nwo
stringlengths 6
76
| sha
stringlengths 40
40
| path
stringlengths 5
118
| language
stringclasses 1
value | identifier
stringlengths 1
89
| parameters
stringlengths 2
5.4k
| argument_list
stringclasses 1
value | return_statement
stringlengths 0
51.1k
| docstring
stringlengths 1
17.6k
| docstring_summary
stringlengths 0
7.02k
| docstring_tokens
sequence | function
stringlengths 30
51.1k
| function_tokens
sequence | url
stringlengths 85
218
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/solver.py | python | BaseSolver.write_log | (self, log_name, log_dict) | Write log to TensorBoard
log_name - <str> Name of tensorboard variable
log_value - <dict>/<array> Value of variable (e.g. dict of losses), passed if value = None | Write log to TensorBoard
log_name - <str> Name of tensorboard variable
log_value - <dict>/<array> Value of variable (e.g. dict of losses), passed if value = None | [
"Write",
"log",
"to",
"TensorBoard",
"log_name",
"-",
"<str",
">",
"Name",
"of",
"tensorboard",
"variable",
"log_value",
"-",
"<dict",
">",
"/",
"<array",
">",
"Value",
"of",
"variable",
"(",
"e",
".",
"g",
".",
"dict",
"of",
"losses",
")",
"passed",
"if",
"value",
"=",
"None"
] | def write_log(self, log_name, log_dict):
'''
Write log to TensorBoard
log_name - <str> Name of tensorboard variable
log_value - <dict>/<array> Value of variable (e.g. dict of losses), passed if value = None
'''
if type(log_dict) is dict:
log_dict = {key: val for key, val in log_dict.items() if (
val is not None and not math.isnan(val))}
if log_dict is None:
pass
elif len(log_dict) > 0:
if 'align' in log_name or 'spec' in log_name:
img, form = log_dict
self.log.add_image(
log_name, img, global_step=self.step, dataformats=form)
elif 'text' in log_name or 'hyp' in log_name:
self.log.add_text(log_name, log_dict, self.step)
else:
self.log.add_scalars(log_name, log_dict, self.step) | [
"def",
"write_log",
"(",
"self",
",",
"log_name",
",",
"log_dict",
")",
":",
"if",
"type",
"(",
"log_dict",
")",
"is",
"dict",
":",
"log_dict",
"=",
"{",
"key",
":",
"val",
"for",
"key",
",",
"val",
"in",
"log_dict",
".",
"items",
"(",
")",
"if",
"(",
"val",
"is",
"not",
"None",
"and",
"not",
"math",
".",
"isnan",
"(",
"val",
")",
")",
"}",
"if",
"log_dict",
"is",
"None",
":",
"pass",
"elif",
"len",
"(",
"log_dict",
")",
">",
"0",
":",
"if",
"'align'",
"in",
"log_name",
"or",
"'spec'",
"in",
"log_name",
":",
"img",
",",
"form",
"=",
"log_dict",
"self",
".",
"log",
".",
"add_image",
"(",
"log_name",
",",
"img",
",",
"global_step",
"=",
"self",
".",
"step",
",",
"dataformats",
"=",
"form",
")",
"elif",
"'text'",
"in",
"log_name",
"or",
"'hyp'",
"in",
"log_name",
":",
"self",
".",
"log",
".",
"add_text",
"(",
"log_name",
",",
"log_dict",
",",
"self",
".",
"step",
")",
"else",
":",
"self",
".",
"log",
".",
"add_scalars",
"(",
"log_name",
",",
"log_dict",
",",
"self",
".",
"step",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/solver.py#L136-L155 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/solver.py | python | BaseSolver.save_checkpoint | (self, f_name, metric, score, show_msg=True) | Ckpt saver
f_name - <str> the name phnof ckpt file (w/o prefix) to store, overwrite if existed
score - <float> The value of metric used to evaluate model | Ckpt saver
f_name - <str> the name phnof ckpt file (w/o prefix) to store, overwrite if existed
score - <float> The value of metric used to evaluate model | [
"Ckpt",
"saver",
"f_name",
"-",
"<str",
">",
"the",
"name",
"phnof",
"ckpt",
"file",
"(",
"w",
"/",
"o",
"prefix",
")",
"to",
"store",
"overwrite",
"if",
"existed",
"score",
"-",
"<float",
">",
"The",
"value",
"of",
"metric",
"used",
"to",
"evaluate",
"model"
] | def save_checkpoint(self, f_name, metric, score, show_msg=True):
''''
Ckpt saver
f_name - <str> the name phnof ckpt file (w/o prefix) to store, overwrite if existed
score - <float> The value of metric used to evaluate model
'''
ckpt_path = os.path.join(self.ckpdir, f_name)
full_dict = {
"model": self.model.state_dict(),
"optimizer": self.optimizer.get_opt_state_dict(),
"global_step": self.step,
metric: score
}
# Additional modules to save
# if self.amp:
# full_dict['amp'] = self.amp_lib.state_dict()
if self.emb_decoder is not None:
full_dict['emb_decoder'] = self.emb_decoder.state_dict()
torch.save(full_dict, ckpt_path)
if show_msg:
self.verbose("Saved checkpoint (step = {}, {} = {:.2f}) and status @ {}".
format(human_format(self.step), metric, score, ckpt_path)) | [
"def",
"save_checkpoint",
"(",
"self",
",",
"f_name",
",",
"metric",
",",
"score",
",",
"show_msg",
"=",
"True",
")",
":",
"ckpt_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"self",
".",
"ckpdir",
",",
"f_name",
")",
"full_dict",
"=",
"{",
"\"model\"",
":",
"self",
".",
"model",
".",
"state_dict",
"(",
")",
",",
"\"optimizer\"",
":",
"self",
".",
"optimizer",
".",
"get_opt_state_dict",
"(",
")",
",",
"\"global_step\"",
":",
"self",
".",
"step",
",",
"metric",
":",
"score",
"}",
"# Additional modules to save",
"# if self.amp:",
"# full_dict['amp'] = self.amp_lib.state_dict()",
"if",
"self",
".",
"emb_decoder",
"is",
"not",
"None",
":",
"full_dict",
"[",
"'emb_decoder'",
"]",
"=",
"self",
".",
"emb_decoder",
".",
"state_dict",
"(",
")",
"torch",
".",
"save",
"(",
"full_dict",
",",
"ckpt_path",
")",
"if",
"show_msg",
":",
"self",
".",
"verbose",
"(",
"\"Saved checkpoint (step = {}, {} = {:.2f}) and status @ {}\"",
".",
"format",
"(",
"human_format",
"(",
"self",
".",
"step",
")",
",",
"metric",
",",
"score",
",",
"ckpt_path",
")",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/solver.py#L157-L179 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/solver.py | python | BaseSolver.load_data | (self) | Called by main to load all data
After this call, data related attributes should be setup (e.g. self.tr_set, self.dev_set)
No return value | Called by main to load all data
After this call, data related attributes should be setup (e.g. self.tr_set, self.dev_set)
No return value | [
"Called",
"by",
"main",
"to",
"load",
"all",
"data",
"After",
"this",
"call",
"data",
"related",
"attributes",
"should",
"be",
"setup",
"(",
"e",
".",
"g",
".",
"self",
".",
"tr_set",
"self",
".",
"dev_set",
")",
"No",
"return",
"value"
] | def load_data(self):
'''
Called by main to load all data
After this call, data related attributes should be setup (e.g. self.tr_set, self.dev_set)
No return value
'''
raise NotImplementedError | [
"def",
"load_data",
"(",
"self",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/solver.py#L193-L199 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/solver.py | python | BaseSolver.set_model | (self) | Called by main to set models
After this call, model related attributes should be setup (e.g. self.l2_loss)
The followings MUST be setup
- self.model (torch.nn.Module)
- self.optimizer (src.Optimizer),
init. w/ self.optimizer = src.Optimizer(self.model.parameters(),**self.config['hparas'])
Loading pre-trained model should also be performed here
No return value | Called by main to set models
After this call, model related attributes should be setup (e.g. self.l2_loss)
The followings MUST be setup
- self.model (torch.nn.Module)
- self.optimizer (src.Optimizer),
init. w/ self.optimizer = src.Optimizer(self.model.parameters(),**self.config['hparas'])
Loading pre-trained model should also be performed here
No return value | [
"Called",
"by",
"main",
"to",
"set",
"models",
"After",
"this",
"call",
"model",
"related",
"attributes",
"should",
"be",
"setup",
"(",
"e",
".",
"g",
".",
"self",
".",
"l2_loss",
")",
"The",
"followings",
"MUST",
"be",
"setup",
"-",
"self",
".",
"model",
"(",
"torch",
".",
"nn",
".",
"Module",
")",
"-",
"self",
".",
"optimizer",
"(",
"src",
".",
"Optimizer",
")",
"init",
".",
"w",
"/",
"self",
".",
"optimizer",
"=",
"src",
".",
"Optimizer",
"(",
"self",
".",
"model",
".",
"parameters",
"()",
"**",
"self",
".",
"config",
"[",
"hparas",
"]",
")",
"Loading",
"pre",
"-",
"trained",
"model",
"should",
"also",
"be",
"performed",
"here",
"No",
"return",
"value"
] | def set_model(self):
'''
Called by main to set models
After this call, model related attributes should be setup (e.g. self.l2_loss)
The followings MUST be setup
- self.model (torch.nn.Module)
- self.optimizer (src.Optimizer),
init. w/ self.optimizer = src.Optimizer(self.model.parameters(),**self.config['hparas'])
Loading pre-trained model should also be performed here
No return value
'''
raise NotImplementedError | [
"def",
"set_model",
"(",
"self",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/solver.py#L202-L213 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/solver.py | python | BaseSolver.exec | (self) | Called by main to execute training/inference | Called by main to execute training/inference | [
"Called",
"by",
"main",
"to",
"execute",
"training",
"/",
"inference"
] | def exec(self):
'''
Called by main to execute training/inference
'''
raise NotImplementedError | [
"def",
"exec",
"(",
"self",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/solver.py#L216-L220 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/decode.py | python | Hypothesis.avgScore | (self) | return sum(self.output_scores) / len(self.output_scores) | Return the averaged log probability of hypothesis | Return the averaged log probability of hypothesis | [
"Return",
"the",
"averaged",
"log",
"probability",
"of",
"hypothesis"
] | def avgScore(self):
'''Return the averaged log probability of hypothesis'''
assert len(self.output_scores) != 0
return sum(self.output_scores) / len(self.output_scores) | [
"def",
"avgScore",
"(",
"self",
")",
":",
"assert",
"len",
"(",
"self",
".",
"output_scores",
")",
"!=",
"0",
"return",
"sum",
"(",
"self",
".",
"output_scores",
")",
"/",
"len",
"(",
"self",
".",
"output_scores",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/decode.py#L204-L207 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/decode.py | python | Hypothesis.addTopk | (self, topi, topv, decoder_state, att_map=None,
lm_state=None, ctc_state=None, ctc_prob=0.0, ctc_candidates=[]) | return None, new_hypothesis | Expand current hypothesis with a given beam size | Expand current hypothesis with a given beam size | [
"Expand",
"current",
"hypothesis",
"with",
"a",
"given",
"beam",
"size"
] | def addTopk(self, topi, topv, decoder_state, att_map=None,
lm_state=None, ctc_state=None, ctc_prob=0.0, ctc_candidates=[]):
'''Expand current hypothesis with a given beam size'''
new_hypothesis = []
term_score = None
ctc_s, ctc_p = None, None
beam_size = topi.shape[-1]
for i in range(beam_size):
# Detect <eos>
if topi[i].item() == 1:
term_score = topv[i].cpu()
continue
idxes = self.output_seq[:] # pass by value
scores = self.output_scores[:] # pass by value
idxes.append(topi[i].cpu())
scores.append(topv[i].cpu())
if ctc_state is not None:
# ToDo: Handle out-of-candidate case.
idx = ctc_candidates.index(topi[i].item())
ctc_s = ctc_state[idx, :, :]
ctc_p = ctc_prob[idx]
new_hypothesis.append(Hypothesis(decoder_state,
output_seq=idxes, output_scores=scores, lm_state=lm_state,
ctc_state=ctc_s, ctc_prob=ctc_p, att_map=att_map))
if term_score is not None:
self.output_seq.append(torch.tensor(1))
self.output_scores.append(term_score)
return self, new_hypothesis
return None, new_hypothesis | [
"def",
"addTopk",
"(",
"self",
",",
"topi",
",",
"topv",
",",
"decoder_state",
",",
"att_map",
"=",
"None",
",",
"lm_state",
"=",
"None",
",",
"ctc_state",
"=",
"None",
",",
"ctc_prob",
"=",
"0.0",
",",
"ctc_candidates",
"=",
"[",
"]",
")",
":",
"new_hypothesis",
"=",
"[",
"]",
"term_score",
"=",
"None",
"ctc_s",
",",
"ctc_p",
"=",
"None",
",",
"None",
"beam_size",
"=",
"topi",
".",
"shape",
"[",
"-",
"1",
"]",
"for",
"i",
"in",
"range",
"(",
"beam_size",
")",
":",
"# Detect <eos>",
"if",
"topi",
"[",
"i",
"]",
".",
"item",
"(",
")",
"==",
"1",
":",
"term_score",
"=",
"topv",
"[",
"i",
"]",
".",
"cpu",
"(",
")",
"continue",
"idxes",
"=",
"self",
".",
"output_seq",
"[",
":",
"]",
"# pass by value",
"scores",
"=",
"self",
".",
"output_scores",
"[",
":",
"]",
"# pass by value",
"idxes",
".",
"append",
"(",
"topi",
"[",
"i",
"]",
".",
"cpu",
"(",
")",
")",
"scores",
".",
"append",
"(",
"topv",
"[",
"i",
"]",
".",
"cpu",
"(",
")",
")",
"if",
"ctc_state",
"is",
"not",
"None",
":",
"# ToDo: Handle out-of-candidate case.",
"idx",
"=",
"ctc_candidates",
".",
"index",
"(",
"topi",
"[",
"i",
"]",
".",
"item",
"(",
")",
")",
"ctc_s",
"=",
"ctc_state",
"[",
"idx",
",",
":",
",",
":",
"]",
"ctc_p",
"=",
"ctc_prob",
"[",
"idx",
"]",
"new_hypothesis",
".",
"append",
"(",
"Hypothesis",
"(",
"decoder_state",
",",
"output_seq",
"=",
"idxes",
",",
"output_scores",
"=",
"scores",
",",
"lm_state",
"=",
"lm_state",
",",
"ctc_state",
"=",
"ctc_s",
",",
"ctc_prob",
"=",
"ctc_p",
",",
"att_map",
"=",
"att_map",
")",
")",
"if",
"term_score",
"is",
"not",
"None",
":",
"self",
".",
"output_seq",
".",
"append",
"(",
"torch",
".",
"tensor",
"(",
"1",
")",
")",
"self",
".",
"output_scores",
".",
"append",
"(",
"term_score",
")",
"return",
"self",
",",
"new_hypothesis",
"return",
"None",
",",
"new_hypothesis"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/decode.py#L209-L239 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/plugin.py | python | EmbeddingRegularizer.fuse_prob | (self, x_emb, dec_logit) | return log_fused_prob | Takes context and decoder logit to perform word embedding fusion | Takes context and decoder logit to perform word embedding fusion | [
"Takes",
"context",
"and",
"decoder",
"logit",
"to",
"perform",
"word",
"embedding",
"fusion"
] | def fuse_prob(self, x_emb, dec_logit):
''' Takes context and decoder logit to perform word embedding fusion '''
# Compute distribution for dec/emb
if self.fuse_normalize:
emb_logit = nn.functional.linear(nn.functional.normalize(x_emb, dim=-1),
nn.functional.normalize(self.emb_table.weight, dim=-1))
else:
emb_logit = nn.functional.linear(x_emb, self.emb_table.weight)
emb_prob = (nn.functional.relu(self.temp)*emb_logit).softmax(dim=-1)
dec_prob = dec_logit.softmax(dim=-1)
# Mix distribution
if self.fuse_learnable:
fused_prob = (1-torch.sigmoid(self.fuse_lambda))*dec_prob +\
torch.sigmoid(self.fuse_lambda)*emb_prob
else:
fused_prob = (1-self.fuse_lambda)*dec_prob + \
self.fuse_lambda*emb_prob
# Log-prob
log_fused_prob = (fused_prob+self.eps).log()
return log_fused_prob | [
"def",
"fuse_prob",
"(",
"self",
",",
"x_emb",
",",
"dec_logit",
")",
":",
"# Compute distribution for dec/emb",
"if",
"self",
".",
"fuse_normalize",
":",
"emb_logit",
"=",
"nn",
".",
"functional",
".",
"linear",
"(",
"nn",
".",
"functional",
".",
"normalize",
"(",
"x_emb",
",",
"dim",
"=",
"-",
"1",
")",
",",
"nn",
".",
"functional",
".",
"normalize",
"(",
"self",
".",
"emb_table",
".",
"weight",
",",
"dim",
"=",
"-",
"1",
")",
")",
"else",
":",
"emb_logit",
"=",
"nn",
".",
"functional",
".",
"linear",
"(",
"x_emb",
",",
"self",
".",
"emb_table",
".",
"weight",
")",
"emb_prob",
"=",
"(",
"nn",
".",
"functional",
".",
"relu",
"(",
"self",
".",
"temp",
")",
"*",
"emb_logit",
")",
".",
"softmax",
"(",
"dim",
"=",
"-",
"1",
")",
"dec_prob",
"=",
"dec_logit",
".",
"softmax",
"(",
"dim",
"=",
"-",
"1",
")",
"# Mix distribution",
"if",
"self",
".",
"fuse_learnable",
":",
"fused_prob",
"=",
"(",
"1",
"-",
"torch",
".",
"sigmoid",
"(",
"self",
".",
"fuse_lambda",
")",
")",
"*",
"dec_prob",
"+",
"torch",
".",
"sigmoid",
"(",
"self",
".",
"fuse_lambda",
")",
"*",
"emb_prob",
"else",
":",
"fused_prob",
"=",
"(",
"1",
"-",
"self",
".",
"fuse_lambda",
")",
"*",
"dec_prob",
"+",
"self",
".",
"fuse_lambda",
"*",
"emb_prob",
"# Log-prob",
"log_fused_prob",
"=",
"(",
"fused_prob",
"+",
"self",
".",
"eps",
")",
".",
"log",
"(",
")",
"return",
"log_fused_prob"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/plugin.py#L103-L123 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/data.py | python | collect_audio_batch | (batch, audio_transform, mode) | return file, audio_feat, audio_len, text | Collects a batch, should be list of tuples (audio_path <str>, list of int token <list>)
e.g. [(file1,txt1),(file2,txt2),...] | Collects a batch, should be list of tuples (audio_path <str>, list of int token <list>)
e.g. [(file1,txt1),(file2,txt2),...] | [
"Collects",
"a",
"batch",
"should",
"be",
"list",
"of",
"tuples",
"(",
"audio_path",
"<str",
">",
"list",
"of",
"int",
"token",
"<list",
">",
")",
"e",
".",
"g",
".",
"[",
"(",
"file1",
"txt1",
")",
"(",
"file2",
"txt2",
")",
"...",
"]"
] | def collect_audio_batch(batch, audio_transform, mode):
'''Collects a batch, should be list of tuples (audio_path <str>, list of int token <list>)
e.g. [(file1,txt1),(file2,txt2),...] '''
# Bucketed batch should be [[(file1,txt1),(file2,txt2),...]]
if type(batch[0]) is not tuple:
batch = batch[0]
# Make sure that batch size is reasonable
first_len = audio_transform(str(batch[0][0])).shape[0]
if first_len > HALF_BATCHSIZE_AUDIO_LEN and mode == 'train':
batch = batch[:len(batch)//2]
# Read batch
file, audio_feat, audio_len, text = [], [], [], []
with torch.no_grad():
for b in batch:
file.append(str(b[0]).split('/')[-1].split('.')[0])
feat = audio_transform(str(b[0]))
audio_feat.append(feat)
audio_len.append(len(feat))
text.append(torch.LongTensor(b[1]))
# Descending audio length within each batch
audio_len, file, audio_feat, text = zip(*[(feat_len, f_name, feat, txt)
for feat_len, f_name, feat, txt in sorted(zip(audio_len, file, audio_feat, text), reverse=True, key=lambda x:x[0])])
# Zero-padding
audio_feat = pad_sequence(audio_feat, batch_first=True)
text = pad_sequence(text, batch_first=True)
audio_len = torch.LongTensor(audio_len)
return file, audio_feat, audio_len, text | [
"def",
"collect_audio_batch",
"(",
"batch",
",",
"audio_transform",
",",
"mode",
")",
":",
"# Bucketed batch should be [[(file1,txt1),(file2,txt2),...]]",
"if",
"type",
"(",
"batch",
"[",
"0",
"]",
")",
"is",
"not",
"tuple",
":",
"batch",
"=",
"batch",
"[",
"0",
"]",
"# Make sure that batch size is reasonable",
"first_len",
"=",
"audio_transform",
"(",
"str",
"(",
"batch",
"[",
"0",
"]",
"[",
"0",
"]",
")",
")",
".",
"shape",
"[",
"0",
"]",
"if",
"first_len",
">",
"HALF_BATCHSIZE_AUDIO_LEN",
"and",
"mode",
"==",
"'train'",
":",
"batch",
"=",
"batch",
"[",
":",
"len",
"(",
"batch",
")",
"//",
"2",
"]",
"# Read batch",
"file",
",",
"audio_feat",
",",
"audio_len",
",",
"text",
"=",
"[",
"]",
",",
"[",
"]",
",",
"[",
"]",
",",
"[",
"]",
"with",
"torch",
".",
"no_grad",
"(",
")",
":",
"for",
"b",
"in",
"batch",
":",
"file",
".",
"append",
"(",
"str",
"(",
"b",
"[",
"0",
"]",
")",
".",
"split",
"(",
"'/'",
")",
"[",
"-",
"1",
"]",
".",
"split",
"(",
"'.'",
")",
"[",
"0",
"]",
")",
"feat",
"=",
"audio_transform",
"(",
"str",
"(",
"b",
"[",
"0",
"]",
")",
")",
"audio_feat",
".",
"append",
"(",
"feat",
")",
"audio_len",
".",
"append",
"(",
"len",
"(",
"feat",
")",
")",
"text",
".",
"append",
"(",
"torch",
".",
"LongTensor",
"(",
"b",
"[",
"1",
"]",
")",
")",
"# Descending audio length within each batch",
"audio_len",
",",
"file",
",",
"audio_feat",
",",
"text",
"=",
"zip",
"(",
"*",
"[",
"(",
"feat_len",
",",
"f_name",
",",
"feat",
",",
"txt",
")",
"for",
"feat_len",
",",
"f_name",
",",
"feat",
",",
"txt",
"in",
"sorted",
"(",
"zip",
"(",
"audio_len",
",",
"file",
",",
"audio_feat",
",",
"text",
")",
",",
"reverse",
"=",
"True",
",",
"key",
"=",
"lambda",
"x",
":",
"x",
"[",
"0",
"]",
")",
"]",
")",
"# Zero-padding",
"audio_feat",
"=",
"pad_sequence",
"(",
"audio_feat",
",",
"batch_first",
"=",
"True",
")",
"text",
"=",
"pad_sequence",
"(",
"text",
",",
"batch_first",
"=",
"True",
")",
"audio_len",
"=",
"torch",
".",
"LongTensor",
"(",
"audio_len",
")",
"return",
"file",
",",
"audio_feat",
",",
"audio_len",
",",
"text"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/data.py#L14-L43 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/data.py | python | collect_text_batch | (batch, mode) | return text | Collects a batch of text, should be list of list of int token
e.g. [txt1 <list>,txt2 <list>,...] | Collects a batch of text, should be list of list of int token
e.g. [txt1 <list>,txt2 <list>,...] | [
"Collects",
"a",
"batch",
"of",
"text",
"should",
"be",
"list",
"of",
"list",
"of",
"int",
"token",
"e",
".",
"g",
".",
"[",
"txt1",
"<list",
">",
"txt2",
"<list",
">",
"...",
"]"
] | def collect_text_batch(batch, mode):
'''Collects a batch of text, should be list of list of int token
e.g. [txt1 <list>,txt2 <list>,...] '''
# Bucketed batch should be [[txt1, txt2,...]]
if type(batch[0][0]) is list:
batch = batch[0]
# Half batch size if input to long
if len(batch[0]) > HALF_BATCHSIZE_TEXT_LEN and mode == 'train':
batch = batch[:len(batch)//2]
# Read batch
text = [torch.LongTensor(b) for b in batch]
# Zero-padding
text = pad_sequence(text, batch_first=True)
return text | [
"def",
"collect_text_batch",
"(",
"batch",
",",
"mode",
")",
":",
"# Bucketed batch should be [[txt1, txt2,...]]",
"if",
"type",
"(",
"batch",
"[",
"0",
"]",
"[",
"0",
"]",
")",
"is",
"list",
":",
"batch",
"=",
"batch",
"[",
"0",
"]",
"# Half batch size if input to long",
"if",
"len",
"(",
"batch",
"[",
"0",
"]",
")",
">",
"HALF_BATCHSIZE_TEXT_LEN",
"and",
"mode",
"==",
"'train'",
":",
"batch",
"=",
"batch",
"[",
":",
"len",
"(",
"batch",
")",
"//",
"2",
"]",
"# Read batch",
"text",
"=",
"[",
"torch",
".",
"LongTensor",
"(",
"b",
")",
"for",
"b",
"in",
"batch",
"]",
"# Zero-padding",
"text",
"=",
"pad_sequence",
"(",
"text",
",",
"batch_first",
"=",
"True",
")",
"return",
"text"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/data.py#L46-L61 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/data.py | python | create_dataset | (tokenizer, ascending, name, path, bucketing, batch_size,
train_split=None, dev_split=None, test_split=None) | Interface for creating all kinds of dataset | Interface for creating all kinds of dataset | [
"Interface",
"for",
"creating",
"all",
"kinds",
"of",
"dataset"
] | def create_dataset(tokenizer, ascending, name, path, bucketing, batch_size,
train_split=None, dev_split=None, test_split=None):
''' Interface for creating all kinds of dataset'''
# Recognize corpus
if name.lower() == "librispeech":
from corpus.librispeech import LibriDataset as Dataset
else:
raise NotImplementedError
# Create dataset
if train_split is not None:
# Training mode
mode = 'train'
tr_loader_bs = 1 if bucketing and (not ascending) else batch_size
bucket_size = batch_size if bucketing and (
not ascending) else 1 # Ascending without bucketing
# Do not use bucketing for dev set
dv_set = Dataset(path, dev_split, tokenizer, 1)
tr_set = Dataset(path, train_split, tokenizer,
bucket_size, ascending=ascending)
# Messages to show
msg_list = _data_msg(name, path, train_split.__str__(), len(tr_set),
dev_split.__str__(), len(dv_set), batch_size, bucketing)
return tr_set, dv_set, tr_loader_bs, batch_size, mode, msg_list
else:
# Testing model
mode = 'test'
# Do not use bucketing for dev set
dv_set = Dataset(path, dev_split, tokenizer, 1)
# Do not use bucketing for test set
tt_set = Dataset(path, test_split, tokenizer, 1)
# Messages to show
msg_list = _data_msg(name, path, dev_split.__str__(), len(dv_set),
test_split.__str__(), len(tt_set), batch_size, False)
msg_list = [m.replace('Dev', 'Test').replace(
'Train', 'Dev') for m in msg_list]
return dv_set, tt_set, batch_size, batch_size, mode, msg_list | [
"def",
"create_dataset",
"(",
"tokenizer",
",",
"ascending",
",",
"name",
",",
"path",
",",
"bucketing",
",",
"batch_size",
",",
"train_split",
"=",
"None",
",",
"dev_split",
"=",
"None",
",",
"test_split",
"=",
"None",
")",
":",
"# Recognize corpus",
"if",
"name",
".",
"lower",
"(",
")",
"==",
"\"librispeech\"",
":",
"from",
"corpus",
".",
"librispeech",
"import",
"LibriDataset",
"as",
"Dataset",
"else",
":",
"raise",
"NotImplementedError",
"# Create dataset",
"if",
"train_split",
"is",
"not",
"None",
":",
"# Training mode",
"mode",
"=",
"'train'",
"tr_loader_bs",
"=",
"1",
"if",
"bucketing",
"and",
"(",
"not",
"ascending",
")",
"else",
"batch_size",
"bucket_size",
"=",
"batch_size",
"if",
"bucketing",
"and",
"(",
"not",
"ascending",
")",
"else",
"1",
"# Ascending without bucketing",
"# Do not use bucketing for dev set",
"dv_set",
"=",
"Dataset",
"(",
"path",
",",
"dev_split",
",",
"tokenizer",
",",
"1",
")",
"tr_set",
"=",
"Dataset",
"(",
"path",
",",
"train_split",
",",
"tokenizer",
",",
"bucket_size",
",",
"ascending",
"=",
"ascending",
")",
"# Messages to show",
"msg_list",
"=",
"_data_msg",
"(",
"name",
",",
"path",
",",
"train_split",
".",
"__str__",
"(",
")",
",",
"len",
"(",
"tr_set",
")",
",",
"dev_split",
".",
"__str__",
"(",
")",
",",
"len",
"(",
"dv_set",
")",
",",
"batch_size",
",",
"bucketing",
")",
"return",
"tr_set",
",",
"dv_set",
",",
"tr_loader_bs",
",",
"batch_size",
",",
"mode",
",",
"msg_list",
"else",
":",
"# Testing model",
"mode",
"=",
"'test'",
"# Do not use bucketing for dev set",
"dv_set",
"=",
"Dataset",
"(",
"path",
",",
"dev_split",
",",
"tokenizer",
",",
"1",
")",
"# Do not use bucketing for test set",
"tt_set",
"=",
"Dataset",
"(",
"path",
",",
"test_split",
",",
"tokenizer",
",",
"1",
")",
"# Messages to show",
"msg_list",
"=",
"_data_msg",
"(",
"name",
",",
"path",
",",
"dev_split",
".",
"__str__",
"(",
")",
",",
"len",
"(",
"dv_set",
")",
",",
"test_split",
".",
"__str__",
"(",
")",
",",
"len",
"(",
"tt_set",
")",
",",
"batch_size",
",",
"False",
")",
"msg_list",
"=",
"[",
"m",
".",
"replace",
"(",
"'Dev'",
",",
"'Test'",
")",
".",
"replace",
"(",
"'Train'",
",",
"'Dev'",
")",
"for",
"m",
"in",
"msg_list",
"]",
"return",
"dv_set",
",",
"tt_set",
",",
"batch_size",
",",
"batch_size",
",",
"mode",
",",
"msg_list"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/data.py#L64-L102 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/data.py | python | create_textset | (tokenizer, train_split, dev_split, name, path, bucketing, batch_size) | return tr_set, dv_set, tr_loader_bs, batch_size, msg_list | Interface for creating all kinds of text dataset | Interface for creating all kinds of text dataset | [
"Interface",
"for",
"creating",
"all",
"kinds",
"of",
"text",
"dataset"
] | def create_textset(tokenizer, train_split, dev_split, name, path, bucketing, batch_size):
''' Interface for creating all kinds of text dataset'''
msg_list = []
# Recognize corpus
if name.lower() == "librispeech":
from corpus.librispeech import LibriTextDataset as Dataset
else:
raise NotImplementedError
# Create dataset
bucket_size = batch_size if bucketing else 1
tr_loader_bs = 1 if bucketing else batch_size
# Do not use bucketing for dev set
dv_set = Dataset(path, dev_split, tokenizer, 1)
tr_set = Dataset(path, train_split, tokenizer, bucket_size)
# Messages to show
msg_list = _data_msg(name, path, train_split.__str__(), len(tr_set),
dev_split.__str__(), len(dv_set), batch_size, bucketing)
return tr_set, dv_set, tr_loader_bs, batch_size, msg_list | [
"def",
"create_textset",
"(",
"tokenizer",
",",
"train_split",
",",
"dev_split",
",",
"name",
",",
"path",
",",
"bucketing",
",",
"batch_size",
")",
":",
"msg_list",
"=",
"[",
"]",
"# Recognize corpus",
"if",
"name",
".",
"lower",
"(",
")",
"==",
"\"librispeech\"",
":",
"from",
"corpus",
".",
"librispeech",
"import",
"LibriTextDataset",
"as",
"Dataset",
"else",
":",
"raise",
"NotImplementedError",
"# Create dataset",
"bucket_size",
"=",
"batch_size",
"if",
"bucketing",
"else",
"1",
"tr_loader_bs",
"=",
"1",
"if",
"bucketing",
"else",
"batch_size",
"# Do not use bucketing for dev set",
"dv_set",
"=",
"Dataset",
"(",
"path",
",",
"dev_split",
",",
"tokenizer",
",",
"1",
")",
"tr_set",
"=",
"Dataset",
"(",
"path",
",",
"train_split",
",",
"tokenizer",
",",
"bucket_size",
")",
"# Messages to show",
"msg_list",
"=",
"_data_msg",
"(",
"name",
",",
"path",
",",
"train_split",
".",
"__str__",
"(",
")",
",",
"len",
"(",
"tr_set",
")",
",",
"dev_split",
".",
"__str__",
"(",
")",
",",
"len",
"(",
"dv_set",
")",
",",
"batch_size",
",",
"bucketing",
")",
"return",
"tr_set",
",",
"dv_set",
",",
"tr_loader_bs",
",",
"batch_size",
",",
"msg_list"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/data.py#L105-L126 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/data.py | python | load_dataset | (n_jobs, use_gpu, pin_memory, ascending, corpus, audio, text) | return tr_set, dv_set, feat_dim, tokenizer.vocab_size, tokenizer, data_msg | Prepare dataloader for training/validation | Prepare dataloader for training/validation | [
"Prepare",
"dataloader",
"for",
"training",
"/",
"validation"
] | def load_dataset(n_jobs, use_gpu, pin_memory, ascending, corpus, audio, text):
''' Prepare dataloader for training/validation'''
# Audio feature extractor
audio_transform, feat_dim = create_transform(audio.copy())
# Text tokenizer
tokenizer = load_text_encoder(**text)
# Dataset (in testing mode, tr_set=dv_set, dv_set=tt_set)
tr_set, dv_set, tr_loader_bs, dv_loader_bs, mode, data_msg = create_dataset(
tokenizer, ascending, **corpus)
# Collect function
collect_tr = partial(collect_audio_batch,
audio_transform=audio_transform, mode=mode)
collect_dv = partial(collect_audio_batch,
audio_transform=audio_transform, mode='test')
# Shuffle/drop applied to training set only
shuffle = (mode == 'train' and not ascending)
drop_last = shuffle
# Create data loader
tr_set = DataLoader(tr_set, batch_size=tr_loader_bs, shuffle=shuffle, drop_last=drop_last, collate_fn=collect_tr,
num_workers=n_jobs, pin_memory=use_gpu)
dv_set = DataLoader(dv_set, batch_size=dv_loader_bs, shuffle=False, drop_last=False, collate_fn=collect_dv,
num_workers=n_jobs, pin_memory=pin_memory)
# Messages to show
data_msg.append('I/O spec. | Audio feature = {}\t| feature dim = {}\t| Token type = {}\t| Vocab size = {}'
.format(audio['feat_type'], feat_dim, tokenizer.token_type, tokenizer.vocab_size))
return tr_set, dv_set, feat_dim, tokenizer.vocab_size, tokenizer, data_msg | [
"def",
"load_dataset",
"(",
"n_jobs",
",",
"use_gpu",
",",
"pin_memory",
",",
"ascending",
",",
"corpus",
",",
"audio",
",",
"text",
")",
":",
"# Audio feature extractor",
"audio_transform",
",",
"feat_dim",
"=",
"create_transform",
"(",
"audio",
".",
"copy",
"(",
")",
")",
"# Text tokenizer",
"tokenizer",
"=",
"load_text_encoder",
"(",
"*",
"*",
"text",
")",
"# Dataset (in testing mode, tr_set=dv_set, dv_set=tt_set)",
"tr_set",
",",
"dv_set",
",",
"tr_loader_bs",
",",
"dv_loader_bs",
",",
"mode",
",",
"data_msg",
"=",
"create_dataset",
"(",
"tokenizer",
",",
"ascending",
",",
"*",
"*",
"corpus",
")",
"# Collect function",
"collect_tr",
"=",
"partial",
"(",
"collect_audio_batch",
",",
"audio_transform",
"=",
"audio_transform",
",",
"mode",
"=",
"mode",
")",
"collect_dv",
"=",
"partial",
"(",
"collect_audio_batch",
",",
"audio_transform",
"=",
"audio_transform",
",",
"mode",
"=",
"'test'",
")",
"# Shuffle/drop applied to training set only",
"shuffle",
"=",
"(",
"mode",
"==",
"'train'",
"and",
"not",
"ascending",
")",
"drop_last",
"=",
"shuffle",
"# Create data loader",
"tr_set",
"=",
"DataLoader",
"(",
"tr_set",
",",
"batch_size",
"=",
"tr_loader_bs",
",",
"shuffle",
"=",
"shuffle",
",",
"drop_last",
"=",
"drop_last",
",",
"collate_fn",
"=",
"collect_tr",
",",
"num_workers",
"=",
"n_jobs",
",",
"pin_memory",
"=",
"use_gpu",
")",
"dv_set",
"=",
"DataLoader",
"(",
"dv_set",
",",
"batch_size",
"=",
"dv_loader_bs",
",",
"shuffle",
"=",
"False",
",",
"drop_last",
"=",
"False",
",",
"collate_fn",
"=",
"collect_dv",
",",
"num_workers",
"=",
"n_jobs",
",",
"pin_memory",
"=",
"pin_memory",
")",
"# Messages to show",
"data_msg",
".",
"append",
"(",
"'I/O spec. | Audio feature = {}\\t| feature dim = {}\\t| Token type = {}\\t| Vocab size = {}'",
".",
"format",
"(",
"audio",
"[",
"'feat_type'",
"]",
",",
"feat_dim",
",",
"tokenizer",
".",
"token_type",
",",
"tokenizer",
".",
"vocab_size",
")",
")",
"return",
"tr_set",
",",
"dv_set",
",",
"feat_dim",
",",
"tokenizer",
".",
"vocab_size",
",",
"tokenizer",
",",
"data_msg"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/data.py#L129-L156 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/data.py | python | _data_msg | (name, path, train_split, tr_set, dev_split, dv_set, batch_size, bucketing) | return msg_list | List msg for verbose function | List msg for verbose function | [
"List",
"msg",
"for",
"verbose",
"function"
] | def _data_msg(name, path, train_split, tr_set, dev_split, dv_set, batch_size, bucketing):
''' List msg for verbose function '''
msg_list = []
msg_list.append('Data spec. | Corpus = {} (from {})'.format(name, path))
msg_list.append(' | Train sets = {}\t| Number of utts = {}'.format(
train_split, tr_set))
msg_list.append(
' | Dev sets = {}\t| Number of utts = {}'.format(dev_split, dv_set))
msg_list.append(' | Batch size = {}\t\t| Bucketing = {}'.format(
batch_size, bucketing))
return msg_list | [
"def",
"_data_msg",
"(",
"name",
",",
"path",
",",
"train_split",
",",
"tr_set",
",",
"dev_split",
",",
"dv_set",
",",
"batch_size",
",",
"bucketing",
")",
":",
"msg_list",
"=",
"[",
"]",
"msg_list",
".",
"append",
"(",
"'Data spec. | Corpus = {} (from {})'",
".",
"format",
"(",
"name",
",",
"path",
")",
")",
"msg_list",
".",
"append",
"(",
"' | Train sets = {}\\t| Number of utts = {}'",
".",
"format",
"(",
"train_split",
",",
"tr_set",
")",
")",
"msg_list",
".",
"append",
"(",
"' | Dev sets = {}\\t| Number of utts = {}'",
".",
"format",
"(",
"dev_split",
",",
"dv_set",
")",
")",
"msg_list",
".",
"append",
"(",
"' | Batch size = {}\\t\\t| Bucketing = {}'",
".",
"format",
"(",
"batch_size",
",",
"bucketing",
")",
")",
"return",
"msg_list"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/data.py#L181-L191 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | ASR.set_state | (self, prev_state, prev_attn) | Setting up all memory states for beam decoding | Setting up all memory states for beam decoding | [
"Setting",
"up",
"all",
"memory",
"states",
"for",
"beam",
"decoding"
] | def set_state(self, prev_state, prev_attn):
''' Setting up all memory states for beam decoding'''
self.decoder.set_state(prev_state)
self.attention.set_mem(prev_attn) | [
"def",
"set_state",
"(",
"self",
",",
"prev_state",
",",
"prev_attn",
")",
":",
"self",
".",
"decoder",
".",
"set_state",
"(",
"prev_state",
")",
"self",
".",
"attention",
".",
"set_mem",
"(",
"prev_attn",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L48-L51 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | ASR.forward | (self, audio_feature, feature_len, decode_step, tf_rate=0.0, teacher=None,
emb_decoder=None, get_dec_state=False) | return ctc_output, encode_len, att_output, att_seq, dec_state | Arguments
audio_feature - [BxTxD] Acoustic feature with shape
feature_len - [B] Length of each sample in a batch
decode_step - [int] The maximum number of attention decoder steps
tf_rate - [0,1] The probability to perform teacher forcing for each step
teacher - [BxL] Ground truth for teacher forcing with sentence length L
emb_decoder - [obj] Introduces the word embedding decoder, different behavior for training/inference
At training stage, this ONLY affects self-sampling (output remains the same)
At inference stage, this affects output to become log prob. with distribution fusion
get_dec_state - [bool] If true, return decoder state [BxLxD] for other purpose | Arguments
audio_feature - [BxTxD] Acoustic feature with shape
feature_len - [B] Length of each sample in a batch
decode_step - [int] The maximum number of attention decoder steps
tf_rate - [0,1] The probability to perform teacher forcing for each step
teacher - [BxL] Ground truth for teacher forcing with sentence length L
emb_decoder - [obj] Introduces the word embedding decoder, different behavior for training/inference
At training stage, this ONLY affects self-sampling (output remains the same)
At inference stage, this affects output to become log prob. with distribution fusion
get_dec_state - [bool] If true, return decoder state [BxLxD] for other purpose | [
"Arguments",
"audio_feature",
"-",
"[",
"BxTxD",
"]",
"Acoustic",
"feature",
"with",
"shape",
"feature_len",
"-",
"[",
"B",
"]",
"Length",
"of",
"each",
"sample",
"in",
"a",
"batch",
"decode_step",
"-",
"[",
"int",
"]",
"The",
"maximum",
"number",
"of",
"attention",
"decoder",
"steps",
"tf_rate",
"-",
"[",
"0",
"1",
"]",
"The",
"probability",
"to",
"perform",
"teacher",
"forcing",
"for",
"each",
"step",
"teacher",
"-",
"[",
"BxL",
"]",
"Ground",
"truth",
"for",
"teacher",
"forcing",
"with",
"sentence",
"length",
"L",
"emb_decoder",
"-",
"[",
"obj",
"]",
"Introduces",
"the",
"word",
"embedding",
"decoder",
"different",
"behavior",
"for",
"training",
"/",
"inference",
"At",
"training",
"stage",
"this",
"ONLY",
"affects",
"self",
"-",
"sampling",
"(",
"output",
"remains",
"the",
"same",
")",
"At",
"inference",
"stage",
"this",
"affects",
"output",
"to",
"become",
"log",
"prob",
".",
"with",
"distribution",
"fusion",
"get_dec_state",
"-",
"[",
"bool",
"]",
"If",
"true",
"return",
"decoder",
"state",
"[",
"BxLxD",
"]",
"for",
"other",
"purpose"
] | def forward(self, audio_feature, feature_len, decode_step, tf_rate=0.0, teacher=None,
emb_decoder=None, get_dec_state=False):
'''
Arguments
audio_feature - [BxTxD] Acoustic feature with shape
feature_len - [B] Length of each sample in a batch
decode_step - [int] The maximum number of attention decoder steps
tf_rate - [0,1] The probability to perform teacher forcing for each step
teacher - [BxL] Ground truth for teacher forcing with sentence length L
emb_decoder - [obj] Introduces the word embedding decoder, different behavior for training/inference
At training stage, this ONLY affects self-sampling (output remains the same)
At inference stage, this affects output to become log prob. with distribution fusion
get_dec_state - [bool] If true, return decoder state [BxLxD] for other purpose
'''
# Init
bs = audio_feature.shape[0]
ctc_output, att_output, att_seq = None, None, None
dec_state = [] if get_dec_state else None
# Encode
encode_feature, encode_len = self.encoder(audio_feature, feature_len)
# CTC based decoding
if self.enable_ctc:
ctc_output = F.log_softmax(self.ctc_layer(encode_feature), dim=-1)
# Attention based decoding
if self.enable_att:
# Init (init char = <SOS>, reset all rnn state and cell)
self.decoder.init_state(bs)
self.attention.reset_mem()
last_char = self.pre_embed(torch.zeros(
(bs), dtype=torch.long, device=encode_feature.device))
att_seq, output_seq = [], []
# Preprocess data for teacher forcing
if teacher is not None:
teacher = self.embed_drop(self.pre_embed(teacher))
# Decode
for t in range(decode_step):
# Attend (inputs current state of first layer, encoded features)
attn, context = self.attention(
self.decoder.get_query(), encode_feature, encode_len)
# Decode (inputs context + embedded last character)
decoder_input = torch.cat([last_char, context], dim=-1)
cur_char, d_state = self.decoder(decoder_input)
# Prepare output as input of next step
if (teacher is not None):
# Training stage
if (tf_rate == 1) or (torch.rand(1).item() <= tf_rate):
# teacher forcing
last_char = teacher[:, t, :]
else:
# self-sampling (replace by argmax may be another choice)
with torch.no_grad():
if (emb_decoder is not None) and emb_decoder.apply_fuse:
_, cur_prob = emb_decoder(
d_state, cur_char, return_loss=False)
else:
cur_prob = cur_char.softmax(dim=-1)
sampled_char = Categorical(cur_prob).sample()
last_char = self.embed_drop(
self.pre_embed(sampled_char))
else:
# Inference stage
if (emb_decoder is not None) and emb_decoder.apply_fuse:
_, cur_char = emb_decoder(
d_state, cur_char, return_loss=False)
# argmax for inference
last_char = self.pre_embed(torch.argmax(cur_char, dim=-1))
# save output of each step
output_seq.append(cur_char)
att_seq.append(attn)
if get_dec_state:
dec_state.append(d_state)
att_output = torch.stack(output_seq, dim=1) # BxTxV
att_seq = torch.stack(att_seq, dim=2) # BxNxDtxT
if get_dec_state:
dec_state = torch.stack(dec_state, dim=1)
return ctc_output, encode_len, att_output, att_seq, dec_state | [
"def",
"forward",
"(",
"self",
",",
"audio_feature",
",",
"feature_len",
",",
"decode_step",
",",
"tf_rate",
"=",
"0.0",
",",
"teacher",
"=",
"None",
",",
"emb_decoder",
"=",
"None",
",",
"get_dec_state",
"=",
"False",
")",
":",
"# Init",
"bs",
"=",
"audio_feature",
".",
"shape",
"[",
"0",
"]",
"ctc_output",
",",
"att_output",
",",
"att_seq",
"=",
"None",
",",
"None",
",",
"None",
"dec_state",
"=",
"[",
"]",
"if",
"get_dec_state",
"else",
"None",
"# Encode",
"encode_feature",
",",
"encode_len",
"=",
"self",
".",
"encoder",
"(",
"audio_feature",
",",
"feature_len",
")",
"# CTC based decoding",
"if",
"self",
".",
"enable_ctc",
":",
"ctc_output",
"=",
"F",
".",
"log_softmax",
"(",
"self",
".",
"ctc_layer",
"(",
"encode_feature",
")",
",",
"dim",
"=",
"-",
"1",
")",
"# Attention based decoding",
"if",
"self",
".",
"enable_att",
":",
"# Init (init char = <SOS>, reset all rnn state and cell)",
"self",
".",
"decoder",
".",
"init_state",
"(",
"bs",
")",
"self",
".",
"attention",
".",
"reset_mem",
"(",
")",
"last_char",
"=",
"self",
".",
"pre_embed",
"(",
"torch",
".",
"zeros",
"(",
"(",
"bs",
")",
",",
"dtype",
"=",
"torch",
".",
"long",
",",
"device",
"=",
"encode_feature",
".",
"device",
")",
")",
"att_seq",
",",
"output_seq",
"=",
"[",
"]",
",",
"[",
"]",
"# Preprocess data for teacher forcing",
"if",
"teacher",
"is",
"not",
"None",
":",
"teacher",
"=",
"self",
".",
"embed_drop",
"(",
"self",
".",
"pre_embed",
"(",
"teacher",
")",
")",
"# Decode",
"for",
"t",
"in",
"range",
"(",
"decode_step",
")",
":",
"# Attend (inputs current state of first layer, encoded features)",
"attn",
",",
"context",
"=",
"self",
".",
"attention",
"(",
"self",
".",
"decoder",
".",
"get_query",
"(",
")",
",",
"encode_feature",
",",
"encode_len",
")",
"# Decode (inputs context + embedded last character)",
"decoder_input",
"=",
"torch",
".",
"cat",
"(",
"[",
"last_char",
",",
"context",
"]",
",",
"dim",
"=",
"-",
"1",
")",
"cur_char",
",",
"d_state",
"=",
"self",
".",
"decoder",
"(",
"decoder_input",
")",
"# Prepare output as input of next step",
"if",
"(",
"teacher",
"is",
"not",
"None",
")",
":",
"# Training stage",
"if",
"(",
"tf_rate",
"==",
"1",
")",
"or",
"(",
"torch",
".",
"rand",
"(",
"1",
")",
".",
"item",
"(",
")",
"<=",
"tf_rate",
")",
":",
"# teacher forcing",
"last_char",
"=",
"teacher",
"[",
":",
",",
"t",
",",
":",
"]",
"else",
":",
"# self-sampling (replace by argmax may be another choice)",
"with",
"torch",
".",
"no_grad",
"(",
")",
":",
"if",
"(",
"emb_decoder",
"is",
"not",
"None",
")",
"and",
"emb_decoder",
".",
"apply_fuse",
":",
"_",
",",
"cur_prob",
"=",
"emb_decoder",
"(",
"d_state",
",",
"cur_char",
",",
"return_loss",
"=",
"False",
")",
"else",
":",
"cur_prob",
"=",
"cur_char",
".",
"softmax",
"(",
"dim",
"=",
"-",
"1",
")",
"sampled_char",
"=",
"Categorical",
"(",
"cur_prob",
")",
".",
"sample",
"(",
")",
"last_char",
"=",
"self",
".",
"embed_drop",
"(",
"self",
".",
"pre_embed",
"(",
"sampled_char",
")",
")",
"else",
":",
"# Inference stage",
"if",
"(",
"emb_decoder",
"is",
"not",
"None",
")",
"and",
"emb_decoder",
".",
"apply_fuse",
":",
"_",
",",
"cur_char",
"=",
"emb_decoder",
"(",
"d_state",
",",
"cur_char",
",",
"return_loss",
"=",
"False",
")",
"# argmax for inference",
"last_char",
"=",
"self",
".",
"pre_embed",
"(",
"torch",
".",
"argmax",
"(",
"cur_char",
",",
"dim",
"=",
"-",
"1",
")",
")",
"# save output of each step",
"output_seq",
".",
"append",
"(",
"cur_char",
")",
"att_seq",
".",
"append",
"(",
"attn",
")",
"if",
"get_dec_state",
":",
"dec_state",
".",
"append",
"(",
"d_state",
")",
"att_output",
"=",
"torch",
".",
"stack",
"(",
"output_seq",
",",
"dim",
"=",
"1",
")",
"# BxTxV",
"att_seq",
"=",
"torch",
".",
"stack",
"(",
"att_seq",
",",
"dim",
"=",
"2",
")",
"# BxNxDtxT",
"if",
"get_dec_state",
":",
"dec_state",
"=",
"torch",
".",
"stack",
"(",
"dec_state",
",",
"dim",
"=",
"1",
")",
"return",
"ctc_output",
",",
"encode_len",
",",
"att_output",
",",
"att_seq",
",",
"dec_state"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L72-L155 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | Decoder.init_state | (self, bs) | return self.get_state() | Set all hidden states to zeros | Set all hidden states to zeros | [
"Set",
"all",
"hidden",
"states",
"to",
"zeros"
] | def init_state(self, bs):
''' Set all hidden states to zeros '''
device = next(self.parameters()).device
if self.enable_cell:
self.hidden_state = (torch.zeros((self.layer, bs, self.dim), device=device),
torch.zeros((self.layer, bs, self.dim), device=device))
else:
self.hidden_state = torch.zeros(
(self.layer, bs, self.dim), device=device)
return self.get_state() | [
"def",
"init_state",
"(",
"self",
",",
"bs",
")",
":",
"device",
"=",
"next",
"(",
"self",
".",
"parameters",
"(",
")",
")",
".",
"device",
"if",
"self",
".",
"enable_cell",
":",
"self",
".",
"hidden_state",
"=",
"(",
"torch",
".",
"zeros",
"(",
"(",
"self",
".",
"layer",
",",
"bs",
",",
"self",
".",
"dim",
")",
",",
"device",
"=",
"device",
")",
",",
"torch",
".",
"zeros",
"(",
"(",
"self",
".",
"layer",
",",
"bs",
",",
"self",
".",
"dim",
")",
",",
"device",
"=",
"device",
")",
")",
"else",
":",
"self",
".",
"hidden_state",
"=",
"torch",
".",
"zeros",
"(",
"(",
"self",
".",
"layer",
",",
"bs",
",",
"self",
".",
"dim",
")",
",",
"device",
"=",
"device",
")",
"return",
"self",
".",
"get_state",
"(",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L180-L189 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | Decoder.set_state | (self, hidden_state) | Set all hidden states/cells, for decoding purpose | Set all hidden states/cells, for decoding purpose | [
"Set",
"all",
"hidden",
"states",
"/",
"cells",
"for",
"decoding",
"purpose"
] | def set_state(self, hidden_state):
''' Set all hidden states/cells, for decoding purpose'''
device = next(self.parameters()).device
if self.enable_cell:
self.hidden_state = (hidden_state[0].to(
device), hidden_state[1].to(device))
else:
self.hidden_state = hidden_state.to(device) | [
"def",
"set_state",
"(",
"self",
",",
"hidden_state",
")",
":",
"device",
"=",
"next",
"(",
"self",
".",
"parameters",
"(",
")",
")",
".",
"device",
"if",
"self",
".",
"enable_cell",
":",
"self",
".",
"hidden_state",
"=",
"(",
"hidden_state",
"[",
"0",
"]",
".",
"to",
"(",
"device",
")",
",",
"hidden_state",
"[",
"1",
"]",
".",
"to",
"(",
"device",
")",
")",
"else",
":",
"self",
".",
"hidden_state",
"=",
"hidden_state",
".",
"to",
"(",
"device",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L191-L198 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | Decoder.get_state | (self) | Return all hidden states/cells, for decoding purpose | Return all hidden states/cells, for decoding purpose | [
"Return",
"all",
"hidden",
"states",
"/",
"cells",
"for",
"decoding",
"purpose"
] | def get_state(self):
''' Return all hidden states/cells, for decoding purpose'''
if self.enable_cell:
return (self.hidden_state[0].cpu(), self.hidden_state[1].cpu())
else:
return self.hidden_state.cpu() | [
"def",
"get_state",
"(",
"self",
")",
":",
"if",
"self",
".",
"enable_cell",
":",
"return",
"(",
"self",
".",
"hidden_state",
"[",
"0",
"]",
".",
"cpu",
"(",
")",
",",
"self",
".",
"hidden_state",
"[",
"1",
"]",
".",
"cpu",
"(",
")",
")",
"else",
":",
"return",
"self",
".",
"hidden_state",
".",
"cpu",
"(",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L200-L205 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | Decoder.get_query | (self) | Return state of all layers as query for attention | Return state of all layers as query for attention | [
"Return",
"state",
"of",
"all",
"layers",
"as",
"query",
"for",
"attention"
] | def get_query(self):
''' Return state of all layers as query for attention '''
if self.enable_cell:
return self.hidden_state[0].transpose(0, 1).reshape(-1, self.dim*self.layer)
else:
return self.hidden_state.transpose(0, 1).reshape(-1, self.dim*self.layer) | [
"def",
"get_query",
"(",
"self",
")",
":",
"if",
"self",
".",
"enable_cell",
":",
"return",
"self",
".",
"hidden_state",
"[",
"0",
"]",
".",
"transpose",
"(",
"0",
",",
"1",
")",
".",
"reshape",
"(",
"-",
"1",
",",
"self",
".",
"dim",
"*",
"self",
".",
"layer",
")",
"else",
":",
"return",
"self",
".",
"hidden_state",
".",
"transpose",
"(",
"0",
",",
"1",
")",
".",
"reshape",
"(",
"-",
"1",
",",
"self",
".",
"dim",
"*",
"self",
".",
"layer",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L207-L212 |
||
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/asr.py | python | Decoder.forward | (self, x) | return char, x | Decode and transform into vocab | Decode and transform into vocab | [
"Decode",
"and",
"transform",
"into",
"vocab"
] | def forward(self, x):
''' Decode and transform into vocab '''
if not self.training:
self.layers.flatten_parameters()
x, self.hidden_state = self.layers(x.unsqueeze(1), self.hidden_state)
x = x.squeeze(1)
char = self.char_trans(self.final_dropout(x))
return char, x | [
"def",
"forward",
"(",
"self",
",",
"x",
")",
":",
"if",
"not",
"self",
".",
"training",
":",
"self",
".",
"layers",
".",
"flatten_parameters",
"(",
")",
"x",
",",
"self",
".",
"hidden_state",
"=",
"self",
".",
"layers",
"(",
"x",
".",
"unsqueeze",
"(",
"1",
")",
",",
"self",
".",
"hidden_state",
")",
"x",
"=",
"x",
".",
"squeeze",
"(",
"1",
")",
"char",
"=",
"self",
".",
"char_trans",
"(",
"self",
".",
"final_dropout",
"(",
"x",
")",
")",
"return",
"char",
",",
"x"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/asr.py#L214-L221 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/ctc.py | python | CTCPrefixScore.full_compute | (self, g, r_prev) | return psi, np.rollaxis(r, 2) | Given prefix g, return the probability of all possible sequence y (where y = concat(g,c))
This function computes all possible tokens for c (memory inefficient) | Given prefix g, return the probability of all possible sequence y (where y = concat(g,c))
This function computes all possible tokens for c (memory inefficient) | [
"Given",
"prefix",
"g",
"return",
"the",
"probability",
"of",
"all",
"possible",
"sequence",
"y",
"(",
"where",
"y",
"=",
"concat",
"(",
"g",
"c",
"))",
"This",
"function",
"computes",
"all",
"possible",
"tokens",
"for",
"c",
"(",
"memory",
"inefficient",
")"
] | def full_compute(self, g, r_prev):
'''Given prefix g, return the probability of all possible sequence y (where y = concat(g,c))
This function computes all possible tokens for c (memory inefficient)'''
prefix_length = len(g)
last_char = g[-1] if prefix_length > 0 else 0
# init. r
r = np.full((self.input_length, 2, self.odim),
self.logzero, dtype=np.float32)
# start from len(g) because is impossible for CTC to generate |y|>|X|
start = max(1, prefix_length)
if prefix_length == 0:
r[0, 0, :] = self.x[0, :] # if g = <sos>
psi = r[start-1, 0, :]
phi = np.logaddexp(r_prev[:, 0], r_prev[:, 1])
for t in range(start, self.input_length):
# prev_blank
prev_blank = np.full((self.odim), r_prev[t-1, 1], dtype=np.float32)
# prev_nonblank
prev_nonblank = np.full(
(self.odim), r_prev[t-1, 0], dtype=np.float32)
prev_nonblank[last_char] = self.logzero
phi = np.logaddexp(prev_nonblank, prev_blank)
# P(h|current step is non-blank) = [ P(prev. step = y) + P()]*P(c)
r[t, 0, :] = np.logaddexp(r[t-1, 0, :], phi) + self.x[t, :]
# P(h|current step is blank) = [P(prev. step is blank) + P(prev. step is non-blank)]*P(now=blank)
r[t, 1, :] = np.logaddexp(
r[t-1, 1, :], r[t-1, 0, :]) + self.x[t, self.blank]
psi = np.logaddexp(psi, phi+self.x[t, :])
#psi[self.eos] = np.logaddexp(r_prev[-1,0], r_prev[-1,1])
return psi, np.rollaxis(r, 2) | [
"def",
"full_compute",
"(",
"self",
",",
"g",
",",
"r_prev",
")",
":",
"prefix_length",
"=",
"len",
"(",
"g",
")",
"last_char",
"=",
"g",
"[",
"-",
"1",
"]",
"if",
"prefix_length",
">",
"0",
"else",
"0",
"# init. r",
"r",
"=",
"np",
".",
"full",
"(",
"(",
"self",
".",
"input_length",
",",
"2",
",",
"self",
".",
"odim",
")",
",",
"self",
".",
"logzero",
",",
"dtype",
"=",
"np",
".",
"float32",
")",
"# start from len(g) because is impossible for CTC to generate |y|>|X|",
"start",
"=",
"max",
"(",
"1",
",",
"prefix_length",
")",
"if",
"prefix_length",
"==",
"0",
":",
"r",
"[",
"0",
",",
"0",
",",
":",
"]",
"=",
"self",
".",
"x",
"[",
"0",
",",
":",
"]",
"# if g = <sos>",
"psi",
"=",
"r",
"[",
"start",
"-",
"1",
",",
"0",
",",
":",
"]",
"phi",
"=",
"np",
".",
"logaddexp",
"(",
"r_prev",
"[",
":",
",",
"0",
"]",
",",
"r_prev",
"[",
":",
",",
"1",
"]",
")",
"for",
"t",
"in",
"range",
"(",
"start",
",",
"self",
".",
"input_length",
")",
":",
"# prev_blank",
"prev_blank",
"=",
"np",
".",
"full",
"(",
"(",
"self",
".",
"odim",
")",
",",
"r_prev",
"[",
"t",
"-",
"1",
",",
"1",
"]",
",",
"dtype",
"=",
"np",
".",
"float32",
")",
"# prev_nonblank",
"prev_nonblank",
"=",
"np",
".",
"full",
"(",
"(",
"self",
".",
"odim",
")",
",",
"r_prev",
"[",
"t",
"-",
"1",
",",
"0",
"]",
",",
"dtype",
"=",
"np",
".",
"float32",
")",
"prev_nonblank",
"[",
"last_char",
"]",
"=",
"self",
".",
"logzero",
"phi",
"=",
"np",
".",
"logaddexp",
"(",
"prev_nonblank",
",",
"prev_blank",
")",
"# P(h|current step is non-blank) = [ P(prev. step = y) + P()]*P(c)",
"r",
"[",
"t",
",",
"0",
",",
":",
"]",
"=",
"np",
".",
"logaddexp",
"(",
"r",
"[",
"t",
"-",
"1",
",",
"0",
",",
":",
"]",
",",
"phi",
")",
"+",
"self",
".",
"x",
"[",
"t",
",",
":",
"]",
"# P(h|current step is blank) = [P(prev. step is blank) + P(prev. step is non-blank)]*P(now=blank)",
"r",
"[",
"t",
",",
"1",
",",
":",
"]",
"=",
"np",
".",
"logaddexp",
"(",
"r",
"[",
"t",
"-",
"1",
",",
"1",
",",
":",
"]",
",",
"r",
"[",
"t",
"-",
"1",
",",
"0",
",",
":",
"]",
")",
"+",
"self",
".",
"x",
"[",
"t",
",",
"self",
".",
"blank",
"]",
"psi",
"=",
"np",
".",
"logaddexp",
"(",
"psi",
",",
"phi",
"+",
"self",
".",
"x",
"[",
"t",
",",
":",
"]",
")",
"#psi[self.eos] = np.logaddexp(r_prev[-1,0], r_prev[-1,1])",
"return",
"psi",
",",
"np",
".",
"rollaxis",
"(",
"r",
",",
"2",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/ctc.py#L37-L74 |
|
Alexander-H-Liu/End-to-end-ASR-Pytorch | 1103d144423e8e692f1d18cd9db27a96cb49fb9d | src/ctc.py | python | CTCPrefixScore.cheap_compute | (self, g, r_prev, candidates) | return psi, np.rollaxis(r, 2) | Given prefix g, return the probability of all possible sequence y (where y = concat(g,c))
This function considers only those tokens in candidates for c (memory efficient) | Given prefix g, return the probability of all possible sequence y (where y = concat(g,c))
This function considers only those tokens in candidates for c (memory efficient) | [
"Given",
"prefix",
"g",
"return",
"the",
"probability",
"of",
"all",
"possible",
"sequence",
"y",
"(",
"where",
"y",
"=",
"concat",
"(",
"g",
"c",
"))",
"This",
"function",
"considers",
"only",
"those",
"tokens",
"in",
"candidates",
"for",
"c",
"(",
"memory",
"efficient",
")"
] | def cheap_compute(self, g, r_prev, candidates):
'''Given prefix g, return the probability of all possible sequence y (where y = concat(g,c))
This function considers only those tokens in candidates for c (memory efficient)'''
prefix_length = len(g)
odim = len(candidates)
last_char = g[-1] if prefix_length > 0 else 0
# init. r
r = np.full((self.input_length, 2, len(candidates)),
self.logzero, dtype=np.float32)
# start from len(g) because is impossible for CTC to generate |y|>|X|
start = max(1, prefix_length)
if prefix_length == 0:
r[0, 0, :] = self.x[0, candidates] # if g = <sos>
psi = r[start-1, 0, :]
# Phi = (prev_nonblank,prev_blank)
sum_prev = np.logaddexp(r_prev[:, 0], r_prev[:, 1])
phi = np.repeat(sum_prev[..., None],odim,axis=-1)
# Handle edge case : last tok of prefix in candidates
if prefix_length>0 and last_char in candidates:
phi[:,candidates.index(last_char)] = r_prev[:,1]
for t in range(start, self.input_length):
# prev_blank
# prev_blank = np.full((odim), r_prev[t-1, 1], dtype=np.float32)
# prev_nonblank
# prev_nonblank = np.full((odim), r_prev[t-1, 0], dtype=np.float32)
# phi = np.logaddexp(prev_nonblank, prev_blank)
# P(h|current step is non-blank) = P(prev. step = y)*P(c)
r[t, 0, :] = np.logaddexp( r[t-1, 0, :], phi[t-1]) + self.x[t, candidates]
# P(h|current step is blank) = [P(prev. step is blank) + P(prev. step is non-blank)]*P(now=blank)
r[t, 1, :] = np.logaddexp( r[t-1, 1, :], r[t-1, 0, :]) + self.x[t, self.blank]
psi = np.logaddexp(psi, phi[t-1,]+self.x[t, candidates])
# P(end of sentence) = P(g)
if self.eos in candidates:
psi[candidates.index(self.eos)] = sum_prev[-1]
return psi, np.rollaxis(r, 2) | [
"def",
"cheap_compute",
"(",
"self",
",",
"g",
",",
"r_prev",
",",
"candidates",
")",
":",
"prefix_length",
"=",
"len",
"(",
"g",
")",
"odim",
"=",
"len",
"(",
"candidates",
")",
"last_char",
"=",
"g",
"[",
"-",
"1",
"]",
"if",
"prefix_length",
">",
"0",
"else",
"0",
"# init. r",
"r",
"=",
"np",
".",
"full",
"(",
"(",
"self",
".",
"input_length",
",",
"2",
",",
"len",
"(",
"candidates",
")",
")",
",",
"self",
".",
"logzero",
",",
"dtype",
"=",
"np",
".",
"float32",
")",
"# start from len(g) because is impossible for CTC to generate |y|>|X|",
"start",
"=",
"max",
"(",
"1",
",",
"prefix_length",
")",
"if",
"prefix_length",
"==",
"0",
":",
"r",
"[",
"0",
",",
"0",
",",
":",
"]",
"=",
"self",
".",
"x",
"[",
"0",
",",
"candidates",
"]",
"# if g = <sos>",
"psi",
"=",
"r",
"[",
"start",
"-",
"1",
",",
"0",
",",
":",
"]",
"# Phi = (prev_nonblank,prev_blank)",
"sum_prev",
"=",
"np",
".",
"logaddexp",
"(",
"r_prev",
"[",
":",
",",
"0",
"]",
",",
"r_prev",
"[",
":",
",",
"1",
"]",
")",
"phi",
"=",
"np",
".",
"repeat",
"(",
"sum_prev",
"[",
"...",
",",
"None",
"]",
",",
"odim",
",",
"axis",
"=",
"-",
"1",
")",
"# Handle edge case : last tok of prefix in candidates",
"if",
"prefix_length",
">",
"0",
"and",
"last_char",
"in",
"candidates",
":",
"phi",
"[",
":",
",",
"candidates",
".",
"index",
"(",
"last_char",
")",
"]",
"=",
"r_prev",
"[",
":",
",",
"1",
"]",
"for",
"t",
"in",
"range",
"(",
"start",
",",
"self",
".",
"input_length",
")",
":",
"# prev_blank",
"# prev_blank = np.full((odim), r_prev[t-1, 1], dtype=np.float32)",
"# prev_nonblank",
"# prev_nonblank = np.full((odim), r_prev[t-1, 0], dtype=np.float32)",
"# phi = np.logaddexp(prev_nonblank, prev_blank)",
"# P(h|current step is non-blank) = P(prev. step = y)*P(c)",
"r",
"[",
"t",
",",
"0",
",",
":",
"]",
"=",
"np",
".",
"logaddexp",
"(",
"r",
"[",
"t",
"-",
"1",
",",
"0",
",",
":",
"]",
",",
"phi",
"[",
"t",
"-",
"1",
"]",
")",
"+",
"self",
".",
"x",
"[",
"t",
",",
"candidates",
"]",
"# P(h|current step is blank) = [P(prev. step is blank) + P(prev. step is non-blank)]*P(now=blank)",
"r",
"[",
"t",
",",
"1",
",",
":",
"]",
"=",
"np",
".",
"logaddexp",
"(",
"r",
"[",
"t",
"-",
"1",
",",
"1",
",",
":",
"]",
",",
"r",
"[",
"t",
"-",
"1",
",",
"0",
",",
":",
"]",
")",
"+",
"self",
".",
"x",
"[",
"t",
",",
"self",
".",
"blank",
"]",
"psi",
"=",
"np",
".",
"logaddexp",
"(",
"psi",
",",
"phi",
"[",
"t",
"-",
"1",
",",
"]",
"+",
"self",
".",
"x",
"[",
"t",
",",
"candidates",
"]",
")",
"# P(end of sentence) = P(g)",
"if",
"self",
".",
"eos",
"in",
"candidates",
":",
"psi",
"[",
"candidates",
".",
"index",
"(",
"self",
".",
"eos",
")",
"]",
"=",
"sum_prev",
"[",
"-",
"1",
"]",
"return",
"psi",
",",
"np",
".",
"rollaxis",
"(",
"r",
",",
"2",
")"
] | https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch/blob/1103d144423e8e692f1d18cd9db27a96cb49fb9d/src/ctc.py#L76-L116 |
|
AlfredXiangWu/LightCNN | 8b33107e836374a892efecd149d2016170167fdd | train.py | python | accuracy | (output, target, topk=(1,)) | return res | Computes the precision@k for the specified values of k | Computes the precision | [
"Computes",
"the",
"precision"
] | def accuracy(output, target, topk=(1,)):
"""Computes the precision@k for the specified values of k"""
maxk = max(topk)
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
correct = pred.eq(target.view(1, -1).expand_as(pred))
res = []
for k in topk:
correct_k = correct[:k].view(-1).float().sum(0)
res.append(correct_k.mul_(100.0 / batch_size))
return res | [
"def",
"accuracy",
"(",
"output",
",",
"target",
",",
"topk",
"=",
"(",
"1",
",",
")",
")",
":",
"maxk",
"=",
"max",
"(",
"topk",
")",
"batch_size",
"=",
"target",
".",
"size",
"(",
"0",
")",
"_",
",",
"pred",
"=",
"output",
".",
"topk",
"(",
"maxk",
",",
"1",
",",
"True",
",",
"True",
")",
"pred",
"=",
"pred",
".",
"t",
"(",
")",
"correct",
"=",
"pred",
".",
"eq",
"(",
"target",
".",
"view",
"(",
"1",
",",
"-",
"1",
")",
".",
"expand_as",
"(",
"pred",
")",
")",
"res",
"=",
"[",
"]",
"for",
"k",
"in",
"topk",
":",
"correct_k",
"=",
"correct",
"[",
":",
"k",
"]",
".",
"view",
"(",
"-",
"1",
")",
".",
"float",
"(",
")",
".",
"sum",
"(",
"0",
")",
"res",
".",
"append",
"(",
"correct_k",
".",
"mul_",
"(",
"100.0",
"/",
"batch_size",
")",
")",
"return",
"res"
] | https://github.com/AlfredXiangWu/LightCNN/blob/8b33107e836374a892efecd149d2016170167fdd/train.py#L269-L282 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/debytes.py | python | debytes | (string) | Decode string if it is a bytes object.
This is necessary since Neovim, correctly, gives strings as a str, but regular
Vim leaves them encoded as bytes. | Decode string if it is a bytes object. | [
"Decode",
"string",
"if",
"it",
"is",
"a",
"bytes",
"object",
"."
] | def debytes(string):
"""
Decode string if it is a bytes object.
This is necessary since Neovim, correctly, gives strings as a str, but regular
Vim leaves them encoded as bytes.
"""
try:
return string.decode()
except AttributeError:
return string | [
"def",
"debytes",
"(",
"string",
")",
":",
"try",
":",
"return",
"string",
".",
"decode",
"(",
")",
"except",
"AttributeError",
":",
"return",
"string"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/debytes.py#L1-L11 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/window.py | python | cursor_in_same_position | (a, b) | return a.lnum == b.lnum and a.col == b.col | Check if the given views have the cursor on the same position.
The scroll position and other properties may differ. | Check if the given views have the cursor on the same position. | [
"Check",
"if",
"the",
"given",
"views",
"have",
"the",
"cursor",
"on",
"the",
"same",
"position",
"."
] | def cursor_in_same_position(a, b):
"""
Check if the given views have the cursor on the same position.
The scroll position and other properties may differ.
"""
return a.lnum == b.lnum and a.col == b.col | [
"def",
"cursor_in_same_position",
"(",
"a",
",",
"b",
")",
":",
"return",
"a",
".",
"lnum",
"==",
"b",
".",
"lnum",
"and",
"a",
".",
"col",
"==",
"b",
".",
"col"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/window.py#L19-L25 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/server.py | python | Server.message_loop | (self) | Continuously wait for and handle instructions from the client.
This waiting blocks Vim, but that does not matter since nobody is looking at
it. Blocking also prevents CPU resources from being wasted on redrawing.
:raises EOFError: when the connection is closed. | Continuously wait for and handle instructions from the client. | [
"Continuously",
"wait",
"for",
"and",
"handle",
"instructions",
"from",
"the",
"client",
"."
] | def message_loop(self):
"""
Continuously wait for and handle instructions from the client.
This waiting blocks Vim, but that does not matter since nobody is looking at
it. Blocking also prevents CPU resources from being wasted on redrawing.
:raises EOFError: when the connection is closed.
"""
while True:
try:
data = self.client_connection.recv()
# If there is still data waiting, then multiple requests were sent,
# so we skip pathfinding and move on to the next one
if not self.client_connection.poll():
self.do_action(data)
except:
# Send any unexpected exceptions back to the client
# to be displayed for debugging purposes
self.client_connection.send(("ERROR", traceback.format_exc())) | [
"def",
"message_loop",
"(",
"self",
")",
":",
"while",
"True",
":",
"try",
":",
"data",
"=",
"self",
".",
"client_connection",
".",
"recv",
"(",
")",
"# If there is still data waiting, then multiple requests were sent,",
"# so we skip pathfinding and move on to the next one",
"if",
"not",
"self",
".",
"client_connection",
".",
"poll",
"(",
")",
":",
"self",
".",
"do_action",
"(",
"data",
")",
"except",
":",
"# Send any unexpected exceptions back to the client",
"# to be displayed for debugging purposes",
"self",
".",
"client_connection",
".",
"send",
"(",
"(",
"\"ERROR\"",
",",
"traceback",
".",
"format_exc",
"(",
")",
")",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/server.py#L41-L61 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/server.py | python | Server.do_action | (self, data) | Process an instruction from the client. | Process an instruction from the client. | [
"Process",
"an",
"instruction",
"from",
"the",
"client",
"."
] | def do_action(self, data):
"""Process an instruction from the client."""
self.start_view = data["start"]
self.target_view = data["target"]
self.min_line = data["min_line"]
self.max_line = data["max_line"]
vim.current.buffer[:] = data["buffer"]
vim.current.window.options["wrap"] = data["wrap"]
vim.options["scrolloff"] = data["scrolloff"]
vim.options["sidescrolloff"] = data["sidescrolloff"]
# Set size of the entire Vim display to match the size of the
# corresponding window in the client
vim.options["columns"] = int(data["size"][0])
vim.options["lines"] = vim.options["cmdheight"] + int(data["size"][1])
self.pathfind() | [
"def",
"do_action",
"(",
"self",
",",
"data",
")",
":",
"self",
".",
"start_view",
"=",
"data",
"[",
"\"start\"",
"]",
"self",
".",
"target_view",
"=",
"data",
"[",
"\"target\"",
"]",
"self",
".",
"min_line",
"=",
"data",
"[",
"\"min_line\"",
"]",
"self",
".",
"max_line",
"=",
"data",
"[",
"\"max_line\"",
"]",
"vim",
".",
"current",
".",
"buffer",
"[",
":",
"]",
"=",
"data",
"[",
"\"buffer\"",
"]",
"vim",
".",
"current",
".",
"window",
".",
"options",
"[",
"\"wrap\"",
"]",
"=",
"data",
"[",
"\"wrap\"",
"]",
"vim",
".",
"options",
"[",
"\"scrolloff\"",
"]",
"=",
"data",
"[",
"\"scrolloff\"",
"]",
"vim",
".",
"options",
"[",
"\"sidescrolloff\"",
"]",
"=",
"data",
"[",
"\"sidescrolloff\"",
"]",
"# Set size of the entire Vim display to match the size of the",
"# corresponding window in the client",
"vim",
".",
"options",
"[",
"\"columns\"",
"]",
"=",
"int",
"(",
"data",
"[",
"\"size\"",
"]",
"[",
"0",
"]",
")",
"vim",
".",
"options",
"[",
"\"lines\"",
"]",
"=",
"vim",
".",
"options",
"[",
"\"cmdheight\"",
"]",
"+",
"int",
"(",
"data",
"[",
"\"size\"",
"]",
"[",
"1",
"]",
")",
"self",
".",
"pathfind",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/server.py#L63-L81 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/server.py | python | Server.pathfind | (self) | Run the pathfinder, then send the result back to the client. | Run the pathfinder, then send the result back to the client. | [
"Run",
"the",
"pathfinder",
"then",
"send",
"the",
"result",
"back",
"to",
"the",
"client",
"."
] | def pathfind(self):
"""Run the pathfinder, then send the result back to the client."""
dijkstra = Dijkstra(
self.start_view, self.target_view, self.min_line, self.max_line
)
motions = dijkstra.find_path(self.client_connection)
# If motions is None, that means we cancelled pathfinding because a new
# request was received. We also check for another request now in case one was
# sent during the last iteration of the pathfinding loop.
if not (motions is None or self.client_connection.poll()):
self.client_connection.send(("RESULT", motions)) | [
"def",
"pathfind",
"(",
"self",
")",
":",
"dijkstra",
"=",
"Dijkstra",
"(",
"self",
".",
"start_view",
",",
"self",
".",
"target_view",
",",
"self",
".",
"min_line",
",",
"self",
".",
"max_line",
")",
"motions",
"=",
"dijkstra",
".",
"find_path",
"(",
"self",
".",
"client_connection",
")",
"# If motions is None, that means we cancelled pathfinding because a new",
"# request was received. We also check for another request now in case one was",
"# sent during the last iteration of the pathfinding loop.",
"if",
"not",
"(",
"motions",
"is",
"None",
"or",
"self",
".",
"client_connection",
".",
"poll",
"(",
")",
")",
":",
"self",
".",
"client_connection",
".",
"send",
"(",
"(",
"\"RESULT\"",
",",
"motions",
")",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/server.py#L83-L94 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/dijkstra.py | python | Dijkstra.find_path | (self, client_connection) | Use Dijkstra's algorithm to find the optimal sequence of motions.
:param client_connection: If another pathfinding request is waiting on this
connection, exit (returning None) as soon as possible. This cancels the
pathfinding, moving on to the new request immediately. | Use Dijkstra's algorithm to find the optimal sequence of motions. | [
"Use",
"Dijkstra",
"s",
"algorithm",
"to",
"find",
"the",
"optimal",
"sequence",
"of",
"motions",
"."
] | def find_path(self, client_connection):
"""
Use Dijkstra's algorithm to find the optimal sequence of motions.
:param client_connection: If another pathfinding request is waiting on this
connection, exit (returning None) as soon as possible. This cancels the
pathfinding, moving on to the new request immediately.
"""
while len(self._open_queue) > 0 and not client_connection.poll():
current_node_key, current_distance = self._open_queue.popitem()
current_node = self._open_nodes.pop(current_node_key)
self._closed_nodes.add(current_node_key)
if current_node.is_target():
return current_node.reconstruct_path()
for node in current_node.get_neighbours():
if node.key in self._closed_nodes:
continue
new_distance = current_distance + current_node.motion_weight(
node.came_by_motion
)
if (
node.key not in self._open_nodes
or new_distance < self._open_queue[node.key]
):
node.set_came_from(current_node)
self._open_nodes[node.key] = node
self._open_queue[node.key] = new_distance | [
"def",
"find_path",
"(",
"self",
",",
"client_connection",
")",
":",
"while",
"len",
"(",
"self",
".",
"_open_queue",
")",
">",
"0",
"and",
"not",
"client_connection",
".",
"poll",
"(",
")",
":",
"current_node_key",
",",
"current_distance",
"=",
"self",
".",
"_open_queue",
".",
"popitem",
"(",
")",
"current_node",
"=",
"self",
".",
"_open_nodes",
".",
"pop",
"(",
"current_node_key",
")",
"self",
".",
"_closed_nodes",
".",
"add",
"(",
"current_node_key",
")",
"if",
"current_node",
".",
"is_target",
"(",
")",
":",
"return",
"current_node",
".",
"reconstruct_path",
"(",
")",
"for",
"node",
"in",
"current_node",
".",
"get_neighbours",
"(",
")",
":",
"if",
"node",
".",
"key",
"in",
"self",
".",
"_closed_nodes",
":",
"continue",
"new_distance",
"=",
"current_distance",
"+",
"current_node",
".",
"motion_weight",
"(",
"node",
".",
"came_by_motion",
")",
"if",
"(",
"node",
".",
"key",
"not",
"in",
"self",
".",
"_open_nodes",
"or",
"new_distance",
"<",
"self",
".",
"_open_queue",
"[",
"node",
".",
"key",
"]",
")",
":",
"node",
".",
"set_came_from",
"(",
"current_node",
")",
"self",
".",
"_open_nodes",
"[",
"node",
".",
"key",
"]",
"=",
"node",
"self",
".",
"_open_queue",
"[",
"node",
".",
"key",
"]",
"=",
"new_distance"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/dijkstra.py#L39-L68 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/node.py | python | Node.get_neighbours | (self) | Yield all neighbours of this node. | Yield all neighbours of this node. | [
"Yield",
"all",
"neighbours",
"of",
"this",
"node",
"."
] | def get_neighbours(self):
"""Yield all neighbours of this node."""
for motion_generator in self.dijkstra.motion_generators:
for node in motion_generator.generate(self.view):
if (
node.view.lnum >= self.dijkstra.min_line
and node.view.lnum <= self.dijkstra.max_line
):
yield node | [
"def",
"get_neighbours",
"(",
"self",
")",
":",
"for",
"motion_generator",
"in",
"self",
".",
"dijkstra",
".",
"motion_generators",
":",
"for",
"node",
"in",
"motion_generator",
".",
"generate",
"(",
"self",
".",
"view",
")",
":",
"if",
"(",
"node",
".",
"view",
".",
"lnum",
">=",
"self",
".",
"dijkstra",
".",
"min_line",
"and",
"node",
".",
"view",
".",
"lnum",
"<=",
"self",
".",
"dijkstra",
".",
"max_line",
")",
":",
"yield",
"node"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/node.py#L17-L25 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/node.py | python | Node.motion_weight | (self, motion) | Return the weight of using a motion from this node. | Return the weight of using a motion from this node. | [
"Return",
"the",
"weight",
"of",
"using",
"a",
"motion",
"from",
"this",
"node",
"."
] | def motion_weight(self, motion):
"""Return the weight of using a motion from this node."""
if motion != self.came_by_motion:
# First repetition, return number of characters in the motion
return len(motion.motion) + (
0 if motion.argument is None else len(motion.argument)
)
elif self.came_by_motion_repetitions == 1:
# Second repetition, adding a "2" is 1 extra character
return 1
else:
# Difference in length of current and future count
# 2j -> 3j = 0
# 9j -> 10j = 1
return len(str(self.came_by_motion_repetitions + 1)) - len(
str(self.came_by_motion_repetitions)
) | [
"def",
"motion_weight",
"(",
"self",
",",
"motion",
")",
":",
"if",
"motion",
"!=",
"self",
".",
"came_by_motion",
":",
"# First repetition, return number of characters in the motion",
"return",
"len",
"(",
"motion",
".",
"motion",
")",
"+",
"(",
"0",
"if",
"motion",
".",
"argument",
"is",
"None",
"else",
"len",
"(",
"motion",
".",
"argument",
")",
")",
"elif",
"self",
".",
"came_by_motion_repetitions",
"==",
"1",
":",
"# Second repetition, adding a \"2\" is 1 extra character",
"return",
"1",
"else",
":",
"# Difference in length of current and future count",
"# 2j -> 3j = 0",
"# 9j -> 10j = 1",
"return",
"len",
"(",
"str",
"(",
"self",
".",
"came_by_motion_repetitions",
"+",
"1",
")",
")",
"-",
"len",
"(",
"str",
"(",
"self",
".",
"came_by_motion_repetitions",
")",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/node.py#L27-L43 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/node.py | python | Node.set_came_from | (self, node) | Set the node this node was reached from. | Set the node this node was reached from. | [
"Set",
"the",
"node",
"this",
"node",
"was",
"reached",
"from",
"."
] | def set_came_from(self, node):
"""Set the node this node was reached from."""
self.came_from = node
if node.came_by_motion == self.came_by_motion:
self.came_by_motion_repetitions = node.came_by_motion_repetitions + 1
else:
self.came_by_motion_repetitions = 1 | [
"def",
"set_came_from",
"(",
"self",
",",
"node",
")",
":",
"self",
".",
"came_from",
"=",
"node",
"if",
"node",
".",
"came_by_motion",
"==",
"self",
".",
"came_by_motion",
":",
"self",
".",
"came_by_motion_repetitions",
"=",
"node",
".",
"came_by_motion_repetitions",
"+",
"1",
"else",
":",
"self",
".",
"came_by_motion_repetitions",
"=",
"1"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/node.py#L45-L52 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/node.py | python | Node.reconstruct_path | (self) | return motions | Return the sequence of motions used to reach this node. | Return the sequence of motions used to reach this node. | [
"Return",
"the",
"sequence",
"of",
"motions",
"used",
"to",
"reach",
"this",
"node",
"."
] | def reconstruct_path(self):
"""Return the sequence of motions used to reach this node."""
motions = list()
node = self
while node.came_from is not None:
motions.insert(0, node.came_by_motion)
node = node.came_from
return motions | [
"def",
"reconstruct_path",
"(",
"self",
")",
":",
"motions",
"=",
"list",
"(",
")",
"node",
"=",
"self",
"while",
"node",
".",
"came_from",
"is",
"not",
"None",
":",
"motions",
".",
"insert",
"(",
"0",
",",
"node",
".",
"came_by_motion",
")",
"node",
"=",
"node",
".",
"came_from",
"return",
"motions"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/node.py#L57-L64 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/motions/search.py | python | SearchMotionGenerator._escape_magic | (self, search_query) | return search_query | Add backslash escapes to any "magic" characters in a query. | Add backslash escapes to any "magic" characters in a query. | [
"Add",
"backslash",
"escapes",
"to",
"any",
"magic",
"characters",
"in",
"a",
"query",
"."
] | def _escape_magic(self, search_query):
"""Add backslash escapes to any "magic" characters in a query."""
for char in r"\^$.*[~/":
search_query = search_query.replace(char, "\\" + char)
return search_query | [
"def",
"_escape_magic",
"(",
"self",
",",
"search_query",
")",
":",
"for",
"char",
"in",
"r\"\\^$.*[~/\"",
":",
"search_query",
"=",
"search_query",
".",
"replace",
"(",
"char",
",",
"\"\\\\\"",
"+",
"char",
")",
"return",
"search_query"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/motions/search.py#L27-L31 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/motions/search.py | python | SearchMotionGenerator._search | (self, text, start, target) | Return the simplest possible searching motion to reach the given target.
:param text: Contents of the file.
:param start: Index in ``text`` to start the search from.
:param target: Index of the target position in ``text``. | Return the simplest possible searching motion to reach the given target. | [
"Return",
"the",
"simplest",
"possible",
"searching",
"motion",
"to",
"reach",
"the",
"given",
"target",
"."
] | def _search(self, text, start, target):
"""
Return the simplest possible searching motion to reach the given target.
:param text: Contents of the file.
:param start: Index in ``text`` to start the search from.
:param target: Index of the target position in ``text``.
"""
search_text = text[target:]
# ("a", "ab", "abc", "abcd"...) until we reach
# the end of search_text or find a working query
for query_length in range(1, len(search_text) + 1):
query = search_text[:query_length]
# Get a list of all match positions for this search query
# query="x" text="x___x_xx" == [0, 4, 6, 7]
pattern = re.escape(query)
matches = [m.start() for m in re.finditer(pattern, text)]
if matches:
# Sort the list so it begins with matches after `start`, rather
# than matches at the beginning of the file
# sorted([True, False]) == [False, True]
matches.sort(key=lambda position: position <= start)
if matches[0] == target:
return self._create_motion(query)
if matches[-1] == target:
return self._create_motion(query, "?") | [
"def",
"_search",
"(",
"self",
",",
"text",
",",
"start",
",",
"target",
")",
":",
"search_text",
"=",
"text",
"[",
"target",
":",
"]",
"# (\"a\", \"ab\", \"abc\", \"abcd\"...) until we reach",
"# the end of search_text or find a working query",
"for",
"query_length",
"in",
"range",
"(",
"1",
",",
"len",
"(",
"search_text",
")",
"+",
"1",
")",
":",
"query",
"=",
"search_text",
"[",
":",
"query_length",
"]",
"# Get a list of all match positions for this search query",
"# query=\"x\" text=\"x___x_xx\" == [0, 4, 6, 7]",
"pattern",
"=",
"re",
".",
"escape",
"(",
"query",
")",
"matches",
"=",
"[",
"m",
".",
"start",
"(",
")",
"for",
"m",
"in",
"re",
".",
"finditer",
"(",
"pattern",
",",
"text",
")",
"]",
"if",
"matches",
":",
"# Sort the list so it begins with matches after `start`, rather",
"# than matches at the beginning of the file",
"# sorted([True, False]) == [False, True]",
"matches",
".",
"sort",
"(",
"key",
"=",
"lambda",
"position",
":",
"position",
"<=",
"start",
")",
"if",
"matches",
"[",
"0",
"]",
"==",
"target",
":",
"return",
"self",
".",
"_create_motion",
"(",
"query",
")",
"if",
"matches",
"[",
"-",
"1",
"]",
"==",
"target",
":",
"return",
"self",
".",
"_create_motion",
"(",
"query",
",",
"\"?\"",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/motions/search.py#L33-L62 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/motions/search.py | python | SearchMotionGenerator._search_lines | (self, lines, start_line, start_col, target_line, target_col) | return self._search(text, start, target) | Wrapper around _search which handles 2d coordinates and a list of lines.
:param lines: List of lines.
:param start_line: Starting line, indexed from 0.
:param start_col: Starting column.
:param target_line: Target line, indexed from 0.
:param target_col: Target column. | Wrapper around _search which handles 2d coordinates and a list of lines. | [
"Wrapper",
"around",
"_search",
"which",
"handles",
"2d",
"coordinates",
"and",
"a",
"list",
"of",
"lines",
"."
] | def _search_lines(self, lines, start_line, start_col, target_line, target_col):
"""
Wrapper around _search which handles 2d coordinates and a list of lines.
:param lines: List of lines.
:param start_line: Starting line, indexed from 0.
:param start_col: Starting column.
:param target_line: Target line, indexed from 0.
:param target_col: Target column.
"""
text = "\n".join(lines)
start = sum(len(line) + 1 for line in lines[:start_line]) + start_col
target = sum(len(line) + 1 for line in lines[:target_line]) + target_col
return self._search(text, start, target) | [
"def",
"_search_lines",
"(",
"self",
",",
"lines",
",",
"start_line",
",",
"start_col",
",",
"target_line",
",",
"target_col",
")",
":",
"text",
"=",
"\"\\n\"",
".",
"join",
"(",
"lines",
")",
"start",
"=",
"sum",
"(",
"len",
"(",
"line",
")",
"+",
"1",
"for",
"line",
"in",
"lines",
"[",
":",
"start_line",
"]",
")",
"+",
"start_col",
"target",
"=",
"sum",
"(",
"len",
"(",
"line",
")",
"+",
"1",
"for",
"line",
"in",
"lines",
"[",
":",
"target_line",
"]",
")",
"+",
"target_col",
"return",
"self",
".",
"_search",
"(",
"text",
",",
"start",
",",
"target",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/motions/search.py#L64-L77 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/motions/simple.py | python | SimpleMotionGenerator._try_motion | (self, view, motion) | return winsaveview() | Use a motion inside Vim, starting from the given view.
If the motion causes an error, return None. | Use a motion inside Vim, starting from the given view. | [
"Use",
"a",
"motion",
"inside",
"Vim",
"starting",
"from",
"the",
"given",
"view",
"."
] | def _try_motion(self, view, motion):
"""
Use a motion inside Vim, starting from the given view.
If the motion causes an error, return None.
"""
winrestview(view)
try:
vim.command(f"silent! normal! {motion}")
except:
return None
return winsaveview() | [
"def",
"_try_motion",
"(",
"self",
",",
"view",
",",
"motion",
")",
":",
"winrestview",
"(",
"view",
")",
"try",
":",
"vim",
".",
"command",
"(",
"f\"silent! normal! {motion}\"",
")",
"except",
":",
"return",
"None",
"return",
"winsaveview",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/motions/simple.py#L73-L84 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/server/motions/__init__.py | python | MotionGenerator.generate | (self, view) | Yield all neighbouring nodes found from the given view. | Yield all neighbouring nodes found from the given view. | [
"Yield",
"all",
"neighbouring",
"nodes",
"found",
"from",
"the",
"given",
"view",
"."
] | def generate(self, view):
"""Yield all neighbouring nodes found from the given view."""
pass | [
"def",
"generate",
"(",
"self",
",",
"view",
")",
":",
"pass"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/server/motions/__init__.py#L16-L18 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/explore_lines.py | python | get_explore_lines | (search_area_lines) | :param search_area_lines: Number of lines between, and including, the start and
target positions.
:returns: Number of lines to explore either side of the search area. | :param search_area_lines: Number of lines between, and including, the start and
target positions.
:returns: Number of lines to explore either side of the search area. | [
":",
"param",
"search_area_lines",
":",
"Number",
"of",
"lines",
"between",
"and",
"including",
"the",
"start",
"and",
"target",
"positions",
".",
":",
"returns",
":",
"Number",
"of",
"lines",
"to",
"explore",
"either",
"side",
"of",
"the",
"search",
"area",
"."
] | def get_explore_lines(search_area_lines):
"""
:param search_area_lines: Number of lines between, and including, the start and
target positions.
:returns: Number of lines to explore either side of the search area.
"""
# Get setting values from Vim variables
explore_scale = float(vim.vars["pf_explore_scale"])
max_explore = int(vim.vars["pf_max_explore"])
if explore_scale < 0:
# This filtering is disabled, explore the entire buffer
return len(vim.current.buffer)
# Number of lines to explore above and below the search area is scaled based
# on the length of the area. This setting defaults to 0.5, if the search area
# was e.g. 6 lines then 3 more lines would be explored on either side.
explore_lines = search_area_lines * explore_scale
if max_explore >= 0:
# Limit to no more than max_explore lines
return min(max_explore, explore_lines)
else:
# Do not limit
return explore_lines | [
"def",
"get_explore_lines",
"(",
"search_area_lines",
")",
":",
"# Get setting values from Vim variables",
"explore_scale",
"=",
"float",
"(",
"vim",
".",
"vars",
"[",
"\"pf_explore_scale\"",
"]",
")",
"max_explore",
"=",
"int",
"(",
"vim",
".",
"vars",
"[",
"\"pf_max_explore\"",
"]",
")",
"if",
"explore_scale",
"<",
"0",
":",
"# This filtering is disabled, explore the entire buffer",
"return",
"len",
"(",
"vim",
".",
"current",
".",
"buffer",
")",
"# Number of lines to explore above and below the search area is scaled based",
"# on the length of the area. This setting defaults to 0.5, if the search area",
"# was e.g. 6 lines then 3 more lines would be explored on either side.",
"explore_lines",
"=",
"search_area_lines",
"*",
"explore_scale",
"if",
"max_explore",
">=",
"0",
":",
"# Limit to no more than max_explore lines",
"return",
"min",
"(",
"max_explore",
",",
"explore_lines",
")",
"else",
":",
"# Do not limit",
"return",
"explore_lines"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/explore_lines.py#L4-L27 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/explore_lines.py | python | get_line_limits | (start_view, target_view) | return (
max(1, min_line - explore_lines),
min(len(vim.current.buffer), max_line + explore_lines),
) | Return the minimum and maximum line numbers to explore.
:param start_view: The start position.
:param target_view: The target position.
:returns: Tuple of (min line, max line) | Return the minimum and maximum line numbers to explore. | [
"Return",
"the",
"minimum",
"and",
"maximum",
"line",
"numbers",
"to",
"explore",
"."
] | def get_line_limits(start_view, target_view):
"""
Return the minimum and maximum line numbers to explore.
:param start_view: The start position.
:param target_view: The target position.
:returns: Tuple of (min line, max line)
"""
min_line = min(int(start_view.lnum), int(target_view.lnum))
max_line = max(int(start_view.lnum), int(target_view.lnum))
explore_lines = get_explore_lines(max_line - min_line)
return (
max(1, min_line - explore_lines),
min(len(vim.current.buffer), max_line + explore_lines),
) | [
"def",
"get_line_limits",
"(",
"start_view",
",",
"target_view",
")",
":",
"min_line",
"=",
"min",
"(",
"int",
"(",
"start_view",
".",
"lnum",
")",
",",
"int",
"(",
"target_view",
".",
"lnum",
")",
")",
"max_line",
"=",
"max",
"(",
"int",
"(",
"start_view",
".",
"lnum",
")",
",",
"int",
"(",
"target_view",
".",
"lnum",
")",
")",
"explore_lines",
"=",
"get_explore_lines",
"(",
"max_line",
"-",
"min_line",
")",
"return",
"(",
"max",
"(",
"1",
",",
"min_line",
"-",
"explore_lines",
")",
",",
"min",
"(",
"len",
"(",
"vim",
".",
"current",
".",
"buffer",
")",
",",
"max_line",
"+",
"explore_lines",
")",
",",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/explore_lines.py#L30-L45 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/state_tracker.py | python | StateTracker.choose_action_using | (self, function) | return result | Choose an action to take using the given function.
Function will be called with the arguments (start state, current state,
time of most recent update). It may return "reset" or "set_target" to
call the corresponding method, or any other value to do nothing. The
function's return value is passed through this method, so can be used
to take further actions elsewhere. | Choose an action to take using the given function. | [
"Choose",
"an",
"action",
"to",
"take",
"using",
"the",
"given",
"function",
"."
] | def choose_action_using(self, function):
"""
Choose an action to take using the given function.
Function will be called with the arguments (start state, current state,
time of most recent update). It may return "reset" or "set_target" to
call the corresponding method, or any other value to do nothing. The
function's return value is passed through this method, so can be used
to take further actions elsewhere.
"""
current_state = self._record_state()
result = function(self.start_state, current_state, self.update_time)
if result == "reset":
self._reset(current_state)
elif result == "set_target":
self._set_target(current_state)
return result | [
"def",
"choose_action_using",
"(",
"self",
",",
"function",
")",
":",
"current_state",
"=",
"self",
".",
"_record_state",
"(",
")",
"result",
"=",
"function",
"(",
"self",
".",
"start_state",
",",
"current_state",
",",
"self",
".",
"update_time",
")",
"if",
"result",
"==",
"\"reset\"",
":",
"self",
".",
"_reset",
"(",
"current_state",
")",
"elif",
"result",
"==",
"\"set_target\"",
":",
"self",
".",
"_set_target",
"(",
"current_state",
")",
"return",
"result"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/state_tracker.py#L45-L63 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/output.py | python | strtrans | (string) | return vim.eval(f"strtrans('{escaped_string}')") | Convert special characters like '' to '^D'. | Convert special characters like '' to '^D'. | [
"Convert",
"special",
"characters",
"like",
"\u0004",
"to",
"^D",
"."
] | def strtrans(string):
"""Convert special characters like '' to '^D'."""
escaped_string = string.replace("'", "\\'").replace("\\", "\\\\")
return vim.eval(f"strtrans('{escaped_string}')") | [
"def",
"strtrans",
"(",
"string",
")",
":",
"escaped_string",
"=",
"string",
".",
"replace",
"(",
"\"'\"",
",",
"\"\\\\'\"",
")",
".",
"replace",
"(",
"\"\\\\\"",
",",
"\"\\\\\\\\\"",
")",
"return",
"vim",
".",
"eval",
"(",
"f\"strtrans('{escaped_string}')\"",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/output.py#L10-L13 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/output.py | python | get_count | (motion, count) | return str(count) + motion_str | Build a string like 'k', 'hh', '15w | Build a string like 'k', 'hh', '15w | [
"Build",
"a",
"string",
"like",
"k",
"hh",
"15w"
] | def get_count(motion, count):
"""Build a string like 'k', 'hh', '15w'"""
motion_str = strtrans(motion.motion + (motion.argument or ""))
if count == 1:
return motion_str
elif count == 2 and len(motion_str) == 1:
# It's easier to press a single-character motion twice
# than to type a 2 before it
return (motion_str) * 2
return str(count) + motion_str | [
"def",
"get_count",
"(",
"motion",
",",
"count",
")",
":",
"motion_str",
"=",
"strtrans",
"(",
"motion",
".",
"motion",
"+",
"(",
"motion",
".",
"argument",
"or",
"\"\"",
")",
")",
"if",
"count",
"==",
"1",
":",
"return",
"motion_str",
"elif",
"count",
"==",
"2",
"and",
"len",
"(",
"motion_str",
")",
"==",
"1",
":",
"# It's easier to press a single-character motion twice",
"# than to type a 2 before it",
"return",
"(",
"motion_str",
")",
"*",
"2",
"return",
"str",
"(",
"count",
")",
"+",
"motion_str"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/output.py#L16-L27 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/output.py | python | compact_motions | (motions) | return " ".join(
[
get_count(motion, len(list(group)))
for motion, group in itertools.groupby(motions)
]
) | Return the given motion sequence in single-line form.
e.g. 2* 5j $ | Return the given motion sequence in single-line form. | [
"Return",
"the",
"given",
"motion",
"sequence",
"in",
"single",
"-",
"line",
"form",
"."
] | def compact_motions(motions):
"""
Return the given motion sequence in single-line form.
e.g. 2* 5j $
"""
return " ".join(
[
get_count(motion, len(list(group)))
for motion, group in itertools.groupby(motions)
]
) | [
"def",
"compact_motions",
"(",
"motions",
")",
":",
"return",
"\" \"",
".",
"join",
"(",
"[",
"get_count",
"(",
"motion",
",",
"len",
"(",
"list",
"(",
"group",
")",
")",
")",
"for",
"motion",
",",
"group",
"in",
"itertools",
".",
"groupby",
"(",
"motions",
")",
"]",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/output.py#L30-L41 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/output.py | python | explained_motions | (motions) | Yield each motion in the form "motion <padding> help"
e.g. ['5j Down 5 lines', '$ To the end of the line'] | Yield each motion in the form "motion <padding> help" | [
"Yield",
"each",
"motion",
"in",
"the",
"form",
"motion",
"<padding",
">",
"help"
] | def explained_motions(motions):
"""
Yield each motion in the form "motion <padding> help"
e.g. ['5j Down 5 lines', '$ To the end of the line']
"""
for motion, group in itertools.groupby(motions):
repetitions = len(list(group))
yield (
get_count(motion, repetitions) + " " + get_description(motion, repetitions)
) | [
"def",
"explained_motions",
"(",
"motions",
")",
":",
"for",
"motion",
",",
"group",
"in",
"itertools",
".",
"groupby",
"(",
"motions",
")",
":",
"repetitions",
"=",
"len",
"(",
"list",
"(",
"group",
")",
")",
"yield",
"(",
"get_count",
"(",
"motion",
",",
"repetitions",
")",
"+",
"\" \"",
"+",
"get_description",
"(",
"motion",
",",
"repetitions",
")",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/output.py#L52-L62 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/client.py | python | Client.open | (self) | Launch and connect to the server Vim. | Launch and connect to the server Vim. | [
"Launch",
"and",
"connect",
"to",
"the",
"server",
"Vim",
"."
] | def open(self):
"""Launch and connect to the server Vim."""
# Create a file used to communicate with the server
self.file_path = os.path.join(
tempfile.gettempdir(), "pathfinder_vim_" + vim.eval("getpid()")
)
self.server_process = subprocess.Popen(
self._build_server_cmd(), stdout=subprocess.PIPE, stderr=subprocess.PIPE
)
self.server_connection = None
self.to_send = None | [
"def",
"open",
"(",
"self",
")",
":",
"# Create a file used to communicate with the server",
"self",
".",
"file_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"tempfile",
".",
"gettempdir",
"(",
")",
",",
"\"pathfinder_vim_\"",
"+",
"vim",
".",
"eval",
"(",
"\"getpid()\"",
")",
")",
"self",
".",
"server_process",
"=",
"subprocess",
".",
"Popen",
"(",
"self",
".",
"_build_server_cmd",
"(",
")",
",",
"stdout",
"=",
"subprocess",
".",
"PIPE",
",",
"stderr",
"=",
"subprocess",
".",
"PIPE",
")",
"self",
".",
"server_connection",
"=",
"None",
"self",
".",
"to_send",
"=",
"None"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/client.py#L26-L38 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/client.py | python | Client._build_server_cmd | (self) | return options | Build the command used to launch the server Vim. | Build the command used to launch the server Vim. | [
"Build",
"the",
"command",
"used",
"to",
"launch",
"the",
"server",
"Vim",
"."
] | def _build_server_cmd(self):
"""Build the command used to launch the server Vim."""
progpath = vim.eval("v:progpath")
options = [
progpath,
"--clean",
"--cmd",
f"let g:pf_server_communication_file='{self.file_path}'",
"-u",
os.path.normpath(
# serverrc.vim in the root of this repository, instead of the user's
# regular .vimrc or init.vim
os.path.join(os.path.dirname(__file__), "..", "..", "serverrc.vim")
),
]
if progpath.endswith("nvim"):
python3_host_prog = vim.eval("g:python3_host_prog")
options += [
"--headless",
"--cmd",
f"let g:python3_host_prog='{python3_host_prog}'",
]
else:
options += ["-v", "--not-a-term"]
return options | [
"def",
"_build_server_cmd",
"(",
"self",
")",
":",
"progpath",
"=",
"vim",
".",
"eval",
"(",
"\"v:progpath\"",
")",
"options",
"=",
"[",
"progpath",
",",
"\"--clean\"",
",",
"\"--cmd\"",
",",
"f\"let g:pf_server_communication_file='{self.file_path}'\"",
",",
"\"-u\"",
",",
"os",
".",
"path",
".",
"normpath",
"(",
"# serverrc.vim in the root of this repository, instead of the user's",
"# regular .vimrc or init.vim",
"os",
".",
"path",
".",
"join",
"(",
"os",
".",
"path",
".",
"dirname",
"(",
"__file__",
")",
",",
"\"..\"",
",",
"\"..\"",
",",
"\"serverrc.vim\"",
")",
")",
",",
"]",
"if",
"progpath",
".",
"endswith",
"(",
"\"nvim\"",
")",
":",
"python3_host_prog",
"=",
"vim",
".",
"eval",
"(",
"\"g:python3_host_prog\"",
")",
"options",
"+=",
"[",
"\"--headless\"",
",",
"\"--cmd\"",
",",
"f\"let g:python3_host_prog='{python3_host_prog}'\"",
",",
"]",
"else",
":",
"options",
"+=",
"[",
"\"-v\"",
",",
"\"--not-a-term\"",
"]",
"return",
"options"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/client.py#L40-L67 |
|
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/client.py | python | Client.close | (self) | Shut down the server Vim. | Shut down the server Vim. | [
"Shut",
"down",
"the",
"server",
"Vim",
"."
] | def close(self):
"""Shut down the server Vim."""
if self.server_connection is not None:
# Server will shut down Vim gracefully when we disconnect
self.server_connection.close()
elif self.server_process is not None:
# Not connected yet, terminate the process instead
self.server_process.terminate() | [
"def",
"close",
"(",
"self",
")",
":",
"if",
"self",
".",
"server_connection",
"is",
"not",
"None",
":",
"# Server will shut down Vim gracefully when we disconnect",
"self",
".",
"server_connection",
".",
"close",
"(",
")",
"elif",
"self",
".",
"server_process",
"is",
"not",
"None",
":",
"# Not connected yet, terminate the process instead",
"self",
".",
"server_process",
".",
"terminate",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/client.py#L69-L76 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/client.py | python | Client.connect | (self) | Attempt to connect to the server.
:returns: whether a connection is ready. | Attempt to connect to the server. | [
"Attempt",
"to",
"connect",
"to",
"the",
"server",
"."
] | def connect(self):
"""
Attempt to connect to the server.
:returns: whether a connection is ready.
"""
if self.server_connection is not None:
return True
if self.server_process is None:
# Server process has exited but we already raised an exception
return False
return_code = self.server_process.poll()
if return_code is not None:
# Server process has exited
stdout, stderr = self.server_process.communicate()
self.server_process = None
raise Exception(
f"Pathfinding server process exited with return code {return_code}:\n"
+ stderr.decode()
)
try:
# Attempt to connect
self.server_connection = connection.Client(self.file_path)
return True
except FileNotFoundError:
return False | [
"def",
"connect",
"(",
"self",
")",
":",
"if",
"self",
".",
"server_connection",
"is",
"not",
"None",
":",
"return",
"True",
"if",
"self",
".",
"server_process",
"is",
"None",
":",
"# Server process has exited but we already raised an exception",
"return",
"False",
"return_code",
"=",
"self",
".",
"server_process",
".",
"poll",
"(",
")",
"if",
"return_code",
"is",
"not",
"None",
":",
"# Server process has exited",
"stdout",
",",
"stderr",
"=",
"self",
".",
"server_process",
".",
"communicate",
"(",
")",
"self",
".",
"server_process",
"=",
"None",
"raise",
"Exception",
"(",
"f\"Pathfinding server process exited with return code {return_code}:\\n\"",
"+",
"stderr",
".",
"decode",
"(",
")",
")",
"try",
":",
"# Attempt to connect",
"self",
".",
"server_connection",
"=",
"connection",
".",
"Client",
"(",
"self",
".",
"file_path",
")",
"return",
"True",
"except",
"FileNotFoundError",
":",
"return",
"False"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/client.py#L93-L121 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/client.py | python | Client.handle_response | (self, response_type, data) | Process a response recieved from the server.
This will be one of:
- ``RESULT`` - A pathfinding result. Call the first queued callback.
- ``ERROR`` - An unexpected exception was caught and the server has exited.
Relay the traceback to the user for debugging. | Process a response recieved from the server. | [
"Process",
"a",
"response",
"recieved",
"from",
"the",
"server",
"."
] | def handle_response(self, response_type, data):
"""
Process a response recieved from the server.
This will be one of:
- ``RESULT`` - A pathfinding result. Call the first queued callback.
- ``ERROR`` - An unexpected exception was caught and the server has exited.
Relay the traceback to the user for debugging.
"""
if response_type == "RESULT":
# Get the first callback function and pass the result to it
self.callback(data)
del self.callback
elif response_type == "ERROR":
raise Exception("Pathfinding server encountered an exception:\n" + data)
else:
raise Exception("Received an unexpected response " + response_type) | [
"def",
"handle_response",
"(",
"self",
",",
"response_type",
",",
"data",
")",
":",
"if",
"response_type",
"==",
"\"RESULT\"",
":",
"# Get the first callback function and pass the result to it",
"self",
".",
"callback",
"(",
"data",
")",
"del",
"self",
".",
"callback",
"elif",
"response_type",
"==",
"\"ERROR\"",
":",
"raise",
"Exception",
"(",
"\"Pathfinding server encountered an exception:\\n\"",
"+",
"data",
")",
"else",
":",
"raise",
"Exception",
"(",
"\"Received an unexpected response \"",
"+",
"response_type",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/client.py#L123-L139 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/client.py | python | Client.pathfind | (self, buffer_contents, start_view, target_view, callback) | Request a pathfinding result from the server.
:param buffer_contents: List of lines we are pathfinding inside.
:param start_view: The start position, in the current window.
:param target_view: The target position, in the current window.
:param callback: Function to be called once a path is found. Recieves a list
of motions as a parameter. | Request a pathfinding result from the server. | [
"Request",
"a",
"pathfinding",
"result",
"from",
"the",
"server",
"."
] | def pathfind(self, buffer_contents, start_view, target_view, callback):
"""
Request a pathfinding result from the server.
:param buffer_contents: List of lines we are pathfinding inside.
:param start_view: The start position, in the current window.
:param target_view: The target position, in the current window.
:param callback: Function to be called once a path is found. Recieves a list
of motions as a parameter.
"""
self.callback = callback
min_line, max_line = get_line_limits(start_view, target_view)
self.to_send = {
"start": start_view,
"target": target_view,
"min_line": min_line,
"max_line": max_line,
"size": (
# WindowTextWidth() - see plugin/dimensions.vim
vim.eval("WindowTextWidth()"),
vim.eval("winheight(0)"),
),
"buffer": buffer_contents,
"wrap": vim.current.window.options["wrap"],
"scrolloff": vim.options["scrolloff"],
"sidescrolloff": vim.options["sidescrolloff"],
} | [
"def",
"pathfind",
"(",
"self",
",",
"buffer_contents",
",",
"start_view",
",",
"target_view",
",",
"callback",
")",
":",
"self",
".",
"callback",
"=",
"callback",
"min_line",
",",
"max_line",
"=",
"get_line_limits",
"(",
"start_view",
",",
"target_view",
")",
"self",
".",
"to_send",
"=",
"{",
"\"start\"",
":",
"start_view",
",",
"\"target\"",
":",
"target_view",
",",
"\"min_line\"",
":",
"min_line",
",",
"\"max_line\"",
":",
"max_line",
",",
"\"size\"",
":",
"(",
"# WindowTextWidth() - see plugin/dimensions.vim",
"vim",
".",
"eval",
"(",
"\"WindowTextWidth()\"",
")",
",",
"vim",
".",
"eval",
"(",
"\"winheight(0)\"",
")",
",",
")",
",",
"\"buffer\"",
":",
"buffer_contents",
",",
"\"wrap\"",
":",
"vim",
".",
"current",
".",
"window",
".",
"options",
"[",
"\"wrap\"",
"]",
",",
"\"scrolloff\"",
":",
"vim",
".",
"options",
"[",
"\"scrolloff\"",
"]",
",",
"\"sidescrolloff\"",
":",
"vim",
".",
"options",
"[",
"\"sidescrolloff\"",
"]",
",",
"}"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/client.py#L141-L168 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/popup.py | python | _neovim_popup | (text, line_offset) | Create a popup using Neovim 0.4+ floating windows. | Create a popup using Neovim 0.4+ floating windows. | [
"Create",
"a",
"popup",
"using",
"Neovim",
"0",
".",
"4",
"+",
"floating",
"windows",
"."
] | def _neovim_popup(text, line_offset):
"""Create a popup using Neovim 0.4+ floating windows."""
# Insert text into a scratch buffer
buffer = vim.api.create_buf(False, True)
vim.api.buf_set_lines(buffer, 0, -1, True, [f" {text} "])
# Create a window containing the buffer
window = vim.api.open_win(
buffer,
0,
{
"relative": "cursor",
"row": int(line_offset),
"col": 0,
"style": "minimal",
"focusable": 0,
"height": 1,
"width": len(text) + 2,
},
)
# Set the highlight of the window to match the cursor
vim.api.win_set_option(window, "winhl", "Normal:PathfinderPopup")
# Create a timer to close the window
popup_time = int(vim.vars["pf_popup_time"])
vim.eval(f"timer_start({popup_time}, {{-> nvim_win_close({window.handle}, 1)}})") | [
"def",
"_neovim_popup",
"(",
"text",
",",
"line_offset",
")",
":",
"# Insert text into a scratch buffer",
"buffer",
"=",
"vim",
".",
"api",
".",
"create_buf",
"(",
"False",
",",
"True",
")",
"vim",
".",
"api",
".",
"buf_set_lines",
"(",
"buffer",
",",
"0",
",",
"-",
"1",
",",
"True",
",",
"[",
"f\" {text} \"",
"]",
")",
"# Create a window containing the buffer",
"window",
"=",
"vim",
".",
"api",
".",
"open_win",
"(",
"buffer",
",",
"0",
",",
"{",
"\"relative\"",
":",
"\"cursor\"",
",",
"\"row\"",
":",
"int",
"(",
"line_offset",
")",
",",
"\"col\"",
":",
"0",
",",
"\"style\"",
":",
"\"minimal\"",
",",
"\"focusable\"",
":",
"0",
",",
"\"height\"",
":",
"1",
",",
"\"width\"",
":",
"len",
"(",
"text",
")",
"+",
"2",
",",
"}",
",",
")",
"# Set the highlight of the window to match the cursor",
"vim",
".",
"api",
".",
"win_set_option",
"(",
"window",
",",
"\"winhl\"",
",",
"\"Normal:PathfinderPopup\"",
")",
"# Create a timer to close the window",
"popup_time",
"=",
"int",
"(",
"vim",
".",
"vars",
"[",
"\"pf_popup_time\"",
"]",
")",
"vim",
".",
"eval",
"(",
"f\"timer_start({popup_time}, {{-> nvim_win_close({window.handle}, 1)}})\"",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/popup.py#L6-L31 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/popup.py | python | _vim_popup | (text, line_offset) | Create a popup using Vim +popupwin. | Create a popup using Vim +popupwin. | [
"Create",
"a",
"popup",
"using",
"Vim",
"+",
"popupwin",
"."
] | def _vim_popup(text, line_offset):
"""Create a popup using Vim +popupwin."""
vim.Function("popup_create")(
text,
{
"line": f"cursor{line_offset}",
"col": "cursor",
"wrap": False,
"padding": (0, 1, 0, 1),
"highlight": "PathfinderPopup",
"time": int(vim.vars["pf_popup_time"]),
"zindex": 1000,
},
) | [
"def",
"_vim_popup",
"(",
"text",
",",
"line_offset",
")",
":",
"vim",
".",
"Function",
"(",
"\"popup_create\"",
")",
"(",
"text",
",",
"{",
"\"line\"",
":",
"f\"cursor{line_offset}\"",
",",
"\"col\"",
":",
"\"cursor\"",
",",
"\"wrap\"",
":",
"False",
",",
"\"padding\"",
":",
"(",
"0",
",",
"1",
",",
"0",
",",
"1",
")",
",",
"\"highlight\"",
":",
"\"PathfinderPopup\"",
",",
"\"time\"",
":",
"int",
"(",
"vim",
".",
"vars",
"[",
"\"pf_popup_time\"",
"]",
")",
",",
"\"zindex\"",
":",
"1000",
",",
"}",
",",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/popup.py#L34-L47 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/plugin.py | python | Plugin._run | (self) | Start calculating a path in the background. | Start calculating a path in the background. | [
"Start",
"calculating",
"a",
"path",
"in",
"the",
"background",
"."
] | def _run(self):
"""Start calculating a path in the background."""
self.client.pathfind(
self.state_tracker.start_state.lines,
self.state_tracker.start_state.view,
self.state_tracker.target_state.view,
self.popup,
) | [
"def",
"_run",
"(",
"self",
")",
":",
"self",
".",
"client",
".",
"pathfind",
"(",
"self",
".",
"state_tracker",
".",
"start_state",
".",
"lines",
",",
"self",
".",
"state_tracker",
".",
"start_state",
".",
"view",
",",
"self",
".",
"state_tracker",
".",
"target_state",
".",
"view",
",",
"self",
".",
"popup",
",",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/plugin.py#L19-L26 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/plugin.py | python | Plugin.autorun | (self) | Called on a timer several times per second. | Called on a timer several times per second. | [
"Called",
"on",
"a",
"timer",
"several",
"times",
"per",
"second",
"."
] | def autorun(self):
"""Called on a timer several times per second."""
if self.state_tracker.choose_action_using(choose_action) == "pathfind":
if not cursor_in_same_position(
self.state_tracker.start_state.view,
self.state_tracker.target_state.view,
):
self._run()
self.state_tracker.reset() | [
"def",
"autorun",
"(",
"self",
")",
":",
"if",
"self",
".",
"state_tracker",
".",
"choose_action_using",
"(",
"choose_action",
")",
"==",
"\"pathfind\"",
":",
"if",
"not",
"cursor_in_same_position",
"(",
"self",
".",
"state_tracker",
".",
"start_state",
".",
"view",
",",
"self",
".",
"state_tracker",
".",
"target_state",
".",
"view",
",",
")",
":",
"self",
".",
"_run",
"(",
")",
"self",
".",
"state_tracker",
".",
"reset",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/plugin.py#L32-L40 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/plugin.py | python | Plugin.command_begin | (self) | Called for the :PathfinderBegin command. | Called for the :PathfinderBegin command. | [
"Called",
"for",
"the",
":",
"PathfinderBegin",
"command",
"."
] | def command_begin(self):
"""Called for the :PathfinderBegin command."""
self.state_tracker.reset() | [
"def",
"command_begin",
"(",
"self",
")",
":",
"self",
".",
"state_tracker",
".",
"reset",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/plugin.py#L42-L44 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/plugin.py | python | Plugin.command_run | (self) | Called for the :PathfinderRun command. | Called for the :PathfinderRun command. | [
"Called",
"for",
"the",
":",
"PathfinderRun",
"command",
"."
] | def command_run(self):
"""Called for the :PathfinderRun command."""
self.state_tracker.set_target()
if cursor_in_same_position(
self.state_tracker.start_state.view,
self.state_tracker.target_state.view,
):
print("You must move the cursor to a new location first!")
else:
self._run() | [
"def",
"command_run",
"(",
"self",
")",
":",
"self",
".",
"state_tracker",
".",
"set_target",
"(",
")",
"if",
"cursor_in_same_position",
"(",
"self",
".",
"state_tracker",
".",
"start_state",
".",
"view",
",",
"self",
".",
"state_tracker",
".",
"target_state",
".",
"view",
",",
")",
":",
"print",
"(",
"\"You must move the cursor to a new location first!\"",
")",
"else",
":",
"self",
".",
"_run",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/plugin.py#L46-L56 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/plugin.py | python | Plugin.command_explain | (self) | Called for the :PathfinderExplain command. | Called for the :PathfinderExplain command. | [
"Called",
"for",
"the",
":",
"PathfinderExplain",
"command",
"."
] | def command_explain(self):
"""Called for the :PathfinderExplain command."""
if self.last_output is None:
print("No suggestion to explain.")
else:
# explained_motions yields each line
# sep tells print to put \n between them rather than space
print(*output.explained_motions(self.last_output), sep="\n") | [
"def",
"command_explain",
"(",
"self",
")",
":",
"if",
"self",
".",
"last_output",
"is",
"None",
":",
"print",
"(",
"\"No suggestion to explain.\"",
")",
"else",
":",
"# explained_motions yields each line",
"# sep tells print to put \\n between them rather than space",
"print",
"(",
"*",
"output",
".",
"explained_motions",
"(",
"self",
".",
"last_output",
")",
",",
"sep",
"=",
"\"\\n\"",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/plugin.py#L58-L65 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/plugin.py | python | Plugin.stop | (self) | Called when Vim is about to shut down. | Called when Vim is about to shut down. | [
"Called",
"when",
"Vim",
"is",
"about",
"to",
"shut",
"down",
"."
] | def stop(self):
"""Called when Vim is about to shut down."""
self.client.close() | [
"def",
"stop",
"(",
"self",
")",
":",
"self",
".",
"client",
".",
"close",
"(",
")"
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/plugin.py#L67-L69 |
||
danth/pathfinder.vim | 4f67053cbea56a45020d004b6bd059e38934a21a | pathfinder/client/autorun.py | python | choose_action | (start_state, current_state, update_time) | Select an action to take automatically.
This is intended for use with StateTracker.choose_action_using().
Returns one of:
"reset" - Set start and target to the current state
"set_target" - Set target to the current state
"pathfind" - Start pathfinding, using the target from last time it was set
None - Do nothing | Select an action to take automatically. | [
"Select",
"an",
"action",
"to",
"take",
"automatically",
"."
] | def choose_action(start_state, current_state, update_time):
"""
Select an action to take automatically.
This is intended for use with StateTracker.choose_action_using().
Returns one of:
"reset" - Set start and target to the current state
"set_target" - Set target to the current state
"pathfind" - Start pathfinding, using the target from last time it was set
None - Do nothing
"""
if (
start_state.window != current_state.window
or start_state.buffer != current_state.buffer
):
# Reset to ensure the start or target view isn't set to a location
# which is now impossible to access
return "reset"
delay = vim.vars["pf_autorun_delay"]
if delay > 0: # If delay <= 0, then the user disabled autorun
if start_state.mode not in {"n", "v", "V", ""}:
# Motions are not used in this mode, so pathfinding is useless
return "reset"
if (
time.time() >= update_time + delay
or start_state.mode != current_state.mode
or start_state.lines != current_state.lines
):
return "pathfind"
else:
return "set_target" | [
"def",
"choose_action",
"(",
"start_state",
",",
"current_state",
",",
"update_time",
")",
":",
"if",
"(",
"start_state",
".",
"window",
"!=",
"current_state",
".",
"window",
"or",
"start_state",
".",
"buffer",
"!=",
"current_state",
".",
"buffer",
")",
":",
"# Reset to ensure the start or target view isn't set to a location",
"# which is now impossible to access",
"return",
"\"reset\"",
"delay",
"=",
"vim",
".",
"vars",
"[",
"\"pf_autorun_delay\"",
"]",
"if",
"delay",
">",
"0",
":",
"# If delay <= 0, then the user disabled autorun",
"if",
"start_state",
".",
"mode",
"not",
"in",
"{",
"\"n\"",
",",
"\"v\"",
",",
"\"V\"",
",",
"\"\u0016\"",
"}",
":",
"# Motions are not used in this mode, so pathfinding is useless",
"return",
"\"reset\"",
"if",
"(",
"time",
".",
"time",
"(",
")",
">=",
"update_time",
"+",
"delay",
"or",
"start_state",
".",
"mode",
"!=",
"current_state",
".",
"mode",
"or",
"start_state",
".",
"lines",
"!=",
"current_state",
".",
"lines",
")",
":",
"return",
"\"pathfind\"",
"else",
":",
"return",
"\"set_target\""
] | https://github.com/danth/pathfinder.vim/blob/4f67053cbea56a45020d004b6bd059e38934a21a/pathfinder/client/autorun.py#L6-L39 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | BlackBoard.execute_graph | (self) | Tries to execute the graph, if some block is tainted it prevents
the execution, if not it starts running the backend. | Tries to execute the graph, if some block is tainted it prevents
the execution, if not it starts running the backend. | [
"Tries",
"to",
"execute",
"the",
"graph",
"if",
"some",
"block",
"is",
"tainted",
"it",
"prevents",
"the",
"execution",
"if",
"not",
"it",
"starts",
"running",
"the",
"backend",
"."
] | def execute_graph(self):
""" Tries to execute the graph, if some block is tainted it prevents
the execution, if not it starts running the backend. """
logger.debug('Checking taint')
# Check if any block is tainted
if any(map(lambda block: block.tainted, self.block_div.children)):
# Get tainted block
tainted_block = reduce(lambda l, r: l if l.tainted else r,
self.block_div.children)
logger.debug('Some block is tainted')
Notification(title='Warning',
message=tainted_block.tainted_msg).open()
self.parent.on_graph_executed()
else:
logger.debug('No block is tainted')
for block in self.block_div.children:
if block.kindled:
block.unkindle()
self.backend.exec_graph(self.to_ir()) | [
"def",
"execute_graph",
"(",
"self",
")",
":",
"logger",
".",
"debug",
"(",
"'Checking taint'",
")",
"# Check if any block is tainted",
"if",
"any",
"(",
"map",
"(",
"lambda",
"block",
":",
"block",
".",
"tainted",
",",
"self",
".",
"block_div",
".",
"children",
")",
")",
":",
"# Get tainted block",
"tainted_block",
"=",
"reduce",
"(",
"lambda",
"l",
",",
"r",
":",
"l",
"if",
"l",
".",
"tainted",
"else",
"r",
",",
"self",
".",
"block_div",
".",
"children",
")",
"logger",
".",
"debug",
"(",
"'Some block is tainted'",
")",
"Notification",
"(",
"title",
"=",
"'Warning'",
",",
"message",
"=",
"tainted_block",
".",
"tainted_msg",
")",
".",
"open",
"(",
")",
"self",
".",
"parent",
".",
"on_graph_executed",
"(",
")",
"else",
":",
"logger",
".",
"debug",
"(",
"'No block is tainted'",
")",
"for",
"block",
"in",
"self",
".",
"block_div",
".",
"children",
":",
"if",
"block",
".",
"kindled",
":",
"block",
".",
"unkindle",
"(",
")",
"self",
".",
"backend",
".",
"exec_graph",
"(",
"self",
".",
"to_ir",
"(",
")",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L34-L52 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | BlackBoard.get_relations | (self) | return ''.join(chain(ins, outs)) | Gets the relations between pins as a string. | Gets the relations between pins as a string. | [
"Gets",
"the",
"relations",
"between",
"pins",
"as",
"a",
"string",
"."
] | def get_relations(self) -> str:
""" Gets the relations between pins as a string. """
# generator expressions are cool
ins = ('{} -> {}\n'.format(block.title, in_pin.origin.end.block.title)
for block in self.block_div.children
for in_pin in block.input_pins if in_pin.origin)
outs = ('{} <- {}\n'.format(block.title, destination.start.block.title)
for block in self.block_div.children
for out_pin in block.output_pins
for destination in out_pin.destinations)
return ''.join(chain(ins, outs)) | [
"def",
"get_relations",
"(",
"self",
")",
"->",
"str",
":",
"# generator expressions are cool",
"ins",
"=",
"(",
"'{} -> {}\\n'",
".",
"format",
"(",
"block",
".",
"title",
",",
"in_pin",
".",
"origin",
".",
"end",
".",
"block",
".",
"title",
")",
"for",
"block",
"in",
"self",
".",
"block_div",
".",
"children",
"for",
"in_pin",
"in",
"block",
".",
"input_pins",
"if",
"in_pin",
".",
"origin",
")",
"outs",
"=",
"(",
"'{} <- {}\\n'",
".",
"format",
"(",
"block",
".",
"title",
",",
"destination",
".",
"start",
".",
"block",
".",
"title",
")",
"for",
"block",
"in",
"self",
".",
"block_div",
".",
"children",
"for",
"out_pin",
"in",
"block",
".",
"output_pins",
"for",
"destination",
"in",
"out_pin",
".",
"destinations",
")",
"return",
"''",
".",
"join",
"(",
"chain",
"(",
"ins",
",",
"outs",
")",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L54-L65 |
|
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | BlackBoard.to_ir | (self) | return backend.IR(blocks=ir_blocks, inputs=ir_inputs, outputs=ir_outputs) | Transforms the relations between blocks into an intermediate
representation in O(n), n being the number of pins. | Transforms the relations between blocks into an intermediate
representation in O(n), n being the number of pins. | [
"Transforms",
"the",
"relations",
"between",
"blocks",
"into",
"an",
"intermediate",
"representation",
"in",
"O",
"(",
"n",
")",
"n",
"being",
"the",
"number",
"of",
"pins",
"."
] | def to_ir(self) -> IR:
""" Transforms the relations between blocks into an intermediate
representation in O(n), n being the number of pins. """
ir_blocks = {}
ir_inputs = {}
ir_outputs = {}
logger.debug('Transforming to IR')
for block in self.block_div.children:
if block.is_orphan(): # Ignore orphaned blocks
continue
block_hash = id(block)
block_inputs, block_outputs = [], []
avoid = False
for in_pin in block.input_pins:
pin_hash = id(in_pin)
block_inputs.append(pin_hash)
other = id(in_pin.origin.end) # Always origin
ir_inputs[pin_hash] = backend.InputEntry(origin=other,
pin=in_pin,
block=block_hash)
for out_pin in block.output_pins:
pin_hash = id(out_pin)
block_outputs.append(pin_hash)
dest = list(map(id, out_pin.destinations))
ir_outputs[pin_hash] = backend.OutputEntry(destinations=dest,
pin=out_pin,
block=block_hash)
ir_blocks[block_hash] = backend.BlockEntry(inputs=block_inputs,
function=block.function,
outputs=block_outputs)
self.block_hashes = ir_blocks
return backend.IR(blocks=ir_blocks, inputs=ir_inputs, outputs=ir_outputs) | [
"def",
"to_ir",
"(",
"self",
")",
"->",
"IR",
":",
"ir_blocks",
"=",
"{",
"}",
"ir_inputs",
"=",
"{",
"}",
"ir_outputs",
"=",
"{",
"}",
"logger",
".",
"debug",
"(",
"'Transforming to IR'",
")",
"for",
"block",
"in",
"self",
".",
"block_div",
".",
"children",
":",
"if",
"block",
".",
"is_orphan",
"(",
")",
":",
"# Ignore orphaned blocks",
"continue",
"block_hash",
"=",
"id",
"(",
"block",
")",
"block_inputs",
",",
"block_outputs",
"=",
"[",
"]",
",",
"[",
"]",
"avoid",
"=",
"False",
"for",
"in_pin",
"in",
"block",
".",
"input_pins",
":",
"pin_hash",
"=",
"id",
"(",
"in_pin",
")",
"block_inputs",
".",
"append",
"(",
"pin_hash",
")",
"other",
"=",
"id",
"(",
"in_pin",
".",
"origin",
".",
"end",
")",
"# Always origin",
"ir_inputs",
"[",
"pin_hash",
"]",
"=",
"backend",
".",
"InputEntry",
"(",
"origin",
"=",
"other",
",",
"pin",
"=",
"in_pin",
",",
"block",
"=",
"block_hash",
")",
"for",
"out_pin",
"in",
"block",
".",
"output_pins",
":",
"pin_hash",
"=",
"id",
"(",
"out_pin",
")",
"block_outputs",
".",
"append",
"(",
"pin_hash",
")",
"dest",
"=",
"list",
"(",
"map",
"(",
"id",
",",
"out_pin",
".",
"destinations",
")",
")",
"ir_outputs",
"[",
"pin_hash",
"]",
"=",
"backend",
".",
"OutputEntry",
"(",
"destinations",
"=",
"dest",
",",
"pin",
"=",
"out_pin",
",",
"block",
"=",
"block_hash",
")",
"ir_blocks",
"[",
"block_hash",
"]",
"=",
"backend",
".",
"BlockEntry",
"(",
"inputs",
"=",
"block_inputs",
",",
"function",
"=",
"block",
".",
"function",
",",
"outputs",
"=",
"block_outputs",
")",
"self",
".",
"block_hashes",
"=",
"ir_blocks",
"return",
"backend",
".",
"IR",
"(",
"blocks",
"=",
"ir_blocks",
",",
"inputs",
"=",
"ir_inputs",
",",
"outputs",
"=",
"ir_outputs",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L67-L98 |
|
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | BlackBoard.on_block_executed | (self, block_hash: int) | Callback that kindles a block, pulses future connections and
stops the pulse of past connections. | Callback that kindles a block, pulses future connections and
stops the pulse of past connections. | [
"Callback",
"that",
"kindles",
"a",
"block",
"pulses",
"future",
"connections",
"and",
"stops",
"the",
"pulse",
"of",
"past",
"connections",
"."
] | def on_block_executed(self, block_hash: int):
""" Callback that kindles a block, pulses future connections and
stops the pulse of past connections. """
block_idx = list(map(id, self.block_div.children)).index(block_hash)
block = self.block_div.children[block_idx]
block.kindle()
logger.debug('Kindling block {}'.format(block.__class__.__name__))
# Python list comprehensions can be nested forwards, but also backwards
# http://rhodesmill.org/brandon/2009/nested-comprehensions/
[connection.pulse() for out_pin in block.output_pins
for connection in out_pin.destinations]
[in_pin.origin.stop_pulse() for in_pin in block.input_pins] | [
"def",
"on_block_executed",
"(",
"self",
",",
"block_hash",
":",
"int",
")",
":",
"block_idx",
"=",
"list",
"(",
"map",
"(",
"id",
",",
"self",
".",
"block_div",
".",
"children",
")",
")",
".",
"index",
"(",
"block_hash",
")",
"block",
"=",
"self",
".",
"block_div",
".",
"children",
"[",
"block_idx",
"]",
"block",
".",
"kindle",
"(",
")",
"logger",
".",
"debug",
"(",
"'Kindling block {}'",
".",
"format",
"(",
"block",
".",
"__class__",
".",
"__name__",
")",
")",
"# Python list comprehensions can be nested forwards, but also backwards",
"# http://rhodesmill.org/brandon/2009/nested-comprehensions/",
"[",
"connection",
".",
"pulse",
"(",
")",
"for",
"out_pin",
"in",
"block",
".",
"output_pins",
"for",
"connection",
"in",
"out_pin",
".",
"destinations",
"]",
"[",
"in_pin",
".",
"origin",
".",
"stop_pulse",
"(",
")",
"for",
"in_pin",
"in",
"block",
".",
"input_pins",
"]"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L101-L113 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | BlackBoard.on_touch_up | (self, touch: MotionEvent) | return False | Inherited from
https://github.com/kivy/kivy/blob/master/kivy/uix/scatter.py#L590. | Inherited from
https://github.com/kivy/kivy/blob/master/kivy/uix/scatter.py#L590. | [
"Inherited",
"from",
"https",
":",
"//",
"github",
".",
"com",
"/",
"kivy",
"/",
"kivy",
"/",
"blob",
"/",
"master",
"/",
"kivy",
"/",
"uix",
"/",
"scatter",
".",
"py#L590",
"."
] | def on_touch_up(self, touch: MotionEvent) -> bool:
""" Inherited from
https://github.com/kivy/kivy/blob/master/kivy/uix/scatter.py#L590. """
if self.disabled:
return False
x, y = touch.x, touch.y
# if the touch isnt on the widget we do nothing, just try children
if not touch.grab_current == self:
touch.push()
touch.apply_transform_2d(self.to_local)
for child in self.children:
if child.dispatch('on_touch_up', touch):
touch.pop()
return True
touch.pop()
# remove it from our saved touches
if touch in self._touches and touch.grab_state:
touch.ungrab(self)
del self._last_touch_pos[touch]
self._touches.remove(touch)
# if no connection was made
if 'cur_line' in touch.ud.keys() and touch.button == 'left':
logger.info('Finish connection through smart bubble')
connection = touch.ud['cur_line']
if connection.forward:
edge = connection.start
else:
edge = connection.end
self.add_widget(blocks.SmartBubble(pos=touch.pos, backdrop=self, pin=edge))
return True
# stop propagating if its within our bounds
if self.collide_point(x, y):
return True
return False | [
"def",
"on_touch_up",
"(",
"self",
",",
"touch",
":",
"MotionEvent",
")",
"->",
"bool",
":",
"if",
"self",
".",
"disabled",
":",
"return",
"False",
"x",
",",
"y",
"=",
"touch",
".",
"x",
",",
"touch",
".",
"y",
"# if the touch isnt on the widget we do nothing, just try children",
"if",
"not",
"touch",
".",
"grab_current",
"==",
"self",
":",
"touch",
".",
"push",
"(",
")",
"touch",
".",
"apply_transform_2d",
"(",
"self",
".",
"to_local",
")",
"for",
"child",
"in",
"self",
".",
"children",
":",
"if",
"child",
".",
"dispatch",
"(",
"'on_touch_up'",
",",
"touch",
")",
":",
"touch",
".",
"pop",
"(",
")",
"return",
"True",
"touch",
".",
"pop",
"(",
")",
"# remove it from our saved touches",
"if",
"touch",
"in",
"self",
".",
"_touches",
"and",
"touch",
".",
"grab_state",
":",
"touch",
".",
"ungrab",
"(",
"self",
")",
"del",
"self",
".",
"_last_touch_pos",
"[",
"touch",
"]",
"self",
".",
"_touches",
".",
"remove",
"(",
"touch",
")",
"# if no connection was made",
"if",
"'cur_line'",
"in",
"touch",
".",
"ud",
".",
"keys",
"(",
")",
"and",
"touch",
".",
"button",
"==",
"'left'",
":",
"logger",
".",
"info",
"(",
"'Finish connection through smart bubble'",
")",
"connection",
"=",
"touch",
".",
"ud",
"[",
"'cur_line'",
"]",
"if",
"connection",
".",
"forward",
":",
"edge",
"=",
"connection",
".",
"start",
"else",
":",
"edge",
"=",
"connection",
".",
"end",
"self",
".",
"add_widget",
"(",
"blocks",
".",
"SmartBubble",
"(",
"pos",
"=",
"touch",
".",
"pos",
",",
"backdrop",
"=",
"self",
",",
"pin",
"=",
"edge",
")",
")",
"return",
"True",
"# stop propagating if its within our bounds",
"if",
"self",
".",
"collide_point",
"(",
"x",
",",
"y",
")",
":",
"return",
"True",
"return",
"False"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L138-L175 |
|
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | BlackBoard.in_block | (self, x: float, y: float) | return None | Check if a position hits a block. | Check if a position hits a block. | [
"Check",
"if",
"a",
"position",
"hits",
"a",
"block",
"."
] | def in_block(self, x: float, y: float) -> Optional[blocks.Block]:
""" Check if a position hits a block. """
for block in self.block_div.children:
if block.collide_point(x, y):
return block
return None | [
"def",
"in_block",
"(",
"self",
",",
"x",
":",
"float",
",",
"y",
":",
"float",
")",
"->",
"Optional",
"[",
"blocks",
".",
"Block",
"]",
":",
"for",
"block",
"in",
"self",
".",
"block_div",
".",
"children",
":",
"if",
"block",
".",
"collide_point",
"(",
"x",
",",
"y",
")",
":",
"return",
"block",
"return",
"None"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L177-L182 |
|
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | Blocks.add_widget | (self, widget: Widget, index: int = 0, canvas: str = None) | Add widget override. | Add widget override. | [
"Add",
"widget",
"override",
"."
] | def add_widget(self, widget: Widget, index: int = 0, canvas: str = None):
""" Add widget override. """
if (widget.__class__ == blocks.PrintBlock and
any(map(lambda w: w.__class__ == blocks.PrintBlock, self.children))):
Notification(title='Warning',
message='Only one print block allowed!').open()
return
if not self.children:
self.parent.parent.parent.remove_hint()
super().add_widget(widget, index, canvas) | [
"def",
"add_widget",
"(",
"self",
",",
"widget",
":",
"Widget",
",",
"index",
":",
"int",
"=",
"0",
",",
"canvas",
":",
"str",
"=",
"None",
")",
":",
"if",
"(",
"widget",
".",
"__class__",
"==",
"blocks",
".",
"PrintBlock",
"and",
"any",
"(",
"map",
"(",
"lambda",
"w",
":",
"w",
".",
"__class__",
"==",
"blocks",
".",
"PrintBlock",
",",
"self",
".",
"children",
")",
")",
")",
":",
"Notification",
"(",
"title",
"=",
"'Warning'",
",",
"message",
"=",
"'Only one print block allowed!'",
")",
".",
"open",
"(",
")",
"return",
"if",
"not",
"self",
".",
"children",
":",
"self",
".",
"parent",
".",
"parent",
".",
"parent",
".",
"remove_hint",
"(",
")",
"super",
"(",
")",
".",
"add_widget",
"(",
"widget",
",",
"index",
",",
"canvas",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L188-L197 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blackboard.py | python | Blocks.remove_widget | (self, widget: Widget) | Remove widget override. | Remove widget override. | [
"Remove",
"widget",
"override",
"."
] | def remove_widget(self, widget: Widget):
""" Remove widget override. """
super().remove_widget(widget)
if not self.children:
self.parent.parent.parent.add_hint() | [
"def",
"remove_widget",
"(",
"self",
",",
"widget",
":",
"Widget",
")",
":",
"super",
"(",
")",
".",
"remove_widget",
"(",
"widget",
")",
"if",
"not",
"self",
".",
"children",
":",
"self",
".",
"parent",
".",
"parent",
".",
"parent",
".",
"add_hint",
"(",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blackboard.py#L199-L203 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.__init__ | (self, **kwargs) | On this initializer the connection has to check whether the
connection is being made forward or backwards. | On this initializer the connection has to check whether the
connection is being made forward or backwards. | [
"On",
"this",
"initializer",
"the",
"connection",
"has",
"to",
"check",
"whether",
"the",
"connection",
"is",
"being",
"made",
"forward",
"or",
"backwards",
"."
] | def __init__(self, **kwargs):
""" On this initializer the connection has to check whether the
connection is being made forward or backwards. """
super().__init__(**kwargs)
if self.start:
self.forward = True
# The value is repeated for correctness sake
self.bez_start, self.bez_end = [self.start.center] * 2
with self.canvas.before:
Color(*self.color)
self.lin = Line(bezier=self.bez_start * 4, width=1.5)
self._bind_pin(self.start)
else:
self.forward = False
self.bez_start, self.bez_end = [self.end.center] * 2
with self.canvas.before:
Color(*self.color)
self.lin = Line(bezier=self.bez_end * 4, width=1.5)
self._bind_pin(self.end)
self.warned = False
self.info = Factory.Info(pos=self.bez_start)
Window.add_widget(self.info) | [
"def",
"__init__",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"super",
"(",
")",
".",
"__init__",
"(",
"*",
"*",
"kwargs",
")",
"if",
"self",
".",
"start",
":",
"self",
".",
"forward",
"=",
"True",
"# The value is repeated for correctness sake",
"self",
".",
"bez_start",
",",
"self",
".",
"bez_end",
"=",
"[",
"self",
".",
"start",
".",
"center",
"]",
"*",
"2",
"with",
"self",
".",
"canvas",
".",
"before",
":",
"Color",
"(",
"*",
"self",
".",
"color",
")",
"self",
".",
"lin",
"=",
"Line",
"(",
"bezier",
"=",
"self",
".",
"bez_start",
"*",
"4",
",",
"width",
"=",
"1.5",
")",
"self",
".",
"_bind_pin",
"(",
"self",
".",
"start",
")",
"else",
":",
"self",
".",
"forward",
"=",
"False",
"self",
".",
"bez_start",
",",
"self",
".",
"bez_end",
"=",
"[",
"self",
".",
"end",
".",
"center",
"]",
"*",
"2",
"with",
"self",
".",
"canvas",
".",
"before",
":",
"Color",
"(",
"*",
"self",
".",
"color",
")",
"self",
".",
"lin",
"=",
"Line",
"(",
"bezier",
"=",
"self",
".",
"bez_end",
"*",
"4",
",",
"width",
"=",
"1.5",
")",
"self",
".",
"_bind_pin",
"(",
"self",
".",
"end",
")",
"self",
".",
"warned",
"=",
"False",
"self",
".",
"info",
"=",
"Factory",
".",
"Info",
"(",
"pos",
"=",
"self",
".",
"bez_start",
")",
"Window",
".",
"add_widget",
"(",
"self",
".",
"info",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L52-L73 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.finish_connection | (self, pin: 'Pin') | This functions finishes a connection that has only start or end and
is being currently dragged | This functions finishes a connection that has only start or end and
is being currently dragged | [
"This",
"functions",
"finishes",
"a",
"connection",
"that",
"has",
"only",
"start",
"or",
"end",
"and",
"is",
"being",
"currently",
"dragged"
] | def finish_connection(self, pin: 'Pin'):
""" This functions finishes a connection that has only start or end and
is being currently dragged """
self.remove_info()
if self.forward:
self.end = pin
self._bind_pin(self.end)
else:
self.start = pin
self._bind_pin(self.start) | [
"def",
"finish_connection",
"(",
"self",
",",
"pin",
":",
"'Pin'",
")",
":",
"self",
".",
"remove_info",
"(",
")",
"if",
"self",
".",
"forward",
":",
"self",
".",
"end",
"=",
"pin",
"self",
".",
"_bind_pin",
"(",
"self",
".",
"end",
")",
"else",
":",
"self",
".",
"start",
"=",
"pin",
"self",
".",
"_bind_pin",
"(",
"self",
".",
"start",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L75-L84 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.on_touch_down | (self, touch: MotionEvent) | On touch down on connection means we are modifying an already
existing connection, not creating a new one. | On touch down on connection means we are modifying an already
existing connection, not creating a new one. | [
"On",
"touch",
"down",
"on",
"connection",
"means",
"we",
"are",
"modifying",
"an",
"already",
"existing",
"connection",
"not",
"creating",
"a",
"new",
"one",
"."
] | def on_touch_down(self, touch: MotionEvent) -> bool:
""" On touch down on connection means we are modifying an already
existing connection, not creating a new one. """
# TODO: remove start check?
if self.start and self.start.collide_point(*touch.pos):
self.forward = False
# Remove start edge
self._unbind_pin(self.start)
self.start.on_connection_delete(self)
self.start = None
# This signals that we are dragging a connection
touch.ud['cur_line'] = self
Window.add_widget(self.info)
return True
elif self.end and self.end.collide_point(*touch.pos):
# Same as before but with the other edge
self.forward = True
self._unbind_pin(self.end)
self.end.on_connection_delete(self)
self.end = None
touch.ud['cur_line'] = self
Window.add_widget(self.info)
return True
else:
return False | [
"def",
"on_touch_down",
"(",
"self",
",",
"touch",
":",
"MotionEvent",
")",
"->",
"bool",
":",
"# TODO: remove start check?",
"if",
"self",
".",
"start",
"and",
"self",
".",
"start",
".",
"collide_point",
"(",
"*",
"touch",
".",
"pos",
")",
":",
"self",
".",
"forward",
"=",
"False",
"# Remove start edge",
"self",
".",
"_unbind_pin",
"(",
"self",
".",
"start",
")",
"self",
".",
"start",
".",
"on_connection_delete",
"(",
"self",
")",
"self",
".",
"start",
"=",
"None",
"# This signals that we are dragging a connection",
"touch",
".",
"ud",
"[",
"'cur_line'",
"]",
"=",
"self",
"Window",
".",
"add_widget",
"(",
"self",
".",
"info",
")",
"return",
"True",
"elif",
"self",
".",
"end",
"and",
"self",
".",
"end",
".",
"collide_point",
"(",
"*",
"touch",
".",
"pos",
")",
":",
"# Same as before but with the other edge",
"self",
".",
"forward",
"=",
"True",
"self",
".",
"_unbind_pin",
"(",
"self",
".",
"end",
")",
"self",
".",
"end",
".",
"on_connection_delete",
"(",
"self",
")",
"self",
".",
"end",
"=",
"None",
"touch",
".",
"ud",
"[",
"'cur_line'",
"]",
"=",
"self",
"Window",
".",
"add_widget",
"(",
"self",
".",
"info",
")",
"return",
"True",
"else",
":",
"return",
"False"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L87-L111 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.follow_cursor | (self, newpos, blackboard) | This functions makes sure the current end being dragged follows the
cursor. It also checks for type safety and changes the line color
if needed. | This functions makes sure the current end being dragged follows the
cursor. It also checks for type safety and changes the line color
if needed. | [
"This",
"functions",
"makes",
"sure",
"the",
"current",
"end",
"being",
"dragged",
"follows",
"the",
"cursor",
".",
"It",
"also",
"checks",
"for",
"type",
"safety",
"and",
"changes",
"the",
"line",
"color",
"if",
"needed",
"."
] | def follow_cursor(self, newpos, blackboard):
""" This functions makes sure the current end being dragged follows the
cursor. It also checks for type safety and changes the line color
if needed."""
if self.forward:
fixed_edge = self.start
self.bez_end = [*newpos]
self._rebezier()
else:
fixed_edge = self.end
self.bez_start = [*newpos]
self._rebezier()
self.info.pos = [*newpos]
# The conditionals are so complicated because it is necessary to check
# whether or not a pin in a block has been touched, and then check
# the typesafety.
if (self._in_pin(blackboard, newpos) and
not self._in_pin(blackboard, newpos).typesafe(fixed_edge)):
# This conditional represents that the cursor stepped out the pin
self.info.text = 'Connection is not possible'
self._warn()
elif (self._in_pin(blackboard, newpos) and
self._in_pin(blackboard, newpos).typesafe(fixed_edge)):
self.info.text = 'Connect'
if self.warned:
self._unwarn()
else:
self.info.text = 'Spawn new block'
if self.warned:
self._unwarn() | [
"def",
"follow_cursor",
"(",
"self",
",",
"newpos",
",",
"blackboard",
")",
":",
"if",
"self",
".",
"forward",
":",
"fixed_edge",
"=",
"self",
".",
"start",
"self",
".",
"bez_end",
"=",
"[",
"*",
"newpos",
"]",
"self",
".",
"_rebezier",
"(",
")",
"else",
":",
"fixed_edge",
"=",
"self",
".",
"end",
"self",
".",
"bez_start",
"=",
"[",
"*",
"newpos",
"]",
"self",
".",
"_rebezier",
"(",
")",
"self",
".",
"info",
".",
"pos",
"=",
"[",
"*",
"newpos",
"]",
"# The conditionals are so complicated because it is necessary to check",
"# whether or not a pin in a block has been touched, and then check",
"# the typesafety.",
"if",
"(",
"self",
".",
"_in_pin",
"(",
"blackboard",
",",
"newpos",
")",
"and",
"not",
"self",
".",
"_in_pin",
"(",
"blackboard",
",",
"newpos",
")",
".",
"typesafe",
"(",
"fixed_edge",
")",
")",
":",
"# This conditional represents that the cursor stepped out the pin",
"self",
".",
"info",
".",
"text",
"=",
"'Connection is not possible'",
"self",
".",
"_warn",
"(",
")",
"elif",
"(",
"self",
".",
"_in_pin",
"(",
"blackboard",
",",
"newpos",
")",
"and",
"self",
".",
"_in_pin",
"(",
"blackboard",
",",
"newpos",
")",
".",
"typesafe",
"(",
"fixed_edge",
")",
")",
":",
"self",
".",
"info",
".",
"text",
"=",
"'Connect'",
"if",
"self",
".",
"warned",
":",
"self",
".",
"_unwarn",
"(",
")",
"else",
":",
"self",
".",
"info",
".",
"text",
"=",
"'Spawn new block'",
"if",
"self",
".",
"warned",
":",
"self",
".",
"_unwarn",
"(",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L113-L142 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.delete_connection | (self) | This function deletes both ends (if they exist) and the connection
itself. | This function deletes both ends (if they exist) and the connection
itself. | [
"This",
"function",
"deletes",
"both",
"ends",
"(",
"if",
"they",
"exist",
")",
"and",
"the",
"connection",
"itself",
"."
] | def delete_connection(self):
""" This function deletes both ends (if they exist) and the connection
itself. """
self.parent.remove_widget(self) # Self-destruct
self.remove_info()
if self.start:
self._unbind_pin(self.start)
self.start.on_connection_delete(self)
if self.end:
self._unbind_pin(self.end)
self.end.on_connection_delete(self) | [
"def",
"delete_connection",
"(",
"self",
")",
":",
"self",
".",
"parent",
".",
"remove_widget",
"(",
"self",
")",
"# Self-destruct",
"self",
".",
"remove_info",
"(",
")",
"if",
"self",
".",
"start",
":",
"self",
".",
"_unbind_pin",
"(",
"self",
".",
"start",
")",
"self",
".",
"start",
".",
"on_connection_delete",
"(",
"self",
")",
"if",
"self",
".",
"end",
":",
"self",
".",
"_unbind_pin",
"(",
"self",
".",
"end",
")",
"self",
".",
"end",
".",
"on_connection_delete",
"(",
"self",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L144-L154 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.pulse | (self) | Makes a connection appear to pulse by modifying its width
continuosly. | Makes a connection appear to pulse by modifying its width
continuosly. | [
"Makes",
"a",
"connection",
"appear",
"to",
"pulse",
"by",
"modifying",
"its",
"width",
"continuosly",
"."
] | def pulse(self):
""" Makes a connection appear to pulse by modifying its width
continuosly. """
self.it = self._change_width()
next(self.it)
Clock.schedule_interval(lambda _: next(self.it), 0.05) | [
"def",
"pulse",
"(",
"self",
")",
":",
"self",
".",
"it",
"=",
"self",
".",
"_change_width",
"(",
")",
"next",
"(",
"self",
".",
"it",
")",
"Clock",
".",
"schedule_interval",
"(",
"lambda",
"_",
":",
"next",
"(",
"self",
".",
"it",
")",
",",
"0.05",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L156-L161 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection.stop_pulse | (self) | Stops vibrating a connection. It will throw an execution if
the connection is not pulsing right now. | Stops vibrating a connection. It will throw an execution if
the connection is not pulsing right now. | [
"Stops",
"vibrating",
"a",
"connection",
".",
"It",
"will",
"throw",
"an",
"execution",
"if",
"the",
"connection",
"is",
"not",
"pulsing",
"right",
"now",
"."
] | def stop_pulse(self):
""" Stops vibrating a connection. It will throw an execution if
the connection is not pulsing right now. """
self.it.throw(StopIteration) | [
"def",
"stop_pulse",
"(",
"self",
")",
":",
"self",
".",
"it",
".",
"throw",
"(",
"StopIteration",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L163-L166 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._unbind_pin | (self, pin: 'Pin') | Undos pin's circle and line binding. | Undos pin's circle and line binding. | [
"Undos",
"pin",
"s",
"circle",
"and",
"line",
"binding",
"."
] | def _unbind_pin(self, pin: 'Pin'):
""" Undos pin's circle and line binding. """
pin.funbind('pos', self._line_bind) | [
"def",
"_unbind_pin",
"(",
"self",
",",
"pin",
":",
"'Pin'",
")",
":",
"pin",
".",
"funbind",
"(",
"'pos'",
",",
"self",
".",
"_line_bind",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L181-L183 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._bind_pin | (self, pin: 'Pin') | Performs pin circle and line binding. | Performs pin circle and line binding. | [
"Performs",
"pin",
"circle",
"and",
"line",
"binding",
"."
] | def _bind_pin(self, pin: 'Pin'):
""" Performs pin circle and line binding. """
pin.fbind('pos', self._line_bind)
self._line_bind(pin, pin.pos) | [
"def",
"_bind_pin",
"(",
"self",
",",
"pin",
":",
"'Pin'",
")",
":",
"pin",
".",
"fbind",
"(",
"'pos'",
",",
"self",
".",
"_line_bind",
")",
"self",
".",
"_line_bind",
"(",
"pin",
",",
"pin",
".",
"pos",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L185-L188 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._change_width | (self) | Ok, so let me explain what is going on, this generator/coroutine
changes the width of the line continuosly using the width_gen
generator. We use it by calling it 20 times per second. The tricky
part is stopping the scheduled calls. The way to tell Kivy to stop
calling is to return a False value, and to do that we need to call
this coroutine itself, which may be executing or not at that
precise moment.
That is where throw comes in, allowing for exceptions to be thrown
on during the execution, hijacking the current execution (like a
fast interruption), we need to return from this exception, in which
we do not care about the value, and then return False on the
regular execution in order to stop the calls. | Ok, so let me explain what is going on, this generator/coroutine
changes the width of the line continuosly using the width_gen
generator. We use it by calling it 20 times per second. The tricky
part is stopping the scheduled calls. The way to tell Kivy to stop
calling is to return a False value, and to do that we need to call
this coroutine itself, which may be executing or not at that
precise moment. | [
"Ok",
"so",
"let",
"me",
"explain",
"what",
"is",
"going",
"on",
"this",
"generator",
"/",
"coroutine",
"changes",
"the",
"width",
"of",
"the",
"line",
"continuosly",
"using",
"the",
"width_gen",
"generator",
".",
"We",
"use",
"it",
"by",
"calling",
"it",
"20",
"times",
"per",
"second",
".",
"The",
"tricky",
"part",
"is",
"stopping",
"the",
"scheduled",
"calls",
".",
"The",
"way",
"to",
"tell",
"Kivy",
"to",
"stop",
"calling",
"is",
"to",
"return",
"a",
"False",
"value",
"and",
"to",
"do",
"that",
"we",
"need",
"to",
"call",
"this",
"coroutine",
"itself",
"which",
"may",
"be",
"executing",
"or",
"not",
"at",
"that",
"precise",
"moment",
"."
] | def _change_width(self):
""" Ok, so let me explain what is going on, this generator/coroutine
changes the width of the line continuosly using the width_gen
generator. We use it by calling it 20 times per second. The tricky
part is stopping the scheduled calls. The way to tell Kivy to stop
calling is to return a False value, and to do that we need to call
this coroutine itself, which may be executing or not at that
precise moment.
That is where throw comes in, allowing for exceptions to be thrown
on during the execution, hijacking the current execution (like a
fast interruption), we need to return from this exception, in which
we do not care about the value, and then return False on the
regular execution in order to stop the calls."""
try:
for value in self._width_gen():
self.lin.width = value
yield
except StopIteration:
self.lin.width = 2
yield
yield False | [
"def",
"_change_width",
"(",
"self",
")",
":",
"try",
":",
"for",
"value",
"in",
"self",
".",
"_width_gen",
"(",
")",
":",
"self",
".",
"lin",
".",
"width",
"=",
"value",
"yield",
"except",
"StopIteration",
":",
"self",
".",
"lin",
".",
"width",
"=",
"2",
"yield",
"yield",
"False"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L201-L222 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._width_gen | (self) | Infinity oscillating generator (between 2 and 4) | Infinity oscillating generator (between 2 and 4) | [
"Infinity",
"oscillating",
"generator",
"(",
"between",
"2",
"and",
"4",
")"
] | def _width_gen(self):
""" Infinity oscillating generator (between 2 and 4) """
val = 0
while True:
yield np.sin(val) + 3
val += pi / 20 | [
"def",
"_width_gen",
"(",
"self",
")",
":",
"val",
"=",
"0",
"while",
"True",
":",
"yield",
"np",
".",
"sin",
"(",
"val",
")",
"+",
"3",
"val",
"+=",
"pi",
"/",
"20"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L224-L229 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._warn | (self) | Changes the current line to a red thick connection. | Changes the current line to a red thick connection. | [
"Changes",
"the",
"current",
"line",
"to",
"a",
"red",
"thick",
"connection",
"."
] | def _warn(self):
""" Changes the current line to a red thick connection. """
self.warned = True
self.canvas.before.remove(self.lin)
with self.canvas.before:
Color(1, 0, 0)
self.lin = Line(points=self.lin.points, width=3)
self._rebezier() | [
"def",
"_warn",
"(",
"self",
")",
":",
"self",
".",
"warned",
"=",
"True",
"self",
".",
"canvas",
".",
"before",
".",
"remove",
"(",
"self",
".",
"lin",
")",
"with",
"self",
".",
"canvas",
".",
"before",
":",
"Color",
"(",
"1",
",",
"0",
",",
"0",
")",
"self",
".",
"lin",
"=",
"Line",
"(",
"points",
"=",
"self",
".",
"lin",
".",
"points",
",",
"width",
"=",
"3",
")",
"self",
".",
"_rebezier",
"(",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L232-L239 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._unwarn | (self) | Returns the red thick connection to its normal state. | Returns the red thick connection to its normal state. | [
"Returns",
"the",
"red",
"thick",
"connection",
"to",
"its",
"normal",
"state",
"."
] | def _unwarn(self):
""" Returns the red thick connection to its normal state. """
self.warned = False
self.canvas.before.remove(self.lin)
with self.canvas.before:
Color(*self.color)
self.lin = Line(points=self.lin.points, width=1.5)
self._rebezier() | [
"def",
"_unwarn",
"(",
"self",
")",
":",
"self",
".",
"warned",
"=",
"False",
"self",
".",
"canvas",
".",
"before",
".",
"remove",
"(",
"self",
".",
"lin",
")",
"with",
"self",
".",
"canvas",
".",
"before",
":",
"Color",
"(",
"*",
"self",
".",
"color",
")",
"self",
".",
"lin",
"=",
"Line",
"(",
"points",
"=",
"self",
".",
"lin",
".",
"points",
",",
"width",
"=",
"1.5",
")",
"self",
".",
"_rebezier",
"(",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L241-L248 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/connection.py | python | Connection._rebezier | (self) | Refreshes bezier curve according to start and end.
It uses the arctan to force the bèzier curve always going a bit
forward before drifting. | Refreshes bezier curve according to start and end.
It uses the arctan to force the bèzier curve always going a bit
forward before drifting. | [
"Refreshes",
"bezier",
"curve",
"according",
"to",
"start",
"and",
"end",
".",
"It",
"uses",
"the",
"arctan",
"to",
"force",
"the",
"bèzier",
"curve",
"always",
"going",
"a",
"bit",
"forward",
"before",
"drifting",
"."
] | def _rebezier(self):
""" Refreshes bezier curve according to start and end.
It uses the arctan to force the bèzier curve always going a bit
forward before drifting."""
arc_tan = np.arctan2(self.bez_start[1] - self.bez_end[1],
self.bez_start[0] - self.bez_end[0])
abs_angle = np.abs(np.degrees(arc_tan))
# We use the angle value plus a fixed amount to steer the line a bit
start_right = [self.bez_start[0] - 5 - 0.6 * abs_angle,
self.bez_start[1]]
end_left = [self.bez_end[0] + 5 + 0.6 * abs_angle, self.bez_end[1]]
# Y distance to mid point
dist = (min(self.bez_start[0], self.bez_end[0]) +
abs(self.bez_start[0] - self.bez_end[0]) / 2)
# This updates the bèzier curve graphics
self.lin.bezier = (self.bez_start + start_right +
[dist, self.bez_start[1]] + [dist, self.bez_end[1]] +
end_left + self.bez_end) | [
"def",
"_rebezier",
"(",
"self",
")",
":",
"arc_tan",
"=",
"np",
".",
"arctan2",
"(",
"self",
".",
"bez_start",
"[",
"1",
"]",
"-",
"self",
".",
"bez_end",
"[",
"1",
"]",
",",
"self",
".",
"bez_start",
"[",
"0",
"]",
"-",
"self",
".",
"bez_end",
"[",
"0",
"]",
")",
"abs_angle",
"=",
"np",
".",
"abs",
"(",
"np",
".",
"degrees",
"(",
"arc_tan",
")",
")",
"# We use the angle value plus a fixed amount to steer the line a bit",
"start_right",
"=",
"[",
"self",
".",
"bez_start",
"[",
"0",
"]",
"-",
"5",
"-",
"0.6",
"*",
"abs_angle",
",",
"self",
".",
"bez_start",
"[",
"1",
"]",
"]",
"end_left",
"=",
"[",
"self",
".",
"bez_end",
"[",
"0",
"]",
"+",
"5",
"+",
"0.6",
"*",
"abs_angle",
",",
"self",
".",
"bez_end",
"[",
"1",
"]",
"]",
"# Y distance to mid point",
"dist",
"=",
"(",
"min",
"(",
"self",
".",
"bez_start",
"[",
"0",
"]",
",",
"self",
".",
"bez_end",
"[",
"0",
"]",
")",
"+",
"abs",
"(",
"self",
".",
"bez_start",
"[",
"0",
"]",
"-",
"self",
".",
"bez_end",
"[",
"0",
"]",
")",
"/",
"2",
")",
"# This updates the bèzier curve graphics",
"self",
".",
"lin",
".",
"bezier",
"=",
"(",
"self",
".",
"bez_start",
"+",
"start_right",
"+",
"[",
"dist",
",",
"self",
".",
"bez_start",
"[",
"1",
"]",
"]",
"+",
"[",
"dist",
",",
"self",
".",
"bez_end",
"[",
"1",
"]",
"]",
"+",
"end_left",
"+",
"self",
".",
"bez_end",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/connection.py#L251-L268 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/util/play_button.py | python | PlayButton.on_angle | (self, instance, values) | Only needed so spinner goes after 360. | Only needed so spinner goes after 360. | [
"Only",
"needed",
"so",
"spinner",
"goes",
"after",
"360",
"."
] | def on_angle(self, instance, values):
""" Only needed so spinner goes after 360. """
self.angle %= 360 | [
"def",
"on_angle",
"(",
"self",
",",
"instance",
",",
"values",
")",
":",
"self",
".",
"angle",
"%=",
"360"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/util/play_button.py#L38-L40 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/pins/pin.py | python | Pin.typesafe | (self, other: 'Pin') | Tells if a relation between two pins is typesafe. | Tells if a relation between two pins is typesafe. | [
"Tells",
"if",
"a",
"relation",
"between",
"two",
"pins",
"is",
"typesafe",
"."
] | def typesafe(self, other: 'Pin') -> bool:
""" Tells if a relation between two pins is typesafe. """
if self.block == other.block or self.__class__ == other.__class__:
return False
elif self.type_ == Type.ANY or other.type_ == Type.ANY:
return True # Anything is possible with ANY
else:
return self.type_ == other.type_ | [
"def",
"typesafe",
"(",
"self",
",",
"other",
":",
"'Pin'",
")",
"->",
"bool",
":",
"if",
"self",
".",
"block",
"==",
"other",
".",
"block",
"or",
"self",
".",
"__class__",
"==",
"other",
".",
"__class__",
":",
"return",
"False",
"elif",
"self",
".",
"type_",
"==",
"Type",
".",
"ANY",
"or",
"other",
".",
"type_",
"==",
"Type",
".",
"ANY",
":",
"return",
"True",
"# Anything is possible with ANY",
"else",
":",
"return",
"self",
".",
"type_",
"==",
"other",
".",
"type_"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/pins/pin.py#L32-L39 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/pins/pin.py | python | Pin.on_type_ | (self, instance: 'Pin', value: Type) | If the kv lang was a bit smarted this would not be needed | If the kv lang was a bit smarted this would not be needed | [
"If",
"the",
"kv",
"lang",
"was",
"a",
"bit",
"smarted",
"this",
"would",
"not",
"be",
"needed"
] | def on_type_(self, instance: 'Pin', value: Type):
""" If the kv lang was a bit smarted this would not be needed
"""
self.color = value.value | [
"def",
"on_type_",
"(",
"self",
",",
"instance",
":",
"'Pin'",
",",
"value",
":",
"Type",
")",
":",
"self",
".",
"color",
"=",
"value",
".",
"value"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/pins/pin.py#L42-L45 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blocks/block.py | python | Block.is_orphan | (self) | return True | Tells if a block is orphan, i.e. whether it has any connection | Tells if a block is orphan, i.e. whether it has any connection | [
"Tells",
"if",
"a",
"block",
"is",
"orphan",
"i",
".",
"e",
".",
"whether",
"it",
"has",
"any",
"connection"
] | def is_orphan(self) -> bool:
""" Tells if a block is orphan, i.e. whether it has any connection """
for in_pin in self.input_pins:
if in_pin.origin:
return False
for out_pin in self.output_pins:
if out_pin.destinations:
return False
return True | [
"def",
"is_orphan",
"(",
"self",
")",
"->",
"bool",
":",
"for",
"in_pin",
"in",
"self",
".",
"input_pins",
":",
"if",
"in_pin",
".",
"origin",
":",
"return",
"False",
"for",
"out_pin",
"in",
"self",
".",
"output_pins",
":",
"if",
"out_pin",
".",
"destinations",
":",
"return",
"False",
"return",
"True"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blocks/block.py#L77-L85 |
|
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blocks/block.py | python | Block.in_pin | (self, x: float, y: float) | return None | Checks if a position collides with any of the pins in the block. | Checks if a position collides with any of the pins in the block. | [
"Checks",
"if",
"a",
"position",
"collides",
"with",
"any",
"of",
"the",
"pins",
"in",
"the",
"block",
"."
] | def in_pin(self, x: float, y: float) -> Optional[Pin]:
""" Checks if a position collides with any of the pins in the block.
"""
for pin in self.input_pins + self.output_pins:
if pin.collide_point(x, y):
return pin
return None | [
"def",
"in_pin",
"(",
"self",
",",
"x",
":",
"float",
",",
"y",
":",
"float",
")",
"->",
"Optional",
"[",
"Pin",
"]",
":",
"for",
"pin",
"in",
"self",
".",
"input_pins",
"+",
"self",
".",
"output_pins",
":",
"if",
"pin",
".",
"collide_point",
"(",
"x",
",",
"y",
")",
":",
"return",
"pin",
"return",
"None"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blocks/block.py#L87-L93 |
|
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blocks/block.py | python | Block.kindle | (self) | Praise the sun \[T]/ | Praise the sun \[T]/ | [
"Praise",
"the",
"sun",
"\\",
"[",
"T",
"]",
"/"
] | def kindle(self):
""" Praise the sun \[T]/ """
with self.canvas.before:
Color(1, 1, 1)
self.kindled = BorderImage(pos=(self.x - 2, self.y - 2),
size=(self.width + 4,
self.height + 4),
texture=self.border_texture)
self.fbind('pos', self._bind_border) | [
"def",
"kindle",
"(",
"self",
")",
":",
"with",
"self",
".",
"canvas",
".",
"before",
":",
"Color",
"(",
"1",
",",
"1",
",",
"1",
")",
"self",
".",
"kindled",
"=",
"BorderImage",
"(",
"pos",
"=",
"(",
"self",
".",
"x",
"-",
"2",
",",
"self",
".",
"y",
"-",
"2",
")",
",",
"size",
"=",
"(",
"self",
".",
"width",
"+",
"4",
",",
"self",
".",
"height",
"+",
"4",
")",
",",
"texture",
"=",
"self",
".",
"border_texture",
")",
"self",
".",
"fbind",
"(",
"'pos'",
",",
"self",
".",
"_bind_border",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blocks/block.py#L115-L123 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blocks/block.py | python | Block.unkindle | (self) | Reverts the border image. | Reverts the border image. | [
"Reverts",
"the",
"border",
"image",
"."
] | def unkindle(self):
""" Reverts the border image. """
if self.kindled:
self.canvas.before.remove(self.kindled)
self.funbind('pos', self._bind_border)
self.kindled = None
else:
logger.warning('Called unkindle on a block not kindled') | [
"def",
"unkindle",
"(",
"self",
")",
":",
"if",
"self",
".",
"kindled",
":",
"self",
".",
"canvas",
".",
"before",
".",
"remove",
"(",
"self",
".",
"kindled",
")",
"self",
".",
"funbind",
"(",
"'pos'",
",",
"self",
".",
"_bind_border",
")",
"self",
".",
"kindled",
"=",
"None",
"else",
":",
"logger",
".",
"warning",
"(",
"'Called unkindle on a block not kindled'",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blocks/block.py#L125-L132 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blocks/block.py | python | Block._bind_border | (self, block: 'Block', new_pos: Tuple[float, float]) | Bind border to position. | Bind border to position. | [
"Bind",
"border",
"to",
"position",
"."
] | def _bind_border(self, block: 'Block', new_pos: Tuple[float, float]):
""" Bind border to position. """
self.kindled.pos = new_pos[0] - 2, new_pos[1] - 2 | [
"def",
"_bind_border",
"(",
"self",
",",
"block",
":",
"'Block'",
",",
"new_pos",
":",
"Tuple",
"[",
"float",
",",
"float",
"]",
")",
":",
"self",
".",
"kindled",
".",
"pos",
"=",
"new_pos",
"[",
"0",
"]",
"-",
"2",
",",
"new_pos",
"[",
"1",
"]",
"-",
"2"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blocks/block.py#L135-L137 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/view/blocks/block.py | python | Block._bind_pin | (self, block: 'Block', new_pos: Tuple[float, float],
pin: Pin, i: int, output: bool) | Keep pins on their respective places. | Keep pins on their respective places. | [
"Keep",
"pins",
"on",
"their",
"respective",
"places",
"."
] | def _bind_pin(self, block: 'Block', new_pos: Tuple[float, float],
pin: Pin, i: int, output: bool):
""" Keep pins on their respective places. """
pin.y = (block.y + (block.height - block.label.height) - i * self.gap +
pin.height / 2)
if output:
pin.x = block.x + block.width - self.gap
else:
pin.x = block.x + 5 | [
"def",
"_bind_pin",
"(",
"self",
",",
"block",
":",
"'Block'",
",",
"new_pos",
":",
"Tuple",
"[",
"float",
",",
"float",
"]",
",",
"pin",
":",
"Pin",
",",
"i",
":",
"int",
",",
"output",
":",
"bool",
")",
":",
"pin",
".",
"y",
"=",
"(",
"block",
".",
"y",
"+",
"(",
"block",
".",
"height",
"-",
"block",
".",
"label",
".",
"height",
")",
"-",
"i",
"*",
"self",
".",
"gap",
"+",
"pin",
".",
"height",
"/",
"2",
")",
"if",
"output",
":",
"pin",
".",
"x",
"=",
"block",
".",
"x",
"+",
"block",
".",
"width",
"-",
"self",
".",
"gap",
"else",
":",
"pin",
".",
"x",
"=",
"block",
".",
"x",
"+",
"5"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/view/blocks/block.py#L139-L147 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/backend/backend.py | python | Backend._exec_graph_parallel | (self) | Execution algorithm, introduces all blocks on a set, when a block
is executed it is taken out of the set until the set is empty. | Execution algorithm, introduces all blocks on a set, when a block
is executed it is taken out of the set until the set is empty. | [
"Execution",
"algorithm",
"introduces",
"all",
"blocks",
"on",
"a",
"set",
"when",
"a",
"block",
"is",
"executed",
"it",
"is",
"taken",
"out",
"of",
"the",
"set",
"until",
"the",
"set",
"is",
"empty",
"."
] | def _exec_graph_parallel(self):
""" Execution algorithm, introduces all blocks on a set, when a block
is executed it is taken out of the set until the set is empty. """
unseen = set(self.ir.blocks.keys()) # All blocks are unseen at start
# All output pins along their respectives values
seen = {} # type: Dict[int, Any]
while unseen:
unseen, seen = self._exec_block(unseen.pop(), unseen, seen)
logger.info('Execution done')
self.emit('graph_executed') | [
"def",
"_exec_graph_parallel",
"(",
"self",
")",
":",
"unseen",
"=",
"set",
"(",
"self",
".",
"ir",
".",
"blocks",
".",
"keys",
"(",
")",
")",
"# All blocks are unseen at start",
"# All output pins along their respectives values",
"seen",
"=",
"{",
"}",
"# type: Dict[int, Any]",
"while",
"unseen",
":",
"unseen",
",",
"seen",
"=",
"self",
".",
"_exec_block",
"(",
"unseen",
".",
"pop",
"(",
")",
",",
"unseen",
",",
"seen",
")",
"logger",
".",
"info",
"(",
"'Execution done'",
")",
"self",
".",
"emit",
"(",
"'graph_executed'",
")"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/backend/backend.py#L29-L38 |
||
AlvarBer/Persimmon | da08ed854dd0305d7e4684e97ee828acffd76b4d | persimmon/backend/backend.py | python | Backend._exec_block | (self, current: int, unseen: set,
seen: Dict[int, Any]) | return unseen, seen | Execute a block, if any dependency is not yet executed we
recurse into it first. | Execute a block, if any dependency is not yet executed we
recurse into it first. | [
"Execute",
"a",
"block",
"if",
"any",
"dependency",
"is",
"not",
"yet",
"executed",
"we",
"recurse",
"into",
"it",
"first",
"."
] | def _exec_block(self, current: int, unseen: set,
seen: Dict[int, Any]) -> Tuple[set, Dict[int, Any]]:
""" Execute a block, if any dependency is not yet executed we
recurse into it first. """
logger.debug('Executing block {}'.format(current))
current_block = self.ir.blocks[current]
for in_pin in map(lambda x: self.ir.inputs[x], current_block.inputs):
origin = in_pin.origin
if origin not in seen:
dependency = self.ir.outputs[origin].block
unseen.remove(dependency)
unseen, seen = self._exec_block(dependency, unseen, seen)
in_pin.pin.val = seen[origin]
current_block.function()
self.emit('block_executed', current)
logger.debug('Block {} executed'.format(current))
for out_id in current_block.outputs:
seen[out_id] = self.ir.outputs[out_id].pin.val
return unseen, seen | [
"def",
"_exec_block",
"(",
"self",
",",
"current",
":",
"int",
",",
"unseen",
":",
"set",
",",
"seen",
":",
"Dict",
"[",
"int",
",",
"Any",
"]",
")",
"->",
"Tuple",
"[",
"set",
",",
"Dict",
"[",
"int",
",",
"Any",
"]",
"]",
":",
"logger",
".",
"debug",
"(",
"'Executing block {}'",
".",
"format",
"(",
"current",
")",
")",
"current_block",
"=",
"self",
".",
"ir",
".",
"blocks",
"[",
"current",
"]",
"for",
"in_pin",
"in",
"map",
"(",
"lambda",
"x",
":",
"self",
".",
"ir",
".",
"inputs",
"[",
"x",
"]",
",",
"current_block",
".",
"inputs",
")",
":",
"origin",
"=",
"in_pin",
".",
"origin",
"if",
"origin",
"not",
"in",
"seen",
":",
"dependency",
"=",
"self",
".",
"ir",
".",
"outputs",
"[",
"origin",
"]",
".",
"block",
"unseen",
".",
"remove",
"(",
"dependency",
")",
"unseen",
",",
"seen",
"=",
"self",
".",
"_exec_block",
"(",
"dependency",
",",
"unseen",
",",
"seen",
")",
"in_pin",
".",
"pin",
".",
"val",
"=",
"seen",
"[",
"origin",
"]",
"current_block",
".",
"function",
"(",
")",
"self",
".",
"emit",
"(",
"'block_executed'",
",",
"current",
")",
"logger",
".",
"debug",
"(",
"'Block {} executed'",
".",
"format",
"(",
"current",
")",
")",
"for",
"out_id",
"in",
"current_block",
".",
"outputs",
":",
"seen",
"[",
"out_id",
"]",
"=",
"self",
".",
"ir",
".",
"outputs",
"[",
"out_id",
"]",
".",
"pin",
".",
"val",
"return",
"unseen",
",",
"seen"
] | https://github.com/AlvarBer/Persimmon/blob/da08ed854dd0305d7e4684e97ee828acffd76b4d/persimmon/backend/backend.py#L40-L60 |
|
AnasAboureada/Penetration-Testing-Study-Notes | 8152fd609cf818dba2f07e060738a24c56221687 | enumeration/tools/recon_scan/samrdump.py | python | SAMRDump.dump | (self, addr) | Dumps the list of users and shares registered present at
addr. Addr is a valid host name or IP address. | Dumps the list of users and shares registered present at
addr. Addr is a valid host name or IP address. | [
"Dumps",
"the",
"list",
"of",
"users",
"and",
"shares",
"registered",
"present",
"at",
"addr",
".",
"Addr",
"is",
"a",
"valid",
"host",
"name",
"or",
"IP",
"address",
"."
] | def dump(self, addr):
"""Dumps the list of users and shares registered present at
addr. Addr is a valid host name or IP address.
"""
encoding = sys.getdefaultencoding()
print 'Retrieving endpoint list from %s' % addr
# Try all requested protocols until one works.
entries = []
for protocol in self.__protocols:
protodef = SAMRDump.KNOWN_PROTOCOLS[protocol]
port = protodef[1]
print "Trying protocol %s..." % protocol
rpctransport = transport.SMBTransport(addr, port, r'\samr', self.__username, self.__password, self.__domain, self.__lmhash, self.__nthash)
try:
entries = self.__fetchList(rpctransport)
except Exception, e:
print 'Protocol failed: %s' % e
raise
else:
# Got a response. No need for further iterations.
break
# Display results.
for entry in entries:
(username, uid, user) = entry
base = "%s (%d)" % (username, uid)
print base + '/Enabled:', ('false', 'true')[user.is_enabled()]
print base + '/Last Logon:', user.get_logon_time()
print base + '/Last Logoff:', user.get_logoff_time()
print base + '/Kickoff:', user.get_kickoff_time()
print base + '/Last PWD Set:', user.get_pwd_last_set()
print base + '/PWD Can Change:', user.get_pwd_can_change()
print base + '/PWD Must Change:', user.get_pwd_must_change()
print base + '/Group id: %d' % user.get_group_id()
print base + '/Bad pwd count: %d' % user.get_bad_pwd_count()
print base + '/Logon count: %d' % user.get_logon_count()
items = user.get_items()
for i in samr.MSRPCUserInfo.ITEMS.keys():
name = items[samr.MSRPCUserInfo.ITEMS[i]].get_name()
name = name.encode(encoding, 'replace')
print base + '/' + i + ':', name
if entries:
num = len(entries)
if 1 == num:
print 'Received one entry.'
else:
print 'Received %d entries.' % num
else:
print 'No entries received.' | [
"def",
"dump",
"(",
"self",
",",
"addr",
")",
":",
"encoding",
"=",
"sys",
".",
"getdefaultencoding",
"(",
")",
"print",
"'Retrieving endpoint list from %s'",
"%",
"addr",
"# Try all requested protocols until one works.",
"entries",
"=",
"[",
"]",
"for",
"protocol",
"in",
"self",
".",
"__protocols",
":",
"protodef",
"=",
"SAMRDump",
".",
"KNOWN_PROTOCOLS",
"[",
"protocol",
"]",
"port",
"=",
"protodef",
"[",
"1",
"]",
"print",
"\"Trying protocol %s...\"",
"%",
"protocol",
"rpctransport",
"=",
"transport",
".",
"SMBTransport",
"(",
"addr",
",",
"port",
",",
"r'\\samr'",
",",
"self",
".",
"__username",
",",
"self",
".",
"__password",
",",
"self",
".",
"__domain",
",",
"self",
".",
"__lmhash",
",",
"self",
".",
"__nthash",
")",
"try",
":",
"entries",
"=",
"self",
".",
"__fetchList",
"(",
"rpctransport",
")",
"except",
"Exception",
",",
"e",
":",
"print",
"'Protocol failed: %s'",
"%",
"e",
"raise",
"else",
":",
"# Got a response. No need for further iterations.",
"break",
"# Display results.",
"for",
"entry",
"in",
"entries",
":",
"(",
"username",
",",
"uid",
",",
"user",
")",
"=",
"entry",
"base",
"=",
"\"%s (%d)\"",
"%",
"(",
"username",
",",
"uid",
")",
"print",
"base",
"+",
"'/Enabled:'",
",",
"(",
"'false'",
",",
"'true'",
")",
"[",
"user",
".",
"is_enabled",
"(",
")",
"]",
"print",
"base",
"+",
"'/Last Logon:'",
",",
"user",
".",
"get_logon_time",
"(",
")",
"print",
"base",
"+",
"'/Last Logoff:'",
",",
"user",
".",
"get_logoff_time",
"(",
")",
"print",
"base",
"+",
"'/Kickoff:'",
",",
"user",
".",
"get_kickoff_time",
"(",
")",
"print",
"base",
"+",
"'/Last PWD Set:'",
",",
"user",
".",
"get_pwd_last_set",
"(",
")",
"print",
"base",
"+",
"'/PWD Can Change:'",
",",
"user",
".",
"get_pwd_can_change",
"(",
")",
"print",
"base",
"+",
"'/PWD Must Change:'",
",",
"user",
".",
"get_pwd_must_change",
"(",
")",
"print",
"base",
"+",
"'/Group id: %d'",
"%",
"user",
".",
"get_group_id",
"(",
")",
"print",
"base",
"+",
"'/Bad pwd count: %d'",
"%",
"user",
".",
"get_bad_pwd_count",
"(",
")",
"print",
"base",
"+",
"'/Logon count: %d'",
"%",
"user",
".",
"get_logon_count",
"(",
")",
"items",
"=",
"user",
".",
"get_items",
"(",
")",
"for",
"i",
"in",
"samr",
".",
"MSRPCUserInfo",
".",
"ITEMS",
".",
"keys",
"(",
")",
":",
"name",
"=",
"items",
"[",
"samr",
".",
"MSRPCUserInfo",
".",
"ITEMS",
"[",
"i",
"]",
"]",
".",
"get_name",
"(",
")",
"name",
"=",
"name",
".",
"encode",
"(",
"encoding",
",",
"'replace'",
")",
"print",
"base",
"+",
"'/'",
"+",
"i",
"+",
"':'",
",",
"name",
"if",
"entries",
":",
"num",
"=",
"len",
"(",
"entries",
")",
"if",
"1",
"==",
"num",
":",
"print",
"'Received one entry.'",
"else",
":",
"print",
"'Received %d entries.'",
"%",
"num",
"else",
":",
"print",
"'No entries received.'"
] | https://github.com/AnasAboureada/Penetration-Testing-Study-Notes/blob/8152fd609cf818dba2f07e060738a24c56221687/enumeration/tools/recon_scan/samrdump.py#L54-L110 |
||
AonCyberLabs/EvilAbigail | 5bde1d49a76ef2e5a6e6bcda5b094441b41144ad | evilmaid.py | python | UI.__init__ | (self) | Setup the main screen, progress bars and logging box | Setup the main screen, progress bars and logging box | [
"Setup",
"the",
"main",
"screen",
"progress",
"bars",
"and",
"logging",
"box"
] | def __init__(self):
"""
Setup the main screen, progress bars and logging box
"""
self.screen = curses.initscr()
curses.curs_set(0)
curses.start_color()
curses.init_pair(1, curses.COLOR_RED, curses.COLOR_BLACK)
curses.init_pair(2, curses.COLOR_GREEN, curses.COLOR_BLACK)
curses.init_pair(3, curses.COLOR_MAGENTA, curses.COLOR_BLACK)
curses.init_pair(4, curses.COLOR_CYAN, curses.COLOR_BLACK)
curses.init_pair(5, curses.COLOR_BLUE, curses.COLOR_BLACK)
curses.init_pair(6, curses.COLOR_YELLOW, curses.COLOR_BLACK)
self.height, self.width = self.screen.getmaxyx()
self.screen.border()
self.preptotal()
self.prepcurrent()
self.preplog()
self.banner()
self.sig()
self.drives = len(glob.glob("/dev/sd?1"))
self.donedrives = 0
self.prevprogress = 0
self.loglines = []
self.idx = 1 | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"screen",
"=",
"curses",
".",
"initscr",
"(",
")",
"curses",
".",
"curs_set",
"(",
"0",
")",
"curses",
".",
"start_color",
"(",
")",
"curses",
".",
"init_pair",
"(",
"1",
",",
"curses",
".",
"COLOR_RED",
",",
"curses",
".",
"COLOR_BLACK",
")",
"curses",
".",
"init_pair",
"(",
"2",
",",
"curses",
".",
"COLOR_GREEN",
",",
"curses",
".",
"COLOR_BLACK",
")",
"curses",
".",
"init_pair",
"(",
"3",
",",
"curses",
".",
"COLOR_MAGENTA",
",",
"curses",
".",
"COLOR_BLACK",
")",
"curses",
".",
"init_pair",
"(",
"4",
",",
"curses",
".",
"COLOR_CYAN",
",",
"curses",
".",
"COLOR_BLACK",
")",
"curses",
".",
"init_pair",
"(",
"5",
",",
"curses",
".",
"COLOR_BLUE",
",",
"curses",
".",
"COLOR_BLACK",
")",
"curses",
".",
"init_pair",
"(",
"6",
",",
"curses",
".",
"COLOR_YELLOW",
",",
"curses",
".",
"COLOR_BLACK",
")",
"self",
".",
"height",
",",
"self",
".",
"width",
"=",
"self",
".",
"screen",
".",
"getmaxyx",
"(",
")",
"self",
".",
"screen",
".",
"border",
"(",
")",
"self",
".",
"preptotal",
"(",
")",
"self",
".",
"prepcurrent",
"(",
")",
"self",
".",
"preplog",
"(",
")",
"self",
".",
"banner",
"(",
")",
"self",
".",
"sig",
"(",
")",
"self",
".",
"drives",
"=",
"len",
"(",
"glob",
".",
"glob",
"(",
"\"/dev/sd?1\"",
")",
")",
"self",
".",
"donedrives",
"=",
"0",
"self",
".",
"prevprogress",
"=",
"0",
"self",
".",
"loglines",
"=",
"[",
"]",
"self",
".",
"idx",
"=",
"1"
] | https://github.com/AonCyberLabs/EvilAbigail/blob/5bde1d49a76ef2e5a6e6bcda5b094441b41144ad/evilmaid.py#L129-L157 |
||
AonCyberLabs/EvilAbigail | 5bde1d49a76ef2e5a6e6bcda5b094441b41144ad | evilmaid.py | python | UI.banner | (self) | Print the above banner and copyight notice | Print the above banner and copyight notice | [
"Print",
"the",
"above",
"banner",
"and",
"copyight",
"notice"
] | def banner(self):
"""
Print the above banner and copyight notice
"""
bannerlines = banner.split('\n')
for idx, line in enumerate(bannerlines):
self.screen.addstr(2+idx, 1, line.center(self.width-2), curses.color_pair(3))
start = bannerlines[2].center(self.width-2).index('|')+1
self.screen.addstr(1+idx, start, copyrightlhs, curses.color_pair(1))
self.screen.addstr(1+idx, start+len(copyrightlhs)+7, copyrightrhs, curses.color_pair(1))
self.screen.addstr(2+idx, start, url.rjust(len(bannerlines[2])), curses.color_pair(4)) | [
"def",
"banner",
"(",
"self",
")",
":",
"bannerlines",
"=",
"banner",
".",
"split",
"(",
"'\\n'",
")",
"for",
"idx",
",",
"line",
"in",
"enumerate",
"(",
"bannerlines",
")",
":",
"self",
".",
"screen",
".",
"addstr",
"(",
"2",
"+",
"idx",
",",
"1",
",",
"line",
".",
"center",
"(",
"self",
".",
"width",
"-",
"2",
")",
",",
"curses",
".",
"color_pair",
"(",
"3",
")",
")",
"start",
"=",
"bannerlines",
"[",
"2",
"]",
".",
"center",
"(",
"self",
".",
"width",
"-",
"2",
")",
".",
"index",
"(",
"'|'",
")",
"+",
"1",
"self",
".",
"screen",
".",
"addstr",
"(",
"1",
"+",
"idx",
",",
"start",
",",
"copyrightlhs",
",",
"curses",
".",
"color_pair",
"(",
"1",
")",
")",
"self",
".",
"screen",
".",
"addstr",
"(",
"1",
"+",
"idx",
",",
"start",
"+",
"len",
"(",
"copyrightlhs",
")",
"+",
"7",
",",
"copyrightrhs",
",",
"curses",
".",
"color_pair",
"(",
"1",
")",
")",
"self",
".",
"screen",
".",
"addstr",
"(",
"2",
"+",
"idx",
",",
"start",
",",
"url",
".",
"rjust",
"(",
"len",
"(",
"bannerlines",
"[",
"2",
"]",
")",
")",
",",
"curses",
".",
"color_pair",
"(",
"4",
")",
")"
] | https://github.com/AonCyberLabs/EvilAbigail/blob/5bde1d49a76ef2e5a6e6bcda5b094441b41144ad/evilmaid.py#L159-L169 |
||
AonCyberLabs/EvilAbigail | 5bde1d49a76ef2e5a6e6bcda5b094441b41144ad | evilmaid.py | python | UI.sig | (self) | Print author signature | Print author signature | [
"Print",
"author",
"signature"
] | def sig(self):
"""
Print author signature
"""
self.sig = self.screen.subwin((self.height/2)-6, (self.width-2)/2, (self.height/2)+6, ((self.width-2)/2)+1)
self.sig.border()
self.sig.addstr(1, 1, "Evil Abigail".center(((self.width-2)/2)-2), curses.color_pair(6))
self.sig.addstr(2, 1, "Rory McNamara".center(((self.width-2)/2)-2), curses.color_pair(6))
self.sig.addstr(3, 1, "rmcnamara@gdssecurity.com".center(((self.width-2)/2)-2), curses.color_pair(6)) | [
"def",
"sig",
"(",
"self",
")",
":",
"self",
".",
"sig",
"=",
"self",
".",
"screen",
".",
"subwin",
"(",
"(",
"self",
".",
"height",
"/",
"2",
")",
"-",
"6",
",",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
",",
"(",
"self",
".",
"height",
"/",
"2",
")",
"+",
"6",
",",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"+",
"1",
")",
"self",
".",
"sig",
".",
"border",
"(",
")",
"self",
".",
"sig",
".",
"addstr",
"(",
"1",
",",
"1",
",",
"\"Evil Abigail\"",
".",
"center",
"(",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"-",
"2",
")",
",",
"curses",
".",
"color_pair",
"(",
"6",
")",
")",
"self",
".",
"sig",
".",
"addstr",
"(",
"2",
",",
"1",
",",
"\"Rory McNamara\"",
".",
"center",
"(",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"-",
"2",
")",
",",
"curses",
".",
"color_pair",
"(",
"6",
")",
")",
"self",
".",
"sig",
".",
"addstr",
"(",
"3",
",",
"1",
",",
"\"rmcnamara@gdssecurity.com\"",
".",
"center",
"(",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"-",
"2",
")",
",",
"curses",
".",
"color_pair",
"(",
"6",
")",
")"
] | https://github.com/AonCyberLabs/EvilAbigail/blob/5bde1d49a76ef2e5a6e6bcda5b094441b41144ad/evilmaid.py#L171-L179 |
||
AonCyberLabs/EvilAbigail | 5bde1d49a76ef2e5a6e6bcda5b094441b41144ad | evilmaid.py | python | UI.preptotal | (self) | Draw the total progress bar | Draw the total progress bar | [
"Draw",
"the",
"total",
"progress",
"bar"
] | def preptotal(self):
"""
Draw the total progress bar
"""
self.totalbar = self.screen.subwin(3, (self.width-2)/2, (self.height/2), ((self.width-2)/2)+1)
self.totalbar.erase()
self.totalbar.border()
self.screen.addstr((self.height/2), ((self.width-2)/2)+4, "Total Progress") | [
"def",
"preptotal",
"(",
"self",
")",
":",
"self",
".",
"totalbar",
"=",
"self",
".",
"screen",
".",
"subwin",
"(",
"3",
",",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
",",
"(",
"self",
".",
"height",
"/",
"2",
")",
",",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"+",
"1",
")",
"self",
".",
"totalbar",
".",
"erase",
"(",
")",
"self",
".",
"totalbar",
".",
"border",
"(",
")",
"self",
".",
"screen",
".",
"addstr",
"(",
"(",
"self",
".",
"height",
"/",
"2",
")",
",",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"+",
"4",
",",
"\"Total Progress\"",
")"
] | https://github.com/AonCyberLabs/EvilAbigail/blob/5bde1d49a76ef2e5a6e6bcda5b094441b41144ad/evilmaid.py#L181-L188 |
||
AonCyberLabs/EvilAbigail | 5bde1d49a76ef2e5a6e6bcda5b094441b41144ad | evilmaid.py | python | UI.prepcurrent | (self) | Draw the current progress bar | Draw the current progress bar | [
"Draw",
"the",
"current",
"progress",
"bar"
] | def prepcurrent(self):
"""
Draw the current progress bar
"""
self.currentbar = self.screen.subwin(3, (self.width-2)/2, (self.height/2)+3, ((self.width-2)/2)+1)
self.currentbar.erase()
self.currentbar.border()
self.screen.addstr((self.height/2)+3, ((self.width-2)/2)+4, "Current Drive Progress") | [
"def",
"prepcurrent",
"(",
"self",
")",
":",
"self",
".",
"currentbar",
"=",
"self",
".",
"screen",
".",
"subwin",
"(",
"3",
",",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
",",
"(",
"self",
".",
"height",
"/",
"2",
")",
"+",
"3",
",",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"+",
"1",
")",
"self",
".",
"currentbar",
".",
"erase",
"(",
")",
"self",
".",
"currentbar",
".",
"border",
"(",
")",
"self",
".",
"screen",
".",
"addstr",
"(",
"(",
"self",
".",
"height",
"/",
"2",
")",
"+",
"3",
",",
"(",
"(",
"self",
".",
"width",
"-",
"2",
")",
"/",
"2",
")",
"+",
"4",
",",
"\"Current Drive Progress\"",
")"
] | https://github.com/AonCyberLabs/EvilAbigail/blob/5bde1d49a76ef2e5a6e6bcda5b094441b41144ad/evilmaid.py#L190-L197 |