row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
47,290
|
describe pompei disaster
|
7d77da939efd153e80dec05a033b378b
|
{
"intermediate": 0.37556344270706177,
"beginner": 0.3809632658958435,
"expert": 0.24347329139709473
}
|
47,291
|
how can I get just shop polygons from the overpass api
|
3a9b6903d412fad87026d58e6519f1ef
|
{
"intermediate": 0.571242094039917,
"beginner": 0.17865511775016785,
"expert": 0.2501027286052704
}
|
47,292
|
I have a date in a string format that looks like this '07.04.2024'. 07 is the day, 04 is the month and 2024 is the year. I am using dayjs library in React and I need to transform that string into the Date format however, when I use this method
dayjs('07.04.2024', 'DD.MM.YYYY').toDate() the resulting date is Thu Jul 04 2024 00:00:00 GMT+0300 (Moscow Standard Time) which is incorrect. The end result should be a date of April 07 2024. How do I fix this?
|
e8676fb91f496bfdaf11eb6f088f8855
|
{
"intermediate": 0.7673643827438354,
"beginner": 0.11498378217220306,
"expert": 0.11765193194150925
}
|
47,293
|
peft_config.num_transformer_submodules设置的作用
|
f624e68521ebe9774a518e54dbdd4c05
|
{
"intermediate": 0.3159782588481903,
"beginner": 0.31713926792144775,
"expert": 0.36688247323036194
}
|
47,294
|
how do i analyze csv in python
|
48f2e11a195599dbcdce351dd99a170d
|
{
"intermediate": 0.4465293884277344,
"beginner": 0.15589669346809387,
"expert": 0.39757388830184937
}
|
47,295
|
hi
|
0da51c2ea045528e140b7812017473a8
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
47,296
|
private string FormatTime(int totalSeconds)
{
var hours = totalSeconds / 3600;
var minutes = (totalSeconds % 3600) / 60;
var seconds = totalSeconds % 60;
return $"{hours:D2}:{minutes:D2}:{seconds:D2}";
}
у меня время в таком формате как мне потом сравнить это время какое больше
|
0110e8073951936d61291dd13b0ad190
|
{
"intermediate": 0.3968333899974823,
"beginner": 0.3004942536354065,
"expert": 0.3026723265647888
}
|
47,297
|
I have a date in a string format that looks like this ‘07.04.2024’. 07 is the day, 04 is the month and 2024 is the year. I am using dayjs library in React and I need to transform that string into the Date format however, when I use this method
dayjs(‘07.04.2024’, ‘DD.MM.YYYY’).toDate() the resulting date is Thu Jul 04 2024 00:00:00 GMT+0300 (Moscow Standard Time) which is incorrect. The end result should be a date of April 07 2024. How do I fix this using dayjs only? Setting locale to 'ru' doesn't help as well.
|
c57c2367370fff8230862422a2cbab13
|
{
"intermediate": 0.7897481918334961,
"beginner": 0.0811130478978157,
"expert": 0.12913869321346283
}
|
47,298
|
TEST_F(OpenGLTestClass, UsecElapsedTest) {
printf("\n[%s] [Basic IO] Checking render Fn of tachometer program object to the location of a uniform variable \n \n",__FILE__);
unsigned long expected_result = (t2.tv_sec - t1.tv_sec) * 1000000 + t2.tv_usec - t1.tv_usec;
unsigned long actual_result = uSecElapsed(&t2, &t1);
ASSERT_EQ(actual_result, expected_result);
} crashed
|
3804967039df876d3aa00d66b033613b
|
{
"intermediate": 0.25628989934921265,
"beginner": 0.5850725173950195,
"expert": 0.1586376428604126
}
|
47,299
|
how can I get shop polygons from the overpass API
|
5d51f64051d4744f4215891c1230a8b3
|
{
"intermediate": 0.683535635471344,
"beginner": 0.12128311395645142,
"expert": 0.1951812356710434
}
|
47,300
|
hoe to impress a girl in hindi
|
5b7333af9c7db6b59e908a98adcbcfb0
|
{
"intermediate": 0.32912197709083557,
"beginner": 0.43936479091644287,
"expert": 0.23151329159736633
}
|
47,301
|
I have the following typedef struct with the OPTIONS_TYPE m_opttype = OPTIONS_MAX and two functions. How can i move OPTIONS_TYPE m_opttype = OPTIONS_MAX
out of the typedef struct and add them directly to the tow function?
typedef struct
{
const char *m_lpTitle; // Folder Title
const char *short_name; // for saving in the .ini
UINT m_nFolderId; // ID
UINT m_nIconId; // if >= 0, resource id of icon (IDI_xxx), otherwise index in image list
DWORD m_dwUnset; // Excluded filters
DWORD m_dwSet; // Implied filters
BOOL m_process; // (not used yet)
void (*m_pfnCreateFolders)(int parent_index); // Constructor for special folders
BOOL (*m_pfnQuery)(uint32_t nDriver); // Query function
BOOL m_bExpectedResult; // Expected query result
OPTIONS_TYPE m_opttype = OPTIONS_MAX; // Has an ini file (vector.ini, etc)
} FOLDERDATA, *LPFOLDERDATA;
---
Function 1:
static BOOL FolderHasIni(LPTREEFOLDER lpFolder)
{
LPCFOLDERDATA data = FindFilter(lpFolder->m_nFolderId);
if (data)
if (data->m_opttype < OPTIONS_MAX)
return true;
if (lpFolder->m_nParent != -1 && FOLDER_SOURCE == treeFolders[lpFolder->m_nParent]->m_nFolderId)
return true;
return false;
}
---
Function 2:
case ID_FOLDER_PROPERTIES:
{
folder = GetSelectedFolder();
if (folder)
if (folder->m_dwFlags & F_INIEDIT)
{
LPCFOLDERDATA data = FindFilter(folder->m_nFolderId);
if (data)
if (data->m_opttype < OPTIONS_MAX)
InitPropertyPage(hInst, hwnd, GetSelectedFolderIcon(), data->m_opttype, folder->m_nFolderId, -1);
}
}
UpdateStatusBar();
break;
---
|
95e6ea5a391c4690df25612f0d43a628
|
{
"intermediate": 0.19644971191883087,
"beginner": 0.6774476766586304,
"expert": 0.12610264122486115
}
|
47,302
|
i want to get the recent-news divs to appear as a grid of 2 columns. Provide only coded answer like i only understand code: <div class="content-block">
<div class="section-area section-sp1">
<div class="container">
<div class="row">
<!-- Left part start -->
<div class="col-md-7 col-lg-10 col-xl-10">
<div class="recent-news blog-lg m-b40">
<div class="action-box">
<img src="assets/images/blog/default/thum2.jpg" alt="">
</div>
<div class="info-bx">
<ul class="media-post">
<li><a href="#"><i class="fa fa-calendar"></i>March 21 2019</a></li>
<li><a href="#"><i class="fa fa-user"></i>By Thomas</a></li>
</ul>
<hr style="margin-bottom: 20px; width: 80%;">
<h5 class="post-title"><a href="blog-details.php">What Will Education Be Like In The Next 50 Years?</a></h5>
<p>Given that you want an exhaustive list of all possible title ideas for your keyword, you certainly can! Save time by downloading ALL the titles. We’ll mail you everything we have in store for easier access.</p>
<hr style="margin-bottom: none; width: 80%;">
<div class="post-extra">
<a href="#" class="btn-link">READ MORE</a>
<a href="#" class="comments-bx"><i class="fa fa-comments-o"></i>23 Comment</a>
</div>
</div>
</div>
<div class="recent-news blog-lg m-b40">
<div class="action-box">
<img src="assets/images/blog/default/thum3.jpg" alt="">
</div>
<div class="info-bx">
<ul class="media-post">
<li><a href="#"><i class="fa fa-calendar"></i>May 08 2019</a></li>
<li><a href="#"><i class="fa fa-user"></i>By Arthur</a></li>
</ul>
<h5 class="post-title"><a href="blog-details.php">Master The Skills Of Education And Be.</a></h5>
<p>Once you’ve gotten all the titles and have chosen the best one, the next thing you need to do is to craft a magnetic content. Great content marketers excel at creating content that their readers crave, but even the best struggle with delivering content to the right person at the right time.</p>
<div class="post-extra">
<a href="#" class="btn-link">READ MORE</a>
<a href="#" class="comments-bx"><i class="fa fa-comments-o"></i>08 Comment</a>
</div>
</div>
</div>
<div class="recent-news blog-lg m-b40">
<div class="action-box">
<img src="assets/images/blog/default/thum4.jpg" alt="">
</div>
<div class="info-bx">
<ul class="media-post">
<li><a href="#"><i class="fa fa-calendar"></i>June 19 2019</a></li>
<li><a href="#"><i class="fa fa-user"></i>By James</a></li>
</ul>
<h5 class="post-title"><a href="blog-details.php">Eliminate Your Fears And Doubts About Education.</a></h5>
<p>To make sure your content drives results, the format needs to be just as well-researched as the information contained in it.</p>
<div class="post-extra">
<a href="#" class="btn-link">READ MORE</a>
<a href="#" class="comments-bx"><i class="fa fa-comments-o"></i>15 Comment</a>
</div>
</div>
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<div class="pagination-bx rounded-sm gray clearfix">
<ul class="pagination">
<li class="previous"><a href="#"><i class="ti-arrow-left"></i> Prev</a></li>
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</div>
<!-- Left part END -->
<!-- Side bar start -->
<div class="col-md-5 col-lg-2 col-xl-2 sticky-top">
<aside class="side-bar sticky-top">
<div class="widget">
<h6 class="widget-title">Search</h6>
<div class="search-bx style-1">
<form role="search" method="post">
<div class="input-group">
<input name="text" class="form-control" placeholder="Enter your keywords..." type="text">
<span class="input-group-btn">
<button type="submit" class="fa fa-search text-primary"></button>
</span>
</div>
</form>
</div>
</div>
<div class="widget recent-posts-entry">
<h6 class="widget-title">Recent Posts</h6>
<div class="widget-post-bx">
<div class="widget-post clearfix">
<div class="ttr-post-media"> <img src="assets/images/blog/recent-blog/pic1.jpg" width="200" height="143" alt=""> </div>
<div class="ttr-post-info">
<div class="ttr-post-header">
<h6 class="post-title"><a href="blog-details.php">This Story Behind Education Will Haunt You Forever.</a></h6>
</div>
<ul class="media-post">
<li><a href="#"><i class="fa fa-calendar"></i>Oct 23 2019</a></li>
<li><a href="#"><i class="fa fa-comments-o"></i>15 Comment</a></li>
</ul>
</div>
</div>
<div class="widget-post clearfix">
<div class="ttr-post-media"> <img src="assets/images/blog/recent-blog/pic2.jpg" width="200" height="160" alt=""> </div>
<div class="ttr-post-info">
<div class="ttr-post-header">
<h6 class="post-title"><a href="blog-details.php">What Will Education Be Like In The Next 50 Years?</a></h6>
</div>
<ul class="media-post">
<li><a href="#"><i class="fa fa-calendar"></i>May 14 2019</a></li>
<li><a href="#"><i class="fa fa-comments-o"></i>23 Comment</a></li>
</ul>
</div>
</div>
<div class="widget-post clearfix">
<div class="ttr-post-media"> <img src="assets/images/blog/recent-blog/pic3.jpg" width="200" height="160" alt=""> </div>
<div class="ttr-post-info">
<div class="ttr-post-header">
<h6 class="post-title"><a href="blog-details.php">Eliminate Your Fears And Doubts About Education.</a></h6>
</div>
<ul class="media-post">
<li><a href="#"><i class="fa fa-calendar"></i>June 12 2019</a></li>
<li><a href="#"><i class="fa fa-comments-o"></i>27 Comment</a></li>
</ul>
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<h6 class="widget-title">Newsletter</h6>
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<input name="dzEmail" required="required" type="email" class="form-control" placeholder="Your Email Address" />
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|
64a4ad346375a50559403308154ce19b
|
{
"intermediate": 0.3263029456138611,
"beginner": 0.2987607419490814,
"expert": 0.3749363124370575
}
|
47,303
|
Here is the script write it in details
|
538f5f066a976003cc167ddff84bc901
|
{
"intermediate": 0.3327399492263794,
"beginner": 0.25721871852874756,
"expert": 0.41004130244255066
}
|
47,304
|
python script to generate json to csv, reading json from a file named data and writing output to an output.csv file
|
a800afa35d3284a1043dc675905c9c46
|
{
"intermediate": 0.4877121150493622,
"beginner": 0.17964577674865723,
"expert": 0.332642138004303
}
|
47,305
|
I have a classification dataset with 18 folders corresponding to 18 classes in it. write a python script to divide this dataset into train, test and valid in ratio 80:10:10
|
441a6c849647121b2082200665036d3d
|
{
"intermediate": 0.43127304315567017,
"beginner": 0.13031576573848724,
"expert": 0.4384111762046814
}
|
47,306
|
Implement a ripple counter and display its corresponding hexadecimal equivalent outputto a single (1) 7-segment.
•For each binary output from 0000 to 1111 of the counter should display the output on theseven segment with the characters “0”, “1”, “2”, “3”, ... , “A”, “B”, ... , “F” respective to thebinary input
The counter should update every two (2) seconds
|
b2dd4347fea5dc0731e1bd0fbc8eea05
|
{
"intermediate": 0.3858845829963684,
"beginner": 0.24427610635757446,
"expert": 0.36983928084373474
}
|
47,307
|
how to write gtest for the function static struct graphics_gc_priv *gc_new(struct graphics_priv *gr, struct graphics_gc_methods *meth) {
struct graphics_gc_priv *gc = g_new0(struct graphics_gc_priv, 1);
*meth = gc_methods;
gc->gr = gr;
gc->linewidth = 1;
return gc;
}
|
093988a4c52876060952f8855c0fe819
|
{
"intermediate": 0.3700827956199646,
"beginner": 0.43497493863105774,
"expert": 0.19494229555130005
}
|
47,308
|
Every second minister in the government is considered a "safe" minister. Your job is to return all of the "safe" ministers sits that want to continue serving in the next government while excluding any minister who spoke a bad word.
The result should contain only the relevant sits.
Before starting to solve the challenge take a look at the table data. It is not clean.
Hint 1
Revealed
Parenthesis are important in conditional statements.
ministers
sit is_next_gov is_spoke_bad
1 1 0 0
2 2 0 1
3 3 yes no
4 4 no no
5 5 1 no
6 6 yes no
7 7 1 no
8 8 0 yes
9 9 0 1
10 10 no 1
11 11 yes yes
12 12 1 1
13 13 1 1
14 14 1 1
15 15 yes 0
16 16 0 0
17 17 0 0
18 18 0 no
19 19 1 yes
20 20 1 no
21 21 0 0
22 22 1 0
23 23 yes 1
24 24 yes 1
25 25 no yes
26 26 1 no
27 27 0 yes
28 28 yes no
29 29 no 0
30 30 yes 0
|
7ce772d41696135691b3a1bf474cf62e
|
{
"intermediate": 0.32757461071014404,
"beginner": 0.4175698161125183,
"expert": 0.25485554337501526
}
|
47,309
|
explain why many say using javascript on the server is a bad idea
|
5abfcf31586c2c3a8c327004c9306ecd
|
{
"intermediate": 0.4476265013217926,
"beginner": 0.25015613436698914,
"expert": 0.30221736431121826
}
|
47,310
|
# %%
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.utils import to_categorical
import numpy as np
# %%
import pandas as pd
# Load the dataset using pandas
df = pd.read_csv(r"C:\Users\arisa\Desktop\combined_day_fl_1hot_custom_extra_and_indic_no_h.csv")
# %%
# Assuming ‘df’ is your DataFrame and ‘Label’ is the target column
X = df.drop(['y_High_1d', 'y_Low_1d', 'y_Priority_1d',
'y_High_2d', 'y_Low_2d', 'y_Priority_2d',
'y_High_3d', 'y_Low_3d', 'y_Priority_3d',
'y_High_5d', 'y_Low_5d', 'y_Priority_5d'], axis=1).values
Y = df[['y_High_1d', 'y_Low_1d', 'y_Priority_1d']].values
# Y = to_categorical(y) # Convert labels to one-hot encoding
# %%
# Normalizing the features
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)
# %%
# Normalizing the features
scaler_y = StandardScaler()
Y_scaled = scaler_y.fit_transform(Y)
# %%
X_train, X_temp, y_train, y_temp = train_test_split(X_scaled, Y_scaled, train_size = 0.92, random_state = 42)
# We will keep the shuffle = True since our dataset has not any time dependency.
X_dev, X_test, y_dev, y_test = train_test_split(X_temp, y_temp, test_size = 0.5, random_state = 42)
# %%
print(f'train samples: {len(X_train)}\ndev samples: {len(X_dev)}\ntest samples: {len(X_test)}')
# %%
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout,Input
import tensorflow as tf
from tensorflow.keras.layers import BatchNormalization
import keras
from tensorflow.keras import Model
def build_model():
# model = Sequential([
# Dense(X.shape[1], input_shape=(X.shape[1],), activation='relu',activity_regularizer=tf.keras.regularizers.L2(0.015)),
# # Dense(2048, activation='relu',activity_regularizer=tf.keras.regularizers.L2(0.010)),
# # Dense(1024, activation='relu',activity_regularizer=tf.keras.regularizers.L2(0.015)),
# Dense(512, activation='relu',activity_regularizer=tf.keras.regularizers.L2(0.01)),
# Dense(256, activation='relu',activity_regularizer=tf.keras.regularizers.L2(0.01)),
# Dense(128, activation='relu'),
# Dense(3) # Output layer
# ])
inputs = Input(shape=(X.shape[1],))
x = Dense(X.shape[1], activation='relu', input_shape=(X.shape[1],)) (inputs)
x = Dense(2048, activation='relu') (x)
x = Dense(1024, activation='relu') (x)
x = Dense(512, activation='relu') (x)
x = Dense(256, activation='relu') (x)
x = Dense(128, activation='relu') (x)
x = Dense(128, activation='relu') (x)
out_high_1d = Dense(1, name='high_output_1d')(x) # No activation, linear output
out_low_1d = Dense(1, name='low_output_1d')(x) # No activation, linear output
out_priority_1d = Dense(1, activation='sigmoid', name='priority_output_1d')(x)
model = Model(inputs=inputs, outputs=[
out_high_1d, out_low_1d, out_priority_1d])
optimizer = keras.optimizers.Adam(learning_rate=0.001)
model.compile(optimizer=optimizer,
loss={
'high_output_1d': 'mse', 'low_output_1d': 'mse', 'priority_output_1d': 'binary_crossentropy',
# 'high_output_2d': 'mse', 'low_output_2d': 'mse', 'priority_output_2d': 'binary_crossentropy',
# 'high_output_3d': 'mse', 'low_output_3d': 'mse', 'priority_output_3d': 'binary_crossentropy',
# 'high_output_5d': 'mse', 'low_output_5d': 'mse', 'priority_output_5d': 'binary_crossentropy'
},
metrics={
'high_output_1d': ['mae'], 'low_output_1d': ['mae'], 'priority_output_1d': ['accuracy'],
# 'high_output_2d': ['mae'], 'low_output_2d': ['mae'], 'priority_output_2d': ['accuracy'],
# 'high_output_3d': ['mae'], 'low_output_3d': ['mae'], 'priority_output_3d': ['accuracy'],
# 'high_output_5d': ['mae'], 'low_output_5d': ['mae'], 'priority_output_5d': ['accuracy']
},
loss_weights={
'high_output_1d': 1.0, 'low_output_1d': 1.0, 'priority_output_1d': 1.0,
# 'high_output_2d': 1.0, 'low_output_2d': 1.0, 'priority_output_2d': 1.0,
# 'high_output_3d': 1.0, 'low_output_3d': 1.0, 'priority_output_3d': 1.0,
# 'high_output_5d': 1.0, 'low_output_5d': 1.0, 'priority_output_5d': 1.0
}
)
# optimizer = keras.optimizers.Adam(learning_rate=0.001)
# model.compile(optimizer=optimizer,
# loss='mse',
# metrics=['mae'])
return model
# %%
model = build_model()
model.summary()
# %%
history = model.fit(X_train, y_train, epochs=6000, batch_size=2048,
validation_data=(X_dev, y_dev))
error:
{
"name": "ValueError",
"message": "in user code:
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1160, in train_function *
return step_function(self, iterator)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1146, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1135, in run_step **
outputs = model.train_step(data)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 994, in train_step
loss = self.compute_loss(x, y, y_pred, sample_weight)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1052, in compute_loss
return self.compiled_loss(
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\compile_utils.py\", line 265, in __call__
loss_value = loss_obj(y_t, y_p, sample_weight=sw)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\losses.py\", line 152, in __call__
losses = call_fn(y_true, y_pred)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\losses.py\", line 272, in call **
return ag_fn(y_true, y_pred, **self._fn_kwargs)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\losses.py\", line 2162, in binary_crossentropy
backend.binary_crossentropy(y_true, y_pred, from_logits=from_logits),
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\backend.py\", line 5677, in binary_crossentropy
return tf.nn.sigmoid_cross_entropy_with_logits(
ValueError: `logits` and `labels` must have the same shape, received ((None, 1) vs (None, 3)).
",
"stack": "---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[11], line 1
----> 1 history = model.fit(X_train, y_train, epochs=6000, batch_size=2048,
2 validation_data=(X_dev, y_dev))
File c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\utils\\traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.__traceback__)
68 # To get the full stack trace, call:
69 # `tf.debugging.disable_traceback_filtering()`
---> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb
File ~\\AppData\\Local\\Temp\\__autograph_generated_file2cc22k5_.py:15, in outer_factory.<locals>.inner_factory.<locals>.tf__train_function(iterator)
13 try:
14 do_return = True
---> 15 retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
16 except:
17 do_return = False
ValueError: in user code:
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1160, in train_function *
return step_function(self, iterator)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1146, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1135, in run_step **
outputs = model.train_step(data)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 994, in train_step
loss = self.compute_loss(x, y, y_pred, sample_weight)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\training.py\", line 1052, in compute_loss
return self.compiled_loss(
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\engine\\compile_utils.py\", line 265, in __call__
loss_value = loss_obj(y_t, y_p, sample_weight=sw)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\losses.py\", line 152, in __call__
losses = call_fn(y_true, y_pred)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\losses.py\", line 272, in call **
return ag_fn(y_true, y_pred, **self._fn_kwargs)
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\losses.py\", line 2162, in binary_crossentropy
backend.binary_crossentropy(y_true, y_pred, from_logits=from_logits),
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\site-packages\\keras\\backend.py\", line 5677, in binary_crossentropy
return tf.nn.sigmoid_cross_entropy_with_logits(
ValueError: `logits` and `labels` must have the same shape, received ((None, 1) vs (None, 3)).
"
}
|
a0a9d8f4f095ce2e9e66845e8cc3f1f7
|
{
"intermediate": 0.38536337018013,
"beginner": 0.39707082509994507,
"expert": 0.21756576001644135
}
|
47,311
|
value. Generate getter and setter methods for each property. Override the
toString() method.
Create three methods:
enterPersonalData() - the method will prompt a student to enter student id,
first name and last name.
enterCollegeData() - the method will prompt a student to enter major and
gpa
displayStudentInfo() - the method will display student information (all data
entered).
In the Main class create a Student object in the main method and invoke
each method to test its functionalit
|
9597d67f1bb8fe911b6ca4641eea1485
|
{
"intermediate": 0.46293535828590393,
"beginner": 0.22710029780864716,
"expert": 0.3099644184112549
}
|
47,312
|
what code can you put in init.py
|
e5385281d032f3a0fb52b949eae965bb
|
{
"intermediate": 0.3583020269870758,
"beginner": 0.37808534502983093,
"expert": 0.26361265778541565
}
|
47,313
|
psycopg2.errors.DuplicateColumn: column "index" of relation "table" already exists. with engine.begin() as conn:
ldap_dataframe.to_sql(
name='table',
schema='db',
con=conn,
if_exists='replace',
index=True,
multi=True
)
# Ajout d'un index
conn.execute(text("""
ALTER TABLE `table` ADD INDEX employeeNumber (employeeNumber);
"""))
|
580b909d62ac8a0e375728094182b721
|
{
"intermediate": 0.3675927221775055,
"beginner": 0.3031863868236542,
"expert": 0.3292209208011627
}
|
47,314
|
You read the code, identify error, and then return the fixed version of the code, CODE ONLY: import pandas as pd
import torch
from transformers import AutoModelForQuestionAnswering, AutoTokenizer
from datasets import load_dataset
# Load a small dataset from Hugging Face's library
dataset = load_dataset("squad", split="train[:1000]") # Load 1000 examples from the SQuAD dataset
# Create a tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForQuestionAnswering.from_pretrained("bert-base-uncased")
# Preprocess the data
import json
def preprocess_function(example):
input_ids = tokenizer(example["question"], example["context"],
truncation=True,
max_length=512,
padding="max_length",
return_tensors="pt")
input_ids["start_positions"] = torch.tensor([example["answers"]["answer_start"][0]])
input_ids["end_positions"] = torch.tensor([example["answers"]["answer_start"][0] + len(example["answers"]["text"][0]) - 1])
return input_ids
dataset = dataset.map(preprocess_function)
# Create a data loader
batch_size = 16
data_loader = torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=True)
# Train the model
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model.to(device)
criterion = torch.nn.CrossEntropyLoss()
optimizer = torch.optim.Adam(model.parameters(), lr=1e-5)
for epoch in range(5):
model.train()
total_loss = 0
for batch in data_loader:
input_ids = torch.tensor([example["input_ids"] for example in batch]).to(device)
attention_mask = torch.tensor([example["attention_mask"] for example in batch]).to(device)
start_positions = torch.tensor([example["start_positions"] for example in batch]).to(device)
end_positions = torch.tensor([example["end_positions"] for example in batch]).to(device)
optimizer.zero_grad()
outputs = model(input_ids, attention_mask=attention_mask,
start_positions=start_positions, end_positions=end_positions)
loss = criterion(outputs.start_logits, start_positions) + criterion(outputs.end_logits, end_positions)
loss.backward()
optimizer.step()
total_loss += loss.item()
print(f"Epoch {epoch+1}, Loss: {total_loss / len(data_loader)}")
model.eval()
|
074106b87c8273993bee9f479b4e7b01
|
{
"intermediate": 0.4154919683933258,
"beginner": 0.35379528999328613,
"expert": 0.23071280121803284
}
|
47,315
|
ldap_dataframe = ldap_dataframe[['qdqsd', 'employeeNumber', 'edd', 'qfsf', 'qfsf', 'qfse', 'cq', 'zc', 'qfsfqe', 'fqzfqfs', 'fqs', 'cqzeqdz', 'dsqca', 'dqsdz', 'dqzd']]
with engine.begin() as conn:
# Charge la table ldap à partir du DataFrame créé précédemment
ldap_dataframe.to_sql(
name='tableld', # Nom de la table SQL
schema='database', # Nom de la base
con=conn, # Connexion/Moteur de la db à utiliser
if_exists='replace', # Comportement si la table fournie existe déjà
index=True,
multi=True
)
# Ajout d'un index
conn.execute(text("""
ALTER TABLE `tableld` ADD INDEX employeeNumber (employeeNumber);
"""))
sycopg2.errors.UndefinedColumn: column "employeenumber" does not exist
|
52427256494cdaa57bf38e40ede2e7c2
|
{
"intermediate": 0.4035530984401703,
"beginner": 0.36603930592536926,
"expert": 0.23040764033794403
}
|
47,316
|
raise KeyError(f"{not_found} not in index")
KeyError: "['employeenumber'] not in index" # Ajout d'un index
conn.execute(text("""
CREATE INDEX ON ldap (employeeNumber);
"""))
|
0ae2652d9bd3cc7f7e78a976997301fc
|
{
"intermediate": 0.3661283254623413,
"beginner": 0.2852524518966675,
"expert": 0.3486191928386688
}
|
47,317
|
tpt script for fastload, need to load from external file to teradata table
|
2eedd2b2f5f1a1dd1c95c2eaea9948b3
|
{
"intermediate": 0.42338642477989197,
"beginner": 0.24861551821231842,
"expert": 0.3279980719089508
}
|
47,318
|
How do I draw a window in C on macos?
|
7a272e499874a88beb16631977f6e0b1
|
{
"intermediate": 0.39184436202049255,
"beginner": 0.25657591223716736,
"expert": 0.3515797257423401
}
|
47,319
|
import { ChangeDetectorRef, Component, Input, Signal, effect, inject } from '@angular/core';
import { CommonModule } from '@angular/common';
import { FormControl, FormGroup, FormsModule, ReactiveFormsModule } from '@angular/forms';
import { Site, UiCollaborater, UiVisitor, VisitType } from 'src/app/core/interfaces/interfaces.ui';
import { MatFormFieldModule } from '@angular/material/form-field';
import { MatInputModule } from '@angular/material/input';
import { MatSelectModule } from '@angular/material/select';
import { MatCheckboxModule } from '@angular/material/checkbox';
import { NgxMatSelectSearchModule } from 'ngx-mat-select-search';
import { SelectComponent, UiLabelValue } from '../../shared/reactive-select/select.component';
import { sites } from 'src/data_test';
import { VisitorService } from '../../visitor/visitor.service';
import { CollaboratorSignalsStateService } from '../../shared/services/signal-state/collaborator-signals-state.service';
import {
EditModeState,
StepLabels,
VisitSignalsStateService,
} from '../../shared/services/signal-state/visit-signals-state.service';
import { ReactiveButtonComponent } from '../../shared/reactive-button/reactive-button.component';
import { DialogService } from '../../shared/services/dialog.service';
import { DialogAddVisitorComponent } from './dialog-add-visitor.component';
import { MatExpansionModule } from '@angular/material/expansion';
import { ListVisitorDetailsComponent } from '../detail/list-visitor-details.component';
import { UiTableAction } from 'src/app/core/interfaces/datatable.interface';
import { DialogUpdateVisitorComponent } from './dialog-update-visitor.component';
import { DialogRemoveVisitorComponent } from './dialog-remove-visitor.component';
@Component({
selector: 'app-visitor-form',
standalone: true,
imports: [
CommonModule,
ReactiveFormsModule,
FormsModule,
MatFormFieldModule,
MatInputModule,
MatSelectModule,
MatCheckboxModule,
NgxMatSelectSearchModule,
SelectComponent,
ReactiveButtonComponent,
MatExpansionModule,
ListVisitorDetailsComponent,
],
template: `
<form class="form-container mb-5 flex flex-col gap-8" [formGroup]="visitorFormGroup">
<div class="form-block__pre">
<div class="flex-1 basis-[6%]">
<h1>{{ dataStateMode.updateTitleStep[0] }}</h1>
<h3 class="text-center">1 - Objet & Visiteur(s)</h3>
<p class="leading-normal text-gray-500">
{{ labels().STEP_VISITOR }}
</p>
</div>
<div class="mt-6 flex flex-wrap items-start gap-5">
<div class="flex-1 rounded-2xl border-gray-200 bg-opacity-60 pb-0">
<div class="flex flex-col">
<label class="mb-2 inline-block font-semibold">Objet de la visite *</label>
<mat-form-field appearance="outline">
<input formControlName="title" matInput />
<mat-error class="text-sm">Le titre est obligatoire</mat-error>
</mat-form-field>
<label for="input-description" class="mb-2 inline-block font-semibold"
>Description de la visite</label
>
<mat-form-field class="textarea" appearance="outline">
<textarea
id="input-description"
placeholder="Entrez la description"
matInput
rows="3"
formControlName="description"></textarea>
</mat-form-field>
</div>
</div>
</div>
</div>
<div class="form-block__info">
<div class="grid auto-cols-max grid-cols-4 grid-rows-none gap-x-4 gap-y-2">
<div class="col-span-2">
<p class="mb-3 font-semibold">Lieu de la visite *</p>
<mat-form-field class="col-span-2 self-end" appearance="outline">
<mat-select formControlName="site">
<mat-option *ngFor="let site of physicalSites" [value]="site">{{
site.libelle
}}</mat-option>
</mat-select>
</mat-form-field>
</div>
<div class="col-span-2">
<p class="mb-3 font-semibold">Visite organisée pour un collègue</p>
<app-select
[reactiveFormGroup]="visitorFormGroup"
controlName="initiator"
[formField]="{
label: 'Sélectionner le collaborateur',
placeholder: 'Rechercher un collaborateur'
}"
[selectList]="collaboratorsList">
</app-select>
</div>
<h2 class="col-span-4 row-start-2 mb-2">Visiteur(s) et besoins</h2>
<div class="col-span-2 row-start-4 rounded-2xl border border-gray-300 p-6">
<div class="mb-4 ml-2">
<h3 class="text-center">Visiteur(s)</h3>
</div>
<p>Cliquez sur l'un des deux boutons pour ajouter un visiteur.</p>
<div class="mb-5 mt-2 flex justify-center gap-4">
<reactive-button
standalone
icon="person_add"
[action]="openAddVisitorDialog"
[hint]="{
position: 'left',
label: 'Créer un tout nouveau visiteur'
}"
variant="primary" />
<reactive-button
icon="person_search"
standalone
[action]="openVisitorSearchDialog"
[hint]="{
position: 'right',
label:
'Rechercher parmi les visiteurs ayant déja effectué une visite sur les sites '
}"
variant="primary" />
</div>
<p class="mb-2 mt-4">
Liste des visiteurs invités * ({{ visitors.value?.length || 0 }})
</p>
<app-list-visitor-details
*ngIf="visitors.value !== null"
[actions]="listVisitorActions"
[labels]="{ name: 'Nom', surname: 'Prénom' }"
[visitors]="visitors.value" />
<div
*ngIf="visitors.value === null || visitors.value.length === 0"
class="card-search-item">
Aucun visiteurs
</div>
</div>
<div
class="col-span-2 col-start-3 row-start-4 h-fit rounded-2xl border border-gray-200 bg-gray-50 p-6">
<div class="mb-4">
<h3 class="text-center">Besoins</h3>
<p>Identifiez les besoins et informations concernant cette visite.</p>
</div>
<div class="needs flex flex-col">
<mat-checkbox formControlName="needBadge">Badge</mat-checkbox>
<mat-checkbox formControlName="overtime">Dépassement horaire</mat-checkbox>
</div>
</div>
<h2 class="col-span-4 row-start-6">Personne à contacter en cas de problème</h2>
<mat-form-field class="col-span-2 row-start-7" appearance="outline">
<mat-label>Prénom et Nom</mat-label>
<input formControlName="contactName" matInput />
</mat-form-field>
<mat-form-field class="col-span-2 col-start-3 row-start-7" appearance="outline">
<mat-label>Téléphone</mat-label>
<input formControlName="contactPhone" matInput />
</mat-form-field>
</div>
</div>
</form>
`,
styles: [],
})
export class VisitorFormComponent {
@Input({ required: true }) visitorFormGroup!: VisitorForm;
@Input({ required: true }) dataStateMode!: EditModeState;
visitType: Signal<VisitType>;
physicalSites = sites;
collaborators!: Signal<UiCollaborater[] | null>;
collaboratorsList!: UiLabelValue<Partial<UiCollaborater>>[];
listVisitorActions: UiTableAction<Partial<UiVisitor>>[] = [];
labels: Signal<StepLabels>;
private visitorService = inject(VisitorService);
private collaboratorState = inject(CollaboratorSignalsStateService);
private visitState = inject(VisitSignalsStateService);
private dialog = inject(DialogService);
constructor() {
this.listVisitorActions = [
{
action: (visitor): void => {
console.log(visitor);
this.openUpdateVisitorDialog(visitor);
},
label: '',
icon: 'update',
variant: 'secondary',
hint: {
label: 'Modifier le visiteur',
},
},
{
action: (visitor): void => {
console.log(visitor);
this.openVisitorRemoveDialog(visitor);
},
label: '',
icon: 'close',
variant: 'secondary',
hint: {
label: 'Supprimer le visiteur',
},
},
];
effect(() => {
this.collaborators = this.collaboratorState.select('collaboratorList');
console.log(this.collaborators());
if (this.collaborators() != undefined || this.collaborators() != null) {
this.collaboratorsList = this.collaborators()!.map(collaborator => {
return { label: collaborator.username, value: collaborator };
});
}
});
this.visitType = this.visitState.select('type');
this.labels = this.visitState.select('stepLabels');
}
get visitors() {
return this.visitorFormGroup.get('visitors') as FormControl<Partial<UiVisitor>[] | null>;
}
openVisitorRemoveDialog(visitor: Partial<UiVisitor>) {
this.dialog
.open(DialogRemoveVisitorComponent, { data: { partialVisitor: visitor }, width: '600px' })
.afterClosed()
.subscribe(visitor => {
if (!visitor) return;
this.removeVisitorFromGroup(visitor);
if (this.dataStateMode.enable) {
this.removeVisitor(visitor, this.dataStateMode.visitId as number);
}
});
}
removeVisitorFromGroup = (visitor: Partial<UiVisitor>) => {
const visitors = this.visitors?.value;
if (!visitors) return;
this.visitors?.patchValue(visitors.filter(v => v.email !== visitor.email));
};
removeVisitor = (visitor: Partial<UiVisitor>, visitId: number) => {
this.visitorService.DeleteVisitorFromVisit(visitId).subscribe(() => {
console.log(visitor)
})
}
openVisitorSearchDialog = () => {
this.visitorService.openSearchVisitorFormDialog().subscribe(visitor => {
if (!visitor) return;
this.addVisitorToGroup(visitor);
});
};
openAddVisitorDialog = () => {
this.dialog
.open(DialogAddVisitorComponent, {
width: '600px',
})
.afterClosed()
.subscribe(v => {
if (!v) return;
this.addVisitorToGroup(v);
if (this.dataStateMode.enable) {
this.addVisitor(v, this.dataStateMode.visitId as number);
}
});
};
addVisitor = (visitor: Partial<UiVisitor>, visitId: number) => {
this.visitorService.addVisitor(visitor, visitId).subscribe(visitor => {
console.log(visitor);
});
};
openUpdateVisitorDialog(visitor: Partial<UiVisitor>) {
console.log(this.visitors);
console.log(visitor);
this.dialog
.open(DialogUpdateVisitorComponent, { data: { partialVisitor: visitor }, width: '600px' })
.afterClosed()
.subscribe(visitor => {
console.log(visitor);
if (!visitor) return;
this.updateVisitorToGroup(visitor);
if (this.dataStateMode.enable || visitor.id) {
this.updateVisitor(visitor);
}
});
}
addVisitorToGroup = (visitor: Partial<UiVisitor>) => {
const visitors = this.visitors?.value;
if (visitors?.find(v => (v?.id && v?.id === visitor.id) || v?.email === visitor.email)) {
return this.dialog.openSimpleReactiveDialogWithoutActions({
message: `Attention, vous avez déja ajouté ${visitor.name} ${visitor.surname} à la visite`,
title: 'Attention',
});
}
const addedVisitors = visitors && visitors.length > 0 ? [...visitors, visitor] : [visitor];
this.visitors?.patchValue(addedVisitors);
this.dialog.openSimpleReactiveDialogWithoutActions({
message: `Visiteur ajouté`,
title: 'Information',
});
};
private updateVisitor(visitor: Partial<UiVisitor>) {
this.visitorService.updateVisitorFromVisit(visitor).subscribe(visitor => {
console.log(visitor);
});
}
updateVisitorToGroup(payloadVisitor: Partial<UiVisitor>) {
const visitor = this.visitors.value?.find(v => v.email === payloadVisitor.email);
if (!visitor) {
return this.dialog.openSimpleReactiveDialogWithoutActions({
message: "Le visiteur n'existe pas ou l'adresse mail est déja référencé",
title: 'Attention',
});
}
this.visitors.patchValue([
...(this.visitors.value?.filter(v => v.email !== visitor.email) || []),
payloadVisitor,
]);
}
}
export type VisitorForm = FormGroup<{
initiator: FormControl<Partial<UiCollaborater> | null>;
site: FormControl<Site | null>;
visitors: FormControl<Partial<UiVisitor>[] | null>;
needBadge: FormControl<boolean | null>;
overtime: FormControl<boolean | null>;
contactName: FormControl<string | null>;
contactPhone: FormControl<string | null>;
title: FormControl<string | null>;
description: FormControl<string | null>;
}>;
|
ee8268f7a434efde708bd03a4453027d
|
{
"intermediate": 0.38432011008262634,
"beginner": 0.32140806317329407,
"expert": 0.2942718267440796
}
|
47,320
|
is it possible to train and sgboost ensmble decesion tree that can predict 3 y?
|
162d18ff17ce88b5b1bc1513b61c91f0
|
{
"intermediate": 0.14595501124858856,
"beginner": 0.060876406729221344,
"expert": 0.7931686043739319
}
|
47,321
|
how oculd I get this counter working in an audio effect for scripting DSP in C? the coutner doesn't actually change, despite the fact, that it should increment every sample, so I need to make thisevaluated elsewise.
/*
Welcome to Formula!
If this is your first time, be sure to check out the tutorials
under the 'Saved files' tab.
*/
formula_main {
float output = input;
int counter;
counter++;
DEBUG(counter);
if (counter >= 1) {
counter = 0;
return output;
}
}
|
2c4bd2a4c8b11f58f7fabbbb0fd65781
|
{
"intermediate": 0.6868963241577148,
"beginner": 0.21881011128425598,
"expert": 0.09429354220628738
}
|
47,322
|
i have a dataset which has 3 y values (y's are from same distribution)
i trained a model on my dateset to predict y1
is it better to retrain my currently trained model to predict y2 and y3 or train new model for them separatly?
|
7d250561ed3987c52ad604e6b46dff3f
|
{
"intermediate": 0.3550408184528351,
"beginner": 0.1313871294260025,
"expert": 0.5135720372200012
}
|
47,323
|
Consider the following iteration
statement:
int solve = 1;
What is the value of solve after the for loop
terminates?
A. solve = 26
for (int lcv
=
0; lcv
|
5dd9f852af34599b11ecb684bb69dd31
|
{
"intermediate": 0.21317560970783234,
"beginner": 0.6092754602432251,
"expert": 0.1775488555431366
}
|
47,324
|
Change this code to alexnet:
def build_model(input_shape, num_classes):
base_model = VGG16(weights= None, include_top=False, input_shape=input_shape)
x = base_model.output
x = Flatten()(x)
# Classification output layer
predictions = Dense(num_classes, activation='softmax')(x)
# Define the model
model = Model(inputs=base_model.input, outputs=predictions)
return model
|
37a2882f0aef3a3782770020b83eb3f8
|
{
"intermediate": 0.29281893372535706,
"beginner": 0.2949007749557495,
"expert": 0.41228026151657104
}
|
47,325
|
hello
|
4c1cb84024acaea64ab5cdd78d7e77ea
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
47,326
|
Check this:
let x: &str = "hi";
let y: char = '+';
|
a87f3782a8e20be91a2072392ec0196a
|
{
"intermediate": 0.2590041756629944,
"beginner": 0.48529231548309326,
"expert": 0.25570350885391235
}
|
47,327
|
Check this:
let x: &str = “hi”;
let y: char = ‘+’;
I want to concatenate them and end up with a Arc<str>, help me. Implement the most efficient, fastest and elegant way possible.
|
03fe8bd81b55861e66b769550e1e1b10
|
{
"intermediate": 0.3401467800140381,
"beginner": 0.44187092781066895,
"expert": 0.21798229217529297
}
|
47,328
|
I need you to implement a MatrixInverse function using this outline: /* MatrixInverse calculates the inverse of a matrix and
* "returns" the result by modifying the second argument.
* @param: mat, a pointer to a 3x3 matrix
* @param: result, a pointer to a 3x3 matrix that is modified to contain the inverse of mat
* @return: none
* mat is not modified by this function. result is modified by this function.
*/
void MatrixInverse(float mat[3][3], float result[3][3]);
|
3ac7f66425dad7cb9aeefa4a5db73b94
|
{
"intermediate": 0.4234946072101593,
"beginner": 0.32345685362815857,
"expert": 0.25304853916168213
}
|
47,329
|
create documentation in detail and explain code line by line and create a flow chart also
import time
import schedule
from settings import *
from services.waferservice import WaferService
from utils.defecthelper import *
from datetime import datetime
from modules.quadtree import Point, Rect, QuadTree
logger = logging.getLogger('service-logger')
wafer_service = WaferService()
def main():
try:
# get tolerance value for calculation
tolerance = wafer_service.get_tolerance()
tolerance = micro_to_mm(tolerance)
wafer_status = wafer_service.get_wafer_status()
check_process = ""
for wafer in wafer_status:
lot_id = wafer.get("lotId")
wafer_number = wafer.get("waferNumber")
# if lot_id + wafer_number == check_process:
# # if the process is already checked continue to next iteration.
# pass #continue removed process check to diffrenetiate testNO
wafer_id = wafer.get("waferId")
process = wafer_service.get_process(lot_id, wafer_number,wafer)
start_time = time.time()
if len(process) > 1:
check_process = lot_id + wafer_number
for count, proc in enumerate(process):
wafer_inspection = wafer_service.get_wafer_inspection_data(
proc.get("waferId"))
if wafer_inspection:
if not wafer_inspection.get("inspectionStatus", 0):
# lock the wafer inspection by changing the status to 2.
wafer_service.update_inspection_status(
proc.get("waferId"),
INSPECTION_STATUS.get("ADDER_CALCULATION_STARTED"))
process_quadtree(proc, process, count,
tolerance, False)
recalculation_needed = check_for_recalculation(
process)
if recalculation_needed and count:
# recalculate the adders for previous processes
recalculate_adder(process, count, tolerance)
else:
logger.error("Inspection Record not found for process %s (lotId : %s, waferNumber : %s) ",
proc.get("stepId"), lot_id, wafer_number)
else:
wafer_inspection = wafer_service.get_wafer_inspection_data(
wafer.get("waferId"))
if wafer_inspection:
# if only one process, set all the defects for that wafer as adder
if not wafer_inspection.get("inspectionStatus", 0):
# change the inspection status to 2
wafer_service.update_inspection_status(wafer.get("waferId"),
INSPECTION_STATUS.get("ADDER_CALCULATION_STARTED"))
logger.info("Service Started at : %s for process %s "
"(lotId: %s, waferNumber: %s)", datetime.now().strftime(
"%d/%m/%Y %H:%M:%S"),
wafer.get("stepId"), lot_id, wafer_number)
wafer_id = wafer.get("waferId")
wafer_service.set_adder(wafer_id)
defects = wafer_service.get_wafer_defects(wafer_id)
# update wafer summary
wafer_service.update_wafer_summary(
wafer_id, len(defects))
# change the inspection status to 1
wafer_service.update_inspection_status(wafer.get("waferId"),
INSPECTION_STATUS.get("ACTIVE"))
logger.info("%s Adders found for process %s "
"(lotId : %s, waferNumber : %s) in %s seconds with tolerance %sμm",
len(defects), wafer.get(
"stepId"), lot_id, wafer_number,
(time.time() - start_time), mm_to_micro(tolerance))
else:
logger.error("Inspection Record not found for process %s (lotId : %s, waferNumber : %s) ",
wafer.get("stepId"), lot_id, wafer_number)
except Exception as e:
logger.error(e, exc_info=False)
def build_quad_tree(processes, start_time, tolerance):
"""
function which builds a quadTree and returns the tree and points
"""
if not len(processes) == 1:
root_process = processes[0]
root_process_defects = wafer_service.get_wafer_defects(
root_process.get("waferId"))
# get the waferInspection data for that process to calculate the dies
wafer_inspection = wafer_service.get_wafer_inspection_data(
root_process.get("waferId"))
lot_record = wafer_inspection.get("lotRecord")
wafer_diameter = nm_to_mm(lot_record.get("sampleSize").get("x"))
wafer_record = lot_record.get("waferRecord")
die_pitch = dict(height=nm_to_mm(wafer_record.get("diePitch").get("y")),
width=nm_to_mm(wafer_record.get("diePitch").get("x")))
die_origin = dict(x=nm_to_mm(wafer_record.get("dieOrigin").get("x")),
y=nm_to_mm(wafer_record.get("dieOrigin").get("y")))
sample_center = wafer_record.get("sampleCenterLocation")
sample_center_location = dict(x=nm_to_mm(
sample_center.get("x")), y=nm_to_mm(sample_center.get("y")))
# sampleCenterLocation and dieOrigin are distance from sample coordinate origin
wafer_center = dict(x=SAMPLE_COORDINATE_ORIGIN.get("X") + sample_center_location.get("x"),
y=SAMPLE_COORDINATE_ORIGIN.get("Y") - sample_center_location.get("y"))
d_origin = dict(x=SAMPLE_COORDINATE_ORIGIN.get("X") + die_origin.get("x"),
y=SAMPLE_COORDINATE_ORIGIN.get("Y") - die_origin.get("y"))
# generate the dies
dies_obj = generate_dies(
wafer_center, die_pitch, d_origin, wafer_diameter)
width, height = wafer_diameter * 2, wafer_diameter * 2
domain = Rect(width / 2, height / 2, width, height)
q_tree = QuadTree(domain, QUAD_DEPTH)
# get the defects of most recent process which needs to be compared with other defects
root_points = list()
for defect in root_process_defects:
x1, y1, update_quad_tree = calculate_defect_position(
defect, dies_obj, die_pitch)
if update_quad_tree:
point = Point(x1, y1, defect.get("_id"))
root_points.append(point)
points = list()
# add the defects from previous processes to the quad tree
for count, process in enumerate(processes):
# get the defects from waferDefects collection for the most recent process
if count:
process_defects = wafer_service.get_wafer_defects(
process.get("waferId"))
for defect in process_defects:
x1, y1, update_quad_tree = calculate_defect_position(
defect, dies_obj, die_pitch)
if update_quad_tree:
point = Point(x1, y1)
points.append(point)
q_tree.insert(point)
return q_tree, root_points
else:
proc = processes[0]
# make all the defects in the last process as adder
wafer_service.set_adder(proc.get("waferId"))
defects = wafer_service.get_wafer_defects(proc.get("waferId"))
# update wafer summary
wafer_service.update_wafer_summary(proc.get("waferId"), len(defects))
# change inspection status to 1
wafer_service.update_inspection_status(proc.get("waferId"),
INSPECTION_STATUS.get("ACTIVE"))
logger.info("%s Adders found for process %s "
"(lotId : %s, waferNumber : %s) in %s seconds with tolerance %sμm",
len(defects), proc.get("stepId"), proc.get(
"lotId"), proc.get("waferNumber"),
(time.time() - start_time), mm_to_micro(tolerance))
return [], []
def calculate_adder(q_tree, points, tolerance, q):
"""
function which checks for the point inside the tree
"""
if len(points):
for p in points:
found_points = list()
q_tree.query_radius((p.x, p.y), tolerance, found_points)
if not len(found_points):
q.append(p.payload)
def check_for_recalculation(processes):
"""
function which checks whether recalculation is needed for a process( if KRF is not parsed in order).
"""
count = 0
for proc in processes:
wafer_inspection = wafer_service.get_wafer_inspection_data(
proc.get("waferId"))
if wafer_inspection.get("inspectionStatus") == INSPECTION_STATUS.get("ACTIVE"):
count += 1
if len(processes) == count:
return True
else:
return False
def recalculate_adder(process, stop_count, tolerance):
for count, proc in enumerate(process):
if count == stop_count:
break
process_quadtree(proc, process, count, tolerance, True)
def process_quadtree(proc, process, count, tolerance, is_recalculate):
lot_id = proc.get("lotId")
wafer_number = proc.get("waferNumber")
wafer_id = proc.get("waferId")
start_time = time.time()
logger.info("Service Started at : %s for process %s "
"(lotId: %s, waferNumber: %s)", datetime.now().strftime(
"%d/%m/%Y %H:%M:%S"),
proc.get("stepId"), lot_id, wafer_number)
if is_recalculate:
# remove the adders previously set
wafer_service.remove_adder(wafer_id)
# loop through each process to create its quadTree with remaining processes and calculate its adder/carryover
q_tree, points = build_quad_tree(
process[count:], start_time, tolerance)
adder = list()
if len(points):
calculate_adder(q_tree, points, tolerance, adder)
if len(adder):
wafer_service.set_wafer_adder(adder)
# update wafer summary count
wafer_service.update_wafer_summary(
proc.get("waferId"), len(adder))
if not is_recalculate:
# change the wafer inspection status for the process
wafer_service.update_inspection_status(proc.get("waferId"),
INSPECTION_STATUS.get("ACTIVE"))
logger.info("%s Adders found for process %s "
"(lotId : %s, waferNumber : %s) in %s seconds with tolerance %sμm",
len(adder), proc.get(
"stepId"), lot_id, wafer_number,
(time.time() - start_time), mm_to_micro(tolerance))
schedule.every(SERVICE_TRIGGER_INTERVAL).seconds.do(main)
if __name__ == '__main__':
while True:
schedule.run_pending()
time.sleep(1)
|
d39b68af2a6d7415998624b28add358e
|
{
"intermediate": 0.39030417799949646,
"beginner": 0.47559604048728943,
"expert": 0.1340998262166977
}
|
47,330
|
Перепиши этот код так, чтобы он был максимально не похожим, но его логика осталась прежней #include <bits/stdc++.h>
// tiom4eg's precompiler options
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
// IO settings
#define fastIO ios_base::sync_with_stdio(false); cin.tie(0)
// Quick types
#define ll long long
#define ld long double
//#define ull unsigned long long
#define pii pair <int, int>
#define vi vector <int>
#define mi vector <vector <int>>
// Quick functions
#define endl "\n"
#define F first
#define S second
#define all(a) a.begin(), a.end()
#define sz(a) (int)(a.size())
#define pb push_back
#define mp make_pair
// Quick fors
#define FOR(i, a, b) for (int i = a; i < b; ++i)
#define FORS(i, a, b, c) for (int i = a; i < b; i += c)
#define RFOR(i, a, b) for (int i = a; i >= b; --i)
#define EACH(e, a) for (auto& e : a)
// Pragmas
#ifndef TIOM4EG
#pragma GCC optimize("O3") // let the chaos begin!
#pragma GCC target("avx,tune=native")
#pragma GCC comment(linker, "/stack:200000000")
#endif
// PBDS
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#define pbds tree <int, null_type, less <int>, rb_tree_tag, tree_order_statistics_node_update>
using namespace __gnu_pbds;
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
using namespace std;
mt19937 rng(chrono::duration_cast<chrono::milliseconds>(chrono::system_clock::now().time_since_epoch()).count());
//#define int long long
const int INF = 1e9 + 7, MD = 998244353, MAX = 50007, LG = 17, R = 1 << LG, MOD = 1040015701, MOD2 = 1e9 + 9, B = 256;
const ll INFLL = 1e18 + 7;
/// https://github.com/tiom4eg/code-library/blob/master/Strings/Suffix%20Array.cpp
void induced_sort(const vector<int> &vec, int val_range, vector<int> &SA, const vector<bool> &sl, const vector<int> &lms_idx) {
vector<int> l(val_range, 0), r(val_range, 0);
for (int c : vec) {
if (c + 1 < val_range) ++l[c + 1];
++r[c];
}
partial_sum(l.begin(), l.end(), l.begin());
partial_sum(r.begin(), r.end(), r.begin());
fill(SA.begin(), SA.end(), -1);
for (int i = lms_idx.size() - 1; i >= 0; --i)
SA[--r[vec[lms_idx[i]]]] = lms_idx[i];
for (int i : SA)
if (i >= 1 && sl[i - 1]) {
SA[l[vec[i - 1]]++] = i - 1;
}
fill(r.begin(), r.end(), 0);
for (int c : vec)
++r[c];
partial_sum(r.begin(), r.end(), r.begin());
for (int k = SA.size() - 1, i = SA[k]; k >= 1; --k, i = SA[k])
if (i >= 1 && !sl[i - 1]) {
SA[--r[vec[i - 1]]] = i - 1;
}
}
vector<int> SA_IS(const vector<int> &vec, int val_range) {
const int n = vec.size();
vector<int> SA(n), lms_idx;
vector<bool> sl(n);
sl[n - 1] = false;
for (int i = n - 2; i >= 0; --i) {
sl[i] = (vec[i] > vec[i + 1] || (vec[i] == vec[i + 1] && sl[i + 1]));
if (sl[i] && !sl[i + 1]) lms_idx.push_back(i + 1);
}
reverse(lms_idx.begin(), lms_idx.end());
induced_sort(vec, val_range, SA, sl, lms_idx);
vector<int> new_lms_idx(lms_idx.size()), lms_vec(lms_idx.size());
for (int i = 0, k = 0; i < n; ++i)
if (!sl[SA[i]] && SA[i] >= 1 && sl[SA[i] - 1]) {
new_lms_idx[k++] = SA[i];
}
int cur = 0;
SA[n - 1] = cur;
for (size_t k = 1; k < new_lms_idx.size(); ++k) {
int i = new_lms_idx[k - 1], j = new_lms_idx[k];
if (vec[i] != vec[j]) {
SA[j] = ++cur;
continue;
}
bool flag = false;
for (int a = i + 1, b = j + 1;; ++a, ++b) {
if (vec[a] != vec[b]) {
flag = true;
break;
}
if ((!sl[a] && sl[a - 1]) || (!sl[b] && sl[b - 1])) {
flag = !((!sl[a] && sl[a - 1]) && (!sl[b] && sl[b - 1]));
break;
}
}
SA[j] = (flag ? ++cur : cur);
}
for (size_t i = 0; i < lms_idx.size(); ++i)
lms_vec[i] = SA[lms_idx[i]];
if (cur + 1 < (int)lms_idx.size()) {
auto lms_SA = SA_IS(lms_vec, cur + 1);
for (size_t i = 0; i < lms_idx.size(); ++i) {
new_lms_idx[i] = lms_idx[lms_SA[i]];
}
}
induced_sort(vec, val_range, SA, sl, new_lms_idx);
return SA;
}
vector<int> suffix_array(const string &s, const int LIM = 128) {
vector<int> vec(s.size() + 1);
copy(begin(s), end(s), begin(vec));
vec.back() = (char)(1);
auto ret = SA_IS(vec, LIM);
ret.erase(ret.begin());
return ret;
}
struct SuffixArray {
int n;
string s;
vector<int> sa, rank, lcp;
vector<vector<int>> t;
vector<int> lg;
SuffixArray() {}
SuffixArray(string _s) {
n = _s.size();
s = _s;
sa = suffix_array(s);
rank.resize(n);
for (int i = 0; i < n; i++) rank[sa[i]] = i;
costruct_lcp();
prec();
build();
}
void costruct_lcp() {
int k = 0;
lcp.resize(n - 1, 0);
for (int i = 0; i < n; i++) {
if (rank[i] == n - 1) {
k = 0;
continue;
}
int j = sa[rank[i] + 1];
while (i + k < n && j + k < n && s[i + k] == s[j + k]) k++;
lcp[rank[i]] = k;
if (k) k--;
}
}
void prec() {
lg.resize(n, 0);
for (int i = 2; i < n; i++) lg[i] = lg[i / 2] + 1;
}
void build() {
int sz = n - 1;
t.resize(sz);
for (int i = 0; i < sz; i++) {
t[i].resize(LG);
t[i][0] = lcp[i];
}
for (int k = 1; k < LG; ++k) {
for (int i = 0; i + (1 << k) - 1 < sz; ++i) {
t[i][k] = min(t[i][k - 1], t[i + (1 << (k - 1))][k - 1]);
}
}
}
int query(int l, int r) { // minimum of lcp[l], ..., lcp[r]
int k = lg[r - l + 1];
return min(t[l][k], t[r - (1 << k) + 1][k]);
}
int get_lcp(int i, int j) { // lcp of suffix starting from i and j
if (i == j) return n - i;
int l = rank[i], r = rank[j];
if (l > r) swap(l, r);
return query(l, r - 1);
}
int lower_bound(string &t) {
int l = 0, r = n - 1, k = t.size(), ans = n;
while (l <= r) {
int mid = l + r >> 1;
if (s.substr(sa[mid], min(n - sa[mid], k)) >= t) ans = mid, r = mid - 1;
else l = mid + 1;
}
return ans;
}
int upper_bound(string &t) {
int l = 0, r = n - 1, k = t.size(), ans = n;
while (l <= r) {
int mid = l + r >> 1;
if (s.substr(sa[mid], min(n - sa[mid], k)) > t) ans = mid, r = mid - 1;
else l = mid + 1;
}
return ans;
}
// occurrences of s[p, ..., p + len - 1]
pair<int, int> find_occurrence(int p, int len) {
p = rank[p];
pair<int, int> ans = {p, p};
int l = 0, r = p - 1;
while (l <= r) {
int mid = l + r >> 1;
if (query(mid, p - 1) >= len) ans.first = mid, r = mid - 1;
else l = mid + 1;
}
l = p + 1, r = n - 1;
while (l <= r) {
int mid = l + r >> 1;
if (query(p, mid - 1) >= len) ans.second = mid, l = mid + 1;
else r = mid - 1;
}
return ans;
}
};
///
signed main() {
fastIO;
string s; getline(cin, s);
SuffixArray t(s);
EACH(e, t.sa) cout << e + 1 << ' ';
}
|
13983f8fda3069adac954aba200ed6be
|
{
"intermediate": 0.2784031927585602,
"beginner": 0.5346202254295349,
"expert": 0.18697655200958252
}
|
47,331
|
перепиши этот код без дефайнов #include <bits/stdc++.h>
// tiom4eg's precompiler options
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
// IO settings
#define fastIO ios_base::sync_with_stdio(false); cin.tie(0)
// Quick types
#define ll long long
#define ld long double
//#define ull unsigned long long
#define pii pair <int, int>
#define vi vector <int>
#define mi vector <vector <int>>
// Quick functions
#define endl "\n"
#define F first
#define S second
#define all(a) a.begin(), a.end()
#define sz(a) (int)(a.size())
#define pb push_back
#define mp make_pair
// Quick fors
#define FOR(i, a, b) for (int i = a; i < b; ++i)
#define FORS(i, a, b, c) for (int i = a; i < b; i += c)
#define RFOR(i, a, b) for (int i = a; i >= b; --i)
#define EACH(e, a) for (auto& e : a)
// Pragmas
#ifndef TIOM4EG
#pragma GCC optimize("O3") // let the chaos begin!
#pragma GCC target("avx,tune=native")
#pragma GCC comment(linker, "/stack:200000000")
#endif
// PBDS
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#define pbds tree <int, null_type, less <int>, rb_tree_tag, tree_order_statistics_node_update>
using namespace __gnu_pbds;
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
using namespace std;
mt19937 rng(chrono::duration_cast<chrono::milliseconds>(chrono::system_clock::now().time_since_epoch()).count());
//#define int long long
const int INF = 1e9 + 7, MD = 998244353, MAX = 50007, LG = 17, R = 1 << LG, MOD = 1040015701, MOD2 = 1e9 + 9, B = 256;
const ll INFLL = 1e18 + 7;
/// https://github.com/tiom4eg/code-library/blob/master/Strings/Suffix%20Array.cpp
void induced_sort(const vector<int> &vec, int val_range, vector<int> &SA, const vector<bool> &sl, const vector<int> &lms_idx) {
vector<int> l(val_range, 0), r(val_range, 0);
for (int c : vec) {
if (c + 1 < val_range) ++l[c + 1];
++r[c];
}
partial_sum(l.begin(), l.end(), l.begin());
partial_sum(r.begin(), r.end(), r.begin());
fill(SA.begin(), SA.end(), -1);
for (int i = lms_idx.size() - 1; i >= 0; --i)
SA[--r[vec[lms_idx[i]]]] = lms_idx[i];
for (int i : SA)
if (i >= 1 && sl[i - 1]) {
SA[l[vec[i - 1]]++] = i - 1;
}
fill(r.begin(), r.end(), 0);
for (int c : vec)
++r[c];
partial_sum(r.begin(), r.end(), r.begin());
for (int k = SA.size() - 1, i = SA[k]; k >= 1; --k, i = SA[k])
if (i >= 1 && !sl[i - 1]) {
SA[--r[vec[i - 1]]] = i - 1;
}
}
vector<int> SA_IS(const vector<int> &vec, int val_range) {
const int n = vec.size();
vector<int> SA(n), lms_idx;
vector<bool> sl(n);
sl[n - 1] = false;
for (int i = n - 2; i >= 0; --i) {
sl[i] = (vec[i] > vec[i + 1] || (vec[i] == vec[i + 1] && sl[i + 1]));
if (sl[i] && !sl[i + 1]) lms_idx.push_back(i + 1);
}
reverse(lms_idx.begin(), lms_idx.end());
induced_sort(vec, val_range, SA, sl, lms_idx);
vector<int> new_lms_idx(lms_idx.size()), lms_vec(lms_idx.size());
for (int i = 0, k = 0; i < n; ++i)
if (!sl[SA[i]] && SA[i] >= 1 && sl[SA[i] - 1]) {
new_lms_idx[k++] = SA[i];
}
int cur = 0;
SA[n - 1] = cur;
for (size_t k = 1; k < new_lms_idx.size(); ++k) {
int i = new_lms_idx[k - 1], j = new_lms_idx[k];
if (vec[i] != vec[j]) {
SA[j] = ++cur;
continue;
}
bool flag = false;
for (int a = i + 1, b = j + 1;; ++a, ++b) {
if (vec[a] != vec[b]) {
flag = true;
break;
}
if ((!sl[a] && sl[a - 1]) || (!sl[b] && sl[b - 1])) {
flag = !((!sl[a] && sl[a - 1]) && (!sl[b] && sl[b - 1]));
break;
}
}
SA[j] = (flag ? ++cur : cur);
}
for (size_t i = 0; i < lms_idx.size(); ++i)
lms_vec[i] = SA[lms_idx[i]];
if (cur + 1 < (int)lms_idx.size()) {
auto lms_SA = SA_IS(lms_vec, cur + 1);
for (size_t i = 0; i < lms_idx.size(); ++i) {
new_lms_idx[i] = lms_idx[lms_SA[i]];
}
}
induced_sort(vec, val_range, SA, sl, new_lms_idx);
return SA;
}
vector<int> suffix_array(const string &s, const int LIM = 128) {
vector<int> vec(s.size() + 1);
copy(begin(s), end(s), begin(vec));
vec.back() = (char)(1);
auto ret = SA_IS(vec, LIM);
ret.erase(ret.begin());
return ret;
}
struct SuffixArray {
int n;
string s;
vector<int> sa, rank, lcp;
vector<vector<int>> t;
vector<int> lg;
SuffixArray() {}
SuffixArray(string _s) {
n = _s.size();
s = _s;
sa = suffix_array(s);
rank.resize(n);
for (int i = 0; i < n; i++) rank[sa[i]] = i;
costruct_lcp();
prec();
build();
}
void costruct_lcp() {
int k = 0;
lcp.resize(n - 1, 0);
for (int i = 0; i < n; i++) {
if (rank[i] == n - 1) {
k = 0;
continue;
}
int j = sa[rank[i] + 1];
while (i + k < n && j + k < n && s[i + k] == s[j + k]) k++;
lcp[rank[i]] = k;
if (k) k--;
}
}
void prec() {
lg.resize(n, 0);
for (int i = 2; i < n; i++) lg[i] = lg[i / 2] + 1;
}
void build() {
int sz = n - 1;
t.resize(sz);
for (int i = 0; i < sz; i++) {
t[i].resize(LG);
t[i][0] = lcp[i];
}
for (int k = 1; k < LG; ++k) {
for (int i = 0; i + (1 << k) - 1 < sz; ++i) {
t[i][k] = min(t[i][k - 1], t[i + (1 << (k - 1))][k - 1]);
}
}
}
int query(int l, int r) { // minimum of lcp[l], ..., lcp[r]
int k = lg[r - l + 1];
return min(t[l][k], t[r - (1 << k) + 1][k]);
}
int get_lcp(int i, int j) { // lcp of suffix starting from i and j
if (i == j) return n - i;
int l = rank[i], r = rank[j];
if (l > r) swap(l, r);
return query(l, r - 1);
}
int lower_bound(string &t) {
int l = 0, r = n - 1, k = t.size(), ans = n;
while (l <= r) {
int mid = l + r >> 1;
if (s.substr(sa[mid], min(n - sa[mid], k)) >= t) ans = mid, r = mid - 1;
else l = mid + 1;
}
return ans;
}
int upper_bound(string &t) {
int l = 0, r = n - 1, k = t.size(), ans = n;
while (l <= r) {
int mid = l + r >> 1;
if (s.substr(sa[mid], min(n - sa[mid], k)) > t) ans = mid, r = mid - 1;
else l = mid + 1;
}
return ans;
}
// occurrences of s[p, ..., p + len - 1]
pair<int, int> find_occurrence(int p, int len) {
p = rank[p];
pair<int, int> ans = {p, p};
int l = 0, r = p - 1;
while (l <= r) {
int mid = l + r >> 1;
if (query(mid, p - 1) >= len) ans.first = mid, r = mid - 1;
else l = mid + 1;
}
l = p + 1, r = n - 1;
while (l <= r) {
int mid = l + r >> 1;
if (query(p, mid - 1) >= len) ans.second = mid, l = mid + 1;
else r = mid - 1;
}
return ans;
}
};
///
signed main() {
fastIO;
string s; getline(cin, s);
SuffixArray t(s);
EACH(e, t.sa) cout << e + 1 << ' ';
}
|
5fe9eb2e1a60a3579bf83eacc93eeec1
|
{
"intermediate": 0.412272185087204,
"beginner": 0.3439115881919861,
"expert": 0.24381625652313232
}
|
47,332
|
iv trained my model as follow:
# %%
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.utils import to_categorical
import numpy as np
# %%
import pandas as pd
# Load the dataset using pandas
df = pd.read_csv(r"C:\Users\arisa\Desktop\combined_day_fl_1hot_custom_extra_and_indic_no_h.csv")
# %%
# Assuming ‘df’ is your DataFrame and ‘Label’ is the target column
X = df.drop(['y_High_1d', 'y_Low_1d', 'y_Priority_1d',
'y_High_2d', 'y_Low_2d', 'y_Priority_2d',
'y_High_3d', 'y_Low_3d', 'y_Priority_3d',
'y_High_5d', 'y_Low_5d', 'y_Priority_5d'], axis=1).values
Y = df[['y_High_1d', 'y_Low_1d', 'y_Priority_1d']].values
# Y = to_categorical(y) # Convert labels to one-hot encoding
# %%
# Normalizing the features
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)
# %%
# Normalizing the features
scaler_y = StandardScaler()
Y_scaled = scaler_y.fit_transform(Y)
# %%
import joblib
joblib.dump(scaler,'snn_all_1142_x_scaler.sav')
joblib.dump(scaler_y,'snn_all_1142_yhlp1_scaler.sav')
# %%
X_train, X_temp, y_train, y_temp = train_test_split(X_scaled, Y_scaled, train_size = 0.92, random_state = 42)
# We will keep the shuffle = True since our dataset has not any time dependency.
X_dev, X_test, y_dev, y_test = train_test_split(X_temp, y_temp, test_size = 0.5, random_state = 42)
# %%
print(f'train samples: {len(X_train)}\ndev samples: {len(X_dev)}\ntest samples: {len(X_test)}')
# %%
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout,Input
import tensorflow as tf
from tensorflow.keras.layers import BatchNormalization
import keras
from tensorflow.keras import Model
def build_model():
# activation='relu',activity_regularizer=tf.keras.regularizers.L2(0.04)
model = Sequential([
Dense(X.shape[1], input_shape=(X.shape[1],)),
Dropout(0.45),
Dense(2048, activation='relu'),
Dropout(0.35),
Dense(512, activation='relu'),
Dropout(0.1),
Dense(64, activation='relu'),
Dense(32, activation='relu'),
Dense(3) # Output layer
])
# inputs = Input(shape=(X.shape[1],))
# x = Dense(X.shape[1], activation='relu', input_shape=(X.shape[1],)) (inputs)
# x = Dense(2048, activation='relu') (x)
# x = Dense(1024, activation='relu') (x)
# x = Dense(512, activation='relu') (x)
# x = Dense(256, activation='relu') (x)
# x = Dense(128, activation='relu') (x)
# x = Dense(128, activation='relu') (x)
# out_high_1d = Dense(1, name='high_output_1d')(x) # No activation, linear output
# out_low_1d = Dense(1, name='low_output_1d')(x) # No activation, linear output
# out_priority_1d = Dense(1, activation='sigmoid', name='priority_output_1d')(x)
# model = Model(inputs=inputs, outputs=[
# out_high_1d, out_low_1d, out_priority_1d])
# optimizer = keras.optimizers.Adam(learning_rate=0.001)
# model.compile(optimizer=optimizer,
# loss={
# 'high_output_1d': 'mse', 'low_output_1d': 'mse', 'priority_output_1d': 'binary_crossentropy',
# # 'high_output_2d': 'mse', 'low_output_2d': 'mse', 'priority_output_2d': 'binary_crossentropy',
# # 'high_output_3d': 'mse', 'low_output_3d': 'mse', 'priority_output_3d': 'binary_crossentropy',
# # 'high_output_5d': 'mse', 'low_output_5d': 'mse', 'priority_output_5d': 'binary_crossentropy'
# },
# metrics={
# 'high_output_1d': ['mae'], 'low_output_1d': ['mae'], 'priority_output_1d': ['accuracy'],
# # 'high_output_2d': ['mae'], 'low_output_2d': ['mae'], 'priority_output_2d': ['accuracy'],
# # 'high_output_3d': ['mae'], 'low_output_3d': ['mae'], 'priority_output_3d': ['accuracy'],
# # 'high_output_5d': ['mae'], 'low_output_5d': ['mae'], 'priority_output_5d': ['accuracy']
# },
# loss_weights={
# 'high_output_1d': 1.0, 'low_output_1d': 1.0, 'priority_output_1d': 1.0,
# # 'high_output_2d': 1.0, 'low_output_2d': 1.0, 'priority_output_2d': 1.0,
# # 'high_output_3d': 1.0, 'low_output_3d': 1.0, 'priority_output_3d': 1.0,
# # 'high_output_5d': 1.0, 'low_output_5d': 1.0, 'priority_output_5d': 1.0
# }
# )
optimizer = keras.optimizers.Adam(learning_rate=0.00001,clipvalue=0.5)
model.compile(optimizer=optimizer,
loss='mse',
metrics=['mae'])
return model
# %%
model = build_model()
model.summary()
# %%
# Splitting y_train and y_dev into separate arrays for each output
# y_train_high = y_train[:, [0]] # Extracting the high column
# y_train_low = y_train[:, [1]] # Extracting the low column
# y_train_priority = y_train[:, [2]] # Extracting the priority column
# # Do the same for y_dev
# y_dev_high = y_dev[:, [0]]
# y_dev_low = y_dev[:, [1]]
# y_dev_priority = y_dev[:, [2]]
# # Adjusting the fit call to provide a list (or dict) of outputs
# history = model.fit(
# X_train,
# [y_train_high, y_train_low, y_train_priority], # Now a list of targets
# epochs=6000,
# batch_size=2048,
# validation_data=(X_dev, [y_dev_high, y_dev_low, y_dev_priority])
# )
history = model.fit(X_train, y_train, epochs=6000, batch_size=4096,
validation_data=(X_dev, y_dev))
# %%
model.save('snn_1142_hlp1_5m_relu_trainloss12_mae20_valloss27_mae24.h5')
how can i see my model performance on my test set
|
367b4b39e8a46b8a514772f0d178e07a
|
{
"intermediate": 0.3799645006656647,
"beginner": 0.4062522351741791,
"expert": 0.21378327906131744
}
|
47,333
|
Перепиши этот код так, чтобы улучшилась его читаемость #include <bits/stdc++.h>
// tiom4eg's precompiler options
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
// IO settings
#define fastIO ios_base::sync_with_stdio(false); cin.tie(0)
// Quick types
#define ll long long
#define ld long double
//#define ull unsigned long long
#define pii pair <int, int>
#define vi vector <int>
#define mi vector <vector <int>>
// Quick functions
#define endl "\n"
#define F first
#define S second
#define all(a) a.begin(), a.end()
#define sz(a) (int)(a.size())
#define pb push_back
#define mp make_pair
// Quick fors
#define FOR(i, a, b) for (int i = a; i < b; ++i)
#define FORS(i, a, b, c) for (int i = a; i < b; i += c)
#define RFOR(i, a, b) for (int i = a; i >= b; --i)
#define EACH(e, a) for (auto& e : a)
// Pragmas
#ifndef TIOM4EG
#pragma GCC optimize("O3") // let the chaos begin!
#pragma GCC target("avx,tune=native")
#pragma GCC comment(linker, "/stack:200000000")
#endif
// PBDS
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#define pbds tree <int, null_type, less <int>, rb_tree_tag, tree_order_statistics_node_update>
using namespace __gnu_pbds;
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
using namespace std;
mt19937 rng(chrono::duration_cast<chrono::milliseconds>(chrono::system_clock::now().time_since_epoch()).count());
//#define int long long
const int INF = 1e9 + 7, MD = 998244353, MAX = 400007, LG = 20, R = 1 << LG, MOD = 1040015701, MOD2 = 1e9 + 9, B = 256;
const ll INFLL = 1e18 + 7;
vi suf, isuf, lcp;
void build_sufarr(string& s) {
vi cnt(R), c(R), pn(R), cn(R);
int n = s.size();
FOR(i, 0, n) ++cnt[s[i]];
FOR(i, 1, 256) cnt[i] += cnt[i - 1];
FOR(i, 0, n) suf[--cnt[s[i]]] = i;
c[suf[0]] = 0;
int classes = 1;
FOR(i, 1, n) {
if (s[suf[i]] != s[suf[i - 1]]) ++classes;
c[suf[i]] = classes - 1;
}
for (int h = 0; (1 << h) < n; ++h) {
FOR(i, 0, n) {
pn[i] = suf[i] - (1 << h);
if (pn[i] < 0) pn[i] += n;
}
fill(all(cnt), 0);
FOR(i, 0, n) ++cnt[c[pn[i]]];
FOR(i, 1, classes) cnt[i] += cnt[i - 1];
RFOR(i, n - 1, 0) suf[--cnt[c[pn[i]]]] = pn[i];
cn[suf[0]] = 0, classes = 1;
FOR(i, 1, n) {
int mid1 = (suf[i] + (1 << h)) % n, mid2 = (suf[i - 1] + (1 << h)) % n;
if (c[suf[i]] != c[suf[i - 1]] || c[mid1] != c[mid2]) ++classes;
cn[suf[i]] = classes - 1;
}
c.swap(cn);
}
FOR(i, 0, n) isuf[suf[i]] = i;
int curLCP = 0;
FOR(i, 0, n) {
int p = isuf[i];
if (p == n - 1) {
lcp[p] = curLCP = 0;
continue;
}
int q = suf[p + 1];
curLCP--;
if (curLCP < 0) curLCP = 0;
while (i + curLCP < n && q + curLCP < n && s[i + curLCP] == s[q + curLCP]) curLCP++;
lcp[p] = curLCP;
}
}
int Z;
int m[R][LG];
vi t[R];
void build_tree(int v, int l, int r) {
if (l + 1 == r) {
if (suf[l] >= Z) t[v].pb(suf[l] - Z);
}
else {
int m = (l + r) / 2;
build_tree(2 * v, l, m), build_tree(2 * v + 1, m, r);
merge(all(t[2 * v]), all(t[2 * v + 1]), back_inserter(t[v]));
}
}
int get(int v, int l, int r, int ql, int qr, int pl, int pr) {
if (qr <= l || r <= ql) return 0;
if (ql <= l && r <= qr) return lower_bound(all(t[v]), pr) - lower_bound(all(t[v]), pl);
int m = (l + r) / 2;
return get(2 * v, l, m, ql, qr, pl, pr) + get(2 * v + 1, m, r, ql, qr, pl, pr);
}
int get_qr(int p, int x) {
RFOR(log, LG - 1, 0) if (m[p][log] >= x) p += 1 << log;
return p + 1;
}
int get_ql(int p, int x) {
RFOR(log, LG - 1, 0) if (p - (1 << log) >= 0 && m[p - (1 << log)][log] >= x) p -= 1 << log;
return p;
}
signed main() {
fastIO;
string s, t; cin >> s >> t;
string w = s + (char)(1) + t + (char)(0);
Z = sz(s) + 1;
suf.resize(sz(w)), isuf.resize(sz(w)), lcp.resize(sz(w));
build_sufarr(w);
FOR(log, 0, LG) FOR(i, 0, sz(w)) {
if (!log) m[i][log] = lcp[i];
else m[i][log] = min(m[i][log - 1], m[i + (1 << (log - 1))][log - 1]);
}
build_tree(1, 0, sz(w));
int q; cin >> q;
while (q--) {
int l1, r1, l2, r2; cin >> l1 >> r1 >> l2 >> r2, --l1, --l2;
int len = r1 - l1;
if (r2 - (r1 - l1) >= l2) cout << get(1, 0, sz(w), get_ql(isuf[l1], r1 - l1), get_qr(isuf[l1], r1 - l1), l2, r2 - (r1 - l1) + 1) << endl;
else cout << 0 << endl;
}
}
|
e6f6012c61e367d22969456de4466875
|
{
"intermediate": 0.38217833638191223,
"beginner": 0.4057736396789551,
"expert": 0.21204796433448792
}
|
47,334
|
im training a nn model in vscode
when training me memory usage goes up 90% and wont decrease until i restart the kernel after my training ended
how can i perform that(clearing memory after my model training done) without restarting or ending kernel?
|
d4ba5d95b2b6d7f8b502efece3bd6c3a
|
{
"intermediate": 0.22921189665794373,
"beginner": 0.11262822896242142,
"expert": 0.6581599116325378
}
|
47,335
|
i load a nn model by keras
after loading my memory usage goes extremly high
how can i clear memory after my job is done with loaded model
|
c548789a54a025648810f08247310ffc
|
{
"intermediate": 0.45830950140953064,
"beginner": 0.13864153623580933,
"expert": 0.40304896235466003
}
|
47,336
|
Напиши мини-игру на html
|
3fcb9c0cbc47849bef5bd1ee2f611e1a
|
{
"intermediate": 0.27866220474243164,
"beginner": 0.3006921708583832,
"expert": 0.4206455945968628
}
|
47,337
|
streamlit create two pages example
|
e9a40c400b97a21a950b8f59bf1380e9
|
{
"intermediate": 0.32365182042121887,
"beginner": 0.3380308747291565,
"expert": 0.338317334651947
}
|
47,338
|
I have an stm32f03 and how can I perform a single read on a specific channel? (stm32cubeide)
|
ece05564946dedf8fc40e2d51ff0f19a
|
{
"intermediate": 0.46851369738578796,
"beginner": 0.12162310630083084,
"expert": 0.4098632037639618
}
|
47,339
|
Whats the advantage of using a "builder" class in Java rather then just instantiating a new class you're trying to build
|
87475f16e749c2daa5c9139a388bfaba
|
{
"intermediate": 0.5706818103790283,
"beginner": 0.23266270756721497,
"expert": 0.19665543735027313
}
|
47,340
|
Перепиши этот код на java с использованием BigIneger #include <bits/stdc++.h>
// tiom4eg's precompiler options
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
// IO settings
#define fastIO ios_base::sync_with_stdio(false); cin.tie(0)
// Quick types
#define ll long long
#define ld long double
#define ull unsigned long long
#define pii pair <int, int>
#define vi vector <int>
#define mi vector <vector <int>>
// Quick functions
#define endl "\n"
#define F first
#define S second
#define all(a) a.begin(), a.end()
#define sz(a) (int)(a.size())
#define pb push_back
#define mp make_pair
// Quick fors
#define FOR(i, a, b) for (int i = a; i < b; ++i)
#define FORS(i, a, b, c) for (int i = a; i < b; i += c)
#define RFOR(i, a, b) for (int i = a; i >= b; --i)
#define EACH(e, a) for (auto& e : a)
// Pragmas
#ifndef TIOM4EG
#pragma GCC optimize("O3,unroll-loops") // let the chaos begin!
#pragma GCC target("avx,avx2,bmi,bmi2,tune=native")
#pragma GCC comment(linker, "/stack:200000000")
#endif
// PBDS
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#define pbds tree <int, null_type, less <int>, rb_tree_tag, tree_order_statistics_node_update>
using namespace __gnu_pbds;
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
using namespace std;
mt19937 rng(chrono::duration_cast<chrono::milliseconds>(chrono::system_clock::now().time_since_epoch()).count());
//#define int long long
constexpr int INF = 1e9 + 7, MD = 998244353, MAX = 100007, LG = 18, R = 1 << LG, MOD = 1000000009, MOD2 = 1e9 + 9, B = 55;
const ll INFLL = 1e18 + 7;
long long dioph(long long a, long long b, long long &x, long long &y) {
if (!b) {
x = 1, y = 0;
return a;
}
long long d = dioph(b, a % b, x, y);
x -= (a / b) * y;
swap(x, y);
return d;
}
signed main() {
fastIO;
int tc; cin >> tc;
while (tc--) {
long long a, b, x0, y0; cin >> a >> b;
long long g = dioph(a, b, x0, y0);
if (x0 < 0) {
long long c = (abs(x0) + b - 1) / b;
x0 += b, y0 -= a;
}
cout << x0 << ' ' << y0 << ' ' << g << endl;
}
}
|
b2928fe4a72faf92366617c2d065e604
|
{
"intermediate": 0.2846220135688782,
"beginner": 0.44846484065055847,
"expert": 0.26691320538520813
}
|
47,341
|
how do i call bar on Foo properly in Ruby?
|
044848d20be63aa5beb17dd0e2821d35
|
{
"intermediate": 0.6163316965103149,
"beginner": 0.2908749282360077,
"expert": 0.09279342740774155
}
|
47,342
|
Перепиши этот код на питон #include <bits/stdc++.h>
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#pragma GCC optimize("O3")
#pragma GCC target("avx,avx2,tune=native")
#pragma GCC comment(linker, "/stack:200000000")
using namespace __gnu_pbds;
using namespace std;
mt19937 rng(chrono::duration_cast<chrono::milliseconds>(chrono::system_clock::now().time_since_epoch()).count());
constexpr int INF = 1e9 + 7, MD = 998244353, MAX = 10000007, LG = 121, MOD = 1e9 + 7, MOD2 = 1e9 + 9, RB = 158;
const long long INFLL = 1e18 + 7;
int p;
inline int sub(int a, int b) { return (b > a ? a + p - b : a - b); }
signed main() {
ios_base::sync_with_stdio(false); cin.tie(0);
cin >> p;
int inv[p];
inv[0] = 0, inv[1] = 1;
long long sum = 1;
for (int i = 2; i < p; ++i) {
inv[i] = sub(p, inv[p % i] * 1ll * (p / i) % p);
sum += inv[i];
if (i % 100 == 0) {
cout << sum % p << '\n';
sum = 0;
}
}
if ((p - 1) % 100) {
cout << sum % p << '\n';
}
}
|
ee6208591b0112bec135676afffb64c7
|
{
"intermediate": 0.24369391798973083,
"beginner": 0.5561903715133667,
"expert": 0.20011566579341888
}
|
47,343
|
Write me a script for a Blogger blog to write and publish articles automatically in a professional manner
|
5f178553e5fd52a8c97657c70e90dc1a
|
{
"intermediate": 0.37306588888168335,
"beginner": 0.20724007487297058,
"expert": 0.41969403624534607
}
|
47,344
|
перепиши этот код на питон #include <bits/stdc++.h>
// tiom4eg's precompiler options
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
// IO settings
#define fastIO ios_base::sync_with_stdio(false); cin.tie(0)
// Quick types
#define ll long long
#define ld long double
#define ull unsigned long long
#define pii pair <int, int>
#define vi vector <int>
#define mi vector <vector <int>>
// Quick functions
#define endl "\n"
#define F first
#define S second
#define all(a) a.begin(), a.end()
#define sz(a) (int)(a.size())
#define pb push_back
#define mp make_pair
// Quick fors
#define FOR(i, a, b) for (int i = a; i < b; ++i)
#define FORS(i, a, b, c) for (int i = a; i < b; i += c)
#define RFOR(i, a, b) for (int i = a; i >= b; --i)
#define EACH(e, a) for (auto& e : a)
// Pragmas
#ifndef TIOM4EG
#pragma GCC optimize("O3,unroll-loops") // let the chaos begin!
#pragma GCC target("avx,avx2,bmi,bmi2,tune=native")
#pragma GCC comment(linker, "/stack:200000000")
#endif
// PBDS
#include <ext/pb_ds/assoc_container.hpp>
#include <ext/pb_ds/tree_policy.hpp>
#define pbds tree <int, null_type, less <int>, rb_tree_tag, tree_order_statistics_node_update>
using namespace __gnu_pbds;
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
using namespace std;
mt19937 rng(chrono::duration_cast<chrono::milliseconds>(chrono::system_clock::now().time_since_epoch()).count());
//#define int long long
constexpr int INF = 1e9 + 7, MD = 998244353, MAX = 300007, LG = 18, R = 1 << LG, MOD = 1000000007, MOD2 = 1e9 + 9, B = 55;
const ll INFLL = 1e18 + 7;
int bpow(int x, int e, int p) {
int c = x, r = 1;
for (; e; c = c * 1LL * c % p, e >>= 1) if (e & 1) r = r * 1LL * c % p;
return r;
}
signed main() {
fastIO;
int p; cin >> p;
vi ds;
int phi = p - 1, n = phi;
for (int d = 2; d * d <= n; ++d) while (n % d == 0) ds.pb(d), n /= d;
if (n > 1) ds.pb(n);
for (int i = 1; i <= p; ++i) {
int f = 1;
EACH(d, ds) f &= (bpow(i, phi / d, p) != 1);
if (f) return !(cout << i);
}
cout << -1;
}
|
7d1a794a640ab98eba1ce1de880d3ae2
|
{
"intermediate": 0.3768387734889984,
"beginner": 0.39821672439575195,
"expert": 0.22494453191757202
}
|
47,345
|
Hello
|
de597bd1cba36f92c447f1aeed00c398
|
{
"intermediate": 0.3123404085636139,
"beginner": 0.2729349136352539,
"expert": 0.4147246778011322
}
|
47,346
|
why bitcon decentralized?
|
3076d311e286c532111f55ddbc26167a
|
{
"intermediate": 0.3842872679233551,
"beginner": 0.2066771239042282,
"expert": 0.4090355932712555
}
|
47,347
|
@Data
@Configuration
public class JFXConfig {
@Value("${spring.fx.fxml-scan:/**/*.fxml}")
private String fxmlScan;
@Value("${spring.fx.css-scan:/**/*.css}")
private String cssScan;
}
@Slf4j
@Component
public class JFXPostProcessor implements BeanDefinitionRegistryPostProcessor {
@jakarta.annotation.Resource
private ResourcePatternResolver resourcePatternResolver;
@jakarta.annotation.Resource
private JFXConfig jfxConfig;
@Override
@SneakyThrows
public void postProcessBeanDefinitionRegistry(@NonNull BeanDefinitionRegistry registry) throws BeansException {
log.info("自动解析装配fxml相关bean定义, 取fxml文件名作为bean name");
for (Resource resource : resourcePatternResolver.getResources(jfxConfig.getFxmlScan())) {
GenericBeanDefinition beanDefinition = new GenericBeanDefinition();
beanDefinition.setScope(BeanDefinition.SCOPE_PROTOTYPE);
beanDefinition.setBeanClass(Parent.class);
beanDefinition.setInstanceSupplier(() -> {
try {
return FXMLLoader.load(resource.getURL());
} catch (IOException e) {
throw new RuntimeException(e);
}
});
IllegalArgumentException exception = new IllegalArgumentException("无法解析fx:controller属性，请检查" + resource.getURL().getPath() + "文件");
String line = FileUtil.readUtf8Lines(resource.getURL()).stream().filter(fileLine -> fileLine.contains("fx:controller")).findFirst().orElseThrow(() -> exception);
Matcher matcher = Pattern.compile("fx:controller=\"(.*?)\"").matcher(line);
if (matcher.find()) {
String fullClassName = matcher.group(1);
String[] fullClassPath = fullClassName.split("\\.");
String beanName = StringUtils.uncapitalize(fullClassPath[fullClassPath.length - 1]);
registry.registerBeanDefinition(beanName, beanDefinition);
} else {
throw exception;
}
}
}
}
提示jfxConfig为null
|
4238471c6b104eed94a8d71e8122c50a
|
{
"intermediate": 0.33511313796043396,
"beginner": 0.4841963052749634,
"expert": 0.18069061636924744
}
|
47,348
|
c# can we somehow check how long it took for udp packet to be sent to server, like ping but only one direction
|
65fd2fede84e9637a98795237ec50e12
|
{
"intermediate": 0.6009598970413208,
"beginner": 0.16090106964111328,
"expert": 0.2381390929222107
}
|
47,349
|
When we run a test for this code: import torch
import torch.nn as nn
import torch.nn.functional as F
import math
class GroupedQueryAttention(nn.Module):
def __init__(self, num_heads, hidden_size, group_size):
super(GroupedQueryAttention, self).__init__()
self.num_heads = num_heads
self.hidden_size = hidden_size
self.group_size = group_size
self.query_linear = nn.Linear(hidden_size, hidden_size)
self.key_linear = nn.Linear(hidden_size, hidden_size)
self.value_linear = nn.Linear(hidden_size, hidden_size)
def forward(self, query, key, value, attention_mask):
print("Query shape:", query.shape)
print("Key shape:", key.shape)
print("Value shape:", value.shape)
print("Attention mask shape:", attention_mask.shape)
batch_size = 1
seq_len = query.shape[1]
hidden_size = self.hidden_size
print("Batch size:", batch_size)
print("Sequence length:", seq_len)
print("Hidden size:", hidden_size)
# Add hidden size dimension to query, key, and value
query = query.unsqueeze(-1).expand(-1, -1, hidden_size)
key = key.unsqueeze(-1).expand(-1, -1, hidden_size)
value = value.unsqueeze(-1).expand(-1, -1, hidden_size)
print("Query shape after adding hidden size dimension:", query.shape)
print("Key shape after adding hidden size dimension:", key.shape)
print("Value shape after adding hidden size dimension:", value.shape)
# Reshape query, key, and value to group them
query = query.view(batch_size, seq_len // self.group_size, self.group_size, hidden_size)
key = key.view(batch_size, seq_len // self.group_size, self.group_size, hidden_size)
value = value.view(batch_size, seq_len // self.group_size, self.group_size, hidden_size)
print("Query shape after reshaping:", query.shape)
print("Key shape after reshaping:", key.shape)
print("Value shape after reshaping:", value.shape)
# Compute attention scores
attention_scores = torch.matmul(query, key.transpose(-1, -2)) / math.sqrt(hidden_size)
attention_scores = attention_scores + attention_mask.unsqueeze(1).unsqueeze(1)
print("Attention scores shape:", attention_scores.shape)
# Compute attention weights
attention_weights = F.softmax(attention_scores, dim=-1)
print("Attention weights shape:", attention_weights.shape)
# Compute output
output = torch.matmul(attention_weights, value)
output = output.view(batch_size, seq_len, hidden_size)
print("Output shape:", output.shape)
return output
class SlidingWindowAttention(nn.Module):
def __init__(self, num_heads, hidden_size, window_size):
super(SlidingWindowAttention, self).__init__()
self.num_heads = num_heads
self.hidden_size = hidden_size
self.window_size = window_size
self.query_linear = nn.Linear(hidden_size, hidden_size)
self.key_linear = nn.Linear(hidden_size, hidden_size)
self.value_linear = nn.Linear(hidden_size, hidden_size)
def forward(self, query, key, value, attention_mask):
batch_size, seq_len, hidden_size = query.shape
window_size = self.window_size
# Add extra dimension to key tensor
key = key.unsqueeze(-1).expand(-1, -1, hidden_size)
# Reshape query and key tensors
query = query.view(-1, hidden_size)
key = key.view(-1, hidden_size)
# Compute attention scores
attention_scores = torch.zeros(batch_size, seq_len, seq_len)
for i in range(seq_len):
start = max(0, i - window_size)
end = min(seq_len, i + window_size + 1)
query_unsqueezed = query.unsqueeze(-1) # Add extra dimension to query tensor
attention_scores[:, i, start:end] = torch.matmul(query_unsqueezed[:, i:i+1], key[:, start:end].transpose(-1, -2)) / math.sqrt(hidden_size)
attention_scores = attention_scores + attention_mask.unsqueeze(1)
# Compute attention weights
attention_weights = F.softmax(attention_scores, dim=-1)
# Compute output
output = torch.matmul(attention_weights, value)
return output
class DecoderTransformer(nn.Module):
def __init__(self, num_layers, num_heads, hidden_size, group_size, window_size):
super(DecoderTransformer, self).__init__()
self.num_layers = num_layers
self.num_heads = num_heads
self.hidden_size = hidden_size
self.group_size = group_size
self.window_size = window_size
self.layers = nn.ModuleList([DecoderTransformerLayer(num_heads, hidden_size, group_size, window_size) for _ in range(num_layers)])
def forward(self, input_ids, attention_mask):
output = input_ids
for layer in self.layers:
output = layer(output, attention_mask)
return output
class DecoderTransformerLayer(nn.Module):
def __init__(self, num_heads, hidden_size, group_size, window_size):
super(DecoderTransformerLayer, self).__init__()
self.num_heads = num_heads
self.hidden_size = hidden_size
self.group_size = group_size
self.window_size = window_size
self.self_attn = GroupedQueryAttention(num_heads, hidden_size, group_size)
self.encoder_attn = SlidingWindowAttention(num_heads, hidden_size, window_size)
self.feed_forward = nn.Linear(hidden_size, hidden_size)
def forward(self, input_ids, attention_mask):
output = self.self_attn(input_ids, input_ids, input_ids, attention_mask)
output = output + input_ids.unsqueeze(-1).expand(-1, -1, 512) # Add this line
output = self.encoder_attn(output, input_ids, input_ids, attention_mask)
output = output + input_ids.unsqueeze(-1).expand(-1, -1, 512) # Add this line
output = self.feed_forward(output)
output = output + input_ids.unsqueeze(-1).expand(-1, -1, 512) # Add this line
return output we get this: Query shape: torch.Size([1, 16])
Key shape: torch.Size([1, 16])
Value shape: torch.Size([1, 16])
Attention mask shape: torch.Size([1, 16])
Batch size: 1
Sequence length: 16
Hidden size: 512
Query shape after adding hidden size dimension: torch.Size([1, 16, 512])
Key shape after adding hidden size dimension: torch.Size([1, 16, 512])
Value shape after adding hidden size dimension: torch.Size([1, 16, 512])
Query shape after reshaping: torch.Size([1, 1, 16, 512])
Key shape after reshaping: torch.Size([1, 1, 16, 512])
Value shape after reshaping: torch.Size([1, 1, 16, 512])
Attention scores shape: torch.Size([1, 1, 16, 16])
Attention weights shape: torch.Size([1, 1, 16, 16])
Output shape: torch.Size([1, 16, 512])
Traceback (most recent call last):
File "c:\Users\L14\Documents\Projets\Best-Transformer\Testing.py", line 24, in <module>
output = model(input_ids, attention_mask)
File "C:\Users\L14\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\L14\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "c:\Users\L14\Documents\Projets\Best-Transformer\Main.py", line 120, in forward
output = layer(output, attention_mask)
File "C:\Users\L14\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\L14\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "c:\Users\L14\Documents\Projets\Best-Transformer\Main.py", line 138, in forward
output = self.encoder_attn(output, input_ids, input_ids, attention_mask)
File "C:\Users\L14\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\L14\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "c:\Users\L14\Documents\Projets\Best-Transformer\Main.py", line 96, in forward
attention_scores[:, i, start:end] = torch.matmul(query_unsqueezed[:, i:i+1], key[:, start:end].transpose(-1, -2)) / math.sqrt(hidden_size)
RuntimeError: Expected size for first two dimensions of batch2 tensor to be: [16, 1] but got: [16, 16].
|
d6b171bed69b90d270af000c9060e4d0
|
{
"intermediate": 0.29217976331710815,
"beginner": 0.5153723359107971,
"expert": 0.19244787096977234
}
|
47,350
|
import pyautogui
def apply_job(i):
try:
mm=3
time.sleep(5)
# Wait for the "Apply" button to be clickable in the new tab
apply_button_xpath = '//*[@id="mainContent"]/div/div[2]/div/div/section/div/div[1]/div[3]/div/div/div[2]/div/div/div/a'
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, apply_button_xpath)))
# Find the "Apply" button element and click on it
apply_button = driver.find_element(By.XPATH, apply_button_xpath)
#print(apply_button.is_enabled())
apply_button.click()
time.sleep(5)
# if 'viewApplication' in driver.current_url:
# return
# Wait for the "Use My Last Application" tab to be clickable
use_last_app_tab_xpath = '/html/body/div[2]/div/div/div/div[2]/div/div/div[1]/div[6]/div/div/a'
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, use_last_app_tab_xpath)))
# Find the "Use My Last Application" tab and click on it
use_last_app_tab = driver.find_element(By.XPATH, use_last_app_tab_xpath)
use_last_app_tab.click()
time.sleep(5)
if True:
# Wait for the "Sign In" prompt to appear
sign_in_form_xpath = '//*[@id="wd-Authentication-NO_METADATA_ID-uid6"]/div/div[1]/div/form'
WebDriverWait(driver, 15).until(EC.visibility_of_element_located((By.XPATH, sign_in_form_xpath)))
# Find the email and password input fields and enter your credentials
email_input_xpath = '//*[@id="input-4"]'
password_input_xpath = '//*[@id="input-5"]'
email = "rahulkotian26@gmail.com"
password = "!-WbNZwHPncL5ZG"
email_input = driver.find_element(By.XPATH, email_input_xpath)
password_input = driver.find_element(By.XPATH, password_input_xpath)
email_input.send_keys(email)
password_input.send_keys(password)
# Find the "Sign In" button and wait for it to become clickable before clicking
sign_in_button_xpath = '//*[@id="wd-Authentication-NO_METADATA_ID-uid6"]/div/div[1]/div/form/div[3]/div/div/div/div/div'
sign_in_button = WebDriverWait(driver, 15).until(EC.element_to_be_clickable((By.XPATH, sign_in_button_xpath)))
# Scroll into view to ensure the element is clickable
driver.execute_script("arguments[0].scrollIntoView();", sign_in_button)
# Use the Actions class to simulate a click on the "Sign In" button
actions = ActionChains(driver)
actions.move_to_element(sign_in_button).click().perform()
time.sleep(5)
actions = ActionChains(driver)
# Wait for the "How Did You Hear About Us?" field to be present
how_hear_about_us_xpath = '//*[@id="input-1"]'
WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.XPATH, how_hear_about_us_xpath)))
time.sleep(2)
# Find the "How Did You Hear About Us?" field and enter "Career" using ActionChains
how_hear_about_us_input = driver.find_element(By.XPATH, how_hear_about_us_xpath)
time.sleep(2)
# Enter "Career"
actions.move_to_element(how_hear_about_us_input).click().send_keys("Career Site").perform()
time.sleep(2)
#ENTER KEY
actions.move_to_element(how_hear_about_us_input).click().send_keys(Keys.ENTER).perform()
time.sleep(5)
# Find the "SAVE AND CONTINUE" button by class name and click on it
save_and_continue_button_class = 'css-d4ya5t'
save_and_continue_button = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.CLASS_NAME, save_and_continue_button_class)))
# Scroll into view to ensure the element is clickable
driver.execute_script("arguments[0].scrollIntoView();", save_and_continue_button)
# Click the "SAVE AND CONTINUE" button
save_and_continue_button.click()
time.sleep(2)
# Function to check if the confirmation message appears
def is_upload_successful(driver):
try:
# Wait for the confirmation message to appear
confirmation_message = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.XPATH, "//div[contains(text(), 'Successfully Uploaded!')]")))
return True
except Exception as e:
print("Exception in is_upload_successful:", e)
return False
# Function to check if the resume has been uploaded
def is_resume_uploaded(driver):
try:
# Find the element that contains the uploaded resume by its data-automation-id
uploaded_resume = driver.find_element(By.CSS_SELECTOR, '[data-automation-id="file-upload-item"]')
# If the element is found, return True (resume is uploaded)
return True
except Exception as e:
print("Exception in is_resume_uploaded:", e)
# If the element is not found, return False (resume is not uploaded)
return False
# Define maximum number of attempts
max_attempts = 3
current_attempt = 0
success = False
# Define typing interval
typing_interval = 0.1
typing_interval1 = 0.0001
# Define pause time between actions
pause_time = 2
while current_attempt < max_attempts and not success:
try:
# Check if the element with data-automation-id="formField-jobTitle" exists
job_title_field_exists = False
try:
job_title_field = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.CSS_SELECTOR, '[data-automation-id="formField-jobTitle"]')))
job_title_field_exists = True
except:
pass
if not job_title_field_exists:
# Proceed with work experience part
work_exp_button = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.CSS_SELECTOR, '#mainContent > div > div.css-12izqjd > div:nth-child(3) > div:nth-child(1) > div > div > div > button')))
work_exp_button_exists = True
# Work Experience
work_exp_button.click()
time.sleep(pause_time)
time.sleep(pause_time)
# Type job details
job_details = [
(" Data Analyst", '\t'),
("Dynamic Sustainability Lab", '\t'),
("Syracuse, NY", '\t'),
("a", '\t'),
("072022", '\t'),
("a", '\t'),
("052023", '\t'),
("a", '\t')
]
for detail, key in job_details:
pyautogui.typewrite(detail, interval=typing_interval)
time.sleep(pause_time)
pyautogui.press(key)
time.sleep(pause_time)
# Type job descriptions
job_descriptions = [
"Executed in-depth analysis of over 150 energy measurement points for a $2.11 billion enterprise, leveraging Power BI, Report Designer BI, and EnergyCAP, which unveiled the potential for a 5% efficiency enhancement in energy resource utilization.",
"Initiated the creation of an advanced Power BI dashboard, amalgamating diverse data sources, performing Data Mining and Data Wrangling, designing custom visualizations, and consistently updating senior leadership.",
"Orchestrated the roll-out of an innovative energy resource tracking system using Power BI and SQL Server Analysis Services (SSAS), targeting an anticipated 15% reduction in energy usage.",
"Articulated data-driven models, findings, and insights to senior management, influencing informed decision-making during the transition to a Carbon NetZero economy. The data dictionary was instrumental in communicating complex data concepts."
]
for description in job_descriptions:
pyautogui.typewrite(description, interval=typing_interval1)
pyautogui.press('Enter')
#time.sleep(0.1) # Adjust as needed
time.sleep(pause_time)
pyautogui.press('tab')
pyautogui.press('tab')
# Education 1
education_button_element = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CSS_SELECTOR, '#mainContent > div > div.css-12izqjd > div:nth-child(3) > div:nth-child(3) > div > div > div > button')))
education_button_element.click()
time.sleep(2 * pause_time) # Longer pause after clicking the education button
# Type education details
education_details = [
"Syracuse University School Of Information Studies", '\t', 'M', '\t', 'Information systems', '\n', '\n', '\t', '\t', '3.67', '\t', '2021', '\t', '2023', '\t'
]
for education_detail in education_details:
pyautogui.write(education_detail, interval=typing_interval) # Use write for all elements
time.sleep(2 * pause_time) # Longer pause after typing each detail
# Education 2
education_button_element = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CSS_SELECTOR, '#mainContent > div > div.css-12izqjd > div:nth-child(3) > div:nth-child(3) > div > div > div > button')))
education_button_element.click()
time.sleep(2 * pause_time) # Longer pause after clicking the education button
# Type education details
education_details = [
"Mumbai University", '\t', 'B', '\t', 'Computer Engineering', '\n', '\n', '\t', '\t', '3.3', '\t', '2016', '\t', '2020', '\t', '\t', '\t'
]
for education_detail in education_details:
pyautogui.write(education_detail, interval=typing_interval) # Use write for all elements
time.sleep(2 * pause_time) # Longer pause after typing each detail
# ... Your work experience code goes here ...
pass
else:
# Skip to check resume
# Resume Upload
if not is_resume_uploaded(driver):
# Wait for the "SELECT FILE" button to be clickable
select_file_button_css_selector = '#mainContent > div > div.css-12izqjd > div:nth-child(3) > div:nth-child(7) > div > div > div:nth-child(1) > div'
# Find the "SELECT FILE" button and click on it
select_file_button = driver.find_element(By.CSS_SELECTOR, select_file_button_css_selector)
select_file_button.click()
time.sleep(1)
# Specify the path to your PDF file
pdf_file_path = 'Rahul_Kotian_Resume.pdf'
# Use pyautogui to type the file path and press Enter
pyautogui.write(pdf_file_path)
pyautogui.press('Enter')
time.sleep(1)
# Check if the upload was successful
if is_upload_successful(driver):
# Set success to True to break the loop
success = True
except Exception as e:
print(f"Attempt {current_attempt + 1} failed:", e)
current_attempt += 1
# Wait for a brief moment before retrying
time.sleep(2)
# If successful, find and click the "SAVE AND CONTINUE" button
if success:
try:
save_and_continue_button = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.CLASS_NAME, 'css-d4ya5t')))
driver.execute_script("arguments[0].scrollIntoView();", save_and_continue_button)
save_and_continue_button.click()
except Exception as e:
print("Error while saving and continuing:", e)
else:
print("Max attempts reached. Skipping the action.")
time.sleep(5)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('Y')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('o')
time.sleep(mm)
pyautogui.press('o')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('Y')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.typewrite("18", interval=0.4)
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('H')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('Y')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('N')
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('N')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('N')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key again
pyautogui.press('N')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
time.sleep(mm)
# Press the Tab key again
pyautogui.press('N')
# Add a short delay between the Tab presses (adjust as needed)
time.sleep(mm)
# Find the "SAVE AND CONTINUE" button by class name and click on it
save_and_continue_button_class = 'css-d4ya5t'
save_and_continue_button = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.CLASS_NAME, save_and_continue_button_class)))
# Scroll into view to ensure the element is clickable
driver.execute_script("arguments[0].scrollIntoView();", save_and_continue_button)
# Click the "SAVE AND CONTINUE" button
save_and_continue_button.click()
time.sleep(5)
pyautogui.press('tab')
time.sleep(mm)
pyautogui.press('tab')
time.sleep(mm)
pyautogui.press('tab')
time.sleep(mm)
# Press the Tab key
pyautogui.press('tab')
time.sleep(mm)
pyautogui.press('tab')
time.sleep(mm)
# Press the Tab key again
pyautogui.press('Space')
time.sleep(mm)
# Find the "SAVE AND CONTINUE" button by class name and click on it
save_and_continue_button_class = 'css-d4ya5t'
save_and_continue_button = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.CLASS_NAME, save_and_continue_button_class)))
# Scroll into view to ensure the element is clickable
driver.execute_script("arguments[0].scrollIntoView();", save_and_continue_button)
# Click the "SAVE AND CONTINUE" button
save_and_continue_button.click()
time.sleep(5)
#ENTER KEY
#actions.move_to_element(NAME_input).click().send_keys(Keys.ENTER).perform()
time.sleep(mm)
# Find the "SAVE AND CONT" button by class name and click on it
save_and_continue_button_class = 'css-d4ya5t'
save_and_continue_button = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.CLASS_NAME, save_and_continue_button_class)))
# Scroll into view to ensure the element is clickable
# driver.execute_script("arguments[0].scrollIntoView();", save_and_continue_button)
# Click the "SAVE AND CONTINUE" button
save_and_continue_button.click()
time.sleep(5)
# Find the "SUBMIT" button by class name and click on it
save_and_continue_button_class = 'WDKN WEWO WC3N WKLN WHKN'
save_and_continue_button = WebDriverWait(driver, 15).until(EC.presence_of_element_located((By.CLASS_NAME, save_and_continue_button_class)))
# Scroll into view to ensure the element is clickable
driver.execute_script("arguments[0].scrollIntoView();", save_and_continue_button)
# Click the "SAVE AND CONTINUE" button
save_and_continue_button.click()
finally:
# Close the browser tab
# driver.close()
print("Successfully applied to the job")
return
import os
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
import time
import pyautogui
# URL of the webpage you want to open
url = "https://walmart.wd5.myworkdayjobs.com/en-US/WalmartExternal?locationCountry=bc33aa3152ec42d4995f4791a106ed09&jobFamilyGroup=e83ebdbd2a0a01e7e1477a8948e904c6&jobFamilyGroup=e83ebdbd2a0a01af0185848948e94dc6"
# Path to the ChromeDriver executable
chromedriver_path = "Desktop/DESK/myworkdayjobs-master/chromedriver_mac64/chromedriver" # Removed .exe for Mac compatibility
# Set up ChromeOptions and specify the executable path
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(f"executable_path={chromedriver_path}")
# Create a Chrome WebDriver instance with the specified options
driver = webdriver.Chrome(options=chrome_options)
# Open the webpage
# driver.get(url)
time.sleep(5)
first_list_xpath = '/html/body/div[1]/div/div/div[3]/div/div/div[2]/section/div[2]/nav/div/button'
next_list_xpath = '/html/body/div[1]/div/div/div[3]/div/div/div[2]/section/div[2]/nav/div/button[2]'
m=0
j = m%20
for i in range(m,9999):
# Set up ChromeOptions and specify the executable path
if j ==20 :
j = 0
if j != 20:
j = j + 1
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(f"executable_path={chromedriver_path}")
# Create a Chrome WebDriver instance with the specified options
driver = webdriver.Chrome(options=chrome_options)
driver.get(url)
if True:
if i >=20:
first_list_xpath = '/html/body/div[1]/div/div/div[3]/div/div/div[2]/section/div[2]/nav/div/button'
time.sleep(2)
# Wait for the first job to be clickable
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, first_list_xpath)))
# Find the first job element and click on it
first_job = driver.find_element(By.XPATH, first_list_xpath)
first_job.click()
time.sleep(2)
if i>=40:
for i in range(1,int(i/20)):
first_job_xpath = '/html/body/div[1]/div/div/div[3]/div/div/div[2]/section/div[2]/nav/div/button[2]'
time.sleep(2)
# Wait for the first job to be clickable
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, first_job_xpath)))
# Find the first job element and click on it
first_job = driver.find_element(By.XPATH, first_job_xpath)
first_job.click()
time.sleep(2)
print(i,j)
time.sleep(5)
try:
first_job_xpath = "/html/body/div[1]/div/div/div[3]/div/div/div[2]/section/ul/li["+str(j)+"]/div[1]/div/div/h3/a" #city ka path change karna cloudera ke saath
# Wait for the first job to be clickable
WebDriverWait(driver, 15).until(EC.element_to_be_clickable((By.XPATH, first_job_xpath)))
# Find the first job element and click on it
first_job = driver.find_element(By.XPATH, first_job_xpath)
first_job.click()
except Exception as e:
continue
finally:
print("Clicking on job was successful")
time.sleep(5)
print(driver.current_url)
#IDHAR APPLY_JOBS(i) PASS KARNE HAI
apply_job(i)
print(i)
driver.quit()
|
d799192899c4826fef0879870066bc44
|
{
"intermediate": 0.285658597946167,
"beginner": 0.45705583691596985,
"expert": 0.257285475730896
}
|
47,351
|
i am using laravel 10, i am on a StorageRecordRequest, i want validate this input: 'create_date' => 'required|' with this formart 19/4/2024
|
1ce02fc8f6c2d6ac33f4b645eaadfbb9
|
{
"intermediate": 0.7095730304718018,
"beginner": 0.1426772177219391,
"expert": 0.14774981141090393
}
|
47,352
|
كخبير ي مجال البرمجة اريد تقوم بتطوير هذ الموقع و تستخدم كذلك react js حت يكون هناك تفاعلية في الموقع <!DOCTYPE html>
<html>
<head>
<title>تقليص الروابط</title>
<link rel="icon" type="image/png" href="favicon.png">
<meta charset="UTF-8">
<meta name="description" content="تقليص الروابط بسهولة وبسرعة.">
<meta name="keywords" content="تقليص, الروابط, إختصار, URL">
<meta name="author" content="مخلوف عبد العزيز">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link href="https://fonts.googleapis.com/css2?family=Tajawal:wght@400;700&display=swap" rel="stylesheet">
<style>
body {
font-family: 'Tajawal', sans-serif;
margin: 0;
padding: 0;
background-color: #f2f2f2;
}
.logo img {
width: 50px;
height: 50px;
background-image: url(logo.png);
background-repeat: no-repeat;
background-size: contain;
background-color: rgba(255, 255, 255, 0.8);
border-radius: 50%;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.2);
display: flex;
align-items: center;
justify-content: center;
}
nav {
background-color: #4B0082;
height: 60px;
display: flex;
align-items: center;
justify-content: space-between;
padding: 0 20px;
}
nav a {
color: white;
text-decoration: none;
font-size: 15px;
font-weight: bold;
letter-spacing: 1px;
}
.container {
max-width: 1500px;
margin: 0 auto;
padding: 50px 20px;
text-align: center;
}
h1 {
font-size: 50px;
margin-bottom: 30px;
color: #333333;
font-weight: bold;
letter-spacing: 1px;
background: linear-gradient(to right, #4B0082, #9400D3, #FFFF00);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
animation: gradient 5s ease-in-out infinite alternate;
}
@keyframes gradient {
from {
background-position: left top;
}
to {
background-position: right bottom;
}
}
h1 {
font-size: 50px;
margin-bottom: 30px;
color: #333333;
font-weight: bold;
letter-spacing: 1px;
}
form {
display: flex;
justify-content: center;
align-items: center;
margin-top: 30px;
}
input[type="text"] {
padding: 10px 15px;
width: 60%;
margin-right: 10px;
font-size: 18px;
border-radius: 5px;
border: solid 2px #4B0082;
font-family: 'Tajawal', sans-serif;
}
input[type="text"]:focus {
outline: none;
border: solid 2px #9400D3;
box-shadow: 0px 0px 5px #9400D3;
}
button {
background-color: #9400D3;
color: white;
border: none;
padding: 10px 20px;
font-size: 18px;
cursor: pointer;
border-radius: 5px;
transition: background-color 0.3s ease-in-out;
font-family: 'Tajawal', sans-serif;
border: solid 2px #9400D3;
}
button:hover {
background-color: #4B0082;
}
button:focus {
outline: none;
box-shadow: 0px 0px 5px #9400D3;
}
#result {
margin-top: 50px;
}
hr {
margin-top: 20px;
}
p {
font-size: 24px;
margin-bottom: 10px;
font-weight: bold;
letter-spacing: 1px;
}
#shortened-url {
width:-moz-fit-content;
width:80%;
padding: 10px 15px;
margin-right:10px;
font-size: 18px;
border-radius: 5px;
border: solid 2px #4B0082;
font-family: 'Tajawal', sans-serif;
}
#shortened-url:focus {
outline: none;
border: solid 2px #9400D3;
box-shadow: 0px 0px 5px #9400D3;
}
.footer {
background-color: #333333;
color: white;
text-align: center;
padding: 20px;
position: absolute;
bottom: 0;
width: 100%;
}
</style>
</head>
<body>
<nav>
<div class="logo">
<a href="https://t-3alamtech.blogspot.com/"><span class="sr-only"><img src='logo.png' ></span></a>
</div>
<div>
<a href="https://t-3alamtech.blogspot.com/p/blog-page.html">من نحن</a>
<a href="zizouvitchtech@gmail.com">اتصل بنا</a>
</div>
</nav>
<div class="container">
<h1>تقليص الروابط</h1>
<form>
<input type="text" name="url" placeholder="ضع الرابط هنا">
<button type="submit" onclick="event.preventDefault(); shortenUrl()">تقليص</button>
</form>
<div id="result" style="display: none;">
<hr>
<p>الرابط المختصر:</p>
<div style="display: flex;">
<input type="text" id="shortened-url" readonly style="flex-grow: 1;">
<button onclick="copyUrl()">نسخ</button>
</div>
<p id="copy-successful" style="display: none;">تم نسخ الرابط</p>
</div>
</div>
<div class="footer">
<a href="#">أسئلة شائعة</a>
<a href="#">Privacy Policy</a>
<span> (Tech جميع الحقوق محفوظة © (تعلم </a>
</div>
<script>
function shortenUrl() {
const urlInput = document.querySelector('input[type="text"]');
const shortenedUrlInput = document.getElementById('shortened-url');
const resultDiv = document.getElementById('result');
const copySuccessfulMsg = document.getElementById('copy-successful');
fetch(`https://tinyurl.com/api-create.php?url=${encodeURIComponent(urlInput.value)}`)
.then(response => response.text())
.then(data => {
shortenedUrlInput.value = data;
resultDiv.style.display = 'block';
copySuccessfulMsg.style.display = 'none';
})
.catch(() => {
alert("لا يوجد اتصال بالإنترنت");
});
}
function copyUrl() {
const shortenedUrlInput = document.getElementById('shortened-url');
shortenedUrlInput.select();
document.execCommand('copy');
const copySuccessfulMsg = document.getElementById('copy-successful');
copySuccessfulMsg.style.display = 'block';
}
</script>
</body>
</html>
|
a8fe62cb07c3c2c3cb56f87c4072dcd1
|
{
"intermediate": 0.3214830458164215,
"beginner": 0.504814863204956,
"expert": 0.17370210587978363
}
|
47,353
|
act as a expert programmer and analyze this code , develop the website to look better and more professional , and don't miss to suggest ideas to make it creative and effective <!DOCTYPE html>
<html>
<head>
<title>تقليص الروابط</title>
<link rel="icon" type="image/png" href="favicon.png">
<meta charset="UTF-8">
<meta name="description" content="تقليص الروابط بسهولة وبسرعة.">
<meta name="keywords" content="تقليص, الروابط, إختصار, URL">
<meta name="author" content="مخلوف عبد العزيز">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link href="https://fonts.googleapis.com/css2?family=Tajawal:wght@400;700&display=swap" rel="stylesheet">
<style>
body {
font-family: 'Tajawal', sans-serif;
margin: 0;
padding: 0;
background-color: #f2f2f2;
}
.logo img {
width: 50px;
height: 50px;
background-image: url(logo.png);
background-repeat: no-repeat;
background-size: contain;
background-color: rgba(255, 255, 255, 0.8);
border-radius: 50%;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.2);
display: flex;
align-items: center;
justify-content: center;
}
nav {
background-color: #4B0082;
height: 60px;
display: flex;
align-items: center;
justify-content: space-between;
padding: 0 20px;
}
nav a {
color: white;
text-decoration: none;
font-size: 15px;
font-weight: bold;
letter-spacing: 1px;
}
.container {
max-width: 1500px;
margin: 0 auto;
padding: 50px 20px;
text-align: center;
}
h1 {
font-size: 50px;
margin-bottom: 30px;
color: #333333;
font-weight: bold;
letter-spacing: 1px;
background: linear-gradient(to right, #4B0082, #9400D3, #FFFF00);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
animation: gradient 5s ease-in-out infinite alternate;
}
@keyframes gradient {
from {
background-position: left top;
}
to {
background-position: right bottom;
}
}
h1 {
font-size: 50px;
margin-bottom: 30px;
color: #333333;
font-weight: bold;
letter-spacing: 1px;
}
form {
display: flex;
justify-content: center;
align-items: center;
margin-top: 30px;
}
input[type="text"] {
padding: 10px 15px;
width: 60%;
margin-right: 10px;
font-size: 18px;
border-radius: 5px;
border: solid 2px #4B0082;
font-family: 'Tajawal', sans-serif;
}
input[type="text"]:focus {
outline: none;
border: solid 2px #9400D3;
box-shadow: 0px 0px 5px #9400D3;
}
button {
background-color: #9400D3;
color: white;
border: none;
padding: 10px 20px;
font-size: 18px;
cursor: pointer;
border-radius: 5px;
transition: background-color 0.3s ease-in-out;
font-family: 'Tajawal', sans-serif;
border: solid 2px #9400D3;
}
button:hover {
background-color: #4B0082;
}
button:focus {
outline: none;
box-shadow: 0px 0px 5px #9400D3;
}
#result {
margin-top: 50px;
}
hr {
margin-top: 20px;
}
p {
font-size: 24px;
margin-bottom: 10px;
font-weight: bold;
letter-spacing: 1px;
}
#shortened-url {
width:-moz-fit-content;
width:80%;
padding: 10px 15px;
margin-right:10px;
font-size: 18px;
border-radius: 5px;
border: solid 2px #4B0082;
font-family: 'Tajawal', sans-serif;
}
#shortened-url:focus {
outline: none;
border: solid 2px #9400D3;
box-shadow: 0px 0px 5px #9400D3;
}
.footer {
background-color: #333333;
color: white;
text-align: center;
padding: 20px;
position: absolute;
bottom: 0;
width: 100%;
}
</style>
</head>
<body>
<nav>
<div class="logo">
<a href="https://t-3alamtech.blogspot.com/"><span class="sr-only"><img src='logo.png' ></span></a>
</div>
<div>
<a href="https://t-3alamtech.blogspot.com/p/blog-page.html">من نحن</a>
<a href="zizouvitchtech@gmail.com">اتصل بنا</a>
</div>
</nav>
<div class="container">
<h1>تقليص الروابط</h1>
<form>
<input type="text" name="url" placeholder="ضع الرابط هنا">
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|
640275c07d8a1be67b675803d71a7e83
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{
"intermediate": 0.3691140413284302,
"beginner": 0.3677671253681183,
"expert": 0.26311880350112915
}
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47,354
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create a firefix instance using pupeteer in python
|
c1c281c27fe710d88e45ddb9c2766768
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{
"intermediate": 0.36636704206466675,
"beginner": 0.15940681099891663,
"expert": 0.47422611713409424
}
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47,355
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a post api call to https://api.gofile.io/servers gives me
{"status":"ok","data":{"servers":[{"name":"store11","zone":"na"},{"name":"store17","zone":"eu"},{"name":"store9","zone":"na"},{"name":"store8","zone":"na"},{"name":"store3","zone":"na"},{"name":"store1","zone":"eu"},{"name":"store10","zone":"eu"},{"name":"store2","zone":"eu"}]}}
retrieve first name from servers
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338a2040904f6e5c5c3539fc08df41a1
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{
"intermediate": 0.4721148908138275,
"beginner": 0.2763950824737549,
"expert": 0.2514899969100952
}
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47,356
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Under a django application created named posts i want to create different models related to posts , but i don't want the models to be all stored in models.py i want them to be in seperated files in a folder named models , how can that be done in order for django to detect them and apply migrations as it should
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ad55f2c3ded423b35e7a8061784bcc3b
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{
"intermediate": 0.7662405967712402,
"beginner": 0.09458046406507492,
"expert": 0.13917899131774902
}
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47,357
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how to get all table names printed from opostgres databse
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9e605ffed0aca272451959d449de5261
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{
"intermediate": 0.5650249123573303,
"beginner": 0.17546048760414124,
"expert": 0.25951454043388367
}
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47,358
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let's think step by step in depth on how to create from scratch a langchain framework called ATBmemoryAGI that will be an intelliggent memory management system to empower ai assistants so they become self improving , learn and evolve from past interactions with users , here is the logic of the framweork "Case Study: Contextual Memory in Action
To better understand the Contextual Memory module and its practical application, let's consider a hypothetical scenario where CrewAI is used to manage a software development project.
1. Scenario
Imagine you are the project manager of a software development team working on a new mobile application. You have decided to use CrewAI to help manage the project, assign tasks, and provide contextual information to team members.
2. Initial Setup
You set up CrewAI with the necessary memory modules: Short-Term Memory, Long-Term Memory, and Entity Memory. You also configure the Contextual Memory module to interact with these memory modules.
3. Task Assignment
One of the tasks in your project is to implement a new feature in the mobile application. You assign this task to a team member, Alice, using CrewAI. The task description is as follows:
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2168c720af858f15b3865d5f06e7ff6a
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{
"intermediate": 0.30654793977737427,
"beginner": 0.4809846580028534,
"expert": 0.21246732771396637
}
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47,359
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I need to connect my fedora laptop to a debian desktop with internet shared though the ehternet cable from the desktop to the laptop. However, the laptop cant access the internet. I know the dekstop side is fine. What do ai need to do on the lp
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10ab6e2bd1ae7f8f71ed800b8f1bd09c
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{
"intermediate": 0.43850862979888916,
"beginner": 0.293517529964447,
"expert": 0.2679738700389862
}
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47,360
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Extract table data from this html and save it into csv using python : "<table class="table table-bordered table-striped resizable">
<thead class="bg-dark text-light">
<tr>
<th class="text-center">District No.</th>
<th class="text-center">District Name</th>
<th class="text-center">No & Name of Assembly Constituency</th>
<th class="text-center">Tamil</th>
<th class="text-center">English</th>
</tr>
</thead>
<tbody class="loksab pslist-text">
<tr>
<td rowspan="10" style="vertical-align: middle; text-align: center">1</td>
<td rowspan="10" style="vertical-align: middle">TIRUVALLUR</td>
<td>1. Gummidipoondi</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC001.pdf" title="1. Gummidipoondi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC001.pdf" title="1. Gummidipoondi English">English</a></td>
</tr>
<tr>
<td>2. Ponneri</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC002.pdf" title="2. Ponneri Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC002.pdf" title="2. Ponneri English">English</a></td>
</tr>
<tr>
<td>3. Tiruttani</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC003.pdf" title="3. Tiruttani Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC003.pdf" title="3. Tiruttani English">English</a></td>
</tr>
<tr>
<td>4. Thiruvallur</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC004.pdf" title="4. Thiruvallur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC004.pdf" title="4. Thiruvallur English">English</a></td>
</tr>
<tr>
<td>5. Poonmallae</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC005.pdf" title="5. Poonmallae Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC005.pdf" title="5. Poonmallae English">English</a></td>
</tr>
<tr>
<td>6. Avadi</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC006.pdf" title="6. Avadi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC006.pdf" title="6. Avadi English">English</a></td>
</tr>
<tr>
<td>7. Maduravoyal</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC007.pdf" title="7. Maduravoyal Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC007.pdf" title="7. Maduravoyal English">English</a></td>
</tr>
<tr>
<td>8. Ambattur</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC008.pdf" title="8. Ambattur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC008.pdf" title="8. Ambattur English">English</a></td>
</tr>
<tr>
<td>9. Madavaram</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC009.pdf" title="9. Madavaram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC009.pdf" title="9. Madavaram English">English</a></td>
</tr>
<tr>
<td>10. Thiruvottiyur</td>
<td><a target="_blank" href="PSLIST_30032024/dt1/Tamil/AC010.pdf" title="10. Thiruvottiyur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt1/English/AC010.pdf" title="10. Thiruvottiyur English">English</a></td>
</tr>
<tr>
<td rowspan="16" style="vertical-align: middle; text-align: center">2</td>
<td rowspan="16" style="vertical-align: middle">CHENNAI</td>
<td>11. Dr.Radhakrishnan Nagar</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC011.pdf" title="11. Dr.Radhakrishnan Nagar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC011.pdf" title="11. Dr.Radhakrishnan Nagar English">English</a></td>
</tr>
<tr>
<td>12. Perambur</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC012.pdf" title="12. Perambur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC012.pdf" title="12. Perambur English">English</a></td>
</tr>
<tr>
<td>13. Kolathur</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC013.pdf" title="13. Kolathur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC013.pdf" title="13. Kolathur English">English</a></td>
</tr>
<tr>
<td>14. Villivakkam</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC014.pdf" title="14. Villivakkam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC014.pdf" title="14. Villivakkam English">English</a></td>
</tr>
<tr>
<td>15. Thiru-Vi-Ka-Nagar</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC015.pdf" title="15. Thiru-Vi-Ka-Nagar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC015.pdf" title="15. Thiru-Vi-Ka-Nagar English">English</a></td>
</tr>
<tr>
<td>16. Egmore</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC016.pdf" title="16. Egmore Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC016.pdf" title="16. Egmore English">English</a></td>
</tr>
<tr>
<td>17. Royapuram</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC017.pdf" title="17. Royapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC017.pdf" title="17. Royapuram English">English</a></td>
</tr>
<tr>
<td>18. Harbour</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC018.pdf" title="18. Harbour Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC018.pdf" title="18. Harbour English">English</a></td>
</tr>
<tr>
<td>19. Chepauk-Thiruvallikeni</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC019.pdf" title="19. Chepauk-Thiruvallikeni Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC019.pdf" title="19. Chepauk-Thiruvallikeni English">English</a></td>
</tr>
<tr>
<td>20. Thousand Lights</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC020.pdf" title="20. Thousand Lights Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC020.pdf" title="20. Thousand Lights English">English</a></td>
</tr>
<tr>
<td>21. Anna Nagar</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC021.pdf" title="21. Anna Nagar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC021.pdf" title="21. Anna Nagar English">English</a></td>
</tr>
<tr>
<td>22. Virugampakkam</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC022.pdf" title="22. Virugampakkam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC022.pdf" title="22. Virugampakkam English">English</a></td>
</tr>
<tr>
<td>23. Saidapet</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC023.pdf" title="23. Saidapet Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC023.pdf" title="23. Saidapet English">English</a></td>
</tr>
<tr>
<td>24. Thiyagarayanagar</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC024.pdf" title="24. Thiyagarayanagar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC024.pdf" title="24. Thiyagarayanagar English">English</a></td>
</tr>
<tr>
<td>25. Mylapore</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC025.pdf" title="25. Mylapore Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC025.pdf" title="25. Mylapore English">English</a></td>
</tr>
<tr>
<td>26. Velachery</td>
<td><a target="_blank" href="PSLIST_30032024/dt2/Tamil/AC026.pdf" title="26. Velachery Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt2/English/AC026.pdf" title="26. Velachery English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">3</td>
<td rowspan="4" style="vertical-align: middle">KANCHEEPURAM</td>
<td>28. Alandur</td>
<td><a target="_blank" href="PSLIST_30032024/dt3/Tamil/AC028.pdf" title="28. Alandur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt3/English/AC028.pdf" title="28. Alandur English">English</a></td>
</tr>
<tr>
<td>29. Sriperumbudur</td>
<td><a target="_blank" href="PSLIST_30032024/dt3/Tamil/AC029.pdf" title="29. Sriperumbudur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt3/English/AC029.pdf" title="29. Sriperumbudur English">English</a></td>
</tr>
<tr>
<td>36. Uthiramerur</td>
<td><a target="_blank" href="PSLIST_30032024/dt3/Tamil/AC036.pdf" title="36. Uthiramerur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt3/English/AC036.pdf" title="36. Uthiramerur English">English</a></td>
</tr>
<tr>
<td>37. Kancheepuram</td>
<td><a target="_blank" href="PSLIST_30032024/dt3/Tamil/AC037.pdf" title="37. Kancheepuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt3/English/AC037.pdf" title="37. Kancheepuram English">English</a></td>
</tr>
<tr>
<td rowspan="5" style="vertical-align: middle; text-align: center">4</td>
<td rowspan="5" style="vertical-align: middle">VELLORE</td>
<td>40. Katpadi</td>
<td><a target="_blank" href="PSLIST_30032024/dt4/Tamil/AC040.pdf" title="40. Katpadi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt4/English/AC040.pdf" title="40. Katpadi English">English</a></td>
</tr>
<tr>
<td>43. Vellore</td>
<td><a target="_blank" href="PSLIST_30032024/dt4/Tamil/AC043.pdf" title="43. Vellore Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt4/English/AC043.pdf" title="43. Vellore English">English</a></td>
</tr>
<tr>
<td>44. Anaikattu</td>
<td><a target="_blank" href="PSLIST_30032024/dt4/Tamil/AC044.pdf" title="44. Anaikattu Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt4/English/AC044.pdf" title="44. Anaikattu English">English</a></td>
</tr>
<tr>
<td>45. Kilvaithinankuppam</td>
<td><a target="_blank" href="PSLIST_30032024/dt4/Tamil/AC045.pdf" title="45. Kilvaithinankuppam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt4/English/AC045.pdf" title="45. Kilvaithinankuppam English">English</a></td>
</tr>
<tr>
<td>46. Gudiyattam</td>
<td><a target="_blank" href="PSLIST_30032024/dt4/Tamil/AC046.pdf" title="46. Gudiyattam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt4/English/AC046.pdf" title="46. Gudiyattam English">English</a></td>
</tr>
<tr>
<td rowspan="6" style="vertical-align: middle; text-align: center">5</td>
<td rowspan="6" style="vertical-align: middle">KRISHNAGIRI</td>
<td>51. Uthangarai</td>
<td><a target="_blank" href="PSLIST_30032024/dt5/Tamil/AC051.pdf" title="51. Uthangarai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt5/English/AC051.pdf" title="51. Uthangarai English">English</a></td>
</tr>
<tr>
<td>52. Bargur</td>
<td><a target="_blank" href="PSLIST_30032024/dt5/Tamil/AC052.pdf" title="52. Bargur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt5/English/AC052.pdf" title="52. Bargur English">English</a></td>
</tr>
<tr>
<td>53. Krishnagiri</td>
<td><a target="_blank" href="PSLIST_30032024/dt5/Tamil/AC053.pdf" title="53. Krishnagiri Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt5/English/AC053.pdf" title="53. Krishnagiri English">English</a></td>
</tr>
<tr>
<td>54. Veppanahalli</td>
<td><a target="_blank" href="PSLIST_30032024/dt5/Tamil/AC054.pdf" title="54. Veppanahalli Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt5/English/AC054.pdf" title="54. Veppanahalli English">English</a></td>
</tr>
<tr>
<td>55. Hosur</td>
<td><a target="_blank" href="PSLIST_30032024/dt5/Tamil/AC055.pdf" title="55. Hosur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt5/English/AC055.pdf" title="55. Hosur English">English</a></td>
</tr>
<tr>
<td>56. Thalli</td>
<td><a target="_blank" href="PSLIST_30032024/dt5/Tamil/AC056.pdf" title="56. Thalli Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt5/English/AC056.pdf" title="56. Thalli English">English</a></td>
</tr>
<tr>
<td rowspan="5" style="vertical-align: middle; text-align: center">6</td>
<td rowspan="5" style="vertical-align: middle">DHARMAPURI</td>
<td>57. Palacodu</td>
<td><a target="_blank" href="PSLIST_30032024/dt6/Tamil/AC057.pdf" title="57. Palacodu Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt6/English/AC057.pdf" title="57. Palacodu English">English</a></td>
</tr>
<tr>
<td>58. Pennagaram</td>
<td><a target="_blank" href="PSLIST_30032024/dt6/Tamil/AC058.pdf" title="58. Pennagaram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt6/English/AC058.pdf" title="58. Pennagaram English">English</a></td>
</tr>
<tr>
<td>59. Dharmapuri</td>
<td><a target="_blank" href="PSLIST_30032024/dt6/Tamil/AC059.pdf" title="59. Dharmapuri Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt6/English/AC059.pdf" title="59. Dharmapuri English">English</a></td>
</tr>
<tr>
<td>60. Pappireddippatti</td>
<td><a target="_blank" href="PSLIST_30032024/dt6/Tamil/AC060.pdf" title="60. Pappireddippatti Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt6/English/AC060.pdf" title="60. Pappireddippatti English">English</a></td>
</tr>
<tr>
<td>61. Harur</td>
<td><a target="_blank" href="PSLIST_30032024/dt6/Tamil/AC061.pdf" title="61. Harur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt6/English/AC061.pdf" title="61. Harur English">English</a></td>
</tr>
<tr>
<td rowspan="8" style="vertical-align: middle; text-align: center">7</td>
<td rowspan="8" style="vertical-align: middle">TIRUVANNAMALAI</td>
<td>62. Chengam</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC062.pdf" title="62. Chengam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC062.pdf" title="62. Chengam English">English</a></td>
</tr>
<tr>
<td>63. Tiruvannamalai</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC063.pdf" title="63. Tiruvannamalai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC063.pdf" title="63. Tiruvannamalai English">English</a></td>
</tr>
<tr>
<td>64. Kilpennathur</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC064.pdf" title="64. Kilpennathur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC064.pdf" title="64. Kilpennathur English">English</a></td>
</tr>
<tr>
<td>65. Kalasapakkam</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC065.pdf" title="65. Kalasapakkam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC065.pdf" title="65. Kalasapakkam English">English</a></td>
</tr>
<tr>
<td>66. Polur</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC066.pdf" title="66. Polur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC066.pdf" title="66. Polur English">English</a></td>
</tr>
<tr>
<td>67. Arani</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC067.pdf" title="67. Arani Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC067.pdf" title="67. Arani English">English</a></td>
</tr>
<tr>
<td>68. Cheyyar</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC068.pdf" title="68. Cheyyar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC068.pdf" title="68. Cheyyar English">English</a></td>
</tr>
<tr>
<td>69. Vandavasi</td>
<td><a target="_blank" href="PSLIST_30032024/dt7/Tamil/AC069.pdf" title="69. Vandavasi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt7/English/AC069.pdf" title="69. Vandavasi English">English</a></td>
</tr>
<tr>
<td rowspan="7" style="vertical-align: middle; text-align: center">8</td>
<td rowspan="7" style="vertical-align: middle">VILLUPURAM</td>
<td>70. Gingee</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC070.pdf" title="70. Gingee Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC070.pdf" title="70. Gingee English">English</a></td>
</tr>
<tr>
<td>71. Mailam</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC071.pdf" title="71. Mailam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC071.pdf" title="71. Mailam English">English</a></td>
</tr>
<tr>
<td>72. Tindivanam</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC072.pdf" title="72. Tindivanam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC072.pdf" title="72. Tindivanam English">English</a></td>
</tr>
<tr>
<td>73. Vanur</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC073.pdf" title="73. Vanur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC073.pdf" title="73. Vanur English">English</a></td>
</tr>
<tr>
<td>74. Villupuram</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC074.pdf" title="74. Villupuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC074.pdf" title="74. Villupuram English">English</a></td>
</tr>
<tr>
<td>75. Vikravandi</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC075.pdf" title="75. Vikravandi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC075.pdf" title="75. Vikravandi English">English</a></td>
</tr>
<tr>
<td>76. Tirukkoyilur</td>
<td><a target="_blank" href="PSLIST_30032024/dt8/Tamil/AC076.pdf" title="76. Tirukkoyilur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt8/English/AC076.pdf" title="76. Tirukkoyilur English">English</a></td>
</tr>
<tr>
<td rowspan="11" style="vertical-align: middle; text-align: center">9</td>
<td rowspan="11" style="vertical-align: middle">SALEM</td>
<td>81. Gangavalli</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC081.pdf" title="81. Gangavalli Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC081.pdf" title="81. Gangavalli English">English</a></td>
</tr>
<tr>
<td>82. Attur</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC082.pdf" title="82. Attur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC082.pdf" title="82. Attur English">English</a></td>
</tr>
<tr>
<td>83. Yercaud</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC083.pdf" title="83. Yercaud Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC083.pdf" title="83. Yercaud English">English</a></td>
</tr>
<tr>
<td>84. Omalur</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC084.pdf" title="84. Omalur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC084.pdf" title="84. Omalur English">English</a></td>
</tr>
<tr>
<td>85. Mettur</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC085.pdf" title="85. Mettur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC085.pdf" title="85. Mettur English">English</a></td>
</tr>
<tr>
<td>86. Edappadi</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC086.pdf" title="86. Edappadi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC086.pdf" title="86. Edappadi English">English</a></td>
</tr>
<tr>
<td>87. Sankari</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC087.pdf" title="87. Sankari Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC087.pdf" title="87. Sankari English">English</a></td>
</tr>
<tr>
<td>88. Salem (West)</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC088.pdf" title="88. Salem (West) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC088.pdf" title="88. Salem (West) English">English</a></td>
</tr>
<tr>
<td>89. Salem (North)</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC089.pdf" title="89. Salem (North) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC089.pdf" title="89. Salem (North) English">English</a></td>
</tr>
<tr>
<td>90. Salem (South)</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC090.pdf" title="90. Salem (South) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC090.pdf" title="90. Salem (South) English">English</a></td>
</tr>
<tr>
<td>91. Veerapandi</td>
<td><a target="_blank" href="PSLIST_30032024/dt9/Tamil/AC091.pdf" title="91. Veerapandi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt9/English/AC091.pdf" title="91. Veerapandi English">English</a></td>
</tr>
<tr>
<td rowspan="6" style="vertical-align: middle; text-align: center">10</td>
<td rowspan="6" style="vertical-align: middle">NAMAKKAL</td>
<td>92. Rasipuram</td>
<td><a target="_blank" href="PSLIST_30032024/dt10/Tamil/AC092.pdf" title="92. Rasipuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt10/English/AC092.pdf" title="92. Rasipuram English">English</a></td>
</tr>
<tr>
<td>93. Senthamangalam</td>
<td><a target="_blank" href="PSLIST_30032024/dt10/Tamil/AC093.pdf" title="93. Senthamangalam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt10/English/AC093.pdf" title="93. Senthamangalam English">English</a></td>
</tr>
<tr>
<td>94. Namakkal</td>
<td><a target="_blank" href="PSLIST_30032024/dt10/Tamil/AC094.pdf" title="94. Namakkal Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt10/English/AC094.pdf" title="94. Namakkal English">English</a></td>
</tr>
<tr>
<td>95. Paramathi-Velur</td>
<td><a target="_blank" href="PSLIST_30032024/dt10/Tamil/AC095.pdf" title="95. Paramathi-Velur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt10/English/AC095.pdf" title="95. Paramathi-Velur English">English</a></td>
</tr>
<tr>
<td>96. Tiruchengodu</td>
<td><a target="_blank" href="PSLIST_30032024/dt10/Tamil/AC096.pdf" title="96. Tiruchengodu Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt10/English/AC096.pdf" title="96. Tiruchengodu English">English</a></td>
</tr>
<tr>
<td>97. Kumarapalayam</td>
<td><a target="_blank" href="PSLIST_30032024/dt10/Tamil/AC097.pdf" title="97. Kumarapalayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt10/English/AC097.pdf" title="97. Kumarapalayam English">English</a></td>
</tr>
<tr>
<td rowspan="8" style="vertical-align: middle; text-align: center">11</td>
<td rowspan="8" style="vertical-align: middle">ERODE</td>
<td>98. Erode (East)</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC098.pdf" title="98. Erode (East) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC098.pdf" title="98. Erode (East) English">English</a></td>
</tr>
<tr>
<td>99. Erode (West)</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC099.pdf" title="99. Erode (West) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC099.pdf" title="99. Erode (West) English">English</a></td>
</tr>
<tr>
<td>100. Modakkurichi</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC100.pdf" title="100. Modakkurichi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC100.pdf" title="100. Modakkurichi English">English</a></td>
</tr>
<tr>
<td>103. Perundurai</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC103.pdf" title="103. Perundurai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC103.pdf" title="103. Perundurai English">English</a></td>
</tr>
<tr>
<td>104. Bhavani</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC104.pdf" title="104. Bhavani Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC104.pdf" title="104. Bhavani English">English</a></td>
</tr>
<tr>
<td>105. Anthiyur</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC105.pdf" title="105. Anthiyur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC105.pdf" title="105. Anthiyur English">English</a></td>
</tr>
<tr>
<td>106. Gobichettipalayam</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC106.pdf" title="106. Gobichettipalayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC106.pdf" title="106. Gobichettipalayam English">English</a></td>
</tr>
<tr>
<td>107. Bhavanisagar</td>
<td><a target="_blank" href="PSLIST_30032024/dt11/Tamil/AC107.pdf" title="107. Bhavanisagar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt11/English/AC107.pdf" title="107. Bhavanisagar English">English</a></td>
</tr>
<tr>
<td rowspan="3" style="vertical-align: middle; text-align: center">12</td>
<td rowspan="3" style="vertical-align: middle">THE NILGIRIS</td>
<td>108. Udhagamandalam</td>
<td><a target="_blank" href="PSLIST_30032024/dt12/Tamil/AC108.pdf" title="108. Udhagamandalam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt12/English/AC108.pdf" title="108. Udhagamandalam English">English</a></td>
</tr>
<tr>
<td>109. Gudalur</td>
<td><a target="_blank" href="PSLIST_30032024/dt12/Tamil/AC109.pdf" title="109. Gudalur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt12/English/AC109.pdf" title="109. Gudalur English">English</a></td>
</tr>
<tr>
<td>110. Coonoor</td>
<td><a target="_blank" href="PSLIST_30032024/dt12/Tamil/AC110.pdf" title="110. Coonoor Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt12/English/AC110.pdf" title="110. Coonoor English">English</a></td>
</tr>
<tr>
<td rowspan="10" style="vertical-align: middle; text-align: center">13</td>
<td rowspan="10" style="vertical-align: middle">COIMBATORE</td>
<td>111. Mettuppalayam</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC111.pdf" title="111. Mettuppalayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC111.pdf" title="111. Mettuppalayam English">English</a></td>
</tr>
<tr>
<td>116. Sulur</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC116.pdf" title="116. Sulur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC116.pdf" title="116. Sulur English">English</a></td>
</tr>
<tr>
<td>117. Kavundampalayam</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC117.pdf" title="117. Kavundampalayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC117.pdf" title="117. Kavundampalayam English">English</a></td>
</tr>
<tr>
<td>118. Coimbatore (North)</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC118.pdf" title="118. Coimbatore (North) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC118.pdf" title="118. Coimbatore (North) English">English</a></td>
</tr>
<tr>
<td>119. Thondamuthur</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC119.pdf" title="119. Thondamuthur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC119.pdf" title="119. Thondamuthur English">English</a></td>
</tr>
<tr>
<td>120. Coimbatore (South)
</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC120.pdf" title="120. Coimbatore (South) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC120.pdf" title="120. Coimbatore (South) English">English</a></td>
</tr>
<tr>
<td>121. Singanallur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC121.pdf" title="121. Singanallur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC121.pdf" title="121. Singanallur English">English</a></td>
</tr>
<tr>
<td>122. Kinathukadavu
</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC122.pdf" title="122. Kinathukadavu Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC122.pdf" title="122. Kinathukadavu English">English</a></td>
</tr>
<tr>
<td>123. Pollachi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC123.pdf" title="123. Pollachi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC123.pdf" title="123. Pollachi English">English</a></td>
</tr>
<tr>
<td>124. Valparai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt13/Tamil/AC124.pdf" title="124. Valparai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt13/English/AC124.pdf" title="124. Valparai English">English</a></td>
</tr>
<tr>
<td rowspan="7" style="vertical-align: middle; text-align: center">14</td>
<td rowspan="7" style="vertical-align: middle">DINDIGUL</td>
<td>127. Palani
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC127.pdf" title="127. Palani Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC127.pdf" title="127. Palani English">English</a></td>
</tr>
<tr>
<td>128. Oddanchatram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC128.pdf" title="128. Oddanchatram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC128.pdf" title="128. Oddanchatram English">English</a></td>
</tr>
<tr>
<td>129. Athoor
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC129.pdf" title="129. Athoor Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC129.pdf" title="129. Athoor English">English</a></td>
</tr>
<tr>
<td>130. Nilakkottai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC130.pdf" title="130. Nilakkottai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC130.pdf" title="130. Nilakkottai English">English</a></td>
</tr>
<tr>
<td>131. Natham
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC131.pdf" title="131. Natham Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC131.pdf" title="131. Natham English">English</a></td>
</tr>
<tr>
<td>132. Dindigul
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC132.pdf" title="132. Dindigul Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC132.pdf" title="132. Dindigul English">English</a></td>
</tr>
<tr>
<td>133. Vedasandur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt14/Tamil/AC133.pdf" title="133. Vedasandur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt14/English/AC133.pdf" title="133. Vedasandur English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">15</td>
<td rowspan="4" style="vertical-align: middle">KARUR</td>
<td>134. Aravakurichi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt15/Tamil/AC134.pdf" title="134. Aravakurichi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt15/English/AC134.pdf" title="134. Aravakurichi English">English</a></td>
</tr>
<tr>
<td>135. Karur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt15/Tamil/AC135.pdf" title="135. Karur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt15/English/AC135.pdf" title="135. Karur English">English</a></td>
</tr>
<tr>
<td>136. Krishnarayapuram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt15/Tamil/AC136.pdf" title="136. Krishnarayapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt15/English/AC136.pdf" title="136. Krishnarayapuram English">English</a></td>
</tr>
<tr>
<td>137. Kulithalai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt15/Tamil/AC137.pdf" title="137. Kulithalai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt15/English/AC137.pdf" title="137. Kulithalai English">English</a></td>
</tr>
<tr>
<td rowspan="9" style="vertical-align: middle; text-align: center">16</td>
<td rowspan="9" style="vertical-align: middle">TIRUCHIRAPPALLI</td>
<td>138. Manapparai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC138.pdf" title="138. Manapparai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC138.pdf" title="138. Manapparai English">English</a></td>
</tr>
<tr>
<td>139. Srirangam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC139.pdf" title="139. Srirangam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC139.pdf" title="139. Srirangam English">English</a></td>
</tr>
<tr>
<td>140. Tiruchirappalli (West)
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC140.pdf" title="140. Tiruchirappalli (West) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC140.pdf" title="140. Tiruchirappalli (West) English">English</a></td>
</tr>
<tr>
<td>141. Tiruchirappalli (East)
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC141.pdf" title="141. Tiruchirappalli (East) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC141.pdf" title="141. Tiruchirappalli (East) English">English</a></td>
</tr>
<tr>
<td>142. Thiruverumbur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC142.pdf" title="142. Thiruverumbur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC142.pdf" title="142. Thiruverumbur English">English</a></td>
</tr>
<tr>
<td>143. Lalgudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC143.pdf" title="143. Lalgudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC143.pdf" title="143. Lalgudi English">English</a></td>
</tr>
<tr>
<td>144. Manachanallur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC144.pdf" title="144. Manachanallur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC144.pdf" title="144. Manachanallur English">English</a></td>
</tr>
<tr>
<td>145. Musiri
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC145.pdf" title="145. Musiri Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC145.pdf" title="145. Musiri English">English</a></td>
</tr>
<tr>
<td>146. Thuraiyur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt16/Tamil/AC146.pdf" title="146. Thuraiyur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt16/English/AC146.pdf" title="146. Thuraiyur English">English</a></td>
</tr>
<tr>
<td rowspan="2" style="vertical-align: middle; text-align: center">17</td>
<td rowspan="2" style="vertical-align: middle">PERAMBALUR</td>
<td>147. Perambalur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt17/Tamil/AC147.pdf" title="147. Perambalur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt17/English/AC147.pdf" title="147. Perambalur English">English</a></td>
</tr>
<tr>
<td>148. Kunnam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt17/Tamil/AC148.pdf" title="148. Kunnam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt17/English/AC148.pdf" title="148. Kunnam English">English</a></td>
</tr>
<tr>
<td rowspan="9" style="vertical-align: middle; text-align: center">18</td>
<td rowspan="9" style="vertical-align: middle">CUDDALORE</td>
<td>151. Tittakudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC151.pdf" title="151. Tittakudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC151.pdf" title="151. Tittakudi English">English</a></td>
</tr>
<tr>
<td>152. Vriddhachalam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC152.pdf" title="152. Vriddhachalam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC152.pdf" title="152. Vriddhachalam English">English</a></td>
</tr>
<tr>
<td>153. Neyveli
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC153.pdf" title="153. Neyvel Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC153.pdf" title="153. Neyvel English">English</a></td>
</tr>
<tr>
<td>154. Panruti
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC154.pdf" title="154. Panruti Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC154.pdf" title="154. Panruti English">English</a></td>
</tr>
<tr>
<td>155. Cuddalore
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC155.pdf" title="155. Cuddalore Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC155.pdf" title="155. Cuddalore English">English</a></td>
</tr>
<tr>
<td>156. Kurinjipadi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC156.pdf" title="156. Kurinjipadi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC156.pdf" title="156. Kurinjipadi English">English</a></td>
</tr>
<tr>
<td>157. Bhuvanagiri
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC157.pdf" title="157. Bhuvanagiri Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC157.pdf" title="157. Bhuvanagiri English">English</a></td>
</tr>
<tr>
<td>158. Chidambaram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC158.pdf" title="158. Chidambaram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC158.pdf" title="158. Chidambaram English">English</a></td>
</tr>
<tr>
<td>159. Kattumannarkoil
</td>
<td><a target="_blank" href="PSLIST_30032024/dt18/Tamil/AC159.pdf" title="159. Kattumannarkoil Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt18/English/AC159.pdf" title="159. Kattumannarkoil English">English</a></td>
</tr>
<tr>
<td rowspan="3" style="vertical-align: middle; text-align: center">19</td>
<td rowspan="3" style="vertical-align: middle">NAGAPATTINAM</td>
<td>163. Nagapattinam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt19/Tamil/AC163.pdf" title="163. Nagapattinam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt19/English/AC163.pdf" title="163. Nagapattinam English">English</a></td>
</tr>
<tr>
<td>164. Kilvelur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt19/Tamil/AC164.pdf" title="164. Kilvelur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt19/English/AC164.pdf" title="164. Kilvelur English">English</a></td>
</tr>
<tr>
<td>165. Vedaranyam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt19/Tamil/AC165.pdf" title="165. Vedaranyam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt19/English/AC165.pdf" title="165. Vedaranyam English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">20</td>
<td rowspan="4" style="vertical-align: middle">THIRUVARUR</td>
<td>166. Thiruthuraipoondi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt20/Tamil/AC166.pdf" title="166. Thiruthuraipoondi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt20/English/AC166.pdf" title="166. Thiruthuraipoondi English">English</a></td>
</tr>
<tr>
<td>167. Mannargudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt20/Tamil/AC167.pdf" title="167. Mannargudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt20/English/AC167.pdf" title="167. Mannargudi English">English</a></td>
</tr>
<tr>
<td>168. Thiruvarur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt20/Tamil/AC168.pdf" title="168. Thiruvarur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt20/English/AC168.pdf" title="168. Thiruvarur English">English</a></td>
</tr>
<tr>
<td>169. Nannilam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt20/Tamil/AC169.pdf" title="169. Nannilam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt20/English/AC169.pdf" title="169. Nannilam English">English</a></td>
</tr>
<tr>
<td rowspan="8" style="vertical-align: middle; text-align: center">21</td>
<td rowspan="8" style="vertical-align: middle">THANJAVUR </td>
<td>170. Thiruvidaimarudur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC170.pdf" title="170. Thiruvidaimarudur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC170.pdf" title="170. Thiruvidaimarudur English">English</a></td>
</tr>
<tr>
<td>171. Kumbakonam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC171.pdf" title="171. Kumbakonam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC171.pdf" title="171. Kumbakonam English">English</a></td>
</tr>
<tr>
<td>172. Papanasam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC172.pdf" title="172. Papanasam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC172.pdf" title="172. Papanasam English">English</a></td>
</tr>
<tr>
<td>173. Thiruvaiyaru
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC173.pdf" title="173. Thiruvaiyaru Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC173.pdf" title="173. Thiruvaiyaru English">English</a></td>
</tr>
<tr>
<td>174. Thanjavur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC174.pdf" title="174. Thanjavur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC174.pdf" title="174. Thanjavur English">English</a></td>
</tr>
<tr>
<td>175. Orathanadu
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC175.pdf" title="175. Orathanadu Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC175.pdf" title="175. Orathanadu English">English</a></td>
</tr>
<tr>
<td>176. Pattukkottai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC176.pdf" title="176. Pattukkottai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC176.pdf" title="176. Pattukkottai English">English</a></td>
</tr>
<tr>
<td>177. Peravurani
</td>
<td><a target="_blank" href="PSLIST_30032024/dt21/Tamil/AC177.pdf" title="177. Peravurani Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt21/English/AC177.pdf" title="177. Peravurani English">English</a></td>
</tr>
<tr>
<td rowspan="6" style="vertical-align: middle; text-align: center">22</td>
<td rowspan="6" style="vertical-align: middle">PUDUKKOTTAI</td>
<td>178. Gandharvakottai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt22/Tamil/AC178.pdf" title="178. Gandharvakottai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt22/English/AC178.pdf" title="178. Gandharvakottai English">English</a></td>
</tr>
<tr>
<td>179. Viralimalai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt22/Tamil/AC179.pdf" title="179. Viralimalai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt22/English/AC179.pdf" title="179. Viralimalai English">English</a></td>
</tr>
<tr>
<td>180. Pudukkottai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt22/Tamil/AC180.pdf" title="180. Pudukkottai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt22/English/AC180.pdf" title="180. Pudukkottai English">English</a></td>
</tr>
<tr>
<td>181. Thirumayam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt22/Tamil/AC181.pdf" title="181. Thirumayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt22/English/AC181.pdf" title="181. Thirumayam English">English</a></td>
</tr>
<tr>
<td>182. Alangudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt22/Tamil/AC182.pdf" title="182. Alangudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt22/English/AC182.pdf" title="182. Alangudi English">English</a></td>
</tr>
<tr>
<td>183. Aranthangi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt22/Tamil/AC183.pdf" title="183. Aranthangi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt22/English/AC183.pdf" title="183. Aranthangi English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">23</td>
<td rowspan="4" style="vertical-align: middle">SIVAGANGA</td>
<td>184. Karaikudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt23/Tamil/AC184.pdf" title="184. Karaikudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt23/English/AC184.pdf" title="184. Karaikudi English">English</a></td>
</tr>
<tr>
<td>185. Tiruppattur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt23/Tamil/AC185.pdf" title="185. Tiruppattur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt23/English/AC185.pdf" title="185. Tiruppattur English">English</a></td>
</tr>
<tr>
<td>186. Sivaganga
</td>
<td><a target="_blank" href="PSLIST_30032024/dt23/Tamil/AC186.pdf" title="186. Sivaganga Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt23/English/AC186.pdf" title="186. Sivaganga English">English</a></td>
</tr>
<tr>
<td>187. Manamadurai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt23/Tamil/AC187.pdf" title="187. Manamadurai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt23/English/AC187.pdf" title="187. Manamadurai English">English</a></td>
</tr>
<tr>
<td rowspan="10" style="vertical-align: middle; text-align: center">24</td>
<td rowspan="10" style="vertical-align: middle">MADURAI</td>
<td>188. Melur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC188.pdf" title="188. Melur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC188.pdf" title="188. Melur English">English</a></td>
</tr>
<tr>
<td>189. Madurai East
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC189.pdf" title="189. Madurai East Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC189.pdf" title="189. Madurai East English">English</a></td>
</tr>
<tr>
<td>190. Sholavandan
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC190.pdf" title="190. Sholavandan Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC190.pdf" title="190. Sholavandan English">English</a></td>
</tr>
<tr>
<td>191. Madurai North
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC191.pdf" title="191. Madurai North Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC191.pdf" title="191. Madurai North English">English</a></td>
</tr>
<tr>
<td>192. Madurai South
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC192.pdf" title="192. Madurai South Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC192.pdf" title="192. Madurai South English">English</a></td>
</tr>
<tr>
<td>193. Madurai Central
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC193.pdf" title="193. Madurai Central Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC193.pdf" title="193. Madurai Central English">English</a></td>
</tr>
<tr>
<td>194. Madurai West
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC194.pdf" title="194. Madurai West Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC194.pdf" title="194. Madurai West English">English</a></td>
</tr>
<tr>
<td>195. Thiruparankundram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC195.pdf" title="195. Thiruparankundram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC195.pdf" title="195. Thiruparankundram English">English</a></td>
</tr>
<tr>
<td>196. Thirumangalam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC196.pdf" title="196. Thirumangalam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC196.pdf" title="196. Thirumangalam English">English</a></td>
</tr>
<tr>
<td>197. Usilampatti
</td>
<td><a target="_blank" href="PSLIST_30032024/dt24/Tamil/AC197.pdf" title="197. Usilampatti Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt24/English/AC197.pdf" title="197. Usilampatti English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">25</td>
<td rowspan="4" style="vertical-align: middle">THENI</td>
<td>198. Andipatti
</td>
<td><a target="_blank" href="PSLIST_30032024/dt25/Tamil/AC198.pdf" title="198. Andipatti Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt25/English/AC198.pdf" title="198. Andipatti English">English</a></td>
</tr>
<tr>
<td>199. Periyakulam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt25/Tamil/AC199.pdf" title="199. Periyakulam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt25/English/AC199.pdf" title="199. Periyakulam English">English</a></td>
</tr>
<tr>
<td>200. Bodinayakanur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt25/Tamil/AC200.pdf" title="200. Bodinayakanur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt25/English/AC200.pdf" title="200. Bodinayakanur English">English</a></td>
</tr>
<tr>
<td>201. Cumbum
</td>
<td><a target="_blank" href="PSLIST_30032024/dt25/Tamil/AC201.pdf" title="201. Cumbum Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt25/English/AC201.pdf" title="201. Cumbum English">English</a></td>
</tr>
<tr>
<td rowspan="7" style="vertical-align: middle; text-align: center">26</td>
<td rowspan="7" style="vertical-align: middle">VIRUDHUNAGAR</td>
<td>202. Rajapalayam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC202.pdf" title="202. Rajapalayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC202.pdf" title="202. Rajapalayam English">English</a></td>
</tr>
<tr>
<td>203. Srivilliputhur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC203.pdf" title="203. Srivilliputhur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC203.pdf" title="203. Srivilliputhur English">English</a></td>
</tr>
<tr>
<td>204. Sattur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC204.pdf" title="204. Sattur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC204.pdf" title="204. Sattur English">English</a></td>
</tr>
<tr>
<td>205. Sivakasi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC205.pdf" title="205. Sivakasi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC205.pdf" title="205. Sivakasi English">English</a></td>
</tr>
<tr>
<td>206. Virudhunagar
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC206.pdf" title="206. Virudhunagar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC206.pdf" title="206. Virudhunagar English">English</a></td>
</tr>
<tr>
<td>207. Aruppukkottai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC207.pdf" title="207. Aruppukkottai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC207.pdf" title="207. Aruppukkottai English">English</a></td>
</tr>
<tr>
<td>208. Tiruchuli
</td>
<td><a target="_blank" href="PSLIST_30032024/dt26/Tamil/AC208.pdf" title="208. Tiruchuli Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt26/English/AC208.pdf" title="208. Tiruchuli English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">27</td>
<td rowspan="4" style="vertical-align: middle">RAMANATHAPURAM</td>
<td>209. Paramakudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt27/Tamil/AC209.pdf" title="209. Paramakudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt27/English/AC209.pdf" title="209. Paramakudi English">English</a></td>
</tr>
<tr>
<td>210. Tiruvadanai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt27/Tamil/AC210.pdf" title="210. Tiruvadanai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt27/English/AC210.pdf" title="210. Tiruvadanai English">English</a></td>
</tr>
<tr>
<td>211. Ramanathapuram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt27/Tamil/AC211.pdf" title="211. Ramanathapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt27/English/AC211.pdf" title="211. Ramanathapuram English">English</a></td>
</tr>
<tr>
<td>212. Mudhukulathur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt27/Tamil/AC212.pdf" title="212. Mudhukulathur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt27/English/AC212.pdf" title="212. Mudhukulathur English">English</a></td>
</tr>
<tr>
<td rowspan="6" style="vertical-align: middle; text-align: center">28</td>
<td rowspan="6" style="vertical-align: middle">THOOTHUKKUDI</td>
<td>213. Vilathikulam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt28/Tamil/AC213.pdf" title="213. Vilathikulam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt28/English/AC213.pdf" title="213. Vilathikulam English">English</a></td>
</tr>
<tr>
<td>214. Thoothukkudi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt28/Tamil/AC214.pdf" title="214. Thoothukkudi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt28/English/AC214.pdf" title="214. Thoothukkudi English">English</a></td>
</tr>
<tr>
<td>215. Tiruchendur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt28/Tamil/AC215.pdf" title="215. Tiruchendur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt28/English/AC215.pdf" title="215. Tiruchendur English">English</a></td>
</tr>
<tr>
<td>216. Srivaikuntam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt28/Tamil/AC216.pdf" title="216. Srivaikuntam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt28/English/AC216.pdf" title="216. Srivaikuntam English">English</a></td>
</tr>
<tr>
<td>217. Ottapidaram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt28/Tamil/AC217.pdf" title="217. Ottapidaram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt28/English/AC217.pdf" title="217. Ottapidaram English">English</a></td>
</tr>
<tr>
<td>218. Kovilpatti
</td>
<td><a target="_blank" href="PSLIST_30032024/dt28/Tamil/AC218.pdf" title="218. Kovilpatti Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt28/English/AC218.pdf" title="218. Kovilpatti English">English</a></td>
</tr>
<tr>
<td rowspan="5" style="vertical-align: middle; text-align: center">29</td>
<td rowspan="5" style="vertical-align: middle">TIRUNELVELI</td>
<td>224. Tirunelveli
</td>
<td><a target="_blank" href="PSLIST_30032024/dt29/Tamil/AC224.pdf" title="224. Tirunelveli Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt29/English/AC224.pdf" title="224. Tirunelveli English">English</a></td>
</tr>
<tr>
<td>225. Ambasamudram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt29/Tamil/AC225.pdf" title="225. Ambasamudram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt29/English/AC225.pdf" title="225. Ambasamudram English">English</a></td>
</tr>
<tr>
<td>226. Palayamkottai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt29/Tamil/AC226.pdf" title="226. Palayamkottai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt29/English/AC226.pdf" title="226. Palayamkottai English">English</a></td>
</tr>
<tr>
<td>227. Nanguneri
</td>
<td><a target="_blank" href="PSLIST_30032024/dt29/Tamil/AC227.pdf" title="227. Nanguneri Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt29/English/AC227.pdf" title="227. Nanguneri English">English</a></td>
</tr>
<tr>
<td>228. Radhapuram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt29/Tamil/AC228.pdf" title="228. Radhapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt29/English/AC228.pdf" title="228. Radhapuram English">English</a></td>
</tr>
<tr>
<td rowspan="6" style="vertical-align: middle; text-align: center">30</td>
<td rowspan="6" style="vertical-align: middle">KANNIYAKUMARI</td>
<td>229. Kanniyakumari
</td>
<td><a target="_blank" href="PSLIST_30032024/dt30/Tamil/AC229.pdf" title="229. Kanniyakumari Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt30/English/AC229.pdf" title="229. Kanniyakumari English">English</a></td>
</tr>
<tr>
<td>230. Nagercoil
</td>
<td><a target="_blank" href="PSLIST_30032024/dt30/Tamil/AC230.pdf" title="230. Nagercoil Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt30/English/AC230.pdf" title="230. Nagercoil English">English</a></td>
</tr>
<tr>
<td>231. Colachal
</td>
<td><a target="_blank" href="PSLIST_30032024/dt30/Tamil/AC231.pdf" title="231. Colachal Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt30/English/AC231.pdf" title="231. Colachal English">English</a></td>
</tr>
<tr>
<td>232. Padmanabhapuram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt30/Tamil/AC232.pdf" title="232. Padmanabhapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt30/English/AC232.pdf" title="232. Padmanabhapuram English">English</a></td>
</tr>
<tr>
<td>233. Vilavancode
</td>
<td><a target="_blank" href="PSLIST_30032024/dt30/Tamil/AC233.pdf" title="233. Vilavancode Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt30/English/AC233.pdf" title="233. Vilavancode English">English</a></td>
</tr>
<tr>
<td>234. Killiyoor
</td>
<td><a target="_blank" href="PSLIST_30032024/dt30/Tamil/AC234.pdf" title="234. Killiyoor Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt30/English/AC234.pdf" title="234. Killiyoor English">English</a></td>
</tr>
<tr>
<td rowspan="2" style="vertical-align: middle; text-align: center">31</td>
<td rowspan="2" style="vertical-align: middle">ARIYALUR</td>
<td>149. Ariyalur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt31/Tamil/AC149.pdf" title="149. Ariyalur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt31/English/AC149.pdf" title="149. Ariyalur English">English</a></td>
</tr>
<tr>
<td>150. Jayankondam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt31/Tamil/AC150.pdf" title="150. Jayankondam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt31/English/AC150.pdf" title="150. Jayankondam English">English</a></td>
</tr>
<tr>
<td rowspan="8" style="vertical-align: middle; text-align: center">32</td>
<td rowspan="8" style="vertical-align: middle">TIRUPPUR</td>
<td>101. Dharapuram
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC101.pdf" title="101. Dharapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC101.pdf" title="101. Dharapuram English">English</a></td>
</tr>
<tr>
<td>102. Kangayam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC102.pdf" title="102. Kangayam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC102.pdf" title="102. Kangayam English">English</a></td>
</tr>
<tr>
<td>112. Avanashi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC112.pdf" title="112. Avanashi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC112.pdf" title="112. Avanashi English">English</a></td>
</tr>
<tr>
<td>113. Tiruppur (North)
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC113.pdf" title="113. Tiruppur (North) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC113.pdf" title="113. Tiruppur (North) English">English</a></td>
</tr>
<tr>
<td>114. Tiruppur (South)
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC114.pdf" title="114. Tiruppur (South) Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC114.pdf" title="114. Tiruppur (South) English">English</a></td>
</tr>
<tr>
<td>115. Palladam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC115.pdf" title="115. Palladam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC115.pdf" title="115. Palladam English">English</a></td>
</tr>
<tr>
<td>125. Udumalaipettai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC125.pdf" title="125. Udumalaipettai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC125.pdf" title="125. Udumalaipettai English">English</a></td>
</tr>
<tr>
<td>126. Madathukulam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt32/Tamil/AC126.pdf" title="126. Madathukulam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt32/English/AC126.pdf" title="126. Madathukulam English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">33</td>
<td rowspan="4" style="vertical-align: middle">KALLAKURICHI</td>
<td>77. Ulundurpettai</td>
<td><a target="_blank" href="PSLIST_30032024/dt33/Tamil/AC077.pdf" title="77. Ulundurpettai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt33/English/AC077.pdf" title="77. Ulundurpettai English">English</a></td>
</tr>
<tr>
<td>78. Rishivandiyam</td>
<td><a target="_blank" href="PSLIST_30032024/dt33/Tamil/AC078.pdf" title="78. Rishivandiyam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt33/English/AC078.pdf" title="78. Rishivandiyam English">English</a></td>
</tr>
<tr>
<td>79. Sankarapuram</td>
<td><a target="_blank" href="PSLIST_30032024/dt33/Tamil/AC079.pdf" title="79. Sankarapuram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt33/English/AC079.pdf" title="79. Sankarapuram English">English</a></td>
</tr>
<tr>
<td>80. Kallakurichi</td>
<td><a target="_blank" href="PSLIST_30032024/dt33/Tamil/AC080.pdf" title="80. Kallakurichi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt33/English/AC080.pdf" title="80. Kallakurichi English">English</a></td>
</tr>
<tr>
<td rowspan="5" style="vertical-align: middle; text-align: center">34</td>
<td rowspan="5" style="vertical-align: middle">TENKASI</td>
<td>219. Sankarankovil
</td>
<td><a target="_blank" href="PSLIST_30032024/dt34/Tamil/AC219.pdf" title="219. Sankarankovil Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt34/English/AC219.pdf" title="219. Sankarankovil English">English</a></td>
</tr>
<tr>
<td>220. Vasudevanallur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt34/Tamil/AC220.pdf" title="220. Vasudevanallur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt34/English/AC220.pdf" title="220. Vasudevanallur English">English</a></td>
</tr>
<tr>
<td>221. Kadayanallur
</td>
<td><a target="_blank" href="PSLIST_30032024/dt34/Tamil/AC221.pdf" title="221. Kadayanallur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt34/English/AC221.pdf" title="221. Kadayanallur English">English</a></td>
</tr>
<tr>
<td>222. Tenkasi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt34/Tamil/AC222.pdf" title="222. Tenkasi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt34/English/AC222.pdf" title="222. Tenkasi English">English</a></td>
</tr>
<tr>
<td>223. Alangulam
</td>
<td><a target="_blank" href="PSLIST_30032024/dt34/Tamil/AC223.pdf" title="223. Alangulam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt34/English/AC223.pdf" title="223. Alangulam English">English</a></td>
</tr>
<tr>
<td rowspan="7" style="vertical-align: middle; text-align: center">35</td>
<td rowspan="7" style="vertical-align: middle">CHENGALPATTU</td>
<td>27. Shozhinganallur</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC027.pdf" title="27. Shozhinganallur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC027.pdf" title="27. Shozhinganallur English">English</a></td>
</tr>
<tr>
<td>30. Pallavaram</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC030.pdf" title="30. Pallavaram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC030.pdf" title="30. Pallavaram English">English</a></td>
</tr>
<tr>
<td>31. Tambaram</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC031.pdf" title="31. Tambaram Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC031.pdf" title="31. Tambaram English">English</a></td>
</tr>
<tr>
<td>32. Chengalpattu</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC032.pdf" title="32. Chengalpattu Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC032.pdf" title="32. Chengalpattu English">English</a></td>
</tr>
<tr>
<td>33. Thiruporur</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC033.pdf" title="33. Thiruporur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC033.pdf" title="33. Thiruporur English">English</a></td>
</tr>
<tr>
<td>34. Cheyyur</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC034.pdf" title="34. Cheyyur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC034.pdf" title="34. Cheyyur English">English</a></td>
</tr>
<tr>
<td>35. Madurantakam</td>
<td><a target="_blank" href="PSLIST_30032024/dt35/Tamil/AC035.pdf" title="35. Madurantakam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt35/English/AC035.pdf" title="35. Madurantakam English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">36</td>
<td rowspan="4" style="vertical-align: middle">THIRUPATHUR</td>
<td>47. Vaniyambadi</td>
<td><a target="_blank" href="PSLIST_30032024/dt36/Tamil/AC047.pdf" title="47. Vaniyambadi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt36/English/AC047.pdf" title="47. Vaniyambadi English">English</a></td>
</tr>
<tr>
<td>48. Ambur</td>
<td><a target="_blank" href="PSLIST_30032024/dt36/Tamil/AC048.pdf" title="48. Ambur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt36/English/AC048.pdf" title="48. Ambur English">English</a></td>
</tr>
<tr>
<td>49. Jolarpet</td>
<td><a target="_blank" href="PSLIST_30032024/dt36/Tamil/AC049.pdf" title="49. Jolarpet Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt36/English/AC049.pdf" title="49. Jolarpet English">English</a></td>
</tr>
<tr>
<td>50. Tirupattur</td>
<td><a target="_blank" href="PSLIST_30032024/dt36/Tamil/AC050.pdf" title="50. Tirupattur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt36/English/AC050.pdf" title="50. Tirupattur English">English</a></td>
</tr>
<tr>
<td rowspan="4" style="vertical-align: middle; text-align: center">37</td>
<td rowspan="4" style="vertical-align: middle">RANIPET</td>
<td>38. Arakkonam</td>
<td><a target="_blank" href="PSLIST_30032024/dt37/Tamil/AC038.pdf" title="38. Arakkonam Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt37/English/AC038.pdf" title="38. Arakkonam English">English</a></td>
</tr>
<tr>
<td>39. Sholingur</td>
<td><a target="_blank" href="PSLIST_30032024/dt37/Tamil/AC039.pdf" title="39. Sholingur Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt37/English/AC039.pdf" title="39. Sholingur English">English</a></td>
</tr>
<tr>
<td>41. Ranipet</td>
<td><a target="_blank" href="PSLIST_30032024/dt37/Tamil/AC041.pdf" title="41. Ranipet Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt37/English/AC041.pdf" title="41. Ranipet English">English</a></td>
</tr>
<tr>
<td>42. Arcot</td>
<td><a target="_blank" href="PSLIST_30032024/dt37/Tamil/AC042.pdf" title="42. Arcot Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt37/English/AC042.pdf" title="42. Arcot English">English</a></td>
</tr>
<tr>
<td rowspan="3" style="vertical-align: middle; text-align: center">38</td>
<td rowspan="3" style="vertical-align: middle">MAYILADUTHURAI</td>
<td>160. Sirkazhi
</td>
<td><a target="_blank" href="PSLIST_30032024/dt38/Tamil/AC160.pdf" title="160. Sirkazhi Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt38/English/AC160.pdf" title="160. Sirkazhi English">English</a></td>
</tr>
<tr>
<td>161. Mayiladuthurai
</td>
<td><a target="_blank" href="PSLIST_30032024/dt38/Tamil/AC161.pdf" title="161. Mayiladuthurai Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt38/English/AC161.pdf" title="161. Mayiladuthurai Tamil">English</a></td>
</tr>
<tr>
<td>162. Poompuhar
</td>
<td><a target="_blank" href="PSLIST_30032024/dt38/Tamil/AC162.pdf" title="162. Poompuhar Tamil">Tamil</a></td>
<td><a target="_blank" href="PSLIST_30032024/dt38/English/AC162.pdf" title="162. Poompuhar English">English</a></td>
</tr>
</tbody>
</table>"
|
814f583621bc449b68ebd42f87ddfedf
|
{
"intermediate": 0.35507360100746155,
"beginner": 0.4471330940723419,
"expert": 0.19779333472251892
}
|
47,361
|
Hi
|
13f2e1966ad60598dbf102b97bd6b0d3
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
47,362
|
#version 330 core
uniform vec2 iResolution; /* window resolution */
uniform float iTime; /* time */
uniform int iFrame; /* frame index */
in vec2 fragCoord; /* screen space coordinate */
out vec4 outputColor; /* output color */
/////////////////////////////////////////////////////
//// Macro definition for time: this is the actual time you use for your animation
/////////////////////////////////////////////////////
//// You may adjust the multipler below to make the animaiton run fast (by increasing the value)
//// or run slower (by decreasing the value), according to your needs (it varies on different laptops).
//// We set the default value to be 1.0.
/////////////////////////////////////////////////////
#define Time (iTime*1.0)
#define PI 3.14159265359
#define TWO_PI 6.28318530718
#define Gravity 0.7 /* gravity */
#define NUM_STAR 30. /* number of stars on the sky */
#define NUM_EMISSION 30. /* number of emission particles */
#define NUM_FIREWORKS 5 /* number of fireworks */
#define DURATION 3. /* duration of each fireworks period */
const vec2 g = vec2(.0, -Gravity); /* gravity */
/////////////////////////////////////////////////////
//// Hash functions
/////////////////////////////////////////////////////
//// This hash function takes input t and returns random float between 0 and 1
float hash1d(float t)
{
t += 1.;
return fract(sin(t * 674.3) * 453.2);
}
//// This hash function takes input t and returns random vec2 with each component between 0 and 1
vec2 hash2d(float t)
{
t += 1.;
float x = fract(sin(t * 674.3) * 453.2);
float y = fract(sin((t + x) * 714.3) * 263.2);
return vec2(x, y);
}
//// This hash function takes input t and returns random vec3 with each component between 0 and 1
vec3 hash3d(float t)
{
t += 1.;
float x = fract(sin(t * 674.3) * 453.2);
float y = fract(sin((t + x) * 714.3) * 263.2);
float z = fract(sin((t + y) * 134.3) * 534.2);
return vec3(x, y, z);
}
//// This hash function takes input t and returns a random vec2 on a circle
vec2 hash2d_polar(float t)
{
t += 1.;
float a = fract(sin(t * 674.3) * 453.2) * TWO_PI;
float d = fract(sin((t + a) * 714.3) * 263.2);
return vec2(sin(a), cos(a)) * d;
}
/////////////////////////////////////////////////////
//// Step 1: render a single particle
//// In this function, you are asked to implement the rendering of a single particle onto the screen.
//// The task is to calculate the distance between the current fragment and the particle (both in 2D),
//// and then use the distance to build a decay function f(d)=1/d, and multiply the function value with brightness and color
//// to calculate the fragment color value.
/////////////////////////////////////////////////////
vec3 renderParticle(vec2 fragPos, vec2 particlePos, float brightness, vec3 color)
{
vec3 fragColor = vec3(0.0);
/* your implementation starts */
float distance = length(fragPos - particlePos);
float decay = 1.0 / distance;
fragColor = decay * brightness * color;
/* your implementation ends */
return fragColor;
}
/////////////////////////////////////////////////////
//// Step 2: render the starry sky with multiple particles
//// In this function, you are asked to implement the rendering of a starry sky with multiple particles.
//// Your tasks include three parts within the for-loop that traverses all the stars:
//// (1) produce a time-varying brightness by using the variable t and the default value (0.0004).
//// (2) come up with a color for each star (it can be random or uniform, up to your preference);
//// (3) call the renderParticle function you've implemented in the previous steps with the appropriate parameters
//// and accumulate the result to fragColor.
//// After implementing this function, uncomment the Step 2 block in mainImage() to testify its correctness.
//// You should be able to see a starry sky with blinking stars if everything is implemented correctly.
/////////////////////////////////////////////////////
vec3 renderStars(vec2 fragPos)
{
vec3 fragColor = vec3(0.01, 0.04, 0.3);
float t = Time;
for(float i = 0.; i < NUM_STAR; i++){
vec2 pos = hash2d(i) * 2. - 1.;
float brightness = .0004;
/* your implementation starts */
brightness *= 0.5 + 0.5 * sin(Time + i * 0.3);
vec3 color = vec3(hash1d(i + 10.), hash1d(i + 20.), hash1d(i + 30.));
fragColor += renderParticle(fragPos, pos, brightness, color);
/* your implementation ends */
}
return fragColor;
}
/////////////////////////////////////////////////////
//// Step 3A: simulate the motion of a single particle by programming ballistic motion
//// In this function, you are asked to calculate the position of the particle using the expression of ballistic motion.
//// The function takes the initial position, initial velocity, and time t as input, and returns the particle's current location.
/////////////////////////////////////////////////////
vec2 moveParticle(vec2 initPos, vec2 initVel, float t)
{
vec2 currentPos = initPos;
/* your implementation starts */
/* your implementation ends */
return currentPos;
}
/////////////////////////////////////////////////////
//// Step 3B: putting simulation and rendering together in one function call
//// In this function, you will practice to combine the animaiton and rendering functions together
//// by calling moveParticle() and renderParticle() you have implemented to calculate the fragment color.
//// The idea is to update the particle's current position with moveParticle() first,
//// and then use this position as an input for renderParticles() to calculate the fragment color.
//// After implementing both Step 3A and 3B, you want to testify its correctness by uncommenting Step 3 in mainImage().
//// The expected result is the animation of a single particle that moves along a ballistic trajectory.
/////////////////////////////////////////////////////
vec3 simSingleParticle(vec2 fragPos, vec2 initPos, vec2 initVel, float t, float brightness, vec3 color)
{
vec3 fragColor = vec3(0.0);
/* your implementation starts */
/* your implementation ends */
return fragColor;
}
/////////////////////////////////////////////////////
//// Step 4: simulating fireworks
//// You will implement the animation of a fireworks explosion in this function.
//// The key idea is to separate the animation into two phases.
//// For Phase I, we animate a single "boss particle" that follows a ballistic trajectory.
//// For Phase II, we spawn a number of emitting particles based on the position of the boss particle at the emitTime,
//// and then simulate the trajectory of each emitting particle starting from the emitPos, with a random emitVel, using emitT.
//// The simulation is implemented by calling the function simSingleParticle you have implemented from the previous step.
//// The color returned from the function call needs to be accumulated to fragColor that will be returned as the fragment color.
//// Your implementation will be focused on the Phase II part,
//// in which you need to update the emitting particle's brightness to show some flickering and fading effects,
//// and call simSingleParticle() with appropriate parameters to accumulate its color to the fragment.
//// After implementing this step, you can test the fireworks effect by uncommenting the block of Step 4 in mainImage().
/////////////////////////////////////////////////////
vec3 simSingleFirework(vec2 fragPos, vec2 launchPos, vec2 launchVel, float t, vec3 color)
{
vec3 fragColor = vec3(0.0);
float emitTime = 1.5;
if(t < emitTime){
float brightness = .002;
vec2 initPos = launchPos;
vec2 initVel = launchVel;
fragColor += simSingleParticle(fragPos, initPos, initVel, t, brightness, color);
}
else{
float emitT = t - emitTime; // time since emission
vec2 emitPos = moveParticle(launchPos, launchVel, emitTime);
for(float i = 0.; i < NUM_EMISSION; i++){
vec2 emitVel = hash2d_polar(i) * .7; // random direction with max magnitude 0.7
/* your implementation starts */
/* your implementation ends */
}
}
return fragColor;
}
vec3 renderFireworks(vec2 fragPos)
{
vec3 fragColor = vec3(0.0);
for(float i = 0.; i < NUM_FIREWORKS; i++){
float lauchTime = i;
float relTime = Time - lauchTime;
float t = mod(relTime, DURATION);
float idx = floor(relTime / DURATION);
vec2 launchPos = vec2((hash1d(idx) * 2. - 1.) * 0.7, -0.5);
vec2 launchVel = vec2(-launchPos.x * 0.66, hash1d(lauchTime + 1.) * 0.3 + .9);
vec3 color = sin(40. * hash3d(lauchTime) * idx) * 0.25 + 0.75;
fragColor += simSingleFirework(fragPos, launchPos, launchVel, t, color);
}
return fragColor;
}
void mainImage(out vec4 outputColor, in vec2 fragCoord)
{
//// fragPos's center is at the center of the screen, fragPos.y range is [-0.5, 0.5]
vec2 fragPos = (fragCoord - .5 * iResolution.xy) / iResolution.y;
vec3 fragColor = vec3(0.0);
//// Step 1: render single particle
//{
// vec2 pos = vec2(0., 0.);
// float brightness = 0.005;
// vec3 color = vec3(0.15, 0.71, 0.92);
// fragColor = renderParticle(fragPos, pos, brightness, color);
//}
//// Step 2: render starry sky
// Uncomment the following block to test your Step 2 implementation
//{
// fragColor = renderStars(fragPos);
// }
//// Step 3: simulate single particle
//// Uncomment the following block to test your Step 3 implementation
{
vec2 initPos = vec2(-0.5, -0.5);
vec2 initVel = vec2(0.4, 1.);
float t = mod(Time, DURATION);
float brightnes = .005;
vec3 color = vec3(0.15, 0.71, 0.92);
fragColor = renderStars(fragPos) + simSingleParticle(fragPos, initPos, initVel, t, brightnes, color);
}
//// Step 4: simulate fireworks
//// Uncomment the following block to test your Step 4 implementation
//{
// fragColor = renderStars(fragPos) + renderFireworks(fragPos);
//}
outputColor = vec4(fragColor, 1.0);
}
void main()
{
mainImage(outputColor, fragCoord);
}
gimme the code for step 3A and step 3B
|
453cf0251c869714b4576427e7c2d24f
|
{
"intermediate": 0.4705016314983368,
"beginner": 0.3631950616836548,
"expert": 0.1663033664226532
}
|
47,363
|
docker run -it -d --init --name kimi-free-api -p 8000:8000 -e TZ=Asia/Shanghai vinlic/kimi-free-api:latest 我希望部署到hugingface space中该如何操作
|
bc978450176ded80f06184cbab4d58d9
|
{
"intermediate": 0.45879441499710083,
"beginner": 0.2648882269859314,
"expert": 0.27631741762161255
}
|
47,364
|
как можно улучшить таблицы? например, задать диапазон допустимого возраста в таблице сотрудников и так далее
CREATE DATABASE FSS;
USE FSS;
-- Таблица типов ресурсов --
CREATE TABLE ResourceType
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
ResourceType VARCHAR(20) NOT NULL
);
-- Таблица ресурсов --
CREATE TABLE Resources
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
ResourceName VARCHAR(50) NOT NULL,
ResourceType INT NOT NULL,
FOREIGN KEY (ResourceType) REFERENCES ResourceType (Id)
);
-- Таблица должностей --
CREATE TABLE Positions
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
PositionName VARCHAR(20) NOT NULL
);
-- Таблица доступа --
CREATE TABLE Permissions
(
Id INT PRIMARY KEY AUTO_INCREMENT,
ResourceId INT NOT NULL,
PositionId INT NOT NULL,
FOREIGN KEY (ResourceId) REFERENCES Resources (Id),
FOREIGN KEY (PositionId) REFERENCES Positions (Id)
);
-- Таблица отделов --
CREATE TABLE Departaments
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
DepartamentName VARCHAR(50) NOT NULL
);
-- Таблица начальников департаментов --
CREATE TABLE Heads
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
HeadName VARCHAR(50) NOT NULL,
DepartamentId INT NOT NULL,
FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id)
);
-- Таблица задач --
CREATE TABLE Tasks
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
TaskName VARCHAR(50) NOT NULL,
TaskDescription TINYTEXT,
HeadId INT NOT NULL,
FOREIGN KEY (HeadId) REFERENCES Heads (Id)
);
-- Таблица сотрудников --
CREATE TABLE Employees
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
FullName VARCHAR(100) NOT NULL,
Age INT NOT NULL,
UserPassword VARCHAR(50) NOT NULL,
Phone VARCHAR(20) UNIQUE,
PositionId INT NOT NULL,
DepartamentId INT NOT NULL,
TaskId INT NOT NULL,
FOREIGN KEY (PositionId) REFERENCES Positions (Id),
FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id),
FOREIGN KEY (TaskId) REFERENCES Tasks (Id)
);
|
7edbe0d17c7321764825b4a96396ddef
|
{
"intermediate": 0.29528525471687317,
"beginner": 0.4137286841869354,
"expert": 0.2909860610961914
}
|
47,365
|
beverages
id current_year expiration_year
1 145 2013 2014
2 156 2001 2015
3 167 2009 2004
4 178 2005 2000
5 124 2013 2006
6 189 2002 2014
7 198 2007 2013
8 201 2004 2007
9 206 2000 2000
10 112 2011 2002
11 209 2008 2004
12 125 2015 2012
13 980 2008 2005
14 402 2010 2011
15 391 2008 2009
16 144 2015 2013
17 213 2014 2007
18 100 2001 2000
19 145 2002 2004
20 981 2011 2014
21 210 2002 2007
22 392 2010 2006
23 393 2007 2013
24 113 2010 2002
25 255 2001 2008
Your bar stocks a vast selection of juices, some of which have expired. Identify and sort these juices based on how they should be processed, according to the following criteria:
Old Expired Juices: These are juices where the expiration year is more than 6 years before the current year. These should be recycled.
Almost Expired Juices: These are juices expiring this year or the next year. These can be sent for renewal.
Extract the IDs of juices that are either old expired or almost expired. Sort the results based on the urgency of their processing needs, with those needing immediate attention (greater difference between current year and expiration year) first.
Rename the ID column to `to_renew` in your output in SQL
|
8fba67b8a81799a9cfdd291779377fbd
|
{
"intermediate": 0.38776057958602905,
"beginner": 0.2933851480484009,
"expert": 0.3188542127609253
}
|
47,366
|
FROM node:lts AS BUILD_IMAGE
WORKDIR /app
COPY . /app
RUN yarn install --registry https://registry.npmmirror.com/ && yarn run build
FROM node:lts-alpine
COPY --from=BUILD_IMAGE /app/configs /app/configs
COPY --from=BUILD_IMAGE /app/package.json /app/package.json
COPY --from=BUILD_IMAGE /app/dist /app/dist
COPY --from=BUILD_IMAGE /app/public /app/public
COPY --from=BUILD_IMAGE /app/node_modules /app/node_modules
WORKDIR /app
EXPOSE 8000
CMD ["npm", "start"] 我希望将这个docker部署在huggingface space上，但需要做适当的修改，因为space中我只有当前普通user、
|
26b3d5c53f14456e390a0004faddd436
|
{
"intermediate": 0.38953712582588196,
"beginner": 0.2375582605600357,
"expert": 0.3729046881198883
}
|
47,367
|
c# i have modular system, i have interface with events and i want somehaw to call them from other parts of code, best way to do it?
|
e7693a5a812e2842b72384a0ef88075a
|
{
"intermediate": 0.710861325263977,
"beginner": 0.16955451667308807,
"expert": 0.11958417296409607
}
|
47,368
|
Answer All Questions. Steps & assumptions must be clearly shown and defined.
Question # 1
A small grocery has only one checkout counter. Customers arrive at this checkout counter at random from 1 to
8 minutes apart. Each possible value of inter-arrival time has the same probability of occurrence. The service
times vary from 1 to 6 minutes with the probabilities shown in the following table. Analyze the system by
simulating the arrival and service of 30 customers.
Service time in min. 1 2 3 4 5 6
Probability 0.05 0.1 0.2 0.3 0.25 0.1
|
93a42cd1b3a89791ca438b52d7ec99d0
|
{
"intermediate": 0.3351367115974426,
"beginner": 0.3256554901599884,
"expert": 0.33920788764953613
}
|
47,369
|
explain
|
ac7349e33034380f1380da269afd52b9
|
{
"intermediate": 0.3545367121696472,
"beginner": 0.31888994574546814,
"expert": 0.32657337188720703
}
|
47,370
|
Hi how to install Apache AirFlow on windows 10 in VS Code without Docker
|
951425b1c3d1af749e61179e6ce51c33
|
{
"intermediate": 0.803456723690033,
"beginner": 0.07562074065208435,
"expert": 0.12092258036136627
}
|
47,371
|
rust analyzer
|
0b156606b5cc0dd8a45efba4591ce548
|
{
"intermediate": 0.33536234498023987,
"beginner": 0.41477665305137634,
"expert": 0.2498610019683838
}
|
47,372
|
Give me few examples on javascript functions
|
aa77b6304632f5dd245debfb4c7f2488
|
{
"intermediate": 0.20776008069515228,
"beginner": 0.7119536995887756,
"expert": 0.08028621226549149
}
|
47,373
|
Команда
airflow db init
Ошибка
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "C:\Users\ivanm\AirFlowExample\airflow_env\Scripts\airflow.exe\__main__.py", line 4, in <module>
File "C:\Users\ivanm\AirFlowExample\airflow_env\Lib\site-packages\airflow\__init__.py", line 61, in <module>
settings.initialize()
File "C:\Users\ivanm\AirFlowExample\airflow_env\Lib\site-packages\airflow\settings.py", line 536, in initialize
configure_orm()
File "C:\Users\ivanm\AirFlowExample\airflow_env\Lib\site-packages\airflow\settings.py", line 238, in configure_orm
raise AirflowConfigException(
airflow.exceptions.AirflowConfigException: Cannot use relative path: `sqlite:///C:\Users\ivanm/airflow/airflow.db` to connect to sqlite. Please use absolute path such as `sqlite:////tmp/airflow.db`.
Устанавливаю через Windows в VS Code
|
aba73ad6b4d5d627a67155858f3c972b
|
{
"intermediate": 0.43570396304130554,
"beginner": 0.27391016483306885,
"expert": 0.2903858423233032
}
|
47,374
|
how to check if a value in array is present in javascript array
|
674a6115244ee718dfe031cb843a709b
|
{
"intermediate": 0.6078720092773438,
"beginner": 0.15175123512744904,
"expert": 0.2403767704963684
}
|
47,375
|
how do I build soundcloud9000 on my arm fedora ayatem? it looks like ot uses ruby and gem
|
70ff03cf5c1cdfc035c5f8a21f85b326
|
{
"intermediate": 0.6800915002822876,
"beginner": 0.15583516657352448,
"expert": 0.16407333314418793
}
|
47,376
|
im training a model using tensorflow in vscode and and jupyter notebook
currently the training is in the following state :
...
68/68 [==============================] - 2s 24ms/step - loss: 0.0523 - mae: 0.1243 - val_loss: 0.1182 - val_mae: 0.1455
Epoch 11810/16000
68/68 [==============================] - 2s 24ms/step - loss: 0.0515 - mae: 0.1240 - val_loss: 0.1177 - val_mae: 0.1455
Epoch 11811/16000
68/68 [==============================] - 2s 25ms/step - loss: 0.0518 - mae: 0.1241 - val_loss: 0.1176 - val_mae: 0.1454
the starting was:
Epoch 11810/16000
68/68 [==============================] - 2s 24ms/step - loss: 1.0515 - mae: 1.0240 - val_loss: 1.7277 - val_mae: 0.9455
if i currently interupt the training cell and stop it what would be the model current loss ?
would it be save last learned 68/68 [==============================] - 2s 25ms/step - loss: 0.0518 - mae: 0.1241 - val_loss: 0.1176 - val_mae: 0.1454
or it will be in starting state?
|
bb996bab175a33d6b60ce1ac87bb8810
|
{
"intermediate": 0.3151707649230957,
"beginner": 0.08336666226387024,
"expert": 0.6014626026153564
}
|
47,377
|
Corregir el siguiente código: "import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error
from statsmodels.tsa.arima.model import ARIMA
import ray
# Check if ray is already initialized, if not initialize it
if not ray.is_initialized():
ray.init()
# Función para generar una serie temporal con Arima
def generate_series(n_samples=100):
np.random.seed(42)
# Simular datos de una serie temporal
arima_params = dict(p=5, d=0, q=3) # Se indica que es estacional
series = ARIMA(endog=np.random.randn(n_samples), order=(arima_params['p'], arima_params['d'], arima_params['q'])).fit().predict()
return pd.Series(series, name='Time Series')
# Generamos la serie temporal
original_series = generate_series()
print(f"Original series: \\n{original_series}\\\\n")
# Implementación con Ray Tune
@ray.remote(num_gpus=1) # Utilizaremos un GPU
class Tuner:
def __init__(self, dataset_size):
self.series = generate_series(dataset_size)
self.hyperparameters = {
'p': tune.uniform(0, 5), # Order of autoregressive process
'd': tune.randint(-1, 1), # Difference between lags
'q': tune.randint(0, 5), # Seasonal order
}
def tune(self, n_trials):
tuning_result = tune.run(
fn=self.train_and_predict,
resources={'gpu': 1}, # Utilizaremos un GPU
config=self.hyperparameters,
num_samples=n_trials,
verbose=0,
)
best_trial = tuning_result.best_trial
self.hyperparameters.update(best_trial.config)
return tuning_result
def train_and_predict(self, hyperparams):
fitted_model = ARIMA(endog=np.random.randn(len(self.series)), order=(hyperparams['p'], hyperparams['d'], hyperparams['q'])).fit()
predictions = fitted_model.predict(start=len(self.series) - hyperparams['d'] - hyperparams['q'], end=len(self.series))
return mean_squared_error(self.series, predictions), predictions
tuner = Tuner(dataset_size=1000)
results = tuner.tune(n_trials=50)
print(f"Best hyperparameters found: {results.best_trial.config}")"
|
aa0494f837ad72e7edb94bb9cb46ce33
|
{
"intermediate": 0.32286009192466736,
"beginner": 0.3573289215564728,
"expert": 0.3198109567165375
}
|
47,378
|
tell me what you know about stable diffusion prompt engineering.
What does <> do
what does / do
what does \ do
|
86f3071eac03d095735538017a5b889c
|
{
"intermediate": 0.23139800131320953,
"beginner": 0.4730970561504364,
"expert": 0.29550495743751526
}
|
47,379
|
сделай так, чтобы в таблице начальников департаментов были их должности из таблицы сотрудников
DROP DATABASE FSS;
CREATE DATABASE FSS;
USE FSS;
-- Таблица типов ресурсов --
CREATE TABLE ResourceType
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
ResourceType VARCHAR(20) NOT NULL
);
-- Таблица ресурсов --
CREATE TABLE Resources
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
ResourceName VARCHAR(50) NOT NULL,
ResourceType INT NOT NULL,
FOREIGN KEY (ResourceType) REFERENCES ResourceType (Id)
);
-- Таблица должностей --
CREATE TABLE Positions
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
PositionName VARCHAR(20) NOT NULL
);
-- Таблица доступа --
CREATE TABLE Permissions
(
Id INT PRIMARY KEY AUTO_INCREMENT,
ResourceId INT NOT NULL,
PositionId INT NOT NULL,
FOREIGN KEY (ResourceId) REFERENCES Resources (Id),
FOREIGN KEY (PositionId) REFERENCES Positions (Id)
);
-- Таблица отделов --
CREATE TABLE Departaments
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
DepartamentName VARCHAR(50) NOT NULL,
DepDescription TINYTEXT NOT NULL
);
-- Таблица начальников департаментов --
CREATE TABLE Heads
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
HeadName VARCHAR(100) NOT NULL,
DepartamentId INT NOT NULL,
FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id)
);
-- Таблица задач --
CREATE TABLE Tasks
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
TaskName VARCHAR(50) NOT NULL,
TaskDescription TINYTEXT,
HeadId INT NOT NULL,
FOREIGN KEY (HeadId) REFERENCES Heads (Id)
);
-- Таблица сотрудников --
CREATE TABLE Employees
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
FullName VARCHAR(100) NOT NULL,
Age INT NOT NULL,
UserPassword VARCHAR(50) NOT NULL,
Phone VARCHAR(20) UNIQUE,
PositionId INT NOT NULL,
DepartamentId INT NOT NULL,
TaskId INT NOT NULL,
FOREIGN KEY (PositionId) REFERENCES Positions (Id),
FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id),
FOREIGN KEY (TaskId) REFERENCES Tasks (Id)
);
-- Дамп данных в таблицу Типов ресурсов --
INSERT ResourceType(ResourceType)
VALUES
('Изображение'),
('Текстовый документ'),
('Исполняемый файл'),
('База данных'),
('Директория'),
('Архив');
-- Дамп данных в таблицу Ресурсов --
INSERT Resources(ResourceName, ResourceType)
VALUES
('Положение об обновлении правил порядка', 2),
('Расписание отдела', 1),
('ПО для настройки рации', 3),
('Сотрудники отдела безопасности', 4),
('Директория с задачами на ближайщую неделю', 5);
-- Дамп данных в таблицу Должностей --
INSERT Positions(PositionName)
VALUES
('Рядовой'),
('Сержант'),
('Лейтенант'),
('Капитан'),
('Майор'),
('Полковник'),
('Директор'),
('Руководство Отделов');
-- Дамп данных в таблицу Доступа --
INSERT Permissions(ResourceId, PositionId)
VALUES
(1, 1),
(2, 3),
(3, 4),
(4, 7),
(5, 7),
(3, 7),
(2, 7),
(1, 7);
-- Дамп данных в таблицу Отделов --
INSERT Departaments(DepartamentName)
VALUES
('ФСБ России'),
('Территориальные органы безопасности'),
('Органы безопасности в войсках'),
('Пограничные органы'),
('Авиационные подразделения'),
('Образовательные организации'),
('Подразделения специального назначения'),
('Научные подразделения'),
('Судебно-экспертные подразделения'),
('Военно-медицинские подразделения');
-- Дамп данных в таблицу Начальников департаментов --
INSERT Heads(HeadName, DepartamentId)
VALUES
('Королев Сергей Борисович', 1),
('Кулишов Владимир Григорьевич', 7),
('Купряжкин Александр Николаевич', 3),
('Сироткин Игорь Геннадьевич', 2);
-- Дамп данных в таблицу Задач --
INSERT Tasks(TaskName, TaskDescription, HeadId)
VALUES
('Проверка системы видеонаблюдения', 'Провести техническую проверку и обновление ПО систем видеонаблюдения в здании ФСБ', 1),
('Анализ киберугроз', 'Проанализировать актуальные киберугрозы и подготовить отчет о мерах по усилению защиты информационных систем', 2),
('Учения по антитеррору', 'Организовать и провести учения с персоналом по действиям в условиях возникновения террористической угрозы', 3),
('Аудит доступа к ресурсам', 'Провести аудит распределения доступов к системам и ресурсам, убедиться в соответствии полномочий', 4);
-- Дамп данных в таблицу Сотрудников --
INSERT Employees(FullName, Age, UserPassword, Phone, PositionId, DepartamentId, TaskId)
VALUES
('Иванов Иван Иванович', 35, 'pass123', '89031234567', 4, 1, 1),
('Петров Петр Петрович', 40, 'pass124', '89031234568', 5, 2, 2),
('Смит Джон Робертович', 38, 'pass125', '89031234569', 6, 3, 3),
('Алексеева Алла Борисовна', 29, 'pass126', '89031234560', 7, 4, 4);
|
8c3baba8b0580fd7393b5db05fa0bb01
|
{
"intermediate": 0.3293781280517578,
"beginner": 0.4526720643043518,
"expert": 0.21794985234737396
}
|
47,380
|
def TopSpendCustomers():
Transactions={}
maxamount=0
maxguy=None
max2amount=0
max2guy=None
for _, value in summary.items():
if value[2] not in summary.items():
Transactions[value[2]]=int(value[3])
else:
Transactions[value[2]]+=int(value[3])
for key, value in Transactions.items():
if maxamount==0 or value>maxamount:
maxamount=value
maxguy=key
elif max2amount==0 or maxamount<value<max2amount:
max2amount=value
max2guy=key
Why is max2guy and maxguy inaccessible in python?
|
65b869903fa82708f358bfe1c1473c40
|
{
"intermediate": 0.4236721694469452,
"beginner": 0.3077838718891144,
"expert": 0.2685439884662628
}
|
47,381
|
сделай так, чтобы каждый сотрудник мог иметь много задач. Сделай так, чтобы EmpNum в таблице отделов считал количество сотрудников из таблицы сотрудников
DROP DATABASE FSS;
CREATE DATABASE FSS;
USE FSS;
-- Таблица типов ресурсов --
CREATE TABLE ResourceType
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
ResourceType VARCHAR(20) NOT NULL
);
-- Таблица ресурсов --
CREATE TABLE Resources
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
ResourceName VARCHAR(50) NOT NULL,
ResourceType INT NOT NULL,
FOREIGN KEY (ResourceType) REFERENCES ResourceType (Id)
);
-- Таблица должностей --
CREATE TABLE Positions
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
PositionName VARCHAR(20) NOT NULL
);
-- Таблица доступа --
CREATE TABLE Permissions
(
Id INT PRIMARY KEY AUTO_INCREMENT,
ResourceId INT NOT NULL,
PositionId INT NOT NULL,
FOREIGN KEY (ResourceId) REFERENCES Resources (Id),
FOREIGN KEY (PositionId) REFERENCES Positions (Id)
);
-- Таблица отделов --
CREATE TABLE Departaments
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
DepartamentName VARCHAR(50) NOT NULL,
DepDescription TINYTEXT NOT NULL,
EmpNum INT NOT NULL
);
-- Таблица начальников департаментов --
CREATE TABLE Heads
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
HeadName VARCHAR(100) NOT NULL,
DepartamentId INT NOT NULL,
PositionId INT NOT NULL,
FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id),
FOREIGN KEY (PositionId) REFERENCES Positions (Id)
);
-- Таблица задач --
CREATE TABLE Tasks
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
TaskName VARCHAR(50) NOT NULL,
TaskDescription TINYTEXT,
HeadId INT NOT NULL,
FOREIGN KEY (HeadId) REFERENCES Heads (Id)
);
-- Таблица сотрудников --
CREATE TABLE Employees
(
Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
FullName VARCHAR(100) NOT NULL,
Age INT NOT NULL,
Login VARCHAR(30) NOT NULL,
UserPassword VARCHAR(50) NOT NULL,
Phone VARCHAR(20) UNIQUE,
PositionId INT NOT NULL,
DepartamentId INT NOT NULL,
TaskId INT NOT NULL,
FOREIGN KEY (PositionId) REFERENCES Positions (Id),
FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id),
FOREIGN KEY (TaskId) REFERENCES Tasks (Id)
);
-- Дамп данных в таблицу Типов ресурсов --
INSERT ResourceType(ResourceType)
VALUES
('Изображение'),
('Текстовый документ'),
('Исполняемый файл'),
('База данных'),
('Директория'),
('Архив');
-- Дамп данных в таблицу Ресурсов --
INSERT Resources(ResourceName, ResourceType)
VALUES
('Положение об обновлении правил порядка', 2),
('Расписание отдела', 1),
('ПО для настройки рации', 3),
('Сотрудники отдела безопасности', 4),
('Директория с задачами на ближайщую неделю', 5);
-- Дамп данных в таблицу Должностей --
INSERT Positions(PositionName)
VALUES
('Рядовой'),
('Сержант'),
('Лейтенант'),
('Капитан'),
('Майор'),
('Полковник'),
('Директор'),
('Руководство Отделов');
-- Дамп данных в таблицу Доступа --
INSERT Permissions(ResourceId, PositionId)
VALUES
(1, 1),
(2, 3),
(3, 4),
(4, 7),
(5, 7),
(3, 7),
(2, 7),
(1, 7);
-- Дамп данных в таблицу Отделов --
INSERT Departaments(DepartamentName)
VALUES
('ФСБ России'),
('Территориальные органы безопасности'),
('Органы безопасности в войсках'),
('Пограничные органы'),
('Авиационные подразделения'),
('Образовательные организации'),
('Подразделения специального назначения'),
('Научные подразделения'),
('Судебно-экспертные подразделения'),
('Военно-медицинские подразделения');
-- Дамп данных в таблицу Начальников департаментов --
INSERT Heads(HeadName, DepartamentId)
VALUES
('Королев Сергей Борисович', 1),
('Кулишов Владимир Григорьевич', 7),
('Купряжкин Александр Николаевич', 3),
('Сироткин Игорь Геннадьевич', 2);
-- Дамп данных в таблицу Задач --
INSERT Tasks(TaskName, TaskDescription, HeadId)
VALUES
('Проверка системы видеонаблюдения', 'Провести техническую проверку и обновление ПО систем видеонаблюдения в здании ФСБ', 1),
('Анализ киберугроз', 'Проанализировать актуальные киберугрозы и подготовить отчет о мерах по усилению защиты информационных систем', 2),
('Учения по антитеррору', 'Организовать и провести учения с персоналом по действиям в условиях возникновения террористической угрозы', 3),
('Аудит доступа к ресурсам', 'Провести аудит распределения доступов к системам и ресурсам, убедиться в соответствии полномочий', 4);
-- Дамп данных в таблицу Сотрудников --
INSERT Employees(FullName, Age, UserPassword, Phone, PositionId, DepartamentId, TaskId)
VALUES
('Иванов Иван Иванович', 35, 'pass123', '89031234567', 4, 1, 1),
('Петров Петр Петрович', 40, 'pass124', '89031234568', 5, 2, 2),
('Смит Джон Робертович', 38, 'pass125', '89031234569', 6, 3, 3),
('Алексеева Алла Борисовна', 29, 'pass126', '89031234560', 7, 4, 4);
|
ad3c7a115f923650bd9371efefb227c4
|
{
"intermediate": 0.33019790053367615,
"beginner": 0.4464411735534668,
"expert": 0.22336097061634064
}
|
47,382
|
can you explain to me the details about what different prompts do in stable diffusion please.
such as
what does <> do
what does / do
what does , do
what does \ do
what does : do
what does ; do
what does "" do
and what the best method to generate reliable text is using those features in a speech bubble.
|
d50194f97353c234df1f7adb5eda4be6
|
{
"intermediate": 0.3492263853549957,
"beginner": 0.14865480363368988,
"expert": 0.5021188259124756
}
|
47,383
|
include irvine32.inc
实际上只要检查x是否为奇数,然后设置一个label即可,
label中的代码求的是buf中能被x整除的正整数,
然后将buf中满足的数据写入dat中并记录下满足的数据的个数,
最后输出,当然判断部分用子程序写
按照我的风格补全
.data
BUF dd 10 dup(?)
X dd 17
DAT dd 10 dup(?)
NUM dd ?
.code
isOdd proc
push ebp
mov ebp,esp
pushad
popad
ret
fn endp
main proc
mov ecx,10
mov edi,offset BUF
xor esi,esi
again:
call readInt
mov eax,offset
call isOdd
exit
maim endp
end main
|
916e88b2c01d049b573ecce72e9d74fb
|
{
"intermediate": 0.33212119340896606,
"beginner": 0.4157746434211731,
"expert": 0.25210416316986084
}
|
47,384
|
Привет! какая здесь шифровка и как расшифровать?
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请将“From the analytical Marxist standpoint (like that of Erik Wright), Przewor- ski and Wallerstein say that a government can increase the workers’ share of national income by taxing capitalist income and transferring these revenues to the working class. By coordinating wage demands with taxation policy, the state can achieve virtually any income distribution desired — including driving capitalist consumption to near zero — without reducing the rate of investment (Mayer, 1994: 191). Przeworski and Wallerstein conclude that the state in a capitalist society is not structurally dependent upon capital in any static sense. A government sympathetic to the working class is not powerless in the face of capital. There exist policies by which it can redistribute income without wrecking the capitalist economy (p. 192). This refutation of structural dependence theory vindicates the claim of social democrats and Keynesian liberals that a pro-worker government can manage a capitalist economy to give workers as much as they would get under socialism. Hence, socialism becomes ethically unnecessary and politically unlikely in democratic capitalist societies (Mayer, 1994: 192).
From a Polanyian-Marxist perspective, Block (2019), extending his approach to state autonomy in capitalist societies, points to ‘the variability in the power exercised by owners in such societies’ that can only be explained by factors that ‘lie outside of the system of property and production’ (ibid.; italics added). It is ‘the legal and political system’ that ‘determines which profit-making strategy’, whether productive/efficient or predatory, ‘will dominate in a particular society’ (ibid.). He says, ‘[M]ultiple forms of dependence of business groups . . . on state action provides a critical resource or lever for those seeking political change'' (Block, 2003: 300; italics added). He also says that the economic rules of the game that ‘often serve to reinforce the power of business interests . . . can also be changed . . . to make resistance, at least within developed countries, to egalitarian reforms more difficult’, so he concludes that therefore ‘there are no inherent obstacles to restructuring market societies along democratic and egalitarian lines’(Block, 2003: 300—1).
Using Weber, and echoing Erik Wright, Block (2019: 1171) argues that ‘the power exercised by an ownership class is a variable, not a constant as is suggested by property-based essentialism’ and the actual amount of power exercised depends on, and is limited by, deep economic and non-economic divisions within that class and by the organization of its opponents (e.g. workers) who can have ‘considerable influence over the state’. These views are echoed by Bittle (2015: 147): laws of the state are ‘a site for struggling against the dominant ideology of corporate capitalism’ and that ‘the state is the only countervailing force capable of holding corporations to account’, so ‘efforts should continue for the state to enact and adequately enforce laws that hold corporations to account for their harmful acts’.
The state autonomy approach of post-modernist Marxists also imputes much power to the ability of the state to improve the conditions of the common people. They argue against ‘the etatism that pervaded Marxian politics in the twentieth century’ which ‘had been dominated by the figure of the state as the ultimate instrument in the hands of the ruling class’ (Bhattacharya and Seda-Irizarry, 2015: 676). In place of the Marxist view of the state, the post-modernist Marxist view is that ‘the state is pulled and pushed in different contradictory directions’, so ‘intervening in individual social processes cumulatively could have as much, if not more, of a transformative effect on the state as any political practice targeted at the state’ (ibid.; italics added). This sort of ideas is a part of broader approach according to which the popular pressure on the state, including through elections, will produce some kind of socialism through the so-called democratic road. This echoes Kautsky (1892) when he says that ‘the working class must strive to influence the state authorities, to bend them to its purposes . . . Great capitalists can influence rulers and legislators directly, but the workers can do so only through parliamentary activity’.
6 Structural-strategic approach
Jessop has been a major state theorist over the last three decades or so. He calls himself a plain or non-dogmatic Marxist (Jessop, 2016: 97—8). He has been seeking to build a theory of the state by finding a common ground between the approaches that are more structural and those that are more agency-oriented, where agency is seen in terms of strategies. To quote from a recent writing of Jessop:
[S]tructure consists in differential constraints and opportunities that vary by agent; agency in turn depends on strategic capacities that vary by structure as well as according to the actors involved [The] biased composi
tion of constraints and opportunities can only be understood in relation to specific strategies pursued by specific forces in order to advance specific interests over a given time horizon in terms of a specific set of other forces, each advancing its interests through specific strategies.
Structures are constraining but not absolutely so, nor are agents unitary or aware of their conditions:
Because structures are only strategically selective rather than absolutely constraining, scope exists for actions to overwhelm, circumvent, or subvert structural constraints. Likewise, because subjects are never unitary, never fully aware of the conditions that affect (their) strategic action, never fully equipped to engage in strategic reflection and learning, there are no guar-antees that they will largely realize their strategic goals.
(Jessop, 2016: 55)15
This ontological view of structure and agency is applied by Jessop to the state. His ‘strategic-relational’ state theory, which is to be contrasted to capital- and class-theoretical theories, has the following main components (Jessop, 2008: 35-9).
Firstly, the state is
[a] system of strategic selectivity, i.e. as a system whose structure and modus operandi are more open to some types of political strategy than others. Thus a given type of state . . . will be more accessible to some forces than others according to the strategies they adopt to gain state power; and it will be more suited to the pursuit of some types of economic or political strategy than others because of the modes of intervention and resources which characterize that system.16
Secondly, the state has no essential institutional and/or class unity. It is the state managers’ different strategies that impose a measure of coherence on the activities of the state, so the state becomes ‘a site where strategies are elaborated’. The state is indeed ‘the site, the generator, and the product of strategies’ (Jessop, 2008: 35).
Thirdly,
the current strategic selectivity of the state is in part the emergent effect of the interaction between its past patterns of strategic selectivity and the strategies adopted for its transformation. . . . In turn the calculating subjects that operate on the strategic terrain constituted by the state are in part constituted by the strategic selectivity of the state system and its past interventions.
(ibid.: 37)
I will return to Jessop in the following.
7 Existing state theory: a critique of its intellectual context and political implications
The existing literature does unpack multiple aspects of the state. Yet, taken together, it has some serious problems. There are four in particular.
The focus is more on the how, less on the why: or obsession with ‘autonomism’
The instrumentalist idea ignores/under-emphasizes the constraints imposed on the state structure or on the state actors by the structure of capitalism itself. The structure of capitalism is to be differentiated from the constraining action of individual capitalists or groups of capitalists as bearers of the capitalist structural relations: even if there are no ties between the state actors and capitalists, the state will, more or less, create conditions for accumulation. In fact, empirically, there are cases where that is the case.17 For there to be instrumental (agentic) ties, there has to be the state as a structure of relations in the first place. The focus on agentic ties fails to answer the question of why there is the state. The theory, like much state theory as such, does not also consider the coercive power of the state as signifying the fundamental class character of the state. The state can and does, of course, favour specific capitalists in part based on their ties with specific actors/institutions of the state, but that is not an essential aspect of the state. It is said that the state acts in the interests of capitalists because it is directly influenced by capitalists, but what is it about the state that allows capitalists to control the state? Why does it not allow socialists to control it?
The political structuralist view as advanced by Poulantzas and the like has problems. If the instrumental control by members of the ruling class is ruled out, then it is not clear what actual mechanisms shape — constrain — state actions. Why is it that a state that is relatively autonomous must meet the dominant class interests, that is, organizing the dominant classes/class fractions and disorganizing the dominated classes. And if the state is as autonomous as the theory says it is, then what stops it from meeting the needs of the masses in significant ways: if the state can give concessions to win their consent in the political interest of the capitalist class, why do masses suffer so much? And what stops state actors themselves, many of whom are from the non-bourgeois back-ground, from making use of their positions within the state to meet their own needs? And, once again, what about the coercive functions of the state? If it is the case that ‘the state is not a class instrument, but rather the state of a society divided into classes’ (Poulantzas, 1968: 285), then is there inherently nothing capitalist about the state? Is the state merely an entity that maintains cohesion of society which then benefits capitalists?”翻译为中文
|
8eae912e6dd0442e72e9b3dd469b4afa
|
{
"intermediate": 0.3554993271827698,
"beginner": 0.39088940620422363,
"expert": 0.253611296415329
}
|
47,386
|
I want to perform blind comparison of different LLMs. Let's say, i have file with single line json records, including fields "model_name", "prompt", "response". Now I need to collect user scores by shuffling pairs (with same prompt, but responses from two different models) and asking user to rate "A win"/"B win"/"Both OK"/"Both fail". Than calculate Elo score. How to do it?
|
c51e2e31621e0c6d7ae79b29bcb4b813
|
{
"intermediate": 0.3496408462524414,
"beginner": 0.10600437223911285,
"expert": 0.5443547368049622
}
|
47,387
|
We have selectBox variable Rank on record producer and values are reference to sys choice table. choice values are like below.
NW01, NW05, NW21, NW23
BY01, BYC1, BYC3, BYC7, BY04, BY04
for example, on form load the Rank variable has NW01 value. if user wants change Rank value from NW01 to NW21 or BYC1 to BYC3 then user should get a info message like your Rank has been increased.
could you please anybody help me how to achieve this.
|
4d16e5c790e315770a8d6f46e03e849c
|
{
"intermediate": 0.40391209721565247,
"beginner": 0.30249226093292236,
"expert": 0.29359564185142517
}
|
47,388
|
как мне переписать следующий запрос так, чтобы получать json, а не html?
import requests
from bs4 import BeautifulSoup
url = "https://isu.uust.ru/api/new_schedule_api/?schedule_semestr_id=232&WhatShow=1&student_group_id=4235&weeks=34"
headers = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,/;q=0.8,application/signed-exchange;v=b3;q=0.7',
'Accept-Encoding': 'gzip, deflate, br, zstd',
'Accept-Language': 'ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7',
'Connection': 'keep-alive',
'Cookie': 'PHPSESSID=hptapcnu4sqmr2h5me417mkbar',
'Host': 'isu.uust.ru',
'Referer': 'https://isu.uust.ru/api/new_schedule_api/?schedule_semestr_id=232&WhatShow=1&student_group_id=4235&weeks=34',
'Sec-Ch-Ua': '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
'Sec-Ch-Ua-Mobile': '?0',
'Sec-Ch-Ua-Platform': '"Windows"',
'Sec-Fetch-Dest': 'document',
'Sec-Fetch-Mode': 'navigate',
'Sec-Fetch-Site': 'same-origin',
'Sec-Fetch-User': '?1',
'Upgrade-Insecure-Requests': '1',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36',
}
response = requests.get(url, headers=headers)
data = response.text
|
94475b57b0c3ccee37c1e327fce93221
|
{
"intermediate": 0.44579485058784485,
"beginner": 0.34641948342323303,
"expert": 0.2077856808900833
}
|
47,389
|
i loadedm my dataset in a jupyter notebook
it size is very big
is it possible i acces the data i loaded in one notebook, in another one?
|
a009e2fa5fac8dc2f5bd4fbcee5b8e6e
|
{
"intermediate": 0.46072420477867126,
"beginner": 0.2081659883260727,
"expert": 0.33110976219177246
}
|
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