xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

bf0736d5b20e13bca565ff9aa02b56f4f4cdfd07

1,708

py

Python

randomwordz/words.py

noyoshi/randomwordz

cc785456465abd2234a4449bb559374c28660814

[ "BSD-3-Clause" ]

null

randomwordz/words.py

noyoshi/randomwordz

cc785456465abd2234a4449bb559374c28660814

[ "BSD-3-Clause" ]

null

randomwordz/words.py

noyoshi/randomwordz

cc785456465abd2234a4449bb559374c28660814

[ "BSD-3-Clause" ]

null

# https://stackoverflow.com/questions/6028000/how-to-read-a-static-file-from-inside-a-python-package # see above how to read in words from the files... try: import importlib.resources as pkg_resources except ImportError: # Try backported to PY<37 `importlib_resources`. import importlib_resources as pkg_res...

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py

Python

python/Exercicios/ex079.py

Robert-Marchinhaki/primeiros-passos-Python

515c2c418bfb941bd9af14cf598eca7fe2985592

[ "MIT" ]

null

python/Exercicios/ex079.py

Robert-Marchinhaki/primeiros-passos-Python

515c2c418bfb941bd9af14cf598eca7fe2985592

[ "MIT" ]

null

python/Exercicios/ex079.py

Robert-Marchinhaki/primeiros-passos-Python

515c2c418bfb941bd9af14cf598eca7fe2985592

[ "MIT" ]

null

numeros = list() while True: digitado = (int(input('Digite os valores: '))) if digitado not in numeros[:]: print('Número adicionado com sucesso...') else: numeros.remove(digitado) print('Erro! Valor já digitado') numeros.append(digitado) parada = str(input('Quer adicionar m...

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py

Python

eureka/S4_generate_lightcurves/clipping.py

afeinstein20/Eureka

7c330086ff7978b81d0f6ebb83a88c0bee01dc50

[ "MIT" ]

null

eureka/S4_generate_lightcurves/clipping.py

afeinstein20/Eureka

7c330086ff7978b81d0f6ebb83a88c0bee01dc50

[ "MIT" ]

null

eureka/S4_generate_lightcurves/clipping.py

afeinstein20/Eureka

7c330086ff7978b81d0f6ebb83a88c0bee01dc50

[ "MIT" ]

null

import numpy as np from astropy.convolution import Box1DKernel, convolve from astropy.stats import sigma_clip def clip_outliers(data, log, wavelength, sigma=10, box_width=5, maxiters=5, fill_value='mask', verbose=False): '''Find outliers in 1D time series. Be careful when using this function on a time-seri...

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py

Python

EduSim/Envs/KSS/meta/Learner.py

bigdata-ustc/EduSim

849eed229c24615e5f2c3045036311e83c22ea68

[ "MIT" ]

18

2019-11-11T03:45:35.000Z

2022-02-09T15:31:51.000Z

EduSim/Envs/KSS/meta/Learner.py

ghzhao78506/EduSim

cb10e952eb212d8a9344143f889207b5cd48ba9d

[ "MIT" ]

3

2020-10-23T01:05:57.000Z

2021-03-16T12:12:24.000Z

EduSim/Envs/KSS/meta/Learner.py

bigdata-ustc/EduSim

849eed229c24615e5f2c3045036311e83c22ea68

[ "MIT" ]

6

2020-06-09T21:32:00.000Z

2022-03-12T00:25:18.000Z

# coding: utf-8 # 2019/11/26 @ tongshiwei import numpy as np import random import math import networkx as nx from EduSim.Envs.meta import MetaLearner, MetaInfinityLearnerGroup, MetaLearningModel, Item from EduSim.Envs.shared.KSS_KES.KS import influence_control __all__ = ["Learner", "LearnerGroup"] class LearningMo...

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py

Python

2021/4a.py

DanielDionne/advent_of_code

891fd46b29a4eac2ef4ec1402df69dda10bd6c5d

[ "MIT" ]

null

2021/4a.py

DanielDionne/advent_of_code

891fd46b29a4eac2ef4ec1402df69dda10bd6c5d

[ "MIT" ]

null

2021/4a.py

DanielDionne/advent_of_code

891fd46b29a4eac2ef4ec1402df69dda10bd6c5d

[ "MIT" ]

null

import re def mark(number, board): for row in board: for element in row: if element[0] == number: element[1] = True def check(board): # check rows for row in board: if all([e[1] == True for e in row]): return True # check columns for colIndex...

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py

Python

scripts/python/plot_radiation_advection.py

lanl/phoebus

c570f42882c1c9e01e3bfe4b00b22e15a7a9992b

[ "BSD-3-Clause" ]

3

2022-03-24T22:09:12.000Z

2022-03-29T23:16:21.000Z

scripts/python/plot_radiation_advection.py

lanl/phoebus

c570f42882c1c9e01e3bfe4b00b22e15a7a9992b

[ "BSD-3-Clause" ]

8

2022-03-15T20:49:43.000Z

2022-03-29T17:45:04.000Z

scripts/python/plot_radiation_advection.py

lanl/phoebus

c570f42882c1c9e01e3bfe4b00b22e15a7a9992b

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # © 2022. Triad National Security, LLC. All rights reserved. This # program was produced under U.S. Government contract # 89233218CNA000001 for Los Alamos National Laboratory (LANL), which # is operated by Triad National Security, LLC for the U.S. Department # of Energy/National Nuclear Securit...

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py

Python

emma/utils/visualizations.py

rpp0/emma

fab81e1c66b8a88d14e68b8878ddbb5ee6528de2

[ "MIT" ]

36

2019-01-08T12:49:36.000Z

2022-03-31T08:11:48.000Z

emma/utils/visualizations.py

rpp0/emma

fab81e1c66b8a88d14e68b8878ddbb5ee6528de2

[ "MIT" ]

6

2020-01-28T22:59:05.000Z

2022-02-10T00:14:43.000Z

emma/utils/visualizations.py

rpp0/emma

fab81e1c66b8a88d14e68b8878ddbb5ee6528de2

[ "MIT" ]

3

2019-02-12T11:55:42.000Z

2020-08-12T23:30:05.000Z

import matplotlib.pyplot as plt import os import numpy as np from datetime import datetime from matplotlib.backends.backend_pdf import PdfPages from emma.io.traceset import TraceSet from emma.utils.utils import MaxPlotsReached, EMMAException #plt.rcParams['axes.prop_cycle'] = plt.cycler(color=plt.get_cmap('flag').col...

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py

Python

list-manual-packages.py

qidydl/debian-package-scripts

a68f2d4c493e00761cc7d6cdc11ca1e661684741

[ "MIT" ]

null

list-manual-packages.py

qidydl/debian-package-scripts

a68f2d4c493e00761cc7d6cdc11ca1e661684741

[ "MIT" ]

null

list-manual-packages.py

qidydl/debian-package-scripts

a68f2d4c493e00761cc7d6cdc11ca1e661684741

[ "MIT" ]

null

#!/usr/bin/env python3 """List manually-installed Debian packages This script can be used to see which packages are flagged as having been installed manually. Manually-installed packages are not eligible for autoremove. Managing this flag will ensure that libraries are cleaned up when no longer needed. This script o...

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bf2071740b73e90331bef4394f5adc4ea46bf3e5

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py

Python

machine_learning/boston.py

zmaas/scratch

ee996bb6a15e3eb322a07b8637f8eb0046ec9d89

[ "MIT" ]

null

machine_learning/boston.py

zmaas/scratch

ee996bb6a15e3eb322a07b8637f8eb0046ec9d89

[ "MIT" ]

null

machine_learning/boston.py

zmaas/scratch

ee996bb6a15e3eb322a07b8637f8eb0046ec9d89

[ "MIT" ]

null

'''Boston Housing Classification''' import numpy as np from keras.datasets import boston_housing from keras import models from keras import layers (train_data, train_targets), (test_data, test_targets) = boston_housing.load_data() mean = train_data.mean(axis=0) train_data -= mean std = t...

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py

Python

zorg/buildbot/builders/LibCXXBuilder.py

antiagainst/llvm-zorg

a5b58cdd800d0d45b1bdd1f7fe058db6acbfd918

[ "Apache-2.0" ]

1

2019-02-10T03:05:05.000Z

zorg/buildbot/builders/LibCXXBuilder.py

antiagainst/llvm-zorg

a5b58cdd800d0d45b1bdd1f7fe058db6acbfd918

[ "Apache-2.0" ]

null

zorg/buildbot/builders/LibCXXBuilder.py

antiagainst/llvm-zorg

a5b58cdd800d0d45b1bdd1f7fe058db6acbfd918

[ "Apache-2.0" ]

null

import os import buildbot import buildbot.process.factory import buildbot.steps.shell import buildbot.steps.source as source import buildbot.steps.source.svn as svn import buildbot.process.properties as properties import zorg.buildbot.commands.LitTestCommand as lit_test_command import zorg.buildbot.util.artifacts as...

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bf23269a20352bd1e5bf1a525b6d3e5fd76ba4f9

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py

Python

pydeps/rules/ruleResultChecker.py

enableiot/iotanalytics-rule-engine

8f7c0e00f3f534944af21255cf7d98fc632b08b2

[ "Apache-2.0" ]

3

2015-12-15T10:17:10.000Z

2016-01-19T15:24:51.000Z

pydeps/rules/ruleResultChecker.py

enableiot/iotanalytics-rule-engine

8f7c0e00f3f534944af21255cf7d98fc632b08b2

[ "Apache-2.0" ]

null

pydeps/rules/ruleResultChecker.py

enableiot/iotanalytics-rule-engine

8f7c0e00f3f534944af21255cf7d98fc632b08b2

[ "Apache-2.0" ]

2

2015-12-15T10:17:11.000Z

2018-11-01T12:40:49.000Z

# Copyright (c) 2015 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 ...

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bf236a0773de3a927230fe201180262fee783588

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py

Python

extviews/viewset.py

BilalAlpaslan/fastapi-extviews

e3ce1c4916d86009705a09e165e5ee21a197962f

[ "MIT" ]

16

2022-01-01T16:00:58.000Z

2022-03-21T09:42:35.000Z

extviews/viewset.py

BilalAlpaslan/fastapi-extviews

e3ce1c4916d86009705a09e165e5ee21a197962f

[ "MIT" ]

null

extviews/viewset.py

BilalAlpaslan/fastapi-extviews

e3ce1c4916d86009705a09e165e5ee21a197962f

[ "MIT" ]

null

from typing import Callable, List, Sequence, Union from fastapi import APIRouter, Header from fastapi.params import Depends from pydantic import BaseModel from .crudset import BaseCrudSet __all__ = ['ViewSet', 'CrudViewSet'] supported_methods_names: List[str] = [ 'list', 'retrieve', 'create', 'update', 'partial_...

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py

Python

wouldyouci_database/recommendation/contents_based_filtering.py

jhee514/wouldYouCi

54793401fb51356587e5a4460eb606ed9943b30c

[ "MIT" ]

1

2020-06-18T08:40:47.000Z

wouldyouci_database/recommendation/contents_based_filtering.py

jhee514/wouldYouCi

54793401fb51356587e5a4460eb606ed9943b30c

[ "MIT" ]

14

2021-03-19T08:55:06.000Z

2022-03-12T00:37:51.000Z

wouldyouci_database/recommendation/contents_based_filtering.py

jhee514/wouldYouCi

54793401fb51356587e5a4460eb606ed9943b30c

[ "MIT" ]

1

2021-05-27T08:52:01.000Z

import os import time import pymysql import pandas as pd from decouple import config from datetime import datetime from sklearn.linear_model import Lasso from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.model_selection import RandomizedSearchCV from sci...

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py

Python

netrd/utilities/__init__.py

sdmccabe/netrd

f703c19b02f42c9f54bcab57014381da11dd58da

[ "MIT" ]

116

2019-01-17T18:31:43.000Z

2022-03-31T13:37:21.000Z

netrd/utilities/__init__.py

sdmccabe/netrd

f703c19b02f42c9f54bcab57014381da11dd58da

[ "MIT" ]

175

2019-01-15T01:19:13.000Z

2021-05-25T16:51:26.000Z

netrd/utilities/__init__.py

sdmccabe/netrd

f703c19b02f42c9f54bcab57014381da11dd58da

[ "MIT" ]

36

2019-01-14T20:38:32.000Z

2022-01-21T20:58:38.000Z

""" utilities ---------- Common utilities for use within ``netrd``. """ from .threshold import threshold from .graph import ( create_graph, ensure_undirected, undirected, ensure_unweighted, unweighted, ) from .read import read_time_series from .cluster import clusterGraph from .standardize import ...

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bf292f506793261af16ff7db52fd7fc8b2dbbe15

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py

Python

python/leetcode/1706-Where_Will_the_Ball_Fall-M.py

levendlee/leetcode

35e274cb4046f6ec7112cd56babd8fb7d437b844

[ "Apache-2.0" ]

1

2020-03-02T10:56:22.000Z

python/leetcode/1706-Where_Will_the_Ball_Fall-M.py

levendlee/leetcode

35e274cb4046f6ec7112cd56babd8fb7d437b844

[ "Apache-2.0" ]

null

python/leetcode/1706-Where_Will_the_Ball_Fall-M.py

levendlee/leetcode

35e274cb4046f6ec7112cd56babd8fb7d437b844

[ "Apache-2.0" ]

null

class Solution: def findBall(self, grid: List[List[int]]) -> List[int]: m, n = len(grid), len(grid[0]) fall = list(range(n)) for i in range(m): next_fall = [-1 for _ in range(n)] for j in range(n): if grid[i][j] == 1: if j > 0 and g...

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py

Python

vae/train_vae.py

mazrk7/tf_playground

81ad741f2bfe439bab85783ccf82d4715a3adef6

[ "MIT" ]

null

vae/train_vae.py

mazrk7/tf_playground

81ad741f2bfe439bab85783ccf82d4715a3adef6

[ "MIT" ]

null

vae/train_vae.py

mazrk7/tf_playground

81ad741f2bfe439bab85783ccf82d4715a3adef6

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import sys import tensorflow as tf from dataset import load_data from vae import VAE from conv_vae import ConvVAE IMAGE_SIZE = 28 IMAGE_PIXELS = IMAGE_SIZE * IMAGE_SIZE # Define the VAE netw...

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null

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null

0

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0

bf2bb0444957a564a4fef3e32be0670e3dc59829

15,049

py

Python

DPPO/dppo_cont_gae_dist_gpu.py

ChuaCheowHuan/reinforcement_learning

037c292e5d81cd6d302566969c0391aba47d0343

[ "MIT" ]

32

2019-06-01T18:10:12.000Z

2021-12-17T08:12:48.000Z

DPPO/dppo_cont_gae_dist_gpu.py

ChuaCheowHuan/reinforcement_learning

037c292e5d81cd6d302566969c0391aba47d0343

[ "MIT" ]

9

2020-03-24T18:21:20.000Z

2022-02-10T01:41:29.000Z

DPPO/dppo_cont_gae_dist_gpu.py

ChuaCheowHuan/reinforcement_learning

037c292e5d81cd6d302566969c0391aba47d0343

[ "MIT" ]

9

2019-05-05T12:04:30.000Z

2021-11-13T12:14:56.000Z

""" Distributed Proximal Policy Optimization (Distributed PPO or DPPO) continuous version implementation with distributed Tensorflow and Python’s multiprocessing package. This implementation uses normalized running rewards with GAE. The code is tested with Gym’s continuous action space environment, Pendulum-v0 on Colab...

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15,049

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0.184601

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0

null

0

null

0

1

0

bf2ca4850e1601c96655725a34150bcc61effb04

7,417

py

Python

main_entry.py

LuxxxLucy/text_generation_SeqRNN

27676f8c0844a69dd9c68ef6ff519b7ff03e50b9

[ "MIT" ]

null

main_entry.py

LuxxxLucy/text_generation_SeqRNN

27676f8c0844a69dd9c68ef6ff519b7ff03e50b9

[ "MIT" ]

1

2017-08-28T18:45:04.000Z

2017-08-30T09:27:37.000Z

main_entry.py

LuxxxLucy/text_generation_SeqRNN

27676f8c0844a69dd9c68ef6ff519b7ff03e50b9

[ "MIT" ]

null

# utility modules import os from os import path import shutil import sys import time import json import argparse import numpy as np from pprint import pprint as pr ITEM_DIM=100 dir_path = path.dirname(path.dirname(path.dirname(path.realpath(__file__)))) sys.path.append(dir_path) import settings # -------------------...

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null

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bf2e31dad78bdc69eb2a8bd13549245a36b50b40

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py

Python

data_process/face_rectify.py

ZephyrDu/Face-Sketch-Wild

4e967e58b8cb95af74d5fb26a4f9761a966c04bd

[ "MIT" ]

73

2018-11-13T09:32:31.000Z

2022-02-25T13:28:29.000Z

data_process/face_rectify.py

ZephyrDu/Face-Sketch-Wild

4e967e58b8cb95af74d5fb26a4f9761a966c04bd

[ "MIT" ]

4

2019-10-22T09:15:21.000Z

2021-12-02T08:21:54.000Z

data_process/face_rectify.py

ZephyrDu/Face-Sketch-Wild

4e967e58b8cb95af74d5fb26a4f9761a966c04bd

[ "MIT" ]

22

2018-11-04T00:08:30.000Z

2022-03-07T00:50:13.000Z

""" Rectify the face photo according to the paper: Real-Time Exemplar-Based Face Sketch Synthesis. shape: h=250, w=200 position: left eye (x=75,y=125), right eye (x=125, y=125) This module use similarity transformation to roughly align the two eyes. Specifically, the transformation matrix can be writte...

37.928

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4,741

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0

null

0

null

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0

bf2ea22b630b974814db2da578466418ae00ae5f

643

py

Python

old_app.py

stimura/interactive_visualizations_and_dashboards_plotly.js

980ee5078b2fc93fc2f906769b97b013885d5580

[ "ADSL" ]

null

old_app.py

stimura/interactive_visualizations_and_dashboards_plotly.js

980ee5078b2fc93fc2f906769b97b013885d5580

[ "ADSL" ]

null

old_app.py

stimura/interactive_visualizations_and_dashboards_plotly.js

980ee5078b2fc93fc2f906769b97b013885d5580

[ "ADSL" ]

null

from data_wrangling import * from flask import Flask, jsonify, render_template app = Flask(__name__) @app.route("/") def index(): return render_template('index.html') @app.route("/names") def names(): # Store results into a dictionary forecast = get_samples() return jsonify(forecast) # Re...

18.371429

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0.046272

0

0.013834

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643

34

58

18.911765

0.754941

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0

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0

1

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0

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0.421053

0

null

0

null

0

1

0

bf34bb0f6cb77d847d353e75322326b1e613f85e

1,484

py

Python

word2vec/data_test.py

luozhouyang/machine-learning-notes

332bea905398891fed4a98aa139eac02c88cb5ae

[ "Apache-2.0" ]

73

2018-09-07T06:47:18.000Z

2022-01-25T06:14:41.000Z

word2vec/data_test.py

luozhouyang/machine-learning-notes

332bea905398891fed4a98aa139eac02c88cb5ae

[ "Apache-2.0" ]

2

2018-10-18T06:40:19.000Z

2019-11-16T01:48:39.000Z

word2vec/data_test.py

luozhouyang/machine-learning-notes

332bea905398891fed4a98aa139eac02c88cb5ae

[ "Apache-2.0" ]

47

2018-09-27T10:50:21.000Z

2022-01-25T06:20:23.000Z

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

31.574468

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null

0

null

0

1

0

bf355dafca1416e7627639d652c8fed0b68000f6

11,140

py

Python

scripts/elasticArchive.py

softandbyte/elasticArchive

90a2bbe28eca8ee4f8bdeca560e2202ceeef2ba4

[ "MIT" ]

16

2020-06-09T03:29:03.000Z

2022-03-12T05:05:54.000Z

scripts/elasticArchive.py

softandbyte/elasticArchive

90a2bbe28eca8ee4f8bdeca560e2202ceeef2ba4

[ "MIT" ]

2

2021-11-09T20:50:58.000Z

2022-03-23T05:17:50.000Z

scripts/elasticArchive.py

softandbyte/elasticArchive

90a2bbe28eca8ee4f8bdeca560e2202ceeef2ba4

[ "MIT" ]

5

2021-02-25T08:43:18.000Z

2022-03-12T05:05:54.000Z

""" This script serializes the entire traffic dump, including websocket traffic, as JSON, and either sends it to an elasticsearch endpoint for permenant storage. Unlike some plugins, this one sends all requests and responses to elasticsearch in real-time. This script is based on the original mitmproxy scripts jsondum...

34.382716

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0.153234

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false

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0.053659

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null

0

null

0

1

0

bf35df664a6f006ae32195314f2da6cc632d3aa5

1,425

py

Python

app_covid19data/tests/test_forms.py

falken20/covid19web

3826e5cc51dc24d373a1f614ccdb7c30993312ce

[ "MIT" ]

null

app_covid19data/tests/test_forms.py

falken20/covid19web

3826e5cc51dc24d373a1f614ccdb7c30993312ce

[ "MIT" ]

null

app_covid19data/tests/test_forms.py

falken20/covid19web

3826e5cc51dc24d373a1f614ccdb7c30993312ce

[ "MIT" ]

null

from django.test import TestCase from django.utils import timezone from model_bakery import baker from app_covid19data.models import DataCovid19Item class Covid19dataTest(TestCase): def create_DataCovid19Item(self, country='countryTest', state='stateTest', latitude=1, longitude=1): return DataCovid19Ite...

39.583333

104

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5.666667

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0.059933

0.033296

0.122087

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0.029304

0.233684

1,425

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0

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false

0

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0.384615

0

null

0

null

0

1

0

bf365d62fde31326141c9b2b13f45dee2f7dc651

823

py

Python

python/2015/Day 1 Not Quite Lisp/main.py

FirinKinuo/advent-of-code

97059fc2832b224c24e80bdb658c668bcbb1cb12

[ "MIT" ]

null

python/2015/Day 1 Not Quite Lisp/main.py

FirinKinuo/advent-of-code

97059fc2832b224c24e80bdb658c668bcbb1cb12

[ "MIT" ]

null

python/2015/Day 1 Not Quite Lisp/main.py

FirinKinuo/advent-of-code

97059fc2832b224c24e80bdb658c668bcbb1cb12

[ "MIT" ]

null

from python import SolvingBase class Solving(SolvingBase): def first_problem(self): floor = 0 with open(self.test_case, 'r', encoding='utf-8') as file: instructions = file.read() for command in instructions: floor += 1 if command == '(' else -1 return flo...

24.939394

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823

4.727273

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0.367521

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0.295261

823

32

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0.4

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0.1

false

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0.3

0.05

0

null

0

null

0

1

0

bf366ea4faa9d83ef47009d3ecfc52584f3dc9bd

10,032

py

Python

downscale_/downscale/utils/utils_func.py

louisletoumelin/wind_downscaling_cnn

9d08711620db1ee1f472847f0e822c5f4eb1d300

[ "W3C" ]

null

downscale_/downscale/utils/utils_func.py

louisletoumelin/wind_downscaling_cnn

9d08711620db1ee1f472847f0e822c5f4eb1d300

[ "W3C" ]

12

2021-11-30T16:56:05.000Z

2021-12-13T16:26:31.000Z

downscale_/downscale/utils/utils_func.py

louisletoumelin/wind_downscaling_cnn

9d08711620db1ee1f472847f0e822c5f4eb1d300

[ "W3C" ]

null

import numpy as np import pandas as pd import datetime from downscale.utils.decorators import timer_decorator def select_range(month_begin, month_end, year_begin, year_end, date_begin, date_end): import pandas as pd if (month_end != month_begin) or (year_begin != year_end): dates = pd.date_range(date...

33.66443

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0.572269

1,250

10,032

4.1976

0.1816

0.054889

0.025157

0.018296

0.509053

0.493044

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0.420431

0.393749

0.38117

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0.039533

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10,032

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false

0

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0.159204

0

null

0

null

0

1

0

bf3812d6d4f4e3479497b05d3cbefb4d7e0abe08

11,979

py

Python

assetfactory/images/2021/08/30/base.py

reinhrst/reinhrst.github.io

3e9dce26c923fca54589ffd1d19d56af0dd27910

[ "CC0-1.0" ]

null

assetfactory/images/2021/08/30/base.py

reinhrst/reinhrst.github.io

3e9dce26c923fca54589ffd1d19d56af0dd27910

[ "CC0-1.0" ]

6

2021-07-01T19:35:47.000Z

2022-02-06T10:30:35.000Z

assetfactory/images/2021/08/30/base.py

reinhrst/reinhrst.github.io

3e9dce26c923fca54589ffd1d19d56af0dd27910

[ "CC0-1.0" ]

1

2021-08-11T22:46:47.000Z

from __future__ import annotations import pathlib import typing as t import numpy as np import math def rgb_to_hsv(r, g, b): r = float(r) g = float(g) b = float(b) high = max(r, g, b) low = min(r, g, b) h, s, v = high, high, high d = high - low s = 0 if high == 0 else d/high if ...

32.201613

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3.810707

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0.015053

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0

null

0

null

0

1

0

bf3a8b4843ac801538ccc5ef189a2684601a4cd6

10,419

py

Python

SemanticCopyandPaste.py

WeiChihChern/Copy-Paste-Semantic-Segmentation

f7725bb385b6decc4e139262fc1c6e3ba30255a3

[ "MIT" ]

3

2021-08-19T20:08:27.000Z

2021-09-25T04:12:59.000Z

SemanticCopyandPaste.py

WeiChihChern/Copy-Paste-Semantic-Segmentation

f7725bb385b6decc4e139262fc1c6e3ba30255a3

[ "MIT" ]

null

SemanticCopyandPaste.py

WeiChihChern/Copy-Paste-Semantic-Segmentation

f7725bb385b6decc4e139262fc1c6e3ba30255a3

[ "MIT" ]

1

2022-01-03T07:53:34.000Z

import albumentations as A import random import cv2 import os import numpy as np import matplotlib.pyplot as plt class SemanticCopyandPaste(A.DualTransform): def __init__(self, nClass, path2rgb, path2mask, shift_x_limit = [0,0], ...

38.164835

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0

null

0

null

0

1

0

170d3e0c7bb509155665bc1b0e23573bfaf15d45

1,214

py

Python

_vcs/git.py

devsetup/devsetup_framework

6ccd59dab83bc4305e8ff18321bfc14a4e7e79ca

[ "BSD-3-Clause" ]

null

_vcs/git.py

devsetup/devsetup_framework

6ccd59dab83bc4305e8ff18321bfc14a4e7e79ca

[ "BSD-3-Clause" ]

null

_vcs/git.py

devsetup/devsetup_framework

6ccd59dab83bc4305e8ff18321bfc14a4e7e79ca

[ "BSD-3-Clause" ]

null

# -*- coding:utf8 -*- import os import re import dsf def change_branch(branch, cwd=None): # checkout the branch dsf.core.shell.run(['git', 'checkout', branch], cwd=cwd) def get_current_branch(cwd=None): output = dsf.core.shell.get_output_from_command(['git', 'branch'], cwd=cwd) for line in output: if line[0:2...

26.977778

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4.10396

0.386139

0.04222

0.057901

0.065139

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1,214

45

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false

0

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0

0.461538

0

null

0

null

0

1

0

170d6548b3dc09065e688e302239c6b72d24faa5

243

py

Python

7KYU/is_prime.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

4

2021-07-17T22:48:03.000Z

2022-03-25T14:10:58.000Z

7KYU/is_prime.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

null

7KYU/is_prime.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

3

2021-06-14T14:18:16.000Z

2022-03-16T06:02:02.000Z

def is_prime(n: int) -> bool: ''' This function returns True if n is a prime number otherwise return False. ''' if n <= 1: return False d = 2 while d * d <= n and n % d != 0: d += 1 return d * d > n

22.090909

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3

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0

0.026846

0.386831

243

10

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0

1

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false

0

0.428571

0

null

0

null

0

1

0

1710ee96f11f5467c52c0c184c4411c5e7e24339

1,628

py

Python

HSM/load_data.py

18F/10x-MLaaS

3e1df3bbd88037c20e916fab2c07117a63e3c639

[ "CC0-1.0" ]

13

2019-03-15T20:30:35.000Z

2022-02-19T08:05:10.000Z

HSM/load_data.py

18F/10x-MLaaS

3e1df3bbd88037c20e916fab2c07117a63e3c639

[ "CC0-1.0" ]

106

2018-11-28T21:17:55.000Z

2022-03-25T09:18:27.000Z

HSM/load_data.py

18F/10x-MLaaS

3e1df3bbd88037c20e916fab2c07117a63e3c639

[ "CC0-1.0" ]

8

2019-01-05T16:31:02.000Z

2022-03-20T15:35:06.000Z

import json from argparse import ArgumentParser import pandas as pd from utils import db, db_utils from utils.db import Data, SupportData filter_feature = 'Comments Concatenated' validation = 'Validation' def main(file): db_utils.create_postgres_db() db.dal.connect() session = db.dal.Session() df = ...

30.716981

107

0.699017

226

1,628

4.792035

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null

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17111432226dd73d653390de29656f4d3d8a9a11

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py

Python

tools/optimization/driver/ask_tell_parallel_driver.py

MRossol/HOPP

c8bcf610fdd2cbb27a807ddaf444684ef1aab7e8

[ "BSD-3-Clause" ]

3

2021-03-10T20:03:42.000Z

2022-03-18T17:10:04.000Z

tools/optimization/driver/ask_tell_parallel_driver.py

MRossol/HOPP

c8bcf610fdd2cbb27a807ddaf444684ef1aab7e8

[ "BSD-3-Clause" ]

14

2020-12-28T22:32:07.000Z

2022-03-17T15:33:04.000Z

tools/optimization/driver/ask_tell_parallel_driver.py

MRossol/HOPP

c8bcf610fdd2cbb27a807ddaf444684ef1aab7e8

[ "BSD-3-Clause" ]

8

2021-01-19T02:39:01.000Z

2022-01-31T18:04:39.000Z

import multiprocessing from typing import ( Callable, Tuple, ) from ..data_logging.data_recorder import DataRecorder from ..driver.ask_tell_driver import AskTellDriver from ..optimizer.ask_tell_optimizer import AskTellOptimizer from .ask_tell_parallel_driver_fns import * class AskTellParallelDriver(AskTe...

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null

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null

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1711d50df16cf6bbbc6b89a5b298a52cab9c6c7f

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py

Python

main.py

BenAsaf/moodle-attendance-bot

bd27263fbb57badbe0ec622b8f72f507795591a2

[ "MIT" ]

null

main.py

BenAsaf/moodle-attendance-bot

bd27263fbb57badbe0ec622b8f72f507795591a2

[ "MIT" ]

null

main.py

BenAsaf/moodle-attendance-bot

bd27263fbb57badbe0ec622b8f72f507795591a2

[ "MIT" ]

null

from selenium import webdriver from selenium.common import exceptions import time import sched MOODLE_USER_NAME = "" MOODLE_PASSWORD = "" MOODLE_HOME_PAGE = "Moodle Address" # THe moodle main homepage COURSE_TITLE = "Name of the course as it shows up on the left" # What course to search for in the list START_HOUR, ...

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null

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null

0

1

0

17134739b8596a864d6e6e37035825d72ffbe045

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py

Python

securetea/lib/antivirus/scanner/yara_scanner.py

neerajv18/SecureTea-Project

e999cbe7c8e497c69b76b4c886de0d063169ea03

[ "MIT" ]

257

2018-03-28T12:43:20.000Z

2022-03-29T07:07:23.000Z

securetea/lib/antivirus/scanner/yara_scanner.py

neerajv18/SecureTea-Project

e999cbe7c8e497c69b76b4c886de0d063169ea03

[ "MIT" ]

155

2018-03-31T14:57:46.000Z

2022-03-17T18:12:41.000Z

securetea/lib/antivirus/scanner/yara_scanner.py

neerajv18/SecureTea-Project

e999cbe7c8e497c69b76b4c886de0d063169ea03

[ "MIT" ]

132

2018-03-27T06:25:20.000Z

2022-03-28T11:32:45.000Z

# -*- coding: utf-8 -*- u"""Yara Scanner module for SecureTea AntiVirus. Project: ╔═╗┌─┐┌─┐┬ ┬┬─┐┌─┐╔╦╗┌─┐┌─┐ ╚═╗├┤ │ │ │├┬┘├┤ ║ ├┤ ├─┤ ╚═╝└─┘└─┘└─┘┴└─└─┘ ╩ └─┘┴ ┴ Author: Abhishek Sharma <abhishek_official@hotmail.com> , Jul 4 2019 Version: 1.4 Module: SecureTea """ from securetea.lib.antiv...

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null

0

null

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1

0

171703df70423764cdb150d7746703a8105fdfbc

5,823

py

Python

stable_baselines3/common/buffer_multi_level.py

atishdixit16/stable-baselines3

0188d6a7b0c905693f41a68484d71b02faee6146

[ "MIT" ]

null

stable_baselines3/common/buffer_multi_level.py

atishdixit16/stable-baselines3

0188d6a7b0c905693f41a68484d71b02faee6146

[ "MIT" ]

null

stable_baselines3/common/buffer_multi_level.py

atishdixit16/stable-baselines3

0188d6a7b0c905693f41a68484d71b02faee6146

[ "MIT" ]

null

from os import times from typing import Generator, Optional, Union, NamedTuple import numpy as np import torch as th from gym import spaces from stable_baselines3.common.type_aliases import RolloutBufferSamples from stable_baselines3.common.buffers import RolloutBuffer from stable_baselines3.common.vec_env import Vec...

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null

0

null

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0

171b77518c7cb37c9e4c98fa3f24461a2dd6e589

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py

Python

Scripts/plot_ArcticSystemsWorkshop_Fig2.py

zmlabe/ThicknessSensitivity

6defdd897a61d7d1a02f34a9f4ec92b2b17b3075

[ "MIT" ]

1

2017-10-22T02:22:14.000Z

Scripts/plot_ArcticSystemsWorkshop_Fig2.py

zmlabe/ThicknessSensitivity

6defdd897a61d7d1a02f34a9f4ec92b2b17b3075

[ "MIT" ]

null

Scripts/plot_ArcticSystemsWorkshop_Fig2.py

zmlabe/ThicknessSensitivity

6defdd897a61d7d1a02f34a9f4ec92b2b17b3075

[ "MIT" ]

4

2018-04-05T17:55:36.000Z

2022-03-31T07:05:01.000Z

""" Plot for NCAR Arctic Systems workshop poster. Graph is DJF sea ice volume from PIOMAS over the satellite era. Notes ----- Author : Zachary Labe Date : 4 April 2018 """ ### Import modules import numpy as np import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec from mpl_toolkits.basemap i...

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null

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171f19a1c9e621f8b1151c6b7c0684a1d90d12d0

552

py

Python

src/ch6/heap_sort.py

tchitchikov/algorithms_practice

6a1ab226b4eb664a8a46853c94148a1ad0e0a558

[ "MIT" ]

null

src/ch6/heap_sort.py

tchitchikov/algorithms_practice

6a1ab226b4eb664a8a46853c94148a1ad0e0a558

[ "MIT" ]

null

src/ch6/heap_sort.py

tchitchikov/algorithms_practice

6a1ab226b4eb664a8a46853c94148a1ad0e0a558

[ "MIT" ]

null

import random from heaps import max_heaps, min_heaps def heap_sort(array): array = max_heaps.build_max_heap(array) i = len(array) - 1 output = [] while i >= 0: output.insert(0, array[0]) array = array[1:] array = max_heaps.max_heap(array, 0) i = i - 1 return output ...

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0

null

0

null

0

1

0

17211f08965cfcc8becd31fe9182b1682d452336

2,110

py

Python

setup.py

nickhand/jupyter-panel-proxy

55f405b7292df281dfd0306f1154fb31992eef19

[ "BSD-3-Clause" ]

3

2020-04-17T19:54:48.000Z

2021-03-07T17:08:06.000Z

setup.py

nickhand/jupyter-panel-proxy

55f405b7292df281dfd0306f1154fb31992eef19

[ "BSD-3-Clause" ]

12

2020-03-04T13:45:26.000Z

2022-01-14T04:01:53.000Z

setup.py

nickhand/jupyter-panel-proxy

55f405b7292df281dfd0306f1154fb31992eef19

[ "BSD-3-Clause" ]

3

2021-03-08T13:26:50.000Z

2021-12-20T01:02:00.000Z

import param from setuptools import find_packages, setup extras_require = { 'build': ['param >=1.7.0', 'setuptools'], 'tests': [ 'flake8', 'twine', 'rfc3986', 'keyring' ], } setup_args = dict( name="jupyter-panel-proxy", description='Jupyter Server Proxy for Panel...

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null

0

null

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1

0

172229cdfd779697e208462fd6b7eaf4fd180fa2

4,579

py

Python

cli/api.py

chacreton190/covid-data-model

10e86dee0aa17e9a4261787203d30c4631b5afb1

[ "MIT" ]

null

cli/api.py

chacreton190/covid-data-model

10e86dee0aa17e9a4261787203d30c4631b5afb1

[ "MIT" ]

null

cli/api.py

chacreton190/covid-data-model

10e86dee0aa17e9a4261787203d30c4631b5afb1

[ "MIT" ]

null

import api import logging import pathlib import click import itertools import us from api.can_api_definition import CovidActNowAreaTimeseries from api.can_api_definition import CovidActNowBulkTimeseries from libs.pipelines import api_pipeline from libs.datasets.dataset_utils import AggregationLevel from libs.datasets i...

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null

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1

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17227cf30b721c2e199e41d4753d20961284c5a7

2,335

py

Python

WilliamWallace/choose_db_dialog.py

gilliM/wallace

59202aefb6375f23fa6be72c13969bfe36614433

[ "Apache-2.0" ]

null

WilliamWallace/choose_db_dialog.py

gilliM/wallace

59202aefb6375f23fa6be72c13969bfe36614433

[ "Apache-2.0" ]

null

WilliamWallace/choose_db_dialog.py

gilliM/wallace

59202aefb6375f23fa6be72c13969bfe36614433

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ /*************************************************************************** WilliamWallaceDialog A QGIS plugin This plugin do a supervised classification ------------------- begin : 2016-05-17 git...

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0

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0.259259

0

null

0

null

0

1

0

172496d4e1a8fa80c8e14527010611354beb9faf

20,039

py

Python

PyYDLidar/PyX.py

SweiLz/PyYDLidar

ce2d916904af6cad3f64c6a48f7e6534b952d9a9

[ "MIT" ]

6

2020-09-02T15:32:22.000Z

2021-12-12T08:27:10.000Z

PyYDLidar/PyX.py

SweiLz/PyYDLidar

ce2d916904af6cad3f64c6a48f7e6534b952d9a9

[ "MIT" ]

1

2020-03-21T15:24:30.000Z

2020-03-22T16:50:33.000Z

PyYDLidar/PyX.py

SweiLz/PyYDLidar

ce2d916904af6cad3f64c6a48f7e6534b952d9a9

[ "MIT" ]

null

import threading import time from math import atan, pi import numpy as np from serial import Serial class Lidar: RESULT_OK = 0 RESULT_TIMEOUT = -1 RESULT_FAIL = -2 DEFAULT_TIMEOUT = 2000 cmd_stop = 0x65 cmd_scan = 0x60 cmd_force_scan = 0x61 cmd_reset = 0x80 cmd_force_stop = 0x00...

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0.011161

0

null

0

null

0

1

0

1725e9716ced32c4e508d22f5f3d4b1ba272e429

44,983

py

Python

Icarus/Photometry/Photometry_legacy.py

mhvk/Icarus

bd07ba440cc82d4374e90d6d95dc8844fd82ff19

[ "BSD-3-Clause" ]

10

2016-03-01T10:12:30.000Z

2021-08-02T02:36:53.000Z

Icarus/Photometry/Photometry_legacy.py

mhvk/Icarus

bd07ba440cc82d4374e90d6d95dc8844fd82ff19

[ "BSD-3-Clause" ]

2

2016-03-30T07:13:09.000Z

2016-04-15T08:54:09.000Z

Icarus/Photometry/Photometry_legacy.py

mhvk/Icarus

bd07ba440cc82d4374e90d6d95dc8844fd82ff19

[ "BSD-3-Clause" ]

13

2016-02-29T19:20:01.000Z

2017-05-21T15:25:32.000Z

# Licensed under a 3-clause BSD style license - see LICENSE from __future__ import print_function, division __all__ = ["Photometry_legacy"] from ..Utils.import_modules import * from .. import Utils from .. import Core from .. import Atmosphere ######################## class Photometry ######################## class...

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0

null

0

null

0

1

0

17271fe6063a50ed2061ed3af93c658a70080d06

3,952

py

Python

stayhome/business/forms/add_form.py

mageo/stayhomech

5afe922b13f0350a79eaff0401709f99c5a31e8b

[ "MIT" ]

3

2020-03-20T11:01:57.000Z

2020-03-20T16:29:12.000Z

stayhome/business/forms/add_form.py

stayhomech/stayhomech

5afe922b13f0350a79eaff0401709f99c5a31e8b

[ "MIT" ]

74

2020-03-23T21:35:07.000Z

2020-04-27T12:55:50.000Z

stayhome/business/forms/add_form.py

mageo/stayhomech

5afe922b13f0350a79eaff0401709f99c5a31e8b

[ "MIT" ]

3

2020-03-20T11:02:35.000Z

2020-03-20T16:29:23.000Z

import json import os import uuid from django import forms from captcha.fields import ReCaptchaField from phonenumber_field.formfields import PhoneNumberField from django.utils.translation import gettext_lazy as _ from django.utils.translation import get_language from geodata.models import NPA from business.models im...

29.274074

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0

null

0

null

0

1

0

172924a6a260577eee406ab8308643a692027ef4

1,897

py

Python

src/management_tools.py

EOEPCA/um-pep-engine

efdf87027b54efc5686b3abd3882095441994978

[ "Apache-2.0" ]

null

src/management_tools.py

EOEPCA/um-pep-engine

efdf87027b54efc5686b3abd3882095441994978

[ "Apache-2.0" ]

3

2021-04-12T11:40:39.000Z

2022-03-08T17:04:03.000Z

src/management_tools.py

EOEPCA/um-pep-engine

efdf87027b54efc5686b3abd3882095441994978

[ "Apache-2.0" ]

1

2020-07-22T10:35:58.000Z

#!/usr/local/bin/python3 import argparse import sys from handlers.mongo_handler import Mongo_Handler from bson.json_util import dumps custom_mongo = Mongo_Handler("resource_db", "resources") def list_resources(user,resource): if resource is not None: return custom_mongo.get_from_mongo("resource_id", resou...

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0

null

0

null

0

1

0

172a85f182f53fccf2d57615f7dc161c29331240

2,310

py

Python

python/speaker_2_sound.py

now-start/20_HI001L_-

494607c21a17c093e0d6bad102416c1afa348982

[ "MIT" ]

null

python/speaker_2_sound.py

now-start/20_HI001L_-

494607c21a17c093e0d6bad102416c1afa348982

[ "MIT" ]

null

python/speaker_2_sound.py

now-start/20_HI001L_-

494607c21a17c093e0d6bad102416c1afa348982

[ "MIT" ]

null

# speaker_2_sound.py # 한 스피커로 녹음해서 정위상, 역위상 wav를 생성한 다음 정위상은 왼쪽, 역위상은 오른쪽 스피커에서 재생시키는 소스코드 # (정위상, 역위상 파일을 하나의 스테레오 wav로 만듦) # 음성(소음) 녹음, 재생 하는 패키지(wav파일) import pyaudio import wave # 위상 반전, 파장 결합(Merge), 소리 재생 하는 패키지 from pydub import AudioSegment from pydub.playback import play from scipy.io import wavfile import...

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0.104167

0

null

0

null

0

1

0

172d04249db22c0e936f3d55daaddef381d26533

1,230

py

Python

demo_wait_negative.py

rdagger/micropython-ads1220

c90f939517c8163b234210b8cf91b3ce948b5b1c

[ "MIT" ]

2

2021-08-25T11:40:23.000Z

2022-02-28T05:31:18.000Z

demo_wait_negative.py

rdagger/micropython-ads1220

c90f939517c8163b234210b8cf91b3ce948b5b1c

[ "MIT" ]

null

demo_wait_negative.py

rdagger/micropython-ads1220

c90f939517c8163b234210b8cf91b3ce948b5b1c

[ "MIT" ]

1

2021-08-08T11:39:47.000Z

"""ADS1220 example (monitor for negative voltage).""" from time import sleep from machine import Pin, SPI # type: ignore from ads1220 import ADC cs = 15 # Chip select pin drdy = 27 # Data ready pin spi = SPI(1, baudrate=10000000, # 10 MHz (try lower speed to troubleshoot) sck=Pin(14), ...

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0

null

0

null

0

1

0

172ec1ffd20a09752459f22ce0256f74dd0dd346

10,026

py

Python

models/unet.py

c22n/unet-pytorch

fc0db7ca69d4149c736b8d0923272f14fb5693fe

[ "MIT" ]

3

2018-03-10T05:48:42.000Z

2018-07-25T01:18:30.000Z

models/unet.py

c22n/unet-pytorch

fc0db7ca69d4149c736b8d0923272f14fb5693fe

[ "MIT" ]

null

models/unet.py

c22n/unet-pytorch

fc0db7ca69d4149c736b8d0923272f14fb5693fe

[ "MIT" ]

null

### Class to define 3D U-Net. from typing import List, Tuple import numpy as np import torch from torch.autograd import Variable import torch.nn as nn import torch.nn.functional as F from models.custom_layers import Softmax3d class AnalysisLayer(nn.Module): """Module for analysis layer of U-Net architecture."""...

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0.185897

0

null

0

null

0

1

0

1731602b3f7eea63308baa2e86c34fe547fe10ff

812

py

Python

matrix/matrix.py

GlibGozer/Matrix

5bc978a47a63ccf51b0be01ab28f5eca5819bcba

[ "Apache-2.0" ]

null

matrix/matrix.py

GlibGozer/Matrix

5bc978a47a63ccf51b0be01ab28f5eca5819bcba

[ "Apache-2.0" ]

null

matrix/matrix.py

GlibGozer/Matrix

5bc978a47a63ccf51b0be01ab28f5eca5819bcba

[ "Apache-2.0" ]

null

import os import random from discord.ext import commands from dotenv import load_dotenv load_dotenv() TOKEN = os.getenv('DISCORD_TOKEN') bot = commands.Bot(command_prefix='m!') @bot.command(name='compliment', help='Makes you feel better') async def nine_nine(ctx): compliments = [ 'Everyone...

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0.657658

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0

0.006504

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27.066667

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0

0.271684

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0.173913

0

null

0

null

0

1

0

173361be9e30006fffba077574f0e94fd3d9ef74

1,602

py

Python

utils/plotting.py

marcelo-santos-12/lbp_paper

56d2457dce2c97a16de9e034b1a87ef0ceb9446a

[ "MIT" ]

null

utils/plotting.py

marcelo-santos-12/lbp_paper

56d2457dce2c97a16de9e034b1a87ef0ceb9446a

[ "MIT" ]

null

utils/plotting.py

marcelo-santos-12/lbp_paper

56d2457dce2c97a16de9e034b1a87ef0ceb9446a

[ "MIT" ]

null

''' Modulo que implementa as funcoes de plot da curva roc ''' import matplotlib.pyplot as plt import numpy as np import os from sklearn.metrics import plot_roc_curve plt.style.use('ggplot') def plot_results(_id, best_clf, x_test, y_test, method, variant, P, R, output): if not os.path.exists(output + '/ARR_ROC/...

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0.273973

0.202318

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1,602

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0.24

0

null

0

null

0

1

0

17352702a9e2965909b6092dc8c8e7e3c676d60c

552

py

Python

tests/algorithms/test_rice_siff.py

rvyjidacek/fcapsy

6d531a337b0e65cac10e41b84d232498f3a05b76

[ "MIT" ]

null

tests/algorithms/test_rice_siff.py

rvyjidacek/fcapsy

6d531a337b0e65cac10e41b84d232498f3a05b76

[ "MIT" ]

null

tests/algorithms/test_rice_siff.py

rvyjidacek/fcapsy

6d531a337b0e65cac10e41b84d232498f3a05b76

[ "MIT" ]

null

from fcapsy import Lattice, Context, Concept from fcapsy.similarity import jaccard from fcapsy.algorithms.rice_siff import concept_subset object_labels = tuple(range(5)) attribute_labels = tuple(range(4)) bools = [ [1, 0, 0, 0], [1, 1, 1, 0], [0, 1, 0, 1], [1, 1, 0, 0], [0, 0, 1, 0], ] context = Co...

24

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0.024523

0.021798

0.032698

0

0.049774

0.199275

552

22

58

25.090909

0.780543

0

0.055556

1

0.055556

false

0

0.166667

0

0.222222

0

null

0

null

0

1

0

17363b957c4247dd1d67870327e5ffafa8e428ab

17,766

py

Python

examples/direct_fidelity_estimation.py

Apratim7py/Cirq

90bbd14f352980cc222b1b3c05a40d09734b9070

[ "Apache-2.0" ]

null

examples/direct_fidelity_estimation.py

Apratim7py/Cirq

90bbd14f352980cc222b1b3c05a40d09734b9070

[ "Apache-2.0" ]

null

examples/direct_fidelity_estimation.py

Apratim7py/Cirq

90bbd14f352980cc222b1b3c05a40d09734b9070

[ "Apache-2.0" ]

null

"""Implements direct fidelity estimation. Fidelity between the desired pure state rho and the actual state sigma is defined as: F(rho, sigma) = Tr (rho sigma) It is a unit-less measurement between 0.0 and 1.0. The following two papers independently described a faster way to estimate its value: Direct Fidelity Estima...

38.960526

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17,766

4.792866

0.179201

0.029588

0.016318

0.020084

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0.25473

0.203622

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null

0

null

0

1

0

1738bf0d16768883469e7f50b35ee82154920665

3,364

py

Python

large_data_analysis/treePlotter.py

Codefans-fan/p2pSpider

2f76fb43f3527cea8ed208089153ec12660907f4

[ "MIT" ]

null

large_data_analysis/treePlotter.py

Codefans-fan/p2pSpider

2f76fb43f3527cea8ed208089153ec12660907f4

[ "MIT" ]

null

large_data_analysis/treePlotter.py

Codefans-fan/p2pSpider

2f76fb43f3527cea8ed208089153ec12660907f4

[ "MIT" ]

null

# -*- coding: utf-8 -*- ''' Created on Mar 21, 2016 @author: fky ''' import matplotlib.pyplot as plt decisionNode = dict(boxstyle='sawtooth',fc='0.8') leafNode = dict(boxstyle='round4',fc='0.8') arrow_args = dict(arrowstyle='<-') def plotNode(nodeTxt,centerPt,parentPt,nodeType): createPlot.ax1.annot...

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0.007855

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0.228277

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0.095729

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118

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0

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false

0

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0.012987

0

null

0

null

0

1

0

173d794fa36219432d2bd1e7a2317117f2a2f269

2,617

py

Python

protogen/core.py

connermarzen/proto_gen_compiler

38c045dcf90dcf3122dcc389c9ff0e200f9ba21d

[ "MIT" ]

null

protogen/core.py

connermarzen/proto_gen_compiler

38c045dcf90dcf3122dcc389c9ff0e200f9ba21d

[ "MIT" ]

null

protogen/core.py

connermarzen/proto_gen_compiler

38c045dcf90dcf3122dcc389c9ff0e200f9ba21d

[ "MIT" ]

null

import glob import os import sys from pprint import pprint from typing import List from lark import Lark from protogen.grammar.transformer import PGTransformer from protogen.util import PGFile class PGParser(object): def __init__(self, inputs: List[str], syntaxPath: str = 'grammar/proto_gen.lar...

34.434211

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0.549866

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2,617

4.671096

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0.025605

0.027738

0.154339

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0

0.001713

0.330913

2,617

75

80

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0.801256

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0

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false

0

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0.258621

0

null

0

null

0

1

0

173e0d807440fb436cd40c600fbbb74b5622d72c

6,145

py

Python

shell/packaging/setup.py

garyli1019/impala

ea0e1def6160d596082b01365fcbbb6e24afb21d

[ "Apache-2.0" ]

null

shell/packaging/setup.py

garyli1019/impala

ea0e1def6160d596082b01365fcbbb6e24afb21d

[ "Apache-2.0" ]

1

2022-03-29T21:58:11.000Z

shell/packaging/setup.py

garyli1019/impala

ea0e1def6160d596082b01365fcbbb6e24afb21d

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache Licen...

36.147059

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0.706591

873

6,145

4.879725

0.34937

0.039437

0.016432

0.009859

0.092019

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0.052582

0

0.012779

0.197722

6,145

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85

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0

0.096386

0

0.144578

0

null

0

null

0

1

0

17447407c571b28418fb7fbb866da851ca2f25a2

1,420

py

Python

tests/surf_curl_methods.py

jlmaurer/tectosaur

7cc5606d814f061395b19754e7a4b6c5e4c236e5

[ "MIT" ]

17

2017-06-29T16:48:56.000Z

2021-10-03T18:31:41.000Z

tests/surf_curl_methods.py

jlmaurer/tectosaur

7cc5606d814f061395b19754e7a4b6c5e4c236e5

[ "MIT" ]

4

2018-05-29T08:21:13.000Z

2021-04-01T01:28:50.000Z

tests/surf_curl_methods.py

jlmaurer/tectosaur

7cc5606d814f061395b19754e7a4b6c5e4c236e5

[ "MIT" ]

8

2019-06-10T22:19:40.000Z

2022-01-12T20:55:37.000Z

import numpy as np basis_gradient = [[-1.0, -1.0], [1.0, 0.0], [0.0, 1.0]] e = [[[int((i - j) * (j - k) * (k - i) / 2) for k in range(3)] for j in range(3)] for i in range(3)] tri = np.random.rand(3,3) # tri = np.array([[0,0,0],[1.1,0,0],[0,1.1,0]]) # tri = np.array([[0,0,0],[1,1,0],[0,1,0]]) surf_curl = np.empt...

28.4

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0.607042

260

1,420

3.157692

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0.102314

0.107186

0.093788

0.320341

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0.165652

0

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0.105263

0

null

0

null

0

1

0

1745411ed8dd4e2c057611bffced47e22e3caab1

1,119

py

Python

ga4gh/testbed/submit/report_submitter.py

ga4gh/ga4gh-testbed-lib

599bb28e58c82e30058239e04525fba313a4bae4

[ "Apache-2.0" ]

null

ga4gh/testbed/submit/report_submitter.py

ga4gh/ga4gh-testbed-lib

599bb28e58c82e30058239e04525fba313a4bae4

[ "Apache-2.0" ]

3

2022-03-21T18:30:27.000Z

2022-03-30T18:04:05.000Z

ga4gh/testbed/submit/report_submitter.py

ga4gh/ga4gh-testbed-lib

599bb28e58c82e30058239e04525fba313a4bae4

[ "Apache-2.0" ]

null

from re import sub import requests class ReportSubmitter(): def submit_report(series_id, series_token, report, url="http://localhost:4500/reports"): ''' Submits a report to the GA4GH testbed api. Required arguments: series_id - A series ID is needed by server to group...

33.909091

107

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5.293651

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0

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1,119

32

108

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0

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0

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false

0

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0

0.294118

0

null

0

null

0

1

0

17458c0950b3d6fa10192f5ac3b3e23c730302f2

1,611

py

Python

phovea_server/_utils.py

phovea/phovea_server

f83879f58669ff4d554efcb727b1c6fd0185041a

[ "BSD-3-Clause" ]

3

2018-06-08T01:28:56.000Z

2020-01-10T14:17:34.000Z

phovea_server/_utils.py

phovea/phovea_server

f83879f58669ff4d554efcb727b1c6fd0185041a

[ "BSD-3-Clause" ]

88

2016-11-06T08:28:21.000Z

2022-03-22T07:18:59.000Z

phovea_server/_utils.py

phovea/phovea_server

f83879f58669ff4d554efcb727b1c6fd0185041a

[ "BSD-3-Clause" ]

6

2017-06-06T20:43:00.000Z

2020-02-13T18:23:46.000Z

############################################################################### # Caleydo - Visualization for Molecular Biology - http://caleydo.org # Copyright (c) The Caleydo Team. All rights reserved. # Licensed under the new BSD license, available at http://caleydo.org/license ######################################...

26.85

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1,611

59

80

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false

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0

null

0

null

0

1

0

17479b6aa39e88b50ca6246c79ded1da0b011cc9

1,785

py

Python

ait/core/server/plugins/PacketAccumulator.py

kmarwah/AIT-Core

c7af2ff58f51ba3c3d66cb28fbfe80c3b0712245

[ "MIT" ]

1

2022-01-22T13:55:49.000Z

ait/core/server/plugins/PacketAccumulator.py

kmarwah/AIT-Core

c7af2ff58f51ba3c3d66cb28fbfe80c3b0712245

[ "MIT" ]

2

2021-09-16T19:14:52.000Z

2021-09-16T19:16:03.000Z

ait/core/server/plugins/PacketAccumulator.py

kmarwah/AIT-Core

c7af2ff58f51ba3c3d66cb28fbfe80c3b0712245

[ "MIT" ]

null

from ait.core.server.plugins import Plugin from gevent import Greenlet, sleep class PacketAccumulator(Plugin): def __init__(self, inputs=None, outputs=None, zmq_args=None, timer_seconds=1, max_size_octets=1024): super().__init__(inputs, outputs, zmq_args) self.packet_queue = [] self.size_...

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0

0.175

0

null

0

null

0

1

0

174851ae78f447b7133dd774eabe7edf75caa7c7

3,679

py

Python

services/ui_backend_service/data/cache/generate_dag_action.py

runsascoded/metaflow-service

ac7770dfeae17fd060129d408fa3bb472fc00b86

[ "Apache-2.0" ]

null

services/ui_backend_service/data/cache/generate_dag_action.py

runsascoded/metaflow-service

ac7770dfeae17fd060129d408fa3bb472fc00b86

[ "Apache-2.0" ]

null

services/ui_backend_service/data/cache/generate_dag_action.py

runsascoded/metaflow-service

ac7770dfeae17fd060129d408fa3bb472fc00b86

[ "Apache-2.0" ]

null

import hashlib import json from .client import CacheAction from .utils import streamed_errors, DAGParsingFailed, DAGUnsupportedFlowLanguage from .custom_flowgraph import FlowGraph from metaflow import Run, Step, DataArtifact, namespace from metaflow.exception import MetaflowNotFound namespace(None) # Always use glo...

29.669355

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3,679

5.153465

0.381188

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0.021614

0.036023

0.113353

0.066282

0.042267

0

0.002392

0.318293

3,679

123

102

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false

0

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0

0.25

0

null

0

null

0

1

0

1749ab03881bd2e5bd99504afb6c2d2a4c5881b2

3,803

py

Python

examples/nontrivial/main.py

splnkit/splunk-tracer-python

4be681cbb4156284daaaa35dcca8c8992f1aa191

[ "MIT" ]

null

examples/nontrivial/main.py

splnkit/splunk-tracer-python

4be681cbb4156284daaaa35dcca8c8992f1aa191

[ "MIT" ]

null

examples/nontrivial/main.py

splnkit/splunk-tracer-python

4be681cbb4156284daaaa35dcca8c8992f1aa191

[ "MIT" ]

null

""" Synthetic example with high concurrency. Used primarily to stress test the library. """ import argparse import sys import time import threading import random # Comment out to test against the published copy import os sys.path.insert(1, os.path.dirname(os.path.realpath(__file__)) + '/../..') import opentracing imp...

34.572727

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4.944568

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0.026906

0.1713

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0

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0.27715

3,803

109

111

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0

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false

0

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0

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0

null

0

null

0

1

0

174c839ee6b2c3dcc46328886c1e0ff5e1298c8c

2,773

py

Python

pyoti/plugins/datasources/generic.py

cellular-nanoscience/pyotic

4cf68d4fd4efe2f1cbb4bb6fd61a66af0d15eaff

[ "Apache-2.0" ]

1

2018-06-12T11:46:54.000Z

pyoti/plugins/datasources/generic.py

cellular-nanoscience/pyotic

4cf68d4fd4efe2f1cbb4bb6fd61a66af0d15eaff

[ "Apache-2.0" ]

6

2017-09-08T09:02:20.000Z

2018-11-14T10:22:01.000Z

pyoti/plugins/datasources/generic.py

cellular-nanoscience/pyotic

4cf68d4fd4efe2f1cbb4bb6fd61a66af0d15eaff

[ "Apache-2.0" ]

3

2017-09-08T11:08:28.000Z

2019-07-17T21:40:13.000Z

# -*- coding: utf-8 -*- """ Created on Fri Mar 18 13:41:17 2016 @author: Tobias Jachowski """ import inspect import numbers from pyoti.data.datasource import DataSource from pyoti.picklable import unboundfunction class GenericDataFile(DataSource): def __init__(self, load_data, filename, directory=None, sampling...

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null

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174dc1f508c7bead5580d0a22374724068ce4f6c

4,721

py

Python

src/matlab2cpp/rules/parallel.py

neilferg/matlab2cpp

aa26671fc73dad297c977511053b076e05bdd2df

[ "BSD-3-Clause" ]

null

src/matlab2cpp/rules/parallel.py

neilferg/matlab2cpp

aa26671fc73dad297c977511053b076e05bdd2df

[ "BSD-3-Clause" ]

null

src/matlab2cpp/rules/parallel.py

neilferg/matlab2cpp

aa26671fc73dad297c977511053b076e05bdd2df

[ "BSD-3-Clause" ]

null

def variable_lists(node): nodes = node.flatten(ordered=False, reverse=False, inverse=False) #store some variable names, in private or shared assigned_var = [] type_info = [] #get iterator name iterator_name = node[0].name for n in nodes: if n.cls == "Assign": #index = ...

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null

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174dd47506793e6d8f38f7f917f3d5a1459219eb

1,154

py

Python

test/test_clock.py

Ham22/python-as1130-clock

a97fbdf3d0fe5a9cafa7392458c44782f688daa7

[ "Apache-2.0" ]

null

test/test_clock.py

Ham22/python-as1130-clock

a97fbdf3d0fe5a9cafa7392458c44782f688daa7

[ "Apache-2.0" ]

null

test/test_clock.py

Ham22/python-as1130-clock

a97fbdf3d0fe5a9cafa7392458c44782f688daa7

[ "Apache-2.0" ]

null

#!/usr/bin/python3 import unittest from unittest.mock import MagicMock, call from clock import clock class TestClock(unittest.TestCase): def setUp(self): self.grid = MagicMock() self.clock = clock.Clock(self.grid) def test_grid_is_cleared_before_setting_new_led(self): self.clock.up...

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null

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null

0

1

0

174f039433c2e09bc4b24b82001c92bcb71f38f0

2,580

py

Python

opencv/crop_youtube_video_screenshots.py

kinow/dork-scripts

a4fa7980a8cdff41df806bb4d4b70f7b4ac89349

[ "CC-BY-4.0" ]

1

2016-08-07T07:45:24.000Z

opencv/crop_youtube_video_screenshots.py

kinow/dork-scripts

a4fa7980a8cdff41df806bb4d4b70f7b4ac89349

[ "CC-BY-4.0" ]

null

opencv/crop_youtube_video_screenshots.py

kinow/dork-scripts

a4fa7980a8cdff41df806bb4d4b70f7b4ac89349

[ "CC-BY-4.0" ]

null

#!/usr/bin/env python3 """A script to iterate through directories and produce cropped images. The images contain the video screen area of YouTube videos. The screenshots were taken from my computer, with 900/1600 resolution, and the location is always the same for the ROI. Ideally a future version will automatically...

32.25

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0

null

0

null

0

1

0

1754c01d73f56bdac624a68f9dd5e0ed03393ed4

1,297

py

Python

setup.py

carlosdamazio/python-aisweb

bc54e26b5ea758bcc69351d268a44e0b520d0956

[ "MIT" ]

8

2018-04-03T15:07:09.000Z

2022-03-13T13:12:45.000Z

setup.py

carlosdamazio/python-aisweb

bc54e26b5ea758bcc69351d268a44e0b520d0956

[ "MIT" ]

5

2018-04-03T20:09:24.000Z

2019-09-10T01:17:42.000Z

setup.py

carlosdamazio/python-aisweb

bc54e26b5ea758bcc69351d268a44e0b520d0956

[ "MIT" ]

1

2018-04-03T04:09:58.000Z

# -*- coding: utf-8 -*- from setuptools import find_packages, setup import os import re package = 'python_aisweb' init_py = open(os.path.join(package, '__init__.py')).read() version = re.search( "^__version__ = ['\"]([^'\"]+)['\"]", init_py, re.MULTILINE).group(1) author = re.search( "^__author__ = ['\"]([^'...

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1,297

46

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0

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0

0.131579

0

null

0

null

0

1

0

175519be4a7561f84e8552643f76c512dbaaf58b

1,254

py

Python

external_api_tests/test_weather.py

AbhinavTalari/SOAD-Project

aa89f481da2b6f29c8750d9c144f82368be81a7b

[ "MIT" ]

null

external_api_tests/test_weather.py

AbhinavTalari/SOAD-Project

aa89f481da2b6f29c8750d9c144f82368be81a7b

[ "MIT" ]

null

external_api_tests/test_weather.py

AbhinavTalari/SOAD-Project

aa89f481da2b6f29c8750d9c144f82368be81a7b

[ "MIT" ]

2

2020-12-21T07:05:41.000Z

2021-02-17T17:33:48.000Z

import pytest import requests MY_KEY = '02db6ca787d18d34175d3c7996cf193b' @pytest.mark.parametrize("key , q , extras" , [ (MY_KEY , "London" , "okay") , ('' , "London" , "Wrong key"), ('abc' , "London" , "Wrong key"), (MY_KEY , "abc" , "Wrong city"), (MY_KEY , " " , "blank city"), ('' ...

20.225806

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1,254

61

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0

0.1

0

null

0

null

0

1

0

175675d7610b11f7f5a72c44eb62e7eb639038db

1,372

py

Python

plugins/operators/vivareal_operator.py

lucaspfigueiredo/elt-pipeline

71537f5c2bd2e6502ea44c8dab44cc4ba8919e7f

[ "MIT" ]

2

2022-03-29T23:48:35.000Z

2022-03-30T02:10:34.000Z

plugins/operators/vivareal_operator.py

lucaspfigueiredo/elt-pipeline

71537f5c2bd2e6502ea44c8dab44cc4ba8919e7f

[ "MIT" ]

null

plugins/operators/vivareal_operator.py

lucaspfigueiredo/elt-pipeline

71537f5c2bd2e6502ea44c8dab44cc4ba8919e7f

[ "MIT" ]

null

import json import logging from hooks.vivareal_hook import VivarealHook from airflow.utils.decorators import apply_defaults from airflow.models.baseoperator import BaseOperator from airflow.providers.amazon.aws.hooks.s3 import S3Hook logger = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO) class...

31.181818

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4.926829

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0.089109

0.059406

0.086634

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0.018109

0.27551

1,372

44

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0

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false

0

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0.277778

0

null

0

null

0

1

0

1758ea53434e4693152e9c5c19753c1eb492d79b

13,073

py

Python

Artie/internals/rl/environment.py

MaxStrange/ArtieInfant

1edbb171a5405d2971227f2d2d83acb523c70034

[ "MIT" ]

1

2018-04-28T16:55:05.000Z

Artie/internals/rl/environment.py

MaxStrange/ArtieInfant

1edbb171a5405d2971227f2d2d83acb523c70034

[ "MIT" ]

null

Artie/internals/rl/environment.py

MaxStrange/ArtieInfant

1edbb171a5405d2971227f2d2d83acb523c70034

[ "MIT" ]

null

""" This module provides the observations and rewards for testing and for training the RL agent to vocalize. """ import collections import logging import math import numpy as np import random import output.voice.synthesizer as synth # pylint: disable=locally-disabled, import-error import warnings Step = collections.n...

47.365942

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0.025108

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0.178632

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0.134432

0.125016

0

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47.538182

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0.102941

false

0

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0.227941

0

null

0

null

0

1

0

175a3b4d2739554618c982905727d9731a509a3f

934

py

Python

boot.py

Ca11MeE/easy_frame

c3ec3069e3f61d1c01e5bd7ebbdf28e953a8ffa8

[ "Apache-2.0" ]

null

boot.py

Ca11MeE/easy_frame

c3ec3069e3f61d1c01e5bd7ebbdf28e953a8ffa8

[ "Apache-2.0" ]

null

boot.py

Ca11MeE/easy_frame

c3ec3069e3f61d1c01e5bd7ebbdf28e953a8ffa8

[ "Apache-2.0" ]

null

# coding: utf-8 from flask import Flask import mysql,os,re from mysql import Pool import properties # 定义WEB容器(同时防止json以ascii解码返回) app=Flask(__name__) app.config['JSON_AS_ASCII'] = False # 处理各模块中的自动注入以及组装各蓝图 # dir_path中为蓝图模块路径,例如需要引入的蓝图都在routes文件夹中,则传入参数'/routes' def map_apps(dir_path): path=os.getcwd()+dir_path ...

22.780488

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0.555556

0.049383

0.038801

0

0.002729

0.215203

934

40

97

23.35

0.770805

0.165953

0

0.063472

0

1

0.074074

false

0.037037

0.185185

0.037037

0.296296

0.222222

0

null

0

null

0

1

0

175af7185594f72ab16004503b17449a4a18cdad

3,213

py

Python

chemprop/train/evaluate.py

wangdingyan/hybridUQ

c141a4bec0e716a12444f7e9ab0d7c975df93184

[ "MIT" ]

6

2021-10-01T10:17:29.000Z

2021-12-29T04:37:10.000Z

chemprop/train/evaluate.py

wangdingyan/hybridUQ

c141a4bec0e716a12444f7e9ab0d7c975df93184

[ "MIT" ]

null

chemprop/train/evaluate.py

wangdingyan/hybridUQ

c141a4bec0e716a12444f7e9ab0d7c975df93184

[ "MIT" ]

1

2021-09-21T17:39:03.000Z

from collections import defaultdict import logging from typing import Dict, List from .predict import predict from chemprop.data import MoleculeDataLoader, StandardScaler from chemprop.utils.metrics import get_metric_func from chemprop.models import MoleculeModel, PB_MoleculeModel def evaluate_predictions(preds ...

37.360465

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3,213

4.707182

0.218232

0.042254

0.038732

0.035211

0.304577

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0.192488

0.146714

0.062207

0

0.005408

0.366947

3,213

85

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0

0.253521

0

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0

1

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false

0

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0

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0.014085

0

null

0

null

0

1

0

175dc9a3ede195f91638565c928e9e3207f1f8ca

1,026

py

Python

python/prototype-python2/test-libchewing-contrib/userphrase_enumerate.py

samwhelp/demo-libchewing

13ce445cf1b71e42e765d1500d63234f88700835

[ "MIT" ]

null

python/prototype-python2/test-libchewing-contrib/userphrase_enumerate.py

samwhelp/demo-libchewing

13ce445cf1b71e42e765d1500d63234f88700835

[ "MIT" ]

null

python/prototype-python2/test-libchewing-contrib/userphrase_enumerate.py

samwhelp/demo-libchewing

13ce445cf1b71e42e765d1500d63234f88700835

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import chewing import ctypes chewing._libchewing.chewing_userphrase_has_next.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint), ctypes.POINTER(ctypes.c_uint)] chewing._libchewing.chewing_userphrase_get.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_uint, ...

30.176471

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0.2

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null

0

null

0

1

0

1761cb53f94a10c32873088a40b0c2dc8567f7e7

18,276

py

Python

lib/rule_engine/types.py

rwspielman/rule-engine

1d84d5599fe5ab34bc8d6fc00bbe00f847352428

[ "BSD-3-Clause" ]

149

2018-04-04T12:47:38.000Z

2022-03-25T07:25:55.000Z

lib/rule_engine/types.py

rwspielman/rule-engine

1d84d5599fe5ab34bc8d6fc00bbe00f847352428

[ "BSD-3-Clause" ]

26

2020-01-06T17:29:26.000Z

2022-03-25T07:01:49.000Z

lib/rule_engine/types.py

rwspielman/rule-engine

1d84d5599fe5ab34bc8d6fc00bbe00f847352428

[ "BSD-3-Clause" ]

24

2020-02-15T22:58:30.000Z

2022-03-22T02:15:26.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # rule_engine/types.py # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list ...

35.695313

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0.442857

0

null

0

null

0

1

0

17623540444eb9269b6276c7ee4a47d541023c28

2,437

py

Python

data_pr_downloader.py

froi/data-pr

07b386457f1868573181928cc8caecc970e7b44f

[ "MIT" ]

6

2018-01-09T14:58:42.000Z

2019-09-17T19:52:03.000Z

data_pr_downloader.py

froi/data-pr

07b386457f1868573181928cc8caecc970e7b44f

[ "MIT" ]

40

2019-08-21T12:05:26.000Z

2021-07-14T10:39:27.000Z

data_pr_downloader.py

froi/data-pr

07b386457f1868573181928cc8caecc970e7b44f

[ "MIT" ]

1

2018-01-09T21:23:53.000Z

from datetime import datetime import json import logging from mimetypes import guess_extension import os import requests from slugify import slugify FORMAT = '%(asctime)-15s - %(message)s' logging.basicConfig(format=FORMAT) logger = logging.getLogger('data_pr') BASE_DATA_DIR = 'data_files' DATA_PR_CATALOG_PATH = f'{B...

34.814286

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0.107506

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0

0.002572

0.202298

2,437

69

88

35.318841

0.80607

0

0.113208

0

0.264259

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0

1

0.056604

false

0

0.132075

0

0.188679

0

null

0

null

0

1

0

1764184768f6f8663aaf405c83cd769d6fb4865b

1,735

py

Python

CodeBERT/preprocess_data.py

code-backdoor/code-backdoor

1eeb3d79aa8a54c8f08e8d0156b569de5edd974e

[ "MIT" ]

null

CodeBERT/preprocess_data.py

code-backdoor/code-backdoor

1eeb3d79aa8a54c8f08e8d0156b569de5edd974e

[ "MIT" ]

null

CodeBERT/preprocess_data.py

code-backdoor/code-backdoor

1eeb3d79aa8a54c8f08e8d0156b569de5edd974e

[ "MIT" ]

null

import gzip import glob import os import json import numpy as np from more_itertools import chunked DATA_DIR = '/mnt/wanyao/zsj/codesearchnet' DEST_DIR = '/mnt/wanyao/zsj/CodeBERT/data/codesearch/train_valid' def format_str(string): for char in ['\r\n', '\r', '\n']: string = string.replace(char, ' ') ...

33.365385

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1,735

4.360169

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0.03207

0.034985

0.029155

0

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0.2317

1,735

51

111

34.019608

0.766692

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0

0.136962

0.048445

0

1

0.071429

false

0

0.142857

0

0.261905

0.047619

0

null

0

null

0

1

0

17690a767660c008e60f5e5fe1a87037ce7c37c2

28,559

py

Python

bruhat/huffman.py

punkdit/bruhat

3231eacc49fd3464542f7eb72684751371d9876c

[ "MIT" ]

3

2020-04-07T13:21:30.000Z

2020-07-15T02:07:20.000Z

bruhat/huffman.py

punkdit/bruhat

3231eacc49fd3464542f7eb72684751371d9876c

[ "MIT" ]

null

bruhat/huffman.py

punkdit/bruhat

3231eacc49fd3464542f7eb72684751371d9876c

[ "MIT" ]

null

#!/usr/bin/python3 """ https://golem.ph.utexas.edu/category/2019/03/how_much_work_can_it_be_to_add.html#c055688 see also entropy.py """ import sys from functools import reduce from operator import add from math import log, log2 from random import shuffle, choice, randint, seed #import numpy #from matplotlib import...

26.105119

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0.010306

0.421084

0.340621

0.307126

0.283495

0.242933

0.207082

0

0.026142

0.357085

28,559

1,093

102

26.129003

0.713687

0.096607

0

0.362176

0

0.001236

0.02954

0

0.098888

1

0.075402

false

0.002472

0.013597

0.190358

0.02225

0

null

0

null

0

1

0

176cfc7beca4767a39789010087bddac4d12b45d

1,759

py

Python

p384_Shuffle_an_Array.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

p384_Shuffle_an_Array.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

p384_Shuffle_an_Array.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

''' - Leetcode problem: 384 - Difficulty: Medium - Brief problem description: Shuffle a set of numbers without duplicates. Example: // Init an array with set 1, 2, and 3. int[] nums = {1,2,3}; Solution solution = new Solution(nums); // Shuffle the array [1,2,3] and return its result. Any permutation of [1,2,3] mu...

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17710ad793bc93dd8874daa574ca41c7a810cdf1

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py

Python

nestor/datasets/base.py

usnistgov/nestor-tmp

6cc35dcf4dac029f94c4bc92783b5dc37bc205ce

[ "RSA-MD" ]

16

2018-07-06T16:36:56.000Z

2021-12-13T03:02:02.000Z

nestor/datasets/base.py

usnistgov/nestor-tmp

6cc35dcf4dac029f94c4bc92783b5dc37bc205ce

[ "RSA-MD" ]

46

2018-08-06T15:51:35.000Z

2021-08-02T21:00:51.000Z

nestor/datasets/base.py

usnistgov/nestor-tmp

6cc35dcf4dac029f94c4bc92783b5dc37bc205ce

[ "RSA-MD" ]

7

2020-04-27T18:56:24.000Z

2021-08-14T02:44:40.000Z

from pathlib import Path import pandas as pd def load_excavators(cleaned=False): """ Helper function to load excavator toy dataset. Hodkiewicz, M., and Ho, M. (2016) "Cleaning historical maintenance work order data for reliability analysis" in Journal of Quality in Maintenance Engineering, Vol 22...

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0

null

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0

177194c329dea268086e33e7d66d605e4b6732f1

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py

Python

server/test/test_server.py

byee123/battleships

0cd527217c8727f7b3274d8a661cbf8d49aa4276

[ "MIT" ]

2

2020-11-02T08:04:06.000Z

2020-11-25T12:20:45.000Z

server/test/test_server.py

byee123/battleships

0cd527217c8727f7b3274d8a661cbf8d49aa4276

[ "MIT" ]

17

2020-11-02T04:30:17.000Z

2020-12-07T00:35:34.000Z

server/test/test_server.py

byee123/battleships

0cd527217c8727f7b3274d8a661cbf8d49aa4276

[ "MIT" ]

14

2020-10-05T08:15:59.000Z

2020-11-28T10:31:40.000Z

import unittest from game import Game import server REDIS_HOST = '192.168.20.50' class TestServer(unittest.TestCase): """Please note that the tests in this suite only work if a Redis host is available (see REDIS_HOST above). """ def test_redis_connection(self): """Test that the Battleship ser...

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1772a508f28a639e2e47a3e3c85f76e1e18b4977

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py

Python

src/tenants/management/commands/update_lastseen.py

litedesk/litedesk-webserver-provision

1576b9d3e5e2e64d1136d276767c2710cfb1938f

[ "Apache-2.0" ]

1

2016-01-18T08:19:22.000Z

src/tenants/management/commands/update_lastseen.py

litedesk/litedesk-webserver-provision

1576b9d3e5e2e64d1136d276767c2710cfb1938f

[ "Apache-2.0" ]

null

src/tenants/management/commands/update_lastseen.py

litedesk/litedesk-webserver-provision

1576b9d3e5e2e64d1136d276767c2710cfb1938f

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs) # # 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...

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1773d93609383bcbb4fab691a8762940ea340e8e

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py

Python

pset6/dna/dna.py

vipsum/cs50

b3aa05ae470faea657343644a4073814825ceb83

[ "MIT" ]

null

pset6/dna/dna.py

vipsum/cs50

b3aa05ae470faea657343644a4073814825ceb83

[ "MIT" ]

null

pset6/dna/dna.py

vipsum/cs50

b3aa05ae470faea657343644a4073814825ceb83

[ "MIT" ]

null

import csv import sys # error checking if len(sys.argv) != 3: print("ERROR. Usage: Usage: python dna.py data.csv sequence.txt") sys.exit(1) #opening csv file and sequence texts csvFile = open(sys.argv[1]) DNAsequence = open(sys.argv[2]).read() # reading csv file onto a dictionary csvReader = csv.DictReader(csvF...

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null

0

null

0

1

0

1777e634f97948573907da1787803d38c27f6c8f

311

py

Python

script_utils/read_file.py

img-caption-mania/img_caption_dl_textAnalytic

444385d928687673b5286ebb0a9b598de019916f

[ "Apache-2.0" ]

null

script_utils/read_file.py

img-caption-mania/img_caption_dl_textAnalytic

444385d928687673b5286ebb0a9b598de019916f

[ "Apache-2.0" ]

null

script_utils/read_file.py

img-caption-mania/img_caption_dl_textAnalytic

444385d928687673b5286ebb0a9b598de019916f

[ "Apache-2.0" ]

2

2020-06-30T20:53:09.000Z

2021-09-30T10:29:45.000Z

import os, sys, re, natsort ls = [this for this in os.listdir(os.getcwd() + '/' + str(sys.argv[1]))] # ls = ls.sort(key=lambda f: int(re.sub('\D', '', f))) ls = natsort.natsorted(ls,reverse=False) with open(os.getcwd() + '/' + str(sys.argv[2]), 'w') as f: for item in ls: f.write("%s\n" % item)

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null

0

null

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1

0

177931d9295fee1cf93668dbfec3ca5bb4baf4e5

1,281

py

Python

utils.py

sc2h6o/DT

d1cde39c778d827efeb89c1b1d4d54d13214b51f

[ "MIT" ]

null

utils.py

sc2h6o/DT

d1cde39c778d827efeb89c1b1d4d54d13214b51f

[ "MIT" ]

null

utils.py

sc2h6o/DT

d1cde39c778d827efeb89c1b1d4d54d13214b51f

[ "MIT" ]

null

import numpy as np import cv2 import random def int_(x): if x==int(x): return int(x) else: return int(x+1) def rdint(x): return int(round(x)) def IoU(box1, box2): x1 = max(box1[0], box2[0]) y1 = max(box1[1], box2[1]) x2 = min(box1[0]+box1[2], box2[0]+box2[2]) y2 = min(box1[1]+box1[3], box2[1]+box2[3]) i...

20.333333

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0.021398

0.028531

0.356633

0.333809

0.28388

0

0.084325

0.213115

1,281

62

73

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0

0.296296

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0.12963

false

0

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0.351852

0

null

0

null

0

1

0

177b2b2fc328442186cfa83ce8437c5a552fcc24

1,651

py

Python

models/conv_lstm.py

i1idan/schizophrenia-diagnosis-eeg-signals

50e51c16c6df0a61b5e62223c404039d659c9d48

[ "MIT" ]

5

2021-12-24T18:20:16.000Z

2022-01-27T19:45:28.000Z

models/conv_lstm.py

i1idan/schizophrenia-diagnosis-eeg-signals

50e51c16c6df0a61b5e62223c404039d659c9d48

[ "MIT" ]

null

models/conv_lstm.py

i1idan/schizophrenia-diagnosis-eeg-signals

50e51c16c6df0a61b5e62223c404039d659c9d48

[ "MIT" ]

1

2021-12-24T18:19:23.000Z

from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense from tensorflow.keras.layers import Flatten from tensorflow.keras.layers import Dropout from tensorflow.keras.layers import LSTM, Conv1D, GRU from tensorflow.keras.layers import TimeDistributed from tensorflow.keras.layers import M...

39.309524

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1,651

5.352332

0.310881

0.085189

0.147144

0.145208

0.575992

0.301065

0.260407

0

0.02476

0.241672

1,651

41

90

40.268293

0.800319

0

0.114286

0

0.037553

0

1

0.057143

false

0

0.228571

0

0.342857

0

null

0

null

0

1

0

177e8c1d5af7739ef2b33bcff39f04682a94721f

2,368

py

Python

Python/CoviDetect/covid_detect/sub_app/views.py

Idhant-6/HAcktoberfest-2021-With-Python

ae6f8b5aadeca5a7329fe8e8d7de3f5069e687a1

[ "MIT" ]

14

2021-10-01T16:53:27.000Z

2021-10-17T13:15:44.000Z

Python/CoviDetect/covid_detect/sub_app/views.py

Idhant-6/HAcktoberfest-2021-With-Python

ae6f8b5aadeca5a7329fe8e8d7de3f5069e687a1

[ "MIT" ]

37

2021-10-01T17:14:52.000Z

2021-10-21T17:26:14.000Z

Python/CoviDetect/covid_detect/sub_app/views.py

Idhant-6/Hacktoberfest-2021

ae6f8b5aadeca5a7329fe8e8d7de3f5069e687a1

[ "MIT" ]

38

2021-10-01T16:59:16.000Z

2021-10-30T16:05:31.000Z

from django.http import request from django.shortcuts import render,HttpResponse import cv2 import numpy as np import base64 import joblib from numpy.core.defchararray import join import sklearn import pywt def w2d(img, mode='haar', level=1): imArray = img #Datatype conversions #convert to grayscale ...

27.858824

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84

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false

0

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0.033898

0

null

0

null

0

1

0

17801b23c209f52e4859df74018bcf887604f24c

5,060

py

Python

tube_dl/formats.py

hahv/tube_dl

4641c48d74c1881ddd6785784a3884bdea2ca674

[ "MIT" ]

17

2020-12-04T16:37:22.000Z

2022-02-26T10:19:02.000Z

tube_dl/formats.py

hahv/tube_dl

4641c48d74c1881ddd6785784a3884bdea2ca674

[ "MIT" ]

11

2020-12-13T01:41:33.000Z

2022-02-19T12:58:50.000Z

tube_dl/formats.py

hahv/tube_dl

4641c48d74c1881ddd6785784a3884bdea2ca674

[ "MIT" ]

10

2020-12-26T04:47:18.000Z

2022-02-10T09:49:19.000Z

import string import os import requests from tube_dl.extras import Output headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'referer': 'https: //youtube.com'} class Format: def __init__(self, category, description, t...

37.481481

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0.562055

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5,060

4.470113

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0.054933

0.043007

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0

0.012261

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0.009091

0

null

0

null

0

1

0

17810377c3837f4b8580799808c6d976e9b3f30b

619

py

Python

hopperpw/hopperpw/urls.py

teddywest32/hopper.pw

ff80ded3d34a5f33a5770d5e69405a66ff649a62

[ "BSD-3-Clause" ]

81

2015-01-03T20:35:52.000Z

2021-01-05T22:33:15.000Z

hopperpw/hopperpw/urls.py

teddywest32/hopper.pw

ff80ded3d34a5f33a5770d5e69405a66ff649a62

[ "BSD-3-Clause" ]

9

2015-02-04T15:14:12.000Z

2021-09-19T22:49:27.000Z

hopperpw/hopperpw/urls.py

teddywest32/hopper.pw

ff80ded3d34a5f33a5770d5e69405a66ff649a62

[ "BSD-3-Clause" ]

34

2015-01-01T06:19:23.000Z

2021-11-23T11:35:26.000Z

# coding=utf-8 from django.conf import settings from django.conf.urls import patterns, include, url from django.conf.urls.static import static from django.contrib import admin admin.autodiscover() urlpatterns = patterns( '', url(r'^allauth/', include('allauth.urls')), url(r'^accounts/', include('accounts....

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0

0.294118

0

null

0

null

0

1

0

178374b80192e344de3181d10c48f542eee0cc58

1,828

py

Python

export_name_list.py

brandyn-gilbert/DAT-281-CAPSTONE

d86dd62eab164e6845dee63954cacc0324a449bc

[ "MIT" ]

null

export_name_list.py

brandyn-gilbert/DAT-281-CAPSTONE

d86dd62eab164e6845dee63954cacc0324a449bc

[ "MIT" ]

null

export_name_list.py

brandyn-gilbert/DAT-281-CAPSTONE

d86dd62eab164e6845dee63954cacc0324a449bc

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Apr 12, 2021 Developed for UIF to more easily handle the growing number of alumni they have, and to track interactions with said alumni. Final Project for CCAC DAT-281 @author: BKG """ import os import sqlite3 from sqlite3 import Error import pandas as pd def main(locat...

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0.297046

1,828

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null

0

null

0

1

0

178891f94229c492f6f9626a23fde3974ba0c8f5

2,071

py

Python

old/Graph.py

csdevto/tradingbot

b024236f0d2801380e7f86aa1660c44060728eb1

[ "MIT" ]

null

old/Graph.py

csdevto/tradingbot

b024236f0d2801380e7f86aa1660c44060728eb1

[ "MIT" ]

null

old/Graph.py

csdevto/tradingbot

b024236f0d2801380e7f86aa1660c44060728eb1

[ "MIT" ]

null

import numpy as np import pandas as pd import matplotlib.pyplot as plt #Data Source import yfinance as yf import time, datetime, math from datetime import datetime import sqlite3 #Interval required 5 minutes con = sqlite3.connect("DB/stocks.db") #con.row_factory = sqlite3.Row stock = 'UBER' data = pd.read_sql_query("...

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0.104478

0

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0.064516

0

null

0

null

0

1

0

178b8f7b8817c326e1125ab56cb91128e6dfcebb

6,044

py

Python

stable_baselines_model_based_rl/sampler/gym_sampler.py

micheltokic/stable_baselines_model_based_rl

75bac906aeba69072878ceb15d9be459b1f436c3

[ "Apache-2.0" ]

1

2022-01-08T17:08:13.000Z

stable_baselines_model_based_rl/sampler/gym_sampler.py

micheltokic/stable_baselines_model_based_rl

75bac906aeba69072878ceb15d9be459b1f436c3

[ "Apache-2.0" ]

5

2021-09-15T18:14:48.000Z

2021-09-19T16:17:51.000Z

stable_baselines_model_based_rl/sampler/gym_sampler.py

micheltokic/stable_baselines_model_based_rl

75bac906aeba69072878ceb15d9be459b1f436c3

[ "Apache-2.0" ]

null

import csv import datetime import os import gym from gym.spaces import space from gym.spaces.box import Box from gym.spaces.discrete import Discrete from gym.spaces.multi_discrete import MultiDiscrete from definitions import ROOT_DIR from stable_baselines_model_based_rl.utils.configuration import Configuration from s...

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null

0

null

0

1

0

179047197bf91d3e14c6131b31ca97cf1748cbbb

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py

Python

palaverapi/decorators.py

cocodelabs/api.palaverapp.com

cb517a2cd1dea12fadf4f72147fecf0105cbd717

[ "BSD-3-Clause" ]

3

2016-07-03T21:19:18.000Z

2021-07-10T18:32:16.000Z

palaverapi/decorators.py

cocodelabs/api.palaverapp.com

cb517a2cd1dea12fadf4f72147fecf0105cbd717

[ "BSD-3-Clause" ]

66

2015-03-27T21:52:11.000Z

2021-09-06T17:56:59.000Z

palaverapi/decorators.py

cocodelabs/api.palaverapp.com

cb517a2cd1dea12fadf4f72147fecf0105cbd717

[ "BSD-3-Clause" ]

1

2021-07-28T19:45:31.000Z

import json from functools import wraps from typing import Callable from urllib.parse import parse_qsl from rivr.http import Request, Response from palaverapi.responses import ProblemResponse def requires_body(func: Callable[..., Response]): @wraps(func) def wrapper(self, request: Request, *args, **kwargs) ...

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py

Python

cli/medperf/utils.py

johnugeorge/medperf

5bc3f643064df14e9476bd4d4c1a4c0cce5337d5

[ "Apache-2.0" ]

1

2021-09-24T18:09:53.000Z

cli/medperf/utils.py

johnugeorge/medperf

5bc3f643064df14e9476bd4d4c1a4c0cce5337d5

[ "Apache-2.0" ]

2

2021-09-27T16:14:04.000Z

2021-11-03T14:24:54.000Z

cli/medperf/utils.py

johnugeorge/medperf

5bc3f643064df14e9476bd4d4c1a4c0cce5337d5

[ "Apache-2.0" ]

null

from __future__ import annotations from pexpect import spawn import logging from typing import List, Tuple from datetime import datetime import hashlib import os from shutil import rmtree import tarfile import yaml from pathlib import Path from colorama import Fore, Style import re import medperf.config as config from...

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17935aaebc6842fbcfb1d8f850ae573d75c68bf6

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py

Python

analytics_pipeline-master/log_generator.py

danielvdao/etl_ideas

18062c92e6441eae5b316e9cc8f0f2d085636a42

[ "MIT" ]

null

analytics_pipeline-master/log_generator.py

danielvdao/etl_ideas

18062c92e6441eae5b316e9cc8f0f2d085636a42

[ "MIT" ]

1

2017-10-17T02:58:33.000Z

analytics_pipeline-master/log_generator.py

danielvdao/etl_ideas

18062c92e6441eae5b316e9cc8f0f2d085636a42

[ "MIT" ]

null

from faker import Faker from datetime import datetime import random import time LINE = """\ {remote_addr} - - [{time_local} +0000] "{request_type} {request_path} HTTP/1.1" {status} {body_bytes_sent} "{http_referer}" "{http_user_agent}"\ """ LOG_FILE_A = "log_a.txt" LOG_FILE_B = "log_b.txt" LOG_MAX = 100 def generate...

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17957d92994d6b6b24057eeb1c8fb73bd1d0a786

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py

Python

scripts/visualization/style.py

bo1929/basty

3ef84578e0154509346fdc2c0c56261448d78276

[ "MIT" ]

5

2021-12-10T17:43:52.000Z

2022-03-01T22:19:36.000Z

scripts/visualization/style.py

bo1929/basty

3ef84578e0154509346fdc2c0c56261448d78276

[ "MIT" ]

null

scripts/visualization/style.py

bo1929/basty

3ef84578e0154509346fdc2c0c56261448d78276

[ "MIT" ]

null

MAX_LIMIT = 9999 class StyleEmbedding: colorscheme = "tableau20" filled = True sizeDefault = 7 sizeMin = 5 sizeMax = 25 opacityDefault = 0.05 opacityMin = 0.05 opacityMax = 0.5 tickMinStep = 5 def get_embedding_style(): return { "config": { ...

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179a63e2713ef678248c5a0480244a33d8023a8f

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py

Python

scripts/parse_aggregated_responses.py

cagnolone/openmic-2018

154dc425a4fac7ba45fb143ef75fa21189fc4d1c

[ "MIT" ]

56

2018-08-27T15:48:37.000Z

2021-12-25T11:01:23.000Z

scripts/parse_aggregated_responses.py

cagnolone/openmic-2018

154dc425a4fac7ba45fb143ef75fa21189fc4d1c

[ "MIT" ]

37

2018-08-16T17:00:21.000Z

2022-02-09T23:55:36.000Z

scripts/parse_aggregated_responses.py

cagnolone/openmic-2018

154dc425a4fac7ba45fb143ef75fa21189fc4d1c

[ "MIT" ]

7

2018-10-09T14:48:01.000Z

2020-06-06T12:03:15.000Z

#!/usr/bin/env python # coding: utf8 '''Script to parse aggregated annotation responses into a CSV file of labels. Example ------- $ ./scripts/parse_aggregated_responses.py \ "path/to/dir/*.csv" \ openmic-2018-aggregated-labels.csv ''' from __future__ import print_function import argparse import glob import ...

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179adee8737327e1461212148f441c448d335da8

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py

Python

tests/test_looseserver/client/test_abstract_client.py

KillAChicken/loose-server

082402f1fec94faea20343142b0c306dc5f86026

[ "MIT" ]

3

2019-04-21T13:10:34.000Z

2019-10-08T05:20:04.000Z

tests/test_looseserver/client/test_abstract_client.py

KillAChicken/loose-server

082402f1fec94faea20343142b0c306dc5f86026

[ "MIT" ]

null

tests/test_looseserver/client/test_abstract_client.py

KillAChicken/loose-server

082402f1fec94faea20343142b0c306dc5f86026

[ "MIT" ]

null

"""Test cases for abstract looseserver client.""" import uuid from urllib.parse import urljoin from looseserver.client.abstract import AbstractClient def test_create_rule(client_rule_factory, client_response_factory, registered_rule): """Check request data that client uses to create a rule. 1. Create a sub...

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179ae6f54ba09f051bfa483edda5d5eea6d22097

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py

Python

mlops-template-gitlab/lambda_functions/lambda-seedcode-checkin-gitlab/tests/functional/api/test_merge_requests.py

giuseppe-zappia/sagemaker-custom-project-templates

a160cf250dcabf8a9a14682e28d0a39df18e3a5c

[ "MIT-0" ]

22

2021-08-24T13:43:55.000Z

2022-03-25T06:18:19.000Z

mlops-template-gitlab/lambda_functions/lambda-seedcode-checkin-gitlab/tests/functional/api/test_merge_requests.py

giuseppe-zappia/sagemaker-custom-project-templates

a160cf250dcabf8a9a14682e28d0a39df18e3a5c

[ "MIT-0" ]

3

2021-09-09T00:40:56.000Z

2022-01-26T10:53:30.000Z

mlops-template-gitlab/lambda_functions/lambda-seedcode-checkin-gitlab/tests/functional/api/test_merge_requests.py

giuseppe-zappia/sagemaker-custom-project-templates

a160cf250dcabf8a9a14682e28d0a39df18e3a5c

[ "MIT-0" ]

15

2021-08-19T23:53:24.000Z

2022-03-28T22:26:04.000Z

import time import pytest import gitlab import gitlab.v4.objects def test_merge_requests(project): project.files.create( { "file_path": "README.rst", "branch": "master", "content": "Initial content", "commit_message": "Initial commit", } ) ...

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py

Python

Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/ndarray_shape_manipulation.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

1

2022-01-08T12:30:44.000Z

Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/ndarray_shape_manipulation.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/ndarray_shape_manipulation.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

1

2021-04-26T22:41:56.000Z

import numpy as np nd1 = np.array([[1, 2], [3, 4]]) # reshape nd1.reshape(4) nd1.reshape(2, 2) nd1.reshape((2, 2)) nd1.reshape((2, 2), order="C") nd1.reshape(4, order="C") # resize nd1.resize() nd1.resize(4) nd1.resize(2, 2) nd1.resize((2, 2)) nd1.resize((2, 2), refcheck=True) nd1.resize(4, refc...

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179d9ebc77da5b1737344a934257dda6f2f13fc3

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py

Python

survae/nn/layers/autoregressive/utils.py

alisiahkoohi/survae_flows

e1747b05524c7ab540a211ed360ab3e67bc3e96d

[ "MIT" ]

262

2020-07-05T20:57:44.000Z

2022-03-28T02:24:43.000Z

survae/nn/layers/autoregressive/utils.py

alisiahkoohi/survae_flows

e1747b05524c7ab540a211ed360ab3e67bc3e96d

[ "MIT" ]

17

2020-08-15T05:43:34.000Z

2022-01-31T12:24:21.000Z

survae/nn/layers/autoregressive/utils.py

alisiahkoohi/survae_flows

e1747b05524c7ab540a211ed360ab3e67bc3e96d

[ "MIT" ]

35

2020-08-24T06:55:37.000Z

2022-02-11T05:17:58.000Z

import torch def mask_conv2d_spatial(mask_type, height, width): """ Creates a mask for Conv2d such that it becomes autoregressive in the spatial dimensions. Input: mask_type: str Either 'A' or 'B'. 'A' for first layer of network, 'B' for all others. height: int ...

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py

Python

powerberry-app/src/services/config.py

Steckdoose4711/powerberry

15c722ff66f0db5c00ddfb71ccc2c75d69b78d39

[ "MIT" ]

null

powerberry-app/src/services/config.py

Steckdoose4711/powerberry

15c722ff66f0db5c00ddfb71ccc2c75d69b78d39

[ "MIT" ]

20

2022-03-11T19:44:31.000Z

2022-03-21T19:13:46.000Z

powerberry-app/src/services/config.py

Steckdoose4711/powerberry

15c722ff66f0db5c00ddfb71ccc2c75d69b78d39

[ "MIT" ]

null

import json import os import pathlib import sys from loguru import logger as log class Config: """Retrieves configuration from environment variables or files or fails fast otherwise""" def __init__(self): self.keys = {} # read configuration file first self.from_env("CONFIG_PATH", ca...

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0

17a2dcce962acf6079243f734b05c4cedd810650

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py

Python

test/parser/test_tail_parser.py

BigDataBoutique/bogi

cc247df8d18ef00ebba7986a57fefbb2ad82a1e6

[ "Apache-2.0" ]

null

test/parser/test_tail_parser.py

BigDataBoutique/bogi

cc247df8d18ef00ebba7986a57fefbb2ad82a1e6

[ "Apache-2.0" ]

null

test/parser/test_tail_parser.py

BigDataBoutique/bogi

cc247df8d18ef00ebba7986a57fefbb2ad82a1e6

[ "Apache-2.0" ]

null

import unittest from test.utils import dedent from bogi.parser.tail import TailParser from bogi.parser.tail_transformer import MessageBody, ContentLine, InputFileRef, MultipartField, Header, ResponseHandler, ResponseReference class TailParserTests(unittest.TestCase): def test_content_lines(self): body = ...

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py

Python

openbox-tmux-pipe-menu.py

pawel-slowik/openbox-tmux-pipe-menu

cda64994a893c76ba1af1eb1de9fe72d1ec79c04

[ "MIT" ]

null

openbox-tmux-pipe-menu.py

pawel-slowik/openbox-tmux-pipe-menu

cda64994a893c76ba1af1eb1de9fe72d1ec79c04

[ "MIT" ]

null

openbox-tmux-pipe-menu.py

pawel-slowik/openbox-tmux-pipe-menu

cda64994a893c76ba1af1eb1de9fe72d1ec79c04

[ "MIT" ]

null

#!/usr/bin/env python3 import subprocess import re import xml.etree.ElementTree as et import datetime as dt import pipes import os import configparser import sys from typing import Iterable, Optional, Dict class TmuxError(Exception): pass class TmuxCommandError(TmuxError): pass class TmuxParseError(TmuxE...

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