xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

d195782ce9fdb1bb2d9381bd26cb6cd6175f3f5e

88

py

Python

catnip/__init__.py

ramadan8/Catnip

554127b2e4726c6677327c229d2bfff3c366f8d6

[ "MIT" ]

1

2021-11-23T12:24:10.000Z

catnip/__init__.py

ramadan8/Catnip

554127b2e4726c6677327c229d2bfff3c366f8d6

[ "MIT" ]

null

catnip/__init__.py

ramadan8/Catnip

554127b2e4726c6677327c229d2bfff3c366f8d6

[ "MIT" ]

null

from .camera import Camera, Frame from .event import Event from .manager import Manager

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d19cc15777dc35d210b0dbff27704a9c386722c0

154

py

Python

tests/web_platform/CSS2/linebox/test_vertical_align_sub.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/CSS2/linebox/test_vertical_align_sub.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/CSS2/linebox/test_vertical_align_sub.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

1

2020-01-16T01:56:41.000Z

from tests.utils import W3CTestCase class TestVerticalAlignSub(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'vertical-align-sub-'))

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061621a1e4baee947373d40f9b9a099b93d732ce

434

py

Python

Calibration/HcalAlCaRecoProducers/python/ALCARECOHcalCalIsoTrkProducerFilter_cff.py

malbouis/cmssw

16173a30d3f0c9ecc5419c474bb4d272c58b65c8

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Calibration/HcalAlCaRecoProducers/python/ALCARECOHcalCalIsoTrkProducerFilter_cff.py

gartung/cmssw

3072dde3ce94dcd1791d778988198a44cde02162

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Calibration/HcalAlCaRecoProducers/python/ALCARECOHcalCalIsoTrkProducerFilter_cff.py

gartung/cmssw

3072dde3ce94dcd1791d778988198a44cde02162

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms #------------------------------------------------ #AlCaReco filtering for HCAL isotrk: #------------------------------------------------ from Calibration.HcalAlCaRecoProducers.alcaHcalIsotrkProducer_cfi import * from Calibration.HcalAlCaRecoProducers.alcaHcalIsotrkFilter_cfi import * seqALCARECOHcalCalIsoTrkProducerFilter = cms.Sequence(alcaHcalIsotrkProducer * alcaHcalIsotrkFilter)

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ae4318490ba3aa13ce5892b18991a31e29c8f969

46

py

Python

multi_dimensional_clustering/__init__.py

PieterMey/multi_dimensional_clustering

2e678f5ada62873fbac01fcdcb8a891f2239be01

[ "Apache-2.0" ]

1

2022-03-23T16:40:11.000Z

multi_dimensional_clustering/__init__.py

PieterMey/multi_dimensional_clustering

2e678f5ada62873fbac01fcdcb8a891f2239be01

[ "Apache-2.0" ]

null

multi_dimensional_clustering/__init__.py

PieterMey/multi_dimensional_clustering

2e678f5ada62873fbac01fcdcb8a891f2239be01

[ "Apache-2.0" ]

1

2022-03-25T08:25:17.000Z

from .multi_D_clustering import MD_clustering

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ae4bf3c4691013d8afd3b0fdf16f6f00f7db1495

127

py

Python

dstl/translate/__init__.py

kabirkhan/dstl

9bfbba27e99da4736d460888ea908a71bd1c7ae9

[ "MIT" ]

2

2021-05-12T09:22:04.000Z

2021-10-12T10:57:08.000Z

dstl/translate/__init__.py

kabirkhan/dstl

9bfbba27e99da4736d460888ea908a71bd1c7ae9

[ "MIT" ]

null

dstl/translate/__init__.py

kabirkhan/dstl

9bfbba27e99da4736d460888ea908a71bd1c7ae9

[ "MIT" ]

null

from .azure import AzureTranslator from .google import GoogleTranslator from .transformers import TransformersMarianTranslator

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5

ae4c394ca32afb4041b48e53393bfd2f12c61d9a

288

py

Python

src/ising_animate/__init__.py

davifeliciano/ising_model

7f9beff5647a747a1b64b97012af2c6c040fddb7

[ "MIT" ]

2

2021-10-15T10:58:20.000Z

2021-10-31T15:59:04.000Z

src/ising_animate/__init__.py

davifeliciano/ising_animate

7f9beff5647a747a1b64b97012af2c6c040fddb7

[ "MIT" ]

null

src/ising_animate/__init__.py

davifeliciano/ising_animate

7f9beff5647a747a1b64b97012af2c6c040fddb7

[ "MIT" ]

null

""" A Python Package to easily generate animations of the Ising Model using the Metropolis Algorithm, the most commonly used Markov Chain Monte Carlo method to calculate estimations for this system. """ from .ising import Ising, AnimatedIsing, CoolingAnimatedIsing, DynamicAnimatedIsing

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ae5bb27580ff11d1812002bb7c2710f1710c80b6

418

py

Python

test/run_all_tests.py

wjchen84/rapprentice

9232a6a21e2c80f00854912f07dcdc725b0be95a

[ "BSD-2-Clause" ]

23

2015-08-25T19:40:18.000Z

2020-12-27T09:23:06.000Z

test/run_all_tests.py

wjchen84/rapprentice

9232a6a21e2c80f00854912f07dcdc725b0be95a

[ "BSD-2-Clause" ]

null

test/run_all_tests.py

wjchen84/rapprentice

9232a6a21e2c80f00854912f07dcdc725b0be95a

[ "BSD-2-Clause" ]

8

2016-05-18T20:13:06.000Z

2020-11-03T16:09:50.000Z

import rapprentice, os, os.path as osp from rapprentice.call_and_print import call_and_print assert osp.basename(os.getcwd()) == "test" call_and_print("python tps_unit_tests.py") call_and_print("python ../scripts/download_sampledata.py ~/Data --use_rsync") call_and_print("python ../scripts/generate_h5.py ~/Data/sampledata/overhand/overhand.yaml") call_and_print("python test_registration_synthetic.py --plotting=0")

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ae5e0d710108d5b4ce6c5bcd9dad8d7e645a849f

313

py

Python

mutations/mutation_role/mutation.py

akarapun/elearning

fe116d5815925269819061ea183cbfdb773844cf

[ "MIT" ]

1

2020-03-14T11:00:14.000Z

mutations/mutation_role/mutation.py

akarapun/elearning

fe116d5815925269819061ea183cbfdb773844cf

[ "MIT" ]

null

mutations/mutation_role/mutation.py

akarapun/elearning

fe116d5815925269819061ea183cbfdb773844cf

[ "MIT" ]

null

import graphene from mutation_role.createRole import CreateRoleMutation from mutation_role.updateRole import UpdateRoleMutation from mutation_role.deleteRole import DeleteRoleMutation class RoleMutation( CreateRoleMutation, UpdateRoleMutation, DeleteRoleMutation, graphene.ObjectType): pass

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null

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5

ae652a7bbf5b9b656563f1d897b0c7efb679fce4

143

py

Python

tests/conftest.py

DenMaslov/dz4

3b970c4d12339c0711905601695335a6e376d8d3

[ "MIT" ]

null

tests/conftest.py

DenMaslov/dz4

3b970c4d12339c0711905601695335a6e376d8d3

[ "MIT" ]

null

tests/conftest.py

DenMaslov/dz4

3b970c4d12339c0711905601695335a6e376d8d3

[ "MIT" ]

null

import pytest from dz4.calculator.calculator import Calculator @pytest.fixture() def calculator() -> Calculator: return Calculator()

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null

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88375c88dad4196964e4ef4c3c059af714e55438

284

py

Python

container/src/models/note.py

PowercoderJr/oonote

619e7a0146c0239232b3d9a7effe597ab899b88e

[ "MIT" ]

null

container/src/models/note.py

PowercoderJr/oonote

619e7a0146c0239232b3d9a7effe597ab899b88e

[ "MIT" ]

null

container/src/models/note.py

PowercoderJr/oonote

619e7a0146c0239232b3d9a7effe597ab899b88e

[ "MIT" ]

null

from app import db class Note(db.Model): id_ = db.Column(db.String(16), primary_key=True) text = db.Column(db.Text) response = db.Column(db.String(100)) created_at = db.Column(db.DateTime) read_at = db.Column(db.DateTime) password = db.Column(db.String(64))

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5

8863a97d566121460c264ae8c8c13b4b476fde3e

86

py

Python

moosetools/__init__.py

NidorFanClub/oatcogs

8b17770a895513b8c80cb64e9f4f9b8b98f57a3e

[ "MIT" ]

1

2022-01-10T10:46:22.000Z

moosetools/__init__.py

UntitledVeganServer/oatcogs

8b17770a895513b8c80cb64e9f4f9b8b98f57a3e

[ "MIT" ]

11

2022-01-28T00:25:08.000Z

2022-03-27T21:35:53.000Z

moosetools/__init__.py

NidorFanClub/oatcogs

8b17770a895513b8c80cb64e9f4f9b8b98f57a3e

[ "MIT" ]

null

from .moosetools import MooseTools def setup(bot): bot.add_cog(MooseTools())

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88815ba30f14b60c626fa9aadcc1d0d61ff2ef9a

72

py

Python

example/is_main_example.py

jamesabel/ismain

d97c01ed81a7fa72cf7ca744ec139b81f23008a0

[ "MIT" ]

1

2019-10-12T20:13:41.000Z

example/is_main_example.py

jamesabel/ismain

d97c01ed81a7fa72cf7ca744ec139b81f23008a0

[ "MIT" ]

1

2020-11-05T19:20:09.000Z

example/is_main_example.py

jamesabel/ismain

d97c01ed81a7fa72cf7ca744ec139b81f23008a0

[ "MIT" ]

null

from ismain import is_main if is_main(): print("Hello from main.")

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ee294d78edcc6be3fe6c777a0f5cc53b056c3922

302

py

Python

et_micc_build/__init__.py

etijskens/et-micc-build

adf60a142b11af145e1129c17de00a32a61c84ce

[ "MIT" ]

null

et_micc_build/__init__.py

etijskens/et-micc-build

adf60a142b11af145e1129c17de00a32a61c84ce

[ "MIT" ]

5

2019-11-26T11:42:48.000Z

2020-06-12T09:36:16.000Z

et_micc_build/__init__.py

etijskens/et-micc-build

adf60a142b11af145e1129c17de00a32a61c84ce

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Package et_micc_build ===================== Top-level package for et_micc_build. """ import et_micc_build.cli_micc_build import et_micc # et-micc and et--micc-build have identical version string, although # they are different packages. __version__ = et_micc.__version__

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ee3ae10133edd3d7a05ec0da969be95308a6a693

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py

Python

deepforest/_version.py

ethanwhite/DeepForest-pytorch

027228b431cf56979ea683c43bcf53ad86eb0cfd

[ "MIT" ]

null

deepforest/_version.py

ethanwhite/DeepForest-pytorch

027228b431cf56979ea683c43bcf53ad86eb0cfd

[ "MIT" ]

null

deepforest/_version.py

ethanwhite/DeepForest-pytorch

027228b431cf56979ea683c43bcf53ad86eb0cfd

[ "MIT" ]

null

__version__ = '__version__ = '0.1.43''

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null

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5

ee58d33fb8c1a48ee8c398500f70287b7013d108

144

py

Python

CarRegistration/__init__.py

infiniteloopltd/PyCarRegistrationAPI

2d5b2237caef695325d132a548341bab3ea73938

[ "MIT" ]

null

CarRegistration/__init__.py

infiniteloopltd/PyCarRegistrationAPI

2d5b2237caef695325d132a548341bab3ea73938

[ "MIT" ]

null

CarRegistration/__init__.py

infiniteloopltd/PyCarRegistrationAPI

2d5b2237caef695325d132a548341bab3ea73938

[ "MIT" ]

null

36

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144

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null

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5

ee843b348034f772d0e9893aec548bce29b682de

110

py

Python

sprites/__init__.py

ghandic/FinalSpace

2c048d6e64d4784832cdf0d256494dfbfd357be6

[ "MIT" ]

null

sprites/__init__.py

ghandic/FinalSpace

2c048d6e64d4784832cdf0d256494dfbfd357be6

[ "MIT" ]

null

sprites/__init__.py

ghandic/FinalSpace

2c048d6e64d4784832cdf0d256494dfbfd357be6

[ "MIT" ]

null

from .earth import Earth from .enemy import Enemy from .player import Player from .explosion import Explosion

22

32

0.818182

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110

5.625

0.375

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0.145455

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5

c9d6ffde5a427a71fde0b0009ea514f5c2a17e28

106

py

Python

ifthen/statements/thens/0001.py

tinyx/yitao.io

8a3a75016e417b4c158bca0ceae98a589b2adff2

[ "MIT" ]

null

ifthen/statements/thens/0001.py

tinyx/yitao.io

8a3a75016e417b4c158bca0ceae98a589b2adff2

[ "MIT" ]

12

2020-06-05T19:26:11.000Z

2022-03-11T23:33:24.000Z

ifthen/statements/thens/0001.py

tinyx/yitao.io

8a3a75016e417b4c158bca0ceae98a589b2adff2

[ "MIT" ]

null

def execute(operating_player, opponent_player): operating_player.attack = operating_player.attack + 5

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106

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4e56eeb6602a3b17f651d53f9d8f8c4cbe4c5a40

142

py

Python

students/admin.py

wjarczak/WSB-CRUD

fe866bf848cb06e9b747ab649ef6f821e06b613e

[ "MIT" ]

null

students/admin.py

wjarczak/WSB-CRUD

fe866bf848cb06e9b747ab649ef6f821e06b613e

[ "MIT" ]

null

students/admin.py

wjarczak/WSB-CRUD

fe866bf848cb06e9b747ab649ef6f821e06b613e

[ "MIT" ]

null

from django.contrib import admin from .models import Student, Representative admin.site.register(Student) admin.site.register(Representative)

28.4

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6.666667

0.555556

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4eb6577486dfa10dc3c459fcc28dd50d4af9a280

12,797

py

Python

algoritmo.py

jorgemauricio/procesamiento_he5

931a7d9278b7b6ff84f5cea85452f695a3cafb93

[ "MIT" ]

null

algoritmo.py

jorgemauricio/procesamiento_he5

931a7d9278b7b6ff84f5cea85452f695a3cafb93

[ "MIT" ]

null

algoritmo.py

jorgemauricio/procesamiento_he5

931a7d9278b7b6ff84f5cea85452f695a3cafb93

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ ####################################### # Script que permite la generación # automática de mapas de particulas en el # aire # Author: Jorge Mauricio # Email: jorge.ernesto.mauricio@gmail.com # Date: Created on Thu Sep 28 08:38:15 2017 # Version: 1.0 ####################################### """ # librerías import os import pandas as pd import numpy as np import h5py import requests from bs4 import BeautifulSoup import urllib.request import sys import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap import time from time import gmtime, strftime import schedule # límites Lat y Long LONG_MIN = -115 LONG_MAX = -111 LAT_MIN = 29 LAT_MAX = 32 PATH = "/home/jorge/Documents/Research/procesamiento_he5" array_URLs = ["https://acdisc.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level3/OMNO2d.003/2018/", "https://acdisc.gsfc.nasa.gov/data/Aura_OMI_Level3/OMDOAO3e.003/2018/", "https://acdisc.gsfc.nasa.gov/data/Aura_OMI_Level3/OMSO2e.003/2018/", "https://acdisc.gsfc.nasa.gov/data/Aura_OMI_Level3/OMTO3e.003/2018/", "https://acdisc.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level3/OMAEROe.003/2018/"] #array_URLs = ["https://acdisc.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level3/OMNO2d.003/2018/"] array_Archivo = [] # JOB def job(): # fecha de la descarga # descarga de información descarga_de_archivos() procesamientoNO2() procesamientoO3() procesamientoSO2() procesamientoTO3() procesamientoAERO() # función para procesar NO2 def procesamientoNO2(): # clear plt plt.clf() # Open file. FILE_NAME = array_Archivo[0] DATAFIELD_NAME = 'HDFEOS/GRIDS/ColumnAmountNO2/Data Fields/ColumnAmountNO2' with h5py.File(FILE_NAME, mode='r') as f: # Read dataset. dset = f[DATAFIELD_NAME] data = dset[:] # Handle fill value. data[data == dset.fillvalue] = np.nan data = np.ma.masked_where(np.isnan(data), data) # Get attributes needed for the plot. # String attributes actually come in as the bytes type and should # be decoded to UTF-8 (python3). title = dset.attrs['Title'].decode() units = dset.attrs['Units'].decode() # There is no geolocation data, so construct it ourselves. longitude = np.arange(0., 1440.0) * 0.25 - 180 + 0.125 latitude = np.arange(0., 720.0) * 0.25 - 90 + 0.125 # leer coordenadas dataEstaciones = pd.read_csv("{}/data/coordenadas_estaciones.csv".format(PATH)) xC = np.array(dataEstaciones['Long']) yC = np.array(dataEstaciones['Lat']) # Draw an equidistant cylindrical projection using the low resolution # coastline database. m = Basemap(projection='cyl', resolution='l', llcrnrlat=LAT_MIN, urcrnrlat = LAT_MAX, llcrnrlon=LONG_MIN, urcrnrlon = LONG_MAX) m.scatter(xC, yC, latlon=True, s=1, marker='o', color='r', zorder=25) m.drawcoastlines(linewidth=0.5) m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0]) m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1]) m.pcolormesh(longitude, latitude, data, latlon=True, cmap='jet') cb = m.colorbar() cb.set_label(units) basename = os.path.basename(FILE_NAME) plt.title('{0}\n{1}'.format(basename, title)) fig = plt.gcf() # plt.show() pngfile = "{}.png".format(basename) fig.savefig(pngfile, dpi=600) # función para procesar 03 def procesamientoO3(): # clear plt plt.clf() # Open file. FILE_NAME = array_Archivo[1] DATAFIELD_NAME = 'HDFEOS/GRIDS/ColumnAmountO3/Data Fields/ColumnAmountO3' with h5py.File(FILE_NAME, mode='r') as f: # Read dataset. dset = f[DATAFIELD_NAME] data = dset[:] # Handle fill value. data[data == dset.fillvalue] = np.nan data = np.ma.masked_where(np.isnan(data), data) # Get attributes needed for the plot. # String attributes actually come in as the bytes type and should # be decoded to UTF-8 (python3). title = dset.attrs['Title'].decode() units = dset.attrs['Units'].decode() # There is no geolocation data, so construct it ourselves. longitude = np.arange(0., 1440.0) * 0.25 - 180 + 0.125 latitude = np.arange(0., 720.0) * 0.25 - 90 + 0.125 # leer coordenadas dataEstaciones = pd.read_csv("{}/data/coordenadas_estaciones.csv".format(PATH)) xC = np.array(dataEstaciones['Long']) yC = np.array(dataEstaciones['Lat']) # Draw an equidistant cylindrical projection using the low resolution # coastline database. m = Basemap(projection='cyl', resolution='l', llcrnrlat=LAT_MIN, urcrnrlat = LAT_MAX, llcrnrlon=LONG_MIN, urcrnrlon = LONG_MAX) m.scatter(xC, yC, latlon=True, s=1, marker='o', color='r', zorder=25) m.drawcoastlines(linewidth=0.5) m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0]) m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1]) m.pcolormesh(longitude, latitude, data, latlon=True, cmap='jet') cb = m.colorbar() cb.set_label(units) basename = os.path.basename(FILE_NAME) plt.title('{0}\n{1}'.format(basename, title)) fig = plt.gcf() # plt.show() pngfile = "{}.png".format(basename) fig.savefig(pngfile, dpi=600) # función para procesar SO2 def procesamientoSO2(): # clear plt plt.clf() # Open file. FILE_NAME = array_Archivo[2] DATAFIELD_NAME = 'HDFEOS/GRIDS/OMI Total Column Amount SO2/Data Fields/ColumnAmountSO2_PBL' with h5py.File(FILE_NAME, mode='r') as f: # Read dataset. dset = f[DATAFIELD_NAME] data = dset[:] # Handle fill value. data[data == dset.fillvalue] = np.nan data = np.ma.masked_where(np.isnan(data), data) # Get attributes needed for the plot. # String attributes actually come in as the bytes type and should # be decoded to UTF-8 (python3). title = dset.attrs['Title'].decode() units = dset.attrs['Units'].decode() # There is no geolocation data, so construct it ourselves. longitude = np.arange(0., 1440.0) * 0.25 - 180 + 0.125 latitude = np.arange(0., 720.0) * 0.25 - 90 + 0.125 # leer coordenadas dataEstaciones = pd.read_csv("{}/data/coordenadas_estaciones.csv".format(PATH)) xC = np.array(dataEstaciones['Long']) yC = np.array(dataEstaciones['Lat']) # Draw an equidistant cylindrical projection using the low resolution # coastline database. m = Basemap(projection='cyl', resolution='l', llcrnrlat=LAT_MIN, urcrnrlat = LAT_MAX, llcrnrlon=LONG_MIN, urcrnrlon = LONG_MAX) m.scatter(xC, yC, latlon=True, s=1, marker='o', color='r', zorder=25) m.drawcoastlines(linewidth=0.5) m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0]) m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1]) m.pcolormesh(longitude, latitude, data, latlon=True, cmap='jet') cb = m.colorbar() cb.set_label(units) basename = os.path.basename(FILE_NAME) plt.title('{0}\n{1}'.format(basename, title)) fig = plt.gcf() # plt.show() pngfile = "{}.png".format(basename) fig.savefig(pngfile, dpi=600) # función para procesar TO3 def procesamientoTO3(): # clear plt plt.clf() # Open file. FILE_NAME = array_Archivo[3] DATAFIELD_NAME = 'HDFEOS/GRIDS/OMI Column Amount O3/Data Fields/ColumnAmountO3' with h5py.File(FILE_NAME, mode='r') as f: # Read dataset. dset = f[DATAFIELD_NAME] data = dset[:] # Handle fill value. data[data == dset.fillvalue] = np.nan data = np.ma.masked_where(np.isnan(data), data) # Get attributes needed for the plot. # String attributes actually come in as the bytes type and should # be decoded to UTF-8 (python3). title = dset.attrs['Title'].decode() units = dset.attrs['Units'].decode() # There is no geolocation data, so construct it ourselves. longitude = np.arange(0., 1440.0) * 0.25 - 180 + 0.125 latitude = np.arange(0., 720.0) * 0.25 - 90 + 0.125 # leer coordenadas dataEstaciones = pd.read_csv("{}/data/coordenadas_estaciones.csv".format(PATH)) xC = np.array(dataEstaciones['Long']) yC = np.array(dataEstaciones['Lat']) # Draw an equidistant cylindrical projection using the low resolution # coastline database. m = Basemap(projection='cyl', resolution='l', llcrnrlat=LAT_MIN, urcrnrlat = LAT_MAX, llcrnrlon=LONG_MIN, urcrnrlon = LONG_MAX) m.scatter(xC, yC, latlon=True, s=1, marker='o', color='r', zorder=25) m.drawcoastlines(linewidth=0.5) m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0]) m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1]) m.pcolormesh(longitude, latitude, data, latlon=True, cmap='jet') cb = m.colorbar() cb.set_label(units) basename = os.path.basename(FILE_NAME) plt.title('{0}\n{1}'.format(basename, title)) fig = plt.gcf() # plt.show() pngfile = "{}.png".format(basename) fig.savefig(pngfile, dpi=600) # función para procesar TO3 def procesamientoAERO(): # clear plt plt.clf() # Open file. FILE_NAME = array_Archivo[4] DATAFIELD_NAME = 'HDFEOS/GRIDS/ColumnAmountAerosol/Data Fields/UVAerosolIndex' with h5py.File(FILE_NAME, mode='r') as f: # Read dataset. dset = f[DATAFIELD_NAME] data = dset[:] # Handle fill value. data[data == dset.fillvalue] = np.nan data = np.ma.masked_where(np.isnan(data), data) # Get attributes needed for the plot. # String attributes actually come in as the bytes type and should # be decoded to UTF-8 (python3). title = dset.attrs['Title'].decode() units = dset.attrs['Units'].decode() # There is no geolocation data, so construct it ourselves. longitude = np.arange(0., 1440.0) * 0.25 - 180 + 0.125 latitude = np.arange(0., 720.0) * 0.25 - 90 + 0.125 # leer coordenadas dataEstaciones = pd.read_csv("{}/data/coordenadas_estaciones.csv".format(PATH)) xC = np.array(dataEstaciones['Long']) yC = np.array(dataEstaciones['Lat']) # Draw an equidistant cylindrical projection using the low resolution # coastline database. m = Basemap(projection='cyl', resolution='l', llcrnrlat=LAT_MIN, urcrnrlat = LAT_MAX, llcrnrlon=LONG_MIN, urcrnrlon = LONG_MAX) m.scatter(xC, yC, latlon=True, s=1, marker='o', color='r', zorder=25) m.drawcoastlines(linewidth=0.5) m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0]) m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1]) m.pcolormesh(longitude, latitude, data, latlon=True, cmap='jet') cb = m.colorbar() cb.set_label(units) basename = os.path.basename(FILE_NAME) plt.title('{0}\n{1}'.format(basename, title)) fig = plt.gcf() # plt.show() pngfile = "{}.png".format(basename) fig.savefig(pngfile, dpi=600) # función descarga de archivos def descarga_de_archivos(): # fecha de la descarga fechaPronostico = strftime("%Y-%m-%d") # cambiar a carpeta data os.chdir("{}/data".format(PATH)) # crear directorio de fecha de descarga os.mkdir("{}/data/{}".format(PATH,fechaPronostico)) # cambiar de directorio a data os.chdir("{}/data/{}".format(PATH,fechaPronostico)) # ciclo para la descarga de información for URL in array_URLs: # generar la consulta de información r = requests.get(URL) # parsear el html para determinar los links a descargar soup = BeautifulSoup(r.text, "html.parser") # crear un array para guardar los links array_links = [] # ciclo para filtrar los links con información for link in soup.find_all("a"): array_links.append(link.get("href")) # nombre del archivo a descargar nombre_archivo = array_links[-5] # imprimir el nombre del archivo print(nombre_archivo) # guardar el nombre del archivo para el post procesamiento array_Archivo.append(nombre_archivo) # generar el url para la descarga de información URL_DESCARGA = "{}{}".format(URL, nombre_archivo) # print url de descarga print(URL_DESCARGA) os.system("wget --load-cookies ~/.urs_cookies --save-cookies ~/.urs_cookies --keep-session-cookies {}".format(URL_DESCARGA)) schedule.every().day.at("07:00").do(job) while 1: schedule.run_pending() time.sleep(1)

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14d09aebc19521be5aaa6063a2a93a5ace207e9d

54

py

Python

django_filters/__init__.py

buriy/django-filter

7abbb68f103e00031bbc0e882dfa2ccfd3b717d6

[ "BSD-3-Clause" ]

null

django_filters/__init__.py

buriy/django-filter

7abbb68f103e00031bbc0e882dfa2ccfd3b717d6

[ "BSD-3-Clause" ]

null

django_filters/__init__.py

buriy/django-filter

7abbb68f103e00031bbc0e882dfa2ccfd3b717d6

[ "BSD-3-Clause" ]

1

2019-02-24T08:35:08.000Z

from filterset import FilterSet from filters import *

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090681d321b51766a36c06a225aae094402f0802

15,814

py

Python

tests/test_utilities.py

andymeneely/attack-surface-metrics

9cef791a79771ee29f18a0da2159f36c3df32755

[ "MIT" ]

16

2015-12-25T10:53:10.000Z

2022-02-26T08:27:55.000Z

tests/test_utilities.py

andymeneely/attack-surface-metrics

9cef791a79771ee29f18a0da2159f36c3df32755

[ "MIT" ]

30

2015-01-29T19:34:31.000Z

2021-06-10T17:22:57.000Z

tests/test_utilities.py

andymeneely/attack-surface-metrics

9cef791a79771ee29f18a0da2159f36c3df32755

[ "MIT" ]

4

2016-11-03T15:59:42.000Z

2020-10-29T17:56:59.000Z

import copy import os import unittest import networkx as nx from attacksurfacemeter import utilities from attacksurfacemeter.call import Call from attacksurfacemeter.call_graph import CallGraph from attacksurfacemeter.environments import Environments from attacksurfacemeter.loaders.cflow_loader import CflowLoader from attacksurfacemeter.loaders.gprof_loader import GprofLoader class UtilitiesTestCase(unittest.TestCase): def test_fix(self): # Arrange target = CallGraph.from_loader( CflowLoader( os.path.join( os.path.dirname(os.path.realpath(__file__)), 'helloworld/cflow.callgraph.r.mod.txt' ), True ) ) _target = copy.deepcopy(target) reference = CallGraph.from_loader( GprofLoader( os.path.join( os.path.dirname(os.path.realpath(__file__)), 'helloworld/gprof.callgraph.txt' ) ) ) expected = { 'before': Call('GreeterSayHi', '', Environments.C), 'after': Call('GreeterSayHi', './src/helloworld.c', Environments.C) } # Act utilities.fix(target, using=reference) actual = { 'before': next( i for (i, _) in _target.nodes if i.function_name == 'GreeterSayHi' ), 'after': next( i for (i, _) in target.nodes if i.function_name == 'GreeterSayHi' ) } # Assert self.assertEqual(expected['before'], actual['before']) self.assertEqual(expected['after'], actual['after']) # Asserting if node attributes got carried over self.assertCountEqual( [ attrs for (i, attrs) in _target.nodes if i == expected['before'] ], [ attrs for (i, attrs) in target.nodes if i == expected['after'] ] ) # Asserting if edge attributes got carried over self.assertCountEqual( [ attrs for (i, j, attrs) in _target.edges if i == expected['before'] or j == expected['before'] ], [ attrs for (i, j, attrs) in target.edges if i == expected['after'] or j == expected['after'] ], ) # Asserting if OTHER nodes and their attributes got carried over self.assertCountEqual( [ (i, attrs) for (i, attrs) in _target.nodes if i != expected['before'] ], [ (i, attrs) for (i, attrs) in target.nodes if i != expected['after'] ] ) # Asserting if OTHER edges and their attributes got carried over self.assertCountEqual( [ (i, j, attrs) for (i, j, attrs) in _target.edges if i != expected['before'] and j != expected['before'] ], [ (i, j, attrs) for (i, j, attrs) in target.edges if i != expected['after'] and j != expected['after'] ], ) def test_get_fragments(self): # Arrange # a -- b e -- f -- g # | | # | | # d -- c h -- i j graph = nx.DiGraph() graph.add_nodes_from( ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'] ) graph.add_edges_from([ ('a', 'b'), ('b', 'a'), ('b', 'c'), ('c', 'b'), ('c', 'd'), ('d', 'c'), ('d', 'a'), ('a', 'd'), ('e', 'f'), ('f', 'e'), ('f', 'g'), ('g', 'f'), ('h', 'i'), ('i', 'h') ]) expected = [None] * 4 expected[0] = nx.DiGraph() expected[0].add_nodes_from(['a', 'b', 'c', 'd']) expected[0].add_edges_from([ ('a', 'b'), ('b', 'a'), ('b', 'c'), ('c', 'b'), ('c', 'd'), ('d', 'c'), ('d', 'a'), ('a', 'd') ]) expected[1] = nx.DiGraph() expected[1].add_nodes_from(['e', 'f', 'g']) expected[1].add_edges_from( [('e', 'f'), ('f', 'e'), ('f', 'g'), ('g', 'f')] ) expected[2] = nx.DiGraph() expected[2].add_nodes_from(['h', 'i']) expected[2].add_edges_from([('i', 'h'), ('h', 'i')]) expected[3] = nx.DiGraph() expected[3].add_nodes_from(['j']) # Act actual = utilities.get_fragments(graph) actual.sort(key=lambda i: len(i.nodes()), reverse=True) # Assert self.assertEqual(len(expected), len(actual)) for i in range(4): self.assertCountEqual(expected[i].nodes(), actual[i].nodes()) self.assertCountEqual(expected[i].edges(), actual[i].edges()) def test_get_fragments_for_undirected(self): # Arrange # a -- b e -- f -- g # | | # | | # d -- c h -- i j graph = nx.Graph() graph.add_nodes_from( ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'] ) graph.add_edges_from([ ('a', 'b'), ('b', 'c'), ('c', 'd'), ('d', 'a'), ('e', 'f'), ('f', 'g'), ('h', 'i') ]) # Assert self.assertRaises(Exception, utilities.get_fragments, graph) def test_get_largest_fragment(self): # Arrange # a -- b e -- f -- g # | | # | | # d -- c h -- i j graph = nx.DiGraph() graph.add_nodes_from( ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'] ) graph.add_edges_from([ ('a', 'b'), ('b', 'a'), ('b', 'c'), ('c', 'b'), ('c', 'd'), ('d', 'c'), ('d', 'a'), ('a', 'd'), ('e', 'f'), ('f', 'e'), ('f', 'g'), ('g', 'f'), ('h', 'i'), ('i', 'h') ]) expected = nx.DiGraph() expected.add_nodes_from(['a', 'b', 'c', 'd']) expected.add_edges_from([ ('a', 'b'), ('b', 'a'), ('b', 'c'), ('c', 'b'), ('c', 'd'), ('d', 'c'), ('d', 'a'), ('a', 'd') ]) # Act actual = utilities.get_largest_fragment(utilities.get_fragments(graph)) # Assert self.assertCountEqual(expected.nodes(), actual.nodes()) self.assertCountEqual(expected.edges(), actual.edges()) def test_get_node_attrs(self): # Scenario: main -- printf (cflow) # Arrange source = 'cflow' caller = Call('main', 'main.c', Environments.C) callee = Call('printf', '', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, list(), list() ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' not in caller_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNone(callee_attrs) # Scenario: main -- printf (gprof) # Arrange source = 'gprof' caller = Call('main', 'main.c', Environments.C) callee = Call('printf', '', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, list(), list() ) # Assert # Caller Attributes self.assertTrue('tested' in caller_attrs) self.assertTrue('defense' not in caller_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNone(callee_attrs) # Scenario: main -- None (gprof) # Arrange source = 'gprof' caller = Call('main', 'main.c', Environments.C) callee = None # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, list(), list() ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' not in caller_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNone(callee_attrs) # Scenario: main -- validate* (cflow) # * Designed defense # Arrange source = 'cflow' defenses = [Call('validate', 'utils.c', Environments.C)] caller = Call('main', 'main.c', Environments.C) callee = Call('validate', 'utils.c', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, defenses, list() ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' not in caller_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNotNone(callee_attrs) self.assertTrue('tested' not in callee_attrs) self.assertTrue('defense' in callee_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertEqual(callee_attrs['frequency'], 1) # Scenario: main -- validate* (cflow) # * Vulnerable # Arrange source = 'cflow' vulnerabilities = [Call('validate', 'utils.c', Environments.C)] caller = Call('main', 'main.c', Environments.C) callee = Call('validate', 'utils.c', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, list(), vulnerabilities ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' not in callee_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNotNone(callee_attrs) self.assertTrue('tested' not in callee_attrs) self.assertTrue('defense' not in callee_attrs) self.assertTrue('vulnerable' in callee_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertEqual(callee_attrs['frequency'], 1) # Scenario: main* -- validate+ (cflow) # * Vulnerable # + Designed defense and vulnerable # Arrange source = 'cflow' defenses = [Call('validate', 'utils.c', Environments.C)] vulnerabilities = [ Call('main', 'main.c', Environments.C), Call('validate', 'utils.c', Environments.C) ] caller = Call('main', 'main.c', Environments.C) callee = Call('validate', 'utils.c', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, defenses, vulnerabilities ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' not in caller_attrs) self.assertTrue('vulnerable' in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNotNone(callee_attrs) self.assertTrue('tested' not in callee_attrs) self.assertTrue('defense' in callee_attrs) self.assertTrue('vulnerable' in callee_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertEqual(callee_attrs['frequency'], 1) # Scenario: main* -- validate+ (cflow) # * Designed defense # + Designed defense and vulnerable # Arrange source = 'cflow' defenses = [ Call('main', 'main.c', Environments.C), Call('validate', 'utils.c', Environments.C) ] vulnerabilities = [ Call('main', 'main.c', Environments.C), Call('validate', 'utils.c', Environments.C) ] caller = Call('main', 'main.c', Environments.C) callee = Call('validate', 'utils.c', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, defenses, vulnerabilities ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' in caller_attrs) self.assertTrue('vulnerable' in caller_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNotNone(callee_attrs) self.assertTrue('tested' not in callee_attrs) self.assertTrue('defense' in callee_attrs) self.assertTrue('vulnerable' in callee_attrs) self.assertTrue('dangerous' not in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertEqual(callee_attrs['frequency'], 1) # Scenario: main -- chown (cflow) # Arrange source = 'cflow' caller = Call('main', 'main.c', Environments.C) callee = Call('chown', '', Environments.C) # Act (caller_attrs, callee_attrs) = utilities.get_node_attrs( source, caller, callee, list(), list() ) # Assert # Caller Attributes self.assertTrue('tested' not in caller_attrs) self.assertTrue('defense' not in caller_attrs) self.assertTrue('vulnerable' not in caller_attrs) self.assertTrue('dangerous' in caller_attrs) self.assertTrue('entry' not in caller_attrs) self.assertTrue('exit' not in caller_attrs) self.assertTrue('frequency' not in caller_attrs) # Callee Attributes self.assertIsNone(callee_attrs) if __name__ == '__main__': unittest.main()

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null

0

1

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null

0

5

09399de3c6bdc0215bd7f2ca80432b7f381157d3

150

py

Python

gluoncv/data/video_custom/__init__.py

Kentwhf/gluon-cv

bab5c029793d4da20b5c14846a0db58cfbe21d6d

[ "Apache-2.0" ]

48

2021-04-08T13:34:55.000Z

2022-03-29T09:36:53.000Z

gluoncv/data/video_custom/__init__.py

xuefeiwang12/gluon-cv

ce90b0e65444c593a860a46f8d070b4c4095dbba

[ "Apache-2.0" ]

null

gluoncv/data/video_custom/__init__.py

xuefeiwang12/gluon-cv

ce90b0e65444c593a860a46f8d070b4c4095dbba

[ "Apache-2.0" ]

1

2021-04-10T04:44:07.000Z

# pylint: disable=wildcard-import """Video related tasks. Custom data loader """ from __future__ import absolute_import from .classification import *

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1

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1

0

5

09585c82dbf6886677b381dc5d6ed58e52b2030a

266

py

Python

tottle/types/objects/contact.py

muffleo/tottle

69a5bdda879ab56d43505d517d3369a687c135a2

[ "MIT" ]

12

2020-09-06T15:31:34.000Z

2021-02-27T20:30:34.000Z

tottle/types/objects/contact.py

cyanlabs-org/tottle

6cf02022ed7b445c9b5af475c6e854b91780d792

[ "MIT" ]

2

2021-04-13T06:43:42.000Z

2021-07-07T20:52:39.000Z

tottle/types/objects/contact.py

cyanlabs-org/tottle

6cf02022ed7b445c9b5af475c6e854b91780d792

[ "MIT" ]

4

2020-09-12T03:09:25.000Z

2021-03-22T08:52:04.000Z

from typing import Optional from pydantic import BaseModel class Contact(BaseModel): phone_number: Optional[str] = None first_name: Optional[str] = None last_name: Optional[str] = None user_id: Optional[int] = None vcard: Optional[str] = None

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null

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5

117036e3ecad7d781f1f1e9e61c483e6031266d3

620

py

Python

src/pysparkbundle/filesystem/FilesystemInterface.py

daipe-ai/pyspark-bundle

ffbb0f8835b69646a235ae4d7d1f4eaa03a05ea0

[ "MIT" ]

null

src/pysparkbundle/filesystem/FilesystemInterface.py

daipe-ai/pyspark-bundle

ffbb0f8835b69646a235ae4d7d1f4eaa03a05ea0

[ "MIT" ]

null

src/pysparkbundle/filesystem/FilesystemInterface.py

daipe-ai/pyspark-bundle

ffbb0f8835b69646a235ae4d7d1f4eaa03a05ea0

[ "MIT" ]

null

from abc import ABC, abstractmethod class FilesystemInterface(ABC): @abstractmethod def exists(self, path: str): pass @abstractmethod def put(self, path: str, content: str, overwrite: bool = False): pass @abstractmethod def makedirs(self, path: str): pass @abstractmethod def copy(self, source: str, destination: str, recursive: bool = False): pass @abstractmethod def move(self, source: str, destination: str, recursive: bool = False): pass @abstractmethod def delete(self, path: str, recursive: bool = False): pass

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0.497462

0.335025

0

0.270968

620

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null

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null

0

1

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1

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5

1185ea2b17424560cd9377235ba7c2e89380c41b

58

py

Python

grb/dataset/__init__.py

Stanislas0/grb

96fc521f57fdb06ab6a3c442fcf4a8bc97894829

[ "MIT" ]

null

grb/dataset/__init__.py

Stanislas0/grb

96fc521f57fdb06ab6a3c442fcf4a8bc97894829

[ "MIT" ]

null

grb/dataset/__init__.py

Stanislas0/grb

96fc521f57fdb06ab6a3c442fcf4a8bc97894829

[ "MIT" ]

null

from .dataset import Dataset, CustomDataset, CogDLDataset

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1

0

1

0

1

0

5

eea55d6ca00241662c10e7989d60768fb244bfe0

57

py

Python

nygame/_quietload.py

nfearnley/nygame

221abf9ec1cff8fc577704969cf1f843e1fb4352

[ "MIT" ]

1

2021-06-07T22:12:05.000Z

nygame/_quietload.py

nfearnley/nygame

221abf9ec1cff8fc577704969cf1f843e1fb4352

[ "MIT" ]

null

nygame/_quietload.py

nfearnley/nygame

221abf9ec1cff8fc577704969cf1f843e1fb4352

[ "MIT" ]

null

import os os.environ["PYGAME_HIDE_SUPPORT_PROMPT"] = "1"

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null

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5

eebee4a4f91ccf126142c3850d5f1f3df59b0f9c

189,704

py

Python

esociallib/v2_04/evtCdBenPrRP.py

akretion/esociallib

2472d68b45610638cf10d87aeed48b917ebae6d8

[ "MIT" ]

6

2018-02-16T09:59:35.000Z

2021-09-01T20:40:02.000Z

esociallib/v2_04/evtCdBenPrRP.py

akretion/esociallib

2472d68b45610638cf10d87aeed48b917ebae6d8

[ "MIT" ]

2

2018-02-02T19:32:21.000Z

2019-01-25T14:43:05.000Z

esociallib/v2_04/evtCdBenPrRP.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 00:42:21 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/evtCdBenPrRP.py') # # Command line arguments: # schemas/v2_04/evtCdBenPrRP.xsd # # Command line: # /usr/local/bin/generateDS --no-process-includes -o "esociallib/v2_04/evtCdBenPrRP.py" schemas/v2_04/evtCdBenPrRP.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, evtCdBenPrRP=None, Signature=None): self.original_tagname_ = None self.evtCdBenPrRP = evtCdBenPrRP 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_evtCdBenPrRP(self): return self.evtCdBenPrRP def set_evtCdBenPrRP(self, evtCdBenPrRP): self.evtCdBenPrRP = evtCdBenPrRP def get_Signature(self): return self.Signature def set_Signature(self, Signature): self.Signature = Signature def hasContent_(self): if ( self.evtCdBenPrRP 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.evtCdBenPrRP is not None: self.evtCdBenPrRP.export(outfile, level, namespace_, name_='evtCdBenPrRP', 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_ == 'evtCdBenPrRP': obj_ = evtCdBenPrRP.factory() obj_.build(child_) self.evtCdBenPrRP = obj_ obj_.original_tagname_ = 'evtCdBenPrRP' elif nodeName_ == 'Signature': Signature_ = child_.text Signature_ = self.gds_validate_string(Signature_, node, 'Signature') self.Signature = Signature_ # end class eSocial class evtCdBenPrRP(GeneratedsSuper): """Evento de cadastro de benefícios previdenciários de Regimes Próprios""" subclass = None superclass = None def __init__(self, Id=None, ideEvento=None, ideEmpregador=None, ideBenef=None, infoBeneficio=None): self.original_tagname_ = None self.Id = _cast(None, Id) self.ideEvento = ideEvento self.ideEmpregador = ideEmpregador self.ideBenef = ideBenef self.infoBeneficio = infoBeneficio def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, evtCdBenPrRP) if subclass is not None: return subclass(*args_, **kwargs_) if evtCdBenPrRP.subclass: return evtCdBenPrRP.subclass(*args_, **kwargs_) else: return evtCdBenPrRP(*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_ideBenef(self): return self.ideBenef def set_ideBenef(self, ideBenef): self.ideBenef = ideBenef def get_infoBeneficio(self): return self.infoBeneficio def set_infoBeneficio(self, infoBeneficio): self.infoBeneficio = infoBeneficio 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.ideBenef is not None or self.infoBeneficio is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='evtCdBenPrRP', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('evtCdBenPrRP') 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_='evtCdBenPrRP') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='evtCdBenPrRP', 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_='evtCdBenPrRP'): 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_='evtCdBenPrRP', 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.ideBenef is not None: self.ideBenef.export(outfile, level, namespace_, name_='ideBenef', pretty_print=pretty_print) if self.infoBeneficio is not None: self.infoBeneficio.export(outfile, level, namespace_, name_='infoBeneficio', 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_ = TIdeEveTrab.factory() obj_.build(child_) self.ideEvento = obj_ obj_.original_tagname_ = 'ideEvento' elif nodeName_ == 'ideEmpregador': obj_ = TEmprPJ.factory() obj_.build(child_) self.ideEmpregador = obj_ obj_.original_tagname_ = 'ideEmpregador' elif nodeName_ == 'ideBenef': obj_ = ideBenef.factory() obj_.build(child_) self.ideBenef = obj_ obj_.original_tagname_ = 'ideBenef' elif nodeName_ == 'infoBeneficio': obj_ = infoBeneficio.factory() obj_.build(child_) self.infoBeneficio = obj_ obj_.original_tagname_ = 'infoBeneficio' # end class evtCdBenPrRP class ideBenef(GeneratedsSuper): """Identificação do beneficiário""" subclass = None superclass = None def __init__(self, cpfBenef=None, nmBenefic=None, dadosBenef=None): self.original_tagname_ = None self.cpfBenef = cpfBenef self.nmBenefic = nmBenefic self.dadosBenef = dadosBenef def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, ideBenef) if subclass is not None: return subclass(*args_, **kwargs_) if ideBenef.subclass: return ideBenef.subclass(*args_, **kwargs_) else: return ideBenef(*args_, **kwargs_) factory = staticmethod(factory) def get_cpfBenef(self): return self.cpfBenef def set_cpfBenef(self, cpfBenef): self.cpfBenef = cpfBenef def get_nmBenefic(self): return self.nmBenefic def set_nmBenefic(self, nmBenefic): self.nmBenefic = nmBenefic def get_dadosBenef(self): return self.dadosBenef def set_dadosBenef(self, dadosBenef): self.dadosBenef = dadosBenef def hasContent_(self): if ( self.cpfBenef is not None or self.nmBenefic is not None or self.dadosBenef is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='ideBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('ideBenef') 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_='ideBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='ideBenef', 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_='ideBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='ideBenef', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.cpfBenef is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scpfBenef>%s</%scpfBenef>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.cpfBenef), input_name='cpfBenef')), namespace_, eol_)) if self.nmBenefic is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snmBenefic>%s</%snmBenefic>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nmBenefic), input_name='nmBenefic')), namespace_, eol_)) if self.dadosBenef is not None: self.dadosBenef.export(outfile, level, namespace_, name_='dadosBenef', 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_ == 'cpfBenef': cpfBenef_ = child_.text cpfBenef_ = self.gds_validate_string(cpfBenef_, node, 'cpfBenef') self.cpfBenef = cpfBenef_ elif nodeName_ == 'nmBenefic': nmBenefic_ = child_.text nmBenefic_ = self.gds_validate_string(nmBenefic_, node, 'nmBenefic') self.nmBenefic = nmBenefic_ elif nodeName_ == 'dadosBenef': obj_ = TDadosBenef.factory() obj_.build(child_) self.dadosBenef = obj_ obj_.original_tagname_ = 'dadosBenef' # end class ideBenef class cpfBenef(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, cpfBenef) if subclass is not None: return subclass(*args_, **kwargs_) if cpfBenef.subclass: return cpfBenef.subclass(*args_, **kwargs_) else: return cpfBenef(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='cpfBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('cpfBenef') 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_='cpfBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='cpfBenef', 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_='cpfBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='cpfBenef', 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 cpfBenef class nmBenefic(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nmBenefic) if subclass is not None: return subclass(*args_, **kwargs_) if nmBenefic.subclass: return nmBenefic.subclass(*args_, **kwargs_) else: return nmBenefic(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nmBenefic', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nmBenefic') 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_='nmBenefic') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nmBenefic', 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_='nmBenefic'): pass def exportChildren(self, outfile, level, namespace_='', name_='nmBenefic', 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 nmBenefic class infoBeneficio(GeneratedsSuper): """Informações relacionadas ao benefício previdenciário concedido ao servidor""" subclass = None superclass = None def __init__(self, tpPlanRP=None, iniBeneficio=None, altBeneficio=None, fimBeneficio=None): self.original_tagname_ = None self.tpPlanRP = tpPlanRP self.iniBeneficio = iniBeneficio self.altBeneficio = altBeneficio self.fimBeneficio = fimBeneficio def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, infoBeneficio) if subclass is not None: return subclass(*args_, **kwargs_) if infoBeneficio.subclass: return infoBeneficio.subclass(*args_, **kwargs_) else: return infoBeneficio(*args_, **kwargs_) factory = staticmethod(factory) def get_tpPlanRP(self): return self.tpPlanRP def set_tpPlanRP(self, tpPlanRP): self.tpPlanRP = tpPlanRP def get_iniBeneficio(self): return self.iniBeneficio def set_iniBeneficio(self, iniBeneficio): self.iniBeneficio = iniBeneficio def get_altBeneficio(self): return self.altBeneficio def set_altBeneficio(self, altBeneficio): self.altBeneficio = altBeneficio def get_fimBeneficio(self): return self.fimBeneficio def set_fimBeneficio(self, fimBeneficio): self.fimBeneficio = fimBeneficio def hasContent_(self): if ( self.tpPlanRP is not None or self.iniBeneficio is not None or self.altBeneficio is not None or self.fimBeneficio is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='infoBeneficio', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('infoBeneficio') 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_='infoBeneficio') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='infoBeneficio', 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_='infoBeneficio'): pass def exportChildren(self, outfile, level, namespace_='', name_='infoBeneficio', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpPlanRP is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpPlanRP>%s</%stpPlanRP>%s' % (namespace_, self.gds_format_integer(self.tpPlanRP, input_name='tpPlanRP'), namespace_, eol_)) if self.iniBeneficio is not None: self.iniBeneficio.export(outfile, level, namespace_, name_='iniBeneficio', pretty_print=pretty_print) if self.altBeneficio is not None: self.altBeneficio.export(outfile, level, namespace_, name_='altBeneficio', pretty_print=pretty_print) if self.fimBeneficio is not None: self.fimBeneficio.export(outfile, level, namespace_, name_='fimBeneficio', 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_ == 'tpPlanRP': 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, 'tpPlanRP') self.tpPlanRP = ival_ elif nodeName_ == 'iniBeneficio': obj_ = TDadosBeneficio.factory() obj_.build(child_) self.iniBeneficio = obj_ obj_.original_tagname_ = 'iniBeneficio' elif nodeName_ == 'altBeneficio': obj_ = TDadosBeneficio.factory() obj_.build(child_) self.altBeneficio = obj_ obj_.original_tagname_ = 'altBeneficio' elif nodeName_ == 'fimBeneficio': obj_ = fimBeneficio.factory() obj_.build(child_) self.fimBeneficio = obj_ obj_.original_tagname_ = 'fimBeneficio' # end class infoBeneficio class tpPlanRP(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpPlanRP) if subclass is not None: return subclass(*args_, **kwargs_) if tpPlanRP.subclass: return tpPlanRP.subclass(*args_, **kwargs_) else: return tpPlanRP(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpPlanRP', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpPlanRP') 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_='tpPlanRP') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpPlanRP', 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_='tpPlanRP'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpPlanRP', 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 tpPlanRP class fimBeneficio(GeneratedsSuper): """Informações relativas a benefícios previdenciários - Término. Validação: Só pode ser informado se já houver informação anterior de benefícios para o beneficiário identificado em {ideBenef} e para o qual não tenha havido ainda informação de término de benefícios.""" subclass = None superclass = None def __init__(self, tpBenef=None, nrBenefic=None, dtFimBenef=None, mtvFim=None): self.original_tagname_ = None self.tpBenef = tpBenef self.nrBenefic = nrBenefic if isinstance(dtFimBenef, BaseStrType_): initvalue_ = datetime_.datetime.strptime(dtFimBenef, '%Y-%m-%d').date() else: initvalue_ = dtFimBenef self.dtFimBenef = initvalue_ self.mtvFim = mtvFim def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, fimBeneficio) if subclass is not None: return subclass(*args_, **kwargs_) if fimBeneficio.subclass: return fimBeneficio.subclass(*args_, **kwargs_) else: return fimBeneficio(*args_, **kwargs_) factory = staticmethod(factory) def get_tpBenef(self): return self.tpBenef def set_tpBenef(self, tpBenef): self.tpBenef = tpBenef def get_nrBenefic(self): return self.nrBenefic def set_nrBenefic(self, nrBenefic): self.nrBenefic = nrBenefic def get_dtFimBenef(self): return self.dtFimBenef def set_dtFimBenef(self, dtFimBenef): self.dtFimBenef = dtFimBenef def get_mtvFim(self): return self.mtvFim def set_mtvFim(self, mtvFim): self.mtvFim = mtvFim def hasContent_(self): if ( self.tpBenef is not None or self.nrBenefic is not None or self.dtFimBenef is not None or self.mtvFim is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='fimBeneficio', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('fimBeneficio') 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_='fimBeneficio') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='fimBeneficio', 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_='fimBeneficio'): pass def exportChildren(self, outfile, level, namespace_='', name_='fimBeneficio', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpBenef is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpBenef>%s</%stpBenef>%s' % (namespace_, self.gds_format_integer(self.tpBenef, input_name='tpBenef'), namespace_, eol_)) if self.nrBenefic is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrBenefic>%s</%snrBenefic>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrBenefic), input_name='nrBenefic')), namespace_, eol_)) if self.dtFimBenef is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sdtFimBenef>%s</%sdtFimBenef>%s' % (namespace_, self.gds_format_date(self.dtFimBenef, input_name='dtFimBenef'), namespace_, eol_)) if self.mtvFim is not None: showIndent(outfile, level, pretty_print) outfile.write('<%smtvFim>%s</%smtvFim>%s' % (namespace_, self.gds_format_integer(self.mtvFim, input_name='mtvFim'), 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_ == 'tpBenef': 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, 'tpBenef') self.tpBenef = ival_ elif nodeName_ == 'nrBenefic': nrBenefic_ = child_.text nrBenefic_ = self.gds_validate_string(nrBenefic_, node, 'nrBenefic') self.nrBenefic = nrBenefic_ elif nodeName_ == 'dtFimBenef': sval_ = child_.text dval_ = self.gds_parse_date(sval_) self.dtFimBenef = dval_ elif nodeName_ == 'mtvFim': 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, 'mtvFim') self.mtvFim = ival_ # end class fimBeneficio class tpBenef(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpBenef) if subclass is not None: return subclass(*args_, **kwargs_) if tpBenef.subclass: return tpBenef.subclass(*args_, **kwargs_) else: return tpBenef(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpBenef') 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_='tpBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpBenef', 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_='tpBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpBenef', 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 tpBenef class nrBenefic(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nrBenefic) if subclass is not None: return subclass(*args_, **kwargs_) if nrBenefic.subclass: return nrBenefic.subclass(*args_, **kwargs_) else: return nrBenefic(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nrBenefic', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nrBenefic') 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_='nrBenefic') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nrBenefic', 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_='nrBenefic'): pass def exportChildren(self, outfile, level, namespace_='', name_='nrBenefic', 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 nrBenefic class dtFimBenef(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, dtFimBenef) if subclass is not None: return subclass(*args_, **kwargs_) if dtFimBenef.subclass: return dtFimBenef.subclass(*args_, **kwargs_) else: return dtFimBenef(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='dtFimBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('dtFimBenef') 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_='dtFimBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='dtFimBenef', 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_='dtFimBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='dtFimBenef', 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 dtFimBenef class mtvFim(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, mtvFim) if subclass is not None: return subclass(*args_, **kwargs_) if mtvFim.subclass: return mtvFim.subclass(*args_, **kwargs_) else: return mtvFim(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='mtvFim', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('mtvFim') 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_='mtvFim') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='mtvFim', 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_='mtvFim'): pass def exportChildren(self, outfile, level, namespace_='', name_='mtvFim', 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 mtvFim class TIdeEveTrab(GeneratedsSuper): """Identificação do evento""" subclass = None superclass = None def __init__(self, indRetif=None, nrRecibo=None, tpAmb=None, procEmi=None, verProc=None): self.original_tagname_ = None self.indRetif = indRetif self.nrRecibo = nrRecibo self.tpAmb = tpAmb self.procEmi = procEmi self.verProc = verProc def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TIdeEveTrab) if subclass is not None: return subclass(*args_, **kwargs_) if TIdeEveTrab.subclass: return TIdeEveTrab.subclass(*args_, **kwargs_) else: return TIdeEveTrab(*args_, **kwargs_) factory = staticmethod(factory) def get_indRetif(self): return self.indRetif def set_indRetif(self, indRetif): self.indRetif = indRetif def get_nrRecibo(self): return self.nrRecibo def set_nrRecibo(self, nrRecibo): self.nrRecibo = nrRecibo 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.indRetif is not None or self.nrRecibo is not None or 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_='TIdeEveTrab', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TIdeEveTrab') 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_='TIdeEveTrab') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TIdeEveTrab', 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_='TIdeEveTrab'): pass def exportChildren(self, outfile, level, namespace_='', name_='TIdeEveTrab', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.indRetif is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sindRetif>%s</%sindRetif>%s' % (namespace_, self.gds_format_integer(self.indRetif, input_name='indRetif'), namespace_, eol_)) if self.nrRecibo is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrRecibo>%s</%snrRecibo>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrRecibo), input_name='nrRecibo')), namespace_, 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_ == 'indRetif': 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, 'indRetif') self.indRetif = ival_ elif nodeName_ == 'nrRecibo': nrRecibo_ = child_.text nrRecibo_ = self.gds_validate_string(nrRecibo_, node, 'nrRecibo') self.nrRecibo = nrRecibo_ elif 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 TIdeEveTrab class indRetif(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, indRetif) if subclass is not None: return subclass(*args_, **kwargs_) if indRetif.subclass: return indRetif.subclass(*args_, **kwargs_) else: return indRetif(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='indRetif', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('indRetif') 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_='indRetif') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='indRetif', 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_='indRetif'): pass def exportChildren(self, outfile, level, namespace_='', name_='indRetif', 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 indRetif class nrRecibo(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nrRecibo) if subclass is not None: return subclass(*args_, **kwargs_) if nrRecibo.subclass: return nrRecibo.subclass(*args_, **kwargs_) else: return nrRecibo(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nrRecibo', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nrRecibo') 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_='nrRecibo') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nrRecibo', 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_='nrRecibo'): pass def exportChildren(self, outfile, level, namespace_='', name_='nrRecibo', 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 nrRecibo 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 TEmprPJ(GeneratedsSuper): """Informações do Empregador PJ""" 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_, TEmprPJ) if subclass is not None: return subclass(*args_, **kwargs_) if TEmprPJ.subclass: return TEmprPJ.subclass(*args_, **kwargs_) else: return TEmprPJ(*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_='TEmprPJ', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TEmprPJ') 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_='TEmprPJ') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TEmprPJ', 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_='TEmprPJ'): pass def exportChildren(self, outfile, level, namespace_='', name_='TEmprPJ', 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 TEmprPJ 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 TDadosBenef(GeneratedsSuper): """Dados de beneficiário""" subclass = None superclass = None def __init__(self, dadosNasc=None, endereco=None): self.original_tagname_ = None self.dadosNasc = dadosNasc self.endereco = endereco def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TDadosBenef) if subclass is not None: return subclass(*args_, **kwargs_) if TDadosBenef.subclass: return TDadosBenef.subclass(*args_, **kwargs_) else: return TDadosBenef(*args_, **kwargs_) factory = staticmethod(factory) def get_dadosNasc(self): return self.dadosNasc def set_dadosNasc(self, dadosNasc): self.dadosNasc = dadosNasc def get_endereco(self): return self.endereco def set_endereco(self, endereco): self.endereco = endereco def hasContent_(self): if ( self.dadosNasc is not None or self.endereco is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TDadosBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TDadosBenef') 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_='TDadosBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TDadosBenef', 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_='TDadosBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='TDadosBenef', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.dadosNasc is not None: self.dadosNasc.export(outfile, level, namespace_, name_='dadosNasc', pretty_print=pretty_print) if self.endereco is not None: self.endereco.export(outfile, level, namespace_, name_='endereco', 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_ == 'dadosNasc': obj_ = dadosNasc.factory() obj_.build(child_) self.dadosNasc = obj_ obj_.original_tagname_ = 'dadosNasc' elif nodeName_ == 'endereco': obj_ = endereco.factory() obj_.build(child_) self.endereco = obj_ obj_.original_tagname_ = 'endereco' # end class TDadosBenef class dadosNasc(GeneratedsSuper): """Informações de nascimento do beneficiário""" subclass = None superclass = None def __init__(self, dtNascto=None, codMunic=None, uf=None, paisNascto=None, paisNac=None, nmMae=None, nmPai=None): self.original_tagname_ = None if isinstance(dtNascto, BaseStrType_): initvalue_ = datetime_.datetime.strptime(dtNascto, '%Y-%m-%d').date() else: initvalue_ = dtNascto self.dtNascto = initvalue_ self.codMunic = codMunic self.uf = uf self.paisNascto = paisNascto self.paisNac = paisNac self.nmMae = nmMae self.nmPai = nmPai def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, dadosNasc) if subclass is not None: return subclass(*args_, **kwargs_) if dadosNasc.subclass: return dadosNasc.subclass(*args_, **kwargs_) else: return dadosNasc(*args_, **kwargs_) factory = staticmethod(factory) def get_dtNascto(self): return self.dtNascto def set_dtNascto(self, dtNascto): self.dtNascto = dtNascto def get_codMunic(self): return self.codMunic def set_codMunic(self, codMunic): self.codMunic = codMunic def get_uf(self): return self.uf def set_uf(self, uf): self.uf = uf def get_paisNascto(self): return self.paisNascto def set_paisNascto(self, paisNascto): self.paisNascto = paisNascto def get_paisNac(self): return self.paisNac def set_paisNac(self, paisNac): self.paisNac = paisNac def get_nmMae(self): return self.nmMae def set_nmMae(self, nmMae): self.nmMae = nmMae def get_nmPai(self): return self.nmPai def set_nmPai(self, nmPai): self.nmPai = nmPai def hasContent_(self): if ( self.dtNascto is not None or self.codMunic is not None or self.uf is not None or self.paisNascto is not None or self.paisNac is not None or self.nmMae is not None or self.nmPai is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='dadosNasc', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('dadosNasc') 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_='dadosNasc') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='dadosNasc', 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_='dadosNasc'): pass def exportChildren(self, outfile, level, namespace_='', name_='dadosNasc', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.dtNascto is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sdtNascto>%s</%sdtNascto>%s' % (namespace_, self.gds_format_date(self.dtNascto, input_name='dtNascto'), namespace_, eol_)) if self.codMunic is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodMunic>%s</%scodMunic>%s' % (namespace_, self.gds_format_integer(self.codMunic, input_name='codMunic'), namespace_, eol_)) if self.uf is not None: showIndent(outfile, level, pretty_print) outfile.write('<%suf>%s</%suf>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.uf), input_name='uf')), namespace_, eol_)) if self.paisNascto is not None: showIndent(outfile, level, pretty_print) outfile.write('<%spaisNascto>%s</%spaisNascto>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.paisNascto), input_name='paisNascto')), namespace_, eol_)) if self.paisNac is not None: showIndent(outfile, level, pretty_print) outfile.write('<%spaisNac>%s</%spaisNac>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.paisNac), input_name='paisNac')), namespace_, eol_)) if self.nmMae is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snmMae>%s</%snmMae>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nmMae), input_name='nmMae')), namespace_, eol_)) if self.nmPai is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snmPai>%s</%snmPai>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nmPai), input_name='nmPai')), 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_ == 'dtNascto': sval_ = child_.text dval_ = self.gds_parse_date(sval_) self.dtNascto = dval_ elif nodeName_ == 'codMunic': 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, 'codMunic') self.codMunic = ival_ elif nodeName_ == 'uf': uf_ = child_.text uf_ = self.gds_validate_string(uf_, node, 'uf') self.uf = uf_ elif nodeName_ == 'paisNascto': paisNascto_ = child_.text paisNascto_ = self.gds_validate_string(paisNascto_, node, 'paisNascto') self.paisNascto = paisNascto_ elif nodeName_ == 'paisNac': paisNac_ = child_.text paisNac_ = self.gds_validate_string(paisNac_, node, 'paisNac') self.paisNac = paisNac_ elif nodeName_ == 'nmMae': nmMae_ = child_.text nmMae_ = self.gds_validate_string(nmMae_, node, 'nmMae') self.nmMae = nmMae_ elif nodeName_ == 'nmPai': nmPai_ = child_.text nmPai_ = self.gds_validate_string(nmPai_, node, 'nmPai') self.nmPai = nmPai_ # end class dadosNasc class dtNascto(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, dtNascto) if subclass is not None: return subclass(*args_, **kwargs_) if dtNascto.subclass: return dtNascto.subclass(*args_, **kwargs_) else: return dtNascto(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='dtNascto', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('dtNascto') 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_='dtNascto') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='dtNascto', 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_='dtNascto'): pass def exportChildren(self, outfile, level, namespace_='', name_='dtNascto', 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 dtNascto class codMunic(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codMunic) if subclass is not None: return subclass(*args_, **kwargs_) if codMunic.subclass: return codMunic.subclass(*args_, **kwargs_) else: return codMunic(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codMunic', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codMunic') 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_='codMunic') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codMunic', 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_='codMunic'): pass def exportChildren(self, outfile, level, namespace_='', name_='codMunic', 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 codMunic class uf(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, uf) if subclass is not None: return subclass(*args_, **kwargs_) if uf.subclass: return uf.subclass(*args_, **kwargs_) else: return uf(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='uf', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('uf') 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_='uf') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='uf', 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_='uf'): pass def exportChildren(self, outfile, level, namespace_='', name_='uf', 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 uf class paisNascto(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, paisNascto) if subclass is not None: return subclass(*args_, **kwargs_) if paisNascto.subclass: return paisNascto.subclass(*args_, **kwargs_) else: return paisNascto(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='paisNascto', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('paisNascto') 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_='paisNascto') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='paisNascto', 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_='paisNascto'): pass def exportChildren(self, outfile, level, namespace_='', name_='paisNascto', 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 paisNascto class paisNac(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, paisNac) if subclass is not None: return subclass(*args_, **kwargs_) if paisNac.subclass: return paisNac.subclass(*args_, **kwargs_) else: return paisNac(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='paisNac', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('paisNac') 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_='paisNac') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='paisNac', 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_='paisNac'): pass def exportChildren(self, outfile, level, namespace_='', name_='paisNac', 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 paisNac class nmMae(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nmMae) if subclass is not None: return subclass(*args_, **kwargs_) if nmMae.subclass: return nmMae.subclass(*args_, **kwargs_) else: return nmMae(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nmMae', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nmMae') 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_='nmMae') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nmMae', 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_='nmMae'): pass def exportChildren(self, outfile, level, namespace_='', name_='nmMae', 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 nmMae class nmPai(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nmPai) if subclass is not None: return subclass(*args_, **kwargs_) if nmPai.subclass: return nmPai.subclass(*args_, **kwargs_) else: return nmPai(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nmPai', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nmPai') 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_='nmPai') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nmPai', 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_='nmPai'): pass def exportChildren(self, outfile, level, namespace_='', name_='nmPai', 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 nmPai class endereco(GeneratedsSuper): """Grupo de informações do endereço do Trabalhador""" subclass = None superclass = None def __init__(self, brasil=None, exterior=None): self.original_tagname_ = None self.brasil = brasil self.exterior = exterior def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, endereco) if subclass is not None: return subclass(*args_, **kwargs_) if endereco.subclass: return endereco.subclass(*args_, **kwargs_) else: return endereco(*args_, **kwargs_) factory = staticmethod(factory) def get_brasil(self): return self.brasil def set_brasil(self, brasil): self.brasil = brasil def get_exterior(self): return self.exterior def set_exterior(self, exterior): self.exterior = exterior def hasContent_(self): if ( self.brasil is not None or self.exterior is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='endereco', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('endereco') 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_='endereco') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='endereco', 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_='endereco'): pass def exportChildren(self, outfile, level, namespace_='', name_='endereco', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.brasil is not None: self.brasil.export(outfile, level, namespace_, name_='brasil', pretty_print=pretty_print) if self.exterior is not None: self.exterior.export(outfile, level, namespace_, name_='exterior', 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_ == 'brasil': obj_ = TEnderecoBrasil.factory() obj_.build(child_) self.brasil = obj_ obj_.original_tagname_ = 'brasil' elif nodeName_ == 'exterior': obj_ = TEnderecoExterior.factory() obj_.build(child_) self.exterior = obj_ obj_.original_tagname_ = 'exterior' # end class endereco class TEnderecoBrasil(GeneratedsSuper): """Informações do Endereço no Brasil""" subclass = None superclass = None def __init__(self, tpLograd=None, dscLograd=None, nrLograd=None, complemento=None, bairro=None, cep=None, codMunic=None, uf=None): self.original_tagname_ = None self.tpLograd = tpLograd self.dscLograd = dscLograd self.nrLograd = nrLograd self.complemento = complemento self.bairro = bairro self.cep = cep self.codMunic = codMunic self.uf = uf def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TEnderecoBrasil) if subclass is not None: return subclass(*args_, **kwargs_) if TEnderecoBrasil.subclass: return TEnderecoBrasil.subclass(*args_, **kwargs_) else: return TEnderecoBrasil(*args_, **kwargs_) factory = staticmethod(factory) def get_tpLograd(self): return self.tpLograd def set_tpLograd(self, tpLograd): self.tpLograd = tpLograd def get_dscLograd(self): return self.dscLograd def set_dscLograd(self, dscLograd): self.dscLograd = dscLograd def get_nrLograd(self): return self.nrLograd def set_nrLograd(self, nrLograd): self.nrLograd = nrLograd def get_complemento(self): return self.complemento def set_complemento(self, complemento): self.complemento = complemento def get_bairro(self): return self.bairro def set_bairro(self, bairro): self.bairro = bairro def get_cep(self): return self.cep def set_cep(self, cep): self.cep = cep def get_codMunic(self): return self.codMunic def set_codMunic(self, codMunic): self.codMunic = codMunic def get_uf(self): return self.uf def set_uf(self, uf): self.uf = uf def hasContent_(self): if ( self.tpLograd is not None or self.dscLograd is not None or self.nrLograd is not None or self.complemento is not None or self.bairro is not None or self.cep is not None or self.codMunic is not None or self.uf is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TEnderecoBrasil', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TEnderecoBrasil') 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_='TEnderecoBrasil') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TEnderecoBrasil', 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_='TEnderecoBrasil'): pass def exportChildren(self, outfile, level, namespace_='', name_='TEnderecoBrasil', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpLograd is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpLograd>%s</%stpLograd>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.tpLograd), input_name='tpLograd')), namespace_, eol_)) if self.dscLograd is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sdscLograd>%s</%sdscLograd>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.dscLograd), input_name='dscLograd')), namespace_, eol_)) if self.nrLograd is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrLograd>%s</%snrLograd>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrLograd), input_name='nrLograd')), namespace_, eol_)) if self.complemento is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scomplemento>%s</%scomplemento>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.complemento), input_name='complemento')), namespace_, eol_)) if self.bairro is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sbairro>%s</%sbairro>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.bairro), input_name='bairro')), namespace_, eol_)) if self.cep is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scep>%s</%scep>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.cep), input_name='cep')), namespace_, eol_)) if self.codMunic is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodMunic>%s</%scodMunic>%s' % (namespace_, self.gds_format_integer(self.codMunic, input_name='codMunic'), namespace_, eol_)) if self.uf is not None: showIndent(outfile, level, pretty_print) outfile.write('<%suf>%s</%suf>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.uf), input_name='uf')), 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_ == 'tpLograd': tpLograd_ = child_.text tpLograd_ = self.gds_validate_string(tpLograd_, node, 'tpLograd') self.tpLograd = tpLograd_ elif nodeName_ == 'dscLograd': dscLograd_ = child_.text dscLograd_ = self.gds_validate_string(dscLograd_, node, 'dscLograd') self.dscLograd = dscLograd_ elif nodeName_ == 'nrLograd': nrLograd_ = child_.text nrLograd_ = self.gds_validate_string(nrLograd_, node, 'nrLograd') self.nrLograd = nrLograd_ elif nodeName_ == 'complemento': complemento_ = child_.text complemento_ = self.gds_validate_string(complemento_, node, 'complemento') self.complemento = complemento_ elif nodeName_ == 'bairro': bairro_ = child_.text bairro_ = self.gds_validate_string(bairro_, node, 'bairro') self.bairro = bairro_ elif nodeName_ == 'cep': cep_ = child_.text cep_ = self.gds_validate_string(cep_, node, 'cep') self.cep = cep_ elif nodeName_ == 'codMunic': 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, 'codMunic') self.codMunic = ival_ elif nodeName_ == 'uf': uf_ = child_.text uf_ = self.gds_validate_string(uf_, node, 'uf') self.uf = uf_ # end class TEnderecoBrasil class tpLograd(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, tpLograd) if subclass is not None: return subclass(*args_, **kwargs_) if tpLograd.subclass: return tpLograd.subclass(*args_, **kwargs_) else: return tpLograd(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='tpLograd', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('tpLograd') 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_='tpLograd') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='tpLograd', 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_='tpLograd'): pass def exportChildren(self, outfile, level, namespace_='', name_='tpLograd', 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 tpLograd class dscLograd(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, dscLograd) if subclass is not None: return subclass(*args_, **kwargs_) if dscLograd.subclass: return dscLograd.subclass(*args_, **kwargs_) else: return dscLograd(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='dscLograd', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('dscLograd') 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_='dscLograd') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='dscLograd', 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_='dscLograd'): pass def exportChildren(self, outfile, level, namespace_='', name_='dscLograd', 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 dscLograd class nrLograd(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nrLograd) if subclass is not None: return subclass(*args_, **kwargs_) if nrLograd.subclass: return nrLograd.subclass(*args_, **kwargs_) else: return nrLograd(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nrLograd', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nrLograd') 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_='nrLograd') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nrLograd', 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_='nrLograd'): pass def exportChildren(self, outfile, level, namespace_='', name_='nrLograd', 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 nrLograd class complemento(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, complemento) if subclass is not None: return subclass(*args_, **kwargs_) if complemento.subclass: return complemento.subclass(*args_, **kwargs_) else: return complemento(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='complemento', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('complemento') 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_='complemento') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='complemento', 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_='complemento'): pass def exportChildren(self, outfile, level, namespace_='', name_='complemento', 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 complemento class bairro(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, bairro) if subclass is not None: return subclass(*args_, **kwargs_) if bairro.subclass: return bairro.subclass(*args_, **kwargs_) else: return bairro(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='bairro', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('bairro') 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_='bairro') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='bairro', 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_='bairro'): pass def exportChildren(self, outfile, level, namespace_='', name_='bairro', 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 bairro class cep(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, cep) if subclass is not None: return subclass(*args_, **kwargs_) if cep.subclass: return cep.subclass(*args_, **kwargs_) else: return cep(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='cep', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('cep') 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_='cep') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='cep', 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_='cep'): pass def exportChildren(self, outfile, level, namespace_='', name_='cep', 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 cep class TEnderecoExterior(GeneratedsSuper): """Informações do Endereço no Exterior""" subclass = None superclass = None def __init__(self, paisResid=None, dscLograd=None, nrLograd=None, complemento=None, bairro=None, nmCid=None, codPostal=None): self.original_tagname_ = None self.paisResid = paisResid self.dscLograd = dscLograd self.nrLograd = nrLograd self.complemento = complemento self.bairro = bairro self.nmCid = nmCid self.codPostal = codPostal def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TEnderecoExterior) if subclass is not None: return subclass(*args_, **kwargs_) if TEnderecoExterior.subclass: return TEnderecoExterior.subclass(*args_, **kwargs_) else: return TEnderecoExterior(*args_, **kwargs_) factory = staticmethod(factory) def get_paisResid(self): return self.paisResid def set_paisResid(self, paisResid): self.paisResid = paisResid def get_dscLograd(self): return self.dscLograd def set_dscLograd(self, dscLograd): self.dscLograd = dscLograd def get_nrLograd(self): return self.nrLograd def set_nrLograd(self, nrLograd): self.nrLograd = nrLograd def get_complemento(self): return self.complemento def set_complemento(self, complemento): self.complemento = complemento def get_bairro(self): return self.bairro def set_bairro(self, bairro): self.bairro = bairro def get_nmCid(self): return self.nmCid def set_nmCid(self, nmCid): self.nmCid = nmCid def get_codPostal(self): return self.codPostal def set_codPostal(self, codPostal): self.codPostal = codPostal def hasContent_(self): if ( self.paisResid is not None or self.dscLograd is not None or self.nrLograd is not None or self.complemento is not None or self.bairro is not None or self.nmCid is not None or self.codPostal is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TEnderecoExterior', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TEnderecoExterior') 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_='TEnderecoExterior') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TEnderecoExterior', 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_='TEnderecoExterior'): pass def exportChildren(self, outfile, level, namespace_='', name_='TEnderecoExterior', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.paisResid is not None: showIndent(outfile, level, pretty_print) outfile.write('<%spaisResid>%s</%spaisResid>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.paisResid), input_name='paisResid')), namespace_, eol_)) if self.dscLograd is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sdscLograd>%s</%sdscLograd>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.dscLograd), input_name='dscLograd')), namespace_, eol_)) if self.nrLograd is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrLograd>%s</%snrLograd>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrLograd), input_name='nrLograd')), namespace_, eol_)) if self.complemento is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scomplemento>%s</%scomplemento>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.complemento), input_name='complemento')), namespace_, eol_)) if self.bairro is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sbairro>%s</%sbairro>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.bairro), input_name='bairro')), namespace_, eol_)) if self.nmCid is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snmCid>%s</%snmCid>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nmCid), input_name='nmCid')), namespace_, eol_)) if self.codPostal is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scodPostal>%s</%scodPostal>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.codPostal), input_name='codPostal')), 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_ == 'paisResid': paisResid_ = child_.text paisResid_ = self.gds_validate_string(paisResid_, node, 'paisResid') self.paisResid = paisResid_ elif nodeName_ == 'dscLograd': dscLograd_ = child_.text dscLograd_ = self.gds_validate_string(dscLograd_, node, 'dscLograd') self.dscLograd = dscLograd_ elif nodeName_ == 'nrLograd': nrLograd_ = child_.text nrLograd_ = self.gds_validate_string(nrLograd_, node, 'nrLograd') self.nrLograd = nrLograd_ elif nodeName_ == 'complemento': complemento_ = child_.text complemento_ = self.gds_validate_string(complemento_, node, 'complemento') self.complemento = complemento_ elif nodeName_ == 'bairro': bairro_ = child_.text bairro_ = self.gds_validate_string(bairro_, node, 'bairro') self.bairro = bairro_ elif nodeName_ == 'nmCid': nmCid_ = child_.text nmCid_ = self.gds_validate_string(nmCid_, node, 'nmCid') self.nmCid = nmCid_ elif nodeName_ == 'codPostal': codPostal_ = child_.text codPostal_ = self.gds_validate_string(codPostal_, node, 'codPostal') self.codPostal = codPostal_ # end class TEnderecoExterior class paisResid(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, paisResid) if subclass is not None: return subclass(*args_, **kwargs_) if paisResid.subclass: return paisResid.subclass(*args_, **kwargs_) else: return paisResid(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='paisResid', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('paisResid') 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_='paisResid') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='paisResid', 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_='paisResid'): pass def exportChildren(self, outfile, level, namespace_='', name_='paisResid', 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 paisResid class nmCid(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, nmCid) if subclass is not None: return subclass(*args_, **kwargs_) if nmCid.subclass: return nmCid.subclass(*args_, **kwargs_) else: return nmCid(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='nmCid', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('nmCid') 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_='nmCid') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='nmCid', 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_='nmCid'): pass def exportChildren(self, outfile, level, namespace_='', name_='nmCid', 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 nmCid class codPostal(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, codPostal) if subclass is not None: return subclass(*args_, **kwargs_) if codPostal.subclass: return codPostal.subclass(*args_, **kwargs_) else: return codPostal(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='codPostal', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('codPostal') 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_='codPostal') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='codPostal', 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_='codPostal'): pass def exportChildren(self, outfile, level, namespace_='', name_='codPostal', 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 codPostal class TDadosBeneficio(GeneratedsSuper): """Dados do benefício previdenciário""" subclass = None superclass = None def __init__(self, tpBenef=None, nrBenefic=None, dtIniBenef=None, vrBenef=None, infoPenMorte=None): self.original_tagname_ = None self.tpBenef = tpBenef self.nrBenefic = nrBenefic if isinstance(dtIniBenef, BaseStrType_): initvalue_ = datetime_.datetime.strptime(dtIniBenef, '%Y-%m-%d').date() else: initvalue_ = dtIniBenef self.dtIniBenef = initvalue_ self.vrBenef = vrBenef self.infoPenMorte = infoPenMorte def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, TDadosBeneficio) if subclass is not None: return subclass(*args_, **kwargs_) if TDadosBeneficio.subclass: return TDadosBeneficio.subclass(*args_, **kwargs_) else: return TDadosBeneficio(*args_, **kwargs_) factory = staticmethod(factory) def get_tpBenef(self): return self.tpBenef def set_tpBenef(self, tpBenef): self.tpBenef = tpBenef def get_nrBenefic(self): return self.nrBenefic def set_nrBenefic(self, nrBenefic): self.nrBenefic = nrBenefic def get_dtIniBenef(self): return self.dtIniBenef def set_dtIniBenef(self, dtIniBenef): self.dtIniBenef = dtIniBenef def get_vrBenef(self): return self.vrBenef def set_vrBenef(self, vrBenef): self.vrBenef = vrBenef def get_infoPenMorte(self): return self.infoPenMorte def set_infoPenMorte(self, infoPenMorte): self.infoPenMorte = infoPenMorte def hasContent_(self): if ( self.tpBenef is not None or self.nrBenefic is not None or self.dtIniBenef is not None or self.vrBenef is not None or self.infoPenMorte is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='TDadosBeneficio', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('TDadosBeneficio') 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_='TDadosBeneficio') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='TDadosBeneficio', 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_='TDadosBeneficio'): pass def exportChildren(self, outfile, level, namespace_='', name_='TDadosBeneficio', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.tpBenef is not None: showIndent(outfile, level, pretty_print) outfile.write('<%stpBenef>%s</%stpBenef>%s' % (namespace_, self.gds_format_integer(self.tpBenef, input_name='tpBenef'), namespace_, eol_)) if self.nrBenefic is not None: showIndent(outfile, level, pretty_print) outfile.write('<%snrBenefic>%s</%snrBenefic>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.nrBenefic), input_name='nrBenefic')), namespace_, eol_)) if self.dtIniBenef is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sdtIniBenef>%s</%sdtIniBenef>%s' % (namespace_, self.gds_format_date(self.dtIniBenef, input_name='dtIniBenef'), namespace_, eol_)) if self.vrBenef is not None: showIndent(outfile, level, pretty_print) outfile.write('<%svrBenef>%s</%svrBenef>%s' % (namespace_, self.gds_format_float(self.vrBenef, input_name='vrBenef'), namespace_, eol_)) if self.infoPenMorte is not None: self.infoPenMorte.export(outfile, level, namespace_, name_='infoPenMorte', 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_ == 'tpBenef': 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, 'tpBenef') self.tpBenef = ival_ elif nodeName_ == 'nrBenefic': nrBenefic_ = child_.text nrBenefic_ = self.gds_validate_string(nrBenefic_, node, 'nrBenefic') self.nrBenefic = nrBenefic_ elif nodeName_ == 'dtIniBenef': sval_ = child_.text dval_ = self.gds_parse_date(sval_) self.dtIniBenef = dval_ elif nodeName_ == 'vrBenef': sval_ = child_.text try: fval_ = float(sval_) except (TypeError, ValueError) as exp: raise_parse_error(child_, 'requires float or double: %s' % exp) fval_ = self.gds_validate_float(fval_, node, 'vrBenef') self.vrBenef = fval_ elif nodeName_ == 'infoPenMorte': obj_ = infoPenMorte.factory() obj_.build(child_) self.infoPenMorte = obj_ obj_.original_tagname_ = 'infoPenMorte' # end class TDadosBeneficio class dtIniBenef(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, dtIniBenef) if subclass is not None: return subclass(*args_, **kwargs_) if dtIniBenef.subclass: return dtIniBenef.subclass(*args_, **kwargs_) else: return dtIniBenef(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='dtIniBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('dtIniBenef') 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_='dtIniBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='dtIniBenef', 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_='dtIniBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='dtIniBenef', 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 dtIniBenef class vrBenef(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, vrBenef) if subclass is not None: return subclass(*args_, **kwargs_) if vrBenef.subclass: return vrBenef.subclass(*args_, **kwargs_) else: return vrBenef(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='vrBenef', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('vrBenef') 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_='vrBenef') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='vrBenef', 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_='vrBenef'): pass def exportChildren(self, outfile, level, namespace_='', name_='vrBenef', 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 vrBenef class infoPenMorte(GeneratedsSuper): """Informações relativas a pensão por morte""" subclass = None superclass = None def __init__(self, idQuota=None, cpfInst=None): self.original_tagname_ = None self.idQuota = idQuota self.cpfInst = cpfInst def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, infoPenMorte) if subclass is not None: return subclass(*args_, **kwargs_) if infoPenMorte.subclass: return infoPenMorte.subclass(*args_, **kwargs_) else: return infoPenMorte(*args_, **kwargs_) factory = staticmethod(factory) def get_idQuota(self): return self.idQuota def set_idQuota(self, idQuota): self.idQuota = idQuota def get_cpfInst(self): return self.cpfInst def set_cpfInst(self, cpfInst): self.cpfInst = cpfInst def hasContent_(self): if ( self.idQuota is not None or self.cpfInst is not None ): return True else: return False def export(self, outfile, level, namespace_='', name_='infoPenMorte', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('infoPenMorte') 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_='infoPenMorte') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='infoPenMorte', 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_='infoPenMorte'): pass def exportChildren(self, outfile, level, namespace_='', name_='infoPenMorte', fromsubclass_=False, pretty_print=True): if pretty_print: eol_ = '\n' else: eol_ = '' if self.idQuota is not None: showIndent(outfile, level, pretty_print) outfile.write('<%sidQuota>%s</%sidQuota>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.idQuota), input_name='idQuota')), namespace_, eol_)) if self.cpfInst is not None: showIndent(outfile, level, pretty_print) outfile.write('<%scpfInst>%s</%scpfInst>%s' % (namespace_, self.gds_encode(self.gds_format_string(quote_xml(self.cpfInst), input_name='cpfInst')), 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_ == 'idQuota': idQuota_ = child_.text idQuota_ = self.gds_validate_string(idQuota_, node, 'idQuota') self.idQuota = idQuota_ elif nodeName_ == 'cpfInst': cpfInst_ = child_.text cpfInst_ = self.gds_validate_string(cpfInst_, node, 'cpfInst') self.cpfInst = cpfInst_ # end class infoPenMorte class idQuota(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, idQuota) if subclass is not None: return subclass(*args_, **kwargs_) if idQuota.subclass: return idQuota.subclass(*args_, **kwargs_) else: return idQuota(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='idQuota', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('idQuota') 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_='idQuota') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='idQuota', 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_='idQuota'): pass def exportChildren(self, outfile, level, namespace_='', name_='idQuota', 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 idQuota class cpfInst(GeneratedsSuper): subclass = None superclass = None def __init__(self): self.original_tagname_ = None def factory(*args_, **kwargs_): if CurrentSubclassModule_ is not None: subclass = getSubclassFromModule_( CurrentSubclassModule_, cpfInst) if subclass is not None: return subclass(*args_, **kwargs_) if cpfInst.subclass: return cpfInst.subclass(*args_, **kwargs_) else: return cpfInst(*args_, **kwargs_) factory = staticmethod(factory) def hasContent_(self): if ( ): return True else: return False def export(self, outfile, level, namespace_='', name_='cpfInst', namespacedef_='', pretty_print=True): imported_ns_def_ = GenerateDSNamespaceDefs_.get('cpfInst') 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_='cpfInst') if self.hasContent_(): outfile.write('>%s' % (eol_, )) self.exportChildren(outfile, level + 1, namespace_='', name_='cpfInst', 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_='cpfInst'): pass def exportChildren(self, outfile, level, namespace_='', name_='cpfInst', 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 cpfInst GDSClassesMapping = { 'altBeneficio': TDadosBeneficio, 'brasil': TEnderecoBrasil, 'dadosBenef': TDadosBenef, 'exterior': TEnderecoExterior, 'ideEmpregador': TEmprPJ, 'ideEvento': TIdeEveTrab, 'iniBeneficio': TDadosBeneficio, } 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 evtCdBenPrRP import *\n\n') sys.stdout.write('import evtCdBenPrRP 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__ = [ "TDadosBenef", "TDadosBeneficio", "TEmprPJ", "TEnderecoBrasil", "TEnderecoExterior", "TIdeEveTrab", "eSocial" ]

42.03501

193

0.611547

19,766

189,704

5.596023

0.032025

0.039182

0.026281

0.028903

0.796358

0.758993

0.73537

0.710128

0.686812

0.654655

0

0.003601

0.281296

189,704

4,512

194

42.044326

0.807681

0.024232

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0.678752

1

0.00024

0.042691

0.007089

0

1

0.152221

false

0.039376

0.038415

0.022329

0.328451

0.079712

0

null

0

1

0

1

0

1

0

null

0

5

eec02affaa444ea5d0b1ae56b595337ead42ec35

26

py

Python

acq4/devices/ThorlabsFilterWheel/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

1

2020-06-04T17:04:53.000Z

acq4/devices/ThorlabsFilterWheel/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

24

2016-09-27T17:25:24.000Z

2017-03-02T21:00:11.000Z

acq4/devices/ThorlabsFilterWheel/__init__.py

sensapex/acq4

9561ba73caff42c609bd02270527858433862ad8

[ "MIT" ]

4

2016-10-19T06:39:36.000Z

2019-09-30T21:06:45.000Z

from FilterWheel import *

13

25

0.807692

3

26

7

1

0

0.153846

26

1

26

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

eef0a1df04469024ca7a834758ac6007044aa997

28

py

Python

reina/iv/__init__.py

SoumilShekdar/Reina

638240a979a90a9b6ca9efb40edef6ecc71d836f

[ "MIT" ]

4

2021-07-19T04:21:37.000Z

2022-02-22T09:24:42.000Z

reina/iv/__init__.py

SoumilShekdar/Reina

638240a979a90a9b6ca9efb40edef6ecc71d836f

[ "MIT" ]

10

2021-07-19T12:45:21.000Z

2021-08-11T07:45:50.000Z

reina/iv/__init__.py

SoumilShekdar/Reina

638240a979a90a9b6ca9efb40edef6ecc71d836f

[ "MIT" ]

1

2021-09-05T00:41:48.000Z

from .2sls import SieveTSLS

14

27

0.821429

4

28

5.75

1

0

0.041667

0.142857

28

1

28

0.916667

0

null

0

1

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e1134fe2d4efd305d38c69d062f02bd8fcd99659

766

py

Python

tests/integration/load_balancer_types/test_load_balancer_types.py

cenkalti/hcloud-python

1be68b3cc29b81d93d85bef2d4b8dc57cbf603fb

[ "MIT" ]

null

tests/integration/load_balancer_types/test_load_balancer_types.py

cenkalti/hcloud-python

1be68b3cc29b81d93d85bef2d4b8dc57cbf603fb

[ "MIT" ]

null

tests/integration/load_balancer_types/test_load_balancer_types.py

cenkalti/hcloud-python

1be68b3cc29b81d93d85bef2d4b8dc57cbf603fb

[ "MIT" ]

null

class TestLoadBalancerTypesClient(object): def test_get_by_id(self, hetzner_client): load_balancer_type = hetzner_client.load_balancer_types.get_by_id(1) assert load_balancer_type.id == 1 assert load_balancer_type.name == "lb11" def test_get_by_name(self, hetzner_client): load_balancer_type = hetzner_client.load_balancer_types.get_by_name("lb11") assert load_balancer_type.id == 1 assert load_balancer_type.name == "lb11" def test_get_list(self, hetzner_client): result = hetzner_client.load_balancer_types.get_list() load_balancer_types = result.load_balancer_types assert load_balancer_types[0].id == 1 assert load_balancer_types[0].name == "lb11"

40.315789

84

0.708877

103

766

4.834951

0.213592

0.313253

0.238956

0.251004

0.708835

0.606426

0.534137

0

0.023141

0.210183

766

18

85

42.555556

0.8

0

0.285714

0

0.021419

0

0.428571

1

0.214286

false

0

0.285714

0

null

1

0

null

0

1

0

1

0

5

013e956198aa1b77981faa4ab9b419572706ea01

19

py

Python

Exercicios/tempCodeRunnerFile.py

eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera

b5b9198e16b4b67894b85766eb521ae96010accf

[ "MIT" ]

1

2020-08-28T20:29:23.000Z

Exercicios/tempCodeRunnerFile.py

eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera

b5b9198e16b4b67894b85766eb521ae96010accf

[ "MIT" ]

null

Exercicios/tempCodeRunnerFile.py

eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera

b5b9198e16b4b67894b85766eb521ae96010accf

[ "MIT" ]

null

print(elefantes(4))

19

0.789474

3

19

5

1

0

0.052632

0

19

1

19

0.736842

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6da557c68c852fb5e7d15b6ff66d6fad1e0de619

124

py

Python

apps/iotdb_cloud_core/admin.py

JulianFeinauer/iotdb-cloud

0ccb2dd14c7d0ae3a8e72b3b32ce83de2df48738

[ "Apache-2.0" ]

6

2021-08-22T02:25:55.000Z

2021-08-28T04:53:36.000Z

apps/iotdb_cloud_core/admin.py

JulianFeinauer/iotdb-cloud

0ccb2dd14c7d0ae3a8e72b3b32ce83de2df48738

[ "Apache-2.0" ]

null

apps/iotdb_cloud_core/admin.py

JulianFeinauer/iotdb-cloud

0ccb2dd14c7d0ae3a8e72b3b32ce83de2df48738

[ "Apache-2.0" ]

null

from django.contrib import admin from apps.iotdb_cloud_core.models import IoTDBRelease admin.site.register(IoTDBRelease)

17.714286

53

0.846774

17

124

6.058824

0.764706

0

0.096774

124

6

54

20.666667

0.919643

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6dae200bc2542cbf1a7d16cff24cb31ec402d6c5

246

py

Python

testing/misc/test1.py

lagvier/echo-sense

fe8ab921e7f61c48b224f0cc2832103a395a6cf7

[ "MIT" ]

null

testing/misc/test1.py

lagvier/echo-sense

fe8ab921e7f61c48b224f0cc2832103a395a6cf7

[ "MIT" ]

null

testing/misc/test1.py

lagvier/echo-sense

fe8ab921e7f61c48b224f0cc2832103a395a6cf7

[ "MIT" ]

1

2019-02-20T13:22:22.000Z

import sys from os import path import numpy as np ts = [1467038416442, 1467038416452, 1467038416462, 1467038416472, 1467038416482, 1467038416492, 1467038416502, 1467038416512, 1467038416522, 1467038416532] y = [0, 0, 1, 1, 1, 1, 0, 0, 0, None]

30.75

155

0.756098

32

246

5.8125

0.71875

0.032258

0

0.661905

0.146341

246

7

156

35.142857

0.22381

0

1

0

false

0

0.6

0

0.6

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

6de944f602d5ea4b43546e6defa95609633e50c2

135

py

Python

app/admin/__init__.py

RandyDeng/InterviewScheduler

044d39873c4efb0d523772c42af62e8699336f63

[ "MIT" ]

null

app/admin/__init__.py

RandyDeng/InterviewScheduler

044d39873c4efb0d523772c42af62e8699336f63

[ "MIT" ]

null

app/admin/__init__.py

RandyDeng/InterviewScheduler

044d39873c4efb0d523772c42af62e8699336f63

[ "MIT" ]

null

from flask import Blueprint admin = Blueprint('admin', __name__, url_prefix='/admin', template_folder='templates')

22.5

57

0.666667

14

135

6

0.785714

0.333333

0

0.222222

135

5

58

27

0.8

0

0.148148

0

1

0

false

0

0.333333

0

0.333333

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a30616a29f411ad752e16628beebe4c2d1a4b42a

128

py

Python

katas/kyu_7/formatting_decimal_places_1.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_7/formatting_decimal_places_1.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_7/formatting_decimal_places_1.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

from math import trunc def two_decimal_places(number): factor = float(10 ** 2) return trunc(number * factor) / factor

18.285714

42

0.695313

18

128

4.833333

0.777778

0.275862

0

0.029703

0.210938

128

6

43

21.333333

0.831683

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

09ae7cadaf61799aa1c9b362b46ebd1005a33f96

132

py

Python

evidence/data_sources/__init__.py

cancervariants/evidence-normalization

eb055541bb5c53b40f30fc35e89a2b49e3176bb9

[ "MIT" ]

null

evidence/data_sources/__init__.py

cancervariants/evidence-normalization

eb055541bb5c53b40f30fc35e89a2b49e3176bb9

[ "MIT" ]

12

2022-01-31T18:47:02.000Z

2022-03-31T13:34:58.000Z

evidence/data_sources/__init__.py

cancervariants/evidence-normalization

eb055541bb5c53b40f30fc35e89a2b49e3176bb9

[ "MIT" ]

null

"""Import data sources""" from .gnomad import GnomAD from .cbioportal import CBioPortal from .cancer_hotspots import CancerHotspots

26.4

43

0.818182

16

132

6.6875

0.5625

0

0.113636

132

4

44

33

0.91453

0.143939

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

09c706e008d6346528f62a89540b79fcfb12e772

204

py

Python

api/service/listing_service.py

build-week-optimal-pricing/Data-science

23433f64445393654c8702e7d4c436e3758cd329

[ "MIT" ]

null

api/service/listing_service.py

build-week-optimal-pricing/Data-science

23433f64445393654c8702e7d4c436e3758cd329

[ "MIT" ]

null

api/service/listing_service.py

build-week-optimal-pricing/Data-science

23433f64445393654c8702e7d4c436e3758cd329

[ "MIT" ]

2

2020-02-03T18:54:57.000Z

2020-02-03T20:14:11.000Z

#!/usr/bin/env python3 from api import DB from api.models.listing import Listing def get_all_queries(): """ Returns all stored listing queries. """ return list(Listing.query.all())

17

43

0.671569

28

204

4.821429

0.678571

0.103704

0

0.00625

0.215686

204

11

44

18.545455

0.8375

0.279412

0

1

0.25

true

0

0.5

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

5

09fbd4228a570bcd8035cd9011201ce529d14413

40

py

Python

Lib/xmlrpc/__init__.py

sireliah/polish-python

605df4944c2d3bc25f8bf6964b274c0a0d297cc3

[ "PSF-2.0" ]

1

2018-06-21T18:21:24.000Z

Lib/xmlrpc/__init__.py

sireliah/polish-python

605df4944c2d3bc25f8bf6964b274c0a0d297cc3

[ "PSF-2.0" ]

null

Lib/xmlrpc/__init__.py

sireliah/polish-python

605df4944c2d3bc25f8bf6964b274c0a0d297cc3

[ "PSF-2.0" ]

null

# This directory jest a Python package.

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39

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0

null

0

1

0

5

61dae364e89628a6916af4c9a43c0cd0c9b5d3c5

65

py

Python

goodbye_cruel_world.py

sgriffith3/2021_05_10_pyna

d732e1dd0fa03f1cef8f72fc9dcc09ec947f31a5

[ "MIT" ]

null

goodbye_cruel_world.py

sgriffith3/2021_05_10_pyna

d732e1dd0fa03f1cef8f72fc9dcc09ec947f31a5

[ "MIT" ]

null

goodbye_cruel_world.py

sgriffith3/2021_05_10_pyna

d732e1dd0fa03f1cef8f72fc9dcc09ec947f31a5

[ "MIT" ]

null

print("Goodbye Cruel World!!!!") print("see ya later, aligator")

21.666667

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65

5

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0

0.107692

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2

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1

0

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1

0

1

0

null

0

1

0

1

0

5

61ddd275c9328cdf120cd05d7b3417a27c6e0f25

72

py

Python

src/lingcomp/data_utils/__init__.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

2

2020-12-18T12:26:22.000Z

2020-12-19T18:47:07.000Z

src/lingcomp/data_utils/__init__.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

null

src/lingcomp/data_utils/__init__.py

CharlottePouw/interpreting-complexity

b9a73c0aff18e4c6b4209a6511d00639494c70da

[ "Apache-2.0" ]

1

2021-05-19T13:39:45.000Z

from .et_processor import DundeeProcessor, GECOProcessor, ZuCoProcessor

36

71

0.875

7

72

8.857143

1

0

0.083333

72

1

72

0.939394

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1

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null

0

1

0

1

0

1

0

5

114d4aa01e523660546ae0c5a1fb081013ec1a86

60

py

Python

irida_uploader_cl/parsers/miniseq/__init__.py

duanjunhyq/irida_uploader_cl

d0e5d404c5b5b10c3411ded71a20f5ab062aabba

[ "MIT" ]

null

irida_uploader_cl/parsers/miniseq/__init__.py

duanjunhyq/irida_uploader_cl

d0e5d404c5b5b10c3411ded71a20f5ab062aabba

[ "MIT" ]

null

irida_uploader_cl/parsers/miniseq/__init__.py

duanjunhyq/irida_uploader_cl

d0e5d404c5b5b10c3411ded71a20f5ab062aabba

[ "MIT" ]

null

from irida_uploader_cl.parsers.miniseq.parser import Parser

30

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5.666667

0.888889

0

0.066667

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1

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true

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

fec7d1bf151211967057226b6ac546f31ea05daa

146

py

Python

history/admin.py

fahimfarhan/cancer-web-app

6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef

[ "MIT" ]

null

history/admin.py

fahimfarhan/cancer-web-app

6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef

[ "MIT" ]

5

2021-03-18T20:13:38.000Z

2022-01-13T00:35:37.000Z

history/admin.py

fahimfarhan/cancer-web-app

6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from history.models import HistoryModelFile admin.site.register(HistoryModelFile)

20.857143

43

0.835616

18

146

6.777778

0.666667

0

0.109589

146

6

44

24.333333

0.938462

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1

0

true

0

0.666667

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null

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1

0

null

0

1

0

1

0

1

0

5

feca366a33eddf6f2c9718e3c0793e7f47ad681b

125

py

Python

CATS/cleaning_empty_rows.py

janetvanbilsen/Twitter-Mining-Raspberry_Pi

bd9beb5fd57be7b1fccb3ed041c36045f0be7f41

[ "MIT" ]

null

CATS/cleaning_empty_rows.py

janetvanbilsen/Twitter-Mining-Raspberry_Pi

bd9beb5fd57be7b1fccb3ed041c36045f0be7f41

[ "MIT" ]

null

CATS/cleaning_empty_rows.py

janetvanbilsen/Twitter-Mining-Raspberry_Pi

bd9beb5fd57be7b1fccb3ed041c36045f0be7f41

[ "MIT" ]

null

#!/usr/bin/env python3 import pandas as pd dataset = pd.read_csv('Dataset.csv') dataset.to_csv('Dataset.csv', index=False)

17.857143

42

0.736

21

125

4.285714

0.666667

0.333333

0.288889

0

0.008929

0.104

125

6

43

20.833333

0.794643

0.168

0

0.213592

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

fed3254b8b43f91bf171dddb50dc3bb5868244db

310

py

Python

HomeLab/homepage/views.py

amalik18/HomeLab

b0d71f379e8628948ceb15bd776386a81a468558

[ "MIT" ]

null

HomeLab/homepage/views.py

amalik18/HomeLab

b0d71f379e8628948ceb15bd776386a81a468558

[ "MIT" ]

null

HomeLab/homepage/views.py

amalik18/HomeLab

b0d71f379e8628948ceb15bd776386a81a468558

[ "MIT" ]

null

from django.shortcuts import render, get_object_or_404 from django.http import HttpResponse from django.template import loader from django.shortcuts import render from django.http import Http404 # Create your views here. def index(request): return render(request=request, template_name='homepage.html')

25.833333

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0.816129

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310

5.659091

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0.200803

0.15261

0.200803

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0

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0.122581

310

11

66

28.181818

0.893382

0.074194

0

0.045614

0

1

0.142857

false

0

0.714286

0.142857

1

0

null

1

0

1

0

null

0

1

0

5

fef94cf7472eb2fb96182773789ca2fc30a153f5

144

py

Python

pyobs/utils/threads/__init__.py

pyobs/pyobs-core

e3401e63eb31587c2bc535f7346b7e4ef69d64ab

[ "MIT" ]

4

2020-02-14T10:50:03.000Z

2022-03-25T04:15:06.000Z

pyobs/utils/threads/__init__.py

pyobs/pyobs-core

e3401e63eb31587c2bc535f7346b7e4ef69d64ab

[ "MIT" ]

60

2020-09-14T09:10:20.000Z

2022-03-25T17:51:42.000Z

pyobs/utils/threads/__init__.py

pyobs/pyobs-core

e3401e63eb31587c2bc535f7346b7e4ef69d64ab

[ "MIT" ]

2

2020-10-14T09:34:57.000Z

2021-04-27T09:35:57.000Z

from .future import Future from .lockwithabort import LockWithAbort, AcquireLockFailed from .threadwithreturnvalue import ThreadWithReturnValue

36

59

0.881944

13

144

9.769231

0.461538

0

0.090278

144

3

60

48

0.969466

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3a0b37416080748feed953c20d0d1fe11351ed58

748

py

Python

proto/core/molecule.py

protoserver/proto-cli

a5675b90646a6ab6656b7fecca1c1da8804f45fb

[ "MIT" ]

null

proto/core/molecule.py

protoserver/proto-cli

a5675b90646a6ab6656b7fecca1c1da8804f45fb

[ "MIT" ]

null

proto/core/molecule.py

protoserver/proto-cli

a5675b90646a6ab6656b7fecca1c1da8804f45fb

[ "MIT" ]

null

from abc import abstractmethod from cement import Interface, Handler class MoleculeInterface(Interface): class Meta: interface = 'stack' @abstractmethod def _build_config(self): """Do something to build the config.""" pass def build_config(self): """Do something to build the config.""" self._build_config() def start(self): """Do something to start the stack.""" pass def stop(self): """Do something to stop the stack.""" pass def restart(self): """Do something to restart the stack.""" self.stop() self.start() class Molecule(MoleculeInterface, Handler): """FIXME: Put all common operations here.""" pass

21.371429

48

0.606952

85

748

5.282353

0.352941

0.066815

0.167038

0.18931

0.200445

0

0.286096

748

34

49

22

0.840824

0.275401

0

0.210526

0

0.009804

0

0.029412

0

1

0.263158

false

0.210526

0.105263

0

0.526316

0

null

0

1

0

null

0

1

0

1

0

1

0

1

0

5

3a13f34eb44a5677aa4403790e7570f05dfb4af0

101

py

Python

topCoder/srms/500s/srm571/div2/fox_and_game.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

25

2015-01-21T16:39:18.000Z

2021-05-24T07:01:24.000Z

topCoder/srms/500s/srm571/div2/fox_and_game.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

2

2020-09-30T19:39:36.000Z

2020-10-01T17:15:16.000Z

topCoder/srms/500s/srm571/div2/fox_and_game.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

15

2015-01-21T16:39:27.000Z

2020-10-01T17:00:22.000Z

class FoxAndGame: def countStars(self, result): return sum(r.count("o") for r in result)

25.25

48

0.653465

15

101

4.4

0.866667

0

0.227723

101

3

49

33.666667

0.846154

0

0.009901

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3a3a360fc0c13877547e772805fff2aed918da4c

1,251

py

Python

test/moves/test_acrobatics.py

adacker10/showdown

8ceb1ff46d5c33ec3055928d6ad293224446f63c

[ "MIT" ]

8

2019-02-02T01:15:57.000Z

2021-12-23T04:43:46.000Z

test/moves/test_acrobatics.py

adacker10/showdown

8ceb1ff46d5c33ec3055928d6ad293224446f63c

[ "MIT" ]

null

test/moves/test_acrobatics.py

adacker10/showdown

8ceb1ff46d5c33ec3055928d6ad293224446f63c

[ "MIT" ]

6

2020-09-11T13:15:05.000Z

2022-03-18T15:46:35.000Z

import unittest from sim.battle import Battle from data import dex class TestAcrobatics(unittest.TestCase): def test_acrobatics(self): b = Battle(debug=False, rng=False) b.join(0, [{'species': 'charmander', 'moves': ['tackle']}]) b.join(1, [{'species': 'pidgey', 'moves': ['acrobatics']}]) b.choose(0, dex.Decision('move', 0)) b.choose(1, dex.Decision('move', 0)) b.do_turn() charmander = b.sides[0].pokemon[0] pidgey = b.sides[1].pokemon[0] #damage calcs were done by hand self.assertEqual(charmander.hp, charmander.maxhp-76) def test_acrobatics_noitem(self): b = Battle(debug=False, rng=False) b.join(0, [{'species': 'charmander', 'moves': ['tackle']}]) b.join(1, [{'species': 'pidgey', 'item': 'pokeball','moves': ['acrobatics']}]) b.choose(0, dex.Decision('move', 0)) b.choose(1, dex.Decision('move', 0)) b.do_turn() charmander = b.sides[0].pokemon[0] pidgey = b.sides[1].pokemon[0] #damage calcs were done by hand self.assertEqual(charmander.hp, charmander.maxhp-39) def runTest(self): self.test_acrobatics() self.test_acrobatics_noitem()

31.275

86

0.592326

160

1,251

4.58125

0.3

0.076398

0.081855

0.087312

0.723056

0

0.025184

0.238209

1,251

39

87

32.076923

0.743966

0.047962

0

0.518519

0

0.117746

0

0.074074

1

0.111111

false

0

0.111111

0

0.259259

0

null

0

1

0

null

0

5

3a5400edeacc9bb20f022bc49d8ed1ea7ee11a72

93

py

Python

postreview/admin.py

harshiljhaveri/unicode-website

6caee5689fcdf172c01b10d51745b7b3e4596be1

[ "MIT" ]

16

2021-09-22T19:08:28.000Z

2022-03-18T18:57:02.000Z

postreview/admin.py

harshiljhaveri/unicode-website

6caee5689fcdf172c01b10d51745b7b3e4596be1

[ "MIT" ]

6

2021-09-30T12:36:02.000Z

2022-03-18T22:18:00.000Z

postreview/admin.py

harshiljhaveri/unicode-website

6caee5689fcdf172c01b10d51745b7b3e4596be1

[ "MIT" ]

6

2021-12-06T02:04:51.000Z

2022-03-13T14:38:14.000Z

from django.contrib import admin from .models import Review admin.site.register(Review)

18.6

33

0.784946

13

93

5.615385

0.692308

0

0.150538

93

4

34

23.25

0.924051

0

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0

true

0

0.666667

0

0.666667

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null

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1

0

null

0

1

0

1

0

1

0

5

28c817717093216ec1ffa47d7c38f9ff49e09f13

113

py

Python

website/views/__init__.py

luxutao/django-blog

392c47f5b584d212485e97826283f9e1c98fb6b9

[ "Apache-2.0" ]

null

website/views/__init__.py

luxutao/django-blog

392c47f5b584d212485e97826283f9e1c98fb6b9

[ "Apache-2.0" ]

null

website/views/__init__.py

luxutao/django-blog

392c47f5b584d212485e97826283f9e1c98fb6b9

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding:utf-8 -*- """ @__Create Time__ = 2017/12/11 10:34 @__Description__ = " " """

16.142857

35

0.59292

15

113

3.933333

1

0

0.145833

0.150442

113

6

36

18.833333

0.46875

0.893805

0

null

0

null

0

null

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null

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null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

e93e464839168c250308884392001c2de7fdea96

3,618

py

Python

backend/app/alembic/versions/0b840782b66f_initial_model_again.py

totalhack/zar

e50a5f96f9df1316ca4205309920401c19db6e31

[ "MIT" ]

1

2020-11-02T14:31:30.000Z

backend/app/alembic/versions/0b840782b66f_initial_model_again.py

totalhack/zar

e50a5f96f9df1316ca4205309920401c19db6e31

[ "MIT" ]

null

backend/app/alembic/versions/0b840782b66f_initial_model_again.py

totalhack/zar

e50a5f96f9df1316ca4205309920401c19db6e31

[ "MIT" ]

null

"""Initial model again Revision ID: 0b840782b66f Revises: Create Date: 2020-10-27 17:24:10.636183 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '0b840782b66f' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table('page', sa.Column('id', sa.BigInteger(), nullable=False), sa.Column('vid', sa.String(length=24), nullable=True), sa.Column('sid', sa.String(length=36), nullable=True), sa.Column('cid', sa.String(length=36), nullable=True), sa.Column('uid', sa.String(length=64), nullable=True), sa.Column('ip', sa.String(length=128), nullable=True), sa.Column('user_agent', sa.String(length=512), nullable=True), sa.Column('referer', sa.String(length=2048), nullable=True), sa.Column('url', sa.String(length=2048), nullable=True), sa.Column('properties', sa.Text(), nullable=True), sa.Column('created_at', sa.DateTime(), server_default=sa.text('now()'), nullable=False), sa.PrimaryKeyConstraint('id'), mysql_charset='utf8', mysql_engine='InnoDB' ) op.create_index(op.f('ix_page_cid'), 'page', ['cid'], unique=False) op.create_index(op.f('ix_page_created_at'), 'page', ['created_at'], unique=False) op.create_index(op.f('ix_page_sid'), 'page', ['sid'], unique=False) op.create_index(op.f('ix_page_uid'), 'page', ['uid'], unique=False) op.create_index(op.f('ix_page_vid'), 'page', ['vid'], unique=False) op.create_table('track', sa.Column('id', sa.BigInteger(), nullable=False), sa.Column('event', sa.String(length=64), nullable=True), sa.Column('vid', sa.String(length=24), nullable=True), sa.Column('sid', sa.String(length=36), nullable=True), sa.Column('cid', sa.String(length=36), nullable=True), sa.Column('uid', sa.String(length=64), nullable=True), sa.Column('ip', sa.String(length=128), nullable=True), sa.Column('user_agent', sa.String(length=512), nullable=True), sa.Column('referer', sa.String(length=2048), nullable=True), sa.Column('url', sa.String(length=2048), nullable=True), sa.Column('properties', sa.Text(), nullable=True), sa.Column('created_at', sa.DateTime(), server_default=sa.text('now()'), nullable=False), sa.PrimaryKeyConstraint('id'), mysql_charset='utf8', mysql_engine='InnoDB' ) op.create_index(op.f('ix_track_cid'), 'track', ['cid'], unique=False) op.create_index(op.f('ix_track_created_at'), 'track', ['created_at'], unique=False) op.create_index(op.f('ix_track_sid'), 'track', ['sid'], unique=False) op.create_index(op.f('ix_track_uid'), 'track', ['uid'], unique=False) op.create_index(op.f('ix_track_vid'), 'track', ['vid'], unique=False) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_index(op.f('ix_track_vid'), table_name='track') op.drop_index(op.f('ix_track_uid'), table_name='track') op.drop_index(op.f('ix_track_sid'), table_name='track') op.drop_index(op.f('ix_track_created_at'), table_name='track') op.drop_index(op.f('ix_track_cid'), table_name='track') op.drop_table('track') op.drop_index(op.f('ix_page_vid'), table_name='page') op.drop_index(op.f('ix_page_uid'), table_name='page') op.drop_index(op.f('ix_page_sid'), table_name='page') op.drop_index(op.f('ix_page_created_at'), table_name='page') op.drop_index(op.f('ix_page_cid'), table_name='page') op.drop_table('page') # ### end Alembic commands ###

44.121951

92

0.672747

543

3,618

4.311234

0.156538

0.078599

0.068347

0.085434

0.831269

0.814609

0.794105

0.756087

0.706536

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0

0.027267

0.128248

3,618

81

93

44.666667

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0.079878

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0

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false

0

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0.063492

0

null

0

1

0

null

0

5

3a9b433d38b7b7016736639df4a8c3b7664c27da

157

py

Python

core/dbt/config/__init__.py

darrenhaken/dbt

8270ef71b2450fc46117ebcd2c9a3d4403f79f3a

[ "Apache-2.0" ]

null

core/dbt/config/__init__.py

darrenhaken/dbt

8270ef71b2450fc46117ebcd2c9a3d4403f79f3a

[ "Apache-2.0" ]

null

core/dbt/config/__init__.py

darrenhaken/dbt

8270ef71b2450fc46117ebcd2c9a3d4403f79f3a

[ "Apache-2.0" ]

null

from .renderer import ConfigRenderer from .profile import Profile, UserConfig, PROFILES_DIR from .project import Project from .runtime import RuntimeConfig

26.166667

54

0.840764

19

157

6.894737

0.578947

0

0.121019

157

5

55

31.4

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0

1

0

true

0

1

0

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null

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1

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1

0

1

0

5

3ae89a5ac845fc75c2d7a53a92c02e503916a1e2

166

py

Python

BugsApp/admin.py

safia88/BugTracker

77b1ccf6dd20ed9e8e4a03da236294897c75d020

[ "MIT" ]

null

BugsApp/admin.py

safia88/BugTracker

77b1ccf6dd20ed9e8e4a03da236294897c75d020

[ "MIT" ]

null

BugsApp/admin.py

safia88/BugTracker

77b1ccf6dd20ed9e8e4a03da236294897c75d020

[ "MIT" ]

null

from django.contrib import admin from.models import Ticket,Customeuser # Register your models here. admin.site.register(Ticket) admin.site.register(Customeuser)

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0

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5

c907963de4c248eaeefe566d8d771e03cf03148b

196

py

Python

pertpy/api/__init__.py

theislab/pertpy

54a9244fd032cdab2fb7fc0e4a2208ba088ff54e

[ "MIT" ]

1

2021-06-23T14:16:14.000Z

pertpy/api/__init__.py

theislab/pertpy

54a9244fd032cdab2fb7fc0e4a2208ba088ff54e

[ "MIT" ]

36

2021-07-12T10:42:03.000Z

2022-03-29T13:07:01.000Z

pertpy/api/__init__.py

theislab/pertpy

54a9244fd032cdab2fb7fc0e4a2208ba088ff54e

[ "MIT" ]

1

2022-01-28T13:27:58.000Z

import scanpy pertpy_settings = scanpy.settings from pertpy.api import data as dt from pertpy.api import plot as pl from pertpy.api import preprocessing as pp from pertpy.api import tools as tl

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null

0

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c9087116dc9864c80739bc6dfa64e10c6b66752d

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py

Python

modules/may9/plug-ins/May9_Next.py

DavideAlidosi/May9

30e3d896dde0e6c4b1aa5d4bf6a6198cbba0a49b

[ "MIT" ]

39

2016-08-05T08:22:21.000Z

2021-06-01T16:05:20.000Z

modules/may9/plug-ins/May9_Next.py

DavideAlidosi/May9

30e3d896dde0e6c4b1aa5d4bf6a6198cbba0a49b

[ "MIT" ]

9

2016-10-14T09:55:58.000Z

2020-01-19T00:30:22.000Z

modules/may9/plug-ins/May9_Next.py

DavideAlidosi/May9

30e3d896dde0e6c4b1aa5d4bf6a6198cbba0a49b

[ "MIT" ]

8

2016-11-24T09:35:59.000Z

2020-02-12T15:42:39.000Z

import __main__ import May9_Next def initializePlugin(*args): __main__.May9_Next = May9_Next def uninitializePlugin(*args): try: __main__.__delattr__("May9_Next") except AttributeError: pass

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0

1

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5

c90f721bbb44f22f7fbe7e9911dde5c76d97859c

56

py

Python

utils/__init__.py

carolinscholl/SORN

99f908c88265ecc26dad195b56bebfa12838591f

[ "MIT" ]

1

2019-10-25T11:48:31.000Z

utils/__init__.py

carolinscholl/SORN

99f908c88265ecc26dad195b56bebfa12838591f

[ "MIT" ]

null

utils/__init__.py

carolinscholl/SORN

99f908c88265ecc26dad195b56bebfa12838591f

[ "MIT" ]

3

2019-09-27T12:54:19.000Z

2020-11-17T19:37:12.000Z

from .bunch import * from .backup import backup_pickle

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18.666667

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1

0

5

c961e1935bfaae9007e5bf961dcddc9407f37ff8

255

py

Python

app/views/admin/index.py

mrakzero/FlaskCMS

03ad35610befca1f45d5705f07cfb4794f9b2d3b

[ "MulanPSL-1.0" ]

1

2022-03-31T03:57:45.000Z

app/views/admin/index.py

mrakzero/FlaskCMS

03ad35610befca1f45d5705f07cfb4794f9b2d3b

[ "MulanPSL-1.0" ]

null

app/views/admin/index.py

mrakzero/FlaskCMS

03ad35610befca1f45d5705f07cfb4794f9b2d3b

[ "MulanPSL-1.0" ]

null

from flask import render_template from app.views.admin import bp_admin @bp_admin.route('/') def index(): return render_template('admin/index.html') @bp_admin.route('/dashboard') def dashboard(): return render_template('admin/dashboard.html')

18.214286

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1

0

null

0

1

0

1

0

5

c962990b2983cb54eac95079f3b250bf64a15127

109

py

Python

db/base.py

zy7y/HelloFastAPI

6f4e5d65e411d733dc17ca3851b82f3d0eed7245

[ "MIT" ]

1

2021-02-18T08:07:13.000Z

db/base.py

zy7y/HelloFastAPI

6f4e5d65e411d733dc17ca3851b82f3d0eed7245

[ "MIT" ]

2

2021-04-06T18:26:08.000Z

2021-06-02T03:47:19.000Z

db/base.py

zy7y/HelloFastAPI

6f4e5d65e411d733dc17ca3851b82f3d0eed7245

[ "MIT" ]

null

# 导入所有模型, 用于迁移文件 from db.base_class import Base from models.user import User from models.movie import Movie

18.166667

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109

4.833333

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0

0.146789

109

5

31

21.8

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0

1

0

true

0

1

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1

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1

0

null

1

0

1

0

null

0

1

0

1

0

5

c97cfce015d46f366d4c6c0e8a56bf0785b60afc

204

py

Python

bessel_zeros/bessel_zeros.py

GrzegorzMika/Towards-adaptivity-via-a-new-discrepancy-principle-for-Poisson-inverse-problems

13f62a5fa2a446c48796e12536e61125302d638d

[ "MIT" ]

null

bessel_zeros/bessel_zeros.py

GrzegorzMika/Towards-adaptivity-via-a-new-discrepancy-principle-for-Poisson-inverse-problems

13f62a5fa2a446c48796e12536e61125302d638d

[ "MIT" ]

null

bessel_zeros/bessel_zeros.py

GrzegorzMika/Towards-adaptivity-via-a-new-discrepancy-principle-for-Poisson-inverse-problems

13f62a5fa2a446c48796e12536e61125302d638d

[ "MIT" ]

1

2022-01-23T19:15:01.000Z

import numpy as np import os zeros = np.loadtxt('./bessel_zeros_short.txt') np.save('bessel_zeros_short', zeros) if os.path.exists('./bessel_zeros_short.txt'): os.remove('./bessel_zeros_short.txt')

22.666667

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4.333333

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0.447552

0.398601

0

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8

47

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1

0

false

0

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null

1

0

1

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null

0

1

0

5

a3639ef28aac2c02170e8a0b9e216bd8d1280efb

104

py

Python

vedastr_cstr/vedastr/models/bodies/sequences/transformer/__init__.py

bsm8734/formula-image-latex-recognition

86d5070e8f907571a47967d64facaee246d92a35

[ "MIT" ]

13

2021-06-20T18:11:23.000Z

2021-12-07T18:06:42.000Z

vedastr_cstr/vedastr/models/bodies/sequences/transformer/__init__.py

bsm8734/formula-image-latex-recognition

86d5070e8f907571a47967d64facaee246d92a35

[ "MIT" ]

9

2021-06-16T14:55:07.000Z

2021-06-23T14:45:36.000Z

vedastr_cstr/vedastr/models/bodies/sequences/transformer/__init__.py

bsm8734/formula-image-latex-recognition

86d5070e8f907571a47967d64facaee246d92a35

[ "MIT" ]

6

2021-06-17T15:16:50.000Z

2021-07-05T20:41:26.000Z

from .decoder import TransformerDecoder # noqa 401 from .encoder import TransformerEncoder # noqa 401

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0.666667

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true

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1

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1

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5

a39340a6c3314820690f2f2e630d31359d80bf33

61

py

Python

python/cuXfilter/charts/cudatashader/__init__.py

AjayThorve/cuxfilter

537ff67de80439a43e0bad7373558f5e25dcb112

[ "Apache-2.0" ]

2

2019-03-06T02:10:05.000Z

2020-05-06T06:33:02.000Z

python/cuXfilter/charts/cudatashader/__init__.py

AjayThorve/cuxfilter

537ff67de80439a43e0bad7373558f5e25dcb112

[ "Apache-2.0" ]

null

python/cuXfilter/charts/cudatashader/__init__.py

AjayThorve/cuxfilter

537ff67de80439a43e0bad7373558f5e25dcb112

[ "Apache-2.0" ]

null

from .cudatashader import scatter_geo, scatter, line, heatmap

61

0.836066

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61

6.25

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0

0.098361

61

1

61

0.909091

0

1

0

true

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1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

6e80a9d159babd98381532f9d38035d7836e7baf

179

py

Python

kokoropy/scaffolding/scaffold_cms/controllers/page.py

goFrendiAsgard/kokoropy

49c8ca4b7dd2a084f2ced33fc5987b8a8b62c995

[ "MIT" ]

5

2015-01-06T17:01:59.000Z

2016-08-13T05:29:24.000Z

kokoropy/scaffolding/scaffold_cms/controllers/page.py

goFrendiAsgard/kokoropy

49c8ca4b7dd2a084f2ced33fc5987b8a8b62c995

[ "MIT" ]

5

2015-01-05T14:32:59.000Z

2015-09-29T10:27:27.000Z

kokoropy/scaffolding/scaffold_cms/controllers/page.py

goFrendiAsgard/kokoropy

49c8ca4b7dd2a084f2ced33fc5987b8a8b62c995

[ "MIT" ]

6

2015-01-06T17:02:01.000Z

2016-11-11T02:50:27.000Z

from kokoropy.controller import Crud_Controller from ..models._all import Page class Page_Controller(Crud_Controller): __model__ = Page Page_Controller.publish_route()

25.571429

47

0.798883

22

179

6.045455

0.545455

0.210526

0

0.139665

179

7

48

25.571429

0.863636

0

1

0

false

0

0.4

0

0.8

0

1

0

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1

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1

0

null

0

1

0

1

0

5

6e821b2a6878f04a0b4d72a67ec636b8137f0150

2,102

py

Python

tests/terraform/checks/resource/aws/test_LBDeletionProtection.py

kylelaker/checkov

6eada26030a87f397a6bf1831827b3dc6c5dad2d

[ "Apache-2.0" ]

3

2021-04-19T17:17:21.000Z

2021-09-06T06:31:09.000Z

tests/terraform/checks/resource/aws/test_LBDeletionProtection.py

kylelaker/checkov

6eada26030a87f397a6bf1831827b3dc6c5dad2d

[ "Apache-2.0" ]

16

2021-03-09T07:38:38.000Z

2021-06-09T03:53:55.000Z

tests/terraform/checks/resource/aws/test_LBDeletionProtection.py

kylelaker/checkov

6eada26030a87f397a6bf1831827b3dc6c5dad2d

[ "Apache-2.0" ]

1

2022-01-06T08:04:56.000Z

import unittest import hcl2 from checkov.terraform.checks.resource.aws.LBDeletionProtection import check from checkov.common.models.enums import CheckResult class TestLBDeletionProtection(unittest.TestCase): def test_failure(self): hcl_res = hcl2.loads(""" resource "aws_lb" "test_failed" { name = "test-lb-tf" internal = false load_balancer_type = "network" subnets = aws_subnet.public.*.id enable_deletion_protection = false } """) resource_conf = hcl_res['resource'][0]['aws_lb']['test_failed'] scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.FAILED, scan_result) def test_failure_missing_attribute(self): hcl_res = hcl2.loads(""" resource "aws_lb" "test_failed" { name = "test-lb-tf" internal = false load_balancer_type = "network" subnets = aws_subnet.public.*.id } """) resource_conf = hcl_res['resource'][0]['aws_lb']['test_failed'] scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.FAILED, scan_result) def test_success(self): hcl_res = hcl2.loads(""" resource "aws_lb" "test_success" { name = "test-lb-tf" internal = false load_balancer_type = "network" subnets = aws_subnet.public.*.id enable_deletion_protection = true } """) resource_conf = hcl_res['resource'][0]['aws_lb']['test_success'] scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) if __name__ == '__main__': unittest.main()

38.218182

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2,102

5.333333

0.272727

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0.051136

0.056818

0.72822

0.660038

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54

77

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0.066667

false

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0

0.177778

0

null

0

1

0

null

0

5

6e8b87175f17706e19f2c4d7495fe375c7bcd357

91

py

Python

src/userlogs/admin.py

cbsBiram/xarala__ssr

863e1362c786daa752b942b796f7a015211d2f1b

[ "FSFAP" ]

null

src/userlogs/admin.py

cbsBiram/xarala__ssr

863e1362c786daa752b942b796f7a015211d2f1b

[ "FSFAP" ]

null

src/userlogs/admin.py

cbsBiram/xarala__ssr

863e1362c786daa752b942b796f7a015211d2f1b

[ "FSFAP" ]

null

from django.contrib import admin from .models import UserLog admin.site.register(UserLog)

18.2

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0.824176

13

91

5.769231

0.692308

0

0.10989

91

4

33

22.75

0.925926

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6ed905ce6c0fd0e90fe7c53c90e3ea2223aea8cc

168

py

Python

service_layer/customer_service_interface.py

yeonghwanchoi/Project_bank

931bb22aa641101e3cb8eb3501f97ff99b120920

[ "MIT" ]

null

service_layer/customer_service_interface.py

yeonghwanchoi/Project_bank

931bb22aa641101e3cb8eb3501f97ff99b120920

[ "MIT" ]

null

service_layer/customer_service_interface.py

yeonghwanchoi/Project_bank

931bb22aa641101e3cb8eb3501f97ff99b120920

[ "MIT" ]

null

from abc import ABC, abstractmethod class CustomerServiceInterface(ABC): @abstractmethod def get_all_accounts_for_user(self, id: int) -> list: pass

16.8

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0.720238

20

168

5.85

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0.208333

168

9

58

18.666667

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0.2

false

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1

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null

1

0

1

0

null

0

1

0

1

0

5

42b6d6d0608b9e9067ad3b832005fe658c96ba6d

58

py

Python

ConvertText.py

danheeks/PyCAD

711543aaa88c88a82d909f329b6ee36a9b96ae79

[ "BSD-3-Clause" ]

17

2018-07-30T17:38:02.000Z

2022-02-03T10:35:38.000Z

ConvertText.py

danheeks/PyCAD

711543aaa88c88a82d909f329b6ee36a9b96ae79

[ "BSD-3-Clause" ]

2

2020-06-11T10:29:06.000Z

2020-06-11T15:42:00.000Z

ConvertText.py

danheeks/PyCAD

711543aaa88c88a82d909f329b6ee36a9b96ae79

[ "BSD-3-Clause" ]

null

from HeeksFont import ConvertHeeksFont ConvertHeeksFont()

19.333333

38

0.87931

5

58

10.2

0.8

0

0.086207

58

3

39

19.333333

0.962264

0

1

0

true

0

0.5

0

0.5

0

1

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1

null

0

1

0

null

0

1

0

1

0

5

42c2a938308ccc46ba4f62ae26262f96eff8cfcc

82

py

Python

django_group_by/__init__.py

alissonmuller/django-group-by

645c36ad2c3ab1f4691de6fcc04fed8b5d7ef78d

[ "MIT" ]

25

2016-09-29T15:25:16.000Z

2021-09-19T14:20:58.000Z

django_group_by/__init__.py

alissonmuller/django-group-by

645c36ad2c3ab1f4691de6fcc04fed8b5d7ef78d

[ "MIT" ]

22

2016-05-29T00:14:47.000Z

2019-06-08T13:24:21.000Z

django_group_by/__init__.py

alissonmuller/django-group-by

645c36ad2c3ab1f4691de6fcc04fed8b5d7ef78d

[ "MIT" ]

2

2018-09-24T07:28:39.000Z

2019-02-12T14:09:18.000Z

""" This module contains the package exports. """ from .mixin import GroupByMixin

16.4

41

0.756098

10

82

6.2

1

0

0.146341

82

4

42

20.5

0.885714

0.5

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

42f11f9d1898b3c5ffb47bdd9af94aa188c539c6

936

py

Python

mocks/mock_drive_manager.py

shepherdjay/-r-winnipegjets-scripts

2edeb1c4a48077cf9c3a21f92fa6f69412ba7de2

[ "MIT" ]

null

mocks/mock_drive_manager.py

shepherdjay/-r-winnipegjets-scripts

2edeb1c4a48077cf9c3a21f92fa6f69412ba7de2

[ "MIT" ]

null

mocks/mock_drive_manager.py

shepherdjay/-r-winnipegjets-scripts

2edeb1c4a48077cf9c3a21f92fa6f69412ba7de2

[ "MIT" ]

null

"""Module containing the definition of a mocked out GDocs dependency. This is for test use only""" class MockDriveManager(): """Mocked out version of DriveManager for test purposes""" def __init__(self): none = None def get_file_entries(): none = None def get_drive_filetype(): none = None def get_all_books_sheets(): none = None def get_games_result(): none = None def convert_rank(): none = None def get_current_leaders(): none = None def get_unwritten_leaderboard_games(): none = None def get_history_game_points(): none = None def overwrite_leaderboard(): none = None def update_answerkey_results(): none = None def update_game_start_time(): none = None def create_new_sheet(): none = None def new_response_data_available(): none = None

19.914894

98

0.612179

112

936

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0.5

0.207407

0.264815

0.181481

0

0.310897

936

46

99

20.347826

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0.154915

0

0.482759

0

1

0.482759

false

0

0.517241

0

null

1

0

null

0

1

0

1

0

5

6e353d78b983b52908ae505279a61410a0d5812d

50,536

py

Python

st_rationale.py

microsoft/RationaleST

760c10a44aa89bd0022db34afd0ffa4fb41ac1e3

[ "MIT" ]

null

st_rationale.py

microsoft/RationaleST

760c10a44aa89bd0022db34afd0ffa4fb41ac1e3

[ "MIT" ]

null

st_rationale.py

microsoft/RationaleST

760c10a44aa89bd0022db34afd0ffa4fb41ac1e3

[ "MIT" ]

null

""" Author: Meghana Bhat (bhat.89@osu.edu) Code for Self-training for Rationale using few-shot learning. This code base is adapted from UST (https://github.com/microsoft/UST) """ from collections import defaultdict from sklearn.utils import shuffle from transformers import * import logging import math import models import numpy as np import os, sys import json import nltk import tensorflow as tf import tensorflow.keras as K import tensorflow.keras.backend as kb import tensorflow_addons as tfa from focal_loss import BinaryFocalLoss, SparseCategoricalFocalLoss import random from sklearn.metrics import f1_score from sklearn.metrics import precision_recall_fscore_support logger = logging.getLogger('STRationale') def create_learning_rate_scheduler(max_learn_rate=5e-5, end_learn_rate=1e-7, warmup_epoch_count=10, total_epoch_count=90): def lr_scheduler(epoch): if epoch < warmup_epoch_count: res = (max_learn_rate/warmup_epoch_count) * (epoch + 1) else: res = max_learn_rate*math.exp(math.log(end_learn_rate/max_learn_rate)*(epoch-warmup_epoch_count+1)/(total_epoch_count-warmup_epoch_count+1)) return float(res) learning_rate_scheduler = tf.keras.callbacks.LearningRateScheduler(lr_scheduler, verbose=1) return learning_rate_scheduler def train_model(max_seq_length, X, y, X_test, y_test, X_unlabeled, model_dir, tokenizer, sup_batch_size=4, unsup_batch_size=32, unsup_size=4096, sample_size=16384, TFModel=TFBertModel, Config=BertConfig, pt_teacher_checkpoint='bert-base-uncased', sample_scheme='easy_bald_class_conf', T=30, alpha=0.1, valid_split=0.5, sup_epochs=70, unsup_epochs=25, N_base=10, dense_dropout=0.5, attention_probs_dropout_prob=0.3, hidden_dropout_prob=0.3, test_data=None, unlabeled_data=None, class_weight=None, type_="token", X_dev=None, y_dev=None, task=None): #labels = [0, 1] #fix hardcoding labels = set(y[:,0]) logger.info ("Class labels {}".format(labels)) #split X and y to train and dev with valid_split if valid_split > 0: train_size = int((1. - valid_split)*len(X["input_ids"])) if '_neg' in type_: X_train, y_train = {"input_ids": X["input_ids"][:train_size], "token_type_ids": X["token_type_ids"][:train_size], "attention_mask": X["attention_mask"][:train_size], "input_ids_r":X["input_ids_r"][:train_size], "token_type_ids_r":X["token_type_ids_r"][:train_size], "attention_mask_r":X["attention_mask_r"][:train_size], "input_ids_neg":X["input_ids_neg"][:train_size], "token_type_ids_neg":X["token_type_ids_neg"][:train_size], "attention_mask_neg":X["attention_mask_neg"][:train_size]}, y[:train_size] X_dev, y_dev = {"input_ids": X["input_ids"][train_size:], "token_type_ids": X["token_type_ids"][train_size:], "attention_mask": X["attention_mask"][train_size:], "input_ids_r":X["input_ids_r"][train_size:], "token_type_ids_r":X["token_type_ids_r"][train_size:], "attention_mask_r":X["attention_mask_r"][train_size:], "input_ids_neg":X["input_ids_neg"][train_size:], "token_type_ids_neg":X["token_type_ids_neg"][train_size:], "attention_mask_neg":X["attention_mask_neg"][train_size:]}, y[train_size:] elif 'joint' in type_: X_train, y_train = {"input_ids": X["input_ids"][:train_size], "token_type_ids": X["token_type_ids"][:train_size], "attention_mask": X["attention_mask"][:train_size], "input_ids_r":X["input_ids_r"][:train_size], "token_type_ids_r":X["token_type_ids_r"][:train_size], "attention_mask_r":X["attention_mask_r"][:train_size]}, y[:train_size] X_dev, y_dev = {"input_ids": X["input_ids"][train_size:], "token_type_ids": X["token_type_ids"][train_size:], "attention_mask": X["attention_mask"][train_size:], "input_ids_r":X["input_ids_r"][train_size:], "token_type_ids_r":X["token_type_ids_r"][train_size:], "attention_mask_r":X["attention_mask_r"][train_size:]}, y[train_size:] else: X_train, y_train = {"input_ids": X["input_ids"][:train_size], "token_type_ids": X["token_type_ids"][:train_size], "attention_mask": X["attention_mask"][:train_size]}, y[:train_size] X_dev, y_dev = {"input_ids": X["input_ids"][train_size:], "token_type_ids": X["token_type_ids"][train_size:], "attention_mask": X["attention_mask"][train_size:]}, y[train_size:] else: X_train, y_train = X, y X_dev, y_dev = X_dev, y_dev logger.info("X Train Shape: {} {}".format(X_train["input_ids"].shape, y_train.shape)) logger.info("X Dev Shape: {} {}".format(X_dev["input_ids"].shape, y_dev.shape)) logger.info("X Test Shape: {} {}".format(X_test["input_ids"].shape, y_test.shape)) logger.info ("X Unlabeled Shape: {}".format(X_unlabeled["input_ids"].shape)) strategy = tf.distribute.MirroredStrategy() gpus = strategy.num_replicas_in_sync logger.info('Number of devices: {}'.format(gpus)) #run the base model n times with different initialization to select best base model based on validation loss best_base_model = None best_validation_loss = np.inf for counter in range(N_base): #original N_base=10 with strategy.scope(): if 'mtl' in type_: rat_loss = None if 'focal' in type_: rat_loss = SparseCategoricalFocalLoss(gamma=2) else: rat_loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) model = models.construct_teacher_mtl(TFModel, Config, pt_teacher_checkpoint, max_seq_length, len(labels), dense_dropout=dense_dropout, attention_probs_dropout_prob=attention_probs_dropout_prob, hidden_dropout_prob=hidden_dropout_prob) model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss=[tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), rat_loss], metrics=[tf.keras.metrics.SparseCategoricalAccuracy(name="dense_3_classification_acc")])#, tf.keras.metrics.SparseCategoricalAccuracy(name="token_acc")]) #, sample_weight_mode="temporal") elif type_ == 'joint': rat_loss = None if 'focal' in type_: rat_loss = SparseCategoricalFocalLoss(gamma=2) else: rat_loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) model = models.construct_teacher_joint(TFModel, Config, pt_teacher_checkpoint, max_seq_length, len(labels), dense_dropout=dense_dropout, attention_probs_dropout_prob=attention_probs_dropout_prob, hidden_dropout_prob=hidden_dropout_prob) model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss={'task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_classifier':tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_task_classifier': None, 'l2_distance': None}, metrics={'task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'l2_distance': None}) elif 'joint_neg' in type_: rat_loss = None if 'focal' in type_: rat_loss = SparseCategoricalFocalLoss(gamma=2) else: rat_loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) def custom_loss(y_true, y_pred): cce = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE) if 'focal' in type_: cce = SparseCategoricalFocalLoss(gamma=2, reduction=tf.keras.losses.Reduction.NONE) cce_loss = ((cce(y_true, y_pred))* 1/(unsup_batch_size*gpus)) l1_loss = tf.reduce_mean(tf.reduce_sum(tf.math.abs(y_pred),axis=0)) coh_loss = tf.reduce_mean(tf.reduce_sum(tf.math.abs(y_pred[1:]-y_pred[:-1]), axis=0)) #l2_loss = 0.0 #logger.info(l1_loss) return cce_loss + 0.01*l1_loss + 0.01*coh_loss def custom_loss_neg(y_true, y_pred): cce = tf.keras.losses.CategoricalCrossentropy(from_logits=False, reduction=tf.keras.losses.Reduction.NONE) return tf.reduce_sum(cce(y_true, y_pred))*(1/(unsup_batch_size*gpus)) model = models.construct_teacher_joint_neg(TFModel, Config, pt_teacher_checkpoint, max_seq_length, len(labels), dense_dropout=dense_dropout, attention_probs_dropout_prob=attention_probs_dropout_prob, hidden_dropout_prob=hidden_dropout_prob) loss_weights = [1.0, 1.0, 1.0, 1.0] if '_noexp' in type_: loss_weights = [1.0, 0.0, 0.0, 0.0] elif '_no_suffcomp' in type_: loss_weights = [1.0, 1.0, 0, 0] model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss={'task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_classifier':rat_loss, 'rationale_task_classifier': None, 'not_rationale_task_classifier': None}, metrics={'task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'not_rationale_task_classifier': None}, loss_weights=loss_weights) if counter == 0: logger.info(model.summary()) model_file = os.path.join(model_dir, "model_label.h5") model_file_task = os.path.join(model_dir, "model_task.h5") model_file_best = os.path.join(model_dir, "model_best.h5") if os.path.exists(model_file): model.load_weights(model_file) #model_task.load_weights(model_file_task) best_base_model = model logger.info ("Model file loaded from {}".format(model_file)) break elif 'mtl' in type_ : logger.info(y_train.shape) model.fit(x=X_train, y=[y_train[:,0], y_train[:,1:]], shuffle=True, epochs=sup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev[:,1:]]), batch_size=sup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='loss', patience=5, restore_best_weights=True)]) # class_weight=class_weight) val_loss = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:]]) elif '_neg' in type_ : y_neg = np.full((len(y_train),len(labels)), 1/len(labels)) model.fit(x=X_train, y=[y_train[:,0], y_train[:,1:], y_train[:,0], y_neg], shuffle=True, epochs=sup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.full((len(y_dev), len(labels)), 1/len(labels))]), batch_size=sup_batch_size*1, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True)]) #, class_weight=class_weight) val_loss = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.full((len(y_dev), len(labels)), 1/len(labels))]) elif 'joint' in type_: _placeholder_labels = np.empty((y_train.shape[0], y_train.shape[0])) model.fit(x=X_train, y=[y_train[:,0], y_train, y_train[:,0], np.ones(len(y_train))], shuffle=True, epochs=sup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev, y_dev[:,0], np.ones(len(y_dev))]), batch_size=sup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='loss', patience=5, restore_best_weights=True)]) # class_weight=class_weight) val_loss = model.evaluate(X_dev, [y_dev[:,0], y_dev, y_dev[:,0], np.ones(len(y_dev))]) logger.info ("Validation loss for run {} : {}".format(counter, val_loss)) if val_loss[0] < best_validation_loss: best_base_model = model best_validation_loss = val_loss[0] model = best_base_model ''' if 'mtl' in type_: logger.info ("Best validation acc for base model {}: {}".format(best_validation_loss, model.evaluate(X_dev, [y_dev[:,0],y_dev[:,1:]]))) ''' if not os.path.exists(model_file): model.save_weights(model_file) logger.info ("Model file saved to {}".format(model_file)) best_val_acc = 0. best_test_acc = 0. max_test_acc = 0. max_task_acc = 0. max_best_acc = 0. val_loss = 0. if 'mtl' in type_: logger.info("y_test: {}".format(y_test)) test_acc = model.evaluate(X_test, [y_test[:,0], y_test[:,1:]], verbose=0)[4] task_acc = model.evaluate(X_test, [y_test[:,0], y_test[:,1:]], verbose=0)[3] val_loss = model.evaluate(X_test, [y_test[:,0], y_test[:,1:]], verbose=0)[0] elif '_neg' in type_: out = model.evaluate(X_test, [y_test[:,0], y_test[:,1:], y_test[:,0], np.full((len(y_test), len(labels)), 1/len(labels))]) task_acc, test_acc, r_acc = out[3], out[4], out[5] elif 'joint' in type_: out = model.evaluate(X_test, [y_test[:,0], y_test, y_test[:,0], np.ones(len(y_test))]) task_acc, test_acc, r_acc = out[3], out[4], out[5] logger.info ("Test token acc for run {} : {}".format(counter, test_acc)) logger.info ("Best Test task acc for run {} with total loss : {}".format(counter, task_acc)) if 'mtl' in type_: class_acc = model.predict(X_test)[0] test_pred = model.predict(X_test)[1] class_acc = np.argmax(class_acc, axis=-1) elif 'joint' in type_: out = model.predict(X_test) class_acc, test_pred, r_acc = out[0], out[1], out[2] class_acc = np.argmax(class_acc, axis=-1) logger.info("Class predictions shape {}".format(class_acc.shape)) logger.info("Teacher model best score (macro/task): {}".format(precision_recall_fscore_support(class_acc, y_test[:,0], average='macro'))) logger.info("Teacher model best score (micro/task): {}".format(precision_recall_fscore_support(class_acc, y_test[:,0], average='micro'))) logger.info("Token Predictions shape {}".format(test_pred.shape)) pred, truth = [], [] logger.info(test_pred) test_pred = np.argmax(tf.nn.softmax(test_pred, axis=-1), axis=-1) logger.info("Printing prediction data on teacher model for run {}: {}".format(counter, test_pred)) tp, fn, fp = 0, 0, 0 pred_1, pred_0, truth_1, truth_0 = 0, 0, 0, 0 for i in range(len(test_pred)): temp_p, temp_t, ct = [],[], 0 temp = tokenizer.convert_ids_to_tokens(X_test["input_ids"][i])[1:] for j in range(0,len(test_pred[0])-1): if test_pred[i][j] == 1: temp_p.append(temp[j]) if y_test[i][j+1] == 1: #to skip evaluation of the task label temp_t.append(temp[j]) pred_1 += test_pred[i].sum() pred_0+= max_seq_length-pred_1 truth_1 += y_test[i].sum() truth_0+= max_seq_length-truth_1 pred.append(' '.join(temp_p)) truth.append(' '.join(temp_t)) for word in temp_p: if word in temp_t: ct+=1 temp_t.remove(word) else: fp+=1 tp +=ct fn += (y_test[i].sum()-ct) p = tp/(tp+fp+0.0000001) r = tp/(tp+fn+0.0000001) logger.info("Token-level: {}".format((tp)/(tp+(0.5*(fp+fn))))) logger.info("Rationale coverage (recall): {}".format(r)) logger.info("Token Precision: {}".format(p)) logger.info("Token overlap: {}".format(tp/(tp+fp+fn))) score1, score2, score3, score4 = 0.0, 0.0, 0.0, 0.0 for i in range(len(pred)): score1 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(1, 0, 0, 0)) score2 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(0, 1, 0, 0)) score3 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(0, 0, 1, 0)) score4 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(0, 0, 0, 1)) logger.info("BLEU-1 score of rationales on test set (teacher model): {} ".format(score1/len(pred))) logger.info("BLEU-2 score of rationales on test set (teacher model): {} ".format(score2/len(pred))) logger.info("BLEU-3 score of rationales on test set (teacher model): {} ".format(score3/len(pred))) logger.info("BLEU-4 score of rationales on test set (teacher model): {} ".format(score4/len(pred))) best_loss = np.inf data = [] for i in range(len(X_test["input_ids"])): text = tokenizer.convert_ids_to_tokens(X_test["input_ids"][i]) temp = dict() temp['text'] = ' '.join(text) temp['truth'] = truth[i] temp['pred'] = pred[i] temp['score'] = nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split()) data.append(temp) with open(os.path.join(model_dir, 'rationale_output_test_teacher_'+type_+'.json'), 'w') as f: json.dump(data, f) model_student = None # model_task for epoch in range(unsup_epochs): logger.info ("Starting loop {}".format(epoch)) if type_ == 'mtl': test_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:]], verbose=0)[-1] task_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:]], verbose=0)[-2] val_loss = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:]], verbose=0)[0] if task_acc > max_task_acc: logger.info ("Val acc (task) {}".format(task_acc)) max_task_acc = task_acc model.save_weights(model_file_best) val_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:]], verbose=0)[-2] test_task_acc = model.evaluate(X_test, [y_test[:,0], y_test[:,1:]], verbose=0)[-2] elif 'joint_neg' in type_: y_neg_dev = np.full((len(y_dev), len(labels)), 1/len(labels)) y_neg_test = np.full((len(y_test), len(labels)), 1/len(labels)) y_dev_plg = [y_dev[:,1:], y_dev[:,0], np.full((len(y_dev),len(labels)), 1/len(labels))] y_test_plg = [y_test[:,1:], y_test[:,0], np.full((len(y_test),len(labels)), 1/len(labels))] test_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], y_neg_dev], verbose=0)[-2] task_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], y_neg_dev], verbose=0)[-3] out1 = model.predict(X_test) acc1, y_pred1, r_acc1 = out1[0], out1[1], out1[2] y_pred1 = np.argmax(y_pred1, axis=-1) acc1 = np.argmax(acc1, axis=-1) r_acc1 = np.argmax(r_acc1, axis=-1) logger.info("Model performance for token (macro/task): {}".format(precision_recall_fscore_support(y_pred1, y_test[:,1:], average='micro'))) logger.info("Model performance for token (macro/task): {}".format(precision_recall_fscore_support(y_pred1, y_test[:,1:], average='macro'))) logger.info("Model performance for task (macro/task): {}".format(precision_recall_fscore_support(acc1, y_test[:,0], average='macro'))) val_loss = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], y_neg_dev], verbose=0)[0] if task_acc > max_task_acc: logger.info ("Val acc (task) {}".format(task_acc)) max_task_acc = task_acc best_val_acc = task_acc model.save_weights(model_file_best) #_student = deepcopy(model) val_acc = task_acc #model.evaluate(X_dev, [y_dev[:,0], y_dev, y_dev[:,0], y_neg_dev], verbose=0)[-3] if test_acc > max_test_acc: max_test_acc = test_acc test_task_acc = model.evaluate(X_test, [y_test[:,0], y_test[:,1:], y_test[:,0], y_neg_test], verbose=0)[-3] elif type_ == 'joint': # or 'joint_neg' in type_: test_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.ones(len(y_dev))], verbose=0)[-2] task_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.ones(len(y_dev))], verbose=0)[-3] val_loss = model.evaluate(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.ones(len(y_dev))], verbose=0)[0] if task_acc > max_task_acc: logger.info ("Val acc (task) {}".format(task_acc)) max_task_acc = task_acc best_val_acc = task_acc model.save_weights(model_file_best) #_student = deepcopy(model) val_acc = model.evaluate(X_dev, [y_dev[:,0], y_dev, y_dev[:,0], np.ones(len(y_dev))], verbose=0)[-3] ''' if val_loss < best_loss: best_loss = val_loss model.save_weights(model_file_best) #_student = deepcopy(model) ''' if test_acc > max_test_acc: max_test_acc = test_acc test_task_acc = model.evaluate(X_test, [y_test[:,0], y_test[:,1:], y_test[:,0], np.ones(len(y_test))], verbose=0)[-3] if '_neg' in type_: y_neg_dev = np.full((len(y_dev), len(labels)), 1/len(labels)) y_neg_test = np.full((len(y_test), len(labels)), 1/len(labels)) temp = model.evaluate(X_test, [y_test[:,0], y_test[:,1:], y_test[:,0], y_neg_test], verbose=0) elif 'joint' in type_: temp = model.evaluate(X_test, [y_test[:,0], y_test[:,1:], y_test[:,0], np.ones(len(y_test))], verbose=0) elif 'mtl' in type_: temp = model.evaluate(X_test, [y_test[:,0], y_test[:,1:]], verbose=0) logger.info("Print acc (task) for joint {}".format(temp)) logger.info ("Val acc (token) {}".format(test_acc)) logger.info ("Val acc (task) {}".format(task_acc)) logger.info ("Test acc (task) {}".format(test_task_acc)) if test_task_acc >= max_best_acc: max_best_acc = test_task_acc model_file = os.path.join(model_dir, "model_token_{}_{}.h5".format(epoch, sample_scheme)) model_file_task = os.path.join(model_dir, "model_task_{}_{}.h5".format(epoch, sample_scheme)) if os.path.exists(model_file): model.load_weights(model_file) logger.info ("Model file loaded from {}".format(model_file)) continue if 'mtl' in type_ : acc, y_pred = model.predict(X_unlabeled, batch_size=256) #y_val = np.amax(acc, axis=-1) #y_rat = np.amax(y_pred, axis=-1) y_pred = np.argmax(y_pred, axis=-1) #.flatten() acc = np.argmax(acc, axis=-1) elif 'joint' in type_: out = model.predict(X_unlabeled, batch_size=64) acc, y_pred, r_acc = out[0], out[1], out[2] #y_val = np.amax(acc, axis=-1) #y_rat = np.amax(y_pred, axis=-1) y_pred = np.argmax(y_pred, axis=-1) #.flatten() acc = np.argmax(acc, axis=-1) r_acc = np.argmax(r_acc, axis=-1) #compute confidence on the unlabeled set if sample_size < len(X_unlabeled["input_ids"]): logger.info ("Evaluating confidence on {} number of instances sampled from {} unlabeled instances".format(sample_size, len(X_unlabeled["input_ids"]))) indices = np.random.choice(len(X_unlabeled["input_ids"]), sample_size, replace=False) if '_neg' in type_: X_unlabeled_sample, y_pred = {'input_ids': X_unlabeled["input_ids"][indices], 'token_type_ids': X_unlabeled["token_type_ids"][indices], 'attention_mask': X_unlabeled["attention_mask"][indices], 'input_ids_r':X_unlabeled['input_ids_r'][indices], 'token_type_ids_r':X_unlabeled['token_type_ids_r'][indices], 'attention_mask_r':X_unlabeled['attention_mask_r'][indices], 'input_ids_neg':X_unlabeled['input_ids_neg'][indices], 'token_type_ids_neg':X_unlabeled['token_type_ids_neg'][indices], 'attention_mask_neg':X_unlabeled['attention_mask_neg'][indices]}, y_pred[indices] elif 'joint' in type_: X_unlabeled_sample, y_pred = {'input_ids': X_unlabeled["input_ids"][indices], 'token_type_ids': X_unlabeled["token_type_ids"][indices], 'attention_mask': X_unlabeled["attention_mask"][indices], 'input_ids_r':X_unlabeled['input_ids_r'][indices], 'token_type_ids_r':X_unlabeled['token_type_ids_r'][indices], 'attention_mask_r':X_unlabeled['attention_mask_r'][indices]}, y_pred[indices] else: X_unlabeled_sample, y_pred = {'input_ids': X_unlabeled["input_ids"][indices], 'token_type_ids': X_unlabeled["token_type_ids"][indices], 'attention_mask': X_unlabeled["attention_mask"][indices]}, y_pred[indices] else: logger.info ("Evaluating confidence on {} number of instances".format(len(X_unlabeled["input_ids"]))) X_unlabeled_sample = X_unlabeled #X_unlabeled_sample = {'input_ids': X_unlabeled["input_ids"][indices], 'token_type_ids': X_unlabeled["token_type_ids"][indices], 'attention_mask': X_unlabeled["attention_mask"][indices]} #logger.info (X_unlabeled_sample["input_ids"][:5]) if 'joint' in type_: ids = [] attention_mask_r = np.ones((len(y_pred), max_seq_length)) attention_mask_r[:,1:] = np.array(y_pred) #logger.info(y_pred.shape) #logger.info("Percentage of rationales selected: {}".format(np.mean(np.sum(attention_mask_r, axis=-1)))) attention_mask_r[:,0] = 1 negation_mask = np.where(attention_mask_r==0, 1, 0) negation_mask[:,0] = 1 X_sample = {"input_ids": np.array(X_unlabeled_sample["input_ids"]), "token_type_ids": np.array(X_unlabeled_sample['token_type_ids']), "attention_mask": attention_mask_r} #mask tokens that are not rationales u-r if '_neg' in type_: X_negation_sample = {"input_ids": np.array(X_unlabeled_sample["input_ids"]), "token_type_ids": np.array(X_unlabeled_sample['token_type_ids']), "attention_mask": negation_mask} for i in range(len(y_pred)): X_sample["input_ids"][i, 1:] = np.where(y_pred[i]==0, 103, X_sample["input_ids"][i, 1:]) if '_neg' in type_: X_negation_sample["input_ids"][i, 1:] = np.where(y_pred[i]==0, X_negation_sample["input_ids"][i, 1:], 103) X_negation_sample["input_ids"][:,0] = 101 X_sample["input_ids"][:,0] = 101 logger.info("Extracted rationale from teacher model as input for task: {}".format(X_sample["input_ids"][:5])) logger.info("Extracted rationale from teacher model as input for task: {}".format(X_negation_sample["input_ids"][:5])) y_mean, y_var, y_T = None, None, None if 'mtl' in type_: acc, y_pred = model.predict(X_unlabeled_sample, batch_size=256) y_val = np.amax(tf.math.softmax(acc, axis=-1).numpy(), axis=-1) y_rat = np.amax(tf.math.softmax(y_pred, axis=-1).numpy(), axis=-1) y_pred = np.argmax(y_pred, axis=-1) #.flatten() acc = np.argmax(acc, axis=-1) elif 'joint' in type_: if 'pruthi_' in type_: out = y_train acc, y_pred, r_acc = y_train[:,0], y_train[:,1:], y_train[:,0] y_val = acc y_rat = np.array(y_pred).astype('float') #y_rat = y_rat[:,1:] #y_pred = y_pred[:,1:] else: out = model.predict(X_unlabeled_sample, batch_size=64) acc, y_pred, r_acc = out[0], out[1], out[2] y_val = np.amax(tf.math.softmax(acc, axis=-1).numpy(), axis=-1) y_rat = np.amax(tf.math.softmax(y_pred, axis=-1).numpy(), axis=-1) y_pred = np.argmax(y_pred, axis=-1) #.flatten() acc = np.argmax(acc, axis=-1) r_acc = np.argmax(r_acc, axis=-1) #y_rat = y_rat[:, 1:] #y_pred = y_pred[:,1:] # sample from unlabeled set if 'uni' in sample_scheme: logger.info ("Sampling uniformly") if unsup_size < len(X_unlabeled_sample['input_ids']): '''X_unlabeled_sample, y_pred = {"input_ids": X_unlabeled_sample['input_ids'][indices], "token_type_ids": X_unlabeled_sample['token_type_ids'][indices], "attention_mask": X_unlabeled_sample['attention_mask'][indices]}, y_pred[indices] if type_ == 'decoupled' or ('joint' in type_): X_sample = {"input_ids": X_sample['input_ids'][indices], "token_type_ids": X_sample['token_type_ids'][indices], "attention_mask": X_sample['attention_mask'][indices]} ''' #acc = acc[:,None] #y_batch = np.concatenate((acc[indices], y_pred), axis=1) acc = acc[:,None] y_batch = np.concatenate((acc, y_pred), axis=1) logging.info("y_batch shape {}".format(y_batch.shape)) indices = [] for i in labels: indx = np.where(y_batch[:,0]==i)[0] GLOBAL_SEED = int(os.getenv("PYTHONHASHSEED")) random.Random(GLOBAL_SEED).shuffle(indx) if len(indx) > unsup_size: indx = indx[:unsup_size] logger.info("Shape of predicted labels for class {} : {}".format(i, len(indx))) indices.extend(indx) indices = np.asarray(indices) #indices = np.random.choice(len(X_unlabeled_sample['input_ids']), unsup_size, replace=False) X_batch, y_batch = {"input_ids": X_unlabeled_sample['input_ids'][indices], "token_type_ids": X_unlabeled_sample['token_type_ids'][indices], "attention_mask": X_unlabeled_sample['attention_mask'][indices]}, y_batch[indices] if 'joint' in type_: X_rationale_batch = {"input_ids_r": X_sample['input_ids'][indices], "token_type_ids_r": X_sample['token_type_ids'][indices], "attention_mask_r": X_sample['attention_mask'][indices]} if '_neg' in type_: X_neg_rationale_batch = {"input_ids_neg": X_negation_sample['input_ids'][indices], "token_type_ids_neg": X_negation_sample['token_type_ids'][indices], "attention_mask_neg": X_negation_sample['attention_mask'][indices]} else: indices = np.array([i for i in range(len(y_pred))]) acc = acc[:,None] y_batch = np.concatenate((acc[indices], y_pred[indices]), axis=1) X_batch = {"input_ids": X_unlabeled_sample['input_ids'][indices], "token_type_ids": X_unlabeled_sample['token_type_ids'][indices], "attention_mask": X_unlabeled_sample['attention_mask'][indices]} if 'joint' in type_: X_rationale_batch = {"input_ids_r": X_sample['input_ids'][indices], "token_type_ids_r": X_sample['token_type_ids'][indices], "attention_mask_r": X_sample['attention_mask'][indices]} if '_neg' in type_: X_neg_rationale_batch = {"input_ids_neg": X_negation_sample['input_ids'][indices], "token_type_ids_neg": X_negation_sample['token_type_ids'][indices], "attention_mask_neg": X_negation_sample['attention_mask'][indices]} ''' probs = y_val[indices] X_conf = np.ones((len(y_batch), max_seq_length)) X_conf[:,0] = np.log(probs+1e-10)*alpha ''' else: logger.info("No sampling at the moment; choose all the unlabeled examples") X_batch = {"input_ids": X_unlabeled_sample['input_ids'][indices], "token_type_ids": X_unlabeled_sample['token_type_ids'][indices], "attention_mask": X_unlabeled_sample['attention_mask'][indices]} if 'joint' in type_: X_rationale_batch = {"input_ids_r": X_sample['input_ids'][indices], "token_type_ids_r": X_sample['token_type_ids'][indices], "attention_mask_r": X_sample['attention_mask'][indices]} if '_neg' in type_: X_neg_rationale_batch = {"input_ids_neg": X_negation_sample['input_ids'][indices], "token_type_ids_neg": X_negation_sample['token_type_ids'][indices], "attention_mask_neg": X_negation_sample['attention_mask'][indices]} elif 'joint' in type_: acc = acc[:,None] y_batch = np.concatenate((acc[indices], y_pred[indices][:, 1:]), axis=1) logger.info("y_batch shape: {}".format(y_batch.shape)) #X_batch, y_batch, X_conf = f_(tokenizer, X_unlabeled_sample, y_mean, y_var, acc, unsup_size, len(labels), y_T=y_T, type_=type_) probs = y_val[indices] probs_rat = y_rat[indices] cls = list(acc[indices]) logger.info(cls) X_conf = np.ones((len(y_batch), max_seq_length)) log_probs = (probs+1e-10) #+(1-y_batch[:,0])*np.log(1-probs+1e-10)) log_rationale = (probs_rat+1e-10) if 'rwt' in type_: #re-weight labels X_conf[:,0] = np.where(log_probs>0, log_probs, 0.00000001) if 'norm' in type_: X_conf[:,0] = tf.nn.softmax(X_conf[:,0], axis=0) if '_r_' in type_: #re-weight rationales X_conf[:,1:] = np.where(log_rationale>0, log_rationale, 0.000000001) if 'norm' in type_: X_conf[:,1:] = tf.nn.softmax(X_conf[:,1:], axis=0) #X_conf = np.ones((len(X_batch['input_ids']), max_seq_length)) for i in range(len(cls)): X_conf[i,0] = class_weight[cls[i][0]]*X_conf[i,0] #logger.info ("Weights {}".format(X_conf[:10])) logger.info("X_connf shape: {}".format(X_conf.shape)) if 'mtl' in type_: #model = model_student logger.info(y_batch.shape) model.fit(x=X_batch, y=[y_batch[:,0], y_batch[:,1:]], shuffle=True, epochs=unsup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev[:,1:]]), batch_size=unsup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='dense_3_classification_acc', patience=5, restore_best_weights=True)], sample_weight=[X_conf[:,0], X_conf[:,1:]]) if 'fine_tune_teacher' in type_: rat_loss = None if 'focal' in type_: rat_loss = SparseCategoricalFocalLoss(gamma=2) else: rat_loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) loss_weights = None if '_noexp' in type_: loss_weights = [1.0, 0.0] else: loss_weights = [0.5, 0.5] with strategy.scope(): model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss=[tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), rat_loss], metrics=[tf.keras.metrics.SparseCategoricalAccuracy(name="dense_3_classification_acc")])#, tf.keras.metrics.SparseCategoricalAccuracy(name="token_acc")]) #, sample_weight_mode="temporal") model.fit(x=X_train, y=[y_train[:,0], y_train[:,1:]], shuffle=True, epochs=unsup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev[:,1:]]), batch_size=unsup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='val_task_classifier_acc', patience=5, restore_best_weights=True)]) #, sample_weight=[X_conf[:,0], X_conf[:,1:]]) elif type_ == 'joint': logger.info(type_) def custom_loss(y_true, y_pred): logger.info(y_pred) return kb.mean(y_true*y_pred, axis=-1) with strategy.scope(): model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss={'task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'l2_distance': custom_loss}, metrics={'task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'l2_distance':None}) #model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss={'task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_task_classifier': None, 'l2_distance': custom_loss}, metrics=[tf.keras.metrics.SparseCategoricalAccuracy(name="acc"), tf.keras.metrics.SparseCategoricalAccuracy(name="acc"), tf.keras.metrics.SparseCategoricalAccuracy(name="acc"), tf.keras.metrics.Mean(name='mean')]) #X_batch.update(X_rationale_batch) X_batch['input_ids_r'], X_batch['token_type_ids_r'], X_batch['attention_mask_r'] = X_rationale_batch['input_ids_r'], X_rationale_batch['token_type_ids_r'], X_rationale_batch['attention_mask_r'] model.fit(x=X_batch, y=[y_batch[:,0], y_batch, y_batch[:, 0], np.ones(len(y_batch))], shuffle=True, epochs=unsup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev, y_dev[:,0], np.ones(len(y_dev))]), batch_size=unsup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='val_task_classifier_acc', patience=5, restore_best_weights=True)]) # class_weight=class_weight) elif 'joint_neg' in type_: logger.info("Training for without rationales") with strategy.scope(): def custom_loss(y_true, y_pred): cce = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE) tf.print(tf.size(y_true), tf.size(y_pred)) cce_loss = ((cce(y_true, y_pred))* 1/(unsup_batch_size*gpus)) l1_loss = tf.reduce_mean(tf.reduce_sum(tf.math.abs(y_pred),axis=0)) coh_loss = tf.reduce_mean(tf.reduce_sum(tf.math.abs(y_pred[1:]-y_pred[:-1]), axis=0)) #l2_loss = 0.0 #logger.info(l1_loss) return cce_loss + 0.1*l1_loss + 0.01*coh_loss def custom_loss_neg(y_true, y_pred): cce = tf.keras.losses.CategoricalCrossentropy(from_logits=False, reduction=tf.keras.losses.Reduction.NONE) return tf.reduce_sum(cce(y_true, y_pred))*(1/(unsup_batch_size*gpus)) rat_loss = None if 'focal' in type_: rat_loss = SparseCategoricalFocalLoss(gamma=2) else: rat_loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) loss_weights = [1.0, 1.0, 1.0, 1.0] ''' if '_noexp' in type_: loss_weights = [1.0, 0, 0, 0] if '_no_suffcomp' in type_: loss_weights = [1.0, 1.0, 0, 0] ''' model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss={'task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_classifier': custom_loss, 'rationale_task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'not_rationale_task_classifier': custom_loss_neg}, metrics={'task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'not_rationale_task_classifier':None}, loss_weights=loss_weights) X_batch['input_ids_r'], X_batch['token_type_ids_r'], X_batch['attention_mask_r'] = X_rationale_batch['input_ids_r'], X_rationale_batch['token_type_ids_r'], X_rationale_batch['attention_mask_r'] X_batch['input_ids_neg'], X_batch['token_type_ids_neg'], X_batch['attention_mask_neg'] = X_neg_rationale_batch['input_ids_neg'], X_neg_rationale_batch['token_type_ids_neg'], X_neg_rationale_batch['attention_mask_neg'] model.fit(x=X_batch, y=[y_batch[:,0], y_batch[:,1:], y_batch[:, 0], np.full((len(y_batch),len(labels)), 1/len(labels))], shuffle=True, epochs=unsup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.full((len(y_dev), len(labels)), 1/len(labels))]), batch_size=unsup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True)], sample_weight=[X_conf[:,0], X_conf[:,1:], X_conf[:,0], np.ones((len(y_batch)))]) # class_weight=class_weight) if 'fine_tune_teacher' in type_: rat_loss = None if 'focal' in type_: rat_loss = SparseCategoricalFocalLoss(gamma=2) else: rat_loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) with strategy.scope(): loss_weights = [1.0, 1.0, 1.0, 1.0] ''' if '_noexp' in type_: loss_weights = [1.0, 0, 0, 0] elif '_no_suffcomp' in type_: loss_weights = [1.0, 1.0, 0, 0] ''' model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08), loss={'task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'rationale_classifier': rat_loss, 'rationale_task_classifier': tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), 'not_rationale_task_classifier': None}, metrics={'task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'rationale_task_classifier':[tf.keras.metrics.SparseCategoricalAccuracy(name="acc")], 'not_rationale_task_classifier':None}, loss_weights=loss_weights) y_neg = np.full((len(y_train),len(labels)), 1/len(labels)) model.fit(x=X_train, y=[y_train[:,0], y_train[:,1:], y_train[:,0], y_neg], shuffle=True, epochs=sup_epochs, validation_data=(X_dev, [y_dev[:,0], y_dev[:,1:], y_dev[:,0], np.full((len(y_dev), len(labels)), 1/len(labels))]), batch_size=unsup_batch_size*gpus, callbacks=[tf.keras.callbacks.EarlyStopping(monitor='val_task_classifier_acc', patience=5, restore_best_weights=True)]) # class_weight=class_weight) tf.keras.backend.clear_session() if not os.path.exists(model_file): model.save_weights(model_file) logger.info ("Model file saved to {}".format(model_file)) model_student = model model_student.load_weights(model_file_best) if 'mtl' in type_: acc, y_pred = model_student.predict(X_test) y_pred = np.argmax(y_pred, axis=-1) acc = np.argmax(acc, axis=-1) #logger.info("Micro score (task): {}".format(precision_recall_fscore_support(acc, y_test[:,0], average='micro'))) elif 'joint' in type_: out = model_student.predict(X_test) acc, y_pred, r_acc = out[0], out[1], out[2] logger.info("Raw logits: {}".format(acc)) y_pred = np.argmax(y_pred, axis=-1) acc = np.argmax(acc, axis=-1) r_acc = np.argmax(r_acc, axis=-1) logger.info("Best task acc score: {}".format(precision_recall_fscore_support(acc, y_test[:,0], average='micro'))) logger.info("Best token acc score: {}".format(precision_recall_fscore_support(y_pred, y_test[:,1:], average='macro'))) pred, truth = [], [] #sys.exit(1) test_pred = y_pred #np.argmax(y_pred, axis=-1) logger.info("Printing prediction data on student model for run {}: {}".format(counter, test_pred)) tp, fn, fp = 0, 0, 0 pred_1, pred_0, truth_1, truth_0 = 0, 0, 0, 0 for i in range(len(test_pred)): temp_p, temp_t, ct = [],[], 0 temp = tokenizer.convert_ids_to_tokens(X_test["input_ids"][i])[1:] #logger.info("Test sample {}".format(temp)) for j in range(0,len(test_pred[0])-1): if test_pred[i][j] == 1: temp_p.append(temp[j]) if y_test[i][j+1] == 1: temp_t.append(temp[j]) pred_1 += test_pred[i].sum() pred_0+= max_seq_length-pred_1 truth_1 += y_test[i].sum() truth_0+= max_seq_length-truth_1 pred.append(' '.join(temp_p)) truth.append(' '.join(temp_t)) for word in temp_p: if word in temp_t: ct+=1 temp_t.remove(word) else: fp+=1 tp +=ct fn += (y_test[i].sum()-ct) p = tp/(tp+fp+0.0000001) r = tp/(tp+fn+0.0000001) logger.info("Token-level: {}".format((tp)/(tp+(0.5*(fp+fn))))) logger.info("Rationale coverage (recall): {}".format(r)) logger.info("Token Precision: {}".format(p)) logger.info("Token overlap: {}".format(tp/(tp+fp+fn))) score1, score2, score3, score4 = 0.0, 0.0, 0.0, 0.0 for i in range(len(pred)): score1 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(1, 0, 0, 0)) score2 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(0, 1, 0, 0)) score3 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(0, 0, 1, 0)) score4 += nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split(), weights=(0, 0, 0, 1)) logger.info("BLEU-1 score of rationales on test set (student model): {} ".format(score1/len(pred))) logger.info("BLEU-2 score of rationales on test set (student model): {} ".format(score2/len(pred))) logger.info("BLEU-3 score of rationales on test set (student model): {} ".format(score3/len(pred))) logger.info("BLEU-4 score of rationales on test set (student model): {} ".format(score4/len(pred))) data = [] for i in range(len(X_test["input_ids"])): text = tokenizer.decode(X_test["input_ids"][i]) temp = dict() temp['text'] = text temp['truth'] = truth[i] temp['pred'] = pred[i] temp['score'] = nltk.translate.bleu_score.sentence_bleu([truth[i].split()],pred[i].split()) data.append(temp) with open(os.path.join(model_dir, 'rationale_output_test_'+type_+'.json'), 'w') as f: json.dump(data, f) logger.info ("Best accuracy (task) across all self-training iterations {}".format(max_best_acc))

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py

Python

Generate_Key.py

ChenhaoJimmyZou/Encryption-For-Any-File

b7bcc8b99162f15f1c42cfec39539c13d7dfcbfc

[ "MIT" ]

1

2019-02-05T00:55:13.000Z

Generate_Key.py

ChenhaoJimmyZou/Encryption-For-Any-File

b7bcc8b99162f15f1c42cfec39539c13d7dfcbfc

[ "MIT" ]

null

Generate_Key.py

ChenhaoJimmyZou/Encryption-For-Any-File

b7bcc8b99162f15f1c42cfec39539c13d7dfcbfc

[ "MIT" ]

null

from Crypto.Hash import SHA256 def getKey(passWord): hash = SHA256.new(passWord.encode('utf-8')) return hash.digest()

21.166667

47

0.708661

18

127

5

0.777778

0

0.065421

0.15748

127

5

48

25.4

0.775701

0

0.03937

0

1

0.25

false

0.5

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

284a831532fb16c77c72bdce0f6d75ecc321df9a

129

py

Python

miniboss/__init__.py

afroisalreadyinu/miniboss

7284a898d1d9c618af0fefc5bab98ad756c8cc3f

[ "MIT" ]

633

2020-07-23T21:27:05.000Z

2022-03-30T21:08:34.000Z

miniboss/__init__.py

afroisalreadyinu/miniboss

7284a898d1d9c618af0fefc5bab98ad756c8cc3f

[ "MIT" ]

7

2020-11-17T14:36:15.000Z

2022-03-30T10:07:25.000Z

miniboss/__init__.py

afroisalreadyinu/miniboss

7284a898d1d9c618af0fefc5bab98ad756c8cc3f

[ "MIT" ]

9

2022-03-03T08:37:33.000Z

2022-03-27T10:23:22.000Z

from .main import cli from .services import Service from .context import Context from .types import set_group_name as group_name

25.8

47

0.829457

21

129

4.952381

0.571429

0.173077

0

0.139535

129

4

48

32.25

0.936937

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

286944eb83f8291d1636b17171206c4cee1f3b47

161

py

Python

app/admin/__init__.py

sunshineinwater/flask-Purchase_and_sale

6fb845da59e4b25737b67d344cbcb4185e93958c

[ "MIT" ]

122

2019-04-09T03:21:31.000Z

2022-03-27T13:56:08.000Z

app/admin/__init__.py

zhuhaiv5/flask-Purchase_and_sale

6fb845da59e4b25737b67d344cbcb4185e93958c

[ "MIT" ]

15

2019-04-25T02:52:48.000Z

2021-12-19T09:35:45.000Z

app/admin/__init__.py

zhuhaiv5/flask-Purchase_and_sale

6fb845da59e4b25737b67d344cbcb4185e93958c

[ "MIT" ]

63

2019-04-08T08:25:48.000Z

2022-03-27T13:56:11.000Z

#-*- coding:utf-8 -*- # author:Agam # datetime:2018-11-05 from flask import Blueprint admin=Blueprint('admin',__name__) import app.admin.views

12.384615

34

0.658385

21

161

4.857143

0.809524

0.27451

0

0.069767

0.198758

161

12

35

13.416667

0.72093

0.322981

0

0.054945

0

1

0

false

0

0.666667

0

0.666667

1

0

null

1

0

null

0

1

0

1

0

5

286df201429ff8d199170cf101fe58d43a694181

89

py

Python

plots/model_explorer/app_hooks.py

ZviBaratz/pylabber

35337284f3d0615249f642743b993b7dad407390

[ "Apache-2.0" ]

3

2020-08-28T21:33:07.000Z

2021-07-19T17:52:17.000Z

plots/model_explorer/app_hooks.py

TheLabbingProject/pylabber

27d6073e7bde871c16912a8ea5e0e389711bbd9f

[ "Apache-2.0" ]

74

2019-09-04T11:40:16.000Z

2022-01-03T19:43:04.000Z

plots/series/series_viewer/app_hooks.py

ZviBaratz/pylabber

35337284f3d0615249f642743b993b7dad407390

[ "Apache-2.0" ]

3

2019-05-07T07:09:05.000Z

2019-08-30T15:40:47.000Z

from .setup import load_django def on_server_loaded(server_context): load_django()

14.833333

37

0.786517

13

89

5

0.769231

0.307692

0

0.146067

89

5

38

17.8

0.855263

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

955f3ff25ffc82f27b6802acf9455a2a07624ed9

45

py

Python

Lib/test/test_compiler/testcorpus/04_assign.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

1,886

2021-05-03T23:58:43.000Z

2022-03-31T19:15:58.000Z

Lib/test/test_compiler/testcorpus/04_assign.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

70

2021-05-04T23:25:35.000Z

2022-03-31T18:42:08.000Z

Lib/test/test_compiler/testcorpus/04_assign.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

52

2021-05-04T21:26:03.000Z

2022-03-08T18:02:56.000Z

a = 1 b = "foo" c = (d, e) di = {f: 1, g: 2}

9

17

0.333333

12

45

1.25

0.916667

0

0.103448

0.355556

45

4

18

11.25

0.413793

0

0.066667

0

1

0

false

0

1

null

0

1

0

1

0

null

0

5

9592aef7c55ffd0676beb11ace497389e4aefc4e

114

py

Python

universalwrapper/__init__.py

Basdbruijne/UniversalWrapper

c910377210eb3adefca46bffa0a2b4f7bf9f831e

[ "MIT" ]

4

2021-11-21T18:16:08.000Z

2022-01-21T19:38:50.000Z

universalwrapper/__init__.py

Basdbruijne/UniversalWrapper

c910377210eb3adefca46bffa0a2b4f7bf9f831e

[ "MIT" ]

null

universalwrapper/__init__.py

Basdbruijne/UniversalWrapper

c910377210eb3adefca46bffa0a2b4f7bf9f831e

[ "MIT" ]

null

import sys import universalwrapper.universal_wrapper as universalwrapper sys.modules[__name__] = universalwrapper

28.5

61

0.877193

12

114

7.916667

0.666667

0

0.078947

114

3

62

38

0.904762

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2517e785e0013d0d462dd517997c1ccce659bf13

747

py

Python

crabageprediction/venv/Lib/site-packages/fontTools/ttLib/tables/_c_i_d_g.py

13rianlucero/CrabAgePrediction

92bc7fbe1040f49e820473e33cc3902a5a7177c7

[ "MIT" ]

2,705

2016-09-27T10:02:12.000Z

2022-03-31T09:37:46.000Z

crabageprediction/venv/Lib/site-packages/fontTools/ttLib/tables/_c_i_d_g.py

13rianlucero/CrabAgePrediction

92bc7fbe1040f49e820473e33cc3902a5a7177c7

[ "MIT" ]

1,599

2016-09-27T09:07:36.000Z

2022-03-31T23:04:51.000Z

crabageprediction/venv/Lib/site-packages/fontTools/ttLib/tables/_c_i_d_g.py

13rianlucero/CrabAgePrediction

92bc7fbe1040f49e820473e33cc3902a5a7177c7

[ "MIT" ]

352

2016-10-07T04:18:15.000Z

2022-03-30T07:35:01.000Z

# coding: utf-8 from .otBase import BaseTTXConverter class table__c_i_d_g(BaseTTXConverter): """The AAT ``cidg`` table has almost the same structure as ``gidc``, just mapping CIDs to GlyphIDs instead of the reverse direction. It is useful for fonts that may be used by a PDF renderer in lieu of a font reference with a known glyph collection but no subsetted glyphs. For instance, a PDF can say “please use a font conforming to Adobe-Japan-1”; the ``cidg`` mapping is necessary if the font is, say, a TrueType font. ``gidc`` is lossy for this purpose and is obsoleted by ``cidg``. For example, the first font in ``/System/Library/Fonts/PingFang.ttc`` (which Apple ships pre-installed on MacOS 10.12.6) has a ``cidg`` table. """ pass

37.35

72

0.738956

128

747

4.273438

0.703125

0.032907

0

0.011327

0.172691

747

19

73

39.315789

0.873786

0.864793

0

1

0

true

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

251a99fcffb12dfb16f9c045fd9e8a3355b541c6

32

py

Python

python_meteorologist/forecast/__init__.py

AlertingAvian/python-meteorologist

904089f4062e875148cbe5abc8fe4f7ff1d6a524

[ "MIT" ]

null

python_meteorologist/forecast/__init__.py

AlertingAvian/python-meteorologist

904089f4062e875148cbe5abc8fe4f7ff1d6a524

[ "MIT" ]

null

python_meteorologist/forecast/__init__.py

AlertingAvian/python-meteorologist

904089f4062e875148cbe5abc8fe4f7ff1d6a524

[ "MIT" ]

null

from .forecast import Forecaster

32

0.875

4

32

7

1

0

0.09375

32

1

32

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

256b888419b6e4a2d2951b298905cbb524a6dbcc

14

py

Python

yesno.py

wdymm/pymysql

02cefd05070a7e72010cf4892116b24015ac6214

[ "MIT" ]

null

yesno.py

wdymm/pymysql

02cefd05070a7e72010cf4892116b24015ac6214

[ "MIT" ]

null

yesno.py

wdymm/pymysql

02cefd05070a7e72010cf4892116b24015ac6214

[ "MIT" ]

null

print('yesno')

14

0.714286

2

14

5

1

0

14

1

14

0.714286

0

0.333333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c24f3673894f6aa9153feff785cc3831e03b4f1e

168

py

Python

users/urls.py

LeonardoCruzx/Projeto_rede_social

5f6fc9fe4d1fbc1cfea696a4ff1d19fd98697bc0

[ "CC0-1.0" ]

null

users/urls.py

LeonardoCruzx/Projeto_rede_social

5f6fc9fe4d1fbc1cfea696a4ff1d19fd98697bc0

[ "CC0-1.0" ]

7

2020-06-05T20:31:01.000Z

2021-09-22T18:22:45.000Z

users/urls.py

LeonardoCruzx/Projeto_rede_social

5f6fc9fe4d1fbc1cfea696a4ff1d19fd98697bc0

[ "CC0-1.0" ]

null

from django.urls import path from .views import * app_name = 'users' urlpatterns = [ path('pagina-inicial',pagina_inicial_usuario,name='pagina-inicial-usuario') ]

21

79

0.75

22

168

5.590909

0.590909

0.317073

0.325203

0

0.125

168

8

80

21

0.836735

0

0.242604

0.130178

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

c25095ea92087e77b0d495d56c81b4155c8a433e

66

py

Python

CodingBat/Warmup-1/makes10.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

CodingBat/Warmup-1/makes10.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

CodingBat/Warmup-1/makes10.py

arthxvr/coding--python

1e91707be6cb8fef816dad0c1a65f2cc3327357e

[ "MIT" ]

null

def makes10(a, b): return (a == 10 or b == 10 or a + b == 10)

22

46

0.484848

14

66

2.285714

0.5

0.125

0

0.177778

0.318182

66

2

47

33

0.533333

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c25ed373eb62ca3f1dfd13461c8bf699262611bf

165

py

Python

generate_secretkey.py

Saknowman/django_setting_sample_project

3f11103a57628190ed4ab480cba39d4474847040

[ "MIT" ]

null

generate_secretkey.py

Saknowman/django_setting_sample_project

3f11103a57628190ed4ab480cba39d4474847040

[ "MIT" ]

7

2020-06-06T00:28:14.000Z

2022-02-10T11:03:44.000Z

generate_secretkey.py

Saknowman/django_setting_sample_project

3f11103a57628190ed4ab480cba39d4474847040

[ "MIT" ]

null

from django.core.management.utils import get_random_secret_key secret_key = get_random_secret_key() text = 'SECRET_KEY = \'{0}\''.format(secret_key) print(text)

33

63

0.769697

25

165

4.72

0.56

0.381356

0.254237

0.305085

0

0.006757

0.10303

165

5

64

33

0.790541

0

0.08642

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

5

c2701ec268373038ac918593263fde9296fc7381

30

py

Python

__init__.py

rowanc1/Seismogram

4c68e1d3f20cb5f45e6ed64e42af150efea4a181

[ "MIT" ]

3

2019-10-14T12:36:19.000Z

2022-03-20T04:53:09.000Z

__init__.py

rowanc1/Seismogram

4c68e1d3f20cb5f45e6ed64e42af150efea4a181

[ "MIT" ]

null

__init__.py

rowanc1/Seismogram

4c68e1d3f20cb5f45e6ed64e42af150efea4a181

[ "MIT" ]

4

2015-07-26T17:19:14.000Z

2022-01-04T22:08:45.000Z

import Layers import Wavelets

10

15

0.866667

4

30

6.5

0.75

0

0.133333

30

2

16

15

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c27de3a5621d8d42972e9487683ee8274232c541

49

py

Python

dephell/__main__.py

OliverHofkens/dephell

6303f416018910668f1635b70cd828a2fd2b2d9e

[ "MIT" ]

1,880

2019-03-21T10:08:25.000Z

2022-03-31T12:41:55.000Z

dephell/__main__.py

rachmadaniHaryono/dephell

0ef500c8f2d5f05244bac191b1b1383f68464cd2

[ "MIT" ]

356

2019-03-21T19:08:56.000Z

2021-01-08T17:45:43.000Z

dephell/__main__.py

rachmadaniHaryono/dephell

0ef500c8f2d5f05244bac191b1b1383f68464cd2

[ "MIT" ]

157

2019-04-23T01:13:37.000Z

2022-03-24T22:41:18.000Z

# app from .cli import entrypoint entrypoint()

8.166667

27

0.734694

6

49

6

0.833333

0

0.183673

49

5

28

9.8

0.9

0.061224

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6c1e5496d4122ac7bea8b3c30b72333302a8dd0a

67

py

Python

src/xbrief/margin/matrix_margin/__init__.py

pydget/xbrief

9e91927a98754b0fca1fa55eae9a785b15e963f9

[ "MIT" ]

null

src/xbrief/margin/matrix_margin/__init__.py

pydget/xbrief

9e91927a98754b0fca1fa55eae9a785b15e963f9

[ "MIT" ]

null

src/xbrief/margin/matrix_margin/__init__.py

pydget/xbrief

9e91927a98754b0fca1fa55eae9a785b15e963f9

[ "MIT" ]

null

from .matrix_margin import MatrixMargin from .sizing import sizing

22.333333

39

0.850746

9

67

6.222222

0.666667

0

0.119403

67

2

40

33.5

0.949153

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6c253e039973a0b6c5003eeb5416d3267eaf47a6

70

py

Python

functions/Melody.py

Skentir/CSC617M

8fe21fa449d51571f3368fd8323b04e7c782aebc

[ "MIT" ]

null

functions/Melody.py

Skentir/CSC617M

8fe21fa449d51571f3368fd8323b04e7c782aebc

[ "MIT" ]

null

functions/Melody.py

Skentir/CSC617M

8fe21fa449d51571f3368fd8323b04e7c782aebc

[ "MIT" ]

null

class Melody(): def __init__(self, notes): self.notes = []

23.333333

30

0.571429

8

70

4.5

0.75

0.5

0

0.271429

70

3

31

23.333333

0.705882

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

6c783caed3bed76188c4a9f67b8c3ed37bb4c856

117

py

Python

green/__init__.py

dtan3847/green

b021810ba2484b2c280e972af19a6ba8c4764dc4

[ "MIT" ]

null

green/__init__.py

dtan3847/green

b021810ba2484b2c280e972af19a6ba8c4764dc4

[ "MIT" ]

null

green/__init__.py

dtan3847/green

b021810ba2484b2c280e972af19a6ba8c4764dc4

[ "MIT" ]

null

from __future__ import unicode_literals from .cmdline import main from .version import __version__ main __version__

16.714286

39

0.854701

15

117

5.8

0.533333

0

0.128205

117

6

40

19.5

0.852941

0

1

0

true

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

66a69b439c8c7c9dc1480c0b52f680de3d092b4a

167

py

Python

nextcode/services/phenotype/__init__.py

Haffi/nextcode-python-sdk

b70baa848cb6326fb0e7ee0e4167c41dcc45e085

[ "MIT" ]

7

2019-10-23T17:22:50.000Z

2021-04-17T21:44:28.000Z

nextcode/services/phenotype/__init__.py

Haffi/nextcode-python-sdk

b70baa848cb6326fb0e7ee0e4167c41dcc45e085

[ "MIT" ]

8

2019-11-07T16:41:01.000Z

2021-09-13T14:33:28.000Z

nextcode/services/phenotype/__init__.py

Haffi/nextcode-python-sdk

b70baa848cb6326fb0e7ee0e4167c41dcc45e085

[ "MIT" ]

4

2019-11-08T13:59:55.000Z

2021-11-07T13:49:21.000Z

""" Service class ------------------ Service object for interfacing with the Phenotype Archive API """ from .phenotype import Phenotype from .service import Service

16.7

61

0.700599

19

167

6.157895

0.631579

0

0.143713

167

9

62

18.555556

0.818182

0.562874

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

66e6890d586dbb985b05c7f3916d0cd48bc524b2

159

py

Python

build/lib.macosx-10.9-x86_64-3.9/gators/encoders/tests/test_base_encoder.py

Aditya-Kapadiya/gators

d7c9967e3a8e304a601b6a92ad834d03d3e36338

[ "Apache-2.0" ]

4

2021-10-29T18:20:52.000Z

2022-03-31T22:53:03.000Z

build/lib.macosx-10.9-x86_64-3.9/gators/encoders/tests/test_base_encoder.py

Aditya-Kapadiya/gators

d7c9967e3a8e304a601b6a92ad834d03d3e36338

[ "Apache-2.0" ]

1

2022-01-19T12:16:19.000Z

build/lib.macosx-10.9-x86_64-3.9/gators/encoders/tests/test_base_encoder.py

Aditya-Kapadiya/gators

d7c9967e3a8e304a601b6a92ad834d03d3e36338

[ "Apache-2.0" ]

5

2021-11-17T20:16:54.000Z

2022-02-21T18:21:02.000Z

# License: Apache-2.0 from gators.encoders import WOEEncoder import pytest def test_init(): with pytest.raises(TypeError): WOEEncoder(dtype=str)

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dd17d66bd12b06082736bf5ca13108c38907863e

459

py

Python

message_type.py

VladislavKorecky/pylogs

796336a3ce6056f06dcfd578779daaed0e88711a

[ "MIT" ]

null

message_type.py

VladislavKorecky/pylogs

796336a3ce6056f06dcfd578779daaed0e88711a

[ "MIT" ]

null

message_type.py

VladislavKorecky/pylogs

796336a3ce6056f06dcfd578779daaed0e88711a

[ "MIT" ]

null

from abc import ABC class MessageType(ABC): """ Interface for message types. """ def get_name(self): """ Return the name of the message type. Returns: str: The name of the message type. """ pass def get_color_code(self): """ Return the color code of the message type. Returns: str: The color code of the message type. """ pass

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1

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5

dd598c679fced89abfde6e7b7f988312d99cd6e5

34

py

Python

mlmo/interfaces/base_i_prod.py

prashantlv/mltoolkit

acc192bafc66b7661d541ef4f604b5e5ab7df5ca

[ "MIT" ]

1

2020-10-03T05:23:31.000Z

mlmo/interfaces/base_i_prod.py

prashantlv/mltoolkit

acc192bafc66b7661d541ef4f604b5e5ab7df5ca

[ "MIT" ]

null

mlmo/interfaces/base_i_prod.py

prashantlv/mltoolkit

acc192bafc66b7661d541ef4f604b5e5ab7df5ca

[ "MIT" ]

null

class BaseIProd(object): pass

11.333333

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null

0

1

0

null

0

1

0

5

dd7cba20ae2ab0c3ec5cd45eb59d263718632848

61

py

Python

pcep/prac_2.py

gliverm/devnet-study-group

28aecef8207cfeb8f10dc375c22e5ec953d6762b

[ "MIT" ]

1

2020-07-30T15:23:55.000Z

pcep/prac_2.py

gliverm/devnet-study-group

28aecef8207cfeb8f10dc375c22e5ec953d6762b

[ "MIT" ]

null

pcep/prac_2.py

gliverm/devnet-study-group

28aecef8207cfeb8f10dc375c22e5ec953d6762b

[ "MIT" ]

null

def fun(inp=2, out=3): return inp * out print(fun(out=2))

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61

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0.333333

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null

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1

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null

0

1

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1

0

5

b096d2539ed93e5bae93fa3ce74409e915eccc76

57

py

Python

dcbase/tests/unit/__init__.py

tctimmeh/dc-django-base

08e444387c7ce4896343ac7e61444bbd7f98b4a6

[ "MIT" ]

null

dcbase/tests/unit/__init__.py

tctimmeh/dc-django-base

08e444387c7ce4896343ac7e61444bbd7f98b4a6

[ "MIT" ]

13

2015-02-16T17:13:34.000Z

2015-03-07T04:59:28.000Z

dcbase/tests/unit/__init__.py

tctimmeh/dc-django-base

08e444387c7ce4896343ac7e61444bbd7f98b4a6

[ "MIT" ]

null

from dcbase.tests.unit.unitTestCase import UnitTestCase

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5

b0b3f400ae86e8ffe2156c92a4d7974acfd1b347

219

py

Python

Day 24/Core Team/python.py

ChetasShree/MarchCode

80ee6206c0e4481b4421a83c7b7b7fc977450009

[ "MIT" ]

9

2021-03-02T12:16:24.000Z

2021-03-26T11:06:08.000Z

Day 24/Core Team/python.py

ChetasShree/MarchCode

80ee6206c0e4481b4421a83c7b7b7fc977450009

[ "MIT" ]

65

2021-03-02T04:57:47.000Z

2021-04-02T19:31:30.000Z

Day 24/Core Team/python.py

ChetasShree/MarchCode

80ee6206c0e4481b4421a83c7b7b7fc977450009

[ "MIT" ]

94

2021-03-02T04:42:28.000Z

2021-06-28T10:38:20.000Z

arr = [ 5,3,5,2,41,4,3,1,4,4 ] for i in range(10): if (arr[i]!= -1): for j in range (i+1, 10): if (arr[i] == arr[j]): arr[j] = -1 print(arr[i], end = ' ')

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null

0

5

b0b6e14627d6bea77880c44621f700bee6ffc1c7

11,258

py

Python

authors/apps/articles/tests/test_highlight_text.py

andela/ah-django-unchained

a4e5f6cd11fdc0b9422020693ac1200b849cf0f3

[ "BSD-3-Clause" ]

null

authors/apps/articles/tests/test_highlight_text.py

andela/ah-django-unchained

a4e5f6cd11fdc0b9422020693ac1200b849cf0f3

[ "BSD-3-Clause" ]

26

2019-01-07T14:22:05.000Z

2019-02-28T17:11:48.000Z

authors/apps/articles/tests/test_highlight_text.py

andela/ah-django-unchained

a4e5f6cd11fdc0b9422020693ac1200b849cf0f3

[ "BSD-3-Clause" ]

3

2019-09-19T22:16:09.000Z

2019-10-16T21:16:16.000Z

import json from django.urls import reverse from rest_framework.views import status from rest_framework.test import APITestCase, APIClient class CommentsTestCase(APITestCase): def setUp(self): self.client = APIClient() self.signup_url = reverse('authentication:auth-register') self.create_article_url = reverse('articles:articles-listcreate') self.user_two_details = { "user": { "username": "andela", "email": "andela@andela.com", "password": "Password@123" }} self.create_article_data = { "title": "Programming Languages", "body": "There are variety of programming languagr", "description": "Programming", "tagList": ["Programming", "language", "python"] } self.highlighted_text = { "comment": { "body": "Good work here!!", "start_highlight_position": 2, "end_highlight_position": 15 }} self.selection_start_index_larger_than_end_index = { "comment": { "body": "Good work here!!", "start_highlight_position": 28, "end_highlight_position": 15 }} self.invalid_index_datatype = { "comment": { "body": "Good work here!!", "start_highlight_position": "one", "end_highlight_position": 15 }} self.missing_field = { "comment": { "body": "Good work here!!", "end_highlight_position": 15 }} self.update_comment = { "comment": { "body": "Nice Idea" }} def register_user(self, user_details): """Sign up a new user to get a token""" register = self.client.post(self.signup_url, user_details, format='json') token = register.data["token"] return token def create_article(self, token): """Create an article.""" response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] return slug def test_comment_highlighted_text(self): """Test comment highlighted text.""" token = self.register_user(self.user_two_details) slug = self.create_article(token) response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.highlighted_text, HTTP_AUTHORIZATION='token {}'.format(token), format='json') self.assertIn('selected_text', response.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_rejects_start_index_larger_than_end_index(self): """Test rejects start index larger than end index.""" token = self.register_user(self.user_two_details) slug = self.create_article(token) response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.selection_start_index_larger_than_end_index, HTTP_AUTHORIZATION='token {}'.format(token), format='json') self.assertEqual(response.data['error'], 'The start_index_position should not ' 'be greater or equal end_index_position') self.assertEqual(response.status_code, status.HTTP_200_OK) def test_rejects_invalid_types_for_highlight_index(self): """Test rejects index data type that are not integers.""" token = self.register_user(self.user_two_details) slug = self.create_article(token) response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.invalid_index_datatype, HTTP_AUTHORIZATION='token {}'.format(token), format='json') self.assertEqual(response.data['error'], 'Start of highlight and end of highlight' ' indices should be both integers') self.assertEqual(response.status_code, status.HTTP_422_UNPROCESSABLE_ENTITY) def test_rejects_missing_required_field(self): """Test for missing field.""" token = self.register_user(self.user_two_details) slug = self.create_article(token) response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.missing_field, HTTP_AUTHORIZATION='token {}'.format(token), format='json') self.assertEqual(response.data['error'], 'start_highlight_position is required') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_get_all_comments(self): """Test get all comments.""" token = self.register_user(self.user_two_details) # create an article response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] # highlight a text and comment it self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.highlighted_text, HTTP_AUTHORIZATION='token {}'.format(token), format='json') # get all comments response = self.client.get( reverse('articles:high_light', kwargs={'slug': slug}), format='json') response_data = json.loads(json.dumps(response.data)) self.assertIn('selected_text', response_data[0]) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_get_single_comments(self): """Test get single comments.""" token = self.register_user(self.user_two_details) # create an article response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] # highlight a text and comment it response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.highlighted_text, HTTP_AUTHORIZATION='token {}'.format(token), format='json') # get single comment article_id = response.data['id'] response = self.client.get( '/api/articles/{}/highlight/{}'.format(slug, article_id), format='json') response_data = json.loads(json.dumps(response.data)) self.assertIn('selected_text', response_data) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_delete_single_comments(self): """Test delete single comments.""" token = self.register_user(self.user_two_details) # create an article response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] # highlight a text and comment it response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.highlighted_text, HTTP_AUTHORIZATION='token {}'.format(token), format='json') # delete single comment article_id = response.data['id'] response = self.client.delete( '/api/articles/{}/highlight/{}'.format(slug, article_id), HTTP_AUTHORIZATION='token {}'.format(token), format='json') response_data = json.loads(json.dumps(response.data)) self.assertEqual(response.data['message'], 'Comment on highlighted text deleted successfully') self.assertEqual(response.status_code, status.HTTP_200_OK) def test_update_single_comments(self): """Test update single comment.""" token = self.register_user(self.user_two_details) # create an article response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] # highlight a text and comment on it response = self.client.post( reverse('articles:high_light', kwargs={'slug': slug}), self.highlighted_text, HTTP_AUTHORIZATION='token {}'.format(token), format='json') article_id = response.data['id'] # update the comment response = self.client.put( '/api/articles/{}/highlight/{}'.format(slug, article_id), self.update_comment, HTTP_AUTHORIZATION='token {}'.format(token), format='json') response_data = json.loads(json.dumps(response.data)) self.assertIn('selected_text', response_data) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_update_unexisting_comments(self): """Test update unexisting comment.""" token = self.register_user(self.user_two_details) # create an article response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] # update the comment response = self.client.put( '/api/articles/{}/highlight/{}'.format(slug, 2), self.update_comment, HTTP_AUTHORIZATION='token {}'.format(token), format='json') response_data = json.loads(json.dumps(response.data)) self.assertEqual(response.data['error'], 'The comment does not exist') self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) def test_get_delete_unexisting_comments(self): """Delete unexisting comment""" token = self.register_user(self.user_two_details) # create an article response = self.client.post( self.create_article_url, self.create_article_data, format='json', HTTP_AUTHORIZATION='token {}'.format(token)) slug = response.data['slug'] # update the comment response = self.client.delete( '/api/articles/{}/highlight/{}'.format(slug, 2), self.update_comment, HTTP_AUTHORIZATION='token {}'.format(token), format='json') response_data = json.loads(json.dumps(response.data)) self.assertEqual(response.data["error"], "The comment does not exist") self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)

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b0beecd27f3b1cfd40337e7b10668aadc2e4ef93

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py

Python

app/controllers/__init__.py

jattoabdul/vanhack-cms

ab2cb054e35765531833afd98051027d891baf10

[ "MIT" ]

15

2018-11-06T03:01:55.000Z

2020-10-17T04:24:54.000Z

app/controllers/__init__.py

jattoabdul/vanhack-cms

ab2cb054e35765531833afd98051027d891baf10

[ "MIT" ]

2

2019-05-21T08:44:29.000Z

2021-04-30T20:46:08.000Z

app/controllers/__init__.py

Maxcutex/web_scraping

3e14398285b6eeb72163683ef4a52caaa1cdf327

[ "MIT" ]

1

2018-11-06T10:48:49.000Z

'''The controllers package''' from .base_controller import BaseController

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py

Python

usl_score/models/__init__.py

vitouphy/usl_dialogue_metric

98b23f9727ad828bd1eda3141effeec47ea56cec

[ "MIT" ]

5

2020-11-11T02:33:20.000Z

2021-12-22T02:56:28.000Z

usl_score/models/__init__.py

vitouphy/usl_dialogue_metric

98b23f9727ad828bd1eda3141effeec47ea56cec

[ "MIT" ]

1

2021-08-24T13:18:16.000Z

2021-11-14T11:59:12.000Z

usl_score/models/__init__.py

vitouphy/usl_dialogue_metric

98b23f9727ad828bd1eda3141effeec47ea56cec

[ "MIT" ]

null

name="models" from .VUPScorer import * from .NUPScorer import * from .MLMScorer import * from .distinct import * from .composite import *

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b0e64d619d39c2425211a034a22937f028a50ba8

231

py

Python

Source/Chapter5/Linear.py

irmoralesb/MLForDevsBook

4e990d720ef5888525d09d2e27e37a4db21a75db

[ "Unlicense" ]

null

Source/Chapter5/Linear.py

irmoralesb/MLForDevsBook

4e990d720ef5888525d09d2e27e37a4db21a75db

[ "Unlicense" ]

null

Source/Chapter5/Linear.py

irmoralesb/MLForDevsBook

4e990d720ef5888525d09d2e27e37a4db21a75db

[ "Unlicense" ]

null

from Chapter5.TransferFunction import TransferFunction import numpy as np class Linear(TransferFunction): def getTransferFunction(x): return x def getTransferFunctionDerivative(x): return np.ones(len(x))

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1

0

5

b003dfc344efcd0f95aabe690fd4038de044bb89

317

py

Python

generic_iterative_stemmer/training/stemming/__init__.py

asaf-kali/generic-iterative-stemmer

2d2e031ecab71cf04e6756e8062cb1c72feb6d14

[ "MIT" ]

null

generic_iterative_stemmer/training/stemming/__init__.py

asaf-kali/generic-iterative-stemmer

2d2e031ecab71cf04e6756e8062cb1c72feb6d14

[ "MIT" ]

13

2021-12-22T06:56:30.000Z

2022-01-30T20:39:40.000Z

generic_iterative_stemmer/training/stemming/__init__.py

asaf-kali/generic-iterative-stemmer

2d2e031ecab71cf04e6756e8062cb1c72feb6d14

[ "MIT" ]

null

from .stem_generator import StemDict, StemGenerator, reduce_stem_dict # noqa from .stemming_trainer import StemmingTrainer, get_stats_path # noqa from .corpus_stemmer import * # noqa from .ft_stemming_trainer import FastTextStemmingTrainer # noqa from .w2v_stemming_trainer import Word2VecStemmingTrainer # noqa

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0

1

0

5

b00ab3e4b382e166b16fab341e3c2642352dff1d

61

py

Python

aas_core_codegen/csharp/__init__.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

5

2021-12-29T12:55:34.000Z

2022-03-01T17:57:21.000Z

aas_core_codegen/csharp/__init__.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

10

2021-12-29T02:15:55.000Z

2022-03-09T11:04:22.000Z

aas_core_codegen/csharp/__init__.py

aas-core-works/aas-core-csharp-codegen

731f706e2d12bf80722ac55d920fcf5402fb26ef

[ "MIT" ]

2

2021-12-29T01:42:12.000Z

2022-02-15T13:46:33.000Z

"""Generate C# code based on the intermediate meta-model."""

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null

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b059c4dc0ef23cd58450a140ceebca8290b19a23

90

py

Python

application/pages/dialog_template/__init__.py

slamer59/awesome-panel

91c30bd6d6859eadf9c65b1e143952f7e64d5290

[ "Apache-2.0" ]

null

application/pages/dialog_template/__init__.py

slamer59/awesome-panel

91c30bd6d6859eadf9c65b1e143952f7e64d5290

[ "Apache-2.0" ]

null

application/pages/dialog_template/__init__.py

slamer59/awesome-panel

91c30bd6d6859eadf9c65b1e143952f7e64d5290

[ "Apache-2.0" ]

null

"""Provides a servable view of a Panel application with a dialog""" from .app import view

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