xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

990bb4f11a86c646dac3a761a312f8d1164528ff

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py

Python

Blender_CamGen/create.py

tswallen/Plenoptic-Simulation

6fe2b694cfe0ca454ab2a3f5657b919e857290dc

[ "MIT" ]

null

Blender_CamGen/create.py

tswallen/Plenoptic-Simulation

6fe2b694cfe0ca454ab2a3f5657b919e857290dc

[ "MIT" ]

null

Blender_CamGen/create.py

tswallen/Plenoptic-Simulation

6fe2b694cfe0ca454ab2a3f5657b919e857290dc

[ "MIT" ]

null

import bpy import math from . import data # create a flat lens surface def flat_surface(half_lens_height, ior, position, name): bpy.ops.mesh.primitive_circle_add(vertices = 64, radius = half_lens_height, fill_type = 'TRIFAN', calc_uvs = False, location=(0,0,0), rotation = (0, -3.1415926536/2.0, 0)) bpy.ops.ob...

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py

Python

recaptcha.py

m3ngineer/hospital-lawsuits

1f71e4c7cdf0512592aa1f4ac5f03c7809149280

[ "MIT" ]

null

recaptcha.py

m3ngineer/hospital-lawsuits

1f71e4c7cdf0512592aa1f4ac5f03c7809149280

[ "MIT" ]

null

recaptcha.py

m3ngineer/hospital-lawsuits

1f71e4c7cdf0512592aa1f4ac5f03c7809149280

[ "MIT" ]

null

from python_anticaptcha import AnticaptchaClient, NoCaptchaTaskProxylessTask from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC from time import sleep import config api_key ...

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99149757f665b2f4b37b4dcf179960c645b6306b

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py

Python

demo/demo_dataset.py

lyuyangh/Cross-Attention-VizWiz-VQA

853bfe480dac5bd1363f60c6b17e25134acdc2fa

[ "MIT" ]

10

2021-07-25T12:44:34.000Z

2022-03-23T04:07:12.000Z

demo/demo_dataset.py

lyuyangh/Cross-Attention-VizWiz-VQA

853bfe480dac5bd1363f60c6b17e25134acdc2fa

[ "MIT" ]

null

demo/demo_dataset.py

lyuyangh/Cross-Attention-VizWiz-VQA

853bfe480dac5bd1363f60c6b17e25134acdc2fa

[ "MIT" ]

5

2021-07-25T12:44:35.000Z

2022-03-26T16:51:44.000Z

import os import sys import h5py import _pickle as cPickle import numpy as np import requests import torch from torch.utils.data import Dataset sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from utils.dataset import Dictionary MAX_QUES_SEQ_LEN = 26 NO_OBJECTS = 36 URL_FEATURE_SERVER =...

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py

Python

setup.py

the01/paps-realtime

94fc40e196a46eab0ce1b8626dadca5f720f9995

[ "MIT" ]

null

setup.py

the01/paps-realtime

94fc40e196a46eab0ce1b8626dadca5f720f9995

[ "MIT" ]

null

setup.py

the01/paps-realtime

94fc40e196a46eab0ce1b8626dadca5f720f9995

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function # from __future__ import unicode_literals __author__ = "d01 <Florian Jung>" __email__ = "jungflor@gmail.com" __copyright__ = "Copyright (C) 2015-16, Florian JUNG" _...

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py

Python

nonlinear_data_fitting/demo_nonlinear_data_fitting.py

almostdutch/numerical-optimization-algorithms

cd6c1306cb04eccce62a74420323bda83058c1d6

[ "MIT" ]

null

nonlinear_data_fitting/demo_nonlinear_data_fitting.py

almostdutch/numerical-optimization-algorithms

cd6c1306cb04eccce62a74420323bda83058c1d6

[ "MIT" ]

1

2021-06-02T10:07:26.000Z

2021-06-03T10:23:46.000Z

nonlinear_data_fitting/demo_nonlinear_data_fitting.py

almostdutch/numerical-optimization-algorithms

cd6c1306cb04eccce62a74420323bda83058c1d6

[ "MIT" ]

null

""" demo_nonlinear_data_fitting.py Fit a model A * sin(W * t + phi) to the data f(X, ti) = yi to find A, W, and phi m = number of data points Solve a system of non-linear equations f(X, ti) - yi = 0: x1 * sin(x2 * t + x3) - y = 0, where X = [x1 = A, x2 = W, x3 = phi].T, t = [t1, t2, ..., tm].T and y = [y1, y2, .....

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py

Python

libneko/checks.py

Natsurii/b00t

09fac50434fd6692d6f1a07e8c8f4a5df20ce9d4

[ "MIT" ]

1

2018-09-22T23:58:55.000Z

libneko/checks.py

Natsurii/b00t

09fac50434fd6692d6f1a07e8c8f4a5df20ce9d4

[ "MIT" ]

null

libneko/checks.py

Natsurii/b00t

09fac50434fd6692d6f1a07e8c8f4a5df20ce9d4

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # MIT License # # Copyright (c) 2018-2019 Nekoka.tt # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without li...

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991a025602e05e7286a371a273b532009c3af8bd

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py

Python

python/nano/src/bigdl/nano/automl/tf/objective.py

pinggao187/BigDL

3d673458f267746b54dfd0146bdb022b3acb2d89

[ "Apache-2.0" ]

null

python/nano/src/bigdl/nano/automl/tf/objective.py

pinggao187/BigDL

3d673458f267746b54dfd0146bdb022b3acb2d89

[ "Apache-2.0" ]

null

python/nano/src/bigdl/nano/automl/tf/objective.py

pinggao187/BigDL

3d673458f267746b54dfd0146bdb022b3acb2d89

[ "Apache-2.0" ]

null

# # Copyright 2016 The BigDL Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...

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991a268e1607c44fc5fec2b754da258201620b92

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py

Python

tensorflow_toolkit/image_retrieval/image_retrieval/image_retrieval.py

morkovka1337/openvino_training_extensions

846db45c264d6b061505213f51763520b9432ba9

[ "Apache-2.0" ]

256

2020-09-09T03:27:57.000Z

2022-03-30T10:06:06.000Z

tensorflow_toolkit/image_retrieval/image_retrieval/image_retrieval.py

morkovka1337/openvino_training_extensions

846db45c264d6b061505213f51763520b9432ba9

[ "Apache-2.0" ]

604

2020-09-08T12:29:49.000Z

2022-03-31T21:51:08.000Z

tensorflow_toolkit/image_retrieval/image_retrieval/image_retrieval.py

morkovka1337/openvino_training_extensions

846db45c264d6b061505213f51763520b9432ba9

[ "Apache-2.0" ]

160

2020-09-09T14:06:07.000Z

2022-03-30T14:50:48.000Z

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

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991d664b4a7ff9ae7464e55cf36f369519e4ab24

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py

Python

release/scripts/addons/oscurart_tools/object/distribute.py

noorbeast/BlenderSource

65ebecc5108388965678b04b43463b85f6c69c1d

[ "Naumen", "Condor-1.1", "MS-PL" ]

3

2019-09-16T10:29:19.000Z

2022-02-11T14:43:18.000Z

engine/2.80/scripts/addons/oscurart_tools/object/distribute.py

byteinc/Phasor

f7d23a489c2b4bcc3c1961ac955926484ff8b8d9

[ "Unlicense" ]

null

engine/2.80/scripts/addons/oscurart_tools/object/distribute.py

byteinc/Phasor

f7d23a489c2b4bcc3c1961ac955926484ff8b8d9

[ "Unlicense" ]

null

# ##### BEGIN GPL LICENSE BLOCK ##### # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distrib...

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991f03bbfaaa813ef12bac646842c1f1126bf936

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py

Python

py/tests/test45SpatAdaptiveUP.py

valentjn/thesis

65a0eb7d5f7488aac93882959e81ac6b115a9ea8

[ "CC0-1.0" ]

4

2022-01-15T19:50:36.000Z

2022-01-15T20:16:10.000Z

py/tests/test45SpatAdaptiveUP.py

valentjn/thesis

65a0eb7d5f7488aac93882959e81ac6b115a9ea8

[ "CC0-1.0" ]

null

py/tests/test45SpatAdaptiveUP.py

valentjn/thesis

65a0eb7d5f7488aac93882959e81ac6b115a9ea8

[ "CC0-1.0" ]

null

#!/usr/bin/python3 import functools import multiprocessing import random import unittest import numpy as np import scipy.special import helper.basis import helper.grid import tests.misc class Test45SpatAdaptiveUP(tests.misc.CustomTestCase): @staticmethod def createDataHermiteHierarchization(p): n, d, b = 4,...

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py

Python

configs/config_FILES.py

Haupti/tudatalibAPI

f249853711fca3203b76bb26b4df7d6912cd0304

[ "Apache-2.0" ]

null

configs/config_FILES.py

Haupti/tudatalibAPI

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[ "Apache-2.0" ]

null

configs/config_FILES.py

Haupti/tudatalibAPI

f249853711fca3203b76bb26b4df7d6912cd0304

[ "Apache-2.0" ]

null

''' For a flawless upload of many files to all the desired items the following variables have to be set: upload_list which is a list of 2-element lists e2 the 2-element list containing 1. the item id and 2. the folder from which all files will be upload to the item on TUdatalib Replace <dir...

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py

Python

unify/tool/create-application.py

unify/unify

30a920efbd5e1fc2857baeed623f55e03c8c4c9a

[ "Apache-2.0", "MIT" ]

8

2015-03-14T12:23:27.000Z

2021-01-09T18:00:53.000Z

unify/tool/create-application.py

wuwx/unify

30a920efbd5e1fc2857baeed623f55e03c8c4c9a

[ "Apache-2.0", "MIT" ]

1

2016-09-29T08:00:57.000Z

unify/tool/create-application.py

wuwx/unify

30a920efbd5e1fc2857baeed623f55e03c8c4c9a

[ "Apache-2.0", "MIT" ]

4

2015-02-09T05:42:32.000Z

2018-03-29T07:56:41.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import subprocess, os, sys, optparse fullpath = os.path.join(os.getcwd(), os.path.dirname(sys.argv[0])) capath = os.path.abspath( os.path.join(fullpath, "..", "..", "qooxdoo", "qooxdoo", "tool", "bin", "create-application.py") ) skeletonpath = os.path.abspath( os....

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9922ce4cce1ba80f386b53ad7c8ac19416945962

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py

Python

MedTARSQI/src/main/resources/ttk/testing/create_slinket_cases.py

CDCgov/DCPC

c3fadef1bd6345e01a58afef051491d8ef6a7f93

[ "Apache-2.0" ]

6

2018-11-03T22:43:35.000Z

2022-02-15T17:51:33.000Z

MedTARSQI/src/main/resources/ttk/testing/create_slinket_cases.py

CDCgov/DCPC

c3fadef1bd6345e01a58afef051491d8ef6a7f93

[ "Apache-2.0" ]

2

2019-04-08T03:42:59.000Z

2019-10-28T13:42:59.000Z

MedTARSQI/src/main/resources/ttk/testing/create_slinket_cases.py

CDCgov/DCPC

c3fadef1bd6345e01a58afef051491d8ef6a7f93

[ "Apache-2.0" ]

10

2017-04-10T21:40:22.000Z

2022-02-21T16:50:10.000Z

"""create_slinket_cases.py Code to create Slinket unit test cases. Runs by taking all SLINKs from a Timebank parse and put them in files, one for each SLINK relType, as potential test cases. Files are named slink-cases-RELTYPE.txt, where RELTYPE stands for one of the relation types. The output files have lines like ...

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py

Python

tools/ops/azure/container-host/chart/deploy_chart.py

anthonybgale/cloud-custodian

a7338a19ebd2d7ceb431f24a27672893018e8925

[ "Apache-2.0" ]

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tools/ops/azure/container-host/chart/deploy_chart.py

anthonybgale/cloud-custodian

a7338a19ebd2d7ceb431f24a27672893018e8925

[ "Apache-2.0" ]

null

tools/ops/azure/container-host/chart/deploy_chart.py

anthonybgale/cloud-custodian

a7338a19ebd2d7ceb431f24a27672893018e8925

[ "Apache-2.0" ]

null

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

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py

Python

xframes/traced_object.py

cchayden/xframes

1656cc69c814bda8132362b3a22f7cdf8a24637f

[ "Apache-2.0", "BSD-3-Clause" ]

null

xframes/traced_object.py

cchayden/xframes

1656cc69c814bda8132362b3a22f7cdf8a24637f

[ "Apache-2.0", "BSD-3-Clause" ]

null

xframes/traced_object.py

cchayden/xframes

1656cc69c814bda8132362b3a22f7cdf8a24637f

[ "Apache-2.0", "BSD-3-Clause" ]

null

""" Base class for objects that support entry and exit tracing. """ import inspect from sys import stderr class TracedObject(object): entry_trace = False perf_count = None @classmethod def _print_stack(cls, stack, args, levels=6): print >>stderr, 'Enter:', stack[1][3], stack[1][1], stack[1][...

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992c259fa36e64e7447e2e6321c3223d9e19047a

813

py

Python

hubconf.py

qibaoyuan/fairseq

eabd07fdcfd5b007d05428e81a31b7f3fc5de959

[ "BSD-3-Clause" ]

6

2020-11-17T18:54:08.000Z

2022-01-21T16:21:18.000Z

hubconf.py

vineelpratap/fairseq

208295dfc76492748500f97a4f9a808d8053a184

[ "BSD-3-Clause" ]

2

2021-01-01T10:57:32.000Z

2021-01-13T01:17:35.000Z

hubconf.py

vineelpratap/fairseq

208295dfc76492748500f97a4f9a808d8053a184

[ "BSD-3-Clause" ]

1

2020-12-29T12:02:44.000Z

# Copyright (c) 2017-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the LICENSE file in # the root directory of this source tree. An additional grant of patent rights # can be found in the PATENTS file in the same directory. import functools from fairseq.mod...

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0

1

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992ee557b197ee2455ec41b1fe058f029f7123c9

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py

Python

BiasSVD-kNN based Netease Music Recommender System.py

Coalin/Business-Analytics-Projects

8771afe5180302a73434f305500d5498be549827

[ "MIT" ]

1

2018-07-09T09:09:02.000Z

BiasSVD-kNN based Netease Music Recommender System.py

Coalin/Business-Analytics-Projects

8771afe5180302a73434f305500d5498be549827

[ "MIT" ]

null

BiasSVD-kNN based Netease Music Recommender System.py

Coalin/Business-Analytics-Projects

8771afe5180302a73434f305500d5498be549827

[ "MIT" ]

null

# -*- coding:utf-8 -*- from __future__ import (absolute_import, division, print_function, unicode_literals) import os import surprise from surprise import KNNBaseline, Reader from surprise import Dataset from surprise import evaluate, print_perf import csv from surprise import SVD,SVDpp from surprise import G...

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null

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992f18514be68650cca7e7206bf7d259cbca8f31

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py

Python

pywizlight/tests/test_bulb_socket.py

mikemakaroff/pywizlight

0b32b917a064d9ca1be0ce9fb24ea68ce89993ed

[ "MIT" ]

1

2022-03-30T22:42:51.000Z

pywizlight/tests/test_bulb_socket.py

mikemakaroff/pywizlight

0b32b917a064d9ca1be0ce9fb24ea68ce89993ed

[ "MIT" ]

null

pywizlight/tests/test_bulb_socket.py

mikemakaroff/pywizlight

0b32b917a064d9ca1be0ce9fb24ea68ce89993ed

[ "MIT" ]

null

"""Tests for the Bulb API with a socket.""" from typing import AsyncGenerator import pytest from pywizlight import wizlight from pywizlight.bulblibrary import BulbClass, BulbType, Features, KelvinRange from pywizlight.tests.fake_bulb import startup_bulb @pytest.fixture() async def socket() -> AsyncGenerator[wizligh...

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0

null

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1

0

99332f040f38016f3fe08830a1b001ac9221e1ec

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py

Python

servidor/utils/podcasts/podcasts.py

UNIZAR-30226-2020-01/backend_django

aefe5668e3b45b0015d24e17254ac61858b3df7b

[ "MIT" ]

null

servidor/utils/podcasts/podcasts.py

UNIZAR-30226-2020-01/backend_django

aefe5668e3b45b0015d24e17254ac61858b3df7b

[ "MIT" ]

52

2020-02-25T09:56:54.000Z

2021-09-22T18:40:50.000Z

servidor/utils/podcasts/podcasts.py

UNIZAR-30226-2020-01/backend_django

aefe5668e3b45b0015d24e17254ac61858b3df7b

[ "MIT" ]

null

# from __future__ import print_function # import sys # import getpass import os import requests import json # from set_credentials import the_secret_function # borrar esta linea, es solo para el hello world #Clase necesaria para devolver por APIRest lo correspondiente a los trending podcast class TrendingPo...

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null

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993a49824daba6f94a6ddb3110d512c3b971d0fc

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py

Python

tokyo/cmp_year.py

sken10/covid19

034fb50b99823726216fef20d4eabe7f012ff718

[ "MIT" ]

null

tokyo/cmp_year.py

sken10/covid19

034fb50b99823726216fef20d4eabe7f012ff718

[ "MIT" ]

null

tokyo/cmp_year.py

sken10/covid19

034fb50b99823726216fef20d4eabe7f012ff718

[ "MIT" ]

null

"""年を補完した日付を付加する。(for 東京都福祉保健局/都内感染者の状況) 東京都の資料には日付の項目に年の情報がないので、それを補完する。各レコードの終端に、 Y/M/D 形式のリリース日、発症日、確定日を追加する。使い方 ------ data/0104.csv から data/0104_c.csv (ファイル名に _c 追加、Y/M/D タイムスタンプ追加)を作る場合: $ cmp_year.py data/0104.csv レコード構成 ------------ 0:'リリース日' 1:'居住地' 2:'年代' 3:'性別' 4:'属性(職業等)' 5:'渡航歴' 6:'接触歴' 7:'発症日...

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null

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1

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993d36b65ce681aebaefed1af68a07d3f0057018

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py

Python

old_files/PyGEM_postprocess_Analysis_Anna.py

tusharkh/PyGEM-Clone

057d276871d398a3e5dcc8cd59226933a98b3be1

[ "MIT" ]

null

old_files/PyGEM_postprocess_Analysis_Anna.py

tusharkh/PyGEM-Clone

057d276871d398a3e5dcc8cd59226933a98b3be1

[ "MIT" ]

null

old_files/PyGEM_postprocess_Analysis_Anna.py

tusharkh/PyGEM-Clone

057d276871d398a3e5dcc8cd59226933a98b3be1

[ "MIT" ]

null

import pandas as pd import numpy as np import matplotlib.pyplot as plt import netCDF4 as nc from scipy.stats import linregress import cartopy.crs as ccrs import cartopy as car #========== IMPORT INPUT AND FUNCTIONS FROM MODULES =================================================================== import pygem_input as i...

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null

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1

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9940e845e28cff0d578b7b5aa631c7d7f5fdd50a

3,884

py

Python

model.py

bvvarun1992/Behavioral-Cloning

fe69a0f1f6f2263fa0fca94f7f628701523ad35d

[ "MIT" ]

null

model.py

bvvarun1992/Behavioral-Cloning

fe69a0f1f6f2263fa0fca94f7f628701523ad35d

[ "MIT" ]

null

model.py

bvvarun1992/Behavioral-Cloning

fe69a0f1f6f2263fa0fca94f7f628701523ad35d

[ "MIT" ]

null

import csv import numpy as np import cv2 from sklearn.utils import shuffle from sklearn.model_selection import train_test_split # Reading image paths and steering angles from excel samples = [] with open('/opt/carnd_p3/data/driving_log.csv') as csvfile: reader = csv.reader(csvfile) ## Skipping first line to av...

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null

0

null

0

1

0

994230f6b4ebf07a0d7cc91b97f4dc1767bdae63

714

py

Python

setup.py

teriyakichild/python-zcli

43538a8e02a18d3e415d98b2cb1114d074e44a4f

[ "Apache-2.0" ]

null

setup.py

teriyakichild/python-zcli

43538a8e02a18d3e415d98b2cb1114d074e44a4f

[ "Apache-2.0" ]

null

setup.py

teriyakichild/python-zcli

43538a8e02a18d3e415d98b2cb1114d074e44a4f

[ "Apache-2.0" ]

null

from setuptools import setup from sys import path path.insert(0, '.') NAME = "zcli" if __name__ == "__main__": setup( name = NAME, version = "0.1.0", author = "Tony Rogers", author_email = "tony.rogers@rackspace.com", url = "https://github.com/teriyakichild/python-zcli", ...

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9943a954b6c98669a7f2d794d8606fb4a934d9b6

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py

Python

Code/branches/Pre-Prospectus/python/SourceFiles/Geometry.py

jlconlin/PhDThesis

8e704613721a800ce1c59576e94f40fa6f7cd986

[ "MIT" ]

null

Code/branches/Pre-Prospectus/python/SourceFiles/Geometry.py

jlconlin/PhDThesis

8e704613721a800ce1c59576e94f40fa6f7cd986

[ "MIT" ]

null

Code/branches/Pre-Prospectus/python/SourceFiles/Geometry.py

jlconlin/PhDThesis

8e704613721a800ce1c59576e94f40fa6f7cd986

[ "MIT" ]

null

__id__ = "$Id: Geometry.py 51 2007-04-25 20:43:07Z jlconlin $" __author__ = "$Author: jlconlin $" __version__ = " $Revision: 51 $" __date__ = "$Date: 2007-04-25 14:43:07 -0600 (Wed, 25 Apr 2007) $" import scipy import Errors class Geometry(object): """ Geometry is a class to hold information ab...

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88

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0.324324

0

null

0

null

0

1

0

99440dc4872605e49ce2bfbd37e480db9c6f90a0

12,244

py

Python

django_backblaze_b2/storage.py

ehossack/django-backblaze-b2

556777a74a23780bffde68296c3173fb5a7d5ccd

[ "BSD-2-Clause" ]

12

2020-09-14T15:43:34.000Z

2021-12-11T17:45:22.000Z

django_backblaze_b2/storage.py

ehossack/django-backblaze-b2

556777a74a23780bffde68296c3173fb5a7d5ccd

[ "BSD-2-Clause" ]

10

2020-11-28T19:55:20.000Z

2022-03-28T02:18:15.000Z

django_backblaze_b2/storage.py

ehossack/django-backblaze-b2

556777a74a23780bffde68296c3173fb5a7d5ccd

[ "BSD-2-Clause" ]

2

2021-01-29T21:58:26.000Z

2021-06-22T19:34:11.000Z

from datetime import datetime from hashlib import sha3_224 as hash from logging import getLogger from typing import IO, Any, Callable, Dict, List, Optional, Tuple, cast from b2sdk.account_info import InMemoryAccountInfo from b2sdk.account_info.abstract import AbstractAccountInfo from b2sdk.account_info.sqlite_account_...

41.505085

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0

null

0

null

0

1

0

9946935225cfd5d8c3166e682fc9c3c573466b46

8,180

py

Python

docs/nnabla/p10_Python_API_Tutorials/s02_python_api.py

daizutabi/scratch

4c56fad47da0938eda89f3c2b6cb2f1919bee180

[ "MIT" ]

null

docs/nnabla/p10_Python_API_Tutorials/s02_python_api.py

daizutabi/scratch

4c56fad47da0938eda89f3c2b6cb2f1919bee180

[ "MIT" ]

null

docs/nnabla/p10_Python_API_Tutorials/s02_python_api.py

daizutabi/scratch

4c56fad47da0938eda89f3c2b6cb2f1919bee180

[ "MIT" ]

null

# # NNabla Python API Demonstration Tutorial # # (https://nnabla.readthedocs.io/en/latest/python/tutorial/python_api.html) import matplotlib.pyplot as plt import nnabla as nn import nnabla.functions as F import nnabla.parametric_functions as PF import nnabla.solvers as S import numpy as np from ivory.utils.path impor...

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0

null

0

null

0

1

0

9949907614d70988d09cf14ed19ffbba33bd91dd

1,994

py

Python

main.py

kriszhengs/kouzhao

f0de3e99b98b696ffbb8cec193d01c7695e45ae3

[ "MIT" ]

null

main.py

kriszhengs/kouzhao

f0de3e99b98b696ffbb8cec193d01c7695e45ae3

[ "MIT" ]

null

main.py

kriszhengs/kouzhao

f0de3e99b98b696ffbb8cec193d01c7695e45ae3

[ "MIT" ]

null

from datetime import datetime import logging import requests from hashlib import md5 from time import sleep from apscheduler.schedulers.background import BlockingScheduler,BackgroundScheduler import kzconfig import json logging.basicConfig( handlers=[logging.FileHandler('log.log', 'a', 'utf-8')], level=logg...

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0

null

0

null

0

1

0

994d23acaf6906fc4bf97467e6053a890c952369

15,807

py

Python

corehq/apps/locations/views.py

SEL-Columbia/commcare-hq

992ee34a679c37f063f86200e6df5a197d5e3ff6

[ "BSD-3-Clause" ]

1

2015-02-10T23:26:39.000Z

corehq/apps/locations/views.py

SEL-Columbia/commcare-hq

992ee34a679c37f063f86200e6df5a197d5e3ff6

[ "BSD-3-Clause" ]

null

corehq/apps/locations/views.py

SEL-Columbia/commcare-hq

992ee34a679c37f063f86200e6df5a197d5e3ff6

[ "BSD-3-Clause" ]

null

import copy from django.http import HttpResponse, HttpResponseRedirect, Http404 from django.utils.safestring import mark_safe from django.views.decorators.http import require_POST from corehq.apps.commtrack.views import BaseCommTrackManageView from corehq.apps.domain.decorators import domain_admin_required, login_and_...

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null

0

null

0

1

0

99533e6ec88630f0bf822397008bdc4f64d07cdc

21,117

py

Python

web/project/training_api/libs/utilities.py

allspeak/api.allspeak.eu

0403c4ed870c32ff9846f943e28aeb897f4baf3c

[ "MIT" ]

1

2018-09-03T14:48:27.000Z

web/project/training_api/libs/utilities.py

allspeak/api.allspeak.eu

0403c4ed870c32ff9846f943e28aeb897f4baf3c

[ "MIT" ]

null

web/project/training_api/libs/utilities.py

allspeak/api.allspeak.eu

0403c4ed870c32ff9846f943e28aeb897f4baf3c

[ "MIT" ]

null

# createSubjectTrainingMatrix(subj, in_orig_subj_path, output_net_path, arr_commands, arr_rip) # createSubjectTestMatrix(subj, in_orig_subj_path, output_net_path, arr_commands, arr_rip, sentences_filename, sentence_counter) # createFullMatrix(input_matrix_folder, data_name, label_name, output_matrix_path="") import os...

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0

null

0

null

0

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99548a01e83a179a6bb2c82d30f37deca9cc74b6

5,206

py

Python

Note11_Learn Python_Staticmethods&Exceptions.py

stanreport/Python-Tutorials

7aff8ff7c21d4face1afb218ab9679f3d1160e27

[ "Apache-2.0" ]

null

Note11_Learn Python_Staticmethods&Exceptions.py

stanreport/Python-Tutorials

7aff8ff7c21d4face1afb218ab9679f3d1160e27

[ "Apache-2.0" ]

1

2018-04-14T19:35:14.000Z

Note11_Learn Python_Staticmethods&Exceptions.py

stanreport/Python-Tutorials

7aff8ff7c21d4face1afb218ab9679f3d1160e27

[ "Apache-2.0" ]

null

# ---------- STATIC METHODS ---------- # Static methods allow access without the need to initialize # a class. They should be used as utility methods, or when # a method is needed, but it doesn't make sense for the real # world object to be able to perform a task class Sum: # You use the static method decorator ...

24.909091

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0

null

0

null

0

1

0

995771bb5ce39f771d0087436d5379344c7c7a93

17,632

py

Python

(3)TopTitanic1.py

statpng/KaggleTranscript

b110482a2adcf0390fac0d54c890c95894f98dea

[ "Apache-2.0" ]

null

(3)TopTitanic1.py

statpng/KaggleTranscript

b110482a2adcf0390fac0d54c890c95894f98dea

[ "Apache-2.0" ]

null

(3)TopTitanic1.py

statpng/KaggleTranscript

b110482a2adcf0390fac0d54c890c95894f98dea

[ "Apache-2.0" ]

null

# https://www.kaggle.com/yassineghouzam/titanic-top-4-with-ensemble-modeling # Feature analysis # Feature engineering # Modeling import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns # %matplotlib inline from collections import Counter from sklearn.ensemble import RandomForestC...

35.193613

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0.650522

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17,632

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0.175063

0.011512

0.014839

0.015109

0.303984

0.262973

0.187877

0.145517

0.108013

0.100639

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0.179503

17,632

500

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35.264

0.749361

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0

0.065015

0

null

0

null

0

1

0

9958fb1fe550f9459cfe99043f36afca01044db6

1,049

py

Python

demo/person/tests/project/domain/person/repository/test_physical_person_model.py

giovannifarlley/ms--fastapi-template

5bbd6903305db07cc18330ec86fb04ca518e9dab

[ "MIT" ]

24

2021-03-07T13:00:35.000Z

2022-02-11T03:41:51.000Z

demo/person/tests/project/domain/person/repository/test_physical_person_model.py

giovannifarlley/ms--fastapi-template

5bbd6903305db07cc18330ec86fb04ca518e9dab

[ "MIT" ]

2

2021-05-15T01:05:17.000Z

2021-08-13T13:53:57.000Z

demo/person/tests/project/domain/person/repository/test_physical_person_model.py

giovannifarlley/ms--fastapi-template

5bbd6903305db07cc18330ec86fb04ca518e9dab

[ "MIT" ]

4

2021-04-27T12:18:33.000Z

2021-10-03T23:43:23.000Z

from datetime import datetime from bson.objectid import ObjectId import pytest from project.domain.person.repository.physical_person import PhysicalPerson def test_instance_physical_person(): input_data = { "_id": ObjectId(), "status": "active", "name": "teste", "last_name": "test...

26.897436

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0.551954

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1,049

5.852632

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1,049

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0

null

0

null

0

1

0

995a18380107d2a42827b6340d3c5bca73c8436d

2,202

py

Python

tests/api/v2/test_queries.py

droessmj/python-sdk

42ea2366d08ef5e4d1fa45029480b800352ab765

[ "MIT" ]

2

2020-09-08T20:42:05.000Z

2020-09-09T14:27:55.000Z

tests/api/v2/test_queries.py

droessmj/python-sdk

42ea2366d08ef5e4d1fa45029480b800352ab765

[ "MIT" ]

null

tests/api/v2/test_queries.py

droessmj/python-sdk

42ea2366d08ef5e4d1fa45029480b800352ab765

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Test suite for the community-developed Python SDK for interacting with Lacework APIs. """ import random import pytest from laceworksdk.api.v2.queries import QueriesAPI from tests.api.test_crud_endpoint import CrudEndpoint # Tests @pytest.fixture(scope="module") def api_object(api): ...

28.597403

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0.05225

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0.261248

0

0.001168

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2,202

76

129

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0

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false

0.019231

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0.057692

0.403846

0

null

0

null

0

1

0

995ce8cb055163c1151d7b483d731dd014f5c38e

9,058

py

Python

dataloader.py

AriaPs/TransparentDepth

c053b273be856cc9433fd5598a56b96d44ae910e

[ "MIT" ]

1

2021-05-16T19:40:58.000Z

dataloader.py

AriaPs/TransparentDepth

c053b273be856cc9433fd5598a56b96d44ae910e

[ "MIT" ]

null

dataloader.py

AriaPs/TransparentDepth

c053b273be856cc9433fd5598a56b96d44ae910e

[ "MIT" ]

null

#!/usr/bin/env python3 import os import glob import sys from PIL import Image import Imath import numpy as np import torch import torch.nn as nn from torch.utils.data import Dataset from torchvision import transforms from imgaug import augmenters as iaa import imgaug as ia import imageio import cv2 ...

40.4375

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0.598256

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9,058

4.721371

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0.01738

0.013369

0.157945

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0.071047

0.053094

0.040489

0.022536

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0.020592

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9,058

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40.618834

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0

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0.015038

0

null

0

null

0

1

0

9962f81178525ce273dd05b72036d4af806539c0

2,122

py

Python

graph_plots/fwidgets/f_icon_label.py

DanShai/kivy-graph

6537901d521247a13e186aaa8ecbaffdffdaf7ea

[ "MIT" ]

3

2018-11-28T13:35:35.000Z

2021-09-12T15:54:28.000Z

graph_plots/fwidgets/f_icon_label.py

DanShai/kivy-graph

6537901d521247a13e186aaa8ecbaffdffdaf7ea

[ "MIT" ]

null

graph_plots/fwidgets/f_icon_label.py

DanShai/kivy-graph

6537901d521247a13e186aaa8ecbaffdffdaf7ea

[ "MIT" ]

1

2021-05-03T18:48:01.000Z

''' @author: dan ''' from f_widget import FWidget from kivy.uix.label import Label from kivy.properties import ListProperty, NumericProperty, StringProperty, BooleanProperty, ObjectProperty from kivy.uix.button import Button from kivy.lang import Builder from f_button import FButton from utils import get_icon_char,...

27.921053

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0.411765

0

null

0

null

0

1

0

9967cec318291035a6b99a56b195699b1cec987a

4,766

py

Python

holybible.py

DPS0340/holybible.py

ee6b4d6da7b21f44a6d3e7fc8973cf186f7c1109

[ "MIT" ]

null

holybible.py

DPS0340/holybible.py

ee6b4d6da7b21f44a6d3e7fc8973cf186f7c1109

[ "MIT" ]

null

holybible.py

DPS0340/holybible.py

ee6b4d6da7b21f44a6d3e7fc8973cf186f7c1109

[ "MIT" ]

null

# 이지호 작성 # # 공동번역 성서의 저작권은 모두 저작권자에게 있습니다. # import sys import re import random end = "끝났습니다." error = "오류입니다." def run(): short = ['Gen', 'Exo', 'Lev', 'Num', 'Deu', 'Jos', 'Jdg', 'Rth', '1Sa', '2Sa', '1Ki', '2Ki', '1Ch', '2Ch', 'Ezr', 'Neh', 'Est', 'Job', 'Psa', 'Pro', 'Ecc', 'Sol'...

36.381679

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0.402854

550

4,766

3.490909

0.434545

0.016667

0.03125

0.039063

0.201042

0.166146

0

0.018378

0.417751

4,766

130

119

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0.673514

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1

0.008333

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0

0.025

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0.033333

0.141667

0

null

0

null

0

1

0

996b9f6d14e4feb9f7a3b2d58454376d40004276

513

py

Python

progs/mean.py

Breccia/s-py

4fc5fcd0efbfcaa6574a81ee922c1083ed0ef57d

[ "MIT" ]

null

progs/mean.py

Breccia/s-py

4fc5fcd0efbfcaa6574a81ee922c1083ed0ef57d

[ "MIT" ]

null

progs/mean.py

Breccia/s-py

4fc5fcd0efbfcaa6574a81ee922c1083ed0ef57d

[ "MIT" ]

null

#!/usr/local/anaconda3/bin/python import sys sys.path.insert(0, "../libs/") from spy_mean import compute_mean if __name__ == "__main__": print("Program to compute mean") count = input("Enter total number of samples: ") idx = 0 data = [] for idx in range(0, int(count)): val = input("Enter ...

24.428571

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0.623782

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513

4.148649

0.554054

0.143322

0.09772

0.123779

0

0.01995

0.218324

513

20

67

25.65

0.745636

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1

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false

0

0.153846

0

0.153846

0

null

0

null

0

1

0

996c038f0063123980ac86217bb77ad88b247eae

896

py

Python

wxalarmlib/utils/time_util.py

sanderiana/wxAlarm

6abc4a8851ce83fa7d3ee30d89a773d9952f87ed

[ "MIT" ]

null

wxalarmlib/utils/time_util.py

sanderiana/wxAlarm

6abc4a8851ce83fa7d3ee30d89a773d9952f87ed

[ "MIT" ]

null

wxalarmlib/utils/time_util.py

sanderiana/wxAlarm

6abc4a8851ce83fa7d3ee30d89a773d9952f87ed

[ "MIT" ]

null

# -*- coding: utf-8 -*- # --------------------------------------------------------------- # wxalarm.py # # Copyright (c) 2019 sanderiana https://github.com/sanderiana # # This software is released under the MIT License. # http://opensource.org/licenses/mit-license.php # ------------------------------------------------...

28

65

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896

4.47

0.56

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0.049217

0

0.029412

0.165179

896

32

66

28

0.568182

0.472098

0

0.021645

0

1

0.133333

false

0

0.066667

0

0.333333

0

null

0

null

0

1

0

996ea645ce42f819744d7c8848ee5604d942ae67

3,380

py

Python

ship.py

kcwikizh/kancolle-shinkai-db

73808a91b5f59d158374f016e2d514225f1ca6bd

[ "MIT" ]

1

2019-02-11T08:57:07.000Z

ship.py

kcwikizh/kancolle-shinkai-db

73808a91b5f59d158374f016e2d514225f1ca6bd

[ "MIT" ]

null

ship.py

kcwikizh/kancolle-shinkai-db

73808a91b5f59d158374f016e2d514225f1ca6bd

[ "MIT" ]

null

"""Convert shinkai ship Json to KcWiki Lua """ __all__ = ['main'] import json from collections import OrderedDict from utils import python_data_to_lua_table SHIPS_HR_JSON = 'json/ships_human_readable.json' SHIPS_LUA = 'lua/ships.lua' def shinkai_parse_ship(ships): """Get shinkai ships stored by python OrderedDi...

33.465347

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0.001995

0.25858

3,380

100

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0

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false

0

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0

0.118421

0.013158

0

null

0

null

0

1

0

9971ddcf2919c00539af25050648ccbd84f39ca4

6,547

py

Python

models/FCOSInference.py

meet-minimalist/FCOS-Pytorch-Implementation

e8ac1c6230174902732dbe8bcff3a87034f99517

[ "MIT" ]

null

models/FCOSInference.py

meet-minimalist/FCOS-Pytorch-Implementation

e8ac1c6230174902732dbe8bcff3a87034f99517

[ "MIT" ]

null

models/FCOSInference.py

meet-minimalist/FCOS-Pytorch-Implementation

e8ac1c6230174902732dbe8bcff3a87034f99517

[ "MIT" ]

null

import os import sys from typing_extensions import final sys.path.append("../") # TODO : Remove this append line import numpy as np import torch import torch.nn as nn from models.FCOS import FCOS from models.PostProcessor import PostProcessor import imgaug.augmenters as iaa from imgaug.augmentables.bbs import Bounding...

45.465278

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0.64625

895

6,547

4.463687

0.268156

0.027034

0.029787

0.035044

0.219524

0.171715

0.129912

0.080601

0.021026

0

0.037231

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6,547

143

132

45.783217

0.766754

0.111807

0

0.01

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0

0.006993

0

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false

0

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0.2

0.01

0

null

0

null

0

1

0

997f4b97d545477757e8bda91a697ce9e6990088

11,259

py

Python

kcclient/slidingmetrics.py

sanjeevm0/kcluster-client

5dda3f2a4ebc5811ec176aab70f48d9be5f6a731

[ "MIT" ]

null

kcclient/slidingmetrics.py

sanjeevm0/kcluster-client

5dda3f2a4ebc5811ec176aab70f48d9be5f6a731

[ "MIT" ]

null

kcclient/slidingmetrics.py

sanjeevm0/kcluster-client

5dda3f2a4ebc5811ec176aab70f48d9be5f6a731

[ "MIT" ]

1

2020-09-22T23:40:37.000Z

import math import sys import os import copy thisPath = os.path.dirname(os.path.realpath(__file__)) sys.path.append(thisPath) from enum import Enum from mlock import MLock import utils # Input.Cumulative means cumulative value is being input (e.g. total bytes) # Input.Average means time average is being input (e.g. by...

31.362117

112

0.518963

1,393

11,259

4.161522

0.168701

0.020528

0.028463

0.02415

0.267897

0.203036

0.186648

0.148525

0.13438

0.129032

0

0.036782

0.355271

11,259

358

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0

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0.214286

0.040816

0

null

0

null

0

1

0

997fb873a286d232b8c4f66af54539b644cf21c9

9,025

py

Python

oscar/lib/python2.7/site-packages/whoosh/analysis/ngrams.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

oscar/lib/python2.7/site-packages/whoosh/analysis/ngrams.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

oscar/lib/python2.7/site-packages/whoosh/analysis/ngrams.py

sainjusajan/django-oscar

466e8edc807be689b0a28c9e525c8323cc48b8e1

[ "BSD-3-Clause" ]

null

# Copyright 2007 Matt Chaput. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions a...

37.920168

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0.293954

0.278146

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0.166667

0

null

0

null

0

1

0

9982e59aaaa75c68bd3e08786c5defa1efb2e162

244

py

Python

demo/config.py

SDchao/nonebot

145d1787143584895375231210e30fdd3003d5bf

[ "MIT" ]

1

2021-01-19T03:57:23.000Z

demo/config.py

coffiasd/nonebot

c02b9a4ccf61126aa81e3f86b06b44685461af09

[ "MIT" ]

null

demo/config.py

coffiasd/nonebot

c02b9a4ccf61126aa81e3f86b06b44685461af09

[ "MIT" ]

null

import re from nonebot.default_config import * HOST = '0.0.0.0' SECRET = 'abc' SUPERUSERS = {1002647525} NICKNAME = {'奶茶', '小奶茶'} COMMAND_START = {'', '/', '!', '／', '！', re.compile(r'^>+\s*')} COMMAND_SEP = {'/', '.', re.compile(r'#|::?')}

20.333333

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11

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0

0.131148

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1

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false

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0

0.25

0

null

0

null

0

1

0

99843f08508767bdb980b0e376ab8912b933a55a

1,235

py

Python

sa_analysis.py

CarryChang/-Customer_satisfaction_Analysis

1d0edc9035302f826909fd462eab92e2a15dcfd9

[ "Apache-2.0" ]

341

2018-12-21T08:00:52.000Z

2022-03-31T00:31:31.000Z

sa_analysis.py

CarryChang/-Customer_satisfaction_Analysis

1d0edc9035302f826909fd462eab92e2a15dcfd9

[ "Apache-2.0" ]

5

2019-03-20T05:36:54.000Z

2020-08-27T03:00:47.000Z

sa_analysis.py

CarryChang/-Customer_satisfaction_Analysis

1d0edc9035302f826909fd462eab92e2a15dcfd9

[ "Apache-2.0" ]

111

2019-01-22T13:50:42.000Z

2022-03-12T12:34:53.000Z

# -*- coding: utf-8 -*- from litNlp.predict import SA_Model_Predict import matplotlib.pyplot as plt from setting import * import numpy as np import os plt.rcParams['font.sans-serif'] = ['SimHei'] plt.rcParams['axes.unicode_minus'] = False def topic_sa_analysis(): sa_model = SA_Model_Predict(tokenize_path, sa_model...

34.305556

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181

1,235

4.430939

0.453039

0.069825

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0.042394

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0

0.010547

0.155466

1,235

35

96

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0

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0

1

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false

0

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0

0.259259

0.111111

0

null

0

null

0

1

0

9985ca862cfcc11f8348e0629d58913ccb5353c8

22,570

py

Python

codalab_competition_bundle/AutoDL_starting_kit/AutoDL_simple_baseline_models/3dcnn_pytorch/model.py

NehzUx/autodl

c80fdc4b297ed1ec2b9e6911d313f1fe31d83cb9

[ "Apache-2.0" ]

25

2018-09-26T14:07:11.000Z

2021-12-02T15:19:08.000Z

codalab_competition_bundle/AutoDL_starting_kit/AutoDL_simple_baseline_models/3dcnn_pytorch/model.py

NehzUx/autodl

c80fdc4b297ed1ec2b9e6911d313f1fe31d83cb9

[ "Apache-2.0" ]

8

2018-11-23T15:35:28.000Z

2020-02-27T14:55:11.000Z

codalab_competition_bundle/AutoDL_starting_kit/AutoDL_simple_baseline_models/3dcnn_pytorch/model.py

NehzUx/autodl

c80fdc4b297ed1ec2b9e6911d313f1fe31d83cb9

[ "Apache-2.0" ]

5

2019-03-05T11:05:59.000Z

2020-01-08T13:05:35.000Z

# Copyright 2016 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...

39.946903

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null

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null

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1

0

99879b528d7993063b417f1a859d11a6963e5268

1,726

py

Python

2.linked-list/single-linked-list/remove-nth-from-end/test.py

tienduy-nguyen/coderust

d0884d7b3ced0d01e24b210284b9370432964274

[ "MIT" ]

null

2.linked-list/single-linked-list/remove-nth-from-end/test.py

tienduy-nguyen/coderust

d0884d7b3ced0d01e24b210284b9370432964274

[ "MIT" ]

null

2.linked-list/single-linked-list/remove-nth-from-end/test.py

tienduy-nguyen/coderust

d0884d7b3ced0d01e24b210284b9370432964274

[ "MIT" ]

null

class ListNode: def __init__(self, val, next = None): self.val = val self.next = next class LinkedList: def __init__(self): self.head = None def removeNthFromEnd(self, head, n): fast = slow = head for _ in range(n): if not fast: self.printNode(head) return hea...

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null

0

null

0

1

0

998cbf13c8435563780f89976a96d9d655cabb2a

14,049

py

Python

examples/notebooks/generating_yaml.py

wtgee/huntsman-pocs

c47976b1e52c5676a8237f6ee889555ede26d0e0

[ "MIT" ]

null

examples/notebooks/generating_yaml.py

wtgee/huntsman-pocs

c47976b1e52c5676a8237f6ee889555ede26d0e0

[ "MIT" ]

null

examples/notebooks/generating_yaml.py

wtgee/huntsman-pocs

c47976b1e52c5676a8237f6ee889555ede26d0e0

[ "MIT" ]

null

import yaml import os import datetime import ipywidgets as widgets from ipywidgets import interact, interactive, fixed, interact_manual from IPython.display import display import sys class POCS_devices_database(object): """ This class manages serial numbers and other information of multiple devices being used...

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0

null

0

null

0

1

0

999192f10fb8b2831dc1f5ac84ee5ab0849ed0de

4,231

py

Python

synapse/resources/directories-plugin/directories.py

comodit/synapse-agent

ee3c6c2ec07ba34e821529f3e097123326b8b9c5

[ "MIT" ]

5

2015-11-05T05:44:08.000Z

2021-02-09T06:00:21.000Z

synapse/resources/directories-plugin/directories.py

comodit/synapse-agent

ee3c6c2ec07ba34e821529f3e097123326b8b9c5

[ "MIT" ]

2

2017-08-13T09:36:41.000Z

2017-08-13T09:36:58.000Z

synapse/resources/directories-plugin/directories.py

comodit/synapse-agent

ee3c6c2ec07ba34e821529f3e097123326b8b9c5

[ "MIT" ]

3

2015-09-30T20:08:19.000Z

2020-08-19T19:24:04.000Z

import getpass from datetime import datetime from synapse.resources.resources import ResourcesController from synapse.logger import logger from synapse.synapse_exceptions import ResourceException @logger class DirectoriesController(ResourcesController): __resource__ = "directories" def read(self, res_id=No...

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0.282353

0

null

0

null

0

1

0

9992b282a524485f8001963cb892f9c2c4eb3263

3,532

py

Python

biothings/web/handlers/_flask.py

newgene/biothings.api

e3278695ac15a55fe420aa49c464946f81ec019d

[ "Apache-2.0" ]

30

2017-07-23T14:50:29.000Z

2022-02-08T08:08:16.000Z

biothings/web/handlers/_flask.py

kevinxin90/biothings.api

8ff3bbaecd72d04db4933ff944898ee7b7c0e04a

[ "Apache-2.0" ]

163

2017-10-24T18:45:40.000Z

2022-03-28T03:46:26.000Z

biothings/web/handlers/_flask.py

newgene/biothings.api

e3278695ac15a55fe420aa49c464946f81ec019d

[ "Apache-2.0" ]

22

2017-06-12T18:30:15.000Z

2022-03-01T18:10:47.000Z

from functools import wraps from types import CoroutineType import flask from biothings.web import templates from biothings.web.options import OptionError from biothings.web.query.pipeline import (QueryPipelineException, QueryPipelineInterrupt) from tornado.template import Loa...

32.40367

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0

null

0

null

0

1

0

99949b7499fb18d01405577641cf1fb6c9a87917

258

py

Python

tests/abs/test_product.py

powerpenguincat/practice-atcoder

6c656d0ebe3fc12d7df50112af2ef5c946bbaf46

[ "MIT" ]

null

tests/abs/test_product.py

powerpenguincat/practice-atcoder

6c656d0ebe3fc12d7df50112af2ef5c946bbaf46

[ "MIT" ]

null

tests/abs/test_product.py

powerpenguincat/practice-atcoder

6c656d0ebe3fc12d7df50112af2ef5c946bbaf46

[ "MIT" ]

null

import pytest from practice_atcoder.abs.product import question class Test(object): @pytest.mark.parametrize("ab,expect", [ ("3 4", "Even"), ("1 21", "Odd"), ]) def test(self, ab, expect): assert question(ab) == expect

19.846154

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12

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0

0.444444

0

null

0

null

0

1

0

999a7897f8cea7a46091c8b50a7b40974c139967

32,457

py

Python

networks/meta/past_grads_v2.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

networks/meta/past_grads_v2.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

networks/meta/past_grads_v2.py

annachen/dl_playground

f263dc16b4f0d91f6d33d94e678a9bbe2ace8913

[ "MIT" ]

null

"""Meta network using past gradients.""" import tensorflow as tf class DualRNN(tf.keras.layers.Layer): """ Pretty similar to LayerCompetition, except: 1) Optionally aggregate features across batch before feeding into the RNN. Doing this because if the RNN states were to represent training s...

32.23138

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32,457

3.527957

0.077172

0.008514

0.007663

0.006025

0.722051

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0

0.015437

0.381305

32,457

1,006

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0

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0

0.06655

0

null

0

null

0

1

0

999b30e3b541222c64dd017084efe4cadab334f9

5,193

py

Python

imessage_extractor/src/helpers/utils.py

tsouchlarakis/imessage-extractor

e77bee947e19ac3f30ffd60faf7d444ded336b3b

[ "MIT" ]

1

2021-12-17T05:41:49.000Z

imessage_extractor/src/helpers/utils.py

tsouchlarakis/imessage-extractor

e77bee947e19ac3f30ffd60faf7d444ded336b3b

[ "MIT" ]

2

2021-08-22T02:15:40.000Z

2022-01-16T23:15:01.000Z

imessage_extractor/src/helpers/utils.py

tsouchlarakis/imessage-extractor

e77bee947e19ac3f30ffd60faf7d444ded336b3b

[ "MIT" ]

null

import os import pathlib import re import typing def fmt_seconds(time_in_sec: int, units: str='auto', round_digits: int=4) -> dict: """ Format time in seconds to a custom string. `units` parameter can be one of 'auto', 'seconds', 'minutes', 'hours' or 'days'. """ if units == 'auto': if tim...

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0

null

0

null

0

1

0

999c1286569e2835ef7654c27f554b9341e671ee

590

py

Python

tools/formats parser/match_parser.py

TheUberCatman/pastebin_rust_api

11441311ca26c9f81539ec7302ddda49528e62a0

[ "Apache-2.0" ]

1

2017-05-30T07:33:56.000Z

tools/formats parser/match_parser.py

Catman155/pastebin_rust_api

11441311ca26c9f81539ec7302ddda49528e62a0

[ "Apache-2.0" ]

1

2018-03-09T19:11:38.000Z

tools/formats parser/match_parser.py

Catman155/pastebin_rust_api

11441311ca26c9f81539ec7302ddda49528e62a0

[ "Apache-2.0" ]

null

# Source of values.txt: 'https://pastebin.com/api/' values = [] with open('values.txt', 'r') as myfile: data = myfile.read() data = data.split("\n") for d in data: result = d.split(" = ") values.append(result[0].replace(" ", "")) # rust_formats.txt is the list of the Enum present in src/pa...

29.5

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0.075949

0.21519

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19

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0

0.066667

0

null

0

null

0

1

0

999c8e70e080ff7ed7117aa1db45dd0b42791638

2,545

py

Python

Decrypt.py

momma-regen/P-C_Gif_Ripper

f6d4b8d84144113953abc3969544b5117adb2a12

[ "Unlicense" ]

null

Decrypt.py

momma-regen/P-C_Gif_Ripper

f6d4b8d84144113953abc3969544b5117adb2a12

[ "Unlicense" ]

null

Decrypt.py

momma-regen/P-C_Gif_Ripper

f6d4b8d84144113953abc3969544b5117adb2a12

[ "Unlicense" ]

null

import regex as re from math import ceil from typing import List from ByteReader import Reader, SeekOrigin as so from DataTypes import int_32 class rpg_file: offset: int_32 = int_32(0) size: int_32 = int_32(0) key: int_32 = int_32(0) name: str def decrypt_name(data: bytes, key: int|int_32)...

31.036585

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0.215441

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0

0.045066

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0

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0.015625

0

null

0

null

0

1

0

99a126cb801c61ecd90be2fe3d5f2ec97ac26d6d

1,308

py

Python

Process_Threads/mul_threading.py

CrazyBBer/Python-Learn-Sample

3bd0694327db6c662c6cc3bdf91c6261daa4b6cf

[ "MIT" ]

2

2020-05-02T11:24:37.000Z

2020-05-02T13:49:18.000Z

Process_Threads/mul_threading.py

crazybber/pythontrip

062ba71dfe6729ecc606eff7260b1c39497b6456

[ "MIT" ]

null

Process_Threads/mul_threading.py

crazybber/pythontrip

062ba71dfe6729ecc606eff7260b1c39497b6456

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding utf-8 -*- __Author__='eamon' 'threading multithreading ' import time,threading def loop(): print('thread %s is running ...' % threading.current_thread().name) n=0 while n <5: n+=1 print('thread %s >> %s ' %(threading.current_thread().name,n)) time.sleep(1) print('threa...

17.917808

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0.148233

0.374002

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0.107184

0

0.020739

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0

0.125

0

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false

0

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0.1875

0.145833

0

null

0

null

0

1

0

99a1822f416a16569175d3648ee1cf50474498cd

941

py

Python

challenges/merge_sort/merge_sort.py

nastinsk/python-data-structures-and-algorithms

505b26a70fb846f6e9d0681bbe4f77e3797acf2d

[ "MIT" ]

null

challenges/merge_sort/merge_sort.py

nastinsk/python-data-structures-and-algorithms

505b26a70fb846f6e9d0681bbe4f77e3797acf2d

[ "MIT" ]

null

challenges/merge_sort/merge_sort.py

nastinsk/python-data-structures-and-algorithms

505b26a70fb846f6e9d0681bbe4f77e3797acf2d

[ "MIT" ]

3

2020-05-31T03:25:49.000Z

2020-12-05T21:03:13.000Z

def merge_sort(lst): """function to prvide a merge sort on the given list, calles recursively """ n = len(lst) if n > 1: mid = n//2 left = lst[: mid] right = lst[mid:] # sort the left side merge_sort(left) # sort the right side merge_sort(right) ...

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0.4644

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0.078341

0.036866

0

0.018416

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false

0

0.068966

0

null

0

null

0

1

0

99a4c98326e7361f9a182bd46371aea1ad73b400

4,401

py

Python

array_str_problems/zero_matrix.py

UPstartDeveloper/Problem_Solving_Practice

bd61333b3b056e82a94297e02bc05a17552e3496

[ "MIT" ]

null

array_str_problems/zero_matrix.py

UPstartDeveloper/Problem_Solving_Practice

bd61333b3b056e82a94297e02bc05a17552e3496

[ "MIT" ]

null

array_str_problems/zero_matrix.py

UPstartDeveloper/Problem_Solving_Practice

bd61333b3b056e82a94297e02bc05a17552e3496

[ "MIT" ]

null

""" Zero Matrix: Write an algorithm such that if an element in an MxN matrix is 0, its entire row and column are set to O. Clarifying Questions and Assumptions: - so we have a rectangular matrix? yes - just integers? yes - and what are the inputs to the function? - are we given the indicies of a single elemen...

25.736842

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0.498523

670

4,401

3.226866

0.258209

0.031452

0.037465

0.044403

0.120722

0.061055

0.049954

0.043478

0.036078

0

0.067598

0.398319

4,401

170

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25.888235

0.748867

0.735287

0

0.005882

0

1

0.16

false

0

0.04

0

0.28

0

null

0

null

0

1

0

99a63044e63f7d7aad2a8fc043b98abc40e94cd5

2,316

py

Python

arc/utility_functions/batch_generator.py

stalhabukhari/ARC

a5efc44c3af0714e07a60204cc7c3a8ca19ef20e

[ "MIT" ]

null

arc/utility_functions/batch_generator.py

stalhabukhari/ARC

a5efc44c3af0714e07a60204cc7c3a8ca19ef20e

[ "MIT" ]

null

arc/utility_functions/batch_generator.py

stalhabukhari/ARC

a5efc44c3af0714e07a60204cc7c3a8ca19ef20e

[ "MIT" ]

1

2022-03-18T10:55:57.000Z

""" batch_generator.py """ import os, random import numpy as np from PIL import Image import tensorflow as tf from tensorflow.keras.preprocessing.image import img_to_array, load_img from tensorflow.keras.utils import to_categorical as tocat_fn Image.LOAD_TRUNCATED_IMAGES = True class BatchGenerator(tf.keras.utils.S...

33.085714

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2,316

4.637821

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0.033172

0.01935

0.023497

0

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0.233161

2,316

69

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0.041883

0

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0.145833

false

0

0.125

0

0.416667

0

null

0

null

0

1

0

99a8aebcdbc0b31659e37d72e454787e67305614

663

py

Python

names.py

EggSquishIt/mcserver

f9e98f100f7d1e4b9d4fc306ca33255619d5504f

[ "MIT" ]

3

2020-08-29T13:33:30.000Z

2020-10-03T15:40:30.000Z

names.py

EggSquishIt/mcserver

f9e98f100f7d1e4b9d4fc306ca33255619d5504f

[ "MIT" ]

3

2020-10-10T17:06:19.000Z

2020-11-14T15:21:26.000Z

names.py

EggSquishIt/mcserver

f9e98f100f7d1e4b9d4fc306ca33255619d5504f

[ "MIT" ]

1

2020-10-10T13:09:27.000Z

import random vowels = [ "a", "au", "o", "e", "i", "u", ] prefixes = [ "b", "c", "d", "f", "g", "gh", "h", "k", "l", "m", "n", "p", "qu", "r", "s", "t", "v", "w", "x", "y", "z" ] suffixes = [ "b", "c", "cc", "ck", "d", "dd", "f", "g", "gh", "h", "i", "k", "l", "ll", "m", "n...

8.84

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0.027875

0.034843

0

0.01002

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663

74

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0.56513

0

0.608696

0

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0

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false

0

0.014493

0.072464

0

null

0

null

0

1

0

99a903a06e260b2c7198a42a0a29f263e277358e

245

py

Python

attempt.py

hoshen20-meet/meet2018y1lab6

68e70de443eba980b1de8b865eea8337aa82e6d3

[ "MIT" ]

null

attempt.py

hoshen20-meet/meet2018y1lab6

68e70de443eba980b1de8b865eea8337aa82e6d3

[ "MIT" ]

null

attempt.py

hoshen20-meet/meet2018y1lab6

68e70de443eba980b1de8b865eea8337aa82e6d3

[ "MIT" ]

null

import turtle colors = ['green','blue','orange', 'red'] turtle.speed(900) for i in range(99999999): turtle.pencolor(colors[i%4]) turtle.bgcolor('black') turtle.forward(i) turtle.degrees() turtle.right(70)

13.611111

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0

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0.111111

0

null

0

null

0

1

0

99a9c7e2da4c504b1d30c8fa7fb339aa5d8ceae5

4,444

py

Python

nr_common/image_utils/image_utils_caffe.py

nitred/nr-common

f251e76fe10cb46f609583922d485013f5cba92b

[ "MIT" ]

null

nr_common/image_utils/image_utils_caffe.py

nitred/nr-common

f251e76fe10cb46f609583922d485013f5cba92b

[ "MIT" ]

1

2018-01-07T19:03:35.000Z

nr_common/image_utils/image_utils_caffe.py

nitred/nr-common

f251e76fe10cb46f609583922d485013f5cba92b

[ "MIT" ]

1

2018-09-20T02:31:18.000Z

"""Utility functions.""" import numpy as np def caffe_load_image(image_filename): """Load image using caffe.io.load_image. This is to maintain shape expectation across the caffe library. Args: image_filename (str): String filename. Returns: numpy.ndarray: an image with the following...

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99aa9d14b3d5ad7bbef547b6bdc0baea743dd41e

1,183

py

Python

ENV/lib/python3.5/site-packages/pyrogram/session/internals/msg_id.py

block1o1/CryptoPredicted

7f660cdc456fb8252b3125028f31fd6f5a3ceea5

[ "MIT" ]

4

2021-10-14T21:22:25.000Z

2022-03-12T19:58:48.000Z

ENV/lib/python3.5/site-packages/pyrogram/session/internals/msg_id.py

inevolin/CryptoPredicted

7f660cdc456fb8252b3125028f31fd6f5a3ceea5

[ "MIT" ]

null

ENV/lib/python3.5/site-packages/pyrogram/session/internals/msg_id.py

inevolin/CryptoPredicted

7f660cdc456fb8252b3125028f31fd6f5a3ceea5

[ "MIT" ]

1

2022-03-15T22:52:53.000Z

# Pyrogram - Telegram MTProto API Client Library for Python # Copyright (C) 2017-2018 Dan Tès <https://github.com/delivrance> # # This file is part of Pyrogram. # # Pyrogram is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published # by the Free S...

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null

0

null

0

1

0

41d445f8f3d6e55aedb38945121914b577aa660c

1,967

py

Python

CNN using tensorflow.py

Highcourtdurai/Deep-learning

b9aed4f0973709ce407006311cef28a7a183787f

[ "Apache-2.0" ]

null

CNN using tensorflow.py

Highcourtdurai/Deep-learning

b9aed4f0973709ce407006311cef28a7a183787f

[ "Apache-2.0" ]

null

CNN using tensorflow.py

Highcourtdurai/Deep-learning

b9aed4f0973709ce407006311cef28a7a183787f

[ "Apache-2.0" ]

null

import tensorflow as tf import numpy as np import matplotlib.pyplot as plt #Fasion mnist=data of accesories like boats,dresses,bags etc fashion_mnist=tf.keras.datasets.fashion_mnist (train_images,train_labels),(test_images,test_labels)=fashion_mnist.load_data() print(train_images.shape) print(train_lab...

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0

null

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1

0

41d44b79dc2869fa41ba2410af3f958c1f765b2a

1,489

py

Python

Assignment-2/visualization.py

LuciFR1809/DAA-Assignments

0f2faaf2f545cb81da8c86bdd370646694c2c756

[ "BSD-3-Clause" ]

null

Assignment-2/visualization.py

LuciFR1809/DAA-Assignments

0f2faaf2f545cb81da8c86bdd370646694c2c756

[ "BSD-3-Clause" ]

null

Assignment-2/visualization.py

LuciFR1809/DAA-Assignments

0f2faaf2f545cb81da8c86bdd370646694c2c756

[ "BSD-3-Clause" ]

null

## # @file visualization.py # @brief Python file for visualization of the testcase. # Contains the driver code for reading the file and plotting it. # # @authors Kumar Pranjal 2018A7PS0163H # @authors Ashna Swaika 2018A7PS0027H # @authors Abhishek Bapna 2018A7PS0184H # @authors Ashish Verma 2018A7PS0009H # Im...

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null

0

null

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1

0

41d697a0f4888c1996ea9e1ef9843309eaf50ff0

2,744

py

Python

tremana/analysis/transformations.py

s-weigand/tremana

98a8a546c79ce4f248b3955da21374edfdd61dee

[ "Apache-2.0" ]

1

2022-03-07T02:52:25.000Z

tremana/analysis/transformations.py

s-weigand/tremana

98a8a546c79ce4f248b3955da21374edfdd61dee

[ "Apache-2.0" ]

9

2021-04-26T07:08:27.000Z

2022-03-28T07:23:31.000Z

tremana/analysis/transformations.py

s-weigand/tremana

98a8a546c79ce4f248b3955da21374edfdd61dee

[ "Apache-2.0" ]

null

"""Transformations to be used on tremor accelerometry data (e.g.: FFT).""" from __future__ import annotations from typing import Iterable import numpy as np import pandas as pd from scipy.signal import periodogram def fft_spectra( input_dataframe: pd.DataFrame, columns: Iterable[str] | None = None, samp...

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null

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null

0

1

0

41d69abf160b8ce1e4074dd51d9496b0510b87af

12,633

py

Python

Prod_CV_NLP_API/flask/app.py

micintron/computer_vission_OCR

1fdd521b334f6e5958958ccf816341531b783a21

[ "CNRI-Python" ]

1

2021-02-25T09:52:46.000Z

Prod_CV_NLP_API/flask/app.py

micintron/computer_vission_OCR

1fdd521b334f6e5958958ccf816341531b783a21

[ "CNRI-Python" ]

null

Prod_CV_NLP_API/flask/app.py

micintron/computer_vission_OCR

1fdd521b334f6e5958958ccf816341531b783a21

[ "CNRI-Python" ]

null

""" API to grab text content from images ID's and pdf's. Endpoints --------- * GET /: root: shows api info to new users on run * POST /: convert_pdf_to_image: converts a pdf doc to an image for processing * POST /: passport: extracts target text based information from pasport * POST /:...

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null

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null

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1

0

41d72f12694e72053874661915e1331274883431

5,540

py

Python

py/umpire/server/service/multicast_unittest.py

arccode/factory

a1b0fccd68987d8cd9c89710adc3c04b868347ec

[ "BSD-3-Clause" ]

3

2022-01-06T16:52:52.000Z

2022-03-07T11:30:47.000Z

py/umpire/server/service/multicast_unittest.py

arccode/factory

a1b0fccd68987d8cd9c89710adc3c04b868347ec

[ "BSD-3-Clause" ]

null

py/umpire/server/service/multicast_unittest.py

arccode/factory

a1b0fccd68987d8cd9c89710adc3c04b868347ec

[ "BSD-3-Clause" ]

1

2021-10-24T01:47:22.000Z

#!/usr/bin/env python3 # # Copyright 2021 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import os import unittest from unittest import mock from cros.factory.umpire.server.service import multicast from cros.factory.u...

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0.173228

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null

0

null

0

1

0

41dae6ca6afa36e98373f82982a75e2c50d8cc74

571

py

Python

DigitRecognition/go-test.py

shifuture/kaggle-join

8cc8fb6042982cba1d9a0eced1488c5a13557e80

[ "MIT" ]

null

DigitRecognition/go-test.py

shifuture/kaggle-join

8cc8fb6042982cba1d9a0eced1488c5a13557e80

[ "MIT" ]

null

DigitRecognition/go-test.py

shifuture/kaggle-join

8cc8fb6042982cba1d9a0eced1488c5a13557e80

[ "MIT" ]

null

#!/usr/local/bin/python # -*- coding: utf-8 -*- import csv import numpy as np def loadTestData(): l=[] with open('./data/test.csv') as file: lines=csv.reader(file) for line in lines: l.append(list(e if e=='0' else 1 for e in line)) #remove csv head l.remove(l[0]) data=n...

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0

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0.25

0

null

0

null

0

1

0

41dc7c7b8b8afe1b3ff6333c9f01816fc91e0652

54,070

py

Python

src/funcFit/TutorialExampleSanity.py

mirofedurco/PyAstronomy

b0e5806a18bde647654e6c9de323327803722864

[ "MIT" ]

98

2015-01-01T12:46:05.000Z

2022-02-13T14:17:36.000Z

src/funcFit/TutorialExampleSanity.py

mirofedurco/PyAstronomy

b0e5806a18bde647654e6c9de323327803722864

[ "MIT" ]

46

2015-02-10T19:53:38.000Z

2022-01-11T17:26:05.000Z

src/funcFit/TutorialExampleSanity.py

mirofedurco/PyAstronomy

b0e5806a18bde647654e6c9de323327803722864

[ "MIT" ]

38

2015-01-08T17:00:34.000Z

2022-03-04T05:15:22.000Z

from __future__ import print_function, division import unittest import os class ExampleSanity(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def sanity_firstExample(self): # Import numpy and matplotlib from numpy import arange, sqrt, exp, pi, random, ones import mat...

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0

null

0

null

0

1

0

41de05126656eb0665e6b6dd493d706236d85602

2,905

py

Python

virtual_machines/update-matching-table.py

AmoVanB/chameleon-end-host

573e1dccdaf4ca2bebedc96a7b902e622c50acab

[ "Apache-2.0" ]

null

virtual_machines/update-matching-table.py

AmoVanB/chameleon-end-host

573e1dccdaf4ca2bebedc96a7b902e622c50acab

[ "Apache-2.0" ]

null

virtual_machines/update-matching-table.py

AmoVanB/chameleon-end-host

573e1dccdaf4ca2bebedc96a7b902e622c50acab

[ "Apache-2.0" ]

null

#!/usr/bin/python3 """ This script, to be used by VM 0, sends a configuration message to the virtual switch to create a particular tagging and shaping rule. Author: Amaury Van Bemten <amaury.van-bemten@tum.de> """ from scapy.all import * import sys # import scapy config from scapy.all import conf as scapyconf # dis...

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null

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41df73d109c0b036f4dc5a0fd33804ce5856c662

1,351

py

Python

radSeqAmp/_versioninfo.py

msettles/radSeqAmp

a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f

[ "Apache-2.0" ]

null

radSeqAmp/_versioninfo.py

msettles/radSeqAmp

a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f

[ "Apache-2.0" ]

null

radSeqAmp/_versioninfo.py

msettles/radSeqAmp

a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f

[ "Apache-2.0" ]

null

# _versioninfo.py # # gets the version number from the package info # checks it agains the github version import sys from pkg_resources import get_distribution, parse_version try: _dist = get_distribution('radSeqAmp') version_num = _dist.version except: version_num = 'Please install this project with setup...

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null

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1

0

41df8366d44990c149549ad5a6aecb5e9bc2fcdb

5,835

py

Python

weekly_degradation.py

rajeevratan84/LTE-KPI-Anomaly-Detection

b5d3ce261f75b94956867645fd3479c0b2eb0cd8

[ "MIT" ]

null

weekly_degradation.py

rajeevratan84/LTE-KPI-Anomaly-Detection

b5d3ce261f75b94956867645fd3479c0b2eb0cd8

[ "MIT" ]

null

weekly_degradation.py

rajeevratan84/LTE-KPI-Anomaly-Detection

b5d3ce261f75b94956867645fd3479c0b2eb0cd8

[ "MIT" ]

null

#!/usr/bin/env python from configuration.settings import Conf from database.sql_connect import SQLDatabase from KPIForecaster.forecaster import KPIForecaster from datetime import datetime import pandas as pd import numpy as np import time import sys import os.path def findDegradation(df, weeks = 3): df_prev = df.s...

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0

null

0

null

0

1

0

41e5525e7a720e9de54e83ab3802a2d8a16f8134

7,937

py

Python

starthinker/tool/example.py

Ressmann/starthinker

301c5cf17e382afee346871974ca2f4ae905a94a

[ "Apache-2.0" ]

138

2018-11-28T21:42:44.000Z

2022-03-30T17:26:35.000Z

starthinker/tool/example.py

Ressmann/starthinker

301c5cf17e382afee346871974ca2f4ae905a94a

[ "Apache-2.0" ]

36

2019-02-19T18:33:20.000Z

2022-01-24T18:02:44.000Z

starthinker/tool/example.py

Ressmann/starthinker

301c5cf17e382afee346871974ca2f4ae905a94a

[ "Apache-2.0" ]

54

2018-12-06T05:47:32.000Z

2022-02-21T22:01:01.000Z

########################################################################### # # Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/l...

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null

0

null

0

1

0

41eda4e4dba365b6d5b2482768194356e609bc8f

596

py

Python

scraper/collect_image_stats/get_domains_and_urls.py

martinGalajdaSchool/object-detection

2c72b643464a89b91daac520a862ebaad2b3f9f0

[ "Apache-2.0" ]

2

2019-12-11T05:50:39.000Z

2021-12-06T12:28:40.000Z

scraper/collect_image_stats/get_domains_and_urls.py

martinGalajdaSchool/object-detection

2c72b643464a89b91daac520a862ebaad2b3f9f0

[ "Apache-2.0" ]

19

2019-12-16T21:23:00.000Z

2022-03-02T14:59:12.000Z

scraper/collect_image_stats/get_domains_and_urls.py

martin-galajda/object-detection

2c72b643464a89b91daac520a862ebaad2b3f9f0

[ "Apache-2.0" ]

null

import csv def get_domains_and_urls(): domains = [] urls = [] with open('./scraper/foto-domains-2019-03.csv', 'r') as csvfile: csvreader = csv.reader(csvfile, delimiter=',') row_idx = 0 for row in csvreader: if row_idx == 0: row_idx += 1 ...

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0

null

0

null

0

1

0

41efccef82f28d187c0597489e64c7649630dd85

864

py

Python

TreeDFS/SumPathNumbers.py

Feez/Algo-Challenges

6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e

[ "MIT" ]

2

2019-12-03T05:29:35.000Z

2020-01-19T19:22:11.000Z

TreeDFS/SumPathNumbers.py

Feez/Algo-Challenges

6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e

[ "MIT" ]

null

TreeDFS/SumPathNumbers.py

Feez/Algo-Challenges

6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e

[ "MIT" ]

null

class TreeNode: def __init__(self, val, left=None, right=None): self.val = val self.left = left self.right = right def dfs(self, total=0): total = (total * 10) + self.val if self.left is None and self.right is None: return total left = 0 rig...

22.153846

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38

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false

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0.037037

0

null

0

null

0

1

0

41f244af008573d038af8edc1801e70f08cd96ac

1,730

py

Python

src/src/modules/ZeroOptimizer.py

ychnlgy/LipoWithGradients

4fe5228a3dae8bf5d457eef6191ba29314421f6b

[ "MIT" ]

null

src/src/modules/ZeroOptimizer.py

ychnlgy/LipoWithGradients

4fe5228a3dae8bf5d457eef6191ba29314421f6b

[ "MIT" ]

null

src/src/modules/ZeroOptimizer.py

ychnlgy/LipoWithGradients

4fe5228a3dae8bf5d457eef6191ba29314421f6b

[ "MIT" ]

null

import torch EPS = 1e-32 class ZeroOptimizer(torch.optim.SGD): def step(self): lr = self.param_groups[0]["lr"] with torch.no_grad(): for group in self.param_groups: for p in group["params"]: if p.grad is not None: p.grad = ca...

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null

0

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0

41f5bd3c227b6e90d9957fe3e9834571a6c5a926

2,010

py

Python

python_lesson_4/python_lesson_4_homework_lightplus.py

cubecloud/simple_python

2bc4ee1720214293dabfa5dbe661a49246c38842

[ "MIT" ]

null

python_lesson_4/python_lesson_4_homework_lightplus.py

cubecloud/simple_python

2bc4ee1720214293dabfa5dbe661a49246c38842

[ "MIT" ]

1

2020-04-24T10:19:24.000Z

python_lesson_4/python_lesson_4_homework_lightplus.py

cubecloud/simple_python

2bc4ee1720214293dabfa5dbe661a49246c38842

[ "MIT" ]

null

# задача # В файле с логами найти дату самого позднего лога (по метке времени): log_file_name = 'log' # Вариант 1 # # открываем и читаем файл with open(log_file_name, 'r', encoding='utf-8') as text_file: max_date_str = '' # Читаем строку и сравниваем for line in text_file: if line[:23] > max_date_s...

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null

0

null

0

1

0

41f650c872145facc783efbfb2b0dadcd4920f2a

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py

Python

sappy/m4a.py

SomeShrug/SapPy

cee216bc5f89f0479748efdbeb75c4781d95b0f7

[ "MIT" ]

4

2018-04-21T15:43:50.000Z

2018-07-10T17:11:31.000Z

sappy/m4a.py

SomeShrug/SapPy

cee216bc5f89f0479748efdbeb75c4781d95b0f7

[ "MIT" ]

null

sappy/m4a.py

SomeShrug/SapPy

cee216bc5f89f0479748efdbeb75c4781d95b0f7

[ "MIT" ]

1

2018-04-08T03:00:06.000Z

# -*- coding: utf-8 -*- """Data-storage containers for internal use.""" import copy import math from collections import OrderedDict, deque from enum import IntEnum from random import random from typing import Dict, List, NamedTuple, Union, Tuple, Deque from .config import (BASE_FREQUENCY, PSG_SQUARE_FREQUENCY, PSG_SQU...

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41f7aa5d337d6a6a04c73fadceef0f5775c6ce5a

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py

Python

examples/manifold/plot_swissroll.py

jlopezNEU/scikit-learn

593495eebc3c2f2ffdb244036adf57fab707a47d

[ "BSD-3-Clause" ]

50,961

2015-01-01T06:06:31.000Z

2022-03-31T23:40:12.000Z

examples/manifold/plot_swissroll.py

ashutoshpatelofficial/scikit-learn

2fc9187879424556726d9345a6656884fa9fbc20

[ "BSD-3-Clause" ]

17,065

2015-01-01T02:01:58.000Z

2022-03-31T23:48:34.000Z

examples/manifold/plot_swissroll.py

ashutoshpatelofficial/scikit-learn

2fc9187879424556726d9345a6656884fa9fbc20

[ "BSD-3-Clause" ]

26,886

2015-01-01T00:59:27.000Z

2022-03-31T18:03:23.000Z

""" =================================== Swiss Roll And Swiss-Hole Reduction =================================== This notebook seeks to compare two popular non-linear dimensionality techniques, T-distributed Stochastic Neighbor Embedding (t-SNE) and Locally Linear Embedding (LLE), on the classic Swiss Roll dataset. Then...

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null

0

null

0

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41f7f839e3be35c24720ab38c662be95d99e2886

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py

Python

INF101/TP/TP9/2.9.3.py

Marshellson/UGA_IMF

eb293deabcc5ef6e45617d8c5bb6268b63b34f21

[ "MIT" ]

1

2021-09-21T21:53:17.000Z

INF101/TP/TP9/2.9.3.py

Marshellson/UGA_INF

eb293deabcc5ef6e45617d8c5bb6268b63b34f21

[ "MIT" ]

null

INF101/TP/TP9/2.9.3.py

Marshellson/UGA_INF

eb293deabcc5ef6e45617d8c5bb6268b63b34f21

[ "MIT" ]

null

''' Author: JIANG Yilun Date: 2021-12-01 13:01:29 LastEditTime: 2021-12-01 13:30:06 LastEditors: JIANG Yilun Description: FilePath: /INF_101/INF101/TP/TP9/2.9.3.py ''' import random def initiale()->dict: nombre_de_personnes = int(input("Entrez le nombre de personnes: ")) dict_personnes = {} for i in ran...

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null

0

null

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41f845926aa3ec217a14d9100d2e6f115eb277d1

322

py

Python

HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py

PKUfudawei/cmssw

8fbb5ce74398269c8a32956d7c7943766770c093

[ "Apache-2.0" ]

1

2021-11-30T16:24:46.000Z

HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py

PKUfudawei/cmssw

8fbb5ce74398269c8a32956d7c7943766770c093

[ "Apache-2.0" ]

4

2021-11-29T13:57:56.000Z

2022-03-29T06:28:36.000Z

HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py

PKUfudawei/cmssw

8fbb5ce74398269c8a32956d7c7943766770c093

[ "Apache-2.0" ]

1

2021-11-23T09:25:45.000Z

import FWCore.ParameterSet.Config as cms LowPtTrimuonPSet = cms.PSet( hltPathsToCheck = cms.vstring( ), recMuonLabel = cms.InputTag("muons"), # -- Analysis specific cuts minCandidates = cms.uint32(3), # -- Analysis specific binnings parametersDxy = cms.vdouble(50, -2.500, 2.500), ...

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null

0

null

0

1

0

41fa41d8007e097936f791c465cb628fb82b64ed

3,021

py

Python

see/test/hooks_manager_test.py

nethunterslabs/see

da9387950d5db7c30ad8a5d1ba12e884afe8b1bb

[ "Apache-2.0" ]

null

see/test/hooks_manager_test.py

nethunterslabs/see

da9387950d5db7c30ad8a5d1ba12e884afe8b1bb

[ "Apache-2.0" ]

null

see/test/hooks_manager_test.py

nethunterslabs/see

da9387950d5db7c30ad8a5d1ba12e884afe8b1bb

[ "Apache-2.0" ]

null

import copy import mock import unittest from see import Hook from see import hooks CONFIG = { "configuration": {"key": "value"}, "hooks": [ { "name": "see.test.hooks_manager_test.TestHook", "configuration": {"foo": "bar"}, }, {"name": "see.test.hooks_manager_te...

31.14433

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0.3

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null

0

null

0

1

0

41fab0cdfc218549b2a3694e2626d8da1755a58e

10,467

py

Python

massloss_glacier2latlongrid.py

Wang518hongyu/PyGEM

1c9fa133133b3d463b1383d4792c535fa61c5b8d

[ "MIT" ]

25

2019-06-12T21:08:24.000Z

2022-03-01T08:05:14.000Z

massloss_glacier2latlongrid.py

Wang518hongyu/PyGEM

1c9fa133133b3d463b1383d4792c535fa61c5b8d

[ "MIT" ]

2

2020-04-23T14:08:00.000Z

2020-06-04T13:52:44.000Z

massloss_glacier2latlongrid.py

Wang518hongyu/PyGEM

1c9fa133133b3d463b1383d4792c535fa61c5b8d

[ "MIT" ]

24

2019-06-12T19:48:40.000Z

2022-02-16T03:42:53.000Z

""" Analyze MCMC output - chain length, etc. """ # Built-in libraries from collections import OrderedDict import datetime import glob import os import pickle # External libraries import cartopy import matplotlib as mpl import matplotlib.pyplot as plt from matplotlib.pyplot import MaxNLocator from matplotlib.lines impo...

41.868

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0.160244

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0.052475

0.034148

0

0.020214

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10,467

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124

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0

null

0

null

0

1

0

5100b17784b04cdb6c2f4076aaca2a9b3a839c93

56,140

py

Python

entry/main.py

way864/BattleTracker

7204d613165b1c461ee301e5078cd4e2b7a072c4

[ "MIT" ]

null

entry/main.py

way864/BattleTracker

7204d613165b1c461ee301e5078cd4e2b7a072c4

[ "MIT" ]

null

entry/main.py

way864/BattleTracker

7204d613165b1c461ee301e5078cd4e2b7a072c4

[ "MIT" ]

null

import math import random import json import copy from tkinter.constants import COMMAND from zipfile import ZipFile import PIL.Image from PIL import ImageTk import tkinter as tk from tkinter import ttk, font, messagebox from ttkthemes import ThemedStyle from tooltip import * from event_manager import EventManager fro...

48.271711

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0.475383

0.388058

0.30332

0.244524

0.208988

0

0.02091

0.273352

56,140

1,163

160

48.271711

0.755822

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0

0.073684

0

null

0

null

0

1

0

51033cdbbaedcb29f8ed65dc37e4cdc367f17763

1,411

py

Python

qrtt/technical/rsi.py

leopoldsw/qrtt

271f23888847f9a0a9a7da360be22c5000b058ab

[ "MIT" ]

null

qrtt/technical/rsi.py

leopoldsw/qrtt

271f23888847f9a0a9a7da360be22c5000b058ab

[ "MIT" ]

null

qrtt/technical/rsi.py

leopoldsw/qrtt

271f23888847f9a0a9a7da360be22c5000b058ab

[ "MIT" ]

null

""" RSI CALCULATION The very first calculations for average gain and average loss are simple n-period averages: First Average Gain = Sum of Gains over the past n periods / n. First Average Loss = Sum of Losses over the past n periods / n The second, and subsequent, calculations are based on the prior average...

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0

0.02698

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1,411

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115

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0

0.333333

0

null

0

null

0

1

0

5106aa713d6626d3d954ada527f0fad7a1c15261

1,872

py

Python

modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py

OpenFAST/openfast-regression

7892739f47f312ce014711192fd70253ea40c8e8

[ "Apache-2.0" ]

null

modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py

OpenFAST/openfast-regression

7892739f47f312ce014711192fd70253ea40c8e8

[ "Apache-2.0" ]

null

modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py

OpenFAST/openfast-regression

7892739f47f312ce014711192fd70253ea40c8e8

[ "Apache-2.0" ]

null

import numpy as np import pandas as pd import matplotlib.pyplot as plt # Local import weio import welib.fast.fastlib as fastlib # --- Reference simulations OmniVor / AWSM ref20 = weio.read('AnalyticalResults/Elliptic_NumReference20.csv').toDataFrame() ref40 = weio.read('AnalyticalResults/Elliptic_NumReference40.csv'...

39

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0

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0.185185

0

null

0

null

0

1

0

510f0704162b83a55e2da583192211cbda73f8f2

2,987

py

Python

Test13_talking_robot/Test13_preprocess.py

hooloong/My_TensorFlow

ef115989035b9ae14938dca47c0814b0d16dd6ba

[ "MIT" ]

3

2018-07-29T17:31:58.000Z

2019-06-27T10:36:34.000Z

Test13_talking_robot/Test13_preprocess.py

hooloong/My_TensorFlow

ef115989035b9ae14938dca47c0814b0d16dd6ba

[ "MIT" ]

null

Test13_talking_robot/Test13_preprocess.py

hooloong/My_TensorFlow

ef115989035b9ae14938dca47c0814b0d16dd6ba

[ "MIT" ]

1

2019-02-18T02:27:39.000Z

# coding=utf-8 import os import random import sys conv_path = 'dgk_shooter_min.conv' if not os.path.exists(conv_path): print('数据集不存在') exit() # 数据集格式 """ E M 畹/华/吾/侄/ M 你/接/到/这/封/信/的/时/候/ M 不/知/道/大/伯/还/在/不/在/人/世/了/ E M 咱/们/梅/家/从/你/爷/爷/起/ M 就/一/直/小/心/翼/翼/地/唱/戏/ M 侍/奉/宫/廷/侍/奉/百/姓/ M 从/来/不/曾/遭/此/大/祸/ M 太/后/的/万...

24.08871

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0.016024

0.226984

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0

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0.074074

0.037037

0

null

0

null

0

1

0

510fb73823084b9ff3de955296518a2eb7c922e4

540

py

Python

wiktts/__init__.py

pettarin/wiktts

37f9a865ec01604c36a3ab15325f62d8c26e4484

[ "MIT" ]

5

2016-06-02T04:52:11.000Z

2018-08-01T20:05:37.000Z

wiktts/__init__.py

pettarin/wiktts

37f9a865ec01604c36a3ab15325f62d8c26e4484

[ "MIT" ]

null

wiktts/__init__.py

pettarin/wiktts

37f9a865ec01604c36a3ab15325f62d8c26e4484

[ "MIT" ]

null

#!/usr/bin/env python # coding=utf-8 """ TBW """ from __future__ import absolute_import from __future__ import print_function import io __author__ = "Alberto Pettarin" __copyright__ = "Copyright 2016, Alberto Pettarin (www.albertopettarin.it)" __license__ = "MIT" __email__ = "alberto@albertopettarin.it" __version__...

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null

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null

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1

0

51106aa7bc640784a651d3a06d5663b7d7680ea4

2,834

py

Python

addons/mixins.py

kilinger/marathon-rocketchat-hubot

682454b90265eb2c66ea222cf0c970370816a9e1

[ "BSD-3-Clause" ]

1

2018-07-10T07:03:12.000Z

addons/mixins.py

kilinger/marathon-rocketchat-hubot

682454b90265eb2c66ea222cf0c970370816a9e1

[ "BSD-3-Clause" ]

null

addons/mixins.py

kilinger/marathon-rocketchat-hubot

682454b90265eb2c66ea222cf0c970370816a9e1

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ :copyright: (c) 2015 by the xxxxx Team, see AUTHORS for more details. :license: BSD, see LICENSE for more details. """ from __future__ import absolute_import, print_function from hubot.utils.mesos import clean_container_path class AddonsMixin(object): addon_name = "addon" addon_de...

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null

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null

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511493f52cb1eeb1e8430922732560c6965e53e7

5,069

py

Python

flexmatcher/classify/nGramClassifier.py

austinkwillis/flexmatcher

c771cea696014f62bf919ecf678835d8c655d04f

[ "Apache-2.0" ]

28

2017-07-19T19:02:56.000Z

2022-01-11T10:40:06.000Z

flexmatcher/classify/nGramClassifier.py

austinkwillis/flexmatcher

c771cea696014f62bf919ecf678835d8c655d04f

[ "Apache-2.0" ]

253

2018-02-10T22:22:16.000Z

2022-03-27T18:43:17.000Z

flexmatcher/classify/nGramClassifier.py

austinkwillis/flexmatcher

c771cea696014f62bf919ecf678835d8c655d04f

[ "Apache-2.0" ]

10

2018-02-21T06:41:30.000Z

2022-02-20T12:18:46.000Z

from __future__ import absolute_import from __future__ import print_function from __future__ import division from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text import HashingVectorizer from sklearn.model_selection import StratifiedKFold from sklearn import linear_model from...

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null

0

null

0

1

0

5116e871b3a1ab4846b46b9fec5ed8c06b14c048

3,001

py

Python

experiment/test/nngen.py

seonglae/commit-autosuggestions

49c0ab65f20bda835b7537e042ffc9d338a0d482

[ "Apache-2.0" ]

303

2020-08-27T06:59:55.000Z

2022-03-18T17:50:16.000Z

experiment/test/nngen.py

seonglae/commit-autosuggestions

49c0ab65f20bda835b7537e042ffc9d338a0d482

[ "Apache-2.0" ]

4

2020-12-01T15:06:46.000Z

2021-11-10T17:38:19.000Z

experiment/test/nngen.py

seonglae/commit-autosuggestions

49c0ab65f20bda835b7537e042ffc9d338a0d482

[ "Apache-2.0" ]

11

2020-11-08T01:52:30.000Z

2021-10-03T18:45:45.000Z

# encoding=utf-8 import os import time import fire from typing import List from sklearn.feature_extraction.text import CountVectorizer from sklearn.metrics.pairwise import cosine_similarity from nltk.translate.bleu_score import sentence_bleu def load_data(path): """load lines from a file""" with open(path, 'r...

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null

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1

0

511bd43634ea3f540136626b6213102cf02c3ef9

7,711

py

Python

odrive/Firmware/fibre/python/fibre/utils.py

kirmani/doggo

f5aadba2a5b664f2d383bca0b35155d65363c498

[ "MIT" ]

null

odrive/Firmware/fibre/python/fibre/utils.py

kirmani/doggo

f5aadba2a5b664f2d383bca0b35155d65363c498

[ "MIT" ]

3

2020-02-26T00:07:53.000Z

2022-02-26T05:18:31.000Z

odrive/Firmware/fibre/python/fibre/utils.py

kirmani/doggo

f5aadba2a5b664f2d383bca0b35155d65363c498

[ "MIT" ]

null

import sys import time import threading import platform import subprocess import os try: if platform.system() == 'Windows': import win32console # TODO: we should win32console anyway so we could just omit colorama import colorama colorama.init() except ModuleNotFoundError: print...

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null

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null

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0

51201b8f267ec7a2dece0fc4da0d42b14f47ffba

2,720

py

Python

2021/day09/main.py

ingjrs01/adventofcode

c5e4f0158dac0efc2dbfc10167f2700693b41fea

[ "Apache-2.0" ]

null

2021/day09/main.py

ingjrs01/adventofcode

c5e4f0158dac0efc2dbfc10167f2700693b41fea

[ "Apache-2.0" ]

null

2021/day09/main.py

ingjrs01/adventofcode

c5e4f0158dac0efc2dbfc10167f2700693b41fea

[ "Apache-2.0" ]

null

def search_low(matrix): positions = [] for i in range(len(matrix)): for j in range(len(matrix[i])): if (j > 0): if (matrix[i][j] >= matrix[i][j-1]): continue if (j < len(matrix[i])-1): if (matrix[i][j] >= matrix[i][j+1]): ...

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0

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0.042857

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null

0

null

0

1

0

51219e777435d891fa05113f0da030e18ce7d68a

4,364

py

Python

handwrite/sheettopng.py

sakshamarora1/handwrite

628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29

[ "MIT" ]

null

handwrite/sheettopng.py

sakshamarora1/handwrite

628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29

[ "MIT" ]

null

handwrite/sheettopng.py

sakshamarora1/handwrite

628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29

[ "MIT" ]

null

import os import sys import itertools import cv2 # Seq: A-Z, a-z, 0-9, SPECIAL_CHARS ALL_CHARS = list( itertools.chain( range(65, 91), range(97, 123), range(48, 58), [ord(i) for i in ".,;:!?\"'-+=/%&()[]"], ) ) class SheetToPNG: def __init__(self): pass def c...

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0.021285

0

0.028458

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false

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0

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0

null

0

null

0

1

0

5121b7e379746aac2a670977c3fda4d01dade4a4

1,261

py

Python

2021/Day 7/solution.py

theleteron/advent-of-code

45900a8c14a966e4ecbe699e6423072254d09d95

[ "MIT" ]

1

2021-12-02T18:28:28.000Z

2021/Day 7/solution.py

theleteron/advent-of-code

45900a8c14a966e4ecbe699e6423072254d09d95

[ "MIT" ]

null

2021/Day 7/solution.py

theleteron/advent-of-code

45900a8c14a966e4ecbe699e6423072254d09d95

[ "MIT" ]

null

class Day(): def __init__(self, data_path): with open(data_path, "r") as file: for line in file: self.positions = [(int(position)) for position in line.strip().split(',')] def part1(self): fuel_cost = -1 for target in range(min(self.positions), max(self.posi...

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0.639296

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0.066667

0

null

0

null

0

1

0

5121cc545c9a55cdbb8d25e3c6ef3ab3548b3342

849

py

Python

dataflows/processors/deduplicate.py

cschloer/dataflows

78a683b5d202512c06021ff6be8ac7f60ef1cd9b

[ "MIT" ]

160

2018-06-13T23:16:26.000Z

2022-03-11T21:26:44.000Z

dataflows/processors/deduplicate.py

cschloer/dataflows

78a683b5d202512c06021ff6be8ac7f60ef1cd9b

[ "MIT" ]

164

2018-07-08T13:05:30.000Z

2021-09-30T08:54:59.000Z

dataflows/processors/deduplicate.py

cschloer/dataflows

78a683b5d202512c06021ff6be8ac7f60ef1cd9b

[ "MIT" ]

41

2018-08-07T08:05:30.000Z

2021-12-18T04:34:06.000Z

from dataflows import PackageWrapper, ResourceWrapper from ..helpers.resource_matcher import ResourceMatcher def deduper(rows: ResourceWrapper): pk = rows.res.descriptor['schema'].get('primaryKey', []) if len(pk) == 0: yield from rows else: keys = set() for row in rows: ...

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849

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false

0

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0

0.24

0

null

0

null

0

1

0

5127e82ffefa06ac56296824a5c55b26831611d6

3,679

py

Python

examples/development/simulate_policy.py

iclavera/cassie

f2e253bf29fa0f872974188aed1fdfbe06efc37e

[ "MIT" ]

null

examples/development/simulate_policy.py

iclavera/cassie

f2e253bf29fa0f872974188aed1fdfbe06efc37e

[ "MIT" ]

11

2020-01-28T22:32:20.000Z

2022-03-11T23:37:57.000Z

examples/development/simulate_policy.py

iclavera/cassie

f2e253bf29fa0f872974188aed1fdfbe06efc37e

[ "MIT" ]

null

import argparse from distutils.util import strtobool import json import os import pickle import tensorflow as tf import numpy as np from softlearning.policies.utils import get_policy_from_variant from softlearning.samplers import rollouts def parse_args(): parser = argparse.ArgumentParser() parser.add_argume...

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4.646018

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0.040476

0.026667

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0.05619

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0

0.019667

0.281326

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106

110

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0

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0

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false

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0

0.242857

0.014286

0

null

0

null

0

1

0

51297e9b178ac6da2a46669f12b122f74df2ecf7

415

py

Python

settings/live.py

mhfowler/abridgedmaps

d0802bd6955714d174d208bea809191bff4615b3

[ "MIT" ]

null

settings/live.py

mhfowler/abridgedmaps

d0802bd6955714d174d208bea809191bff4615b3

[ "MIT" ]

null

settings/live.py

mhfowler/abridgedmaps

d0802bd6955714d174d208bea809191bff4615b3

[ "MIT" ]

null

from settings.common import * DEBUG=True DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'mydatabase', } } # Honor the 'X-Forwarded-Proto' header for request.is_secure() SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https') # Allow all host headers ALLOWED_HO...

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415

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0.109489

0

0.002924

0.175904

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21

63

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0

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false

0

0.083333

0

0.083333

0

null

0

null

0

1

0

512cb58d8316e571507a93e75a64d19559f26b6b

2,762

py

Python

models/tag.py

noahkw/botw-bot

8d8c9515a177c52270093fb64abf34d111535d16

[ "MIT" ]

1

2020-11-29T23:00:27.000Z

models/tag.py

noahkw/botw-bot

8d8c9515a177c52270093fb64abf34d111535d16

[ "MIT" ]

18

2020-08-05T11:59:31.000Z

2022-03-15T03:48:40.000Z

models/tag.py

noahkw/botw-bot

8d8c9515a177c52270093fb64abf34d111535d16

[ "MIT" ]

null

import re import discord from sqlalchemy import ( Column, String, BigInteger, Integer, Boolean, update, delete, ) from sqlalchemy.ext.hybrid import hybrid_property from models.base import Base, PendulumDateTime from util import safe_mention IMAGE_URL_REGEX = r"https?:\/\/.*\.(jpe?g|png|gi...

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0

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false

0

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0.39726

0

null

0

null

0

1

0

51311102d9e729c7834446c830b3c543962cbf40

5,283

py

Python

xray/train.py

kibernetika-ai/image_captioning

e0248758d293d7dabc0cfdbed4568de06a20d048

[ "MIT" ]

null

xray/train.py

kibernetika-ai/image_captioning

e0248758d293d7dabc0cfdbed4568de06a20d048

[ "MIT" ]

null

xray/train.py

kibernetika-ai/image_captioning

e0248758d293d7dabc0cfdbed4568de06a20d048

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function import argparse import os import shutil import matplotlib.pyplot as plt import numpy as np from PIL import Image import tensorflow as tf from xray import model slim = tf.contrib.slim tf.logging.set_verbosity(tf.logging.INFO) log = tf.logging def cal...

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0.056427

0.025649

0.102897

0.071515

0.022933

0

0.016619

0.202726

5,283

158

114

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0.77018

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0

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0

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0

1

0.04386

false

0

0.078947

0.008772

0.140351

0.008772

0

null

0

null

0

1

0