xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

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122

py

Python

mantrid/tests/__init__.py

epio/mantrid

1c699f1a4b33888b533c19cb6d025173f2160576

[ "BSD-3-Clause" ]

30

2015-01-01T00:32:47.000Z

2021-09-07T20:25:01.000Z

mantrid/tests/__init__.py

epio/mantrid

1c699f1a4b33888b533c19cb6d025173f2160576

[ "BSD-3-Clause" ]

null

mantrid/tests/__init__.py

epio/mantrid

1c699f1a4b33888b533c19cb6d025173f2160576

[ "BSD-3-Clause" ]

9

2015-05-12T05:09:12.000Z

2021-12-29T19:07:01.000Z

from .actions import ActionTests, LiveActionTests from .loadbalancer import BalancerTests from .client import ClientTests

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Python

tests/assets/syntaxerrorpackage/foo/one.py

mrcljx/grimp

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[ "BSD-2-Clause" ]

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2019-01-21T09:45:00.000Z

2022-02-21T11:20:09.000Z

tests/assets/syntaxerrorpackage/foo/one.py

mrcljx/grimp

258eee1e6aa4908fffc1962d82cd01a3f5fd395c

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2022-01-05T18:24:18.000Z

tests/assets/syntaxerrorpackage/foo/one.py

mrcljx/grimp

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2021-12-23T02:50:04.000Z

# Some comment x = 1 fromb . import two

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Python

src/ciptools/metadata.py

uwcip/python-ciptools

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[ "Apache-2.0" ]

null

src/ciptools/metadata.py

uwcip/python-ciptools

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[ "Apache-2.0" ]

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2021-08-17T17:52:26.000Z

2022-01-06T17:36:00.000Z

src/ciptools/metadata.py

uwcip/python-ciptools

7df1fcb98f843fe43395d04f50f38105580ddfe0

[ "Apache-2.0" ]

null

import importlib_metadata def version(package: str) -> str: try: return importlib_metadata.version(package) except importlib_metadata.PackageNotFoundError: return "0.0.0"

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py

Python

src/lovely/pytest/__init__.py

angry-penguins/penguins-pytest-docker

1382f8c8af23e263f6c95441b498b900e36c5641

[ "Apache-2.0" ]

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2018-01-10T15:21:59.000Z

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src/lovely/pytest/__init__.py

angry-penguins/penguins-pytest-docker

1382f8c8af23e263f6c95441b498b900e36c5641

[ "Apache-2.0" ]

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2019-01-18T13:59:51.000Z

2021-12-02T12:48:31.000Z

src/lovely/pytest/__init__.py

angry-penguins/penguins-pytest-docker

1382f8c8af23e263f6c95441b498b900e36c5641

[ "Apache-2.0" ]

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2022-03-31T01:09:24.000Z

class Test(object): pass

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py

Python

handlers/todo.py

makenew/serverless-python

cbfc860ab82de76c8a0a95167e5eea2fec665816

[ "MIT" ]

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2019-04-30T16:44:20.000Z

2021-12-25T23:23:41.000Z

handlers/todo.py

makenew/serverless-python

cbfc860ab82de76c8a0a95167e5eea2fec665816

[ "MIT" ]

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2020-03-28T20:29:38.000Z

2021-09-11T07:19:46.000Z

handlers/todo.py

makenew/serverless-python

cbfc860ab82de76c8a0a95167e5eea2fec665816

[ "MIT" ]

3

2019-11-21T08:29:14.000Z

2021-01-10T17:22:41.000Z

import json import toml version = toml.load("pyproject.toml")["tool"]["poetry"]["version"] def main(event, context): return {"statusCode": 200, "body": json.dumps({"data": "TODO", "version": version})}

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py

Python

gaussianlog2xyz.py

lr142/UniversalMolecularSystem

5caf56b2941a287fd63dcb60664c31847624a0cb

[ "CC0-1.0" ]

null

gaussianlog2xyz.py

lr142/UniversalMolecularSystem

5caf56b2941a287fd63dcb60664c31847624a0cb

[ "CC0-1.0" ]

null

gaussianlog2xyz.py

lr142/UniversalMolecularSystem

5caf56b2941a287fd63dcb60664c31847624a0cb

[ "CC0-1.0" ]

null

#!/usr/bin/python import UniversalMolecularSystem as UMS import sys UMS.MainAsGaussianLog2XYZ(len(sys.argv),sys.argv)

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5a03c096721dd766e86f2e48698b3b805df08dc2

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py

Python

cairo_planning_core/config.py

cairo-robotics/planning_core_rust

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[ "MIT" ]

null

cairo_planning_core/config.py

cairo-robotics/planning_core_rust

9a1ff401333276ee8199c682a3968cb7070b7719

[ "MIT" ]

null

cairo_planning_core/config.py

cairo-robotics/planning_core_rust

9a1ff401333276ee8199c682a3968cb7070b7719

[ "MIT" ]

null

import os _ROOT = os.path.abspath(os.path.dirname(__file__)) os.environ["config_path"] = os.path.join(_ROOT, 'data/config/') CONFIG_PATH = os.path.join(_ROOT, 'data/config/')

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5a2e95b8fbd18334b64cbb9cee408072bec4925f

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py

Python

src/vak/split/__init__.py

yardencsGitHub/vak

04da97b02ded5acccab437c2538d0a1ded3bef80

[ "BSD-3-Clause" ]

26

2019-03-04T20:08:57.000Z

2022-01-22T13:40:00.000Z

src/vak/split/__init__.py

yardencsGitHub/vak

04da97b02ded5acccab437c2538d0a1ded3bef80

[ "BSD-3-Clause" ]

379

2019-03-03T12:16:05.000Z

2022-03-29T13:44:46.000Z

src/vak/split/__init__.py

yardencsGitHub/vak

04da97b02ded5acccab437c2538d0a1ded3bef80

[ "BSD-3-Clause" ]

12

2019-11-22T21:19:19.000Z

2022-03-14T17:44:59.000Z

from . import algorithms from .split import dataframe

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py

Python

cyp/models/__init__.py

DaikiOnodera/pycrop-yield-prediction

335685d3aa6e609161737453c090f5c41b769213

[ "MIT" ]

93

2019-02-25T10:43:24.000Z

2022-03-29T18:58:17.000Z

cyp/models/__init__.py

hulaba/pycrop-yield-prediction

b4790dc2f87a73e8a0604e8c22466314090c5abf

[ "MIT" ]

7

2019-11-19T22:15:41.000Z

2022-01-03T19:56:00.000Z

cyp/models/__init__.py

hulaba/pycrop-yield-prediction

b4790dc2f87a73e8a0604e8c22466314090c5abf

[ "MIT" ]

47

2019-03-08T14:23:00.000Z

2022-03-30T20:24:36.000Z

from .convnet import ConvModel from .rnn import RNNModel

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py

Python

core/translator/__init__.py

zilohumberto/EcobiciStatistics

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[ "MIT" ]

null

core/translator/__init__.py

zilohumberto/EcobiciStatistics

fbd6c6ef9806cb55385f8cbc1acc9ebbc32a9868

[ "MIT" ]

null

core/translator/__init__.py

zilohumberto/EcobiciStatistics

fbd6c6ef9806cb55385f8cbc1acc9ebbc32a9868

[ "MIT" ]

null

from .translator import Translator from .csv_parser import CsvParser

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5a6b8c6d88980e9666d6b21182a50046df7487f4

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py

Python

src/api/domain/models/response_model.py

DenisioMytnysiano/lodetta

b321e14df78e6af129753fa1c1ea9ba2cb72e8db

[ "MIT" ]

null

src/api/domain/models/response_model.py

DenisioMytnysiano/lodetta

b321e14df78e6af129753fa1c1ea9ba2cb72e8db

[ "MIT" ]

null

src/api/domain/models/response_model.py

DenisioMytnysiano/lodetta

b321e14df78e6af129753fa1c1ea9ba2cb72e8db

[ "MIT" ]

null

from typing import List from pydantic import BaseModel class ResponseModel(BaseModel): data: List[BaseModel] code: int message: str

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py

Python

Codefights/arcade/code-arcade/level-3/21.Second-Rightmost-Zero-Bit/Python/solution1.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

7

2017-09-20T16:40:39.000Z

2021-08-31T18:15:08.000Z

Codefights/arcade/code-arcade/level-3/21.Second-Rightmost-Zero-Bit/Python/solution1.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

Codefights/arcade/code-arcade/level-3/21.Second-Rightmost-Zero-Bit/Python/solution1.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

# Python3 # 有限制修改區域 def secondRightmostZeroBit(n): return 2 ** [i for i, b in enumerate(bin(n)[2:][::-1]) if b == '0'][1]

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5a7eb29517a83087f5880ce4c35ce9b42afd434a

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py

Python

example_project/some_modules/third_modules/a95.py

Yuriy-Leonov/cython_imports_limit_issue

2f9e7c02798fb52185dabfe6ce3811c439ca2839

[ "MIT" ]

null

example_project/some_modules/third_modules/a95.py

Yuriy-Leonov/cython_imports_limit_issue

2f9e7c02798fb52185dabfe6ce3811c439ca2839

[ "MIT" ]

null

example_project/some_modules/third_modules/a95.py

Yuriy-Leonov/cython_imports_limit_issue

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[ "MIT" ]

null

class A95: pass

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ceb8fef1cc0e6387f1648c27bd672d1a83e46b50

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py

Python

chapter2/chapter2_type_hints_03.py

GoodMonsters/Building-Data-Science-Applications-with-FastAPI

d2218d225c5b93723ecf46c19619ed5d3f2473e6

[ "MIT" ]

107

2021-03-26T20:18:51.000Z

2022-03-26T03:38:08.000Z

chapter2/chapter2_type_hints_03.py

GoodMonsters/Building-Data-Science-Applications-with-FastAPI

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[ "MIT" ]

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2021-06-09T08:48:21.000Z

2021-12-27T09:04:43.000Z

chapter2/chapter2_type_hints_03.py

GoodMonsters/Building-Data-Science-Applications-with-FastAPI

d2218d225c5b93723ecf46c19619ed5d3f2473e6

[ "MIT" ]

58

2021-03-12T20:51:19.000Z

2022-03-27T15:49:49.000Z

from typing import List, Union l: List[Union[int, float]] = [1, 2.5, 3.14, 5]

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Python

easy_notifyer/telegram.py

Kuzyashin/easy_notifyer

340f198cd4fa8d0ced48fb5a03dd97f8f7a650e2

[ "MIT" ]

null

easy_notifyer/telegram.py

Kuzyashin/easy_notifyer

340f198cd4fa8d0ced48fb5a03dd97f8f7a650e2

[ "MIT" ]

null

easy_notifyer/telegram.py

Kuzyashin/easy_notifyer

340f198cd4fa8d0ced48fb5a03dd97f8f7a650e2

[ "MIT" ]

null

# pylint: disable=too-few-public-methods import uuid import logging from io import BytesIO from typing import BinaryIO, Dict, List, Optional, Tuple, Union from easy_notifyer.clients import AsyncRequests, Requests, Response from easy_notifyer.env import Env from easy_notifyer.utils import get_telegram_creds, run_sync logger = logging.getLogger(__name__) class TelegramBase: """Base class of telegram""" API_BASE_URL = Env.EASY_NOTIFYER_TELEGRAM_API_URL API_BASE_URL = API_BASE_URL[:-1] if API_BASE_URL.endswith('/') else API_BASE_URL def __init__( self, *, token: Optional[str] = None, chat_id: Optional[Union[int, List[int]]] = None, ): """ Args: token(str, optional): Telegram bot token. Can be use from environment variable `EASY_NOTIFYER_TELEGRAM_TOKEN`. To receive: https://core.telegram.org/bots#6-botfather. chat_id(int, list, optional): Chat ids for send message. Can be use from environment variable `EASY_NOTIFYER_TELEGRAM_CHAT_ID`. """ if token is None or chat_id is None: token, chat_id = get_telegram_creds() self._token = token self._chat_ids = [chat_id] if isinstance(chat_id, int) else chat_id self._base_api_url = f"{self.API_BASE_URL}/bot{self._token}/" @staticmethod def _response_handler(response: Response): """ Handle response from telegram api. If status code != 200 - make report to stdout by logging. Args: response(Reponse): instanse of Response """ if response.status_code != 200: logger.error('Send message to telegram error. Response: %s', response.json()) @staticmethod def _prepare_attach( *, attach: Union[bytes, str, BinaryIO, Tuple[str, Union[BinaryIO, bytes]]], filename: Optional[str] = None, ) -> Dict: """ Preparation of attach for sending to telegram Args: attach(bytes, str, binaryio, tuple): attach to send filename: filename Returns: {'document': (filename, b'file)} """ filename = filename or uuid.uuid4().hex files = {} if isinstance(attach, tuple) is True: files['document'] = attach elif isinstance(attach, bytes) is True: files['document'] = (filename, BytesIO(attach)) elif hasattr(attach, 'read') and isinstance(attach.read(0), bytes): files['document'] = (filename, attach) else: files['document'] = (filename, BytesIO(attach.encode())) return files class TelegramAsync(TelegramBase): """Async client for telegram""" def __init__( self, *, token: Optional[str] = None, chat_id: Optional[Union[int, List[int]]] = None, ): """ Args: token(str, optional): Telegram bot token. Can be use from environment variable `EASY_NOTIFYER_TELEGRAM_TOKEN`. To receive: https://core.telegram.org/bots#6-botfather. chat_id(int, list, optional): Chat ids for send message. Can be use from environment variable `EASY_NOTIFYER_TELEGRAM_CHAT_ID`. """ super().__init__(token=token, chat_id=chat_id) self._client = AsyncRequests() async def _send_post( self, *, method_api: str, params: Optional[Dict] = None, body: Optional[Dict] = None, data: Optional[Dict] = None, files: Optional[Dict] = None ) -> Response: """ Send async post request. Args: method_api(str): method of api telegram params(dict, optional): params of request. body(dict, optional): body of request. data(dict, optional): data of request. files(dict, optional): files of request in format ('filename.txt', b'filedata'). Returns: instance of Response. """ response = await self._client.post( url=self._base_api_url + method_api, params=params, body=body, data=data, files=files, ) await run_sync(self._response_handler, response) return response async def send_message(self, msg: str, **kwargs): """ Send message. Args: msg(str): text of message. **kwargs: disable_notification(bool): True to disable notification of message. disable_web_page_preview(bool): True to disable web preview for links. """ method_api = 'sendMessage' for chat_id in self._chat_ids: body = { 'chat_id': chat_id, 'text': msg, } if kwargs.get('disable_web_page_preview') is not None: body['disable_web_page_preview'] = True if kwargs.get('disable_notification') is not None: body['disable_notification'] = True await self._send_post(method_api=method_api, body=body) async def send_attach( self, attach: Union[bytes, str, BinaryIO, Tuple[str, Union[BinaryIO, bytes]]], *, msg: Optional[str] = None, filename: Optional[str] = None, **kwargs ): """ Send file. Args: attach (bytes, str, tuple): file to send. if tuple, then ('filename.txt', b'text of file'). msg (str, optional): text of message. filename(str, optional): filename if attach is string or bytes. **kwargs: disable_notification(bool): True to disable notification of message. """ method_api = 'sendDocument' files = await run_sync(self._prepare_attach, attach=attach, filename=filename) params = {} if msg is not None: params['caption'] = msg if kwargs.get('disable_notification') is not None: params['disable_notification'] = True for chat_id in self._chat_ids: params['chat_id'] = chat_id await self._send_post(method_api=method_api, params=params, files=files) class Telegram(TelegramBase): """Client of telegram""" def __init__( self, *, token: Optional[str] = None, chat_id: Optional[Union[int, List[int]]] = None, ): """ Args: token(str, optional): Telegram bot token. Can be use from environment variable `EASY_NOTIFYER_TELEGRAM_TOKEN`. To receive: https://core.telegram.org/bots#6-botfather. chat_id(int, list, optional): Chat ids for send message. Can be use from environment variable `EASY_NOTIFYER_TELEGRAM_CHAT_ID`. """ super().__init__(token=token, chat_id=chat_id) self._client = Requests() def _send_post( self, *, method_api: str, params: Optional[Dict] = None, body: Optional[Dict] = None, data: Optional[Dict] = None, files: Optional[Dict] = None, ) -> Response: """ Send post request. Args: method_api(str): method of api telegram params(dict, optional): params of request. body(dict, optional): body of request. data(dict, optional): data of request. files(dict, optional): files of request in format ('filename.txt', b'filedata'). Returns: instance of Response. """ response = self._client.post( url=self._base_api_url + method_api, params=params, body=body, data=data, files=files ) self._response_handler(response) return response def send_message(self, msg: str, **kwargs): """ Send message. Args: msg(str): text of message. **kwargs: disable_notification(bool): True to disable notification of message. disable_web_page_preview(bool): True to disable web preview for links. """ method_api = 'sendMessage' for chat_id in self._chat_ids: body = { 'chat_id': chat_id, 'text': msg, } if kwargs.get('disable_web_page_preview') is not None: body['disable_web_page_preview'] = True if kwargs.get('disable_notification') is not None: body['disable_notification'] = True self._send_post(method_api=method_api, body=body) def send_attach( self, attach: Union[bytes, str, BinaryIO, Tuple[str, Union[BinaryIO, bytes]]], *, msg: Optional[str] = None, filename: Optional[str] = None, **kwargs ): """ Send file. Args: attach (bytes, str, tuple): file to send. if tuple, then ('filename.txt', b'text of file'). msg (str, optional): text of message. filename(str, optional): filename if attach is string or bytes. **kwargs: disable_notification(bool): True to disable notification of message. """ method_api = 'sendDocument' files = self._prepare_attach(attach=attach, filename=filename) params = {} if msg is not None: params['caption'] = msg if kwargs.get('disable_notification') is not None: params['disable_notification'] = True for chat_id in self._chat_ids: params['chat_id'] = chat_id self._send_post(method_api=method_api, params=params, files=files)

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1

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0

5

0c80e3811dfbb8b927013576eab9eb2ddaac7877

1,081

py

Python

projects/golem_e2e/tests/test_builder_code/default_test_code.py

kangchenwei/keyautotest2

f980d46cabfc128b2099af3d33968f236923063f

[ "MIT" ]

null

projects/golem_e2e/tests/test_builder_code/default_test_code.py

kangchenwei/keyautotest2

f980d46cabfc128b2099af3d33968f236923063f

[ "MIT" ]

null

projects/golem_e2e/tests/test_builder_code/default_test_code.py

kangchenwei/keyautotest2

f980d46cabfc128b2099af3d33968f236923063f

[ "MIT" ]

null

description = 'Verify the default test code is correct' pages = ['common', 'index', 'tests', 'test_builder', 'code_editor'] def setup(data): common.access_golem(data.env.url, data.env.admin) index.create_access_project('test') common.navigate_menu('Tests') tests.create_access_random_test() click(test_builder.code_button) def test(data): code_editor.assert_line_value(0, '') code_editor.assert_line_value(1, 'description = \'\'') code_editor.assert_line_value(2, '') code_editor.assert_line_value(3, 'pages = []') code_editor.assert_line_value(4, '') code_editor.assert_line_value(5, 'def setup(data):') code_editor.assert_line_value(6, ' pass') code_editor.assert_line_value(7, '') code_editor.assert_line_value(8, 'def test(data):') code_editor.assert_line_value(9, ' pass') code_editor.assert_line_value(10, '') code_editor.assert_line_value(11, 'def teardown(data):') code_editor.assert_line_value(12, ' pass') code_editor.assert_line_value(13, '')

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0.408163

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0

0.020225

0.176688

1,081

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null

0

1

0

1

0

5

0c878f2711c657ff2b779a1c2ca7dc5bdf51b062

56

py

Python

Chem_Faiss/__init__.py

ritabratamaiti/Chem-Faiss

3793cb93c229c5042f5cf0afcb3865715fe68b97

[ "MIT" ]

9

2020-05-28T04:46:45.000Z

2022-01-02T13:24:55.000Z

Chem_Faiss/__init__.py

ritabratamaiti/Chem-Faiss

3793cb93c229c5042f5cf0afcb3865715fe68b97

[ "MIT" ]

null

Chem_Faiss/__init__.py

ritabratamaiti/Chem-Faiss

3793cb93c229c5042f5cf0afcb3865715fe68b97

[ "MIT" ]

2

2021-05-29T01:37:19.000Z

2021-09-15T03:54:25.000Z

from .pipeline import pipeline from .utils import *

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1

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1

0

5

0ca2556d3249ac2dad3ac15a2f94ec2e6e0a8228

158

py

Python

python/module.py

chaojie-fu/robotics_tutorial

12affebfe6cb3810cc1e8fde4c674ed077b926a5

[ "MIT" ]

1

2021-12-23T13:05:26.000Z

python/module.py

cyoahs/robotics_tutorial

3aed846c5e95eb32dbcdeebac0b22e54cd74ea02

[ "MIT" ]

null

python/module.py

cyoahs/robotics_tutorial

3aed846c5e95eb32dbcdeebac0b22e54cd74ea02

[ "MIT" ]

1

2020-04-06T11:25:51.000Z

import math print(math.log10(100)) import math as m print(m.log10(100)) from math import log10 print(log10(100)) from myfunc import my_func my_func(100)

12.153846

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0.753165

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4.034483

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158

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null

0

1

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1

0

5

0cb90085de871932f0f61f00ab009423a27b3316

1,096

py

Python

fseutil/tests/test_lib_pd7974_1_2019.py

fsepy/fseutil

a73e6d614ce27252bcbed61661124a00a7bc6a80

[ "Apache-2.0" ]

null

fseutil/tests/test_lib_pd7974_1_2019.py

fsepy/fseutil

a73e6d614ce27252bcbed61661124a00a7bc6a80

[ "Apache-2.0" ]

7

2020-02-07T09:44:44.000Z

2020-02-20T16:58:15.000Z

fseutil/tests/test_lib_pd7974_1_2019.py

fsepy/fseutil

a73e6d614ce27252bcbed61661124a00a7bc6a80

[ "Apache-2.0" ]

null

from fseutil.libstd.pd_7974_1_2019 import _test_eq_10_virtual_origin as test_eq_10_virtual_origin from fseutil.libstd.pd_7974_1_2019 import _test_eq_14_plume_temperature as test_eq_14_plume_temperature from fseutil.libstd.pd_7974_1_2019 import _test_eq_15_plume_velocity as test_eq_15_plume_velocity from fseutil.libstd.pd_7974_1_2019 import _test_eq_22_t_squared_fire_growth as test_eq_22_t_squared_fire_growth from fseutil.libstd.pd_7974_1_2019 import _test_eq_26_axisymmetric_ceiling_jet_temperature as test_eq_26_axisymmetric_ceiling_jet_temperature from fseutil.libstd.pd_7974_1_2019 import _test_eq_27_axisymmetric_ceiling_jet_velocity as test_eq_27_axisymmetric_ceiling_jet_velocity from fseutil.libstd.pd_7974_1_2019 import _test_eq_55_activation_of_heat_detector_device as test_eq_55_activation_of_heat_detector_device test_eq_10_virtual_origin() test_eq_14_plume_temperature() test_eq_15_plume_velocity() test_eq_22_t_squared_fire_growth() test_eq_26_axisymmetric_ceiling_jet_temperature() test_eq_27_axisymmetric_ceiling_jet_velocity() test_eq_55_activation_of_heat_detector_device()

68.5

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1

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null

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1

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1

0

5

0cbc3da5ccf365495deac91b92884ff6f5991a5d

55

py

Python

anuvaad-etl/anuvaad-extractor/ocr-content-handler/src/repositories/__init__.py

srihari-nagaraj/anuvaad

b09b01a033a033e97db6e404c088e0e6332053e4

[ "MIT" ]

null

anuvaad-etl/anuvaad-extractor/ocr-content-handler/src/repositories/__init__.py

srihari-nagaraj/anuvaad

b09b01a033a033e97db6e404c088e0e6332053e4

[ "MIT" ]

null

anuvaad-etl/anuvaad-extractor/ocr-content-handler/src/repositories/__init__.py

srihari-nagaraj/anuvaad

b09b01a033a033e97db6e404c088e0e6332053e4

[ "MIT" ]

null

from .ocr_document import DigitalDocumentRepositories

27.5

54

0.890909

5

55

9.6

1

0

0.090909

55

2

54

27.5

0.96

0

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0

1

0

1

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0

null

0

1

0

1

0

1

0

5

0cfad6e0e0aa7b49971f3e37e9b72d7509fd61b1

459

py

Python

examples/python/cpu/tensors/ocean_multiply_02.py

kant/ocean-tensor-package

fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d

[ "Apache-2.0" ]

27

2018-08-16T21:32:49.000Z

2021-11-30T10:31:08.000Z

examples/python/cpu/tensors/ocean_multiply_02.py

kant/ocean-tensor-package

fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d

[ "Apache-2.0" ]

null

examples/python/cpu/tensors/ocean_multiply_02.py

kant/ocean-tensor-package

fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d

[ "Apache-2.0" ]

13

2018-08-17T17:33:16.000Z

2021-11-30T10:31:09.000Z

import pyOcean_cpu as ocean A = ocean.asTensor([[0,0,1],[0,1,1],[1,0,0]],'r',ocean.bool) print("\n--------- A ---------") print(A) print("\n--------- A' ---------") print(A.T) print("\n--------- A * A ---------") print(ocean.multiply(A,A)) print("\n--------- A * A' ---------") print(ocean.multiply(A,A,'T')) print("\n--------- A' * A ---------") print(ocean.multiply(A,'T',A)) print("\n--------- A' * A' ---------") print(ocean.multiply(A,'T',A,'T'))

20.863636

60

0.43573

71

459

2.802817

0.211268

0.271357

0.211055

0.160804

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0.58794

0.447236

0

0.021792

0.100218

459

21

61

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0.358079

0

1

0

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0.071429

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0

null

1

0

1

0

null

0

1

0

5

0b24e36acb2a393f3754eec325e4466a42e037b4

40

py

Python

tests/components/spaceapi/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/spaceapi/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/spaceapi/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests for the spaceapi component."""

20

39

0.7

5

40

5.6

1

0

0.125

40

1

40

0.8

0.825

0

null

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true

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null

1

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0

1

0

1

0

null

0

1

0

5

0b2e5596d928e94cc2af4863fa94d1b105b4d374

183

py

Python

app/tweet/application/dislike_tweet/command.py

NovemberOscar/my-be-architecture

4ea1945c086f655efc5dc27b47080a1d2b77c782

[ "MIT" ]

2

2021-05-16T10:44:27.000Z

2021-05-17T15:15:33.000Z

app/tweet/application/dislike_tweet/command.py

NovemberOscar/not-so-minitweet

4ea1945c086f655efc5dc27b47080a1d2b77c782

[ "MIT" ]

null

app/tweet/application/dislike_tweet/command.py

NovemberOscar/not-so-minitweet

4ea1945c086f655efc5dc27b47080a1d2b77c782

[ "MIT" ]

null

from app.common.command import Command from dataclasses import dataclass from uuid import UUID @dataclass class DislikeTweet(Command): tweet_id: UUID disliked_user_id: UUID

18.3

38

0.797814

25

183

5.72

0.56

0.083916

0

0.15847

183

9

39

20.333333

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0

1

0

true

0

0.428571

0

0.857143

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0b516e9ff2c6a7374f3cc02f4a3e9eabd6f315d9

270

py

Python

exceptions.py

MarcMichalsky/Marvin

7f268165c58e11a40ab9e90780b0445aae40948a

[ "Apache-2.0" ]

null

exceptions.py

MarcMichalsky/Marvin

7f268165c58e11a40ab9e90780b0445aae40948a

[ "Apache-2.0" ]

null

exceptions.py

MarcMichalsky/Marvin

7f268165c58e11a40ab9e90780b0445aae40948a

[ "Apache-2.0" ]

null

class IssueStatusNotFoundException(Exception): def __init__(self, status_name: str): self.status_name = status_name def __str__(self): return f"No issue status with the name \"{self.status_name}\" could be found. Please check your config.yaml."

38.571429

117

0.718519

36

270

5.055556

0.638889

0.21978

0.230769

0

0.188889

270

6

118

45

0.83105

0

0.288889

0

1

0.4

false

0

0.2

0.8

0

null

1

0

1

0

null

0

1

0

1

0

5

0b756d40ca0f632cd6c2606055affe37f0cb4692

35

py

Python

111.py

Mr-zang-zero/test

52211ece95478b808c618b8e50342167f983346e

[ "Apache-2.0" ]

1

2021-02-03T02:18:05.000Z

111.py

Mr-zang-zero/test

52211ece95478b808c618b8e50342167f983346e

[ "Apache-2.0" ]

null

111.py

Mr-zang-zero/test

52211ece95478b808c618b8e50342167f983346e

[ "Apache-2.0" ]

null

import django django.get_version()

17.5

20

0.828571

5

35

5.6

0.8

0

0.085714

35

2

20

17.5

0.875

0

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true

0

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null

0

1

0

null

0

1

0

1

0

5

0bc07b6f09f607bfeba9a6fad761d512d285bd6b

178

py

Python

tests/app/conftest.py

nphilipp/duffy

536de1f74d38ec5f3c364c682678ec374c7e3723

[ "MIT" ]

null

tests/app/conftest.py

nphilipp/duffy

536de1f74d38ec5f3c364c682678ec374c7e3723

[ "MIT" ]

12

2021-11-19T16:54:00.000Z

2021-11-24T14:23:48.000Z

tests/app/conftest.py

nphilipp/duffy

536de1f74d38ec5f3c364c682678ec374c7e3723

[ "MIT" ]

null

import pytest from fastapi.testclient import TestClient from duffy.app.main import app @pytest.fixture(scope="session") def client() -> TestClient: return TestClient(app)

17.8

41

0.769663

23

178

5.956522

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0

0.134831

178

9

42

19.777778

0.88961

0

0.039326

0

1

0.166667

true

0

0.5

0.166667

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0

1

0

null

0

1

0

null

0

1

0

1

0

5

f01e389c45fb62ce35b78a4b7d4fc1edd645c16f

208

py

Python

Exam-Prep/Exam_19_Dec_2020/project/supply/food_supply.py

geodimitrov/PythonOOP_SoftUni

f1c6718c878b618b3ab3f174cd4d187bd178940b

[ "MIT" ]

1

2021-06-30T11:53:44.000Z

Exam-Prep/Exam_19_Dec_2020/project/supply/food_supply.py

geodimitrov/PythonOOP_SoftUni

f1c6718c878b618b3ab3f174cd4d187bd178940b

[ "MIT" ]

null

Exam-Prep/Exam_19_Dec_2020/project/supply/food_supply.py

geodimitrov/PythonOOP_SoftUni

f1c6718c878b618b3ab3f174cd4d187bd178940b

[ "MIT" ]

null

from project.supply.supply import Supply class FoodSupply(Supply): NEEDS_INCREASE = 20 def __init__(self): super().__init__(self.NEEDS_INCREASE) def __str__(self): return "food"

20.8

45

0.682692

25

208

5.12

0.64

0.203125

0

0.012346

0.221154

208

10

46

20.8

0.777778

0

0.019139

0

1

0.285714

false

0

0.142857

0.857143

0

1

0

null

1

0

null

0

1

0

1

0

5

f02fc92ecc5927c0049d9e3d33223dc2c98390f4

87

py

Python

game/admin.py

usmanfarooq619/django-tictactoe

c4220d226403acb1cdec702a9f9bd76f735e2162

[ "BSD-3-Clause" ]

18

2018-01-25T09:29:46.000Z

2021-08-02T09:58:52.000Z

game/admin.py

Vinay795-rgb/django-tictactoe

c4220d226403acb1cdec702a9f9bd76f735e2162

[ "BSD-3-Clause" ]

null

game/admin.py

Vinay795-rgb/django-tictactoe

c4220d226403acb1cdec702a9f9bd76f735e2162

[ "BSD-3-Clause" ]

16

2015-12-05T06:08:10.000Z

2021-07-29T14:46:11.000Z

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

12.428571

32

0.793103

13

87

5.307692

0.692308

0

0.137931

87

6

33

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0

true

0

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0

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null

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null

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0

5

f041a58d5dc0c3367242d8a7decfc3b6fe51de5b

38

py

Python

dthm4kaiako/ara_ako/__init__.py

uccser/dthm4kaiako

3a3b209a7b428a6f5bd136b6b431f49d7e8a2555

[ "MIT" ]

3

2018-12-10T07:03:02.000Z

2021-04-12T02:18:30.000Z

dthm4kaiako/ara_ako/__init__.py

uccser/dthm4kaiako

3a3b209a7b428a6f5bd136b6b431f49d7e8a2555

[ "MIT" ]

566

2018-09-30T02:54:28.000Z

2022-03-28T01:20:01.000Z

dthm4kaiako/ara_ako/__init__.py

uccser/dthm4kaiako

3a3b209a7b428a6f5bd136b6b431f49d7e8a2555

[ "MIT" ]

3

2019-04-04T19:53:39.000Z

2021-05-16T02:04:46.000Z

"""Module for Ara Ako application."""

19

37

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38

5.2

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1

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true

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1

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1

0

null

0

1

0

5

b2e21267cab72fa3a8e0ddcbb56af13b67b30108

322

py

Python

helpers/__init__.py

nonjosh/acgn-bot

e0472b12b20d75389dc85f3aca154a4e3748d27c

[ "MIT" ]

1

2020-12-17T04:14:26.000Z

helpers/__init__.py

nonjosh/acgn-bot

e0472b12b20d75389dc85f3aca154a4e3748d27c

[ "MIT" ]

null

helpers/__init__.py

nonjosh/acgn-bot

e0472b12b20d75389dc85f3aca154a4e3748d27c

[ "MIT" ]

1

2020-06-20T21:16:16.000Z

from helpers.functions import * from helpers.tg import TgHelper from helpers.cocomanhua import CocomanhuaHelper from helpers.wutuxs import WutuxsHelper from helpers.manhuagui import ManhuaguiHelper from helpers.esjzone import EsjzoneHelper from helpers.syosetu import SyosetuHelper from helpers.qiman6 import Qiman6Helper

35.777778

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322

7.205128

0.461538

0.313167

0

0.006897

0.099379

322

8

48

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0

1

0

true

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null

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0

null

0

1

0

1

0

1

0

5

b2e4c6e0a218b404b31dd4eeb6126044cf2a39a5

40

py

Python

foldamers/utilities/__init__.py

shirtsgroup/foldamers

b67c164aff31cf7b6ff64d7b121059b75eaaf14c

[ "MIT" ]

1

2020-06-30T19:02:50.000Z

foldamers/utilities/__init__.py

shirtsgroup/foldamers

b67c164aff31cf7b6ff64d7b121059b75eaaf14c

[ "MIT" ]

40

2020-01-16T00:42:58.000Z

2020-08-07T19:34:45.000Z

foldamers/utilities/__init__.py

shirtsgroup/foldamers

b67c164aff31cf7b6ff64d7b121059b75eaaf14c

[ "MIT" ]

3

2019-10-04T14:24:30.000Z

2020-05-13T16:04:46.000Z

from .util import * from .plot import *

13.333333

19

0.7

6

40

4.666667

0.666667

0

0.2

40

2

20

0.875

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true

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1

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null

0

1

0

null

0

1

0

1

0

5

653328a8f0e66b7f4391911811c5226535f1f99e

211

py

Python

easymodels/utils/constants.py

M4cs/EasyModels

4d3edfe0e678bfbcc0dcce5139ee3b5d482979d3

[ "FSFAP" ]

197

2019-08-14T05:13:13.000Z

2022-01-04T14:37:45.000Z

easymodels/utils/constants.py

M4cs/EasyModels

4d3edfe0e678bfbcc0dcce5139ee3b5d482979d3

[ "FSFAP" ]

1

2019-08-15T08:56:09.000Z

2019-08-21T00:27:02.000Z

easymodels/utils/constants.py

M4cs/EasyModels

4d3edfe0e678bfbcc0dcce5139ee3b5d482979d3

[ "FSFAP" ]

13

2019-08-14T06:40:18.000Z

2020-08-06T02:15:28.000Z

API_URL = "https://modelzoo.co/api/" HEADERS = { 'accept': 'application/json, text/plain, */*', 'referer': 'https://modelzoo.co', 'connection': 'keep-alive', 'content-type': 'application/json' }

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5.565217

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0.234375

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0.156398

211

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51

26.375

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0.646226

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1

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false

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1

0

null

1

0

1

0

1

0

null

0

5

653cb41c0aa07ce882e745f002a7b823e4e97a7b

263

py

Python

bua/caffe/__init__.py

RomeroBarata/bottom-up-attention.pytorch

a8ad05eaef0e75956df056588d789d595d2c4a24

[ "Apache-2.0" ]

3

2022-02-18T13:38:47.000Z

2022-03-30T11:30:35.000Z

bua/caffe/__init__.py

RomeroBarata/bottom-up-attention.pytorch

a8ad05eaef0e75956df056588d789d595d2c4a24

[ "Apache-2.0" ]

null

bua/caffe/__init__.py

RomeroBarata/bottom-up-attention.pytorch

a8ad05eaef0e75956df056588d789d595d2c4a24

[ "Apache-2.0" ]

null

from .config import add_bottom_up_attention_config from .modeling.backbone import build_bua_resnet_backbone from .modeling.rcnn import GeneralizedBUARCNN from .modeling.roi_heads import BUACaffeRes5ROIHeads from .modeling.rpn import StandardBUARPNHead, BUARPN

52.6

57

0.870722

33

263

6.69697

0.606061

0.217195

0

0.004184

0.091255

263

5

58

52.6

0.920502

0

1

0

true

0

1

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1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

e8ddf0c0648cab4a48dc8512fcb78b4c0936e9c5

93

py

Python

tools/Vitis-AI-Quantizer/vai_q_pytorch/pytorch_binding/pytorch_nndct/nn/__init__.py

hito0512/Vitis-AI

996459fb96cb077ed2f7e789d515893b1cccbc95

[ "Apache-2.0" ]

848

2019-12-03T00:16:17.000Z

2022-03-31T22:53:17.000Z

tools/Vitis-AI-Quantizer/vai_q_pytorch/pytorch_binding/pytorch_nndct/nn/__init__.py

wangyifan778/Vitis-AI

f61061eef7550d98bf02a171604c9a9f283a7c47

[ "Apache-2.0" ]

656

2019-12-03T00:48:46.000Z

2022-03-31T18:41:54.000Z

tools/Vitis-AI-Quantizer/vai_q_pytorch/pytorch_binding/pytorch_nndct/nn/__init__.py

wangyifan778/Vitis-AI

f61061eef7550d98bf02a171604c9a9f283a7c47

[ "Apache-2.0" ]

506

2019-12-03T00:46:26.000Z

2022-03-30T10:34:56.000Z

from pytorch_nndct.nn.modules import functional from .modules import * from .utils import *

18.6

47

0.795699

13

93

5.615385

0.615385

0.356164

0

0.139785

93

4

48

23.25

0.9125

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

e8e6d1fcbe5efe094dff9a190eea9e58b48c6cd7

102

py

Python

solarnet/preprocessing/__init__.py

afito-t/solar-panel-segmentation

47f681b06ac6d0931d4af8e4edab656a061f8f5b

[ "MIT" ]

null

solarnet/preprocessing/__init__.py

afito-t/solar-panel-segmentation

47f681b06ac6d0931d4af8e4edab656a061f8f5b

[ "MIT" ]

null

solarnet/preprocessing/__init__.py

afito-t/solar-panel-segmentation

47f681b06ac6d0931d4af8e4edab656a061f8f5b

[ "MIT" ]

null

from .masks import MaskMaker from .splits import ImageSplitter from .ortho_split import OrthoSplitter

25.5

38

0.852941

13

102

6.615385

0.692308

0

0.117647

102

3

39

34

0.955556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

333afa1e5ca2218b93af95dd93180061e7923698

194

py

Python

pflacs/__init__.py

qwilka/pflacs

b0913f22d2ad21ff25d64a108f78993da88966e3

[ "MIT" ]

null

pflacs/__init__.py

qwilka/pflacs

b0913f22d2ad21ff25d64a108f78993da88966e3

[ "MIT" ]

null

pflacs/__init__.py

qwilka/pflacs

b0913f22d2ad21ff25d64a108f78993da88966e3

[ "MIT" ]

null

"""`pflacs` means faster load-cases and parameter studies. """ from .pflacs import Premise, PflacsParam, Calc, Table, _empty from .subprocess_node import SubProc from .pyfunc_node import PyFunc

32.333333

61

0.78866

26

194

5.769231

0.730769

0.133333

0

0.123711

194

5

62

38.8

0.882353

0.283505

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

335033c481586c642d5661587969fa7833f67e5a

51

py

Python

services/abstract/__init__.py

tuannguyendang/montypython

c0b8ff7a8130e811ba16bfab8d5e013eac37f432

[ "Apache-2.0" ]

null

services/abstract/__init__.py

tuannguyendang/montypython

c0b8ff7a8130e811ba16bfab8d5e013eac37f432

[ "Apache-2.0" ]

null

services/abstract/__init__.py

tuannguyendang/montypython

c0b8ff7a8130e811ba16bfab8d5e013eac37f432

[ "Apache-2.0" ]

null

from .assignment_abstract_service import Assignment

51

0.921569

6

51

7.5

0.833333

0

0.058824

51

1

51

0.9375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6833605810d17ea88e029ce6a8b5d5b1011b0f26

23

py

Python

src/relstorage/adapters/oracle/tests/__init__.py

enfold/relstorage

9fcd526b537cb6537cc2ae33154b63096550f210

[ "ZPL-2.1" ]

40

2015-10-08T05:35:13.000Z

2022-03-28T23:50:06.000Z

src/relstorage/adapters/oracle/tests/__init__.py

enfold/relstorage

9fcd526b537cb6537cc2ae33154b63096550f210

[ "ZPL-2.1" ]

364

2015-03-23T15:25:42.000Z

2022-03-17T08:41:34.000Z

src/relstorage/adapters/oracle/tests/__init__.py

enfold/relstorage

9fcd526b537cb6537cc2ae33154b63096550f210

[ "ZPL-2.1" ]

33

2015-06-08T23:03:22.000Z

2022-03-21T08:25:53.000Z

# Oracle test package.

11.5

22

0.73913

3

23

5.666667

1

0

0.173913

23

1

23

0.894737

0.869565

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

6849914f6b3d3071ae22ea78c6897b7d07f9cab4

8,354

py

Python

blackpearl/things/hardware/outputs/matrix.py

offmessage/blackpearl

ffbba460fe7fc7fe4d7e3466f5ff13ea0c081fc5

[ "MIT" ]

null

blackpearl/things/hardware/outputs/matrix.py

offmessage/blackpearl

ffbba460fe7fc7fe4d7e3466f5ff13ea0c081fc5

[ "MIT" ]

null

blackpearl/things/hardware/outputs/matrix.py

offmessage/blackpearl

ffbba460fe7fc7fe4d7e3466f5ff13ea0c081fc5

[ "MIT" ]

null

from twisted.internet import defer from twisted.internet import reactor from .base import FlotillaOutput class Matrix(FlotillaOutput): """ Matrix There is much to do. Particularly look at .frames() """ module = "matrix" brightness = 40 pixels = [0, 0, 0, 0, 0, 0, 0, 0] scrollspeed = 0.1 status = 'STOPPED' active = None queue = [] workingframe = [] lastindex = 0 loop = False def reset(self): self.queue = [] self.brightness = 40 self.status = 'STOPPED' self.scrollspeed = 0.1 self.workingframe = [] self.lastindex = 0 self.loop = False self.steps = 1 self.pixels = [0, 0, 0, 0, 0, 0, 0, 0] self.update() def addText(self, text): for ch in text: i = ord(ch) self.queue.extend(ascii_letters[i]) def addColumn(self, column): """Bottom is 1, top is 128, we expect it bottom to top""" if isinstance(column, int): if 0 <= column <= 255: self.queue.append(column) return raise TypeError("column must be an integer between 0 and 255") if isinstance(column, list): if len(column) == 8: if set(column) in [{0},{1},{0,1}]: val = 0 for j in range(8): val = val + (2**j)*column[j] self.queue.append(val) return raise TypeError("column must be a list of len 8, consisting of {0,1}") def addFrame(self, frame): """left to right""" self.queue.extend(frame) def update(self): data = self.pixels + [self.brightness,] self.send(data) def next_frame(self): self.pixels = self.queue[:8] self.queue = self.queue[8:] self.update() def frames(self): self.scroller(steps=8) def scroll(self): self.scroller(steps=1) @defer.deferredGenerator def scroller(self, steps=1): self.steps = steps self.status = "RUNNING" finalindex = len(self.queue) - 7 while self.status == "RUNNING": for i in range(self.lastindex, len(self.queue), steps): if self.status != "RUNNING": # we are paused or stopped break self.lastindex = i chars = self.queue[i:i+8] if i == finalindex and not self.loop: self.status = "STOPPED" break if len(chars) < 8 and self.loop: chars += self.queue[:8-len(chars)] self.pixels = chars self.update() d = defer.Deferred() reactor.callLater(self.scrollspeed, d.callback, None) wfd = defer.waitForDeferred(d) yield wfd if self.status == 'RUNNING': self.broadcast({'scroller': 'step'}) if not self.loop: break if self.status == "RUNNING": self.lastindex = 0 self.broadcast({'scroller': 'loop'}) if self.status == 'STOPPED': self.broadcast({'scroller': 'finished'}) def pause(self): if self.status == "RUNNING": self.status = "PAUSED" elif self.status == "PAUSED": self.status = "RUNNING" self.scroller(self.steps) self.broadcast({'scroller': self.status.lower()}) ascii_letters = [ [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 96, 250, 250, 96, 0, 0], [0, 192, 192, 0, 192, 192, 0, 0], [40, 254, 254, 40, 254, 254, 40, 0], [36, 116, 214, 214, 92, 72, 0, 0], [98, 102, 12, 24, 48, 102, 70, 0], [12, 94, 242, 186, 236, 94, 18, 0], [32, 224, 192, 0, 0, 0, 0, 0], [0, 56, 124, 198, 130, 0, 0, 0], [0, 130, 198, 124, 56, 0, 0, 0], [16, 84, 124, 56, 56, 124, 84, 16], [16, 16, 124, 124, 16, 16, 0, 0], [0, 1, 7, 6, 0, 0, 0, 0], [16, 16, 16, 16, 16, 16, 0, 0], [0, 0, 6, 6, 0, 0, 0, 0], [6, 12, 24, 48, 96, 192, 128, 0], [124, 254, 142, 154, 178, 254, 124, 0], [2, 66, 254, 254, 2, 2, 0, 0], [70, 206, 154, 146, 246, 102, 0, 0], [68, 198, 146, 146, 254, 108, 0, 0], [24, 56, 104, 202, 254, 254, 10, 0], [228, 230, 162, 162, 190, 156, 0, 0], [60, 126, 210, 146, 158, 12, 0, 0], [192, 192, 142, 158, 240, 224, 0, 0], [108, 254, 146, 146, 254, 108, 0, 0], [96, 242, 146, 150, 252, 120, 0, 0], [0, 0, 102, 102, 0, 0, 0, 0], [0, 1, 103, 102, 0, 0, 0, 0], [16, 56, 108, 198, 130, 0, 0, 0], [36, 36, 36, 36, 36, 36, 0, 0], [0, 130, 198, 108, 56, 16, 0, 0], [64, 192, 138, 154, 240, 96, 0, 0], [124, 254, 130, 186, 186, 248, 120, 0], [62, 126, 200, 200, 126, 62, 0, 0], [130, 254, 254, 146, 146, 254, 108, 0], [56, 124, 198, 130, 130, 198, 68, 0], [130, 254, 254, 130, 198, 124, 56, 0], [130, 254, 254, 146, 186, 130, 198, 0], [130, 254, 254, 146, 184, 128, 192, 0], [56, 124, 198, 130, 138, 206, 78, 0], [254, 254, 16, 16, 254, 254, 0, 0], [0, 130, 254, 254, 130, 0, 0, 0], [12, 14, 2, 130, 254, 252, 128, 0], [130, 254, 254, 16, 56, 238, 198, 0], [130, 254, 254, 130, 2, 6, 14, 0], [254, 254, 112, 56, 112, 254, 254, 0], [254, 254, 96, 48, 24, 254, 254, 0], [56, 124, 198, 130, 198, 124, 56, 0], [130, 254, 254, 146, 144, 240, 96, 0], [120, 252, 132, 142, 254, 122, 0, 0], [130, 254, 254, 144, 152, 254, 102, 0], [100, 246, 178, 154, 206, 76, 0, 0], [192, 130, 254, 254, 130, 192, 0, 0], [254, 254, 2, 2, 254, 254, 0, 0], [248, 252, 6, 6, 252, 248, 0, 0], [254, 254, 12, 24, 12, 254, 254, 0], [194, 230, 60, 24, 60, 230, 194, 0], [224, 242, 30, 30, 242, 224, 0, 0], [226, 198, 142, 154, 178, 230, 206, 0], [0, 254, 254, 130, 130, 0, 0, 0], [128, 192, 96, 48, 24, 12, 6, 0], [0, 130, 130, 254, 254, 0, 0, 0], [16, 48, 96, 192, 96, 48, 16, 0], [1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 192, 224, 32, 0, 0, 0], [4, 46, 42, 42, 60, 30, 2, 0], [130, 254, 252, 18, 18, 30, 12, 0], [28, 62, 34, 34, 54, 20, 0, 0], [12, 30, 18, 146, 252, 254, 2, 0], [28, 62, 42, 42, 58, 24, 0, 0], [18, 126, 254, 146, 192, 64, 0, 0], [25, 61, 37, 37, 31, 62, 32, 0], [130, 254, 254, 16, 32, 62, 30, 0], [0, 34, 190, 190, 2, 0, 0, 0], [6, 7, 1, 1, 191, 190, 0, 0], [130, 254, 254, 8, 28, 54, 34, 0], [0, 130, 254, 254, 2, 0, 0, 0], [62, 62, 24, 28, 56, 62, 30, 0], [62, 62, 32, 32, 62, 30, 0, 0], [28, 62, 34, 34, 62, 28, 0, 0], [33, 63, 31, 37, 36, 60, 24, 0], [24, 60, 36, 37, 31, 63, 33, 0], [34, 62, 30, 50, 32, 56, 24, 0], [18, 58, 42, 42, 46, 36, 0, 0], [0, 32, 124, 254, 34, 36, 0, 0], [60, 62, 2, 2, 60, 62, 2, 0], [56, 60, 6, 6, 60, 56, 0, 0], [60, 62, 14, 28, 14, 62, 60, 0], [34, 54, 28, 8, 28, 54, 34, 0], [57, 61, 5, 5, 63, 62, 0, 0], [50, 38, 46, 58, 50, 38, 0, 0], [16, 16, 124, 238, 130, 130, 0, 0], [0, 0, 0, 238, 238, 0, 0, 0], [130, 130, 238, 124, 16, 16, 0, 0], [64, 192, 128, 192, 64, 192, 128, 0], [0, 0, 0, 0, 0, 0, 0, 0], ]

33.416

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0.436079

1,429

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2.547236

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0.208791

0.262912

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1

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1

0

1

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null

0

5

688357de164f569fe8790fcfcf905c09e822a90a

176

py

Python

py/problem_2.py

dfings/project-euler

f66389dcd8ff4e4d64fbd245cfdaebac7b9bd4ef

[ "Unlicense" ]

null

py/problem_2.py

dfings/project-euler

f66389dcd8ff4e4d64fbd245cfdaebac7b9bd4ef

[ "Unlicense" ]

null

py/problem_2.py

dfings/project-euler

f66389dcd8ff4e4d64fbd245cfdaebac7b9bd4ef

[ "Unlicense" ]

null

#!/usr/bin/env python from fibonacci import fibonacci from itertools import takewhile print(sum(filter(lambda x: x % 2 == 0, takewhile(lambda x: x < 4000000, fibonacci()))))

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68898e28e4b7737dad4e38ab8ce3227c2f40abc4

75

py

Python

src/pms/sensor/__init__.py

OllisGit/PyPMS

0f2a4fc591ac6f1b98fcdec387e84ae628917479

[ "MIT" ]

null

src/pms/sensor/__init__.py

OllisGit/PyPMS

0f2a4fc591ac6f1b98fcdec387e84ae628917479

[ "MIT" ]

null

src/pms/sensor/__init__.py

OllisGit/PyPMS

0f2a4fc591ac6f1b98fcdec387e84ae628917479

[ "MIT" ]

null

from .sensor import Sensor from .reader import SensorReader, MessageReader

25

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0

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5

688b21353e22a2ca95072fa9804ba027aded6448

278

py

Python

tests/test_config.py

lkorczowski/cleandata

dadfc2768c3b980ab0e4871ebd86eaeeb4b7eaaf

[ "MIT" ]

null

tests/test_config.py

lkorczowski/cleandata

dadfc2768c3b980ab0e4871ebd86eaeeb4b7eaaf

[ "MIT" ]

3

2020-04-11T16:59:22.000Z

2020-04-12T08:51:50.000Z

tests/test_config.py

lkorczowski/cleandata

dadfc2768c3b980ab0e4871ebd86eaeeb4b7eaaf

[ "MIT" ]

null

import pytest import os import getpass @pytest.mark.skipif(getpass.getuser()=='runner', reason="Not expecting to work in CI because data required locally") def test_Config(): from utils.config import Config assert os.path.split(Config.csv_files[0])[1].endswith('.csv')

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117

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null

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1

0

5

68a6673897fb1f8d954d49211d307ee1ac96ddf1

363

py

Python

server/mainsite/views.py

subhajeet2107/django-vue-cli-webpack-demo

60820cc33d718053760b87b2fb0fab83fdfa8cbd

[ "MIT" ]

null

server/mainsite/views.py

subhajeet2107/django-vue-cli-webpack-demo

60820cc33d718053760b87b2fb0fab83fdfa8cbd

[ "MIT" ]

null

server/mainsite/views.py

subhajeet2107/django-vue-cli-webpack-demo

60820cc33d718053760b87b2fb0fab83fdfa8cbd

[ "MIT" ]

null

from django.shortcuts import render from django.http import Http404 from django.http import HttpResponse, JsonResponse from django.http import HttpResponseRedirect, HttpResponsePermanentRedirect from django.shortcuts import get_object_or_404 from django.shortcuts import redirect def home(request): ctx = { } return render(request, 'mainsite/home.jinja', ctx)

33

75

0.831956

46

363

6.5

0.5

0.200669

0.190635

0.250836

0

0.018519

0.107438

363

11

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null

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5

d7bdbac98434c0964940509b14acdf446e0be8db

2,544

py

Python

python/testData/inspections/PyTypeCheckerInspection/InitializingTypingNamedTuple.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/inspections/PyTypeCheckerInspection/InitializingTypingNamedTuple.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyTypeCheckerInspection/InitializingTypingNamedTuple.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

import typing from typing import List MyTup2 = typing.NamedTuple("MyTup2", bar=int, baz=str) MyTup3 = typing.NamedTuple("MyTup2", [("bar", int), ("baz", str)]) class MyTup4(typing.NamedTuple): bar: int baz: str class MyTup5(typing.NamedTuple): bar: int baz: str foo = 5 class MyTup6(typing.NamedTuple): bar: int baz: str foo: int MyTup7 = typing.NamedTuple("MyTup7", names=List[str], ages=List[int]) # fail MyTup2(<warning descr="Expected type 'int', got 'str' instead">''</warning>, '') MyTup2(<warning descr="Expected type 'int', got 'str' instead">bar=''</warning>, baz='') MyTup2(baz='', <warning descr="Expected type 'int', got 'str' instead">bar=''</warning>) # ok MyTup2(5, '') MyTup2(bar=5, baz='') MyTup2(baz='', bar=5) # fail MyTup3(<warning descr="Expected type 'int', got 'str' instead">''</warning>, '') MyTup3(<warning descr="Expected type 'int', got 'str' instead">bar=''</warning>, baz='') MyTup3(baz='', <warning descr="Expected type 'int', got 'str' instead">bar=''</warning>) # ok MyTup3(5, '') MyTup3(bar=5, baz='') MyTup3(baz='', bar=5) # fail MyTup4(<warning descr="Expected type 'int', got 'str' instead">''</warning>, '') MyTup4(<warning descr="Expected type 'int', got 'str' instead">bar=''</warning>, baz='') MyTup4(baz='', <warning descr="Expected type 'int', got 'str' instead">bar=''</warning>) # ok MyTup4(5, '') MyTup4(bar=5, baz='') MyTup4(baz='', bar=5) # fail MyTup5(<warning descr="Expected type 'int', got 'str' instead">''</warning>, '') MyTup5(<warning descr="Expected type 'int', got 'str' instead">bar=''</warning>, baz='') MyTup5(baz='', <warning descr="Expected type 'int', got 'str' instead">bar=''</warning>) # ok MyTup5(5, '') MyTup5(bar=5, baz='') MyTup5(baz='', bar=5) # fail MyTup6(<warning descr="Expected type 'int', got 'str' instead">bar=''</warning>, baz='', <warning descr="Expected type 'int', got 'str' instead">foo=''</warning>) MyTup6(<warning descr="Expected type 'int', got 'str' instead">''</warning>, '', <warning descr="Expected type 'int', got 'str' instead">''</warning>) # ok MyTup6(bar=5, baz='', foo=5) MyTup6(5, '', 5) # fail MyTup7(<warning descr="Expected type 'List[str]', got 'str' instead">names="A"</warning>, <warning descr="Expected type 'List[int]', got 'int' instead">ages=5</warning>) MyTup7(<warning descr="Expected type 'List[str]', got 'str' instead">"A"</warning>, <warning descr="Expected type 'List[int]', got 'int' instead">5</warning>) # ok MyTup7(names=["A"], ages=[5]) MyTup7(["A"], [5])

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null

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5

d7f59021b96604787d7941663d2e67ca59b40ec0

76

py

Python

runner_master/runner/data/datasets/__init__.py

bigvideoresearch/SCC

f26cdb6aaf248b5112812dbdac1f1b5086aebccc

[ "MIT" ]

5

2021-09-15T21:48:55.000Z

2022-03-22T11:21:58.000Z

runner_master/runner/data/datasets/__init__.py

bigvideoresearch/SCC

f26cdb6aaf248b5112812dbdac1f1b5086aebccc

[ "MIT" ]

null

runner_master/runner/data/datasets/__init__.py

bigvideoresearch/SCC

f26cdb6aaf248b5112812dbdac1f1b5086aebccc

[ "MIT" ]

1

2021-08-20T08:40:15.000Z

import time from .base_dataset import * from .imglist_dataset_v2 import *

12.666667

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76

5.181818

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0.015625

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76

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true

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0

null

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1

0

1

0

5

d7f89bcca495dbe88eaaf0eb82ae3c128faf05d0

118

py

Python

twitter_clone/users/models/__init__.py

ag94e/Twitter_clone

037ab41b79e7c236a85bb0e9c0e892dfa3ba407a

[ "MIT" ]

null

twitter_clone/users/models/__init__.py

ag94e/Twitter_clone

037ab41b79e7c236a85bb0e9c0e892dfa3ba407a

[ "MIT" ]

null

twitter_clone/users/models/__init__.py

ag94e/Twitter_clone

037ab41b79e7c236a85bb0e9c0e892dfa3ba407a

[ "MIT" ]

null

from .fav import Fav from .profile import Profile from .reply import Reply from .rt import Rt from .tweet import Tweet

23.6

28

0.79661

20

118

4.7

0.35

0

0.161017

118

5

29

23.6

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0

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null

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null

0

1

0

1

0

1

0

5

0bef8285fa830efe3b043fc40f06f69f52dae8b5

870

py

Python

tests/models/test_helpers.py

thijsmie/imp_flask

2cad9f628c54572c02a5f893ef9c0cb1149b18ea

[ "MIT" ]

1

2019-06-13T07:28:02.000Z

tests/models/test_helpers.py

k-automation/imp_flask

2cad9f628c54572c02a5f893ef9c0cb1149b18ea

[ "MIT" ]

4

2016-12-06T11:25:36.000Z

2021-04-29T07:43:14.000Z

tests/models/test_helpers.py

k-automation/imp_flask

2cad9f628c54572c02a5f893ef9c0cb1149b18ea

[ "MIT" ]

2

2017-09-06T14:26:04.000Z

2018-02-03T18:55:36.000Z

from imp_flask.extensions import db from imp_flask.models.helpers import count from imp_flask.models.pypi import Package def test_count(): Package.query.delete() db.session.commit() assert 0 == count(Package.name, '') assert 0 == count(Package.name, '%') assert 0 == count(Package.name, '%', True) db.session.add(Package(name='packageA', summary='Test Package', latest_version='1.0.0')) db.session.commit() assert 0 == count(Package.name, '%') assert 1 == count(Package.name, '%', True) db.session.add(Package(name='packageB', summary='Test Package', latest_version='1.0.0')) db.session.commit() assert 0 == count(Package.name, 'package') assert 1 == count(Package.name, 'packagea') assert 0 == count(Package.name, 'package%') assert 2 == count(Package.name, 'package%', True)

32.222222

93

0.643678

115

870

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0.252174

0.218412

0.259928

0.205776

0.669675

0.637184

0.548736

0.384477

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0.021337

0.191954

870

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null

1

0

null

0

1

0

1

0

5

0bf259567b89b42e80e5966707c667cd90ee14fb

267

py

Python

LearnFunction/learnFunction.py

subash-kc/2022-01-04-Python

5ce51e4265bcd860a4e62423edef6ec9cd1437b4

[ "MIT" ]

1

2022-01-14T18:03:42.000Z

LearnFunction/learnFunction.py

subash-kc/2022-01-04-Python

5ce51e4265bcd860a4e62423edef6ec9cd1437b4

[ "MIT" ]

null

LearnFunction/learnFunction.py

subash-kc/2022-01-04-Python

5ce51e4265bcd860a4e62423edef6ec9cd1437b4

[ "MIT" ]

null

def thing_printer(): print("Print Something!!!") thing_printer() def thing_printer(first): print(first) thing_printer(1) def thing_printer(first, last): print(f"You enter the first name: {first} and last name: {last}") thing_printer("Subash", "KC")

16.6875

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4.710526

0.421053

0.402235

0.251397

0.223464

0

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267

15

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0

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0

null

1

0

null

0

1

0

1

0

5

0bf7304724c8eda786c29f2b22f74331343b9415

90

py

Python

parrot/parrot_exceptions.py

idptools/parrot

de4b6fe02188427de131c15e030a1ac140dbc7f4

[ "MIT" ]

7

2020-12-21T13:43:09.000Z

2022-02-08T03:05:09.000Z

parrot/parrot_exceptions.py

idptools/parrot

de4b6fe02188427de131c15e030a1ac140dbc7f4

[ "MIT" ]

null

parrot/parrot_exceptions.py

idptools/parrot

de4b6fe02188427de131c15e030a1ac140dbc7f4

[ "MIT" ]

null

class IOExceptionParrot(Exception): pass class ParrotException(Exception): pass

12.857143

35

0.755556

8

90

8.5

0.625

0.382353

0

0.177778

90

6

36

15

0.918919

0

0.5

0

1

0

true

0.5

0

0.5

0

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0

null

1

0

1

0

null

0

1

0

5

04084d8489d6374294b8f337be30fc48dcaa0233

4,540

py

Python

baekjoon/python/overflow_complaint_good.py

yskang/AlgorithmPracticeWithPython

f7129bd1924a7961489198f0ee052d2cd1e9cf40

[ "MIT" ]

null

baekjoon/python/overflow_complaint_good.py

yskang/AlgorithmPracticeWithPython

f7129bd1924a7961489198f0ee052d2cd1e9cf40

[ "MIT" ]

null

baekjoon/python/overflow_complaint_good.py

yskang/AlgorithmPracticeWithPython

f7129bd1924a7961489198f0ee052d2cd1e9cf40

[ "MIT" ]

null

# Title: 민원이 넘쳐흘러 # Link: https://www.acmicpc.net/problem/17423 import sys sys.setrecursionlimit(10 ** 6) read_single_int = lambda: int(sys.stdin.readline().strip()) read_list_int = lambda: list(map(int, sys.stdin.readline().strip().split(' '))) def solution(n: int, sizes: list, speakers: list): max_volume = 99999999999999 x_sub_y_coord, x_plus_y_coord, x_coord, y_coord = [], [], [], [] for i, (x, y) in enumerate(speakers): x_sub_y_coord.append((x-y, i, x+y)) x_plus_y_coord.append((x+y, i, x-y)) x_coord.append((x, i, y)) y_coord.append((y, i, x)) x_sub_y_coord = sorted(x_sub_y_coord, key=lambda z: (z[0], z[2])) x_plus_y_coord = sorted(x_plus_y_coord, key=lambda z: (z[0], z[2])) x_coord = sorted(x_coord, key=lambda z: (z[0], z[2])) y_coord = sorted(y_coord, key=lambda z: (z[0], z[2])) sames = [] prev_pos, prev_i, _ = x_sub_y_coord[0] for current_pos, current_i, _ in x_sub_y_coord[1:]: if current_pos == prev_pos: sames.append(prev_i) elif sames: prev_i = sames[0] while sames: prev_i = sames.pop() t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) sames = [] continue t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) prev_i = current_i _, prev_i, _ = x_plus_y_coord[0] for _, current_i, _ in x_plus_y_coord[1:]: if current_pos == prev_pos: sames.append(prev_i) elif sames: prev_i = sames[0] while sames: prev_i = sames.pop() t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) sames = [] continue t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) prev_i = current_i _, prev_i, _ = x_coord[0] for _, current_i, _ in x_coord[1:]: if current_pos == prev_pos: sames.append(prev_i) elif sames: prev_i = sames[0] while sames: prev_i = sames.pop() t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) sames = [] continue t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) prev_i = current_i _, prev_i, _ = y_coord[0] for _, current_i, _ in y_coord[1:]: if current_pos == prev_pos: sames.append(prev_i) elif sames: prev_i = sames[0] while sames: prev_i = sames.pop() t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) sames = [] continue t_max = (abs(speakers[current_i][0] - speakers[prev_i][0])+abs(speakers[current_i][1] - speakers[prev_i][1])) // (sizes[prev_i] + sizes[current_i]) t_max = max(0, t_max) max_volume = min(max_volume, t_max) prev_i = current_i return max_volume def main(): n = read_single_int() sizes = read_list_int() speakers = [] for _ in range(n): speakers.append(read_list_int()) print(solution(n, sizes, speakers)) if __name__ == '__main__': main()

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null

0

5

041e1d65b20f7fcdc49857903748727cecc29a16

2,426

py

Python

numba/tests/test_byteflow.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

6,620

2015-01-04T08:51:04.000Z

2022-03-31T12:52:18.000Z

numba/tests/test_byteflow.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

6,457

2015-01-04T03:18:41.000Z

2022-03-31T17:38:42.000Z

numba/tests/test_byteflow.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

930

2015-01-25T02:33:03.000Z

2022-03-30T14:10:32.000Z

""" Test byteflow.py specific issues """ import unittest from numba.tests.support import TestCase from numba.core.compiler import run_frontend class TestByteFlowIssues(TestCase): def test_issue_5087(self): # This is an odd issue. The exact number of print below is # necessary to trigger it. Too many or too few will alter the behavior. # Also note that the function below will not be executed. The problem # occurs at compilation. The definition below is invalid for execution. # The problem occurs in the bytecode analysis. def udt(): print print print for i in range: print print print print print print print print print print print print print print print print print print for j in range: print print print print print print print for k in range: for l in range: print print print print print print print print print print if print: for n in range: print else: print run_frontend(udt) def test_issue_5097(self): # Inspired by https://github.com/numba/numba/issues/5097 def udt(): for i in range(0): if i > 0: pass a = None # noqa: F841 run_frontend(udt) def test_issue_5680(self): # From https://github.com/numba/numba/issues/5680#issuecomment-625351336 def udt(): for k in range(0): if 1 == 1: ... if 'a' == 'a': ... run_frontend(udt) if __name__ == '__main__': unittest.main()

25.536842

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5

042a97102e36f3f37fcdf54d3ea6b908a81bfd05

214

py

Python

electronics_lab/drivers/__init__.py

Mattel/electronics_lab

41d99b8d1282d03865fc0934e6fdfdb65f9e4f90

[ "MIT" ]

2

2020-09-28T21:05:34.000Z

2021-09-29T10:10:56.000Z

electronics_lab/drivers/__init__.py

Mattel/electronics_lab

41d99b8d1282d03865fc0934e6fdfdb65f9e4f90

[ "MIT" ]

1

2021-11-15T17:49:10.000Z

electronics_lab/drivers/__init__.py

Mattel/electronics_lab

41d99b8d1282d03865fc0934e6fdfdb65f9e4f90

[ "MIT" ]

1

2020-09-28T21:30:46.000Z

# flake8: noqa from .driver import Driver from .rigolds1054z import RigolDS1054z from .siglentsdm3055 import SiglentSDM3055 from .siglentsdg1032x import SiglentSDG1032X from .siglentspd3303x import SiglentSPD3303X

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null

0

1

0

1

0

1

0

5

042fe7c08b1aa0223b88db67b8fda6593c243647

3,362

py

Python

src/utils/TestDataConverters.py

tvoesolncee/chess-ray-vision

9c42b8de07f2aecd077cd33ba6ff1ede0e74ca99

[ "WTFPL" ]

5

2020-10-13T20:16:57.000Z

2021-12-30T11:20:06.000Z

src/utils/TestDataConverters.py

tvoesolncee/chess-ray-vision

9c42b8de07f2aecd077cd33ba6ff1ede0e74ca99

[ "WTFPL" ]

null

src/utils/TestDataConverters.py

tvoesolncee/chess-ray-vision

9c42b8de07f2aecd077cd33ba6ff1ede0e74ca99

[ "WTFPL" ]

3

2020-10-13T20:17:02.000Z

2022-02-09T20:12:58.000Z

import unittest from label_converters import * class BasicTests(unittest.TestCase): # executed prior to each test def setUp(self): self.bstate1 = 'r1bk3r/p2pBpNp/n4n2/1p1NP2P/6P1/3P4/P1P1K3/q5b1' self.bstate2 = '3k3r/p2pBpNp/n4n2/1p1NP2P/6P1/3P4/P1P1K3/q5b1' self.bstate3 = 'rnbqkbnr-pppppppp-8-8-8-8-PPPPPPPP-RNBQKBNR' self.bstate4 = 'rnbqkbnr.?.pppppppp.?.8.?.8.?.8.?.8.?.PPPPPPPP.?.RNBQKBNR' # executed after each test def tearDown(self): pass def test_input1(self): delimiter='/' flat = convert_FEN_to_2d_char_array(self.bstate1, delimiter=delimiter) three_d = convert_to_3d_one_hot_array(flat, null_char = delimiter) back2flat = convert_one_hot_array_to_3d(three_d, null_char = delimiter) back_to_ef = convert_2d_char_array_to_FEN(back2flat, null_char = delimiter) self.assertEqual(str(flat), str(back2flat)) self.assertEqual(str(self.bstate1), str(back_to_ef)) def test_input2(self): delimiter='/' flat = convert_FEN_to_2d_char_array(self.bstate2, delimiter=delimiter) three_d = convert_to_3d_one_hot_array(flat, null_char = delimiter) back2flat = convert_one_hot_array_to_3d(three_d, null_char = delimiter) back_to_ef = convert_2d_char_array_to_FEN(back2flat, null_char = delimiter) self.assertEqual(str(flat), str(back2flat)) self.assertEqual(str(self.bstate2), str(back_to_ef)) def test_input3(self): delimiter='-' flat = convert_FEN_to_2d_char_array(self.bstate3, delimiter=delimiter) three_d = convert_to_3d_one_hot_array(flat, null_char = delimiter) back2flat = convert_one_hot_array_to_3d(three_d, null_char = delimiter) back_to_ef = convert_2d_char_array_to_FEN(back2flat, null_char = delimiter) self.assertEqual(str(flat), str(back2flat)) self.assertEqual(str(self.bstate3), str(back_to_ef)) def test_input4(self): delimiter='.?.' flat = convert_FEN_to_2d_char_array(self.bstate4, delimiter=delimiter) three_d = convert_to_3d_one_hot_array(flat, null_char = delimiter) back2flat = convert_one_hot_array_to_3d(three_d, null_char = delimiter) back_to_ef = convert_2d_char_array_to_FEN(back2flat, null_char = delimiter) self.assertEqual(str(flat), str(back2flat)) self.assertEqual(str(self.bstate4), str(back_to_ef)) def test_bad_inputs(self): self.assertRaises(AssertionError, convert_FEN_to_2d_char_array, 'a') self.assertRaises(ValueError, convert_FEN_to_2d_char_array, 'r1bk3r/p2pBpNp/n4n2/1p1NP2P/6P1/3P4/P1P1K3/q5b') self.assertRaises(ValueError, convert_FEN_to_2d_char_array, 'r1bk3r/p2pBp/n4n2/1p1NP2P/6P1/3P4/P1P1K3/q5b1') if __name__ == "__main__": unittest.main()

46.694444

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3,362

72

83

46.694444

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0.114754

false

0.016393

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0

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0

null

0

1

0

1

0

null

0

5

043d6b1969c077f835bb0ccc334ab5b390bd490c

4,142

py

Python

DSA/Python/src/dsa/lib/utils/tests/lists/test_copy.py

JackieMa000/problems

c521558830a0bbf67f94109af92d7be4397d0a43

[ "BSD-3-Clause" ]

null

DSA/Python/src/dsa/lib/utils/tests/lists/test_copy.py

JackieMa000/problems

c521558830a0bbf67f94109af92d7be4397d0a43

[ "BSD-3-Clause" ]

1

2020-10-23T04:06:56.000Z

DSA/Python/src/dsa/lib/utils/tests/lists/test_copy.py

JackieMa000/problems

c521558830a0bbf67f94109af92d7be4397d0a43

[ "BSD-3-Clause" ]

null

from dsa.lib.utils import lists from dsa.lib.utils.tests.fixture import ListTestCase class CopyTestCase(ListTestCase): @staticmethod def copy(src, src_pos, des, des_pos, n): lists.copy(src, src_pos, des, des_pos, n) def test_illegalArgument(self): x = [1] y = [0] * len(x) self.assertRaises(IndexError, self.copy, x, 1, y, 0, len(x)) def test_copy0Elements_nothingChanged(self): x = [1] y = [0] * len(x) self.copy(x, 0, y, 0, 0) self.assertEqual([0], y) def test_empty_nothingChanged(self): x = [] y = [] self.copy(x, 0, y, 0, 0) self.assertEqual([], y) def test_oneElement(self): x = [1] y = [0] * len(x) self.copy(x, 0, y, 0, 1) self.assertEqual([1], y) def assertCopy(self, expected, src, src_pos, des, des_pos, n): self.copy(src, src_pos, des, des_pos, n) self.assertEqual(expected, des) def test_copy_all(self): x = [0, 1] y = [0] * len(x) self.copy(x, 0, y, 0, len(x)) self.assertEqual(x, y) self.assertIsNot(x, y) def test_copy_sublist(self): x = [1, 2] y = [0] self.copy(x, 0, y, 0, 1) self.assertEqual(x[:1], y) self.assertIsNot(x[:1], y) def test_recursive_copy(self): x = [[1], [2]] y = [[0], [0]] self.copy(x, 0, y, 0, 2) self.assertEqual(x, y) self.assertIsNot(x, y) self.assertEqual(x[0], y[0]) self.assertIsNot(x[0], y[0]) def test_object_list(self): x = [self.C(1), self.C(2)] y = [0] * len(x) self.copy(x, 0, y, 0, 2) self.assertEqual(x, y) self.assertAllIsNot(x, y) class CopyOfTestCase(ListTestCase): def test_illegalArgument(self): x = [1] self.assertRaises(IndexError, lists.copyOf, x, 2) def test_copy0Elements_returnEmptyList(self): x = [1] y = lists.copyOf(x, 0) self.assertEqual([], y) def test_empty(self): x = [] y = lists.copyOf(x, len(x)) self.assertEqual(x, y) self.assertIsNot(x, y) def test_oneElement(self): x = [1] y = lists.copyOf(x, len(x)) self.assertEqual(x, y) self.assertIsNot(x, y) def test_copy_all(self): x = [1, 2] y = lists.copyOf(x, len(x)) self.assertEqual(x, y) self.assertIsNot(x, y) def test_copy_sublist(self): x = [1, 2] y = lists.copyOf(x, 1) self.assertEqual(x[:1], y) self.assertIsNot(x[:1], y) def test_recursive_copy(self): x = [[1], [2]] y = lists.copyOf(x, 2) self.assertEqual(x, y) self.assertIsNot(x, y) self.assertEqual(x[0], y[0]) self.assertIsNot(x[0], y[0]) def test_object_list(self): x = [self.C(1), self.C(2)] y = lists.copyOf(x, 2) self.assertEqual(x, y) self.assertAllIsNot(x, y) class CopyOfRangeTestCase(ListTestCase): def test_illegalArgument(self): x = [1, 2, 3] self.assertRaises(IndexError, lists.copyOfRange, x, 2, 1) def test_copy0Elements_returnEmptyList(self): x = [1] y = lists.copyOfRange(x, 0, 0) self.assertEqual([], y) def test_oneElement(self): x = [1] y = lists.copyOfRange(x, 0, 1) self.assertEqual(x, y) self.assertIsNot(x, y) def test_copy_all(self): x = [1, 2] y = lists.copyOfRange(x, 0, len(x)) self.assertEqual(x, y) self.assertIsNot(x, y) def test_copy_sublist(self): x = [1, 2] y = lists.copyOfRange(x, 0, 1) self.assertEqual(x[:1], y) self.assertIsNot(x[:1], y) def test_recursive_copy(self): x = [[1], [2]] y = lists.copyOfRange(x, 0, len(x)) self.assertEqual(x, y) self.assertIsNot(x, y) def test_object_list(self): x = [self.C(1), self.C(2)] y = lists.copyOfRange(x, 0, 2) self.assertEqual(x, y) self.assertAllIsNot(x, y)

23.534091

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0.529937

589

4,142

3.646859

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0.024209

0.047486

0.094972

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0.581937

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0.035689

0.316755

4,142

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23.668571

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0.19685

false

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0

null

0

1

0

1

0

null

0

5

f0a6f6ea2fe66eacc419eb43d227400c5a4fdab4

61

py

Python

ceol/player/models/__init__.py

pythify/backend-pithify

ac845bd96769d3cda1e32ea5c141598f0529db19

[ "MIT" ]

null

ceol/player/models/__init__.py

pythify/backend-pithify

ac845bd96769d3cda1e32ea5c141598f0529db19

[ "MIT" ]

null

ceol/player/models/__init__.py

pythify/backend-pithify

ac845bd96769d3cda1e32ea5c141598f0529db19

[ "MIT" ]

null

from .catalogues import Artist, Album from .songs import Song

30.5

37

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61

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61

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null

0

1

0

1

0

1

0

5

f0db8e1f235d388095fcc18cc52dc40e4cec32d6

156

py

Python

14_Tran_An_Thien/ManagementStudents/student/admin.py

lpython2006e/exercies

84343eae57d86708a7984aa02f77183a4688a508

[ "MIT" ]

null

14_Tran_An_Thien/ManagementStudents/student/admin.py

lpython2006e/exercies

84343eae57d86708a7984aa02f77183a4688a508

[ "MIT" ]

null

14_Tran_An_Thien/ManagementStudents/student/admin.py

lpython2006e/exercies

84343eae57d86708a7984aa02f77183a4688a508

[ "MIT" ]

8

2020-07-10T14:13:54.000Z

2020-08-03T08:17:50.000Z

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

22.285714

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null

0

1

0

1

0

5

0b1bee2605d1bbface2f6abcb133f4725ae44f16

1,535

py

Python

benchmark.py

nKolja/SIKE-zero-value-attacks

f53496b382740a02556e07df2e1afd4c62f03ddb

[ "MIT" ]

null

benchmark.py

nKolja/SIKE-zero-value-attacks

f53496b382740a02556e07df2e1afd4c62f03ddb

[ "MIT" ]

null

benchmark.py

nKolja/SIKE-zero-value-attacks

f53496b382740a02556e07df2e1afd4c62f03ddb

[ "MIT" ]

null

import os import subprocess import math import random subprocess.call(['make', '-silent', 'clean']) for p in [434, 503, 610, 751]: subprocess.call(['make', '-silent', 'PRIME_SIZE='.strip() + str(p), 'tests']) print("!=!=!=!=!=!=!=!=!=!=!=!=!!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") print("!=!=!=!=!=!=!=!=!=! PRIME_SIZE=".strip() + str(p).strip() + " !=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") print("!=!=!=!=!=!=!=!=!=!=!=!=!=!!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") print("\n\n") print("!=!=!=!=!=!=!=!=!=!=!=!=!=!!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") print("!=!=!=!=!=!=!=!=!=! COUNTERMEASURE OFF !=!=!=!=!=!=!=!=!=!=! ") print("!=!=!=!=!=!=!=!=!=!=!=!=!=!=!!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") subprocess.call(['./sike'.strip() + str(p).strip() + '/test_SIKE']) subprocess.call(['./sidh'.strip() + str(p).strip() + '/test_SIDH']) subprocess.call(['make', '-silent', 'clean']) subprocess.call(['make', '-silent', 'PRIME_SIZE='.strip() + str(p), 'tests', 'COUNTERMEASURE=YES']) print("\n\n") print("!=!=!=!=!=!=!=!=!=!=!=!=!=!=!!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") print("!=!=!=!=!=!=!=!=!=!=! COUNTERMEASURE ON !=!=!=!=!=!=!=!=!=! ") print("!=!=!=!=!=!=!=!=!=!=!=!=!=!=!=!!=!=!=!=!=!=!=!=!=!=!=!=!=!=! ") subprocess.call(['./sike'.strip() + str(p).strip() + '/test_SIKE']) subprocess.call(['./sidh'.strip() + str(p).strip() + '/test_SIDH']) subprocess.call(['make', '-silent', 'clean']) print("\n\n")

40.394737

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1

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null

0

1

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5

9bd6dc1ff097bd4577ef1ec097561b6610bc7545

212

py

Python

spirit/comment/poll/apps.py

Ke-xueting/Spirit

346d9a0db125ee8995ba5d0ab0fd8b43aa8c5dc7

[ "MIT" ]

974

2015-01-02T12:56:00.000Z

2022-03-24T00:01:54.000Z

spirit/comment/poll/apps.py

Ke-xueting/Spirit

346d9a0db125ee8995ba5d0ab0fd8b43aa8c5dc7

[ "MIT" ]

247

2015-01-07T02:59:26.000Z

2022-02-23T08:27:57.000Z

spirit/comment/poll/apps.py

BinaryTree0/fer3

85c3bbf2f328e69ad4d7c01b6e2c8d4ef1d9e0a3

[ "MIT" ]

366

2015-01-08T10:22:25.000Z

2022-02-21T12:58:31.000Z

# -*- coding: utf-8 -*- from django.apps import AppConfig class SpiritCommentPollConfig(AppConfig): name = 'spirit.comment.poll' verbose_name = "Spirit Comment Poll" label = 'spirit_comment_poll'

19.272727

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10

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1

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null

1

0

null

0

1

0

5

50018dc65ebe90d6d227998401be2dd1ce79a2b9

143

py

Python

logical/converter/qiskit/transpiler/_transpilererror.py

malcolmregan/GateCircuit-to-AnnealerEmbedding

33a1a4ea2ebd707ade0677e0df468d5120a861db

[ "Apache-2.0" ]

null

logical/converter/qiskit/transpiler/_transpilererror.py

malcolmregan/GateCircuit-to-AnnealerEmbedding

33a1a4ea2ebd707ade0677e0df468d5120a861db

[ "Apache-2.0" ]

1

2019-04-09T02:22:38.000Z

logical/converter/qiskit/transpiler/_transpilererror.py

malcolmregan/GateCircuit-to-AnnealerEmbedding

33a1a4ea2ebd707ade0677e0df468d5120a861db

[ "Apache-2.0" ]

null

from converter.qiskit import QISKitError class TranspilerError(QISKitError): pass class TranspilerAccessError(QISKitError): pass

11.916667

41

0.783217

13

143

8.615385

0.692308

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0

0.167832

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11

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null

1

0

null

0

1

0

1

0

5

5024d06d7fc727642b606dd88c21a7cfd9d49a8a

90

py

Python

t40.py

tarunagarwal99/python

13dbf4c4226430a3436d91d60f234827a05a6e0e

[ "MIT" ]

null

t40.py

tarunagarwal99/python

13dbf4c4226430a3436d91d60f234827a05a6e0e

[ "MIT" ]

null

t40.py

tarunagarwal99/python

13dbf4c4226430a3436d91d60f234827a05a6e0e

[ "MIT" ]

null

str="tarun" print(str[0:3]) print(str[1: ]) print(str[1:-1]) print(str[-4: ]) print

12.857143

17

0.566667

17

90

3

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0.352941

0

0.078947

0.155556

90

6

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0.592105

0

0.059524

0

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false

0

0.833333

1

0

null

1

0

1

0

null

0

1

0

5

5035ffa71944dc392a12d2fa841e4afb439bb800

25

py

Python

lib/shp/shp.py

nayas360/terminal_emulator

ffce98ce55aad7034c103547847e9f6c835df7e6

[ "MIT" ]

1

2022-03-09T19:29:44.000Z

lib/shp/shp.py

nayas360/terminal_emulator

ffce98ce55aad7034c103547847e9f6c835df7e6

[ "MIT" ]

null

lib/shp/shp.py

nayas360/terminal_emulator

ffce98ce55aad7034c103547847e9f6c835df7e6

[ "MIT" ]

2

2018-01-18T21:54:11.000Z

2021-09-06T19:32:41.000Z

# Shell script processor

12.5

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null

0

1

0

1

0

null

0

1

0

5

ac8e06df822ee76429eac648062642972674ea76

115

py

Python

coolkit.py

srbcheema1/CoolKit

7b27c59767609f3b2f2297bd67925b346215e7a7

[ "MIT" ]

13

2018-02-10T06:54:43.000Z

2019-03-09T09:12:31.000Z

coolkit.py

srbcheema1/CoolKit

7b27c59767609f3b2f2297bd67925b346215e7a7

[ "MIT" ]

5

2018-10-02T23:17:49.000Z

2021-06-01T22:39:42.000Z

coolkit.py

srbcheema1/CoolKit

7b27c59767609f3b2f2297bd67925b346215e7a7

[ "MIT" ]

11

2018-02-04T11:12:19.000Z

2019-06-18T05:00:37.000Z

#!/usr/bin/env python3 # PYTHON_ARGCOMPLETE_OK from coolkit import main if(__name__=="__main__"): main.main()

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0.130435

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0

null

1

0

1

0

null

0

1

0

1

0

5

acab0c2aa76ee8cf983abce998916e8ad67b5173

100

py

Python

Kamii_Sinogi/Face/source/tempCodeRunnerFile.py

wangao0824/Intelligent-Door-Lock

ee757f65048946b9b480234cbbf9bed4de60738d

[ "MIT" ]

2

2020-06-03T05:48:15.000Z

2020-06-03T07:34:08.000Z

Kamii_Sinogi/Face/source/tempCodeRunnerFile.py

wangao0824/Intelligent-Door-Lock

ee757f65048946b9b480234cbbf9bed4de60738d

[ "MIT" ]

null

Kamii_Sinogi/Face/source/tempCodeRunnerFile.py

wangao0824/Intelligent-Door-Lock

ee757f65048946b9b480234cbbf9bed4de60738d

[ "MIT" ]

1

2020-06-06T15:20:03.000Z

if type(light_set["status"]) == unicode: light_set["status"]=status[light_set["status"]]

50

55

0.64

13

100

4.692308

0.461538

0.393443

0.688525

0

0.16

100

2

55

50

0.72619

0

0.178218

0

null

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null

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0

null

1

0

1

0

null

0

1

0

5

ace5cd895db32cd2ce64bd1e88e593e6018b187e

81

py

Python

adventofcode/2015/1/which_floor/__init__.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

adventofcode/2015/1/which_floor/__init__.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

adventofcode/2015/1/which_floor/__init__.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

from .which_floor import description_to_final_floor, get_first_basement_position

40.5

80

0.91358

12

81

5.583333

0.916667

0

0.061728

81

1

81

0.881579

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4a10e61a1019e510eace17bf367128f30d23ba14

48

py

Python

First_Test_File.py

technicSupFan/Network_Scanner_Python

0d4a64209835c98cf28ca301abf493101f1c7898

[ "CC0-1.0" ]

null

First_Test_File.py

technicSupFan/Network_Scanner_Python

0d4a64209835c98cf28ca301abf493101f1c7898

[ "CC0-1.0" ]

null

First_Test_File.py

technicSupFan/Network_Scanner_Python

0d4a64209835c98cf28ca301abf493101f1c7898

[ "CC0-1.0" ]

null

import time print("Hello World") time.sleep(1)

9.6

20

0.729167

8

48

4.375

0.875

0

0.02381

0.125

48

4

21

12

0.809524

0

0.229167

0

1

0

true

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

4a164ec7c129376f5fb83e072b0dc5a660562daa

167

py

Python

general-practice/Exercises solved/w3resource/basic/Exercise52.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

general-practice/Exercises solved/w3resource/basic/Exercise52.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

general-practice/Exercises solved/w3resource/basic/Exercise52.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

#Write a Python program to print to stderr import sys def eprint(*args, **kwargs): print(*args, file=sys.stderr, **kwargs) eprint("abc", "efg", "xyz", sep="--")

20.875

43

0.646707

25

167

4.32

0.72

0

0.155689

167

8

44

20.875

0.765957

0.245509

0

0.087302

0

1

0.25

true

0

0.25

0

0.5

0.75

1

0

null

0

1

0

null

0

1

0

1

0

5

c58a23a0275485edbc9ce3ae7cd2bc0175215cc2

47

py

Python

commonlibs/dict_tools/__init__.py

floatingstarZ/loc_cls_exp

8b971db671753d3571914aaa760cc13ac47018e8

[ "Apache-2.0" ]

null

commonlibs/dict_tools/__init__.py

floatingstarZ/loc_cls_exp

8b971db671753d3571914aaa760cc13ac47018e8

[ "Apache-2.0" ]

null

commonlibs/dict_tools/__init__.py

floatingstarZ/loc_cls_exp

8b971db671753d3571914aaa760cc13ac47018e8

[ "Apache-2.0" ]

null

from commonlibs.dict_tools.coco_dicts import *

23.5

46

0.851064

7

47

5.428571

1

0

0.085106

47

1

47

0.883721

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c5d12769c151509676c5d1dee032ec1a263b85eb

163

py

Python

l5kit/l5kit/dataset/__init__.py

stefaniespeichert/l5kit

e7ef272b80d71c5080891b27f478c6d3e001774e

[ "Apache-2.0" ]

null

l5kit/l5kit/dataset/__init__.py

stefaniespeichert/l5kit

e7ef272b80d71c5080891b27f478c6d3e001774e

[ "Apache-2.0" ]

null

l5kit/l5kit/dataset/__init__.py

stefaniespeichert/l5kit

e7ef272b80d71c5080891b27f478c6d3e001774e

[ "Apache-2.0" ]

null

from .ego import EgoDataset from .agent import AgentDataset from .utilities import build_dataloader __all__ = ["EgoDataset", "AgentDataset", "build_dataloader"]

23.285714

60

0.797546

18

163

6.888889

0.555556

0.241935

0

0.116564

163

6

61

27.166667

0.861111

0

0.233129

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c5fb1c0247dd6c7ab629d57cd958be26ef0e0e03

253

py

Python

Python/PythonExercicios/ex021.py

felizardo27/Python

965d56f4956eb7b6a68c0b1cbd74d363dd2a223c

[ "MIT" ]

null

Python/PythonExercicios/ex021.py

felizardo27/Python

965d56f4956eb7b6a68c0b1cbd74d363dd2a223c

[ "MIT" ]

null

Python/PythonExercicios/ex021.py

felizardo27/Python

965d56f4956eb7b6a68c0b1cbd74d363dd2a223c

[ "MIT" ]

null

print('====== EX 021 ======') # Faça um programa em python que abra e reproduza o audio de um arquivo MP3. import pygame pygame.mixer.init() pygame.mixer.music.load('buttercup21.mp3') pygame.mixer.music.play() while(pygame.mixer.music.get_busy()): pass

31.625

76

0.72332

40

253

4.55

0.725

0.241758

0.263736

0

0.030973

0.106719

253

7

77

36.142857

0.774336

0.29249

0

0.19774

0

1

0

true

0.166667

0

0.166667

0

null

1

0

1

0

null

0

1

0

5

a846a7b4e26c69e14d3f209af805d1890740a932

186

py

Python

tests/test_example.py

stradivari96/modern-python-template

ad94a9dfb64ccc0d41af8c64d6a32475c06495b7

[ "MIT" ]

1

2021-05-13T06:19:49.000Z

tests/test_example.py

stradivari96/modern-python-template

ad94a9dfb64ccc0d41af8c64d6a32475c06495b7

[ "MIT" ]

21

2021-06-08T08:50:04.000Z

2022-03-21T03:06:48.000Z

tests/test_example.py

stradivari96/modern-python-template

ad94a9dfb64ccc0d41af8c64d6a32475c06495b7

[ "MIT" ]

null

from my_package.example import hello def test_hello(): """Example test with parametrization.""" assert hello("Bob") == "Hello Bob!" assert hello("Alice") == "Hello Alice!"

23.25

44

0.66129

23

186

5.26087

0.565217

0.181818

0

0.182796

186

7

45

26.571429

0.796053

0.182796

0

0.205479

0

0.5

1

0.25

true

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a88aad9ed775999889734a11fb4622773e37a59a

91

py

Python

metasearch/repos/CDCS/__init__.py

mdi-community/metasearch

4b3d983ab096e06b162f7e4c1da9930a27c495d5

[ "MIT" ]

null

metasearch/repos/CDCS/__init__.py

mdi-community/metasearch

4b3d983ab096e06b162f7e4c1da9930a27c495d5

[ "MIT" ]

null

metasearch/repos/CDCS/__init__.py

mdi-community/metasearch

4b3d983ab096e06b162f7e4c1da9930a27c495d5

[ "MIT" ]

null

from .cdcsquery import CDCSQuery, DEFAULT_BASE_URL from .cdcsresult import CDCSQueryResult

30.333333

50

0.868132

11

91

7

0.727273

0

0.098901

91

2

51

45.5

0.939024

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

763dede9c23fbe31abdd3e2074d87824a246b5d0

80

py

Python

src/lybica/actions/__init__.py

protone/lybica-runner

185b3fc4ffc7a6e066baa6c2f030e109db97b4b1

[ "MIT" ]

null

src/lybica/actions/__init__.py

protone/lybica-runner

185b3fc4ffc7a6e066baa6c2f030e109db97b4b1

[ "MIT" ]

3

2015-11-04T09:43:35.000Z

2015-11-12T09:41:21.000Z

src/lybica/actions/__init__.py

protone/lybica-runner

185b3fc4ffc7a6e066baa6c2f030e109db97b4b1

[ "MIT" ]

null

from .builtin import * from .robotframework import * from .user_script import *

20

29

0.775

10

80

6.1

0.6

0.327869

0

0.15

80

3

30

26.666667

0.897059

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

76bd7ac486fa0677f21e91c31b946668de5bcb7f

9,372

py

Python

tests/test_0593-preserve-nullability-in-arrow-and-parquet.py

BioGeek/awkward-1.0

0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2

[ "BSD-3-Clause" ]

519

2019-10-17T12:36:22.000Z

2022-03-26T23:28:19.000Z

tests/test_0593-preserve-nullability-in-arrow-and-parquet.py

BioGeek/awkward-1.0

0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2

[ "BSD-3-Clause" ]

924

2019-11-03T21:05:01.000Z

2022-03-31T22:44:30.000Z

tests/test_0593-preserve-nullability-in-arrow-and-parquet.py

BioGeek/awkward-1.0

0cfb4e43c41d5c7d9830cc7b1d750485c0a93eb2

[ "BSD-3-Clause" ]

56

2019-12-17T15:49:22.000Z

2022-03-09T20:34:06.000Z

# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE from __future__ import absolute_import import os import pytest # noqa: F401 import numpy as np # noqa: F401 import awkward as ak # noqa: F401 pytest.importorskip("pyarrow") def test_list_to_arrow(): ak_array = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]) pa_array = ak.to_arrow(ak_array) assert str(pa_array.type) == "large_list<item: double not null>" assert pa_array.to_pylist() == [[1.1, 2.2, 3.3], [], [4.4, 5.5]] ak_array = ak.Array( ak.layout.ListOffsetArray64( ak_array.layout.offsets, ak.layout.UnmaskedArray(ak_array.layout.content) ) ) pa_array = ak.to_arrow(ak_array) assert str(pa_array.type) == "large_list<item: double>" assert pa_array.to_pylist() == [[1.1, 2.2, 3.3], [], [4.4, 5.5]] ak_array = ak.Array([[1.1, 2.2, None], [], [4.4, 5.5]]) pa_array = ak.to_arrow(ak_array) assert str(pa_array.type) == "large_list<item: double>" assert pa_array.to_pylist() == [[1.1, 2.2, None], [], [4.4, 5.5]] def test_record_to_arrow(): x_content = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5]).layout z_content = ak.Array([1, 2, 3, None, 5]).layout ak_array = ak.Array( ak.layout.RecordArray( [ x_content, ak.layout.UnmaskedArray(x_content), z_content, ], ["x", "y", "z"], ) ) pa_array = ak.to_arrow(ak_array) assert str(pa_array.type) == "struct<x: double not null, y: double, z: int64>" assert pa_array.to_pylist() == [ {"x": 1.1, "y": 1.1, "z": 1}, {"x": 2.2, "y": 2.2, "z": 2}, {"x": 3.3, "y": 3.3, "z": 3}, {"x": 4.4, "y": 4.4, "z": None}, {"x": 5.5, "y": 5.5, "z": 5}, ] def test_union_to_arrow(): ak_array = ak.Array([1.1, 2.2, None, [1, 2, 3], "hello"]) pa_array = ak.to_arrow(ak_array) assert ( str(pa_array.type) == "dense_union<0: double=0, 1: large_list<item: int64 not null>=1, 2: string=2>" ) assert pa_array.to_pylist() == [1.1, 2.2, None, [1, 2, 3], "hello"] ak_array = ak.Array( ak.layout.UnmaskedArray(ak.Array([1.1, 2.2, [1, 2, 3], "hello"]).layout) ) pa_array = ak.to_arrow(ak_array) assert ( str(pa_array.type) == "dense_union<0: double=0, 1: large_list<item: int64 not null>=1, 2: string=2>" ) assert pa_array.to_pylist() == [1.1, 2.2, [1, 2, 3], "hello"] ak_array = ak.Array([1.1, 2.2, [1, 2, 3], "hello"]) pa_array = ak.to_arrow(ak_array) assert ( str(pa_array.type) == "dense_union<0: double not null=0, 1: large_list<item: int64 not null> not null=1, 2: string not null=2>" ) assert pa_array.to_pylist() == [1.1, 2.2, [1, 2, 3], "hello"] def test_list_from_arrow(): original = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == "3 * var * float64" assert reconstituted.tolist() == [[1.1, 2.2, 3.3], [], [4.4, 5.5]] original = ak.Array([[1.1, 2.2, None], [], [4.4, 5.5]]) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == "3 * var * ?float64" assert reconstituted.tolist() == [[1.1, 2.2, None], [], [4.4, 5.5]] original = ak.Array([[1.1, 2.2, 3.3], [], None, [4.4, 5.5]]) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == "4 * option[var * float64]" assert reconstituted.tolist() == [[1.1, 2.2, 3.3], [], None, [4.4, 5.5]] original = ak.Array([[1.1, 2.2, None], [], None, [4.4, 5.5]]) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == "4 * option[var * ?float64]" assert reconstituted.tolist() == [[1.1, 2.2, None], [], None, [4.4, 5.5]] def test_record_from_arrow(): x_content = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5]).layout z_content = ak.Array([1, 2, 3, None, 5]).layout original = ak.Array( ak.layout.RecordArray( [ x_content, ak.layout.UnmaskedArray(x_content), z_content, ], ["x", "y", "z"], ) ) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == '5 * {"x": float64, "y": ?float64, "z": ?int64}' assert reconstituted.tolist() == [ {"x": 1.1, "y": 1.1, "z": 1}, {"x": 2.2, "y": 2.2, "z": 2}, {"x": 3.3, "y": 3.3, "z": 3}, {"x": 4.4, "y": 4.4, "z": None}, {"x": 5.5, "y": 5.5, "z": 5}, ] original = ak.Array( ak.layout.ByteMaskedArray( ak.layout.Index8(np.array([False, True, False, False, False], np.int8)), original.layout, valid_when=False, ) ) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == '5 * ?{"x": float64, "y": ?float64, "z": ?int64}' assert reconstituted.tolist() == [ {"x": 1.1, "y": 1.1, "z": 1}, None, {"x": 3.3, "y": 3.3, "z": 3}, {"x": 4.4, "y": 4.4, "z": None}, {"x": 5.5, "y": 5.5, "z": 5}, ] def test_union_from_arrow(): original = ak.Array([1.1, 2.2, [1, 2, 3], "hello"]) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert str(reconstituted.type) == "4 * union[float64, var * int64, string]" assert reconstituted.tolist() == [1.1, 2.2, [1, 2, 3], "hello"] original = ak.Array([1.1, 2.2, None, [1, 2, 3], "hello"]) pa_array = ak.to_arrow(original) reconstituted = ak.from_arrow(pa_array) assert ( str(reconstituted.type) == "5 * union[?float64, option[var * int64], option[string]]" ) assert reconstituted.tolist() == [1.1, 2.2, None, [1, 2, 3], "hello"] def test_to_arrow_table(): assert ak.from_arrow( ak.to_arrow_table( ak.Array([[{"x": 1.1, "y": [1]}], [], [{"x": 2.2, "y": [1, 2]}]]), explode_records=True, ) ).tolist() == [ {"x": [1.1], "y": [[1]]}, {"x": [], "y": []}, {"x": [2.2], "y": [[1, 2]]}, ] assert ak.from_arrow( ak.to_arrow_table(ak.Array([{"x": 1.1, "y": [1]}, {"x": 2.2, "y": [1, 2]}])) ).tolist() == [{"x": 1.1, "y": [1]}, {"x": 2.2, "y": [1, 2]}] pytest.importorskip("pyarrow.parquet") def test_to_parquet(tmp_path): original = ak.Array( [ [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}], [], [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}], [], [], [ {"x": 6, "y": 6.6}, {"x": 7, "y": 7.7}, {"x": 8, "y": 8.8}, {"x": 9, "y": 9.9}, ], ] ) ak.to_parquet(original, os.path.join(tmp_path, "data.parquet")) reconstituted = ak.from_parquet(os.path.join(tmp_path, "data.parquet")) assert reconstituted.tolist() == [ [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}], [], [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}], [], [], [ {"x": 6, "y": 6.6}, {"x": 7, "y": 7.7}, {"x": 8, "y": 8.8}, {"x": 9, "y": 9.9}, ], ] assert str(reconstituted.type) == '6 * var * {"x": int64, "y": float64}' def test_to_parquet_2(tmp_path): array = ak.Array( [ [{"x": 0.0, "y": []}, {"x": 1.1, "y": [1]}, {"x": 2.2, "y": None}], [], [{"x": 3.3, "y": [1, 2, 3]}, None, {"x": 4.4, "y": [1, 2, 3, 4]}], ] ) assert str(array.type) == '3 * var * ?{"x": float64, "y": option[var * int64]}' ak.to_parquet(array, os.path.join(tmp_path, "complicated-example.parquet")) array2 = ak.from_parquet(os.path.join(tmp_path, "complicated-example.parquet")) assert str(array2.type) == str(array.type) assert array2.tolist() == array.tolist() def test_to_table_2(): array = ak.Array( [ [{"x": 0.0, "y": []}, {"x": 1.1, "y": [1]}, {"x": 2.2, "y": None}], [], [{"x": 3.3, "y": [1, 2, 3]}, None, {"x": 4.4, "y": [1, 2, 3, 4]}], ] ) assert str(array.type) == '3 * var * ?{"x": float64, "y": option[var * int64]}' pa_table = ak.to_arrow_table(array) array2 = ak.from_arrow(pa_table) assert str(array2.type) == str(array.type) assert array2.tolist() == array.tolist() def test_from_buffers(): array = ak.Array( [ [{"x": 0.0, "y": []}, {"x": 1.1, "y": [1]}, {"x": 2.2, "y": None}], [], [{"x": 3.3, "y": [1, 2, 3]}, None, {"x": 4.4, "y": [1, 2, 3, 4]}], ] ) assert str(array.type) == '3 * var * ?{"x": float64, "y": option[var * int64]}' pa_table = ak.to_arrow_table(array) awkward_array = ak.from_arrow(pa_table) form, length, container = ak.to_buffers(awkward_array) reconstituted = ak.from_buffers(form, length, container, lazy=True) assert reconstituted[2].tolist() == [ {"x": 3.3, "y": [1, 2, 3]}, None, {"x": 4.4, "y": [1, 2, 3, 4]}, ]

33.833935

116

0.497653

1,436

9,372

3.129526

0.068245

0.023142

0.016689

0.022252

0.809524

0.771028

0.76146

0.748776

0.685803

0.672007

0

0.078589

0.270913

9,372

276

117

33.956522

0.579101

0.012591

0

0.519149

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0.012766

0.122392

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0.178723

1

0.046809

false

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0.076596

0

null

0

1

0

1

0

null

0

5

76ccaf9bba69ad12c03cd9fc420cc560d4f94e09

131

py

Python

xport/__init__.py

ChrisSuess/xport

1328ef6b400df3ea80ffefbc3c23e9474b1a6e1e

[ "MIT" ]

null

xport/__init__.py

ChrisSuess/xport

1328ef6b400df3ea80ffefbc3c23e9474b1a6e1e

[ "MIT" ]

null

xport/__init__.py

ChrisSuess/xport

1328ef6b400df3ea80ffefbc3c23e9474b1a6e1e

[ "MIT" ]

1

2019-05-15T12:40:10.000Z

from flask import Flask from xport.config import Config app = Flask(__name__) app.config.from_object(Config) import xport.routes

16.375

31

0.80916

20

131

5.05

0.45

0.237624

0

0.122137

131

7

32

18.714286

0.878261

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1

0

false

0

0.6

0

0.6

0

1

0

null

1

0

1

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null

0

1

0

1

0

5

4f1ba886a2cda61a8692c9279052d953b74d1cfa

66

py

Python

scripts/build.py

jaumecapdevila/jetbrains

fc920dc712a5a302d8752738e6c8e643f71f8ebe

[ "MIT" ]

null

scripts/build.py

jaumecapdevila/jetbrains

fc920dc712a5a302d8752738e6c8e643f71f8ebe

[ "MIT" ]

null

scripts/build.py

jaumecapdevila/jetbrains

fc920dc712a5a302d8752738e6c8e643f71f8ebe

[ "MIT" ]

null

if __name__ == '__main__': import readme import changelog

16.5

26

0.681818

7

66

5.285714

0.857143

0

0.242424

66

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true

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null

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1

0

1

0

5

4f3952484d1779e071842e697fb71164ed466bb9

50,279

py

Python

tests/integration_test/chat_service_test.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

null

tests/integration_test/chat_service_test.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

null

tests/integration_test/chat_service_test.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

null

import asyncio import json import os from urllib.parse import urlencode, quote_plus from mock import patch from mongoengine import connect from rasa.core.agent import Agent from tornado.test.testing_test import AsyncHTTPTestCase from kairon.api.models import RegisterAccount from kairon.chat.agent.agent import KaironAgent from kairon.chat.server import make_app from kairon.shared.account.processor import AccountProcessor from kairon.shared.auth import Authentication from kairon.shared.chat.processor import ChatDataProcessor from kairon.shared.data.constant import TOKEN_TYPE, INTEGRATION_STATUS from kairon.shared.data.processor import MongoProcessor from kairon.shared.end_user_metrics.processor import EndUserMetricsProcessor from kairon.shared.live_agent.processor import LiveAgentsProcessor from kairon.shared.utils import Utility from kairon.train import start_training import responses os.environ["system_file"] = "./tests/testing_data/system.yaml" os.environ['ASYNC_TEST_TIMEOUT'] = "3600" Utility.load_environment() connect(**Utility.mongoengine_connection()) loop = asyncio.new_event_loop() loop.run_until_complete(AccountProcessor.account_setup(RegisterAccount(**{"email": "test@chat.com", "first_name": "Test", "last_name": "Chat", "password": "testChat@12", "confirm_password": "testChat@12", "account": "ChatTesting"}).dict())) token = Authentication.authenticate("test@chat.com", "testChat@12") token_type = "Bearer" user = AccountProcessor.get_complete_user_details("test@chat.com") bot = user['bots']['account_owned'][0]['_id'] start_training(bot, "test@chat.com") bot2 = AccountProcessor.add_bot("testChat2", user['account'], "test@chat.com")['_id'].__str__() loop.run_until_complete(MongoProcessor().save_from_path( "template/use-cases/Hi-Hello", bot2, user="test@chat.com" )) start_training(bot2, "test@chat.com") bot3 = AccountProcessor.add_bot("testChat3", user['account'], "test@chat.com")['_id'].__str__() ChatDataProcessor.save_channel_config({"connector_type": "slack", "config": { "bot_user_oAuth_token": "xoxb-801939352912-801478018484-v3zq6MYNu62oSs8vammWOY8K", "slack_signing_secret": "79f036b9894eef17c064213b90d1042b"}}, bot, user="test@chat.com") responses.start() encoded_url = urlencode({'url': f"https://test@test.com/api/bot/telegram/{bot}/test"}, quote_via=quote_plus) responses.add("GET", json={"result": True}, url=f"https://api.telegram.org/botxoxb-801939352912-801478018484/setWebhook?{encoded_url}") Utility.environment['model']['agent']['url'] = 'https://test@test.com/api/bot/telegram/tests/test' def __mock_endpoint(*args): return f"https://test@test.com/api/bot/telegram/{bot}/test" with patch('kairon.shared.data.utils.DataUtility.get_channel_endpoint', __mock_endpoint): ChatDataProcessor.save_channel_config({"connector_type": "telegram", "config": { "access_token": "xoxb-801939352912-801478018484", "username_for_bot": "test"}}, bot, user="test@chat.com") ChatDataProcessor.save_channel_config({"connector_type": "hangouts", "config": { "project_id": "1234568"} }, bot, user="test@chat.com") ChatDataProcessor.save_channel_config({"connector_type": "messenger", "config": { "app_secret": "cdb69bc72e2ccb7a869f20cbb6b0229a", "page_access_token": "EAAGa50I7D7cBAJ4AmXOhYAeOOZAyJ9fxOclQmn52hBwrOJJWBOxuJNXqQ2uN667z4vLekSEqnCQf41hcxKVZAe2pAZBrZCTENEj1IBe1CHEcG7J33ZApED9Tj9hjO5tE13yckNa8lP3lw2IySFqeg6REJR3ZCJUvp2h03PQs4W5vNZBktWF3FjQYz5vMEXLPzAFIJcZApBtq9wZDZD", "verify_token": "kairon-messenger-token", } }, bot, user="test@chat.com") responses.stop() class TestChatServer(AsyncHTTPTestCase): def get_app(self): return make_app() def empty_store(self, *args, **kwargs): return None def mock_agent_response(self, *args, **kwargs): return {'nlu': {'text': '!@#$%^&*()', 'intent': {'name': 'nlu_fallback', 'confidence': 0.7}, 'entities': [], 'intent_ranking': [{'name': 'nlu_fallback', 'confidence': 0.7}, {'id': 7699795435555413769, 'name': 'bot_challenge', 'confidence': 0.3011210560798645}, {'id': -8614851775639803374, 'name': 'mood_unhappy', 'confidence': 0.28137511014938354}, {'id': -7686226624851022724, 'name': 'deny', 'confidence': 0.2647826075553894}, {'id': -963050110453472522, 'name': 'affirm', 'confidence': 0.0759304016828537}, {'id': -4665925488010208305, 'name': 'goodbye', 'confidence': 0.028776828199625015}, {'id': -8510124799033185183, 'name': 'mood_great', 'confidence': 0.025189757347106934}, {'id': 7378347921649253395, 'name': 'greet', 'confidence': 0.022824246436357498}], 'response_selector': {'all_retrieval_intents': [], 'default': { 'response': {'id': None, 'responses': None, 'response_templates': None, 'confidence': 0.0, 'intent_response_key': None, 'utter_action': 'utter_None', 'template_name': 'utter_None'}, 'ranking': []}}, 'slots': ['kairon_action_response: None', 'bot: 6275ebcba06e09a1b818c70a', 'session_started_metadata: None']}, 'action': ['utter_please_rephrase', 'action_listen'], 'response': [{'recipient_id': 'test@chat.com', 'text': "I'm sorry, I didn't quite understand that. Could you rephrase?"}], 'events': None} def test_index(self): response = self.fetch("/") self.assertEqual(response.code, 200) self.assertEqual(response.body.decode("utf8"), 'Kairon Server Running') def test_chat(self): with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode('utf-8'), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) headers = list(response.headers.get_all()) assert headers[0] == ('Server', 'Secure') assert headers[1] == ('Content-Type', 'application/json') assert headers[3] == ('Access-Control-Allow-Origin', '*') assert headers[4] == ('Access-Control-Allow-Headers', 'x-requested-with') assert headers[5] == ('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, OPTIONS') assert headers[6] == ('Strict-Transport-Security', 'max-age=31536000; includeSubDomains; preload') assert headers[7] == ('Content-Security-Policy', "default-src 'self'; frame-ancestors 'self'; form-action 'self';") assert headers[8] == ('X-Content-Type-Options', 'no-sniff') assert headers[9] == ('Referrer-Policy', 'origin') assert headers[10] == ('Permissions-Policy', 'accelerometer=(self), ambient-light-sensor=(self), autoplay=(self), battery=(self), camera=(self), cross-origin-isolated=(self), display-capture=(self), document-domain=(self), encrypted-media=(self), execution-while-not-rendered=(self), execution-while-out-of-viewport=(self), fullscreen=(self), geolocation=(self), gyroscope=(self), keyboard-map=(self), magnetometer=(self), microphone=(self), midi=(self), navigation-override=(self), payment=(self), picture-in-picture=(self), publickey-credentials-get=(self), screen-wake-lock=(self), sync-xhr=(self), usb=(self), web-share=(self), xr-spatial-tracking=(self)') assert headers[11] == ('Cache-Control', 'no-store') def test_chat_with_user(self): with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={"Authorization": token_type + " " + token}, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) def test_chat_fetch_from_cache(self): with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={"Authorization": token_type + " " + token}, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) def test_chat_model_not_trained(self): response = self.fetch( f"/api/bot/{bot3}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={ "Authorization": f"{token_type} {token}" }, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert not actual["success"] assert actual["error_code"] == 422 assert actual["data"] is None assert actual["message"] == "Bot has not been trained yet!" def test_chat_with_different_bot_not_allowed(self): response = self.fetch( f"/api/bot/test/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={ "Authorization": token_type + " " + token }, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert not actual["success"] assert actual["error_code"] == 422 assert actual["data"] is None assert actual["message"] == "Access to bot is denied" def test_chat_with_different_bot_using_token_for_different_bot(self): access_token = Authentication.generate_integration_token( bot, "test@chat.com", name='integration_token_for_chat_service') response = self.fetch( f"/api/bot/{bot2}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={"Authorization": token_type + " " + access_token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert not actual["success"] assert actual["error_code"] == 422 assert not actual["data"] assert actual["message"] == 'Access to bot is denied' def test_chat_with_bot_using_deleted_token(self): access_token = Authentication.generate_integration_token(bot, "test@chat.com", name='integration_token_1') Authentication.update_integration_token('integration_token_1', bot, "test@chat.com", INTEGRATION_STATUS.DELETED.value) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={"Authorization": token_type + " " + access_token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert not actual["success"] assert actual["error_code"] == 422 assert not actual["data"] assert actual["message"] == 'Access to bot is denied' def test_chat_different_bot(self): with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/{bot2}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) def test_chat_with_limited_access(self): access_token = Authentication.generate_integration_token( bot2, "test@chat.com", expiry=5, access_limit=['/api/bot/.+/chat'], name="integration token" ) response = self.fetch( f"/api/bot/{bot2}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={ "Authorization": f"{token_type} {access_token}", 'X-USER': 'testUser' }, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual['data']['response'] response = self.fetch( f"/api/bot/{bot2}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={ "Authorization": f"{token_type} {access_token}" }, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual['message'] == 'Alias user missing for integration' def test_chat_with_limited_access_without_integration(self): access_token = Authentication.create_access_token( data={"sub": "test@chat.com", 'access-limit': ['/api/bot/.+/chat']}, ) response = self.fetch( f"/api/bot/{bot2}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={ "Authorization": f"{token_type} {access_token}", 'X-USER': 'testUser' }, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual['data']['response'] def test_chat_limited_access_prevent_chat(self): access_token = Authentication.create_access_token( data={"sub": "test@chat.com", 'access-limit': ['/api/bot/.+/intent']}, token_type=TOKEN_TYPE.INTEGRATION.value ) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "Hi"}).encode("utf8"), headers={ "Authorization": f"{token_type} {access_token}", 'X-USER': "testUser" }, ) actual = json.loads(response.body.decode("utf8")) assert actual["message"] == "Access denied for this endpoint" def test_reload(self): response = self.fetch( f"/api/bot/{bot}/reload", method="GET", headers={ "Authorization": token_type + " " + token }, ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] is None assert actual["message"] == "Reloading Model!" headers = list(response.headers.get_all()) assert headers[0] == ('Server', 'Secure') assert headers[1] == ('Content-Type', 'application/json') assert headers[3] == ('Access-Control-Allow-Origin', '*') assert headers[4] == ('Access-Control-Allow-Headers', 'x-requested-with') assert headers[5] == ('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, OPTIONS') assert headers[6] == ('Strict-Transport-Security', 'max-age=31536000; includeSubDomains; preload') assert headers[7] == ('Content-Security-Policy', "default-src 'self'; frame-ancestors 'self'; form-action 'self';") assert headers[8] == ('X-Content-Type-Options', 'no-sniff') assert headers[9] == ('Referrer-Policy', 'origin') assert headers[10] == ('Permissions-Policy', 'accelerometer=(self), ambient-light-sensor=(self), autoplay=(self), battery=(self), camera=(self), cross-origin-isolated=(self), display-capture=(self), document-domain=(self), encrypted-media=(self), execution-while-not-rendered=(self), execution-while-out-of-viewport=(self), fullscreen=(self), geolocation=(self), gyroscope=(self), keyboard-map=(self), magnetometer=(self), microphone=(self), midi=(self), navigation-override=(self), payment=(self), picture-in-picture=(self), publickey-credentials-get=(self), screen-wake-lock=(self), sync-xhr=(self), usb=(self), web-share=(self), xr-spatial-tracking=(self)') assert headers[11] == ('Cache-Control', 'no-store') def test_reload_exception(self): response = self.fetch( f"/api/bot/{bot}/reload", method="GET" ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert not actual["success"] assert actual["error_code"] == 422 assert actual["data"] is None assert actual["message"] == "Could not validate credentials" @patch('kairon.chat.handlers.channels.slack.SlackHandler.is_request_from_slack_authentic') @patch('kairon.shared.utils.Utility.get_local_mongo_store') def test_slack_auth_bot_challenge(self, mock_store, mock_slack): mock_store.return_value = self.empty_store mock_slack.return_value = True headers = {'User-Agent': 'Slackbot 1.0 (+https://api.slack.com/robots)', 'Content-Length': 826, 'Accept': '*/*', 'Accept-Encoding': 'gzip,deflate', 'Cache-Control': 'max-age=259200', 'Content-Type': 'application/json', 'X-Forwarded-For': '3.237.67.113', 'X-Forwarded-Proto': 'http', 'X-Slack-Request-Timestamp': '1644676934', 'X-Slack-Retry-Reason': 'http_error', 'X-Slack-Signature': 'v0=65e62a2a81ebac3825a7aeec1f7033977e31f6ccff988ec11aaf06884553834a'} patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/slack/{bot}/{token}", method="POST", headers=headers, body=json.dumps({"token": "RrNd3SaNJNaP28TTauAYCmJw", "challenge": "sjYDB2ccaT5wpcGyawz6BTDbiujZCBiVwSQR87t3Q3yqgoHFkkTy", "type": "url_verification"}, ) ) actual = response.body.decode("utf8") self.assertEqual(response.code, 200) assert actual == "sjYDB2ccaT5wpcGyawz6BTDbiujZCBiVwSQR87t3Q3yqgoHFkkTy" def test_slack_invalid_auth(self): headers = {'User-Agent': 'Slackbot 1.0 (+https://api.slack.com/robots)', 'Content-Length': 826, 'Accept': '*/*', 'Accept-Encoding': 'gzip,deflate', 'Cache-Control': 'max-age=259200', 'Content-Type': 'application/json', 'X-Forwarded-For': '3.237.67.113', 'X-Forwarded-Proto': 'http', 'X-Slack-Request-Timestamp': '1644676934', 'X-Slack-Retry-Num': '1', 'X-Slack-Retry-Reason': 'http_error', 'X-Slack-Signature': 'v0=65e62a2a81ebac3825a7aeec1f7033977e31f6ccff988ec11aaf06884553834a'} patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/slack/{bot}/123", method="POST", headers=headers, body=json.dumps({"token": "RrNd3SaNJNaP28TTauAYCmJw", "team_id": "TPKTMACSU", "api_app_id": "APKTXRPMK", "event": {"client_msg_id": "77eafc15-4e7a-46d1-b03f-bf953fa801dc", "type": "message", "text": "Hi", "user": "UPKTMK5BJ", "ts": "1644670603.521219", "team": "TPKTMACSU", "blocks": [{"type": "rich_text", "block_id": "ssu6", "elements": [{"type": "rich_text_section", "elements": [{"type": "text", "text": "Hi"}]}]}], "channel": "DPKTY81UM", "event_ts": "1644670603.521219", "channel_type": "im"}, "type": "event_callback", "event_id": "Ev032U6W5N1G", "event_time": 1644670603, "authed_users": ["UPKE20JE8"], "authorizations": [ {"enterprise_id": None, "team_id": "TPKTMACSU", "user_id": "UPKE20JE8", "is_bot": True, "is_enterprise_install": False}], "is_ext_shared_channel": False, "event_context": "4-eyJldCI6Im1lc3NhZ2UiLCJ0aWQiOiJUUEtUTUFDU1UiLCJhaWQiOiJBUEtUWFJQTUsiLCJjaWQiOiJEUEtUWTgxVU0ifQ"}) ) actual = response.body.decode("utf8") self.assertEqual(response.code, 422) assert actual == '{"data": null, "success": false, "error_code": 401, "message": "Could not validate credentials"}' @patch('kairon.chat.handlers.channels.telegram.TelegramOutput') @patch('kairon.shared.utils.Utility.get_local_mongo_store') def test_telegram_auth_failed_telegram_verify(self, mock_store, mock_telegram_out): mock_store.return_value = self.empty_store mock_telegram_out.get_me.return_value = "test" patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/telegram/{bot}/{token}", method="POST", body=json.dumps({"update_id": 483117514, "message": {"message_id": 14, "from": {"id": 1422280657, "is_bot": False, "first_name": "Fahad Ali", "language_code": "en"}, "chat": {"id": 1422280657, "first_name": "Fahad Ali", "type": "private"}, "date": 1645433258, "text": "hi"}}) ) actual = response.body.decode("utf8") self.assertEqual(response.code, 200) assert actual == "failed" def test_hangout_invalid_auth(self): patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/hangouts/{bot}/123", method="POST", body=json.dumps({ "type": "MESSAGE", "message": { "sender": { "displayName": "Test" }, "text": "Hello!" }, "space": { "type": "ROOM" } })) actual = response.body.decode("utf8") self.assertEqual(response.code, 422) assert actual == '{"data": null, "success": false, "error_code": 401, "message": "Could not validate credentials"}' @patch('kairon.shared.utils.Utility.get_local_mongo_store') def test_hangout_auth_failed_hangout_verify(self, mock_store): mock_store.return_value = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/hangouts/{bot}/{token}", method="POST", headers={"Authorization": "Bearer Test"}, body=json.dumps({ "type": "MESSAGE", "message": { "sender": { "displayName": "Test" }, "text": "Hello!" }, "space": { "type": "ROOM" } })) actual = response.body.decode("utf8") self.assertEqual(response.code, 422) def test_messenger_invalid_auth(self): patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/messenger/{bot}/123", headers={"X-Hub-Signature": "invalid"}, method="POST", body=json.dumps({ "object": "page", "entry": [{ "id": "104610528288640", "time": 1646648478575, "messaging": [{ "sender": { "id": "4237571439620831" }, "recipient": { "id": "104610528288640" }, "timestamp": 1646647205156, "message": { "mid": "m_J-gcviaJSGp427f7jzL2PBygi_iiuvCXf2eCu2qb-kr9onZGEYfSoC7TctL84humv0mbtH7GsQ0vmELAGS74Ew", "text": "hi", "nlp": { "intents": [], "entities": { "wit$location:location": [{ "id": "624173841772436", "name": "wit$location", "role": "location", "start": 0, "end": 2, "body": "hi", "confidence": 0.3146, "entities": [], "suggested": True, "value": "hi", "type": "value" }] }, "traits": { "wit$sentiment": [{ "id": "5ac2b50a-44e4-466e-9d49-bad6bd40092c", "value": "positive", "confidence": 0.7336 }], "wit$greetings": [{ "id": "5900cc2d-41b7-45b2-b21f-b950d3ae3c5c", "value": "true", "confidence": 0.9999 }] }, "detected_locales": [{ "locale": "mr_IN", "confidence": 0.7365 }] } } }] }] })) actual = response.body.decode("utf8") self.assertEqual(response.code, 422) assert actual == '{"data": null, "success": false, "error_code": 401, "message": "Could not validate credentials"}' def test_instagram_invalid_auth(self): patch.dict(Utility.environment['action'], {"url": None}) response = self.fetch( f"/api/bot/instagram/{bot}/123", headers={"X-Hub-Signature": "invalid"}, method="POST", body=json.dumps({ "object": "page", "entry": [{ "id": "104610528288640", "time": 1646648478575, "messaging": [{ "sender": { "id": "4237571439620831" }, "recipient": { "id": "104610528288640" }, "timestamp": 1646647205156, "message": { "mid": "m_J-gcviaJSGp427f7jzL2PBygi_iiuvCXf2eCu2qb-kr9onZGEYfSoC7TctL84humv0mbtH7GsQ0vmELAGS74Ew", "text": "hi", "nlp": { "intents": [], "entities": { "wit$location:location": [{ "id": "624173841772436", "name": "wit$location", "role": "location", "start": 0, "end": 2, "body": "hi", "confidence": 0.3146, "entities": [], "suggested": True, "value": "hi", "type": "value" }] }, "traits": { "wit$sentiment": [{ "id": "5ac2b50a-44e4-466e-9d49-bad6bd40092c", "value": "positive", "confidence": 0.7336 }], "wit$greetings": [{ "id": "5900cc2d-41b7-45b2-b21f-b950d3ae3c5c", "value": "true", "confidence": 0.9999 }] }, "detected_locales": [{ "locale": "mr_IN", "confidence": 0.7365 }] } } }] }] })) actual = response.body.decode("utf8") self.assertEqual(response.code, 422) assert actual == '{"data": null, "success": false, "error_code": 401, "message": "Could not validate credentials"}' @staticmethod def add_live_agent_config(bot_id, email): config = { "agent_type": "chatwoot", "config": {"account_id": "12", "api_access_token": "asdfghjklty67"}, "override_bot": False, "trigger_on_intents": ["nlu_fallback"], "trigger_on_actions": ["action_default_fallback"] } responses.reset() responses.start() responses.add( "GET", f"https://app.chatwoot.com/public/api/v1/accounts/{config['config']['account_id']}/inboxes", json={"payload": []} ) responses.add( "POST", f"https://app.chatwoot.com/public/api/v1/accounts/{config['config']['account_id']}/inboxes", json={"inbox_identifier": "tSaxZWrxyFowmFHzWwhMwi5y"} ) LiveAgentsProcessor.save_config(config, bot_id, email) responses.stop() def test_chat_with_chatwoot_agent_fallback(self): self.add_live_agent_config(bot, user["email"]) responses.reset() responses.start() responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/inboxes/tSaxZWrxyFowmFHzWwhMwi5y/contacts', json={ "source_id": "09c15b5f-c4a4-4d15-ba45-ce99bc7b1e71", "pubsub_token": "M31nmFCfo2wc5FonU3qGjonB", "id": 16951464, "name": 'test@chat.com', "email": None } ) responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/inboxes/tSaxZWrxyFowmFHzWwhMwi5y/contacts/09c15b5f-c4a4-4d15-ba45-ce99bc7b1e71/conversations', json={ "id": 2, "inbox_id": 14036, "contact_last_seen_at": 0, "status": "open", "agent_last_seen_at": 0, "messages": [], "contact": { "id": 16951464, "name": "test@chat.com", "email": None, "phone_number": None, "account_id": 69469, "created_at": "2022-05-04T15:40:58.190Z", "updated_at": "2022-05-04T15:40:58.190Z", "additional_attributes": {}, "identifier": None, "custom_attributes": {}, "last_activity_at": None, "label_list": [] } } ) responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/accounts/12/conversations/2/messages', json={ "id": 7487848, "content": "hello", "inbox_id": 14036, "conversation_id": 2, "message_type": 0, "content_type": "text", "content_attributes": {}, "created_at": 1651679560, "private": False, "source_id": None, "sender": { "additional_attributes": {}, "custom_attributes": {}, "email": None, "id": 16951464, "identifier": None, "name": "test@chat.com", "phone_number": None, "thumbnail": "", "type": "contact" } } ) with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) with patch.object(Agent, "handle_text") as mock_agent: mock_agent.side_effect = self.mock_agent_response response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "!@#$%^&*()"}).encode('utf-8'), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) responses.stop() actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) assert isinstance(actual["data"]["nlu"], dict) assert actual["data"]["nlu"]["intent"] assert actual["data"]["nlu"]["entities"] == [] assert actual["data"]["nlu"]["intent_ranking"] assert actual["data"]["nlu"]["response_selector"] assert actual["data"]["nlu"]["slots"] assert isinstance(actual["data"]["action"], list) assert actual["data"]["response"] assert actual["data"]["agent_handoff"] == {'initiate': True, 'type': 'chatwoot', 'additional_properties': { 'destination': 2, 'pubsub_token': 'M31nmFCfo2wc5FonU3qGjonB' }} assert len(EndUserMetricsProcessor.get_logs(bot)) == 1 def test_chat_with_chatwoot_agent_fallback_existing_contact(self): with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) with patch.object(KaironAgent, "handle_text") as mock_agent: mock_agent.side_effect = self.mock_agent_response responses.reset() responses.start() responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/inboxes/tSaxZWrxyFowmFHzWwhMwi5y/contacts/09c15b5f-c4a4-4d15-ba45-ce99bc7b1e71/conversations', json={ "id": 3, "inbox_id": 14036, "contact_last_seen_at": 0, "status": "open", "agent_last_seen_at": 0, "messages": [], "contact": { "id": 16951464, "name": "test@chat.com", "email": None, "phone_number": None, "account_id": 69469, "created_at": "2022-05-04T15:40:58.190Z", "updated_at": "2022-05-04T15:40:58.190Z", "additional_attributes": {}, "identifier": None, "custom_attributes": {}, "last_activity_at": None, "label_list": [] } } ) responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/accounts/12/conversations/3/messages', json={ "id": 7487848, "content": "who can i contact?", "inbox_id": 14036, "conversation_id": 3, "message_type": 0, "content_type": "text", "content_attributes": {}, "created_at": 1651679560, "private": False, "source_id": None, "sender": { "additional_attributes": {}, "custom_attributes": {}, "email": None, "id": 16951464, "identifier": None, "name": "test@chat.com", "phone_number": None, "thumbnail": "", "type": "contact" } } ) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "@#$%^&*()_"}).encode('utf-8'), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) responses.stop() actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) assert isinstance(actual["data"]["nlu"], dict) assert actual["data"]["nlu"]["intent"] assert actual["data"]["nlu"]["entities"] == [] assert actual["data"]["nlu"]["intent_ranking"] assert actual["data"]["nlu"]["response_selector"] assert actual["data"]["nlu"]["slots"] assert isinstance(actual["data"]["action"], list) assert actual["data"]["response"] assert actual["data"]["agent_handoff"] == {'initiate': True, 'type': 'chatwoot', 'additional_properties': { 'destination': 3, 'pubsub_token': 'M31nmFCfo2wc5FonU3qGjonB' }} assert len(EndUserMetricsProcessor.get_logs(bot)) == 2 def test_chat_with_live_agent(self): responses.reset() responses.start() responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/accounts/12/conversations/2/messages', json={ "id": 7487848, "content": "hello, please resolve my ticket", "inbox_id": 14036, "conversation_id": 2, "message_type": 0, "content_type": "text", "content_attributes": {}, "created_at": 1651679560, "private": False, "source_id": None, "sender": { "additional_attributes": {}, "custom_attributes": {}, "email": None, "id": 16951464, "identifier": None, "name": "test@chat.com", "phone_number": None, "thumbnail": "", "type": "contact" } } ) response = self.fetch( f"/api/bot/{bot}/agent/live/2", method="POST", body=json.dumps({"data": "hello, please resolve my ticket"}).encode('utf-8'), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) responses.stop() def test_chat_with_live_agent_failed_to_send_message(self): responses.reset() responses.start() responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/accounts/12/conversations/2/messages', status=503, body="Temporarily unable to handle a request" ) response = self.fetch( f"/api/bot/{bot}/agent/live/2", method="POST", body=json.dumps({"data": "need help"}).encode('utf-8'), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert not actual["success"] assert actual["error_code"] == 422 assert actual["data"] is None assert actual["message"] == "Failed to send message: Service Unavailable" responses.stop() def test_chat_with_live_agent_with_integration_token(self): access_token = Authentication.generate_integration_token( bot, "test@chat.com", expiry=5, access_limit=['/api/bot/.+/agent/live/.+'], name="integration token for live agent chat" ) responses.reset() responses.start() responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/accounts/12/conversations/2/messages', json={ "id": 7487848, "content": "need help", "inbox_id": 14036, "conversation_id": 2, "message_type": 0, "content_type": "text", "content_attributes": {}, "created_at": 1651679560, "private": False, "source_id": None, "sender": { "additional_attributes": {}, "custom_attributes": {}, "email": None, "id": 16951464, "identifier": None, "name": "test@chat.com", "phone_number": None, "thumbnail": "", "type": "contact" } } ) response = self.fetch( f"/api/bot/{bot}/agent/live/2", method="POST", body=json.dumps({"data": "need help"}).encode('utf-8'), headers={"Authorization": token_type + " " + access_token, "X-USER": "test@chat.com"}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) responses.stop() def test_chat_with_chatwoot_agent_fallback_failed_to_initiate(self): with patch.object(Utility, "get_local_mongo_store") as mocked: mocked.side_effect = self.empty_store patch.dict(Utility.environment['action'], {"url": None}) with patch.object(KaironAgent, "handle_text") as mock_agent: mock_agent.side_effect = self.mock_agent_response responses.reset() responses.start() responses.add( "POST", 'https://app.chatwoot.com/public/api/v1/inboxes/tSaxZWrxyFowmFHzWwhMwi5y/contacts/09c15b5f-c4a4-4d15-ba45-ce99bc7b1e71/conversations', status=503, body="Temporarily unable to handle a request" ) response = self.fetch( f"/api/bot/{bot}/chat", method="POST", body=json.dumps({"data": "!@#$%^&*()"}).encode('utf-8'), headers={"Authorization": token_type + " " + token}, connect_timeout=0, request_timeout=0 ) actual = json.loads(response.body.decode("utf8")) self.assertEqual(response.code, 200) assert actual["success"] assert actual["error_code"] == 0 assert actual["data"] assert Utility.check_empty_string(actual["message"]) assert isinstance(actual["data"]["nlu"], dict) assert actual["data"]["nlu"]["intent"] assert actual["data"]["nlu"]["entities"] == [] assert actual["data"]["nlu"]["intent_ranking"] assert actual["data"]["nlu"]["response_selector"] assert actual["data"]["nlu"]["slots"] assert isinstance(actual["data"]["action"], list) assert actual["data"]["response"] assert actual["data"]["agent_handoff"] == {'initiate': False, 'type': 'chatwoot', 'additional_properties': None} responses.reset() responses.stop() logs = EndUserMetricsProcessor.get_logs(bot) assert len(logs) == 3 assert logs[0]['exception'] == 'Failed to create conversation: Service Unavailable'

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null

0

1

0

null

0

5

4f3bdaec5edcf181ecf1333b8ebb1accd06a94cf

170

py

Python

mobie/htm/__init__.py

platybrowser/mobie-python

43341cd92742016a3a0d602325bb93b94c3b4c36

[ "MIT" ]

null

mobie/htm/__init__.py

platybrowser/mobie-python

43341cd92742016a3a0d602325bb93b94c3b4c36

[ "MIT" ]

1

2020-02-28T20:43:33.000Z

mobie/htm/__init__.py

platybrowser/mobie-python

43341cd92742016a3a0d602325bb93b94c3b4c36

[ "MIT" ]

null

from .data_import import add_images, add_segmentations from .grid_views import add_plate_grid_view, get_merged_plate_grid_view from .utils import compute_contrast_limits

42.5

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0.888235

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5.111111

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null

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1

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5

4f5d283b7fa2f671004975bd05690f8c82e7e2ae

61

py

Python

katas/kyu_7/first_class_function_factory.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_7/first_class_function_factory.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_7/first_class_function_factory.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

def factory(x): return lambda b: map(lambda a: a * x, b)

20.333333

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0.606557

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null

0

1

0

1

0

5

4f7d71bfc1b372db4b579e9eeff92a4baf48edc9

90

py

Python

ratings/admin.py

AleenaShibu/movie_review

94342fa87d1f71ae519bf40f160274f972657df8

[ "MIT" ]

null

ratings/admin.py

AleenaShibu/movie_review

94342fa87d1f71ae519bf40f160274f972657df8

[ "MIT" ]

6

2020-06-05T23:37:42.000Z

2021-06-09T18:37:27.000Z

ratings/admin.py

AleenaShibu/movie_review

94342fa87d1f71ae519bf40f160274f972657df8

[ "MIT" ]

null

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

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90

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90

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null

0

1

0

1

0

1

0

5

4fa9711c2a11aa2fa4fcb27cbfbf75c4811abca4

41

py

Python

judger/test-code/A+B(DSG).py

ShadowIterator/2018SE_THSSOJ

5bc9a1dc9d7d65c3159c8c4727db3b904e0efa6a

[ "MIT" ]

null

judger/test-code/A+B(DSG).py

ShadowIterator/2018SE_THSSOJ

5bc9a1dc9d7d65c3159c8c4727db3b904e0efa6a

[ "MIT" ]

1

2019-01-17T08:59:56.000Z

2019-01-18T09:18:36.000Z

judger/test-code/A+B(DSG).py

ShadowIterator/2018SE_THSSOJ

5bc9a1dc9d7d65c3159c8c4727db3b904e0efa6a

[ "MIT" ]

null

import os os.system("shutdown -s -t 1 ")

20.5

31

0.658537

8

41

3.375

0.875

0

0.029412

0.170732

41

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1

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null

0

1

0

1

0

5

4faed31fce97625907ea01a06ee972d9d45ce52d

106

py

Python

kinesisconsumer/__init__.py

adriangalera/dynamodb-timeseries

6ab72cc92c8bf2c8808959f2490f63e22e76e777

[ "MIT" ]

16

2019-08-17T06:40:36.000Z

2021-01-28T15:58:02.000Z

kinesisconsumer/__init__.py

adriangalera/dynamodb-timeseries

6ab72cc92c8bf2c8808959f2490f63e22e76e777

[ "MIT" ]

4

2021-03-10T03:50:17.000Z

2022-02-18T18:17:41.000Z

kinesisconsumer/__init__.py

adriangalera/dynamodb-timeseries

6ab72cc92c8bf2c8808959f2490f63e22e76e777

[ "MIT" ]

1

2019-11-27T15:40:53.000Z

"""This module is the one that consumes messages from the Kinesis stream and inserts into the DynamoDB"""

53

105

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17

106

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0.882353

0

0.160377

106

1

106

0.932584

0.933962

0

null

0

null

0

null

0

null

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null

true

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0

1

0

1

0

null

0

1

0

5

8c1f3d9088c53b54803065dc68783565d4d059e8

52

py

Python

src/identity_number_validator/countries/__init__.py

DavidArmendariz/identity-number-validator-python

f79b53c1511db155c8babc580c0c7542e88731be

[ "MIT" ]

null

src/identity_number_validator/countries/__init__.py

DavidArmendariz/identity-number-validator-python

f79b53c1511db155c8babc580c0c7542e88731be

[ "MIT" ]

null

src/identity_number_validator/countries/__init__.py

DavidArmendariz/identity-number-validator-python

f79b53c1511db155c8babc580c0c7542e88731be

[ "MIT" ]

null

from .ecuador import ecuadorian_identifier_validator

52

0.923077

6

52

7.666667

1

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52

1

52

0.938776

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null

0

1

0

1

0

1

0

5

8c6008dc9c4d7929524eaee5773e1b9e0f7e3628

217

py

Python

app/admin.py

kennedybabu/my-hood

cd5b2f45385f41ece77b5786429f20b758a86703

[ "Unlicense" ]

null

app/admin.py

kennedybabu/my-hood

cd5b2f45385f41ece77b5786429f20b758a86703

[ "Unlicense" ]

null

app/admin.py

kennedybabu/my-hood

cd5b2f45385f41ece77b5786429f20b758a86703

[ "Unlicense" ]

null

from django.contrib import admin from .models import Hood, Location,Post, User # Register your models here. admin.site.register(User) admin.site.register(Hood) admin.site.register(Location) admin.site.register(Post)

24.111111

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217

5.4375

0.4375

0.206897

0.390805

0

0.092166

217

8

46

27.125

0.883249

0.119816

0

1

0

true

0

0.333333

0

0.333333

0

null

1

0

1

0

null

0

1

0

1

0

5

8b3e87bf7873fdcad1569b317f89855e9ad95d27

125

py

Python

empleados/admin.py

amgdark/SAM

e1a3a6a9cdced6c0496d9ef8480b43981272a0ea

[ "MIT" ]

null

empleados/admin.py

amgdark/SAM

e1a3a6a9cdced6c0496d9ef8480b43981272a0ea

[ "MIT" ]

null

empleados/admin.py

amgdark/SAM

e1a3a6a9cdced6c0496d9ef8480b43981272a0ea

[ "MIT" ]

null

from django.contrib import admin from .models import Area, Empleado admin.site.register(Area) admin.site.register(Empleado)

20.833333

34

0.816

18

125

5.666667

0.555556

0.176471

0.333333

0

0.096

125

6

35

20.833333

0.902655

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

8c73f8fa58d5c32b80b030549ab36a3eb2b0ae52

143

py

Python

installer.py

GTortorelli/BotClicker

1eb14729f2bb03384595097b9010bc5b06572082

[ "MIT" ]

1

2020-10-19T17:38:44.000Z

installer.py

GTortorelli/BotClicker

1eb14729f2bb03384595097b9010bc5b06572082

[ "MIT" ]

null

installer.py

GTortorelli/BotClicker

1eb14729f2bb03384595097b9010bc5b06572082

[ "MIT" ]

null

import os os.system('pip3 install pipenv') os.system('pipenv --python 3.8') os.system('pipenv install pyautogui') os.system('pipenv shell')

15.888889

37

0.727273

22

143

4.727273

0.5

0.307692

0.403846

0

0.023622

0.111888

143

9

38

15.888889

0.795276

0

0.513889

0

1

0

true

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

1

0

5

8c898bb817fd94a95000ab95939d1f4ae06491fa

156

py

Python

scenarios/event_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

12

2015-04-12T06:18:33.000Z

2021-03-03T23:54:19.000Z

scenarios/event_show/executable.py

takwas/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

1

2021-11-24T20:10:19.000Z

scenarios/event_show/executable.py

takwas/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

14

2015-03-23T17:52:06.000Z

2021-11-24T11:04:15.000Z

import balanced balanced.configure('ak-test-2eKlj1ZDfAcZSARMf3NMhBHywDej0avSY') event = balanced.Event.fetch('/events/EVc7cbc12497ae11e48e4606debca797bb')

31.2

74

0.852564

13

156

10.230769

0.769231

0

0.14094

0.044872

156

5

74

31.2

0.751678

0

0.528662

0

1

0

false

0

0.333333

0

0.333333

0

1

0

1

null

0

1

0

1

null

0

1

0

5

8cb14e177492d0c3dd626a7648620f755882301c

146

py

Python

Weather.py/api_keys.py

DanyCh093/Python-Api-Challenge

2432d065b81339874afc671d4caf1f79854824a9

[ "ADSL" ]

null

Weather.py/api_keys.py

DanyCh093/Python-Api-Challenge

2432d065b81339874afc671d4caf1f79854824a9

[ "ADSL" ]

null

Weather.py/api_keys.py

DanyCh093/Python-Api-Challenge

2432d065b81339874afc671d4caf1f79854824a9

[ "ADSL" ]

null

# OpenWeatherMap API Key weather_api_key = "632bef0b951137f086df74071753c3bf" # Google API Key g_key = "AIzaSyDgfZd6Dou_WWL5PMTmJMZC75_e1Bw7ndA"

24.333333

52

0.842466

15

146

7.866667

0.666667

0.152542

0

0.21374

0.10274

146

5

53

29.2

0.687023

0.253425

0

0.669811

0

1

0

false

0

1

0

null

0

1

0

1

0

1

null

0

5

507cee55242a75d73032fb25d9bfcad914505b0a

179

py

Python

src/elchempy/indexer/__init__.py

MyPyDavid/ECpy

b74842b64eca86d2181067fdb22bfa8fa4b2c8bb

[ "MIT" ]

3

2022-01-04T09:06:15.000Z

2022-03-05T08:24:01.000Z

src/elchempy/indexer/__init__.py

MyPyDavid/ECpy

b74842b64eca86d2181067fdb22bfa8fa4b2c8bb

[ "MIT" ]

null

src/elchempy/indexer/__init__.py

MyPyDavid/ECpy

b74842b64eca86d2181067fdb22bfa8fa4b2c8bb

[ "MIT" ]

1

2022-03-05T12:17:49.000Z

# from .. import FolderOps # from .RunEC_classifier import * # from .ExtraInfo import * # from prepare_input import * # import FileHelper # __all__ = (RunEC_classifier.__all__)

19.888889

38

0.743017

20

179

6.1

0.5

0.245902

0

0.162011

179

8

39

22.375

0.813333

0.916201

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

507df6ce6b60ab34dc118a7242be21d3d972f6d4

288

py

Python

20-fs-ias-lec/groups/05-loraLink/src/old/Feed_Sender_release3/Feed_Sender_1/lib/lora_test_sensor_layer.py

Kyrus1999/BACnet

5be8e1377252166041bcd0b066cce5b92b077d06

[ "MIT" ]

8

2020-03-17T21:12:18.000Z

2021-12-12T15:55:54.000Z

20-fs-ias-lec/groups/05-loraLink/src/old/Feed_Sender_release3/Feed_Sender_1/lib/lora_test_sensor_layer.py

Kyrus1999/BACnet

5be8e1377252166041bcd0b066cce5b92b077d06

[ "MIT" ]

2

2021-07-19T06:18:43.000Z

2022-02-10T12:17:58.000Z

20-fs-ias-lec/groups/05-loraLink/src/old/Feed_Sender_release3/Feed_Sender_1/lib/lora_test_sensor_layer.py

Kyrus1999/BACnet

5be8e1377252166041bcd0b066cce5b92b077d06

[ "MIT" ]

25

2020-03-20T09:32:45.000Z

2021-07-18T18:12:59.000Z

from lora_feed_layer import Lora_Feed_Layer class Lora_Test_Sensor_Layer: def __init__(self, feed_layer): self.feed_layer = feed_layer self.feed_layer.subscribe(self.callback_new_events, 1) def callback_new_events(self, wired): print(wired)

24

63

0.708333

40

288

4.625

0.45

0.291892

0.210811

0.183784

0.237838

0

0.004484

0.225694

288

11

64

26.181818

0.825112

0

1

0.285714

false

0

0.142857

0

0.571429

0.142857

0

null

1

0

null

0

1

0

1

0

5

50c262526920c72d2f9e80dc9951dff10594a041

64

py

Python

verygoodpackage/subpackage_a/__init__.py

BiAPoL/example-repo-sphinx

a3fac607f47f1e68adb35f5409e8477824114224

[ "BSD-3-Clause" ]

null

verygoodpackage/subpackage_a/__init__.py

BiAPoL/example-repo-sphinx

a3fac607f47f1e68adb35f5409e8477824114224

[ "BSD-3-Clause" ]

null

verygoodpackage/subpackage_a/__init__.py

BiAPoL/example-repo-sphinx

a3fac607f47f1e68adb35f5409e8477824114224

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from ._operations import add, subtract

16

38

0.65625

8

64

5.125

1

0

0.018868

0.171875

64

3

39

21.333333

0.754717

0.328125

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

50ca80f40b0379fab1082666702038dcb608ce39

3,499

py

Python

app/models.py

beedev-services/portfolio

8e27b89a3b4c9d79307fb2ef0ebcb83c88cb0a6e

[ "MIT" ]

null

app/models.py

beedev-services/portfolio

8e27b89a3b4c9d79307fb2ef0ebcb83c88cb0a6e

[ "MIT" ]

null

app/models.py

beedev-services/portfolio

8e27b89a3b4c9d79307fb2ef0ebcb83c88cb0a6e

[ "MIT" ]

null

from django.db import models STATUS = [ {"id": 0, "status": "Current"}, {"id": 1, "status": "Past"} ] TYPE = [ {"id": 0, "type": "Front End"}, {"id": 1, "type": "Back End"}, {"id": 2, "type": "Full Stack"}, {"id": 3, "type": "Organization"} ] UPDATETYPE = [ {"id": 0, "updateType": "Current"}, {"id": 1, "updateType": "Past"}, {"id": 2, "updateType": "Full Stack"}, {"id": 3, "updateType": "Resume"}, {"id": 4, "updateType": "Contact"}, {"id": 5, "updateType": "Organization"}, {"id": 6, "updateType": "Front End"}, {"id": 7, "updateType": "Back End"} ] class UserManager(models.Manager): def validate(self, form): errors = {} usernameCheck = self.filter(username=form['username']) if usernameCheck: errors['username'] ='Sorry that username has been taken please chose a different one' if len(form['password']) < 5: errors['password'] = 'Password must be at least 5 characters long' if form['password'] != form['confirm']: errors['password'] = 'Password do not match' return errors class User(models.Model): username = models.CharField(max_length=45) password = models.CharField(max_length=45) objects = UserManager() class Contact(models.Model): email = models.CharField(max_length=100) linkedIn = models.CharField(max_length=255) github = models.CharField(max_length=255) class CurrentProject(models.Model): currName = models.CharField(max_length=255) currDesc = models.CharField(max_length=255) currImg = models.CharField(max_length=255) currSource = models.CharField(max_length=255, blank=True) currLink = models.CharField(max_length=255, blank=True) cOrder = models.IntegerField() class PastProject(models.Model): pastName = models.CharField(max_length=255) pastDesc = models.CharField(max_length=255) pastImg = models.CharField(max_length=255) pastSource = models.CharField(max_length=255, blank=True) pastLink = models.CharField(max_length=255, blank=True) pOrder = models.IntegerField() class Skill(models.Model): skillName = models.CharField(max_length=50, unique=True) class Work(models.Model): position = models.CharField(max_length=255) company = models.CharField(max_length=255) dates = models.CharField(max_length=255) jobDesc01 = models.CharField(max_length=100) jobDesc02 = models.CharField(max_length=100, blank=True) jobDesc03 = models.CharField(max_length=100, blank=True) jobDesc04 = models.CharField(max_length=100, blank=True) wOrder = models.IntegerField() class Education(models.Model): school = models.CharField(max_length=255) gradDate = models.CharField(max_length=50) course = models.CharField(max_length=255) eOrder = models.IntegerField() class Updated(models.Model): whyUpdate = models.CharField(max_length=255) updateType = models.IntegerField(choices=UPDATETYPE, default=0) updatedAt = models.DateField(auto_now=True) class AllProjects(models.Model): projName = models.CharField(max_length=255) projDesc = models.CharField(max_length=255, blank=True) projSource = models.CharField(max_length=255, blank=True) projLink = models.CharField(max_length=255, blank=True) projOrg = models.CharField(max_length=255, blank=True) theType = models.IntegerField(choices=TYPE, default=0) theStatus = models.IntegerField(choices=STATUS, default=0)

35.343434

97

0.68048

421

3,499

5.577197

0.296912

0.204429

0.245315

0.327087

0.408433

0.168654

0

0.041291

0.176336

3,499

98

35.704082

0.773421

0

0.123178

0

1

0.012195

false

0.060976

0.012195

0

0.658537

0

null

1

0

null

0

1

0

1

0

5

0fa502696ed971392528b05226f9611f81e7c150

49

py

Python

_/0349_04_Code/02.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

_/0349_04_Code/02.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

_/0349_04_Code/02.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

class ExtensionField(models.TextField): pass

16.333333

39

0.77551

5

49

7.6

1

0

0.142857

49

2

40

24.5

0.904762

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

0fc5d1595f747c6a3ae9f9d6eea17809a0ed242e

245

py

Python

test/static_analysis/descriptors.py

rosslannen/jedi

b8d2757cdbe8ece6778031d0536a759b3273d15e

[ "MIT" ]

4,213

2015-01-02T15:43:22.000Z

2022-03-31T16:15:01.000Z

test/static_analysis/descriptors.py

rosslannen/jedi

b8d2757cdbe8ece6778031d0536a759b3273d15e

[ "MIT" ]

1,392

2015-01-02T18:43:39.000Z

2022-03-27T18:43:59.000Z

test/static_analysis/descriptors.py

PeterJCLaw/jedi

070f191f550990c23220d7f209df076178307cf6

[ "MIT" ]

525

2015-01-02T19:07:31.000Z

2022-03-13T02:03:20.000Z

# classmethod class TarFile(): @classmethod def open(cls, name, **kwargs): return cls.taropen(name, **kwargs) @classmethod def taropen(cls, name, **kwargs): return name # should just work TarFile.open('hallo')

17.5

42

0.628571

28

245

5.5

0.5

0.194805

0.168831

0.246753

0

0.240816

245

13

43

18.846154

0.827957

0.114286

0

0.25

0

0.023364

0

1

0.25

false

0

0.25

0.625

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e84072b621bb463008aa22accff806ea24c6a526

41

py

Python

src/compas/data/exceptions.py

funkchaser/compas

b58de8771484aa0c6068d43df78b1679503215de

[ "MIT" ]

235

2017-11-07T07:33:22.000Z

2022-03-25T16:20:00.000Z

src/compas/data/exceptions.py

funkchaser/compas

b58de8771484aa0c6068d43df78b1679503215de

[ "MIT" ]

770

2017-09-22T13:42:06.000Z

2022-03-31T21:26:45.000Z

src/compas/data/exceptions.py

funkchaser/compas

b58de8771484aa0c6068d43df78b1679503215de

[ "MIT" ]

99

2017-11-06T23:15:28.000Z

2022-03-25T16:05:36.000Z

class DecoderError(Exception): pass

10.25

30

0.731707

4

41

7.5

1

0

0.195122

41

3

31

13.666667

0.909091

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

e84a835dc13c0405fa1fa7e65fc743abf751e58f

1,172

py

Python

tests/hierarchies/test_type_validation.py

tavaresrodrigo/kopf

97e1c7a926705a79dabce2931e96a924252b61df

[ "MIT" ]

855

2020-08-19T09:40:38.000Z

2022-03-31T19:13:29.000Z

tests/hierarchies/test_type_validation.py

tavaresrodrigo/kopf

97e1c7a926705a79dabce2931e96a924252b61df

[ "MIT" ]

715

2019-12-23T14:17:35.000Z

2022-03-30T20:54:45.000Z

tests/hierarchies/test_type_validation.py

tavaresrodrigo/kopf

97e1c7a926705a79dabce2931e96a924252b61df

[ "MIT" ]

97

2019-04-25T09:32:54.000Z

2022-03-30T10:15:30.000Z

import pytest import kopf from kopf._cogs.structs.bodies import Body def test_in_owner_reference_appending(): with pytest.raises(TypeError) as e: kopf.append_owner_reference(object(), Body({})) assert "K8s object class is not supported" in str(e.value) def test_in_owner_reference_removal(): with pytest.raises(TypeError) as e: kopf.remove_owner_reference(object(), Body({})) assert "K8s object class is not supported" in str(e.value) def test_in_name_harmonization(): with pytest.raises(TypeError) as e: kopf.harmonize_naming(object(), 'x') assert "K8s object class is not supported" in str(e.value) def test_in_namepace_adjustment(): with pytest.raises(TypeError) as e: kopf.adjust_namespace(object(), 'x') assert "K8s object class is not supported" in str(e.value) def test_in_labelling(): with pytest.raises(TypeError) as e: kopf.label(object(), {}) assert "K8s object class is not supported" in str(e.value) def test_in_adopting(): with pytest.raises(TypeError) as e: kopf.adopt(object(), Body({})) assert "K8s object class is not supported" in str(e.value)

28.585366

62

0.703072

172

1,172

4.645349

0.255814

0.052566

0.067584

0.187735

0.770964

0.724656

0.484355

0

0.006296

0.18686

1,172

40

63

29.3

0.832109

0

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0

0.170648

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0.222222

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true

0

0.111111

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

5

e84b4eeaee825403c0604bb494dc71ab75b667c3

53

py

Python

www/speed/benchmarks/create_function_single_pos_arg.py

raspberrypieman/brython

2cc23d1da6acda604d4a56b4c9d464eb7e374eda

[ "BSD-3-Clause" ]

5,926

2015-01-01T07:45:08.000Z

2022-03-31T12:34:38.000Z

www/speed/benchmarks/create_function_single_pos_arg.py

raspberrypieman/brython

2cc23d1da6acda604d4a56b4c9d464eb7e374eda

[ "BSD-3-Clause" ]

1,728

2015-01-01T01:09:12.000Z

2022-03-30T23:25:22.000Z

www/speed/benchmarks/create_function_single_pos_arg.py

raspberrypieman/brython

2cc23d1da6acda604d4a56b4c9d464eb7e374eda

[ "BSD-3-Clause" ]

574

2015-01-02T01:36:10.000Z

2022-03-26T10:18:48.000Z

for i in range(1000000): def f(x): pass

10.6

24

0.509434

9

53

3

1

0

0.212121

0.377358

53

4

25

13.25

0.606061

0

1

0.333333

false

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e86fcdd601baefa97f77e588ca123193aff8c763

25,325

py

Python

axolotl/algorithms/tuners/custom_hps.py

tods-doc/axolotl

6fc87bedb514677db09c039d492d1d3c7864913d

[ "Apache-2.0" ]

null

axolotl/algorithms/tuners/custom_hps.py

tods-doc/axolotl

6fc87bedb514677db09c039d492d1d3c7864913d

[ "Apache-2.0" ]

null

axolotl/algorithms/tuners/custom_hps.py

tods-doc/axolotl

6fc87bedb514677db09c039d492d1d3c7864913d

[ "Apache-2.0" ]

null

import sys from collections import OrderedDict from d3m.metadata import hyperparams epsilon = sys.float_info.epsilon clf_xgboost_config = dict( n_estimators=hyperparams.UniformInt( lower=10, upper=50, default=20, description='The number of trees in the forest.', semantic_types=[ 'https://metadata.datadrivendiscovery.org/types/TuningParameter', 'https://metadata.datadrivendiscovery.org/types/ResourcesUseParameter', ], ), n_more_estimators=hyperparams.UniformInt( lower=10, upper=50, default=20, description='When continuing a fit, it controls how many more trees to add every time.', semantic_types=[ 'https://metadata.datadrivendiscovery.org/types/TuningParameter', 'https://metadata.datadrivendiscovery.org/types/ResourcesUseParameter', ], ), max_depth=hyperparams.UniformInt( lower=5, upper=50, default=30, lower_inclusive=True, upper_inclusive=True, description='The maximum depth of the tree.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), learning_rate=hyperparams.LogUniform( lower=1e-4, upper=1e-1, default=0.05, lower_inclusive=True, upper_inclusive=True, description=r'Boosting learning rate (xgb\`s \"eta\")', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), gamma=hyperparams.Constant[float]( default=0.0, description='Minimum loss reduction required to make a further partition on a leaf node of the tree', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), min_child_weight = hyperparams.Constant[int]( default=1, description='Minimum sum of instance weight (hessian) needed in a child. If the tree partition step results ' 'in a leaf node with the sum of instance weight less than min_child_weight, then the building ' 'process will give up further partitioning ', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), # max_delta_step = hyperparams.Union[Union[int, None]]( # configuration=OrderedDict( # limit=hyperparams.Bounded[int]( # lower=1, # upper=None, # default=1, # description='Maximum delta step we allow each leaf output to be.' # ), # unlimited=hyperparams.Enumeration[int]( # values=[0], # default=0, # description='No constraint.', # ), # ), # default='unlimited', # description='Maximum delta step we allow.', # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), subsample=hyperparams.Constant[float]( default=1.0, description='Subsample ratio of the training instances,this will prevent overfitting. Subsampling will occur ' 'once in every boosting iteration.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), colsample_bytree=hyperparams.Constant[float]( default=1.0, description='Subsample ratio of columns when constructing each tree. Subsampling will occur once in every ' 'boosting iteration', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), colsample_bylevel=hyperparams.Constant[float]( default=1.0, description='Subsample ratio of columns for each split, in each level. Subsampling will occur each time a new ' 'split is made', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), reg_alpha=hyperparams.Uniform( lower=0.1, upper=1.0, default=0.5, lower_inclusive=True, upper_inclusive=True, description='L1 regularization term on weights. Increasing this value will make model more conservative.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), reg_lambda=hyperparams.Uniform( lower=0.1, upper=1.0, default=0.5, lower_inclusive=True, upper_inclusive=True, description='L2 regularization term on weights. Increasing this value will make model more conservative.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), # scale_pos_weight = hyperparams.Bounded[float]( # lower=0, # upper=None, # default=1, # description='Control the balance of positive and negative weights, useful for unbalanced classes', # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), base_score=hyperparams.Bounded[float]( lower=0, upper=None, default=0.5, description='The initial prediction score of all instances, global bias.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), ) dfs_single_tab_config = dict( max_percent_null=hyperparams.Uniform( lower=0, upper=1, default=0.9, lower_inclusive=True, upper_inclusive=True, description='The maximum allowed correlation between any two features returned. A lower value means features will be more uncorrelated', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) ) lgbm_clf_config = dict( n_estimators=hyperparams.UniformInt( lower=10, upper=50, default=20, description='The number of trees in the forest.', semantic_types=[ 'https://metadata.datadrivendiscovery.org/types/TuningParameter', 'https://metadata.datadrivendiscovery.org/types/ResourcesUseParameter', ], ), n_more_estimators=hyperparams.UniformInt( lower=10, upper=50, default=20, description='When continuing a fit, it controls how many more trees to add every time.', semantic_types=[ 'https://metadata.datadrivendiscovery.org/types/TuningParameter', 'https://metadata.datadrivendiscovery.org/types/ResourcesUseParameter', ], ), max_depth=hyperparams.UniformInt( lower=5, upper=50, default=30, lower_inclusive=True, upper_inclusive=True, description='The maximum depth of the tree.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), # num_leaves_base=hyperparams.Bounded[float]( # lower=1, # upper=2, # default=2, # description='Maximum tree leaves for base learners, this value is the base of the formula num_leaves_base^(max_depth)', # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), # subsample_for_bin=hyperparams.Bounded[int]( # lower=1, # upper=None, # default=200000, # description='number of data that sampled to construct histogram bins', # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), learning_rate=hyperparams.LogUniform( lower=1e-4, upper=1e-1, default=0.05, lower_inclusive=True, upper_inclusive=True, description=r'Boosting learning rate (xgb\`s \"eta\")', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), min_child_weight = hyperparams.Constant[int]( default=1, description='Minimum sum of instance weight (hessian) needed in a child. If the tree partition step results ' 'in a leaf node with the sum of instance weight less than min_child_weight, then the building ' 'process will give up further partitioning ', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), # min_child_samples=hyperparams.Bounded[int]( # lower=0, # upper=None, # default=20, # description='minimal number of data in one leaf. Can be used to deal with over-fitting', # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), # max_delta_step = hyperparams.Union[Union[int, None]]( # configuration=OrderedDict( # limit=hyperparams.Bounded[int]( # lower=1, # upper=None, # default=1, # description='Maximum delta step we allow each leaf output to be.' # ), # unlimited=hyperparams.Enumeration[int]( # values=[0], # default=0, # description='No constraint.', # ), # ), # default='unlimited', # description='Maximum delta step we allow.', # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), subsample=hyperparams.Constant[float]( default=1.0, description='Subsample ratio of the training instances,this will prevent overfitting. Subsampling will occur ' 'once in every boosting iteration.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), subsample_freq=hyperparams.Bounded[int]( lower=0, upper=1, default=0, description='frequency for bagging', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), colsample_bytree=hyperparams.Constant[float]( default=1.0, description='Subsample ratio of columns when constructing each tree. Subsampling will occur once in every ' 'boosting iteration', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), min_split_gain=hyperparams.Bounded[float]( lower=0, upper=None, default=0, description='the minimal gain to perform split', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), reg_alpha=hyperparams.Uniform( lower=0.1, upper=1.0, default=0.5, lower_inclusive=True, upper_inclusive=True, description='L1 regularization term on weights. Increasing this value will make model more conservative.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), reg_lambda=hyperparams.Uniform( lower=0.1, upper=1.0, default=0.5, lower_inclusive=True, upper_inclusive=True, description='L2 regularization term on weights. Increasing this value will make model more conservative.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), ) sk_logistic_regression_config = dict( dual=hyperparams.Constant[bool]( default=False, description='Dual or primal formulation. Dual formulation is only implemented for l2 penalty with liblinear solver. Prefer dual=False when n_samples > n_features.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), penalty=hyperparams.Choice( choices={ 'l1': hyperparams.Hyperparams.define( configuration=OrderedDict({}) ), 'l2': hyperparams.Hyperparams.define( configuration=OrderedDict({}) ), 'none': hyperparams.Hyperparams.define( configuration=OrderedDict({}) ), 'elasticnet': hyperparams.Hyperparams.define( configuration=OrderedDict({ 'l1_ratio': hyperparams.Union( configuration=OrderedDict({ 'float': hyperparams.Uniform( lower=0, upper=1, default=0.001, lower_inclusive=True, upper_inclusive=True, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), # 'l1_ratio must be between 0 and 1; got (l1_ratio=None)' # 'none': hyperparams.Constant( # default=None, # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ) }), default='float', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ) }) ) }, default='l2', description='Used to specify the norm used in the penalization. The \'newton-cg\', \'sag\' and \'lbfgs\' solvers support only l2 penalties.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), intercept_scaling=hyperparams.Constant[float]( default=1, description='Useful only when the solver \'liblinear\' is used and self.fit_intercept is set to True. In this case, x becomes [x, self.intercept_scaling], i.e. a "synthetic" feature with constant value equal to intercept_scaling is appended to the instance vector. The intercept becomes ``intercept_scaling * synthetic_feature_weight``. Note! the synthetic feature weight is subject to l1/l2 regularization as all other features. To lessen the effect of regularization on synthetic feature weight (and therefore on the intercept) intercept_scaling has to be increased.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), ) sk_decision_tree_clf_config = dict( min_samples_split=hyperparams.Union( configuration=OrderedDict({ 'absolute': hyperparams.Constant[int]( default=2, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'percent': hyperparams.Bounded[float]( default=0.25, lower=0, upper=1, lower_inclusive=False, # upper_inclusive=False, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) }), default='absolute', description='The minimum number of samples required to split an internal node: - If int, then consider `min_samples_split` as the minimum number. - If float, then `min_samples_split` is a percentage and `ceil(min_samples_split * n_samples)` are the minimum number of samples for each split. .. versionchanged:: 0.18 Added float values for percentages.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), max_features=hyperparams.Union( configuration=OrderedDict({ # max_features must be in (0, n_features] # 'specified_int': hyperparams.Bounded[int]( # lower=0, # upper=None, # default=0, # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), 'calculated': hyperparams.Enumeration[str]( values=['auto', 'sqrt', 'log2'], default='auto', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'none': hyperparams.Constant( default=None, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'percent': hyperparams.Bounded[float]( default=0.25, lower=0, upper=1, lower_inclusive=False, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) }), default='none', description='The number of features to consider when looking for the best split: - If int, then consider `max_features` features at each split. - If float, then `max_features` is a percentage and `int(max_features * n_features)` features are considered at each split. - If "auto", then `max_features=sqrt(n_features)`. - If "sqrt", then `max_features=sqrt(n_features)`. - If "log2", then `max_features=log2(n_features)`. - If None, then `max_features=n_features`. Note: the search for a split does not stop until at least one valid partition of the node samples is found, even if it requires to effectively inspect more than ``max_features`` features.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), # 'max_leaf_nodes 0 must be either None or larger than 1' max_leaf_nodes=hyperparams.Constant( default=None, description='Grow a tree with ``max_leaf_nodes`` in best-first fashion. Best nodes are defined as relative reduction in impurity. If None then unlimited number of leaf nodes.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), ) sk_sgd_clf_config = dict( validation_fraction=hyperparams.Bounded[float]( default=0.1, lower=0, upper=0.99999999999, lower_inclusive=False, # upper_inclusive=False, description='The proportion of training data to set aside as validation set for early stopping. Must be between 0 and 1. Only used if early_stopping is True.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), # eta0 must be > 0 eta0=hyperparams.Bounded[float]( lower=0.0, upper=1.0, default=0.1, lower_inclusive=False, description='The initial learning rate for the \'constant\' or \'invscaling\' schedules. The default value is 0.0 as eta0 is not used by the default schedule \'optimal\'.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), ) sk_random_forest_clf_config = dict( max_features=hyperparams.Union( configuration=OrderedDict({ # max_features must be in (0, n_features] # 'specified_int': hyperparams.Bounded[int]( # lower=0, # upper=None, # default=0, # semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], # ), 'calculated': hyperparams.Enumeration[str]( values=['auto', 'sqrt', 'log2'], default='auto', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'none': hyperparams.Constant( default=None, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'percent': hyperparams.Uniform( default=0.25, lower=0, upper=1, lower_inclusive=True, upper_inclusive=False, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) }), default='calculated', description='The number of features to consider when looking for the best split: - If int, then consider `max_features` features at each split. - If float, then `max_features` is a percentage and `int(max_features * n_features)` features are considered at each split. - If "auto", then `max_features=sqrt(n_features)`. - If "sqrt", then `max_features=sqrt(n_features)` (same as "auto"). - If "log2", then `max_features=log2(n_features)`. - If None, then `max_features=n_features`. Note: the search for a split does not stop until at least one valid partition of the node samples is found, even if it requires to effectively inspect more than ``max_features`` features.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), max_samples=hyperparams.Union( configuration=OrderedDict({ 'absolute': hyperparams.Bounded[int]( lower=0, upper=None, lower_inclusive=False, default=1, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'percent': hyperparams.Bounded[float]( default=0.9, lower=0 + epsilon, upper=1, upper_inclusive=False, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'none': hyperparams.Constant( default=None, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) }), default='none', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), ) sk_extra_tree_tree_clf_config = dict( max_features=hyperparams.Union( configuration=OrderedDict({ 'calculated': hyperparams.Enumeration[str]( values=['auto', 'sqrt', 'log2'], default='auto', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'none': hyperparams.Constant( default=None, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'percent': hyperparams.Bounded[float]( default=0.25, lower=0, upper=1, lower_inclusive=False, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) }), default='calculated', description='The number of features to consider when looking for the best split: - If int, then consider `max_features` features at each split. - If float, then `max_features` is a percentage and `int(max_features * n_features)` features are considered at each split. - If "auto", then `max_features=sqrt(n_features)`. - If "sqrt", then `max_features=sqrt(n_features)`. - If "log2", then `max_features=log2(n_features)`. - If None, then `max_features=n_features`. Note: the search for a split does not stop until at least one valid partition of the node samples is found, even if it requires to effectively inspect more than ``max_features`` features.', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ), max_samples=hyperparams.Union( configuration=OrderedDict({ 'absolute': hyperparams.Bounded[int]( lower=0, upper=None, lower_inclusive=False, default=1, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'percent': hyperparams.Bounded[float]( default=0.9, lower=0 + epsilon, upper=1, upper_inclusive=False, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ), 'none': hyperparams.Constant( default=None, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], ) }), default='none', semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'] ) ) # To avoid the issue, https://gitlab.com/TAMU_D3M/d3m_primitives/-/issues/1 tamu_feature_selection_config = dict( percentage_selected_features=hyperparams.Uniform( default=0.5, upper=1, lower=0.25, semantic_types=['https://metadata.datadrivendiscovery.org/types/TuningParameter'], description="percentage of features to select, between 0 and 1") ) config = { 'd3m.primitives.classification.xgboost_gbtree.DataFrameCommon': clf_xgboost_config, 'd3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization': dfs_single_tab_config, 'd3m.primitives.classification.light_gbm.DataFrameCommon': lgbm_clf_config, 'd3m.primitives.classification.logistic_regression.SKlearn': sk_logistic_regression_config, 'd3m.primitives.classification.decision_tree.SKlearn': sk_decision_tree_clf_config, 'd3m.primitives.classification.sgd.SKlearn': sk_sgd_clf_config, 'd3m.primitives.classification.random_forest.SKlearn': sk_random_forest_clf_config, 'd3m.primitives.classification.extra_trees.SKlearn': sk_extra_tree_tree_clf_config, 'd3m.primitives.feature_selection.skfeature.TAMU': tamu_feature_selection_config, }

47.248134

680

0.630839

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25,325

5.998087

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0.140825

0.154028

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0.699407

0.640219

0

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0.264047

25,325

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null

0

5

e87eccbfdc59002e454fb9330edeafb7503bfad1

93

py

Python

rapidsms/contrib/messagelog/tests/__init__.py

AndreLesa/rapidsms

b7f7366574733388d5e59c99dcceacf59f59080e

[ "BSD-3-Clause" ]

2

2019-04-04T20:48:52.000Z

2019-11-13T09:09:07.000Z

rapidsms/contrib/messagelog/tests/__init__.py

johanneswilm/rapidsms

d10f872496da7a5516aa6bcdf0552fc2ca0aca57

[ "BSD-3-Clause" ]

null

rapidsms/contrib/messagelog/tests/__init__.py

johanneswilm/rapidsms

d10f872496da7a5516aa6bcdf0552fc2ca0aca57

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # vim: ai ts=4 sts=4 et sw=4 from .app import * from .models import *

15.5

28

0.655914

19

93

3.210526

0.789474

0

0.04

0.193548

93

5

29

18.6

0.773333

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0

1

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true

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null

0

1

0

1

0

1

0

5

e8aa28fe779e1305b948e6593edc889a7971333f

162

py

Python

strategy/__init__.py

matthewgilbert/strategy

8993d110831ab8a2809076e5242906ec1bbaeeb2

[ "MIT" ]

6

2017-10-31T14:03:33.000Z

2020-08-02T02:19:39.000Z

strategy/__init__.py

matthewgilbert/strategy

8993d110831ab8a2809076e5242906ec1bbaeeb2

[ "MIT" ]

5

2017-12-17T01:03:32.000Z

2018-09-11T18:58:27.000Z

strategy/__init__.py

matthewgilbert/strategy

8993d110831ab8a2809076e5242906ec1bbaeeb2

[ "MIT" ]

5

2019-03-22T16:12:59.000Z

2021-08-10T13:14:55.000Z

from . import strategy from . import rebalance from . import calendar from ._version import __version__ # NOQA __all__ = ['strategy', 'rebalance', 'calendar']

20.25

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162

6.166667

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162

7

48

23.142857

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false

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1

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null

0

1

0

1

0

5

2cd2d60cb05fbd573c6c6c197b3e383c7745e91a

95

py

Python

wagtail/contrib/wagtailfrontendcache/__init__.py

balkantechnologies/BalkanCMS_core

68625199028fc96abb175e410a4a7a92c02cb261

[ "BSD-3-Clause" ]

3

2016-08-17T13:56:36.000Z

2019-04-23T19:59:25.000Z

wagtail/contrib/wagtailfrontendcache/__init__.py

balkantechnologies/BalkanCMS_core

68625199028fc96abb175e410a4a7a92c02cb261

[ "BSD-3-Clause" ]

11

2016-08-05T15:43:06.000Z

2016-12-16T13:32:23.000Z

wagtail/contrib/wagtailfrontendcache/__init__.py

balkantechnologies/BalkanCMS_core

68625199028fc96abb175e410a4a7a92c02cb261

[ "BSD-3-Clause" ]

2

2017-08-08T01:39:02.000Z

2018-05-06T06:16:10.000Z

default_app_config = 'wagtail.contrib.wagtailfrontendcache.apps.WagtailFrontendCacheAppConfig'

47.5

94

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8

95

10.375

1

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0.031579

95

1

95

0.902174

0

0.747368

0

1

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false

0

1

0

1

null

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1

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1

null

0

5