xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

837126c7ed58a646eeb7ff8f2ca3a90bb536b289

3,486

py

Python

rootfs/guest/daemon.py

ucsdsysnet/faasnap

6d47f5a808d34d37213c57e42a302b351e904614

[ "MIT" ]

null

rootfs/guest/daemon.py

ucsdsysnet/faasnap

6d47f5a808d34d37213c57e42a302b351e904614

[ "MIT" ]

null

rootfs/guest/daemon.py

ucsdsysnet/faasnap

6d47f5a808d34d37213c57e42a302b351e904614

[ "MIT" ]

null

import time, sys, mmap import subprocess from flask import Flask, request app = Flask(__name__) import fcntl, time, struct import redis from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor # executor = ProcessPoolExecutor(max_workers=2) executor = ThreadPoolExecutor(max_workers=2) MEMINFO = False EN...

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null

0

null

0

1

0

837207e8e61e09370cb7047d5c02c7ae05cae9d2

2,729

py

Python

mil_text/rank_plot_all.py

AntonValk/BagGraph-Graph-MIL

1447b52b32995cf6c71e731dd1261104cd66ced0

[ "MIT" ]

8

2021-12-10T19:21:03.000Z

2022-03-24T18:53:02.000Z

mil_text/rank_plot_all.py

AntonValk/BagGraph-Graph-MIL

1447b52b32995cf6c71e731dd1261104cd66ced0

[ "MIT" ]

null

mil_text/rank_plot_all.py

AntonValk/BagGraph-Graph-MIL

1447b52b32995cf6c71e731dd1261104cd66ced0

[ "MIT" ]

null

import csv import numpy as np import seaborn as sns import pandas as pd import matplotlib.pyplot as plt datasets = ['alt.atheism', 'comp.graphics', 'comp.os.ms-windows.misc', 'comp.sys.ibm.pc.hardware', 'comp.sys.mac.hardware', 'comp.windows.x', 'misc.forsale', 'rec.autos', 'rec.motorcycles', 'rec.s...

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2,729

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0.139978

2,729

63

162

43.31746

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0.204545

0

null

0

null

0

1

0

8372488d6e57ae388189d3f6803e33eed08b9007

6,434

py

Python

rh_logger/backends/backend_datadog_logging.py

tomuram/rh_logger

dbd1d918ac163994694da82c7e90758cc29bf0e5

[ "MIT" ]

1

2020-05-08T15:22:46.000Z

rh_logger/backends/backend_datadog_logging.py

HoraceKem/rh_logger

7217ce54f1578e7324947ad33381f3c2d1f07e6b

[ "MIT" ]

1

2016-05-13T17:35:02.000Z

rh_logger/backends/backend_datadog_logging.py

HoraceKem/rh_logger

7217ce54f1578e7324947ad33381f3c2d1f07e6b

[ "MIT" ]

3

2016-11-28T05:44:42.000Z

2021-08-10T18:28:56.000Z

'''logger.py - the Datadog logger''' import collections import datadog import datetime import os import logging import rh_logger import rh_logger.api import sys import traceback class DatadogLogger(rh_logger.api.Logger): '''Logger for datadog''' def __init__(self, name, config): self.name = name ...

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0.157025

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null

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null

0

1

0

8372ad2c895756d8ba6acd08356e8ae7366b2454

11,715

py

Python

script_preprocess/building_aggregated_data.py

FrappucinoGithub/school_meal_forecast_regressions

23db636e7592b39cf100d7e7c707a411779b79bc

[ "MIT" ]

2

2021-05-06T19:02:44.000Z

2021-05-10T09:04:36.000Z

script_preprocess/building_aggregated_data.py

FrappucinoGithub/school_meal_forecast_regressions

23db636e7592b39cf100d7e7c707a411779b79bc

[ "MIT" ]

1

2021-03-15T11:16:54.000Z

script_preprocess/building_aggregated_data.py

FrappucinoGithub/school_meal_forecast_regressions

23db636e7592b39cf100d7e7c707a411779b79bc

[ "MIT" ]

1

2021-02-24T13:49:46.000Z

import os import pandas as pd import spacy from sklearn.feature_extraction.text import CountVectorizer import datetime import numpy as np from processing import get_annee_scolaire if __name__ == "__main__": #print("files", os.listdir("data_processed")) ########################## # Chargement des donné...

41.39576

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null

0

null

0

1

0

837393fa0b035c535d77757051efaef98b194a88

1,724

py

Python

first_lab.py

ShevchenyaIlya/Chess_knight_move

b7339edbf9423d028f6eb852e0c1c46869a6c0ff

[ "Apache-2.0" ]

null

first_lab.py

ShevchenyaIlya/Chess_knight_move

b7339edbf9423d028f6eb852e0c1c46869a6c0ff

[ "Apache-2.0" ]

null

first_lab.py

ShevchenyaIlya/Chess_knight_move

b7339edbf9423d028f6eb852e0c1c46869a6c0ff

[ "Apache-2.0" ]

null

import pygame from laboratory.base import ChessBoard, ChessHorse, Grid import os os.environ["SDL_VIDEO_WINDOW_POS"] = "400, 100" surface = pygame.display.set_mode((600, 600)) pygame.display.set_caption("Chess knight move") pygame.init() grid = ChessBoard() horse = ChessHorse() cells = Grid() def stand_color(): ...

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0.12

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null

0

null

0

1

0

8375a587533b43ad16c1fde976759a83788c8ad5

1,925

py

Python

models/faster_rcnn_fpn.py

martin-marek/parking-space-occupancy

5514adcb435e239f36b19f4e868678ae0a65f5b8

[ "MIT" ]

6

2021-07-29T04:15:15.000Z

2022-01-12T07:18:14.000Z

models/faster_rcnn_fpn.py

martin-marek/parking-space-occupancy

5514adcb435e239f36b19f4e868678ae0a65f5b8

[ "MIT" ]

null

models/faster_rcnn_fpn.py

martin-marek/parking-space-occupancy

5514adcb435e239f36b19f4e868678ae0a65f5b8

[ "MIT" ]

4

2021-07-27T10:04:33.000Z

2021-11-27T20:28:35.000Z

from torch import nn from torchvision.models.detection.backbone_utils import resnet_fpn_backbone from torchvision.models.utils import load_state_dict_from_url from .utils import pooling from .utils.class_head import ClassificationHead class FasterRCNN_FPN(nn.Module): """ A Faster R-CNN FPN inspired parking l...

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1,925

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0.026963

0.065028

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0.375

0

null

0

null

0

1

0

837739a005a237684a780c9335e0ae3dc01c7873

730

py

Python

configProvider.py

misc77/dsegenerator

3fbaed79ff2809de5b7efb3ac86acf8ffb45afe4

[ "MIT" ]

null

configProvider.py

misc77/dsegenerator

3fbaed79ff2809de5b7efb3ac86acf8ffb45afe4

[ "MIT" ]

null

configProvider.py

misc77/dsegenerator

3fbaed79ff2809de5b7efb3ac86acf8ffb45afe4

[ "MIT" ]

null

from resources import Resources import configparser def getConfigEntry(group, item): entry = None if group != None and item != None: config = configparser.ConfigParser() try: config.read(Resources.getConfigFile()) except(FileNotFoundError): print("ERROR: File '"...

29.2

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0.272603

730

25

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null

0

null

0

1

0

8378ea628ccc21371175ad9061b5e8ae8ef0a59b

3,041

py

Python

H5_News_Tracker/gui/ticker_window.py

Mouse-Diplodicus/H5-NewsTracker

a771105463db6757171ea28e847208960c7ac598

[ "BSD-2-Clause" ]

null

H5_News_Tracker/gui/ticker_window.py

Mouse-Diplodicus/H5-NewsTracker

a771105463db6757171ea28e847208960c7ac598

[ "BSD-2-Clause" ]

20

2020-02-27T01:39:28.000Z

2021-12-13T20:39:17.000Z

H5_News_Tracker/gui/ticker_window.py

Mouse-Diplodicus/H5-NewsTracker

a771105463db6757171ea28e847208960c7ac598

[ "BSD-2-Clause" ]

null

""" Program displays a window with text using Tkinter when run. """ import tkinter import webbrowser from tkinter import font from tkinter import ttk class TickerWindow(tkinter.Frame): """Main Object for creating and running the news ticker gui""" max_label_width = 80 font_size = 12 updating_feed = [...

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0.109091

0

null

0

null

0

1

0

837a6c35581467319f1075c05fa1224fd922d268

3,562

py

Python

Yu/Web.py

Hiroshiba/KotohiraYu

1ab5a5376e01aae5c730ae163298e1c34980b586

[ "MIT" ]

null

Yu/Web.py

Hiroshiba/KotohiraYu

1ab5a5376e01aae5c730ae163298e1c34980b586

[ "MIT" ]

1

2019-05-18T13:16:25.000Z

Yu/Web.py

Hiroshiba/KotohiraYu

1ab5a5376e01aae5c730ae163298e1c34980b586

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os import configparser import glob import sqlite3 import traceback import json from bottle import route, run, auth_basic, abort, response from sqlite3 import OperationalError config = configparser.ConfigParser() config.read('config/config.ini') def VERIFY(username, password): retur...

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0.053678

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0.019802

0

null

0

null

0

1

0

837ad353a450f945fc5a6b024a1362ed9689c173

3,982

py

Python

src/sequencemodel_09.py

PatrikValkovic/neural-networks-step-by-step

86f5f98de1dbeb3a69ba101f06e303dbaabe6b8e

[ "MIT" ]

1

2021-02-04T09:01:44.000Z

src/sequencemodel_09.py

alexdevero/neural-networks-step-by-step

55e12e82c78f9be2d942fc1bff252b92fb61c1dd

[ "MIT" ]

null

src/sequencemodel_09.py

alexdevero/neural-networks-step-by-step

55e12e82c78f9be2d942fc1bff252b92fb61c1dd

[ "MIT" ]

2

2021-01-30T15:17:50.000Z

2021-02-04T09:01:45.000Z

import numpy as np from progressbar import progressbar class SequenceModel: def __init__(self, layers, loss, metrices = [], random_seed = None): self._rand = np.random.RandomState(random_seed); self.loss = loss self.metrices = metrices self.layers = layers def zero_grad...

45.770115

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0.15

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null

0

null

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1

0

837cbe3de90b812a9c90cd64972dc52fe2924f87

8,989

py

Python

tests/components/multimatic/__init__.py

thomasgermain/home-assistant

69a8ba678e0276bc1bfde0f3d9e9d3682209f962

[ "Apache-2.0" ]

7

2019-08-15T13:36:58.000Z

2020-03-18T10:46:29.000Z

tests/components/multimatic/__init__.py

thomasgermain/home-assistant

69a8ba678e0276bc1bfde0f3d9e9d3682209f962

[ "Apache-2.0" ]

73

2020-10-01T06:39:39.000Z

2022-03-31T06:16:15.000Z

tests/components/multimatic/__init__.py

thomasgermain/home-assistant

69a8ba678e0276bc1bfde0f3d9e9d3682209f962

[ "Apache-2.0" ]

4

2019-10-26T14:25:13.000Z

2020-11-10T11:00:18.000Z

"""The tests for multimatic integration.""" from __future__ import annotations import datetime from typing import Any from unittest.mock import AsyncMock, patch from pymultimatic.model import ( ActiveFunction, BoilerStatus, Circulation, Device, Dhw, EmfReport, Error, FacilityDetail, ...

26.206997

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837cd4561ed86c61a564513e1e29e4b4eaead664

4,877

py

Python

test/e2e/test_200_header_invalid.py

elukey/mod_h2

3418fc31b8ffe9fe477899d60ccfdecdfac1df34

[ "Apache-2.0" ]

null

test/e2e/test_200_header_invalid.py

elukey/mod_h2

3418fc31b8ffe9fe477899d60ccfdecdfac1df34

[ "Apache-2.0" ]

null

test/e2e/test_200_header_invalid.py

elukey/mod_h2

3418fc31b8ffe9fe477899d60ccfdecdfac1df34

[ "Apache-2.0" ]

null

# # mod-h2 test suite # check handling of invalid chars in headers # import copy import os import re import sys import time import pytest from datetime import datetime from TestEnv import TestEnv from TestHttpdConf import HttpdConf def setup_module(module): print("setup_module: %s" % module.__name__) TestEnv...

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837d850bff1c24037cf6a37770c38618903819c0

7,529

py

Python

controller/controller.py

angelocarbone/MoDelS

5bfee8d0b6e719c1d2445acf4e332597427ac906

[ "MIT" ]

1

2021-12-02T07:29:29.000Z

controller/controller.py

angelocarbone/MoDelS

5bfee8d0b6e719c1d2445acf4e332597427ac906

[ "MIT" ]

null

controller/controller.py

angelocarbone/MoDelS

5bfee8d0b6e719c1d2445acf4e332597427ac906

[ "MIT" ]

null

from scenarios import helper from scenarios.builder import Builder from model.enumerations import e_ExperienceFactor, e_MentalOrEmotionalFactor, e_PhyOrPhyFactor, e_EntityType, e_Relation, e_CausalFactorType from model.knowledge_base import kb from model.entities import Entity, CausalFactor from model.utils import Boun...

37.272277

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0

null

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1

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837e4da85868086f6aef55e405fd04f2686a56f3

1,567

py

Python

stan/data/data_lex.py

chappers/Stan

61c189ab12ea50214390804cff5694ac51f8df35

[ "MIT" ]

1

2015-01-06T11:10:24.000Z

stan/data/data_lex.py

chappers/Stan

61c189ab12ea50214390804cff5694ac51f8df35

[ "MIT" ]

null

stan/data/data_lex.py

chappers/Stan

61c189ab12ea50214390804cff5694ac51f8df35

[ "MIT" ]

null

""" The :mod:`stan.data_lex` module is the lexer for SAS-like language. """ from pyparsing import * from stan.data.data_expr import EXPR_, ID_, DATA, SET, RENAME, RUN, DROP, KEEP, SEMI_, LOGICAL_ # set up logic dataStepStmt = Forward() # data/set inline options rename_stmt = (OneOrMore(Group(ID_ + Suppress("=") ...

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null

0

null

0

1

0

837e63fb36e90c2f7dc83ee4de463a8b38b3fbca

2,334

py

Python

setup.py

JayDwayne/Neopo

964e1a13ed016b5a74ccb33b7384a0f783100cd7

[ "MIT" ]

null

setup.py

JayDwayne/Neopo

964e1a13ed016b5a74ccb33b7384a0f783100cd7

[ "MIT" ]

null

setup.py

JayDwayne/Neopo

964e1a13ed016b5a74ccb33b7384a0f783100cd7

[ "MIT" ]

null

import os from platform import system from setuptools import setup from subprocess import run, PIPE, CalledProcessError running_on_windows = system() == "Windows" running_in_docker = os.path.isfile("/.dockerenv") # Consistent version as AUR try: count = run(["git", "rev-list", "--count", "HEAD"], stdo...

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2,334

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null

0

null

0

1

0

8383163f22959bd98885d5ed979d31561a7823ce

1,389

py

Python

foo/pictureR/wordsTemplate.py

MangetsuC/arkHelper

02705294f1bc3ecf926e0a9c62c59026494f62f8

[ "MIT" ]

147

2020-05-06T10:36:13.000Z

2022-03-17T13:03:16.000Z

foo/pictureR/wordsTemplate.py

MangetsuC/arkHelper

02705294f1bc3ecf926e0a9c62c59026494f62f8

[ "MIT" ]

34

2020-07-21T01:20:10.000Z

2022-01-30T06:38:11.000Z

foo/pictureR/wordsTemplate.py

MangetsuC/arkHelper

02705294f1bc3ecf926e0a9c62c59026494f62f8

[ "MIT" ]

17

2020-12-10T14:42:34.000Z

2022-02-26T15:23:58.000Z

from PIL import Image, ImageDraw, ImageFont from numpy import asarray from cv2 import cvtColor, COLOR_RGB2BGR, imshow, waitKey from os import getcwd def getFontSize_name(resolution): x = resolution[0] if x <= 1024: return (16, (1024,576)) elif x <= 1280: return (21, (1280,720)) elif x <...

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null

0

null

0

1

0

8383af1ee3c86c7a8396f853fcb82a399a1772cb

1,185

py

Python

bin/concat_msa.py

HadrienG/arbetsprov

ee4b887a1a8ac43c9c8cbb016480fde14cf0e48f

[ "MIT" ]

5

2021-10-11T09:30:52.000Z

2022-01-03T07:03:17.000Z

bin/concat_msa.py

HadrienG/arbetsprov

ee4b887a1a8ac43c9c8cbb016480fde14cf0e48f

[ "MIT" ]

null

bin/concat_msa.py

HadrienG/arbetsprov

ee4b887a1a8ac43c9c8cbb016480fde14cf0e48f

[ "MIT" ]

1

2022-01-03T07:03:51.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import argparse from Bio import AlignIO def concat_msa(msas, output): """concatenate msas together""" alignments = [] for msa in msas: align = AlignIO.read(msa, "fasta") # shorten id so the concatenated alignment keeps it for record i...

23.7

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0

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0

0.111111

0

null

0

null

0

1

0

8384d1480db51cc6251738da74aa3074adb07e4f

11,099

py

Python

rendez-vous.py

MrDarkness117/parseTsum

03f9f4d7c9e90a48eec5c689082a4274a160f501

[ "MIT" ]

null

rendez-vous.py

MrDarkness117/parseTsum

03f9f4d7c9e90a48eec5c689082a4274a160f501

[ "MIT" ]

null

rendez-vous.py

MrDarkness117/parseTsum

03f9f4d7c9e90a48eec5c689082a4274a160f501

[ "MIT" ]

null

from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.keys import Keys...

39.080986

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0.214785

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0.109705

0

null

0

null

0

1

0

8385a072d6737fbd7ff6db50b44b8505e7dcadb3

1,797

py

Python

public/neumeeditor/models/fields/short_code_field.py

jacobsanz97/cantus

37d139ae20972c36d4abb96a2a5ac5106b0c1b47

[ "MIT" ]

null

public/neumeeditor/models/fields/short_code_field.py

jacobsanz97/cantus

37d139ae20972c36d4abb96a2a5ac5106b0c1b47

[ "MIT" ]

null

public/neumeeditor/models/fields/short_code_field.py

jacobsanz97/cantus

37d139ae20972c36d4abb96a2a5ac5106b0c1b47

[ "MIT" ]

null

import re from django.db import models unacceptable_chars = "[^a-z0-9\._]" duplicate_spaces_and_dots = "[\ .]+" class ShortCodeField(models.CharField): description = "A short string representing a glyph name" def pre_save(self, model_instance, add): model_instance.short_code = sanitize_short_code(mo...

28.983871

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1,797

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0.051333

0.065153

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1,797

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0

0.272727

0

null

0

null

0

1

0

83882ea566cc14498c7c6f7269a02089a389aa86

2,862

py

Python

src/plugins/pipeline_plugins/utils/blob.py

google/cc4d

206543832368f96bac7f55c0de93c96e32127779

[ "Apache-2.0" ]

11

2021-03-23T22:03:00.000Z

2022-03-30T17:12:38.000Z

src/plugins/pipeline_plugins/utils/blob.py

google/cc4d

206543832368f96bac7f55c0de93c96e32127779

[ "Apache-2.0" ]

3

2021-07-21T10:13:24.000Z

2021-10-18T03:44:03.000Z

src/plugins/pipeline_plugins/utils/blob.py

google/cc4d

206543832368f96bac7f55c0de93c96e32127779

[ "Apache-2.0" ]

5

2021-05-07T03:30:29.000Z

2021-11-03T21:05:00.000Z

# python3 # coding=utf-8 # Copyright 2020 Google LLC. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...

37.657895

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0.25

0

null

0

null

0

1

0

8388c207ef02a512832cd36b34b04ff91b5bc7e2

2,636

py

Python

LinearModel/scripts/three_classes_train.py

SMZCC/TF-deep-learn

7517685d8b4fb51f1823d4595165538305739fc7

[ "MIT" ]

null

LinearModel/scripts/three_classes_train.py

SMZCC/TF-deep-learn

7517685d8b4fb51f1823d4595165538305739fc7

[ "MIT" ]

null

LinearModel/scripts/three_classes_train.py

SMZCC/TF-deep-learn

7517685d8b4fb51f1823d4595165538305739fc7

[ "MIT" ]

null

# coding=utf-8 # date: 2019/1/1, 19:38 # name: smz import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from sklearn.utils import shuffle from LinearModel.modules.model3 import ModelThreeClasses from LinearModel.configuration.options import opts from LinearModel.scripts.gen_data import generate_d...

35.621622

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0.018868

0

null

0

null

0

1

0

83894f358de50ff81cde8fdfc6091027cb2fdbb8

21,108

py

Python

trio/_core/tests/test_multierror.py

JefffHofffman/trio

d8631117ce4ca19017bbe3850704dd5ce6cfaeb1

[ "Apache-2.0", "MIT" ]

4

2017-03-01T22:14:46.000Z

2020-07-31T07:18:18.000Z

trio/_core/tests/test_multierror.py

JefffHofffman/trio

d8631117ce4ca19017bbe3850704dd5ce6cfaeb1

[ "Apache-2.0", "MIT" ]

81

2017-01-22T11:58:29.000Z

2017-05-27T22:17:49.000Z

trio/_core/tests/test_multierror.py

JefffHofffman/trio

d8631117ce4ca19017bbe3850704dd5ce6cfaeb1

[ "Apache-2.0", "MIT" ]

1

2020-05-28T19:38:09.000Z

import logging import pytest from traceback import extract_tb, print_exception, format_exception, _cause_message import sys import os import re from pathlib import Path import subprocess from .tutil import slow from .._multierror import MultiError, concat_tb from ..._core import open_nursery class NotHashableExcep...

29.646067

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null

0

null

0

1

0

838a825c230b5aebf0d63f09c997caea89e365c9

3,896

py

Python

servo/drv/ec3po_gpio.py

mmind/servo-hdctools

c7d50190837497dafc45f6efe18bf01d6e70cfd2

[ "BSD-3-Clause" ]

2

2019-09-25T22:44:39.000Z

2020-07-26T22:29:20.000Z

servo/drv/ec3po_gpio.py

mmind/servo-hdctools

c7d50190837497dafc45f6efe18bf01d6e70cfd2

[ "BSD-3-Clause" ]

null

servo/drv/ec3po_gpio.py

mmind/servo-hdctools

c7d50190837497dafc45f6efe18bf01d6e70cfd2

[ "BSD-3-Clause" ]

null

# Copyright 2016 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Driver for gpio controls through ec3po. Provides the following console controlled function: _Get_single, _Set_single, _Get_multi, _Set_multi """ imp...

25.973333

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0

0.25

0

null

0

null

0

1

0

8391c2e017e6f922119fae69c3e8b24e0d685ffc

2,959

py

Python

grad_cam.py

SamuelCahyawijaya/pytorch-smoothgrad

d9a5a359aab520a500e19359b309d1c030babb20

[ "MIT" ]

77

2017-07-28T15:54:44.000Z

2018-04-21T08:25:36.000Z

grad_cam.py

SamuelCahyawijaya/pytorch-smoothgrad

d9a5a359aab520a500e19359b309d1c030babb20

[ "MIT" ]

null

grad_cam.py

SamuelCahyawijaya/pytorch-smoothgrad

d9a5a359aab520a500e19359b309d1c030babb20

[ "MIT" ]

12

2019-10-11T16:00:51.000Z

2021-12-10T03:21:54.000Z

import argparse import os import sys import numpy as np from scipy import misc import cv2 import torch import torch.nn as nn from torch.autograd import Variable from torchvision.models import vgg16, vgg19 from torchvision.utils import save_image from lib.gradients import GradCam, GuidedBackpropGrad from lib.image_uti...

29.29703

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0.121622

0

null

0

null

0

1

0

839340ab08b4524ada1d06b4a611b58353ecf4dc

3,813

py

Python

ricga/ricga_server.py

MeteorKepler/laughing-invention

6f856d7ba27f956d8dceb18fe14ba2575beae6aa

[ "Apache-2.0" ]

1

2018-04-12T01:44:32.000Z

ricga/ricga_server.py

MeteorKepler/RICGA

6f856d7ba27f956d8dceb18fe14ba2575beae6aa

[ "Apache-2.0" ]

null

ricga/ricga_server.py

MeteorKepler/RICGA

6f856d7ba27f956d8dceb18fe14ba2575beae6aa

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import cgi from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer import tensorflow as tf from ricga import configuration from ricga import inference_wrapper from ricga.inference_utils import caption_g...

37.019417

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3,813

5.124413

0.370892

0.016033

0.02382

0.026111

0.119102

0.06688

0.043976

0

0.011533

0.295043

3,813

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116

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0.800595

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false

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0.240506

0.025316

0

null

0

null

0

1

0

8394cbef054df0807f179df99652e99fb23bca5e

7,331

py

Python

datacube_alchemist/_utils.py

erin-telfer/datacube-alchemist

4c37b2243027769f01ce0729e5ff56d0f6354316

[ "Apache-2.0" ]

15

2020-06-23T06:03:41.000Z

2021-12-23T00:19:01.000Z

datacube_alchemist/_utils.py

erin-telfer/datacube-alchemist

4c37b2243027769f01ce0729e5ff56d0f6354316

[ "Apache-2.0" ]

69

2019-08-14T02:03:38.000Z

2022-03-04T03:38:20.000Z

datacube_alchemist/_utils.py

erin-telfer/datacube-alchemist

4c37b2243027769f01ce0729e5ff56d0f6354316

[ "Apache-2.0" ]

3

2020-09-21T22:01:34.000Z

2021-09-22T03:02:26.000Z

import json from pathlib import Path import re from typing import Dict import boto3 import structlog from datacube.model import Dataset from datacube.virtual import Measurement, Transformation from eodatasets3 import DatasetAssembler, serialise from eodatasets3.model import DatasetDoc, ProductDoc from eodatasets3.prop...

32.438053

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0.013951

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0.167203

0

0.00971

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false

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0.012579

0.232704

0

null

0

null

0

1

0

8394cda94ca23da8940ee7626693fe1126d8fab2

834

py

Python

HMBBF/migrations/0015_auto_20161202_1733.py

HLoveMe/HWMBBF_Serve

a11fb5b67c913b62df839ce3438a3be433e3865b

[ "Apache-2.0" ]

null

HMBBF/migrations/0015_auto_20161202_1733.py

HLoveMe/HWMBBF_Serve

a11fb5b67c913b62df839ce3438a3be433e3865b

[ "Apache-2.0" ]

null

HMBBF/migrations/0015_auto_20161202_1733.py

HLoveMe/HWMBBF_Serve

a11fb5b67c913b62df839ce3438a3be433e3865b

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('HMBBF', '0014_theme'), ] operations = [ migrations.AddField( model_name='theme', name='time', ...

27.8

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834

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834

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0.217391

0

null

0

null

0

1

0

83963bff306e66c0a55e66eed48eb8e977fd0dbd

4,649

py

Python

rb/processings/text_classifier/text_classifier.py

readerbench/ReaderBench

f0588a9a63ba21e3b8c2e5e5bc474904c07f6897

[ "Apache-2.0" ]

null

rb/processings/text_classifier/text_classifier.py

readerbench/ReaderBench

f0588a9a63ba21e3b8c2e5e5bc474904c07f6897

[ "Apache-2.0" ]

2

2021-10-17T14:00:52.000Z

rb/processings/text_classifier/text_classifier.py

readerbench/ReaderBench

f0588a9a63ba21e3b8c2e5e5bc474904c07f6897

[ "Apache-2.0" ]

null

from rb.core.lang import Lang from rb.core.document import Document from rb.complexity.complexity_index import ComplexityIndex, compute_indices from rb.similarity.word2vec import Word2Vec from rb.similarity.vector_model import VectorModelType, CorporaEnum, VectorModel from rb.similarity.vector_model_factory import VECT...

35.219697

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0

0.01052

0.304797

4,649

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114

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0

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false

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0

0.27619

0.009524

0

null

0

null

0

1

0

839812d03b6dbafa768b4338253f5ebbd452fe07

821

py

Python

vault_importer/csv.py

rpetti/vault-keepassxc-importer

7258a1062a52426e44fddce57d0f841f98f3c2c1

[ "Apache-2.0" ]

null

vault_importer/csv.py

rpetti/vault-keepassxc-importer

7258a1062a52426e44fddce57d0f841f98f3c2c1

[ "Apache-2.0" ]

null

vault_importer/csv.py

rpetti/vault-keepassxc-importer

7258a1062a52426e44fddce57d0f841f98f3c2c1

[ "Apache-2.0" ]

null

import csv class Csv: def __init__(self, csv_file): self.reader = csv.reader(open(csv_file, newline=''), delimiter=',') def parse(self): parsed = [] # Ignore the first line, 't is the header next(self.reader) for row in self.reader: secret = { ...

26.483871

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821

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false

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0

0.28

0

null

0

null

0

1

0

839832c0e53eab95cbbd979af3ec19abef8086bb

3,069

py

Python

src/reader/_plugins/enclosure_tags.py

mirekdlugosz/reader

d929b88f1981085b68e82019aa59af126479d4a9

[ "BSD-3-Clause" ]

205

2018-07-14T12:54:21.000Z

2022-03-29T06:47:13.000Z

src/reader/_plugins/enclosure_tags.py

mirekdlugosz/reader

d929b88f1981085b68e82019aa59af126479d4a9

[ "BSD-3-Clause" ]

275

2018-01-28T20:57:13.000Z

2022-03-29T21:45:11.000Z

src/reader/_plugins/enclosure_tags.py

mirekdlugosz/reader

d929b88f1981085b68e82019aa59af126479d4a9

[ "BSD-3-Clause" ]

12

2021-01-01T17:15:53.000Z

2022-03-22T09:38:12.000Z

""" enclosure_tags ~~~~~~~~~~~~~~ Fix tags for MP3 enclosures (e.g. podcasts). Adds a "with tags" link to a version of the file with tags set as follows: * the entry title as title * the feed title as album * the entry/feed author as author This plugin needs additional dependencies, use the ``unstable-plugins`` ext...

26.008475

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false

0

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null

0

null

0

1

0

8398b2a65cd51b95d6dff4f5e09806cedb08e588

454

py

Python

sqllite/delete_the_data.py

arjunjanamatti/pymongo_practise

d69153f6a0cce9416b10c0adf300986bfe9dfe22

[ "Apache-2.0" ]

null

sqllite/delete_the_data.py

arjunjanamatti/pymongo_practise

d69153f6a0cce9416b10c0adf300986bfe9dfe22

[ "Apache-2.0" ]

null

sqllite/delete_the_data.py

arjunjanamatti/pymongo_practise

d69153f6a0cce9416b10c0adf300986bfe9dfe22

[ "Apache-2.0" ]

null

import _sqlite3 mydb = _sqlite3.connect(database = 'namelist') with mydb: cur = mydb.cursor() name = 'update_name_placeholder' cur.execute('DELETE FROM users WHERE First_name = ?', (name,)) mydb.commit() print('Data deleted!!!') cur = mydb.cursor() selectquery = 'SELECT * FROM users...

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null

0

null

0

1

0

839cf93a477b1ceb19582913fdf13770dea82220

27,056

py

Python

sfftk_migrate/test_sfftk_migrate.py

emdb-empiar/sfftk-migrate

fc8941082256456edb61fe22ecbf932f6258352a

[ "Apache-2.0" ]

null

sfftk_migrate/test_sfftk_migrate.py

emdb-empiar/sfftk-migrate

fc8941082256456edb61fe22ecbf932f6258352a

[ "Apache-2.0" ]

2

2020-04-02T15:25:10.000Z

2020-04-03T14:32:12.000Z

sfftk_migrate/test_sfftk_migrate.py

emdb-empiar/sfftk-migrate

fc8941082256456edb61fe22ecbf932f6258352a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import sys import types import unittest import inspect from lxml import etree from . import XSL, XML, VERSION_LIST from .core import get_module, get_stylesheet, get_source_version, get_migration_path, list_versions from .main import parse_args from .migrate import migrate_by_styleshe...

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0

null

0

null

0

1

0

839e9ac3360c11d26c97e8b4677e721f25a025a1

11,298

py

Python

ross/stochastic/st_shaft_element.py

hssaabbl/ross

5e548d24c8522c8a9a294479c580c21b4eb3bb65

[ "MIT" ]

69

2018-12-26T19:21:26.000Z

2022-02-10T08:48:03.000Z

ross/stochastic/st_shaft_element.py

hssaabbl/ross

5e548d24c8522c8a9a294479c580c21b4eb3bb65

[ "MIT" ]

639

2018-12-18T16:44:11.000Z

2022-03-27T16:46:41.000Z

ross/stochastic/st_shaft_element.py

hssaabbl/ross

5e548d24c8522c8a9a294479c580c21b4eb3bb65

[ "MIT" ]

136

2019-01-08T12:37:32.000Z

2022-03-30T07:14:35.000Z

"""Shaft element module for STOCHASTIC ROSS. This module creates an instance of random shaft element for stochastic analysis. """ from ross.shaft_element import ShaftElement from ross.stochastic.st_materials import ST_Material from ross.stochastic.st_results_elements import plot_histogram from ross.units import Q_, ch...

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0.322784

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null

0

null

0

1

0

839ec849aea4ca2defce43d38650cfab96daff56

2,873

py

Python

sympy/benchmarks/bench_symbench.py

vprusso/sympy

d5aa27ec88bb076f59087aada97d99bfff8b2f4c

[ "BSD-3-Clause" ]

null

sympy/benchmarks/bench_symbench.py

vprusso/sympy

d5aa27ec88bb076f59087aada97d99bfff8b2f4c

[ "BSD-3-Clause" ]

null

sympy/benchmarks/bench_symbench.py

vprusso/sympy

d5aa27ec88bb076f59087aada97d99bfff8b2f4c

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python from __future__ import print_function, division from sympy.core.compatibility import xrange from random import random from sympy import factor, I, Integer, pi, simplify, sin, sqrt, Symbol, sympify from sympy.abc import x, y, z from timeit import default_timer as clock def bench_R1(): "real(...

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0

null

0

null

0

1

0

839f729c16c6176bd93a48ef474f3a2349aae65f

774

py

Python

tests/test_capture.py

atac/c10-tools

278acfaab8bb42dff448fe1fbe08e7b7f75b1752

[ "BSD-3-Clause" ]

5

2021-06-10T01:32:06.000Z

2021-12-22T23:05:52.000Z

tests/test_capture.py

atac/c10-tools

278acfaab8bb42dff448fe1fbe08e7b7f75b1752

[ "BSD-3-Clause" ]

17

2020-08-03T16:35:26.000Z

2022-03-30T17:29:41.000Z

tests/test_capture.py

atac/c10-tools

278acfaab8bb42dff448fe1fbe08e7b7f75b1752

[ "BSD-3-Clause" ]

null

from tempfile import NamedTemporaryFile import os import pytest from c10_tools.capture import main @pytest.fixture def args(): return {'<infile>': pytest.PCAP, '<outfile>': NamedTemporaryFile('wb').name, '-f': True, '-q': True, '-t': pytest.TMATS} def test_over...

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0

null

0

null

0

1

0

83a1781aa9bd0a390115621e83bce23ea229c38b

1,025

py

Python

dino.py

panpepson/DinoBot-chroma-offline

a6587555bf52c1545e69d79a4d30f19ad911eff2

[ "MIT" ]

null

dino.py

panpepson/DinoBot-chroma-offline

a6587555bf52c1545e69d79a4d30f19ad911eff2

[ "MIT" ]

3

2021-06-08T21:14:50.000Z

2022-03-12T00:22:40.000Z

dino.py

panpepson/DinoBot-chroma-offline

a6587555bf52c1545e69d79a4d30f19ad911eff2

[ "MIT" ]

null

#!/usr/bin/python3 import numpy as np import cv2 from mss.linux import MSS as mss from PIL import Image import time import pyautogui as pg #mon = {'top': 480, 'left': 130, 'width': 70, 'height': 35} mon = {'top': 200, 'left': 410, 'width': 50, 'height': 30} #git-b01 def process_image(original_image): processed_...

26.282051

80

0.62439

138

1,025

4.521739

0.514493

0.134615

0.054487

0.051282

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0.24

1,025

38

81

26.973684

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0.004255

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1

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false

0

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0

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0.071429

0

null

0

null

0

1

0

83a1f16b819638b10f8073878aae0693547c3238

5,085

py

Python

trove/tests/scenario/groups/instance_create_group.py

sapcc/trove

c03ec0827687fba202f72f4d264ab70158604857

[ "Apache-2.0" ]

1

2019-09-20T08:31:54.000Z

trove/tests/scenario/groups/instance_create_group.py

sapcc/trove

c03ec0827687fba202f72f4d264ab70158604857

[ "Apache-2.0" ]

5

2019-08-14T06:46:03.000Z

2021-12-13T20:01:25.000Z

trove/tests/scenario/groups/instance_create_group.py

sapcc/trove

c03ec0827687fba202f72f4d264ab70158604857

[ "Apache-2.0" ]

2

2020-03-15T01:24:15.000Z

2020-07-22T20:34:26.000Z

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

34.828767

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0

0.375

0

null

0

null

0

1

0

83a21e9300920f882ecbddf58f262c3769b6771a

20,066

py

Python

reco_utils/recommender/deeprec/models/dkn.py

suhoy901/recommenders

8ec9f1950d694a5aeaa3d463ac23cad661a30a11

[ "MIT" ]

28

2021-11-12T08:26:40.000Z

2022-03-27T07:21:24.000Z

reco_utils/recommender/deeprec/models/dkn.py

shobhit-agarwal/recommenders

8ec9f1950d694a5aeaa3d463ac23cad661a30a11

[ "MIT" ]

5

2021-11-10T02:58:32.000Z

2022-03-21T16:13:11.000Z

reco_utils/recommender/deeprec/models/dkn.py

shobhit-agarwal/recommenders

8ec9f1950d694a5aeaa3d463ac23cad661a30a11

[ "MIT" ]

9

2021-11-03T07:14:47.000Z

2022-02-22T13:42:04.000Z

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. import numpy as np import tensorflow as tf from reco_utils.recommender.deeprec.models.base_model import BaseModel __all__ = ["DKN"] class DKN(BaseModel): """DKN model (Deep Knowledge-Aware Network) H. Wang, F. Zh...

41.630705

126

0.546397

2,196

20,066

4.715392

0.150273

0.023177

0.019314

0.012554

0.468469

0.358957

0.258522

0.228102

0.1521

0.145534

0

0.014402

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20,066

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127

41.717256

0.81413

0.147214

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false

0

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0

0.06267

0

null

0

null

0

1

0

83a22a3ba1efc66d7ca002b326c88281fa4ad1f6

2,193

py

Python

LeNet-5/LeNet-5.py

huangjunxiong11/TF2

6de61c28c59ef34be7e53762b3a759da152642f7

[ "MIT" ]

null

LeNet-5/LeNet-5.py

huangjunxiong11/TF2

6de61c28c59ef34be7e53762b3a759da152642f7

[ "MIT" ]

null

LeNet-5/LeNet-5.py

huangjunxiong11/TF2

6de61c28c59ef34be7e53762b3a759da152642f7

[ "MIT" ]

null

import tensorflow as tf from tensorflow.keras import datasets, layers, optimizers, Sequential, metrics, losses # 1.数据集准备 (x, y), (x_val, y_val) = datasets.mnist.load_data() # 加载数据集，返回的是两个元组，分别表示训练集和测试集 x = tf.convert_to_tensor(x, dtype=tf.float32) / 255. # 转换为张量，并缩放到0~1 y = tf.convert_to_tensor(y, dtype=tf.int32) #...

47.673913

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0.674875

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4.60828

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0.033172

0.015204

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0

0.060673

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0.054054

0

null

0

null

0

1

0

83a6888316b1c7a494fc6ea76d1fb65b1293789a

2,651

py

Python

pythonProject1/venv/Lib/site-packages/tkinterpp/dialoguebox.py

mjtomlinson/CNE330_Python_1_Final_Project

05020806860937ef37b9a0ad2e27de4897a606de

[ "CC0-1.0" ]

null

pythonProject1/venv/Lib/site-packages/tkinterpp/dialoguebox.py

mjtomlinson/CNE330_Python_1_Final_Project

05020806860937ef37b9a0ad2e27de4897a606de

[ "CC0-1.0" ]

null

pythonProject1/venv/Lib/site-packages/tkinterpp/dialoguebox.py

mjtomlinson/CNE330_Python_1_Final_Project

05020806860937ef37b9a0ad2e27de4897a606de

[ "CC0-1.0" ]

null

try: import tkinter as tk except ImportError: import Tkinter as tk class DialogueEntry(tk.Toplevel): """ DialogueEntry : tkinter.Toplevel Dialogue box that allow the user to input a text in a field. kwargs : title : title of the dialogue box text : text di...

36.819444

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0.606941

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2,651

4.263587

0.290761

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0.030593

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0.100701

0.038241

0

0.013235

0.287439

2,651

71

181

37.338028

0.817364

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0.045455

0

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false

0

0.068182

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0.227273

0

null

0

null

0

1

0

83a7ad962e9be184926ad2137bbbb0b45b02188c

4,781

py

Python

testing/python/tests/test_dcgm_reader.py

omertuc/DCGM

904e1600e5924ef60ac5256d492d0b7f6a7244bc

[ "Apache-2.0" ]

null

testing/python/tests/test_dcgm_reader.py

omertuc/DCGM

904e1600e5924ef60ac5256d492d0b7f6a7244bc

[ "Apache-2.0" ]

null

testing/python/tests/test_dcgm_reader.py

omertuc/DCGM

904e1600e5924ef60ac5256d492d0b7f6a7244bc

[ "Apache-2.0" ]

null

# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli...

35.947368

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0.69316

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4,781

5.339465

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0.033824

0.04134

0.045099

0.264015

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0.205449

0.163483

0

0.015907

0.224221

4,781

132

95

36.219697

0.844972

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0

0.213483

0

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false

0

0.11236

0

0.157303

0

null

0

null

0

1

0

83a81a83e057b3d3c679bc9510ffe5779a6f5647

14,761

py

Python

tests/lava/lib/dl/slayer/neuron/test_alif.py

timcheck/lava-dl

e680722071129fde952ea0d744984aa2a038797a

[ "BSD-3-Clause" ]

37

2021-09-30T16:47:15.000Z

2022-03-07T22:29:21.000Z

tests/lava/lib/dl/slayer/neuron/test_alif.py

timcheck/lava-dl

e680722071129fde952ea0d744984aa2a038797a

[ "BSD-3-Clause" ]

36

2021-11-04T16:54:55.000Z

2022-03-31T02:26:29.000Z

tests/lava/lib/dl/slayer/neuron/test_alif.py

timcheck/lava-dl

e680722071129fde952ea0d744984aa2a038797a

[ "BSD-3-Clause" ]

20

2021-10-29T22:55:58.000Z

2022-03-22T17:27:16.000Z

# Copyright (C) 2022 Intel Corporation # SPDX-License-Identifier: BSD-3-Clause import sys import os import unittest import numpy as np import matplotlib.pyplot as plt import torch import torch.nn.functional as F from lava.lib.dl.slayer.neuron import alif verbose = True if (('-v' in sys.argv) or ('--verbose' in sys....

34.569087

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0.492175

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4.436057

0.134747

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0.075939

0.022782

0.502883

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0.319505

0.302348

0.23541

0

0.029434

0.376262

14,761

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0.018519

false

0.002646

0.021164

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0.042328

0.066138

0

null

0

null

0

1

0

83a83633ab9542d9e22f77076652f1c0ce78f53a

526

py

Python

amount_test.py

kalafut/go-ledger

28a625e31d460e0ac2926c53a30f47f159d2b82f

[ "MIT" ]

null

amount_test.py

kalafut/go-ledger

28a625e31d460e0ac2926c53a30f47f159d2b82f

[ "MIT" ]

2

2015-11-08T18:50:11.000Z

2015-11-08T18:50:42.000Z

amount_test.py

kalafut/go-ledger

28a625e31d460e0ac2926c53a30f47f159d2b82f

[ "MIT" ]

null

import decimal import pytest from amount import Amount as A def test_basic(): a = A(("0.30", "$")) assert '$ 0.30' == str(a) a = A({"$": decimal.Decimal(4)}) assert '$ 4', str(a) def test_add(): a = A(("2.34", "$")) b = A(("5.97", "$")) assert "$ 8.31" == str(a+b) c = A(("9.01", "CA...

21.04

46

0.452471

87

526

2.712644

0.37931

0.033898

0.067797

0.101695

0.127119

0

0.096939

0.254753

526

24

47

21.916667

0.505102

0

0.155894

0

0.388889

1

0.111111

false

0

0.166667

0

0.277778

0

null

0

null

0

1

0

83a84321ea0a0bc9570475d0ce3c63e9712bd0ca

4,449

py

Python

DiscoGAN/discogan_train.py

sumersumerdjl/kozistr-Awesome-GANs

6e20e9cd07d0ec413a187d496159b97d793dab0c

[ "MIT" ]

1

2021-08-16T01:40:46.000Z

DiscoGAN/discogan_train.py

Psyche-mia/Awesome-GANs

6e20e9cd07d0ec413a187d496159b97d793dab0c

[ "MIT" ]

null

DiscoGAN/discogan_train.py

Psyche-mia/Awesome-GANs

6e20e9cd07d0ec413a187d496159b97d793dab0c

[ "MIT" ]

1

2021-08-16T01:35:21.000Z

from __future__ import absolute_import from __future__ import print_function from __future__ import division import tensorflow as tf # import numpy as np import time import discogan import sys sys.path.insert(0, '../') import image_utils as iu from datasets import Pix2PixDataSet as DataSets results = { 'sampl...

34.757813

111

0.537199

507

4,449

4.439842

0.266272

0.048867

0.037317

0.030653

0.204354

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0.075522

0.052421

0

0.013952

0.355586

4,449

127

112

35.031496

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0.086761

0

0.109352

0.00668

0

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false

0

0.113924

0

0.126582

0.063291

0

null

0

null

0

1

0

83ab1978e9bfcb9289cdc6a850d6619b639f3ad4

967

py

Python

experiments/12_wiki_training.py

dddaga/word-tree

ed6c59c16feee04d5c6003b3f5f4df68e6808e04

[ "MIT" ]

null

experiments/12_wiki_training.py

dddaga/word-tree

ed6c59c16feee04d5c6003b3f5f4df68e6808e04

[ "MIT" ]

null

experiments/12_wiki_training.py

dddaga/word-tree

ed6c59c16feee04d5c6003b3f5f4df68e6808e04

[ "MIT" ]

1

2020-12-02T09:07:06.000Z

import numpy as np EXPERIMENT_NAME = 'EXP_12' CORPUS_PATH = '/home/dddhiraj/Documents/stuff/data/wiki_en.txt' TRAINING_WINDOW = 5 CONTEXT_DIMENSION = 64 LEANING_RATE = 1 DROPOUT = 0.05 CONTEXT_DECAY = 1 - TRAINING_WINDOW ** -0.5 CONTRASTIVE_WEIGHT = 1#0.1 NEGATIVE_SAMPLE_SIZE ...

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83ab5e631ea0bec7a174bfa753c93a724a3979a9

49,562

py

Python

yasi.py

arenadotio/yasi-sexp-indenter

f64cd332b3f41d7c2b3458b4279a13ec26df16b8

[ "MIT" ]

null

yasi.py

arenadotio/yasi-sexp-indenter

f64cd332b3f41d7c2b3458b4279a13ec26df16b8

[ "MIT" ]

1

2020-07-14T16:07:38.000Z

yasi.py

arenadotio/yasi-sexp-indenter

f64cd332b3f41d7c2b3458b4279a13ec26df16b8

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 """ yasi Date: 20th November 2013 Author: nkmathew <kipkoechmathew@gmail.com> Dialect aware s-expression indenter """ from __future__ import print_function import argparse import hashlib import os import re import shutil import sys import time import collections import json i...

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null

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83abb74e341537b5ab6f003c11360924411e10b7

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py

Python

Chapter09/01-optimize-mlp-layers.py

KonstantinKlepikov/Hands-On-Genetic-Algorithms-with-Python

ee5e7c5f8274a7ce22c3b528f86fa2bb1695e686

[ "MIT" ]

null

Chapter09/01-optimize-mlp-layers.py

KonstantinKlepikov/Hands-On-Genetic-Algorithms-with-Python

ee5e7c5f8274a7ce22c3b528f86fa2bb1695e686

[ "MIT" ]

null

Chapter09/01-optimize-mlp-layers.py

KonstantinKlepikov/Hands-On-Genetic-Algorithms-with-Python

ee5e7c5f8274a7ce22c3b528f86fa2bb1695e686

[ "MIT" ]

null

from deap import base from deap import creator from deap import tools import random import numpy import mlp_layers_test import elitism # boundaries for layer size parameters: # [layer_layer_1_size, hidden_layer_2_size, hidden_layer_3_size, hidden_layer_4_size] BOUNDS_LOW = [ 5, -5, -10, -20] BOUNDS_HIGH = [15, 10...

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null

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83ade6c082d1004a672714e19137f8f4cc8ec685

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py

Python

notifications_utils/__init__.py

cds-snc/notifier-utils

c3a205ac4381312fe1884a39ffafa7ffb862736f

[ "MIT" ]

3

2020-04-29T17:13:43.000Z

2020-12-04T21:08:33.000Z

notifications_utils/__init__.py

cds-snc/notifier-utils

c3a205ac4381312fe1884a39ffafa7ffb862736f

[ "MIT" ]

21

2020-04-16T12:29:46.000Z

2022-02-28T17:17:15.000Z

notifications_utils/__init__.py

cds-snc/notifier-utils

c3a205ac4381312fe1884a39ffafa7ffb862736f

[ "MIT" ]

4

2020-02-21T20:20:00.000Z

2021-02-11T19:00:59.000Z

import re SMS_CHAR_COUNT_LIMIT = 612 # 153 * 4 # regexes for use in recipients.validate_email_address. # Valid characters taken from https://en.wikipedia.org/wiki/Email_address#Local-part # Note: Normal apostrophe eg `Firstname-o'surname@domain.com` is allowed. hostname_part = re.compile(r"^(xn-|[a-z0-9]+)(-[a-z0-9]...

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83af8ba0d0f4e817ed4ef6eadece62ddc41fd7db

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py

Python

respondd/Cache.py

FreiFunkMuenster/py-respondd

4b59b0fa2418ed021abe2dca5906b8290e4600d0

[ "MIT" ]

null

respondd/Cache.py

FreiFunkMuenster/py-respondd

4b59b0fa2418ed021abe2dca5906b8290e4600d0

[ "MIT" ]

null

respondd/Cache.py

FreiFunkMuenster/py-respondd

4b59b0fa2418ed021abe2dca5906b8290e4600d0

[ "MIT" ]

null

import time class Cache(object): globalCache = {} localCace = {} timeout = 0 now = time.time() @staticmethod def setTimeout(timeout): Cache.timeout = timeout @staticmethod def updateTime(): Cache.now = time.time() @staticmethod def _isValid(timestamp): return True if Cache.now - Cache.timeout <= tim...

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null

0

null

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83b152d0790dab9900fa13fb39789949a2ecb7fe

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py

Python

examples/move_presets.py

crazy-djactor/OnVifControlCam

36b1d70b4c025b1bce8ed8ddc1d95c04fe298e1d

[ "MIT" ]

null

examples/move_presets.py

crazy-djactor/OnVifControlCam

36b1d70b4c025b1bce8ed8ddc1d95c04fe298e1d

[ "MIT" ]

null

examples/move_presets.py

crazy-djactor/OnVifControlCam

36b1d70b4c025b1bce8ed8ddc1d95c04fe298e1d

[ "MIT" ]

null

import zeep import asyncio, sys from onvif import ONVIFCamera import cv2 import numpy as np import urllib from urllib.request import urlopen IP="192.168.2.22" # Camera IP address PORT=80 # Port USER="admin" # Username PASS="C0nc3ll0M4r1n" # Password XMAX = 1 XMIN = -1 YMAX = 1 YMIN = -1 mov...

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null

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null

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83b20a373bfc0ad0b76d049c2ba241c013b10033

737

py

Python

utils.py

OttrOne/suivi

9e53a39b0f50054b89cb960eb9055fd0a28a5ebf

[ "MIT" ]

null

utils.py

OttrOne/suivi

9e53a39b0f50054b89cb960eb9055fd0a28a5ebf

[ "MIT" ]

2

2022-01-11T15:50:04.000Z

2022-01-13T01:53:53.000Z

utils.py

OttrOne/suivi

9e53a39b0f50054b89cb960eb9055fd0a28a5ebf

[ "MIT" ]

null

from string import ascii_lowercase, digits from random import choice from re import compile def id_generator(length=8, chars=ascii_lowercase + digits): return ''.join(choice(chars) for _ in range(length)) def hrsize(num: int) -> str: for unit in ['', 'KiB', 'MiB', 'GiB', 'TiB']: if num < 1024.0: ...

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null

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1

0

83b3965c73ce131b836c28e365aa820a33396d8f

2,602

py

Python

DiSPy/core/path.py

munrojm/DiSPy

c1ae9e213d16bfd098b362e7d54d997cd95f8919

[ "MIT" ]

19

2018-10-05T01:49:36.000Z

2021-11-23T13:35:22.000Z

DiSPy/core/path.py

munrojm/DiSPy

c1ae9e213d16bfd098b362e7d54d997cd95f8919

[ "MIT" ]

1

2019-03-27T20:13:08.000Z

2019-03-28T23:22:22.000Z

DiSPy/core/path.py

munrojm/DiSPy

c1ae9e213d16bfd098b362e7d54d997cd95f8919

[ "MIT" ]

6

2019-06-05T21:41:16.000Z

2021-04-07T09:23:42.000Z

import numpy as np from typing import Dict, List from monty.json import MSONable from pymatgen.core.structure import Structure from pymatgen.symmetry.groups import SymmOp from DiSPy.core.dg import DistortionGroup from DiSPy.core.vecutils import closewrapped # -- Path object and its attributes class Path(MSONable):...

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null

0

null

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83b730a44041eeddf60233b1f8b68fb907f48e86

2,386

py

Python

tests/unit/test_product.py

jeantardelli/architecture-patterns-with-python

d48c7d6d4a44073b815c7e6770e44cf2e231e35b

[ "MIT" ]

1

2021-04-07T18:04:56.000Z

tests/unit/test_product.py

jeantardelli/architecture-patterns-with-python

d48c7d6d4a44073b815c7e6770e44cf2e231e35b

[ "MIT" ]

null

tests/unit/test_product.py

jeantardelli/architecture-patterns-with-python

d48c7d6d4a44073b815c7e6770e44cf2e231e35b

[ "MIT" ]

null

from datetime import date, timedelta from allocation.domain import events from allocation.domain.model import Product, OrderLine, Batch today = date.today() tomorrow = today + timedelta(days=1) later = tomorrow + timedelta(days=10) def test_prefers_warehouse_batches_to_shipments(): in_stock_batch = Batch("in-stoc...

39.114754

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0

null

0

1

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83b9a7791d97770f25fe0980d7aaeedc83bafde6

6,129

py

Python

tests/unit/states/test_grafana.py

yuriks/salt

d2a5bd8adddb98ec1718d79384aa13b4f37e8028

[ "Apache-2.0", "MIT" ]

1

2020-03-31T22:51:16.000Z

tests/unit/states/test_grafana.py

yuriks/salt

d2a5bd8adddb98ec1718d79384aa13b4f37e8028

[ "Apache-2.0", "MIT" ]

null

tests/unit/states/test_grafana.py

yuriks/salt

d2a5bd8adddb98ec1718d79384aa13b4f37e8028

[ "Apache-2.0", "MIT" ]

1

2021-09-30T07:00:01.000Z

# -*- coding: utf-8 -*- ''' :codeauthor: Jayesh Kariya <jayeshk@saltstack.com> ''' # Import Python libs from __future__ import absolute_import, print_function, unicode_literals # Import Salt Testing Libs from tests.support.mixins import LoaderModuleMockMixin from tests.support.unit import TestCase from tests.suppo...

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83b9dae35ff849de97a8ab5c1b5b328eee4bf2a8

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py

Python

08.Graph/Kruskal.py

SP2021-2/Algorithm

2e629eb5234212fad8bbc11491aad068e5783780

[ "MIT" ]

1

2021-11-21T06:03:06.000Z

08.Graph/Kruskal.py

SP2021-2/Algorithm

2e629eb5234212fad8bbc11491aad068e5783780

[ "MIT" ]

2

2021-10-13T07:21:09.000Z

2021-11-14T13:53:08.000Z

08.Graph/Kruskal.py

SP2021-2/Algorithm

2e629eb5234212fad8bbc11491aad068e5783780

[ "MIT" ]

null

def pprint(arr): for line in arr: print(line) # 5 7 # 0 1 1 # 0 2 3 # 1 2 3 # 1 3 6 # 2 3 4 # 2 4 2 # 3 4 5 import sys import heapq as hq N, M = map(int, sys.stdin.readline().split(" ")) W = [[float('inf')] * N for _ in range(N)] h = [] for _ in range(M): i, j, w = map(int, sys.stdin.readline().split(...

16.15625

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null

0

null

0

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83bb637db13a5d4678648b8d28c8559126ac4919

3,176

py

Python

archivist/parser.py

Serhiy1/archivist-python

70c7acf29eecd303bb1517d3636663d83f36cc2c

[ "MIT" ]

2

2021-05-04T15:12:37.000Z

2021-09-08T10:04:41.000Z

archivist/parser.py

Serhiy1/archivist-python

70c7acf29eecd303bb1517d3636663d83f36cc2c

[ "MIT" ]

35

2021-05-04T12:39:26.000Z

2022-03-28T09:20:19.000Z

archivist/parser.py

Serhiy1/archivist-python

70c7acf29eecd303bb1517d3636663d83f36cc2c

[ "MIT" ]

6

2021-04-28T14:49:48.000Z

2022-01-07T15:29:05.000Z

"""common parser argument """ # pylint: disable=missing-docstring # pylint: disable=too-few-public-methods import argparse from enum import Enum import logging from sys import exit as sys_exit from . import archivist from .logger import set_logger from .proof_mechanism import ProofMechanism LOGGER = logging.getL...

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83bc85a7d09d10f1f239ce0341b95393b82459b8

6,635

py

Python

skytap/models/UserData.py

mapledyne/skytap

c7fb43e7d2b3e97c619948a9e5b3f03472b5cd45

[ "MIT" ]

3

2019-04-17T13:07:30.000Z

2021-09-09T22:01:14.000Z

skytap/models/UserData.py

FulcrumIT/skytap

c7fb43e7d2b3e97c619948a9e5b3f03472b5cd45

[ "MIT" ]

10

2016-11-02T20:48:38.000Z

2021-09-15T15:29:34.000Z

skytap/models/UserData.py

FulcrumIT/skytap

c7fb43e7d2b3e97c619948a9e5b3f03472b5cd45

[ "MIT" ]

3

2016-03-03T07:25:13.000Z

2016-08-30T15:33:03.000Z

"""Support for the UserData resource in Skytap. Specifically, this is for custom ('user data') that's applied to an environment or VM. This data can be text or, in the context of using it with this Skytap script, it can also be JSON or YAML and will then be re-parsed. This allows users to put data into a VM user data...

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0

null

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83bf94a78ac2eb29dfd1c2b50e991146823fcf6e

2,345

py

Python

generate_trajectories.py

keuntaeklee/pytorch-PPUU

0ba8c953df9cdb1e9937e301ed3384ac6b66ea73

[ "MIT" ]

159

2019-01-23T07:17:36.000Z

2022-03-29T14:33:31.000Z

generate_trajectories.py

keuntaeklee/pytorch-PPUU

0ba8c953df9cdb1e9937e301ed3384ac6b66ea73

[ "MIT" ]

44

2019-04-29T15:11:44.000Z

2022-02-21T18:28:46.000Z

generate_trajectories.py

keuntaeklee/pytorch-PPUU

0ba8c953df9cdb1e9937e301ed3384ac6b66ea73

[ "MIT" ]

61

2019-01-23T12:31:54.000Z

2022-03-07T09:25:20.000Z

import argparse, pdb import gym import numpy as np import os import pickle import random import torch import scipy.misc from gym.envs.registration import register parser = argparse.ArgumentParser() parser.add_argument('-display', type=int, default=0) parser.add_argument('-seed', type=int, default=1) parser.add_argumen...

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0.248598

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0

83c0b7884ac12f94ceaeb582cc3c5f5cebb5a227

999

py

Python

main.py

mvazifeh/gridart

78c01d6e660ca9c61f1220e102975ca632a2af6b

[ "MIT" ]

null

main.py

mvazifeh/gridart

78c01d6e660ca9c61f1220e102975ca632a2af6b

[ "MIT" ]

null

main.py

mvazifeh/gridart

78c01d6e660ca9c61f1220e102975ca632a2af6b

[ "MIT" ]

null

import matplotlib.pylab as plt import numpy as np import random from scipy.ndimage import gaussian_filter mu =9 N = 50 k = 10 eta =10 sigma = 2 p0 = 0.5 inverse_random = False L = range(N*N) Q = np.zeros((N*mu,N*mu)) for o in range(mu*mu): print(o) F = 1000*k a = np.ones((N,N)) for k_ in range(1000): ...

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null

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null

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83c0d18d58ec56ff811ed70776d16216d48d95ed

9,841

py

Python

fixture/contact.py

ruslankl9/python_training

7bcaf2606a80935a4a0c458af4e6a078f241fb38

[ "Apache-2.0" ]

null

fixture/contact.py

ruslankl9/python_training

7bcaf2606a80935a4a0c458af4e6a078f241fb38

[ "Apache-2.0" ]

null

fixture/contact.py

ruslankl9/python_training

7bcaf2606a80935a4a0c458af4e6a078f241fb38

[ "Apache-2.0" ]

null

from model.contact import Contact import re class ContactHelper(object): def __init__(self, app): self.app = app def change_field_value(self, field_name, text): wd = self.app.wd if text is not None: wd.find_element_by_name(field_name).click() wd.find_element_b...

43.737778

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9,841

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118

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0.177778

0

null

0

null

0

1

0

83c2085a8eb1b76f57b29dca121b213d911376c1

3,137

py

Python

vacancies_and_studentships/models.py

okyame/Arkestra

4aa22816b33d8f2d7a6bc8f7a498957134b557dd

[ "BSD-2-Clause" ]

1

2020-01-15T15:17:06.000Z

vacancies_and_studentships/models.py

okyame/Arkestra

4aa22816b33d8f2d7a6bc8f7a498957134b557dd

[ "BSD-2-Clause" ]

null

vacancies_and_studentships/models.py

okyame/Arkestra

4aa22816b33d8f2d7a6bc8f7a498957134b557dd

[ "BSD-2-Clause" ]

null

from django.db import models # from cms.models.fields import PlaceholderField from cms.models import CMSPlugin # from filer.fields.image import FilerImageField from arkestra_utilities.output_libraries.dates import nice_date # from arkestra_utilities.models import ArkestraGenericModel from arkestra_utilities.generic_...

36.057471

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3,137

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0.430986

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0.005569

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87

158

36.057471

0.874702

0.215811

0

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0

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0.019231

0.153846

0.038462

0.653846

0

null

0

null

0

1

0

83c2e6b596e3c848fe9f97b575c98a5ef638509f

2,660

py

Python

src/olympia/github/tests/test_views.py

gijsk/addons-server

7c38f379e3a0b4a5ca231f98ac0c049450c224bd

[ "BSD-3-Clause" ]

null

src/olympia/github/tests/test_views.py

gijsk/addons-server

7c38f379e3a0b4a5ca231f98ac0c049450c224bd

[ "BSD-3-Clause" ]

null

src/olympia/github/tests/test_views.py

gijsk/addons-server

7c38f379e3a0b4a5ca231f98ac0c049450c224bd

[ "BSD-3-Clause" ]

null

import json from django.utils.http import urlencode import mock import requests from olympia.amo.tests import AMOPaths, TestCase from olympia.amo.urlresolvers import reverse from olympia.files.models import FileUpload from olympia.github.tests.test_github import ( GithubBaseTestCase, example_pull_request) clas...

31.666667

77

0.642105

327

2,660

5.058104

0.333333

0.053204

0.043531

0.029021

0.235792

0.189843

0.154776

0.110036

0

0.009014

0.249248

2,660

83

78

32.048193

0.819229

0.029323

0

0.109375

0

0.112834

0.025591

0

0.09375

1

0.140625

false

0

0.125

0

0.296875

0

null

0

null

0

1

0

83c3b7af49b5b0a425d6a463dbe982452346eedf

4,381

py

Python

src/ns_web_api/web/ptx/thsr.py

steny138/PyNintendoEPrice

def9c95690cf3cf72615ae4216fee8fca2934de1

[ "Apache-2.0" ]

null

src/ns_web_api/web/ptx/thsr.py

steny138/PyNintendoEPrice

def9c95690cf3cf72615ae4216fee8fca2934de1

[ "Apache-2.0" ]

3

2020-06-22T15:38:18.000Z

2021-11-24T02:01:51.000Z

src/ns_web_api/web/ptx/thsr.py

steny138/PyNintendoEPrice

def9c95690cf3cf72615ae4216fee8fca2934de1

[ "Apache-2.0" ]

1

2018-08-04T08:15:05.000Z

import requests import logging from .auth import Auth domain = "https://ptx.transportdata.tw/MOTC/v2/Rail/THSR/" default_limit_count = 20 logger = logging.getLogger('flask.app') auth = Auth() def get_station(): """GET /v2/Rail/THSR/Station 取得車站基本資料 Returns: [dict] -- 車站基本資料 """ action = "...

20.471963

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4,381

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0.028271

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4,381

213

106

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0

0.09055

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0

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0.019802

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0

0.277228

0

null

0

null

0

1

0

83c68825efc5cb85db8af2cf295d7be0c83834f7

11,214

py

Python

curriculum/experiments/goals/point_nd/goal_point_nd_trpo.py

coco-robotics/rllab-curriculum

f55b50224fcf5a9a5c064542eb0850a966cab223

[ "MIT" ]

115

2017-12-06T16:31:10.000Z

2022-03-01T13:13:55.000Z

curriculum/experiments/goals/point_nd/goal_point_nd_trpo.py

coco-robotics/rllab-curriculum

f55b50224fcf5a9a5c064542eb0850a966cab223

[ "MIT" ]

21

2017-11-15T18:28:16.000Z

2021-04-22T15:26:45.000Z

curriculum/experiments/goals/point_nd/goal_point_nd_trpo.py

coco-robotics/rllab-curriculum

f55b50224fcf5a9a5c064542eb0850a966cab223

[ "MIT" ]

46

2017-12-22T22:26:01.000Z

2022-02-17T06:34:15.000Z

from curriculum.utils import set_env_no_gpu, format_experiment_prefix set_env_no_gpu() import argparse import math import os import os.path as osp import sys import random from multiprocessing import cpu_count import numpy as np import tensorflow as tf from rllab.misc.instrument import run_experiment_lite from rllab...

40.05

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0.626895

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11,214

4.852281

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0

null

0

null

0

1

0

83c83c646b4979fd4f5db5513084e63e8c7ce3e0

2,176

py

Python

health_reminder.py

carlkho-cvk/tbe_discord

f1dc05d0cd288b1be4e8d164f58056422627fcc1

[ "MIT" ]

null

health_reminder.py

carlkho-cvk/tbe_discord

f1dc05d0cd288b1be4e8d164f58056422627fcc1

[ "MIT" ]

null

health_reminder.py

carlkho-cvk/tbe_discord

f1dc05d0cd288b1be4e8d164f58056422627fcc1

[ "MIT" ]

null

# Fitness monday variables morning_1 = "10:00" morning_2 = "8:00" afternoon_1 = "13:00" afternoon_2 = "14:30" afternoon_3 = "15:30" afternoon_4 = "17:55" evening_1 = "20:30" evening_2 = "21:10" date_announce = [1, 2, 3, 4, 5] image_file_list = [ 'Exercise_Three.png', 'Exercise_Two_2.png' ] ...

31.085714

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false

0

null

0

null

0

1

0

83ca8eae1114abccb3186c9a6251ba6c788bcf35

6,559

py

Python

Image_Content_Analysis/deeplab-pytorch-master/labelImsTest.py

PonceLab/as-simple-as-possible

a4093651f226d749b204c48b623acb28221c3bc2

[ "MIT" ]

1

2021-04-16T02:08:39.000Z

Image_Content_Analysis/deeplab-pytorch-master/labelImsTest.py

PonceLab/as-simple-as-possible

a4093651f226d749b204c48b623acb28221c3bc2

[ "MIT" ]

1

2021-07-27T16:17:41.000Z

Image_Content_Analysis/deeplab-pytorch-master/labelImsTest.py

PonceLab/as-simple-as-possible

a4093651f226d749b204c48b623acb28221c3bc2

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 # # Author: Kazuto Nakashima # URL: https://kazuto1011.github.io # Date: 07 January 2019 from __future__ import absolute_import, division, print_function import click import cv2 import matplotlib import matplotlib.cm as cm import matplotlib.pyplot as plt import...

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null

0

null

0

1

0

83cb1b811a0c4db430f4a4ca89a5f71fcbd3b310

1,131

py

Python

setup.py

kvietcong/md-tangle

4170c72f7119adc62eeb75822081a6858ed3c9dc

[ "MIT" ]

14

2019-04-15T08:51:10.000Z

2022-03-25T20:37:28.000Z

setup.py

kvietcong/md-tangle

4170c72f7119adc62eeb75822081a6858ed3c9dc

[ "MIT" ]

4

2019-03-09T22:02:50.000Z

2021-08-24T21:03:48.000Z

setup.py

kvietcong/md-tangle

4170c72f7119adc62eeb75822081a6858ed3c9dc

[ "MIT" ]

3

2020-12-24T05:23:53.000Z

2022-03-23T14:00:44.000Z

import setuptools import md_tangle with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name=md_tangle.__title__, version=md_tangle.__version__, license=md_tangle.__license__, author=md_tangle.__author__, author_email=md_tangle.__author_email__, description="Ge...

31.416667

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116

1,131

6.017241

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0.103152

0.10745

0.08596

0

0.002265

0.219275

1,131

35

77

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0

0.402299

0

1

0

false

0

0.060606

0

0.060606

0

null

0

null

0

1

0

83cb7ebba4b89b28bb78615faadb44744d2cc3e7

3,658

py

Python

src/dvi/bayes_models.py

luoyan407/predict_trustworthiness

8f394fc511b9aa31a766a30f0e1b059481aa5f76

[ "MIT" ]

5

2021-10-04T06:11:21.000Z

2022-02-22T17:57:43.000Z

src/dvi/bayes_models.py

luoyan407/predict_trustworthiness

8f394fc511b9aa31a766a30f0e1b059481aa5f76

[ "MIT" ]

null

src/dvi/bayes_models.py

luoyan407/predict_trustworthiness

8f394fc511b9aa31a766a30f0e1b059481aa5f76

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from .bayes_layers import VariationalLinearCertainActivations, VariationalLinearReLU from .variables import GaussianVar class MLP(nn.Module): def __init__(self, x_dim, y_dim, hidden_size=None): super(MLP, self).__init__() self.siz...

37.71134

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0.310634

0

0.012936

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3,658

96

125

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0.45

0

null

0

null

0

1

0

83cfd9aa79927b2baa0758f343509a236b7d9e4c

393

py

Python

bai01/keocatgiay.py

YtalYa/CSx101-A1-2021-02

5d95faa483c7a98d8ea75fb3a1720c12e1c1e727

[ "MIT" ]

null

bai01/keocatgiay.py

YtalYa/CSx101-A1-2021-02

5d95faa483c7a98d8ea75fb3a1720c12e1c1e727

[ "MIT" ]

null

bai01/keocatgiay.py

YtalYa/CSx101-A1-2021-02

5d95faa483c7a98d8ea75fb3a1720c12e1c1e727

[ "MIT" ]

null

#!/usr/bin/python3 # from time import time # from math import sqrt # with open("inp.txt", "r") as f: # a, b = list(i for i in f.read().split()) a, b = input().split() # print(a,b,c, type(a), type(int(a))) a = int(a) b = int(b) # st = time() # ----- s1 = a * (a - 1) // 2 cuoi = b - 2 dau = b - a s2 = (dau + cuoi) *...

17.086957

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393

2.702703

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0.03

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0.033223

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0.544529

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false

0

0.111111

0

null

0

null

0

1

0

83d111ca41c3bb0510b5e6661f1236eaf7537220

576

py

Python

msort/check/age.py

leighmacdonald/msort

b9182d7e3f01ffdb85229dd6e74ad270c766a2d8

[ "MIT" ]

4

2015-02-22T04:27:23.000Z

2021-11-30T14:39:10.000Z

msort/check/age.py

leighmacdonald/msort

b9182d7e3f01ffdb85229dd6e74ad270c766a2d8

[ "MIT" ]

null

msort/check/age.py

leighmacdonald/msort

b9182d7e3f01ffdb85229dd6e74ad270c766a2d8

[ "MIT" ]

null

""" Module to scan for empty folders and directories """ from time import time from msort.check import BaseCheck, CheckSkip class AgeCheck(BaseCheck): """ A simple checker which will validate a file or folders age. """ def __call__(self, section, path): if self.conf.getboolean('minimum_age', '...

30.315789

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576

4.8

0.626667

0.083333

0

0.013889

0.25

576

18

97

32

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0.1875

0

0.182432

0

1

0.111111

false

0

0.222222

0

0.444444

0

null

0

null

0

1

0

83d316b3fd73a29aececfa45fc1d41b8ed48ae12

5,141

py

Python

scripts/component_graph/server/fpm/package_manager.py

winksaville/Fuchsia

a0ec86f1d51ae8d2538ff3404dad46eb302f9b4f

[ "BSD-3-Clause" ]

3

2020-08-02T04:46:18.000Z

2020-08-07T10:10:53.000Z

scripts/component_graph/server/fpm/package_manager.py

winksaville/Fuchsia

a0ec86f1d51ae8d2538ff3404dad46eb302f9b4f

[ "BSD-3-Clause" ]

null

scripts/component_graph/server/fpm/package_manager.py

winksaville/Fuchsia

a0ec86f1d51ae8d2538ff3404dad46eb302f9b4f

[ "BSD-3-Clause" ]

1

2020-08-07T10:11:49.000Z

#!/usr/bin/env python3 # Copyright 2019 The Fuchsia Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """PackageManager provides an interface to the JSON FPM API. The PackageManager interface provides a simple way to retrieve data from t...

40.480315

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5,141

4.881141

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0.090909

0.067532

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0.840766

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0

0.311111

0

null

0

null

0

1

0

83d375aa877a85c2432fbed5fdd969dd8542a727

977

py

Python

D01/main.py

itscassie/advent-of-code-2021

731f7b8593e827de7d098f311ab19813f3f1a38d

[ "MIT" ]

null

D01/main.py

itscassie/advent-of-code-2021

731f7b8593e827de7d098f311ab19813f3f1a38d

[ "MIT" ]

null

D01/main.py

itscassie/advent-of-code-2021

731f7b8593e827de7d098f311ab19813f3f1a38d

[ "MIT" ]

null

""" Solve 2021 Day 1: Sonar Sweep Problem """ def solver_problem1(inputs): """ Count the number of increasement from given list """ num_increased = 0 for i in range(1, len(inputs)): if inputs[i] > inputs[i - 1]: num_increased += 1 return num_increased def solver_problem2(...

34.892857

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27

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false

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0.117647

0

null

0

null

0

1

0

83d3b34c981cd51adb859cdd0943e06deba009df

928

py

Python

tests/test_power_converter.py

LauWien/smooth

3d2ee96e3c2b2f9d5d805da1a920748f2dbbd538

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

5

2019-10-15T15:56:35.000Z

2021-02-04T10:11:31.000Z

tests/test_power_converter.py

LauWien/smooth

3d2ee96e3c2b2f9d5d805da1a920748f2dbbd538

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

121

2020-01-06T14:32:30.000Z

2021-09-23T11:26:11.000Z

tests/test_power_converter.py

LauWien/smooth

3d2ee96e3c2b2f9d5d805da1a920748f2dbbd538

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

6

2019-10-21T08:36:05.000Z

2021-03-26T10:37:17.000Z

from smooth.components.component_power_converter import PowerConverter import oemof.solph as solph def test_init(): power_converter = PowerConverter({}) params = {"efficiency": 0, "output_power_max": 100} power_converter = PowerConverter(params) assert power_converter.efficiency == params["efficiency"...

33.142857

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0.710129

111

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5.63964

0.315315

0.15655

0.134185

0.108626

0

0.009126

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928

27

74

34.37037

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false

0

0.090909

0

0.181818

0

null

0

null

0

1

0

83d597052cf5a96babe41243ddbe009226025de6

2,094

py

Python

compecon/demos/demapp06.py

daniel-schaefer/CompEcon-python

d3f66e04a7e02be648fc5a68065806ec7cc6ffd6

[ "MIT" ]

23

2016-12-14T13:21:27.000Z

2020-08-23T21:04:34.000Z

compecon/demos/demapp06.py

daniel-schaefer/CompEcon-python

d3f66e04a7e02be648fc5a68065806ec7cc6ffd6

[ "MIT" ]

1

2017-09-10T04:48:54.000Z

2018-03-31T01:36:46.000Z

compecon/demos/demapp06.py

daniel-schaefer/CompEcon-python

d3f66e04a7e02be648fc5a68065806ec7cc6ffd6

[ "MIT" ]

13

2017-02-25T08:10:38.000Z

2020-05-15T09:49:16.000Z

from demos.setup import np, plt from compecon import BasisChebyshev, BasisSpline from compecon.tools import nodeunif __author__ = 'Randall' # DEMAPP06 Chebychev and cubic spline derivative approximation errors # Function to be approximated def f(x): g = np.zeros((3, x.size)) g[0], g[1], g[2] = np.exp(-x),...

26.506329

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0.608883

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2,094

4.194719

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83d5ab6a69ea7c486e04c2f09093c01b18d52c8b

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py

Python

v3_inc_mem_dropout_dqn_model.py

kucharzyk-sebastian/aigym_dqn

eef88dafce3f2a1e13ab91a92089ea6a6c359cd6

[ "MIT" ]

2

2021-03-25T17:55:58.000Z

2021-07-24T14:43:24.000Z

v3_inc_mem_dropout_dqn_model.py

kucharzyk-sebastian/aigym_dqn

eef88dafce3f2a1e13ab91a92089ea6a6c359cd6

[ "MIT" ]

null

v3_inc_mem_dropout_dqn_model.py

kucharzyk-sebastian/aigym_dqn

eef88dafce3f2a1e13ab91a92089ea6a6c359cd6

[ "MIT" ]

null

import random import gym import numpy as np from collections import deque from keras.models import Sequential from keras.layers import Dense, Dropout from keras.optimizers import Adam import tensorflow as tf import os import logging os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' logging.getLogger('tensorflow').disabled = Tr...

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83d86b44c36b2efbdda4224e3eee5b832e8c3e4e

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py

Python

stock_quantity_history_location/tests/test_stock_quantity_history_location.py

NextERP-Romania/addons_extern

d08f428aeea4cda1890adfd250bc359bda0c33f3

[ "Apache-2.0" ]

null

stock_quantity_history_location/tests/test_stock_quantity_history_location.py

NextERP-Romania/addons_extern

d08f428aeea4cda1890adfd250bc359bda0c33f3

[ "Apache-2.0" ]

null

stock_quantity_history_location/tests/test_stock_quantity_history_location.py

NextERP-Romania/addons_extern

d08f428aeea4cda1890adfd250bc359bda0c33f3

[ "Apache-2.0" ]

null

# Copyright 2019 ForgeFlow S.L. # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). from odoo.tests.common import SavepointCase class TestStockQuantityHistoryLocation(SavepointCase): @classmethod def setUpClass(cls): super(TestStockQuantityHistoryLocation, cls).setUpClass() cls.su...

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83d96b48773397f017510e5831d9b5aab1d08ad6

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py

Python

src/haddock/core/cns_paths.py

sverhoeven/haddock3

d863106f21ebc128f18c6d73a0d15b97824d050c

[ "Apache-2.0" ]

null

src/haddock/core/cns_paths.py

sverhoeven/haddock3

d863106f21ebc128f18c6d73a0d15b97824d050c

[ "Apache-2.0" ]

null

src/haddock/core/cns_paths.py

sverhoeven/haddock3

d863106f21ebc128f18c6d73a0d15b97824d050c

[ "Apache-2.0" ]

null

""" Path to CNS-related files. Most paths are defined by dictionaries that gather several related paths. Here, instead of defining the dictionaries with static paths, we have functions that create those dict-containing paths dynamically. The default values are defined by: - axis - tensors - translation_vectors - wate...

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null

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null

0

1

0

83d9e4d213f9057ac120341c7210734a02cf3aa5

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py

Python

src/reanalysis_dbns/utils/__init__.py

azedarach/reanalysis-dbns

160f405762fb33cfde38b1d3d63cc19e0bb3d591

[ "MIT" ]

null

src/reanalysis_dbns/utils/__init__.py

azedarach/reanalysis-dbns

160f405762fb33cfde38b1d3d63cc19e0bb3d591

[ "MIT" ]

null

src/reanalysis_dbns/utils/__init__.py

azedarach/reanalysis-dbns

160f405762fb33cfde38b1d3d63cc19e0bb3d591

[ "MIT" ]

null

""" Provides helper routines for reanalysis DBNs study. """ # License: MIT from __future__ import absolute_import from .computation import (calc_truncated_svd, downsample_data, meridional_mean, pattern_correlation, select_lat_band, select...

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83db648d31e6571eb460e05dda3b0b88c276583d

2,364

py

Python

generator/src/googleapis/codegen/utilities/json_expander.py

romulobusatto/google-api-php-client-services

7f3d938a1e4b364afa633b5ba13a0d3c9bc156bf

[ "Apache-2.0" ]

709

2018-09-13T01:13:59.000Z

2022-03-31T10:28:41.000Z

generator/src/googleapis/codegen/utilities/json_expander.py

romulobusatto/google-api-php-client-services

7f3d938a1e4b364afa633b5ba13a0d3c9bc156bf

[ "Apache-2.0" ]

1,351

2018-10-12T23:07:12.000Z

2022-03-05T09:25:29.000Z

generator/src/googleapis/codegen/utilities/json_expander.py

romulobusatto/google-api-php-client-services

7f3d938a1e4b364afa633b5ba13a0d3c9bc156bf

[ "Apache-2.0" ]

307

2018-09-04T20:15:31.000Z

2022-03-31T09:42:39.000Z

#!/usr/bin/python2.7 # Copyright 2012 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requi...

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null

0

null

0

1

0

83dda5970adb161d516652e3bbdec232d2bc568b

34,005

py

Python

main5.py

LinXueyuanStdio/MyTransE

971901757aba6af22fc2791b5bb32028390b9625

[ "Apache-2.0" ]

null

main5.py

LinXueyuanStdio/MyTransE

971901757aba6af22fc2791b5bb32028390b9625

[ "Apache-2.0" ]

null

main5.py

LinXueyuanStdio/MyTransE

971901757aba6af22fc2791b5bb32028390b9625

[ "Apache-2.0" ]

1

2020-10-11T02:22:33.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import _thread import sys import time from math import exp from random import random from typing import List, Tuple, Set from scipy import spatial import numpy as np import torch from torch import nn from torc...

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null

0

null

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1

0

83deb844d22e41b2c14e852a19602c5b2980d2b2

25,395

py

Python

cogs/profiles.py

Greenfoot5/BattleBot

f4318124bb85786c3d0ff562132121c382445c36

[ "MIT" ]

2

2020-01-13T22:58:22.000Z

2020-02-19T16:47:17.000Z

cogs/profiles.py

Greenfoot5/BattleBot

f4318124bb85786c3d0ff562132121c382445c36

[ "MIT" ]

29

2020-01-13T23:30:03.000Z

2020-06-26T18:08:01.000Z

cogs/profiles.py

Greenfoot5/BattleBot

f4318124bb85786c3d0ff562132121c382445c36

[ "MIT" ]

2

2020-01-15T00:20:10.000Z

2020-02-18T00:02:55.000Z

import discord import time import random import datetime import asyncio import json import config from discord.ext import commands from data.data_handler import data_handler from itertools import chain from collections import OrderedDict def gainedRP(player, gained_rp): if player['Level']['timeOfNextEarn'] > time...

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null

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null

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1

0

83df6ece272b6dd9b07c901d59a3ab3e529c228e

1,196

py

Python

bloom/editor/ror_constants.py

thomasrogers03/bloom

5d49c18a241216aca354aa79971940691e6f33b4

[ "Apache-2.0" ]

9

2020-11-22T03:04:52.000Z

2022-01-17T15:36:25.000Z

bloom/editor/ror_constants.py

thomasrogers03/bloom

5d49c18a241216aca354aa79971940691e6f33b4

[ "Apache-2.0" ]

null

bloom/editor/ror_constants.py

thomasrogers03/bloom

5d49c18a241216aca354aa79971940691e6f33b4

[ "Apache-2.0" ]

null

# Copyright 2020 Thomas Rogers # SPDX-License-Identifier: Apache-2.0 LOWER_LINK_TAG = 6 UPPER_LINK_TAG = 7 UPPER_WATER_TAG = 9 LOWER_WATER_TAG = 10 UPPER_STACK_TAG = 11 LOWER_STACK_TAG = 12 UPPER_GOO_TAG = 13 LOWER_GOO_TAG = 14 LOWER_LINK_TYPES = {LOWER_LINK_TAG, LOWER_WATER_TAG, LOWER_STACK_TAG, LOWER_GOO_TAG} UP...

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null

0

null

0

1

0

83e3a8eb149951bf1ec4846a449c1ac8b36faf3a

6,107

py

Python

tests/validation/tests/v3_api/test_sbx_custom_filter.py

sambabox/rancher

ccb6b40e5c8bb183dbe20f5a099513eb623ed806

[ "Apache-2.0" ]

null

tests/validation/tests/v3_api/test_sbx_custom_filter.py

sambabox/rancher

ccb6b40e5c8bb183dbe20f5a099513eb623ed806

[ "Apache-2.0" ]

null

tests/validation/tests/v3_api/test_sbx_custom_filter.py

sambabox/rancher

ccb6b40e5c8bb183dbe20f5a099513eb623ed806

[ "Apache-2.0" ]

null

from .common import * # NOQA import requests AUTH_PROVIDER = os.environ.get('RANCHER_AUTH_PROVIDER', "") ''' Prerequisite: Enable SBX without TLS, and using testuser1 as admin user. Description: In this test, we are testing the customized user and group search filter functionalities. 1) For customized user search...

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null

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1

0

83e3deec67e89aa7e42ab0f38a20a3246b563ad9

1,551

py

Python

official/cv/ADNet/export_model.py

leelige/mindspore

5199e05ba3888963473f2b07da3f7bca5b9ef6dc

[ "Apache-2.0" ]

77

2021-10-15T08:32:37.000Z

2022-03-30T13:09:11.000Z

official/cv/ADNet/export_model.py

leelige/mindspore

5199e05ba3888963473f2b07da3f7bca5b9ef6dc

[ "Apache-2.0" ]

3

2021-10-30T14:44:57.000Z

2022-02-14T06:57:57.000Z

official/cv/ADNet/export_model.py

leelige/mindspore

5199e05ba3888963473f2b07da3f7bca5b9ef6dc

[ "Apache-2.0" ]

24

2021-10-15T08:32:45.000Z

2022-03-24T18:45:20.000Z

# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...

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null

0

null

0

1

0

83e5340e1845145c339f0d7b935ed161bcb52088

566

py

Python

ipaqe_provision_hosts/backend/loader.py

apophys/idm-prepare-hosts

8075600cab44a1b0c4dbe6fe14a8235725eb06d1

[ "MIT" ]

1

2017-04-04T14:35:57.000Z

ipaqe_provision_hosts/backend/loader.py

apophys/idm-prepare-hosts

8075600cab44a1b0c4dbe6fe14a8235725eb06d1

[ "MIT" ]

null

ipaqe_provision_hosts/backend/loader.py

apophys/idm-prepare-hosts

8075600cab44a1b0c4dbe6fe14a8235725eb06d1

[ "MIT" ]

null

# Author: Milan Kubik, 2017 """Backend entry point manipulation""" import logging from pkg_resources import iter_entry_points RESOURCE_GROUP = "ipaqe_provision_hosts.backends" log = logging.getLogger(__name__) def load_backends(exclude=()): """Load all registered modules""" log.debug("Loading entry points...

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0

null

0

null

0

1

0

83e738fd60db75ae5d34cea420004504804a6032

8,309

py

Python

main_tmp.py

tiffanydho/chip2probe

2c7e00796e048d39ad4da85b90bf76d021c6be1c

[ "MIT" ]

null

main_tmp.py

tiffanydho/chip2probe

2c7e00796e048d39ad4da85b90bf76d021c6be1c

[ "MIT" ]

null

main_tmp.py

tiffanydho/chip2probe

2c7e00796e048d39ad4da85b90bf76d021c6be1c

[ "MIT" ]

null

import urllib.request import os import subprocess import pandas as pd from tqdm import tqdm import sys sys.path.append("probefilter") sys.path.append("probefilter/libsvm-3.23/python") from sitesfinder.imads import iMADS from sitesfinder.imadsmodel import iMADSModel from sitesfinder.plotcombiner import PlotCombiner fr...

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null

0

null

0

1

0

83eb304b78bbd24868418bb775b73ade9aefef43

1,593

py

Python

scripts/find_guids_without_referents.py

DanielSBrown/osf.io

98dda2ac237377197acacce78274bc0a4ce8f303

[ "Apache-2.0" ]

1

2015-10-02T18:35:53.000Z

scripts/find_guids_without_referents.py

DanielSBrown/osf.io

98dda2ac237377197acacce78274bc0a4ce8f303

[ "Apache-2.0" ]

13

2020-03-24T15:29:41.000Z

2022-03-11T23:15:28.000Z

scripts/find_guids_without_referents.py

DanielSBrown/osf.io

98dda2ac237377197acacce78274bc0a4ce8f303

[ "Apache-2.0" ]

null

"""Finds Guids that do not have referents or that point to referents that no longer exist. E.g. a node was created and given a guid but an error caused the node to get deleted, leaving behind a guid that points to nothing. """ import sys from modularodm import Q from framework.guid.model import Guid from website.app ...

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4.42915

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1,593

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0

null

0

null

0

1

0

83eb4550225e76cac1d76f96f09f214fbc122c76

13,836

py

Python

test/test_app.py

IoT-Partners/Platform

ecb17ca5e3e5cf447ecb48c22bfab36b102f01b0

[ "MIT" ]

null

test/test_app.py

IoT-Partners/Platform

ecb17ca5e3e5cf447ecb48c22bfab36b102f01b0

[ "MIT" ]

null

test/test_app.py

IoT-Partners/Platform

ecb17ca5e3e5cf447ecb48c22bfab36b102f01b0

[ "MIT" ]

null

""" This script is for testing/calling in several different ways functions from QRColorChecker modules. @author: Eduard Cespedes Borràs @mail: eduard@iot-partners.com """ import unittest import hashlib import dateutil from chalicelib.server import Server import sys import json from datetime import datetime sys.pat...

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0.03125

0

null

0

null

0

1

0

83ecbdee9bb1d4607592c7d48726a571593fde4f

3,497

py

Python

test/test_config.py

beremaran/spdown

59e5ea6996be51ad015f9da6758e2ce556b9fb94

[ "MIT" ]

2

2019-08-13T15:13:58.000Z

2019-10-04T09:09:24.000Z

test/test_config.py

beremaran/spdown

59e5ea6996be51ad015f9da6758e2ce556b9fb94

[ "MIT" ]

4

2021-02-08T20:23:42.000Z

2022-03-11T23:27:07.000Z

test/test_config.py

beremaran/spdown

59e5ea6996be51ad015f9da6758e2ce556b9fb94

[ "MIT" ]

null

#!/usr/bin/env python import os import json import unittest from collections import OrderedDict from spdown.config import Config TEST_CONFIG_PATHS = OrderedDict([ ('local', 'config.json'), ('home', os.path.join( os.path.expanduser('~'), '.config', 'spdown', 'config' )) ]) TEST_CONFIG = { ...

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null

0

null

0

1

0

83ed5076917201fcac6f1e8e51002b51c7395c85

2,167

py

Python

external/emulation/tests/test_config.py

ai2cm/fv3net

e62038aee0a97d6207e66baabd8938467838cf51

[ "MIT" ]

1

2021-12-14T23:43:35.000Z

external/emulation/tests/test_config.py

ai2cm/fv3net

e62038aee0a97d6207e66baabd8938467838cf51

[ "MIT" ]

195

2021-09-16T05:47:18.000Z

2022-03-31T22:03:15.000Z

external/emulation/tests/test_config.py

ai2cm/fv3net

e62038aee0a97d6207e66baabd8938467838cf51

[ "MIT" ]

null

from emulation._emulate.microphysics import TimeMask from emulation.config import ( EmulationConfig, ModelConfig, StorageConfig, _load_nml, _get_timestep, _get_storage_hook, get_hooks, ) import emulation.zhao_carr import datetime def test_EmulationConfig_from_dict(): seconds = 60 m...

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0.045226

0.256281

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0

0.009473

0.220581

2,167

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86

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0.190476

1

0.15873

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0

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0.015873

0.238095

0

null

0

null

0

1

0

83ed572ee1b1140fe9364cb212822f09bee7de36

323

py

Python

sorting/insertion_sort.py

src24/algos

b1ac1049be6adaafedaa0572f009668e2c8d3809

[ "MIT" ]

null

sorting/insertion_sort.py

src24/algos

b1ac1049be6adaafedaa0572f009668e2c8d3809

[ "MIT" ]

null

sorting/insertion_sort.py

src24/algos

b1ac1049be6adaafedaa0572f009668e2c8d3809

[ "MIT" ]

null

from typing import List # O(n^2) def insertion_sort(arr: List[int], desc: bool = False) -> None: for i, item in enumerate(arr): if i == 0: continue j: int = i - 1 while j >= 0 and (arr[j] > item) ^ desc: arr[j + 1] = arr[j] j -= 1 arr[j + 1] = it...

23.071429

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0.081081

0

0.035897

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323

13

64

24.846154

0.723077

0.018576

0

1

0.1

false

0

0.1

0

0.2

0

null

0

null

0

1

0

83ee40ca37d52089325ca67f4f809d3e842c7b0b

8,939

py

Python

tests/test_client.py

ocefpaf/pystac-client

ddf0e0566b2b1783a4d32d3d77f9f51b80270df3

[ "Apache-2.0" ]

null

tests/test_client.py

ocefpaf/pystac-client

ddf0e0566b2b1783a4d32d3d77f9f51b80270df3

[ "Apache-2.0" ]

null

tests/test_client.py

ocefpaf/pystac-client

ddf0e0566b2b1783a4d32d3d77f9f51b80270df3

[ "Apache-2.0" ]

null

from datetime import datetime from urllib.parse import urlsplit, parse_qs from dateutil.tz import tzutc import pystac import pytest from pystac_client import Client from pystac_client.conformance import ConformanceClasses from .helpers import STAC_URLS, TEST_DATA, read_data_file class TestAPI: @pytest.mark.vcr...

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0.183824

0

null

0

null

0

1

0

83ef28442d472afe61e0a90f60e0718bf2a46056

363

py

Python

test/test_image.py

arkagogoldey/cloud_coverage_image_analysis

dde9954a27f70e77f9760455d12eeb6e458f8dba

[ "MIT" ]

1

2021-10-16T09:26:53.000Z

test/test_image.py

arkagogoldey/cloud_coverage_image_analysis

dde9954a27f70e77f9760455d12eeb6e458f8dba

[ "MIT" ]

null

test/test_image.py

arkagogoldey/cloud_coverage_image_analysis

dde9954a27f70e77f9760455d12eeb6e458f8dba

[ "MIT" ]

null

import numpy as np import random from proyecto2.image import Image class TestImage: def test_pixels(self): for _ in range(5): x = random.randrange(1920, 4368, 1) y = random.randrange(1080, 2912, 1) matrix = np.random.rand(y, x) image = Image(matrix) ...

24.2

49

0.584022

47

363

4.468085

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0.142857

0

0.080321

0.31405

363

14

50

25.928571

0.763052

0

0.090909

1

0.090909

false

0

0.272727

0

0.454545

0

null

0

null

0

1

0

83effd89a13b4f1b810c9a266a94d6710b5a3afc

2,236

py

Python

test_autolens/unit/pipeline/phase/point_source/test_phase_point_source.py

agarwalutkarsh554/PyAutoLens

72d2f5c39834446e72879fd119b591e52b36cac4

[ "MIT" ]

null

test_autolens/unit/pipeline/phase/point_source/test_phase_point_source.py

agarwalutkarsh554/PyAutoLens

72d2f5c39834446e72879fd119b591e52b36cac4

[ "MIT" ]

null

test_autolens/unit/pipeline/phase/point_source/test_phase_point_source.py

agarwalutkarsh554/PyAutoLens

72d2f5c39834446e72879fd119b591e52b36cac4

[ "MIT" ]

null

from os import path import numpy as np import pytest import autofit as af import autolens as al from autolens.mock import mock pytestmark = pytest.mark.filterwarnings( "ignore:Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of " "`arr[seq]`. In...

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0.231936

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0

0.028519

0.26297

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120

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0

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0.12

0

0.18

0

null

0

null

0

1

0

83f051af9726ef346dde4699fd1ff70473f62a92

1,737

py

Python

convert.py

lfe999/xenforo-scraper

a06dd9412658941b269889932534d071ad30367e

[ "MIT" ]

2

2021-07-30T03:11:06.000Z

2022-03-07T15:40:30.000Z

convert.py

lfe999/xenforo-scraper

a06dd9412658941b269889932534d071ad30367e

[ "MIT" ]

null

convert.py

lfe999/xenforo-scraper

a06dd9412658941b269889932534d071ad30367e

[ "MIT" ]

1

2021-07-07T16:05:07.000Z

formats = {"KiB": 1024, "KB": 1000, "MiB": 1024**2, "MB": 1000**2, "GiB": 1024**3, "GB": 1000**3, "TiB": 1024**4, "TB": 1000**4} # Converts shorthand into number of bytes, ex. 1KiB = 1024 def shortToBytes(short): if short is not None: try: for format, multiplie...

35.44898

91

0.614853

201

1,737

5.273632

0.497512

0.039623

0.045283

0.070755

0.107547

0.079245

0

0.109813

0.260794

1,737

48

92

36.1875

0.715732

0.128958

0

0.189189

0

0.112143

0

0.162162

1

0.054054

false

0

0.027027

0

0.189189

0.081081

0

null

0

null

0

1

0

83f147a88053ee096c8c450bcf0c3e2aae29aca2

12,023

py

Python

old/pro/src/GUI/lofarBFgui.py

peijin94/LOFAR-Sun-tools

23ace5a5e8c0bdaa0cbb5ab6e37f6527716d16f3

[ "MIT" ]

null

old/pro/src/GUI/lofarBFgui.py

peijin94/LOFAR-Sun-tools

23ace5a5e8c0bdaa0cbb5ab6e37f6527716d16f3

[ "MIT" ]

null

old/pro/src/GUI/lofarBFgui.py

peijin94/LOFAR-Sun-tools

23ace5a5e8c0bdaa0cbb5ab6e37f6527716d16f3

[ "MIT" ]

null

# The UI interface and analysis of the lofar solar beam from import sys # insert at 1, 0 is the script path (or '' in REPL) sys.path.insert(1, '..') from PyQt5.QtWidgets import * from PyQt5.QtGui import QIcon from PyQt5.uic import loadUi from PyQt5.QtCore import Qt import matplotlib from matplotlib.backends.backend_...

38.909385

115

0.592198

1,543

12,023

4.473104

0.219702

0.060562

0.042596

0.039119

0.455375

0.416691

0.361489

0.343234

0.327586

0.317734

0

0.019824

0.274141

12,023

308

116

39.035714

0.771055

0.026283

0

0.304167

0

0.0125

0.077818

0.009492

0

1

0.070833

false

0.004167

0.070833

0

0.145833

0.033333

0

null

0

null

0

1

0

83f17a06a8bc16cfd0111230bb492518bce41c73

2,169

py

Python

otter/api.py

sean-morris/otter-grader

72135c78a69836dbbc920e25f737d4382bee0ec1

[ "BSD-3-Clause" ]

null

otter/api.py

sean-morris/otter-grader

72135c78a69836dbbc920e25f737d4382bee0ec1

[ "BSD-3-Clause" ]

null

otter/api.py

sean-morris/otter-grader

72135c78a69836dbbc920e25f737d4382bee0ec1

[ "BSD-3-Clause" ]

null

""" """ __all__ = ["export_notebook", "grade_submission"] import os import sys import shutil import tempfile from contextlib import redirect_stdout try: from contextlib import nullcontext except ImportError: from .utils import nullcontext # nullcontext is new in Python 3.7 from .argparser import get_parser...

27.1125

102

0.664361

271

2,169

5.206642

0.494465

0.017009

0.028349

0.018427

0

0.001223

0.246196

2,169

79

103

27.455696

0.861774

0.489627

0

0.052632

0

0.054348

0

1

0.026316

false

0

0.289474

0

0.342105

0

null

0

null

0

1

0

83f1ef1dcba662400bb9b8d83a966ab6acf3c9c8

2,093

py

Python

mltraining.py

krumaska/FTIFTC

aff8a00a7a4c720801de9b2ac20ce69e9e2c561a

[ "MIT" ]

null

mltraining.py

krumaska/FTIFTC

aff8a00a7a4c720801de9b2ac20ce69e9e2c561a

[ "MIT" ]

null

mltraining.py

krumaska/FTIFTC

aff8a00a7a4c720801de9b2ac20ce69e9e2c561a

[ "MIT" ]

null

from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression from sklearn.metrics import accuracy_score import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import numpy as np import random lol = pd.read_csv('./data/sample_SilverKDA.csv') lol.drop(['Unna...

26.833333

102

0.698041

356

2,093

4.02809

0.356742

0.058577

0.066946

0.079498

0.160391

0

0.045576

0.108935

2,093

77

103

27.181818

0.723324

0

0.066667

0

0.169938

0.012925

0

1

0

false

0

0.15

0

0.15

0.183333

0

null

0

null

0

1

0

83f254257c334bebe3b34129f3e77014a18affa5

1,300

py

Python

timeboard.py

jtbarker/hiring-engineers

cd00fff1bb2be6374fc462891c3bf629e3c3ccb1

[ "Apache-2.0" ]

null

timeboard.py

jtbarker/hiring-engineers

cd00fff1bb2be6374fc462891c3bf629e3c3ccb1

[ "Apache-2.0" ]

null

timeboard.py

jtbarker/hiring-engineers

cd00fff1bb2be6374fc462891c3bf629e3c3ccb1

[ "Apache-2.0" ]

null

from datadog import initialize, api options = { 'api_key': '16ff05c7af6ed4652a20f5a8d0c609ce', 'app_key': 'e6a169b9b337355eef90002878fbf9a565e9ee77' } initialize(**options) title = "Mymetric timeboard" description = "Mymetric Timeboard" graphs = [ { "definition": { "events": [], ...

26

109

0.529231

100

1,300

6.81

0.47

0.070485

0.105727

0.110132

0.152717

0

0.054871

0.313077

1,300

50

109

26

0.707727

0

0.319149

0

0.021277

0.40123

0.162183

0

1

0

false

0

0.021277

0

0.021277

0

null

0

null

0

1

0

83f4f90a2f2418b0454a8f8ffca04dc4c58e2aca

25,414

py

Python

plugin.video.rebirth/resources/lib/modules/libtools.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

1

2019-03-05T09:38:10.000Z

plugin.video.rebirth/resources/lib/modules/libtools.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

null

plugin.video.rebirth/resources/lib/modules/libtools.py

TheWardoctor/wardoctors-repo

893f646d9e27251ffc00ca5f918e4eb859a5c8f0

[ "Apache-2.0" ]

1

2021-11-05T20:48:09.000Z

# -*- coding: utf-8 -*- ################################################################################ # | # # | ______________________________________________________________ # # | :~8a.`~888a:::::::::::::::88......88:::::::::...

43.666667

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0

1

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false

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0

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null

0

null

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