xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

bdcf2da7a56efda3bda793288b1028391d3c4084

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py

Python

tests/play.py

airportyh/cpython

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[ "0BSD" ]

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tests/play.py

airportyh/cpython

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tests/play.py

airportyh/cpython

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[ "0BSD" ]

null

l = [] l.insert(1, 3)

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Python

src/portal/azext_portal/generated/_client_factory.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

207

2017-11-29T06:59:41.000Z

2022-03-31T10:00:53.000Z

src/portal/azext_portal/generated/_client_factory.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

4,061

2017-10-27T23:19:56.000Z

2022-03-31T23:18:30.000Z

src/portal/azext_portal/generated/_client_factory.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

802

2017-10-11T17:36:26.000Z

2022-03-31T22:24:32.000Z

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- def cf_portal(cli_ctx, *_): from azure.cli.core.commands.client_factory import get_mgmt_service_client from ..vendored_sdks.portal import Portal return get_mgmt_service_client(cli_ctx, Portal) def cf_dashboard(cli_ctx, *_): return cf_portal(cli_ctx).dashboard

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Python

python/testData/completion/duplicateColon.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

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2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/duplicateColon.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

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python/testData/completion/duplicateColon.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

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2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class C: def __ini<caret>:

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da4c7f5cc55854400778a4e194285cda64395dd4

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py

Python

backend/api/migrations/0008_auto_20190324_0156.py

forgeno/CMPUT404-group-project

fa1085919995d1965613db511102569019ffe8e6

[ "Apache-2.0" ]

null

backend/api/migrations/0008_auto_20190324_0156.py

forgeno/CMPUT404-group-project

fa1085919995d1965613db511102569019ffe8e6

[ "Apache-2.0" ]

117

2019-02-08T16:44:55.000Z

2019-04-08T04:44:55.000Z

backend/api/migrations/0008_auto_20190324_0156.py

forgeno/CMPUT404-project-socialdistribution

fa1085919995d1965613db511102569019ffe8e6

[ "Apache-2.0" ]

1

2019-01-30T20:33:35.000Z

# Generated by Django 2.1.5 on 2019-03-24 01:56 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('api', '0007_auto_20190324_0118'), ] operations = [ migrations.RemoveField( model_name='serveruser', name='password', ), migrations.RemoveField( model_name='serveruser', name='username', ), ]

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Python

src/fortrace/botnet/bots/skeleton/__init__.py

dasec/ForTrace

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[ "MIT" ]

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2022-03-31T14:01:51.000Z

src/fortrace/botnet/bots/skeleton/__init__.py

dasec/ForTrace

b8187522a2c83fb661e5a1a5f403da8f40a31ead

[ "MIT" ]

null

src/fortrace/botnet/bots/skeleton/__init__.py

dasec/ForTrace

b8187522a2c83fb661e5a1a5f403da8f40a31ead

[ "MIT" ]

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2022-03-31T14:02:30.000Z

"""This package contains a very basic skeleton for implementing botnet components. """

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Python

src/errors.py

yxtay/falcon-echo

a53d91ac9302041d11188a57e48b37d8d4a37131

[ "MIT" ]

null

src/errors.py

yxtay/falcon-echo

a53d91ac9302041d11188a57e48b37d8d4a37131

[ "MIT" ]

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2019-10-28T09:21:00.000Z

2019-11-06T08:27:09.000Z

src/errors.py

yxtay/falcon-echo

a53d91ac9302041d11188a57e48b37d8d4a37131

[ "MIT" ]

null

import falcon class HTTPValidationError(falcon.HTTPError): def __init__(self, errors): self.errors = errors super().__init__(falcon.HTTP_422) def to_dict(self, obj_type=dict): pass

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Python

openre/device/abstract.py

openre/openre

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[ "MIT" ]

null

openre/device/abstract.py

openre/openre

c5969df92cac83bdafd049e1c0a3bcf56b51223a

[ "MIT" ]

null

openre/device/abstract.py

openre/openre

c5969df92cac83bdafd049e1c0a3bcf56b51223a

[ "MIT" ]

1

2016-02-14T11:20:57.000Z

# -*- coding: utf-8 -*- """ Интерфейс к различным устройствам, на которых будет моделироваться сеть. """ class Device(object): """ Абстрактный класс для устройств """ def __init__(self, config): self.config = config def tick_neurons(self, domain): """ Проверяем нейроны на спайки. """ raise NotImplementedError def tick_synapses(self, domain): """ Передаем сигналы от pre-нейронов, у которых наступил спайк к post-нейронам """ raise NotImplementedError def tick_transmitter_index(self, domain): """ Получаем спайки из устройства для нейронов с флагом IS_TRANSMITTER """ raise NotImplementedError def tick_receiver_index(self, domain): """ Передаем в устройство спайки для нейронов с флагом IS_RECEIVER """ raise NotImplementedError def create(self, data): """ Создает указатель на данные на устройстве для data """ raise NotImplementedError def upload(self, device_data_pointer, data, is_blocking=True): """ Данные из data копируются на устройство и возвращается указатель на данные на устройсте """ raise NotImplementedError def download(self, data, device_data_pointer, is_blocking=True): """ Данные с устройства (указатель dev_data) копируются в data """ raise NotImplementedError def clean(self): """ Правильно завершаем работу устройства, если это необходимо """ pass

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Python

RedWebhook/__init__.py

japandotorg/RedHook

c6c148d6e33f2f65b8b203c2235e4f979fa28711

[ "MIT" ]

null

RedWebhook/__init__.py

japandotorg/RedHook

c6c148d6e33f2f65b8b203c2235e4f979fa28711

[ "MIT" ]

null

RedWebhook/__init__.py

japandotorg/RedHook

c6c148d6e33f2f65b8b203c2235e4f979fa28711

[ "MIT" ]

null

__all__ = ["RedWebhook", "DiscordEmbed"] from .webhook import RedWebhook, DiscordEmbed

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py

Python

examples/say_hello_example.py

mkmenta/python-package-example

0750edee573858431c74286a7e8cbd1543c0c1a7

[ "MIT" ]

1

2021-06-04T14:17:12.000Z

examples/say_hello_example.py

mkmenta/python-package-example

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[ "MIT" ]

6

2020-08-30T21:04:17.000Z

2021-02-28T00:52:36.000Z

examples/say_hello_example.py

mkmenta/python-package-example

0750edee573858431c74286a7e8cbd1543c0c1a7

[ "MIT" ]

null

from helloworld import say_hello # Generate "Hello world!" greeting = say_hello() print(greeting) # Generate "Hello mkmenta!" greeting = say_hello("mkmenta") print(greeting)

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Python

stockmarket/stockmovements/migrations/0003_auto_20190423_1331.py

prabhat-123/Nepalese_stock_data_scrapping

c557b0fca09d8e278b5d380494436d8b207d2602

[ "MIT" ]

2

2020-04-29T06:03:11.000Z

2020-07-23T05:17:41.000Z

stockmarket/stockmovements/migrations/0003_auto_20190423_1331.py

prabhat-123/Nepalese_stock_data_scrapping

c557b0fca09d8e278b5d380494436d8b207d2602

[ "MIT" ]

7

2020-07-20T12:27:57.000Z

2021-09-22T18:56:42.000Z

stockmarket/stockmovements/migrations/0003_auto_20190423_1331.py

prabhat-123/Nepalese_stock_data_scrapping

c557b0fca09d8e278b5d380494436d8b207d2602

[ "MIT" ]

null

# Generated by Django 2.2 on 2019-04-23 07:46 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('stockmovements', '0002_auto_20190423_0049'), ] operations = [ migrations.RemoveField( model_name='stockhead', name='amount', ), migrations.RemoveField( model_name='stockhead', name='closingprice', ), migrations.RemoveField( model_name='stockhead', name='company', ), migrations.RemoveField( model_name='stockhead', name='diff', ), migrations.RemoveField( model_name='stockhead', name='index', ), migrations.RemoveField( model_name='stockhead', name='maxprice', ), migrations.RemoveField( model_name='stockhead', name='minprice', ), migrations.RemoveField( model_name='stockhead', name='prevclosing', ), migrations.RemoveField( model_name='stockhead', name='tradedshares', ), migrations.RemoveField( model_name='stockhead', name='transactions', ), migrations.AddField( model_name='stockhead', name='ClosingPrice', field=models.FloatField(default=1, max_length=10), ), migrations.AddField( model_name='stockhead', name='DiffRs', field=models.FloatField(default=1, max_length=6), ), migrations.AddField( model_name='stockhead', name='MaxPrice', field=models.FloatField(default=1, max_length=15), ), migrations.AddField( model_name='stockhead', name='MinPrice', field=models.FloatField(default=1, max_length=15), ), migrations.AddField( model_name='stockhead', name='NoOfTransactions', field=models.IntegerField(default=1), ), migrations.AddField( model_name='stockhead', name='PrevClosing', field=models.FloatField(default=1, max_length=10), ), migrations.AddField( model_name='stockhead', name='SNo', field=models.IntegerField(db_column='S.No.', default=1), ), migrations.AddField( model_name='stockhead', name='TradedAmount', field=models.IntegerField(default=1), ), migrations.AddField( model_name='stockhead', name='TradedCompanies', field=models.CharField(default='Abc', max_length=60), ), migrations.AddField( model_name='stockhead', name='TradedShares', field=models.IntegerField(default=1), ), ]

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Python

tests/list_unknown_actions.py

ocefpaf/trailscraper

1db91df5738f19d022760eda08ef310c73090b57

[ "Apache-2.0" ]

497

2018-01-08T15:36:05.000Z

2022-03-30T14:11:54.000Z

tests/list_unknown_actions.py

ocefpaf/trailscraper

1db91df5738f19d022760eda08ef310c73090b57

[ "Apache-2.0" ]

97

2017-11-26T13:52:20.000Z

2022-02-07T01:36:10.000Z

tests/list_unknown_actions.py

ocefpaf/trailscraper

1db91df5738f19d022760eda08ef310c73090b57

[ "Apache-2.0" ]

26

2019-04-04T21:37:29.000Z

2022-02-18T10:23:07.000Z

#!/usr/bin/env python from tests.cloudtrail.map_to_iam_sanity_test import unknown_actions if __name__ == "__main__": for action in sorted(unknown_actions()): print action

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py

Python

clients/urls.py

Boring-Mind/bank-transactions

e537114c0dd1402c9beb579d78c31519cb6da64b

[ "MIT" ]

null

clients/urls.py

Boring-Mind/bank-transactions

e537114c0dd1402c9beb579d78c31519cb6da64b

[ "MIT" ]

3

2021-06-04T23:47:36.000Z

2021-09-22T19:30:21.000Z

clients/urls.py

Boring-Mind/bank-transactions

e537114c0dd1402c9beb579d78c31519cb6da64b

[ "MIT" ]

null

from django.urls import path from .views import * urlpatterns = [ path('', ClientCreateView.as_view(), name="user"), path('<int:pk>', ClientIdView.as_view(), name="user_id"), ]

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py

Python

tokopedia/response.py

hexatester/tokopedia

20e46c3ec2c70de6b24460634b7c185ffdb15691

[ "MIT" ]

5

2021-07-01T05:09:20.000Z

2022-03-06T10:53:07.000Z

tokopedia/response.py

hexatester/tokopedia

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[ "MIT" ]

null

tokopedia/response.py

hexatester/tokopedia

20e46c3ec2c70de6b24460634b7c185ffdb15691

[ "MIT" ]

1

2022-02-14T01:20:34.000Z

import attr from typing import List, Optional, Union @attr.dataclass(slots=True) class BaseResponseHeader: process_time: float messages: str class ResponseHeader(BaseResponseHeader): pass @attr.dataclass(slots=True) class ErrorResponseHeader(BaseResponseHeader): reason: str error_code: str @attr.dataclass(slots=True) class TokopediaResponse: header: Union[ResponseHeader, ErrorResponseHeader, None] @attr.dataclass(slots=True) class TokopediaResponseV2: status: Optional[str] error_message: Optional[List[str]]

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Python

benchmark.py

RolandGao/RegSeg

40f8c0bab7048eb5bb8bba6c76393275e61f7050

[ "MIT" ]

44

2021-11-23T08:03:28.000Z

2022-03-25T04:11:00.000Z

benchmark.py

RolandGao/RegSeg

40f8c0bab7048eb5bb8bba6c76393275e61f7050

[ "MIT" ]

10

2021-11-29T05:37:01.000Z

2022-03-19T08:58:21.000Z

benchmark.py

RolandGao/RegSeg

40f8c0bab7048eb5bb8bba6c76393275e61f7050

[ "MIT" ]

8

2021-11-23T11:49:09.000Z

2022-03-17T10:04:42.000Z

# adapted from https://github.com/facebookresearch/pycls/blob/f8cd962737e33ce9e19b3083a33551da95c2d9c0/pycls/core/benchmark.py import torch import time import torch.cuda.amp as amp import torch.nn.functional import torch.nn as nn @torch.no_grad() def compute_eval_time(model,device,warmup_iter,num_iter,val_input_size,mixed_precision): model.eval() if isinstance(val_input_size,int): h,w=val_input_size,val_input_size*2 else: h,w=val_input_size x=torch.randn(1,3,h,w).to(device) times=[] for cur_iter in range(warmup_iter+num_iter): if cur_iter == warmup_iter: times.clear() t1=time.time() with amp.autocast(enabled=mixed_precision): output = model(x) torch.cuda.synchronize() t2=time.time() times.append(t2-t1) return average(times) @torch.no_grad() def compute_eval_time2(model,x,warmup_iter,num_iter,mixed_precision): model.eval() times=[] for cur_iter in range(warmup_iter+num_iter): if cur_iter == warmup_iter: times.clear() t1=time.time() with amp.autocast(enabled=mixed_precision): output = model(x) torch.cuda.synchronize() t2=time.time() times.append(t2-t1) return average(times) def compute_train_time2(model,x,target,warmup_iter,num_iter,mixed_precision): model.train() times=[] for cur_iter in range(warmup_iter+num_iter): if cur_iter == warmup_iter: times.clear() t1=time.time() with amp.autocast(enabled=mixed_precision): output = model(x,target) torch.cuda.synchronize() t2=time.time() times.append(t2-t1) return average(times) def average(v): return sum(v)/len(v) def compute_train_time(model,warmup_iter,num_iter,train_crop_size,batch_size,num_classes,mixed_precision, loss_fun): model.train() if isinstance(train_crop_size,int): crop_h,crop_w=train_crop_size,train_crop_size else: crop_h,crop_w=train_crop_size x=torch.randn(batch_size, 3, crop_h,crop_w).cuda(non_blocking=False) target=torch.randint(0,num_classes,(batch_size, crop_h,crop_w)).cuda(non_blocking=False) fw_times=[] bw_times=[] scaler = amp.GradScaler(enabled=mixed_precision) for cur_iter in range(warmup_iter+num_iter): if cur_iter == warmup_iter: fw_times.clear() bw_times.clear() t1=time.time() with amp.autocast(enabled=mixed_precision): output = model(x) loss = loss_fun(output,target) torch.cuda.synchronize() t2=time.time() scaler.scale(loss).backward() torch.cuda.synchronize() t3=time.time() fw_times.append(t2-t1) bw_times.append(t3-t2) return average(fw_times),average(bw_times) def compute_loader_time(data_loader,warmup_iter,num_iter): times=[] data_loader_iter=iter(data_loader) for cur_iter in range(min(warmup_iter+num_iter,len(data_loader))): if cur_iter == warmup_iter: times.clear() t1=time.time() next(data_loader_iter) t2=time.time() times.append(t2-t1) return average(times) def memory_used(device): x=torch.cuda.memory_allocated(device) return round(x/1024/1024) def max_memory_used(device): x=torch.cuda.max_memory_allocated(device) return round(x/1024/1024) def memory_test_helper(model,device,train_crop_size,batch_size,num_classes,mixed_precision,loss_fun): if isinstance(train_crop_size,int): crop_h,crop_w=train_crop_size,train_crop_size else: crop_h,crop_w=train_crop_size model.train() torch.cuda.empty_cache() torch.cuda.reset_peak_memory_stats(device) scaler = amp.GradScaler(enabled=mixed_precision) x=torch.randn(batch_size, 3, crop_h,crop_w).to(device) target=torch.randint(0,num_classes,(batch_size,crop_h,crop_w)).to(device) t1=memory_used(device) with amp.autocast(enabled=mixed_precision): output = model(x) loss = loss_fun(output,target) scaler.scale(loss).backward() torch.cuda.synchronize() t2=max_memory_used(device) return t2-t1 def compute_memory_usage(model,device,crop_size,batch_size,num_classes,mixed_precision, loss_fun): for p in model.parameters(): p.grad=None try: t=memory_test_helper(model,device,crop_size,batch_size,num_classes,mixed_precision,loss_fun) t=memory_test_helper(model,device,crop_size,batch_size,num_classes,mixed_precision,loss_fun) except: t=-1 print("out of memory") for p in model.parameters(): p.grad=None return t def compute_time_no_loader(model,warmup_iter,num_iter,device,crop_size,val_input_size,batch_size,num_classes,mixed_precision,loss_fun): model=model.to(device) print("benchmarking eval time") eval_time=compute_eval_time(model,device,warmup_iter,num_iter,val_input_size,mixed_precision) print("benchmarking train time") train_fw_time,train_bw_time=compute_train_time(model,warmup_iter,num_iter,crop_size,batch_size,num_classes,mixed_precision,loss_fun) train_time=train_fw_time+train_bw_time print("benchmarking memory usage") memory_usage=compute_memory_usage(model,device,crop_size,batch_size,num_classes,mixed_precision,loss_fun) dic1={ "eval_time":eval_time, "train_time":train_time, "memory_usage":memory_usage } return dic1 def compute_time_full(model,data_loader,warmup_iter,num_iter,device,crop_size,val_input_size,batch_size,num_classes,mixed_precision,loss_fun): model=model.to(device) print("benchmarking eval time") eval_time=compute_eval_time(model,device,warmup_iter,num_iter,val_input_size,mixed_precision) print("benchmarking train time") train_fw_time,train_bw_time=compute_train_time(model,warmup_iter,num_iter,crop_size,batch_size,num_classes,mixed_precision,loss_fun) train_time=train_fw_time+train_bw_time print("benchmarking memory usage") memory_usage=compute_memory_usage(model,device,crop_size,batch_size,num_classes,mixed_precision,loss_fun) print("benchmarking loader time") loader_time=compute_loader_time(data_loader,warmup_iter,num_iter) loader_overhead=max(0,loader_time-train_time)/train_time dic1={ "eval_time":eval_time, "train_time":train_time, "memory_usage":memory_usage, "loader_time":loader_time, "loader_overhead":loader_overhead } dic2={ "eval_time":eval_time*len(data_loader), "train_time":train_time*len(data_loader), "memory_usage":memory_usage, "loader_time":loader_time, "loader_overhead":loader_overhead } return dic1 def benchmark_eval(models,x,mixed_precision): torch.backends.cudnn.benchmark=True device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') x=x.to(device) ts=[] for model in models: model=model.to(device) t=compute_eval_time2(model,x,10,100,mixed_precision) model.cpu() print(t) ts.append(t) return ts def benchmark_train(models,batch_size,crop_size,mixed_precision,num_classes=19): torch.backends.cudnn.benchmark=True device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') loss_fun=nn.CrossEntropyLoss(weight=None,ignore_index=255) ts=[] for model in models: model=model.to(device) fw,bw=compute_train_time(model,1,3,crop_size,batch_size,num_classes,mixed_precision,loss_fun) model.cpu() print(fw+bw) ts.append(fw+bw) return ts def benchmark_memory(models,batch_size,crop_size,mixed_precision,num_classes=19): torch.backends.cudnn.benchmark=True device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') loss_fun=nn.CrossEntropyLoss(ignore_index=255) for model in models: model=model.to(device) memory_usage=compute_memory_usage(model,device,crop_size,batch_size,num_classes,mixed_precision,loss_fun) print(memory_usage)

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home/kwatters/harry/gestures/fighter.py

rv8flyboy/pyrobotlab

4e04fb751614a5cb6044ea15dcfcf885db8be65a

[ "Apache-2.0" ]

63

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2022-03-29T03:52:24.000Z

home/kwatters/harry/gestures/fighter.py

hirwaHenryChristian/pyrobotlab

2debb381fc2db4be1e7ea6e5252a50ae0de6f4a9

[ "Apache-2.0" ]

16

2016-01-26T19:13:29.000Z

2018-11-25T21:20:51.000Z

home/kwatters/harry/gestures/fighter.py

hirwaHenryChristian/pyrobotlab

2debb381fc2db4be1e7ea6e5252a50ae0de6f4a9

[ "Apache-2.0" ]

151

2015-01-03T18:55:54.000Z

2022-03-04T07:04:23.000Z

def fighter(): i01.moveHead(160,87) i01.moveArm("left",31,75,152,10) i01.moveArm("right",3,94,33,16) i01.moveHand("left",161,151,133,127,107,83) i01.moveHand("right",99,130,152,154,145,180) i01.moveTorso(90,90,90)

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restgis/geoapi/models.py

davidkwast/geodjango-postgis-drf

13926cd9f0daa63eb1e1f4510c733894f1772969

[ "MIT" ]

null

restgis/geoapi/models.py

davidkwast/geodjango-postgis-drf

13926cd9f0daa63eb1e1f4510c733894f1772969

[ "MIT" ]

null

restgis/geoapi/models.py

davidkwast/geodjango-postgis-drf

13926cd9f0daa63eb1e1f4510c733894f1772969

[ "MIT" ]

null

from django.contrib.gis.db import models class Point(models.Model): name = models.CharField(max_length=100, unique=True) geometry = models.PointField() class Polygon(models.Model): name = models.CharField(max_length=100, unique=True) geometry = models.PolygonField()

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NonSvizzero/CAGED-finder

b52120ff6a08afd1efe70883f8ac2af4f1d46a04

[ "MIT" ]

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2019-09-26T20:15:22.000Z

2020-08-30T14:42:26.000Z

__main__.py

noplus/licksterr

b52120ff6a08afd1efe70883f8ac2af4f1d46a04

[ "MIT" ]

21

2018-10-21T12:39:46.000Z

2019-02-23T17:21:16.000Z

__main__.py

NonSvizzero/CAGED-finder

b52120ff6a08afd1efe70883f8ac2af4f1d46a04

[ "MIT" ]

null

from licksterr import run if __name__ == '__main__': run.main()

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Python

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/__init__.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

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2021-12-15T04:58:18.000Z

2022-02-06T12:15:37.000Z

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/__init__.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

null

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/__init__.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

1

2019-01-02T14:38:50.000Z

""" Celery needs to be loaded when the cms modules are so that task registration and discovery can work correctly. """ # We monkey patch Kombu's entrypoints listing because scanning through this # accounts for the majority of LMS/Studio startup time for tests, and we don't # use custom Kombu serializers (which is what this is for). Still, this is # pretty evil, and should be taken out when we update Celery to the next version # where it looks like this method of custom serialization has been removed. # # FWIW, this is identical behavior to what happens in Kombu if pkg_resources # isn't available. import kombu.utils kombu.utils.entrypoints = lambda namespace: iter([]) # This will make sure the app is always imported when Django starts so # that shared_task will use this app, and also ensures that the celery # singleton is always configured for the LMS. from .celery import APP as CELERY_APP # lint-amnesty, pylint: disable=wrong-import-position

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iati/using_data/migrations/__init__.py

andylolz/IATI-Standard-Website

b781b9fe6b6430f93826e530e9560183bf8fd310

[ "MIT" ]

4

2019-03-28T06:42:17.000Z

2021-06-06T13:10:51.000Z

iati/using_data/migrations/__init__.py

andylolz/IATI-Standard-Website

b781b9fe6b6430f93826e530e9560183bf8fd310

[ "MIT" ]

177

2018-09-28T14:21:56.000Z

2022-03-30T21:45:26.000Z

iati/using_data/migrations/__init__.py

andylolz/IATI-Standard-Website

b781b9fe6b6430f93826e530e9560183bf8fd310

[ "MIT" ]

8

2018-10-25T20:43:10.000Z

2022-03-17T14:19:27.000Z

"""Database migrations for the using_data app."""

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py

Python

scicademy/captcha/test.py

RegaledSeer/netsecnoobie

d3366937ec8c67a9742f61e47698239ae693af49

[ "MIT" ]

null

scicademy/captcha/test.py

RegaledSeer/netsecnoobie

d3366937ec8c67a9742f61e47698239ae693af49

[ "MIT" ]

null

scicademy/captcha/test.py

RegaledSeer/netsecnoobie

d3366937ec8c67a9742f61e47698239ae693af49

[ "MIT" ]

null

import requests import json web = "http://www.scicademy.org/addUser" myData = {"fnm":"firstName","lnm":"lastName","grd":"12","shl":"school","eml":"fuckme@fuck.com","pwd":"password1","dte":"08/14/2017","isSum":False,"referrer":"aram"} myHeaders = { "Host": "www.scicademy.org", "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:54.0) Gecko/20100101 Firefox/54.0", "Accept": "application/json, text/javascript, */*; q=0.01", "Accept-Language": "en-US,en;q=0.5", "Content-Type": "application/json", "X-Requested-With": "XMLHttpRequest", "Referer": "http://www.scicademy.org/","Content-Length": "156", "Cookie": "_ga=GA1.2.804063011.1502758976; _gid=GA1.2.987408565.1502758976; _gat=1", "Connection": "close"} #r = requests.post(web,data=json.dumps(myData)) #r = requests.post(web,data=json.dumps(myData),headers=myHeaders) print(len(str(myData).replace(" ","")) + 1)

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py

Python

gsrest/test/assertion.py

havardhuns/graphsense-REST

e2b2c851fc6fd7bba06de66a7abdb82cb76ad1d0

[ "MIT" ]

14

2017-11-25T18:27:14.000Z

2022-02-22T09:42:09.000Z

gsrest/test/assertion.py

havardhuns/graphsense-REST

e2b2c851fc6fd7bba06de66a7abdb82cb76ad1d0

[ "MIT" ]

64

2019-03-29T08:15:05.000Z

2022-02-24T10:28:34.000Z

gsrest/test/assertion.py

havardhuns/graphsense-REST

e2b2c851fc6fd7bba06de66a7abdb82cb76ad1d0

[ "MIT" ]

12

2018-10-20T22:29:29.000Z

2022-02-16T10:12:30.000Z

def assertEqual(a, b): assert a == b, "\nexpected:\n{}\ngot:\n{}".format(a, b)

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logpy/__init__.py

SebastiaanBij/log.py

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[ "MIT" ]

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logpy/__init__.py

SebastiaanBij/log.py

8d6c3ddcb9a2907bdaeed4869cb5b8e5d6e96252

[ "MIT" ]

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2022-01-19T14:50:53.000Z

2022-01-19T14:50:57.000Z

logpy/__init__.py

SebastiaanBij/log.py

8d6c3ddcb9a2907bdaeed4869cb5b8e5d6e96252

[ "MIT" ]

null

#!/usr/bin/env python3 # ||Documentation|| ######################################################################################################################## """ A basic logging library for Python with the capability to: - save to files. - have custom formats. - have custom levels. - be used instantiated. - be used non-instantiated. """ # ||Imports|| ######################################################################################################################## from .logger import Logger

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stanford_parser/__init__.py

asuiu/pyNLP

6438e47dbf8af1501d1fed1026897e7057e88850

[ "MIT" ]

2

2019-01-11T09:53:25.000Z

2021-12-04T23:45:20.000Z

stanford_parser/__init__.py

asuiu/pyNLP

6438e47dbf8af1501d1fed1026897e7057e88850

[ "MIT" ]

null

stanford_parser/__init__.py

asuiu/pyNLP

6438e47dbf8af1501d1fed1026897e7057e88850

[ "MIT" ]

1

2017-05-04T14:15:49.000Z

#!/usr/bin/env python # coding:utf-8 # Author: ASU --<andrei.suiu@gmail.com>

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home-assistant/custom_components/ai_thermostat/__init__.py

denysdovhan/smart-home

2f9e6f11d889acc461dcdb9ab723445d63e53da3

[ "MIT" ]

128

2021-03-04T21:54:04.000Z

2022-03-17T22:53:20.000Z

home-assistant/custom_components/ai_thermostat/__init__.py

denysdovhan/home-assistant-config

2f9e6f11d889acc461dcdb9ab723445d63e53da3

[ "MIT" ]

4

2021-03-07T21:18:12.000Z

2021-09-24T13:09:39.000Z

home-assistant/custom_components/ai_thermostat/__init__.py

denysdovhan/smart-home

2f9e6f11d889acc461dcdb9ab723445d63e53da3

[ "MIT" ]

15

2021-03-05T07:29:31.000Z

2022-03-31T10:07:06.000Z

"""The ai_thermostat component.""" from homeassistant.const import Platform DOMAIN = "ai_thermostat" PLATFORMS = [Platform.CLIMATE]

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daddfc6d24d4d6dc75a051ec30651be88e5a49b8

77

py

Python

src/tools/libraryInfo/libraryImageOnLoad.py

t3kt/raytk

e0e2b3643b2f536d597c5db64f02d17f7e8f23ac

[ "CC-BY-4.0" ]

108

2020-11-23T01:22:37.000Z

2022-03-29T09:27:32.000Z

src/tools/libraryInfo/libraryImageOnLoad.py

t3kt/raytk

e0e2b3643b2f536d597c5db64f02d17f7e8f23ac

[ "CC-BY-4.0" ]

794

2020-11-21T22:27:37.000Z

2022-03-24T06:41:19.000Z

src/tools/libraryInfo/libraryImageOnLoad.py

t3kt/raytk

e0e2b3643b2f536d597c5db64f02d17f7e8f23ac

[ "CC-BY-4.0" ]

3

2021-06-19T00:57:54.000Z

2021-11-01T11:55:07.000Z

def onStart(): parent().par.Showshortcut = True def onCreate(): onStart()

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daee89837477b55a6b8257d6304e2aa61bd1d269

289

py

Python

lib/celcius/unix/operations/pipe.py

claymcleod/celcius

e46a3c1ba112af9de23360d1455ab1e037a38ea1

[ "MIT" ]

4

2016-01-15T22:34:24.000Z

2016-06-02T06:38:47.000Z

lib/celcius/unix/operations/pipe.py

claymcleod/celcius

e46a3c1ba112af9de23360d1455ab1e037a38ea1

[ "MIT" ]

null

lib/celcius/unix/operations/pipe.py

claymcleod/celcius

e46a3c1ba112af9de23360d1455ab1e037a38ea1

[ "MIT" ]

null

def pipe_commands(commands): """Pipe commands together""" return ' | '.join(commands) def build_and_pipe_commands(commands): """Command to build then pipe commands together""" built_commands = [x.build_command() for x in commands] return pipe_commands(built_commands)

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py

Python

gym_wmgds/envs/box2d/__init__.py

ozcell/gym_wmgds_ma

c2cb22943913361947216b908d50decc46616e99

[ "Python-2.0", "OLDAP-2.7" ]

1

2020-12-23T16:38:15.000Z

gym_wmgds/envs/box2d/__init__.py

ozcell/gym_wmgds_ma

c2cb22943913361947216b908d50decc46616e99

[ "Python-2.0", "OLDAP-2.7" ]

null

gym_wmgds/envs/box2d/__init__.py

ozcell/gym_wmgds_ma

c2cb22943913361947216b908d50decc46616e99

[ "Python-2.0", "OLDAP-2.7" ]

null

try: import Box2D from gym_wmgds.envs.box2d.lunar_lander import LunarLander from gym_wmgds.envs.box2d.lunar_lander import LunarLanderContinuous from gym_wmgds.envs.box2d.bipedal_walker import BipedalWalker, BipedalWalkerHardcore from gym_wmgds.envs.box2d.car_racing import CarRacing except ImportError: Box2D = None

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py

Python

python/vae_models.py

cdaube/sharedFunctionalFeatures

3b7e8b17973a7fef195626a34bed54517cfd3915

[ "MIT" ]

1

2021-11-18T18:13:39.000Z

python/vae_models.py

cdaube/sharedFunctionalFeatures

3b7e8b17973a7fef195626a34bed54517cfd3915

[ "MIT" ]

null

python/vae_models.py

cdaube/sharedFunctionalFeatures

3b7e8b17973a7fef195626a34bed54517cfd3915

[ "MIT" ]

null

''' models.py contains models for use with the BVAE experiments. created by shadySource, ResNet10 encoder based on architecture by Tian Xu added by cdaube, decoder doesn't yet work THE UNLICENSE ''' import tensorflow as tf from keras.layers import (Input, InputLayer, Conv2D, Conv2DTranspose, BatchNormalization, LeakyReLU, MaxPool2D, UpSampling2D, Flatten, Reshape, GlobalAveragePooling2D, AveragePooling2D, ZeroPadding2D, ReLU, Dense) from keras.models import Model from model_utils import ConvBnLRelu, ConvBnRelu, convBasicBlock, basicblock, convBottleneck, bottleneck from sample_layer import SampleLayer import keras import numpy as np class Architecture(object): ''' generic architecture template ''' def __init__(self, inputShape=None, batchSize=None, latentSize=None): ''' params: --------- inputShape : tuple the shape of the input, expecting 3-dim images (h, w, 3) batchSize : int the number of samples in a batch latentSize : int the number of dimensions in the two output distribution vectors - mean and std-deviation latentSize : Bool or None True forces resampling, False forces no resampling, None chooses based on K.learning_phase() ''' self.inputShape = inputShape self.batchSize = batchSize self.latentSize = latentSize self.model = self.Build() def Build(self): raise NotImplementedError('architecture must implement Build function') class ResNet10DetEncoder(Architecture): ''' deterministic encoder Encoder adapted from Tian Xu by Christoph Daube ''' def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=512, training=None): self.training = training super().__init__(inputShape, batchSize, latentSize) def Build(self): imgInput = Input(self.inputShape, self.batchSize) x = ZeroPadding2D(3)(imgInput) x = Conv2D(64, 7, strides=(2, 2), name='conv1')(x) x = BatchNormalization(name='bn_conv1')(x) x = ReLU()(x) x = MaxPool2D(3, strides=(2, 2))(x) x = convBasicBlock(64, 3, stage=2, block='a', strides=(1, 1))(x) x = convBasicBlock(128, 3, stage=3, block='a')(x) x = convBasicBlock(256, 3, stage=4, block='a')(x) x = convBasicBlock(512, 3, stage=5, block='a')(x) x = AveragePooling2D((7, 7), name='avg_pool')(x) x = Flatten()(x) return Model(inputs=imgInput, outputs=x) class ResNet10Encoder(Architecture): ''' This encoder predicts distributions then randomly samples them. Encoder adapted from Tian Xu by Christoph Daube ''' def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=512, latentConstraints='bvae', beta=100, training=None): ''' params ------- latentConstraints : str Either 'bvae', 'vae', or 'no' Determines whether regularization is applied to the latent space representation. beta : float beta > 1, used for 'bvae' latent_regularizer (Unused if 'bvae' not selected, default 100) ''' self.latentConstraints = latentConstraints self.beta = beta self.training = training super().__init__(inputShape, batchSize, latentSize) def Build(self): imgInput = Input(self.inputShape, self.batchSize) x = ZeroPadding2D(3)(imgInput) x = Conv2D(64, 7, strides=(2, 2), name='conv1')(x) x = BatchNormalization(name='bn_conv1')(x) x = ReLU()(x) x = MaxPool2D(3, strides=(2, 2))(x) x = convBasicBlock(64, 3, stage=2, block='a', strides=(1, 1))(x) x = convBasicBlock(128, 3, stage=3, block='a')(x) x = convBasicBlock(256, 3, stage=4, block='a')(x) x = convBasicBlock(512, 3, stage=5, block='a')(x) # variational encoder output (distributions) mean = Conv2D(filters=self.latentSize, kernel_size=(1, 1),padding='same')(x) mean = GlobalAveragePooling2D()(mean) logvar = Conv2D(filters=self.latentSize, kernel_size=(1, 1),padding='same')(x) logvar = GlobalAveragePooling2D()(logvar) sample = SampleLayer(self.latentConstraints, self.beta)([mean, logvar], training=self.training) return Model(inputs=imgInput, outputs=sample) class ResNet34DetEncoder(Architecture): ''' This encoder predicts distributions then randomly samples them. Encoder adapted from Tian Xu by Christoph Daube ''' def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=512, training=None): ''' params ------- latentConstraints : str Either 'bvae', 'vae', or 'no' Determines whether regularization is applied to the latent space representation. beta : float beta > 1, used for 'bvae' latent_regularizer (Unused if 'bvae' not selected, default 100) ''' self.training = training super().__init__(inputShape, batchSize, latentSize) def Build(self): imgInput = Input(self.inputShape, self.batchSize) x = ZeroPadding2D(3)(imgInput) x = Conv2D(64, 7, strides=(2, 2), name='conv1')(x) x = BatchNormalization(name='bn_conv1')(x) x = ReLU()(x) x = MaxPool2D(3, strides=(2, 2))(x) x = convBasicBlock(64, 3, stage=2, block='a', strides=(1, 1))(x) x = basicblock(64, 3, stage=2, block='b')(x) x = basicblock(64, 3, stage=2, block='c')(x) x = convBasicBlock(128, 3, stage=3, block='a')(x) x = basicblock(128, 3, stage=3, block='b')(x) x = basicblock(128, 3, stage=3, block='c')(x) x = basicblock(128, 3, stage=3, block='d')(x) x = convBasicBlock(256, 3, stage=4, block='a')(x) x = basicblock(256, 3, stage=4, block='b')(x) x = basicblock(256, 3, stage=4, block='c')(x) x = basicblock(256, 3, stage=4, block='d')(x) x = basicblock(256, 3, stage=4, block='e')(x) x = basicblock(256, 3, stage=4, block='f')(x) x = convBasicBlock(512, 3, stage=5, block='a')(x) x = basicblock(512, 3, stage=5, block='b')(x) x = basicblock(512, 3, stage=5, block='c')(x) x = AveragePooling2D((7, 7), name='avg_pool')(x) x = Flatten()(x) return Model(inputs=imgInput, outputs=x) class ResNet34Encoder(Architecture): ''' This encoder predicts distributions then randomly samples them. Encoder adapted from Tian Xu by Christoph Daube ''' def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=512, latentConstraints='bvae', beta=100, training=None): ''' params ------- latentConstraints : str Either 'bvae', 'vae', or 'no' Determines whether regularization is applied to the latent space representation. beta : float beta > 1, used for 'bvae' latent_regularizer (Unused if 'bvae' not selected, default 100) ''' self.latentConstraints = latentConstraints self.beta = beta self.training = training super().__init__(inputShape, batchSize, latentSize) def Build(self): imgInput = Input(self.inputShape, self.batchSize) x = ZeroPadding2D(3)(imgInput) x = Conv2D(64, 7, strides=(2, 2), name='conv1')(x) x = BatchNormalization(name='bn_conv1')(x) x = ReLU()(x) x = MaxPool2D(3, strides=(2, 2))(x) x = convBasicBlock(64, 3, stage=2, block='a', strides=(1, 1))(x) x = basicblock(64, 3, stage=2, block='b')(x) x = basicblock(64, 3, stage=2, block='c')(x) x = convBasicBlock(128, 3, stage=3, block='a')(x) x = basicblock(128, 3, stage=3, block='b')(x) x = basicblock(128, 3, stage=3, block='c')(x) x = basicblock(128, 3, stage=3, block='d')(x) x = convBasicBlock(256, 3, stage=4, block='a')(x) x = basicblock(256, 3, stage=4, block='b')(x) x = basicblock(256, 3, stage=4, block='c')(x) x = basicblock(256, 3, stage=4, block='d')(x) x = basicblock(256, 3, stage=4, block='e')(x) x = basicblock(256, 3, stage=4, block='f')(x) x = convBasicBlock(512, 3, stage=5, block='a')(x) x = basicblock(512, 3, stage=5, block='b')(x) x = basicblock(512, 3, stage=5, block='c')(x) # variational encoder output (distributions) mean = Conv2D(filters=self.latentSize, kernel_size=(1, 1),padding='same')(x) mean = GlobalAveragePooling2D()(mean) logvar = Conv2D(filters=self.latentSize, kernel_size=(1, 1),padding='same')(x) logvar = GlobalAveragePooling2D()(logvar) sample = SampleLayer(self.latentConstraints, self.beta)([mean, logvar], training=self.training) return Model(inputs=imgInput, outputs=sample) class ResNet50Encoder(Architecture): ''' This encoder predicts distributions then randomly samples them. Encoder adapted from Tian Xu by Christoph Daube ''' def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=512, latentConstraints='bvae', beta=100, training=None): ''' params ------- latentConstraints : str Either 'bvae', 'vae', or 'no' Determines whether regularization is applied to the latent space representation. beta : float beta > 1, used for 'bvae' latent_regularizer (Unused if 'bvae' not selected, default 100) ''' self.latentConstraints = latentConstraints self.beta = beta self.training = training super().__init__(inputShape, batchSize, latentSize) def Build(self): imgInput = Input(self.inputShape, self.batchSize) x = ZeroPadding2D(3)(imgInput) x = Conv2D(64, 7, strides=(2, 2), name='conv1')(x) x = BatchNormalization(name='bn_conv1')(x) x = ReLU()(x) x = MaxPool2D(3, strides=(2, 2))(x) x = convBottleneck(64, 3, stage=2, block='a', strides=(1, 1))(x) x = bottleneck(64, 3, stage=2, block='b')(x) x = bottleneck(64, 3, stage=2, block='c')(x) x = convBottleneck(128, 3, stage=3, block='a')(x) x = bottleneck(128, 3, stage=3, block='b')(x) x = bottleneck(128, 3, stage=3, block='c')(x) x = bottleneck(128, 3, stage=3, block='d')(x) x = convBottleneck(256, 3, stage=4, block='a')(x) x = bottleneck(256, 3, stage=4, block='b')(x) x = bottleneck(256, 3, stage=4, block='c')(x) x = bottleneck(256, 3, stage=4, block='d')(x) x = bottleneck(256, 3, stage=4, block='e')(x) x = bottleneck(256, 3, stage=4, block='f')(x) x = convBottleneck(512, 3, stage=5, block='a')(x) x = bottleneck(512, 3, stage=5, block='b')(x) x = bottleneck(512, 3, stage=5, block='c')(x) # variational encoder output (distributions) mean = Conv2D(filters=self.latentSize, kernel_size=(1, 1),padding='same')(x) mean = GlobalAveragePooling2D()(mean) logvar = Conv2D(filters=self.latentSize, kernel_size=(1, 1),padding='same')(x) logvar = GlobalAveragePooling2D()(logvar) sample = SampleLayer(self.latentConstraints, self.beta)([mean, logvar], training=self.training) return Model(inputs=imgInput, outputs=sample) class Darknet19Encoder(Architecture): ''' This encoder predicts distributions then randomly samples them. Regularization may be applied to the latent space output a simple, fully convolutional architecture inspried by pjreddie's darknet architecture https://github.com/pjreddie/darknet/blob/master/cfg/darknet19.cfg ''' def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=1000, latentConstraints='bvae', beta=100., training=None): ''' params ------- latentConstraints : str Either 'bvae', 'vae', or 'no' Determines whether regularization is applied to the latent space representation. beta : float beta > 1, used for 'bvae' latent_regularizer (Unused if 'bvae' not selected, default 100) ''' self.latentConstraints = latentConstraints self.beta = beta self.training = training super().__init__(inputShape, batchSize, latentSize) def Build(self): # create the input layer for feeding the netowrk inLayer = Input(self.inputShape, self.batchSize) net = ConvBnLRelu(32, kernelSize=3)(inLayer, training=self.training) # 1 net = MaxPool2D((2, 2), strides=(2, 2))(net) net = ConvBnLRelu(64, kernelSize=3)(net, training=self.training) # 2 net = MaxPool2D((2, 2), strides=(2, 2))(net) net = ConvBnLRelu(128, kernelSize=3)(net, training=self.training) # 3 net = ConvBnLRelu(64, kernelSize=1)(net, training=self.training) # 4 net = ConvBnLRelu(128, kernelSize=3)(net, training=self.training) # 5 net = MaxPool2D((2, 2), strides=(2, 2))(net) net = ConvBnLRelu(256, kernelSize=3)(net, training=self.training) # 6 net = ConvBnLRelu(128, kernelSize=1)(net, training=self.training) # 7 net = ConvBnLRelu(256, kernelSize=3)(net, training=self.training) # 8 net = MaxPool2D((2, 2), strides=(2, 2))(net) net = ConvBnLRelu(512, kernelSize=3)(net, training=self.training) # 9 net = ConvBnLRelu(256, kernelSize=1)(net, training=self.training) # 10 net = ConvBnLRelu(512, kernelSize=3)(net, training=self.training) # 11 net = ConvBnLRelu(256, kernelSize=1)(net, training=self.training) # 12 net = ConvBnLRelu(512, kernelSize=3)(net, training=self.training) # 13 net = MaxPool2D((2, 2), strides=(2, 2))(net) net = ConvBnLRelu(1024, kernelSize=3)(net, training=self.training) # 14 net = ConvBnLRelu(512, kernelSize=1)(net, training=self.training) # 15 net = ConvBnLRelu(1024, kernelSize=3)(net, training=self.training) # 16 net = ConvBnLRelu(512, kernelSize=1)(net, training=self.training) # 17 net = ConvBnLRelu(1024, kernelSize=3)(net, training=self.training) # 18 # variational encoder output (distributions) mean = Conv2D(filters=self.latentSize, kernel_size=(1, 1), padding='same')(net) mean = GlobalAveragePooling2D()(mean) logvar = Conv2D(filters=self.latentSize, kernel_size=(1, 1), padding='same')(net) logvar = GlobalAveragePooling2D()(logvar) sample = SampleLayer(self.latentConstraints, self.beta)([mean, logvar], training=self.training) return Model(inputs=inLayer, outputs=sample) class Darknet19Decoder(Architecture): def __init__(self, inputShape=(224, 224, 3), batchSize=None, latentSize=1000, training=None): self.training=training super().__init__(inputShape, batchSize, latentSize) def Build(self): # input layer is from GlobalAveragePooling: inLayer = Input([self.latentSize], self.batchSize) # reexpand the input from flat: net = Reshape((1, 1, self.latentSize))(inLayer) # darknet downscales input by a factor of 32, so we upsample to the second to last output shape: net = UpSampling2D((self.inputShape[0]//32, self.inputShape[1]//32))(net) # TODO try inverting num filter arangement (e.g. 512, 1204, 512, 1024, 512) # and also try (1, 3, 1, 3, 1) for the filter shape net = ConvBnLRelu(1024, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(512, kernelSize=1)(net, training=self.training) net = ConvBnLRelu(1024, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(512, kernelSize=1)(net, training=self.training) net = ConvBnLRelu(1024, kernelSize=3)(net, training=self.training) net = UpSampling2D((2, 2))(net) net = ConvBnLRelu(512, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(256, kernelSize=1)(net, training=self.training) net = ConvBnLRelu(512, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(256, kernelSize=1)(net, training=self.training) net = ConvBnLRelu(512, kernelSize=3)(net, training=self.training) net = UpSampling2D((2, 2))(net) net = ConvBnLRelu(256, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(128, kernelSize=1)(net, training=self.training) net = ConvBnLRelu(256, kernelSize=3)(net, training=self.training) net = UpSampling2D((2, 2))(net) net = ConvBnLRelu(128, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(64, kernelSize=1)(net, training=self.training) net = ConvBnLRelu(128, kernelSize=3)(net, training=self.training) net = UpSampling2D((2, 2))(net) net = ConvBnLRelu(64, kernelSize=3)(net, training=self.training) net = UpSampling2D((2, 2))(net) net = ConvBnLRelu(32, kernelSize=3)(net, training=self.training) net = ConvBnLRelu(64, kernelSize=1)(net, training=self.training) # net = ConvBnLRelu(3, kernelSize=1)(net, training=self.training) net = Conv2D(filters=self.inputShape[-1], kernel_size=(1, 1), padding='same', activation="tanh")(net) return Model(inLayer, net) class AutoEncoder(object): def __init__(self, encoderArchitecture, decoderArchitecture): self.encoder = encoderArchitecture.model self.decoder = decoderArchitecture.model self.ae = Model(self.encoder.inputs, self.decoder(self.encoder.outputs)) def joinGens(gen1, gen2): while True: x = gen1.next() y = gen2.next() yield x, y # build and compile the autoencoder def classifierOnVAE(depth,classes,fcActFunc='softmax',latentSize=512, inputShape=(224, 224, 3),beta=1,projDir='/analyse/Project0257/'): encoder = ResNet10Encoder(inputShape, latentSize=latentSize, latentConstraints='bvae', beta=beta) decoder = Darknet19Decoder(inputShape, latentSize=latentSize) bvae = AutoEncoder(encoder, decoder) bvae.ae.compile(optimizer='adam', loss='mean_absolute_error') # load vae weights bvae.ae.load_weights(projDir+'aeModels/1stGen/001530SimStructk1ColleaguesRN10DN19beta1.h5') # these weights definitely work # -- tested in evaluate_bvae_sandbox (if random weights loaded, reconstruction returns black image, # if these weights loaded, reconstruction works nicely) # also these weights are definitively loaded in the model, since they always return -0.2973289 tmp[0][0][0][0][0] # when tmp is model.layers[6].get_weights(); instead of model, there can be bvae.ae or bvae.encoder -- all the same # create Dense layer to classify ID from stochastic layer if depth==0: fcID = Dense(classes[0], activation=fcActFunc, name='fcID')(bvae.encoder.layers[-1].output) # combine vae input and classifier to model model = Model(bvae.ae.input,fcID) # freeze layers for layer in model.layers[:-1]: layer.trainable = False elif depth==2: x = Dense(512, activation='relu', name='finDense1')(bvae.encoder.layers[-1].output) x = BatchNormalization(axis=1, name='bn_dense_1')(x) x = Dense(512, activation='relu', name='finDense2')(x) x = BatchNormalization(axis=1, name='bn_dense_2')(x) fcID = Dense(classes[0], activation=fcActFunc, name='fcID')(x) # combine vae input and classifier to model model = Model(bvae.ae.input,fcID) # freeze layers for layer in model.layers[:-5]: layer.trainable = False # check if freezing worked for layer in model.layers: print(layer, layer.trainable) return model def test(): r10e = ResNet10Encoder() r10e.model.summary() r10d = Darknet19Decoder() r10d.model.summary() if __name__ == '__main__': test()

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974e38de8ef2f6c101ed76e5adf49e17fded9426

436

py

Python

angular_flask/views.py

saqib-nadeem/sample_python_scripts

35054816b262a3860ab9db383ab5d9e11ac0ce87

[ "MIT" ]

null

angular_flask/views.py

saqib-nadeem/sample_python_scripts

35054816b262a3860ab9db383ab5d9e11ac0ce87

[ "MIT" ]

null

angular_flask/views.py

saqib-nadeem/sample_python_scripts

35054816b262a3860ab9db383ab5d9e11ac0ce87

[ "MIT" ]

null

import os from passlib.apps import custom_app_context as pwd_context from itsdangerous import (TimedJSONWebSignatureSerializer as Serializer, BadSignature, SignatureExpired) from flask import Flask, abort, request, jsonify, g, url_for from flask.ext.httpauth import HTTPBasicAuth from flask.ext.httpauth import HTTPBasicAuth from angular_flask import app from angular_flask.common.util import error_response

36.333333

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976f79796f858973336cf7bf7fdec35113ee2f20

42

py

Python

src/__init__.py

martinheterjag/kanzchip-8

705dad8c5bdb4a6b855d26d7cfb783de62226f47

[ "MIT" ]

null

src/__init__.py

martinheterjag/kanzchip-8

705dad8c5bdb4a6b855d26d7cfb783de62226f47

[ "MIT" ]

1

2021-03-02T23:13:11.000Z

src/__init__.py

martinheterjag/kanzchip-8

705dad8c5bdb4a6b855d26d7cfb783de62226f47

[ "MIT" ]

null

__version__ = '1.0.0' __license__ = 'MIT'

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977d6c93c8e2a07e8d0a5100797ce76496e3de0c

212

py

Python

DQM/Integration/python/config/FrontierCondition_GT_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DQM/Integration/python/config/FrontierCondition_GT_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DQM/Integration/python/config/FrontierCondition_GT_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from Configuration.StandardSequences.FrontierConditions_GlobalTag_cff import * from Configuration.AlCa.autoCond import autoCond GlobalTag.globaltag = autoCond['run3_hlt']

42.4

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9785677537060010fede3210aa9a0bcf24d42195

119

py

Python

tests/tensorflow/sparsity/rb/utils.py

MaximProshin/nncf

2290d2f4cebcf6749e419dc76850e7bd8b7d8da1

[ "Apache-2.0" ]

310

2020-10-29T09:22:42.000Z

2022-03-31T04:53:34.000Z

tests/tensorflow/sparsity/rb/utils.py

MaximProshin/nncf

2290d2f4cebcf6749e419dc76850e7bd8b7d8da1

[ "Apache-2.0" ]

615

2020-10-28T10:22:25.000Z

2022-03-29T18:09:23.000Z

tests/tensorflow/sparsity/rb/utils.py

MaximProshin/nncf

2290d2f4cebcf6749e419dc76850e7bd8b7d8da1

[ "Apache-2.0" ]

86

2020-10-28T11:34:34.000Z

2022-03-31T08:00:35.000Z

import tensorflow as tf from nncf.tensorflow.functions import logit default_rb_mask_value = logit(tf.ones(1) * 0.99)

19.833333

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4.55

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119

5

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null

0

1

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1

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4

9799e1fb2e784e2b9000fbd40cf0c01dea101f13

171

py

Python

src/hello/hello.py

drbartling/python_lib_template

ef7db9d237a68cc67e06b1ef137a26998be38dad

[ "MIT" ]

null

src/hello/hello.py

drbartling/python_lib_template

ef7db9d237a68cc67e06b1ef137a26998be38dad

[ "MIT" ]

null

src/hello/hello.py

drbartling/python_lib_template

ef7db9d237a68cc67e06b1ef137a26998be38dad

[ "MIT" ]

null

def make_greeting(name, formality): return ( "Greetings and felicitations, {}!".format(name) if formality else "Hello, {}!".format(name) )

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0.166667

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0

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null

1

0

1

0

null

0

1

0

4

c1385ebaefeaeaf478e2b910ddb638382c9b1ce5

96

py

Python

script.py

ErvalhouS/CplusplusProjects

707964990c8c7d4327df1bdb2ab322f4c5b19e83

[ "MIT" ]

null

script.py

ErvalhouS/CplusplusProjects

707964990c8c7d4327df1bdb2ab322f4c5b19e83

[ "MIT" ]

null

script.py

ErvalhouS/CplusplusProjects

707964990c8c7d4327df1bdb2ab322f4c5b19e83

[ "MIT" ]

null

from RockStar import RockStar rock_it_bro = RockStar(days=300) rock_it_bro.make_me_a_rockstar()

24

32

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96

4.352941

0.647059

0.162162

0.243243

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0.034091

0.083333

96

4

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0.806818

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1

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1

0

null

0

1

0

4

c142d74479bcef6efc86e980d77f0b5169412fce

11,922

py

Python

oscInstructionSet.py

dmitrol205/oscDebugger

fe15c33feade6c5fd2f32eae724140bd1808c29a

[ "MIT" ]

null

oscInstructionSet.py

dmitrol205/oscDebugger

fe15c33feade6c5fd2f32eae724140bd1808c29a

[ "MIT" ]

null

oscInstructionSet.py

dmitrol205/oscDebugger

fe15c33feade6c5fd2f32eae724140bd1808c29a

[ "MIT" ]

null

import math from oscSystemMacros import SystemMacros from oscInstruction import Instruction from random import randint import oscExecutor class __InstructionSet(type): def __getitem__(cls,inst:Instruction): #print('get f'+str(inst.id),inst.reverse) if inst.id<100: return getattr(InstructionSet,'f'+str(inst.id)) else: if inst.id<108:#load from register return getattr(InstructionSet,'f100') elif inst.id<116:#store to register return getattr(InstructionSet,'f101') class InstructionSet(object,metaclass=__InstructionSet): def f2(self:"oscExecutor.Executor"): self.string_stack.push(self.ip.value) self.next() def f7(self:"oscExecutor.Executor"): if self.float_stack.peek()==float(0): self.ip=self.ip.ifelse else: self.next() ''''def f8(self:"oscExecutor.Executor"): self.next() def f9(self:"oscExecutor.Executor"): self.next()''' def f10(self:"oscExecutor.Executor"): if self.float_stack.pop()==float(0) or self.float_stack.pop()==float(0): self.float_stack.push(float(0)) else: self.float_stack.push(float(1)) self.next() def f11(self:"oscExecutor.Executor"): if self.float_stack.pop()==float(0) and self.float_stack.pop()==float(0): self.float_stack.push(float(0)) else: self.float_stack.push(float(1)) self.next() def f12(self:"oscExecutor.Executor"): if self.float_stack.pop()==float(0): self.float_stack.push(float(1)) else: self.float_stack.push(float(0)) self.next() def f13(self:"oscExecutor.Executor"): self.float_stack.push(self.float_stack.pop()+self.float_stack.pop()) self.next() def f14(self:"oscExecutor.Executor"): _=self.float_stack.pop() self.float_stack.push(self.float_stack.pop()-_) self.next() def f15(self:"oscExecutor.Executor"): self.float_stack.push(self.float_stack.pop()*self.float_stack.pop()) self.next() def f16(self:"oscExecutor.Executor"): _=self.float_stack.pop() if _==float(0): self.float_stack.pop() self.float_stack.push(float(0)) else: self.float_stack.push(self.float_stack.pop()/_) self.next() def f17(self:"oscExecutor.Executor"): _=self.float_stack.pop() if _==0.0: self.float_stack.pop() self.float_stack.push(float(0)) else: self.float_stack.push(self.float_stack.pop()%_) self.next() def f18(self:"oscExecutor.Executor"): self.float_stack.push(-self.float_stack.pop()) self.next() def f19(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.float_stack.pop()==self.float_stack.pop() else float(0)) self.next() def f20(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.float_stack.pop()<self.float_stack.pop() else float(0)) self.next() def f21(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.float_stack.pop()>self.float_stack.pop() else float(0)) self.next() def f22(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.float_stack.pop()<=self.float_stack.pop() else float(0)) self.next() def f23(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.float_stack.pop()>=self.float_stack.pop() else float(0)) self.next() def f24(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.string_stack.pop()==self.string_stack.pop() else float(0)) self.next() def f25(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.string_stack.pop()<self.string_stack.pop() else float(0)) self.next() def f26(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.string_stack.pop()>self.string_stack.pop() else float(0)) self.next() def f27(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.string_stack.pop()<=self.string_stack.pop() else float(0)) self.next() def f28(self:"oscExecutor.Executor"): self.float_stack.push(float(1) if self.string_stack.pop()>=self.string_stack.pop() else float(0)) self.next() def f29(self:"oscExecutor.Executor"): self.float_stack.push(math.sin(self.float_stack.pop())) self.next() def f30(self:"oscExecutor.Executor"): self.float_stack.push(math.asin(self.float_stack.pop())) self.next() def f31(self:"oscExecutor.Executor"): self.float_stack.push(math.atan(self.float_stack.pop())) self.next() def f32(self:"oscExecutor.Executor"): self.float_stack.push(min(self.float_stack.pop(),self.float_stack.pop())) self.next() def f33(self:"oscExecutor.Executor"): self.float_stack.push(max(self.float_stack.pop(),self.float_stack.pop())) self.next() def f34(self:"oscExecutor.Executor"): self.float_stack.push(math.exp(self.float_stack.pop())) self.next() def f35(self:"oscExecutor.Executor"): self.float_stack.push(math.sqrt(self.float_stack.pop())) self.next() def f36(self:"oscExecutor.Executor"): self.float_stack.push(self.float_stack.pop()**2) self.next() def f37(self:"oscExecutor.Executor"): _=self.float_stack.pop() _=1. if _>0 else float(-1) if _<0 else float(0) self.float_stack.push(_) self.next() def f38(self:"oscExecutor.Executor"): self.float_stack.push(math.pi) self.next() def f39(self:"oscExecutor.Executor"): _=int(self.float_stack.pop())-1 _=float(0) if _<0 else float(randint(0,_)) self.float_stack.push(_) self.next() def f40(self:"oscExecutor.Executor"): self.float_stack.push(math.fabs(self.float_stack.pop())) self.next() def f41(self:"oscExecutor.Executor"): self.float_stack.push(math.trunc(self.float_stack.pop())) self.next() def f42(self:"oscExecutor.Executor"): _=self.string_stack.pop() self.string_stack.push(self.string_stack.pop()+_) self.next() def f43(self:"oscExecutor.Executor"): _=self.string_stack.pop() _1=self.float_stack.pop() _2=_ while len(_2)<_1: _2+=_ self.string_stack.push(_2[:_1]) self.next() def f44(self:"oscExecutor.Executor"): self.float_stack.push(len(self.string_stack.peek())) self.next() def f45(self:"oscExecutor.Executor"): self.string_stack.push(self.string_stack.pop()[int(self.float_stack.pop()):]) self.next() def f46(self:"oscExecutor.Executor"): self.string_stack.push(self.string_stack.pop()[:-int(self.float_stack.pop())]) self.next() def f47(self:"oscExecutor.Executor"): _=int(self.float_stack.peek()) _1=self.string_stack.pop() if len(_1)>_: _1=_1[-_:] else: _2="{:>"+str(_)+"s}" _1=f"{_1:>{_}s}" self.string_stack.push(_1) self.next() def f48(self:"oscExecutor.Executor"): _=int(self.float_stack.peek()) _1=self.string_stack.pop() if len(_1)>_: _2=(len(_1)-_)/2 _1=_1[math.floor(_2):-math.ceil(_2)] else: _1=f"{_1:^{_}s}" self.string_stack.push(_1) self.next() def f49(self:"oscExecutor.Executor"): _=int(self.float_stack.peek()) _1=self.string_stack.pop() if len(_1)>_: _1=_1[:_] else: _1=f"{_1:<{_}s}" self.string_stack.push(_1) self.next() def f50(self:"oscExecutor.Executor"): self.string_stack.push(str(int(self.float_stack.pop()))) self.next() def f51(self:"oscExecutor.Executor"): _=self.string_stack.pop() _1=str(int(self.float_stack.pop())) try: _2=int(_[1:]) except ValueError: self.string_stack.push(_) self.next() return if len(_1)>_2: _1=f"{_1[:_2-1]}#" else: _1=f"{_1:{_[0]}>{_2}}" self.string_stack.push(_1) self.next() def f52(self:"oscExecutor.Executor"): try: _=float(self.string_stack.pop()) except ValueError: _=float(-1) self.float_stack.push(_) self.next() def f53(self:"oscExecutor.Executor"): self.string_stack.push(self.string_stack.pop().strip()) self.next() def f54(self:"oscExecutor.Executor"): self.float_stack.push(self.float_stack.peek()) self.next() def f55(self:"oscExecutor.Executor"): self.string_stack.push(self.string_stack.peek()) self.next() def f56(self:"oscExecutor.Executor"): self.debugOutput(self.string_stack.peek(),'$msg') self.next() def f57(self:"oscExecutor.Executor"): self.debugOutput("Information: Stack Dump") self.debugOutput("") for i in range(8): self.debugOutput(f"Stack Nr.{i}: {self.float_stack[i]:f}") self.next() def f88(self:"oscExecutor.Executor"): try: self.program.macros[self.ip.value] except KeyError: print('no such macro',self.ip.value) self.error={'ip':self.ip,'calls':self.ipstack} self.isalive=False self.ipstack=[] self.ip=False return self.ipstack.append([self.ip.next,self.codeType,self.codeName]) for _ in self.execute('macro',self.ip.value): _:'Instruction' yield _ try: self.ip,self.codeType,self.codeName=self.ipstack.pop() except IndexError: self.ip=False return #self.updateViews() def f89(self:"oscExecutor.Executor"):#todo #call sys macro SystemMacros[self.ip](self) self.next() ################################# def f90(self:"oscExecutor.Executor"): self.float_stack.push(self.system_variables[self.ip.value]) self.next() def f91(self:"oscExecutor.Executor"): self.float_stack.push(self.float_local[self.ip.value]) self.next() def f92(self:"oscExecutor.Executor"): self.string_stack.push(self.string_local[self.ip.value]) self.next() def f93(self:"oscExecutor.Executor"): self.float_local[self.ip.value]=self.float_stack.peek() self.next() def f94(self:"oscExecutor.Executor"): self.string_local[self.ip.value]=self.string_stack.peek() self.next() def f95(self:"oscExecutor.Executor"): self.float_stack.push(self.float_constants[self.ip.value]) self.next() def f96(self:"oscExecutor.Executor"): self.float_stack.push(self.program.function(self.ip.value,self.float_stack.pop())) self.next() def f97(self:"oscExecutor.Executor"):#todo#load and play sound #self.float_stack.push(self.program.function(self.ip.value,self.float_stack.pop())) _=self.string_stack.pop() self.next() def f98(self:"oscExecutor.Executor"):#todo#play sound #self.float_stack.push(self.program.function(self.ip.value,self.float_stack.pop())) self.next() def f99(self:"oscExecutor.Executor"): self.float_stack.push(self.ip.value) self.next() def f100(self:"oscExecutor.Executor"): self.float_stack.push(self.register[self.ip.id-100]) self.next() def f101(self:"oscExecutor.Executor"): self.register[self.ip.id-108]=self.float_stack.peek() self.next()

38.833876

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0.442482

0.420652

0

0.027232

0.236118

11,922

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0.017065

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0.266212

0.003413

0

null

0

1

0

1

0

null

0

1

0

4

c142e171dba1b2f5375b2df35de9d46393f77eca

44

py

Python

Chapter10/ch10_forLoop1.py

PacktPublishing/Applied-Computational-Thinking-with-Python

fd9982383c5b473ffa1640998540d602876816e5

[ "MIT" ]

18

2020-11-27T22:41:12.000Z

2021-12-27T08:20:46.000Z

Chapter10/ch10_forLoop1.py

PacktPublishing/Applied-Computational-Thinking-with-Python

fd9982383c5b473ffa1640998540d602876816e5

[ "MIT" ]

null

Chapter10/ch10_forLoop1.py

PacktPublishing/Applied-Computational-Thinking-with-Python

fd9982383c5b473ffa1640998540d602876816e5

[ "MIT" ]

8

2020-11-30T17:51:11.000Z

2021-12-25T05:23:02.000Z

for letter in 'mountain': print(letter)

14.666667

25

0.681818

6

44

5

0.833333

0

0.204545

44

2

26

22

0.857143

0

0.181818

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

c1464e4ec48212aa32248125f742e7b78427c47a

186

py

Python

question1.py

donabjohn/test

791c1962823967172ab7959791818b025b416e51

[ "Apache-2.0" ]

null

question1.py

donabjohn/test

791c1962823967172ab7959791818b025b416e51

[ "Apache-2.0" ]

null

question1.py

donabjohn/test

791c1962823967172ab7959791818b025b416e51

[ "Apache-2.0" ]

null

def NumFunc(myList1=[],myList2=[],*args): list3 = list(set(myList1).intersection(myList2)) return list3 myList1 = [1,2,3,4,5,6] myList2 = [3, 5, 7, 9] NumFunc(myList1,myList2)

23.25

53

0.655914

28

186

4.357143

0.642857

0.229508

0.344262

0

0.125786

0.145161

186

8

54

23.25

0.641509

0

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0.166667

false

0

0.333333

0

1

0

null

1

0

1

0

null

0

4

c14d96d7268281a875b2494b734365a6f9081c37

209

py

Python

ginrex/ui/copy_btn.py

San-WierPa/ginRex

25af3356e22af033f30b0a8a73139635466e4f44

[ "MIT" ]

2

2021-11-22T22:00:05.000Z

2021-12-09T18:57:48.000Z

ginrex/ui/copy_btn.py

San-WierPa/ginrex

25af3356e22af033f30b0a8a73139635466e4f44

[ "MIT" ]

null

ginrex/ui/copy_btn.py

San-WierPa/ginrex

25af3356e22af033f30b0a8a73139635466e4f44

[ "MIT" ]

null

import pyperclip def copied_text(filename) -> str: """ Copies the last loaded datafile into the cache. Parameters ---------- filename: String """ return pyperclip.copy(filename)

16.076923

51

0.62201

22

209

5.863636

0.818182

0

0.253589

209

12

52

17.416667

0.826923

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0

1

0.333333

false

0

0.333333

0

1

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1

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null

0

null

0

1

0

1

0

1

0

4

c165e5e5fbc00ed3fffcc981c7425f190624a86e

1,757

py

Python

tests/test_gtf2IntronBed.py

Oliver-Lab/oliverlib

bc198805080a1ec177cdd6e88611d6dd8e63db47

[ "MIT" ]

null

tests/test_gtf2IntronBed.py

Oliver-Lab/oliverlib

bc198805080a1ec177cdd6e88611d6dd8e63db47

[ "MIT" ]

null

tests/test_gtf2IntronBed.py

Oliver-Lab/oliverlib

bc198805080a1ec177cdd6e88611d6dd8e63db47

[ "MIT" ]

null

import os import subprocess as sp from unittest import TestCase # class TestreadGFF(TestCase): # def setUp(self): # from urllib import request # import gzip # # gff = 'ftp://ftp.flybase.net/releases/FB2016_04/dmel_r6.12/gff/dmel-all-r6.12.gff.gz' # self.gffname = '/tmp/dmel-all-r6.12.gff.gz' # # gtf = 'ftp://ftp.flybase.net/releases/FB2016_04/dmel_r6.12/gtf/dmel-all-r6.12.gtf.gz' # self.gtfname = '/tmp/dmel-all-r6.12.gtf.gz' # # # Download URLs unless I already have a copy # if not os.path.exists(self.gffname): # request.urlretrieve(gff, filename=self.gffname) # # if not os.path.exists(self.gtfname): # request.urlretrieve(gtf, filename=self.gtfname) # # # Extract gz's # if not os.path.exists(self.gffname.strip('.gz')): # proc1 = sp.check_call('gunzip -c {0} > {1}'.format(self.gffname, self.gffname.strip('.gz')), shell=True, stdout=sp.PIPE, stderr=sp.PIPE) # # if not os.path.exists(self.gtfname.strip('.gz')): # proc2 = sp.check_call('gunzip -c {0} > {1}'.format(self.gtfname, self.gtfname.strip('.gz')), shell=True, stdout=sp.PIPE, stderr=sp.PIPE) # # def tearDown(self): # pass # # Delete the extracted files # #os.unlink(self.gffname.strip('.gz')) # #os.unlink(self.gtfname.strip('.gz')) # # # Delete created databases # #os.unlink(self.gffname.strip('.gz') + '.db') # #os.unlink(self.gtfname.strip('.gz') + '.db') # # def test_readGFF_zipped_gff(self): # from gtf2IntronBed import readGFF # readGFF(self.gffname) # # if __name__ == '__main__': import unittest unittest.main()

33.150943

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1

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4

c18571eef41c6bbd7ac17b08ee25b5eec279d296

210

py

Python

dynamic_storages/apps.py

mcclory/django-dynamic-storages

3e7be3cf1b53faa20c8f52ed29384aed23fa5fd0

[ "BSD-3-Clause" ]

2

2021-03-06T03:13:21.000Z

2021-03-06T15:02:31.000Z

dynamic_storages/apps.py

mcclory/django-dynamic-storages

3e7be3cf1b53faa20c8f52ed29384aed23fa5fd0

[ "BSD-3-Clause" ]

null

dynamic_storages/apps.py

mcclory/django-dynamic-storages

3e7be3cf1b53faa20c8f52ed29384aed23fa5fd0

[ "BSD-3-Clause" ]

null

from django.apps import AppConfig class DynamicStoragesConfig(AppConfig): name = "dynamic_storages" label = "dynamic_storages" verbose_name = "Dynamic Storages" def ready(self): pass

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4

c1b49f1a1646bb23f16927d91edf679163ddbff1

16,747

py

Python

tests/python/fake_bpy_module_test/fake_bpy_module_test/refiner_test.py

kant/fake-bge-module

4844110bc032739a250f6cbc9234b48aaa0b4aff

[ "MIT" ]

null

tests/python/fake_bpy_module_test/fake_bpy_module_test/refiner_test.py

kant/fake-bge-module

4844110bc032739a250f6cbc9234b48aaa0b4aff

[ "MIT" ]

null

tests/python/fake_bpy_module_test/fake_bpy_module_test/refiner_test.py

kant/fake-bge-module

4844110bc032739a250f6cbc9234b48aaa0b4aff

[ "MIT" ]

null

from . import common from fake_bpy_module.common import ( ModuleStructure, EntryPoint, DataTypeRefiner, UnknownDataType, IntermidiateDataType, ) class ModuleStructureTest(common.FakeBpyModuleTestBase): name = "ModuleStructureTest" module_name = __module__ def setUp(self): super().setUp() def tearDown(self): super().tearDown() def test_root_only(self): root = ModuleStructure() with self.assertRaises(RuntimeError): name = root.name expect_dict = { "name": None, "children": [], } root.to_dict() def test_one_child(self): root = ModuleStructure() child = ModuleStructure() child.name = "child_module" root.add_child(child) expect_dict = { "name": None, "children": [ { "name": "child_module", "children": [], } ] } self.assertEqual(child.name, "child_module") self.assertEquals(root.children(), [child]) self.assertDictEqual(root.to_dict(), expect_dict) def test_multiple_children(self): root = ModuleStructure() child1 = ModuleStructure() child1.name = "child_module_1" root.add_child(child1) child2 = ModuleStructure() child2.name = "child_module_2" root.add_child(child2) grandchild = ModuleStructure() grandchild.name = "grandchild_module" child2.add_child(grandchild) expect_dict = { "name": None, "children": [ { "name": "child_module_1", "children": [], }, { "name": "child_module_2", "children": [ { "name": "grandchild_module", "children": [], } ], } ] } self.assertEqual(child1.name, "child_module_1") self.assertEqual(child2.name, "child_module_2") self.assertEqual(grandchild.name, "grandchild_module") self.assertEquals(root.children(), [child1, child2]) self.assertEquals(child1.children(), []) self.assertEquals(child2.children(), [grandchild]) self.assertDictEqual(root.to_dict(), expect_dict) class EntryPointTest(common.FakeBpyModuleTestBase): name = "EntryPointTest" module_name = __module__ def setUp(self): super().setUp() def tearDown(self): super().tearDown() def test_all(self): entry_point = EntryPoint() entry_point.type = "constant" entry_point.module = "module.a" entry_point.name = "DATA" self.assertEqual(entry_point.type, "constant") self.assertEqual(entry_point.module, "module.a") self.assertEqual(entry_point.name, "DATA") class DataTypeRefinerTest(common.FakeBpyModuleTestBase): name = "DataTypeRefinerTest" module_name = __module__ def setUp(self): super().setUp() def tearDown(self): super().tearDown() def test_basic(self): package = ModuleStructure() module = ModuleStructure() module.name = "module" submodule = ModuleStructure() submodule.name = "submodule" module.add_child(submodule) package.add_child(module) entry_point_1 = EntryPoint() entry_point_1.type = "class" entry_point_1.module = "module.submodule" entry_point_1.name = "ClassA" entry_point_2 = EntryPoint() entry_point_2.type = "class" entry_point_2.module = "module" entry_point_2.name = "ClassB" refiner = DataTypeRefiner(package, [entry_point_1, entry_point_2]) self.assertEqual(refiner.get_base_name("module.submodule.ClassA"), "ClassA") self.assertIsNone(refiner.get_module_name(None)) self.assertEqual(refiner.get_module_name("module.submodule.ClassA"), "module.submodule") self.assertIsNone(refiner.get_module_name("module.submodule2.ClassA")) self.assertEqual(refiner.get_module_name("module.ClassB"), "module") def test_get_generation_data_type(self): package = ModuleStructure() module_1 = ModuleStructure() module_1.name = "module_1" submodule_1 = ModuleStructure() submodule_1.name = "submodule_1" module_1.add_child(submodule_1) submodule_2 = ModuleStructure() submodule_2.name = "submodule_2" module_1.add_child(submodule_2) package.add_child(module_1) module_2 = ModuleStructure() module_2.name = "module_2" package.add_child(module_2) entry_point_1 = EntryPoint() entry_point_1.type = "class" entry_point_1.module = "module_1.submodule_1" entry_point_1.name = "ClassA" entry_point_2 = EntryPoint() entry_point_2.type = "class" entry_point_2.module = "module_1.submodule_2" entry_point_2.name = "ClassB" entry_point_3 = EntryPoint() entry_point_3.type = "class" entry_point_3.module = "module_1" entry_point_3.name = "ClassC" entry_point_4 = EntryPoint() entry_point_4.type = "class" entry_point_4.module = "module_1" entry_point_4.name = "ClassD" entry_point_5 = EntryPoint() entry_point_5.type = "class" entry_point_5.module = "module_2" entry_point_5.name = "ClassE" refiner = DataTypeRefiner(package, [entry_point_1, entry_point_2, entry_point_3, entry_point_4, entry_point_5]) self.assertIsNone(refiner.get_generation_data_type(None, "module_2")) self.assertEqual(refiner.get_generation_data_type("module_1.ClassC", None), "module_1.ClassC") self.assertEqual(refiner.get_generation_data_type("module_1.submodule_1.ClassA", "module_2"), "module_1.submodule_1.ClassA") self.assertEqual(refiner.get_generation_data_type("module_1.ClassC", "module_1"), "ClassC") self.assertEqual(refiner.get_generation_data_type("module_1.submodule_1.ClassA", "module_1.submodule_2"), "module_1.submodule_1.ClassA") self.assertEqual(refiner.get_generation_data_type("module_1.ClassC", "module_1.submodule_1"), "module_1.ClassC") self.assertEqual(refiner.get_generation_data_type("module_1.submodule_1.ClassA", "module_1"), "module_1.submodule_1.ClassA") def test_get_refined_data_type(self): package = ModuleStructure() module_1 = ModuleStructure() module_1.name = "module_1" submodule_1 = ModuleStructure() submodule_1.name = "submodule_1" module_1.add_child(submodule_1) submodule_2 = ModuleStructure() submodule_2.name = "submodule_2" module_1.add_child(submodule_2) package.add_child(module_1) module_2 = ModuleStructure() module_2.name = "module_2" package.add_child(module_2) entry_point_1 = EntryPoint() entry_point_1.type = "class" entry_point_1.module = "module_1.submodule_1" entry_point_1.name = "ClassA" entry_point_2 = EntryPoint() entry_point_2.type = "class" entry_point_2.module = "module_1.submodule_2" entry_point_2.name = "ClassB" entry_point_3 = EntryPoint() entry_point_3.type = "class" entry_point_3.module = "module_1" entry_point_3.name = "ClassC" entry_point_4 = EntryPoint() entry_point_4.type = "class" entry_point_4.module = "module_1" entry_point_4.name = "ClassD" entry_point_5 = EntryPoint() entry_point_5.type = "class" entry_point_5.module = "module_2" entry_point_5.name = "ClassE" refiner = DataTypeRefiner(package, [entry_point_1, entry_point_2, entry_point_3, entry_point_4, entry_point_5]) unknown_data_type = UnknownDataType() refined_data_type = refiner.get_refined_data_type(unknown_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'UNKNOWN') intermidiate_data_type = IntermidiateDataType("list of int") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'BUILTIN') self.assertEqual(refined_data_type.modifier(), "list") self.assertEqual(refined_data_type.data_type(), "int") intermidiate_data_type = IntermidiateDataType("dict") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MODIFIER') self.assertEqual(refined_data_type.modifier(), "dict") intermidiate_data_type = IntermidiateDataType("sequence ") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MODIFIER') self.assertEqual(refined_data_type.modifier(), "list") intermidiate_data_type = IntermidiateDataType("float") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'BUILTIN') self.assertFalse(refined_data_type.has_modifier()) self.assertEqual(refined_data_type.data_type(), "float") intermidiate_data_type = IntermidiateDataType("string ") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'BUILTIN') self.assertFalse(refined_data_type.has_modifier()) self.assertEqual(refined_data_type.data_type(), "str") intermidiate_data_type = IntermidiateDataType("module_1.ClassC") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'CUSTOM') self.assertFalse(refined_data_type.has_modifier()) self.assertEqual(refined_data_type.data_type(), "module_1.ClassC") intermidiate_data_type = IntermidiateDataType("list of module_1.ClassC") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'CUSTOM') self.assertEqual(refined_data_type.modifier(), "list") self.assertEqual(refined_data_type.data_type(), "module_1.ClassC") intermidiate_data_type = IntermidiateDataType("module_1.ClassC") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'CUSTOM') self.assertEqual(refined_data_type.data_type(), "module_1.ClassC") intermidiate_data_type = IntermidiateDataType("ClassC") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'CUSTOM') self.assertEqual(refined_data_type.data_type(), "module_1.ClassC") intermidiate_data_type = IntermidiateDataType("ClassC") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "") self.assertEqual(refined_data_type.type(), 'CUSTOM') self.assertEqual(refined_data_type.data_type(), "module_1.ClassC") def assert_equal_commutative(expect, actual): def compare_func(expect, actual): if expect["type"] != actual.type(): return False if expect["modifier"] is None: if actual.has_modifier(): return False else: if expect["modifier"] != actual.modifier(): return False if expect["data_type"] is None: if actual.has_modifier(): return False else: if expect["data_type"] != actual.data_type(): return False return True self.assertEqual(len(expect), len(actual)) actual_copied = actual.copy() for e in expect: for a in actual_copied[:]: if compare_func(e, a): actual_copied.remove(a) if len(actual_copied) > 0: self.log("--- Expect ---") for e in expect: self.log("{}".format(e)) self.log("--- Actual ---") for a in actual: self.log("{}".format(a.to_string())) self.assertEqual(len(actual_copied), 0) intermidiate_data_type = IntermidiateDataType("(bpy_prop_collection of float)") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MIXIN') expect = [{ "type": 'BUILTIN', "modifier": "list", "data_type": "float", }, { "type": 'CUSTOM', "modifier": None, "data_type": "bpy_prop_collection" }] assert_equal_commutative(expect, refined_data_type.data_types()) intermidiate_data_type = IntermidiateDataType(" bpy_prop_collection of float") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MIXIN') expect = [{ "type": 'BUILTIN', "modifier": "list", "data_type": "float", }, { "type": 'CUSTOM', "modifier": None, "data_type": "bpy_prop_collection" }] assert_equal_commutative(expect, refined_data_type.data_types()) intermidiate_data_type = IntermidiateDataType("enum") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MIXIN') expect = [{ "type": 'BUILTIN', "modifier": None, "data_type": "str", }, { "type": 'BUILTIN', "modifier": None, "data_type": "int" }] assert_equal_commutative(expect, refined_data_type.data_types()) intermidiate_data_type = IntermidiateDataType("int, float") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MIXIN') expect = [{ "type": 'BUILTIN', "modifier": None, "data_type": "float", }, { "type": 'BUILTIN', "modifier": None, "data_type": "int" }] assert_equal_commutative(expect, refined_data_type.data_types()) intermidiate_data_type = IntermidiateDataType("int, module_1.ClassC") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MIXIN') expect = [{ "type": 'BUILTIN', "modifier": None, "data_type": "int", }, { "type": 'CUSTOM', "modifier": None, "data_type": "module_1.ClassC" }] assert_equal_commutative(expect, refined_data_type.data_types()) intermidiate_data_type = IntermidiateDataType("module_2.ClassE, module_1.submodule_1.ClassA") refined_data_type = refiner.get_refined_data_type(intermidiate_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'MIXIN') expect = [{ "type": 'CUSTOM', "modifier": None, "data_type": "module_2.ClassE", }, { "type": 'CUSTOM', "modifier": None, "data_type": "module_1.submodule_1.ClassA" }] assert_equal_commutative(expect, refined_data_type.data_types()) intermidiate_data_type = IntermidiateDataType("ClassZ") refined_data_type = refiner.get_refined_data_type(unknown_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'UNKNOWN') intermidiate_data_type = IntermidiateDataType("module_1.ClassZ") refined_data_type = refiner.get_refined_data_type(unknown_data_type, "module_1") self.assertEqual(refined_data_type.type(), 'UNKNOWN')

38.148064

119

0.62023

1,783

16,747

5.457656

0.062815

0.121673

0.121776

0.047785

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0.738156

0.728805

0.706711

0.690679

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0.015735

0.271392

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120

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0

0.005376

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0.086022

0

null

0

1

0

1

0

null

0

4

c1bbe5c9560a1a3ac192c663118ae25a071aab39

281

py

Python

src/model/classify_head/__init__.py

JacksonWuxs/taac2021-Video-Classification-Rank5

abecf49b95fe82d9dd47ed37e020d510b04da018

[ "MIT" ]

7

2022-02-22T03:01:59.000Z

2022-03-24T12:50:34.000Z

src/model/classify_head/__init__.py

JacksonWuxs/taac2021-Video-Classification-Rank5

abecf49b95fe82d9dd47ed37e020d510b04da018

[ "MIT" ]

null

src/model/classify_head/__init__.py

JacksonWuxs/taac2021-Video-Classification-Rank5

abecf49b95fe82d9dd47ed37e020d510b04da018

[ "MIT" ]

null

from src.model.classify_head.logistic_model import LogisticModel from src.model.classify_head.moe_model import MoeModel def get_instance(name, paramters_dict): model = {'LogisticModel': LogisticModel, 'MoeModel': MoeModel}[name] return model(**paramters_dict)

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0

null

0

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0

1

0

4

c1c606b270a8b5313eedbebba29e9748c268f6b0

503

py

Python

mlfinlab/portfolio_optimization/__init__.py

jihobak/mlfinlab

c504532729b44f6623255b2fcf105c2627cedec8

[ "BSD-3-Clause" ]

8

2020-04-19T08:09:34.000Z

2022-03-30T20:49:40.000Z

mlfinlab/portfolio_optimization/__init__.py

jihobak/mlfinlab

c504532729b44f6623255b2fcf105c2627cedec8

[ "BSD-3-Clause" ]

1

2019-07-24T17:52:30.000Z

mlfinlab/portfolio_optimization/__init__.py

nisarahamedk/mlfinlab

c504532729b44f6623255b2fcf105c2627cedec8

[ "BSD-3-Clause" ]

8

2020-08-09T02:25:04.000Z

2022-03-20T15:08:11.000Z

""" Classes derived from Portfolio Optimisation module """ from mlfinlab.portfolio_optimization.cla import CLA from mlfinlab.portfolio_optimization.hrp import HierarchicalRiskParity from mlfinlab.portfolio_optimization.mean_variance import MeanVarianceOptimisation from mlfinlab.portfolio_optimization.hcaa import HierarchicalClusteringAssetAllocation from mlfinlab.portfolio_optimization.risk_metrics import RiskMetrics from mlfinlab.portfolio_optimization.returns_estimators import ReturnsEstimation

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null

0

1

0

1

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4

c1cc431bd5651f0f9bfac13d7e1a491cc31a4fea

366

py

Python

scheduler/models.py

psycane/django-calendar

88d9005953c3a88dea2fcb7141029a73e8d0436b

[ "MIT" ]

null

scheduler/models.py

psycane/django-calendar

88d9005953c3a88dea2fcb7141029a73e8d0436b

[ "MIT" ]

null

scheduler/models.py

psycane/django-calendar

88d9005953c3a88dea2fcb7141029a73e8d0436b

[ "MIT" ]

null

from django.db import models # Create your models here. class Event(models.Model): event_name = models.CharField(max_length=30) location = models.CharField(max_length=30) start_date = models.DateTimeField() end_date = models.DateTimeField() description = models.CharField(max_length=100) def __str__(self): return self.event_name

24.4

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366

5.425532

0.574468

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0.211765

0.282353

0.203922

0

0.023333

0.180328

366

14

51

26.142857

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0.065574

0

1

0.111111

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0

0.111111

1

0

null

0

1

0

null

0

1

0

4

c1d3b779937b77ed6fee5b5fb7cc38b3596abb6e

37

py

Python

lib/calistra_lib/exceptions/__init__.py

igorxxl8/Calistra

ced32a53f42a8d7a2309a1eb15acef42418a3ecb

[ "MIT" ]

null

lib/calistra_lib/exceptions/__init__.py

igorxxl8/Calistra

ced32a53f42a8d7a2309a1eb15acef42418a3ecb

[ "MIT" ]

null

lib/calistra_lib/exceptions/__init__.py

igorxxl8/Calistra

ced32a53f42a8d7a2309a1eb15acef42418a3ecb

[ "MIT" ]

null

""" Program exceptions and errors"""

18.5

36

0.702703

4

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6.5

1

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0.135135

37

1

37

0.8125

0.783784

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

c1eb04953c804f9670043b804fc6db8524d445f2

278

py

Python

lpb/custom_storages.py

corwin-cole/lunas-picture-box

af0870bea27b01abdd64260bc4e0d40423580fb2

[ "MIT" ]

null

lpb/custom_storages.py

corwin-cole/lunas-picture-box

af0870bea27b01abdd64260bc4e0d40423580fb2

[ "MIT" ]

null

lpb/custom_storages.py

corwin-cole/lunas-picture-box

af0870bea27b01abdd64260bc4e0d40423580fb2

[ "MIT" ]

null

from django.conf import settings from storages.backends.s3boto3 import S3Boto3Storage class StaticStorage(S3Boto3Storage): bucket_name = settings.STATIC_AWS_STORAGE_BUCKET_NAME class MediaStorage(S3Boto3Storage): bucket_name = settings.MEDIA_AWS_STORAGE_BUCKET_NAME

25.272727

57

0.845324

33

278

6.818182

0.545455

0.177778

0.213333

0.284444

0

0.032258

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278

10

58

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0.333333

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1

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null

0

1

0

null

0

1

0

1

0

4

a9d588e53252a1f7e30294d65b89520a45d42ffb

405

py

Python

system/functions/array.py

superstap/jimi

d921b815c726e169c5a35f01a81eea8a75b8321d

[ "Apache-2.0" ]

111

2020-06-30T10:51:29.000Z

2022-03-29T00:33:48.000Z

system/functions/array.py

superstap/jimi

d921b815c726e169c5a35f01a81eea8a75b8321d

[ "Apache-2.0" ]

206

2020-07-02T22:48:49.000Z

2022-02-16T13:21:10.000Z

system/functions/array.py

superstap/jimi

d921b815c726e169c5a35f01a81eea8a75b8321d

[ "Apache-2.0" ]

24

2020-11-16T15:30:00.000Z

2022-02-10T03:20:14.000Z

def index(array,index): try: return array[index] except: return array def append(array,value): try: array.append(value) except: pass return array def remove(array,index): try: del array[index] except: pass return array def dedupe(array): try: return list(dict.fromkeys(array)) except: return array

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a9ed03bf3d482e0bd660fc0de5b8b3f9f1246fa3

164

py

Python

describer_ml/__init__.py

EricSchles/describer_ml

927795f2a11ebad898619f700cf341c957f99fc5

[ "MIT" ]

6

2019-04-02T19:28:42.000Z

2020-08-16T14:19:41.000Z

describer_ml/__init__.py

EricSchles/describer_ml

927795f2a11ebad898619f700cf341c957f99fc5

[ "MIT" ]

2

2019-05-11T21:35:55.000Z

2022-01-23T05:07:17.000Z

describer_ml/__init__.py

EricSchles/describer_ml

927795f2a11ebad898619f700cf341c957f99fc5

[ "MIT" ]

null

__version__ = '0.20' from .timeseries import timeseries from .numeric import num_stats from .matching import match __all__ = ["timeseries", "num_stats", "match"]

20.5

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164

5.428571

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0.134146

164

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null

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e70fb18bb0156964a077a782cb659b1ada28f49c

375

py

Python

bloock/__init__.py

enchainte/enchainte-sdk-py

d7e6803cb941ae929bca9bb00584aa5b4853689a

[ "MIT" ]

1

2021-11-21T22:02:49.000Z

bloock/__init__.py

enchainte/enchainte-sdk-py

d7e6803cb941ae929bca9bb00584aa5b4853689a

[ "MIT" ]

1

2021-09-16T20:19:04.000Z

bloock/__init__.py

enchainte/enchainte-sdk-py

d7e6803cb941ae929bca9bb00584aa5b4853689a

[ "MIT" ]

1

2021-12-10T10:22:30.000Z

from .shared.bloock_client_exception import BloockException from .record.entity.record_entity import Record from .record.entity.record_receipt_entity import RecordReceipt from .config.entity.configuration_entity import NetworkConfiguration from .config.entity.networks_entity import Network from .proof.entity.proof_entity import Proof from .bloock_client import BloockClient

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e75fd5868d909e23d58a643d892b541787a81f85

171

py

Python

001146StepikPyBegin/Stepik001146PyBeginсh09p02st10TASK09_20210127.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001146StepikPyBegin/Stepik001146PyBeginсh09p02st10TASK09_20210127.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001146StepikPyBegin/Stepik001146PyBeginсh09p02st10TASK09_20210127.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

''' Дополните приведенный код, используя срезы, так чтобы он вывел строку s в обратном порядке. ''' s = "In 2010, someone paid 10k Bitcoin for two pizzas." print(s[::-1])

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e77f9c0bff3cfd4b4288f9bd05e20bb575853ddc

212

py

Python

p0rk/porkweb/forms.py

akampjes/p0rk-crackling

92bc89822173305afb38c575f69e0b17f2fbb869

[ "BSD-3-Clause" ]

11

2016-06-13T10:12:27.000Z

2021-07-03T18:38:33.000Z

p0rk/porkweb/forms.py

akampjes/p0rk-crackling

92bc89822173305afb38c575f69e0b17f2fbb869

[ "BSD-3-Clause" ]

null

p0rk/porkweb/forms.py

akampjes/p0rk-crackling

92bc89822173305afb38c575f69e0b17f2fbb869

[ "BSD-3-Clause" ]

9

2015-04-14T11:16:10.000Z

2021-09-26T18:03:23.000Z

from django.forms import ModelForm from django.forms.models import inlineformset_factory from models import * class JobForm(ModelForm): class Meta: model = Job fields = ("hashType", "attackType", "hashes")

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1

0

1

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0

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0

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e7923ef264261bde2a586130e260feedb4cdfa78

221

py

Python

hubconf.py

chenyaofo/pytorch-cifar-models

e9482ebc665084761ad9c84d36c83cbb82a164a9

[ "BSD-3-Clause" ]

76

2021-04-09T01:23:19.000Z

2022-03-30T02:12:16.000Z

hubconf.py

chenyaofo/pytorch-cifar-models

e9482ebc665084761ad9c84d36c83cbb82a164a9

[ "BSD-3-Clause" ]

10

2021-03-12T08:43:11.000Z

2022-02-23T12:32:46.000Z

hubconf.py

chenyaofo/pytorch-cifar-models

e9482ebc665084761ad9c84d36c83cbb82a164a9

[ "BSD-3-Clause" ]

21

2021-03-21T00:21:18.000Z

2022-03-26T09:06:47.000Z

import pytorch_cifar_models dependencies = ['torch'] models = filter(lambda name: name.startswith("cifar"), dir(pytorch_cifar_models)) globals().update({model: getattr(pytorch_cifar_models, model) for model in models})

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e7a5ad5197d64fabbdbea59a3c45e6bad34131f6

277

py

Python

python-advanced/mspack/msmath.py

Rokon-Uz-Zaman/thinkdiff_python_django

5010c5f1dd8a028fb9e5235319bb6bb434831e6c

[ "MIT" ]

92

2018-04-03T20:53:07.000Z

2022-03-04T05:53:10.000Z

python-language/python-beginner/mspack/msmath.py

mostafijur-rahman299/thinkdiff

b0e0c01fe38c406f4dfa8cc80b2f0c5654017079

[ "MIT" ]

11

2018-10-01T15:35:33.000Z

2021-09-01T04:59:56.000Z

python-language/python-beginner/mspack/msmath.py

mostafijur-rahman299/thinkdiff

b0e0c01fe38c406f4dfa8cc80b2f0c5654017079

[ "MIT" ]

98

2018-03-13T08:03:54.000Z

2022-03-22T08:11:44.000Z

# author Mahmud Ahsan # -------------------- # msmath module under mspack package # -------------------- def sum(x, y): return x + y def subtract(x, y): return x - y def multiplication(x, y): return x * y def division(x, y): return x / y

16.294118

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277

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0.121212

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0.272727

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17

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1

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4

e7c1eaf7147ab9c686a2c13050463e114f23dc8b

152

py

Python

src/api_insee/criteria/field_exact.py

mxdev88/api_insee

383143b9c8e63063a889b7797e989dac9fd0de5b

[ "MIT" ]

9

2019-01-10T17:35:24.000Z

2020-04-18T20:44:45.000Z

src/api_insee/criteria/field_exact.py

mxdev88/api_insee

383143b9c8e63063a889b7797e989dac9fd0de5b

[ "MIT" ]

5

2020-06-04T21:34:49.000Z

2022-03-14T17:58:03.000Z

src/api_insee/criteria/field_exact.py

ln-nicolas/api_insee

383143b9c8e63063a889b7797e989dac9fd0de5b

[ "MIT" ]

3

2020-07-04T18:53:30.000Z

2021-02-04T13:20:03.000Z

from .field import Field class FieldExact(Field): @property def representation(self): return '%s:"%s"' % (self.name, str(self.value))

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99c769c55f6840c78b079868e39daf8d2b4082da

34

py

Python

locker_test.py

Kaundu/password-locker

78b43042b660724b77f9005cfe975db3e3218853

[ "Unlicense" ]

null

locker_test.py

Kaundu/password-locker

78b43042b660724b77f9005cfe975db3e3218853

[ "Unlicense" ]

null

locker_test.py

Kaundu/password-locker

78b43042b660724b77f9005cfe975db3e3218853

[ "Unlicense" ]

null

Account.account_list = []

17

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0

null

0

1

0

null

0

1

0

4

99cac52051655e3af99cccab8ab23f7c96f5f407

133

py

Python

addition/add.py

aravindsavd1/EXYREME

6965cf2db404b4022b6b7bfa409c6d4f2b20deef

[ "MIT" ]

null

addition/add.py

aravindsavd1/EXYREME

6965cf2db404b4022b6b7bfa409c6d4f2b20deef

[ "MIT" ]

null

addition/add.py

aravindsavd1/EXYREME

6965cf2db404b4022b6b7bfa409c6d4f2b20deef

[ "MIT" ]

null

#addition.py def add(a,b): return a+b a=int(input("Enter the a value")) b= int(input("Enter the b value")) c=add(a,b) print(c)

19

34

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0.166667

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1

0

null

0

1

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4

99cc8e4fc5c038802f2a55f3bee025c15da2dd03

70

py

Python

ansys/mapdl/core/inline_functions/__init__.py

RGPATCHI/pymapdl

4b0f98feb9cccde0ac1e712a04345f981d5c0b23

[ "MIT" ]

194

2016-10-21T08:46:41.000Z

2021-01-06T20:39:23.000Z

ansys/mapdl/core/inline_functions/__init__.py

NewsamNiu/pymapdl

482c960142a612997eb33216731aaa88f1371168

[ "MIT" ]

463

2021-01-12T14:07:38.000Z

2022-03-31T22:42:25.000Z

ansys/mapdl/core/inline_functions/__init__.py

NewsamNiu/pymapdl

482c960142a612997eb33216731aaa88f1371168

[ "MIT" ]

66

2016-11-21T04:26:08.000Z

2020-12-28T09:27:27.000Z

from .inline_functions import Query from .core import SelectionStatus

23.333333

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1

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4

99de3e6351b744c31f81b071b79deb4f7da6cde5

1,181

py

Python

geoid_toolkit/__init__.py

tsutterley/geoid-toolk

7ea7fdfa2e80b5795b2bfe87f3ed316280d2e1e5

[ "MIT" ]

2

2021-02-09T06:42:59.000Z

2021-05-09T14:18:08.000Z

geoid_toolkit/__init__.py

tsutterley/geoid-toolk

7ea7fdfa2e80b5795b2bfe87f3ed316280d2e1e5

[ "MIT" ]

1

2021-09-02T23:00:24.000Z

geoid_toolkit/__init__.py

tsutterley/geoid-toolk

7ea7fdfa2e80b5795b2bfe87f3ed316280d2e1e5

[ "MIT" ]

3

2020-12-29T14:14:37.000Z

2021-09-20T05:29:48.000Z

import geoid_toolkit.spatial import geoid_toolkit.utilities import geoid_toolkit.version from geoid_toolkit.calculate_geoid_undulation import calculate_geoid_undulation from geoid_toolkit.calculate_tidal_offset import calculate_tidal_offset from geoid_toolkit.corrected_geoid_undulation import corrected_geoid_undulation from geoid_toolkit.gauss_weights import gauss_weights from geoid_toolkit.geoid_undulation import geoid_undulation from geoid_toolkit.gravity_anomaly import gravity_anomaly from geoid_toolkit.gravity_disturbance import gravity_disturbance from geoid_toolkit.height_anomaly import height_anomaly from geoid_toolkit.legendre_polynomials import legendre_polynomials from geoid_toolkit.norm_gravity import norm_gravity from geoid_toolkit.norm_potential import norm_potential from geoid_toolkit.read_ICGEM_harmonics import read_ICGEM_harmonics from geoid_toolkit.read_topography_harmonics import read_topography_harmonics from geoid_toolkit.real_potential import real_potential from geoid_toolkit.ref_ellipsoid import ref_ellipsoid from geoid_toolkit.topographic_potential import topographic_potential # get version number __version__ = geoid_toolkit.version.version

56.238095

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99f610f1d823334f389cd07015188935af16e562

336

py

Python

exceptions.py

mischw/botnet_dissectors

a67dbdac740a4f9f97d0507b4fa7ed83f68e99c2

[ "MIT" ]

1

2021-09-16T11:20:45.000Z

exceptions.py

mischw/botnet_dissectors

a67dbdac740a4f9f97d0507b4fa7ed83f68e99c2

[ "MIT" ]

null

exceptions.py

mischw/botnet_dissectors

a67dbdac740a4f9f97d0507b4fa7ed83f68e99c2

[ "MIT" ]

null

class DissectError(Exception): """ Error when - initially parsing / constructing a message (Checksum error, message to small, ...) or - trying to access data / certain attributes (No payload, payload too small, payload does make no sense) May also occur when encountering edge cases not yet handled by the dissector """ pass

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null

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4

820681ac14d2db39dbe058469c287d780e7f4deb

421

py

Python

satsim/generic/services/coordinate_system_service.py

0saurabh0/p1

af172de29f08e6fe21c810e0e87c06644af16c1f

[ "MIT" ]

null

satsim/generic/services/coordinate_system_service.py

0saurabh0/p1

af172de29f08e6fe21c810e0e87c06644af16c1f

[ "MIT" ]

null

satsim/generic/services/coordinate_system_service.py

0saurabh0/p1

af172de29f08e6fe21c810e0e87c06644af16c1f

[ "MIT" ]

null

from simulator.models.basic.service import Service class CoordinateSystemService(Service): def __init__(self): self.coordinate_systems = [] def get_by_name(self, name): pass def get_by_index(self, index): pass def register(self, name, description, parent, position, rotation): pass def transfer(self, coordinate_system, parent, position, rotation): pass

21.05

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0.333333

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0

1

0

1

0

1

0

4

820a5e6ba69adad7fa13a4a266679389c78dc5b1

271

py

Python

euler9.py

amsterdatech/project-euler

56e4d52f6c8d643e9bbd0718ec818acdb02b8aa1

[ "MIT" ]

null

euler9.py

amsterdatech/project-euler

56e4d52f6c8d643e9bbd0718ec818acdb02b8aa1

[ "MIT" ]

null

euler9.py

amsterdatech/project-euler

56e4d52f6c8d643e9bbd0718ec818acdb02b8aa1

[ "MIT" ]

null

a = m^2 - n^2 , b = 2mn , c = m^2 + n^2 def spt(sum): for m in range(sum): for n in range(m, sum): a = m ** 2 - n ** 2 b = 2 * (m * n) c = m ** 2 + n ** 2 if a + b + c == 1000: return (a,b,c,)

24.636364

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271

1.714286

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0.142857

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0.106061

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11

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0

null

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0

1

0

1

0

null

0

1

0

4

41a22528e7d19a48f526f6eefb21a47c4e9706cc

65

py

Python

bitcoin-notifier/bitcoin_notifier/__main__.py

anik-ghosh-au7/bitcoin_notifier

74d68ea53a3819a0a0ab778bb74d5efc40c92f9c

[ "MIT" ]

1

2021-07-14T18:41:24.000Z

bitcoin-notifier/build/lib/bitcoin_notifier/__main__.py

anik-ghosh-au7/bitcoin_notifier

74d68ea53a3819a0a0ab778bb74d5efc40c92f9c

[ "MIT" ]

null

bitcoin-notifier/build/lib/bitcoin_notifier/__main__.py

anik-ghosh-au7/bitcoin_notifier

74d68ea53a3819a0a0ab778bb74d5efc40c92f9c

[ "MIT" ]

null

#!/usr/bin/python3 from bitcoin_notifier.cli import main main()

13

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0.9

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null

0

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1

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41c1384aa308ffec8374bd6517a351485d2ff23a

140

py

Python

scripts/reset_database.py

Watchful1/RedditSubsBot

a65733f6a4a5a50b46463887ed38f6a0fb1d89b5

[ "MIT" ]

20

2017-02-06T21:06:55.000Z

2019-09-15T19:24:38.000Z

scripts/reset_database.py

Watchful1/RedditSubsBot

a65733f6a4a5a50b46463887ed38f6a0fb1d89b5

[ "MIT" ]

108

2016-07-18T03:17:25.000Z

2019-03-05T18:44:27.000Z

scripts/reset_database.py

Watchful1/RedditSubsBot

a65733f6a4a5a50b46463887ed38f6a0fb1d89b5

[ "MIT" ]

4

2017-02-06T21:07:00.000Z

2019-07-24T01:21:16.000Z

import discord_logging log = discord_logging.init_logging() from database import Database new_db = Database(publish=True) new_db.close()

15.555556

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192

py

Python

multicam/__init__.py

nrsyed/multithread-multicam

47373da64d8be543c55075b7700cd1996333d005

[ "MIT" ]

2

2021-07-21T12:36:47.000Z

2021-12-16T23:54:29.000Z

multicam/__init__.py

nrsyed/multithread-multicam

47373da64d8be543c55075b7700cd1996333d005

[ "MIT" ]

null

multicam/__init__.py

nrsyed/multithread-multicam

47373da64d8be543c55075b7700cd1996333d005

[ "MIT" ]

1

2021-08-04T09:27:56.000Z

from .multicam import show_videos from .util import get_cam_ids, get_parser, process_args, write_mp4 __all__ = [ "get_cam_ids", "show_videos", "get_parser", "process_args", "write_mp4" ]

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68e70b6654031c943debee489aaa4d08f774e50e

68

py

Python

ioflo/app/__init__.py

BradyHammond/ioflo

177ac656d7c4ff801aebb0d8b401db365a5248ce

[ "ECL-2.0", "Apache-2.0", "MIT" ]

128

2015-01-14T12:26:56.000Z

2021-11-06T07:09:29.000Z

ioflo/app/__init__.py

BradyHammond/ioflo

177ac656d7c4ff801aebb0d8b401db365a5248ce

[ "ECL-2.0", "Apache-2.0", "MIT" ]

17

2015-01-28T18:26:50.000Z

2020-11-19T22:08:06.000Z

ioflo/app/__init__.py

BradyHammond/ioflo

177ac656d7c4ff801aebb0d8b401db365a5248ce

[ "ECL-2.0", "Apache-2.0", "MIT" ]

29

2015-01-27T23:28:31.000Z

2021-05-04T16:37:30.000Z

""" app package """ #print("\nPackage at {0}".format( __path__[0]))

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4

68f3afcb1fb049fb6a6d1f3dae2ff3b0895217bc

1,141

py

Python

Programming/python/python in depth/Python-JSON/api.py

shreejitverma/Competitive-Programming

579c3c65de9afdc2aad562485f9369a6ad51e036

[ "MIT" ]

2

2022-02-18T05:14:28.000Z

2022-03-08T07:00:08.000Z

Programming/python/python in depth/Python-JSON/api.py

shreejitverma/Competitive-Programming

579c3c65de9afdc2aad562485f9369a6ad51e036

[ "MIT" ]

6

2022-01-13T04:31:04.000Z

2022-03-12T01:06:16.000Z

Programming/python/python in depth/Python-JSON/api.py

shreejitverma/Competitive-Programming

579c3c65de9afdc2aad562485f9369a6ad51e036

[ "MIT" ]

2

2022-02-14T19:53:53.000Z

2022-02-18T05:14:30.000Z

import json # from urllib.request import urlopen # with urlopen("https://finance.yahoo.com/webservice/v1/symbols/allcurrencies/quote?format=json") as response: # source = response.read() # data = json.loads(source) # # print(json.dumps(data, indent=2)) # usd_rates = dict() # for item in data['list']['resources']: # name = item['resource']['fields']['name'] # price = item['resource']['fields']['price'] # usd_rates[name] = price # print(50 * float(usd_rates['USD/INR'])) # b = json.dumps() # student = {} # student["a"] = {"rollno": 2001, "age": 18, "mark": [85, 65, 65]} # student["b"] = {"rollno": 2002, "age": 18, "mark": [85, 55, 65]} # student["c"] = {"rollno": 2003, "age": 18, "mark": [85, 95, 65]} # rank = {} # for key, value in student.items(): # smark = sum(student[key]["mark"]) # student[key].update({"total_marks": smark}) # s = sorted(student, key=lambda x: student[x]["total_marks"], reverse=True) # rank = 1 # for key in s: # student[key].update({"rank": rank}) # rank += 1 # print("*** Rank of each student based on total marks *** \n") # for i in student.items(): # print(i)

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ec21f03420019d766132bfd01d3adacc45d30934

2,144

py

Python

docs/jnpr_healthbot_swagger/test/test_services_api.py

dmontagner/healthbot-py-client

0952e0a9e7ed63c9fe84879f40407c3327735252

[ "Apache-2.0" ]

10

2019-10-23T12:54:37.000Z

2022-02-07T19:24:30.000Z

docs/jnpr_healthbot_swagger/test/test_services_api.py

dmontagner/healthbot-py-client

0952e0a9e7ed63c9fe84879f40407c3327735252

[ "Apache-2.0" ]

5

2019-09-30T04:29:25.000Z

2022-02-16T12:21:06.000Z

docs/jnpr_healthbot_swagger/test/test_services_api.py

dmontagner/healthbot-py-client

0952e0a9e7ed63c9fe84879f40407c3327735252

[ "Apache-2.0" ]

4

2019-09-30T01:17:48.000Z

2020-08-25T07:27:54.000Z

# coding: utf-8 """ Healthbot APIs API interface for Healthbot application # noqa: E501 OpenAPI spec version: 1.0.0 Contact: healthbot-hackers@juniper.net Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import swagger_client from swagger_client.api.services_api import ServicesApi # noqa: E501 from swagger_client.rest import ApiException class TestServicesApi(unittest.TestCase): """ServicesApi unit test stubs""" def setUp(self): self.api = swagger_client.api.services_api.ServicesApi() # noqa: E501 def tearDown(self): pass def test_create_services_device_groups_device_group_by_device_group_name(self): """Test case for create_services_device_groups_device_group_by_device_group_name Start a device-group's services. # noqa: E501 """ pass def test_create_services_network_group_by_network_group_name(self): """Test case for create_services_network_group_by_network_group_name Start a network-group's services. # noqa: E501 """ pass def test_delete_services_device_groups_device_group_by_device_group_name(self): """Test case for delete_services_device_groups_device_group_by_device_group_name Stop and remove a device-group's services. # noqa: E501 """ pass def test_delete_services_network_group_by_network_group_name(self): """Test case for delete_services_network_group_by_network_group_name Stop and remove a network-group's services. # noqa: E501 """ pass def test_retrieve_services_device_groups_device_group_device_group(self): """Test case for retrieve_services_device_groups_device_group_device_group Get running `device-group-name`s. # noqa: E501 """ pass def test_retrieve_services_network_group(self): """Test case for retrieve_services_network_group Get running `network-group-name`s # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

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ec2e06c2f5682edc26a849f67e1f11e827b60afe

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py

Python

recipes/stages/_base_/data/coco_resize_person.py

openvinotoolkit/model_preparation_algorithm

8d36bf5944837b7a3d22fc2c3a4cb93423619fc2

[ "Apache-2.0" ]

null

recipes/stages/_base_/data/coco_resize_person.py

openvinotoolkit/model_preparation_algorithm

8d36bf5944837b7a3d22fc2c3a4cb93423619fc2

[ "Apache-2.0" ]

null

recipes/stages/_base_/data/coco_resize_person.py

openvinotoolkit/model_preparation_algorithm

8d36bf5944837b7a3d22fc2c3a4cb93423619fc2

[ "Apache-2.0" ]

null

_base_ = [ './coco_resize.py' ] data = dict( train=dict(classes=('person',)), val=dict(classes=('person',)), test=dict(classes=('person',)) )

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py

Python

daterangefilter/__init__.py

an42rus/django-daterangefilter

a44137c34c1f80b4647039a6dcde8e4a586eea85

[ "MIT" ]

21

2019-01-14T18:38:21.000Z

2022-01-05T16:32:22.000Z

daterangefilter/__init__.py

an42rus/django-daterangefilter

a44137c34c1f80b4647039a6dcde8e4a586eea85

[ "MIT" ]

9

2018-12-27T08:42:18.000Z

2022-02-23T21:27:47.000Z

daterangefilter/__init__.py

an42rus/django-daterangefilter

a44137c34c1f80b4647039a6dcde8e4a586eea85

[ "MIT" ]

16

2019-11-22T06:28:38.000Z

2022-03-23T20:58:12.000Z

default_app_config = 'daterangefilter.apps.DateRangeFilterAppConfig'

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ec4a142610cf446ec1cf83598b3b2d1b20aa4ba7

740

py

Python

Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/_api/v1/saved_model/signature_def_utils/__init__.py

JustinACoder/H22-GR3-UnrealAI

361eb9ef1147f8a2991e5f98c4118cd823184adf

[ "MIT" ]

6

2022-02-04T18:12:24.000Z

2022-03-21T23:57:12.000Z

Lib/site-packages/tensorflow/_api/v1/saved_model/signature_def_utils/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

null

Lib/site-packages/tensorflow/_api/v1/saved_model/signature_def_utils/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

1

2022-02-08T03:53:23.000Z

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """SignatureDef utility functions. Utility functions for building and inspecting SignatureDef protos. """ from __future__ import print_function from tensorflow.python.saved_model.signature_def_utils import build_signature_def from tensorflow.python.saved_model.signature_def_utils import classification_signature_def from tensorflow.python.saved_model.signature_def_utils import is_valid_signature from tensorflow.python.saved_model.signature_def_utils import predict_signature_def from tensorflow.python.saved_model.signature_def_utils import regression_signature_def del print_function

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6b4f35790c7d496a76a4ef578c5cd611be252aa1

65

py

Python

cherche/similarity/__init__.py

raphaelsty/cherche

c9db846fc80451d71056803250ff649a063af057

[ "MIT" ]

193

2022-01-08T13:21:08.000Z

2022-03-26T17:24:18.000Z

cherche/similarity/__init__.py

NicolasBizzozzero/cherche

3869206438a15ff9c14d3d36468b578f193b9a57

[ "MIT" ]

3

2022-02-08T01:17:22.000Z

2022-03-17T10:32:57.000Z

cherche/similarity/__init__.py

NicolasBizzozzero/cherche

3869206438a15ff9c14d3d36468b578f193b9a57

[ "MIT" ]

7

2022-01-09T11:27:29.000Z

2022-01-23T08:58:01.000Z

from .similarity import cosine, dot __all__ = ["cosine", "dot"]

16.25

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8

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0.75

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0.153846

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6b749c28f33481339f37f4f5887f4161f9b0b486

994

py

Python

app/models.py

martinusdawan/micro-auth-gemin

642edce24fd8ca053ef03b8ddf8fb74e73f03959

[ "Apache-2.0" ]

null

app/models.py

martinusdawan/micro-auth-gemin

642edce24fd8ca053ef03b8ddf8fb74e73f03959

[ "Apache-2.0" ]

null

app/models.py

martinusdawan/micro-auth-gemin

642edce24fd8ca053ef03b8ddf8fb74e73f03959

[ "Apache-2.0" ]

null

from datetime import datetime # from sqlalchemy import Column from sqlalchemy import String, Date, Text, DateTime, Boolean # from app import db # individuals = db.Table( # 'individuals', db, # db.Column('individuals_id', db.String(25), primary_key=True), # db.Column('firstname', db.String(40), nullable=True), # db.Column('lastname', db.String(40), nullable=True), # db.Column('lastname', db.String(40), nullable=True), # ) # class Individuals(db.Model): # __tablename__ = 'individuals' # individuals_id = db.Column(String(25), primary_key=True) # firstname = db.Column(String(40), nullable=True) # lastname = db.Column(String(40), nullable=True) # phone = db.Column(String(14), nullable=False, unique=True) # dateofbirth = db.Column(Date, nullable=False, default='1900-01-01') # address = db.Column(Text(), nullable=False) # created_at = db.Column(DateTime, default=datetime.now) # confirmed = db.Column(Boolean, default=False)

38.230769

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994

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6b923a6a91078c12dcd57f11794e51fde76b1c31

407

py

Python

tests/stdlib/test_threading_local.py

li-caspar/eventlet_0.30.2

a431842e29c26e46cfcfff60c93ca92e07663044

[ "MIT" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/eventlet-0.24.1/tests/stdlib/test_threading_local.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/eventlet-0.24.1/tests/stdlib/test_threading_local.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

from eventlet import patcher from eventlet.green import thread from eventlet.green import threading from eventlet.green import time # hub requires initialization before test can run from eventlet import hubs hubs.get_hub() patcher.inject( 'test.test_threading_local', globals(), ('time', time), ('thread', thread), ('threading', threading)) if __name__ == '__main__': test_main()

21.421053

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407

5.568627

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null

0

1

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1

0

4

6ba2862e0111f398527c3f6ca79c13c04e1af4e3

93

py

Python

authstuff/apps.py

cmd-ev/voctoconf

5d2c1ca4f1da01b66983f5a562eb8eb6babe0452

[ "MIT" ]

21

2020-08-24T13:27:03.000Z

2021-10-15T09:17:46.000Z

authstuff/apps.py

cmd-ev/voctoconf

5d2c1ca4f1da01b66983f5a562eb8eb6babe0452

[ "MIT" ]

null

authstuff/apps.py

cmd-ev/voctoconf

5d2c1ca4f1da01b66983f5a562eb8eb6babe0452

[ "MIT" ]

5

2020-08-25T16:34:51.000Z

2021-02-19T04:48:10.000Z

from django.apps import AppConfig class AuthstuffConfig(AppConfig): name = 'authstuff'

15.5

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7.1

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93

5

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null

0

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1

0

4

6bc34e29cf6538f1598410dae30ede925d84dcee

986

py

Python

servicecatalog_puppet/workflow/apps/app_section_task.py

richardmilnerwatts/aws-service-catalog-puppet

cd866860073b0e43722cc941bacd38df4e84f7a1

[ "Apache-2.0" ]

66

2019-04-23T12:10:27.000Z

2022-03-31T19:47:09.000Z

servicecatalog_puppet/workflow/apps/app_section_task.py

richardmilnerwatts/aws-service-catalog-puppet

cd866860073b0e43722cc941bacd38df4e84f7a1

[ "Apache-2.0" ]

283

2019-04-18T22:21:20.000Z

2022-03-31T10:04:42.000Z

servicecatalog_puppet/workflow/apps/app_section_task.py

richardmilnerwatts/aws-service-catalog-puppet

cd866860073b0e43722cc941bacd38df4e84f7a1

[ "Apache-2.0" ]

47

2019-05-14T12:45:57.000Z

2022-03-25T17:54:22.000Z

# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 from servicecatalog_puppet import constants from servicecatalog_puppet.workflow.apps import app_for_account_and_region_task from servicecatalog_puppet.workflow.apps import app_for_account_task from servicecatalog_puppet.workflow.apps import app_for_region_task from servicecatalog_puppet.workflow.apps import app_task from servicecatalog_puppet.workflow.generic import generic_section_task class AppSectionTask(generic_section_task.GenericSectionTask): section_name_singular = constants.APP section_name = constants.APPS for_region_task_klass = app_for_region_task.AppForRegionTask for_account_task_klass = app_for_account_task.AppForAccountTask for_account_and_region_task_klass = ( app_for_account_and_region_task.AppForAccountAndRegionTask ) task_klass = app_task.AppTask item_name = "app_name" supports_spoke_mode = True

42.869565

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0

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1

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4

6be2067ee61ce5f5ab88b8a775b0e283e73f42db

318

py

Python

scripts/v120_lines.py

selinabitting/compas_view2

cac8abaf8fbde13ceabe35324be92779ea2e535f

[ "MIT" ]

5

2021-03-03T13:07:31.000Z

2022-02-05T01:07:31.000Z

scripts/v120_lines.py

selinabitting/compas_view2

cac8abaf8fbde13ceabe35324be92779ea2e535f

[ "MIT" ]

91

2021-01-29T14:26:28.000Z

2022-03-22T17:15:58.000Z

scripts/v120_lines.py

selinabitting/compas_view2

cac8abaf8fbde13ceabe35324be92779ea2e535f

[ "MIT" ]

6

2021-01-29T11:13:45.000Z

2022-02-05T00:56:24.000Z

from compas_view2 import app from compas.geometry import Line from random import random viewer = app.App() for i in range(10): line = Line([random()*20, random()*20, random()*20], [random()*20, random()*20, random()*20]) viewer.add(line, linecolor=(random(), random(), random()), linewidth=2) viewer.show()

26.5

97

0.679245

47

318

4.574468

0.425532

0.223256

0.325581

0.372093

0.223256

0

0.058394

0.138365

318

11

98

28.909091

0.726277

0

1

0

false

0

0.375

0

0.375

0

null

1

0

null

0

1

0

4

6be8a4fedc3d685e82d779dec41704b2e26ff497

124

py

Python

decompyle/test/test_iterators.py

dkudriavtsev/unholy

ea44e7aaf62d17574d85407d85af286c9879c366

[ "MIT" ]

88

2015-02-06T15:27:13.000Z

2021-11-25T03:44:20.000Z

decompyle/test/test_iterators.py

dkudriavtsev/unholy

ea44e7aaf62d17574d85407d85af286c9879c366

[ "MIT" ]

1

2015-12-03T07:19:40.000Z

2015-12-06T00:49:18.000Z

decompyle/test/test_iterators.py

dkudriavtsev/unholy

ea44e7aaf62d17574d85407d85af286c9879c366

[ "MIT" ]

19

2015-06-19T14:49:49.000Z

2022-01-10T02:45:12.000Z

for i in range(20): print i, print for i in range(10): print i, #if i == 10: break else: print 'The End'

10.333333

22

0.548387

23

124

2.956522

0.521739

0.117647

0.176471

0.323529

0

0.072289

0.330645

124

11

23

11.272727

0.746988

0.137097

0

0.285714

0

0.066667

0

null

0

null

0.571429

1

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null

0

1

0

null

0

1

0

1

0

4

6bf736010ab4eba177d144a0ebc7f0bb7cd250a5

2,126

py

Python

tests/client_simulation.py

irschad/ContainerizeApp

8194faf39607f73be48b59dca373a579e1f8005a

[ "MIT" ]

null

tests/client_simulation.py

irschad/ContainerizeApp

8194faf39607f73be48b59dca373a579e1f8005a

[ "MIT" ]

null

tests/client_simulation.py

irschad/ContainerizeApp

8194faf39607f73be48b59dca373a579e1f8005a

[ "MIT" ]

null

"""Simulates client requests Requires running server!!! make start-api """ import requests import json import base64 #Failed Query Parameters Simulation url = "http://0.0.0.0:5001/api/aggregate" with open("../ext/input.csv", "rb") as f: data = base64.b64encode(f.read()) payload = {'column':'count'} #Not enough parameters headers = {'Content-Type': 'application/json'} r = requests.put(url, data=data, params=payload, headers=headers) print("status code: ", r.status_code) print("response body: ", json.loads(r.content)) # Should get this: # 2017-06-19 20:40:17,915 - __main__ - INFO - Content-Type is set to: application/json # 2017-06-19 20:40:17,915 - __main__ - INFO - Request Query String: b'column=count' # 2017-06-19 20:40:17,916 - __main__ - INFO - column: [count] and group_by: [None] Query Parameter values # 2017-06-19 20:40:17,916 - __main__ - INFO - Query Parameter column or group_by not set # 127.0.0.1 - - [19/Jun/2017 20:40:17] "PUT /api/aggregate?column=count HTTP/1.1" 400 - #Successful Query Parameters Simulation url = "http://0.0.0.0:5001/api/aggregate" with open("../ext/input.csv", "rb") as f: data = base64.b64encode(f.read()) payload = {'column':'count', 'group_by': 'last_name'} headers = {'Content-Type': 'application/json'} r = requests.put(url, data=data, params=payload, headers=headers) print("status code: ", r.status_code) print("response body: ", json.loads(r.content)) # Should get this: # 2017-06-19 20:40:17,919 - __main__ - INFO - Content-Type is set to: application/json # 2017-06-19 20:40:17,919 - __main__ - INFO - Request Query String: b'column=count&group_by=last_name' # 2017-06-19 20:40:17,919 - __main__ - INFO - column: [count] and group_by: [last_name] Query Parameter values # 2017-06-19 20:40:17,919 - __main__ - INFO - Decoding data of size: 161 # 2017-06-19 20:40:17,927 - __main__ - INFO - {"first_name":{"3":"john","10":"piers","15":"sam","17":"kristen","19":"john"},"last_name":{"3":"lee","10":"smith","15":"eagle","17":"smith","19":"eagle"}} # 127.0.0.1 - - [19/Jun/2017 20:40:17] "PUT /api/aggregate?column=count&group_by=last_name HTTP/1.1" 200 -

45.234043

200

0.688617

351

2,126

4.02849

0.287749

0.031117

0.046676

0.063649

0.7843

0.742574

0.712871

0.670438

0.551627

0

0.131833

0.122295

2,126

46

201

46.217391

0.625938

0.617592

0

0.736842

0

0.320253

0

1

0

false

0

0.157895

0

0.157895

0.210526

0

null

0

1

0

1

0

null

0

4

d41621f3bf021f8a627f13df9c1ad2a35444e92b

197

py

Python

tests/__init__.py

Subzidion/uplink-python

2fc4fc65e15b157a7d6c76dc72ba1b2bd5fb4428

[ "Apache-2.0" ]

null

tests/__init__.py

Subzidion/uplink-python

2fc4fc65e15b157a7d6c76dc72ba1b2bd5fb4428

[ "Apache-2.0" ]

null

tests/__init__.py

Subzidion/uplink-python

2fc4fc65e15b157a7d6c76dc72ba1b2bd5fb4428

[ "Apache-2.0" ]

null

import os import sys import unittest def run(): tests = unittest.TestLoader().discover('.') passed = unittest.TextTestRunner().run(tests).wasSuccessful() sys.exit(0 if passed else 1)

19.7

65

0.700508

25

197

5.52

0.68

0.115942

0

0.012195

0.167513

197

9

66

21.888889

0.829268

0

0.005076

0

1

0.142857

false

0.285714

0.428571

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

4

d419b70ec1b2685e3912a4e81376f0177ca6d128

140

py

Python

vkwave/types/extension_objects.py

krasnovmv/vkwave

e0db86cc16f97797765aadfb811ec87ff7945b1f

[ "MIT" ]

null

vkwave/types/extension_objects.py

krasnovmv/vkwave

e0db86cc16f97797765aadfb811ec87ff7945b1f

[ "MIT" ]

null

vkwave/types/extension_objects.py

krasnovmv/vkwave

e0db86cc16f97797765aadfb811ec87ff7945b1f

[ "MIT" ]

null

import pydantic class MessagesSendPeerIdsData(pydantic.BaseModel): peer_id: int = pydantic.Field( ..., description="", )

15.555556

50

0.664286

12

140

7.666667

0.833333

0

0.214286

140

8

51

17.5

0.836364

0

1

0

true

0

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d424aa50e1d509296822238a5c7855e786a14d5f

165

py

Python

clock-web/handlers/clock.py

somenkovnikita/clock-web

6959a138fcab5b8085e9176196e4393d34504db8

[ "MIT" ]

null

clock-web/handlers/clock.py

somenkovnikita/clock-web

6959a138fcab5b8085e9176196e4393d34504db8

[ "MIT" ]

null

clock-web/handlers/clock.py

somenkovnikita/clock-web

6959a138fcab5b8085e9176196e4393d34504db8

[ "MIT" ]

null

# -*- coding: utf-8 -*- import tornado.web class ClockHandler(tornado.web.RequestHandler): def get(self): self.render("index.html", title="clock-web")

20.625

52

0.660606

21

165

5.190476

0.809524

0.183486

0

0.007246

0.163636

165

7

53

23.571429

0.782609

0.127273

0

0.133803

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d45de6999ed91e04043f193cb5d06a0026a11276

85

py

Python

mysite/slhpa/apps.py

jeffb4real/SLHPA-Web-App

cdb837ee24d790d48e8280b3d085be12cfdc52bb

[ "MIT" ]

1

2019-02-28T09:16:43.000Z

mysite/slhpa/apps.py

jeffb4real/SLHPA-Web-App

cdb837ee24d790d48e8280b3d085be12cfdc52bb

[ "MIT" ]

9

2019-02-08T05:01:53.000Z

2021-04-08T19:12:44.000Z

mysite/slhpa/apps.py

jeffb4real/SLHPA-Web-App

cdb837ee24d790d48e8280b3d085be12cfdc52bb

[ "MIT" ]

null

from django.apps import AppConfig class SlhpaConfig(AppConfig): name = 'slhpa'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

0

0.058824

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

00fcd72af8e945b19f494e7845ed96d5722bb4fa

152

py

Python

tests/resources/system_tests/test_exceptions/unhandled_exceptions_attach.py

rozuur/ptvsd

046fd0f054b2eed91ec5df02e5f36151b71e36b1

[ "MIT" ]

null

tests/resources/system_tests/test_exceptions/unhandled_exceptions_attach.py

rozuur/ptvsd

046fd0f054b2eed91ec5df02e5f36151b71e36b1

[ "MIT" ]

null

tests/resources/system_tests/test_exceptions/unhandled_exceptions_attach.py

rozuur/ptvsd

046fd0f054b2eed91ec5df02e5f36151b71e36b1

[ "MIT" ]

null

import sys import ptvsd ptvsd.enable_attach((sys.argv[1], sys.argv[2])) ptvsd.wait_for_attach() raise ArithmeticError('Hello') sys.stdout.write('end')

19

47

0.763158

24

152

4.708333

0.666667

0.123894

0

0.014184

0.072368

152

7

48

21.714286

0.787234

0

0.052632

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2e03c01ce80543994e59c4041133dba0bd4e4c9a

215

py

Python

src/jt/jpype/_jexception.py

karpierz/jtypes.jpype

225b214757ef7f7e03c4569028906d8194e3345d

[ "Apache-2.0" ]

5

2019-01-08T02:33:55.000Z

2019-11-08T21:00:45.000Z

src/jt/jpype/_jexception.py

karpierz/jtypes.jpype

225b214757ef7f7e03c4569028906d8194e3345d

[ "Apache-2.0" ]

2

2018-06-29T15:46:34.000Z

2020-11-15T01:01:10.000Z

src/jt/jpype/_jexception.py

karpierz/jtypes.jpype

225b214757ef7f7e03c4569028906d8194e3345d

[ "Apache-2.0" ]

null

# Copyright 2013-2018 Adam Karpierz # Licensed under the Apache License, Version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 from ..jtypes._jclass import JavaException def JException(t): return t.PYEXC

19.545455

48

0.753488

32

215

5.03125

0.84375

0.024845

0

0.065217

0.144186

215

10

49

21.5

0.809783

0.572093

0

1

0.333333

false

0

0.333333

1

0

null

0

null

0

1

0

1

0

4

2e04f5aa57dd7107f298cd496746f349ecae5039

78

py

Python

Chapter03/06_wav.py

PacktPublishing/MicroPython-Cookbook

ffd6aa15c303459570a89ba31b5bc734f05cb387

[ "MIT" ]

16

2019-07-01T16:24:22.000Z

2022-03-03T06:54:57.000Z

Chapter03/06_wav.py

ccwu0918/MicroPython-Cookbook

ffd6aa15c303459570a89ba31b5bc734f05cb387

[ "MIT" ]

null

Chapter03/06_wav.py

ccwu0918/MicroPython-Cookbook

ffd6aa15c303459570a89ba31b5bc734f05cb387

[ "MIT" ]

19

2019-04-17T08:30:12.000Z

2022-01-14T03:05:37.000Z

from adafruit_circuitplayground.express import cpx cpx.play_file('hello.wav')

26

50

0.846154

11

78

5.818182

0.909091

0

0.064103

78

2

51

39

0.876712

0

0.115385

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2e5982c95825be5c72c966871d4fe0f6664d06d7

131

py

Python

dlsitebackup/__init__.py

heshuiiii/dlsitebackup

e97560660407e971801db3d84b1d31fb3fca496f

[ "MIT" ]

1

2021-11-21T05:53:33.000Z

dlsitebackup/__init__.py

heshuiiii/dlsitebackup

e97560660407e971801db3d84b1d31fb3fca496f

[ "MIT" ]

null

dlsitebackup/__init__.py

heshuiiii/dlsitebackup

e97560660407e971801db3d84b1d31fb3fca496f

[ "MIT" ]

1

2021-07-23T07:47:24.000Z

21.833333

51

0.717557

17

131

5.529412

0.941176

0

0.037383

0.183206

131

5

52

26.2

0.841122

0.885496

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

2e5dcdeb8e9185dfc4981cc63def6405931ea889

246

py

Python

plugins/auth/crypto/algo_base.py

UltrosBot/Ultros

639efc11f73ebf7e8f47f0554aced00a559d9e2d

[ "Artistic-2.0" ]

16

2015-01-02T00:16:11.000Z

2019-06-03T06:23:11.000Z

plugins/auth/crypto/algo_base.py

UltrosBot/Ultros

639efc11f73ebf7e8f47f0554aced00a559d9e2d

[ "Artistic-2.0" ]

31

2015-01-18T12:14:53.000Z

2018-01-07T13:32:29.000Z

plugins/auth/crypto/algo_base.py

UltrosBot/Ultros

639efc11f73ebf7e8f47f0554aced00a559d9e2d

[ "Artistic-2.0" ]

9

2015-02-13T09:38:53.000Z

2020-11-29T19:59:32.000Z

# coding=utf-8 __author__ = 'Gareth Coles' class BaseAlgorithm(object): def hash(self, value, salt): pass def check(self, hash, value, salt): return hash == self.hash(value, salt) def gen_salt(self): pass

16.4

45

0.609756

32

246

4.53125

0.5625

0.186207

0.17931

0.234483

0

0.005587

0.272358

246

14

46

17.571429

0.804469

0.04878

0

0.25

0

0.051724

0

1

0.375

false

0.25

0

0.125

0.625

0

null

0

1

0

null

0

1

0

1

0

1

0

4

cf109f2045a9e78f459c18a01d8e7b10f2fa5fac

142

py

Python

vendor/timezones/timezones_tests/__init__.py

Paul3MK/NewsBlur

f912d100c2867e5366fca92abadc50d4253a41d8

[ "MIT" ]

3,073

2015-01-01T07:20:18.000Z

2022-03-31T20:33:41.000Z

vendor/timezones/timezones_tests/__init__.py

Paul3MK/NewsBlur

f912d100c2867e5366fca92abadc50d4253a41d8

[ "MIT" ]

1,054

2015-01-02T13:32:35.000Z

2022-03-30T04:21:21.000Z

vendor/timezones/timezones_tests/__init__.py

Paul3MK/NewsBlur

f912d100c2867e5366fca92abadc50d4253a41d8

[ "MIT" ]

676

2015-01-03T16:40:29.000Z

2022-03-30T14:00:40.000Z

# the sad reality of Django app testing. not naming this module "tests" # because of possible collision of other apps that do a similar thing.

71

0.78169

24

142

4.625

0.916667

0

0.176056

142

2

72

71

0.948718

0.971831

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

cf44d6ff569607c404684cfb6865d276b62de98d

300

py

Python

Supervised_Learning/Modules/activation_function.py

YulinLi98/Sample_INDE_Repo

290a295e1dd5c46aaec2a380a2c98b2e96820fcd

[ "MIT" ]

null

Supervised_Learning/Modules/activation_function.py

YulinLi98/Sample_INDE_Repo

290a295e1dd5c46aaec2a380a2c98b2e96820fcd

[ "MIT" ]

null

Supervised_Learning/Modules/activation_function.py

YulinLi98/Sample_INDE_Repo

290a295e1dd5c46aaec2a380a2c98b2e96820fcd

[ "MIT" ]

null

import numpy as np __all__ = ["sign_activation", "linear_regression_activation", "sigmoid_activation"] def sign_activation(z): return np.sign(z) def linear_regression_activation(z): return z def sigmoid_activation(z): return 1.0/(1.0 + np.exp(-z))

20

43

0.64

39

300

4.615385

0.410256

0.183333

0.283333

0

0.017778

0.25

300

14

44

21.428571

0.782222

0

0.203333

0.093333

0

1

0.3

false

0

0.1

0.3

0.7

0

null

0

1

0

null

0

1

0

1

0

4

d84475a50bb36c00c50e92e7ee964cbce508b5e4

43

py

Python

imutils/ml/aug/image/__init__.py

JacobARose/image-utils

aa0e005c0b4df5198d188b074f4e21f8d8f97962

[ "MIT" ]

null

imutils/ml/aug/image/__init__.py

JacobARose/image-utils

aa0e005c0b4df5198d188b074f4e21f8d8f97962

[ "MIT" ]

null

imutils/ml/aug/image/__init__.py

JacobARose/image-utils

aa0e005c0b4df5198d188b074f4e21f8d8f97962

[ "MIT" ]

null

""" imutils/ml/aug/image/__init__.py """

7.166667

32

0.627907

6

43

3.833333

1

0

0.116279

43

5

33

8.6

0.605263

0.744186

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

d84a178baf74e6a167bced257bde67f8983eb839

79

py

Python

caer/setup.py

fossabot/caer

9151a8f3f6a04d2551454969767331a6c1a7bbde

[ "MIT" ]

3

2021-01-23T19:53:28.000Z

2021-01-23T19:53:53.000Z

caer/setup.py

fossabot/caer

9151a8f3f6a04d2551454969767331a6c1a7bbde

[ "MIT" ]

null

caer/setup.py

fossabot/caer

9151a8f3f6a04d2551454969767331a6c1a7bbde

[ "MIT" ]

null

if __name__ == '__main__': print('This is the wrong setup.py file to run')

26.333333

51

0.670886

13

79

3.461538

1

0

0.202532

79

2

52

39.5

0.714286

0

0.582278

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

d89a43032a608c6a4dda4f8de980c0f74128e59e

168,698

py

Python

esociallib/v2_04/evtTabRubrica.py

akretion/esociallib

2472d68b45610638cf10d87aeed48b917ebae6d8

[ "MIT" ]

6

2018-02-16T09:59:35.000Z

2021-09-01T20:40:02.000Z

esociallib/v2_04/evtTabRubrica.py

akretion/esociallib

2472d68b45610638cf10d87aeed48b917ebae6d8

[ "MIT" ]

2

2018-02-02T19:32:21.000Z

2019-01-25T14:43:05.000Z

esociallib/v2_04/evtTabRubrica.py

akretion/esociallib

2472d68b45610638cf10d87aeed48b917ebae6d8

[ "MIT" ]

2

2018-05-03T17:16:38.000Z

2021-04-02T19:17:31.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated Tue Oct 10 00:42:27 2017 by generateDS.py version 2.28b. # Python 2.7.12 (default, Nov 19 2016, 06:48:10) [GCC 5.4.0 20160609] # # Command line options: # ('--no-process-includes', '') # ('-o', 'esociallib/v2_04/evtTabRubrica.py') # # Command line arguments: # schemas/v2_04/evtTabRubrica.xsd # # Command line: # /usr/local/bin/generateDS --no-process-includes -o "esociallib/v2_04/evtTabRubrica.py" schemas/v2_04/evtTabRubrica.xsd # # Current working directory (os.getcwd()): # esociallib # import sys import re as re_ import base64 import datetime as datetime_ import warnings as warnings_ try: from lxml import etree as etree_ except ImportError: from xml.etree import ElementTree as etree_ Validate_simpletypes_ = True if sys.version_info.major == 2: BaseStrType_ = basestring else: BaseStrType_ = str def parsexml_(infile, parser=None, **kwargs): if parser is None: # Use the lxml ElementTree compatible parser so that, e.g., # we ignore comments. try: parser = etree_.ETCompatXMLParser() except AttributeError: # fallback to xml.etree parser = etree_.XMLParser() doc = etree_.parse(infile, parser=parser, **kwargs) return doc # # Namespace prefix definition table (and other attributes, too) # # The module generatedsnamespaces, if it is importable, must contain # a dictionary named GeneratedsNamespaceDefs. This Python dictionary # should map element type names (strings) to XML schema namespace prefix # definitions. The export method for any class for which there is # a namespace prefix definition, will export that definition in the # XML representation of that element. See the export method of # any generated element type class for a example of the use of this # table. # A sample table is: # # # File: generatedsnamespaces.py # # GenerateDSNamespaceDefs = { # "ElementtypeA": "http://www.xxx.com/namespaceA", # "ElementtypeB": "http://www.xxx.com/namespaceB", # } # try: from generatedsnamespaces import GenerateDSNamespaceDefs as GenerateDSNamespaceDefs_ except ImportError: GenerateDSNamespaceDefs_ = {} # # The root super-class for element type classes # # Calls to the methods in these classes are generated by generateDS.py. # You can replace these methods by re-implementing the following class # in a module named generatedssuper.py. try: from generatedssuper import GeneratedsSuper except ImportError as exp: class GeneratedsSuper(object): tzoff_pattern = re_.compile(r'(\+|-)((0\d|1[0-3]):[0-5]\d|14:00)$') class _FixedOffsetTZ(datetime_.tzinfo): def __init__(self, offset, name): self.__offset = datetime_.timedelta(minutes=offset) self.__name = name def utcoffset(self, dt): return self.__offset def tzname(self, dt): return self.__name def dst(self, dt): return None def gds_format_string(self, input_data, input_name=''): return input_data def gds_validate_string(self, input_data, node=None, input_name=''): if not input_data: return '' else: return input_data def gds_format_base64(self, input_data, input_name=''): return base64.b64encode(input_data) def gds_validate_base64(self, input_data, node=None, input_name=''): return input_data def gds_format_integer(self, input_data, input_name=''): return '%d' % input_data def gds_validate_integer(self, input_data, node=None, input_name=''): return input_data def gds_format_integer_list(self, input_data, input_name=''): return '%s' % ' '.join(input_data) def gds_validate_integer_list( self, input_data, node=None, input_name=''): values = input_data.split() for value in values: try: int(value) except (TypeError, ValueError): raise_parse_error(node, 'Requires sequence of integers') return values def gds_format_float(self, input_data, input_name=''): return ('%.15f' % input_data).rstrip('0') def gds_validate_float(self, input_data, node=None, input_name=''): return input_data def gds_format_float_list(self, input_data, input_name=''): return '%s' % ' '.join(input_data) def gds_validate_float_list( self, input_data, node=None, input_name=''): values = input_data.split() for value in values: try: float(value) except (TypeError, ValueError): raise_parse_error(node, 'Requires sequence of floats') return values def gds_format_double(self, input_data, input_name=''): return '%e' % input_data def gds_validate_double(self, input_data, node=None, input_name=''): return input_data def gds_format_double_list(self, input_data, input_name=''): return '%s' % ' '.join(input_data) def gds_validate_double_list( self, input_data, node=None, input_name=''): values = input_data.split() for value in values: try: float(value) except (TypeError, ValueError): raise_parse_error(node, 'Requires sequence of doubles') return values def gds_format_boolean(self, input_data, input_name=''): return ('%s' % input_data).lower() def gds_validate_boolean(self, input_data, node=None, input_name=''): return input_data def gds_format_boolean_list(self, input_data, input_name=''): return '%s' % ' '.join(input_data) def gds_validate_boolean_list( self, input_data, node=None, input_name=''): values = input_data.split() for value in values: if value not in ('true', '1', 'false', '0', ): raise_parse_error( node, 'Requires sequence of booleans ' '("true", "1", "false", "0")') return values def gds_validate_datetime(self, input_data, node=None, input_name=''): return input_data def gds_format_datetime(self, input_data, input_name=''): if input_data.microsecond == 0: _svalue = '%04d-%02d-%02dT%02d:%02d:%02d' % ( input_data.year, input_data.month, input_data.day, input_data.hour, input_data.minute, input_data.second, ) else: _svalue = '%04d-%02d-%02dT%02d:%02d:%02d.%s' % ( input_data.year, input_data.month, input_data.day, input_data.hour, input_data.minute, input_data.second, ('%f' % (float(input_data.microsecond) / 1000000))[2:], ) if input_data.tzinfo is not None: tzoff = input_data.tzinfo.utcoffset(input_data) if tzoff is not None: total_seconds = tzoff.seconds + (86400 * tzoff.days) if total_seconds == 0: _svalue += 'Z' else: if total_seconds < 0: _svalue += '-' total_seconds *= -1 else: _svalue += '+' hours = total_seconds // 3600 minutes = (total_seconds - (hours * 3600)) // 60 _svalue += '{0:02d}:{1:02d}'.format(hours, minutes) return _svalue @classmethod def gds_parse_datetime(cls, input_data): tz = None if input_data[-1] == 'Z': tz = GeneratedsSuper._FixedOffsetTZ(0, 'UTC') input_data = input_data[:-1] else: results = GeneratedsSuper.tzoff_pattern.search(input_data) if results is not None: tzoff_parts = results.group(2).split(':') tzoff = int(tzoff_parts[0]) * 60 + int(tzoff_parts[1]) if results.group(1) == '-': tzoff *= -1 tz = GeneratedsSuper._FixedOffsetTZ( tzoff, results.group(0)) input_data = input_data[:-6] time_parts = input_data.split('.') if len(time_parts) > 1: micro_seconds = int(float('0.' + time_parts[1]) * 1000000) input_data = '%s.%s' % (time_parts[0], micro_seconds, ) dt = datetime_.datetime.strptime( input_data, '%Y-%m-%dT%H:%M:%S.%f') else: dt = datetime_.datetime.strptime( input_data, '%Y-%m-%dT%H:%M:%S') dt = dt.replace(tzinfo=tz) return dt def gds_validate_date(self, input_data, node=None, input_name=''): return input_data def gds_format_date(self, input_data, input_name=''): _svalue = '%04d-%02d-%02d' % ( input_data.year, input_data.month, input_data.day, ) try: if input_data.tzinfo is not None: tzoff = input_data.tzinfo.utcoffset(input_data) if tzoff is not None: total_seconds = tzoff.seconds + (86400 * tzoff.days) if total_seconds == 0: _svalue += 'Z' else: if total_seconds < 0: _svalue += '-' total_seconds *= -1 else: _svalue += '+' hours = total_seconds // 3600 minutes = (total_seconds - (hours * 3600)) // 60 _svalue += '{0:02d}:{1:02d}'.format( hours, minutes) except AttributeError: pass return _svalue @classmethod def gds_parse_date(cls, input_data): tz = None if input_data[-1] == 'Z': tz = GeneratedsSuper._FixedOffsetTZ(0, 'UTC') input_data = input_data[:-1] else: results = GeneratedsSuper.tzoff_pattern.search(input_data) if results is not None: tzoff_parts = results.group(2).split(':') tzoff = int(tzoff_parts[0]) * 60 + int(tzoff_parts[1]) if results.group(1) == '-': tzoff *= -1 tz = GeneratedsSuper._FixedOffsetTZ( tzoff, results.group(0)) input_data = input_data[:-6] dt = datetime_.datetime.strptime(input_data, '%Y-%m-%d') dt = dt.replace(tzinfo=tz) return dt.date() def gds_validate_time(self, input_data, node=None, input_name=''): return input_data def gds_format_time(self, input_data, input_name=''): if input_data.microsecond == 0: _svalue = '%02d:%02d:%02d' % ( input_data.hour, input_data.minute, input_data.second, ) else: _svalue = '%02d:%02d:%02d.%s' % ( input_data.hour, input_data.minute, input_data.second, ('%f' % (float(input_data.microsecond) / 1000000))[2:], ) if input_data.tzinfo is not None: tzoff = input_data.tzinfo.utcoffset(input_data) if tzoff is not None: total_seconds = tzoff.seconds + (86400 * tzoff.days) if total_seconds == 0: _svalue += 'Z' else: if total_seconds < 0: _svalue += '-' total_seconds *= -1 else: _svalue += '+' hours = total_seconds // 3600 minutes = (total_seconds - (hours * 3600)) // 60 _svalue += '{0:02d}:{1:02d}'.format(hours, minutes) return _svalue def gds_validate_simple_patterns(self, patterns, target): # pat is a list of lists of strings/patterns. We should: # - AND the outer elements # - OR the inner elements found1 = True for patterns1 in patterns: found2 = False for patterns2 in patterns1: if re_.search(patterns2, target) is not None: found2 = True break if not found2: found1 = False break return found1 @classmethod def gds_parse_time(cls, input_data): tz = None if input_data[-1] == 'Z': tz = GeneratedsSuper._FixedOffsetTZ(0, 'UTC') input_data = input_data[:-1] else: results = GeneratedsSuper.tzoff_pattern.search(input_data) if results is not None: tzoff_parts = results.group(2).split(':') tzoff = int(tzoff_parts[0]) * 60 + int(tzoff_parts[1]) if results.group(1) == '-': tzoff *= -1 tz = GeneratedsSuper._FixedOffsetTZ( tzoff, results.group(0)) input_data = input_data[:-6] if len(input_data.split('.')) > 1: dt = datetime_.datetime.strptime(input_data, '%H:%M:%S.%f') else: dt = datetime_.datetime.strptime(input_data, '%H:%M:%S') dt = dt.replace(tzinfo=tz) return dt.time() def gds_str_lower(self, instring): return instring.lower() def get_path_(self, node): path_list = [] self.get_path_list_(node, path_list) path_list.reverse() path = '/'.join(path_list) return path Tag_strip_pattern_ = re_.compile(r'\{.*\}') def get_path_list_(self, node, path_list): if node is None: return tag = GeneratedsSuper.Tag_strip_pattern_.sub('', node.tag) if tag: path_list.append(tag) self.get_path_list_(node.getparent(), path_list) def get_class_obj_(self, node, default_class=None): class_obj1 = default_class if 'xsi' in node.nsmap: classname = node.get('{%s}type' % node.nsmap['xsi']) if classname is not None: names = classname.split(':') if len(names) == 2: classname = names[1] class_obj2 = globals().get(classname) if class_obj2 is not None: class_obj1 = class_obj2 return class_obj1 def gds_build_any(self, node, type_name=None): return None @classmethod def gds_reverse_node_mapping(cls, mapping): return dict(((v, k) for k, v in mapping.iteritems())) @staticmethod def gds_encode(instring): if sys.version_info.major == 2: return instring.encode(ExternalEncoding) else: return instring @staticmethod def convert_unicode(instring): if isinstance(instring, str): result = quote_xml(instring) elif sys.version_info.major == 2 and isinstance(instring, unicode): result = quote_xml(instring).encode('utf8') else: result = GeneratedsSuper.gds_encode(str(instring)) return result def __eq__(self, other): if type(self) != type(other): return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self.__eq__(other) def getSubclassFromModule_(module, class_): '''Get the subclass of a class from a specific module.''' name = class_.__name__ + 'Sub' if hasattr(module, name): return getattr(module, name) else: return None # # If you have installed IPython you can uncomment and use the following. # IPython is available from http://ipython.scipy.org/. # ## from IPython.Shell import IPShellEmbed ## args = '' ## ipshell = IPShellEmbed(args, ## banner = 'Dropping into IPython', ## exit_msg = 'Leaving Interpreter, back to program.') # Then use the following line where and when you want to drop into the # IPython shell: # ipshell('<some message> -- Entering ipshell.\nHit Ctrl-D to exit') # # Globals # ExternalEncoding = 'ascii' Tag_pattern_ = re_.compile(r'({.*})?(.*)') String_cleanup_pat_ = re_.compile(r"[\n\r\s]+") Namespace_extract_pat_ = re_.compile(r'{(.*)}(.*)') CDATA_pattern_ = re_.compile(r"<!\[CDATA\[.*?\]\]>", re_.DOTALL) # Change this to redirect the generated superclass module to use a # specific subclass module. CurrentSubclassModule_ = None # # Support/utility functions. # def showIndent(outfile, level, pretty_print=True): if pretty_print: for idx in range(level): outfile.write(' ') def quote_xml(inStr): "Escape markup chars, but do not modify CDATA sections." if not inStr: return '' s1 = (isinstance(inStr, BaseStrType_) and inStr or '%s' % inStr) s2 = '' pos = 0 matchobjects = CDATA_pattern_.finditer(s1) for mo in matchobjects: s3 = s1[pos:mo.start()] s2 += quote_xml_aux(s3) s2 += s1[mo.start():mo.end()] pos = mo.end() s3 = s1[pos:] s2 += quote_xml_aux(s3) return s2 def quote_xml_aux(inStr): s1 = inStr.replace('&', '&') s1 = s1.replace('<', '<') s1 = s1.replace('>', '>') return s1 def quote_attrib(inStr): s1 = (isinstance(inStr, BaseStrType_) and inStr or '%s' % inStr) s1 = s1.replace('&', '&') s1 = s1.replace('<', '<') s1 = s1.replace('>', '>') if '"' in s1: if "'" in s1: s1 = '"%s"' % s1.replace('"', """) else: s1 = "'%s'" % s1 else: s1 = '"%s"' % s1 return s1 def quote_python(inStr): s1 = inStr if s1.find("'") == -1: if s1.find('\n') == -1: return "'%s'" % s1 else: return "'''%s'''" % s1 else: if s1.find('"') != -1: s1 = s1.replace('"', '\\"') if s1.find('\n') == -1: return '"%s"' % s1 else: return '"""%s"""' % s1 def get_all_text_(node): if node.text is not None: text = node.text else: text = '' for child in node: if child.tail is not None: text += child.tail return text def find_attr_value_(attr_name, node): attrs = node.attrib attr_parts = attr_name.split(':') value = None if len(attr_parts) == 1: value = attrs.get(attr_name) elif len(attr_parts) == 2: prefix, name = attr_parts namespace = node.nsmap.get(prefix) if namespace is not None: value = attrs.get('{%s}%s' % (namespace, name, )) return value class GDSParseError(Exception): pass def raise_parse_error(node, msg): msg = '%s (element %s/line %d)' % (msg, node.tag, node.sourceline, ) raise GDSParseError(msg) class MixedContainer: # Constants for category: CategoryNone = 0 CategoryText = 1 CategorySimple = 2 CategoryComplex = 3 # Constants for content_type: TypeNone = 0 TypeText = 1 TypeString = 2 TypeInteger = 3 TypeFloat = 4 TypeDecimal = 5 TypeDouble = 6 TypeBoolean = 7 TypeBase64 = 8 def __init__(self, category, content_type, name, value): self.category = category self.content_type = content_type self.name = name self.value = value def getCategory(self): return self.category def getContenttype(self, content_type): return self.content_type def getValue(self): return self.value def getName(self): return self.name def export(self, outfile, level, name, namespace, pretty_print=True): if self.category == MixedContainer.CategoryText: # Prevent exporting empty content as empty lines. if self.value.strip(): outfile.write(self.value) elif self.category == MixedContainer.CategorySimple: self.exportSimple(outfile, level, name) else: # category == MixedContainer.CategoryComplex self.value.export( outfile, level, namespace, name, pretty_print=pretty_print) def exportSimple(self, outfile, level, name): if self.content_type == MixedContainer.TypeString: outfile.write('<%s>%s</%s>' % ( self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeInteger or \ self.content_type == MixedContainer.TypeBoolean: outfile.write('<%s>%d</%s>' % ( self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeFloat or \ self.content_type == MixedContainer.TypeDecimal: outfile.write('<%s>%f</%s>' % ( self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeDouble: outfile.write('<%s>%g</%s>' % ( self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeBase64: outfile.write('<%s>%s</%s>' % ( self.name, base64.b64encode(self.value), self.name)) def to_etree(self, element): if self.category == MixedContainer.CategoryText: # Prevent exporting empty content as empty lines. if self.value.strip(): if len(element) > 0: if element[-1].tail is None: element[-1].tail = self.value else: element[-1].tail += self.value else: if element.text is None: element.text = self.value else: element.text += self.value elif self.category == MixedContainer.CategorySimple: subelement = etree_.SubElement( element, '%s' % self.name) subelement.text = self.to_etree_simple() else: # category == MixedContainer.CategoryComplex self.value.to_etree(element) def to_etree_simple(self): if self.content_type == MixedContainer.TypeString: text = self.value elif (self.content_type == MixedContainer.TypeInteger or self.content_type == MixedContainer.TypeBoolean): text = '%d' % self.value elif (self.content_type == MixedContainer.TypeFloat or self.content_type == MixedContainer.TypeDecimal): text = '%f' % self.value elif self.content_type == MixedContainer.TypeDouble: text = '%g' % self.value elif self.content_type == MixedContainer.TypeBase64: text = '%s' % base64.b64encode(self.value) return text def exportLiteral(self, outfile, level, name): if self.category == MixedContainer.CategoryText: showIndent(outfile, level) outfile.write( 'model_.MixedContainer(%d, %d, "%s", "%s"),\n' % ( self.category, self.content_type, self.name, self.value)) elif self.category == MixedContainer.CategorySimple: showIndent(outfile, level) outfile.write( 'model_.MixedContainer(%d, %d, "%s", "%s"),\n' % ( self.category, self.content_type, self.name, self.value)) else: # category == MixedContainer.CategoryComplex showIndent(outfile, level) outfile.write( 'model_.MixedContainer(%d, %d, "%s",\n' % ( self.category, self.content_type, self.name,)) self.value.exportLiteral(outfile, level + 1) showIndent(outfile, level) outfile.write(')\n') class MemberSpec_(object): def __init__(self, name='', data_type='', container=0, optional=0, child_attrs=None, choice=None): self.name = name self.data_type = data_type self.container = container self.child_attrs = child_attrs self.choice = choice self.optional = optional def set_name(self, name): self.name = name def get_name(self): return self.name def set_data_type(self, data_type): self.data_type = data_type def get_data_type_chain(self): return self.data_type def get_data_type(self): if isinstance(self.data_type, list): if len(self.data_type) > 0: return self.data_type[-1] else: return 'xs:string' else: return self.data_type def set_container(self, container): self.container = container def get_container(self): return self.container def set_child_attrs(self, child_attrs): self.child_attrs = child_attrs def get_child_attrs(self): return self.child_attrs def set_choice(self, choice): self.choice = choice def get_choice(self): return self.choice def set_optional(self, optional): self.optional = optional def get_optional(self): return self.optional def _cast(typ, value): if typ is None or value is None: return value return typ(value) # # Data representation classes. # class eSocial(GeneratedsSuper): subclass = None superclass = None def __init__(self, evtTabRubrica=None, Signature=None): self.original_tagname_ = None self.evtTabRubrica = evtTabRubrica self.Signature = Signature def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, eSocial) if subclass is not None: return subclass(*args_, **kwargs_) if eSocial.subclass: return eSocial.subclass(*args_, **kwargs_) else: return eSocial(*args_, **kwargs_) factory = staticmethod(factory) def get_evtTabRubrica(self): return self.evtTabRubrica def set_evtTabRubrica(self, evtTabRubrica): self.evtTabRubrica = evtTabRubrica def get_Signature(self): return self.Signature def set_Signature(self, Signature): self.Signature = Signature def hasContent_(self): if ( self.evtTabRubrica is not None or self.Signature is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='eSocial', namespacedef_=' xmlns:ds="http://www.w3.org/2000/09/xmldsig#" ', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('eSocial') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='eSocial') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='eSocial', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='eSocial'): pass def exportChildren(self, outfile, level, namespace_='', name_='eSocial', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.evtTabRubrica is not None: self.evtTabRubrica.export(outfile, level, namespace_, name_='evtTabRubrica', pretty_print=pretty_print) if self.Signature is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sSignature>%s</%sSignature>%s' % ('ds:', self.gds_encode(self.gds_format_string(quote_xml(self.Signature), input_name='Signature')), 'ds:', eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'evtTabRubrica': obj_ = evtTabRubrica.factory() obj_.build(child_) self.evtTabRubrica = obj_ obj_.original_tagname_ = 'evtTabRubrica' elif nodeName_ == 'Signature': Signature_ = child_.text Signature_ = self.gds_validate_string(Signature_, node, 'Signature') self.Signature = Signature_ # end class eSocial class evtTabRubrica(GeneratedsSuper): """Evento destinado a incluir, alterar ou excluir informações da tabela de rubricas""" subclass = None superclass = None def __init__(self, Id=None, ideEvento=None, ideEmpregador=None, infoRubrica=None): self.original_tagname_ = None self.Id = _cast(None, Id) self.ideEvento = ideEvento self.ideEmpregador = ideEmpregador self.infoRubrica = infoRubrica def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, evtTabRubrica) if subclass is not None: return subclass(*args_, **kwargs_) if evtTabRubrica.subclass: return evtTabRubrica.subclass(*args_, **kwargs_) else: return evtTabRubrica(*args_, **kwargs_) factory = staticmethod(factory) def get_ideEvento(self): return self.ideEvento def set_ideEvento(self, ideEvento): self.ideEvento = ideEvento def get_ideEmpregador(self): return self.ideEmpregador def set_ideEmpregador(self, ideEmpregador): self.ideEmpregador = ideEmpregador def get_infoRubrica(self): return self.infoRubrica def set_infoRubrica(self, infoRubrica): self.infoRubrica = infoRubrica def get_Id(self): return self.Id def set_Id(self, Id): self.Id = Id def hasContent_(self): if ( self.ideEvento is not None or self.ideEmpregador is not None or self.infoRubrica is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='evtTabRubrica', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('evtTabRubrica') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='evtTabRubrica') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='evtTabRubrica', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='evtTabRubrica'): if self.Id is not None and 'Id' not in already_processed: already_processed.add('Id') outfile.write(' Id=%s' % (self.gds_encode(self.gds_format_string(quote_attrib(self.Id), input_name='Id')), )) def exportChildren(self, outfile, level, namespace_='', name_='evtTabRubrica', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.ideEvento is not None: self.ideEvento.export(outfile, level, namespace_, name_='ideEvento', pretty_print=pretty_print) if self.ideEmpregador is not None: self.ideEmpregador.export(outfile, level, namespace_, name_='ideEmpregador', pretty_print=pretty_print) if self.infoRubrica is not None: self.infoRubrica.export(outfile, level, namespace_, name_='infoRubrica', pretty_print=pretty_print) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('Id', node) if value is not None and 'Id' not in already_processed: already_processed.add('Id') self.Id = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'ideEvento': obj_ = TIdeCadastro.factory() obj_.build(child_) self.ideEvento = obj_ obj_.original_tagname_ = 'ideEvento' elif nodeName_ == 'ideEmpregador': obj_ = TEmpregador.factory() obj_.build(child_) self.ideEmpregador = obj_ obj_.original_tagname_ = 'ideEmpregador' elif nodeName_ == 'infoRubrica': obj_ = infoRubrica.factory() obj_.build(child_) self.infoRubrica = obj_ obj_.original_tagname_ = 'infoRubrica' # end class evtTabRubrica class infoRubrica(GeneratedsSuper): """Identificação da operação (inclusão, alteração ou exclusão) e das informações da rubrica.""" subclass = None superclass = None def __init__(self, inclusao=None, alteracao=None, exclusao=None): self.original_tagname_ = None self.inclusao = inclusao self.alteracao = alteracao self.exclusao = exclusao def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, infoRubrica) if subclass is not None: return subclass(*args_, **kwargs_) if infoRubrica.subclass: return infoRubrica.subclass(*args_, **kwargs_) else: return infoRubrica(*args_, **kwargs_) factory = staticmethod(factory) def get_inclusao(self): return self.inclusao def set_inclusao(self, inclusao): self.inclusao = inclusao def get_alteracao(self): return self.alteracao def set_alteracao(self, alteracao): self.alteracao = alteracao def get_exclusao(self): return self.exclusao def set_exclusao(self, exclusao): self.exclusao = exclusao def hasContent_(self): if ( self.inclusao is not None or self.alteracao is not None or self.exclusao is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='infoRubrica', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('infoRubrica') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='infoRubrica') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='infoRubrica', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='infoRubrica'): pass def exportChildren(self, outfile, level, namespace_='', name_='infoRubrica', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.inclusao is not None: self.inclusao.export(outfile, level, namespace_, name_='inclusao', pretty_print=pretty_print) if self.alteracao is not None: self.alteracao.export(outfile, level, namespace_, name_='alteracao', pretty_print=pretty_print) if self.exclusao is not None: self.exclusao.export(outfile, level, namespace_, name_='exclusao', pretty_print=pretty_print) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'inclusao': obj_ = inclusao.factory() obj_.build(child_) self.inclusao = obj_ obj_.original_tagname_ = 'inclusao' elif nodeName_ == 'alteracao': obj_ = alteracao.factory() obj_.build(child_) self.alteracao = obj_ obj_.original_tagname_ = 'alteracao' elif nodeName_ == 'exclusao': obj_ = exclusao.factory() obj_.build(child_) self.exclusao = obj_ obj_.original_tagname_ = 'exclusao' # end class infoRubrica class inclusao(GeneratedsSuper): """Inclusão de novas informações""" subclass = None superclass = None def __init__(self, ideRubrica=None, dadosRubrica=None): self.original_tagname_ = None self.ideRubrica = ideRubrica self.dadosRubrica = dadosRubrica def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, inclusao) if subclass is not None: return subclass(*args_, **kwargs_) if inclusao.subclass: return inclusao.subclass(*args_, **kwargs_) else: return inclusao(*args_, **kwargs_) factory = staticmethod(factory) def get_ideRubrica(self): return self.ideRubrica def set_ideRubrica(self, ideRubrica): self.ideRubrica = ideRubrica def get_dadosRubrica(self): return self.dadosRubrica def set_dadosRubrica(self, dadosRubrica): self.dadosRubrica = dadosRubrica def hasContent_(self): if ( self.ideRubrica is not None or self.dadosRubrica is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='inclusao', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('inclusao') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='inclusao') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='inclusao', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='inclusao'): pass def exportChildren(self, outfile, level, namespace_='', name_='inclusao', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.ideRubrica is not None: self.ideRubrica.export(outfile, level, namespace_, name_='ideRubrica', pretty_print=pretty_print) if self.dadosRubrica is not None: self.dadosRubrica.export(outfile, level, namespace_, name_='dadosRubrica', pretty_print=pretty_print) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'ideRubrica': obj_ = TIdeRubrica.factory() obj_.build(child_) self.ideRubrica = obj_ obj_.original_tagname_ = 'ideRubrica' elif nodeName_ == 'dadosRubrica': obj_ = TDadosRubrica.factory() obj_.build(child_) self.dadosRubrica = obj_ obj_.original_tagname_ = 'dadosRubrica' # end class inclusao class alteracao(GeneratedsSuper): """Alteração de informações já existentes""" subclass = None superclass = None def __init__(self, ideRubrica=None, dadosRubrica=None, novaValidade=None): self.original_tagname_ = None self.ideRubrica = ideRubrica self.dadosRubrica = dadosRubrica self.novaValidade = novaValidade def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, alteracao) if subclass is not None: return subclass(*args_, **kwargs_) if alteracao.subclass: return alteracao.subclass(*args_, **kwargs_) else: return alteracao(*args_, **kwargs_) factory = staticmethod(factory) def get_ideRubrica(self): return self.ideRubrica def set_ideRubrica(self, ideRubrica): self.ideRubrica = ideRubrica def get_dadosRubrica(self): return self.dadosRubrica def set_dadosRubrica(self, dadosRubrica): self.dadosRubrica = dadosRubrica def get_novaValidade(self): return self.novaValidade def set_novaValidade(self, novaValidade): self.novaValidade = novaValidade def hasContent_(self): if ( self.ideRubrica is not None or self.dadosRubrica is not None or self.novaValidade is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='alteracao', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('alteracao') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='alteracao') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='alteracao', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='alteracao'): pass def exportChildren(self, outfile, level, namespace_='', name_='alteracao', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.ideRubrica is not None: self.ideRubrica.export(outfile, level, namespace_, name_='ideRubrica', pretty_print=pretty_print) if self.dadosRubrica is not None: self.dadosRubrica.export(outfile, level, namespace_, name_='dadosRubrica', pretty_print=pretty_print) if self.novaValidade is not None: self.novaValidade.export(outfile, level, namespace_, name_='novaValidade', pretty_print=pretty_print) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'ideRubrica': obj_ = TIdeRubrica.factory() obj_.build(child_) self.ideRubrica = obj_ obj_.original_tagname_ = 'ideRubrica' elif nodeName_ == 'dadosRubrica': obj_ = TDadosRubrica.factory() obj_.build(child_) self.dadosRubrica = obj_ obj_.original_tagname_ = 'dadosRubrica' elif nodeName_ == 'novaValidade': obj_ = TPeriodoValidade.factory() obj_.build(child_) self.novaValidade = obj_ obj_.original_tagname_ = 'novaValidade' # end class alteracao class exclusao(GeneratedsSuper): """Exclusão de informações""" subclass = None superclass = None def __init__(self, ideRubrica=None): self.original_tagname_ = None self.ideRubrica = ideRubrica def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, exclusao) if subclass is not None: return subclass(*args_, **kwargs_) if exclusao.subclass: return exclusao.subclass(*args_, **kwargs_) else: return exclusao(*args_, **kwargs_) factory = staticmethod(factory) def get_ideRubrica(self): return self.ideRubrica def set_ideRubrica(self, ideRubrica): self.ideRubrica = ideRubrica def hasContent_(self): if ( self.ideRubrica is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='exclusao', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('exclusao') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='exclusao') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='exclusao', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='exclusao'): pass def exportChildren(self, outfile, level, namespace_='', name_='exclusao', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.ideRubrica is not None: self.ideRubrica.export(outfile, level, namespace_, name_='ideRubrica', pretty_print=pretty_print) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'ideRubrica': obj_ = TIdeRubrica.factory() obj_.build(child_) self.ideRubrica = obj_ obj_.original_tagname_ = 'ideRubrica' # end class exclusao class TIdeCadastro(GeneratedsSuper): """Identificação de evento de cadastro/tabelas""" subclass = None superclass = None def __init__(self, tpAmb=None, procEmi=None, verProc=None): self.original_tagname_ = None self.tpAmb = tpAmb self.procEmi = procEmi self.verProc = verProc def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TIdeCadastro) if subclass is not None: return subclass(*args_, **kwargs_) if TIdeCadastro.subclass: return TIdeCadastro.subclass(*args_, **kwargs_) else: return TIdeCadastro(*args_, **kwargs_) factory = staticmethod(factory) def get_tpAmb(self): return self.tpAmb def set_tpAmb(self, tpAmb): self.tpAmb = tpAmb def get_procEmi(self): return self.procEmi def set_procEmi(self, procEmi): self.procEmi = procEmi def get_verProc(self): return self.verProc def set_verProc(self, verProc): self.verProc = verProc def hasContent_(self): if ( self.tpAmb is not None or self.procEmi is not None or self.verProc is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TIdeCadastro', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TIdeCadastro') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='TIdeCadastro') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TIdeCadastro', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='TIdeCadastro'): pass def exportChildren(self, outfile, level, namespace_='', name_='TIdeCadastro', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpAmb is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpAmb>%s</%stpAmb>%s' % (namespace_, self.gds_format_integer(self.tpAmb, input_name='tpAmb'), namespace_, eol_)) if self.procEmi is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sprocEmi>%s</%sprocEmi>%s' % (namespace_, self.gds_format_integer(self.procEmi, input_name='procEmi'), namespace_, eol_)) if self.verProc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sverProc>%s</%sverProc>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.verProc), input_name='verProc')), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'tpAmb': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'tpAmb') self.tpAmb = ival_ elif nodeName_ == 'procEmi': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'procEmi') self.procEmi = ival_ elif nodeName_ == 'verProc': verProc_ = child_.text verProc_ = self.gds_validate_string(verProc_, node, 'verProc') self.verProc = verProc_ # end class TIdeCadastro class tpAmb(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpAmb) if subclass is not None: return subclass(*args_, **kwargs_) if tpAmb.subclass: return tpAmb.subclass(*args_, **kwargs_) else: return tpAmb(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpAmb', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpAmb') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='tpAmb') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpAmb', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='tpAmb'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpAmb', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class tpAmb class procEmi(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, procEmi) if subclass is not None: return subclass(*args_, **kwargs_) if procEmi.subclass: return procEmi.subclass(*args_, **kwargs_) else: return procEmi(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='procEmi', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('procEmi') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='procEmi') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='procEmi', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='procEmi'): pass def exportChildren(self, outfile, level, namespace_='', name_='procEmi', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class procEmi class verProc(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, verProc) if subclass is not None: return subclass(*args_, **kwargs_) if verProc.subclass: return verProc.subclass(*args_, **kwargs_) else: return verProc(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='verProc', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('verProc') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='verProc') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='verProc', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='verProc'): pass def exportChildren(self, outfile, level, namespace_='', name_='verProc', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class verProc class TEmpregador(GeneratedsSuper): subclass = None superclass = None def __init__(self, tpInsc=None, nrInsc=None): self.original_tagname_ = None self.tpInsc = tpInsc self.nrInsc = nrInsc def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TEmpregador) if subclass is not None: return subclass(*args_, **kwargs_) if TEmpregador.subclass: return TEmpregador.subclass(*args_, **kwargs_) else: return TEmpregador(*args_, **kwargs_) factory = staticmethod(factory) def get_tpInsc(self): return self.tpInsc def set_tpInsc(self, tpInsc): self.tpInsc = tpInsc def get_nrInsc(self): return self.nrInsc def set_nrInsc(self, nrInsc): self.nrInsc = nrInsc def hasContent_(self): if ( self.tpInsc is not None or self.nrInsc is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TEmpregador', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TEmpregador') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='TEmpregador') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TEmpregador', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='TEmpregador'): pass def exportChildren(self, outfile, level, namespace_='', name_='TEmpregador', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpInsc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpInsc>%s</%stpInsc>%s' % (namespace_, self.gds_format_integer(self.tpInsc, input_name='tpInsc'), namespace_, eol_)) if self.nrInsc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrInsc>%s</%snrInsc>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrInsc), input_name='nrInsc')), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'tpInsc': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'tpInsc') self.tpInsc = ival_ elif nodeName_ == 'nrInsc': nrInsc_ = child_.text nrInsc_ = self.gds_validate_string(nrInsc_, node, 'nrInsc') self.nrInsc = nrInsc_ # end class TEmpregador class tpInsc(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpInsc) if subclass is not None: return subclass(*args_, **kwargs_) if tpInsc.subclass: return tpInsc.subclass(*args_, **kwargs_) else: return tpInsc(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpInsc', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpInsc') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='tpInsc') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpInsc', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='tpInsc'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpInsc', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class tpInsc class nrInsc(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nrInsc) if subclass is not None: return subclass(*args_, **kwargs_) if nrInsc.subclass: return nrInsc.subclass(*args_, **kwargs_) else: return nrInsc(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nrInsc', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nrInsc') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='nrInsc') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nrInsc', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='nrInsc'): pass def exportChildren(self, outfile, level, namespace_='', name_='nrInsc', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class nrInsc class TIdeRubrica(GeneratedsSuper): """Informações de identificação da rubrica (código) e período de validade""" subclass = None superclass = None def __init__(self, codRubr=None, ideTabRubr=None, iniValid=None, fimValid=None): self.original_tagname_ = None self.codRubr = codRubr self.ideTabRubr = ideTabRubr self.iniValid = iniValid self.fimValid = fimValid def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TIdeRubrica) if subclass is not None: return subclass(*args_, **kwargs_) if TIdeRubrica.subclass: return TIdeRubrica.subclass(*args_, **kwargs_) else: return TIdeRubrica(*args_, **kwargs_) factory = staticmethod(factory) def get_codRubr(self): return self.codRubr def set_codRubr(self, codRubr): self.codRubr = codRubr def get_ideTabRubr(self): return self.ideTabRubr def set_ideTabRubr(self, ideTabRubr): self.ideTabRubr = ideTabRubr def get_iniValid(self): return self.iniValid def set_iniValid(self, iniValid): self.iniValid = iniValid def get_fimValid(self): return self.fimValid def set_fimValid(self, fimValid): self.fimValid = fimValid def hasContent_(self): if ( self.codRubr is not None or self.ideTabRubr is not None or self.iniValid is not None or self.fimValid is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TIdeRubrica', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TIdeRubrica') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='TIdeRubrica') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TIdeRubrica', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='TIdeRubrica'): pass def exportChildren(self, outfile, level, namespace_='', name_='TIdeRubrica', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.codRubr is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodRubr>%s</%scodRubr>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.codRubr), input_name='codRubr')), namespace_, eol_)) if self.ideTabRubr is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sideTabRubr>%s</%sideTabRubr>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.ideTabRubr), input_name='ideTabRubr')), namespace_, eol_)) if self.iniValid is not None: showIndent(outfile, level, pretty_print) outfile.write('<%siniValid>%s</%siniValid>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.iniValid), input_name='iniValid')), namespace_, eol_)) if self.fimValid is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sfimValid>%s</%sfimValid>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.fimValid), input_name='fimValid')), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'codRubr': codRubr_ = child_.text codRubr_ = self.gds_validate_string(codRubr_, node, 'codRubr') self.codRubr = codRubr_ elif nodeName_ == 'ideTabRubr': ideTabRubr_ = child_.text ideTabRubr_ = self.gds_validate_string(ideTabRubr_, node, 'ideTabRubr') self.ideTabRubr = ideTabRubr_ elif nodeName_ == 'iniValid': iniValid_ = child_.text iniValid_ = self.gds_validate_string(iniValid_, node, 'iniValid') self.iniValid = iniValid_ elif nodeName_ == 'fimValid': fimValid_ = child_.text fimValid_ = self.gds_validate_string(fimValid_, node, 'fimValid') self.fimValid = fimValid_ # end class TIdeRubrica class codRubr(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codRubr) if subclass is not None: return subclass(*args_, **kwargs_) if codRubr.subclass: return codRubr.subclass(*args_, **kwargs_) else: return codRubr(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codRubr', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codRubr') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='codRubr') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codRubr', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='codRubr'): pass def exportChildren(self, outfile, level, namespace_='', name_='codRubr', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class codRubr class ideTabRubr(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, ideTabRubr) if subclass is not None: return subclass(*args_, **kwargs_) if ideTabRubr.subclass: return ideTabRubr.subclass(*args_, **kwargs_) else: return ideTabRubr(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='ideTabRubr', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('ideTabRubr') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='ideTabRubr') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='ideTabRubr', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='ideTabRubr'): pass def exportChildren(self, outfile, level, namespace_='', name_='ideTabRubr', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class ideTabRubr class iniValid(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, iniValid) if subclass is not None: return subclass(*args_, **kwargs_) if iniValid.subclass: return iniValid.subclass(*args_, **kwargs_) else: return iniValid(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='iniValid', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('iniValid') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='iniValid') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='iniValid', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='iniValid'): pass def exportChildren(self, outfile, level, namespace_='', name_='iniValid', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class iniValid class fimValid(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, fimValid) if subclass is not None: return subclass(*args_, **kwargs_) if fimValid.subclass: return fimValid.subclass(*args_, **kwargs_) else: return fimValid(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='fimValid', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('fimValid') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='fimValid') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='fimValid', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='fimValid'): pass def exportChildren(self, outfile, level, namespace_='', name_='fimValid', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class fimValid class TDadosRubrica(GeneratedsSuper): """Detalhamento da rubrica""" subclass = None superclass = None def __init__(self, dscRubr=None, natRubr=None, tpRubr=None, codIncCP=None, codIncIRRF=None, codIncFGTS=None, codIncSIND=None, repDSR=None, rep13=None, repFerias=None, repAviso=None, observacao=None, ideProcessoCP=None, ideProcessoIRRF=None, ideProcessoFGTS=None, ideProcessoSIND=None): self.original_tagname_ = None self.dscRubr = dscRubr self.natRubr = natRubr self.tpRubr = tpRubr self.codIncCP = codIncCP self.codIncIRRF = codIncIRRF self.codIncFGTS = codIncFGTS self.codIncSIND = codIncSIND self.repDSR = repDSR self.rep13 = rep13 self.repFerias = repFerias self.repAviso = repAviso self.observacao = observacao if ideProcessoCP is None: self.ideProcessoCP = [] else: self.ideProcessoCP = ideProcessoCP if ideProcessoIRRF is None: self.ideProcessoIRRF = [] else: self.ideProcessoIRRF = ideProcessoIRRF if ideProcessoFGTS is None: self.ideProcessoFGTS = [] else: self.ideProcessoFGTS = ideProcessoFGTS if ideProcessoSIND is None: self.ideProcessoSIND = [] else: self.ideProcessoSIND = ideProcessoSIND def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TDadosRubrica) if subclass is not None: return subclass(*args_, **kwargs_) if TDadosRubrica.subclass: return TDadosRubrica.subclass(*args_, **kwargs_) else: return TDadosRubrica(*args_, **kwargs_) factory = staticmethod(factory) def get_dscRubr(self): return self.dscRubr def set_dscRubr(self, dscRubr): self.dscRubr = dscRubr def get_natRubr(self): return self.natRubr def set_natRubr(self, natRubr): self.natRubr = natRubr def get_tpRubr(self): return self.tpRubr def set_tpRubr(self, tpRubr): self.tpRubr = tpRubr def get_codIncCP(self): return self.codIncCP def set_codIncCP(self, codIncCP): self.codIncCP = codIncCP def get_codIncIRRF(self): return self.codIncIRRF def set_codIncIRRF(self, codIncIRRF): self.codIncIRRF = codIncIRRF def get_codIncFGTS(self): return self.codIncFGTS def set_codIncFGTS(self, codIncFGTS): self.codIncFGTS = codIncFGTS def get_codIncSIND(self): return self.codIncSIND def set_codIncSIND(self, codIncSIND): self.codIncSIND = codIncSIND def get_repDSR(self): return self.repDSR def set_repDSR(self, repDSR): self.repDSR = repDSR def get_rep13(self): return self.rep13 def set_rep13(self, rep13): self.rep13 = rep13 def get_repFerias(self): return self.repFerias def set_repFerias(self, repFerias): self.repFerias = repFerias def get_repAviso(self): return self.repAviso def set_repAviso(self, repAviso): self.repAviso = repAviso def get_observacao(self): return self.observacao def set_observacao(self, observacao): self.observacao = observacao def get_ideProcessoCP(self): return self.ideProcessoCP def set_ideProcessoCP(self, ideProcessoCP): self.ideProcessoCP = ideProcessoCP def add_ideProcessoCP(self, value): self.ideProcessoCP.append(value) def insert_ideProcessoCP_at(self, index, value): self.ideProcessoCP.insert(index, value) def replace_ideProcessoCP_at(self, index, value): self.ideProcessoCP[index] = value def get_ideProcessoIRRF(self): return self.ideProcessoIRRF def set_ideProcessoIRRF(self, ideProcessoIRRF): self.ideProcessoIRRF = ideProcessoIRRF def add_ideProcessoIRRF(self, value): self.ideProcessoIRRF.append(value) def insert_ideProcessoIRRF_at(self, index, value): self.ideProcessoIRRF.insert(index, value) def replace_ideProcessoIRRF_at(self, index, value): self.ideProcessoIRRF[index] = value def get_ideProcessoFGTS(self): return self.ideProcessoFGTS def set_ideProcessoFGTS(self, ideProcessoFGTS): self.ideProcessoFGTS = ideProcessoFGTS def add_ideProcessoFGTS(self, value): self.ideProcessoFGTS.append(value) def insert_ideProcessoFGTS_at(self, index, value): self.ideProcessoFGTS.insert(index, value) def replace_ideProcessoFGTS_at(self, index, value): self.ideProcessoFGTS[index] = value def get_ideProcessoSIND(self): return self.ideProcessoSIND def set_ideProcessoSIND(self, ideProcessoSIND): self.ideProcessoSIND = ideProcessoSIND def add_ideProcessoSIND(self, value): self.ideProcessoSIND.append(value) def insert_ideProcessoSIND_at(self, index, value): self.ideProcessoSIND.insert(index, value) def replace_ideProcessoSIND_at(self, index, value): self.ideProcessoSIND[index] = value def hasContent_(self): if ( self.dscRubr is not None or self.natRubr is not None or self.tpRubr is not None or self.codIncCP is not None or self.codIncIRRF is not None or self.codIncFGTS is not None or self.codIncSIND is not None or self.repDSR is not None or self.rep13 is not None or self.repFerias is not None or self.repAviso is not None or self.observacao is not None or self.ideProcessoCP or self.ideProcessoIRRF or self.ideProcessoFGTS or self.ideProcessoSIND ): return True else: return False def export(self, outfile, level, namespace_='', name_='TDadosRubrica', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TDadosRubrica') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='TDadosRubrica') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TDadosRubrica', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='TDadosRubrica'): pass def exportChildren(self, outfile, level, namespace_='', name_='TDadosRubrica', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.dscRubr is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sdscRubr>%s</%sdscRubr>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.dscRubr), input_name='dscRubr')), namespace_, eol_)) if self.natRubr is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snatRubr>%s</%snatRubr>%s' % (namespace_, self.gds_format_integer(self.natRubr, input_name='natRubr'), namespace_, eol_)) if self.tpRubr is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpRubr>%s</%stpRubr>%s' % (namespace_, self.gds_format_integer(self.tpRubr, input_name='tpRubr'), namespace_, eol_)) if self.codIncCP is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodIncCP>%s</%scodIncCP>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.codIncCP), input_name='codIncCP')), namespace_, eol_)) if self.codIncIRRF is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodIncIRRF>%s</%scodIncIRRF>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.codIncIRRF), input_name='codIncIRRF')), namespace_, eol_)) if self.codIncFGTS is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodIncFGTS>%s</%scodIncFGTS>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.codIncFGTS), input_name='codIncFGTS')), namespace_, eol_)) if self.codIncSIND is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodIncSIND>%s</%scodIncSIND>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.codIncSIND), input_name='codIncSIND')), namespace_, eol_)) if self.repDSR is not None: showIndent(outfile, level, pretty_print) outfile.write('<%srepDSR>%s</%srepDSR>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.repDSR), input_name='repDSR')), namespace_, eol_)) if self.rep13 is not None: showIndent(outfile, level, pretty_print) outfile.write('<%srep13>%s</%srep13>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.rep13), input_name='rep13')), namespace_, eol_)) if self.repFerias is not None: showIndent(outfile, level, pretty_print) outfile.write('<%srepFerias>%s</%srepFerias>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.repFerias), input_name='repFerias')), namespace_, eol_)) if self.repAviso is not None: showIndent(outfile, level, pretty_print) outfile.write('<%srepAviso>%s</%srepAviso>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.repAviso), input_name='repAviso')), namespace_, eol_)) if self.observacao is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sobservacao>%s</%sobservacao>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.observacao), input_name='observacao')), namespace_, eol_)) for ideProcessoCP_ in self.ideProcessoCP: ideProcessoCP_.export(outfile, level, namespace_, name_='ideProcessoCP', pretty_print=pretty_print) for ideProcessoIRRF_ in self.ideProcessoIRRF: ideProcessoIRRF_.export(outfile, level, namespace_, name_='ideProcessoIRRF', pretty_print=pretty_print) for ideProcessoFGTS_ in self.ideProcessoFGTS: ideProcessoFGTS_.export(outfile, level, namespace_, name_='ideProcessoFGTS', pretty_print=pretty_print) for ideProcessoSIND_ in self.ideProcessoSIND: ideProcessoSIND_.export(outfile, level, namespace_, name_='ideProcessoSIND', pretty_print=pretty_print) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'dscRubr': dscRubr_ = child_.text dscRubr_ = self.gds_validate_string(dscRubr_, node, 'dscRubr') self.dscRubr = dscRubr_ elif nodeName_ == 'natRubr': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'natRubr') self.natRubr = ival_ elif nodeName_ == 'tpRubr': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'tpRubr') self.tpRubr = ival_ elif nodeName_ == 'codIncCP': codIncCP_ = child_.text codIncCP_ = self.gds_validate_string(codIncCP_, node, 'codIncCP') self.codIncCP = codIncCP_ elif nodeName_ == 'codIncIRRF': codIncIRRF_ = child_.text codIncIRRF_ = self.gds_validate_string(codIncIRRF_, node, 'codIncIRRF') self.codIncIRRF = codIncIRRF_ elif nodeName_ == 'codIncFGTS': codIncFGTS_ = child_.text codIncFGTS_ = self.gds_validate_string(codIncFGTS_, node, 'codIncFGTS') self.codIncFGTS = codIncFGTS_ elif nodeName_ == 'codIncSIND': codIncSIND_ = child_.text codIncSIND_ = self.gds_validate_string(codIncSIND_, node, 'codIncSIND') self.codIncSIND = codIncSIND_ elif nodeName_ == 'repDSR': repDSR_ = child_.text repDSR_ = self.gds_validate_string(repDSR_, node, 'repDSR') self.repDSR = repDSR_ elif nodeName_ == 'rep13': rep13_ = child_.text rep13_ = self.gds_validate_string(rep13_, node, 'rep13') self.rep13 = rep13_ elif nodeName_ == 'repFerias': repFerias_ = child_.text repFerias_ = self.gds_validate_string(repFerias_, node, 'repFerias') self.repFerias = repFerias_ elif nodeName_ == 'repAviso': repAviso_ = child_.text repAviso_ = self.gds_validate_string(repAviso_, node, 'repAviso') self.repAviso = repAviso_ elif nodeName_ == 'observacao': observacao_ = child_.text observacao_ = self.gds_validate_string(observacao_, node, 'observacao') self.observacao = observacao_ elif nodeName_ == 'ideProcessoCP': obj_ = ideProcessoCP.factory() obj_.build(child_) self.ideProcessoCP.append(obj_) obj_.original_tagname_ = 'ideProcessoCP' elif nodeName_ == 'ideProcessoIRRF': obj_ = ideProcessoIRRF.factory() obj_.build(child_) self.ideProcessoIRRF.append(obj_) obj_.original_tagname_ = 'ideProcessoIRRF' elif nodeName_ == 'ideProcessoFGTS': obj_ = ideProcessoFGTS.factory() obj_.build(child_) self.ideProcessoFGTS.append(obj_) obj_.original_tagname_ = 'ideProcessoFGTS' elif nodeName_ == 'ideProcessoSIND': obj_ = ideProcessoSIND.factory() obj_.build(child_) self.ideProcessoSIND.append(obj_) obj_.original_tagname_ = 'ideProcessoSIND' # end class TDadosRubrica class dscRubr(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, dscRubr) if subclass is not None: return subclass(*args_, **kwargs_) if dscRubr.subclass: return dscRubr.subclass(*args_, **kwargs_) else: return dscRubr(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='dscRubr', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('dscRubr') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='dscRubr') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='dscRubr', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='dscRubr'): pass def exportChildren(self, outfile, level, namespace_='', name_='dscRubr', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class dscRubr class natRubr(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, natRubr) if subclass is not None: return subclass(*args_, **kwargs_) if natRubr.subclass: return natRubr.subclass(*args_, **kwargs_) else: return natRubr(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='natRubr', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('natRubr') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='natRubr') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='natRubr', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='natRubr'): pass def exportChildren(self, outfile, level, namespace_='', name_='natRubr', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class natRubr class tpRubr(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpRubr) if subclass is not None: return subclass(*args_, **kwargs_) if tpRubr.subclass: return tpRubr.subclass(*args_, **kwargs_) else: return tpRubr(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpRubr', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpRubr') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='tpRubr') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpRubr', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='tpRubr'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpRubr', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class tpRubr class codIncCP(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codIncCP) if subclass is not None: return subclass(*args_, **kwargs_) if codIncCP.subclass: return codIncCP.subclass(*args_, **kwargs_) else: return codIncCP(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codIncCP', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codIncCP') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='codIncCP') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codIncCP', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='codIncCP'): pass def exportChildren(self, outfile, level, namespace_='', name_='codIncCP', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class codIncCP class codIncIRRF(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codIncIRRF) if subclass is not None: return subclass(*args_, **kwargs_) if codIncIRRF.subclass: return codIncIRRF.subclass(*args_, **kwargs_) else: return codIncIRRF(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codIncIRRF', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codIncIRRF') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='codIncIRRF') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codIncIRRF', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='codIncIRRF'): pass def exportChildren(self, outfile, level, namespace_='', name_='codIncIRRF', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class codIncIRRF class codIncFGTS(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codIncFGTS) if subclass is not None: return subclass(*args_, **kwargs_) if codIncFGTS.subclass: return codIncFGTS.subclass(*args_, **kwargs_) else: return codIncFGTS(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codIncFGTS', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codIncFGTS') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='codIncFGTS') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codIncFGTS', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='codIncFGTS'): pass def exportChildren(self, outfile, level, namespace_='', name_='codIncFGTS', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class codIncFGTS class codIncSIND(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codIncSIND) if subclass is not None: return subclass(*args_, **kwargs_) if codIncSIND.subclass: return codIncSIND.subclass(*args_, **kwargs_) else: return codIncSIND(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codIncSIND', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codIncSIND') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='codIncSIND') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codIncSIND', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='codIncSIND'): pass def exportChildren(self, outfile, level, namespace_='', name_='codIncSIND', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class codIncSIND class repDSR(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, repDSR) if subclass is not None: return subclass(*args_, **kwargs_) if repDSR.subclass: return repDSR.subclass(*args_, **kwargs_) else: return repDSR(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='repDSR', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('repDSR') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='repDSR') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='repDSR', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='repDSR'): pass def exportChildren(self, outfile, level, namespace_='', name_='repDSR', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class repDSR class rep13(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, rep13) if subclass is not None: return subclass(*args_, **kwargs_) if rep13.subclass: return rep13.subclass(*args_, **kwargs_) else: return rep13(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='rep13', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('rep13') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='rep13') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='rep13', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='rep13'): pass def exportChildren(self, outfile, level, namespace_='', name_='rep13', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class rep13 class repFerias(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, repFerias) if subclass is not None: return subclass(*args_, **kwargs_) if repFerias.subclass: return repFerias.subclass(*args_, **kwargs_) else: return repFerias(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='repFerias', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('repFerias') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='repFerias') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='repFerias', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='repFerias'): pass def exportChildren(self, outfile, level, namespace_='', name_='repFerias', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class repFerias class repAviso(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, repAviso) if subclass is not None: return subclass(*args_, **kwargs_) if repAviso.subclass: return repAviso.subclass(*args_, **kwargs_) else: return repAviso(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='repAviso', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('repAviso') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='repAviso') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='repAviso', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='repAviso'): pass def exportChildren(self, outfile, level, namespace_='', name_='repAviso', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class repAviso class observacao(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, observacao) if subclass is not None: return subclass(*args_, **kwargs_) if observacao.subclass: return observacao.subclass(*args_, **kwargs_) else: return observacao(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='observacao', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('observacao') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='observacao') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='observacao', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='observacao'): pass def exportChildren(self, outfile, level, namespace_='', name_='observacao', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class observacao class ideProcessoCP(GeneratedsSuper): """Caso a empresa possua processo administrativo ou judicial com decisão/sentença favorável, determinando a não incidência de contribuição previdenciária relativa a rubrica identificada no evento, as informações deverão ser incluídas neste registro, e o detalhamento do processo deverá ser efetuado através de evento específico na tabela de processos.""" subclass = None superclass = None def __init__(self, tpProc=None, nrProc=None, extDecisao=None, codSusp=None): self.original_tagname_ = None self.tpProc = tpProc self.nrProc = nrProc self.extDecisao = extDecisao self.codSusp = codSusp def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, ideProcessoCP) if subclass is not None: return subclass(*args_, **kwargs_) if ideProcessoCP.subclass: return ideProcessoCP.subclass(*args_, **kwargs_) else: return ideProcessoCP(*args_, **kwargs_) factory = staticmethod(factory) def get_tpProc(self): return self.tpProc def set_tpProc(self, tpProc): self.tpProc = tpProc def get_nrProc(self): return self.nrProc def set_nrProc(self, nrProc): self.nrProc = nrProc def get_extDecisao(self): return self.extDecisao def set_extDecisao(self, extDecisao): self.extDecisao = extDecisao def get_codSusp(self): return self.codSusp def set_codSusp(self, codSusp): self.codSusp = codSusp def hasContent_(self): if ( self.tpProc is not None or self.nrProc is not None or self.extDecisao is not None or self.codSusp is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='ideProcessoCP', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('ideProcessoCP') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='ideProcessoCP') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='ideProcessoCP', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='ideProcessoCP'): pass def exportChildren(self, outfile, level, namespace_='', name_='ideProcessoCP', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpProc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpProc>%s</%stpProc>%s' % (namespace_, self.gds_format_integer(self.tpProc, input_name='tpProc'), namespace_, eol_)) if self.nrProc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrProc>%s</%snrProc>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrProc), input_name='nrProc')), namespace_, eol_)) if self.extDecisao is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sextDecisao>%s</%sextDecisao>%s' % (namespace_, self.gds_format_integer(self.extDecisao, input_name='extDecisao'), namespace_, eol_)) if self.codSusp is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodSusp>%s</%scodSusp>%s' % (namespace_, self.gds_format_integer(self.codSusp, input_name='codSusp'), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'tpProc': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'tpProc') self.tpProc = ival_ elif nodeName_ == 'nrProc': nrProc_ = child_.text nrProc_ = self.gds_validate_string(nrProc_, node, 'nrProc') self.nrProc = nrProc_ elif nodeName_ == 'extDecisao': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'extDecisao') self.extDecisao = ival_ elif nodeName_ == 'codSusp': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'codSusp') self.codSusp = ival_ # end class ideProcessoCP class tpProc(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpProc) if subclass is not None: return subclass(*args_, **kwargs_) if tpProc.subclass: return tpProc.subclass(*args_, **kwargs_) else: return tpProc(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpProc', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpProc') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='tpProc') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpProc', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='tpProc'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpProc', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class tpProc class nrProc(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nrProc) if subclass is not None: return subclass(*args_, **kwargs_) if nrProc.subclass: return nrProc.subclass(*args_, **kwargs_) else: return nrProc(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nrProc', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nrProc') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='nrProc') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nrProc', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='nrProc'): pass def exportChildren(self, outfile, level, namespace_='', name_='nrProc', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class nrProc class extDecisao(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, extDecisao) if subclass is not None: return subclass(*args_, **kwargs_) if extDecisao.subclass: return extDecisao.subclass(*args_, **kwargs_) else: return extDecisao(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='extDecisao', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('extDecisao') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='extDecisao') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='extDecisao', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='extDecisao'): pass def exportChildren(self, outfile, level, namespace_='', name_='extDecisao', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class extDecisao class codSusp(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codSusp) if subclass is not None: return subclass(*args_, **kwargs_) if codSusp.subclass: return codSusp.subclass(*args_, **kwargs_) else: return codSusp(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codSusp', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codSusp') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='codSusp') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codSusp', pretty_print=pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='codSusp'): pass def exportChildren(self, outfile, level, namespace_='', name_='codSusp', fromsubclass_=False, pretty_print=True): pass def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class codSusp class ideProcessoIRRF(GeneratedsSuper): """Caso a empresa possua processo judicial com decisão/sentença favorável, determinando a não incidência de imposto de renda relativo a rubrica identificada no evento, as informações deverão ser incluídas neste registro, e o detalhamento do processo deverá ser efetuado através de evento específico na tabela de processos.""" subclass = None superclass = None def __init__(self, nrProc=None, codSusp=None): self.original_tagname_ = None self.nrProc = nrProc self.codSusp = codSusp def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, ideProcessoIRRF) if subclass is not None: return subclass(*args_, **kwargs_) if ideProcessoIRRF.subclass: return ideProcessoIRRF.subclass(*args_, **kwargs_) else: return ideProcessoIRRF(*args_, **kwargs_) factory = staticmethod(factory) def get_nrProc(self): return self.nrProc def set_nrProc(self, nrProc): self.nrProc = nrProc def get_codSusp(self): return self.codSusp def set_codSusp(self, codSusp): self.codSusp = codSusp def hasContent_(self): if ( self.nrProc is not None or self.codSusp is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='ideProcessoIRRF', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('ideProcessoIRRF') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='ideProcessoIRRF') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='ideProcessoIRRF', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='ideProcessoIRRF'): pass def exportChildren(self, outfile, level, namespace_='', name_='ideProcessoIRRF', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.nrProc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrProc>%s</%snrProc>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrProc), input_name='nrProc')), namespace_, eol_)) if self.codSusp is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodSusp>%s</%scodSusp>%s' % (namespace_, self.gds_format_integer(self.codSusp, input_name='codSusp'), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'nrProc': nrProc_ = child_.text nrProc_ = self.gds_validate_string(nrProc_, node, 'nrProc') self.nrProc = nrProc_ elif nodeName_ == 'codSusp': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'codSusp') self.codSusp = ival_ # end class ideProcessoIRRF class ideProcessoFGTS(GeneratedsSuper): """Caso a empresa possua processo judicial com decisão/sentença favorável, determinando a não incidência de FGTS relativo a rubrica identificada no evento, as informações deverão ser incluídas neste registro, e o detalhamento do processo deverá ser efetuado através de evento específico na tabela de processos.""" subclass = None superclass = None def __init__(self, nrProc=None, codSusp=None): self.original_tagname_ = None self.nrProc = nrProc self.codSusp = codSusp def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, ideProcessoFGTS) if subclass is not None: return subclass(*args_, **kwargs_) if ideProcessoFGTS.subclass: return ideProcessoFGTS.subclass(*args_, **kwargs_) else: return ideProcessoFGTS(*args_, **kwargs_) factory = staticmethod(factory) def get_nrProc(self): return self.nrProc def set_nrProc(self, nrProc): self.nrProc = nrProc def get_codSusp(self): return self.codSusp def set_codSusp(self, codSusp): self.codSusp = codSusp def hasContent_(self): if ( self.nrProc is not None or self.codSusp is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='ideProcessoFGTS', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('ideProcessoFGTS') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='ideProcessoFGTS') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='ideProcessoFGTS', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='ideProcessoFGTS'): pass def exportChildren(self, outfile, level, namespace_='', name_='ideProcessoFGTS', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.nrProc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrProc>%s</%snrProc>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrProc), input_name='nrProc')), namespace_, eol_)) if self.codSusp is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodSusp>%s</%scodSusp>%s' % (namespace_, self.gds_format_integer(self.codSusp, input_name='codSusp'), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'nrProc': nrProc_ = child_.text nrProc_ = self.gds_validate_string(nrProc_, node, 'nrProc') self.nrProc = nrProc_ elif nodeName_ == 'codSusp': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'codSusp') self.codSusp = ival_ # end class ideProcessoFGTS class ideProcessoSIND(GeneratedsSuper): """Caso a empresa possua processo judicial com decisão/sentença favorável, determinando a não incidência de contribuição sindical relativa a rubrica identificada no evento, as informações deverão ser incluídas neste registro, e o detalhamento do processo deverá ser efetuado através de evento específico na tabela de processos.""" subclass = None superclass = None def __init__(self, nrProc=None, codSusp=None): self.original_tagname_ = None self.nrProc = nrProc self.codSusp = codSusp def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, ideProcessoSIND) if subclass is not None: return subclass(*args_, **kwargs_) if ideProcessoSIND.subclass: return ideProcessoSIND.subclass(*args_, **kwargs_) else: return ideProcessoSIND(*args_, **kwargs_) factory = staticmethod(factory) def get_nrProc(self): return self.nrProc def set_nrProc(self, nrProc): self.nrProc = nrProc def get_codSusp(self): return self.codSusp def set_codSusp(self, codSusp): self.codSusp = codSusp def hasContent_(self): if ( self.nrProc is not None or self.codSusp is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='ideProcessoSIND', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('ideProcessoSIND') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='ideProcessoSIND') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='ideProcessoSIND', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='ideProcessoSIND'): pass def exportChildren(self, outfile, level, namespace_='', name_='ideProcessoSIND', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.nrProc is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrProc>%s</%snrProc>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrProc), input_name='nrProc')), namespace_, eol_)) if self.codSusp is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodSusp>%s</%scodSusp>%s' % (namespace_, self.gds_format_integer(self.codSusp, input_name='codSusp'), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'nrProc': nrProc_ = child_.text nrProc_ = self.gds_validate_string(nrProc_, node, 'nrProc') self.nrProc = nrProc_ elif nodeName_ == 'codSusp': sval_ = child_.text try: ival_ = int(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires integer: %s' % exp) ival_ = self.gds_validate_integer(ival_, node, 'codSusp') self.codSusp = ival_ # end class ideProcessoSIND class TPeriodoValidade(GeneratedsSuper): subclass = None superclass = None def __init__(self, iniValid=None, fimValid=None): self.original_tagname_ = None self.iniValid = iniValid self.fimValid = fimValid def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TPeriodoValidade) if subclass is not None: return subclass(*args_, **kwargs_) if TPeriodoValidade.subclass: return TPeriodoValidade.subclass(*args_, **kwargs_) else: return TPeriodoValidade(*args_, **kwargs_) factory = staticmethod(factory) def get_iniValid(self): return self.iniValid def set_iniValid(self, iniValid): self.iniValid = iniValid def get_fimValid(self): return self.fimValid def set_fimValid(self, fimValid): self.fimValid = fimValid def hasContent_(self): if ( self.iniValid is not None or self.fimValid is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TPeriodoValidade', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TPeriodoValidade') if imported_ns_def_ is not None: namespacedef_ = imported_ns_def_ if pretty_print: eol_ = '\n' else: eol_ = '' if self.original_tagname_ is not None: name_ = self.original_tagname_ showIndent(outfile, level, pretty_print) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = set() self.exportAttributes(outfile, level, already_processed, namespace_, name_='TPeriodoValidade') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TPeriodoValidade', pretty_print=pretty_print) showIndent(outfile, level, pretty_print) outfile.write('</%s%s>%s' % (namespace_, name_, eol_)) else: outfile.write('/>%s' % (eol_, )) def exportAttributes(self, outfile, level, already_processed, namespace_='', name_='TPeriodoValidade'): pass def exportChildren(self, outfile, level, namespace_='', name_='TPeriodoValidade', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.iniValid is not None: showIndent(outfile, level, pretty_print) outfile.write('<%siniValid>%s</%siniValid>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.iniValid), input_name='iniValid')), namespace_, eol_)) if self.fimValid is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sfimValid>%s</%sfimValid>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.fimValid), input_name='fimValid')), namespace_, eol_)) def build(self, node): already_processed = set() self.buildAttributes(node, node.attrib, already_processed) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) return self def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'iniValid': iniValid_ = child_.text iniValid_ = self.gds_validate_string(iniValid_, node, 'iniValid') self.iniValid = iniValid_ elif nodeName_ == 'fimValid': fimValid_ = child_.text fimValid_ = self.gds_validate_string(fimValid_, node, 'fimValid') self.fimValid = fimValid_ # end class TPeriodoValidade GDSClassesMapping = { 'dadosRubrica': TDadosRubrica, 'ideEmpregador': TEmpregador, 'ideEvento': TIdeCadastro, 'ideRubrica': TIdeRubrica, 'novaValidade': TPeriodoValidade, } USAGE_TEXT = """ Usage: python <Parser>.py [ -s ] <in_xml_file> """ def usage(): print(USAGE_TEXT) sys.exit(1) def get_root_tag(node): tag = Tag_pattern_.match(node.tag).groups()[-1] rootClass = GDSClassesMapping.get(tag) if rootClass is None: rootClass = globals().get(tag) return tag, rootClass def parse(inFileName, silence=False): parser = None doc = parsexml_(inFileName, parser) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eSocial' rootClass = eSocial rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None if not silence: sys.stdout.write('<?xml version="1.0" ?>\n') rootObj.export( sys.stdout, 0, name_=rootTag, namespacedef_='', pretty_print=True) return rootObj def parseEtree(inFileName, silence=False): parser = None doc = parsexml_(inFileName, parser) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eSocial' rootClass = eSocial rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None mapping = {} rootElement = rootObj.to_etree(None, name_=rootTag, mapping_=mapping) reverse_mapping = rootObj.gds_reverse_node_mapping(mapping) if not silence: content = etree_.tostring( rootElement, pretty_print=True, xml_declaration=True, encoding="utf-8") sys.stdout.write(content) sys.stdout.write('\n') return rootObj, rootElement, mapping, reverse_mapping def parseString(inString, silence=False): if sys.version_info.major == 2: from StringIO import StringIO as IOBuffer else: from io import BytesIO as IOBuffer parser = None doc = parsexml_(IOBuffer(inString), parser) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eSocial' rootClass = eSocial rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None if not silence: sys.stdout.write('<?xml version="1.0" ?>\n') rootObj.export( sys.stdout, 0, name_=rootTag, namespacedef_='') return rootObj def parseLiteral(inFileName, silence=False): parser = None doc = parsexml_(inFileName, parser) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eSocial' rootClass = eSocial rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None if not silence: sys.stdout.write('#from evtTabRubrica import *\n\n') sys.stdout.write('import evtTabRubrica as model_\n\n') sys.stdout.write('rootObj = model_.rootClass(\n') rootObj.exportLiteral(sys.stdout, 0, name_=rootTag) sys.stdout.write(')\n') return rootObj def main(): args = sys.argv[1:] if len(args) == 1: parse(args[0]) else: usage() if __name__ == '__main__': #import pdb; pdb.set_trace() main() __all__ = [ "TDadosRubrica", "TEmpregador", "TIdeCadastro", "TIdeRubrica", "TPeriodoValidade", "eSocial" ]

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168,698

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null

0

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1

0

1

0

null

0

4

d8a641006901d3efca5807c152656c964610635c

181

py

Python

george/solvers/__init__.py

rychallener/george

98eae39ae453c31afac530c49f178f66c0013c5f

[ "MIT" ]

379

2015-01-08T15:35:31.000Z

2022-03-21T13:01:03.000Z

george/solvers/__init__.py

rychallener/george

98eae39ae453c31afac530c49f178f66c0013c5f

[ "MIT" ]

136

2015-01-06T17:36:12.000Z

2022-02-08T20:12:17.000Z

george/solvers/__init__.py

rychallener/george

98eae39ae453c31afac530c49f178f66c0013c5f

[ "MIT" ]

119

2015-01-06T09:27:16.000Z

2022-01-14T17:54:48.000Z

# -*- coding: utf-8 -*- __all__ = ["TrivialSolver", "BasicSolver", "HODLRSolver"] from .trivial import TrivialSolver from .basic import BasicSolver from .hodlr import HODLRSolver

22.625

57

0.740331

19

181

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0.006369

0.132597

181

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null

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1

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1

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4

d8d28a7e7f2ba9016b06426c4ca635e6f7b3eb7f

946

py

Python

mission_control/navigator_alarm/navigator_alarm/alarm_handlers/network_loss.py

saltyan007/kill_test

a641dd74bae38122c3a044ef11cd445042d85e2b

[ "MIT" ]

null

mission_control/navigator_alarm/navigator_alarm/alarm_handlers/network_loss.py

saltyan007/kill_test

a641dd74bae38122c3a044ef11cd445042d85e2b

[ "MIT" ]

null

mission_control/navigator_alarm/navigator_alarm/alarm_handlers/network_loss.py

saltyan007/kill_test

a641dd74bae38122c3a044ef11cd445042d85e2b

[ "MIT" ]

1

2019-07-29T12:24:15.000Z

#!/usr/bin/env python import rospy from _template import HandlerBase from navigator_msgs.srv import WrenchSelect #from lqrrt_ros.msg import MoveAction, MoveGoal class NetworkLossHandler(HandlerBase): alarm_name = 'network_loss' def __init__(self): # To kill or to station hold. That is the question # TODO: Check if we can station hold? Listen to /move_to/feedback and check 'tracking'. #self.kill = self.alarm_broadcaster.add_alarm('network_loss', node_name="NetworkLossHandler") #self.station_hold_alarm = self.alarm_broadcaster.add_alarm('station_hold', node_name="NetworkLossHandler") self.wrench_changer = rospy.ServiceProxy("/change_wrench", WrenchSelect) def handle(self, alarm, time_sent, parameters): #self.station_hold_alarm.raise_alarm() #self.kill.raise_alarm() self.wrench_changer("rc") def cancel(self, alarm, time_sent, parameters): pass

37.84

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946

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false

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null

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null

0

1

0

1

0

1

0

1

0

4

d8d58f9f460b5c9922a344b38fc0fe080d151348

357

py

Python

test/components/test_convolve.py

gmrukwa/msi-preprocessing-pipeline

bc6d26daba42575babcdf5287999f1f844cf2e8e

[ "Apache-2.0" ]

null

test/components/test_convolve.py

gmrukwa/msi-preprocessing-pipeline

bc6d26daba42575babcdf5287999f1f844cf2e8e

[ "Apache-2.0" ]

5

2019-11-26T19:13:32.000Z

2019-11-29T08:14:28.000Z

test/components/test_convolve.py

gmrukwa/msi-preprocessing-pipeline

bc6d26daba42575babcdf5287999f1f844cf2e8e

[ "Apache-2.0" ]

null

import unittest import numpy as np # TODO: Re-enable tests # import bin.convolve as conv # mzs = np.arange(100) # class TestRelevantRange(unittest.TestCase): # def test_returns_two_numbers(self): # left, right = conv.relevant_range(mzs, mu=20, sig=2) # self.assertIsInstance(left, int) # self.assertIsInstance(right, int)

19.833333

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47

357

5.12766

0.723404

0.165975

0

0.021127

0.204482

357

17

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0

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1

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true

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1

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null

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null

0

1

0

1

0

1

0

4

d8e2c9004b510374c7d41cb0f1170375179a8651

1,736

py

Python

src/basic/migrations/0019_part.py

parezj/PartsView

a59a3804b574b11efd8f0472deae4dae1c16eb67

[ "WTFPL" ]

3

2020-05-10T08:40:36.000Z

2020-10-28T18:09:31.000Z

src/basic/migrations/0019_part.py

parezj/PartsView

a59a3804b574b11efd8f0472deae4dae1c16eb67

[ "WTFPL" ]

1

2019-12-17T23:41:17.000Z

2019-12-17T23:42:43.000Z

src/basic/migrations/0019_part.py

parezj/PartsView

a59a3804b574b11efd8f0472deae4dae1c16eb67

[ "WTFPL" ]

1

2021-06-11T10:49:10.000Z

# Generated by Django 2.2.8 on 2019-12-10 23:37 from django.db import migrations, models import jsonfield.fields class Migration(migrations.Migration): initial = True dependencies = [ ('basic', '0018_delete_part'), ] operations = [ migrations.CreateModel( name='Part', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=50)), ('manuf', models.CharField(max_length=50)), ('desc', models.CharField(max_length=200)), ('pdf', models.CharField(max_length=200)), ('octo', models.CharField(max_length=200)), ('search', models.CharField(max_length=50)), ('time', models.DateTimeField()), ('img_big', models.CharField(max_length=200)), ('img_big2', models.CharField(max_length=200)), ('img_big3', models.CharField(max_length=200)), ('img_big4', models.CharField(max_length=200)), ('img_small', models.CharField(max_length=200)), ('img_footprint', models.CharField(max_length=200)), ('img_symbol', models.CharField(max_length=200)), ('farnell_mnu', models.IntegerField()), ('farnell_czk', models.FloatField()), ('mouser_mnu', models.IntegerField()), ('mouser_czk', models.FloatField()), ('digikey_mnu', models.IntegerField()), ('digikey_czk', models.FloatField()), ('specs', jsonfield.fields.JSONField()), ], ), ]

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null

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d8ef18e3dadb33280a18e801c7a86bf86e14b4f9

221

py

Python

spray/helpers.py

rmerkushin/SpriteTools

1c63f00c4c529e0be7e2f733126d7194ec835c65

[ "MIT" ]

null

spray/helpers.py

rmerkushin/SpriteTools

1c63f00c4c529e0be7e2f733126d7194ec835c65

[ "MIT" ]

null

spray/helpers.py

rmerkushin/SpriteTools

1c63f00c4c529e0be7e2f733126d7194ec835c65

[ "MIT" ]

null

import bpy def get_frames_info(): frame_start = bpy.context.scene.frame_start frame_end = bpy.context.scene.frame_end frame_count = frame_end - frame_start + 1 return frame_start, frame_end, frame_count

24.555556

47

0.751131

34

221

4.529412

0.411765

0.25974

0.253247

0.25974

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0.005495

0.176471

221

8

48

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1

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null

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4

2b06db04ab209ce009e97dc12041abdb247f3c53

299

py

Python

lib/distributions/__init__.py

joelouismarino/variational_rl

11dc14bfb56f3ebbfccd5de206b78712a8039a9a

[ "MIT" ]

15

2020-10-20T22:09:36.000Z

2021-12-24T13:40:36.000Z

lib/distributions/__init__.py

joelouismarino/variational_rl

11dc14bfb56f3ebbfccd5de206b78712a8039a9a

[ "MIT" ]

null

lib/distributions/__init__.py

joelouismarino/variational_rl

11dc14bfb56f3ebbfccd5de206b78712a8039a9a

[ "MIT" ]

1

2020-10-23T19:48:06.000Z

from .distribution import Distribution from .kl_divergence import kl_divergence from .boltzmann import Boltzmann from .mixture_of_normals import MixtureOfNormals from .mixture_of_tanh_normals import MixtureOfTanhNormals from .normal_uniform import NormalUniform from .tanh_normal import TanhNormal

33.222222

57

0.879599

37

299

6.864865

0.432432

0.094488

0.102362

0

0.09699

299

8

58

37.375

0.940741

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null

0

1

0

1

0

1

0

4

2b109b36a4486a66034ed4b3c5ad99d295a37b25

132

py

Python

moya/testprojects/scratch/blog/py/test.py

moyaproject/moya

78b91d87b4519f91dfdd2b40dab44e72f201a843

[ "MIT" ]

129

2015-02-16T12:02:50.000Z

2021-11-06T00:20:01.000Z

moya/testprojects/scratch/blog/py/test.py

liaohandel/moya

78b91d87b4519f91dfdd2b40dab44e72f201a843

[ "MIT" ]

5

2015-02-19T15:56:41.000Z

2015-09-08T18:58:35.000Z

moya/testprojects/scratch/blog/py/test.py

liaohandel/moya

78b91d87b4519f91dfdd2b40dab44e72f201a843

[ "MIT" ]

14

2015-02-19T17:20:34.000Z

2022-03-28T01:38:09.000Z

from __future__ import print_function import moya @moya.expose.macro("test") def test(): print("Success! :-)") return 10

13.2

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132

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132

9

38

14.666667

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null

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1

0

4

2b11d047488b2aec2504fd9bc6de2650eb3e618e

170

py

Python

Python/Any or All.py

MonwarAdeeb/HackerRank-Solutions

571327e9688061745000ae81c5fd74ff7a2976d4

[ "MIT" ]

null

Python/Any or All.py

MonwarAdeeb/HackerRank-Solutions

571327e9688061745000ae81c5fd74ff7a2976d4

[ "MIT" ]

null

Python/Any or All.py

MonwarAdeeb/HackerRank-Solutions

571327e9688061745000ae81c5fd74ff7a2976d4

[ "MIT" ]

null

# Enter your code here. Read input from STDIN. Print output to STDOUT _, n = input(), input().split() print( all([int(i)>0 for i in n]) and any([j==j[::-1] for j in n]) )

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170

3.117647

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170

3

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true

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null

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4