xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

e4d00d5ab2c2bb9e0028ead41569560a75c52b53

273

py

Python

6gil_cpython_zlib/example.py

drodri/python-cpp-accu2016

26d7940f7b322f7e4817ccb5d918cba605165540

[ "MIT" ]

5

2016-07-14T12:42:25.000Z

2021-02-08T21:48:27.000Z

6gil_cpython_zlib/example.py

drodri/python-cpp-accu2016

26d7940f7b322f7e4817ccb5d918cba605165540

[ "MIT" ]

null

6gil_cpython_zlib/example.py

drodri/python-cpp-accu2016

26d7940f7b322f7e4817ccb5d918cba605165540

[ "MIT" ]

1

2016-10-02T17:23:54.000Z

import mymath if __name__ == '__main__': input = "Hello world, hello world" * 100000 ct_archive = mymath.deflate(input) print "Compression ", len(input), "=>", len(ct_archive) ct_orig = mymath.inflate(ct_archive) assert ct_orig == input print "OK "

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null

0

1

0

2

e4f2cd7f115df7152591148e007266ce068c0880

993

py

Python

open_sea_v1/endpoints/abc.py

MyNameIsBondJamesBond/opensea-python-wrapper

a9d1cf492f5e4a278de88cfcce7b02f0a049eb4c

[ "MIT" ]

14

2021-08-01T10:17:00.000Z

2022-03-07T21:19:50.000Z

open_sea_v1/endpoints/abc.py

MyNameIsBondJamesBond/opensea-python-wrapper

a9d1cf492f5e4a278de88cfcce7b02f0a049eb4c

[ "MIT" ]

1

2021-11-18T12:16:13.000Z

2021-11-20T22:40:12.000Z

open_sea_v1/endpoints/abc.py

MyNameIsBondJamesBond/opensea-python-wrapper

a9d1cf492f5e4a278de88cfcce7b02f0a049eb4c

[ "MIT" ]

3

2021-09-04T16:10:37.000Z

2021-10-20T17:56:32.000Z

from abc import ABC, abstractmethod from typing import Generator, Type from open_sea_v1.endpoints.client import ClientParams from open_sea_v1.responses.abc import BaseResponse class BaseEndpoint(ABC): @property @abstractmethod def __post_init__(self): """Using post_init to run param validation""" @property @abstractmethod def client_params(self) -> ClientParams: """Instance of common OpenSea Endpoint parameters.""" @property @abstractmethod def _response_type(self) -> Type[BaseResponse]: """""" @property @abstractmethod def url(self) -> str: """Endpoint URL""" @abstractmethod def _parse_json(self) -> Generator[list[list[BaseResponse]], None, None]: """Returns all pages for the query.""" @property @abstractmethod def get_params(self) -> str: """Endpoint URL""" @property @abstractmethod def _validate_request_params(self) -> None: """"""

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null

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e4f498f1d36b78937eb01dc7896c4b554f71ac90

8,365

py

Python

ARMODServers/Apps/ARExperiences/migrations/0012_auto_20220321_1648.py

Phantomxm2021/ARMOD-Dashboard

383cf0a5e72dc5a2651f43e693f06773d5b88bbd

[ "Apache-2.0" ]

1

2021-11-04T09:03:27.000Z

ARMODServers/Apps/ARExperiences/migrations/0012_auto_20220321_1648.py

Phantomxm2021/ARMOD-Dashboard

383cf0a5e72dc5a2651f43e693f06773d5b88bbd

[ "Apache-2.0" ]

null

ARMODServers/Apps/ARExperiences/migrations/0012_auto_20220321_1648.py

Phantomxm2021/ARMOD-Dashboard

383cf0a5e72dc5a2651f43e693f06773d5b88bbd

[ "Apache-2.0" ]

null

# Generated by Django 3.2 on 2022-03-21 08:48 import Apps.ARExperiences.models from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('ARExperiences', '0011_auto_20210419_0224'), ] operations = [ migrations.CreateModel( name='ARExperienceModelV2', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('create_time', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Create Time')), ('update_time', models.DateTimeField(auto_now=True, null=True, verbose_name='Update Time')), ('is_delete', models.BooleanField(default=False, verbose_name='Delete Flag')), ('app_uid', models.BigIntegerField(db_index=True, default=-1, verbose_name='AR Experience Id')), ('user_uid', models.BigIntegerField(db_index=True, default=-1, verbose_name='User uid')), ('project_id', models.BigIntegerField(db_index=True, default=-1, unique=True, verbose_name='Showcase uid')), ('project_name', models.CharField(db_index=True, default='', max_length=16, unique=True, verbose_name='Showcase name')), ('project_brief', models.CharField(default='', max_length=64, verbose_name='Showcase brief')), ('project_status', models.IntegerField(db_index=True, default=0, verbose_name='Showcase status')), ('project_permission', models.IntegerField(db_index=True, default=1, verbose_name='Showcase permission')), ('project_icon', models.CharField(default='', max_length=512, verbose_name='Showcase icon')), ('project_header', models.CharField(default='', max_length=512, verbose_name='Showcase header')), ('project_preview', models.CharField(default='', max_length=1024, verbose_name='Showcase previews(json)')), ('project_description', models.CharField(blank=True, default='', max_length=1024, verbose_name='Showcase description')), ('project_recommend', models.BooleanField(db_index=True, default=False, verbose_name='Showcase recommend')), ('project_tags', models.JSONField(default=Apps.ARExperiences.models.getJSONFieldDefault, verbose_name='Showcase not index tags')), ('project_weight', models.IntegerField(db_index=True, default=0, verbose_name='Showcase Weight')), ], options={ 'verbose_name': 'ARExperiences_V2', 'verbose_name_plural': 'ARExperiences_V2', 'db_table': 'armod_arexperiences_v2', }, ), migrations.CreateModel( name='ARExperienceResourceV2', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('create_time', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Create Time')), ('update_time', models.DateTimeField(auto_now=True, null=True, verbose_name='Update Time')), ('is_delete', models.BooleanField(default=False, verbose_name='Delete Flag')), ('project_id', models.BigIntegerField(db_index=True, null=True, verbose_name='AR Experience Id')), ('json_url', models.CharField(max_length=128, verbose_name='android json')), ('bundle_url', models.CharField(max_length=128, verbose_name='android bundle')), ('bundle_size', models.FloatField(default=-1, verbose_name='android bundle size')), ('platform_type', models.CharField(max_length=16, verbose_name='Platform')), ], options={ 'verbose_name': 'ARExperienceAssets_V2', 'verbose_name_plural': 'ARExperienceAssets_V2', 'db_table': 'armod_arexperience_assets_v2', }, ), migrations.CreateModel( name='Statistics', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('pv', models.IntegerField(default=0, verbose_name='UV')), ('uv', models.IntegerField(default=0, verbose_name='PV')), ('date', models.CharField(max_length=200)), ('project_id', models.BigIntegerField(db_index=True, null=True, verbose_name='AR Experience Id')), ], ), migrations.AlterField( model_name='arexperienceasset', name='android_bundle', field=models.CharField(max_length=128, verbose_name='Android Bundle'), ), migrations.AlterField( model_name='arexperienceasset', name='android_bundle_size', field=models.FloatField(default=-1, verbose_name='Android Bundle Size'), ), migrations.AlterField( model_name='arexperienceasset', name='android_json', field=models.CharField(max_length=128, verbose_name='Android Json'), ), migrations.AlterField( model_name='arexperienceasset', name='arexperience_uid', field=models.BigIntegerField(db_index=True, default=-1, verbose_name='AR Experience Id'), ), migrations.AlterField( model_name='arexperienceasset', name='create_time', field=models.DateTimeField(auto_now_add=True, null=True, verbose_name='Create Time'), ), migrations.AlterField( model_name='arexperienceasset', name='ios_bundle', field=models.CharField(max_length=128, verbose_name='iOS Bundle'), ), migrations.AlterField( model_name='arexperienceasset', name='ios_bundle_size', field=models.FloatField(default=-1, verbose_name='iOS Bundle Size'), ), migrations.AlterField( model_name='arexperienceasset', name='ios_json', field=models.CharField(max_length=128, verbose_name='iOS Json'), ), migrations.AlterField( model_name='arexperienceasset', name='is_delete', field=models.BooleanField(default=False, verbose_name='Delete Flag'), ), migrations.AlterField( model_name='arexperienceasset', name='update_time', field=models.DateTimeField(auto_now=True, null=True, verbose_name='Update Time'), ), migrations.AlterField( model_name='arexperiencemodel', name='app_uid', field=models.BigIntegerField(db_index=True, default=-1, verbose_name='App Id'), ), migrations.AlterField( model_name='arexperiencemodel', name='arexperience_uid', field=models.BigIntegerField(db_index=True, default=-1, primary_key=True, serialize=False, verbose_name='AR Experience Id'), ), migrations.AlterField( model_name='arexperiencemodel', name='create_time', field=models.DateTimeField(auto_now_add=True, null=True, verbose_name='Create Time'), ), migrations.AlterField( model_name='arexperiencemodel', name='description', field=models.CharField(default='', max_length=128, verbose_name='AR Experience Descriptor'), ), migrations.AlterField( model_name='arexperiencemodel', name='is_delete', field=models.BooleanField(default=False, verbose_name='Delete Flag'), ), migrations.AlterField( model_name='arexperiencemodel', name='name', field=models.CharField(db_index=True, max_length=64, unique=True, verbose_name='AR Experience Name'), ), migrations.AlterField( model_name='arexperiencemodel', name='status', field=models.IntegerField(db_index=True, default=1, verbose_name='AR Experience Project Status'), ), migrations.AlterField( model_name='arexperiencemodel', name='update_time', field=models.DateTimeField(auto_now=True, null=True, verbose_name='Update Time'), ), ]

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null

0

1

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1

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null

0

2

e4f6a046893b1c77aa152dee7087ba59a813bb9f

1,741

py

Python

deprecated/project/ProjectResults.py

Prodigysov/seutil

988f33f707e43ddf38b0d4bb8805e48dad3a0517

[ "Apache-2.0" ]

2

2019-07-30T20:33:37.000Z

2020-01-06T17:20:16.000Z

deprecated/project/ProjectResults.py

Prodigysov/seutil

988f33f707e43ddf38b0d4bb8805e48dad3a0517

[ "Apache-2.0" ]

null

deprecated/project/ProjectResults.py

Prodigysov/seutil

988f33f707e43ddf38b0d4bb8805e48dad3a0517

[ "Apache-2.0" ]

null

from pathlib import Path from typing import * from .. import io, Stream class ProjectResults: def __init__(self): self.full_name: str = "UNKNOWN" self.results_dir: Path = None return @classmethod def from_base_results_dir(cls, base_results_dir: Path) -> List["ProjectResults"]: full_names = Stream.of_dirs(base_results_dir) return [cls.get_project_results(n, base_results_dir / n) for n in full_names] @classmethod def get_project_results(cls, full_name: str, results_dir: Path) -> "ProjectResults": results = cls() results.full_name = full_name results.results_dir = results_dir return results @property def meta_dir(self) -> Path: meta_dir: Path = self.results_dir / "META" meta_dir.mkdir(parents=True, exist_ok=True) return meta_dir def load_meta_result(self, file_name: str, *args, **kwargs) -> Any: return io.load(self.meta_dir / file_name, *args, **kwargs) def dump_meta_result(self, file_name: str, data: Any, *args, **kwargs) -> None: io.dump(self.meta_dir / file_name, data, *args, **kwargs) def get_revision_dir(self, revision: str) -> Path: revision_dir = self.results_dir / revision revision_dir.mkdir(parents=True, exist_ok=True) return revision_dir def load_revision_result( self, revision: str, file_name: str, *args, **kwargs ) -> Any: return io.load(self.get_revision_dir(revision) / file_name, *args, **kwargs) def dump_revision_result( self, revision: str, file_name: str, data: Any, *args, **kwargs ) -> None: io.dump(self.get_revision_dir(revision) / file_name, data, *args, **kwargs)

34.137255

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4.621277

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0.270718

0.151013

0

0.228604

1,741

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0.808637

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0

null

0

null

0

1

0

1

0

2

e4f869826579353b9c49dd447ddd70dc6ef3ed5b

188

py

Python

numpy/pythoncode.py

ikelee22/pythonlib

cbf0faf548dfc35d799898178bf7e8c3461e5776

[ "MIT" ]

null

numpy/pythoncode.py

ikelee22/pythonlib

cbf0faf548dfc35d799898178bf7e8c3461e5776

[ "MIT" ]

null

numpy/pythoncode.py

ikelee22/pythonlib

cbf0faf548dfc35d799898178bf7e8c3461e5776

[ "MIT" ]

null

# this is a python file created in jupyter notbook def list_fruits(fruits=[]): for fruit in fruits: print(fruit) fruits = ['apple','kiwi','banana'] list_fruit(fruits)

23.5

50

0.654255

26

188

4.653846

0.692308

0.181818

0

0.223404

188

7

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26.857143

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0.2

false

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null

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1

0

null

0

2

e4f8892896c6ea77e88be5bc9a982ffb3b5c2a3b

5,499

py

Python

code_richheader.py

byeongal/malware_tutorial

f7fc29cab05cc274aef3d2cd8b5e8bcf1acbe8ad

[ "MIT" ]

null

code_richheader.py

byeongal/malware_tutorial

f7fc29cab05cc274aef3d2cd8b5e8bcf1acbe8ad

[ "MIT" ]

null

code_richheader.py

byeongal/malware_tutorial

f7fc29cab05cc274aef3d2cd8b5e8bcf1acbe8ad

[ "MIT" ]

null

import pefile COMPID_DICT = { 0: "Unknown", 1: "Import0", 2: "Linker510", 3: "Cvtomf510", 4: "Linker600", 5: "Cvtomf600", 6: "Cvtres500", 7: "Utc11_Basic", 8: "Utc11_C", 9: "Utc12_Basic", 10: "Utc12_C", 11: "Utc12_CPP", 12: "AliasObj60", 13: "VisualBasic60", 14: "Masm613", 15: "Masm710", 16: "Linker511", 17: "Cvtomf511", 18: "Masm614", 19: "Linker512", 20: "Cvtomf512", 21: "Utc12_C_Std", 22: "Utc12_CPP_Std", 23: "Utc12_C_Book", 24: "Utc12_CPP_Book", 25: "Implib700", 26: "Cvtomf700", 27: "Utc13_Basic", 28: "Utc13_C", 29: "Utc13_CPP", 30: "Linker610", 31: "Cvtomf610", 32: "Linker601", 33: "Cvtomf601", 34: "Utc12_1_Basic", 35: "Utc12_1_C", 36: "Utc12_1_CPP", 37: "Linker620", 38: "Cvtomf620", 39: "AliasObj70", 40: "Linker621", 41: "Cvtomf621", 42: "Masm615", 43: "Utc13_LTCG_C", 44: "Utc13_LTCG_CPP", 45: "Masm620", 46: "ILAsm100", 47: "Utc12_2_Basic", 48: "Utc12_2_C", 49: "Utc12_2_CPP", 50: "Utc12_2_C_Std", 51: "Utc12_2_CPP_Std", 52: "Utc12_2_C_Book", 53: "Utc12_2_CPP_Book", 54: "Implib622", 55: "Cvtomf622", 56: "Cvtres501", 57: "Utc13_C_Std", 58: "Utc13_CPP_Std", 59: "Cvtpgd1300", 60: "Linker622", 61: "Linker700", 62: "Export622", 63: "Export700", 64: "Masm700", 65: "Utc13_POGO_I_C", 66: "Utc13_POGO_I_CPP", 67: "Utc13_POGO_O_C", 68: "Utc13_POGO_O_CPP", 69: "Cvtres700", 70: "Cvtres710p", 71: "Linker710p", 72: "Cvtomf710p", 73: "Export710p", 74: "Implib710p", 75: "Masm710p", 76: "Utc1310p_C", 77: "Utc1310p_CPP", 78: "Utc1310p_C_Std", 79: "Utc1310p_CPP_Std", 80: "Utc1310p_LTCG_C", 81: "Utc1310p_LTCG_CPP", 82: "Utc1310p_POGO_I_C", 83: "Utc1310p_POGO_I_CPP", 84: "Utc1310p_POGO_O_C", 85: "Utc1310p_POGO_O_CPP", 86: "Linker624", 87: "Cvtomf624", 88: "Export624", 89: "Implib624", 90: "Linker710", 91: "Cvtomf710", 92: "Export710", 93: "Implib710", 94: "Cvtres710", 95: "Utc1310_C", 96: "Utc1310_CPP", 97: "Utc1310_C_Std", 98: "Utc1310_CPP_Std", 99: "Utc1310_LTCG_C", 100: "Utc1310_LTCG_CPP", 101: "Utc1310_POGO_I_C", 102: "Utc1310_POGO_I_CPP", 103: "Utc1310_POGO_O_C", 104: "Utc1310_POGO_O_CPP", 105: "AliasObj710", 106: "AliasObj710p", 107: "Cvtpgd1310", 108: "Cvtpgd1310p", 109: "Utc1400_C", 110: "Utc1400_CPP", 111: "Utc1400_C_Std", 112: "Utc1400_CPP_Std", 113: "Utc1400_LTCG_C", 114: "Utc1400_LTCG_CPP", 115: "Utc1400_POGO_I_C", 116: "Utc1400_POGO_I_CPP", 117: "Utc1400_POGO_O_C", 118: "Utc1400_POGO_O_CPP", 119: "Cvtpgd1400", 120: "Linker800", 121: "Cvtomf800", 122: "Export800", 123: "Implib800", 124: "Cvtres800", 125: "Masm800", 126: "AliasObj800", 127: "PhoenixPrerelease", 128: "Utc1400_CVTCIL_C", 129: "Utc1400_CVTCIL_CPP", 130: "Utc1400_LTCG_MSIL", 131: "Utc1500_C", 132: "Utc1500_CPP", 133: "Utc1500_C_Std", 134: "Utc1500_CPP_Std", 135: "Utc1500_CVTCIL_C", 136: "Utc1500_CVTCIL_CPP", 137: "Utc1500_LTCG_C", 138: "Utc1500_LTCG_CPP", 139: "Utc1500_LTCG_MSIL", 140: "Utc1500_POGO_I_C", 141: "Utc1500_POGO_I_CPP", 142: "Utc1500_POGO_O_C", 143: "Utc1500_POGO_O_CPP", 144: "Cvtpgd1500", 145: "Linker900", 146: "Export900", 147: "Implib900", 148: "Cvtres900", 149: "Masm900", 150: "AliasObj900", 151: "Resource900", 152: "AliasObj1000", 154: "Cvtres1000", 155: "Export1000", 156: "Implib1000", 157: "Linker1000", 158: "Masm1000", 170: "Utc1600_C", 171: "Utc1600_CPP", 172: "Utc1600_CVTCIL_C", 173: "Utc1600_CVTCIL_CPP", 174: "Utc1600_LTCG_C ", 175: "Utc1600_LTCG_CPP", 176: "Utc1600_LTCG_MSIL", 177: "Utc1600_POGO_I_C", 178: "Utc1600_POGO_I_CPP", 179: "Utc1600_POGO_O_C", 180: "Utc1600_POGO_O_CPP", 183: "Linker1010", 184: "Export1010", 185: "Implib1010", 186: "Cvtres1010", 187: "Masm1010", 188: "AliasObj1010", 199: "AliasObj1100", 201: "Cvtres1100", 202: "Export1100", 203: "Implib1100", 204: "Linker1100", 205: "Masm1100", 206: "Utc1700_C", 207: "Utc1700_CPP", 208: "Utc1700_CVTCIL_C", 209: "Utc1700_CVTCIL_CPP", 210: "Utc1700_LTCG_C ", 211: "Utc1700_LTCG_CPP", 212: "Utc1700_LTCG_MSIL", 213: "Utc1700_POGO_I_C", 214: "Utc1700_POGO_I_CPP", 215: "Utc1700_POGO_O_C", 216: "Utc1700_POGO_O_CPP", } import pefile # AhnLab-V3 : Trojan/Win32.WannaCryptor.R200571 # ALYac : Trojan.Ransom.WannaCryptor file_path = r"./samples/84c82835a5d21bbcf75a61706d8ab549.vir" pe = pefile.PE(file_path) rich_header = [] for i in range(0, len(getattr(pe.RICH_HEADER, 'values', [])), 2): comp_id = pe.RICH_HEADER.values[i] comp_cnt = pe.RICH_HEADER.values[i + 1] comp_name = COMPID_DICT.get((comp_id & 0xffff0000) >> 16, '*unknown*') comp_build = comp_id & 0xffff rich_header.append({"id": (comp_id & 0xffff0000) >> 16, "count": comp_cnt, "name": comp_name, "build": comp_build}) for each in rich_header: print('Name : {}'.format(each['name'])) print('ID : 0x{:04X}'.format(each['id'])) print('Build : 0x{:04X}'.format(each['build'])) print('Count : {}'.format(each['count'])) print()

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e4fe927d10ea95ffeae42b7f09cf04fcc3b5d779

70

py

Python

visualsnoop/__init__.py

visualsnoop/visualsnoop-client-python

b40dcf90bec67acb091ab2d9f435ea2ba2d24f20

[ "BSD-4-Clause" ]

1

2015-01-25T23:10:52.000Z

visualsnoop/__init__.py

visualsnoop/visualsnoop-client-python

b40dcf90bec67acb091ab2d9f435ea2ba2d24f20

[ "BSD-4-Clause" ]

null

visualsnoop/__init__.py

visualsnoop/visualsnoop-client-python

b40dcf90bec67acb091ab2d9f435ea2ba2d24f20

[ "BSD-4-Clause" ]

null

__version__ = '0.2' DEFAULT_ENDPOINT='http://visualsnoop.com/api/v1'

17.5

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1

0

false

0

1

0

null

0

1

0

null

0

2

90199a66d87e8247108db5d542392d6e5d5033f5

847

py

Python

fbone/badge/models.py

edgarallang/dop-backend

c7c89b6145dfb895ab3dcb14172fa47afdbdf1be

[ "BSD-3-Clause" ]

1

2015-12-14T17:53:34.000Z

fbone/badge/models.py

edgarallang/fbone

c7c89b6145dfb895ab3dcb14172fa47afdbdf1be

[ "BSD-3-Clause" ]

null

fbone/badge/models.py

edgarallang/fbone

c7c89b6145dfb895ab3dcb14172fa47afdbdf1be

[ "BSD-3-Clause" ]

null

from sqlalchemy import Column, types from sqlalchemy.ext.mutable import Mutable from sqlalchemy.exc import IntegrityError from ..extensions import db from ..utils import get_current_time, SEX_TYPE, STRING_LEN from ..level import * from .schemas import * class Badge(db.Model): __tablename__ = 'badges' badge_id = Column(db.Integer, primary_key=True) name = Column(db.String(STRING_LEN), nullable=False, unique=True) info = Column(db.String(STRING_LEN), nullable=False) level = db.relationship("Level", uselist=False, backref="badges") class UsersBadges(db.Model): __tablename__ = 'users_badges' users_badges_id = Column(db.Integer, primary_key=True) user_id = Column(db.Integer) badge_id = Column(db.Integer) reward_date = Column(db.DateTime) type = Column(db.String(STRING_LEN), nullable=False)

35.291667

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0.742621

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847

5.26087

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0.066116

0.112397

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0.149941

847

23

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1

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null

0

null

0

1

0

1

0

2

9019e285df73098dd09c9649c272611b9680d776

78

py

Python

apps/network_apps/__init__.py

LouisPi/PiPortableRecorder

430a4b6e1e869cbd68fd89bbf97261710fd7db6b

[ "Apache-2.0", "MIT" ]

51

2017-12-03T21:59:13.000Z

2021-01-02T17:13:34.000Z

apps/network_apps/__init__.py

LouisPi/PiPortableRecorder

430a4b6e1e869cbd68fd89bbf97261710fd7db6b

[ "Apache-2.0", "MIT" ]

153

2017-10-27T19:59:46.000Z

2020-01-14T23:58:57.000Z

apps/network_apps/__init__.py

LouisPi/PiPortableRecorder

430a4b6e1e869cbd68fd89bbf97261710fd7db6b

[ "Apache-2.0", "MIT" ]

26

2017-11-16T11:10:56.000Z

2022-03-29T18:44:48.000Z

_menu_name = "Networking" _ordering = [ "wpa_cli", "network", "nmap", "upnp"]

11.142857

25

0.653846

9

78

5.222222

1

0

0.128205

78

6

26

13

0.691176

0

0.410256

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1

0

false

0

1

0

null

0

1

0

null

0

2

90320414d5545b38764cd72587480188bd9c886c

422

py

Python

python/en/_numpy/organize_this/test_numpy.Quickstart_tutorial-03.py

aimldl/coding

70ddbfaa454ab92fd072ee8dc614ecc330b34a70

[ "MIT" ]

null

python/en/_numpy/organize_this/test_numpy.Quickstart_tutorial-03.py

aimldl/coding

70ddbfaa454ab92fd072ee8dc614ecc330b34a70

[ "MIT" ]

null

python/en/_numpy/organize_this/test_numpy.Quickstart_tutorial-03.py

aimldl/coding

70ddbfaa454ab92fd072ee8dc614ecc330b34a70

[ "MIT" ]

null

""" test_numpy.Quickstart_tutorial-03.py * References Quickstart tutorial https://docs.scipy.org/doc/numpy/user/quickstart.html TODO: Start from A frequent error consists in calling array with multiple numeric """ import numpy as np a = np.array( [2,3,4] ) """ >>> a array([2, 3, 4]) >>> a.dtype dtype('int64') >>> a.dtype.name 'int64' """ b = np.array( [1.2, 3.5, 5.1] ) """ >>> b.dtype dtype('float64') """

14.066667

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0.63981

67

422

4

0.597015

0.022388

0.052239

0.059701

0.067164

0

0.056497

0.161137

422

30

66

14.066667

0.700565

0.504739

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0.033333

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false

0

0.333333

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0.333333

0

null

0

null

0

1

0

1

0

2

903a54b6626556365a90f252b17955f6d87727ea

512

py

Python

examples/basic/handler.py

ferama/bruco

77edef97dfa0fb64209ac1c64f768f524920a116

[ "MIT" ]

1

2021-05-24T15:17:00.000Z

examples/basic/handler.py

ferama/bruco

77edef97dfa0fb64209ac1c64f768f524920a116

[ "MIT" ]

null

examples/basic/handler.py

ferama/bruco

77edef97dfa0fb64209ac1c64f768f524920a116

[ "MIT" ]

null

import os def handle_event(context, data): context.logger.info(data.decode()) if context.var == False: context.logger.info("var is false") setattr(context, "var", True) else: context.logger.info("var is true") context.logger.info("##### ENV DUMP #####") for k, v in os.environ.items(): context.logger.info(f"{k}: {v}") return data.decode() + " test" def init_context(context): context.logger.info("init context") setattr(context, "var", False)

26.947368

47

0.611328

68

512

4.573529

0.426471

0.250804

0.327974

0.128617

0.141479

0

0.216797

512

19

48

26.947368

0.775561

0

0.14425

0

1

0.133333

false

0

0.066667

0

0.266667

0

null

1

0

null

0

2

5f440383899383c1efbd2eccc5f0cb1b8ab53ed4

857

py

Python

src/syaml/interfaces.py

lgblkb/syaml

442f377066eab73eb55e346f368bc46eda25d8cc

[ "Apache-2.0" ]

null

src/syaml/interfaces.py

lgblkb/syaml

442f377066eab73eb55e346f368bc46eda25d8cc

[ "Apache-2.0" ]

null

src/syaml/interfaces.py

lgblkb/syaml

442f377066eab73eb55e346f368bc46eda25d8cc

[ "Apache-2.0" ]

null

from zope.interface import ( Attribute, Interface, ) class IPreProcess(Interface): def __call__(fileobj): """Initial processing for target file. :param fileobj: :rtype: file like object :return fileobj: file object (seeked to top) """ class IParser(Interface): def __call__(fileobj): """Parse fileobj :param fileobj: :rtype: unkown :return obj: parsed object """ class IPostProcess(Interface): def __call__(obj): """Post process to obj :param fileobj: :rtype: unkown :return obj: post processed object """ class IReader(Interface): pre = Attribute('pre process') parse = Attribute('parser process') post = Attribute('post process') def __call__(obj): """Read formatted file"""

19.477273

52

0.590432

86

857

5.697674

0.430233

0.057143

0.097959

0.093878

0.130612

0

0.305718

857

43

53

19.930233

0.823529

0.352392

0

0.266667

0

0.085057

0

1

0.266667

false

0

0.066667

0

0.8

0

null

0

null

0

1

0

1

0

2

5f685cfaeb21ee93d617e2000789bec4ccb9c5bf

992

py

Python

examples/benchmark_example.py

eirrgang/radical.utils

7a3dde9cf8cc110d3d35f507fe1e27554bbb92d2

[ "MIT" ]

7

2015-10-25T10:07:19.000Z

2021-04-30T04:25:31.000Z

examples/benchmark_example.py

eirrgang/radical.utils

7a3dde9cf8cc110d3d35f507fe1e27554bbb92d2

[ "MIT" ]

205

2015-02-23T10:32:26.000Z

2022-03-26T19:27:46.000Z

examples/benchmark_example.py

eirrgang/radical.utils

7a3dde9cf8cc110d3d35f507fe1e27554bbb92d2

[ "MIT" ]

8

2015-09-17T21:42:29.000Z

2020-10-06T11:53:22.000Z

__author__ = "Radical.Utils Development Team (Andre Merzky)" __copyright__ = "Copyright 2013, RADICAL@Rutgers" __license__ = "MIT" import radical.utils as ru import sys import time # ------------------------------------------------------------------------------ # def benchmark_pre(tid, app_cfg, bench_cfg): if 'load' not in app_cfg: raise KeyError('no load configured') # ------------------------------------------------------------------------------ # def benchmark_core(tid, i, app_cfg, bench_cfg): time.sleep(float(app_cfg['load'])) # ------------------------------------------------------------------------------ # def benchmark_post(tid, app_cfg, bench_cfg): pass # ------------------------------------------------------------------------------ # cfg = sys.argv[1] b = ru.Benchmark(cfg, 'job_run', benchmark_pre, benchmark_core, benchmark_post) b.run() b.eval() # ------------------------------------------------------------------------------

22.044444

80

0.413306

86

992

4.453488

0.511628

0.078329

0.086162

0.109661

0.088773

0

0.005708

0.116935

992

44

81

22.545455

0.431507

0.397177

0

0.191453

0

1

0.176471

false

0.058824

0.176471

0

0.352941

0

null

0

1

0

null

0

1

0

2

5f70c151b5b096b3e0b0b61d8b7adf82f806a94c

813

py

Python

com_blacktensor/cop/exc/resource/exchange.py

Jelly6489/Stock-Proj

3e7b1ad5cddc5b142f0069e024199fe969c7c7e8

[ "MIT" ]

null

com_blacktensor/cop/exc/resource/exchange.py

Jelly6489/Stock-Proj

3e7b1ad5cddc5b142f0069e024199fe969c7c7e8

[ "MIT" ]

null

com_blacktensor/cop/exc/resource/exchange.py

Jelly6489/Stock-Proj

3e7b1ad5cddc5b142f0069e024199fe969c7c7e8

[ "MIT" ]

2

2020-11-13T08:11:04.000Z

2020-11-14T05:32:09.000Z

# from flask import request # from flask_restful import Resource, reqparse # from flask import jsonify # from com_blacktensor.cop.exc.model.exchange_kdd import ExchangeKdd # from com_blacktensor.cop.exc.model.exchange_kdd import ExchangeDao # # ============================================================ # # ================== ===================== # # ================== Resourcing ===================== # # ================== ===================== # # ============================================================ # class Exchange(Resource): # def __init__(self): # self.dao = FinanceDao() # def get(self): # result = self.dao.find_all() # return jsonify([item.json for item in result]) # # return jsonify(str(result))

40.65

68

0.434194

64

813

5.359375

0.53125

0.078717

0.087464

0.122449

0.268222

0

0.201722

813

20

69

40.65

0.528505

0.947109

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

5f714ae985efa6fe9d1ea19f977f36c9fbe405b1

156

py

Python

client/my-client.py

chrisdo023/My-IKEA-Greenhouse-Cabinet

87c178fadbb23483ba01140277d9365326f1807e

[ "MIT" ]

null

client/my-client.py

chrisdo023/My-IKEA-Greenhouse-Cabinet

87c178fadbb23483ba01140277d9365326f1807e

[ "MIT" ]

null

client/my-client.py

chrisdo023/My-IKEA-Greenhouse-Cabinet

87c178fadbb23483ba01140277d9365326f1807e

[ "MIT" ]

null

import requests, json response = requests.get('http://127.0.0.1:5000/retrieve') item = json.loads(response.text) for each in item["data"]: print(each)

22.285714

57

0.705128

25

156

4.4

0.76

0

0.072993

0.121795

156

7

58

22.285714

0.729927

0

0.216561

0

1

0

false

0

0.2

0

0.2

1

0

null

0

1

0

null

0

2

5f73410d5413f2993374ec22e1346db0d8c2d04b

1,413

py

Python

test_priorityq.py

CharlyWelch/data-structures

eda7ecf1256758e3b1005286f9d4849df71b2201

[ "MIT" ]

null

test_priorityq.py

CharlyWelch/data-structures

eda7ecf1256758e3b1005286f9d4849df71b2201

[ "MIT" ]

null

test_priorityq.py

CharlyWelch/data-structures

eda7ecf1256758e3b1005286f9d4849df71b2201

[ "MIT" ]

null

import pytest import unittest from priorityq import Node, PriorityQ class PriorityTest(unittest.TestCase): def test_1(self): """ test that insert puts the node in the queue """ p = PriorityQ() n1 = Node(1) p.insert(n1) self.assertEqual(p.head._value, 1) def test_2(self): """ test that insert puts the node in the queue in the correct position with no priority assignment """ p = PriorityQ() n1 = Node(1) n2 = Node(2) p.insert(n1) p.insert(n2) self.assertEqual(p.head._value, 1) def test_3(self): """ test that insert puts the node in the queue in the correct position if given a priority value """ p = PriorityQ() n1 = Node(1) n2 = Node(2) n3 = Node(3) p.insert(n1, 1) p.insert(n2, 2) p.insert(n3, 3) self.assertEqual(p.head._priority, 3) def test_4(self): """ test that pop() removes the highest priority node """ pass def test_5(self): """ test that pop() returns the value of the highest priority node """ def test_6(self): """ test that peek() returns the value of the highest ptriority node """ def test_7(self): """ test that pop() returns None if empty """ pass def test_8(self): """ test that peek() returns None if empty """ pass

27.705882

111

0.573956

199

1,413

4.020101

0.261307

0.07

0.12

0.0675

0.56

0.40625

0.33875

0.19625

0

0.033195

0.317764

1,413

50

112

28.26

0.796681

0.350318

0

0.454545

0

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false

0.090909

0

0.363636

0

null

0

null

0

1

0

1

0

2

5f74dfc76f6dc61f009b7c27b53d023109e64a5f

294

py

Python

Crawling/googleimages/google.py

osamhack2020/web_ArmyLens_ArmyLens

23678d7dab25fceaacc30b158461b26820e4195c

[ "MIT" ]

1

2021-09-29T09:05:51.000Z

Crawling/googleimages/google.py

osamhack2020/web_ArmyLens_ArmyLens

23678d7dab25fceaacc30b158461b26820e4195c

[ "MIT" ]

null

Crawling/googleimages/google.py

osamhack2020/web_ArmyLens_ArmyLens

23678d7dab25fceaacc30b158461b26820e4195c

[ "MIT" ]

null

from google_images_download import google_images_download response = google_images_download.googleimagesdownload() arguments = {"keywords":"MM-1 Minimore","limit":200,"print_urls":True, "format": "png"} #creating list of arguments paths = response.download(arguments) print(paths)

42

118

0.768707

35

294

6.257143

0.657143

0.164384

0.273973

0

0.015385

0.115646

294

7

119

42

0.826923

0.088435

0

0.171756

0

1

0

false

0

0.2

0

0.2

0.4

0

null

0

1

0

1

0

null

0

2

5fc3bf4ebe495a830672e1be94810404b51dbaf6

690

py

Python

tools/skqp/extract_report.py

ndsol/subskia

9a8f6e5ffc6676281a4389aa1503ba6c4352eaca

[ "BSD-3-Clause" ]

null

tools/skqp/extract_report.py

ndsol/subskia

9a8f6e5ffc6676281a4389aa1503ba6c4352eaca

[ "BSD-3-Clause" ]

null

tools/skqp/extract_report.py

ndsol/subskia

9a8f6e5ffc6676281a4389aa1503ba6c4352eaca

[ "BSD-3-Clause" ]

null

#! /usr/bin/env python2 # Copyright 2017 Google Inc. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import StringIO import os import sys import sysopen import tarfile import tempfile import zlib if __name__ == '__main__': if len(sys.argv) != 2: print 'usage: %s FILE.ab\n' % sys.argv[0] exit (1) with open(sys.argv[1], 'rb') as f: f.read(24) t = tarfile.open(fileobj=StringIO.StringIO(zlib.decompress(f.read()))) d = tempfile.mkdtemp(prefix='skqp_') t.extractall(d) p = os.path.join(d, 'apps/org.skia.skqp/f/skqp_report/report.html') assert os.path.isfile(p) print p sysopen.sysopen(p)

23

74

0.678261

114

690

4.017544

0.649123

0.045852

0

0.019643

0.188406

690

29

75

23.793103

0.798214

0.213043

0

0.145522

0.08209

0

0.05

0

null

0

0.35

null

0.1

0

null

0

null

0

1

0

1

0

2

5fcb5d3ba67e8013a7289cbef9b3d31e10a2ae4b

599

py

Python

sandbox/apps/shipping/repository.py

izi-core/izi-core

21176be2d41f0cf54ca954f294209c585f643dba

[ "BSD-3-Clause" ]

null

sandbox/apps/shipping/repository.py

izi-core/izi-core

21176be2d41f0cf54ca954f294209c585f643dba

[ "BSD-3-Clause" ]

null

sandbox/apps/shipping/repository.py

izi-core/izi-core

21176be2d41f0cf54ca954f294209c585f643dba

[ "BSD-3-Clause" ]

null

from decimal import Decimal as D from izi.apps.shipping.methods import Free, FixedPrice from izi_shipping.methods import SelfPickup, ApiBased from izi.apps.shipping.repository import Repository as CoreRepository class Repository(CoreRepository): """ This class is included so that there is a choice of shipping methods. IZI's default behavior is to only have one which means you can't test the shipping features of PayPal. """ # Here we will list all the supported shipping method... , ApiBased() methods = [Free(), FixedPrice(D('10.00'), D('10.00')), SelfPickup(), ]

37.4375

74

0.734558

86

599

5.104651

0.581395

0.047836

0.050114

0.08656

0

0.01626

0.178631

599

15

75

39.933333

0.876016

0.402337

0

0.02994

0

1

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false

0

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0

1

0

null

0

null

0

1

0

1

0

2

3955f9dae10de161cc239ff54f3ab4a4802a717e

555

py

Python

examples/pyecho/echo.py

38/plumber

30fead11cddd6352025dcac0c16065172744c0f9

[ "BSD-2-Clause" ]

39

2017-05-22T04:23:41.000Z

2021-11-15T20:19:20.000Z

examples/pyecho/echo.py

38/plumber

30fead11cddd6352025dcac0c16065172744c0f9

[ "BSD-2-Clause" ]

10

2017-05-27T14:36:11.000Z

2018-04-26T20:46:51.000Z

examples/pyecho/echo.py

38/plumber

30fead11cddd6352025dcac0c16065172744c0f9

[ "BSD-2-Clause" ]

2

2017-06-09T21:36:51.000Z

2019-01-27T01:30:58.000Z

import pservlet def init(args): return (pservlet.pipe_define("in", pservlet.PIPE_INPUT), pservlet.pipe_define("out", pservlet.PIPE_OUTPUT)) def execute(s): while True: tmp = pservlet.pipe_read(s[0]) if not tmp: if not pservlet.pipe_eof(s[0]): pservlet.pipe_set_flag(s[0], pservlet.PIPE_PERSIST) else: pservlet.pipe_clr_flag(s[0], pservlet.PIPE_PERSIST) return 0 else: pservlet.pipe_write(s[1], tmp) def cleanup(s): return 0

27.75

67

0.587387

74

555

4.22973

0.405405

0.421725

0.095847

0.134185

0.159744

0

0.018041

0.300901

555

19

68

29.210526

0.78866

0

0.235294

0

0.009009

0

1

0.176471

false

0

0.058824

0.117647

0.411765

0

null

1

0

null

0

1

0

2

396bef3adb8fd217f072af71f4c4a636d0527ee7

5,237

py

Python

controller.py

MiloDennison/Text-Stream-Protocol

dbd8267286e0a454f9f54e86da02f65014561ca0

[ "MIT" ]

null

controller.py

MiloDennison/Text-Stream-Protocol

dbd8267286e0a454f9f54e86da02f65014561ca0

[ "MIT" ]

null

controller.py

MiloDennison/Text-Stream-Protocol

dbd8267286e0a454f9f54e86da02f65014561ca0

[ "MIT" ]

null

#4390 Semester Project #Patrick Le, Trevor, Duncan, Logan Dennison #Controller Code import socket import sys import os import errno import time class Controller: LOCAL_IP = "10.0.0.3" R_IP = "10.0.0.2" S_IP = "10.0.0.1" C_SEND = (LOCAL_IP,2500) C_RECV = (LOCAL_IP,5000) R = (R_IP,5000) S = (S_IP,5000) sendSock = socket.socket(socket.AF_INET,socket.SOCK_DGRAM) recvSock = socket.socket(socket.AF_INET,socket.SOCK_DGRAM) COMMANDPROMPT = ("Enter the number corresponding to the desired command:\n[0] Play\n[1] Pause\n[2] Restart\n[3] Disconnect\n") FILEPROMPT = ("Enter the number corresponding to the desired file:") type = "" code = "" inPayload = ["",""] outPayload = "" disconnect = False streaming = False def __init__(self): self.sendSock.bind(self.C_SEND) self.recvSock.bind(self.C_RECV) self.disconnect = False def isConnected(self): if self.disconnect: return False else: return True def listenCommand(self): #print("Controller: Listening") packet = ["","",""] try: rawPacket, rawIP = self.recvSock.recvfrom(2048) except: raise if rawPacket: #print "Controller: Received Message" packet = rawPacket.split(" ",2) self.type = packet[0] #first is type self.code = packet[1] #second is type if type == "STREAM" and code == "NULL": self.inPayload = packet[2].split(" ",1) #will be split if type and code are stream and NULL else: self.inPayload[0] = packet[2] #print "Controller: MESSAGE: " + self.type + " " + self.code + " " + str(self.inPayload) def sendCommand(self, HOST, STATUS): #print "Controller: Sending" localPacket = STATUS + self.outPayload if HOST == "S": self.sendSock.sendto(localPacket,self.S) if HOST == "R": self.sendSock.sendto(localPacket,self.R) #print "Controller: Message Sent to " + HOST #print "Controller: MESSAGE: " + localPacket def play(self): print "Controller: PLAY" self.sendCommand("S", "PLAY NULL ") def pause(self): print "Controller: PAUSE" self.sendCommand("S", "PAUSE NULL ") def restart(self): print "Controller: RESTART" self.outPayload = str(0) self.sendCommand("S", "PLAY LINE ") self.sendCommand("R", "PLAY LINE ") def disconnectF(self): print "Controller: DISCONNECT" self.sendCommand("S", "DISCONNECT NULL ") print "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n" print "Controller: Disconnected" controller = Controller() print "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n" while controller.isConnected(): #create initial frame controller.sendCommand("S", "CONNECT NULL ") prompt = "" controller.recvSock.setblocking(1) controller.listenCommand() controller.recvSock.setblocking(0) files = controller.inPayload[0].split(" ",len(controller.inPayload[0])-1) print controller.FILEPROMPT index = 0 for f in files: prompt += "[" + str(index) + "]" + " " + f + "\n" index += 1 index = int(raw_input(prompt)) print "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n" controller.outPayload = files[index] controller.sendCommand("R", "STREAM FILE ") #populate list frame #wait for selection of file by user while controller.isConnected(): try: controller.listenCommand() except socket.error: continue #include try and catch in a loop else: if controller.code == "FNF": break controller.recvSock.setblocking(1) while controller.code != "READY": controller.listenCommand() controller.sendCommand("S", "PLAY NULL ") controller.recvSock.setblocking(0) while controller.isConnected(): buttonPress = int(raw_input(controller.COMMANDPROMPT)) controller.recvSock.setblocking(0) print "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n" if buttonPress == 0: controller.play() elif buttonPress == 1: controller.pause() elif buttonPress == 2: controller.restart() elif buttonPress == 3: controller.disconnectF() controller.disconnect = True if(controller.code == "END"): controller.disconnect = True controller.sendCommand("S", "DISCONNECT NULL ") controller.sendCommand("R", "DISCONNECT NULL ") controller.sendCommand("S", "DISCONNECT NULL ") controller.sendCommand("R", "DISCONNECT NULL ") controller.sendCommand("S", "DISCONNECT NULL ") controller.sendCommand("R", "DISCONNECT NULL ") controller.sendCommand("S", "DISCONNECT NULL ") controller.sendCommand("R", "DISCONNECT NULL ")

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39709bbf1853da0b896853e72944583fb96a441b

247

py

Python

backend/mariokrat/models/player.py

meikyuu/MarioKrat

36839ffc442f6ca861c1ceb0e1b911d5723cf48a

[ "MIT" ]

null

backend/mariokrat/models/player.py

meikyuu/MarioKrat

36839ffc442f6ca861c1ceb0e1b911d5723cf48a

[ "MIT" ]

5

2021-03-30T12:33:53.000Z

2021-09-22T18:21:46.000Z

backend/mariokrat/models/player.py

meikyuu/MarioKrat

36839ffc442f6ca861c1ceb0e1b911d5723cf48a

[ "MIT" ]

2

2022-03-14T13:59:53.000Z

2022-03-14T14:00:17.000Z

from django.db import models class Player(models.Model): tournament = models.ForeignKey( 'Tournament', on_delete=models.CASCADE, related_name='players', ) number = models.IntegerField() name = models.TextField()

20.583333

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null

0

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39746299e2b573fa225d11623903bec33e7fcf29

178

py

Python

app/schemas/utils.py

ninoseki/uzen

93726f22f43902e17b22dd36142dac05171d0d84

[ "MIT" ]

76

2020-02-27T06:36:27.000Z

2022-03-10T20:18:03.000Z

app/schemas/utils.py

ninoseki/uzen

93726f22f43902e17b22dd36142dac05171d0d84

[ "MIT" ]

33

2020-03-13T02:04:14.000Z

2022-03-04T02:06:11.000Z

app/schemas/utils.py

ninoseki/uzen

93726f22f43902e17b22dd36142dac05171d0d84

[ "MIT" ]

6

2020-03-17T16:42:25.000Z

2021-04-27T06:35:46.000Z

from pydantic import BaseModel, Field class CountResponse(BaseModel): """Count""" count: int = Field( ..., description="A Total count of items", )

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null

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3981270e42135ab0df13c69a250e1f6e5ee4f7b3

379

py

Python

luvina/backend/__init__.py

EnjoyLifeFund/py36pkgs

0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2

[ "MIT", "BSD-2-Clause", "BSD-3-Clause" ]

null

luvina/backend/__init__.py

EnjoyLifeFund/py36pkgs

0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2

[ "MIT", "BSD-2-Clause", "BSD-3-Clause" ]

null

luvina/backend/__init__.py

EnjoyLifeFund/py36pkgs

0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2

[ "MIT", "BSD-2-Clause", "BSD-3-Clause" ]

null

from __future__ import absolute_import from __future__ import print_function import sys _BACKEND = 'nltk' if _BACKEND == 'nltk': sys.stderr.write('Using NLTK backend.\n') from .nltk_backend import * else: raise ValueError('Unknown backend: ' + str(_BACKEND)) def backend(): """Public method for determining the current backend. """ return _BACKEND

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null

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null

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1

0

2

398724660340fd5da262f9ee3c6da6f332554b43

1,236

py

Python

pytpp/attributes/code_signing_project.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

4

2022-02-04T23:58:55.000Z

2022-02-15T18:53:08.000Z

pytpp/attributes/code_signing_project.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

pytpp/attributes/code_signing_project.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

from pytpp.attributes._helper import IterableMeta, Attribute from pytpp.attributes.top import TopAttributes class CodeSigningProjectAttributes(TopAttributes, metaclass=IterableMeta): __config_class__ = "Code Signing Project" approval_submission_date = Attribute('Approval Submission Date', min_version='21.2') auditor = Attribute('Auditor', min_version='19.2') certificate_issue_flow_dn = Attribute('Certificate Issue Flow DN', min_version='19.2') certificate_owner = Attribute('Certificate Owner', min_version='19.2') code_signing_application_dn = Attribute('Code Signing Application DN', min_version='19.2') flow_instance_macro = Attribute('Flow Instance Macro', min_version='19.3') key_issue_flow_dn = Attribute('Key Issue Flow DN', min_version='19.2') key_owner = Attribute('Key Owner', min_version='19.2') key_use_approver = Attribute('Key Use Approver', min_version='19.2') key_user = Attribute('Key User', min_version='19.2') owner = Attribute('Owner', min_version='19.2') project_delete_flow_dn = Attribute('Project Delete Flow DN', min_version='21.1') purpose = Attribute('Purpose', min_version='19.2') risk_level = Attribute('Risk Level', min_version='19.2') status = Attribute('Status', min_version='19.2')

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null

0

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0

null

0

1

0

2

3988711ef652132d461d91e1ce96e42cb1fd49e2

2,019

py

Python

app/oauth2/models.py

yishan1331/heroku-yishan-paas

bd46bc8c067999b1dfb83b863b5ba64e76933d0a

[ "MIT" ]

null

app/oauth2/models.py

yishan1331/heroku-yishan-paas

bd46bc8c067999b1dfb83b863b5ba64e76933d0a

[ "MIT" ]

null

app/oauth2/models.py

yishan1331/heroku-yishan-paas

bd46bc8c067999b1dfb83b863b5ba64e76933d0a

[ "MIT" ]

null

# -*- coding: utf-8 -*- import time from sqlalchemy import Column, String, Integer, ForeignKey from sqlalchemy.orm import relationship from sqlalchemy.ext.declarative import declarative_base from authlib.integrations.sqla_oauth2 import ( OAuth2ClientMixin, OAuth2AuthorizationCodeMixin, OAuth2TokenMixin, ) # import redis Base = declarative_base() #客戶API主帳號列表 class SystemList(Base): __tablename__ = 'system_list' id = Column(Integer, primary_key=True) system_name = Column(String(40), unique=True) system_info = Column(String(128)) def __str__(self): return self.system_name def get_system_id(self): return self.id def check_password(self, password): return password == 'valid' #客戶API主帳號Oauth2 Client列表(client_id&client_secret....) class OAuth2Client(Base, OAuth2ClientMixin): __tablename__ = 'oauth2_client' id = Column(Integer, primary_key=True) system_id = Column( Integer, ForeignKey('system_list.id', ondelete='CASCADE')) sub_account_counts = Column(Integer, nullable=False, default=0) system_list = relationship('SystemList') # class OAuth2AuthorizationCode(Base, OAuth2AuthorizationCodeMixin): # __tablename__ = 'oauth2_code' # id = Column(Integer, primary_key=True) # system_id = Column( # Integer, ForeignKey('system_list.id', ondelete='CASCADE')) # system_list = relationship('SystemList') class OAuth2Token(Base, OAuth2TokenMixin): __tablename__ = 'oauth2_token' id = Column(Integer, primary_key=True) system_id = Column( Integer, ForeignKey('system_list.id', ondelete='CASCADE')) system_list = relationship('SystemList') def is_refresh_token_active(self): if self.revoked: return False expires_at = self.issued_at + self.expires_in * 2 return expires_at >= time.time() # POOL = redis.ConnectionPool(host='192.168.88.75', port=6379, db=0,password="sapido") # Yishan_dbRedis = redis.Redis(connection_pool=POOL)

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0.076032

0.063722

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0

null

0

null

0

1

0

1

0

2

398ade4f499a43f9a2c94b761110bd1a24df5a61

417

py

Python

kabzimal/rest/views/category.py

arasumran/kabzimal

dbae35fdb940bdf0338bd43983b1894c87a35961

[ "MIT" ]

null

kabzimal/rest/views/category.py

arasumran/kabzimal

dbae35fdb940bdf0338bd43983b1894c87a35961

[ "MIT" ]

12

2020-06-05T23:02:28.000Z

2022-03-11T23:59:56.000Z

kabzimal/rest/views/category.py

arasumran/kabzimal

dbae35fdb940bdf0338bd43983b1894c87a35961

[ "MIT" ]

null

# -*- coding: utf-8 -*- from rest_framework.permissions import AllowAny from rest_framework.viewsets import ModelViewSet from kabzimal.models import CategoryModel from kabzimal.rest.serializers.category import CategorySerializers class CategoryViewSet(ModelViewSet): search_fields = '__all__' ordering_fields = '__all__' serializer_class = CategorySerializers queryset = CategoryModel.objects.all()

32.076923

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null

0

null

0

1

0

1

0

2

398f86a2d0e79cd0f4a7623be335f6e264b20313

5,749

py

Python

hatemile/util/html/htmldomelement.py

hatemile/HaTeMiLe-for-Python

1e914f9aa09f6f8d78282af131311546ecba9fb8

[ "Apache-2.0" ]

2

2018-10-26T02:55:35.000Z

2021-03-30T07:07:55.000Z

hatemile/util/html/htmldomelement.py

hatemile/HaTeMiLe-for-Python

1e914f9aa09f6f8d78282af131311546ecba9fb8

[ "Apache-2.0" ]

null

hatemile/util/html/htmldomelement.py

hatemile/HaTeMiLe-for-Python

1e914f9aa09f6f8d78282af131311546ecba9fb8

[ "Apache-2.0" ]

null

# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Module of HTMLDOMElement interface. """ from .htmldomnode import HTMLDOMNode class HTMLDOMElement(HTMLDOMNode): """ The HTMLDOMElement interface contains the methods for access of the HTML element. """ def get_tag_name(self): """ Returns the tag name of element. :return: The tag name of element in uppercase letters. :rtype: str """ pass def get_attribute(self, name): """ Returns the value of a attribute. :param name: The name of attribute. :type name: str :return: The value of the attribute or None if the element not contains the attribute. :rtype: str """ pass def set_attribute(self, name, value): """ Create or modify a attribute. :param name: The name of attribute. :type name: str :param value: The value of attribute. :type value: str """ pass def remove_attribute(self, name): """ Remove a attribute of element. :param name: The name of attribute. :type name: str """ pass def has_attribute(self, name): """ Check that the element has an attribute. :param name: The name of attribute. :type name: str :return: True if the element has the attribute or False if the element not has the attribute. :rtype: bool """ pass def has_attributes(self): """ Check that the element has attributes. :return: True if the element has attributes or False if the element not has attributes. :rtype: bool """ pass def append_element(self, element): """ Append a element child. :param element: The element that be inserted. :type element: hatemile.util.html.htmldomelement.HTMLDOMElement :return: This element. :rtype: hatemile.util.html.htmldomelement.HTMLDOMElement """ pass def prepend_element(self, element): """ Prepend a element child. :param element: The element that be inserted. :type element: hatemile.util.html.htmldomelement.HTMLDOMElement :return: This element. :rtype: hatemile.util.html.htmldomelement.HTMLDOMElement """ pass def get_children_elements(self): """ Returns the elements children of this element. :return: The elements children of this element. :rtype: list(hatemile.util.html.htmldomelement.HTMLDOMElement) """ pass def get_children(self): """ Returns the children of this element. :return: The children of this element. :rtype: list(hatemile.util.html.htmldomnode.HTMLDOMNode) """ pass def normalize(self): """ Joins adjacent Text nodes. :return: This element. :rtype: hatemile.util.html.htmldomelement.HTMLDOMElement """ pass def has_children_elements(self): """ Check that the element has elements children. :return: True if the element has elements children or False if the element not has elements children. :rtype: bool """ pass def has_children(self): """ Check that the element has children. :return: True if the element has children or False if the element not has children. :rtype: bool """ pass def get_inner_html(self): """ Returns the inner HTML code of this element. :return: The inner HTML code of this element. :rtype: str """ pass def get_outer_html(self): """ Returns the HTML code of this element. :return: The HTML code of this element. :rtype: str """ pass def clone_element(self): """ Clone this element. :return: The clone. :rtype: hatemile.util.html.htmldomelement.HTMLDOMElement """ pass def get_first_element_child(self): """ Returns the first element child of this element. :return: The first element child of this element. :rtype: hatemile.util.html.htmldomelement.HTMLDOMElement """ pass def get_last_element_child(self): """ Returns the last element child of this element. :return: The last element child of this element. :rtype: hatemile.util.html.htmldomelement.HTMLDOMElement """ pass def get_first_node_child(self): """ Returns the first node child of this element. :return: The first node child of this element. :rtype: hatemile.util.html.htmldomnode.HTMLDOMNode """ pass def get_last_node_child(self): """ Returns the last node child of this element. :return: The last node child of this element. :rtype: hatemile.util.html.htmldomnode.HTMLDOMNode """ pass

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0.52381

0

null

0

null

0

1

0

1

0

2

39946cb9509090d128de507f741845fa334ac528

217

py

Python

uvaonlinejudge/12577.py

andraantariksa/code-exercise-answer

69b7dbdc081cdb094cb110a72bc0c9242d3d344d

[ "MIT" ]

1

2019-11-06T15:17:48.000Z

uvaonlinejudge/12577.py

andraantariksa/code-exercise-answer

69b7dbdc081cdb094cb110a72bc0c9242d3d344d

[ "MIT" ]

null

uvaonlinejudge/12577.py

andraantariksa/code-exercise-answer

69b7dbdc081cdb094cb110a72bc0c9242d3d344d

[ "MIT" ]

1

2018-11-13T08:43:26.000Z

i = 1 while True: inp = input() if inp == "Hajj": inp = "Hajj-e-Akbar" elif inp == "Umrah": inp = "Hajj-e-Asghar" else: break print("Case {}: {}".format(i, inp)) i += 1

18.083333

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0

0.090909

1

0

null

1

0

null

0

2

39986bd00756fe2928054494e06dba5ca1cdd690

1,488

py

Python

src/cobra/apps/organization/summary/views.py

lyoniionly/django-cobra

2427e5cf74b7739115b1224da3306986b3ee345c

[ "Apache-2.0" ]

1

2015-01-27T08:56:46.000Z

src/cobra/apps/organization/summary/views.py

lyoniionly/django-cobra

2427e5cf74b7739115b1224da3306986b3ee345c

[ "Apache-2.0" ]

null

src/cobra/apps/organization/summary/views.py

lyoniionly/django-cobra

2427e5cf74b7739115b1224da3306986b3ee345c

[ "Apache-2.0" ]

null

from __future__ import absolute_import import calendar from collections import OrderedDict import collections from itertools import groupby import json from braces.views import JSONResponseMixin import datetime from django import http from django.core.exceptions import ObjectDoesNotExist, MultipleObjectsReturned from django.core.urlresolvers import reverse from django.shortcuts import get_object_or_404 from django.utils import timezone from django.utils.dates import MONTHS from django.utils.decorators import method_decorator from django.views.decorators.cache import never_cache from django.views.generic import View from cobra.core.loading import get_model, get_class from django.utils.translation import ugettext_lazy as _, ugettext from django.views import generic from cobra.views.generic import ProjectView, OrganizationView from cobra.core.utils import date_from_string, get_datetime_now, get_local_datetime_now from cobra.core.calendar import get_calendar_first_weekday from cobra.core.compat import get_user_model from cobra.core.render import render_to_string User = get_user_model() class SummaryReportView(OrganizationView): def get(self, request, organization, *args, **kwargs): summary_user = get_object_or_404(User, username__iexact=self.kwargs['username']) context = { 'active_nav': 'summary_report', } template_name = 'organization/summary/summary_report.html' return self.respond(template_name, context)

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1,488

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38.153846

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null

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null

0

1

0

1

0

2

39a2f31d1cf9e494a33203842aece56b8a7cc053

241

py

Python

python_to_you/extensions/marshmallow.py

jacksonsr45/python_to_you

f0016e0450f3f2a4ba1f592baff8a9c28ffeaec7

[ "MIT" ]

1

2021-05-11T12:09:00.000Z

python_to_you/extensions/marshmallow.py

jacksonsr45/python_to_you

f0016e0450f3f2a4ba1f592baff8a9c28ffeaec7

[ "MIT" ]

null

python_to_you/extensions/marshmallow.py

jacksonsr45/python_to_you

f0016e0450f3f2a4ba1f592baff8a9c28ffeaec7

[ "MIT" ]

null

from typing import NoReturn from flask_marshmallow import Marshmallow ## # Creating a instance of the Marshmallow in ma # # ma = Marshmallow() ## # Init ma # @param app # @return none # # def init_app(app) -> NoReturn: ma.init_app(app)

16.066667

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15

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0.857143

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0.6

0

null

0

null

0

1

0

1

0

2

39a528d6734e5b105d62292085624f740c4d18b7

783

py

Python

src/scheduler/rpc/ProcessRpcClientService.py

jedicontributors/pythondataintegrator

3e877b367ab9b20185476128ec053db41087879f

[ "MIT" ]

null

src/scheduler/rpc/ProcessRpcClientService.py

jedicontributors/pythondataintegrator

3e877b367ab9b20185476128ec053db41087879f

[ "MIT" ]

null

src/scheduler/rpc/ProcessRpcClientService.py

jedicontributors/pythondataintegrator

3e877b367ab9b20185476128ec053db41087879f

[ "MIT" ]

null

import rpyc from injector import inject from infrastructor.dependency.scopes import IScoped from models.configs.ProcessRpcClientConfig import ProcessRpcClientConfig class ProcessRpcClientService(IScoped): @inject def __init__(self, process_rpc_client_config: ProcessRpcClientConfig, ): self.process_rpc_client_config = process_rpc_client_config def connect_rpc(self): conn = rpyc.connect(self.process_rpc_client_config.host, self.process_rpc_client_config.port) return conn def call_job_start(self, data_operation_id,job_id,data_operation_job_execution_id ): conn = self.connect_rpc() job = conn.root.job_start(data_operation_id,job_id, data_operation_job_execution_id) return job

35.590909

101

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783

5.75

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0.199275

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783

22

102

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null

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null

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1

0

2

39b70d4aba8b1a326038921e81a9f4e1e7248eb3

595

py

Python

bullseyeapp/migrations/0004_auto_20220102_1130.py

theresnotime/bullseye

930fbaf5dcb62cde512c975795b0403c97903ec3

[ "MIT" ]

2

2021-08-23T22:32:56.000Z

2021-09-19T21:47:15.000Z

bullseyeapp/migrations/0004_auto_20220102_1130.py

theresnotime/bullseye

930fbaf5dcb62cde512c975795b0403c97903ec3

[ "MIT" ]

7

2021-08-25T16:47:46.000Z

2022-03-10T04:13:34.000Z

bullseyeapp/migrations/0004_auto_20220102_1130.py

theresnotime/bullseye

930fbaf5dcb62cde512c975795b0403c97903ec3

[ "MIT" ]

3

2021-09-19T16:42:47.000Z

2022-03-02T03:17:38.000Z

# Generated by Django 3.2.6 on 2022-01-02 16:30 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('bullseyeapp', '0003_alter_monthlystats_month'), ] operations = [ migrations.AlterField( model_name='monthlystats', name='month', field=models.DateField(default=datetime.date(2022, 1, 1)), ), migrations.AlterField( model_name='monthlystats', name='name', field=models.CharField(max_length=255), ), ]

23.8

70

0.598319

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595

5.833333

0.65

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0.142857

0.165714

0.257143

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595

24

71

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0

null

0

1

0

1

0

null

0

2

39b95b1be268dd24dc5908667acc61730b0e2c0c

2,557

py

Python

pypress/blog/blueprint/AuthApi.py

klvdan/demos

96fdc5f272da217cf61260fc6d59fb4fde8f3773

[ "MIT" ]

null

pypress/blog/blueprint/AuthApi.py

klvdan/demos

96fdc5f272da217cf61260fc6d59fb4fde8f3773

[ "MIT" ]

null

pypress/blog/blueprint/AuthApi.py

klvdan/demos

96fdc5f272da217cf61260fc6d59fb4fde8f3773

[ "MIT" ]

null

import functools from flask import ( request, g, redirect, url_for, flash, render_template, Blueprint, session ) from werkzeug.security import check_password_hash, generate_password_hash from blog.model import User from blog.db import db_session bp = Blueprint('auth', __name__, url_prefix='/auth') @bp.route('/register', methods=['GET', 'POST']) def register(): if request.method == 'POST': """register""" username = request.form['username'] password = request.form['password'] err = None if not username: err = 'Username is required!' elif not password: err = 'Password is required!' elif db_session.query(User)\ .filter_by(username=username)\ .first() is not None: err = 'User {} is already registered!'.format(username) if err is None: user = User(username=username, password=generate_password_hash(password)) db_session.add(user) db_session.commit() return redirect(url_for('auth.login')) flash(err) return render_template('auth/register.html') @bp.route('/login', methods=['GET','POST']) def login(): if request.method == 'POST': """login""" username = request.form['username'] password = request.form['password'] err = None user = db_session.query(User)\ .filter_by(username=username) \ .first() if not username: err = 'Username is required!' elif not password: err = 'Password is required!' elif user is None: err = 'User {} is not exists!'.format(username) elif not check_password_hash(user.password, password): err = 'Password is incorrect!' if err is None: session.clear() session['uid'] = user.id return redirect(url_for('home')) flash(err) return render_template('auth/login.html') @bp.before_app_request def load_logged_in_user(): uid = session.get('uid') if uid is None: g.user = None else: g.user = db_session.query(User) \ .filter_by(id=uid) \ .first() @bp.route('/logout') def logout(): session.clear() return redirect(url_for('home')) def login_required(fn): @functools.wraps(fn) def wrapper(**kwargs): if not g.user: return redirect(url_for('auth.login')) return fn(**kwargs) return wrapper

26.915789

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2,557

4.902027

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0.274294

0.250861

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0

0.29605

2,557

94

86

27.202128

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0

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1

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false

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0

null

0

1

0

null

0

1

0

2

39bdd3526bf2ddd7e129378c327c33a76b7e1893

675

py

Python

tests/test_basic.py

blue-yonder/cee_syslog_handler

ae46bf37cfc32f71e1bd9be6dfd24266d1779ccb

[ "BSD-3-Clause" ]

7

2015-03-11T09:26:25.000Z

2020-04-10T21:21:33.000Z

tests/test_basic.py

blue-yonder/cee_syslog_handler

ae46bf37cfc32f71e1bd9be6dfd24266d1779ccb

[ "BSD-3-Clause" ]

5

2015-03-05T10:36:25.000Z

2020-10-15T15:00:00.000Z

tests/test_basic.py

blue-yonder/cee_syslog_handler

ae46bf37cfc32f71e1bd9be6dfd24266d1779ccb

[ "BSD-3-Clause" ]

6

2015-03-05T07:50:05.000Z

2020-11-06T09:33:30.000Z

from cee_syslog_handler import get_fields class Record(object): def __init__(self, value=None): if value: self.some_column = value def check_single_value(value): record = Record(value) message_dict = get_fields({}, record) assert message_dict == {"_some_column": value} def test_get_fields_empty(): record = Record() message_dict = get_fields({}, record) assert message_dict == {} def test_string_types(): check_single_value("some_text") check_single_value(u"some_text") check_single_value("1") check_single_value("1.1") def test_numeric_types(): check_single_value(1.1) check_single_value(1)

21.09375

50

0.693333

92

675

4.663043

0.336957

0.179487

0.261072

0.158508

0.438228

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0.197037

675

31

51

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0

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false

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0.333333

0

null

0

1

0

null

0

1

0

2

39e8d5ff18e29806b418aa0a18a2e30af9a0cefa

183

py

Python

coders/curso_python/manipulacao_arquivos/io_v3.py

flaviogf/Cursos

2b120dbcd24a907121f58482fdcdfa01b164872c

[ "MIT" ]

2

2021-02-20T23:50:07.000Z

2021-08-15T03:04:35.000Z

coders/curso_python/manipulacao_arquivos/io_v3.py

flaviogf/Cursos

2b120dbcd24a907121f58482fdcdfa01b164872c

[ "MIT" ]

18

2019-08-07T02:33:00.000Z

2021-03-18T22:52:38.000Z

coders/curso_python/manipulacao_arquivos/io_v3.py

flaviogf/Cursos

2b120dbcd24a907121f58482fdcdfa01b164872c

[ "MIT" ]

2

2020-09-28T13:00:09.000Z

2021-12-30T12:21:08.000Z

#!/usr/local/bin/python3 try: arquivo = open('pessoas.csv') for it in arquivo: print('Nome {}, Idade {}'.format(*it.strip().split(','))) finally: arquivo.close()

20.333333

65

0.584699

23

183

4.652174

0.869565

0

0.006803

0.196721

183

8

66

22.875

0.721088

0.125683

0

0.18239

0

1

0

false

0

0.166667

1

0

null

0

1

0

null

0

2

39ea648c2bf6f784daa33c862d390b68763b3db2

196

py

Python

generator/templates/control/delete.py

wancy86/tornado-seed

bea842f4ba6b23dda53ec9ae9f1349e1d2b54fd3

[ "MIT" ]

null

generator/templates/control/delete.py

wancy86/tornado-seed

bea842f4ba6b23dda53ec9ae9f1349e1d2b54fd3

[ "MIT" ]

null

generator/templates/control/delete.py

wancy86/tornado-seed

bea842f4ba6b23dda53ec9ae9f1349e1d2b54fd3

[ "MIT" ]

null

@authenticated def delete(self): model = self.db.query([model_name]).filter([delete_filter]).first() self.db.delete(model) self.db.commit() return JsonResponse(self, '000')

32.666667

72

0.663265

25

196

5.12

0.56

0.140625

0.171875

0

0.018519

0.173469

196

6

73

32.666667

0.771605

0

0.015625

0

1

0.166667

false

0

0.333333

0

1

0

null

0

1

0

null

0

2

39eef9fe5bd2775cc2099c0d9b3090d6a17144ee

747

py

Python

caffe-dslt/examples/test.py

JHvisionchen/DSLT-matlab

6cf80298d01651085fa27d6bd59fb1f2dd1a0d9e

[ "Apache-2.0" ]

1

2019-03-18T00:30:33.000Z

caffe-dslt/examples/test.py

JHvisionchen/DSLT-matlab

6cf80298d01651085fa27d6bd59fb1f2dd1a0d9e

[ "Apache-2.0" ]

null

caffe-dslt/examples/test.py

JHvisionchen/DSLT-matlab

6cf80298d01651085fa27d6bd59fb1f2dd1a0d9e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Aug 1 22:05:35 2016 @author: luxiankai """ import numpy as np import matplotlib.pyplot as plt #%matplotlib inline # Make sure that caffe is on the python path: caffe_root = '../' # this file is expected to be in {caffe_root}/examples import sys sys.path.insert(0, caffe_root + 'python') import caffe plt.rcParams['figure.figsize'] = (10, 10) plt.rcParams['image.interpolation'] = 'nearest' plt.rcParams['image.cmap'] = 'gray' import os MEAN_FILE=caffe_root+'examples/ResNet/ResNet_mean.binaryproto' mean_blob = caffe.proto.caffe_pb2.BlobProto() mean_blob.ParseFromString(open(MEAN_FILE, 'rb').read()) # 将均值blob转为numpy.array mean_npy = caffe.io.blobproto_to_array(mean_blob) print mean_npy.shape

24.096774

74

0.742972

114

747

4.736842

0.596491

0.066667

0.062963

0

0.027397

0.120482

747

30

75

24.9

0.794521

0.210174

0

0.2

0.075

0

null

0

0.333333

null

0.066667

0

null

0

null

0

1

0

1

0

2

39ef7ba40d7f30468fbf11d748527163a76b9e6e

618

py

Python

uil/vue/views.py

UiL-OTS-labs/django-shared-core

702ca346f1be861108ec70ceed2ed3b99623f0a3

[ "Apache-2.0" ]

null

uil/vue/views.py

UiL-OTS-labs/django-shared-core

702ca346f1be861108ec70ceed2ed3b99623f0a3

[ "Apache-2.0" ]

13

2019-06-25T13:23:30.000Z

2022-02-10T07:00:39.000Z

uil/vue/views.py

UiL-OTS-labs/django-shared-core

702ca346f1be861108ec70ceed2ed3b99623f0a3

[ "Apache-2.0" ]

null

from django.http import HttpResponse from django.views import generic from uil.vue.utils import get_vue_js, get_vue_css class VueJSView(generic.View): def get(self, request, component, *args, **kwargs): from uil.vue.components import Vue c = Vue.get_component(component) return HttpResponse(get_vue_js(c), content_type='text/javascript') class VueCSSView(generic.View): def get(self, request, component, *args, **kwargs): from uil.vue.components import Vue c = Vue.get_component(component) return HttpResponse(get_vue_css(c), content_type='text/css')

24.72

74

0.710356

85

618

5.023529

0.352941

0.056206

0.070258

0.079625

0.58548

0

0.187702

618

24

75

25.75

0.850598

0

0.461538

0

0.037277

0

1

0.153846

false

0

0.384615

0

0.846154

0

null

0

null

0

1

0

1

0

2

f2d1e7ce61a1ea8fbcb06809ca95790f1dffb8fc

1,326

py

Python

index.py

gerroo/python-battleship

cbe4e0ea01fd75d08b15c38cfc7c371da9d43d64

[ "MIT" ]

null

index.py

gerroo/python-battleship

cbe4e0ea01fd75d08b15c38cfc7c371da9d43d64

[ "MIT" ]

null

index.py

gerroo/python-battleship

cbe4e0ea01fd75d08b15c38cfc7c371da9d43d64

[ "MIT" ]

null

print(""" To play multiplayer and become server enter 1 To play multiplayer and connect enter 2 To play with a bot enter 3 """) DEBUG = 1 #For release set this to 0 def dbgPrint(x): if DEBUG: print(x) import socket, threading firstInput = int(input("->")) dbgPrint("First input is {0}".format(firstInput)) if firstInput == 1: multiServer() elif firstInput == 2: multiClient() elif firstInput == 3: bot() def multiServer(): pass def multiClient(): pass def bot(): pass #NOTES: use threading for network interface and ui consider pygame for gui class networkManager: def __init__(self, clientOrServer): dbgPrint("New network manager") def clientGetterLoop(clientsocket): pass def client(self): clientsocket = socket.socket( socket.AF_INET, socket.SOCK_STREAM ) host = port = 15560 try: clientsocket.connect((host,port)) # Connect to h except Exception as e: dbgPrint(e) print("Connection Error") t = threading.Thread(run= clientGetterLoop) message = clientsocket.recv(1024).decode('ascii') # Receive 1024 bytes clientsocket.send(message.encode('ascii')) # Send message clientsocket.close() class uiManager: pass

20.4

78

0.634992

156

1,326

5.358974

0.544872

0.021531

0.04067

0.047847

0

0.02268

0.268477

1,326

64

79

20.71875

0.839175

0.107843

0

0.106383

0

0.151952

0

null

0.106383

0.021277

null

0.06383

0

null

0

null

0

1

0

1

0

2

f2d2d7048037f4259f2e8cc132f0bb1c8f8b52d5

1,331

py

Python

tests/features/notice_eligibility_checker/test_notice_ineligibility.py

meaningfy-ws/ted-xml-2-rdf

ac26a19f3761b7cf79d79a46be6323b658f067eb

[ "Apache-2.0" ]

1

2022-03-21T12:32:52.000Z

tests/features/notice_eligibility_checker/test_notice_ineligibility.py

meaningfy-ws/ted-xml-2-rdf

ac26a19f3761b7cf79d79a46be6323b658f067eb

[ "Apache-2.0" ]

24

2022-02-10T10:43:56.000Z

2022-03-29T12:36:21.000Z

tests/features/notice_eligibility_checker/test_notice_ineligibility.py

meaningfy-ws/ted-sws

d1e351eacb2900f84ec7edc457e49d8202fbaff5

[ "Apache-2.0" ]

null

from pytest_bdd import scenario, given, when, then from ted_sws.core.model.notice import NoticeStatus from ted_sws.metadata_normaliser.services.metadata_normalizer import MetadataNormaliser from ted_sws.notice_eligibility.services.notice_eligibility import notice_eligibility_checker @scenario('test_notice_eligibility_validation_tests.feature', 'not finding validation tests set for a TED XML notice') def test_ineligibility(): """not finding validation tests set for a TED XML notice""" @given("a notice", target_fixture="ineligibility_notice") def step_impl(f18_notice_2022): return f18_notice_2022 @when("checking process is executed", target_fixture="ineligibility_result") def step_impl(ineligibility_notice, notice_storage, mapping_suite_repository_in_file_system): MetadataNormaliser(notice=ineligibility_notice).normalise_metadata() return notice_eligibility_checker(notice=ineligibility_notice, mapping_suite_repository=mapping_suite_repository_in_file_system) @then("validation tests set is not found") def step_impl(ineligibility_result): assert ineligibility_result is None @then("notice status INELIGIBLE_FOR_TRANSFORMATION") def step_impl(ineligibility_notice): assert ineligibility_notice.status == NoticeStatus.INELIGIBLE_FOR_TRANSFORMATION

40.333333

118

0.817431

165

1,331

6.266667

0.357576

0.110251

0.042553

0.069633

0.208897

0.15087

0.085106

0

0.010213

0.117205

1,331

32

119

41.59375

0.869787

0.03982

0

0.198899

0.060535

0

0.1

1

0.25

false

0

0.2

0.05

0.55

0

null

0

null

0

1

0

1

0

2

f2deff557137ac9a00474fc127698a28a55ff990

474

py

Python

scripts/add_trimmed_read_paths.py

jtevns/Metagenomics-Workflow

883a52ae3e245dccff6d5ef883544d52a8b63633

[ "MIT" ]

null

scripts/add_trimmed_read_paths.py

jtevns/Metagenomics-Workflow

883a52ae3e245dccff6d5ef883544d52a8b63633

[ "MIT" ]

15

2021-02-26T08:27:33.000Z

2021-03-15T13:48:12.000Z

scripts/add_trimmed_read_paths.py

jtevns/Metagenomics-Workflow

883a52ae3e245dccff6d5ef883544d52a8b63633

[ "MIT" ]

null

import sys line_count = 0 with open(sys.argv[1]) as f: for line in f: if line_count > 0: split_line = line.strip().split(",") split_line.append("trimmed_reads/"+split_line[0]+"/"+split_line[0]+"_trimmed_R1.fastq") split_line.append("trimmed_reads/"+split_line[0]+"/"+split_line[0]+"_trimmed_R2.fastq") print(",".join(split_line)) else: print(line.strip()) line_count = line_count + 1

31.6

99

0.586498

66

474

3.939394

0.378788

0.276923

0.153846

0.169231

0.415385

0

0.028249

0.253165

474

14

100

33.857143

0.706215

0

0.139241

0

1

0

false

0

0.083333

0

0.083333

0.166667

0

null

1

0

1

0

null

0

2

f2f7368abcbab7dc2aa41aa42c2ef77662f37f29

452

py

Python

projects/signals.py

Ngapa/upkoding

07e235869a94a7a17f37bc064c31ac2628440e58

[ "MIT" ]

null

projects/signals.py

Ngapa/upkoding

07e235869a94a7a17f37bc064c31ac2628440e58

[ "MIT" ]

null

projects/signals.py

Ngapa/upkoding

07e235869a94a7a17f37bc064c31ac2628440e58

[ "MIT" ]

null

from django.db.models.signals import post_save from django.dispatch import receiver from .models import UserProject, UserProjectEvent # @receiver(post_save, sender=UserProject, dispatch_uid='user_project_event') # def create_user_project_event(sender, instance, created, **kwargs): # if created: # print('Project started') # else: # print(instance.requirements) # print(instance._original_values.get('requirements'))

32.285714

77

0.74115

52

452

6.25

0.576923

0.061538

0.098462

0

0.154867

452

13

78

34.769231

0.850785

0.663717

0

1

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true

0

1

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1

0

null

0

null

0

1

0

1

0

2

f2f74bcc02a94518e572b244b6dca65cc9b89550

877

py

Python

src/features/log_transform.py

onurerkin/prohack

51665841de04de4a7d44a3aeacec8e9142110cea

[ "MIT" ]

null

src/features/log_transform.py

onurerkin/prohack

51665841de04de4a7d44a3aeacec8e9142110cea

[ "MIT" ]

null

src/features/log_transform.py

onurerkin/prohack

51665841de04de4a7d44a3aeacec8e9142110cea

[ "MIT" ]

null

# region imports import math import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from scipy.stats import norm from sklearn.model_selection import train_test_split from sklearn.metrics import mean_squared_log_error from sklearn import preprocessing from sklearn.model_selection import cross_val_score, cross_val_predict import lightgbm from sklearn.experimental import enable_iterative_imputer from sklearn.impute import IterativeImputer from src.features.impute_columns import (impute_categorical_columns, impute_numeric_columns) from src.contracts.Dataset import Dataset from src.features.standardize import standardize from src.features.label_encoder import MultiColumnLabelEncoder # endregion def create_log_transform(full_ds, column_name): full_ds[column_name + '_log'] = np.log(full_ds[column_name]+3) return full_ds

30.241379

92

0.849487

126

877

5.68254

0.492063

0.092179

0.062849

0.067039

0.086592

0

0.001279

0.108324

877

29

93

30.241379

0.914322

0.027366

0

0.0047

0

1

0.05

false

0

0.85

0

0.95

0

null

0

null

0

1

0

1

0

2

840e3e92339d6c3635dffee4c74621caca209267

94

py

Python

python_lessons/freecodecamp_python/014_dict_object_d_for_in_print.py

1986MMartin/coding-sections-markus

e13be32e5d83e69250ecfb3c76a04ee48a320607

[ "Apache-2.0" ]

null

python_lessons/freecodecamp_python/014_dict_object_d_for_in_print.py

1986MMartin/coding-sections-markus

e13be32e5d83e69250ecfb3c76a04ee48a320607

[ "Apache-2.0" ]

null

python_lessons/freecodecamp_python/014_dict_object_d_for_in_print.py

1986MMartin/coding-sections-markus

e13be32e5d83e69250ecfb3c76a04ee48a320607

[ "Apache-2.0" ]

null

d = dict() d['quincy'] = 1 d['beau'] = 5 d['kris'] = 9 for (k,i) in d.items(): print(k, i)

15.666667

23

0.478723

20

94

2.25

0.7

0.088889

0

0.041096

0.223404

94

6

24

15.666667

0.575342

0

0.147368

0

1

0

false

0

0.166667

1

0

null

0

1

0

null

0

2

841155db262189fb66615b0ad5b651fc09efa6c0

642

py

Python

src/__init__.py

dxas90/hugtor

5a68f794ede055a4363425d48e4ea87abb9a8e38

[ "Apache-2.0" ]

null

src/__init__.py

dxas90/hugtor

5a68f794ede055a4363425d48e4ea87abb9a8e38

[ "Apache-2.0" ]

null

src/__init__.py

dxas90/hugtor

5a68f794ede055a4363425d48e4ea87abb9a8e38

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import atexit import os from .app import api from .tor import TorController __version__ = '0.0.1' APP_PORT = os.environ.get('APP_PORT', 5055) APP_HIDDEN_SERVICE_PORT = os.environ.get('APP_HIDDEN_SERVICE_PORT', 80) APP_HIDDEN_SERVICE_KEY_PATH = os.environ.get('APP_HIDDEN_SERVICE_KEY_PATH', 'my_service_key') controler = TorController(api, APP_PORT, APP_HIDDEN_SERVICE_PORT, APP_HIDDEN_SERVICE_KEY_PATH) application = controler.__hug_wsgi__ @atexit.register def cleanup(): try: controler.stop() except Exception: pass

24.692308

75

0.672897

83

642

4.783133

0.433735

0.13602

0.241814

0.11335

0.332494

0.141058

0

0.020325

0.233645

642

25

76

25.68

0.786585

0.03271

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0.124394

0.080775

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0.055556

false

0.055556

0.222222

0

0.277778

0

null

0

1

0

null

0

1

0

2

8414120bdc9bf79ac8b36ff738eab5188bd73714

344

py

Python

runoob/basic_tutorial/test.py

zeroonegit/python

919f8bb14ae91e37e42ff08192df24b60135596f

[ "MIT" ]

1

2017-03-30T00:43:40.000Z

runoob/basic_tutorial/test.py

QuinceySun/Python

919f8bb14ae91e37e42ff08192df24b60135596f

[ "MIT" ]

null

runoob/basic_tutorial/test.py

QuinceySun/Python

919f8bb14ae91e37e42ff08192df24b60135596f

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # author by: One Zero # Filename: test.py ## 用户输入数字 #num1 = input('输入第一个数字: ') #num2 = input('输入第二个数字: ') # ## 求和 #sum = float(num1) + float(num2) # ## 显示计算结果 #print('数字 {0} 和 {1} 相加结果为： {2}'.format(num1, num2, sum)) print('两数之和为 %.1f' % (float(input('输入第一个数字： ')) + float(input('输入第二个数字： '))))

20.235294

77

0.584302

48

344

4.1875

0.708333

0.119403

0

0.041379

0.156977

344

16

78

21.5

0.651724

0.68314

0

0.301075

0

1

0

true

0

1

0

null

0

null

0

1

0

1

0

2

844994d390955a1304d9bf7395fcf0cfbf57a3f6

5,217

py

Python

usuarios/migrations/0001_initial.py

mfeduardo/aluguetaxi

488beda92ac19e3d37a8555469b4defebbbf0b34

[ "MIT" ]

null

usuarios/migrations/0001_initial.py

mfeduardo/aluguetaxi

488beda92ac19e3d37a8555469b4defebbbf0b34

[ "MIT" ]

null

usuarios/migrations/0001_initial.py

mfeduardo/aluguetaxi

488beda92ac19e3d37a8555469b4defebbbf0b34

[ "MIT" ]

null

# Generated by Django 3.2.6 on 2021-08-04 21:31 import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.utils.timezone import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0012_alter_user_first_name_max_length'), ] operations = [ migrations.CreateModel( name='Usuario', fields=[ ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), ('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')), ('first_name', models.CharField(blank=True, max_length=150, verbose_name='first name')), ('last_name', models.CharField(blank=True, max_length=150, verbose_name='last name')), ('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')), ('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')), ('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')), ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('nome', models.CharField(max_length=255)), ('sobrenome', models.CharField(blank=True, max_length=255, null=True)), ('email', models.CharField(max_length=255, unique=True)), ('telefone', models.CharField(blank=True, max_length=255, null=True)), ('telefone2', models.CharField(blank=True, max_length=255, null=True)), ('cpf', models.CharField(blank=True, max_length=255, null=True)), ('licenca', models.CharField(blank=True, max_length=255, null=True)), ('foto', models.CharField(blank=True, max_length=255, null=True)), ('data_nascimento', models.DateField(blank=True, null=True)), ('tipo_pessoa', models.CharField(blank=True, max_length=255, null=True)), ('categoria', models.CharField(blank=True, max_length=255, null=True)), ('password', models.CharField(blank=True, max_length=255, null=True)), ('admin', models.BooleanField(blank=True, null=True)), ('nivel', models.IntegerField(blank=True, null=True)), ('slug', models.CharField(blank=True, max_length=255, null=True)), ('endereco', models.CharField(blank=True, max_length=255, null=True)), ('cidade', models.CharField(blank=True, max_length=255, null=True)), ('cidade_id', models.CharField(blank=True, max_length=255, null=True)), ('uf_id', models.CharField(blank=True, max_length=255, null=True)), ('uf', models.CharField(blank=True, max_length=255, null=True)), ('uf_nome', models.CharField(blank=True, max_length=255, null=True)), ('promo', models.BooleanField(blank=True, null=True)), ('promo_extra', models.CharField(blank=True, max_length=255, null=True)), ('contagem_anuncios', models.IntegerField(blank=True, null=True)), ('lista_automoveis', models.CharField(blank=True, max_length=255, null=True)), ('newsletter', models.BooleanField(blank=True, null=True)), ('sobre', models.CharField(blank=True, max_length=255, null=True)), ('zap', models.CharField(blank=True, max_length=255, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('deleted_at', models.DateTimeField(blank=True, null=True)), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')), ], options={ 'verbose_name': 'user', 'verbose_name_plural': 'users', 'abstract': False, }, managers=[ ('objects', django.contrib.auth.models.UserManager()), ], ), ]

69.56

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0.634081

599

5,217

5.383973

0.283806

0.089302

0.136434

0.163721

0.502636

0.468527

0.368372

0.338605

0.133953

0

0.02442

0.222925

5,217

74

330

70.5

0.77109

0.008626

0

0.029851

1

0

0.209671

0.007157

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1

0

false

0.014925

0.074627

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0.134328

0

null

0

1

0

1

0

null

0

2

846144bdce5626421043fe97eb46424bccb50cba

5,567

py

Python

_gen.py

vgarvardt/x11colors-go

85d93120298e9bffe7827abbdfb8318855c0f397

[ "MIT" ]

1

2021-02-27T14:47:10.000Z

_gen.py

vgarvardt/x11colors-go

85d93120298e9bffe7827abbdfb8318855c0f397

[ "MIT" ]

null

_gen.py

vgarvardt/x11colors-go

85d93120298e9bffe7827abbdfb8318855c0f397

[ "MIT" ]

null

from collections import OrderedDict # values copied from the # https://ru.wikipedia.org/wiki/%D0%A1%D0%BF%D0%B8%D1%81%D0%BE%D0%BA_%D1%86%D0%B2%D0%B5%D1%82%D0%BE%D0%B2_%D0%B2_X11#%D0%A1%D0%BF%D0%B8%D1%81%D0%BE%D0%BA_%D1%86%D0%B2%D0%B5%D1%82%D0%BE%D0%B2_[2] raw = """ Alice Blue #F0F8FF 240 248 255 Antique White #FAEBD7 250 235 215 Aqua #00FFFF 0 255 255 Aquamarine #7FFFD4 127 255 212 Azure #F0FFFF 240 255 255 Beige #F5F5DC 245 245 220 Bisque #FFE4C4 255 228 196 Black #000000 0 0 0 Blanched Almond #FFEBCD 255 235 205 Blue #0000FF 0 0 255 Blue Violet #8A2BE2 138 43 226 Brown #A52A2A 165 42 42 Burlywood #DEB887 222 184 135 Cadet Blue #5F9EA0 95 158 160 Chartreuse #7FFF00 127 255 0 Chocolate #D2691E 210 105 30 Coral #FF7F50 255 127 80 Cornflower #6495ED 100 149 237 Cornsilk #FFF8DC 255 248 220 Crimson #DC143C 220 20 60 Cyan #00FFFF 0 255 255 Dark Blue #00008B 0 0 139 Dark Cyan #008B8B 0 139 139 Dark Goldenrod #B8860B 184 134 11 Dark Gray #A9A9A9 169 169 169 Dark Green #006400 0 100 0 Dark Khaki #BDB76B 189 183 107 Dark Magenta #8B008B 139 0 139 Dark Olive Green #556B2F 85 107 47 Dark Orange #FF8C00 255 140 0 Dark Orchid #9932CC 153 50 204 Dark Red #8B0000 139 0 0 Dark Salmon #E9967A 233 150 122 Dark Sea Green #8FBC8F 143 188 143 Dark Slate Blue #483D8B 72 61 139 Dark Slate Gray #2F4F4F 47 79 79 Dark Turquoise #00CED1 0 206 209 Dark Violet #9400D3 148 0 211 Deep Pink #FF1493 255 20 147 Deep Sky Blue #00BFFF 0 191 255 Dim Gray #696969 105 105 105 Dodger Blue #1E90FF 30 144 255 Firebrick #B22222 178 34 34 Floral White #FFFAF0 255 250 240 Forest Green #228B22 34 139 34 Fuchsia #FF00FF 255 0 255 Gainsboro #DCDCDC 220 220 220 Ghost White #F8F8FF 248 248 255 Gold #FFD700 255 215 0 Goldenrod #DAA520 218 165 32 Gray (X11) #BEBEBE 190 190 190 Gray (W3C) #7F7F7F 127 127 127 Green (X11) #00FF00 0 255 0 Green (W3C) #007F00 0 127 0 Green Yellow #ADFF2F 173 255 47 Honeydew #F0FFF0 240 255 240 Hot Pink #FF69B4 255 105 180 Indian Red #CD5C5C 205 92 92 Indigo #4B0082 75 0 130 Ivory #FFFFF0 255 255 240 Khaki #F0E68C 240 230 140 Lavender #E6E6FA 230 230 250 Lavender Blush #FFF0F5 255 240 245 Lawn Green #7CFC00 124 252 0 Lemon Chiffon #FFFACD 255 250 205 Light Blue #ADD8E6 173 216 230 Light Coral #F08080 240 128 128 Light Cyan #E0FFFF 224 255 255 Light Goldenrod #FAFAD2 250 250 210 Light Gray #D3D3D3 211 211 211 Light Green #90EE90 144 238 144 Light Pink #FFB6C1 255 182 193 Light Salmon #FFA07A 255 160 122 Light Sea Green #20B2AA 32 178 170 Light Sky Blue #87CEFA 135 206 250 Light Slate Gray #778899 119 136 153 Light Steel Blue #B0C4DE 176 196 222 Light Yellow #FFFFE0 255 255 224 Lime #00FF00 0 255 0 Lime Green #32CD32 50 205 50 Linen #FAF0E6 250 240 230 Magenta #FF00FF 255 0 255 Maroon (X11) #B03060 176 48 96 Maroon (W3C) #7F0000 127 0 0 Medium Aquamarine #66CDAA 102 205 170 Medium Blue #0000CD 0 0 205 Medium Orchid #BA55D3 186 85 211 Medium Purple #9370DB 147 112 219 Medium Sea Green #3CB371 60 179 113 Medium Slate Blue #7B68EE 123 104 238 Medium Spring Green #00FA9A 0 250 154 Medium Turquoise #48D1CC 72 209 204 Medium Violet Red #C71585 199 21 133 Midnight Blue #191970 25 25 112 Mint Cream #F5FFFA 245 255 250 Misty Rose #FFE4E1 255 228 225 Moccasin #FFE4B5 255 228 181 Navajo White #FFDEAD 255 222 173 Navy #000080 0 0 128 Old Lace #FDF5E6 253 245 230 Olive #808000 128 128 0 Olive Drab #6B8E23 107 142 35 Orange #FFA500 255 165 0 Orange Red #FF4500 255 69 0 Orchid #DA70D6 218 112 214 Pale Goldenrod #EEE8AA 238 232 170 Pale Green #98FB98 152 251 152 Pale Turquoise #AFEEEE 175 238 238 Pale Violet Red #DB7093 219 112 147 Papaya Whip #FFEFD5 255 239 213 Peach Puff #FFDAB9 255 218 185 Peru #CD853F 205 133 63 Pink #FFC0CB 255 192 203 Plum #DDA0DD 221 160 221 Powder Blue #B0E0E6 176 224 230 Purple (X11) #A020F0 160 32 240 Purple (W3C) #7F007F 127 0 127 Red #FF0000 255 0 0 Rosy Brown #BC8F8F 188 143 143 Royal Blue #4169E1 65 105 225 Saddle Brown #8B4513 139 69 19 Salmon #FA8072 250 128 114 Sandy Brown #F4A460 244 164 96 Sea Green #2E8B57 46 139 87 Seashell #FFF5EE 255 245 238 Sienna #A0522D 160 82 45 Silver #C0C0C0 192 192 192 Sky Blue #87CEEB 135 206 235 Slate Blue #6A5ACD 106 90 205 Slate Gray #708090 112 128 144 Snow #FFFAFA 255 250 250 Spring Green #00FF7F 0 255 127 Steel Blue #4682B4 70 130 180 Tan #D2B48C 210 180 140 Teal #008080 0 128 128 Thistle #D8BFD8 216 191 216 Tomato #FF6347 255 99 71 Turquoise #40E0D0 64 224 208 Violet #EE82EE 238 130 238 Wheat #F5DEB3 245 222 179 White #FFFFFF 255 255 255 White Smoke #F5F5F5 245 245 245 Yellow #FFFF00 255 255 0 Yellow Green #9ACD32 154 205 50 """ var_names = [] name_vars = OrderedDict() for line in raw.splitlines(): line = line.strip() if len(line) < 1: continue name, color_def = line.split('#') var_name = name.strip().replace(' ', '', 10).replace('\t', '').replace('(', '').replace(')', '') color_name = name.strip() var_names.append(var_name) name_vars[color_name] = var_name print('{0} = X11Color{{"{1}", color.RGBA{{0x{2}, 0x{3}, 0x{4}, 0xFF}}, true}}'.format( var_name, color_name, color_def[0:2], color_def[2:4], color_def[4:6], )) print('\n\n' + ',\n'.join(var_names) + '\n\n') for color_name, var_name in name_vars.items(): print('"{0}": {1},'.format(color_name, var_name))

31.275281

194

0.697862

997

5,567

3.870612

0.437312

0.013993

0.006219

0.012438

0.024877

0

0.387798

0.231543

5,567

177

195

31.451977

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0

0.005952

0.871565

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0

null

0

1

0

1

0

null

0

2

ffc2c95e6d728e1551ee721307f15b771cba1ac7

5,156

py

Python

sdk/python/pulumi_aws/ec2/eip_association.py

Charliekenney23/pulumi-aws

55bd0390160d27350b297834026fee52114a2d41

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

null

sdk/python/pulumi_aws/ec2/eip_association.py

Charliekenney23/pulumi-aws

55bd0390160d27350b297834026fee52114a2d41

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

null

sdk/python/pulumi_aws/ec2/eip_association.py

Charliekenney23/pulumi-aws

55bd0390160d27350b297834026fee52114a2d41

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

1

2021-03-08T15:05:29.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import json import warnings import pulumi import pulumi.runtime from .. import utilities, tables class EipAssociation(pulumi.CustomResource): allocation_id: pulumi.Output[str] """ The allocation ID. This is required for EC2-VPC. """ allow_reassociation: pulumi.Output[bool] """ Whether to allow an Elastic IP to be re-associated. Defaults to `true` in VPC. """ instance_id: pulumi.Output[str] """ The ID of the instance. This is required for EC2-Classic. For EC2-VPC, you can specify either the instance ID or the network interface ID, but not both. The operation fails if you specify an instance ID unless exactly one network interface is attached. """ network_interface_id: pulumi.Output[str] """ The ID of the network interface. If the instance has more than one network interface, you must specify a network interface ID. """ private_ip_address: pulumi.Output[str] """ The primary or secondary private IP address to associate with the Elastic IP address. If no private IP address is specified, the Elastic IP address is associated with the primary private IP address. """ public_ip: pulumi.Output[str] """ The Elastic IP address. This is required for EC2-Classic. """ def __init__(__self__, resource_name, opts=None, allocation_id=None, allow_reassociation=None, instance_id=None, network_interface_id=None, private_ip_address=None, public_ip=None, __name__=None, __opts__=None): """ Provides an AWS EIP Association as a top level resource, to associate and disassociate Elastic IPs from AWS Instances and Network Interfaces. > **NOTE:** Do not use this resource to associate an EIP to `aws_lb` or `aws_nat_gateway` resources. Instead use the `allocation_id` available in those resources to allow AWS to manage the association, otherwise you will see `AuthFailure` errors. > **NOTE:** `aws_eip_association` is useful in scenarios where EIPs are either pre-existing or distributed to customers or users and therefore cannot be changed. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] allocation_id: The allocation ID. This is required for EC2-VPC. :param pulumi.Input[bool] allow_reassociation: Whether to allow an Elastic IP to be re-associated. Defaults to `true` in VPC. :param pulumi.Input[str] instance_id: The ID of the instance. This is required for EC2-Classic. For EC2-VPC, you can specify either the instance ID or the network interface ID, but not both. The operation fails if you specify an instance ID unless exactly one network interface is attached. :param pulumi.Input[str] network_interface_id: The ID of the network interface. If the instance has more than one network interface, you must specify a network interface ID. :param pulumi.Input[str] private_ip_address: The primary or secondary private IP address to associate with the Elastic IP address. If no private IP address is specified, the Elastic IP address is associated with the primary private IP address. :param pulumi.Input[str] public_ip: The Elastic IP address. This is required for EC2-Classic. """ if __name__ is not None: warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning) resource_name = __name__ if __opts__ is not None: warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning) opts = __opts__ if not resource_name: raise TypeError('Missing resource name argument (for URN creation)') if not isinstance(resource_name, str): raise TypeError('Expected resource name to be a string') if opts and not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') __props__ = dict() __props__['allocation_id'] = allocation_id __props__['allow_reassociation'] = allow_reassociation __props__['instance_id'] = instance_id __props__['network_interface_id'] = network_interface_id __props__['private_ip_address'] = private_ip_address __props__['public_ip'] = public_ip super(EipAssociation, __self__).__init__( 'aws:ec2/eipAssociation:EipAssociation', resource_name, __props__, opts) def translate_output_property(self, prop): return tables._CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop def translate_input_property(self, prop): return tables._SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop

45.628319

254

0.688712

684

5,156

4.97807

0.241228

0.044934

0.051689

0.029956

0.424376

0.401762

0.38884

0.358884

0.336564

0

0.002569

0.245151

5,156

112

255

46.035714

0.872302

0.373739

0

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false

0.073171

0.121951

0.04878

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null

0

1

0

2

ffcbfe97907f424e285cc650c8aa8ed2f05983a3

487

py

Python

imploder/core.py

eabderh/imploder

d489b4f34a219e673cd356028db8866a992ee8bc

[ "MIT" ]

null

imploder/core.py

eabderh/imploder

d489b4f34a219e673cd356028db8866a992ee8bc

[ "MIT" ]

null

imploder/core.py

eabderh/imploder

d489b4f34a219e673cd356028db8866a992ee8bc

[ "MIT" ]

null

import sys import importlib from exporter import Export globalize = Export().top() def implode(): for module in sys.modules.values(): items = module.__dict__.items() if ('__IMPLODE__', True) in items: print('IMPLODE - ' + module.__name__) if module.__spec__ is not None: importlib.reload(module) globalize.module(module) def impload(module): importlib.reload(module) globalize.module(module)

18.037037

49

0.620123

53

487

5.396226

0.509434

0.104895

0.146853

0.20979

0.293706

0

0.279261

487

26

50

18.730769

0.814815

0

0.266667

0

0.043659

0

1

0.133333

false

0

0.333333

0

0.466667

0.066667

0

null

0

1

0

null

0

1

0

2

083b3f134da977d1bba29fd500e957877e4abc03

690

py

Python

net/wyun/tests/prep/test_excel2DB.py

michaelyin/im2markup-prep

0613e4f77f1b50084a85e5c0b1511c9ae007211d

[ "Apache-2.0" ]

3

2018-04-19T13:51:33.000Z

2020-10-04T12:35:50.000Z

net/wyun/tests/prep/test_excel2DB.py

michaelyin/im2markup-prep

0613e4f77f1b50084a85e5c0b1511c9ae007211d

[ "Apache-2.0" ]

null

net/wyun/tests/prep/test_excel2DB.py

michaelyin/im2markup-prep

0613e4f77f1b50084a85e5c0b1511c9ae007211d

[ "Apache-2.0" ]

1

2018-11-22T08:44:11.000Z

from unittest import TestCase from net.wyun.mer.prep.dbbatch import DBBatch from net.wyun.mer.prep.xlsx2db import Excel2DB from net.wyun.mer.ink.scg import Scg class TestExcel2DB(TestCase): def setUp(self): dbhost, dbuser, dbpass, dbname = 'localhost', 'hope', 'hope', 'equation' dbbatch = DBBatch(dbhost, dbuser, dbpass, dbname) self.excel2db = Excel2DB(dbbatch, 'data/xlsx/hw_record.xlsx') def test_saveScg2db(self): self.excel2db.saveRow2db(1) def test_saveAllScgs(self): nrow = self.excel2db.excel.get_row_number() for i in range(1, nrow): print 'processing row: ', i self.excel2db.saveRow2db(i)

30

80

0.673913

90

690

5.111111

0.5

0.104348

0.071739

0.091304

0.078261

0

0.023985

0.214493

690

22

81

31.363636

0.824723

0

0.094477

0.034884

0

null

0.125

0.25

null

0.0625

0

null

0

null

0

1

0

1

0

2

083eee1ace087ebaa042da41d50c63e755596d67

413

py

Python

1º Semestre/Aula 06 - 24_09/Estrutura encadeadas.py

thaistlsantos/Python-FIT

2467a4af0083bdae6233a1a6a4af0e6310f3b9c3

[ "MIT" ]

null

1º Semestre/Aula 06 - 24_09/Estrutura encadeadas.py

thaistlsantos/Python-FIT

2467a4af0083bdae6233a1a6a4af0e6310f3b9c3

[ "MIT" ]

null

1º Semestre/Aula 06 - 24_09/Estrutura encadeadas.py

thaistlsantos/Python-FIT

2467a4af0083bdae6233a1a6a4af0e6310f3b9c3

[ "MIT" ]

null

#Estrutuas encadeadas 0 1 2 if opcao == 1: #dar 10 % de desconto else: #sei que não é 1 if opcao == 2: #dar 5 % de desconto else: #sei que não é 1 e nem 2 if opcao == 3: #preço normal em 2x else: #sei que não 1, nem 2 e nem 3 #cobrar 10% de juros #e parcelar em 3x # exibis o valor da compra e numero de vezes

19.666667

44

0.508475

68

413

3.088235

0.514706

0.1

0.142857

0.185714

0.238095

0

0.080508

0.428571

413

20

45

20.65

0.809322

0.535109

0

0.428571

0

null

0

null

0

null

0

1

0

null

0

1

0

2

0849c93798ade1973ea0b405190781c91677b605

448

py

Python

basepair/helpers/set_filter.py

basepair/basepair-python

ce0e9a549e8eede9e55dc47a36ed4e9532607cff

[ "MIT" ]

2

2015-09-14T00:45:45.000Z

2021-08-13T16:45:25.000Z

basepair/helpers/set_filter.py

basepair/basepair-python

ce0e9a549e8eede9e55dc47a36ed4e9532607cff

[ "MIT" ]

12

2020-07-22T19:09:56.000Z

2022-01-20T16:35:43.000Z

basepair/helpers/set_filter.py

basepair/basepair-python

ce0e9a549e8eede9e55dc47a36ed4e9532607cff

[ "MIT" ]

1

2022-02-23T15:27:31.000Z

'''Helper to filter sets of data''' class SetFilter: '''Helper class to filter list''' @staticmethod def diff(a_set, b_set): '''Filter by not intersection''' return not set(b_set).intersection(set(a_set)) @staticmethod def exact(a_set, b_set): '''Filter by eq''' return set(a_set) == set(b_set) @staticmethod def subset(a_set, b_set): '''Filter by intersection''' return set(a_set).intersection(set(b_set))

23.578947

50

0.662946

68

448

4.191176

0.323529

0.084211

0.147368

0.084211

0.168421

0

0.189732

448

18

51

24.888889

0.785124

0.267857

0

0.3

0

1

0.3

false

0

0.7

0

null

0

null

0

1

0

1

0

2

f22ad9067ec91eec68569a0a6e271319d8bbd0d2

898

py

Python

flake8_useless_assert/patch_const.py

decorator-factory/flake8-useless-assert

6bdf6d2738dafe19863977d4c81614baa4c4dc8a

[ "MIT" ]

2

2021-11-24T22:05:24.000Z

2021-11-25T00:20:06.000Z

flake8_useless_assert/patch_const.py

decorator-factory/flake8-useless-assert

6bdf6d2738dafe19863977d4c81614baa4c4dc8a

[ "MIT" ]

2

2021-11-25T19:35:14.000Z

2021-11-25T19:38:07.000Z

flake8_useless_assert/patch_const.py

decorator-factory/flake8-useless-assert

6bdf6d2738dafe19863977d4c81614baa4c4dc8a

[ "MIT" ]

null

import ast class LegacyConstantRewriter(ast.NodeTransformer): """ Transformer that replaces deprecated constant nodes (Str, Num, NameConstant, Ellipsis) with Constant. """ def visit_Str(self, node: ast.Str) -> ast.AST: const_node = ast.Constant(value=node.s) ast.copy_location(const_node, node) return const_node def visit_Num(self, node: ast.Num) -> ast.AST: const_node = ast.Constant(value=node.n) ast.copy_location(const_node, node) return const_node def visit_NameConstant(self, node: ast.NameConstant) -> ast.AST: const_node = ast.Constant(value=node.value) ast.copy_location(const_node, node) return const_node def visit_Ellipsis(self, node: ast.Ellipsis) -> ast.AST: const_node = ast.Constant(value=...) ast.copy_location(const_node, node) return const_node

32.071429

68

0.669265

116

898

5.008621

0.232759

0.185886

0.075732

0.10327

0.580034

0.535284

0.354561

0

0.226058

898

27

69

33.259259

0.835971

0.112472

0

0.444444

0

1

0.222222

false

0

0.055556

0

0.555556

0

null

0

null

0

1

0

1

0

2

f22fefbf51ffa31fed267bc5a706ef87e8681c06

814

py

Python

deploy/workflow/abstract_workflow.py

bigdatalab/movingdata

9e51a54b9c601fa8fd55a571d28beb66fcca9def

[ "MIT" ]

1

2017-01-19T22:54:22.000Z

deploy/workflow/abstract_workflow.py

bigdatalab/movingdata

9e51a54b9c601fa8fd55a571d28beb66fcca9def

[ "MIT" ]

null

deploy/workflow/abstract_workflow.py

bigdatalab/movingdata

9e51a54b9c601fa8fd55a571d28beb66fcca9def

[ "MIT" ]

null

# # Represents an abstract workflow # # Copyright (c) 2013 by Michael Luckeneder # from abc import ABCMeta, abstractmethod class AbstractWorkflow(object): """Represents an abstract workflow""" __metaclass__ = ABCMeta def __init__(self): """Initialize workflow""" self.conn = None def set_connection(self, conn): """Inject connection""" self.conn = conn @abstractmethod def init(self, conn): """Initialize workflow""" return @abstractmethod def run(self, conn): """Execute the workflow""" return @abstractmethod def get_endpoints(self): """Extract workflow endpoint URLs""" return @abstractmethod def get_workflow_hosts(self): """Extract workflow hosts""" return

20.35

44

0.620393

79

814

6.240506

0.481013

0.081136

0.139959

0.11359

0

0.006803

0.277641

814

39

45

20.871795

0.831633

0.292383

0

0.421053

0

1

0.315789

false

0

0.052632

0

0.684211

0

null

0

null

0

1

0

1

0

2

f24fa38642e830cc450e765faa49b32d49427b29

1,233

py

Python

Hackerrank/DP/temp.py

khaleeque-ansari/Online-Coding-Problems-Solutions-Python

c8378ccad88ce5f50239f82cf9569344e1b92f18

[ "Apache-2.0" ]

null

Hackerrank/DP/temp.py

khaleeque-ansari/Online-Coding-Problems-Solutions-Python

c8378ccad88ce5f50239f82cf9569344e1b92f18

[ "Apache-2.0" ]

null

Hackerrank/DP/temp.py

khaleeque-ansari/Online-Coding-Problems-Solutions-Python

c8378ccad88ce5f50239f82cf9569344e1b92f18

[ "Apache-2.0" ]

null

stop = False ans = 0 prev = 0 curr = 0 while not stop:#stop when decreasing sequence or only one element left def get_shr_pric(i): if i < 0 or i > n-1: return 0 return shr[i] #find peaks peaks = [] for j in xrange(n): if get_shr_pric(j) >= get_shr_pric(j-1) and get_shr_pric(j) > get_shr_pric(j+1): peaks.append(j) curr = peaks.index(max(shr[prev:])) s = 0 for n in xrange(prev,curr): s += shr[n] ans += (curr - prev)*shr[curr] - s prev = curr + 1 if (shr[prev:]) == sorted((shr[prev:]),reverse=True): stop = True inc_peaks = [] l = len(peaks) if l > 1: for k in xrange(l-1): if shr[peaks[k]] > shr[peaks[k+1]]: inc_peaks.append(peaks[k]) inc_peaks.append(peaks[l-1]) else: inc_peaks = peaks print ans

23.711538

93

0.378751

143

1,233

3.167832

0.314685

0.066225

0.110375

0.09713

0.101545

0

0.023769

0.522303

1,233

51

94

24.176471

0.745331

0.052717

0

null

0

null

0.032258

0

null

0

1

0

null

0

1

0

2

f25dccb0e12ebddb8fc49190e7d6a5b34ace1f74

1,188

py

Python

jumpmaplist/route.py

jsza/jump-map-list

7db4a9ef7031dede6ad382cc0a4c9061cd544a16

[ "MIT" ]

null

jumpmaplist/route.py

jsza/jump-map-list

7db4a9ef7031dede6ad382cc0a4c9061cd544a16

[ "MIT" ]

null

jumpmaplist/route.py

jsza/jump-map-list

7db4a9ef7031dede6ad382cc0a4c9061cd544a16

[ "MIT" ]

null

from txspinneret import query as q from jumpmaplist.constants.tf2 import JUMP_CLASSES from jumpmaplist.constants.tiers import VALID_TIERS from jumpmaplist.constants.mediatype import MEDIA_TYPES def JumpClass(name, base=10, encoding=None): """ Match a jump class index route parameter. See `txpinneret.query.Integer`. """ def _match(request, value): value = q.Integer(value, base, encoding) if value in JUMP_CLASSES: return name, value return name, None return _match def MapTier(name, base=10, encoding=None): """ Match a map tier route parameter. See `txpinneret.query.Integer`. """ def _match(request, value): value = q.Integer(value, base, encoding) if value in VALID_TIERS: return name, value return name, None return _match def MediaType(name, base=10, encoding=None): """ Match a media type route parameter. See `txpinneret.query.Integer`. """ def _match(request, value): value = q.Integer(value, base, encoding) if value in MEDIA_TYPES: return name, value return name, None return _match

23.294118

55

0.649832

148

1,188

5.135135

0.277027

0.078947

0.094737

0.071053

0.663158

0.552632

0.5

0.386842

0

0.008009

0.26431

1,188

50

56

23.76

0.861556

0.176768

0

0.6

0

1

0.24

false

0

0.16

0

0.76

0

null

0

null

0

1

0

1

0

2

f27e1b74ec450f73b5634ab48425f8f84c5e1fed

285

py

Python

TWITOFF/tempCodeRunnerFile.py

zwarshavsky/DS8_twitoff

ac2ce2b245aca17aca7e4bdb69a9a93b0906af23

[ "MIT" ]

null

TWITOFF/tempCodeRunnerFile.py

zwarshavsky/DS8_twitoff

ac2ce2b245aca17aca7e4bdb69a9a93b0906af23

[ "MIT" ]

5

2021-06-02T00:49:41.000Z

2022-03-12T00:10:16.000Z

TWITOFF/tempCodeRunnerFile.py

zwarshavsky/DS8_twitoff

ac2ce2b245aca17aca7e4bdb69a9a93b0906af23

[ "MIT" ]

null

from decouple import config from dotenv import load_dotenv from flask import Flask, render_template, request from .models import DB, User from .predict import predict_user from .twitter import add_or_update_user #now we make a app factory def create_app(): app = Flask(__name__)

23.75

49

0.8

45

285

4.822222

0.6

0.073733

0

0.154386

285

12

50

23.75

0.900415

0.087719

0

1

0.125

false

0

0.75

0

0.875

0

null

0

null

0

1

0

1

0

2

f28fdef84e31a8fe0fbecc9f4fc1c37a02b05424

1,247

py

Python

migrations/versions/ad076ac6931b_add_meeting_to_motion_vote.py

louking/members

ee204211812e00945f9e2b09cfa130cc9d3e6558

[ "Apache-2.0" ]

1

2020-12-07T02:52:01.000Z

migrations/versions/ad076ac6931b_add_meeting_to_motion_vote.py

louking/members

ee204211812e00945f9e2b09cfa130cc9d3e6558

[ "Apache-2.0" ]

496

2020-02-12T15:48:26.000Z

2022-03-23T11:17:27.000Z

migrations/versions/ad076ac6931b_add_meeting_to_motion_vote.py

louking/members

ee204211812e00945f9e2b09cfa130cc9d3e6558

[ "Apache-2.0" ]

null

"""add meeting to motion vote Revision ID: ad076ac6931b Revises: 26ae315ec30d Create Date: 2020-07-24 15:43:55.472692 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'ad076ac6931b' down_revision = '26ae315ec30d' branch_labels = None depends_on = None def upgrade(engine_name): globals()["upgrade_%s" % engine_name]() def downgrade(engine_name): globals()["downgrade_%s" % engine_name]() def upgrade_(): # ### commands auto generated by Alembic - please adjust! ### op.add_column('motionvote', sa.Column('meeting_id', sa.Integer(), nullable=True)) op.create_foreign_key(None, 'motionvote', 'meeting', ['meeting_id'], ['id']) # ### end Alembic commands ### def downgrade_(): # ### commands auto generated by Alembic - please adjust! ### op.drop_constraint(None, 'motionvote', type_='foreignkey') op.drop_column('motionvote', 'meeting_id') # ### end Alembic commands ### def upgrade_users(): # ### commands auto generated by Alembic - please adjust! ### pass # ### end Alembic commands ### def downgrade_users(): # ### commands auto generated by Alembic - please adjust! ### pass # ### end Alembic commands ###

22.672727

85

0.672815

148

1,247

5.52027

0.412162

0.05508

0.102815

0.112607

0.358629

0.276622

0.168911

0

0.047059

0.182037

1,247

54

86

23.092593

0.753922

0.370489

0

0.1

0

0.187761

0

1

0.3

false

0.1

0

0.4

0

null

0

null

0

1

0

1

0

2

f299376d21a5c231262bf1475d727066f6e2c08e

3,996

py

Python

src/dockerblade/exceptions.py

ChrisTimperley/dockerblade

2be99bb9b2919ac87831879e04d6739d6967a8f3

[ "Apache-2.0" ]

1

2020-06-27T23:21:00.000Z

src/dockerblade/exceptions.py

ChrisTimperley/dockerblade

2be99bb9b2919ac87831879e04d6739d6967a8f3

[ "Apache-2.0" ]

66

2019-10-12T22:20:49.000Z

2021-12-08T20:15:28.000Z

src/dockerblade/exceptions.py

ChrisTimperley/dockerblade

2be99bb9b2919ac87831879e04d6739d6967a8f3

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import typing as _t import attr as _attr import subprocess as _subprocess class DockerBladeException(Exception): """Used by all exceptions that are thrown by DockerBlade.""" @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class UnexpectedError(DockerBladeException): """An unexpected error occurred during an operation.""" description: str error: _t.Optional['CalledProcessError'] = _attr.ib(default=None) def __str__(self) -> str: msg = f"An unexpected error occurred: {self.description}" if self.error: msg += f' ({self.error})' return msg @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class EnvNotFoundError(DockerBladeException): """No environment variable was found with the given name.""" name: str def __str__(self) -> str: return f"No environment variable found with name: {self.name}" @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class CopyFailed(DockerBladeException): """A copy operation failed unexpectedly.""" reason: str def __str__(self) -> str: return f'Copy operation failed: {self.reason}' @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class IsADirectoryError(DockerBladeException): """The given path is a directory but a file was expected.""" path: str def __str__(self) -> str: return f'Directory exists at path where file is expected: {self.path}' @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class DirectoryNotEmpty(DockerBladeException): """A given directory is not empty.""" path: str def __str__(self) -> str: return f'Directory is not empty: {self.path}' @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class IsNotADirectoryError(DockerBladeException): """The given path is not a directory.""" path: str def __str__(self) -> str: return f'Directory was expected at path: {self.path}' @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class HostFileNotFound(DockerBladeException): """No file was found at a given path on the host machine.""" path: str def __str__(self) -> str: return f'File not found [{self.path}] on host machine' @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class ContainerFileNotFound(DockerBladeException): """No file was found at a given path in a container.""" container_id: str path: str def __str__(self) -> str: return (f'File not found [{self.path}] ' f'in container [{self.container_id}]') @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class ContainerFileAlreadyExists(DockerBladeException): """A file already exists at a given path inside a container.""" container_id: str path: str def __str__(self) -> str: return (f'File already exists [{self.path}] ' f'in container [{self.container_id}]') @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class CalledProcessError(DockerBladeException, _subprocess.CalledProcessError): """Thrown when a process produces a non-zero return code. Attributes ---------- cmd: str The command that was used to launch the process. returncode: int The returncode that was produced by the process. duration: float The number of seconds that elapsed before the process terminated. output: T, optional The output, if any, that was produced by the process. """ cmd: str returncode: int duration: float output: _t.Optional[_t.Union[str, bytes]] @_attr.s(frozen=True, auto_exc=True, auto_attribs=True) class TimeoutExpired(DockerBladeException, _subprocess.TimeoutExpired): """Thrown when a timeout expires while waiting for a process. Attributes ---------- cmd: str The command that was used to launch the process. timeout: float The timeout in seconds. """ cmd: str timeout: float

29.820896

79

0.685185

522

3,996

5.088123

0.227969

0.066265

0.045557

0.062123

0.467997

0.442395

0.422063

0.404744

0.329443

0

0.000315

0.205956

3,996

133

80

30.045113

0.836748

0.266517

0

0.477612

0

0.172389

0.015021

0

1

0.134328

false

0

0.044776

0.119403

0.761194

0

null

0

null

0

1

0

2

f2ab56ac0774f86845db22271272c7bf7382c5ad

400

py

Python

v1/teams/views/slack_channel.py

dhakal0kushal/Website-API

6876fdb0c4789c1488321513d66194d06d49ff2b

[ "MIT" ]

null

v1/teams/views/slack_channel.py

dhakal0kushal/Website-API

6876fdb0c4789c1488321513d66194d06d49ff2b

[ "MIT" ]

null

v1/teams/views/slack_channel.py

dhakal0kushal/Website-API

6876fdb0c4789c1488321513d66194d06d49ff2b

[ "MIT" ]

null

from rest_framework.viewsets import ModelViewSet from v1.third_party.rest_framework.permissions import IsStaffOrReadOnly from ..models.slack_channel import SlackChannel from ..serializers.team import SlackChannelSerializer class SlackChannelViewSet(ModelViewSet): queryset = SlackChannel.objects.all() serializer_class = SlackChannelSerializer permission_classes = [IsStaffOrReadOnly]

33.333333

71

0.84

39

400

8.461538

0.666667

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36.363636

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null

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1

0

2

f2ae37f689af5a4aee9c188b87654b6b768e3e2a

8,977

py

Python

temboo/core/Library/Genability/TariffData/GetTariffs.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/Genability/TariffData/GetTariffs.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/Genability/TariffData/GetTariffs.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

# -*- coding: utf-8 -*- ############################################################################### # # GetTariffs # Returns a list of Tariff objects based a specified search criteria. # # Python versions 2.6, 2.7, 3.x # # Copyright 2014, Temboo Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, # either express or implied. See the License for the specific # language governing permissions and limitations under the License. # # ############################################################################### from temboo.core.choreography import Choreography from temboo.core.choreography import InputSet from temboo.core.choreography import ResultSet from temboo.core.choreography import ChoreographyExecution import json class GetTariffs(Choreography): def __init__(self, temboo_session): """ Create a new instance of the GetTariffs Choreo. A TembooSession object, containing a valid set of Temboo credentials, must be supplied. """ super(GetTariffs, self).__init__(temboo_session, '/Library/Genability/TariffData/GetTariffs') def new_input_set(self): return GetTariffsInputSet() def _make_result_set(self, result, path): return GetTariffsResultSet(result, path) def _make_execution(self, session, exec_id, path): return GetTariffsChoreographyExecution(session, exec_id, path) class GetTariffsInputSet(InputSet): """ An InputSet with methods appropriate for specifying the inputs to the GetTariffs Choreo. The InputSet object is used to specify input parameters when executing this Choreo. """ def set_AccountID(self, value): """ Set the value of the AccountID input for this Choreo. ((optional, string) The unique ID of the Account to find tariffs for. Values passed in will override those from the Account.) """ super(GetTariffsInputSet, self)._set_input('AccountID', value) def set_AppID(self, value): """ Set the value of the AppID input for this Choreo. ((conditional, string) The App ID provided by Genability.) """ super(GetTariffsInputSet, self)._set_input('AppID', value) def set_AppKey(self, value): """ Set the value of the AppKey input for this Choreo. ((required, string) The App Key provided by Genability.) """ super(GetTariffsInputSet, self)._set_input('AppKey', value) def set_CustomerClasses(self, value): """ Set the value of the CustomerClasses input for this Choreo. ((optional, string) Returns only these customer classes. Valid values are: RESIDENTIAL, GENERAL.) """ super(GetTariffsInputSet, self)._set_input('CustomerClasses', value) def set_EffectiveOn(self, value): """ Set the value of the EffectiveOn input for this Choreo. ((optional, date) Returns only tariffs that are effective on this date.) """ super(GetTariffsInputSet, self)._set_input('EffectiveOn', value) def set_EndsWith(self, value): """ Set the value of the EndsWith input for this Choreo. ((optional, string) When true, the search will only return results that end with the specified search string. Otherwise, any match of the search string will be returned as a result.) """ super(GetTariffsInputSet, self)._set_input('EndsWith', value) def set_FromDateTime(self, value): """ Set the value of the FromDateTime input for this Choreo. ((optional, date) Returns only tariffs that are effective on or after this date.) """ super(GetTariffsInputSet, self)._set_input('FromDateTime', value) def set_IsRegex(self, value): """ Set the value of the IsRegex input for this Choreo. ((optional, boolean) When true, the provided search string will be regarded as a regular expression and the search will return results matching the regular expression.) """ super(GetTariffsInputSet, self)._set_input('IsRegex', value) def set_LSEID(self, value): """ Set the value of the LSEID input for this Choreo. ((optional, integer) Filter tariffs for a specific LSE.) """ super(GetTariffsInputSet, self)._set_input('LSEID', value) def set_PageCount(self, value): """ Set the value of the PageCount input for this Choreo. ((optional, integer) The number of results to return. Defaults to 25.) """ super(GetTariffsInputSet, self)._set_input('PageCount', value) def set_PageStart(self, value): """ Set the value of the PageStart input for this Choreo. ((optional, integer) The page number to begin the result set from. Defaults to 1.) """ super(GetTariffsInputSet, self)._set_input('PageStart', value) def set_PopulateProperties(self, value): """ Set the value of the PopulateProperties input for this Choreo. ((optional, boolean) Set to "true" to populate the properties for the returned Tariffs.) """ super(GetTariffsInputSet, self)._set_input('PopulateProperties', value) def set_PopulateRates(self, value): """ Set the value of the PopulateRates input for this Choreo. ((optional, boolean) Set to "true" to populate the rate details for the returned Tariffs.) """ super(GetTariffsInputSet, self)._set_input('PopulateRates', value) def set_SearchOn(self, value): """ Set the value of the SearchOn input for this Choreo. ((optional, string) Comma separated list of fields to query on. When searchOn is specified, the text provided in the search string field will be searched within these fields.) """ super(GetTariffsInputSet, self)._set_input('SearchOn', value) def set_Search(self, value): """ Set the value of the Search input for this Choreo. ((optional, string) The string of text to search on. This can also be a regular expression, in which case you should set the 'isRegex' flag to true.) """ super(GetTariffsInputSet, self)._set_input('Search', value) def set_SortOn(self, value): """ Set the value of the SortOn input for this Choreo. ((optional, string) Comma separated list of fields to sort on.) """ super(GetTariffsInputSet, self)._set_input('SortOn', value) def set_SortOrder(self, value): """ Set the value of the SortOrder input for this Choreo. ((optional, string) Comma separated list of ordering. Possible values are 'ASC' and 'DESC'. Default is 'ASC'. This list corresponds to the field list used in the SortOn input.) """ super(GetTariffsInputSet, self)._set_input('SortOrder', value) def set_StartsWith(self, value): """ Set the value of the StartsWith input for this Choreo. ((optional, boolean) When true, the search will only return results that begin with the specified search string. Otherwise, any match of the search string will be returned as a result.) """ super(GetTariffsInputSet, self)._set_input('StartsWith', value) def set_TariffTypes(self, value): """ Set the value of the TariffTypes input for this Choreo. ((optional, string) Returns only these tariff types. Valid values are: DEFAULT, ALTERNATIVE, OPTIONAL_EXTRA, RIDER.) """ super(GetTariffsInputSet, self)._set_input('TariffTypes', value) def set_ToDateTime(self, value): """ Set the value of the ToDateTime input for this Choreo. ((optional, date) Returns only tariffs that are effective on or before this date.) """ super(GetTariffsInputSet, self)._set_input('ToDateTime', value) def set_ZipCode(self, value): """ Set the value of the ZipCode input for this Choreo. ((optional, string) Return tariffs for a given zip or post code.) """ super(GetTariffsInputSet, self)._set_input('ZipCode', value) class GetTariffsResultSet(ResultSet): """ A ResultSet with methods tailored to the values returned by the GetTariffs Choreo. The ResultSet object is used to retrieve the results of a Choreo execution. """ def getJSONFromString(self, str): return json.loads(str) def get_Response(self): """ Retrieve the value for the "Response" output from this Choreo execution. ((json) The response from Genability.) """ return self._output.get('Response', None) class GetTariffsChoreographyExecution(ChoreographyExecution): def _make_result_set(self, response, path): return GetTariffsResultSet(response, path)

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5.317376

0.213652

0.021674

0.042014

0.052518

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0.34945

0.333278

0.200567

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0.120707

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8,977

182

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49.324176

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0

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false

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null

0

null

0

1

0

1

0

2

f2b4c3c0a68d3e92b2ec95d65186a2fc28487ba5

1,183

py

Python

tilingsgui/utils.py

PermutaTriangle/tilingsgui

7421200dbf00eb429abeb22a29ad70fdb6644a90

[ "BSD-3-Clause" ]

2

2020-07-01T17:03:04.000Z

2020-07-17T13:25:59.000Z

tilingsgui/utils.py

PermutaTriangle/tilingsgui

7421200dbf00eb429abeb22a29ad70fdb6644a90

[ "BSD-3-Clause" ]

6

2019-11-20T09:48:10.000Z

2020-09-16T06:51:24.000Z

tilingsgui/utils.py

PermutaTriangle/tilingsgui

7421200dbf00eb429abeb22a29ad70fdb6644a90

[ "BSD-3-Clause" ]

3

2019-11-19T12:10:21.000Z

2020-06-29T11:36:29.000Z

"""A collection of various utility functionality. """ import datetime import pyperclip def paste() -> str: """Paste what is currently in clipboard. This can fail if os does not included required dependencies. * Win: None * Mac: pbcopy and pbpaste (should be built in) * Linux: xclip Returns: str: The pasted value as a string or an empty string if fails. """ try: return pyperclip.paste() except pyperclip.PyperclipException: print("Required clipboard tools for pyperclip missing") return "" def get_current_time_string() -> str: """Get the current date and time as a string. Returns: str: The current datetime. """ return datetime.datetime.now().isoformat() def clamp(value: float, min_value: float, max_value: float) -> float: """Returns the closest value to value in [min_value, max_value]. Args: value (float): The value to map. min_value (float): Minimum value of interval. max_value (float): Maximum value of interval. Returns: float: The value clamped between boundaries """ return min(max_value, max(value, min_value))

25.170213

73

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5.006536

0.496732

0.078329

0.033943

0

0.253593

1,183

46

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25.717391

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false

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0.75

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0

null

0

null

0

1

0

1

0

2

f2c4787335e226588174e6bb0a1070e06545972d

259

py

Python

IceGame/h5game/models/game_tpl_m.py

onebitxy/djangoing

5061516b0f5bce1794488680ca616f512ae3ad42

[ "MIT" ]

null

IceGame/h5game/models/game_tpl_m.py

onebitxy/djangoing

5061516b0f5bce1794488680ca616f512ae3ad42

[ "MIT" ]

null

IceGame/h5game/models/game_tpl_m.py

onebitxy/djangoing

5061516b0f5bce1794488680ca616f512ae3ad42

[ "MIT" ]

null

#!/usr/bin/python3.7 # -*- coding: utf-8 -*- from .abs_game_m import AbsGame class GameTpl(AbsGame): ''' 游戏模板类 ''' def is_template(self): ''' 是否为模板游戏 ''' return True def __str__(self): return '%s[%s]' % (self.project.name, self.name)

11.26087

50

0.598456

35

259

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0

0.014634

0.208494

259

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11.772727

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0

0.033333

0

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0.333333

false

0

0.166667

1

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null

0

null

0

1

0

1

0

2

4b2f0c4dbe10c27f739c9991ec4b877e6f01bb3d

60,934

py

Python

wbpy/tests/climate_data.py

Giving-Tuesday/wbpy

5077d6455b511caa8421f0165cc18a26c5b97eb9

[ "MIT" ]

40

2015-01-17T23:28:12.000Z

2022-02-27T16:55:22.000Z

wbpy/tests/climate_data.py

Giving-Tuesday/wbpy

5077d6455b511caa8421f0165cc18a26c5b97eb9

[ "MIT" ]

1

2020-07-06T07:01:32.000Z

2020-07-18T13:02:39.000Z

wbpy/tests/climate_data.py

Giving-Tuesday/wbpy

5077d6455b511caa8421f0165cc18a26c5b97eb9

[ "MIT" ]

9

2015-10-02T23:58:21.000Z

2021-10-04T00:22:02.000Z

# -*- coding: utf-8 -*- import datetime import wbpy class InstrumentalData(object): def __init__(self): self.dataset = wbpy.InstrumentalDataset(self.data, self.data_stat, self.data_type, self.date) class InstrumentalMonth(InstrumentalData): date = datetime.date(2013, 10, 1) data_type = "month" data_stat = "tas" data_regions = ["gbr", "esp"] url_a = "climatedataapi.worldbank.org/climateweb/rest/v1/country/cru/tas/month/gbr" response_a = [ { "month": 0, "data": 3.548619 }, { "month": 1, "data": 3.5660548 }, { "month": 2, "data": 5.029752 }, { "month": 3, "data": 7.046495 }, { "month": 4, "data": 9.992739 }, { "month": 5, "data": 12.64797 }, { "month": 6, "data": 14.395218 }, { "month": 7, "data": 14.276817 }, { "month": 8, "data": 12.295507 }, { "month": 9, "data": 9.340202 }, { "month": 10, "data": 5.964761 }, { "month": 11, "data": 4.2208977 } ] url_b = "climatedataapi.worldbank.org/climateweb/rest/v1/country/cru/tas/month/esp" response_b = [ { "month": 0, "data": 6.2650433 }, { "month": 1, "data": 7.335536 }, { "month": 2, "data": 9.484709 }, { "month": 3, "data": 11.475021 }, { "month": 4, "data": 14.807161 }, { "month": 5, "data": 18.776157 }, { "month": 6, "data": 21.889704 }, { "month": 7, "data": 22.015457 }, { "month": 8, "data": 19.039537 }, { "month": 9, "data": 14.4277115 }, { "month": 10, "data": 9.737686 }, { "month": 11, "data": 6.9298105 } ] data = [ dict(url=url_a, resp=response_a), dict(url=url_b, resp=response_b), ] class InstrumentalYear(InstrumentalData): data_type = "year" data_stat = "tas" data_regions = ["bra"] url = "climatedataapi.worldbank.org/climateweb/rest/v1/country/cru/tas/year/bra" date = datetime.date(2013, 10, 1) response = [ { "year": 1901, "data": 24.896547 }, { "year": 1902, "data": 25.09181 }, { "year": 1903, "data": 24.896107 }, { "year": 1904, "data": 24.527473 }, { "year": 1905, "data": 24.840496 }, { "year": 1906, "data": 24.773937 }, { "year": 1907, "data": 24.726265 }, { "year": 1908, "data": 24.891228 }, { "year": 1909, "data": 24.801495 }, { "year": 1910, "data": 24.767641 }, { "year": 1911, "data": 24.702343 }, { "year": 1912, "data": 24.702488 }, { "year": 1913, "data": 24.747656 }, { "year": 1914, "data": 25.001505 }, { "year": 1915, "data": 25.063795 }, { "year": 1916, "data": 24.573738 }, { "year": 1917, "data": 24.081936 }, { "year": 1918, "data": 24.573418 }, { "year": 1919, "data": 24.992315 }, { "year": 1920, "data": 24.629692 }, { "year": 1921, "data": 24.334965 }, { "year": 1922, "data": 24.371807 }, { "year": 1923, "data": 24.37411 }, { "year": 1924, "data": 24.255426 }, { "year": 1925, "data": 24.437939 }, { "year": 1926, "data": 24.772419 }, { "year": 1927, "data": 24.338501 }, { "year": 1928, "data": 24.549429 }, { "year": 1929, "data": 24.388468 }, { "year": 1930, "data": 24.692787 }, { "year": 1931, "data": 24.63292 }, { "year": 1932, "data": 24.742476 }, { "year": 1933, "data": 24.408184 }, { "year": 1934, "data": 24.358976 }, { "year": 1935, "data": 24.552368 }, { "year": 1936, "data": 24.793364 }, { "year": 1937, "data": 24.749926 }, { "year": 1938, "data": 24.633394 }, { "year": 1939, "data": 24.676409 }, { "year": 1940, "data": 24.92098 }, { "year": 1941, "data": 25.087818 }, { "year": 1942, "data": 24.88943 }, { "year": 1943, "data": 24.662493 }, { "year": 1944, "data": 24.960236 }, { "year": 1945, "data": 24.751871 }, { "year": 1946, "data": 24.82267 }, { "year": 1947, "data": 24.613426 }, { "year": 1948, "data": 24.73713 }, { "year": 1949, "data": 24.509995 }, { "year": 1950, "data": 24.528568 }, { "year": 1951, "data": 24.488796 }, { "year": 1952, "data": 24.644905 }, { "year": 1953, "data": 24.787127 }, { "year": 1954, "data": 24.857592 }, { "year": 1955, "data": 24.568645 }, { "year": 1956, "data": 24.290783 }, { "year": 1957, "data": 24.673687 }, { "year": 1958, "data": 25.121525 }, { "year": 1959, "data": 24.947987 }, { "year": 1960, "data": 24.629892 }, { "year": 1961, "data": 25.141964 }, { "year": 1962, "data": 24.80534 }, { "year": 1963, "data": 25.217241 }, { "year": 1964, "data": 24.832363 }, { "year": 1965, "data": 25.042736 }, { "year": 1966, "data": 25.179237 }, { "year": 1967, "data": 25.035997 }, { "year": 1968, "data": 24.658405 }, { "year": 1969, "data": 25.26417 }, { "year": 1970, "data": 25.130068 }, { "year": 1971, "data": 24.418861 }, { "year": 1972, "data": 24.88816 }, { "year": 1973, "data": 25.007069 }, { "year": 1974, "data": 24.396254 }, { "year": 1975, "data": 24.438084 }, { "year": 1976, "data": 24.39613 }, { "year": 1977, "data": 24.807856 }, { "year": 1978, "data": 24.677866 }, { "year": 1979, "data": 24.693518 }, { "year": 1980, "data": 24.841465 }, { "year": 1981, "data": 24.6487 }, { "year": 1982, "data": 24.80703 }, { "year": 1983, "data": 25.007809 }, { "year": 1984, "data": 24.80416 }, { "year": 1985, "data": 24.776478 }, { "year": 1986, "data": 24.891207 }, { "year": 1987, "data": 25.302525 }, { "year": 1988, "data": 25.050127 }, { "year": 1989, "data": 24.709227 }, { "year": 1990, "data": 25.069971 }, { "year": 1991, "data": 25.041132 }, { "year": 1992, "data": 24.83469 }, { "year": 1993, "data": 24.955845 }, { "year": 1994, "data": 25.072952 }, { "year": 1995, "data": 25.300232 }, { "year": 1996, "data": 25.046738 }, { "year": 1997, "data": 25.368227 }, { "year": 1998, "data": 25.68623 }, { "year": 1999, "data": 25.147045 }, { "year": 2000, "data": 25.142067 }, { "year": 2001, "data": 25.421627 }, { "year": 2002, "data": 25.65718 }, { "year": 2003, "data": 25.480742 }, { "year": 2004, "data": 25.389252 }, { "year": 2005, "data": 25.70073 }, { "year": 2006, "data": 25.494154 }, { "year": 2007, "data": 25.547108 }, { "year": 2008, "data": 25.218435 }, { "year": 2009, "data": 25.496075 } ] data = [dict(url=url, resp=response)] class InstrumentalDecade(InstrumentalData): date = datetime.date(2013, 10, 1) data_regions = ["302", 300] data_type = "year" data_stat = "pr" url_a = "climatedataapi.worldbank.org/climateweb/rest/v1/basin/cru/pr/decade/302" response_a = [ { "year": 1960, "data": 14.410124 }, { "year": 1970, "data": 14.093135 }, { "year": 1980, "data": 15.368048 }, { "year": 1990, "data": 13.921389 }, { "year": 2000, "data": 14.790415 } ] url_b = "climatedataapi.worldbank.org/climateweb/rest/v1/basin/cru/pr/decade/300" response_b = [ { "year": 1960, "data": 14.603459 }, { "year": 1970, "data": 13.365872 }, { "year": 1980, "data": 14.364871 }, { "year": 1990, "data": 13.437422 }, { "year": 2000, "data": 13.864062 } ] data = [ dict(url=url_a, resp=response_a), dict(url=url_b, resp=response_b), ] ############################################################################### class ModelledData(object): date = datetime.date(2013, 10, 1) def __init__(self): self.dataset = wbpy.ModelledDataset(self.data, self.data_stat, self.data_type, self.date) class ModelledVarMAVG(ModelledData): data_type = "mavg" data_stat = "pr" url_a = "climatedataapi.worldbank.org/climateweb/rest/v1/country/mavg/pr/2020/2039/bra" response_a = [ { "scenario": "a2", "gcm": 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"pr", "monthVals": [ 225.71320105234378, 211.64536703106893, 223.5107293719708, 174.0137847081534, 148.4994484048934, 117.09818273534523, 68.6275054868496, 51.291382924190216, 55.65796913436562, 109.87616048343556, 151.88583607272494, 196.01073552023018 ], "fromYear": 2040, "toYear": 2059 } ] data = [ dict(url=url_a, resp=response_a), dict(url=url_b, resp=response_b), ] class ModelledVarAANOM(ModelledData): data_type = "annualanom" data_stat = "tas" url_a = "climatedataapi.worldbank.org/climateweb/rest/v1/country/annualanom/tas/2020/2039/jpn" response_a = [ { "scenario": "a2", "gcm": "bccr_bcm2_0", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.7786479749176315 ] }, { "scenario": "b1", "gcm": "bccr_bcm2_0", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.8449176989103157 ] }, { "scenario": "a2", "gcm": "cccma_cgcm3_1", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.2275165758643685 ] }, { "scenario": "b1", "gcm": "cccma_cgcm3_1", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.0621217426498424 ] }, { "scenario": "a2", "gcm": "cnrm_cm3", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.1647210372120789 ] }, { "scenario": "b1", "gcm": "cnrm_cm3", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.429963764391737 ] }, { "scenario": "a2", "gcm": "csiro_mk3_5", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.2534846255653422 ] }, { "scenario": "b1", "gcm": "csiro_mk3_5", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.9668153461658157 ] }, { "scenario": "a2", "gcm": "gfdl_cm2_0", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.0066664846322106 ] }, { "scenario": "b1", "gcm": "gfdl_cm2_0", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.3024468672897367 ] }, { "scenario": "a2", "gcm": "gfdl_cm2_1", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.9445158305922633 ] }, { "scenario": "b1", "gcm": "gfdl_cm2_1", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.217628880551053 ] }, { "scenario": "a2", "gcm": "ingv_echam4", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.721512643914342 ] }, { "scenario": "a2", "gcm": "inmcm3_0", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.3766808760792104 ] }, { "scenario": "b1", "gcm": "inmcm3_0", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.9657624897205526 ] }, { "scenario": "a2", "gcm": "ipsl_cm4", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.0700354325148944 ] }, { "scenario": "b1", "gcm": "ipsl_cm4", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.1120043302838944 ] }, { "scenario": "a2", "gcm": "miroc3_2_medres", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.504642687345158 ] }, { "scenario": "b1", "gcm": "miroc3_2_medres", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.3705990439960523 ] }, { "scenario": "a2", "gcm": "miub_echo_g", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.4130586322989738 ] }, { "scenario": "b1", "gcm": "miub_echo_g", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.0317559493214734 ] }, { "scenario": "a2", "gcm": "mpi_echam5", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.6037645841900264 ] }, { "scenario": "b1", "gcm": "mpi_echam5", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.6843181409334473 ] }, { "scenario": "a2", "gcm": "mri_cgcm2_3_2a", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 0.8660503186673421 ] }, { "scenario": "b1", "gcm": "mri_cgcm2_3_2a", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.0293233771075527 ] }, { "scenario": "a2", "gcm": "ukmo_hadcm3", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.3679215280637105 ] }, { "scenario": "b1", "gcm": "ukmo_hadcm3", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.2086350290398158 ] }, { "scenario": "a2", "gcm": "ukmo_hadgem1", "variable": "tas", "fromYear": 2020, "toYear": 2039, "annualData": [ 1.3869098864103686 ] } ] url_b = "climatedataapi.worldbank.org/climateweb/rest/v1/country/annualanom/tas/2060/2079/jpn" response_b = [ { "scenario": "a2", "gcm": "bccr_bcm2_0", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.255086798416842 ] }, { "scenario": "b1", "gcm": "bccr_bcm2_0", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.4150808233955265 ] }, { "scenario": "a2", "gcm": "cccma_cgcm3_1", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.6754439504526317 ] }, { "scenario": "b1", "gcm": "cccma_cgcm3_1", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.70144974558079 ] }, { "scenario": "a2", "gcm": "cnrm_cm3", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 3.0710481342507894 ] }, { "scenario": "b1", "gcm": "cnrm_cm3", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.1501922607426316 ] }, { "scenario": "a2", "gcm": "csiro_mk3_5", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.567907232987895 ] }, { "scenario": "b1", "gcm": "csiro_mk3_5", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.9166894210021053 ] }, { "scenario": "a2", "gcm": "gfdl_cm2_0", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.951608758223684 ] }, { "scenario": "b1", "gcm": "gfdl_cm2_0", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.52318854080921 ] }, { "scenario": "a2", "gcm": "gfdl_cm2_1", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.5611435739621053 ] }, { "scenario": "b1", "gcm": "gfdl_cm2_1", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.999645835474737 ] }, { "scenario": "a2", "gcm": "ingv_echam4", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.9863618549544735 ] }, { "scenario": "a2", "gcm": "inmcm3_0", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.5045936986015787 ] }, { "scenario": "b1", "gcm": "inmcm3_0", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.8178285297599999 ] }, { "scenario": "a2", "gcm": "ipsl_cm4", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.819903725071842 ] }, { "scenario": "b1", "gcm": "ipsl_cm4", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.261749267578158 ] }, { "scenario": "a2", "gcm": "miroc3_2_medres", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 3.192606072676842 ] }, { "scenario": "b1", "gcm": "miroc3_2_medres", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.301438181024474 ] }, { "scenario": "a2", "gcm": "miub_echo_g", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 3.030264603464474 ] }, { "scenario": "b1", "gcm": "miub_echo_g", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.4906086168792108 ] }, { "scenario": "a2", "gcm": "mpi_echam5", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.403093839946579 ] }, { "scenario": "b1", "gcm": "mpi_echam5", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.0043094032678943 ] }, { "scenario": "a2", "gcm": "mri_cgcm2_3_2a", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.223550093801053 ] }, { "scenario": "b1", "gcm": "mri_cgcm2_3_2a", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 1.9238570363900005 ] }, { "scenario": "a2", "gcm": "ukmo_hadcm3", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 3.2231140136713154 ] }, { "scenario": "b1", "gcm": "ukmo_hadcm3", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 2.411973652086579 ] }, { "scenario": "a2", "gcm": "ukmo_hadgem1", "variable": "tas", "fromYear": 2060, "toYear": 2079, "annualData": [ 3.096522281043947 ] } ] url_c = "climatedataapi.worldbank.org/climateweb/rest/v1/country/annualanom/tas/ensemble/2060/2079/jpn" response_c = [ { "scenario": "a2", "fromYear": 2060, "toYear": 2079, "annualVal": [ 2.181849266353948 ], "percentile": 10 }, { "scenario": "b1", "fromYear": 2060, "toYear": 2079, "annualVal": [ 2.492199715814999 ], "percentile": 90 }, { "scenario": "a2", "fromYear": 2060, "toYear": 2079, "annualVal": [ 3.2158861599476314 ], "percentile": 90 }, { "scenario": "b1", "fromYear": 2060, "toYear": 2079, "annualVal": [ 2.1578240645557893 ], "percentile": 50 }, { "scenario": "b1", "fromYear": 2060, "toYear": 2079, "annualVal": [ 1.6806745121352629 ], "percentile": 10 }, { "scenario": "a2", "fromYear": 2060, "toYear": 2079, "annualVal": [ 2.7747529682360526 ], "percentile": 50 } ] data = [ dict(url=url_a, resp=response_a), dict(url=url_b, resp=response_b), dict(url=url_c, resp=response_c), ] class ModelledStat(ModelledData): data_type = "mavg" data_stat = "tmin_means" url_a = "climatedataapi.worldbank.org/climateweb/rest/v1/country/mavg/ensemble/tmin_means/2046/2065/aus" response_a = [ { "scenario": "b1", "monthVals": [ 25.782083803811982, 25.634608734978226, 24.114042061695542, 21.46466295453778, 18.052794096204266, 15.101227853563024, 13.606312052408395, 14.576856708530173, 17.27432642406916, 20.47667560577746, 23.306786077290358, 25.037286224368643 ], "percentile": 90, "fromYear": 2046, "toYear": 2065 }, { "scenario": "b1", "monthVals": [ 24.041002031960893, 23.880588344994475, 22.67146384769044, 19.886640076104676, 16.046275778875685, 13.048262530434489, 11.696615708667647, 13.040205686357462, 15.58095425287858, 18.5749880472795, 21.244146103331047, 23.116800172595788 ], "percentile": 50, "fromYear": 2046, "toYear": 2065 }, { "scenario": "a2", "monthVals": [ 21.581415437062162, 21.752888304394073, 20.168976287839964, 17.458623985713725, 14.199868598513163, 11.072101651297425, 9.729770958159154, 10.630333902571474, 13.256081190110892, 16.404454576706183, 18.974266628689783, 20.477993464997603 ], "percentile": 10, "fromYear": 2046, "toYear": 2065 }, { "scenario": "b1", "monthVals": [ 21.10662211948022, 21.197347937689965, 19.804292882284805, 16.986286434598355, 13.64291070302453, 10.435863842435202, 9.062306179735174, 10.143603411780752, 12.577768972185863, 15.805609361862539, 18.311742615171077, 19.940080189175784 ], "percentile": 10, "fromYear": 2046, "toYear": 2065 }, { "scenario": "a2", "monthVals": [ 26.199926584035097, 26.08030697292755, 24.52425097995068, 21.83637115902157, 18.305653300815962, 15.245683038498221, 14.1148452737556, 14.981919038562001, 17.592039754656533, 20.77404207865334, 23.537432471381152, 25.52079916636054 ], "percentile": 90, "fromYear": 2046, "toYear": 2065 }, { "scenario": "a2", "monthVals": [ 24.408924450345864, 24.38896102905363, 23.18872515360395, 20.491847644382446, 16.720330077275246, 13.489942398072039, 12.157988754908306, 13.409644813534802, 16.035596533884487, 19.10823663923685, 21.69680718528129, 23.609122865465135 ], "percentile": 50, "fromYear": 2046, "toYear": 2065 } ] url_b = "climatedataapi.worldbank.org/climateweb/rest/v1/country/mavg/ensemble/tmin_means/2046/2065/nzl" response_b = [ { "scenario": "b1", "monthVals": [ 16.401694195610716, 17.008454118460715, 16.4645305361, 14.840376615530001, 13.021743570053214, 11.583745241169643, 10.744972620690714, 10.453464831625, 10.672451002253927, 11.231809565002859, 12.463586228230714, 14.541015999650355 ], "percentile": 90, "fromYear": 2046, "toYear": 2065 }, { "scenario": "b1", "monthVals": [ 15.367983545582144, 15.912106343678575, 15.328311852042857, 13.773818765363572, 11.987482070920711, 10.564060296334999, 9.669650009702858, 9.45698642731107, 9.854635425973214, 10.563139268330714, 11.863610131406073, 13.69362272534464 ], "percentile": 50, "fromYear": 2046, "toYear": 2065 }, { "scenario": "a2", "monthVals": [ 13.693805830807142, 13.978051424030355, 13.31321934291607, 11.869024361892144, 10.267027071541426, 8.805862699235357, 8.189702902521427, 8.144503423142499, 8.752993822099999, 9.377128192358573, 10.597079311097856, 12.226380586624286 ], "percentile": 10, "fromYear": 2046, "toYear": 2065 }, { "scenario": "b1", "monthVals": [ 13.285540955404642, 13.639775242117853, 13.000142897872857, 11.565237573215358, 9.875808937212144, 8.596301266128929, 7.842985459735716, 7.787801623345355, 8.381649102487142, 9.006317768784285, 10.233347552166785, 11.953954969136428 ], "percentile": 10, "fromYear": 2046, "toYear": 2065 }, { "scenario": "a2", "monthVals": [ 16.686951330732143, 17.245020525803575, 16.69483978407143, 15.03799993651893, 13.24689153262714, 11.917718172072856, 11.048641289976787, 10.828486732078215, 10.977341600833572, 11.547211255340002, 12.763983215594646, 14.979195049835715 ], "percentile": 90, "fromYear": 2046, "toYear": 2065 }, { "scenario": "a2", "monthVals": [ 15.671809571128566, 16.161321912496433, 15.561991895942857, 14.043036835538215, 12.255052345144287, 10.822844896997498, 9.95973421846, 9.724211062704285, 10.008326768875358, 10.813060607225713, 12.155830349238927, 14.113970484054287 ], "percentile": 50, "fromYear": 2046, "toYear": 2065 } ] data = [ dict(url=url_a, resp=response_a), dict(url=url_b, resp=response_b), ]

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215

py

Python

src/main.py

joshf26/JSML

ef1b033f19b2d5fdf12eb65932f530c07652360e

[ "MIT" ]

2

2020-01-06T21:46:31.000Z

2020-01-07T08:14:06.000Z

src/main.py

joshf26/JSML

ef1b033f19b2d5fdf12eb65932f530c07652360e

[ "MIT" ]

null

src/main.py

joshf26/JSML

ef1b033f19b2d5fdf12eb65932f530c07652360e

[ "MIT" ]

null

from inputparser import parse_input from transpile import transpile def main(): data, output_file = parse_input() html = transpile(data) output_file.write(html) if __name__ == '__main__': main()

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Python

src/note/models/note.py

MaximeRaynal/SimpleNote

aee1eeba5561dbf985bd7349a0528bfed6ceaeda

[ "MIT" ]

null

src/note/models/note.py

MaximeRaynal/SimpleNote

aee1eeba5561dbf985bd7349a0528bfed6ceaeda

[ "MIT" ]

null

src/note/models/note.py

MaximeRaynal/SimpleNote

aee1eeba5561dbf985bd7349a0528bfed6ceaeda

[ "MIT" ]

null

import os import uuid from django.conf import settings from django.contrib.auth.models import User from django.db import models from note.models.page import Page class Note(models.Model): """ Représentation d'une note comme un ensemble de page. La plus part des infos sont stocké de manière physique dans les dossiers le stockage en BDD sert à faciliter la recherche. Sur le disque une note est stocké dans le dossier settings.NOTE_DIR, à l'intérieur d'un dossier portant le nom de l'utilisateur. Une note est un dossier contenant les pages et les attachments. Le dossier est nommé nomNote_uuid """ note_id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False) name = models.CharField(max_length=50) description = models.TextField() privacy_state = models.CharField(max_length=20) creation_date = models.DateTimeField() last_update = models.DateTimeField() is_crypted = models.BooleanField(default=False) author = models.ForeignKey(User) tags = models.ManyToManyField('Tag', null=True) def __str__(self): return self.name def laod_page(self): """ Charge les pages (fichier stocké) associé à la note """ note_directory = os.path.join(settings.NOTE_DIR, self.author) note_directory = os.path.join(note_directory, self.name) for element in note_directory: if element.endswith('.md'): self.pages.append(Page().load(element)) def save_on_disk(self): """ Enregistre la note sur le disque """ passnote_directory = os.path.join(settings.NOTE_DIR, self.author) note_directory = os.path.join(passnote_directory, self.name + '_' + self.note_id) if not os.path.isdir(note_directory): os.mkdir(self.name) for page in self.pages: page_path = os.path.join(note_directory, page.__str__() + '.md') with open(page_path, 'w') as f: f.truncate() f.write(page.text) def light_serialization(self): properties = dict() properties['uuid'] = str(self.note_id) properties['name'] = str(self.name) return properties

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4b572d8c55c8387fb2e7d30c27301f01ba34c449

1,361

py

Python

tests/unit_tests/python/qt/test_error_catcher.py

robertapplin/N-Body-Simulations

9cd9887c64e5c256ad4dbcb86b227561ed7ff413

[ "MIT" ]

null

tests/unit_tests/python/qt/test_error_catcher.py

robertapplin/N-Body-Simulations

9cd9887c64e5c256ad4dbcb86b227561ed7ff413

[ "MIT" ]

13

2021-01-17T13:19:25.000Z

2022-02-11T21:51:45.000Z

tests/unit_tests/python/qt/test_error_catcher.py

robertapplin/N-Body-Simulations

9cd9887c64e5c256ad4dbcb86b227561ed7ff413

[ "MIT" ]

null

# Project Repository : https://github.com/robertapplin/N-Body-Simulations # Authored by Robert Applin, 2020 import pytest from n_body_simulations.test_helpers.dummy_class_helper import DummyErrorProneClass from n_body_simulations.test_helpers.setup_test_helper import enable_test_mode enable_test_mode() @pytest.fixture(scope='module') def dummy_class(): return DummyErrorProneClass() def test_that_the_error_causer_causes_an_error_when_not_using_the_error_catcher(dummy_class): try: dummy_class.cause_an_uncaught_exception() except RuntimeError: return pytest.fail("The ErrorCauser class did not cause an exception when expected.") def test_that_an_exception_is_caught_by_the_error_catcher(dummy_class): dummy_class.cause_an_exception() def test_that_a_divide_by_zero_error_is_caught_by_the_error_catcher(dummy_class): dummy_class.divide_by_zero() def test_that_an_index_out_of_range_error_is_caught_by_the_error_catcher(dummy_class): dummy_class.index_out_of_range() def test_that_a_function_returning_nothing_will_not_cause_an_error_when_decorated_by_the_error_catcher(dummy_class): dummy_class.function_that_returns_nothing() def test_that_a_function_will_return_the_correct_value_when_decorated_by_the_error_catcher(dummy_class): assert dummy_class.function_that_returns_a_value() == 1.0

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4b895850b8fe21db07e7f09783afd0763591a4f2

327

py

Python

xylophone/project/objects/obj_logo.py

Turysaz/pyframework

da44b8127aa6b89d6cdb3bdb564c386520b37e22

[ "MIT" ]

null

xylophone/project/objects/obj_logo.py

Turysaz/pyframework

da44b8127aa6b89d6cdb3bdb564c386520b37e22

[ "MIT" ]

6

2018-04-09T20:57:14.000Z

2018-04-09T21:18:12.000Z

xylophone/project/objects/obj_logo.py

Turysaz/xylophone

da44b8127aa6b89d6cdb3bdb564c386520b37e22

[ "MIT" ]

null

# Copyright (c) 2018 Turysaz <turysaz@posteo.org> # This is a minimalistic example for a xylophone game object import pygame, framework class ObjLogo(GameObject): # THIS TWO LINES MUST ALWAYS LOOK LIKE THAT # def __init__(self, event_aggregator, room): super.__init__(event_aggregator, room) pass

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4b8d1f20e8adb8ecc94ffc5b31ad4cb73b0a20f5

387

py

Python

modoboa_postfix_autoreply/apps.py

modoboa/modoboa-postfix-autoreply

353c62e51a0ecd011d056264422d74fcd571f05b

[ "MIT" ]

5

2017-06-23T08:18:52.000Z

2021-02-17T07:09:24.000Z

modoboa_postfix_autoreply/apps.py

modoboa/modoboa-postfix-autoreply

353c62e51a0ecd011d056264422d74fcd571f05b

[ "MIT" ]

78

2015-05-02T09:19:09.000Z

2022-02-28T02:07:05.000Z

modoboa_postfix_autoreply/apps.py

modoboa/modoboa-postfix-autoreply

353c62e51a0ecd011d056264422d74fcd571f05b

[ "MIT" ]

10

2015-05-05T10:19:23.000Z

2020-04-09T05:20:59.000Z

# -*- coding: utf-8 -*- """AppConfig for modoboa_postfix_autoreply.""" from __future__ import unicode_literals from django.apps import AppConfig class PostfixAutoreplyConfig(AppConfig): """App configuration.""" name = "modoboa_postfix_autoreply" verbose_name = "Auto-reply functionality using Postfix" def ready(self): from . import handlers # NOQA:F401

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null

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4ba2c2e5862018ee8445db37764b01a416bc6ec1

658

py

Python

web/spider/test.py

laozhudetui/LSpider

2c3d1bd5ef740aa49c2e13054d79877edb00a83f

[ "MIT" ]

311

2021-01-20T08:47:37.000Z

2022-03-30T16:28:04.000Z

web/spider/test.py

hoatrangnv/LSpider-P

6544b842012eb5bbb8d35d5eafa6175d9fdf76e0

[ "MIT" ]

15

2021-01-21T02:36:23.000Z

2021-11-30T03:00:04.000Z

web/spider/test.py

hoatrangnv/LSpider-P

6544b842012eb5bbb8d35d5eafa6175d9fdf76e0

[ "MIT" ]

49

2021-01-25T02:48:59.000Z

2022-03-31T03:56:46.000Z

#!/usr/bin/env python # encoding: utf-8 ''' @author: LoRexxar @contact: lorexxar@gmail.com @file: test.py.py @time: 2020/4/3 15:45 @desc: ''' from django.test import TestCase from django.utils import timezone from .controller.spider import SpiderCore class SpiderCoreTests(TestCase): def test_was_published_recently_with_future_question(self): scancore = SpiderCore() scancore.target_list.put({'url': 'https://lorexxar.cn', 'type': 'link', 'deep': 0}) # scancore.target_list.put({'url': "https://cdn.jsdelivr.net/npm/jquery@3.3.1/dist/jquery.min.js", 'type': 'js', 'deep': 0}) scancore.scan() return True

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221

py

Python

mayan/__init__.py

camerondphillips/MAYAN

b8cd44af50f0b2f2b59286d9c88e2f7aa573a93f

[ "Apache-2.0" ]

null

mayan/__init__.py

camerondphillips/MAYAN

b8cd44af50f0b2f2b59286d9c88e2f7aa573a93f

[ "Apache-2.0" ]

null

mayan/__init__.py

camerondphillips/MAYAN

b8cd44af50f0b2f2b59286d9c88e2f7aa573a93f

[ "Apache-2.0" ]

null

from __future__ import unicode_literals __title__ = 'Mayan EDMS' __version__ = '1.1.1' __build__ = 0x010101 __author__ = 'Roberto Rosario' __license__ = 'Apache 2.0' __copyright__ = 'Copyright 2011-2015 Roberto Rosario'

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null

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2

4ba9c6267dd9a2706963c1fc2ed6b4afd96b8b69

231

py

Python

es_sink/es_sink/__init__.py

avmi/community

94abc715845d17fb4c24e70c7c328b2d4da0d581

[ "Apache-2.0" ]

305

2019-03-11T15:25:53.000Z

2021-03-03T09:34:02.000Z

es_sink/es_sink/__init__.py

marhak/odfe-community

c1f2802205eb11c0fdbbbef909b0e33e90ea2ad5

[ "Apache-2.0" ]

233

2019-03-11T14:52:59.000Z

2021-03-03T12:11:00.000Z

es_sink/es_sink/__init__.py

marhak/odfe-community

c1f2802205eb11c0fdbbbef909b0e33e90ea2ad5

[ "Apache-2.0" ]

97

2019-03-17T20:56:46.000Z

2021-02-28T14:14:01.000Z

__all__ = ['descriptor', 'es_transport', 'flushing_buffer', 'line_buffer', 'sqs_transport', 'transport_exceptions', 'transport_result', 'transport_utils']

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4bad3a41cd420892a7c5c5bb12d3599772448c88

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py

Python

addons/mixer/blender_client/__init__.py

trisadmeslek/V-Sekai-Blender-tools

0d8747387c58584b50c69c61ba50a881319114f8

[ "MIT" ]

null

addons/mixer/blender_client/__init__.py

trisadmeslek/V-Sekai-Blender-tools

0d8747387c58584b50c69c61ba50a881319114f8

[ "MIT" ]

null

addons/mixer/blender_client/__init__.py

trisadmeslek/V-Sekai-Blender-tools

0d8747387c58584b50c69c61ba50a881319114f8

[ "MIT" ]

null

# GPLv3 License # # Copyright (C) 2020 Ubisoft # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>. """ This package defines how we send Blender updates to the server, and how we interpret updates we receive to update Blender's data. These functionalities are implemented in the BlenderClient class and in submodules of the package. Submodules with a well defined entity name (camera, collection, light, ...) handle updates for the corresponding data type in Blender. The goal is to replace all this specific code with the submodule data.py, which use the blender_data package to treat updates of Blender's data in a generic way. Specific code will still be required to handle non-Blender clients. As an example, mesh.py add to the MESH message a triangulated, with modifiers applied, of the mesh. This is for non-Blender clients. In the future we want to move these kind of specific processes to a plug-in system. """

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4bb2a9746529bca7a0b3ca83d5f6cb6f5f6cc6d0

614

py

Python

gen_vocab.py

NonvolatileMemory/baseline_for_chatbot-mxnet

2d32dbfe85653af92c6ef461888110b845d62a70

[ "MIT" ]

7

2017-12-14T14:30:27.000Z

2018-12-25T11:16:36.000Z

gen_vocab.py

NonvolatileMemory/baseline_for_chatbot-mxnet

2d32dbfe85653af92c6ef461888110b845d62a70

[ "MIT" ]

null

gen_vocab.py

NonvolatileMemory/baseline_for_chatbot-mxnet

2d32dbfe85653af92c6ef461888110b845d62a70

[ "MIT" ]

null

from data_utils import * import pickle fenci_right_save_path = "/root/PycharmProjects/sigir/data/right_fenci_profile_pad.csv" fenci_wrong_save_path = "/root/PycharmProjects/sigir/data/wrong_fenci_profile_pad.csv" raw_data, raw_label = load_data_and_labels(fenci_right_save_path, fenci_wrong_save_path) word2id, id2word = build_vocab(raw_data) with open('/root/PycharmProjects/sigir/baseline/dual_lstm/vocab/word2id_file', 'wb') as f: pickle.dump(word2id, f) f.close() with open('/root/PycharmProjects/sigir/baseline/dual_lstm/vocab/id2word_file', 'wb') as ff: pickle.dump(id2word, ff) ff.close()

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4bb9db117c9c8d8a8f6f0501dc48a084ee89dbad

1,534

py

Python

src/bc/lib/keys.py

OsmelLavalier/OlavalierChain

a30b413a5a80394660949a333a12c2675e146a54

[ "MIT" ]

null

src/bc/lib/keys.py

OsmelLavalier/OlavalierChain

a30b413a5a80394660949a333a12c2675e146a54

[ "MIT" ]

null

src/bc/lib/keys.py

OsmelLavalier/OlavalierChain

a30b413a5a80394660949a333a12c2675e146a54

[ "MIT" ]

null

import rsa from cryptography.fernet import Fernet # TODO: implement decryption logic so another client can access the data sent def generate_key_pair(): """Generate public/private key pair""" pubkey, privkey = rsa.newkeys(nbits=2048) return pubkey, privkey def get_keys_as_pem(pubkey: rsa.key.PublicKey, privkey: rsa.key.PrivateKey): """Get public/private key pair in PEM format""" return pubkey.save_pkcs1('PEM'), privkey.save_pkcs1('PEM') def get_encrypt_data(secret: bytes, public_pem: bytes): """Generate a random key and encrypt data and public from client""" symmetric_key = Fernet.generate_key() # Generating a random bytes key cipher = Fernet(symmetric_key) # create the cipher # Encrypt data secret_encrypted = cipher.encrypt(secret) # Encrypt the symmetric key with clients public key pubkey = rsa.PublicKey.load_pkcs1(public_pem) encrypted_public_key = rsa.encrypt(message=symmetric_key, pub_key=pubkey) return secret_encrypted, encrypted_public_key def get_decrypted_data(secret: bytes, encrypted_public_key: bytes, private_pem: bytes): """Decrypt client data and return it""" # Load PEM private_key = rsa.PrivateKey.load_pkcs1(private_pem) # Decrypt the encrypted key with private key decrypted_public_key = rsa.decrypt(crypto=encrypted_public_key, priv_key=private_key) cipher = Fernet(decrypted_public_key) # Decrypt the secret decrypted_data = cipher.decrypt(secret) return decrypted_data.decode('utf-8')

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4bba001668565e139fc16e22cff9ea6eefc7fb92

293

py

Python

Testes/PF/02.Total do Centro de Custo.py

pedroivoal/Dessoft

da4da1b48112db8da6a6b2ac5beef396c6d624d7

[ "MIT" ]

null

Testes/PF/02.Total do Centro de Custo.py

pedroivoal/Dessoft

da4da1b48112db8da6a6b2ac5beef396c6d624d7

[ "MIT" ]

null

Testes/PF/02.Total do Centro de Custo.py

pedroivoal/Dessoft

da4da1b48112db8da6a6b2ac5beef396c6d624d7

[ "MIT" ]

null

def total_centro_custo(D_e): D_return = {} # Pecorre dados de cada pessoa for v in D_e.values(): if v['centro de custo'] not in D_return: D_return[v['centro de custo']] = 0 D_return[v['centro de custo']] += v['valor'] return D_return

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1

0

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null

0

2

298d7d6194f5d8dd86de6010e1ac5f0d1f9606ae

122

py

Python

xworker/main.py

ciur/lesson-8-python-packaging

103914288b617bc716fcbba05820743844e97269

[ "Apache-2.0" ]

null

xworker/main.py

ciur/lesson-8-python-packaging

103914288b617bc716fcbba05820743844e97269

[ "Apache-2.0" ]

7

2020-06-05T20:26:15.000Z

2021-09-22T18:21:02.000Z

xworker/main.py

ciur/lesson-8-python-packaging

103914288b617bc716fcbba05820743844e97269

[ "Apache-2.0" ]

null

from utils import prepare def start(): prepare() print("Let's start!") if __name__ == '__main__': start()

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299597ab1b612a8400444aff1727c676d8fd1c8c

261

py

Python

microesp/esp8266/error.py

ashep/microesp

288e1775f470831ddc873e5dde860ce969eb74b6

[ "MIT" ]

null

microesp/esp8266/error.py

ashep/microesp

288e1775f470831ddc873e5dde860ce969eb74b6

[ "MIT" ]

null

microesp/esp8266/error.py

ashep/microesp

288e1775f470831ddc873e5dde860ce969eb74b6

[ "MIT" ]

null

"""MicroESP Errors """ __author__ = 'Oleksandr Shepetko' __email__ = 'a@shepetko.com' __license__ = 'MIT' class ESP8266Error(Exception): pass class DeviceNotConnectedError(ESP8266Error): pass class DeviceCodeExecutionError(ESP8266Error): pass

14.5

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0

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299ac7ef7e24acfc28fe3e598545034303f516ad

760

py

Python

frontend/urls.py

mtianyan/django-drf-react-quickstart

10ab8fa02c6be7e58177bf41b1e4a3f09f67e4d5

[ "Apache-2.0" ]

3

2019-01-07T06:00:07.000Z

2019-08-19T08:42:57.000Z

frontend/urls.py

mtianyan/django-drf-react-quickstart

10ab8fa02c6be7e58177bf41b1e4a3f09f67e4d5

[ "Apache-2.0" ]

3

2020-06-05T19:59:17.000Z

2021-06-10T22:07:06.000Z

frontend/urls.py

mtianyan/django-drf-react-quickstart

10ab8fa02c6be7e58177bf41b1e4a3f09f67e4d5

[ "Apache-2.0" ]

null

# !/usr/bin/python # -*-coding:utf-8-*- __author__ = 'mtianyan' __date__ = '2019-01-07 21:19' """ 　┏┓　　　┏┓+ + 　　　　　　　┏┛┻━━━┛┻┓ + + 　　　　　　　┃　　　　　　　┃ 　　　　　　　　┃　　　━　　　┃ ++ + + + 　　　　　　 ████━████ ┃+ 　　　　　　　┃　　　　　　　┃ + 　　　　　　　┃　　　┻　　　┃ 　　　　　　　┃　　　　　　　┃ + + 　　　　　　　┗━┓　　　┏━┛ 　　　　　　　　　┃　　　┃　　　　　　　　　　　　　　　　　　　　┃　　　┃ + + + + 　　　　　　　　　┃　　　┃　　　　Code is far away from bug with the animal protecting　　　　　　　　　　　　　　　　┃　　　┃ + 　　　　神兽保佑,代码无bug　　　　　　　　　　　┃　　　┃ 　　　　　　　　　┃　　　┃　　+　　　　　　　　　　　　　　　　　　┃　　　┗━━━┓ + + 　　　　　　　　　┃ 　　　　　　　┣┓ 　　　　　　　　　┃ 　　　　　　　┏┛ 　　　　　　　　　┗┓┓┏━┳┓┏┛ + + + + 　　　　　　　　　　┃┫┫　┃┫┫ 　　　　　　　　　　┗┻┛　┗┻┛+ + + + """ from django.urls import path from . import views urlpatterns = [ path('', views.index ), ]

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79

0.232895

80

760

3.1875

0.5875

0.133333

0.129412

0.094118

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23.75

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null

0

1

0

1

0

null

0

2

29b434f84b5aeaa66a0c2fe65bb604e05b12b197

7,364

py

Python

copernicus_retrieval/parser.py

FWidm/CopernicusRetrieval

5a31694fd44dee3e4773fd17cdd66136d039eb89

[ "MIT" ]

1

2019-06-02T11:47:37.000Z

copernicus_retrieval/parser.py

FWidm/CopernicusRetrieval

5a31694fd44dee3e4773fd17cdd66136d039eb89

[ "MIT" ]

null

copernicus_retrieval/parser.py

FWidm/CopernicusRetrieval

5a31694fd44dee3e4773fd17cdd66136d039eb89

[ "MIT" ]

null

from datetime import datetime import eccodes import pytz from copernicus_retrieval import util from copernicus_retrieval.data import copernicus_data from copernicus_retrieval.data.copernicus_enums import Time, ParameterCAMS class Parser(object): def retrieve_metadata(self, gid): """ Retrieves specific metadata keys from the currently loaded grib file more information: https://software.ecmwf.int/wiki/display/ECC/GRIB%3A+Keys :param gid: grib file :return: dictionary containing the keys """ keys = [ #todo: add more params if needed. 'dataTime', 'paramId', # parameter works as well 'units', 'shortName', 'name', 'date', 'step' ] dict = {} for key in keys: try: dict[key] = eccodes.codes_get(gid, key) except eccodes.CodesInternalError as err: print 'Error with key="%s" : %s' % (key, err.msg) return dict def convert_to_alternative_unit(self, value, unit): """ Converts the retrieved value from thee existing Unit into another one if supported. :param value: to convert from :param unit: to convert from :return: touple of value and unit """ #print value,unit if "K" in unit: return value-273.15,"C" return None,None def format_data(self, eccData, metadata): """ reformat the data :param eccData: contains lat, lon, index, value, distance (from target in km) :param metadata: contains dataTime, paramId, units, shortName, name :return: """ ret_dict = {} data = {} for i in range(0, len(eccData)): data = dict(eccData[i]) #data['paramId'] = metadata['paramId'] data['date'] = datetime.strptime(str(metadata['date']), '%Y%m%d').replace(hour=metadata['dataTime'] / 100, tzinfo=pytz.UTC) converted_val, target_unit = self.convert_to_alternative_unit(data['value'],metadata['units']) data['description'] = metadata if converted_val: data['convertedValue']=converted_val if target_unit: data['description']['convertedUnit'] = target_unit param = ParameterCAMS.lookup_id(metadata['paramId']) #todo: adjust type here. ret_dict[param.name] = copernicus_data.CopernicusData(data,metadata['name']) return ret_dict def get_nearest_values(self, filePath, point, n=1, parameters=ParameterCAMS.all(), times=Time.all(), regroup=True): """ Retrieves data from the given filePath - retrieves 1 or 4 values near the given point :param filePath: path to the retrieved grib file :param point: (latitude,longitude) :param n: 1 or 4 points to retrieve :param parameters: list of parameters (Enums.Parameter) :param times: list of times (Enums.Time) :return: dict containing all expected values """ f = open(filePath) if n != 1 and n != 4: raise Exception("Parameter 'n' describes the number of requested data points and must be either 1 or 4.") if type(point[0]) is not float: raise Exception("Point should be a list of two coordinates in the form of [lat:float,lon:float] ") results = {} list = [] # loop through all the parameters while 1: gid = eccodes.codes_grib_new_from_file(f) if gid is None: break metadata = self.retrieve_metadata(gid) if ParameterCAMS.lookup_id(metadata['paramId']) not in parameters: # skip unused/unsupported params #print "skipping... metadata={}".format(metadata) continue if Time.lookup_time(metadata['dataTime']) not in times: # skip unused/unsupported times continue nearest = eccodes.codes_grib_find_nearest(gid, point[0], point[1], is_lsm=False, npoints=n) data = self.format_data(nearest, metadata) list.append(data) eccodes.codes_release(gid) f.close() results['values'] = list if regroup: results = self.group_dict_by_param(results) return results def group_dict_by_param(self, dict): """ groups all values of a specific type inside the same dict e.g. if 4 values for "mean sea level pressure" exist, all values are now in a list under the same key. :param dict: resulting dict after parsing :return: grouped up dictionary by parameter-type """ new = {} for item in dict['values']: for key, val in item.iteritems(): if key not in new: new[key] = [] new[key].append(val) return new def get_parameters(self, filePath,csv=False): """ Retrieves parameters for all parameters that are currently available at time 00:00:00 and returns them as a list of strings for Enums.Parameter.py :param filePath: :return: """ f = open(filePath) metadata_list = [] # loop through all the parameters and retrieve the metadata while 1: gid = eccodes.codes_grib_new_from_file(f) if gid is None: break metadata = self.retrieve_metadata(gid) if (Time.lookup_time(metadata['dataTime']) == Time.ZERO): metadata_list.append(metadata) return util.parameter_to_string(metadata_list, csv=csv) def test_dwd_grib(self, filePath, point, n=1, parameters=ParameterCAMS.all(), times=Time.all(), regroup=False): """ Retrieves data from the given filePath - retrieves 1 or 4 values near the given point :param filePath: path to the retrieved grib file :param point: (latitude,longitude) :param n: 1 or 4 points to retrieve :param parameters: list of parameters (Enums.Parameter) :param times: list of times (Enums.Time) :return: dict containing all expected values """ f = open(filePath) if n != 1 and n != 4: raise Exception("Parameter 'n' describes the number of requested data points and must be either 1 or 4.") if type(point[0]) is not float: raise Exception("Point should be a list of two coordinates in the form of [lat:float,lon:float] ") results = {} list = [] # loop through all the parameters while 1: gid = eccodes.codes_grib_new_from_file(f) if gid is None: break metadata = self.retrieve_metadata(gid) print metadata nearest = eccodes.codes_grib_find_nearest(gid, point[0], point[1], is_lsm=False, npoints=n) list.append(nearest) eccodes.codes_release(gid) f.close() results['values'] = list if regroup: results = self.group_dict_by_param(results) return results

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null

0

null

0

1

0

1

0

2

29c2e4a74615e6f22d1cf8f17d7339f32387441f

2,498

py

Python

jupyterhub_config.py

yuvipanda/jupyterhub-multicluster-kubespawner

11b090addd0374cd552afe4cccb90b67bbb77417

[ "BSD-3-Clause" ]

3

2022-01-11T10:18:57.000Z

2022-01-27T01:29:52.000Z

jupyterhub_config.py

yuvipanda/jupyterhub-multicluster-kubespawner

11b090addd0374cd552afe4cccb90b67bbb77417

[ "BSD-3-Clause" ]

null

jupyterhub_config.py

yuvipanda/jupyterhub-multicluster-kubespawner

11b090addd0374cd552afe4cccb90b67bbb77417

[ "BSD-3-Clause" ]

null

from jupyterhub.spawner import SimpleLocalProcessSpawner from jupyterhub.auth import DummyAuthenticator c.JupyterHub.allow_named_servers = True c.JupyterHub.cleanup_servers = False c.Spawner.hub_connect_url = "https://71dc-36-255-233-17.ngrok.io" # c.Spawner.hub_connect_ip = "192.168.0.151" c.JupyterHub.spawner_class = "multicluster_kubespawner.MultiClusterKubeSpawner" c.JupyterHub.authenticator_class = DummyAuthenticator c.MultiClusterKubeSpawner.profile_list = [ { "display_name": "minikube", "description": "Launch on local minikube", "spawner_override": { "kubernetes_context": "minikube", "ingress_public_url": "http://192.168.64.3:31974", }, }, { "display_name": "GKE", "description": "Launch on GKE on us-central-1", "spawner_override": { "kubernetes_context": "gke_ucb-datahub-2018_us-central1_fall-2019", "ingress_public_url": "http://35.238.7.135", }, }, { "display_name": "DigitalOcean SFO", "description": "Launch on a DigitalOcean Cluster in California", "spawner_override": { "kubernetes_context": "do-nyc3-nbss-1", "ingress_public_url": "http://144.126.250.129", }, }, ] c.MultiClusterKubeSpawner.patches = { "01-memory": """ kind: Pod metadata: name: {{key}} spec: containers: - name: notebook resources: requests: memory: 16Mi """, "02-cpu": """ kind: Pod metadata: name: {{key}} spec: containers: - name: notebook resources: requests: cpu: 10m """, } # dask-kubernetes setup c.MultiClusterKubeSpawner.resources = { "10-dask-role": """ apiVersion: rbac.authorization.k8s.io/v1 kind: Role metadata: name: {{key}}-dask rules: - apiGroups: - "" resources: - pods verbs: - list - create - delete """, "11-dask-rolebinding": """ apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: {{key}}-dask roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: {{key}}-dask subjects: - apiGroup: "" kind: ServiceAccount name: {{key}} """, }

25.489796

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2,498

5.760684

0.5

0.031157

0.04451

0.071217

0.152819

0.096439

0

0.050708

0.321057

2,498

97

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25.752577

0.744104

0.025621

0

0.386364

0

0.659399

0.070341

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1

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true

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0.022727

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null

0

1

0

null

0

1

0

2

29d4815e922d6a3072e087d70d1740de5b3958c1

3,946

py

Python

mtg/cards/views.py

thomasperrot/MTGTrader

36c2d4992bb5cfff48e36aeb48c0fc8122d8a8b0

[ "MIT" ]

5

2017-09-27T15:58:41.000Z

2020-08-30T02:33:58.000Z

mtg/cards/views.py

thomasperrot/MTGTrader

36c2d4992bb5cfff48e36aeb48c0fc8122d8a8b0

[ "MIT" ]

null

mtg/cards/views.py

thomasperrot/MTGTrader

36c2d4992bb5cfff48e36aeb48c0fc8122d8a8b0

[ "MIT" ]

2

2019-10-18T00:04:30.000Z

2021-06-06T10:14:41.000Z

""" @author: Thomas PERROT Contains views for cards app """ from datetime import date, timedelta from django.shortcuts import get_object_or_404 from django.http import HttpResponse from rest_framework import viewsets from rest_framework.decorators import list_route, detail_route from rest_framework.response import Response from . import serializers from . import tasks from .models import CardName, Card import stats import tournaments class CardNameViewSet(viewsets.ReadOnlyModelViewSet): """View for card names. """ queryset = CardName.objects.order_by('name') serializer_class = serializers.CardNameSerializer search_fields = ('name',) class CardViewSet(viewsets.ReadOnlyModelViewSet): """View for cards. """ queryset = Card.objects.order_by('name') serializer_class = serializers.CardSerializer search_fields = ('name', 'set') @list_route() def get_failed_mkm(self, request) -> Response: """Returns cards that have failed being crawled on magiccardmarket.eu. """ failed_cards = Card.objects.filter( is_relevant=True, price__isnull=True ).exclude( layout='double-faced' ) serializer = self.get_serializer(failed_cards, many=True) return Response(serializer.data) @detail_route() def get_prices(self, request, pk=None) -> Response: """Returns last month prices for the given card. """ card = get_object_or_404(Card, id=pk) prices = card.prices.filter(date__gte=date.today() - timedelta(days=30)) serializer = stats.serializers.PriceSerializer(prices, many=True) return Response(serializer.data) @detail_route() def get_playing_ratio(self, request, pk=None) -> Response: """Returns last month playing ratio for the given card. Tournaments are discreet and random events, so one single day can not be representative. We have to aggregate on tournaments over a certain period to avoid random results. The chosen period is 3 days. """ # TODO: This is to slow ! we need to compute it in the background ! card = get_object_or_404(Card, id=pk) card_name = card.name.name days_in_month = 30 aggregating_period = 3 playing_ratio = [] for i in range(0, days_in_month // aggregating_period, aggregating_period): played_cards = tournaments.models.Tournament.get_played_cards( date.today() - timedelta(days=i), date.today() - timedelta(days=i + aggregating_period)) playing_ratio.append({'date': date.today() - timedelta(days=i), 'ratio': played_cards[card_name] / sum(played_cards.values())}) return Response(playing_ratio) @detail_route() def get_statistics(self, request, pk=None) -> Response: """Returns all the statistics for the given card for ast month. """ card = get_object_or_404(Card, id=pk) stats = card.stats.filter(date__gte=date.today() - timedelta(30)) serializer = stats.serializers.StatisticsSerializer(stats, many=True) return Response(serializer.data) @detail_route() def get_features(self, request, pk=None) -> Response: """Returns today features for the given cards. """ card = get_object_or_404(Card, id=pk) features = card.features_set.filter(date=date.today()) return Response(features.features) def harvest_sets(request): """Temporary view to harvest all sets. """ # TODO: remove me tasks.harvest_sets.delay() return HttpResponse("<html><body>Harvesting all sets...</body></html>") def harvest_cards(request): """Temporary view to harvest all cards. """ # TODO: remove me tasks.harvest_cards.delay() return HttpResponse("<html><body>Harvesting all cards...</body></html>")

30.122137

111

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479

3,946

5.354906

0.311065

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0.021443

0.02729

0.322807

0.277193

0.203119

0.134503

0.061988

0

0.0079

0.230106

3,946

130

112

30.353846

0.836406

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0

0.169231

0

0.044553

0.028293

0

0.023077

0

1

0.107692

false

0

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0

null

0

null

0

1

0

1

0

2

29dd6fd0dca08aeb845fc7c16fd78c45477700cc

499

py

Python

server/test.py

SentyFunBall/valour-vapp

ec2c029f206fcb92b59b974cf1335fbfffa3ef9a

[ "MIT" ]

1

2021-01-16T18:01:51.000Z

server/test.py

SentyFunBall/valour-vapp

ec2c029f206fcb92b59b974cf1335fbfffa3ef9a

[ "MIT" ]

17

2021-01-16T08:40:53.000Z

2021-05-08T19:23:54.000Z

server/test.py

SentyFunBall/valour-vapp

ec2c029f206fcb92b59b974cf1335fbfffa3ef9a

[ "MIT" ]

3

2021-02-01T01:43:38.000Z

2021-02-02T12:31:48.000Z

import requests Base = 'http://127.0.0.1:5000/' # use this for the 'base_url' test server, later we will use the valour link def get(base_url, final): response = requests.get(base_url + final) return response.json().keys(), response.json().values() def post_something(base_url, final, something_key, something_value): dict_ = dict(zip(something_key, something_value)) response = requests.put(base_url + final, dict_) return response.json().keys(), response.json().values()

33.266667

109

0.713427

73

499

4.712329

0.479452

0.101744

0.139535

0.087209

0.232558

0

0.023585

0.150301

499

14

110

35.642857

0.787736

0.148297

0

0.222222

0

0.052009

0

1

0.222222

false

0

0.111111

0

0.555556

0

null

0

null

0

1

0

1

0

2

29ef1b852840c6c0dc2b43eee5c79b8731c777f0

201

py

Python

Dataset/Leetcode/train/125/98.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/125/98.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/125/98.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

class Solution: def XXX(self, s): if not s: return False a = '' for i in s: if i.isalnum(): a += i return a.lower() == a[::-1].lower()

18.272727

43

0.39801

27

201

2.962963

0.62963

0.075

0

0.009174

0.457711

201

10

44

20.1

0.724771

0

null

0

null

0

1

0

null

0

null

0

1

0

2

29f33b865aac93a714a08b6a6e0db850989b2213

250

py

Python

inheritance_example.py

youngvz/youngvz-python

ef64b1ba3de4f8d3c27bf0a9cbaef5b16f59fba2

[ "MIT" ]

null

inheritance_example.py

youngvz/youngvz-python

ef64b1ba3de4f8d3c27bf0a9cbaef5b16f59fba2

[ "MIT" ]

null

inheritance_example.py

youngvz/youngvz-python

ef64b1ba3de4f8d3c27bf0a9cbaef5b16f59fba2

[ "MIT" ]

null

class Robot: def greet(self): print('Hello Viraj') class RobotChild(Robot): def greet(self): print('Hello Scott') # Instantiate RobotChild Class child = RobotChild() # Invoke Greet method from RobotChild class child.greet()

19.230769

43

0.684

30

250

5.7

0.5

0.093567

0.152047

0.19883

0.315789

0

0.212

250

12

44

20.833333

0.86802

0.28

0

0.25

0

0.124294

0

1

0.25

false

0

0.5

0.25

0

null

0

1

0

null

0

1

0

2

29f87a6a467ebfb2792a3bb36c149a79b1bd2d16

415

py

Python

standard-demo/ogms/ogmsservice/base.py

franklinzhanggis/model-interoperable-engine

40b724813bec9af16f4ca95e36f8ff16be787315

[ "MIT" ]

null

standard-demo/ogms/ogmsservice/base.py

franklinzhanggis/model-interoperable-engine

40b724813bec9af16f4ca95e36f8ff16be787315

[ "MIT" ]

null

standard-demo/ogms/ogmsservice/base.py

franklinzhanggis/model-interoperable-engine

40b724813bec9af16f4ca95e36f8ff16be787315

[ "MIT" ]

null

from .utils import HttpHelper class Service: def __init__(self, ip, port): self.ip = ip self.port = port def getBaseURL(self): return "http://" + self.ip + ":" + str(self.port) + "/" def connect(self): strData = HttpHelper.Request_get_str_sync(self.ip, self.port, "/ping") if strData == "OK": return True else: return False

24.411765

78

0.546988

49

415

4.489796

0.530612

0.109091

0.090909

0

0.325301

415

16

79

25.9375

0.785714

0

0.038554

0

1

0.230769

false

0

0.076923

0.615385

0

null

0

null

0

1

0

1

0

2

29fb7e0e9462828210c1437d38360fc5f785fe70

183

py

Python

Basics/5/hi.py

mabdelaal86/python-courses

5e2be0df3c00eb084ec39d49402be38fac635097

[ "MIT" ]

1

2020-03-10T15:40:22.000Z

Basics/5/hi.py

mabdelaal86/python-courses

5e2be0df3c00eb084ec39d49402be38fac635097

[ "MIT" ]

null

Basics/5/hi.py

mabdelaal86/python-courses

5e2be0df3c00eb084ec39d49402be38fac635097

[ "MIT" ]

null

#!/usr/bin/env python3 def welcome(): print("Welcome") def hi(name): print("Hi " + name + "!") welcome() username = input("Who are there? ") hi(name=username) hi(username)

14.076923

35

0.617486

25

183

4.52

0.56

0.159292

0

0.006667

0.180328

183

12

36

15.25

0.746667

0.114754

0

0.161491

0

1

0.25

false

0

0.25

1

0

null

0

null

0

1

0

2

4b14373443d6331c2f1f5a413233ecd3a3313e64

13,685

py

Python

importers/htm.py

bliksemlabs/bliksemintegration

38f4a4b6e7ea28e8f5c4f7fe1a75868549ee4677

[ "BSD-2-Clause" ]

5

2015-11-13T09:46:18.000Z

2019-05-12T20:56:00.000Z

importers/htm.py

bliksemlabs/bliksemintegration

38f4a4b6e7ea28e8f5c4f7fe1a75868549ee4677

[ "BSD-2-Clause" ]

5

2015-07-11T00:40:01.000Z

2019-04-30T15:20:34.000Z

importers/htm.py

bliksemlabs/bliksemintegration

38f4a4b6e7ea28e8f5c4f7fe1a75868549ee4677

[ "BSD-2-Clause" ]

5

2015-07-15T09:35:54.000Z

2018-03-11T09:28:52.000Z

from kv1_811 import * from inserter import insert,version_imported,reject from bs4 import BeautifulSoup import urllib2 from settings.const import * from datetime import datetime,timedelta import logging logger = logging.getLogger("importer") getPool = getFakePool811 def getDataSource(): return { '1' : { 'operator_id' : 'HTM', 'name' : 'HTM KV1', 'description' : 'HTM Rail KV1 leveringen', 'email' : None, 'url' : None}} def setLineColors(): conn = psycopg2.connect(database_connect) cur = conn.cursor() cur.execute(""" update line set name= replace(name,publiccode||' ','') where operator_id like 'HTM:%'; UPDATE line SET color_shield = 'e72419', color_text = 'ffffff' WHERE publiccode = '1' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'ffc52d', color_text = '000000' WHERE publiccode = '2' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'be1fa1', color_text = 'ffffff' WHERE publiccode = '3' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'ef7100', color_text = '000000' WHERE publiccode = '4' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '59e759', color_text = '000000' WHERE publiccode = '5' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '009fe3', color_text = '000000' WHERE publiccode = '6' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '6040a0', color_text = 'ffffff' WHERE publiccode = '8' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '8dbb00', color_text = '000000' WHERE publiccode = '9' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '465c6b', color_text = 'ffffff' WHERE publiccode = '10' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'b27f66', color_text = '000000' WHERE publiccode = '11' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'e39fc9', color_text = '000000' WHERE publiccode = '12' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '8c7ad2', color_text = '000000' WHERE publiccode = '15' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '773d29', color_text = 'ffffff' WHERE publiccode = '16' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '003186', color_text = 'ffffff' WHERE publiccode = '17' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '00a788', color_text = '000000' WHERE publiccode = '19' and transportmode = 'TRAM' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '009fe3', color_text = '000000' WHERE publiccode = '18' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'ef7100', color_text = '000000' WHERE publiccode = '21' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'e39fc9', color_text = '000000' WHERE publiccode = '22' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '003186', color_text = 'ffffff' WHERE publiccode = '23' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'be1fa1', color_text = 'ffffff' WHERE publiccode = '24' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '773d29', color_text = 'ffffff' WHERE publiccode = '25' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '8dbb00', color_text = '000000' WHERE publiccode = '26' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = 'e72419', color_text = 'ffffff' WHERE publiccode = '28' and transportmode = 'BUS' and operator_id like 'HTM:%'; UPDATE line SET color_shield = '000000', color_text = 'f7ff00' WHERE publiccode like 'N%' and transportmode = 'BUS' and operator_id like 'HTM:%'; """) cur.close() conn.commit() conn.close() def generatePool(conn): cur = conn.cursor() cur.execute(""" CREATE TEMPORARY TABLE temp_pool as ( SELECT dataownercode,userstopcodebegin,userstopcodeend,transporttype,row_number() OVER (PARTITION BY dataownercode,userstopcodebegin,userstopcodeend,transporttype ORDER BY index) as index,locationx_ew,locationy_ns FROM ((SELECT DISTINCT ON (userstopcodebegin,userstopcodeend,transporttype) dataownercode,userstopcodebegin,userstopcodeend,transporttype,0 as index,locationx_ew,locationy_ns FROM pool JOIN point using (version,dataownercode,pointcode) ORDER BY userstopcodebegin,userstopcodeend,transporttype,distancesincestartoflink ASC) UNION (SELECT DISTINCT ON (userstopcodebegin,userstopcodeend,transporttype) dataownercode,userstopcodebegin,userstopcodeend,transporttype,99999 as index,locationx_ew,locationy_ns FROM pool JOIN point using (version,dataownercode,pointcode) ORDER BY userstopcodebegin,userstopcodeend,transporttype,distancesincestartoflink DESC) UNION SELECT dataownercode,userstopcodebegin,userstopcodeend,transporttype,(dp).path[1] as index,st_x((dp).geom)::integer as locationx_ew,st_y((dp).geom)::integer as locationy_ns FROM (SELECT dataownercode,userstopcodebegin,userstopcodeend,transporttype,st_dumppoints(geom) as dp FROM htm_pool_geom) as x) as pool ORDER BY dataownercode,userstopcodebegin,userstopcodeend,transporttype,index); DELETE FROM temp_pool WHERE userstopcodebegin||':'||userstopcodeend||':'||transporttype NOT in (SELECT DISTINCT userstopcodebegin||':'||userstopcodeend||':'||transporttype FROM htm_pool_geom); INSERT INTO POINT ( SELECT DISTINCT ON (locationx_ew,locationy_ns) 'POINT',1,'I' as implicit,'HTM','OG'||row_number() OVER (ORDER BY locationx_ew,locationy_ns),current_date as validfrom,'PL' as pointtype,'RD' as coordinatesystemtype,locationx_ew,locationy_ns,0 as locationz, NULL as description FROM temp_pool where locationx_ew||':'||locationy_ns not in (select distinct locationx_ew||':'||locationy_ns from point where version = 1) ); DELETE FROM pool WHERE userstopcodebegin||':'||userstopcodeend||':'||transporttype in (SELECT DISTINCT userstopcodebegin||':'||userstopcodeend||':'||transporttype FROM temp_pool) and version = 1; INSERT INTO pool( SELECT DISTINCT ON (version, dataownercode, userstopcodebegin, userstopcodeend, linkvalidfrom, pointcode, transporttype) 'POOL',l.version,'I',p.dataownercode,p.userstopcodebegin,p.userstopcodeend,l.validfrom as linkvalidfrom,p.dataownercode,pt.pointcode, SUM(coalesce(st_distance(st_setsrid(st_makepoint(p.locationx_ew,p.locationy_ns),28992),st_setsrid(st_makepoint(prev.locationx_ew,prev.locationy_ns),28992))::integer,0)) OVER (PARTITION BY l.version,p.dataownercode,p.userstopcodebegin,p.userstopcodeend,p.transporttype ORDER BY p.index ROWS between UNBOUNDED PRECEDING and 0 PRECEDING) as distancesincestartoflink, NULL as sgementspeed,NULL as localpointspeed,NULL as description,p.transporttype FROM temp_pool as p JOIN link as l USING (dataownercode,userstopcodebegin,userstopcodeend,transporttype) JOIN (SELECT DISTINCT ON (version,locationx_ew,locationy_ns) version,locationx_ew,locationy_ns,pointcode FROM POINT ) AS pt USING (locationx_ew,locationy_ns) LEFT JOIN temp_pool as prev ON (p.index = prev.index +1 AND p.transporttype = prev.transporttype AND p.userstopcodebegin = prev.userstopcodebegin AND p.userstopcodeend = prev.userstopcodeend)); """) def getMergeStrategies(conn): cur = conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) cur.execute(""" SELECT 'DATASOURCE' as type,'1' as datasourceref,min(validdate) as fromdate FROM operday GROUP BY dataownercode """) rows = cur.fetchall() cur.close() return rows def getOperator(): return { 'HTM' : {'privatecode' : 'HTM', 'operator_id' : 'HTM', 'name' : 'HTM', 'phone' : '0900-4864636', 'url' : 'http://www.htm.net', 'timezone' : 'Europe/Amsterdam', 'language' : 'nl'}, 'HTMBUZZ' : {'privatecode' : 'HTMBUZZ', 'operator_id' : 'HTMBUZZ', 'name' : 'HTMbuzz', 'phone' : '0900-4864636', 'url' : 'http://www.htmbuzz.nl', 'timezone' : 'Europe/Amsterdam', 'language' : 'nl'} } def getMergeStrategies(conn): cur = conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) cur.execute(""" SELECT 'DATASOURCE' as type,'1' as datasourceref,min(validfrom) as fromdate,max(validthru) as todate FROM schedvers GROUP BY dataownercode """) rows = cur.fetchall() cur.close() return rows def cleanDest(conn): cur = conn.cursor() cur.execute(""" UPDATE dest SET destnamefull = replace(destnamefull,'N1 ','') WHERE destnamefull like 'N1 %'; UPDATE dest SET destnamefull = replace(destnamefull,'N2 ','') WHERE destnamefull like 'N2 %'; UPDATE dest SET destnamefull = replace(destnamefull,'N3 ','') WHERE destnamefull like 'N3 %'; UPDATE dest SET destnamefull = replace(destnamefull,'N4 ','') WHERE destnamefull like 'N4 %'; UPDATE dest SET destnamefull = replace(destnamefull,'N5 ','') WHERE destnamefull like 'N5 %'; UPDATE dest SET destnamefull = replace(destnamefull,'N6 ','') WHERE destnamefull like 'N6 %'; UPDATE dest SET destnamefull = replace(destnamefull,'N7 ','') WHERE destnamefull like 'N7 %'; """) def import_zip(path,filename,version): meta,conn = load(path,filename) if datetime.strptime(meta['enddate'].replace('-',''),'%Y%m%d') < (datetime.now() - timedelta(days=1)): data = {} data['DATASOURCE'] = getDataSource() data['VERSION'] = {} data['VERSION']['1'] = {'privatecode' : 'HTM:'+filename, 'datasourceref' : '1', 'operator_id' : 'HTM:'+filename, 'startdate' : meta['startdate'], 'enddate' : meta['enddate'], 'error' : 'ALREADY_EXPIRED', 'description' : filename} logger.info('Reject '+filename+'\n'+str(data['VERSION']['1'])) reject(data) conn.commit() conn.close() return try: cleanDest(conn) if pool_generation_enabled: generatePool(conn) data = {} data['OPERATOR'] = getOperator() data['MERGESTRATEGY'] = getMergeStrategies(conn) data['DATASOURCE'] = getDataSource() data['VERSION'] = {} data['VERSION']['1'] = {'privatecode' : 'HTM:'+filename, 'datasourceref' : '1', 'operator_id' : 'HTM:'+filename, 'startdate' : meta['startdate'], 'enddate' : meta['enddate'], 'description' : filename} data['DESTINATIONDISPLAY'] = getDestinationDisplays(conn) data['LINE'] = getLineWithGeneratedNames(conn) data['STOPPOINT'] = getStopPoints(conn) data['STOPAREA'] = getStopAreas(conn) data['AVAILABILITYCONDITION'] = getAvailabilityConditionsUsingOperday(conn) data['PRODUCTCATEGORY'] = getBISONproductcategories() data['ADMINISTRATIVEZONE'] = getAdministrativeZones(conn) timedemandGroupRefForJourney,data['TIMEDEMANDGROUP'] = calculateTimeDemandGroups(conn) routeRefForPattern,data['ROUTE'] = clusterPatternsIntoRoute(conn,getPool811) data['JOURNEYPATTERN'] = getJourneyPatterns(routeRefForPattern,conn,data['ROUTE']) data['JOURNEY'] = getJourneys(timedemandGroupRefForJourney,conn) data['NOTICEASSIGNMENT'] = {} data['NOTICE'] = {} data['NOTICEGROUP'] = {} insert(data) conn.close() setLineColors() except: raise def download(url,filename): u = urllib2.urlopen(url) f = open('/tmp/'+filename, 'wb') meta = u.info() file_size = int(meta.getheaders("Content-Length")[0]) print "Downloading: %s Bytes: %s" % (filename, file_size) file_size_dl = 0 block_sz = 8192 while True: buffer = u.read(block_sz) if not buffer: break file_size_dl += len(buffer) f.write(buffer) status = r"%10d [%3.2f%%]" % (file_size_dl, file_size_dl * 100. / file_size) status = status + chr(8)*(len(status)+1) print status, print f.close() import_zip('/tmp',filename,None) url = 'http://data.ndovloket.nl/htm/' def sync(): f = urllib2.urlopen(url+'?order=d') soup = BeautifulSoup(f.read()) for link in soup.find_all('a'): link = link.get('href') filename = urllib2.unquote(link) if '.zip' in link.lower(): if not version_imported('HTM:'+filename): try: logger.info('Importing :'+filename) download(url+link,filename) except Exception as e: logger.error(filename,exc_info=True) pass

55.857143

168

0.656924

1,520

13,685

5.813816

0.211184

0.033948

0.036777

0.048093

0.549734

0.456942

0.395949

0.377504

0.37309

0

0.03011

0.220972

13,685

244

169

56.086066

0.798799

0

0.277533

0

0.145374

0.64114

0.170771

0

null

0.004405

0.052863

null

0.013216

0

null

0

1

0

null

0

1

0

2

4b1ca9d58dfd6c0273ef502c16e0f08a0c3bed83

184

py

Python

rollDice.py

fixture94/super-duper-sortmabob

b3c2eabe4ff2cccbcafae8d1fb7d88263705168c

[ "MIT" ]

null

rollDice.py

fixture94/super-duper-sortmabob

b3c2eabe4ff2cccbcafae8d1fb7d88263705168c

[ "MIT" ]

null

rollDice.py

fixture94/super-duper-sortmabob

b3c2eabe4ff2cccbcafae8d1fb7d88263705168c

[ "MIT" ]

null

import random def rollDice(): roll = random.randrange(1, 6, 1); return roll; i=0 for x in range(1, 100): roll = rollDice(); arrayRolls[i]=[]; i=i+1;

18.4

38

0.532609

27

184

3.62963

0.62963

0.040816

0

0.070866

0.309783

184

9

39

20.444444

0.700787

0

1

0.111111

false

0

0.111111

0

0.333333

0

1

0

null

0

1

0

null

0

2

4b20429c4d9d87d427e6428dc530469cbbe0f379

408

py

Python

lib/stats.py

T-Mac/Handle

aef3d6ae020a1fe1d621f15ac3349cbe1d4e8477

[ "WTFPL" ]

7

2015-05-10T00:38:11.000Z

2021-06-07T23:06:06.000Z

lib/stats.py

T-Mac/Handle

aef3d6ae020a1fe1d621f15ac3349cbe1d4e8477

[ "WTFPL" ]

1

2017-04-23T19:03:09.000Z

2017-04-23T21:44:05.000Z

lib/stats.py

T-Mac/Handle

aef3d6ae020a1fe1d621f15ac3349cbe1d4e8477

[ "WTFPL" ]

3

2016-10-23T17:04:44.000Z

2019-04-30T20:42:29.000Z

import json import urllib2 import uuid def checkin(id): try: result=urllib2.urlopen('http://stats.kennytheserver.com/checkin?id=%s' %id).read() return True except: pass return False def has_internet(): try: response=urllib2.urlopen('http://74.125.134.100',timeout=5) return True except urllib2.URLError as err: pass return False def gen_id(): return uuid.uuid4().hex

18.545455

85

0.691176

59

408

4.745763

0.610169

0.064286

0.128571

0

0.051051

0.183824

408

21

86

19.428571

0.78979

0

0.333333

0

0.170543

0

1

0.166667

false

0.111111

0.166667

0.055556

0.611111

0

null

0

null

0

1

0

1

0

2

4b2362b8abe0447f222ff1476239c065266eebf5

1,138

py

Python

text/ToxicComments_MultiLabel/preprocess.py

kishorecbe/Tensorflow-Solutions

a158766633bc20ca4289096e4a5454a9e0d04e51

[ "Apache-2.0" ]

null

text/ToxicComments_MultiLabel/preprocess.py

kishorecbe/Tensorflow-Solutions

a158766633bc20ca4289096e4a5454a9e0d04e51

[ "Apache-2.0" ]

null

text/ToxicComments_MultiLabel/preprocess.py

kishorecbe/Tensorflow-Solutions

a158766633bc20ca4289096e4a5454a9e0d04e51

[ "Apache-2.0" ]

null

import re import pandas as pd def clean_str(x): s = x s = re.sub(r"[^A-Za-z0-9(),!?\'\`]", " ", s) s = re.sub(r"\'s", " \'s", s) s = re.sub(r"\'ve", " \'ve", s) s = re.sub(r"n\'t", " n\'t", s) s = re.sub(r"\'re", " \'re", s) s = re.sub(r"\'d", " \'d", s) s = re.sub(r"\'ll", " \'ll", s) s = re.sub(r",", " , ", s) s = re.sub(r"!", " ! ", s) s = re.sub(r"$", " \( ", s) s = re.sub(r"$", " \) ", s) s = re.sub(r"\?", " \? ", s) s = re.sub(r"\s{2,}", " ", s) s = re.sub(r'\S*(x{2,}|X{2,})\S*', "xxx", s) s = re.sub(r'[^\x00-\x7F]+', "", s) s = re.sub(r'"', "", s) s = s.strip().lower() return s def clean_data(file_name): data_set = pd.read_csv(file_name).fillna("sterby") data_set['comment_text'] = data_set['comment_text'].apply(lambda x: clean_str(x)) data_set['comment_text'] = data_set['comment_text'].str.strip() data_set.drop('id', axis=1, inplace=True) file_name = file_name.replace('.csv', '') data_set.to_csv(file_name + '_preprocess.csv', index=False, sep='\t') # clean_data('data/train.csv') clean_data('data/test.csv')

29.179487

85

0.485062

201

1,138

2.626866

0.268657

0.07197

0.181818

0.212121

0.376894

0.287879

0.270833

0.092803

0

0.010124

0.218805

1,138

38

86

29.947368

0.583802

0.024605

0

0.208484

0.018953

0

1

0.066667

false

0

0.066667

0

0.166667

0

null

0

1

0

null

0

2

d99beb55e8092e932dfa2da1e9c9ab8e2b6241ca

412

py

Python

scripts/build/special_case_namespaces.py

frontend-arch/devtools-frontend

907a14259687036ceac26b301d4fc9965327ec11

[ "BSD-3-Clause" ]

2

2021-04-25T19:26:02.000Z

2022-01-13T00:36:50.000Z

scripts/build/special_case_namespaces.py

frontend-arch/devtools-frontend

907a14259687036ceac26b301d4fc9965327ec11

[ "BSD-3-Clause" ]

1

2021-01-22T00:22:39.000Z

scripts/build/special_case_namespaces.py

emchap/devtools-frontend

65c824b5adc918400877f7f1d65f17c901e42421

[ "BSD-3-Clause" ]

4

2020-02-09T12:31:17.000Z

2021-09-02T12:56:58.000Z

# Copyright 2019 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import json from os import path special_case_namespaces_path = path.join(path.dirname(path.abspath(__file__)), 'special_case_namespaces.json') with open(special_case_namespaces_path) as json_file: special_case_namespaces = json.load(json_file)

37.454545

110

0.803398

65

412

4.846154

0.630769

0.139683

0.266667

0.15873

0.184127

0

0.011142

0.128641

412

10

111

41.2

0.866295

0.376214

0

0.110672

0

1

0

false

0

0.4

0

0.4

0

null

0

1

0

null

0

1

0

2

d99f81d9baec3a7d9ac843e917de10ed8f3e13a2

336

py

Python

farmbeats-server/soilmoisture.py

jimbobbennett/farmbeats-vnext-experimental

6d8e28a7d8ea97b2951819b39eb2402133f06b8d

[ "MIT" ]

5

2022-01-19T12:00:04.000Z

2022-03-15T23:12:04.000Z

farmbeats-server/soilmoisture.py

jimbobbennett/farmbeats-vnext-experimental

6d8e28a7d8ea97b2951819b39eb2402133f06b8d

[ "MIT" ]

null

farmbeats-server/soilmoisture.py

jimbobbennett/farmbeats-vnext-experimental

6d8e28a7d8ea97b2951819b39eb2402133f06b8d

[ "MIT" ]

2

2022-02-03T21:04:02.000Z

2022-03-14T19:34:31.000Z

from grove import adc class SoilMoistureSensor: def __init__(self, pin:int): self.__pin = pin self.__adc = adc.ADC() self.__moisture = -1 def capture_values(self) -> None: self.__moisture = self.__adc.read(self.__pin) @property def moisture(self) -> int: return self.__moisture

24

53

0.627976

41

336

4.682927

0.463415

0.109375

0

0.004065

0.267857

336

14

54

24

0.776423

0

1

0.272727

false

0

0.090909

0.545455

0

null

0

null

0

1

0

1

0

2

d9a204d0a12baea4c426311cb55cdf98dbb80706

135

py

Python

lekcja_w05g.py

pawel-gbr/pawel-gbr.github.io

69cae413b21ed59509751432929bb42a1991bd1c

[ "BSD-2-Clause" ]

null

lekcja_w05g.py

pawel-gbr/pawel-gbr.github.io

69cae413b21ed59509751432929bb42a1991bd1c

[ "BSD-2-Clause" ]

1

2018-09-26T16:20:08.000Z

2018-09-26T16:50:03.000Z

lekcja_w05g.py

pawel-gbr/pawel-gbr.github.io

69cae413b21ed59509751432929bb42a1991bd1c

[ "BSD-2-Clause" ]

null

thisdict = { "brand":"Ford", "model":"Mustang", "year":1964 } for x in thisdict.values(): print(x)

16.875

27

0.466667

14

135

4.5

0.857143

0

0.045977

0.355556

135

7

28

19.285714

0.678161

0

0.185185

0

1

0

false

0

0.142857

1

0

null

0

1

0

null

0

2

d9accc1fb4d8b635edfdd72c407d45917d34c963

305

py

Python

examples/houses.py

shwars/jturtle

e03c74781d32bc1f9f1600096e7a0d258ea01c6b

[ "MIT" ]

1

2020-01-16T00:38:47.000Z

examples/houses.py

shwars/jturtle

e03c74781d32bc1f9f1600096e7a0d258ea01c6b

[ "MIT" ]

null

examples/houses.py

shwars/jturtle

e03c74781d32bc1f9f1600096e7a0d258ea01c6b

[ "MIT" ]

null

import sys sys.path.append('d:\\work\\jturtle') from jturtle import * init() for _ in range(4): forward(40) right(90) done(True) turtle.forward(100) turtle.right(90) turtle.forward(100) turtle.right(90) turtle.forward(100) turtle.right(90) turtle.forward(100) turtle.right(90) turtle.done(True)

15.25

36

0.72459

49

305

4.489796

0.428571

0.159091

0.290909

0.4

0.554545

0

0.092251

0.111475

305

20

37

15.25

0.719557

0

0.470588

0

0.055556

0

1

0

false

0

0.117647

0

0.117647

0

null

0

1

0

null

0

2

d9b21dbccc30618399d20f8b7710f74cfec3ea4e

220

py

Python

contrib/wallettools/walletchangepass.py

cityfarmer-project/cityfarmer

484b21303c48d7c2bdd6b9159e534e15921be71c

[ "MIT" ]

null

contrib/wallettools/walletchangepass.py

cityfarmer-project/cityfarmer

484b21303c48d7c2bdd6b9159e534e15921be71c

[ "MIT" ]

null

contrib/wallettools/walletchangepass.py

cityfarmer-project/cityfarmer

484b21303c48d7c2bdd6b9159e534e15921be71c

[ "MIT" ]

null

from jsonrpc import ServiceProxy access = ServiceProxy("http://127.0.0.1:1006") pwd = raw_input("Enter old wallet passphrase: ") pwd2 = raw_input("Enter new wallet passphrase: ") access.walletpassphrasechange(pwd, pwd2)

36.666667

49

0.768182

30

220

5.566667

0.666667

0.095808

0.155689

0

0.060914

0.104545

220

5

50

44

0.786802

0

0.359091

0

1

0

false

0.6

0.2

0

0.2

0

null

0

1

0

null

0

1

0

2

d9b633a66de248c1022d1e0062944c182dc2465a

2,198

py

Python

calculator.py

sebkuip/minecraft-region-calculator

a16c448a76cceedc1bf3cac568650e7ad4cf9837

[ "MIT" ]

null

calculator.py

sebkuip/minecraft-region-calculator

a16c448a76cceedc1bf3cac568650e7ad4cf9837

[ "MIT" ]

null

calculator.py

sebkuip/minecraft-region-calculator

a16c448a76cceedc1bf3cac568650e7ad4cf9837

[ "MIT" ]

null

# A simple calculator to see the region/chunks/blocks depending on coordinates # You just enter your data in the format `T.X.Z`, with T being Type (B/C/R for Block, Chunk or Region respectively) and X and Z being the coordinates of the thing you want to calculate # When given a block type, the format also allows for entering a Y coordinate following the format `B.X.Y.Z` # The . may also be replaced by a , or a space. # When given a block it will give you the chunk and region coordinates this block is in # When given a chunk it shows what blocks it contains, and what region it is in # When given a region it shows the coordinates of the blocks it contains and the coordinates of the chunks it contains # Feel free to use this code anywhere. It's open source. If you want, please do link the github link. # Enjoy import re print("Please enter the coordinates you want to calculate following the format `T.X.Z` or `B.X.Y.Z`. For more details, consult the readme") while True: uinput = input("Input: ").strip().lower() if not re.search(r"^(([bcr][.,\s]-?\d+[.,\s]-?\d+)|(b[.,\s]-?\d+[.,\s]-?\d+[.,\s]-?\d+))$", uinput): # ^ start of line [bcr] for either of the 3 types. [.,\s] for seperators. -? for possible negative. \d+ for any lenght number. $ for end of line. | to split the regex in 2 parts, surounded with () each to group them. print("This isn't a valid input. Please follow the format `T.X.Z` or `B.X.Y.Z` for input. For more details, consult the readme") continue break uinput = re.split(r"[.,\s]+", uinput) if len(uinput) > 3: uinput.pop(2) utype = uinput[0] ux = int(uinput[1]) uz = int(uinput[2]) print(f"type: {utype} x: {ux} y: {uz}") if utype == "b": print(f"block {ux},{uz} is inside chunk {ux//16},{uz//16} and within region {ux//512},{uz//512}") elif utype == "c": print(f"chunk {ux},{uz} contains blocks {ux*16},{uz*16} to {(ux+1)*16-1},{(uz+1)*16-1} and is within region {ux//32},{uz//32}") elif utype == "r": print(f"region {ux},{uz} contains blocks {ux*512},{uz*512} to {(ux+1)*512-1},{(uz+1)*512-1} and contains chunks {ux*32},{uz*32} to {(ux+1)*32-1},{(uz+1)*32-1}") input("Press enter to close the program")

48.844444

220

0.661056

407

2,198

3.570025

0.326781

0.03097

0.027529

0.022712

0.123193

0.068135

0.028906

0

0.033776

0.178344

2,198

45

221

48.844444

0.770764

0.461328

0

0.272727

0.639693

0.130324

0

1

0

false

0

0.045455

0

0.045455

0.272727

0

null

0

1

0

null

0

2

d9bba264d93849eaccbd6bfbe0257541dc1f1f8b

484

py

Python

tests/shared/test_event_stream.py

Hyaxia/Bank-DDD-CQRS-ES

116e3eb3e93d549c1da53e6d506ab47667d77445

[ "MIT" ]

8

2020-10-27T09:46:20.000Z

2022-01-27T12:16:48.000Z

tests/shared/test_event_stream.py

Hyaxia/Bank-DDD-CQRS-ES

116e3eb3e93d549c1da53e6d506ab47667d77445

[ "MIT" ]

null

tests/shared/test_event_stream.py

Hyaxia/Bank-DDD-CQRS-ES

116e3eb3e93d549c1da53e6d506ab47667d77445

[ "MIT" ]

2

2021-05-29T08:11:48.000Z

2021-07-26T04:44:53.000Z

import pytest from dataclasses import FrozenInstanceError from bank_ddd_es_cqrs.shared.model import EventStream def test_default_version_on_new_event_stream_is_minus_one(): event_stream = EventStream([]) assert event_stream.version == -1 def test_event_stream_immutable(): event_stream = EventStream([]) with pytest.raises(FrozenInstanceError): event_stream.version = 2 with pytest.raises(FrozenInstanceError): event_stream.events = ['asd']

24.2

60

0.762397

58

484

6.017241

0.534483

0.22063

0.126075

0.200573

0.26361

0

0.004914

0.159091

484

19

61

25.473684

0.85258

0

0.333333

0

0.006237

0

0.083333

1

0.166667

false

0

0.25

0

0.416667

0

null

1

0

1

0

null

0

2