xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

f420c7cad07b73b890ce9019d4a200470cb1bcbf

948

py

Python

scrapy_framework/midwares/download_midware.py

savor007/scrapy_framework

9f1266eb2d4bb7e181d1c5352b05298e77040980

[ "MIT" ]

null

scrapy_framework/midwares/download_midware.py

savor007/scrapy_framework

9f1266eb2d4bb7e181d1c5352b05298e77040980

[ "MIT" ]

null

scrapy_framework/midwares/download_midware.py

savor007/scrapy_framework

9f1266eb2d4bb7e181d1c5352b05298e77040980

[ "MIT" ]

null

from scrapy_framework.html.request import Request from scrapy_framework.html.response import Response import random def get_ua(): first_num=random.randint(55,69) third_num=random.randint(0,3200) forth_num=random.randint(0, 140) os_type = [ '(Windows NT 6.1; WOW64)', '(Windows NT 10.0; WOW64)...

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f420caa0d727e8d433f67df3503f8152d7e6f2e7

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py

Python

tracardi/process_engine/action/v1/pro/scheduler/plugin.py

bytepl/tracardi

e8fa4684fa6bd3d05165fe48aa925fc6c1e74923

[ "MIT" ]

null

tracardi/process_engine/action/v1/pro/scheduler/plugin.py

bytepl/tracardi

e8fa4684fa6bd3d05165fe48aa925fc6c1e74923

[ "MIT" ]

null

tracardi/process_engine/action/v1/pro/scheduler/plugin.py

bytepl/tracardi

e8fa4684fa6bd3d05165fe48aa925fc6c1e74923

[ "MIT" ]

null

from pydantic import BaseModel from tracardi.domain.entity import Entity from tracardi.domain.scheduler_config import SchedulerConfig from tracardi.domain.resource import ResourceCredentials from tracardi.service.storage.driver import storage from tracardi.service.plugin.runner import ActionRunner from tracardi.servic...

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null

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f4211dfd13f13cb0b576625ee36371455d4c829c

568

py

Python

tests/test_covid_daily.py

alvarobartt/covid-daily

cb4506a007ac206e85409a13281028f6f82441a6

[ "MIT" ]

13

2020-05-23T12:25:04.000Z

2021-12-09T04:56:06.000Z

tests/test_covid_daily.py

alvarobartt/covid-daily

cb4506a007ac206e85409a13281028f6f82441a6

[ "MIT" ]

6

2020-06-02T12:18:12.000Z

2021-06-20T07:59:11.000Z

tests/test_covid_daily.py

alvarobartt/covid-daily

cb4506a007ac206e85409a13281028f6f82441a6

[ "MIT" ]

5

2020-07-02T16:48:19.000Z

2022-03-21T01:52:17.000Z

# Copyright 2020 Alvaro Bartolome, alvarobartt @ GitHub # See LICENSE for details. import pytest import covid_daily def test_overview(): params = [ { 'as_json': True }, { 'as_json': False } ] for param in params: covid_daily.overview(as_js...

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f4214fc3ae97e545eaf80e0585a829da218ecbdc

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py

Python

2021/HANFS/fence-agents/fence/agents/zvm/fence_zvmip.py

BryanWhitehurst/HPCCEA

54b7e7355b67ba3fdce2e28cc1b0e3b29d2bdefa

[ "MIT" ]

10

2019-08-12T23:00:20.000Z

2021-08-06T17:06:48.000Z

2021/HANFS/fence-agents/fence/agents/zvm/fence_zvmip.py

BryanWhitehurst/HPCCEA

54b7e7355b67ba3fdce2e28cc1b0e3b29d2bdefa

[ "MIT" ]

5

2020-06-18T23:51:58.000Z

2021-07-28T17:50:34.000Z

2021/HANFS/fence-agents/fence/agents/zvm/fence_zvmip.py

BryanWhitehurst/HPCCEA

54b7e7355b67ba3fdce2e28cc1b0e3b29d2bdefa

[ "MIT" ]

21

2019-06-10T21:03:03.000Z

2021-08-06T17:57:25.000Z

#!@PYTHON@ -tt import sys import atexit import socket import struct import logging sys.path.append("@FENCEAGENTSLIBDIR@") from fencing import * from fencing import fail, fail_usage, run_delay, EC_LOGIN_DENIED, EC_TIMED_OUT #BEGIN_VERSION_GENERATION RELEASE_VERSION="" REDHAT_COPYRIGHT="" BUILD_DATE="" #END_VERSION_GEN...

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f422b787a305cf7e7c9786d86bf5d8569355733a

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py

Python

fastestimator/architecture/pytorch/unet.py

DwijayDS/fastestimator

9b288cb2bd870f971ec4cee09d0b3205e1316a94

[ "Apache-2.0" ]

57

2019-05-21T21:29:26.000Z

2022-02-23T05:55:21.000Z

fastestimator/architecture/pytorch/unet.py

vbvg2008/fastestimator

6061a4fbbeb62a2194ef82ba8017f651710d0c65

[ "Apache-2.0" ]

93

2019-05-23T18:36:07.000Z

2022-03-23T17:15:55.000Z

fastestimator/architecture/pytorch/unet.py

vbvg2008/fastestimator

6061a4fbbeb62a2194ef82ba8017f651710d0c65

[ "Apache-2.0" ]

47

2019-05-09T15:41:37.000Z

2022-03-26T17:00:08.000Z

# Copyright 2019 The FastEstimator Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl...

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f422e0910bbd8a7ecf986379f467205dc93f05c0

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py

Python

generalfile/path.py

Mandera/generalfile

5e476a1c075fa072c7e52e62455feeb78b9bb298

[ "MIT" ]

null

generalfile/path.py

Mandera/generalfile

5e476a1c075fa072c7e52e62455feeb78b9bb298

[ "MIT" ]

null

generalfile/path.py

Mandera/generalfile

5e476a1c075fa072c7e52e62455feeb78b9bb298

[ "MIT" ]

null

import pathlib import os from generallibrary import VerInfo, TreeDiagram, Recycle, classproperty, deco_cache from generalfile.errors import InvalidCharacterError from generalfile.path_lock import Path_ContextManager from generalfile.path_operations import Path_Operations from generalfile.path_strings import Path_St...

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f4244d996a4c380f34dcf151872e78afdd5ea5e0

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py

Python

src/model/model.py

kwasnydam/animal_disambiguation

1dba0a2f40ca952a3adab925ff9ef54238cf7c1c

[ "MIT" ]

null

src/model/model.py

kwasnydam/animal_disambiguation

1dba0a2f40ca952a3adab925ff9ef54238cf7c1c

[ "MIT" ]

5

2020-03-24T17:52:45.000Z

2021-08-23T20:28:40.000Z

src/model/model.py

kwasnydam/animal_disambiguation

1dba0a2f40ca952a3adab925ff9ef54238cf7c1c

[ "MIT" ]

null

"""Contains the classification model I am going to use in my problem and some utility functions. Functions build_mmdisambiguator - build the core application object with the collaborators info Classes MMDisambiguator - core class of the application """ import pickle import os import numpy as np from sklearn....

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f425ac3324f9ff67c7cc522a90e36c4d71da699a

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py

Python

v0.5.0/nvidia/submission/code/recommendation/pytorch/load.py

myelintek/results

11c38436a158c453e3011f8684570f7a55c03330

[ "Apache-2.0" ]

44

2018-11-07T18:52:33.000Z

2019-07-06T12:48:18.000Z

v0.5.0/nvidia/submission/code/recommendation/pytorch/load.py

myelintek/results

11c38436a158c453e3011f8684570f7a55c03330

[ "Apache-2.0" ]

12

2018-12-13T18:04:36.000Z

2019-06-14T20:49:33.000Z

v0.5.0/nvidia/submission/code/recommendation/pytorch/load.py

myelintek/results

11c38436a158c453e3011f8684570f7a55c03330

[ "Apache-2.0" ]

44

2018-11-09T21:04:52.000Z

2019-06-24T07:40:28.000Z

# Copyright (c) 2018, deepakn94. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...

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f427c8d1c78db5257b6c365066dd8f7483686e6c

10,390

py

Python

hummingbot/client/command/history_command.py

sanchaymittal/hummingbot

f8d1c19dfd0875bd12717f9c46ddbe20cc7b9a0d

[ "Apache-2.0" ]

null

hummingbot/client/command/history_command.py

sanchaymittal/hummingbot

f8d1c19dfd0875bd12717f9c46ddbe20cc7b9a0d

[ "Apache-2.0" ]

null

hummingbot/client/command/history_command.py

sanchaymittal/hummingbot

f8d1c19dfd0875bd12717f9c46ddbe20cc7b9a0d

[ "Apache-2.0" ]

null

from decimal import Decimal import pandas as pd from typing import ( Any, Dict, Set, Tuple, TYPE_CHECKING) from hummingbot.client.performance_analysis import PerformanceAnalysis from hummingbot.core.utils.exchange_rate_conversion import ExchangeRateConversion from hummingbot.market.market_base impo...

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f427f297c82ca0ccff892cae6ccdb0651100e3ef

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py

Python

scripts/bin2asm.py

sami2316/asm2vec-pytorch

5de1351aeda61d7467b3231e48437fd8d34a970c

[ "MIT" ]

null

scripts/bin2asm.py

sami2316/asm2vec-pytorch

5de1351aeda61d7467b3231e48437fd8d34a970c

[ "MIT" ]

null

scripts/bin2asm.py

sami2316/asm2vec-pytorch

5de1351aeda61d7467b3231e48437fd8d34a970c

[ "MIT" ]

null

import re import os import click import r2pipe import hashlib from pathlib import Path import _pickle as cPickle def sha3(data): return hashlib.sha3_256(data.encode()).hexdigest() def validEXE(filename): magics = [bytes.fromhex('7f454c46')] with open(filename, 'rb') as f: header = f.read(4) ...

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py

Python

LazyAngus/Assets/Extensions/IOSDeploy/Scripts/Editor/post_process.py

DougLazyAngus/lazyAngus

485a8d5061ab740ab055abfc7fc5b86b864a5c7e

[ "Apache-2.0" ]

null

LazyAngus/Assets/Extensions/IOSDeploy/Scripts/Editor/post_process.py

DougLazyAngus/lazyAngus

485a8d5061ab740ab055abfc7fc5b86b864a5c7e

[ "Apache-2.0" ]

null

LazyAngus/Assets/Extensions/IOSDeploy/Scripts/Editor/post_process.py

DougLazyAngus/lazyAngus

485a8d5061ab740ab055abfc7fc5b86b864a5c7e

[ "Apache-2.0" ]

null

import os from sys import argv from mod_pbxproj import XcodeProject #import appcontroller path = argv[1] frameworks = argv[2].split(' ') libraries = argv[3].split(' ') cflags = argv[4].split(' ') ldflags = argv[5].split(' ') folders = argv[6].split(' ') print('Step 1: add system frameworks ') #if...

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f4299097184e1727c715f499e066d9e69de9e523

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py

Python

src/badge_hub.py

stottlerhenke-seattle/openbadge-hub-py

d0eb1772eb1250862041cc50071252f46d4c4771

[ "MIT" ]

null

src/badge_hub.py

stottlerhenke-seattle/openbadge-hub-py

d0eb1772eb1250862041cc50071252f46d4c4771

[ "MIT" ]

null

src/badge_hub.py

stottlerhenke-seattle/openbadge-hub-py

d0eb1772eb1250862041cc50071252f46d4c4771

[ "MIT" ]

null

#!/usr/bin/env python from __future__ import absolute_import, division, print_function import os import re import shlex import subprocess import signal import csv import logging import json import time from datetime import datetime as dt from requests.exceptions import RequestException import glob import traceback i...

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f42aede445a90e085482590f47cc1c5cb9b7e7e5

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py

Python

local_search/sat_isfayer.py

arnaubena97/SatSolver-sat_isfayer

db7edc83547786deb7bf6b1c5d75b406f877ca15

[ "MIT" ]

null

local_search/sat_isfayer.py

arnaubena97/SatSolver-sat_isfayer

db7edc83547786deb7bf6b1c5d75b406f877ca15

[ "MIT" ]

null

local_search/sat_isfayer.py

arnaubena97/SatSolver-sat_isfayer

db7edc83547786deb7bf6b1c5d75b406f877ca15

[ "MIT" ]

null

#!/usr/bin/env python3 import sys import random def read_file(file_name): """File reader and parser the num of variables, num of clauses and put the clauses in a list""" clauses =[] with open(file_name) as all_file: for line in all_file: if line.startswith('c'): continue #ignore comment...

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f42c89b9ad4a67ef2088d23901ec3eee27d8dfed

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py

Python

sparse_causal_model_learner_rl/annealer/threshold_projection.py

sergeivolodin/causality-disentanglement-rl

5a41b4a2e3d85fa7e9c8450215fdc6cf954df867

[ "CC0-1.0" ]

2

2020-12-11T05:26:24.000Z

2021-04-21T06:12:58.000Z

sparse_causal_model_learner_rl/annealer/threshold_projection.py

sergeivolodin/causality-disentanglement-rl

5a41b4a2e3d85fa7e9c8450215fdc6cf954df867

[ "CC0-1.0" ]

9

2020-04-30T16:29:50.000Z

2021-03-26T07:32:18.000Z

sparse_causal_model_learner_rl/annealer/threshold_projection.py

sergeivolodin/causality-disentanglement-rl

5a41b4a2e3d85fa7e9c8450215fdc6cf954df867

[ "CC0-1.0" ]

null

import gin import torch import logging from sparse_causal_model_learner_rl.metrics import find_value, find_key @gin.configurable def ProjectionThreshold(config, config_object, epoch_info, temp, adjust_every=100, metric_threshold=0.5, delta=0.5, source_metric_key=None, min_hyper=0, max_hyper=100...

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f42cd1526653837e6ebdebb62cc32ac0a5f88b7c

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py

Python

numpyro/contrib/control_flow/scan.py

ucals/numpyro

566a5311d660d28a630188063c03a018165a38a9

[ "Apache-2.0" ]

2

2021-01-10T06:27:51.000Z

2021-01-10T06:27:55.000Z

numpyro/contrib/control_flow/scan.py

ucals/numpyro

566a5311d660d28a630188063c03a018165a38a9

[ "Apache-2.0" ]

null

numpyro/contrib/control_flow/scan.py

ucals/numpyro

566a5311d660d28a630188063c03a018165a38a9

[ "Apache-2.0" ]

1

2020-12-23T13:27:39.000Z

# Copyright Contributors to the Pyro project. # SPDX-License-Identifier: Apache-2.0 from collections import OrderedDict from functools import partial from jax import lax, random, tree_flatten, tree_map, tree_multimap, tree_unflatten import jax.numpy as jnp from jax.tree_util import register_pytree_node_class from nu...

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f42e0214aa8abe8fa4ef98083bd64acd6f94ca90

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py

Python

e2xgrader/preprocessors/overwritecells.py

divindevaiah/e2xgrader

19eb4662e4eee5ddef673097517e4bd4fb469e62

[ "MIT" ]

2

2021-10-02T10:48:47.000Z

2022-03-02T14:00:48.000Z

e2xgrader/preprocessors/overwritecells.py

divindevaiah/e2xgrader

19eb4662e4eee5ddef673097517e4bd4fb469e62

[ "MIT" ]

70

2020-10-23T16:42:01.000Z

2022-03-14T16:33:54.000Z

e2xgrader/preprocessors/overwritecells.py

divindevaiah/e2xgrader

19eb4662e4eee5ddef673097517e4bd4fb469e62

[ "MIT" ]

10

2020-11-22T16:36:16.000Z

2022-03-02T15:51:24.000Z

import json from nbformat.notebooknode import NotebookNode from nbconvert.exporters.exporter import ResourcesDict from typing import Tuple from nbgrader.api import MissingEntry from nbgrader.preprocessors import OverwriteCells as NbgraderOverwriteCells from ..utils.extra_cells import is_singlechoice, is_multiplechoi...

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null

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0

f42ea50cd75ed3588bee01251935be095b9cd852

9,261

py

Python

tools/pdf2txt.py

ehtec/pdfminer.six

5b1823f25ab998e904fc5d81687732580f23e3b9

[ "MIT" ]

null

tools/pdf2txt.py

ehtec/pdfminer.six

5b1823f25ab998e904fc5d81687732580f23e3b9

[ "MIT" ]

1

2022-01-31T22:58:07.000Z

tools/pdf2txt.py

phantomcyber/pdfminer.six

e35a9319a6ae5d310f08f07a5edf16aadc529c1e

[ "MIT" ]

null

#!/usr/bin/env python3 """A command line tool for extracting text and images from PDF and output it to plain text, html, xml or tags.""" import argparse import logging import sys from typing import Any, Container, Iterable, List, Optional import pdfminer.high_level from pdfminer.layout import LAParams from pdfminer.ut...

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null

0

null

0

1

0

f42eca67de3f090707cbdfd6324c3cd84ee5458f

2,757

py

Python

nython/nythonize.py

agungnasik57/nython

cf499fe20f86e2685671495bd941b411fa066813

[ "MIT" ]

53

2020-02-11T15:10:23.000Z

2021-10-05T12:47:14.000Z

nython/nythonize.py

agungnasik57/nython

cf499fe20f86e2685671495bd941b411fa066813

[ "MIT" ]

null

nython/nythonize.py

agungnasik57/nython

cf499fe20f86e2685671495bd941b411fa066813

[ "MIT" ]

4

2020-02-12T07:03:06.000Z

2020-08-15T14:53:39.000Z

"""Compile Nim libraries as Python Extension Modules. If you want your namespace to coexist with your pthon code, name this ponim.nim and then your import will look like `from ponim.nim import adder` and `from ponim import subtractor`. There must be a way to smooth that out in the __init__.py file somehow. Note that ...

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0.175439

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null

0

null

0

1

0

f42fc38f6dae49e6659d55730c3133cb884a1c0e

3,591

py

Python

tests/contrib/test_util.py

lixinso/pyro

ca0d6417bed3882a47cb8cbb01b36f403ee903d5

[ "MIT" ]

10

2020-03-18T14:41:25.000Z

2021-07-04T08:49:57.000Z

tests/contrib/test_util.py

lixinso/pyro

ca0d6417bed3882a47cb8cbb01b36f403ee903d5

[ "MIT" ]

19

2018-10-30T13:45:31.000Z

2019-09-27T14:16:57.000Z

tests/contrib/test_util.py

lixinso/pyro

ca0d6417bed3882a47cb8cbb01b36f403ee903d5

[ "MIT" ]

5

2020-06-21T23:40:35.000Z

2021-11-09T16:18:42.000Z

from collections import OrderedDict import pytest import torch import pyro.distributions as dist from pyro.contrib.util import ( get_indices, tensor_to_dict, rmv, rvv, lexpand, rexpand, rdiag, rtril, hessian ) from tests.common import assert_equal def test_get_indices_sizes(): sizes = OrderedDict([("a", 2), ...

34.528846

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0.23728

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null

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1

0

f4313551859e5b967cf0a91de7f015a788b3e06f

20,473

py

Python

Diffnet++/class/DataModule.py

mIXs222/diffnet

1f580332254a5113ed7b88b9b2e0aa467344e94d

[ "MIT" ]

null

Diffnet++/class/DataModule.py

mIXs222/diffnet

1f580332254a5113ed7b88b9b2e0aa467344e94d

[ "MIT" ]

null

Diffnet++/class/DataModule.py

mIXs222/diffnet

1f580332254a5113ed7b88b9b2e0aa467344e94d

[ "MIT" ]

null

from __future__ import division from collections import defaultdict import numpy as np from time import time import random import tensorflow.compat.v1 as tf tf.disable_v2_behavior() # import tensorflow as tf class DataModule(): def __init__(self, conf, filename): self.conf = conf self.data_dict = ...

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null

0

null

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1

0

f4315741709ca1828a0cd87b2111a7735ecd6a23

2,656

py

Python

src/models/VanillaTransformer.py

iosurodri/annotated-transformer

e5a7e27067d08c09f51b57bbf2824fbcd80ae4d9

[ "MIT" ]

null

src/models/VanillaTransformer.py

iosurodri/annotated-transformer

e5a7e27067d08c09f51b57bbf2824fbcd80ae4d9

[ "MIT" ]

null

src/models/VanillaTransformer.py

iosurodri/annotated-transformer

e5a7e27067d08c09f51b57bbf2824fbcd80ae4d9

[ "MIT" ]

null

from xmlrpc.server import MultiPathXMLRPCServer import torch.nn as nn import torch.nn.functional as F import copy from src.layers.layers import Encoder, EncoderLayer, Decoder, DecoderLayer, PositionwiseFeedForward from src.layers.preprocessing import Embeddings, PositionalEncoding from src.layers.attention import Mult...

35.413333

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0.022831

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0.009542

0.210843

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0.019231

0

null

0

null

0

1

0

f43380760e72e46d79cbcf3d20f37e8eb8257947

3,215

py

Python

hermetrics/damerau_levenshtein.py

SoldAI/hermetrics

5e07a4f40376779015ef2f5b964d7ac060ed6e25

[ "MIT" ]

3

2020-01-18T02:37:49.000Z

2022-01-27T19:24:15.000Z

hermetrics/damerau_levenshtein.py

SoldAI/hermetrics

5e07a4f40376779015ef2f5b964d7ac060ed6e25

[ "MIT" ]

null

hermetrics/damerau_levenshtein.py

SoldAI/hermetrics

5e07a4f40376779015ef2f5b964d7ac060ed6e25

[ "MIT" ]

2

2020-01-26T20:40:19.000Z

2021-08-11T12:05:01.000Z

from .levenshtein import Levenshtein class DamerauLevenshtein(Levenshtein): def __init__(self, name='Damerau-Levenshtein'): super().__init__(name=name) def distance(self, source, target, cost=(1, 1, 1, 1)): """Damerau-Levenshtein distance with costs for deletion, insertion, substitution a...

40.696203

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0.046183

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0.168056

0.127004

0

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0.389425

3,215

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119

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0

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0.02381

0

null

0

null

0

1

0

f434676fc528e9c88694b6e2adf610fc78d5e377

13,130

py

Python

etna/analysis/outliers/hist_outliers.py

Carlosbogo/etna

b6210f0e79ee92aa9ae8ff4fcfb267be9fb7cc94

[ "Apache-2.0" ]

1

2021-11-11T21:18:42.000Z

etna/analysis/outliers/hist_outliers.py

Carlosbogo/etna

b6210f0e79ee92aa9ae8ff4fcfb267be9fb7cc94

[ "Apache-2.0" ]

null

etna/analysis/outliers/hist_outliers.py

Carlosbogo/etna

b6210f0e79ee92aa9ae8ff4fcfb267be9fb7cc94

[ "Apache-2.0" ]

null

import typing from copy import deepcopy from typing import TYPE_CHECKING from typing import List import numba import numpy as np import pandas as pd if TYPE_CHECKING: from etna.datasets import TSDataset @numba.jit(nopython=True) def optimal_sse(left: int, right: int, p: np.ndarray, pp: np.ndarray) -> float: ...

39.667674

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0.591394

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0.089498

0.102052

0.593413

0.49973

0.423731

0.364606

0.31844

0.225027

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13,130

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0

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0

1

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false

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0.11413

0

null

0

null

0

1

0

f43505730d577b131a0ebe06e14640a6a2175f31

2,094

py

Python

aws/securityGroup.py

emanueleleyland/sabd-project2

387b33443b87e78635d8d6c9a03faadbc90ae9da

[ "BSD-2-Clause" ]

null

aws/securityGroup.py

emanueleleyland/sabd-project2

387b33443b87e78635d8d6c9a03faadbc90ae9da

[ "BSD-2-Clause" ]

null

aws/securityGroup.py

emanueleleyland/sabd-project2

387b33443b87e78635d8d6c9a03faadbc90ae9da

[ "BSD-2-Clause" ]

null

def createKafkaSecurityGroup(ec2, vpc): sec_group_kafka = ec2.create_security_group( GroupName='kafka', Description='kafka sec group', VpcId=vpc.id) sec_group_kafka.authorize_ingress( IpPermissions=[{'IpProtocol': 'icmp', 'FromPort': -1, 'ToPort': -1, 'IpRanges': [{'CidrIp': '0.0.0.0/0'}]}, ...

53.692308

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4.736842

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0.075214

0.084615

0.075214

0.65812

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0

0.07199

0.210602

2,094

39

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0.635814

0

0.1875

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0

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0.09375

false

0

0.1875

0.09375

0

null

0

null

0

1

0

f43612b155ef29350dd3f083a77ca91ae4d8fa46

7,537

py

Python

inconnu/character/update/parse.py

tiltowait/inconnu

6cca5fed520899d159537701b695c94222d8dc45

[ "MIT" ]

4

2021-09-06T20:18:13.000Z

2022-02-05T17:08:44.000Z

inconnu/character/update/parse.py

tiltowait/inconnu

6cca5fed520899d159537701b695c94222d8dc45

[ "MIT" ]

7

2021-09-13T00:46:57.000Z

2022-01-11T06:38:50.000Z

inconnu/character/update/parse.py

tiltowait/inconnu

6cca5fed520899d159537701b695c94222d8dc45

[ "MIT" ]

2

2021-11-27T22:24:53.000Z

2022-03-16T21:05:00.000Z

"""character/update/parse.py - Defines an interface for updating character traits.""" # pylint: disable=too-many-arguments import re import discord from discord_ui.components import LinkButton from . import paramupdate from ..display import display from ... import common, constants from ...log import Log from ...vch...

34.573394

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7,537

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0

0.101351

0

null

0

null

0

1

0

f43697d11efae6dda37ec02c7a022ad4d3dc4330

11,009

py

Python

formation.py

graham-kim/pygremlin-graph-visualiser

65cb4d4fb71c8dde46ff1a36a40adcbdf233448c

[ "MIT" ]

null

formation.py

graham-kim/pygremlin-graph-visualiser

65cb4d4fb71c8dde46ff1a36a40adcbdf233448c

[ "MIT" ]

39

2020-07-25T10:58:19.000Z

2020-08-28T15:02:12.000Z

formation.py

graham-kim/pygremlin-graph-visualiser

65cb4d4fb71c8dde46ff1a36a40adcbdf233448c

[ "MIT" ]

null

import sys import os sys.path.append( os.path.dirname(__file__) ) import numpy as np import typing as tp import angles from model import Node, Link, Label from spec import ArrowDraw, NodeSpec class FormationManager: def __init__(self): self._nodes = {} self._links = [] self._labels = [] ...

42.670543

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0.573757

0.517781

0.482549

0.424432

0.401712

0.387224

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0.011257

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42.836576

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false

0

0.034653

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0.217822

0

null

0

null

0

1

0

f439222f5a9cee3a82981ad6666b33d56810e907

3,571

py

Python

Code_Hybrid_SLIMBPR_CBF_RP3Beta.py

SamanFekri/BookRecommendation

07dfa875154af39546cb263d4407339ce26d47e8

[ "MIT" ]

null

Code_Hybrid_SLIMBPR_CBF_RP3Beta.py

SamanFekri/BookRecommendation

07dfa875154af39546cb263d4407339ce26d47e8

[ "MIT" ]

null

Code_Hybrid_SLIMBPR_CBF_RP3Beta.py

SamanFekri/BookRecommendation

07dfa875154af39546cb263d4407339ce26d47e8

[ "MIT" ]

null

# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g...

31.324561

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0.758891

543

3,571

4.74954

0.309392

0.019

0.017449

0.021714

0.138813

0.124855

0.093059

0.072896

0.034897

0

0.013659

0.118454

3,571

113

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31.60177

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0.133296

0

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1

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false

0

0.125

0

0.125

0

null

0

null

0

1

0

f43a93adbb44a173a83f3be2da8ae94b9ee5a0d3

989

py

Python

dodge/config.py

MoyTW/7DRL2016_Rewrite

99e092dcb8797a25caa3c8a989a574efae19e4d4

[ "MIT" ]

2

2020-05-10T02:16:28.000Z

2021-04-05T21:54:10.000Z

dodge/config.py

MoyTW/7DRL2016_Rewrite

99e092dcb8797a25caa3c8a989a574efae19e4d4

[ "MIT" ]

null

dodge/config.py

MoyTW/7DRL2016_Rewrite

99e092dcb8797a25caa3c8a989a574efae19e4d4

[ "MIT" ]

null

import json class Config(object): def __init__(self, file_location): with open(file_location, 'r') as f: config = json.load(f) self.SCREEN_WIDTH = int(config["SCREEN_WIDTH"]) self.SCREEN_HEIGHT = int(config["SCREEN_HEIGHT"]) self.MAP_WIDTH = int(config["MAP_...

41.208333

66

0.605662

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989

4.569106

0.300813

0.160142

0.099644

0.074733

0

0.273003

989

23

67

43

0.781641

0.026289

0

0.146875

0

1

0.055556

false

0

0.055556

0

0.166667

0

null

0

null

0

1

0

f43be3dcb74991918120ac726f26bac6d8cff63f

524

py

Python

incal_lib/create_dataframe.py

barel-mishal/InCal_lib

3aa63ebccf2ed3277fac55049c88178541cbb94b

[ "MIT" ]

null

incal_lib/create_dataframe.py

barel-mishal/InCal_lib

3aa63ebccf2ed3277fac55049c88178541cbb94b

[ "MIT" ]

null

incal_lib/create_dataframe.py

barel-mishal/InCal_lib

3aa63ebccf2ed3277fac55049c88178541cbb94b

[ "MIT" ]

null

import pandas as pd import numpy as np def create_calr_example_df(n_rows, start_date): ''' ''' np.random.seed(20) array = np.random.rand(n_rows) cumulative = np.cumsum(array) d = { 'feature1_subject_1': array, 'feature1_subject_2': array, 'feature2_subject_1': cumulati...

24.952381

55

0.622137

71

524

4.323944

0.549296

0.04886

0

0.030928

0.259542

524

20

56

26.2

0.760309

0

0.167969

0

1

0.066667

false

0

0.133333

0

0.266667

0

null

0

null

0

1

0

f43cde7e64305b95ccb8abd4674e469455ce57e1

4,663

py

Python

HybridSN/DataLoadAndOperate.py

lms-07/HybridSN

7580d67a5879d5b53ced75a653d4f198a8aefde2

[ "MIT" ]

null

HybridSN/DataLoadAndOperate.py

lms-07/HybridSN

7580d67a5879d5b53ced75a653d4f198a8aefde2

[ "MIT" ]

null

HybridSN/DataLoadAndOperate.py

lms-07/HybridSN

7580d67a5879d5b53ced75a653d4f198a8aefde2

[ "MIT" ]

null

import os import numpy as np import scipy.io as sio import tifffile from sklearn.decomposition import PCA from sklearn.model_selection import train_test_split #Load dataset def loadData(name,data_path): if name == 'IP': data = sio.loadmat(os.path.join(data_path, 'Indian_pines_corrected.mat'))['indian_pin...

43.579439

123

0.671885

633

4,663

4.810427

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0.055172

0.068966

0.082759

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0.298194

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0.233169

0.102463

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0

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4,663

107

124

43.579439

0.77394

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0.028169

0

0.137525

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1

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0

0.084507

0

0.267606

0.014085

0

null

0

null

0

1

0

f43e3816708a9a04921f14baa15850bfa0137251

1,873

py

Python

alipay/aop/api/domain/AlipayOpenIotmbsDooropenresultSyncModel.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

alipay/aop/api/domain/AlipayOpenIotmbsDooropenresultSyncModel.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

alipay/aop/api/domain/AlipayOpenIotmbsDooropenresultSyncModel.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class AlipayOpenIotmbsDooropenresultSyncModel(object): def __init__(self): self._dev_id = None self._door_state = None self._project_id = None @property def dev_id(self...

26.380282

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1,873

4.289916

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0.073457

0.061704

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0

0.000781

0.31607

1,873

70

72

26.757143

0.796253

0.022424

0

0.109091

0

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0

1

0.163636

false

0

0.036364

0.054545

0.327273

0

null

0

null

0

1

0

f43f0adac87483d74d65bc876a1b45c40eb3778c

958

py

Python

setup.py

ghost58400/marlin-binary-protocol

fb93603866ecfce84e887c159bbbb9f9d2f01f17

[ "MIT" ]

null

setup.py

ghost58400/marlin-binary-protocol

fb93603866ecfce84e887c159bbbb9f9d2f01f17

[ "MIT" ]

null

setup.py

ghost58400/marlin-binary-protocol

fb93603866ecfce84e887c159bbbb9f9d2f01f17

[ "MIT" ]

null

import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="marlin_binary_protocol", version="0.0.7", author="Charles Willis", author_email="charleswillis3@users.noreply.github.com", description="Transfer files with Marlin 2.0 firmware using Marlin...

38.32

114

0.662839

119

958

5.210084

0.579832

0.096774

0

0.037688

0.169102

958

24

115

39.916667

0.741206

0

0.045455

0.535491

0.092902

0

1

0

false

0

0.045455

0

0.045455

0

null

0

null

0

1

0

f44057beff2cbba250db617a96a21c14300e3ae1

18,028

py

Python

taut_euler_class.py

henryseg/Veering

50ebdcd5bde582726aefdd564c43e17890651282

[ "CC0-1.0" ]

2

2020-08-17T21:38:16.000Z

2021-08-29T21:38:43.000Z

taut_euler_class.py

henryseg/Veering

50ebdcd5bde582726aefdd564c43e17890651282

[ "CC0-1.0" ]

null

taut_euler_class.py

henryseg/Veering

50ebdcd5bde582726aefdd564c43e17890651282

[ "CC0-1.0" ]

null

# # taut_euler_class.py # from file_io import parse_data_file, write_data_file from taut import liberal, isosig_to_tri_angle from transverse_taut import is_transverse_taut from sage.matrix.constructor import Matrix from sage.modules.free_module_element import vector from sage.arith.misc import gcd from sage.arith.fu...

35.279843

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0.625194

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18,028

3.859729

0.194222

0.005681

0.008206

0.006944

0.147534

0.103165

0.069438

0.058797

0.054468

0.050501

0

0.012892

0.27718

18,028

510

110

35.34902

0.838078

0.684713

0

0.258929

0

0.022256

0.004338

0

0.026786

1

0.053571

false

0.008929

0.0625

0.008929

0.178571

0.026786

0

null

0

null

0

1

0

f442619ffa1142c65bd44ce29ca3a9c6c0e0aea7

5,153

py

Python

preprocess/utils/liftOver_vcf.py

Rongtingting/xcltk

2e86207c45a1caa7f905a89e1c121c3c203eab2d

[ "Apache-2.0" ]

null

preprocess/utils/liftOver_vcf.py

Rongtingting/xcltk

2e86207c45a1caa7f905a89e1c121c3c203eab2d

[ "Apache-2.0" ]

null

preprocess/utils/liftOver_vcf.py

Rongtingting/xcltk

2e86207c45a1caa7f905a89e1c121c3c203eab2d

[ "Apache-2.0" ]

2

2021-01-26T02:07:32.000Z

2021-02-03T03:56:55.000Z

# forked from https://github.com/single-cell-genetics/cellSNP ## A python wrap of UCSC liftOver function for vcf file ## UCSC liftOver binary and hg19 to hg38 chain file: ## https://genome.ucsc.edu/cgi-bin/hgLiftOver ## http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/liftOver ## http://hgdownload.soe.ucsc.edu/gol...

33.901316

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0.581603

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5,153

4.05698

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0.036868

0.015449

0.016854

0.305126

0.298455

0.254565

0.194874

0.153441

0

0.013856

0.271686

5,153

151

84

34.125828

0.745004

0.09509

0

0.285714

0

0.135991

0.0125

0

1

0.02521

false

0

0.05042

0

0.10084

0.058824

0

null

0

null

0

1

0

f444f9703d175494884baaba0472ab27a4d9a8a1

75,692

py

Python

sapmon/payload/provider/sapnetweaver.py

gummadirajesh/AzureMonitorForSAPSolutions

9f8e9dbd38141b5de4782d40556c4368f6ad8d0b

[ "MIT" ]

null

sapmon/payload/provider/sapnetweaver.py

gummadirajesh/AzureMonitorForSAPSolutions

9f8e9dbd38141b5de4782d40556c4368f6ad8d0b

[ "MIT" ]

null

sapmon/payload/provider/sapnetweaver.py

gummadirajesh/AzureMonitorForSAPSolutions

9f8e9dbd38141b5de4782d40556c4368f6ad8d0b

[ "MIT" ]

null

# Python modules import json import logging from datetime import datetime, timedelta, timezone from time import time from typing import Any, Callable import re import requests from requests import Session from threading import Lock # SOAP Client modules from zeep import Client from zeep import helpers from zeep.transp...

51.702186

175

0.624716

7,994

75,692

5.884538

0.113585

0.024659

0.022321

0.023915

0.472885

0.437597

0.409473

0.377734

0.359367

0.337961

0

0.001804

0.304458

75,692

1,463

176

51.737526

0.891713

0.182675

0

0.383051

0

0.00678

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0.003127

0

0.001367

0

1

0.051977

false

0.022599

0.024859

0.00904

0.159322

0

null

0

null

0

1

0

f4480752faba119871fef4e77c8c713728e07b1e

3,294

py

Python

example_usage/example_list_errors.py

oceanprotocol/plecos

ae532df8539e5c327cca57fbc1ea1b1193916cd1

[ "Apache-2.0" ]

1

2019-03-15T14:43:38.000Z

example_usage/example_list_errors.py

oceanprotocol/plecos

ae532df8539e5c327cca57fbc1ea1b1193916cd1

[ "Apache-2.0" ]

26

2019-06-04T08:49:42.000Z

2022-02-07T02:06:42.000Z

example_usage/example_list_errors.py

oceanprotocol/Plecos

25b9a3f1698ab2c65ca82ac69ecd1f461c55a581

[ "Apache-2.0" ]

1

2019-03-12T18:31:55.000Z

from pathlib import Path import plecos import json print(plecos.__version__) #%% path_to_json_local = Path("~/ocn/plecos/plecos/samples/sample_metadata_local.json").expanduser() path_to_json_remote = Path("~/ocn/plecos/plecos/samples/sample_metadata_remote.json").expanduser() path_to_broken_json = Path("~/ocn/plecos/pl...

26.564516

120

0.649059

423

3,294

4.79669

0.260047

0.038443

0.047314

0.056185

0.573682

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0.414983

0.322326

0

0.017081

0.182453

3,294

124

121

26.564516

0.736354

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0

0.206522

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0.1078

0

1

0

false

0

0.032609

0

0.032609

0.097826

0

null

0

null

0

1

0

f448729d42d0a606df0321be7509a9b2530f28d6

2,180

py

Python

pangloss/backend.py

CLRafaelR/pangloss

920c509381a8d7831471fc3f22a07e58b53b8c0e

[ "MIT" ]

null

pangloss/backend.py

CLRafaelR/pangloss

920c509381a8d7831471fc3f22a07e58b53b8c0e

[ "MIT" ]

1

2020-06-11T21:08:30.000Z

2020-09-20T03:36:06.000Z

pangloss/backend.py

CLRafaelR/pangloss

920c509381a8d7831471fc3f22a07e58b53b8c0e

[ "MIT" ]

1

2021-03-11T21:11:34.000Z

import re import panflute as pf from functools import partial from pangloss.util import smallcapify, break_plain # regular expression for label formats label_re = re.compile(r'\{#ex:(\w+)\}') gb4e_fmt_labelled = """ \\ex\\label{{ex:{label}}} \\gll {} \\\\ {} \\\\ \\trans {} """ gb4e_fmt = """ \\ex \\gll {} \\\\ {}...

23.44086

78

0.601835

281

2,180

4.608541

0.41637

0.034749

0.054054

0.046332

0.271815

0.23166

0.176062

0

0.008679

0.260092

2,180

92

79

23.695652

0.794172

0.27156

0

0.357143

0

0.145669

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1

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0

0.071429

0

0.142857

0

null

0

null

0

1

0

f44ab2c0f0cd8c386e07e21d67f94743e0fb707b

3,966

py

Python

minecraft_launcher_lib/fabric.py

bopchik/Simple-minecraft-mod-launcher

52e4e8ec351b0bac7eb4fe707f21de8da14b9ac9

[ "BSD-2-Clause" ]

1

2021-06-17T18:19:41.000Z

minecraft_launcher_lib/fabric.py

bopchik/Simple-minecraft-mod-launcher

52e4e8ec351b0bac7eb4fe707f21de8da14b9ac9

[ "BSD-2-Clause" ]

null

minecraft_launcher_lib/fabric.py

bopchik/Simple-minecraft-mod-launcher

52e4e8ec351b0bac7eb4fe707f21de8da14b9ac9

[ "BSD-2-Clause" ]

3

2021-06-17T18:19:44.000Z

2021-06-17T22:18:34.000Z

from .helper import download_file, get_user_agent from .install import install_minecraft_version from typing import List, Dict, Union from xml.dom import minidom import subprocess import requests import tempfile import random import os def get_all_minecraft_versions() -> List[Dict[str,Union[str,bool]]]: """ Re...

39.66

152

0.739536

504

3,966

5.579365

0.236111

0.085349

0.01707

0.032717

0.29623

0.243599

0.184566

0.121622

0.034851

0

0.004189

0.157337

3,966

99

153

40.060606

0.837223

0.199697

0

0.090909

0

0.036364

0.166007

0.033003

0

1

0.163636

false

0

0.163636

0

0.490909

0

null

0

null

0

1

0

f44b19520f8c0f088d9bcd431d1e1bf360a73146

2,354

py

Python

Strand Sort.py

Nishkarsh-Tripathi/Sorting-algorithms-

cda25f1a8e7fb5e25e59e69e78f000421b0e4eb0

[ "Apache-2.0" ]

5

2020-03-29T16:26:18.000Z

2020-11-23T15:37:23.000Z

Strand Sort.py

Nishkarsh-Tripathi/Sorting-algorithms

cda25f1a8e7fb5e25e59e69e78f000421b0e4eb0

[ "Apache-2.0" ]

null

Strand Sort.py

Nishkarsh-Tripathi/Sorting-algorithms

cda25f1a8e7fb5e25e59e69e78f000421b0e4eb0

[ "Apache-2.0" ]

null

# STRAND SORT # It is a recursive comparison based sorting technique which sorts in increasing order. # It works by repeatedly pulling sorted sub-lists out of the list to be sorted and merging them # with a result array. # Algorithm: # Create a empty strand (list) and append the first element to it popping it from th...

26.449438

101

0.657179

363

2,354

4.239669

0.341598

0.045484

0.025341

0.02729

0.059779

0

0.015808

0.274427

2,354

88

102

26.75

0.885246

0.64486

0

0.076923

0

1

0.115385

false

0

0.230769

0.038462

0

null

0

null

0

1

0

f44cdd7cc2616d5398119b8bf5c750adca9d4192

10,915

py

Python

gamestonk_terminal/cryptocurrency/overview/pycoingecko_model.py

minhhoang1023/GamestonkTerminal

195dc19b491052df080178c0cc6a9d535a91a704

[ "MIT" ]

null

gamestonk_terminal/cryptocurrency/overview/pycoingecko_model.py

minhhoang1023/GamestonkTerminal

195dc19b491052df080178c0cc6a9d535a91a704

[ "MIT" ]

null

gamestonk_terminal/cryptocurrency/overview/pycoingecko_model.py

minhhoang1023/GamestonkTerminal

195dc19b491052df080178c0cc6a9d535a91a704

[ "MIT" ]

null

"""CoinGecko model""" __docformat__ = "numpy" # pylint: disable=C0301, E1101 import logging import re from typing import Any, List import numpy as np import pandas as pd from pycoingecko import CoinGeckoAPI from gamestonk_terminal.cryptocurrency.dataframe_helpers import ( create_df_index, long_number_format...

25.034404

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0.624462

1,293

10,915

5.027842

0.188708

0.033226

0.023689

0.027996

0.522074

0.457776

0.393632

0.307953

0.228273

0.200892

0

0.00954

0.241319

10,915

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317

25.091954

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0.202657

0

0.362963

0

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0.216583

0.062515

0

0.004598

0

1

0.048148

false

0.003704

0.033333

0

0.133333

0

null

0

null

0

1

0

f44d14e6df3a58dd087e5855ff51ca5785dc0dff

20,399

py

Python

docker/messein/board-import-app/app.py

sourceperl/tk-dashboard

015ececc670902b02284749ac59f354db4304e48

[ "MIT" ]

null

docker/messein/board-import-app/app.py

sourceperl/tk-dashboard

015ececc670902b02284749ac59f354db4304e48

[ "MIT" ]

null

docker/messein/board-import-app/app.py

sourceperl/tk-dashboard

015ececc670902b02284749ac59f354db4304e48

[ "MIT" ]

null

#!/usr/bin/env python3 from configparser import ConfigParser from datetime import datetime import urllib.parse import hashlib import io import json import logging import os import re import time from xml.dom import minidom import feedparser import requests import schedule import PIL.Image import PIL.ImageDraw import P...

40.076621

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2,883

20,399

4.182102

0.172043

0.014929

0.016422

0.01551

0.424733

0.359045

0.306793

0.278427

0.2562

0.255122

0

0.018981

0.256189

20,399

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1

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0

0.125356

0

null

0

null

0

1

0

f44d3d2bcc982ad4f8edfb7eb180227db0f5fa05

19,687

py

Python

fsleyes_widgets/widgetlist.py

pauldmccarthy/fsleyes-widgets

cb27899a0f665efe3f1c6ca1f89349507e004378

[ "Apache-2.0" ]

1

2018-11-04T11:18:46.000Z

fsleyes_widgets/widgetlist.py

pauldmccarthy/fsleyes-widgets

cb27899a0f665efe3f1c6ca1f89349507e004378

[ "Apache-2.0" ]

2

2018-09-24T15:01:56.000Z

2020-01-20T10:39:37.000Z

fsleyes_widgets/widgetlist.py

pauldmccarthy/fsleyes-widgets

cb27899a0f665efe3f1c6ca1f89349507e004378

[ "Apache-2.0" ]

1

2017-12-09T09:02:07.000Z

#!/usr/bin/env python # # widgetlist.py - A widget which displays a list of groupable widgets. # # Author: Paul McCarthy <pauldmccarthy@gmail.com> # """This module provides the :class:`WidgetList` class, which displays a list of widgets. """ import wx import wx.lib.newevent as wxevent import wx.lib.scrolledpanel...

31.05205

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0.584701

2,105

19,687

5.349169

0.193824

0.015986

0.016874

0.010657

0.16119

0.105861

0.050977

0.007993

0

0.003105

0.329354

19,687

633

80

31.101106

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0.29268

0

0.243986

0

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1

0.103093

false

0

0.013746

0

0.164948

0

null

0

null

0

1

0

f44da748e4ab13e359126b052ffbda6e65cd72ff

1,441

py

Python

setup.py

TransactPRO/gw3-python-client

77a9395c13f75467385227461b57ce85f4730ce5

[ "MIT" ]

1

2018-03-13T00:10:05.000Z

setup.py

TransactPRO/gw3-python-client

77a9395c13f75467385227461b57ce85f4730ce5

[ "MIT" ]

1

2020-08-05T08:25:14.000Z

setup.py

TransactPRO/gw3-python-client

77a9395c13f75467385227461b57ce85f4730ce5

[ "MIT" ]

null

#!/usr/bin/env python import setuptools MAINTAINER_NAME = 'Transact Pro' MAINTAINER_EMAIL = 'support@transactpro.lv' URL_GIT = 'https://github.com/TransactPRO/gw3-python-client' try: import pypandoc LONG_DESCRIPTION = pypandoc.convert('README.md', 'rst') except (IOError, ImportError, OSError, RuntimeError):...

28.82

75

0.693963

153

1,441

6.437909

0.555556

0.076142

0.126904

0.105584

0

0.01598

0.174879

1,441

49

76

29.408163

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0.013879

0

0.492958

0.047183

0

1

0

false

0

0.073171

0

0.073171

0

null

0

null

0

1

0

f44db94e38c8e52a26896847a590eaee7cd80693

2,359

py

Python

social_auth_mitxpro/backends_test.py

mitodl/social-auth-mitxpro

8cae8bbe900b25f724b24f783d06de7b853a1366

[ "BSD-3-Clause" ]

null

social_auth_mitxpro/backends_test.py

mitodl/social-auth-mitxpro

8cae8bbe900b25f724b24f783d06de7b853a1366

[ "BSD-3-Clause" ]

37

2019-03-06T17:43:26.000Z

2022-03-21T05:18:10.000Z

social_auth_mitxpro/backends_test.py

mitodl/social-auth-mitxpro

8cae8bbe900b25f724b24f783d06de7b853a1366

[ "BSD-3-Clause" ]

null

"""Tests for our backend""" from urllib.parse import urljoin import pytest from social_auth_mitxpro.backends import MITxProOAuth2 # pylint: disable=redefined-outer-name @pytest.fixture def strategy(mocker): """Mock strategy""" return mocker.Mock() @pytest.fixture def backend(strategy): """MITxProOAu...

29.4875

86

0.680797

271

2,359

5.730627

0.321033

0.042498

0.048938

0.04443

0.265937

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0.094012

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0

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79

87

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0

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false

0

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0

0.270833

0

null

0

null

0

1

0

f450583ef2fc87d70603f2a691c77577371d8626

11,640

py

Python

classifier/interpretation_exp.py

methylgrammarlab/proj_scwgbs

287196898796eb617fef273bfaf9e978a57047dc

[ "MIT" ]

null

classifier/interpretation_exp.py

methylgrammarlab/proj_scwgbs

287196898796eb617fef273bfaf9e978a57047dc

[ "MIT" ]

null

classifier/interpretation_exp.py

methylgrammarlab/proj_scwgbs

287196898796eb617fef273bfaf9e978a57047dc

[ "MIT" ]

null

""" Code adapted from https://github.com/ohlerlab/DeepRiPe with changes Extract information and graphs from the Integrated gradients output """ import argparse import os import sys import matplotlib.pyplot as plt import numpy as np import seaborn as sns from classifier.plotseqlogo import seqlogo_fig from commons imp...

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f452f54dd600820476b6e9842531fd00913972e2

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py

Python

scripts/pythonutils/autorepr.py

shulinye/dotfiles

a342512c33ca102d03921cc653ee4605d0cf9617

[ "MIT" ]

2

2015-01-16T22:07:10.000Z

2015-11-09T06:45:44.000Z

scripts/pythonutils/autorepr.py

shulinye/dotfiles

a342512c33ca102d03921cc653ee4605d0cf9617

[ "MIT" ]

4

2015-07-08T19:13:47.000Z

2015-08-31T16:04:36.000Z

scripts/pythonutils/autorepr.py

shulinye/dotfiles

a342512c33ca102d03921cc653ee4605d0cf9617

[ "MIT" ]

null

#!/usr/bin/python3 from collections import OrderedDict from functools import partial from ordered_set import OrderedSet import inspect import itertools import types from .utils import walk_getattr __all__ = ['autoinit', 'autorepr', 'TotalCompareByKey'] def autoinit(obj=None, *args, params=None, **kwargs): """T...

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f4537a07a1d5765ef6c894d899d3fcdd3ed64dab

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py

Python

v1.0.0.test/toontown/estate/DistributedGardenPlotAI.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

4

2019-07-01T15:46:43.000Z

2021-07-23T16:26:48.000Z

v1.0.0.test/toontown/estate/DistributedGardenPlotAI.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

1

2019-06-29T03:40:05.000Z

2021-06-13T01:15:16.000Z

v1.0.0.test/toontown/estate/DistributedGardenPlotAI.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

4

2019-07-28T21:18:46.000Z

2021-02-25T06:37:25.000Z

from direct.directnotify import DirectNotifyGlobal from toontown.estate import GardenGlobals from toontown.estate.DistributedLawnDecorAI import DistributedLawnDecorAI FLOWER_X_OFFSETS = ( None, (0, ), (-1.5, 1.5), (-3.4, 0, 3.5)) class DistributedGardenPlotAI(DistributedLawnDecorAI): notify = DirectNotifyGlobal.d...

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0

f4547f32ba2dd53a8a0e71fc993cc07d7d1a58ed

2,384

py

Python

python/handwritten_baseline/pipeline/model/feature_extr/debug.py

UKPLab/cdcr-beyond-corpus-tailored

52bf98692c7464f25628baea24addd1a988f9a1f

[ "Apache-2.0" ]

10

2020-11-28T05:01:04.000Z

2021-12-21T19:34:00.000Z

python/handwritten_baseline/pipeline/model/feature_extr/debug.py

UKPLab/cdcr-beyond-corpus-tailored

52bf98692c7464f25628baea24addd1a988f9a1f

[ "Apache-2.0" ]

1

2022-03-12T07:20:39.000Z

2022-03-16T05:11:38.000Z

python/handwritten_baseline/pipeline/model/feature_extr/debug.py

UKPLab/cdcr-beyond-corpus-tailored

52bf98692c7464f25628baea24addd1a988f9a1f

[ "Apache-2.0" ]

1

2021-12-21T19:34:08.000Z

import pprint from typing import Optional, List, Tuple, Set, Dict import numpy as np from overrides import overrides from python.handwritten_baseline.pipeline.data.base import Dataset from python.handwritten_baseline.pipeline.model.feature_extr import DEBUG_EXTR from python.handwritten_baseline.pipeline.model.feature...

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f456221256fc52688ca188318ed96a52141502e3

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py

Python

venv/lib/python3.5/site-packages/igraph/test/atlas.py

dtklinh/Protein-Rigid-Domains-Estimation

a27152ef5437eb87ee31c317091356c4787f82a4

[ "MIT" ]

2

2021-03-04T16:57:06.000Z

2021-08-11T01:42:29.000Z

venv/lib/python3.5/site-packages/igraph/test/atlas.py

dtklinh/Protein-Rigid-Domains-Estimation

a27152ef5437eb87ee31c317091356c4787f82a4

[ "MIT" ]

null

venv/lib/python3.5/site-packages/igraph/test/atlas.py

dtklinh/Protein-Rigid-Domains-Estimation

a27152ef5437eb87ee31c317091356c4787f82a4

[ "MIT" ]

null

import warnings import unittest from igraph import * class TestBase(unittest.TestCase): def testPageRank(self): for idx, g in enumerate(self.__class__.graphs): try: pr = g.pagerank() except Exception as ex: self.assertTrue(False, msg="PageRank calcu...

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f4584cfc0d782e8ed0b2d30fb8fdd386a63762a3

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py

Python

artascope/src/web/app.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

3

2020-09-24T16:19:28.000Z

2022-02-09T21:10:11.000Z

artascope/src/web/app.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

null

artascope/src/web/app.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Created by magus0219[magus0219@gmail.com] on 2020/3/23 from types import FunctionType from flask import ( Flask, redirect, url_for, ) import artascope.src.web.lib.filter as module_filter from artascope.src.web.lib.content_processor import inject_version d...

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null

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null

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0

f4584d9b2545719be7d26d0474bfda0fc16fc902

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py

Python

tests/common/test_op/scatter_nd.py

KnowingNothing/akg-test

114d8626b824b9a31af50a482afc07ab7121862b

[ "Apache-2.0" ]

1

2020-08-31T02:43:43.000Z

tests/common/test_op/scatter_nd.py

KnowingNothing/akg-test

114d8626b824b9a31af50a482afc07ab7121862b

[ "Apache-2.0" ]

null

tests/common/test_op/scatter_nd.py

KnowingNothing/akg-test

114d8626b824b9a31af50a482afc07ab7121862b

[ "Apache-2.0" ]

null

# Copyright 2019 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...

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null

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f45c36a2a7c87d236af65ffb124e4f77205e7048

744

py

Python

recommender_engine/similarity_measure/__init__.py

tranlyvu/recommender

4985c355d54ee22ba48f4891077fd7e12bd21b47

[ "Apache-2.0" ]

8

2019-03-14T07:53:51.000Z

2021-06-22T06:19:32.000Z

recommender_engine/similarity_measure/__init__.py

tranlyvu/recommender-engine

4985c355d54ee22ba48f4891077fd7e12bd21b47

[ "Apache-2.0" ]

3

2018-01-16T06:48:55.000Z

2020-05-04T01:43:14.000Z

recommender_engine/similarity_measure/__init__.py

tranlyvu/recommender-engine

4985c355d54ee22ba48f4891077fd7e12bd21b47

[ "Apache-2.0" ]

1

2019-03-14T07:53:59.000Z

""" recommender_engine ----- recommender_engine is a recommendation application using either item-based or user-based approaches :copyright: (c) 2016 - 2019 by Tran Ly Vu. All Rights Reserved. :license: Apache License 2.0 """ from .cosine import cosine from .euclidean_distance import euclidean_distance from .p...

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null

0

null

0

1

0

f45dfb481b367182927b34141a1df143252d871f

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py

Python

test/examples/test_simple_gp_regression.py

ediphy-dwild/gpytorch

559c78a6446237ed7cc8e1cc7cf4ed8bf31a3c8a

[ "MIT" ]

null

test/examples/test_simple_gp_regression.py

ediphy-dwild/gpytorch

559c78a6446237ed7cc8e1cc7cf4ed8bf31a3c8a

[ "MIT" ]

null

test/examples/test_simple_gp_regression.py

ediphy-dwild/gpytorch

559c78a6446237ed7cc8e1cc7cf4ed8bf31a3c8a

[ "MIT" ]

null

import math import torch import unittest import gpytorch from torch import optim from torch.autograd import Variable from gpytorch.kernels import RBFKernel from gpytorch.means import ConstantMean from gpytorch.likelihoods import GaussianLikelihood from gpytorch.random_variables import GaussianRandomVariable # Simple ...

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null

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null

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1

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f460edaf40609072f5da235373227615b76ded70

804

py

Python

Algo and DSA/LeetCode-Solutions-master/Python/smallest-greater-multiple-made-of-two-digits.py

Sourav692/FAANG-Interview-Preparation

f523e5c94d582328b3edc449ea16ac6ab28cdc81

[ "Unlicense" ]

3,269

2018-10-12T01:29:40.000Z

2022-03-31T17:58:41.000Z

Algo and DSA/LeetCode-Solutions-master/Python/smallest-greater-multiple-made-of-two-digits.py

Sourav692/FAANG-Interview-Preparation

f523e5c94d582328b3edc449ea16ac6ab28cdc81

[ "Unlicense" ]

53

2018-12-16T22:54:20.000Z

2022-02-25T08:31:20.000Z

Algo and DSA/LeetCode-Solutions-master/Python/smallest-greater-multiple-made-of-two-digits.py

Sourav692/FAANG-Interview-Preparation

f523e5c94d582328b3edc449ea16ac6ab28cdc81

[ "Unlicense" ]

1,236

2018-10-12T02:51:40.000Z

2022-03-30T13:30:37.000Z

# Time: sum(O(l * 2^l) for l in range(1, 11)) = O(20 * 2^10) = O(1) # Space: O(1) class Solution(object): def findInteger(self, k, digit1, digit2): """ :type k: int :type digit1: int :type digit2: int :rtype: int """ MAX_NUM_OF_DIGITS = 10 INT_MAX = ...

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null

0

null

0

1

0

f4647df8f083e67396d2554f67110e5d8f963972

7,875

py

Python

aldryn_people/tests/test_plugins.py

compoundpartners/js-people

a3744c3880f6626e677034a693f337c927baf886

[ "BSD-3-Clause" ]

null

aldryn_people/tests/test_plugins.py

compoundpartners/js-people

a3744c3880f6626e677034a693f337c927baf886

[ "BSD-3-Clause" ]

1

2019-01-15T16:06:44.000Z

aldryn_people/tests/test_plugins.py

compoundpartners/js-people

a3744c3880f6626e677034a693f337c927baf886

[ "BSD-3-Clause" ]

1

2019-01-09T11:53:59.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals try: from django.core.urlresolvers import reverse except ImportError: # Django 2.0 from django.urls import reverse from django.utils.translation import force_text from cms import api from cms.utils.i18n import force_language from aldryn_peop...

38.985149

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0

0.190141

0

null

0

null

0

1

0

f4680fe37289f7c11ee4bd2ba12292268d591a53

1,960

py

Python

Exareme-Docker/src/exareme/exareme-tools/madis/src/lib/pyreadline/clipboard/__init__.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

Exareme-Docker/src/exareme/exareme-tools/madis/src/lib/pyreadline/clipboard/__init__.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

Exareme-Docker/src/exareme/exareme-tools/madis/src/lib/pyreadline/clipboard/__init__.py

tchamabe1979/exareme

462983e4feec7808e1fd447d02901502588a8879

[ "MIT" ]

null

import sys success = False in_ironpython = "IronPython" in sys.version if in_ironpython: try: from ironpython_clipboard import GetClipboardText, SetClipboardText success = True except ImportError: pass else: try: from win32_clipboard import GetClipboardText, SetClipboardTex...

24.810127

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0

null

0

null

0

1

0

f4689432e90e3326c569ffdf5beb1c42f606d0c9

17,634

py

Python

mjrl/utils/train_agent.py

YujieLu10/tslam

1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd

[ "Apache-2.0" ]

null

mjrl/utils/train_agent.py

YujieLu10/tslam

1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd

[ "Apache-2.0" ]

null

mjrl/utils/train_agent.py

YujieLu10/tslam

1341dbecdf02ee6b1b6cdd1a538272fffdea6ffd

[ "Apache-2.0" ]

null

import logging logging.disable(logging.CRITICAL) import math from tabulate import tabulate from mjrl.utils.make_train_plots import make_train_plots from mjrl.utils.gym_env import GymEnv from mjrl.samplers.core import sample_paths import numpy as np import torch import pickle import imageio import time as timer import o...

46.898936

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0.036789

0

null

0

null

0

1

0

f4691a885e026834c8813dea028eee2eea8dcb79

4,499

py

Python

src/tests/plugins/banktransfer/test_refund_export.py

NicsTr/pretix

e6d2380d9ed1836cc64a688b2be20d00a8500eab

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

null

src/tests/plugins/banktransfer/test_refund_export.py

NicsTr/pretix

e6d2380d9ed1836cc64a688b2be20d00a8500eab

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

null

src/tests/plugins/banktransfer/test_refund_export.py

NicsTr/pretix

e6d2380d9ed1836cc64a688b2be20d00a8500eab

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

null

import json from datetime import timedelta from decimal import Decimal import pytest from django.utils.timezone import now from pretix.base.models import Event, Order, OrderRefund, Organizer, Team, User from pretix.plugins.banktransfer.models import RefundExport from pretix.plugins.banktransfer.views import ( _ro...

33.080882

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0.608357

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0

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0.108333

0

null

0

null

0

1

0

f469fb9c0617beca4380191f4e87136c8e35c588

4,804

py

Python

NewLifeUtils/LoggerModule.py

NewLife1324/NewLifeUtils-Dev

d955ad801da879d2888506853b0d0141c15dfafc

[ "MIT" ]

2

2020-12-12T17:45:34.000Z

2020-12-16T15:00:05.000Z

NewLifeUtils/LoggerModule.py

NewLife1324/NewLifeUtils

d955ad801da879d2888506853b0d0141c15dfafc

[ "MIT" ]

null

NewLifeUtils/LoggerModule.py

NewLife1324/NewLifeUtils

d955ad801da879d2888506853b0d0141c15dfafc

[ "MIT" ]

null

from NewLifeUtils.ColorModule import ACC, MCC from NewLifeUtils.UtilsModule import hex_to_rgb from NewLifeUtils.FileModule import DataStorage, LogFile from NewLifeUtils.StringUtilModule import remove_csi from datetime import datetime import sys class Formatter(dict): def __init__(self, *args, date_format="%d-%m-%...

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0.020011

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0.241071

0

null

0

null

0

1

0

f46b0b539cef945ee6aa318ff4cb5a94326430db

6,290

py

Python

mealpy/evolutionary_based/MA.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

1

2021-08-07T16:30:48.000Z

mealpy/evolutionary_based/MA.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

null

mealpy/evolutionary_based/MA.py

Alhassan20/mealpy

7ed365c5c495ad1c1e066662c90159b3d5e9b8e3

[ "MIT" ]

null

#!/usr/bin/env python # ------------------------------------------------------------------------------------------------------% # Created by "Thieu Nguyen" at 14:22, 11/04/2020 % # ...

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null

0

null

0

1

0

f46c203558ba08eaf57d58a68abbbd1315976d22

16,106

py

Python

src/estimagic/estimation/estimate_ml.py

OpenSourceEconomics/estimagic

85163b4cdc601d60d654c6ca1f42b9db17a130a3

[ "MIT" ]

83

2019-09-26T04:44:03.000Z

2022-03-17T20:24:02.000Z

src/estimagic/estimation/estimate_ml.py

OpenSourceEconomics/estimagic

85163b4cdc601d60d654c6ca1f42b9db17a130a3

[ "MIT" ]

243

2019-06-25T18:15:53.000Z

2022-03-26T09:17:44.000Z

src/estimagic/estimation/estimate_ml.py

OpenSourceEconomics/estimagic

85163b4cdc601d60d654c6ca1f42b9db17a130a3

[ "MIT" ]

23

2019-07-03T11:16:55.000Z

2022-03-07T00:57:38.000Z

from estimagic.inference.ml_covs import cov_cluster_robust from estimagic.inference.ml_covs import cov_hessian from estimagic.inference.ml_covs import cov_jacobian from estimagic.inference.ml_covs import cov_robust from estimagic.inference.ml_covs import cov_strata_robust from estimagic.inference.shared import calculat...

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0.141034

0.08701

0.070466

0

0.001297

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0.111111

0

null

0

null

0

1

0

f46ca3af523c02675160a6c57c283a2d49c86f50

6,503

py

Python

neural_architecture_search_appendix_a.py

NunoEdgarGFlowHub/neural_architecture_search_with_reinforcement_learning_appendix_a

67e4876d428e5155f5526ee02875b0a89a52305d

[ "MIT" ]

68

2017-01-31T06:35:53.000Z

2021-02-24T09:39:55.000Z

neural_architecture_search_appendix_a.py

NunoEdgarGFlowHub/neural_architecture_search_with_reinforcement_learning_appendix_a

67e4876d428e5155f5526ee02875b0a89a52305d

[ "MIT" ]

3

2017-05-14T13:41:39.000Z

2020-04-21T04:23:50.000Z

neural_architecture_search_appendix_a.py

NunoEdgarGFlowHub/neural_architecture_search_with_reinforcement_learning_appendix_a

67e4876d428e5155f5526ee02875b0a89a52305d

[ "MIT" ]

15

2017-03-16T03:04:46.000Z

2018-07-05T15:07:39.000Z

import six import chainer import numpy as np import chainer.links as L import chainer.functions as F import nutszebra_chainer import functools from collections import defaultdict class Conv(nutszebra_chainer.Model): def __init__(self, in_channel, out_channel, filter_size=(3, 3), stride=(1, 1), pad=(1, 1)): ...

42.227273

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0.503158

0.438195

0.393083

0.377744

0.351579

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6,503

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1

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0

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0.048

0.328

0

null

0

null

0

1

0

f46df9cfbed7221c6dfc035138710969c22cfd18

1,992

py

Python

MachineLearning/hw1/models/LinearRegression.py

ChoKyuWon/SchoolProjects

71a5decefc85ae941ba2d537c4507ba8e615cc34

[ "MIT" ]

null

MachineLearning/hw1/models/LinearRegression.py

ChoKyuWon/SchoolProjects

71a5decefc85ae941ba2d537c4507ba8e615cc34

[ "MIT" ]

null

MachineLearning/hw1/models/LinearRegression.py

ChoKyuWon/SchoolProjects

71a5decefc85ae941ba2d537c4507ba8e615cc34

[ "MIT" ]

null

import numpy as np class LinearRegression: def __init__(self, num_features): self.num_features = num_features self.W = np.zeros((self.num_features, 1)) def train(self, x, y, epochs, batch_size, lr, optim): final_loss = None # loss of final epoch # Training should b...

33.2

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236

1,992

3.690678

0.334746

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0.086108

0.037887

0.091848

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0

0.006265

0.358936

1,992

59

90

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0.293675

0

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0

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0

0.25

0

null

0

null

0

1

0

f46e88c174121a507ecd5ff0eff0efa5c6c1e776

1,655

py

Python

apps/bc_scraper/actions/schedule.py

aurmeneta/ramos-uc

364ab3c5a55032ab7ffc08665a2da4c5ff04ae58

[ "MIT" ]

7

2021-07-14T18:13:35.000Z

2021-11-21T20:10:54.000Z

apps/bc_scraper/actions/schedule.py

aurmeneta/ramos-uc

364ab3c5a55032ab7ffc08665a2da4c5ff04ae58

[ "MIT" ]

57

2021-07-10T01:31:56.000Z

2022-01-14T02:02:58.000Z

apps/bc_scraper/actions/schedule.py

aurmeneta/ramos-uc

364ab3c5a55032ab7ffc08665a2da4c5ff04ae58

[ "MIT" ]

4

2021-07-23T16:51:55.000Z

2021-08-31T02:41:41.000Z

from copy import copy DEFAULT_SCHEDULE = {} for day in "lmwjvs": for mod in "12345678": DEFAULT_SCHEDULE[day + mod] = "'FREE'" def process_schedule(text_sc): """For a given schedule text in BC format, returns the SQL queries for inserting the full schedule and schedule info. Those queries have t...

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0.088235

0

null

0

null

0

1

0

f46f4f4b92656a15af396d51e27d17942b2af4aa

9,739

py

Python

openstack_dashboard/dashboards/admin/volumes/views.py

NunoEdgarGFlowHub/horizon

73a0bbd43ea78ac5337f7d00977ec5f32452067e

[ "Apache-2.0" ]

1

2018-04-17T02:32:05.000Z

openstack_dashboard/dashboards/admin/volumes/views.py

NunoEdgarGFlowHub/horizon

73a0bbd43ea78ac5337f7d00977ec5f32452067e

[ "Apache-2.0" ]

3

2021-01-21T14:27:55.000Z

2021-06-10T23:08:49.000Z

openstack_dashboard/dashboards/admin/volumes/views.py

Surfndez/horizon

a56765b6b3dbc09fd467b83a57bea2433ae3909e

[ "Apache-2.0" ]

null

# Copyright 2012 Nebula, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agree...

38.34252

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0.310023

0.284966

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0

0.07772

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0.466321

0

null

0

null

0

1

0

f471777a68cf3b70989f0f48f2b4ea4d759a30a8

5,382

py

Python

rasa-sample/actions.py

ijufumi/demo-python

b48bdebde172ca581a48346a77b12c30ff202e73

[ "MIT" ]

null

rasa-sample/actions.py

ijufumi/demo-python

b48bdebde172ca581a48346a77b12c30ff202e73

[ "MIT" ]

null

rasa-sample/actions.py

ijufumi/demo-python

b48bdebde172ca581a48346a77b12c30ff202e73

[ "MIT" ]

null

import re from typing import Any, Text, Dict, List from rasa_sdk import Action, Tracker from rasa_sdk.executor import CollectingDispatcher from rasa_sdk.events import SlotSet import lark_module class ActionHelloWorld(Action): state_map = {} def name(self) -> Text: return "action_hello_world" d...

35.642384

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5,382

5.306985

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0.072047

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0.537236

0.437825

0.421198

0

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0

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1

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false

0

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0.086207

0

null

0

null

0

1

0

f471a2c4554505f4474a4ceb98a24f55991c2cdc

1,557

py

Python

parsers/politico.py

plympton/newsdiffs

2a055850bda850b9b6c28c989512d4e4b3e9b64e

[ "MIT" ]

null

parsers/politico.py

plympton/newsdiffs

2a055850bda850b9b6c28c989512d4e4b3e9b64e

[ "MIT" ]

null

parsers/politico.py

plympton/newsdiffs

2a055850bda850b9b6c28c989512d4e4b3e9b64e

[ "MIT" ]

null

from baseparser import BaseParser, grab_url, logger # Different versions of BeautifulSoup have different properties. # Some work with one site, some with another. # This is BeautifulSoup 3.2. from BeautifulSoup import BeautifulSoup # This is BeautifulSoup 4 import bs4 class PoliticoParser(BaseParser): domains = ...

35.386364

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4.852041

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0

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0.247913

1,557

43

81

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0

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1

0.035714

false

0

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0

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0.071429

0

null

0

null

0

1

0

f472e924139d73818eedf6b97de856c2ca049e7a

6,535

py

Python

integration-tests/bats/server_multiclient_test.py

fairhopeweb/dolt

276b85b7b1287f883640ef3fcacb0bdb112749b2

[ "Apache-2.0" ]

2

2021-03-09T07:32:40.000Z

2021-06-11T21:41:30.000Z

integration-tests/bats/server_multiclient_test.py

albertusortiz/dolt

38fc4fcb0357a56eb97abdb25296f45571a5418f

[ "Apache-2.0" ]

null

integration-tests/bats/server_multiclient_test.py

albertusortiz/dolt

38fc4fcb0357a56eb97abdb25296f45571a5418f

[ "Apache-2.0" ]

1

2021-08-06T13:05:57.000Z

import os import sys from queue import Queue from threading import Thread from helper.pytest import DoltConnection # Utility functions def print_err(e): print(e, file=sys.stderr) def query(dc, query_str): return dc.query(query_str, False) def query_with_expected_error(dc, non_error_msg , query_str): ...

32.839196

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0.189138

0.150649

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0

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6,535

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33.005051

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0

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0

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1

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false

0.007194

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0.028777

0

null

0

null

0

1

0

f475a7baedbb00d2706f41a680754762b1e5e2d7

6,599

py

Python

oscar/lib/python2.7/site-packages/prompt_toolkit/utils.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

oscar/lib/python2.7/site-packages/prompt_toolkit/utils.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

oscar/lib/python2.7/site-packages/prompt_toolkit/utils.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

from __future__ import unicode_literals import inspect import os import signal import sys import threading import weakref from wcwidth import wcwidth from six.moves import range __all__ = ( 'Event', 'DummyContext', 'get_cwidth', 'suspend_to_background_supported', 'is_conemu_ansi'...

27.381743

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0

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6,599

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89

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0

0.359649

0

null

0

null

0

1

0

f476ce15c4cf3ddf393197690eec2e823de61189

92,209

py

Python

lmdb/cffi.py

hirnimeshrampuresoftware/py-lmdb

9aa7560f8e1a89b437fb3fed7ea36f5888b7a963

[ "OLDAP-2.8" ]

185

2019-06-18T15:58:49.000Z

2022-03-09T09:42:57.000Z

lmdb/cffi.py

hirnimeshrampuresoftware/py-lmdb

9aa7560f8e1a89b437fb3fed7ea36f5888b7a963

[ "OLDAP-2.8" ]

114

2019-06-15T04:19:04.000Z

2022-03-30T06:34:44.000Z

lmdb/cffi.py

hirnimeshrampuresoftware/py-lmdb

9aa7560f8e1a89b437fb3fed7ea36f5888b7a963

[ "OLDAP-2.8" ]

32

2019-07-03T23:56:58.000Z

2022-02-12T04:46:16.000Z

# # Copyright 2013 The py-lmdb authors, all rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted only as authorized by the OpenLDAP # Public License. # # A copy of this license is available in the file LICENSE in the # top-level directory of the distribut...

37.728723

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11,551

92,209

4.570513

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0.011138

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0.387525

0.349983

0.332386

0.307024

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0.265636

0

0.017764

0.305849

92,209

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106

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0

1

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false

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0.228895

0

null

0

null

0

1

0

f477633c1badf20c6b9aa7cdc1d086ce3dd6b193

6,425

py

Python

.virtual_documents/00_core.ipynb.py

AtomScott/image_folder_datasets

935580929abc9d8ec9eeaf944a0d3c670a09d04d

[ "Apache-2.0" ]

null

.virtual_documents/00_core.ipynb.py

AtomScott/image_folder_datasets

935580929abc9d8ec9eeaf944a0d3c670a09d04d

[ "Apache-2.0" ]

null

.virtual_documents/00_core.ipynb.py

AtomScott/image_folder_datasets

935580929abc9d8ec9eeaf944a0d3c670a09d04d

[ "Apache-2.0" ]

null

# default_exp core #hide from nbdev.showdoc import * from fastcore.test import * # export import os import torch from torch import nn from torch.nn import functional as F from torch.utils.data import DataLoader import warnings import torchvision from torchvision.datasets import MNIST, ImageFolder from torchvision...

32.286432

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5.048568

0.28269

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0.006167

0.00444

0.361618

0.344845

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0.260977

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0

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6,425

198

128

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0

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0

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0

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false

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0.314961

0

null

0

null

0

1

0

f477fec40612fa1a5fd9ffbd050a890ebec79d19

2,030

py

Python

test_scripts/pyfora2/containerTests.py

ufora/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

571

2015-11-05T20:07:07.000Z

2022-01-24T22:31:09.000Z

test_scripts/pyfora2/containerTests.py

timgates42/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

218

2015-11-05T20:37:55.000Z

2021-05-30T03:53:50.000Z

test_scripts/pyfora2/containerTests.py

timgates42/ufora

04db96ab049b8499d6d6526445f4f9857f1b6c7e

[ "Apache-2.0", "CC0-1.0", "MIT", "BSL-1.0", "BSD-3-Clause" ]

40

2015-11-07T21:42:19.000Z

2021-05-23T03:48:19.000Z

# Copyright 2015 Ufora Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...

33.833333

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2,030

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0

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0

0.428571

0

null

0

null

0

1

0

f4782d553047c0d6c83eb8c3ac341a236af78e5e

597

py

Python

src/utils/torch_common.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

src/utils/torch_common.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

src/utils/torch_common.py

quochungto/SIIM-COVID19-Detection

88bc10d7b01d277d223c4dddd4c223a782616611

[ "MIT" ]

null

import os import gc import random import numpy as np import torch def seed_everything(seed): os.environ['PYTHONHASHSEED'] = str(seed) random.seed(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.backends.cudnn.deterministic = True torch.backends.cudnn.be...

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27

60

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0.368421

0

null

0

null

0

1

0

f4793bd8d4530ee80fabe88563d6a3ddbecb48d2

6,713

py

Python

recipes/freeimage/all/conanfile.py

marsven/conan-center-index

d8bb4ad617cee02d8664e8341fa32cdf702e4284

[ "MIT" ]

null

recipes/freeimage/all/conanfile.py

marsven/conan-center-index

d8bb4ad617cee02d8664e8341fa32cdf702e4284

[ "MIT" ]

null

recipes/freeimage/all/conanfile.py

marsven/conan-center-index

d8bb4ad617cee02d8664e8341fa32cdf702e4284

[ "MIT" ]

null

from conans import ConanFile, CMake, tools import os import shutil required_conan_version = ">=1.43.0" class FreeImageConan(ConanFile): name = "freeimage" description = "Open Source library project for developers who would like to support popular graphics image formats"\ "like PNG, BMP, JPE...

40.439759

120

0.619097

791

6,713

5.078382

0.219975

0.093104

0.10829

0.076176

0.379885

0.188449

0.156585

0.147623

0.127209

0.048793

0

0.014162

0.242663

6,713

165

121

40.684848

0.775964

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0.216148

0.003575

0

1

0.081633

false

0

0.020408

0.013605

0.217687

0

null

0

null

0

1

0

f47944bb4b7b60683bb6b4d4d72854dfc4c98c2a

110,180

py

Python

src/google/appengine/datastore/datastore_query.py

myelin/appengine-python-standard

2a99acd114f7cdd66fbad9bfd185384eef847c84

[ "Apache-2.0" ]

null

src/google/appengine/datastore/datastore_query.py

myelin/appengine-python-standard

2a99acd114f7cdd66fbad9bfd185384eef847c84

[ "Apache-2.0" ]

null

src/google/appengine/datastore/datastore_query.py

myelin/appengine-python-standard

2a99acd114f7cdd66fbad9bfd185384eef847c84

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright 2007 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...

32.482311

81

0.690634

14,487

110,180

4.991648

0.064748

0.019291

0.033009

0.026385

0.433955

0.362184

0.289653

0.244033

0.222543

0.191222

0

0.003428

0.232274

110,180

3,391

82

32.49189

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0.001637

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0.000546

0.010366

0.027278

0.278232

0.000546

0

null

0

null

0

1

0

f47a1ea7f8990d7f8f0d9190441ddb6344e10412

1,785

py

Python

parsing/tests/test_utils.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

1

2020-11-14T13:06:42.000Z

parsing/tests/test_utils.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

null

parsing/tests/test_utils.py

davesque/parsing.py

ff8b20e53b94e79571971ef23f0e5091e2786566

[ "MIT" ]

null

from __future__ import unicode_literals import unittest from ..utils import compose, flatten, truncate, join, unary, equals class TestEquals(unittest.TestCase): def test_it_should_return_a_function_that_compares_against_x(self): self.assertTrue(equals(234)(234)) self.assertFalse(equals(234)(123)...

30.775862

87

0.652101

223

1,785

4.982063

0.336323

0.162016

0.10261

0.124212

0.225023

0.178218

0

0.038765

0.219608

1,785

57

88

31.315789

0.758794

0

0.04878

0

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false

0

0.073171

0

0.365854

0

null

0

null

0

1

0

f47b6c51761fb432f29fb2e6eb1f0ea2e885172e

1,807

py

Python

Array/Final450/Move_Negative_Nums_To_One_End/relative_order_matters/move_negative_nums_to_one_end--insertion_sort_modified.py

prash-kr-meena/GoogleR

27aca71e51cc2442e604e07ab00406a98d8d63a4

[ "Apache-2.0" ]

null

Array/Final450/Move_Negative_Nums_To_One_End/relative_order_matters/move_negative_nums_to_one_end--insertion_sort_modified.py

prash-kr-meena/GoogleR

27aca71e51cc2442e604e07ab00406a98d8d63a4

[ "Apache-2.0" ]

null

Array/Final450/Move_Negative_Nums_To_One_End/relative_order_matters/move_negative_nums_to_one_end--insertion_sort_modified.py

prash-kr-meena/GoogleR

27aca71e51cc2442e604e07ab00406a98d8d63a4

[ "Apache-2.0" ]

null

from Utils.Array import input_array # Time : O(n2) # Space : O(1) Constant space """ Ill be having 2 pointers here one of them will move through the array looking for -ve numbers to operate on and another will be pointing to the correct location where i can put the -ve elements, after i find them also this same...

34.09434

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0.646375

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1,807

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1,807

52

106

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0.839009

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0

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0.058824

0

null

0

null

0

1

0

f47c09e34304fe10a016d16f624d1fb84ab59f99

2,786

py

Python

python_test/test_epoll/test_epoll.py

zhtsh/test-examples

ed5a45bf8546a9bd7fc35e38f9679be385d0d9e6

[ "Apache-2.0" ]

null

python_test/test_epoll/test_epoll.py

zhtsh/test-examples

ed5a45bf8546a9bd7fc35e38f9679be385d0d9e6

[ "Apache-2.0" ]

null

python_test/test_epoll/test_epoll.py

zhtsh/test-examples

ed5a45bf8546a9bd7fc35e38f9679be385d0d9e6

[ "Apache-2.0" ]

null

# coding=utf8 import socket import select from datetime import datetime from datetime import timedelta EOL = b'\n\n' response = b'HTTP/1.0 200 OK\nDate: Mon, 1 Jan 1996 01:01:01 GMT\n' response += b'Content-Type: text/plain\nContent-Length: 13\n\n' response += b'Hello, world!\n' # 创建套接字对象并绑定监听端口 servers...

38.164384

79

0.561378

260

2,786

5.996154

0.4

0.076331

0.019243

0.014112

0.105837

0.071841

0

0.021253

0.34135

2,786

72

80

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0.828338

0.145011

0

0.240741

0

0.018519

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1

0

false

0

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0.055556

0

null

0

null

0

1

0

f47cd9858ae9886cfca8b27e46c09a635662d571

2,771

py

Python

20.2-Donut/Donut2.py

Kehvarl/AdventOfCode2019

f72cfeefdfbde365bc9a5b722d5875d556379cf2

[ "MIT" ]

1

2020-09-27T23:02:46.000Z

20.2-Donut/Donut2.py

Kehvarl/AdventOfCode2019

f72cfeefdfbde365bc9a5b722d5875d556379cf2

[ "MIT" ]

null

20.2-Donut/Donut2.py

Kehvarl/AdventOfCode2019

f72cfeefdfbde365bc9a5b722d5875d556379cf2

[ "MIT" ]

1

2019-12-09T17:10:48.000Z

import collections from pprint import pprint example1 = open("input.txt", "r").read() # grid = [[val for val in line] for line in example1.split("\n")] grid = example1.split("\n") length = 0 for line in grid: length = max(len(line), length) out = [] for line in grid: out.append(line[::-1].zfill(length)[::-1...

24.741071

93

0.498015

425

2,771

3.103529

0.223529

0.030326

0.018196

0.02047

0.052312

0.043215

0

0.021906

0.341032

2,771

111

94

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0.700438

0.067124

0

0.051282

0

0.010089

0

1

0.012821

false

0

0.025641

0

0.064103

0

null

0

null

0

1

0

f47e72619d39a8c165d31a3169ddc7283ecd466a

845

py

Python

OR_Client_Library/openrefine_client/tests/test_history.py

idaks/OpenRefine-Provenance-Tools

cc469c3eb8e56c8b0f4616cc501546db3c4176ea

[ "MIT" ]

null

OR_Client_Library/openrefine_client/tests/test_history.py

idaks/OpenRefine-Provenance-Tools

cc469c3eb8e56c8b0f4616cc501546db3c4176ea

[ "MIT" ]

null

OR_Client_Library/openrefine_client/tests/test_history.py

idaks/OpenRefine-Provenance-Tools

cc469c3eb8e56c8b0f4616cc501546db3c4176ea

[ "MIT" ]

null

#!/usr/bin/env python """ test_history.py """ # Copyright (c) 2011 Paul Makepeace, Real Programmers. All rights reserved. import unittest from OR_Client_Library.openrefine_client.google.refine.history import * class HistoryTest(unittest.TestCase): def test_init(self): response = { u"code": ...

26.40625

75

0.60355

95

845

5.231579

0.568421

0.090543

0.120724

0.088531

0.080483

0

0.095847

0.259172

845

31

76

27.258065

0.698083

0.130178

0

0.190083

0

0.157895

1

0.052632

false

0

0.105263

0

0.210526

0

null

0

null

0

1

0

f47f72a41b188aa9caae89718d01a31bf276031b

6,160

py

Python

tests/batch/test_get_batch.py

Remmeauth/remme-core-cli

94cc09fe9d2e718b45273dde68d6c672c4773f6a

[ "MIT" ]

null

tests/batch/test_get_batch.py

Remmeauth/remme-core-cli

94cc09fe9d2e718b45273dde68d6c672c4773f6a

[ "MIT" ]

94

2019-03-27T09:34:28.000Z

2019-08-27T05:32:33.000Z

tests/batch/test_get_batch.py

Remmeauth/remme-core-cli

94cc09fe9d2e718b45273dde68d6c672c4773f6a

[ "MIT" ]

6

2019-06-06T15:16:38.000Z

2020-02-24T12:55:55.000Z

""" Provide tests for command line interface's get batch command. """ import json import pytest from click.testing import CliRunner from cli.constants import ( DEV_BRANCH_NODE_IP_ADDRESS_FOR_TESTING, FAILED_EXIT_FROM_COMMAND_CODE, PASSED_EXIT_FROM_COMMAND_CODE, ) from cli.entrypoint import cli from cli.ut...

34.606742

118

0.63961

537

6,160

7.013035

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0.027881

0.035316

0.348115

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0.263675

0.237918

0.187201

0

0.148123

0.27776

6,160

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119

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false

0.03125

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0

0.085938

0

null

0

null

0

1

0

f4838193c2db95eaa11b6561ddf47a01a31acc59

690

py

Python

pyllusion/movement/movement_circles.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

pyllusion/movement/movement_circles.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

pyllusion/movement/movement_circles.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

import numpy as np from .movement_matrix import movement_matrix from ..image import image_circles def movement_circles(n=50, duration=2, fps=30, width=500, height=500, **kwargs): """ >>> import pyllusion as ill >>> >>> images = ill.movement_circles(n=50, duration=4, fps=30, color="black", size=0.05) ...

27.6

89

0.631884

101

690

4.188119

0.445545

0.066194

0.07565

0.085106

0.122931

0

0.038961

0.218841

690

24

90

28.75

0.745826

0.282609

0

1

0.083333

false

0

0.25

0

0.416667

0

null

0

null

0

1

0

f484180dc11ca61b16fecb37c23ed96a63de8738

6,853

py

Python

sce.py

hzwfl2/Semantic-consistent-Embedding

d3712cc6f27febbf654e1eb8c43c0b48376a9be1

[ "MIT" ]

2

2021-12-22T07:39:30.000Z

2022-01-02T14:45:39.000Z

sce.py

hch-xmu/Semantic-consistent-Embedding

2e408267095079d70daff6b391209aabb3d9acd3

[ "MIT" ]

null

sce.py

hch-xmu/Semantic-consistent-Embedding

2e408267095079d70daff6b391209aabb3d9acd3

[ "MIT" ]

3

2021-12-16T12:56:10.000Z

2022-01-18T02:03:31.000Z

#%% import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score from sklearn.naive_bayes import GaussianNB f...

33.758621

168

0.618707

954

6,853

4.232704

0.220126

0.010896

0.020802

0.011887

0.116147

0.072808

0.053492

0.027241

0

0.031585

0.223844

6,853

203

169

33.758621

0.72758

0.002773

0

0.013333

0

0.040906

0.013736

0

0.006667

1

0.073333

false

0

0.1

0.006667

0.246667

0.02

0

null

0

null

0

1

0

f484cdb74eddcab3519034cf17a9751d9384ce4d

1,876

py

Python

graphsage/partition_predict.py

colirain/GraphSAGE

a63145ff18f87cb69340c7b457c34839e9124086

[ "MIT" ]

null

graphsage/partition_predict.py

colirain/GraphSAGE

a63145ff18f87cb69340c7b457c34839e9124086

[ "MIT" ]

null

graphsage/partition_predict.py

colirain/GraphSAGE

a63145ff18f87cb69340c7b457c34839e9124086

[ "MIT" ]

null

import tensorflow as tf import numpy as np from graphsage.models import FCPartition from graphsage.partition_train import construct_placeholders from graphsage.utils import load_graph_data, load_embedded_data, load_embedded_idmap flags = tf.app.flags FLAGS = flags.FLAGS # flags.DEFINE_integer('dim_1', ...

30.754098

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0.678038

254

1,876

4.744094

0.334646

0.082158

0.039834

0.033195

0.121992

0.087137

0

0.009908

0.192964

1,876

61

96

30.754098

0.785997

0.299041

0

0.041935

0

1

0.060606

false

0

0.151515

0

0.212121

0.060606

0

null

0

null

0

1

0

f484e0eafc21497bc2d0dc913be6480e2eceab78

13,307

py

Python

scripts/generate_XML_files/DS1/annotatedsen_to_xml.py

AmmarQaseem/CPI-Pipeline-test

3866883c54d7bd77753ee4b72997949bdcf76359

[ "PostgreSQL", "ISC", "Intel" ]

null

scripts/generate_XML_files/DS1/annotatedsen_to_xml.py

AmmarQaseem/CPI-Pipeline-test

3866883c54d7bd77753ee4b72997949bdcf76359

[ "PostgreSQL", "ISC", "Intel" ]

null

scripts/generate_XML_files/DS1/annotatedsen_to_xml.py

AmmarQaseem/CPI-Pipeline-test

3866883c54d7bd77753ee4b72997949bdcf76359

[ "PostgreSQL", "ISC", "Intel" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- """ Copyright (c) 2015, Elham Abbasian <e_abbasian@yahoo.com>, Kersten Doering <kersten.doering@gmail.com> This parser reads annotated sentences (output from get_relations.py) in a tab-separated format to generate a unified XML format (Tikk et al., 2010. A compreh...

58.364035

425

0.618622

1,814

13,307

4.409592

0.211687

0.048756

0.031629

0.016502

0.292787

0.24303

0.230404

0.217652

0.204651

0.185523

0

0.022917

0.252348

13,307

227

426

58.621145

0.781084

0.362441

0

0.307018

0

0.182658

0.02854

0.017544

0

0.008811

0

1

0

false

0

0.035088

0

0.035088

0

null

0

null

0

1

0

f484e4f5510b4a5e4e942079f6f30e54e25d0b89

488

py

Python

tests/test_add_contact.py

SergeyDorokhov/python_training

e15e561fe7ad055048643adcfc88b3f2d55530ca

[ "Apache-2.0" ]

null

tests/test_add_contact.py

SergeyDorokhov/python_training

e15e561fe7ad055048643adcfc88b3f2d55530ca

[ "Apache-2.0" ]

null

tests/test_add_contact.py

SergeyDorokhov/python_training

e15e561fe7ad055048643adcfc88b3f2d55530ca

[ "Apache-2.0" ]

null

def test_add_contact(app, db, json_contacts, check_ui): contact = json_contacts list_before = db.get_contact_list() contact.id_contact = app.contact.get_next_id(list_before) app.contact.create(contact) assert len(list_before) + 1 == len(db.get_contact_list()) list_after = db.get_contact_list() ...

44.363636

67

0.727459

72

488

4.597222

0.319444

0.151057

0.108761

0.145015

0.120846

0

0.002439

0.159836

488

11

67

44.363636

0.804878

0

0.272727

1

0.090909

false

0

0.090909

0

null

0

null

0

1

0

f485580fbee3d8993b0b04b4d71777a8883725b7

1,182

py

Python

website/members/urls.py

eamanu/asoc_members

bf2e99e9c63c60a59bdfd10ca1812d78851cbde6

[ "MIT" ]

null

website/members/urls.py

eamanu/asoc_members

bf2e99e9c63c60a59bdfd10ca1812d78851cbde6

[ "MIT" ]

null

website/members/urls.py

eamanu/asoc_members

bf2e99e9c63c60a59bdfd10ca1812d78851cbde6

[ "MIT" ]

null

from django.conf import settings from django.conf.urls.static import static from django.urls import path from members import views urlpatterns = [ path('solicitud-alta/', views.signup_initial, name='signup'), path('solicitud-alta/persona/', views.signup_form_person, name='signup_person'), path('solicitud-...

47.28

88

0.755499

147

1,182

5.857143

0.319728

0.111498

0.078978

0

0.102369

1,182

24

89

49.25

0.811499

0

0.334179

0.080372

0

1

0

false

0

0.210526

0

0.210526

0

null

0

null

0

1

0

f485c8b7834281c5e46b0be30ec91fef7f0a76cd

2,482

py

Python

Benchmarking/Keras/Tensorflow/TF_dataforcomparisongraphss.py

vais-ral/CCPi-ML

ca9baeb0dd5db3a97ac8ab9e33e03aeae42ebfa4

[ "Apache-2.0" ]

null

Benchmarking/Keras/Tensorflow/TF_dataforcomparisongraphss.py

vais-ral/CCPi-ML

ca9baeb0dd5db3a97ac8ab9e33e03aeae42ebfa4

[ "Apache-2.0" ]

null

Benchmarking/Keras/Tensorflow/TF_dataforcomparisongraphss.py

vais-ral/CCPi-ML

ca9baeb0dd5db3a97ac8ab9e33e03aeae42ebfa4

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Jul 18 14:04:03 2018 @author: zyv57124 """ import scipy.io as sio import tensorflow as tf from tensorflow import keras import numpy as np import matplotlib import matplotlib.pyplot as plt from tensorflow.python.training import gradient_descent from time import tim...

17.236111

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0.580983

304

2,482

4.638158

0.440789

0.034043

0.024113

0.048227

0

0.036885

0.213537

2,482

144

145

17.236111

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0.193392

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0.046851

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0.285714

0

null

0

null

0

1

0

f485da5cf70dcae9f004e6210259cc3b9e4d5254

402

py

Python

Easy/two-numbers-sum/solution-1.py

MCFrank16/python-algo

dd48f6c5b9f4a941a18fc4620164c807c0e1d35e

[ "MIT" ]

null

Easy/two-numbers-sum/solution-1.py

MCFrank16/python-algo

dd48f6c5b9f4a941a18fc4620164c807c0e1d35e

[ "MIT" ]

null

Easy/two-numbers-sum/solution-1.py

MCFrank16/python-algo

dd48f6c5b9f4a941a18fc4620164c807c0e1d35e

[ "MIT" ]

null

# solution 1: Brute Force # time complexity: O(n^2) # space complexity: O(1) def twoNumberSum(arr, n): for i in range(len(arr) - 1): firstNum = arr[i] for j in range(i + 1, len(arr)): secondNum = arr[j] if firstNum + secondNum == n: return [first...

23.647059

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402

3.701754

0.54386

0.104265

0

0.059259

0.328358

402

16

46

25.125

0.722222

0.174129

0

1

0.111111

false

0

0.333333

0.111111

0

null

0

null

0

1

0

f488b98251360b04f0d4a4065b27efc58a8ffeb9

8,448

py

Python

data_extraction/scripts/bnf_adr_extraction.py

elpidakon/CRESCENDDI

ab9e65621d331689f4aaeeb08902f29d90b7d1b9

[ "MIT" ]

null

data_extraction/scripts/bnf_adr_extraction.py

elpidakon/CRESCENDDI

ab9e65621d331689f4aaeeb08902f29d90b7d1b9

[ "MIT" ]

null

data_extraction/scripts/bnf_adr_extraction.py

elpidakon/CRESCENDDI

ab9e65621d331689f4aaeeb08902f29d90b7d1b9

[ "MIT" ]

null

# Kontsioti, Maskell, Dutta & Pirmohamed, A reference set of clinically relevant # adverse drug-drug interactions (2021) # Code to extract single-drug side effect data from the BNF website from bs4 import BeautifulSoup import urllib import os, csv import numpy as np import pandas as pd import re from tqdm i...

43.546392

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8,448

4.456365

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0.034495

0.017607

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0.23392

0.208049

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1

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0

0.061947

0

null

0

null

0

1

0

f489d029eb3e215d049f6f2f3cc368f56d30226f

1,080

py

Python

core/forms.py

nicoknoll/howimetcorona

c55198118b2c31ee8b76c023b5a9fc4454cc1e08

[ "Apache-2.0" ]

1

2020-03-21T09:47:17.000Z

core/forms.py

nicoknoll/howimetcorona

c55198118b2c31ee8b76c023b5a9fc4454cc1e08

[ "Apache-2.0" ]

5

2020-03-20T20:12:16.000Z

2021-09-22T18:46:48.000Z

core/forms.py

nicoknoll/howimetcorona

c55198118b2c31ee8b76c023b5a9fc4454cc1e08

[ "Apache-2.0" ]

null

from django import forms class BaseFileForm(forms.Form): # we try to minify the file to only submit the data points_file = forms.FileField( required=False, widget=forms.FileInput(attrs={'required': 'required'}), label="Location History File (.json)" ) points_data = forms.CharFi...

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0.051355

0.068474

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0.20463

1,080

37

78

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0.04537

0

0.04

0.174927

0.029155

0

1

0.04

false

0.04

0

0.48

0

null

0

null

0

1

0

f48bfbdf82f8ea69c9578103bcb880d230cfe368

718

py

Python

papers/wdmerger_I/plots/sponge.py

AMReX-Astro/wdmerger

9f575efacc8d373b6d2961f731e30bf59ee15ffd

[ "MIT" ]

2

2019-01-23T21:12:02.000Z

2021-12-14T07:34:38.000Z

papers/wdmerger_I/plots/sponge.py

AMReX-Astro/wdmerger

9f575efacc8d373b6d2961f731e30bf59ee15ffd

[ "MIT" ]

1

2017-08-05T06:25:41.000Z

papers/wdmerger_I/plots/sponge.py

AMReX-Astro/wdmerger

9f575efacc8d373b6d2961f731e30bf59ee15ffd

[ "MIT" ]

2

2018-12-25T01:05:59.000Z

2020-12-28T10:01:59.000Z

# This Python program is used to create a plot displaying the sponge # function we use in the CASTRO hydrodynamics for the wdmerger problem. import numpy as np import matplotlib.pyplot as plt def sponge(r): sp rs = 0.75 rt = 0.85 r = np.linspace(0.0, 1.0, 1000) f = np.zeros(len(r)) idx = np.where(r < rs) f[id...

18.894737

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718

3.124138

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0.09713

0.057395

0

0.072635

0.175487

718

37

72

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0

0.043253

0

1

0.043478

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0

0.086957

0

0.130435

0

null

0

null

0

1

0

f48c4c17d15169f83e1e0f82eed8e69642feb9a8

753

py

Python

Python/110-1/Midterm Additional HW/005.py

JenFuChen/NKUST

bd80a449eddfdaf75709379d2e904ff70d409666

[ "MIT" ]

3

2021-11-07T17:33:54.000Z

2021-12-28T08:31:20.000Z

Python/110-1/Midterm Additional HW/005.py

JenFuChen/NKUST

bd80a449eddfdaf75709379d2e904ff70d409666

[ "MIT" ]

null

Python/110-1/Midterm Additional HW/005.py

JenFuChen/NKUST

bd80a449eddfdaf75709379d2e904ff70d409666

[ "MIT" ]

null

# 005 印出菱形 while(1): level = int(input()) if(level <= 0): break L = 2*level-1 mid = int((L - 1) / 2) inspa = mid * 2 - 1 for i in range(L): spa = level - i - 1 if spa >= 0: print(" " * spa, end='') print('*', end='') if spa < 0...

25.965517

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753

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0.252747

0.192

0.176

0.156

0.292

0.176

0

0.051813

0.487384

753

28

45

26.892857

0.595855

0.010624

0

0.307692

0

0.011189

0

1

0

false

0

0.346154

0

null

0

null

0

1

0

f48c7224abe2e2f0a451d9341ea395ac8a419de0

1,978

py

Python

dynamo/plot/pseudotime.py

davisidarta/dynamo-release

0dbd769f52ea07f3cdaa8fb31022ceb89938c382

[ "BSD-3-Clause" ]

null

dynamo/plot/pseudotime.py

davisidarta/dynamo-release

0dbd769f52ea07f3cdaa8fb31022ceb89938c382

[ "BSD-3-Clause" ]

null

dynamo/plot/pseudotime.py

davisidarta/dynamo-release

0dbd769f52ea07f3cdaa8fb31022ceb89938c382

[ "BSD-3-Clause" ]

null

import numpy as np from ..tools.utils import update_dict from .utils import save_fig def plot_direct_graph(adata, layout=None, figsize=[6, 4], save_show_or_return='show', save_kwargs={}, ): df_mat = adata...

28.257143

86

0.532356

230

1,978

4.4

0.504348

0.031621

0.039526

0.063241

0

0.010196

0.35541

1,978

69

87

28.666667

0.783529

0.128918

0

0.098657

0

1

0.018519

false

0

0.092593

0

0.12963

0

null

0

null

0

1

0

f48d18e383286d35c87dd89bd5701bc78cbbbad7

4,327

py

Python

ocean_lib/web3_internal/utils.py

joshualyguessennd/ocean.py

23274698df4aae078d53b12d768c721af16f6e80

[ "Apache-2.0" ]

null

ocean_lib/web3_internal/utils.py

joshualyguessennd/ocean.py

23274698df4aae078d53b12d768c721af16f6e80

[ "Apache-2.0" ]

1

2021-02-16T18:31:53.000Z

ocean_lib/web3_internal/utils.py

joshualyguessennd/ocean.py

23274698df4aae078d53b12d768c721af16f6e80

[ "Apache-2.0" ]

null

# Copyright 2018 Ocean Protocol Foundation # SPDX-License-Identifier: Apache-2.0 import json import logging import os from collections import namedtuple import eth_account import eth_keys import eth_utils from eth_keys import KeyAPI from eth_utils import big_endian_to_int from ocean_lib.web3_internal.web3_provider i...

29.040268

95

0.697712

592

4,327

4.890203

0.271959

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0.017271

0.02418

0.097064

0.064594

0.042832

0.026252

0

0.021178

0.203374

4,327

148

96

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0

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0.109756

false

0.036585

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0.378049

0

null

0

null

0

1

0

f48e86cd3da483fb8b0fe253866faf1ceee934c8

8,444

py

Python

src/main.py

ketsonroberto/PBDO

cdc1c5275bc17753be5c06a216f92391b6f1f1ab

[ "MIT" ]

null

src/main.py

ketsonroberto/PBDO

cdc1c5275bc17753be5c06a216f92391b6f1f1ab

[ "MIT" ]

null

src/main.py

ketsonroberto/PBDO

cdc1c5275bc17753be5c06a216f92391b6f1f1ab

[ "MIT" ]

null

# THIS IS A FILE TO TEST THE CODE. DO NOT USE IT AS PART OF THE CODE. import matplotlib.pyplot as plt import numpy as np from StochasticMechanics import Stochastic from scipy.optimize import minimize from Performance import PerformanceOpt from Hazards import Stationary from Building import * from BuildingProperties im...

30.157143

114

0.620441

1,376

8,444

3.679506

0.227471

0.027652

0.012443

0.245309

0.196721

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0.121865

0.095398

0

0.052365

0.206182

8,444

279

115

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0.702969

0.363809

0

0.061224

0

0.005922

0

1

0

false

0

0.132653

0

0.132653

0.040816

0

null

0

null

0

1

0

f48e9c0665ea9a8d85811305b04f10d8aba4b991

777

py

Python

categorical_embedder/embedders/core/aux/custom_object_handler.py

erelcan/categorical-embedder

376b8779500af2aa459c879f8e525f2ef25d6b31

[ "Apache-2.0" ]

3

2020-12-19T10:52:58.000Z

2021-06-08T09:06:44.000Z

categorical_embedder/embedders/core/aux/custom_object_handler.py

erelcan/categorical-embedder

376b8779500af2aa459c879f8e525f2ef25d6b31

[ "Apache-2.0" ]

null

categorical_embedder/embedders/core/aux/custom_object_handler.py

erelcan/categorical-embedder

376b8779500af2aa459c879f8e525f2ef25d6b31

[ "Apache-2.0" ]

null

from categorical_embedder.embedders.core.aux.custom_layers import get_custom_layer_class from categorical_embedder.embedders.core.aux.loss_factory import get_loss_function def prepare_custom_objects(custom_object_info): custom_objects = {} custom_objects.update(_prepare_custom_layers(custom_object_info["layer...

35.318182

88

0.804376

107

777

5.336449

0.271028

0.126095

0.112084

0.248687

0.136602

0

0.119691

777

21

89

37

0.834795

0

0.05148

0

1

0.2

false

0

0.133333

0.066667

0.533333

0

null

0

null

0

1

0

f48f23b7a5506d60b9ac1a5607df61a337660101

10,406

py

Python

osprofiler/cmd/shell.py

charliebr30/osprofiler

cffca4e29e373e3f09f2ffdd458761183a851569

[ "Apache-2.0" ]

null

osprofiler/cmd/shell.py

charliebr30/osprofiler

cffca4e29e373e3f09f2ffdd458761183a851569

[ "Apache-2.0" ]

1

2017-04-15T22:16:06.000Z

osprofiler/cmd/shell.py

shwsun/osprofiler

46d29fc5ab8a4068217e399883f39cdd443a7500

[ "Apache-2.0" ]

null

# Copyright 2014 Mirantis Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...

42.129555

79

0.548818

1,126

10,406

4.867673

0.221137

0.035577

0.080642

0.065864

0.369823

0.24813

0.090312

0.031381

0.01642

0

0.003449

0.35912

10,406

246

80

42.300813

0.818414

0.104939

0

0.05814

0

0.279328

0.044813

0

0.004065

0

1

0.040698

false

0.034884

0.052326

0

0.122093

0.005814

0

null

0

null

0

1

0

f48f3252e9a2f94d57cf6c129396083ea3b2d577

3,695

py

Python

bmt/util.py

patrickkwang/bmt-lite

bf97f6155702a8eb38daf5a45df34b0ce1cb1a4b

[ "MIT" ]

null

bmt/util.py

patrickkwang/bmt-lite

bf97f6155702a8eb38daf5a45df34b0ce1cb1a4b

[ "MIT" ]

null

bmt/util.py

patrickkwang/bmt-lite

bf97f6155702a8eb38daf5a45df34b0ce1cb1a4b

[ "MIT" ]

null

"""Utilities.""" from functools import wraps import re from typing import Callable, List, Optional, TypeVar, Union from .data import ( all_classes, all_slots, ) def pascal_to_snake(s: str, sep: str = "_") -> str: """Convert Pascal case to snake case. Assumes that a) all words are either all-lowercas...

27.781955

83

0.558863

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3,695

4.537946

0.310268

0.011805

0.005903

0.01033

0.092966

0.074766

0.026562

0

0.002324

0.301218

3,695

132

84

27.992424

0.78505

0.256834

0

0.1375

0

0.068399

0.030951

0

1

0.125

false

0

0.05

0

0.3875

0

null

0

null

0

1

0

be2e1617c4a15afe6886703b261c4b500fdae5e3

7,960

py

Python

sktime/utils/time_series.py

brettkoonce/sktime

6336247bad0dac8692aa4b911c267f401dea4163

[ "BSD-3-Clause" ]

1

2020-09-11T06:26:08.000Z

sktime/utils/time_series.py

brettkoonce/sktime

6336247bad0dac8692aa4b911c267f401dea4163

[ "BSD-3-Clause" ]

2

2020-04-20T12:26:42.000Z

2020-04-22T17:09:14.000Z

sktime/utils/time_series.py

brettkoonce/sktime

6336247bad0dac8692aa4b911c267f401dea4163

[ "BSD-3-Clause" ]

1

2022-02-14T18:19:01.000Z

__author__ = ["Markus Löning"] __all__ = [ "compute_relative_to_n_timepoints", "time_series_slope", "fit_trend", "remove_trend", "add_trend" ] import numpy as np from sklearn.utils import check_array from sktime.utils.validation.forecasting import check_time_index def compute_relative_to_n_timep...

29.157509

79

0.593593

1,083

7,960

4.226223

0.184672

0.045226

0.02447

0.019664

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0.354381

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7,960

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0

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0

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