xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

f93677e3c0422132e4317200707c94f174746b85

12,685

py

Python

dymos/examples/brachistochrone/doc/test_doc_brachistochrone.py

naylor-b/dymos

56ee72041056ae20c3332d060e291c4da93844b1

[ "Apache-2.0" ]

null

dymos/examples/brachistochrone/doc/test_doc_brachistochrone.py

naylor-b/dymos

56ee72041056ae20c3332d060e291c4da93844b1

[ "Apache-2.0" ]

null

dymos/examples/brachistochrone/doc/test_doc_brachistochrone.py

naylor-b/dymos

56ee72041056ae20c3332d060e291c4da93844b1

[ "Apache-2.0" ]

null

from __future__ import print_function, absolute_import, division import os import unittest import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt plt.style.use('ggplot') class TestBrachistochroneForDocs(unittest.TestCase): def tearDown(self): for filename in ['coloring.json', 'SLSQP.ou...

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py

Python

polynomials_on_simplices/polynomial/test/polynomials_simplex_bernstein_basis_test.py

FAndersson/polynomials_on_simplices

f015a4772c817bfa99b0d6b726667a38a174b064

[ "MIT" ]

1

2021-03-17T11:41:21.000Z

polynomials_on_simplices/polynomial/test/polynomials_simplex_bernstein_basis_test.py

FAndersson/polynomials_on_simplices

f015a4772c817bfa99b0d6b726667a38a174b064

[ "MIT" ]

null

polynomials_on_simplices/polynomial/test/polynomials_simplex_bernstein_basis_test.py

FAndersson/polynomials_on_simplices

f015a4772c817bfa99b0d6b726667a38a174b064

[ "MIT" ]

null

import sys import numpy as np import pytest import polynomials_on_simplices.algebra.multiindex as multiindex from polynomials_on_simplices.calculus.finite_difference import central_difference, central_difference_jacobian from polynomials_on_simplices.geometry.primitives.simplex import affine_map_from_unit from polyno...

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f98b10cf71c867854af6bc4d01a537dcaf468f75

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py

Python

src/causal2020/observables/simperturb.py

hassanobeid1994/tr_b_causal_2020

1ffaeb7dcefccf5e1f24c459e9a2f140b2a052a5

[ "MIT" ]

null

src/causal2020/observables/simperturb.py

hassanobeid1994/tr_b_causal_2020

1ffaeb7dcefccf5e1f24c459e9a2f140b2a052a5

[ "MIT" ]

89

2020-02-10T02:52:11.000Z

2020-06-23T03:50:27.000Z

src/causal2020/observables/simperturb.py

hassan-obeid/tr_b_causal_2020

1ffaeb7dcefccf5e1f24c459e9a2f140b2a052a5

[ "MIT" ]

null

# Estimated Probabilities # Perturb Variables based on Assumed Causal Graph # Drive Alone long_sim_data_causal.loc[ long_sim_data_causal["mode_id"] == 1, "total_travel_time" ] = reg.lin_reg_pred( X=long_sim_data_causal.loc[ long_sim_data_causal["mode_id"] == 1, "total_travel_distance" ], fitted_...

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fb05ad1565bfcb2ff802d167a1e4c3889decf6e7

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py

Python

coinbase_pro/__init__.py

fakecoinbase/TerrellVslashpython-coinbasepro-api

08865681e3266330bb41c5c34fa9f624bfa624cd

[ "MIT" ]

null

coinbase_pro/__init__.py

fakecoinbase/TerrellVslashpython-coinbasepro-api

08865681e3266330bb41c5c34fa9f624bfa624cd

[ "MIT" ]

null

coinbase_pro/__init__.py

fakecoinbase/TerrellVslashpython-coinbasepro-api

08865681e3266330bb41c5c34fa9f624bfa624cd

[ "MIT" ]

null

from coinbase_pro.api_public import CBProPublic from coinbase_pro.api_authenticated import CBProAuthenticated

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8

fb17ed8604e4823de7f53f4d93687348f8e21502

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py

Python

jiant/utils/testing/utils.py

yzpang/jiant

192d6b525c06f33010b59044df40cb86bbfba4ea

[ "MIT" ]

1,108

2019-04-22T09:19:19.000Z

2022-03-31T13:23:51.000Z

jiant/utils/testing/utils.py

eric11eca/inference-information-probing

f55156201992cb024edf112e06dd2d7fe09381e4

[ "MIT" ]

737

2019-04-22T14:30:36.000Z

2022-03-31T22:22:17.000Z

jiant/utils/testing/utils.py

eric11eca/inference-information-probing

f55156201992cb024edf112e06dd2d7fe09381e4

[ "MIT" ]

273

2019-04-23T01:42:11.000Z

2022-03-25T15:59:38.000Z

import sys def is_pytest(): return "pytest" in sys.modules

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1

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7

9524c5d6db466f7276adceccf7a882ffc0d03dbb

5,461

py

Python

src/vigorish/data/team_data.py

a-luna/vigorish

6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6

[ "MIT" ]

2

2021-07-15T13:53:33.000Z

2021-07-25T17:03:29.000Z

src/vigorish/data/team_data.py

a-luna/vigorish

6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6

[ "MIT" ]

650

2019-05-18T07:00:12.000Z

2022-01-21T19:38:55.000Z

src/vigorish/data/team_data.py

a-luna/vigorish

6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6

[ "MIT" ]

2

2020-03-28T21:01:31.000Z

2022-01-06T05:16:11.000Z

from functools import cached_property from typing import Dict, List from sqlalchemy.engine import Engine from sqlalchemy.orm import Session import vigorish.database as db from vigorish.app import Vigorish from vigorish.data.metrics import BatStatsMetrics, PitchStatsMetrics from vigorish.data.scraped_data import Scrap...

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null

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0

1

0

9

1f94898196d96a023b8848ff9c80f0039d09e458

25,489

py

Python

tests/test_created__more_statistics.py

ironmussa/Optimus

fbaea6e0957f0bc016280a85ff021904faac20c5

[ "Apache-2.0" ]

1,045

2017-07-17T17:59:46.000Z

2021-06-15T07:06:48.000Z

tests/test_created__more_statistics.py

ironmussa/Optimus

fbaea6e0957f0bc016280a85ff021904faac20c5

[ "Apache-2.0" ]

955

2017-07-14T15:47:58.000Z

2021-05-27T14:16:24.000Z

tests/test_created__more_statistics.py

ironmussa/Optimus

fbaea6e0957f0bc016280a85ff021904faac20c5

[ "Apache-2.0" ]

226

2017-08-04T20:41:33.000Z

2021-05-21T08:28:33.000Z

import datetime import numpy as np from optimus.tests.base import TestBase from optimus.helpers.json import json_encoding from optimus.helpers.functions import deep_sort, df_dicts_equal, results_equal def Timestamp(t): return datetime.datetime.strptime(t, "%Y-%m-%d %H:%M:%S") NaT = np.datetime64('NaT') nan = fl...

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null

0

7

2f11de0715eca3e251fe49c72077a957cac5b0fa

2,987

py

Python

character.py

timothydillan/turnaround-battle-game

acb5d35910386187e125fad5b612339798b3157b

[ "CC0-1.0" ]

null

character.py

timothydillan/turnaround-battle-game

acb5d35910386187e125fad5b612339798b3157b

[ "CC0-1.0" ]

null

character.py

timothydillan/turnaround-battle-game

acb5d35910386187e125fad5b612339798b3157b

[ "CC0-1.0" ]

2

2020-03-01T06:17:47.000Z

2020-03-03T02:33:48.000Z

# Initialize libraries needed for the class. # All things taken from the internet are put in referenceList.txt from random import randint import self from setup import * # Declare a warrior class for the units. class Warrior: # Initialize attributes of a Warrior def __init__(self, name, health, atta...

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null

0

7

2f4c18fc337a32422fb81d37fd02223c8edff190

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py

Python

test/test_macro/internal/test_alias_all.py

NikkaZ/dbtvault_spark

383723cd2a35a0bc7b82fd4e77fb1eda0f68cb07

[ "Apache-2.0" ]

null

test/test_macro/internal/test_alias_all.py

NikkaZ/dbtvault_spark

383723cd2a35a0bc7b82fd4e77fb1eda0f68cb07

[ "Apache-2.0" ]

null

test/test_macro/internal/test_alias_all.py

NikkaZ/dbtvault_spark

383723cd2a35a0bc7b82fd4e77fb1eda0f68cb07

[ "Apache-2.0" ]

null

import pytest from test import dbtvault_harness_utils macro_name = "alias_all" @pytest.mark.macro def test_alias_all_correctly_generates_sql_for_full_alias_list_with_prefix(request, generate_model): var_dict = {'columns': [{"source_column": "CUSTOMER_HASHDIFF", "alias": "HASHDIFF"}, ...

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8

2f829e477db4114b1fc4605bf179117123c1a1f5

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py

Python

tests/apps/blazewebtestapp2/components/tests/tasks/init_db.py

blazelibs/blazeweb

b120a6a2e38c8b53da2b73443ff242e2d1438053

[ "BSD-3-Clause" ]

null

tests/apps/blazewebtestapp2/components/tests/tasks/init_db.py

blazelibs/blazeweb

b120a6a2e38c8b53da2b73443ff242e2d1438053

[ "BSD-3-Clause" ]

6

2016-11-01T18:42:34.000Z

2020-11-16T16:52:14.000Z

tests/apps/blazewebtestapp2/components/tests/tasks/init_db.py

blazelibs/blazeweb

b120a6a2e38c8b53da2b73443ff242e2d1438053

[ "BSD-3-Clause" ]

1

2020-01-22T18:20:46.000Z

loc = 'blazewebtestapp2.components.tests.tasks.init_db' loctoo = 'blazewebtestapp2.components.tests.tasks.init_db' def action_001(): return loctoo

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10

c8319920f118ade000c880235376e6e50635beee

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py

Python

nova/tests/unit/cmd/test_idmapshift.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/cmd/test_idmapshift.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/cmd/test_idmapshift.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

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0.917876

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c0993f066edce1617598132d95ab381bcdf8258b

39,502

py

Python

alibabacloud-gateway-fc/python/alibabacloud_gateway_fc/client.py

aliyun/alibabacloud-gateway

6fb50cd7a0731164a02fa8f1a07fd09ec66d508d

[ "Apache-2.0" ]

2

2021-11-30T04:14:36.000Z

2021-11-30T04:38:13.000Z

alibabacloud-gateway-fc/python/alibabacloud_gateway_fc/client.py

aliyun/alibabacloud-gateway

6fb50cd7a0731164a02fa8f1a07fd09ec66d508d

[ "Apache-2.0" ]

3

2021-12-16T03:16:38.000Z

2022-03-11T06:34:59.000Z

alibabacloud-gateway-fc/python/alibabacloud_gateway_fc/client.py

aliyun/alibabacloud-gateway

6fb50cd7a0731164a02fa8f1a07fd09ec66d508d

[ "Apache-2.0" ]

2

2021-12-16T01:47:40.000Z

2021-12-16T07:21:38.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.exceptions import TeaException from alibabacloud_darabonba_encode_util.encoder import Encoder from alibabacloud_darabonba_signature_util.signer import Signer from typing import Dict, Any, List from Tea.core import TeaCore from aliba...

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null

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8

c0bea784fe5de913f766d7b048b711625f9983e4

32,696

py

Python

RegnierProblemLP.py

LuizHNLorena/Regnier-Problem

6481c3918fccb7e7f54783ea1094604e0571432a

[ "MIT" ]

null

RegnierProblemLP.py

LuizHNLorena/Regnier-Problem

6481c3918fccb7e7f54783ea1094604e0571432a

[ "MIT" ]

null

RegnierProblemLP.py

LuizHNLorena/Regnier-Problem

6481c3918fccb7e7f54783ea1094604e0571432a

[ "MIT" ]

null

#coding: utf-8 import csv import time from igraph import Graph class RegnierProblemLP: """Regnier Problem Class Clustering qualitative data through Integer Linear Programming. Attributes: S (list of list of int): Similarity Matrix n (int): Number of instances m ...

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null

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239016e61ac991ad886affdfc5c52afe78549960

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py

Python

safe_transaction_service/history/indexers/decoder_abis/maker_dao.py

fmrsabino/safe-transaction-service

bafc7a7f76c282295efa8de19958185ef7773622

[ "MIT" ]

null

safe_transaction_service/history/indexers/decoder_abis/maker_dao.py

fmrsabino/safe-transaction-service

bafc7a7f76c282295efa8de19958185ef7773622

[ "MIT" ]

null

safe_transaction_service/history/indexers/decoder_abis/maker_dao.py

fmrsabino/safe-transaction-service

bafc7a7f76c282295efa8de19958185ef7773622

[ "MIT" ]

null

import json maker_dao_erc20_fee_proxy = json.loads('[{"anonymous":false,"inputs":[{"indexed":false,"internalType":"address","name":"tokenAddress","type":"address"},{"indexed":false,"internalType":"address","name":"to","type":"address"},{"indexed":false,"internalType":"uint256","name":"amount","type":"uint256"},{"index...

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7.084746

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1

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1

null

0

1

0

7

239f9fe1ee4c6ddd8fe3c155a43b4daf2e3e6675

1,536

py

Python

labs/lab5/reinforcementlearning.py

MITLLRacecar/racecar-parth-kocheta

6e244575b83e312880c5540342a380364032d326

[ "MIT" ]

1

2021-08-01T17:06:39.000Z

labs/lab5/reinforcementlearning.py

MITLLRacecar/racecar-parth-kocheta

6e244575b83e312880c5540342a380364032d326

[ "MIT" ]

null

labs/lab5/reinforcementlearning.py

MITLLRacecar/racecar-parth-kocheta

6e244575b83e312880c5540342a380364032d326

[ "MIT" ]

null

import sys import cv2 as cv import numpy as np sys.path.insert(0, "../../library") import racecar_core import racecar_utils as rc_utils from racecar_utils import ARMarker from enum import Enum, IntEnum import random rc = racecar_core.create_racecar() speed = 0 angle = 0 lidar_arr = [] def start(): rc.drive.stop(...

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7

23a558f6a789aa8ee1b8281bc3beeffde1c47091

3,809

py

Python

GMATE/dialogs.py

lexrupy/gmate-editor

7036d58a083ad6c05c1eb4cf7cb92405b369adb7

[ "MIT" ]

1

2016-05-09T11:48:44.000Z

GMATE/dialogs.py

lexrupy/gmate-editor

7036d58a083ad6c05c1eb4cf7cb92405b369adb7

[ "MIT" ]

null

GMATE/dialogs.py

lexrupy/gmate-editor

7036d58a083ad6c05c1eb4cf7cb92405b369adb7

[ "MIT" ]

null

# -*- coding: utf-8 -*- # GMate - Plugin Based Programmer's Text Editor # Copyright © 2008-2009 Alexandre da Silva # # This file is part of Gmate. # # See LICENTE.TXT for licence information import gtk import gnomevfs from GMATE import files from GMATE import i18n as i def error(message): """Displays on error di...

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0.004356

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0

null

0

1

0

7

23a81c02c1c28ed0cf4db8f5169ca92cf6510372

27

py

Python

utokenize/testdata/no_nl2.py

AEMICS/pycopy-lib

56f4436123e30be9928662361098a71cae82eecc

[ "PSF-2.0" ]

126

2019-07-19T14:42:41.000Z

2022-03-21T22:22:19.000Z

utokenize/testdata/no_nl2.py

AEMICS/pycopy-lib

56f4436123e30be9928662361098a71cae82eecc

[ "PSF-2.0" ]

38

2019-08-28T01:46:31.000Z

2022-03-17T05:46:51.000Z

utokenize/testdata/no_nl2.py

AEMICS/pycopy-lib

56f4436123e30be9928662361098a71cae82eecc

[ "PSF-2.0" ]

55

2019-08-02T09:32:33.000Z

2021-12-22T11:25:51.000Z

if 1: if 2: 123

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null

0

1

0

8

f1a0981dfa0e11dd31536732e46f44452840544b

961

py

Python

EdwinEngine/led_indicators.py

Alexander1022/EdwinProject

ae347be9bf3c2886975096c61c98c69d143ae0a3

[ "MIT" ]

1

2020-12-08T18:14:40.000Z

EdwinEngine/led_indicators.py

Alexander1022/EdwinProject

ae347be9bf3c2886975096c61c98c69d143ae0a3

[ "MIT" ]

null

EdwinEngine/led_indicators.py

Alexander1022/EdwinProject

ae347be9bf3c2886975096c61c98c69d143ae0a3

[ "MIT" ]

null

import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(17, GPIO.OUT, initial=GPIO.LOW) GPIO.setup(27, GPIO.OUT, initial=GPIO.LOW) GPIO.setup(22, GPIO.OUT, initial=GPIO.LOW) def startup(): GPIO.output(17, GPIO.HIGH) time.sleep(0.2) GPIO.output(17, GPIO.LOW) GPIO.output(27, G...

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0

1

0

null

0

1

0

7

f1b8de4eb579b151c8ae80e1a9d12fa95d99d048

8,982

py

Python

basic_knowledge/json_demo.py

lucid-lynxz/PythonDemos

5affed1fd7989e1cedecaa1ee673a0d418231891

[ "Apache-2.0" ]

3

2018-09-11T07:32:16.000Z

2021-01-19T09:05:56.000Z

basic_knowledge/json_demo.py

lucid-lynxz/PythonDemos

5affed1fd7989e1cedecaa1ee673a0d418231891

[ "Apache-2.0" ]

null

basic_knowledge/json_demo.py

lucid-lynxz/PythonDemos

5affed1fd7989e1cedecaa1ee673a0d418231891

[ "Apache-2.0" ]

null

#!/usr/local/bin/python3.5 # -*- coding: utf-8 -*- ''' json序列化和反序列化 ''' import json d = dict(name='lynxz', age=29) print(json.dumps(d)) json_str = '{"age": 20, "score": 88, "name": "Bob","data":{"name":"lynxz"}}' obj = json.loads(json_str) # 反序列化 print(obj['age']) # 20 result = 'https://www.pgyer.com/%s' % obj['da...

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0

12

f1db39d9fcc9b0d54d84fdaec66f71f10ba26465

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py

Python

czsc/ClPubSub/producer.py

newlyedward/czsc

7b87298a09d2f317afbd9552b001a433f8954c78

[ "MIT" ]

null

czsc/ClPubSub/producer.py

newlyedward/czsc

7b87298a09d2f317afbd9552b001a433f8954c78

[ "MIT" ]

null

czsc/ClPubSub/producer.py

newlyedward/czsc

7b87298a09d2f317afbd9552b001a433f8954c78

[ "MIT" ]

null

#!/usr/bin/env python 3 import pika from czsc.ClPubSub.base import BasePubSub from czsc.ClPubSub.setting import pubsub_ip, pubsub_port, pubsub_user, pubsub_password class Publisher(BasePubSub): def __init__(self, host=pubsub_ip, port=pubsub_port, user=pubsub_user, password=pubsub_password, chan...

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1

0

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0

null

0

1

0

8

9e2b5e09d81f88d96de821e06cba28890f99223a

10,586

py

Python

scripts/artifacts/screentimeAll.py

xperylabhub/iLEAPP

fd1b301bf2094387f51ccdbd10ed233ce9abd687

[ "MIT" ]

null

scripts/artifacts/screentimeAll.py

xperylabhub/iLEAPP

fd1b301bf2094387f51ccdbd10ed233ce9abd687

[ "MIT" ]

1

2021-01-16T05:32:40.000Z

scripts/artifacts/screentimeAll.py

xperylabhub/iLEAPP

fd1b301bf2094387f51ccdbd10ed233ce9abd687

[ "MIT" ]

null

import glob import os import pathlib import plistlib import sqlite3 import scripts.artifacts.artGlobals #use to get iOS version -> iOSversion = scripts.artifacts.artGlobals.versionf from packaging import version #use to search per version number from scripts.artifact_report import ArtifactHtmlReport from scripts.ilapf...

39.062731

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0.801622

0

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281

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0

1

0

1

0

1

0

null

0

8

9e2ff4cd5e406a28581b3e890fac206db3e0d6cd

20,320

py

Python

transformer/vocab.py

wxy1988/ASR

8ef3ef347523044c89c46c263ecc7b8e9b2c06d1

[ "Apache-2.0" ]

60

2018-08-21T08:07:31.000Z

2021-11-08T10:40:17.000Z

transformer/vocab.py

wxy1988/ASR

8ef3ef347523044c89c46c263ecc7b8e9b2c06d1

[ "Apache-2.0" ]

7

2018-10-23T08:50:15.000Z

2021-11-15T09:32:29.000Z

transformer/vocab.py

wxy1988/ASR

8ef3ef347523044c89c46c263ecc7b8e9b2c06d1

[ "Apache-2.0" ]

29

2018-09-21T06:11:03.000Z

2022-02-18T07:12:58.000Z

# coding=utf-8 import codecs import logging import os from argparse import ArgumentParser from collections import Counter import yaml from utils import AttrDict def make_vocab(fpath, fname): """Constructs vocabulary. Args: fpath: A string. Input file path. fname: A string. Output file name....

43.793103

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20,320

4.473871

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0.901291

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0.838345

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0.073499

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1

0

1

0

1

null

0

1

0

9

7b34b8cd517ebb5d191125efc53a354bcdedbc75

156

py

Python

cart/admin.py

dharmikpopat/cohinza

fb8cbc8d34758687d72f120537dce5755c71d110

[ "MIT" ]

null

cart/admin.py

dharmikpopat/cohinza

fb8cbc8d34758687d72f120537dce5755c71d110

[ "MIT" ]

null

cart/admin.py

dharmikpopat/cohinza

fb8cbc8d34758687d72f120537dce5755c71d110

[ "MIT" ]

null

from django.contrib import admin from .models import Cart, CartItem, CartAdmin admin.site.register(Cart, CartAdmin) admin.site.register(CartItem)

19.5

46

0.769231

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0.55

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156

7

47

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0

1

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1

0

1

0

null

0

1

0

1

0

7

7b546583f1d1067292507731efffc041351f3cd1

18,514

py

Python

pretrain_src/data/image_tasks.py

cshizhe/VLN-HAMT

08918ddcea7b7822831a5b535038732f8dfeab23

[ "MIT" ]

33

2021-11-12T14:45:21.000Z

2022-03-31T13:01:02.000Z

pretrain_src/data/image_tasks.py

biubiuisacat/VLN-HAMT

08918ddcea7b7822831a5b535038732f8dfeab23

[ "MIT" ]

5

2022-01-12T03:58:28.000Z

2022-03-16T01:25:21.000Z

pretrain_src/data/image_tasks.py

biubiuisacat/VLN-HAMT

08918ddcea7b7822831a5b535038732f8dfeab23

[ "MIT" ]

5

2021-11-15T06:06:05.000Z

2022-03-10T02:35:06.000Z

import random import numpy as np import torch from torch.nn.utils.rnn import pad_sequence from .data import pad_tensors, gen_seq_masks from .mlm import random_word, MlmDataset from .mrc import _get_img_mask, MrcDataset from .sap import SapDataset from .sar import SarDataset from .sprel import SprelDataset from .itm i...

36.373281

88

0.628281

2,506

18,514

4.309258

0.055866

0.106677

0.069821

0.048801

0.873599

0.868969

0.866006

0.863043

0.859154

0

0.005699

0.232365

18,514

508

89

36.444882

0.754151

0.050718

0

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0

1

0.031579

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0

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0.107895

0

null

0

1

0

1

0

null

0

7

7b59b155b83b33263012d99c2cb4e69a10383129

9,678

py

Python

alphafy.py

knowminni/emojify

1d8445029f578f2032d443c99982e47b0e5e7807

[ "Apache-2.0" ]

null

alphafy.py

knowminni/emojify

1d8445029f578f2032d443c99982e47b0e5e7807

[ "Apache-2.0" ]

null

alphafy.py

knowminni/emojify

1d8445029f578f2032d443c99982e47b0e5e7807

[ "Apache-2.0" ]

null

import emoji def A(text): res = '' for row in range(0,7): for col in range(0,7): if (((col == 1 or col == 4) and row != 0) or ((row == 0 or row == 3) and (col > 1 and col < 5))): res = res + text else: res = res + ' ' ...

25.603175

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9,678

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0.037445

0.182292

0.12037

0.135417

0.944734

0.928819

0.91522

0.896701

0.866609

0.849248

0

0.065971

0.505063

9,678

377

203

25.671088

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0

0.730769

0

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0

1

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0

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0.188811

0

null

0

1

0

1

0

1

0

null

0

8

7b64b4d930a72736a55f596e1707c596c03f85c0

5,688

py

Python

dfirtrack_main/tests/casestatus/test_casestatus_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

273

2018-04-18T22:09:15.000Z

2021-06-04T09:15:48.000Z

dfirtrack_main/tests/casestatus/test_casestatus_views.py

stuhli/dfirtrack

9260c91e4367b36d4cb1ae7efe4e2d2452f58e6e

[ "Apache-2.0" ]

75

2018-08-31T11:05:37.000Z

2021-06-08T14:15:07.000Z

dfirtrack_main/tests/casestatus/test_casestatus_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

61

2018-11-12T22:55:48.000Z

2021-06-06T15:16:16.000Z

import urllib.parse from django.contrib.auth.models import User from django.test import TestCase from dfirtrack_main.models import Casestatus class CasestatusViewTestCase(TestCase): """casestatus view tests""" @classmethod def setUpTestData(cls): # create object Casestatus.objects.crea...

32.135593

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0.614803

542

5,688

6.263838

0.118081

0.058321

0.074227

0.067747

0.889838

0.846539

0.837113

0.83299

0.789691

0.772607

0

0.018288

0.279008

5,688

176

87

32.318182

0.809559

0.111639

0

0.47

0

0.163944

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0

0.1

1

0.11

false

0.09

0.04

0

0.16

0

null

0

1

0

null

0

1

0

7

7b964306ad533eeb2e581480218a53b894bb45af

81

py

Python

mellon/factories/web_crawler/__init__.py

LaudateCorpus1/mellon

a7a9f6d8abf1dd03b63a94ddb4439c6cc6c2e272

[ "MIT" ]

5

2016-12-20T19:39:01.000Z

2021-01-08T16:19:17.000Z

mellon/factories/web_crawler/__init__.py

CrowdStrike/mellon

7216f255d397a41b1c2777a1b02f1c085d07ddfe

[ "MIT" ]

1

2018-03-21T17:05:13.000Z

mellon/factories/web_crawler/__init__.py

LaudateCorpus1/mellon

a7a9f6d8abf1dd03b63a94ddb4439c6cc6c2e272

[ "MIT" ]

2

2017-11-01T15:03:27.000Z

2018-11-13T03:04:44.000Z

from .interfaces import IScrapyHttpResponse from .interfaces import IScrapySpider

40.5

43

0.888889

8

81

9

0.625

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0.555556

0

0.08642

81

2

44

40.5

0.972973

0

1

0

true

0

1

0

1

0

1

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null

1

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1

0

null

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1

0

1

0

1

0

7

7b9a6f327c591be95939b6d0b1038142e2323c0c

108

py

Python

pythonCore/ch05/E09.py

Furzoom/learnpython

a3034584e481d4e7c55912d9da06439688aa67ea

[ "MIT" ]

null

pythonCore/ch05/E09.py

Furzoom/learnpython

a3034584e481d4e7c55912d9da06439688aa67ea

[ "MIT" ]

null

pythonCore/ch05/E09.py

Furzoom/learnpython

a3034584e481d4e7c55912d9da06439688aa67ea

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- print 17 + 32 print 017 + 32 print 017 + 032 print 56l + 78l

13.5

23

0.611111

19

108

3.473684

0.736842

0.212121

0.30303

0

0.238095

0.222222

108

8

24

13.5

0.547619

0.388889

0

null

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

7bc80702045714c9bad9a2090117d645bff3148d

126

py

Python

envs/d4rl/d4rl_content/gym_minigrid/envs/__init__.py

AliengirlLiv/babyai

51421ee11538bf110c5b2d0c84a15f783d854e7d

[ "MIT" ]

2

2022-02-24T08:47:48.000Z

2022-03-23T09:44:22.000Z

envs/d4rl/d4rl_content/gym_minigrid/envs/__init__.py

AliengirlLiv/babyai

51421ee11538bf110c5b2d0c84a15f783d854e7d

[ "MIT" ]

null

envs/d4rl/d4rl_content/gym_minigrid/envs/__init__.py

AliengirlLiv/babyai

51421ee11538bf110c5b2d0c84a15f783d854e7d

[ "MIT" ]

1

2021-12-27T19:03:38.000Z

from envs.d4rl.d4rl_content.gym_minigrid.envs.fourrooms import * from envs.d4rl.d4rl_content.gym_minigrid.envs.empty import *

42

64

0.84127

20

126

5.1

0.45

0.156863

0.235294

0.313725

0.745098

0

0.033898

0.063492

126

2

65

63

0.830508

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

10

c878d03db9944ff0dbc0462a16c223b35b854122

17,437

py

Python

gf256.py

samrussell/rcode

0d1a67854c726927004f8df893faef58f0f1c5bc

[ "0BSD" ]

1

2015-03-06T04:04:26.000Z

gf256.py

samrussell/rcode

0d1a67854c726927004f8df893faef58f0f1c5bc

[ "0BSD" ]

null

gf256.py

samrussell/rcode

0d1a67854c726927004f8df893faef58f0f1c5bc

[ "0BSD" ]

null

#!/usr/bin/python import math import pprint import numpy import random import os import json import struct import time def makegaloisfield(fieldsize, generator): # generate tables #generator = 0b100011011 # x^8 + x^4 + x^3 + x + 1 = 100011011 #fieldsize = 256 table = [[0 for y in xrange(fieldsize)] for x i...

34.666004

176

0.631359

2,528

17,437

4.332674

0.124604

0.016434

0.02246

0.035698

0.787273

0.77586

0.761253

0.740345

0.730667

0.720077

0

0.029846

0.242932

17,437

502

177

34.73506

0.799864

0.244595

0

0.595808

1

0

0.046305

0

null

0

0.023952

null

0.053892

0

null

0

1

0

1

0

null

0

1

0

7

c8a3538afc58bb8ca2dd803be5edd17549a1af8b

2,358

py

Python

cgi-bin/testdir.py

pinckert/pinckert.com

7d6ce3e37c6c39c1deebbceb40f4442d34c20e23

[ "Apache-2.0" ]

1

2020-07-29T22:45:07.000Z

cgi-bin/testdir.py

pinckert/pinckert.com

7d6ce3e37c6c39c1deebbceb40f4442d34c20e23

[ "Apache-2.0" ]

null

cgi-bin/testdir.py

pinckert/pinckert.com

7d6ce3e37c6c39c1deebbceb40f4442d34c20e23

[ "Apache-2.0" ]

null

<<<<<<< HEAD #!/usr/bin/python import os import sys import json def buildLinks(fileList, path): # path is the location from root (script executes in cgi-bin) # returns: array of dictionary # file content format: # name: filename # is_dir: true if directory # link: action to execute when clicke...

25.630435

65

0.61408

300

2,358

4.78

0.23

0.027894

0.025105

0.052999

0.969317

0

0.015127

0.215013

2,358

91

66

25.912088

0.759589

0.236641

0

0.923077

0

0.175281

0

null

0

0.092308

null

0.092308

0

null

0

1

0

1

0

null

0

1

0

8

b518718385af9f4cd41fe271952d081b06d67cee

10,405

py

Python

test_units.py

B2dfir/gcp_timeliner

6142f2f3f27f4a1f2101866a3b9967232017d135

[ "Apache-2.0" ]

6

2019-09-22T02:54:59.000Z

2020-07-31T10:36:01.000Z

test_units.py

B2dfir/gcp_timeliner

6142f2f3f27f4a1f2101866a3b9967232017d135

[ "Apache-2.0" ]

null

test_units.py

B2dfir/gcp_timeliner

6142f2f3f27f4a1f2101866a3b9967232017d135

[ "Apache-2.0" ]

1

2019-09-26T03:36:01.000Z

import os import csv import json import gcp_timeliner # To use this file, run the following command from this directory: # pytest test_functions.py -v def test_readMap(): testVal = gcp_timeliner.readMap("./maps/iam_PolicyUpdated.map") assert type(testVal) is dict assert len(testVal) == 2 def test_santi...

94.590909

3,096

0.701682

1,116

10,405

6.509857

0.198925

0.028906

0.049553

0.05203

0.803441

0.792429

0.789814

0.776325

0

0.060989

0.093897

10,405

110

3,097

94.590909

0.709588

0.008842

0

0.26087

0

0.043478

0.753855

0.646785

0

0.293478

1

0.065217

false

0

0.043478

0

0.108696

0

null

0

1

0

1

0

1

null

0

9

b562665cfd1d7508affb387335426c548940b1db

11,031

py

Python

src/scripts/plotting.py

esowc/aq-biascorrection

4fada30d71908c2e345c5e2fd0482c969dde19bd

[ "MIT" ]

9

2021-05-25T12:20:41.000Z

2021-11-02T12:29:00.000Z

src/scripts/plotting.py

esowc/aq-biascorrection

4fada30d71908c2e345c5e2fd0482c969dde19bd

[ "MIT" ]

8

2021-06-15T06:21:47.000Z

2021-09-10T08:07:13.000Z

src/scripts/plotting.py

esowc/aq-biascorrection

4fada30d71908c2e345c5e2fd0482c969dde19bd

[ "MIT" ]

3

2021-10-02T03:29:25.000Z

2021-12-08T03:22:24.000Z

import logging import os import sys from pathlib import Path import click from pytz import NonExistentTimeError from src import constants from src.data import utils from src.visualization.data_visualization import StationTemporalSeriesPlotter PATH = click.Path(exists=True, path_type=Path) @click.command() @click.a...

32.539823

88

0.625782

1,360

11,031

4.975

0.108824

0.036949

0.028377

0.02956

0.898167

0.896098

0.888413

0.878658

0.874224

0

0.007207

0.245309

11,031

338

89

32.636095

0.805526

0.166349

0

0.801471

0

0.176164

0.026053

0

1

0.018382

false

0

0.033088

0

0.051471

0

null

0

1

0

1

0

null

0

7

a9508496bf993b88dad2217b9e7a92d885ad4627

3,820

py

Python

betting.py

fredlacs/SoccerPrediction

e610d2ec1a89228f6d684460e1860d3931b975c1

[ "MIT" ]

null

betting.py

fredlacs/SoccerPrediction

e610d2ec1a89228f6d684460e1860d3931b975c1

[ "MIT" ]

null

betting.py

fredlacs/SoccerPrediction

e610d2ec1a89228f6d684460e1860d3931b975c1

[ "MIT" ]

null

def test_betting_stategy(predictions, test_features, test_labels, bet_difference=0.05): result = { 'spend': 0, 'return': 0, } for i in range(0, len(predictions)): probabilities = predictions[i]['probabilities'] if probabilities[1] > (1 / test_features['odds-draw'][i]) + bet...

33.80531

92

0.567801

443

3,820

4.735892

0.088036

0.125834

0.106768

0.056721

0.92183

0.902765

0.890372

0

0.019031

0.270942

3,820

113

93

33.80531

0.734291

0.077487

0

0.74359

0

0.138352

0

1

0.064103

false

0

0.128205

0

null

0

1

0

1

0

null

0

7

8d59dc45c8fd053c1910599a3930ce2f986d2991

6,323

py

Python

tests/test_reverse_translate.py

williamabreu/routeros-cgnat

222ad014cb81d5608f38b591e80ea861efc738db

[ "MIT" ]

3

2020-09-08T20:52:36.000Z

2021-09-09T15:10:15.000Z

tests/test_reverse_translate.py

williamabreu/routeros-cgnat

222ad014cb81d5608f38b591e80ea861efc738db

[ "MIT" ]

null

tests/test_reverse_translate.py

williamabreu/routeros-cgnat

222ad014cb81d5608f38b591e80ea861efc738db

[ "MIT" ]

null

import unittest from collections import OrderedDict from ipaddress import IPv4Address, IPv4Network from pycgnat.translator.reverse import cgnat_reverse class TestReverseTranslate(unittest.TestCase): def setUp(self): self.privnet = IPv4Network("100.64.0.0/20") self.pubnet = IPv4Network("203.0.113....

29.273148

79

0.48458

594

6,323

5.060606

0.127946

0.115768

0.127745

0.16833

0.826347

0.78809

0.772788

0

0.131824

0.406136

6,323

215

80

29.409302

0.668708

0

0.673077

0

0.066108

0

0.129808

1

0.024038

false

0

0.019231

0

0.048077

0

null

0

1

0

null

0

7

8d9809712631984036063f59c470461656d9c0b4

69

py

Python

python/String/1.py

MakeIoTReal/PythonBasic

844951ce8122523ad9aed4b7979df44520d92101

[ "Unlicense" ]

null

python/String/1.py

MakeIoTReal/PythonBasic

844951ce8122523ad9aed4b7979df44520d92101

[ "Unlicense" ]

null

python/String/1.py

MakeIoTReal/PythonBasic

844951ce8122523ad9aed4b7979df44520d92101

[ "Unlicense" ]

null

print('Hello') print("Hello") print('Hello \"World\"') print("\"d\"")

17.25

24

0.594203

9

69

4.555556

0.444444

0.731707

0.97561

0

0.057971

69

4

25

17.25

0.630769

0

0.371429

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

a5e8091a9ec4a4ade6dec8a217e2dd1e16a02d02

10,741

py

Python

EvoScript.py

JonatasFontele/EvoScript

a6dfede9f73b703185335267669ea9cefe2a651a

[ "MIT" ]

null

EvoScript.py

JonatasFontele/EvoScript

a6dfede9f73b703185335267669ea9cefe2a651a

[ "MIT" ]

null

EvoScript.py

JonatasFontele/EvoScript

a6dfede9f73b703185335267669ea9cefe2a651a

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Evo Bracket Sort Script created by Jony Walker. # Script ordenador de chaves da Evo feito por Jony Walker. file = open('entrada.txt', 'r') #Abre e le um arquivo txt. lista = file.readlines() #Le todas as linhas salvas em file e salva na memória virtual de lista. file = ...

60.683616

164

0.627688

1,554

10,741

4.185328

0.1139

0.184348

0.335178

0.368696

0.84302

0.826107

0.816574

0.731242

0.726476

0.384225

0

0.088545

0.176706

10,741

176

165

61.028409

0.646952

0.059119

0

0.452941

0

0.791246

0

1

0

false

0

null

0

1

0

1

0

null

0

8

a5efe7cc6777357005860c4e136b5079c8e98320

23,403

py

Python

tesuract/tests/test_pceregression2.py

kennychowdhary/tesuract

70aee5128171b1ef7b3d71d2c833e8d4e47b21f5

[ "BSD-3-Clause" ]

3

2021-12-25T17:24:47.000Z

2022-01-28T19:05:58.000Z

tesuract/tests/test_pceregression2.py

kennychowdhary/tesuract

70aee5128171b1ef7b3d71d2c833e8d4e47b21f5

[ "BSD-3-Clause" ]

null

tesuract/tests/test_pceregression2.py

kennychowdhary/tesuract

70aee5128171b1ef7b3d71d2c833e8d4e47b21f5

[ "BSD-3-Clause" ]

1

2021-12-25T17:24:59.000Z

import tesuract import unittest import numpy as np import warnings, pdb import time as T import pytest from sklearn.metrics import mean_squared_error from sklearn.datasets import make_friedman1 from sklearn.model_selection import train_test_split from sklearn.model_selection import cross_val_score from sklearn.model_se...

36.913249

148

0.579797

2,808

23,403

4.598291

0.097578

0.069703

0.018742

0.046468

0.830932

0.80158

0.784696

0.776332

0.764715

0.753098

0

0.019809

0.311883

23,403

633

149

36.971564

0.78198

0.074435

0

0.705128

0

0.086166

0.002405

0

0.025641

1

0.056777

false

0

0.053114

0.001832

0.135531

0.051282

0

null

0

1

0

1

0

null

0

7

93a9178b203ac4ad55a9cd1908ae6892935f1e6b

104

py

Python

lib/config/__init__.py

yaopengUSTC/mbit-skin-cancer

a82a87b2abebaf724dbe2a7b7e833c434c1b56a0

[ "MIT" ]

3

2022-01-23T05:27:43.000Z

2022-03-08T07:29:25.000Z

lib/config/__init__.py

yaopengUSTC/mbit-skin-cancer

a82a87b2abebaf724dbe2a7b7e833c434c1b56a0

[ "MIT" ]

null

lib/config/__init__.py

yaopengUSTC/mbit-skin-cancer

a82a87b2abebaf724dbe2a7b7e833c434c1b56a0

[ "MIT" ]

null

from .default import _C as cfg from .default import update_config from .default import update_cfg_name

34.666667

36

0.826923

17

104

4.823529

0.529412

0.402439

0.621951

0.560976

0

0.144231

104

3

36

34.666667

0.921348

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

93e8dcbc41fec28a01b684a6f1241588421acf2e

1,061

py

Python

validation/explore_precision.py

dylancromer/OffsetNFW

4a93ca2f2d77f69bb1934aed2dbc4d5d3fe129c0

[ "BSD-3-Clause" ]

1

2019-03-25T19:22:35.000Z

validation/explore_precision.py

dylancromer/OffsetNFW

4a93ca2f2d77f69bb1934aed2dbc4d5d3fe129c0

[ "BSD-3-Clause" ]

1

2016-02-22T21:55:33.000Z

2016-03-02T23:52:39.000Z

validation/explore_precision.py

dylancromer/OffsetNFW

4a93ca2f2d77f69bb1934aed2dbc4d5d3fe129c0

[ "BSD-3-Clause" ]

1

2019-03-27T19:17:09.000Z

def main(): # Make a 10^14 c=4 halo, check radial binning # Make a 10^14 c=4 halo, check miscentering binning # Make a 10^14 c=2 halo, check radial binning # Make a 10^14 c=2 halo, check miscentering binning # Make a 10^14 c=6 halo, check radial binning # Make a 10^14 c=6 h...

48.227273

68

0.617342

182

1,061

3.598901

0.093407

0.137405

0.192366

0.363359

0.989313

0.960305

0.946565

0

0.123288

0.31197

1,061

21

69

50.52381

0.773973

0.852969

0

null

0

null

0

null

0

1

0

1

0

null

0

1

0

9

93fe977952994bc3a5c60e5d36a476c1d8dfadda

3,913

py

Python

test users/common_testing_tools.py

Tapawingo/FreeTakServer

30259fa0fb5a69bbf6606f06d9cd40a63d2aa4fd

[ "MIT" ]

27

2020-05-01T01:45:59.000Z

2020-07-03T00:17:13.000Z

test users/common_testing_tools.py

Tapawingo/FreeTakServer

30259fa0fb5a69bbf6606f06d9cd40a63d2aa4fd

[ "MIT" ]

34

2020-04-26T11:25:52.000Z

2020-07-03T21:06:34.000Z

test users/common_testing_tools.py

Tapawingo/FreeTakServer

30259fa0fb5a69bbf6606f06d9cd40a63d2aa4fd

[ "MIT" ]

15

2020-05-01T01:46:07.000Z

2020-07-03T12:14:04.000Z

import socket import time import asyncio import test_data import ssl class TCPClient: def __init__(self, ip, port): self.clientObj = test_data.TestCoTClient() self.sock = self.establish_socket_connection(ip=ip, port=port) def establish_socket_connection(self, ip, port): sock = socket.s...

32.07377

112

0.628163

476

3,913

4.915966

0.142857

0.078632

0.051282

0.053846

0.827778

0.794444

0.767949

0.737179

0.718376

0

0.010211

0.274214

3,913

122

113

32.07377

0.813732

0

0.754902

0

1

0.147059

false

0

0.04902

0.009804

0.352941

0

null

0

1

0

1

0

null

0

7

9e0f92273610f2e1461d03402ffd073dc4a04227

1,215

py

Python

box/render.py

vqv/R-Box

a63118fb4470450fd09a0ba6f2248ce0a4c9dccb

[ "MIT" ]

174

2015-01-07T19:28:03.000Z

2021-09-19T06:29:40.000Z

box/render.py

vqv/R-Box

a63118fb4470450fd09a0ba6f2248ce0a4c9dccb

[ "MIT" ]

113

2015-01-16T14:18:49.000Z

2020-01-07T15:00:59.000Z

box/render.py

vqv/R-Box

a63118fb4470450fd09a0ba6f2248ce0a4c9dccb

[ "MIT" ]

29

2015-01-19T05:45:52.000Z

2021-05-30T04:07:40.000Z

import sublime_plugin class RBoxRenderRmarkdownCommand(sublime_plugin.TextCommand): def is_enabled(self): return self.view.settings().get("syntax").endswith("R Markdown.sublime-syntax") def run(self, edit): cmd = "rmarkdown::render(\"$file\", encoding = \"UTF-8\")" self.view.run_comma...

36.818182

87

0.609053

144

1,215

4.993056

0.319444

0.066759

0.100139

0.112656

0.76217

0.720445

0.662031

0

0.003043

0.188477

1,215

32

88

37.96875

0.726166

0

0.619048

0

0.20297

0.109901

0

1

0.285714

false

0

0.047619

0.142857

0.619048

0

null

0

1

0

null

0

1

0

1

0

8

9e1b0718077e4d1c3ba6ce0b977bc69ae62f1cb5

145

py

Python

tests/conftest.py

cwstryker/skidl

b5854ecd71e9da70d5391ad67ab30a8985a61ee8

[ "MIT" ]

133

2015-08-13T17:33:57.000Z

2021-05-11T04:28:07.000Z

tests/conftest.py

cwstryker/skidl

b5854ecd71e9da70d5391ad67ab30a8985a61ee8

[ "MIT" ]

53

2015-08-17T18:53:50.000Z

2020-11-20T13:07:12.000Z

tests/conftest.py

cwstryker/skidl

b5854ecd71e9da70d5391ad67ab30a8985a61ee8

[ "MIT" ]

41

2015-08-18T00:48:01.000Z

2021-01-05T00:34:55.000Z

import os import os.path import pdb import sys sys.path.append(os.path.join(os.getcwd(), ".")) sys.path.append(os.path.join(os.getcwd(), ".."))

18.125

48

0.689655

25

145

4

0.32

0.18

0.26

0.3

0.62

0

0.089655

145

7

49

20.714286

0.757576

0

0.02069

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

f55646d0a45531f4886fe532b0ac3aa4708ee245

12,427

py

Python

src/aws_lambda/data_analysis_imdb_query.py

joshch1630/movie_data_platform

247a17b69703076f3b422d1bb811a409c0fa1e10

[ "MIT" ]

null

src/aws_lambda/data_analysis_imdb_query.py

joshch1630/movie_data_platform

247a17b69703076f3b422d1bb811a409c0fa1e10

[ "MIT" ]

null

src/aws_lambda/data_analysis_imdb_query.py

joshch1630/movie_data_platform

247a17b69703076f3b422d1bb811a409c0fa1e10

[ "MIT" ]

null

IMDB_DATA_TYPE = "imdb_type" IMDB_QUERY_DICT_LIST = [] ########################### ########### Year ########## ########################### # by year GET_BY_YEAR_IMDB_QUERY = """ SELECT startyear AS year, COUNT(1) AS movie_count, ROUND(AVG(averagerating), 2) AS avg_rating, SUM(numvotes) AS vote_count FROM "movie_datab...

44.067376

139

0.672085

1,793

12,427

4.373675

0.050753

0.093854

0.052793

0.021678

0.975516

0.962255

0.928972

0.896327

0.885616

0.869294

0

0.029333

0.19345

12,427

282

140

44.067376

0.753068

0.012151

0

0.768924

0

0.191235

0.772124

0.063756

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

1949af54c77b104f66a842c8a519bea3177c2b4e

35

py

Python

PythonExercicios/ex001.py

lordvinick/Python

c03fd08d4c204104bf0196b0bd129427fd2067ae

[ "MIT" ]

null

PythonExercicios/ex001.py

lordvinick/Python

c03fd08d4c204104bf0196b0bd129427fd2067ae

[ "MIT" ]

null

PythonExercicios/ex001.py

lordvinick/Python

c03fd08d4c204104bf0196b0bd129427fd2067ae

[ "MIT" ]

null

print("\033[32mOlá,mundo!\033[m")

11.666667

33

0.657143

6

35

3.833333

0.833333

0

0.242424

0.057143

35

2

34

17.5

0.454545

0

0.705882

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

1

null

0

1

0

1

0

9

5ffdbb0290ca45b403f6793ef4a2afd061cb5219

89

py

Python

test/sourceRelated.py

hongyehu/NeuralRG

ff4eb18f7f9e083dac6f3da3995f3f69ecf381e8

[ "Apache-2.0" ]

65

2018-03-15T20:39:35.000Z

2022-03-11T22:38:24.000Z

test/sourceRelated.py

arita37/NeuralRG

ff4eb18f7f9e083dac6f3da3995f3f69ecf381e8

[ "Apache-2.0" ]

null

test/sourceRelated.py

arita37/NeuralRG

ff4eb18f7f9e083dac6f3da3995f3f69ecf381e8

[ "Apache-2.0" ]

19

2018-06-07T16:19:57.000Z

2021-02-26T08:36:43.000Z

import numpy as np from numpy.testing import assert_array_almost_equal,assert_array_equal

44.5

70

0.898876

15

89

5

0.666667

0.293333

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0.078652

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70

44.5

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1

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1

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0

1

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1

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7

274bbc3590a629d51c88b6554ffaa3021e5b5989

155

py

Python

loldib/getratings/models/NA/na_taliyah/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_taliyah/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_taliyah/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from .na_taliyah_top import * from .na_taliyah_jng import * from .na_taliyah_mid import * from .na_taliyah_bot import * from .na_taliyah_sup import *

25.833333

30

0.774194

25

155

4.4

0.36

0.272727

0.590909

0.690909

0

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155

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0

1

0

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0

1

0

null

0

1

0

1

0

1

0

8

2786004eb6bb3bfd808b2df383268b407faadbaf

398

py

Python

composer/algorithms/selective_backprop/__init__.py

murthyn/composer

2a04cf387dd8558556500f7ef2bc6d3d131043d5

[ "Apache-2.0" ]

null

composer/algorithms/selective_backprop/__init__.py

murthyn/composer

2a04cf387dd8558556500f7ef2bc6d3d131043d5

[ "Apache-2.0" ]

null

composer/algorithms/selective_backprop/__init__.py

murthyn/composer

2a04cf387dd8558556500f7ef2bc6d3d131043d5

[ "Apache-2.0" ]

null

# Copyright 2021 MosaicML. All Rights Reserved. from composer.algorithms.selective_backprop.selective_backprop import SelectiveBackprop as SelectiveBackprop from composer.algorithms.selective_backprop.selective_backprop import select_using_loss as select_using_loss from composer.algorithms.selective_backprop.selective...

56.857143

108

0.889447

47

398

7.234043

0.382979

0.4

0.194118

0.273529

0.547059

0

0.010899

0.077889

398

6

109

66.333333

0.915531

0.113065

0

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0

true

0

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0.75

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

27c9f33ce7c930700e4526a10dcf616b03701194

158

py

Python

PBundler/entrypoints.py

fin/pbundler

2f46b05e767453eb3241900c1cba030e46d0a51c

[ "MIT" ]

1

2016-08-30T19:15:26.000Z

PBundler/entrypoints.py

fin/pbundler

2f46b05e767453eb3241900c1cba030e46d0a51c

[ "MIT" ]

null

PBundler/entrypoints.py

fin/pbundler

2f46b05e767453eb3241900c1cba030e46d0a51c

[ "MIT" ]

null

from PBundler import * def pbcli(): return PBCli().run(sys.argv) def pbpy(): argv = [sys.argv[0], "py"] + sys.argv[1:] return PBCli().run(argv)

17.555556

45

0.594937

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158

3.916667

0.541667

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0

0.166667

0.833333

0

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1

0

1

0

null

0

1

0

1

0

7

e31d5368d9b8362df6d737eb7e62585fd1c174da

76

py

Python

src/test.py

bbarnes52/serverless-ci-demo

9b2ebf5d35f910914671ffe80351e127ec7fba1b

[ "Apache-2.0" ]

null

src/test.py

bbarnes52/serverless-ci-demo

9b2ebf5d35f910914671ffe80351e127ec7fba1b

[ "Apache-2.0" ]

null

src/test.py

bbarnes52/serverless-ci-demo

9b2ebf5d35f910914671ffe80351e127ec7fba1b

[ "Apache-2.0" ]

null

"Simple hello world script.""" def hello_world(): return "Hello, world!"

15.2

30

0.684211

10

76

5.1

0.6

0.588235

0

0.157895

76

4

31

19

0.796875

0.342105

0

0.513158

0

1

0.333333

true

0

0.333333

0.666667

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1

0

1

0

null

0

1

0

1

0

7

8be21059d4a8ab153ddd74b73c33f97460667853

113

py

Python

openselfsup/version.py

Berkeley-Data/OpenSelfSup

221191b88d891de57725b149caf237ffef72e529

[ "Apache-2.0" ]

null

openselfsup/version.py

Berkeley-Data/OpenSelfSup

221191b88d891de57725b149caf237ffef72e529

[ "Apache-2.0" ]

6

2021-03-11T05:35:54.000Z

2021-04-03T22:25:11.000Z

openselfsup/version.py

Berkeley-Data/OpenSelfSup

221191b88d891de57725b149caf237ffef72e529

[ "Apache-2.0" ]

1

2021-07-04T00:47:46.000Z

# GENERATED VERSION FILE # TIME: Fri Mar 12 13:50:43 2021 __version__ = '0.3.0+30773fd' short_version = '0.3.0'

18.833333

32

0.699115

21

113

3.52381

0.714286

0.216216

0.243243

0.27027

0

0.242105

0.159292

113

5

33

22.6

0.536842

0.469027

0

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0

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0

1

0

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0

1

0

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1

0

1

0

1

0

1

0

null

0

7

476ea19bcba67d0aeb4dfab19eb7bd605642bb3e

15,147

py

Python

equation_verification/sequential_model.py

ForoughA/recursiveMemNet

70b97e61b30758bf79f1e1e34168d7cffcbecc92

[ "MIT" ]

14

2019-11-17T19:26:48.000Z

2021-05-31T00:06:31.000Z

equation_verification/sequential_model.py

ForoughA/recursiveMemNet

70b97e61b30758bf79f1e1e34168d7cffcbecc92

[ "MIT" ]

null

equation_verification/sequential_model.py

ForoughA/recursiveMemNet

70b97e61b30758bf79f1e1e34168d7cffcbecc92

[ "MIT" ]

2

2020-04-25T13:02:05.000Z

2021-01-10T15:38:21.000Z

from collections import OrderedDict import sys import math import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from equation_verification.sequential_model_constants import VOCAB, SYMBOL_CLASSES from equation_verification.constants import UNARY_FNS, BINARY_FNS, NUMBE...

42.909348

126

0.569156

1,799

15,147

4.625903

0.093941

0.046503

0.019226

0.018505

0.877914

0.870824

0.857606

0.850276

0.828407

0.814468

0

0.008622

0.310821

15,147

352

127

43.03125

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0.044035

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0.02316

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0.02963

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0.111111

0

null

0

1

0

1

0

null

0

7

4781340f13a95a3b35f233f7243e069cdc20b73d

482

py

Python

utils/movement.py

Mordrog/pyarcanoid

0f5ef282edd2557e32bc4fc0aadd8c53ac825a33

[ "MIT" ]

null

utils/movement.py

Mordrog/pyarcanoid

0f5ef282edd2557e32bc4fc0aadd8c53ac825a33

[ "MIT" ]

null

utils/movement.py

Mordrog/pyarcanoid

0f5ef282edd2557e32bc4fc0aadd8c53ac825a33

[ "MIT" ]

null

def is_moving_top_right(velocity): return velocity.x > 0 and velocity.y < 0 def is_moving_bottom_right(velocity): return velocity.x > 0 and velocity.y > 0 def is_moving_bottom_left(velocity): return velocity.x < 0 and velocity.y > 0 def is_moving_top_left(velocity): return velocity.x ...

21.909091

45

0.697095

74

482

4.324324

0.202703

0.09375

0.20625

0.359375

0.834375

0.759375

0.69375

0

0.026596

0.219917

482

22

46

21.909091

0.824468

0

1

0.5

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

1

0

7

9a3a6cde3e4f18a32adccdf24612fb0003d4470c

577,331

py

Python

hd_film_cehennemi_yorum_analizi.py

blackglowen/FilmCehennemiYorumAnalizi

5a8b623fb098765f1b975dd3fa6cfc828b19866f

[ "MIT" ]

null

hd_film_cehennemi_yorum_analizi.py

blackglowen/FilmCehennemiYorumAnalizi

5a8b623fb098765f1b975dd3fa6cfc828b19866f

[ "MIT" ]

null

hd_film_cehennemi_yorum_analizi.py

blackglowen/FilmCehennemiYorumAnalizi

5a8b623fb098765f1b975dd3fa6cfc828b19866f

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup import io """ yapılan işlemler kısaca; sunulan seçeneklerden biri seçilince o film türü için senaryo başlar. bu senaryoda film türünün bulunduğu sayfaya gider ve oradaki film adları çekilir. sürekli güncellemelere karşılık film sayfalarında artış veya azalış olabilir...

91.3065

474

0.690942

77,018

577,331

5.092004

0.013283

0.033995

0.026702

0.01251

0.979139

0.976146

0.974782

0.973221

0.970488

0.967249

0

0.009316

0.229291

577,331

6,323

475

91.3065

0.871834

0.517412

0

0.904601

0

0.143531

0.000672

0.000844

0

1

0.012241

false

0

0.000633

0

0.013508

0.108274

0

null

0

1

0

1

0

null

0

7

d0710abd16d6e7d55b00796a878547ae68e00b59

1,809

py

Python

query_examples.py

omyllymaki/table-viewer

abdb8d1243d393711b196d951058c29336108d99

[ "MIT" ]

null

query_examples.py

omyllymaki/table-viewer

abdb8d1243d393711b196d951058c29336108d99

[ "MIT" ]

null

query_examples.py

omyllymaki/table-viewer

abdb8d1243d393711b196d951058c29336108d99

[ "MIT" ]

null

import pandas as pd from tabulate import tabulate from src.filtering import filter_by_query df = pd.read_csv("test_data/simple_test_data.csv") print("Original data:") print(tabulate(df, headers=df.columns)) print() query = "tampere" df_filtered = filter_by_query(df, query) print("Query: ", query) print(tabulate(df_...

30.15

59

0.735766

269

1,809

4.743494

0.144981

0.219436

0.081505

0.094044

0.82837

0

0.015442

0.10503

1,809

59

60

30.661017

0.772699

0

0.673469

0

0.185185

0.016584

0

0.142857

1

0

false

0

0.061224

0

0.061224

0.489796

0

null

1

0

1

0

null

0

1

0

8

d0cc26f9253ec22493da885041cf12a7f8fd34ba

305

py

Python

Templates/FuncApp-Http-Py-OptionC/ToolsC2/toolsC2.py

mmaysami/azure-functions-python

e97b29204af83bc1fc81b886f841fe7b7bc0c8a3

[ "MIT" ]

null

Templates/FuncApp-Http-Py-OptionC/ToolsC2/toolsC2.py

mmaysami/azure-functions-python

e97b29204af83bc1fc81b886f841fe7b7bc0c8a3

[ "MIT" ]

null

Templates/FuncApp-Http-Py-OptionC/ToolsC2/toolsC2.py

mmaysami/azure-functions-python

e97b29204af83bc1fc81b886f841fe7b7bc0c8a3

[ "MIT" ]

null

import time def sum2(a, b): a = float(a) b = float(b) return a+b def sub2(a, b): a = float(a) b = float(b) return a-b def pow2(a, b): start = time.time() a = float(a) b = float(b) return a**b def div2(a, b): a = float(a) b = float(b) return a//b

11.730769

23

0.481967

57

305

2.578947

0.210526

0.163265

0.190476

0.217687

0.70068

0

0.020305

0.354098

305

25

24

12.2

0.725888

0

0.444444

0

1

0.222222

false

0

0.055556

0

0.5

0

null

0

1

0

1

0

null

0

1

0

8

d0f382424e721e57f17d3885179cf3af59477c19

191

py

Python

best_practice/models/__init__.py

ustcsky/recommenders

64f0dd4653cf7f1d687c45c61807841415e111c7

[ "MIT" ]

null

best_practice/models/__init__.py

ustcsky/recommenders

64f0dd4653cf7f1d687c45c61807841415e111c7

[ "MIT" ]

null

best_practice/models/__init__.py

ustcsky/recommenders

64f0dd4653cf7f1d687c45c61807841415e111c7

[ "MIT" ]

null

from .news_net import NewsNet from .user_net import UserNet from .squeezenet import SqueezeNet # from torchvision.models import InceptinV3 # from torchvision.models import alexnet as AlexNet

31.833333

51

0.837696

26

191

6.076923

0.5

0.113924

0.265823

0.341772

0

0.005988

0.125654

191

5

52

38.2

0.94012

0.47644

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

ef899202b5102fe6f65a80a1dbfe4392c7058eae

24,016

py

Python

models/utils.py

lishuliang/Emotion-Recognition

a8aea1b71b2508e6157410089b20ab463fe901f5

[ "MIT" ]

1

2019-03-16T08:11:53.000Z

models/utils.py

lishuliang/Emotion-Recognition

a8aea1b71b2508e6157410089b20ab463fe901f5

[ "MIT" ]

null

models/utils.py

lishuliang/Emotion-Recognition

a8aea1b71b2508e6157410089b20ab463fe901f5

[ "MIT" ]

null

import tensorflow as tf def bias_var(out_channels, init_method): initial_value = tf.constant(0.0, shape=[out_channels]) biases = tf.Variable(initial_value) return biases def conv_var(kernel_size, in_channels, out_channels, init_method, name): shape = [kernel_size[0], kernel_size[1], in_channels, ou...

45.058161

121

0.607512

3,367

24,016

4.010692

0.043362

0.066351

0.068128

0.025918

0.907361

0.90388

0.893217

0.881739

0.87848

0.865966

0

0.018556

0.275192

24,016

532

122

45.142857

0.757224

0.036434

0

0.835411

0

0.011704

0

0.009975

0

0.014963

1

0.027431

false

0

0.004988

0

0.064838

0

null

0

1

0

1

0

null

0

7

efc13e8c967945c14da12cf057f413e4f797d246

45

py

Python

unet/model/__init__.py

SyPRX/u-net

f542cfc108c465046bebeee29b1bd47d22c83a1b

[ "MIT" ]

1

2020-05-05T13:46:39.000Z

unet/model/__init__.py

SyPRX/u-net

f542cfc108c465046bebeee29b1bd47d22c83a1b

[ "MIT" ]

2

2020-05-11T07:25:16.000Z

2022-02-10T01:47:42.000Z

unet/model/__init__.py

SyPRX/u-net

f542cfc108c465046bebeee29b1bd47d22c83a1b

[ "MIT" ]

null

from unet.model.manager import Model_manager

22.5

44

0.866667

7

45

5.428571

0.714286

0.631579

0

0.088889

45

1

45

0.926829

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

5605d4e3b6151d8196f443b488a15956198a4c66

109,684

py

Python

src/api/colors/green.py

Gummybearr/cf-ratings

04d1defa49e3f2babcb6cce1bf0fd1c4b046530c

[ "MIT" ]

null

src/api/colors/green.py

Gummybearr/cf-ratings

04d1defa49e3f2babcb6cce1bf0fd1c4b046530c

[ "MIT" ]

null

src/api/colors/green.py

Gummybearr/cf-ratings

04d1defa49e3f2babcb6cce1bf0fd1c4b046530c

[ "MIT" ]

null

green = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAk0AAAElCAYAAAD5tdbyAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAAB3RJTUUH5AsWBwcTjRML+gAAAAFvck5UAc+id5oAAIAASURBVHja7P1tzL5flxaErf1/nmFgEGqiQFPeKkRMfQGlGpsg+sHUNpZYk9o2pV9akn5qGvmgiV/80thvTVqa9kMraWKL1...

109,684

0.96148

4,067

109,684

25.930416

0.951315

0.000683

0.000834

0.000863

0.001498

0

0.161057

0.000018

109,684

1

109,684

0.800441

0

1

0.9999

0

1

0

1

0

false

0

1

null

0

1

0

1

null

1

0

8

4be4d5c8dca76978aeb7851eb68822f49cbcefeb

4,610

py

Python

tests/core/test_disjoint_set.py

dekespo/AI_ToolKit

54c7784693189aa0c5d95d48666876f9a18cf922

[ "Apache-2.0" ]

null

tests/core/test_disjoint_set.py

dekespo/AI_ToolKit

54c7784693189aa0c5d95d48666876f9a18cf922

[ "Apache-2.0" ]

56

2018-03-03T14:38:31.000Z

2019-12-29T22:23:25.000Z

tests/core/test_disjoint_set.py

dekespo/AI_ToolKit

54c7784693189aa0c5d95d48666876f9a18cf922

[ "Apache-2.0" ]

null

import unittest from dekespo_ai_sdk.core.disjoint_set import DisjointSet class DisjointSetTest(unittest.TestCase): def test_element(self): element1 = DisjointSet.Element(3) self.assertEqual(element1.parent, element1) self.assertEqual(element1.id_, 3) self.assertEqual(element1.size...

53.604651

85

0.652495

671

4,610

4.280179

0.086438

0.210655

0.205084

0.212047

0.777159

0.75

0.739554

0.737813

0.726671

0.715877

0

0.043914

0.199783

4,610

85

86

54.235294

0.734616

0.021909

0

0.613333

0

0.164557

0

0.506667

1

0.053333

false

0

0.026667

0

0.093333

0

null

1

0

1

0

null

0

1

0

9

ef43e37b3f3dd1fce186167a99e5d95890f04f75

92

py

Python

tests/test_sdf_net.py

soundmaking/sdfspu

164af2602d07b18c45a8182cd5e9638628c7e165

[ "MIT" ]

null

tests/test_sdf_net.py

soundmaking/sdfspu

164af2602d07b18c45a8182cd5e9638628c7e165

[ "MIT" ]

null

tests/test_sdf_net.py

soundmaking/sdfspu

164af2602d07b18c45a8182cd5e9638628c7e165

[ "MIT" ]

null

from sdfspu.sdf_net import get_ip def test_get_ip(): assert isinstance(get_ip(), str)

15.333333

36

0.73913

16

92

3.9375

0.75

0.238095

0

0.163043

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32a1b5b134b7ed49a4f856350dca3162571c6ea0

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py

Python

savepointradio/radio/migrations/0001_initial.py

RecursiveGreen/spradio-django2

ef7c6e535fdf4bf096b0a1669005600fa8e5ac92

[ "MIT" ]

null

savepointradio/radio/migrations/0001_initial.py

RecursiveGreen/spradio-django2

ef7c6e535fdf4bf096b0a1669005600fa8e5ac92

[ "MIT" ]

null

savepointradio/radio/migrations/0001_initial.py

RecursiveGreen/spradio-django2

ef7c6e535fdf4bf096b0a1669005600fa8e5ac92

[ "MIT" ]

null

# Generated by Django 2.0 on 2018-01-05 19:40 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Album', fields=[ ...

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086a983d4895948252f70c89bdef8187e7bd0202

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py

Python

Archive/TF_VERSION_MASKRCNN/datasets/ellipse/utils/__init__.py

iphyer/DefectDetection-MaskRCNN

7d1faf99bb2c4ffdbbaaf4544a996b97b2f3a2f9

[ "MIT" ]

null

Archive/TF_VERSION_MASKRCNN/datasets/ellipse/utils/__init__.py

iphyer/DefectDetection-MaskRCNN

7d1faf99bb2c4ffdbbaaf4544a996b97b2f3a2f9

[ "MIT" ]

null

Archive/TF_VERSION_MASKRCNN/datasets/ellipse/utils/__init__.py

iphyer/DefectDetection-MaskRCNN

7d1faf99bb2c4ffdbbaaf4544a996b97b2f3a2f9

[ "MIT" ]

null

from .DefectDataset import DefectDetectionDataset from .add_transforms import rotate_bbox, random_resize from .imageUtils import * from .postProcessing import * from .evaluation import * from .add_transforms import *

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08a9f611b5a23c06374467218ae0dd6b72e6eed7

211

py

Python

exp_configs/__init__.py

JanAlexanderPersonal/covid19_weak_supervision

5599e48c9945f1e08a2731740bc8f6e44a031703

[ "Apache-2.0" ]

null

exp_configs/__init__.py

JanAlexanderPersonal/covid19_weak_supervision

5599e48c9945f1e08a2731740bc8f6e44a031703

[ "Apache-2.0" ]

null

exp_configs/__init__.py

JanAlexanderPersonal/covid19_weak_supervision

5599e48c9945f1e08a2731740bc8f6e44a031703

[ "Apache-2.0" ]

null

from . import baseline_exps, weakly_exps, weakly_exps_pau EXP_GROUPS = {} EXP_GROUPS.update(weakly_exps.EXP_GROUPS) #EXP_GROUPS.update(weakly_exps_pau.EXP_GROUPS) #EXP_GROUPS.update(weakly_exps_pau.EXP_GROUPS)

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3ee630ab7ff5f2b360ea0e378fe03d5766d9c7ee

262

py

Python

data/scrape/fields/utils.py

jamesrharwood/journal-guidelines

fe6c0a6d3c0443df6fc816b9503fad24459ddb4a

[ "MIT" ]

null

data/scrape/fields/utils.py

jamesrharwood/journal-guidelines

fe6c0a6d3c0443df6fc816b9503fad24459ddb4a

[ "MIT" ]

null

data/scrape/fields/utils.py

jamesrharwood/journal-guidelines

fe6c0a6d3c0443df6fc816b9503fad24459ddb4a

[ "MIT" ]

null

def preceeded_by(string): return r"(?<={})".format(string) def followed_by(string): return r"(?={})".format(string) def not_preceeded_by(string): return r"(?<!{})".format(string) def not_followed_by(string): return r"(?!{})".format(string)

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eb3a81b4ec648c94e97156ca578358c65e7eea0f

2,349

py

Python

geniesp/bpc_config.py

Sage-Bionetworks/GENIE-Sponsored-Projects

e34be3ece96144aa525c7281738736d3c5ef93cb

[ "MIT" ]

1

2022-03-10T21:45:53.000Z

geniesp/bpc_config.py

Sage-Bionetworks/GENIE-Sponsored-Projects

e34be3ece96144aa525c7281738736d3c5ef93cb

[ "MIT" ]

36

2020-09-23T18:16:29.000Z

2022-03-30T20:56:45.000Z

geniesp/bpc_config.py

Sage-Bionetworks/GENIE-Sponsored-Projects

e34be3ece96144aa525c7281738736d3c5ef93cb

[ "MIT" ]

null

""" BPC configuration classes >>> git clone https://github.com/cBioPortal/cbioportal.git >>> python run_bpc.py NSCLC ../../cbioportal 1.1-consortium --staging """ from .bpc_redcap_export_mapping import BpcProjectRunner class Brca(BpcProjectRunner): """NSCLC BPC sponsored project""" # Sponsorted project name ...

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de1d2fc2bfadedb7e6cdb9487f6655a95c475516

7,827

py

Python

tests/src/test_mark.py

U8NWXD/scorevideo_lib

2af8c9ce6adc43af502aaa2a987ecc349b8ac16c

[ "BSD-3-Clause" ]

null

tests/src/test_mark.py

U8NWXD/scorevideo_lib

2af8c9ce6adc43af502aaa2a987ecc349b8ac16c

[ "BSD-3-Clause" ]

1

2018-08-06T00:00:43.000Z

tests/src/test_mark.py

U8NWXD/scorevideo_lib

2af8c9ce6adc43af502aaa2a987ecc349b8ac16c

[ "BSD-3-Clause" ]

1

2020-06-05T00:38:23.000Z

# This file is part of scorevideo_lib: A library for working with scorevideo # Use of this file is governed by the license in LICENSE.txt. """Unit tests for the :py:class:Mark class """ from datetime import timedelta import pytest from scorevideo_lib.parse_log import Mark # pragma pylint: disable=missing-docstring ...

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null

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1

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de262bed6c5027f229c60be06dc03acdaf77ece2

18,678

py

Python

sohu_matching/src/data.py

MingjieWang0606/2021-Sohu-Text-Matching-TOP2

830a286cc978cb285cb63ae5a457e1d3813fa68a

[ "MIT" ]

5

2021-06-20T05:06:53.000Z

2022-03-28T16:33:31.000Z

sohu_matching/src/data.py

MingjieWang0606/2021-Sohu-Text-Matching-TOP2

830a286cc978cb285cb63ae5a457e1d3813fa68a

[ "MIT" ]

null

sohu_matching/src/data.py

MingjieWang0606/2021-Sohu-Text-Matching-TOP2

830a286cc978cb285cb63ae5a457e1d3813fa68a

[ "MIT" ]

2

2021-09-14T01:33:22.000Z

2021-12-09T03:41:40.000Z

import pandas as pd import torch from torch.utils.data import Dataset, DataLoader from transformers import BertTokenizer, AutoTokenizer from utils import * from sklearn.model_selection import train_test_split import json from tqdm import tqdm class SentencePairDataset(Dataset): def __init__(self, file_dir, is_tra...

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null

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7

de2d0a75220cadd10b4a09832e7fec500a934829

17,625

py

Python

python/tests/test_ppo.py

YuMurata/my_ml_rl

a76711175fb85a390543b742fd5b978a8a5d9aa0

[ "Apache-2.0" ]

null

python/tests/test_ppo.py

YuMurata/my_ml_rl

a76711175fb85a390543b742fd5b978a8a5d9aa0

[ "Apache-2.0" ]

null

python/tests/test_ppo.py

YuMurata/my_ml_rl

a76711175fb85a390543b742fd5b978a8a5d9aa0

[ "Apache-2.0" ]

null

import unittest.mock as mock import pytest import numpy as np import tensorflow as tf from unitytrainers.ppo.models import PPOModel <<<<<<< HEAD from unityagents import UnityEnvironment def test_ppo_model_continuous(): c_action_c_state_start = '''{ "AcademyName": "RealFakeAcademy", "resetParameters"...

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17,625

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0.92879

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8

de5e6b38945ceb4ad74e403f644b4878cb7a673b

23,918

py

Python

RumourEval2019Models/Bert-MFajcik/task_A/datasets/RumourEvalDataset_BERT.py

isspek/veracity-detection

9368309722bead209e49e52c206758e3d173092a

[ "MIT" ]

null

RumourEval2019Models/Bert-MFajcik/task_A/datasets/RumourEvalDataset_BERT.py

isspek/veracity-detection

9368309722bead209e49e52c206758e3d173092a

[ "MIT" ]

null

RumourEval2019Models/Bert-MFajcik/task_A/datasets/RumourEvalDataset_BERT.py

isspek/veracity-detection

9368309722bead209e49e52c206758e3d173092a

[ "MIT" ]

null

__author__ = "Martin Fajčík" import json import torch import torchtext as tt from typing import List, Tuple from pytorch_pretrained_bert import BertTokenizer from torchtext.data import Example from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer """ This file contains implementation of Bert-MFajcik d...

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23,918

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0

null

0

1

0

1

0

null

0

7

de90667492bf46a11d12651dcbf18a0aa4a010d4

11,785

py

Python

app/test/integrationtest/test_executive_type.py

michalkoziara/IoT-RESTful-Webservice

ecb0f3e09cded3190f3646e5cd6c913056d94981

[ "bzip2-1.0.6" ]

2

2021-09-24T02:45:32.000Z

2021-11-15T09:44:44.000Z

app/test/integrationtest/test_executive_type.py

PKramek/IoT-RESTful-Webservice-1

ecb0f3e09cded3190f3646e5cd6c913056d94981

[ "bzip2-1.0.6" ]

null

app/test/integrationtest/test_executive_type.py

PKramek/IoT-RESTful-Webservice-1

ecb0f3e09cded3190f3646e5cd6c913056d94981

[ "bzip2-1.0.6" ]

1

2021-09-11T11:47:32.000Z

import json from app.main.model.executive_type import ExecutiveType from app.main.repository.device_group_repository import DeviceGroupRepository from app.main.util.auth_utils import Auth from app.main.util.constants import Constants def test_get_executive_type_info_should_return_sensor_info_when_valid_request( ...

32.111717

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1

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de9bf447279503512a672c0f905e7872d6795c28

403

py

Python

selecting_OOD_detector/__init__.py

the-mama-ai/selecting_OOD_detector

1708dd2e46826c6c7a641e5a2259c7003fd24584

[ "MIT" ]

null

selecting_OOD_detector/__init__.py

the-mama-ai/selecting_OOD_detector

1708dd2e46826c6c7a641e5a2259c7003fd24584

[ "MIT" ]

null

selecting_OOD_detector/__init__.py

the-mama-ai/selecting_OOD_detector

1708dd2e46826c6c7a641e5a2259c7003fd24584

[ "MIT" ]

null

try: from .pipeline.ood_pipeline import OODPipeline from .pipeline.tuner import HyperparameterTuner except: try: from pipeline.ood_pipeline import OODPipeline from pipeline.tuner import HyperparameterTuner except: from selecting_OOD_detector.pipeline.ood_pipeline import OODPipe...

31

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0.901316

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1

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7

dee7598a6f09212b97ca7183b2a6e1fe6b426aff

16,007

py

Python

data_object/tests/test_data_object.py

PawelJ-PL/data_object

e33f7a0bf7a7a4aa9d5cb1fd7526c2ba63a00fdb

[ "MIT" ]

1

2018-01-25T09:14:44.000Z

data_object/tests/test_data_object.py

PawelJ-PL/data_object

e33f7a0bf7a7a4aa9d5cb1fd7526c2ba63a00fdb

[ "MIT" ]

null

data_object/tests/test_data_object.py

PawelJ-PL/data_object

e33f7a0bf7a7a4aa9d5cb1fd7526c2ba63a00fdb

[ "MIT" ]

null

from datetime import datetime from enum import Enum from unittest import TestCase from data_object import DataObject from data_object.exceptions import ConstructorKeywordArgumentNotFound class TestDataObject(TestCase): def test_should_create_data_object_and_get_as_string(self): # given class Sim...

28.789568

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16,007

4.955908

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0.828826

0.796085

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0.009697

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0

1

0

8

dee89f88c3d7fead9f34abd3f3c5ba8c51f8544c

2,045

py

Python

basic/points_plot.py

rkneusel9/SwarmOptimization

5445b6f90ab49339ca0fdb71e98d44e6827c95a8

[ "MIT" ]

2

2022-01-11T17:14:14.000Z

2022-03-07T10:22:32.000Z

basic/points_plot.py

rkneusel9/SwarmOptimization

5445b6f90ab49339ca0fdb71e98d44e6827c95a8

[ "MIT" ]

null

basic/points_plot.py

rkneusel9/SwarmOptimization

5445b6f90ab49339ca0fdb71e98d44e6827c95a8

[ "MIT" ]

1

2021-11-24T01:11:49.000Z

import numpy as np import matplotlib.pylab as plt ro = np.load("points_ro_resample.npy") pso = np.load("points_pso_resample.npy") jaya= np.load("points_jaya_resample.npy") gwo = np.load("points_gwo_resample.npy") gwo2= np.load("points_gwo_n4_resample.npy") x = np.arange(100) plt.plot(x,ro, color='r') plt.plot(x,pso,...

32.983871

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0.12112

0.09084

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0.719152

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null

0

7

723c96b698908e6fdea81165cc9edba869fd29f2

733

py

Python

src/python/nimbusml/datasets/__init__.py

michaelgsharp/NimbusML

50031157265f49eec85d27fe67582d9ddaf01ef9

[ "MIT" ]

134

2018-11-01T22:15:24.000Z

2019-05-04T11:30:08.000Z

src/python/nimbusml/datasets/__init__.py

michaelgsharp/NimbusML

50031157265f49eec85d27fe67582d9ddaf01ef9

[ "MIT" ]

226

2019-05-07T19:00:44.000Z

2021-01-06T07:59:48.000Z

src/python/nimbusml/datasets/__init__.py

michaelgsharp/NimbusML

50031157265f49eec85d27fe67582d9ddaf01ef9

[ "MIT" ]

43

2019-05-15T20:19:42.000Z

2022-03-30T10:26:07.000Z

from .datasets import get_dataset, available_datasets, \ DataSetIris, DataSetInfert, Topics, Timeseries, \ DataSetAirQuality, WikiDetox_Train, WikiDetox_Test, \ Generated_Twitter_Train, Generated_Twitter_Test, \ Generated_Ticket_Train, Generated_Ticket_Test, \ Uci_Train, Uci_Test, MSLTR_Train, MSLTR...

36.65

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a0f40e31370dd08517214107b2eb581ee62cbb7b

102

py

Python

dazzler/electron/_runtime.py

T4rk1n/dazzler

69c49422dc19c910445ab265b1d3481041de8f43

[ "MIT" ]

15

2019-12-19T11:57:30.000Z

2021-11-15T23:34:41.000Z

dazzler/electron/_runtime.py

T4rk1n/dazzler

69c49422dc19c910445ab265b1d3481041de8f43

[ "MIT" ]

196

2019-09-21T15:10:14.000Z

2022-03-31T11:07:48.000Z

dazzler/electron/_runtime.py

T4rk1n/dazzler

69c49422dc19c910445ab265b1d3481041de8f43

[ "MIT" ]

7

2019-10-30T19:38:15.000Z

2021-12-01T04:54:16.000Z

import sys def is_compiled(): return getattr(sys, 'frozen', False) and hasattr(sys, '_MEIPASS')

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7

a0f9b5ff92b5b9c0305e539129849a7d5360c9c7

134

py

Python

Archive/aupyom-master/aupyom/util.py

MatthijsBrem/wheelchair-design-platform

7d1d574bec793a1737669e134b650c0f16eefd5e

[ "MIT" ]

null

Archive/aupyom-master/aupyom/util.py

MatthijsBrem/wheelchair-design-platform

7d1d574bec793a1737669e134b650c0f16eefd5e

[ "MIT" ]

null

Archive/aupyom-master/aupyom/util.py

MatthijsBrem/wheelchair-design-platform

7d1d574bec793a1737669e134b650c0f16eefd5e

[ "MIT" ]

null

import pkg_resources def example_audio_file(): return pkg_resources.resource_filename(__name__, "example_data/Tom's Dinner.wav")

26.8

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null

0

1

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8

c22755c3ea41acfd9a7a02f1982c58e46a06136a

543

py

Python

tests/conftest.py

tomochikahara/configurl.py

e92b56b529c1897fde3e395c15963d1c1b9ebc89

[ "MIT" ]

null

tests/conftest.py

tomochikahara/configurl.py

e92b56b529c1897fde3e395c15963d1c1b9ebc89

[ "MIT" ]

null

tests/conftest.py

tomochikahara/configurl.py

e92b56b529c1897fde3e395c15963d1c1b9ebc89

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pytest from . import utils @pytest.fixture() def scheme(): return utils.random_string() @pytest.fixture() def user(): return utils.random_string() @pytest.fixture() def password(): return utils.random_string() @pytest.fixture() def hostname(): return utils.random_...

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543

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null

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1

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1

0

1

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7

df9ef906e55ad65f5ee50f1a62453cc401f77d1e

46,301

py

Python

OMG/env/env_wrapper.py

Webbah/sec-for-reinforcement-learning

19db622dce4963d25cb1b6e4ae12ddf98b6d27d2

[ "MIT" ]

2

2021-12-16T12:49:26.000Z

2022-01-28T19:18:43.000Z

OMG/env/env_wrapper.py

Webbah/sec-for-reinforcement-learning

19db622dce4963d25cb1b6e4ae12ddf98b6d27d2

[ "MIT" ]

null

OMG/env/env_wrapper.py

Webbah/sec-for-reinforcement-learning

19db622dce4963d25cb1b6e4ae12ddf98b6d27d2

[ "MIT" ]

null

import platform from functools import partial from typing import Union import gym import matplotlib.pyplot as plt import numpy as np import pandas as pd from openmodelica_microgrid_gym.util import Fastqueue from openmodelica_microgrid_gym.util.transforms import dq0_to_abc, abc_to_dq0, abc_to_alpha_beta from stable_bas...

43.63902

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null

0

1

0

1

0

null

0

7

dfe13d4f5852b24009308c4ad9a8a657cb3b2fa1

3,453

py

Python

test.py

MIAWU-jojo/NLP-MyRetro-jieba

6f80ed442b63a15ff7f12c42e53f6e2340a50ced

[ "MIT" ]

null

test.py

MIAWU-jojo/NLP-MyRetro-jieba

6f80ed442b63a15ff7f12c42e53f6e2340a50ced

[ "MIT" ]

null

test.py

MIAWU-jojo/NLP-MyRetro-jieba

6f80ed442b63a15ff7f12c42e53f6e2340a50ced

[ "MIT" ]

null

import os import jieba.posseg from Postag import cut_main from Tokenizer import gt from timeit import default_timer as timer if __name__ == '__main__': # 分词标注测评 ok = 0 Precision = 0 Recall = 0 tic = timer() with open('test.txt', 'r', encoding='utf-8') as f: while True: ...

29.767241

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3,453

3.986842

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0.034323

0.044884

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0.015912

0.417608

3,453

115

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0.065789

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0

null

0

1

0

1

0

null

0

7

dff7b6497b136ced7711d04edb93b09e7a108ead

183

py

Python

tests/metrics/__init__.py

christofer-f/pytorch-lightning

01f131665aa5a7c86b984ece7214390076fd2a98

[ "Apache-2.0" ]

null

tests/metrics/__init__.py

christofer-f/pytorch-lightning

01f131665aa5a7c86b984ece7214390076fd2a98

[ "Apache-2.0" ]

null

tests/metrics/__init__.py

christofer-f/pytorch-lightning

01f131665aa5a7c86b984ece7214390076fd2a98

[ "Apache-2.0" ]

null

import os from tests.metrics.utils import compute_batch, setup_ddp from tests.metrics.utils import NUM_BATCHES, NUM_PROCESSES, BATCH_SIZE from tests.metrics.test_metric import Dummy

30.5

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0.852459

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183

5.172414

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0.18

0.32

0.28

0.36

0

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5

71

36.6

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1

0

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1

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1

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1

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1

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1

0

null

0

1

0

1

0

1

0

7

260ca1f24558aebeb52721658214f8b435e0a14c

91,715

py

Python

app.py

dhmodi/medical-affair-assistant

e8fe0e3053f8a7fae03b699a7694ba4ca9e8c75d

[ "Apache-2.0" ]

null

app.py

dhmodi/medical-affair-assistant

e8fe0e3053f8a7fae03b699a7694ba4ca9e8c75d

[ "Apache-2.0" ]

null

app.py

dhmodi/medical-affair-assistant

e8fe0e3053f8a7fae03b699a7694ba4ca9e8c75d

[ "Apache-2.0" ]

null

#!/usr/bin/env python from __future__ import print_function from future.standard_library import install_aliases import cx_Oracle install_aliases() import json import os import sys import pandas as pd sys.path.append('cognitiveSQL') from flask import Flask,session from flask import request from flask import make_respon...

56.232373

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91,715

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false

0.008217

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0

null

0

1

0

1

0

null

0

7

26253ef2c14a27576629d61f62c4b678159d373d

113

py

Python

reptile/models/__init__.py

kartoza/kbims-reptile

4273857d7a2b8f373622f8e06149581bd43703c5

[ "MIT" ]

null

reptile/models/__init__.py

kartoza/kbims-reptile

4273857d7a2b8f373622f8e06149581bd43703c5

[ "MIT" ]

null

reptile/models/__init__.py

kartoza/kbims-reptile

4273857d7a2b8f373622f8e06149581bd43703c5

[ "MIT" ]

null

from reptile.models.reptile_collection_record import * # noqa from reptile.models.csv_document import * # noqa

37.666667

62

0.80531

15

113

5.866667

0.6

0.25

0.386364

0

0.123894

113

2

63

56.5

0.888889

0.079646

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

2691cb48325c0dab0b178d9d535c1c07fa1258c3

68,625

py

Python

benchmarks/SimResults/combinations_spec_ml_deepnet/cmp_calculixlibquantumzeusmpsjeng/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/combinations_spec_ml_deepnet/cmp_calculixlibquantumzeusmpsjeng/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/combinations_spec_ml_deepnet/cmp_calculixlibquantumzeusmpsjeng/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate...

75.082057

124

0.682157

8,082

68,625

5.786315

0.0683

0.123511

0.112905

0.093403

0.937453

0.928857

0.916818

0.885363

0.859938

0.841634

0

0.132209

0.224277

68,625

914

125

75.082057

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0.642232

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1

0

false

0

null

0

1

0

1

0

null

0

7

26acf23bc5d24877e88ff73f48e535513d791bab

4,930

py

Python

merrill_feature/feature_selection/iterative.py

edazizovv/merrill_feature

59c7fd10e833a3376ee8ca3c631a73f0a2357c4f

[ "MIT" ]

null

merrill_feature/feature_selection/iterative.py

edazizovv/merrill_feature

59c7fd10e833a3376ee8ca3c631a73f0a2357c4f

[ "MIT" ]

null

merrill_feature/feature_selection/iterative.py

edazizovv/merrill_feature

59c7fd10e833a3376ee8ca3c631a73f0a2357c4f

[ "MIT" ]

null

# # import numpy # # def up(x_train, y_train, x_test, y_test, model, model_kwg, on): done = False yield_on_train__best = 0 var_on_train__best = -1 mask = [False] * x_train.shape[1] codes = numpy.array(numpy.arange(x_train.shape[1])) while not done: improved_ix = [] imp...

31.202532

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4,930

4.092869

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0.136143

0.092383

0.938412

0.920583

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0

0.008657

0.367343

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131

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1

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0

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0.04902

0

null

0

1

0

1

0

null

0

7

26b00337ce380266ba83683fbe0b62d87dd1b24b

53

py

Python

example_python_proj/__init__.py

ryansingman/example-python-proj

9c165ce7262e6f27b1d561c7d1e132b01f3f1f1d

[ "MIT" ]

null

example_python_proj/__init__.py

ryansingman/example-python-proj

9c165ce7262e6f27b1d561c7d1e132b01f3f1f1d

[ "MIT" ]

null

example_python_proj/__init__.py

ryansingman/example-python-proj

9c165ce7262e6f27b1d561c7d1e132b01f3f1f1d

[ "MIT" ]

1

2021-04-14T23:14:19.000Z

from .my_print import my_print from .add import add

13.25

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0.5

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true

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1

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1

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1

0

7

f817e3aca8793fa3bb72aea09f42c9f9768c22c0

178

py

Python

kolibri/core/models.py

arceduardvincent/kolibri

26073dda2569bb38bfe1e08ba486e96f650d10ce

[ "MIT" ]

null

kolibri/core/models.py

arceduardvincent/kolibri

26073dda2569bb38bfe1e08ba486e96f650d10ce

[ "MIT" ]

3

2016-05-24T21:12:01.000Z

2017-03-09T22:43:08.000Z

kolibri/core/models.py

DXCanas/kolibri

4571fc5e5482a2dc9cd8f93dd45222a69d8a68b4

[ "MIT" ]

1

2021-07-26T11:38:29.000Z

from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals from kolibri.plugins import registry registry.initialize()

22.25

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6.363636

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0.342857

0

0.106742

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0

1

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0.2

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0

null

0

1

0

1

0

1

0

7

f874daa826fde3a371eab605422481cf7db37540

8,244

py

Python

fit_qs.py

gdbbzq/Pynamics_demo

fdf5cba3477ce00b3eea42d7b6f532ceed358409

[ "MIT" ]

null

fit_qs.py

gdbbzq/Pynamics_demo

fdf5cba3477ce00b3eea42d7b6f532ceed358409

[ "MIT" ]

null

fit_qs.py

gdbbzq/Pynamics_demo

fdf5cba3477ce00b3eea42d7b6f532ceed358409

[ "MIT" ]

null

# [t,tinitial,tfinal,tstep,qAa1,qAb1,qAc1,qAa2,qAb2,qAc2,qAa3,qAb3,qAc3,qBa1,qBb1,qBc1,qBa2,qBb2,qBc2,qBa3,qBb3,qBc3,qCa1,qCb1,qCc1,qCa2,qCb2,qCc2,qCa3,qCb3,qCc3] = fit_10() import numpy def fit_10(time_step): #fit for 10mm/s tinitial = 0 tfinal = 20 tstep = time_step t = numpy.r_[tiniti...

56.465753

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null

0

9

f880a8f7be9fc0f712a73644df4bb3a6f7d04ae0

16,489

py

Python

Limix_QTL/qtl_parse_args.py

Bonder-MJ/limix_qtl

71f18f4e39cdba0f0e6dc59713b83701599bc86f

[ "Apache-2.0" ]

7

2020-05-17T18:36:50.000Z

2021-12-01T11:24:24.000Z

Limix_QTL/qtl_parse_args.py

Bonder-MJ/limix_qtl

71f18f4e39cdba0f0e6dc59713b83701599bc86f

[ "Apache-2.0" ]

2

2021-04-27T19:15:17.000Z

2022-01-13T09:51:27.000Z

Limix_QTL/qtl_parse_args.py

Bonder-MJ/limix_qtl

71f18f4e39cdba0f0e6dc59713b83701599bc86f

[ "Apache-2.0" ]

6

2019-12-04T09:57:28.000Z

2022-03-14T02:20:10.000Z

import argparse def get_args(): parser = argparse.ArgumentParser(description='Run QTL analysis given genotype, phenotype, and annotation.') parser.add_argument('--bgen','-bg',required=False) parser.add_argument('--plink','-pg',required=False) parser.add_argument('--annotation_file','-af', required=True...

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0.123006

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0.912523

0.909679

0.903795

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0.006808

0.233853

16,489

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219

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1

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1

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1

0

null

0

8

f888b23b5dcb3da6f0c9ef8bb43251e9a125e7f0

97

py

Python

src/imitation/algorithms/__init__.py

ymetz/imitation

310e81d54e1c8a3a14bc53df61e982efba068ea0

[ "MIT" ]

null

src/imitation/algorithms/__init__.py

ymetz/imitation

310e81d54e1c8a3a14bc53df61e982efba068ea0

[ "MIT" ]

null

src/imitation/algorithms/__init__.py

ymetz/imitation

310e81d54e1c8a3a14bc53df61e982efba068ea0

[ "MIT" ]

null

from imitation.algorithms.bc import BC from imitation.algorithms.adversarial import AIRL, GAIL

32.333333

56

0.835052

13

97

6.230769

0.615385

0.320988

0.567901

0

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97

2

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0.94186

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

3e2769fb19f5ead44061df14e3158d30d67744b1

26,514

py

Python

MILES/pylib/lib_corr.py

kxxdhdn/MISSILE

89dea38aa9247f20c444ccd0b832c674be275fbf

[ "BSD-3-Clause" ]

null

MILES/pylib/lib_corr.py

kxxdhdn/MISSILE

89dea38aa9247f20c444ccd0b832c674be275fbf

[ "BSD-3-Clause" ]

null

MILES/pylib/lib_corr.py

kxxdhdn/MISSILE

89dea38aa9247f20c444ccd0b832c674be275fbf

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ This is the visualization of correlations """ import os, pathlib import numpy as np import matplotlib.colors as mcolors ## rapyuta from rapyuta.arrays import closest from rapyuta.inout import read_hdf5 ## local from auxil import croot ## Path ##------ path_out =...

39.870677

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3.270203

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0.056301

0.05197

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0.799932

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0.776664

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0.752208

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26,514

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0

1

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false

0

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0

null

0

1

0

1

0

null

0

7

e43e6b42625a958e2eac8d21709ecfee9c9ab0ac

2,452

py

Python

tests/test_dumptool.py

loftwah/jsoncsv

eec6a1e38d3d7430268c1a7962b200ffcb2b15ae

[ "Apache-2.0" ]

74

2016-07-28T01:47:22.000Z

2022-03-09T02:49:37.000Z

tests/test_dumptool.py

loftwah/jsoncsv

eec6a1e38d3d7430268c1a7962b200ffcb2b15ae

[ "Apache-2.0" ]

31

2017-07-11T09:24:48.000Z

2021-07-30T03:59:54.000Z

tests/test_dumptool.py

loftwah/jsoncsv

eec6a1e38d3d7430268c1a7962b200ffcb2b15ae

[ "Apache-2.0" ]

20

2016-10-30T10:58:38.000Z

2022-01-11T02:11:00.000Z

# coding=utf-8 # author@alingse # 2018.03.29 import io import unittest from jsoncsv.dumptool import DumpCSV from jsoncsv.dumptool import DumpXLS from jsoncsv.dumptool import dump_excel class TestDumpTool(unittest.TestCase): # FIXME (使用虚拟文件) def test_dumpexcel_csv(self): fin = io.open('./fixture/file...

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0.723922

0.709319

0

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0.226346

2,452

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e44ec29c928ee7ae826383e6064721f53681b75a

27,549

py

Python

sdk/python/pulumi_rancher2/role_tempalte.py

pulumi/pulumi-rancher2

7a98af8cf598b711084a7f46c0fe71b43ed7a8ac

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

3

2020-03-23T15:59:11.000Z

2021-01-29T00:37:32.000Z

sdk/python/pulumi_rancher2/role_tempalte.py

pulumi/pulumi-rancher2

7a98af8cf598b711084a7f46c0fe71b43ed7a8ac

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

76

2020-01-16T20:00:25.000Z

2022-03-31T20:30:08.000Z

sdk/python/pulumi_rancher2/role_tempalte.py

pulumi/pulumi-rancher2

7a98af8cf598b711084a7f46c0fe71b43ed7a8ac

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

2

2020-03-27T17:39:59.000Z

2020-11-24T23:09:24.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import ...

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e466a9a58c7acb613da4c757cadb1c102b9de102

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py

Python

keras/datasets/data_utils.py

insdeep/keras

616201255b434a224fd83430d89810744a6ebc22

[ "MIT" ]

31

2016-09-13T23:14:01.000Z

2022-03-04T16:14:39.000Z

keras/datasets/data_utils.py

insdeep/keras

616201255b434a224fd83430d89810744a6ebc22

[ "MIT" ]

2

2016-11-29T06:04:40.000Z

2020-07-08T16:34:25.000Z

keras/datasets/data_utils.py

insdeep/keras

616201255b434a224fd83430d89810744a6ebc22

[ "MIT" ]

20

2016-08-20T06:59:20.000Z

2020-05-25T12:27:50.000Z

from ..utils.data_utils import * import warnings warnings.warn('data_utils has been moved to keras.utils.data_utils.')

24

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1

0

1

0

7

e471f3573088b0a393ab6d20447a57a875fcac05

2,808

py

Python

test_count_complete_tree_nodes.py

jaebradley/leetcode.py

64634cc7d0e975ddd163f35acb18cc92960b8eb5

[ "MIT" ]

null

test_count_complete_tree_nodes.py

jaebradley/leetcode.py

64634cc7d0e975ddd163f35acb18cc92960b8eb5

[ "MIT" ]

2

2019-11-13T19:55:49.000Z

2019-11-13T19:55:57.000Z

test_count_complete_tree_nodes.py

jaebradley/leetcode.py

64634cc7d0e975ddd163f35acb18cc92960b8eb5

[ "MIT" ]

null

from unittest import TestCase from count_complete_tree_nodes import Solution from tree_node import TreeNode class TestCountCompleteTreeNodes(TestCase): def test_count_single_level_fully_complete_nodes(self): root = TreeNode(1) root.left = TreeNode(2) root.right = TreeNode(3) self....

33.035294

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2,808

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0.870006

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0

0.024242

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2,808

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null

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1

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1

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null

0

7

e47920396644cbd4d5ed7eec0233690f9a8fcbb9

306

py

Python

wizsite/util/__init__.py

QMasterMoo/wizsite

8def7c59131585b12860e02d918ff86c6217ee91

[ "MIT" ]

null

wizsite/util/__init__.py

QMasterMoo/wizsite

8def7c59131585b12860e02d918ff86c6217ee91

[ "MIT" ]

1

2019-01-12T22:44:19.000Z

2019-01-12T22:46:06.000Z

wizsite/util/__init__.py

QMasterMoo/wizsite

8def7c59131585b12860e02d918ff86c6217ee91

[ "MIT" ]

null

""" General utility functions. """ from wizsite.util.shutdown import shutdown_server from wizsite.util.password import create_password_str from wizsite.util.password import verify_password_str from wizsite.util.password import generate_password_str from wizsite.util.header import update_header_dict

38.25

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42

306

5.928571

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0.301205

0.277108

0.542169

0.321285

0

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306

8

57

38.25

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0

1

0

true

0.6

1

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1

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null

1

0

1

0

null

0

1

0

7

e4867e1e4d1a27672e474c9d48a4223a1a46bb88

11,583

py

Python

track_model/track_model_test.py

QUVA-Lab/lang-tracker

6cb3630471765565b6f2d34a160f0cd51d95a082

[ "BSD-2-Clause-FreeBSD" ]

31

2017-09-13T13:40:59.000Z

2022-01-25T16:55:19.000Z

track_model/track_model_test.py

zhenyangli/lang-tracker

dddd808a22582573ab0a5e4c3dbf0ba054e42d61

[ "BSD-3-Clause" ]

4

2017-09-14T01:56:58.000Z

2021-01-28T00:58:58.000Z

track_model/track_model_test.py

QUVA-Lab/lang-tracker

6cb3630471765565b6f2d34a160f0cd51d95a082

[ "BSD-2-Clause-FreeBSD" ]

9

2017-09-28T03:22:08.000Z

2021-01-19T10:56:44.000Z

from __future__ import absolute_import, division, print_function import numpy as np import caffe from caffe import layers as L from caffe import params as P channel_mean = np.array([123.68, 116.779, 103.939], dtype=np.float32) ############################################################################### # Helper M...

49.712446

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11,583

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null

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1

0

1

0

null

0

7

9036c109efdcfbd1cf142da8c3e24ff95c14ef67

175

py

Python

password_reset/forms.py

Sahil1515/VeriListo

7488df770196dc416bf5a5ef0ff29055d0154f74

[ "MIT" ]

null

password_reset/forms.py

Sahil1515/VeriListo

7488df770196dc416bf5a5ef0ff29055d0154f74

[ "MIT" ]

null

password_reset/forms.py

Sahil1515/VeriListo

7488df770196dc416bf5a5ef0ff29055d0154f74

[ "MIT" ]

null

from django import forms from django import forms class password_reset(forms.Form): email=forms.CharField(widget=forms.EmailInput(attrs={'class':'form-control'}))

19.444444

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0.748571

23

175

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0.246154

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9

83

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false

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1

0

null

0

1

0

1

0

7

5f6fbe161c3c6df5bc5b128110288dac79d681a0

22,696

py

Python

gosling/schema/mixins.py

gosling-lang/gos

0099d51e03b1e27aba5fa7554770eb27078716ed

[ "MIT" ]

32

2021-09-08T18:18:49.000Z

2022-02-22T00:27:02.000Z

gosling/schema/mixins.py

gosling-lang/gos

0099d51e03b1e27aba5fa7554770eb27078716ed

[ "MIT" ]

18

2021-09-08T16:18:09.000Z

2022-03-25T19:25:28.000Z

gosling/schema/mixins.py

manzt/ipygosling

0099d51e03b1e27aba5fa7554770eb27078716ed

[ "MIT" ]

2

2022-02-18T13:43:55.000Z

2022-03-11T17:49:41.000Z

# The contents of this file are automatically written by # tools/generate_schema_wrapper.py. Do not modify directly. from . import core from gosling.schemapi import Undefined from typing import TypeVar T = TypeVar('T') class MarkMethodMixin(object): """A mixin class that defines mark methods""" def mark_poin...

65.595376

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22,696

7.825197

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0.016905

0.009392

0.017844

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22,696

346

105

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0

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1

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1

0.051661

false

0

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0

null

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