xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

d92522c94e17430f94254dced6800a868fcfd052

30,022

py

Python

transfer/trainers.py

0e4e6d01/non-parallel-text-style-transfer-using-self-attn-discriminator

c24a47cc96033cf960ed272810b9b7226f25e899

[ "Apache-2.0" ]

null

transfer/trainers.py

0e4e6d01/non-parallel-text-style-transfer-using-self-attn-discriminator

c24a47cc96033cf960ed272810b9b7226f25e899

[ "Apache-2.0" ]

null

transfer/trainers.py

0e4e6d01/non-parallel-text-style-transfer-using-self-attn-discriminator

c24a47cc96033cf960ed272810b9b7226f25e899

[ "Apache-2.0" ]

null

import os import time import csv import pickle import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data.dataloader import DataLoader from torch.nn.utils import clip_grad_norm_ as clip_grad_norm from sklearn.metrics import accuracy_score import matplotlib.pyplot as plt...

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py

Python

privatefsbot.py

l0k9j8/fstgbot

6b20d28466ecc97e09f0a3919d43a3c4d1a82357

[ "MIT" ]

null

privatefsbot.py

l0k9j8/fstgbot

6b20d28466ecc97e09f0a3919d43a3c4d1a82357

[ "MIT" ]

null

privatefsbot.py

l0k9j8/fstgbot

6b20d28466ecc97e09f0a3919d43a3c4d1a82357

[ "MIT" ]

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#!/usr/bin/env python # -*- coding: utf-8 -*- import logging logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger = logging.getLogger(__name__) from telegram import Updater from commands import history, cat, cd, get, ls, pwd, save from sett...

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py

Python

app/platform.py

edwarts/igenweb_supplier

90e03b7acdedf65ae6b338d39b067bd4d1c0eaad

[ "MIT" ]

null

app/platform.py

edwarts/igenweb_supplier

90e03b7acdedf65ae6b338d39b067bd4d1c0eaad

[ "MIT" ]

null

app/platform.py

edwarts/igenweb_supplier

90e03b7acdedf65ae6b338d39b067bd4d1c0eaad

[ "MIT" ]

null

import os from config import config def getpath(path): base_path = os.path.join(config.upload_path, 'app', 'static', 'upload') UPLOAD_LICENCE_FOLDER = os.path.join(base_path, 'licence') UPLOAD_COVER_FOLDER = os.path.join(base_path, 'cover') UPLOAD_PIECE_FOLDER = os.path.jo...

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d92ba4c735d6a176f4e2696a38a3cab4031d7e30

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py

Python

csvfit/fitpt.py

hanKo91/csvfit

0b07929235f0531ea3b21df2d550390f680edfcf

[ "MIT" ]

null

csvfit/fitpt.py

hanKo91/csvfit

0b07929235f0531ea3b21df2d550390f680edfcf

[ "MIT" ]

null

csvfit/fitpt.py

hanKo91/csvfit

0b07929235f0531ea3b21df2d550390f680edfcf

[ "MIT" ]

null

from click.exceptions import FileError from scipy.optimize import curve_fit import matplotlib.pyplot as plt from . import util import numpy as np import click import sys import csv import os def pt1(t, K, T): """ time-domain solution/formula for a first-order/pt1 system Args: t (float): time K (float): ...

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d92e5de5ecf3982b6bb7d90e259217262a07f9b5

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py

Python

wireless_emulator/cli.py

Melacon/OpenYuma_WE

f43a25cf99444c29d9fbadfe336182d60e1bc3f4

[ "Apache-2.0" ]

1

2017-02-24T09:30:21.000Z

wireless_emulator/cli.py

Melacon/OpenYuma_WE

f43a25cf99444c29d9fbadfe336182d60e1bc3f4

[ "Apache-2.0" ]

null

wireless_emulator/cli.py

Melacon/OpenYuma_WE

f43a25cf99444c29d9fbadfe336182d60e1bc3f4

[ "Apache-2.0" ]

2

2018-06-21T13:23:08.000Z

2021-04-01T06:35:16.000Z

from cmd import Cmd import sys from select import poll, POLLIN import string from subprocess import call from wireless_emulator import * from wireless_emulator.clean import cleanup class CLI(Cmd): prompt = 'WirelessTransportEmulator>' identchars = string.ascii_letters + string.digits + '_' + '-' def __in...

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d931c71fea8c07e381405bd85803e56da95fcf53

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py

Python

azulejo/test/key_binder.py

johnteslade/azulejo

3b1a35981360513b21f90d96afff10352b6363e6

[ "MIT" ]

3

2015-07-17T09:35:22.000Z

2015-11-15T00:13:32.000Z

azulejo/test/key_binder.py

johnteslade/azulejo

3b1a35981360513b21f90d96afff10352b6363e6

[ "MIT" ]

1

2015-07-17T09:36:45.000Z

2015-07-22T20:20:53.000Z

azulejo/test/key_binder.py

johnteslade/azulejo

3b1a35981360513b21f90d96afff10352b6363e6

[ "MIT" ]

null

class KeyBinderDummy(object): """Class used to allow keybindings to be caught and to be actioned.""" def __init__(self): self.bindings = [] self.saved_obj = None def bind(self, action, dispatcher, dispatcher_params): """ Bind a key press """ self.bindings.append({ ...

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d93384ace79fad1a67f4aac86155075e4bc1666a

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py

Python

code/at_offer/dynamic_programming/coding_interview47.py

zhangrong1722/interview

187a485de0774561eb843d8ee640236adda97b90

[ "Apache-2.0" ]

2

2020-01-05T07:46:20.000Z

2020-04-17T02:58:13.000Z

code/at_offer/dynamic_programming/coding_interview47.py

zhangrong1722/interview

187a485de0774561eb843d8ee640236adda97b90

[ "Apache-2.0" ]

1

2020-01-05T07:50:26.000Z

2020-04-28T03:50:08.000Z

code/at_offer/dynamic_programming/coding_interview47.py

zhangrong1722/interview

187a485de0774561eb843d8ee640236adda97b90

[ "Apache-2.0" ]

1

2020-04-18T03:58:26.000Z

""" 题目：礼物的最大价值在一个mxn的期盼的每一格都放有一个礼物每个礼物有一定的价值（价值大于0）你可以从棋盘的左上角开始拿格子里的礼物并每次向右或者向下移动一格直到达到棋盘的右下角给定一个棋盘及其上面的礼物请计算你最多能拿到多少价值的礼物思路：动态规划动态规划方程 dp[i][j]=max(dp[i-1][j],dp[i][j-1])+arr[i][j] """ class Solution: def GetGiftMaxValue(self, arr): if arr is None or len(arr) == 0: return ...

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py

Python

doubanRequest.py

speedsnail99/PythonDouban

c4a556311632c547162589220433ec59a962a2d6

[ "MIT" ]

null

doubanRequest.py

speedsnail99/PythonDouban

c4a556311632c547162589220433ec59a962a2d6

[ "MIT" ]

null

doubanRequest.py

speedsnail99/PythonDouban

c4a556311632c547162589220433ec59a962a2d6

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @File : doubanRequest.py # @Author: G # @Date : 2018/8/5 import requests url = 'https://movie.douban.com' doubanText = requests.get(url).text print(doubanText)

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py

Python

tests/shop/test_shop_views.py

Torniojaws/vortech-backend

f775a97eeae089fa720088d86fe92d40bc5d65bc

[ "MIT" ]

null

tests/shop/test_shop_views.py

Torniojaws/vortech-backend

f775a97eeae089fa720088d86fe92d40bc5d65bc

[ "MIT" ]

93

2017-09-01T22:24:10.000Z

2021-12-22T14:07:06.000Z

tests/shop/test_shop_views.py

Torniojaws/vortech-backend

f775a97eeae089fa720088d86fe92d40bc5d65bc

[ "MIT" ]

null

import json import unittest from flask_caching import Cache from app import app, db from apps.shop.models import ( ShopItems, ShopCategories, ShopItemsCategoriesMapping, ShopItemLogos, ShopItemsURLMapping ) from apps.users.models import Users, UsersAccessTokens, UsersAccessLevels, Use...

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d935132553f2baab50f6ba2b6d58b4003ca7df5b

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py

Python

pyinsar/data_import/uavsar.py

MITeaps/pyinsar

4d22e3ef90ef842d6b390074a8b5deedc7658a2b

[ "MIT" ]

8

2019-03-15T19:51:27.000Z

2022-02-16T07:27:36.000Z

pyinsar/data_import/uavsar.py

MITeaps/pyinsar

4d22e3ef90ef842d6b390074a8b5deedc7658a2b

[ "MIT" ]

1

2022-02-08T03:48:56.000Z

2022-02-09T01:33:27.000Z

pyinsar/data_import/uavsar.py

MITeaps/pyinsar

4d22e3ef90ef842d6b390074a8b5deedc7658a2b

[ "MIT" ]

2

2021-01-12T05:32:21.000Z

2021-01-13T08:35:26.000Z

# The MIT License (MIT) # Copyright (c) 2017 Massachusetts Institute of Technology # # Author: Cody Rude # This software has been created in projects supported by the US National # Science Foundation and NASA (PI: Pankratius) # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this sof...

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d936d9d6566232424e349431594f08f1e023591e

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py

Python

api/utils/responses.py

cakedan/files.gg

6d8fc06376a69809c0ae0a56ea2a842d6caddb98

[ "MIT" ]

8

2018-05-03T16:28:30.000Z

2020-02-02T12:22:36.000Z

api/utils/responses.py

cakedan/files.gg

6d8fc06376a69809c0ae0a56ea2a842d6caddb98

[ "MIT" ]

null

api/utils/responses.py

cakedan/files.gg

6d8fc06376a69809c0ae0a56ea2a842d6caddb98

[ "MIT" ]

1

2019-03-20T23:39:25.000Z

import json from urllib.parse import urlencode from flask import Response from werkzeug.http import HTTP_STATUS_CODES class ApiResponse(Response): default_status = 200 default_mimetype = 'application/json' def __init__(self, data=None, status=None, **kwargs): if data is None: if kwa...

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d937931645a0b4ee10a45ea07357635f954a0273

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py

Python

example/samgraph/multi_gpu/train_gcn.py

SJTU-IPADS/fgnn-artifacts

c96e7ec8204d767152958dc63a764466e90424fd

[ "Apache-2.0" ]

23

2022-01-25T13:28:51.000Z

2022-03-23T07:05:47.000Z

example/samgraph/multi_gpu/train_gcn.py

SJTU-IPADS/gnnlab

5c73564e4a9bd5deeff7eed0b923c115ccba34d7

[ "Apache-2.0" ]

null

example/samgraph/multi_gpu/train_gcn.py

SJTU-IPADS/gnnlab

5c73564e4a9bd5deeff7eed0b923c115ccba34d7

[ "Apache-2.0" ]

1

2022-02-28T18:48:56.000Z

import argparse import time import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import numpy as np from dgl.nn.pytorch import GraphConv import dgl.multiprocessing as mp from torch.nn.parallel import DistributedDataParallel import os import sys import samgraph.torch as sam impo...

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d93c3126662cf31eb885a0986f780983d532d782

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py

Python

src/AIC2018_iamai/ReID/ReID_CNN/logger.py

gordonjun2/CenterTrack

358f94c36ef03b8ae7d15d8a48fbf70fff937e79

[ "MIT" ]

2

2020-04-13T14:06:23.000Z

2020-06-10T08:41:28.000Z

src/AIC2018_iamai/ReID/ReID_CNN/logger.py

gordonjun2/CenterTrack

358f94c36ef03b8ae7d15d8a48fbf70fff937e79

[ "MIT" ]

null

src/AIC2018_iamai/ReID/ReID_CNN/logger.py

gordonjun2/CenterTrack

358f94c36ef03b8ae7d15d8a48fbf70fff937e79

[ "MIT" ]

null

import os import pathlib import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.cm as cm import pandas as pd from collections import OrderedDict class Logger: def __init__(self, save_dir, prefix=''): #names = ['epoch', # 'loss', 'loss...

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d93f8a137f8c8b7524ee61b15619bc1ddd81fbf9

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py

Python

src/logistic/logistic_sklearn.py

wenfengand/machine_learning_tools

7233e14ccb2cc32198ee5d73ee2c5952b5947443

[ "MIT" ]

null

src/logistic/logistic_sklearn.py

wenfengand/machine_learning_tools

7233e14ccb2cc32198ee5d73ee2c5952b5947443

[ "MIT" ]

null

src/logistic/logistic_sklearn.py

wenfengand/machine_learning_tools

7233e14ccb2cc32198ee5d73ee2c5952b5947443

[ "MIT" ]

null

import numpy as np import pandas as pd from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.preprocessing import LabelBinarizer from sklearn.linear_model.logistic import LogisticRegression from sklearn.model_selection import train_test_split, cross_val_score from sklearn.metrics import classificat...

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d941561113d1d4744ab96a504558e7c214535b01

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py

Python

code/curvature_and_offset.py

amoi9/advanced-lane-finding

334ebcee8a232e62aa54ed88190dd2333026112c

[ "MIT" ]

null

code/curvature_and_offset.py

amoi9/advanced-lane-finding

334ebcee8a232e62aa54ed88190dd2333026112c

[ "MIT" ]

null

code/curvature_and_offset.py

amoi9/advanced-lane-finding

334ebcee8a232e62aa54ed88190dd2333026112c

[ "MIT" ]

null

import numpy as np from lane_pixel_finder import find_lane_pixels ''' Calculates the curvature of polynomial functions in meters. ''' # Define conversions in x and y from pixels space to meters ym_per_pix = 30/720 # meters per pixel in y dimension xm_per_pix = 3.7/700 # meters per pixel in x dimension def measure_cur...

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d941a0519c73ad134015de68bcfb2d050dd83e9d

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py

Python

notes/23 - exceptions/basic-input-example.py

hSpiels/ICS3-Python-Notes

5cb06623d6714a62ff20550d635c1fd3f7d27ea2

[ "MIT" ]

3

2022-02-10T19:06:28.000Z

2022-03-25T17:55:56.000Z

notes/23 - exceptions/basic-input-example.py

hSpiels/ICS3-Python-Notes

5cb06623d6714a62ff20550d635c1fd3f7d27ea2

[ "MIT" ]

null

notes/23 - exceptions/basic-input-example.py

hSpiels/ICS3-Python-Notes

5cb06623d6714a62ff20550d635c1fd3f7d27ea2

[ "MIT" ]

17

2020-09-15T16:40:23.000Z

2022-03-22T17:52:32.000Z

#----------------------------------------------------------------------------- # Name: Catching Exceptions (try-except.py) # Purpose: To provide example of a simple input loop using try-catch # # Author: Mr. Brooks # Created: 01-Oct-2020 # Updated: 01-March-2021 #--------------------------------...

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d944f0a9c7214dc418886b1718145909d59eb408

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py

Python

python_examples/example_truncated_normal.py

KristerSJakobsson/pygosolnp

5a890d67782ff04f521644daeaef2f7708959e79

[ "BSL-1.0" ]

null

python_examples/example_truncated_normal.py

KristerSJakobsson/pygosolnp

5a890d67782ff04f521644daeaef2f7708959e79

[ "BSL-1.0" ]

null

python_examples/example_truncated_normal.py

KristerSJakobsson/pygosolnp

5a890d67782ff04f521644daeaef2f7708959e79

[ "BSL-1.0" ]

null

############################ # This example shows how to run pygosolnp with Truncated Normal distribution using Numpy and Scipy ############################ from typing import List, Optional # Numpy random has the PCG64 generator which according to some research is better than Mersenne Twister from numpy.random impor...

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null

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d945b415451fdc9d37b82bd626b439e042bbaee1

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py

Python

SAM/Classifiers/classifier_svm.py

lucaspuvis/SAM

159427d0b2a7fdd353b96c13085f926df096f309

[ "CC-BY-4.0" ]

3

2019-05-14T17:22:54.000Z

2020-07-05T15:39:11.000Z

SAM/Classifiers/classifier_svm.py

lucaspuvis/SAM

159427d0b2a7fdd353b96c13085f926df096f309

[ "CC-BY-4.0" ]

null

SAM/Classifiers/classifier_svm.py

lucaspuvis/SAM

159427d0b2a7fdd353b96c13085f926df096f309

[ "CC-BY-4.0" ]

null

import argparse, joblib, csv, sys, os import numpy as np import matplotlib.pyplot as plt import matplotlib.patches as mpatches import pandas as pd from mpl_toolkits.mplot3d import Axes3D from yellowbrick.text import TSNEVisualizer from sklearn.cluster import KMeans from sklearn.svm import SVC, LinearSVC from sklearn...

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py

Python

build.py

2-propanol/BTF_extractor

0ec5358504ab51aff6256b98f51d29e540012ce8

[ "Zlib" ]

1

2022-02-16T14:53:26.000Z

build.py

2-propanol/BTF_extractor

0ec5358504ab51aff6256b98f51d29e540012ce8

[ "Zlib" ]

1

2021-02-05T10:04:20.000Z

2021-04-11T13:45:01.000Z

build.py

2-propanol/BTF_extractor

0ec5358504ab51aff6256b98f51d29e540012ce8

[ "Zlib" ]

1

2021-02-04T04:22:19.000Z

import platform from setuptools import Extension import numpy from Cython.Build import cythonize compile_args = [] link_args = [] pf = platform.system() if pf == "Windows": # for MSVC compile_args = ["/std:c++14", "/DNOMINMAX", "/O2", "/openmp"] elif pf == "Darwin": # for clang compile_args = ["-std=...

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d94b812ea86c3f0c6f03bfe005b3691242fb682f

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py

Python

src/compas_plotters/artists/circleartist.py

XingxinHE/compas

d2901dbbacdaf4694e5adae78ba8f093f10532bf

[ "MIT" ]

null

src/compas_plotters/artists/circleartist.py

XingxinHE/compas

d2901dbbacdaf4694e5adae78ba8f093f10532bf

[ "MIT" ]

null

src/compas_plotters/artists/circleartist.py

XingxinHE/compas

d2901dbbacdaf4694e5adae78ba8f093f10532bf

[ "MIT" ]

null

from compas_plotters.artists import Artist from matplotlib.patches import Circle as CirclePatch # from matplotlib.transforms import ScaledTranslation __all__ = ['CircleArtist'] class CircleArtist(Artist): """""" zorder = 1000 def __init__(self, circle, linewidth=1.0, linestyle='solid', facecolor=(1.0, ...

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0

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d94bae590f7b253620b6f2a82a919c8745ff9eb2

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py

Python

SortedPriorityQueue.py

sidhu177/pythonprog

a75285e9e4d3cd6f1257b9a79dc39e49c68a695d

[ "MIT" ]

2

2019-05-01T04:32:07.000Z

2019-05-04T02:22:16.000Z

SortedPriorityQueue.py

sidhu177/pythonprog

a75285e9e4d3cd6f1257b9a79dc39e49c68a695d

[ "MIT" ]

null

SortedPriorityQueue.py

sidhu177/pythonprog

a75285e9e4d3cd6f1257b9a79dc39e49c68a695d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Sep 18 21:06:14 2018 Taken from Data Structures and Algorithms using Python """ class SortedPriorityQueue(PriorityQueueBase): def __init__(self): self._data = PositionalList() def __len__(self): return len(self._data) def add(self,ke...

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null

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1

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d94bb0c3552420db1ae043fe4832aefa03e3c1f7

14,576

py

Python

f5/utils/test/test_iapp_parser.py

jputrino/f5-common-python

64cd019eb22b0e9a49e0c49ebb05f2a23ffa0e49

[ "Apache-2.0" ]

null

f5/utils/test/test_iapp_parser.py

jputrino/f5-common-python

64cd019eb22b0e9a49e0c49ebb05f2a23ffa0e49

[ "Apache-2.0" ]

null

f5/utils/test/test_iapp_parser.py

jputrino/f5-common-python

64cd019eb22b0e9a49e0c49ebb05f2a23ffa0e49

[ "Apache-2.0" ]

null

# Copyright 2016 F5 Networks Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writi...

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null

0

null

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0

d9514413b1dc12beee51ba849953b233bcf53932

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py

Python

tests/test_redis.py

fedej/aio-rom

e84d55b84ca459b930d0cd86fd33f161cb26c7df

[ "MIT" ]

6

2021-03-22T22:12:34.000Z

2022-02-14T01:30:37.000Z

tests/test_redis.py

fedej/aio-rom

e84d55b84ca459b930d0cd86fd33f161cb26c7df

[ "MIT" ]

52

2021-02-22T16:38:27.000Z

2022-03-07T18:06:18.000Z

tests/test_redis.py

fedej/aio-rom

e84d55b84ca459b930d0cd86fd33f161cb26c7df

[ "MIT" ]

null

import os import sys from dataclasses import field from typing import List, Optional, Set, cast from unittest import skipUnless from aio_rom import Model from aio_rom.attributes import RedisModelSet if sys.version_info >= (3, 8): from unittest.async_case import IsolatedAsyncioTestCase as TestCase ASYNCTEST =...

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d95365e9560d7743acef72009c98362dad09f3a4

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py

Python

data/transcoder_evaluation_gfg/python/DYNAMIC_PROGRAMMING_SET_17_PALINDROME_PARTITIONING.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

241

2021-07-20T08:35:20.000Z

2022-03-31T02:39:08.000Z

data/transcoder_evaluation_gfg/python/DYNAMIC_PROGRAMMING_SET_17_PALINDROME_PARTITIONING.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

49

2021-07-22T23:18:42.000Z

2022-03-24T09:15:26.000Z

data/transcoder_evaluation_gfg/python/DYNAMIC_PROGRAMMING_SET_17_PALINDROME_PARTITIONING.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

71

2021-07-21T05:17:52.000Z

2022-03-29T23:49:28.000Z

# Copyright (c) 2019-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # def f_gold ( str ) : n = len ( str ) C = [ [ 0 for i in range ( n ) ] for i in range ( n ) ] P = [ [ False for i in ...

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py

Python

Algorithms/0033_Search_in_Rotated_Sorted_Array/Python/Search_in_Rotated_Sorted_Array_Solution_1.py

lht19900714/Leetcode_Solutions

dac7a038329a5c1f8a78e86cc6f49116b963f1fb

[ "MIT" ]

null

Algorithms/0033_Search_in_Rotated_Sorted_Array/Python/Search_in_Rotated_Sorted_Array_Solution_1.py

lht19900714/Leetcode_Solutions

dac7a038329a5c1f8a78e86cc6f49116b963f1fb

[ "MIT" ]

null

Algorithms/0033_Search_in_Rotated_Sorted_Array/Python/Search_in_Rotated_Sorted_Array_Solution_1.py

lht19900714/Leetcode_Solutions

dac7a038329a5c1f8a78e86cc6f49116b963f1fb

[ "MIT" ]

null

# Space: O(1) # Time: O(logn) class Solution: def search(self, nums, target): length = len(nums) if length == 0: return -1 if length == 1: return 0 if nums[0] == target else -1 # First, find out the actual end point of sorted array left, right = 0, length - 1 whil...

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null

0

1

0

d959215b82b03d107b269df9d66aba263c6dfe42

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py

Python

nxs_libs/interface/workload_manager/simple_policy.py

microsoft/nxs

b271c0637576084b36bd0bd397a673fb348913b3

[ "MIT" ]

5

2022-03-23T21:27:42.000Z

2022-03-24T19:57:27.000Z

nxs_libs/interface/workload_manager/simple_policy.py

microsoft/nxs

b271c0637576084b36bd0bd397a673fb348913b3

[ "MIT" ]

null

nxs_libs/interface/workload_manager/simple_policy.py

microsoft/nxs

b271c0637576084b36bd0bd397a673fb348913b3

[ "MIT" ]

1

2022-03-23T21:27:44.000Z

import time import numpy as np from typing import Dict, List, Tuple from nxs_libs.interface.workload_manager import ( NxsBaseWorkloadManagerPolicy, ) from nxs_types.frontend import FrontendModelPipelineWorkloadReport from nxs_types.message import ( NxsMsgPinWorkload, NxsMsgType, NxsMsgReportInputWorkloa...

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py

Python

examples/grid_convergence.py

H0R5E/SNL-Delft3D-CEC-Verify

234c0acead13c74bad2979b300671733c7b184f7

[ "MIT" ]

null

examples/grid_convergence.py

H0R5E/SNL-Delft3D-CEC-Verify

234c0acead13c74bad2979b300671733c7b184f7

[ "MIT" ]

2

2021-12-10T17:17:21.000Z

2022-02-22T00:25:15.000Z

examples/grid_convergence.py

H0R5E/SNL-Delft3D-CEC-Verify

234c0acead13c74bad2979b300671733c7b184f7

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os import uuid import platform import warnings from pathlib import Path from collections import defaultdict from dataclasses import replace import numpy as np import pandas as pd import matplotlib import matplotlib.pyplot as plt from convergence import Convergence from snl_d3d_cec_veri...

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py

Python

GLM/GLM_Model/GLM_Model_GP.py

ys7yoo/npglm

98cc040fff8a861e2d7e210fef049207f1714b2a

[ "MIT" ]

9

2020-11-20T17:43:36.000Z

2021-02-26T22:18:59.000Z

GLM/GLM_Model/GLM_Model_GP.py

ys7yoo/npglm

98cc040fff8a861e2d7e210fef049207f1714b2a

[ "MIT" ]

1

2021-02-04T13:51:17.000Z

2021-02-04T23:56:07.000Z

GLM/GLM_Model/GLM_Model_GP.py

ys7yoo/npglm

98cc040fff8a861e2d7e210fef049207f1714b2a

[ "MIT" ]

1

2020-11-22T19:36:35.000Z

import numpy as np import matplotlib.pyplot as plt import torch import scipy from GLM.GLM_Model import GLM_Model, PyTorchObj from scipy.optimize import minimize, Bounds from tqdm import tqdm class GLM_Model_GP(GLM_Model.GLM_Model): def __init__(self, params): super().__init__(params) self.kernel...

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py

Python

src/coreclr/scripts/antigen_unique_issues.py

KirillOsenkov/runtime

11742903dcc40a55e8688a1c61291459215f8ed0

[ "MIT" ]

1

2021-06-18T04:59:29.000Z

src/coreclr/scripts/antigen_unique_issues.py

KirillOsenkov/runtime

11742903dcc40a55e8688a1c61291459215f8ed0

[ "MIT" ]

1

2021-11-11T02:02:54.000Z

2021-11-13T00:05:50.000Z

src/coreclr/scripts/antigen_unique_issues.py

KirillOsenkov/runtime

11742903dcc40a55e8688a1c61291459215f8ed0

[ "MIT" ]

1

2021-12-03T00:19:45.000Z

#!/usr/bin/env python3 # ## Licensed to the .NET Foundation under one or more agreements. ## The .NET Foundation licenses this file to you under the MIT license. # ## # Title: antigen_unique_issues.py # # Notes: # # Script to identify unique issues from all partitions and print them on console. # ######################...

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py

Python

titer_model/implementation-nextstrain-augur/base/process.py

blab/dengue

5eacc47fbd77c59e7342d5be4aa81f7d3b4ff0bf

[ "CC-BY-4.0", "MIT" ]

4

2019-03-31T22:03:48.000Z

2020-06-16T21:04:24.000Z

titer_model/implementation-nextstrain-augur/base/process.py

emmahodcroft/dengue-antigenic-dynamics

5eacc47fbd77c59e7342d5be4aa81f7d3b4ff0bf

[ "CC-BY-4.0", "MIT" ]

4

2018-10-12T02:13:10.000Z

2019-07-24T02:44:53.000Z

titer_model/implementation-nextstrain-augur/base/process.py

emmahodcroft/dengue-antigenic-dynamics

5eacc47fbd77c59e7342d5be4aa81f7d3b4ff0bf

[ "CC-BY-4.0", "MIT" ]

5

2018-09-10T23:14:09.000Z

2020-12-27T20:57:34.000Z

from __future__ import division, print_function import argparse import sys, os, time, gzip, glob from collections import defaultdict from base.config import combine_configs from base.io_util import make_dir, remove_dir, tree_to_json, write_json, myopen from base.sequences_process import sequence_set from base.utils imp...

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null

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null

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1

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d9629e18c5a751f1f05e83298b1aeab4711e6438

1,777

py

Python

nodux_contabilidad/nodux_contabilidad/doctype/nodux_item_price/nodux_item_price.py

jessica-tandazo/nodux_contabilidad

a9f853e167160b1d883b937d2edbf354fd14d144

[ "MIT" ]

null

nodux_contabilidad/nodux_contabilidad/doctype/nodux_item_price/nodux_item_price.py

jessica-tandazo/nodux_contabilidad

a9f853e167160b1d883b937d2edbf354fd14d144

[ "MIT" ]

null

nodux_contabilidad/nodux_contabilidad/doctype/nodux_item_price/nodux_item_price.py

jessica-tandazo/nodux_contabilidad

a9f853e167160b1d883b937d2edbf354fd14d144

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2015, nodux and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.model.document import Document from frappe import throw, _ class NoduxItemPrice(Document): def validate(self): self.validate_ite...

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null

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0

d96823b574d707b8c5884043e9c5fc59a212d82c

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py

Python

ebr_board/database/queries.py

eugene-davis/ebr-board

f592a752e17e869a6fd35ef82398f97748dbdc78

[ "Apache-2.0" ]

null

ebr_board/database/queries.py

eugene-davis/ebr-board

f592a752e17e869a6fd35ef82398f97748dbdc78

[ "Apache-2.0" ]

4

2019-08-02T09:35:51.000Z

2019-08-05T04:45:47.000Z

ebr_board/database/queries.py

LaudateCorpus1/ebr-board

f592a752e17e869a6fd35ef82398f97748dbdc78

[ "Apache-2.0" ]

1

2021-09-14T03:58:40.000Z

""" Query functions to run against ElasticSearch """ # pylint: disable=invalid-name from ebr_connector.schema.build_results import BuildResults detailed_build_info = { "includes": [ "br_build_date_time", "br_job_name", "br_job_url_key", "br_source", "br_build_id_key", ...

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null

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null

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1

0

d96a378a19360aa836edef6494a1d0f976078638

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py

Python

src/scripts/vnet/uri/dummy_app.py

amithbraj/vpp

edf1da94dc099c6e2ab1d455ce8652fada3cdb04

[ "Apache-2.0" ]

751

2017-07-13T06:16:46.000Z

2022-03-30T09:14:35.000Z

src/scripts/vnet/uri/dummy_app.py

amithbraj/vpp

edf1da94dc099c6e2ab1d455ce8652fada3cdb04

[ "Apache-2.0" ]

63

2018-06-11T09:48:35.000Z

2021-01-05T09:11:03.000Z

src/scripts/vnet/uri/dummy_app.py

amithbraj/vpp

edf1da94dc099c6e2ab1d455ce8652fada3cdb04

[ "Apache-2.0" ]

479

2017-07-13T06:17:26.000Z

2022-03-31T18:20:43.000Z

#!/usr/bin/env python3 import socket import sys import time import argparse # action can be reflect or drop action = "drop" test = 0 def test_data (data, n_rcvd): n_read = len (data); for i in range(n_read): expected = (n_rcvd + i) & 0xff byte_got = ord (data[i]) if (byte_got != expe...

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null

0

null

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0

d96a84eccbdb4344152ec7775f2333ab5fdd6d60

2,806

py

Python

getData.py

siddsax/WD-GAN

c5f7d68394ea60760db3eacb5f059ebebef6060d

[ "BSD-3-Clause" ]

null

getData.py

siddsax/WD-GAN

c5f7d68394ea60760db3eacb5f059ebebef6060d

[ "BSD-3-Clause" ]

null

getData.py

siddsax/WD-GAN

c5f7d68394ea60760db3eacb5f059ebebef6060d

[ "BSD-3-Clause" ]

null

import torch from torch.utils import data import numpy as np import os import cv2 import torchvision.transforms as transforms from PIL import Image import random from PIL import ImageFile def get_transform(opt): transform_list = [] if opt.resize_or_crop == 'resize_and_crop': osize = [opt.loadSize_1, op...

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null

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null

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d96ff25d9d5722c19fe4236bed106b32c2d92cde

10,795

py

Python

nova/virt/powervm/tasks/network.py

zjzh/nova

7bb21723171c59b93e28f5d508c2b6df39220f13

[ "Apache-2.0" ]

1,874

2015-01-04T05:18:34.000Z

2022-03-31T03:30:28.000Z

nova/virt/powervm/tasks/network.py

woraser/nova

fc3890667e4971e3f0f35ac921c2a6c25f72adec

[ "Apache-2.0" ]

132

2017-03-27T11:31:52.000Z

2022-03-30T08:45:02.000Z

nova/virt/powervm/tasks/network.py

woraser/nova

fc3890667e4971e3f0f35ac921c2a6c25f72adec

[ "Apache-2.0" ]

1,996

2015-01-04T15:11:51.000Z

2022-03-31T11:03:13.000Z

# Copyright 2015, 2017 IBM Corp. # # 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 require...

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d9733cb8ddf1ffbcfc514f4195c8b460a2b0fff8

560

py

Python

typer-cli-python/source_code_step_2/rptodo/cli.py

syberflea/materials

54f44725b40edf00c1b523d7a85b34a85014d7eb

[ "MIT" ]

3,682

2018-05-07T19:45:24.000Z

2022-03-31T15:19:10.000Z

typer-cli-python/source_code_step_2/rptodo/cli.py

sribarrow/materials

c17c4a4d6f8487e59eac1df8c88ca92b73d6d2a5

[ "MIT" ]

148

2018-05-15T21:18:49.000Z

2022-03-21T11:25:39.000Z

typer-cli-python/source_code_step_2/rptodo/cli.py

sribarrow/materials

c17c4a4d6f8487e59eac1df8c88ca92b73d6d2a5

[ "MIT" ]

5,535

2018-05-25T23:36:08.000Z

2022-03-31T16:55:52.000Z

"""This module provides the RP To-Do CLI.""" from typing import Optional import typer from rptodo import __app_name__, __version__ app = typer.Typer() def _version_callback(value: bool) -> None: if value: typer.echo(f"{__app_name__} v{__version__}") raise typer.Exit() @app.callback() def mai...

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0.3

0

null

0

null

0

1

0

d97515b3fc95c50563dceea347d6cfbeb7c8f9bf

4,629

py

Python

surrortg/devices/relay.py

bn102/surrortg-sdk

5f51515d0fd83741b3359b9a682c0a9afc38886f

[ "MIT" ]

21

2020-11-03T23:41:56.000Z

2022-03-21T04:11:46.000Z

surrortg/devices/relay.py

bn102/surrortg-sdk

5f51515d0fd83741b3359b9a682c0a9afc38886f

[ "MIT" ]

5

2021-02-11T14:36:03.000Z

2021-07-20T11:45:07.000Z

surrortg/devices/relay.py

bn102/surrortg-sdk

5f51515d0fd83741b3359b9a682c0a9afc38886f

[ "MIT" ]

11

2020-11-13T11:14:33.000Z

2022-03-21T04:11:51.000Z

import asyncio import logging import pigpio class Relay: """Simple to use relay class implemented with pigpio :param pin: GPIO pin number :type pin: int :param on_level_low: Determines the logic level of the on-state. If set to True, the relay is on when the GPIO pin state is LOW. De...

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null

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null

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0

d976858493e0b3bdb11753531577c643cf5f3d49

8,322

py

Python

voice.py

ImPurpl3/egg

875f8105140544897e7b81af660e3da864b4cd54

[ "MIT" ]

null

voice.py

ImPurpl3/egg

875f8105140544897e7b81af660e3da864b4cd54

[ "MIT" ]

null

voice.py

ImPurpl3/egg

875f8105140544897e7b81af660e3da864b4cd54

[ "MIT" ]

1

2021-12-17T01:23:31.000Z

""" MIT License Copyright (c) 2020 ValkyriaKing711 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge...

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d977def1eab47165344401c96a3e6718cbc8e63f

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py

Python

solutions/Bulls and Cows/solution.py

nilax97/leetcode-solutions

d3c12f2b289662d199510e0431e177bbf3cda121

[ "MIT" ]

3

2021-06-06T22:03:15.000Z

2021-06-08T08:49:04.000Z

solutions/Bulls and Cows/solution.py

nilax97/leetcode-solutions

d3c12f2b289662d199510e0431e177bbf3cda121

[ "MIT" ]

null

solutions/Bulls and Cows/solution.py

nilax97/leetcode-solutions

d3c12f2b289662d199510e0431e177bbf3cda121

[ "MIT" ]

null

class Solution: def getHint(self, secret: str, guess: str) -> str: bull = 0 cow = 0 values = dict() for i in range(len(secret)): if secret[i] == guess[i]: bull += 1 elif secret[i] in values: values[secret[i]] += 1 el...

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null

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null

0

1

0

d9789ea5dc5332d1b7a15a1afc6b61a382b8814b

2,392

py

Python

tap_parquet/streams.py

berenddeboer/tap-parquet

d9c50ea92a68b7777e31ca622468e1dadd86d9ce

[ "Apache-2.0" ]

null

tap_parquet/streams.py

berenddeboer/tap-parquet

d9c50ea92a68b7777e31ca622468e1dadd86d9ce

[ "Apache-2.0" ]

4

2021-04-02T16:32:14.000Z

2021-11-09T22:54:03.000Z

tap_parquet/streams.py

berenddeboer/tap-parquet

d9c50ea92a68b7777e31ca622468e1dadd86d9ce

[ "Apache-2.0" ]

2

2021-11-09T06:44:46.000Z

2021-12-01T12:28:29.000Z

"""Stream class for tap-parquet.""" import requests from copy import deepcopy from pathlib import Path from typing import Any, Dict, Optional, Union, List, Iterable from singer_sdk.streams import Stream from singer_sdk.typing import ( ArrayType, BooleanType, DateTimeType, IntegerType, NumberType,...

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null

0

null

0

1

0

d97defe4ab7d19c2df85621955ea08007777df4a

354

py

Python

test/test_format.py

gongso1st/geopy

9252f4b12197ff3c5e3fae50d9bae74974d5d20f

[ "MIT" ]

1

2019-07-17T14:38:52.000Z

test/test_format.py

gongso1st/geopy

9252f4b12197ff3c5e3fae50d9bae74974d5d20f

[ "MIT" ]

null

test/test_format.py

gongso1st/geopy

9252f4b12197ff3c5e3fae50d9bae74974d5d20f

[ "MIT" ]

1

2020-06-03T01:42:17.000Z

import unittest from geopy.point import Point from geopy.format import format_degrees class TestFormat(unittest.TestCase): @unittest.skip("") def test_format(self): """ format_degrees """ self.assertEqual( format_degrees(Point.parse_degrees('-13', '19', 0)), ...

19.666667

64

0.584746

39

354

5.179487

0.487179

0.193069

0.049505

0

0.043651

0.288136

354

17

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0.757937

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0

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0

0.1

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0.1

false

0

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0

0.5

0

null

0

null

0

1

0

d97e9bfb4e01d1a5a972e104691a2c436b4de3ca

653

py

Python

Sorts.py

marinajacks/nowcoder

5fafb9b12f56f111737e56358016206023c8067c

[ "MIT" ]

null

Sorts.py

marinajacks/nowcoder

5fafb9b12f56f111737e56358016206023c8067c

[ "MIT" ]

null

Sorts.py

marinajacks/nowcoder

5fafb9b12f56f111737e56358016206023c8067c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sun Oct 20 20:52:56 2019 @author: 陈彪，版权所有这个是一个排序算法的总结，将所有的排序算法都重新写一遍，然后我们首先会分析算法的时间复杂度，然后简单介绍一下这些算法的原理，最后使用python实现，然后我们会使用测试案例来进行测试。 """ import random '''首先映入眼帘的就是冒泡排序，这是一个让人理解起来最简单的排序算法，这个算法的时间复杂度是O(N^2),从下面的程序中也能看出来这个算法的时间复杂度确实是O(N^2). ''' def bubble(a): for i in...

15.926829

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0.037736

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41

45

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0

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0.1875

0

null

0

null

0

1

0

d980d8c3ac914ab7b6744057703f0c8a2e3c1e3d

2,711

py

Python

nederlands.py

rec/neederlands

f5b71a768c9a51a06014a386ffafc8844943e4b2

[ "Unlicense" ]

1

2020-02-05T17:48:22.000Z

nederlands.py

rec/nederlands

f5b71a768c9a51a06014a386ffafc8844943e4b2

[ "Unlicense" ]

null

nederlands.py

rec/nederlands

f5b71a768c9a51a06014a386ffafc8844943e4b2

[ "Unlicense" ]

null

import string WIKI_BESTAND = '/Users/tom/Downloads/\ nlwiktionary-20191020-pages-articles-multistream-index.txt' WOORD_BESTAND = 'woord-frequenties.txt' SLECHT_BESTAND = 'slechte-woorden.txt' BLACKLIST = {i.strip() for i in open(SLECHT_BESTAND)} AANTAL = 1000000000000000 MIN = 4 MIN_ACHTERVOEGSEL = 4 VOORVOEGSELS = ...

20.231343

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0.54408

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2,711

4.83

0.426667

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0.017943

0.023464

0

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0.313169

2,711

133

76

20.383459

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false

0

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0.074766

0

null

0

null

0

1

0

d984472a164601e55d0346ed01540ed2b20dc88d

832

py

Python

config/tortoise.py

nythonore/fastapi-async

82f34dd421e573f96af1953cc1f72be565743df8

[ "MIT" ]

null

config/tortoise.py

nythonore/fastapi-async

82f34dd421e573f96af1953cc1f72be565743df8

[ "MIT" ]

null

config/tortoise.py

nythonore/fastapi-async

82f34dd421e573f96af1953cc1f72be565743df8

[ "MIT" ]

null

from tortoise.contrib.fastapi import register_tortoise as config_tortoise from config.settings import settings DB_URL = f'postgres://{settings.DB_USERNAME}:{settings.DB_PASSWORD}@{settings.DB_HOST}:{settings.DB_PORT}/{settings.DB_DATABASE}' TORTOISE_MODULES = ['app.example.model'] TORTOISE_ORM_MODULES = TORTOISE_MOD...

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832

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0.436782

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0

0.251202

832

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0

0.037037

0.254808

0.140625

0

1

0.037037

false

0.037037

0.074074

0

0.111111

0

null

0

null

0

1

0

d986985c57ee93c51e109add53b8920f894727ed

982

py

Python

setup.py

orange-kao/rpm-s3-mirror

4a08cdb47de33045c5e5bc8be1c5ee17bc169d56

[ "Apache-2.0" ]

null

setup.py

orange-kao/rpm-s3-mirror

4a08cdb47de33045c5e5bc8be1c5ee17bc169d56

[ "Apache-2.0" ]

4

2020-05-08T03:36:15.000Z

2022-03-31T10:51:18.000Z

setup.py

aiven/rpm-s3-mirror

55f049a92258eed3cc863135a964c10c25a3c25a

[ "Apache-2.0" ]

null

# Copyright (c) 2020 Aiven, Helsinki, Finland. https://aiven.io/ from setuptools import setup import version version = version.get_project_version("rpm_s3_mirror/version.py") setup( name="rpm_s3_mirror", packages=["rpm_s3_mirror"], version=version, description="Tool for syncing RPM repositories with ...

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d987308ee279d5897c812d0ddad5761b6c09fe3e

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py

Python

pendium/filesystem.py

LuRsT/Pendium

f71b3db987853df919c14f0be4238df00852a9a7

[ "Apache-2.0" ]

5

2015-05-07T21:26:06.000Z

2016-07-27T11:41:49.000Z

pendium/filesystem.py

LuRsT/Pendium

f71b3db987853df919c14f0be4238df00852a9a7

[ "Apache-2.0" ]

9

2017-12-21T20:22:16.000Z

2019-07-24T13:04:35.000Z

pendium/filesystem.py

LuRsT/Pendium

f71b3db987853df919c14f0be4238df00852a9a7

[ "Apache-2.0" ]

null

import codecs from logging import getLogger import os from pendium import app from pendium.plugins import IRenderPlugin from pendium.plugins import ISearchPlugin from yapsy.PluginManager import PluginManager log = getLogger(__name__) # Populate plugins lib_path = os.path.abspath(os.path.dirname(__file__)) manager =...

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d988d23ea27ce8a2b5e3d30a08db96c282196fd0

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py

Python

sabcom/helpers.py

blackrhinoabm/sabcom

ec0d9c37e11a8bd49352539f3f16ef322e1b5cf8

[ "MIT" ]

6

2020-05-21T11:42:27.000Z

2020-10-20T03:00:22.000Z

sabcom/helpers.py

blackrhinoabm/sabcom

ec0d9c37e11a8bd49352539f3f16ef322e1b5cf8

[ "MIT" ]

2

2020-04-08T17:45:37.000Z

2020-09-22T16:13:27.000Z

sabcom/helpers.py

blackrhinoabm/sabcom

ec0d9c37e11a8bd49352539f3f16ef322e1b5cf8

[ "MIT" ]

4

2020-04-10T14:18:34.000Z

2020-10-31T16:18:30.000Z

import random import numpy as np import pandas as pd import math from sklearn import preprocessing import scipy.stats as stats def edge_in_cliq(edge, nodes_in_cliq): if edge[0] in nodes_in_cliq: return True else: return False def edges_to_remove_neighbourhood(all_edges, neighbourhood_density...

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d98cbe93e213130d35e4010a52b1592965b94b18

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py

Python

src/matching/games/hospital_resident.py

drvinceknight/matching

da18fc12c880a1292a04d06824b5c17e68349e83

[ "MIT" ]

null

src/matching/games/hospital_resident.py

drvinceknight/matching

da18fc12c880a1292a04d06824b5c17e68349e83

[ "MIT" ]

null

src/matching/games/hospital_resident.py

drvinceknight/matching

da18fc12c880a1292a04d06824b5c17e68349e83

[ "MIT" ]

null

""" The HR solver and algorithm. """ from matching import Game, Matching from matching import Player as Resident from matching.players import Hospital from .util import delete_pair, match_pair class HospitalResident(Game): """ A class for solving instances of the hospital-resident assignment problem (HR). ...

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null

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d98e4516cf482bd1a8b30548c1119b56db7376b4

2,931

py

Python

solutions/rank-1/prepare_data.py

mattmotoki/ashrae-great-energy-predictor-3-solution-analysis

8a5260049d4537c57c37a78e77f2fba13c55177d

[ "MIT" ]

48

2020-03-18T11:34:49.000Z

2022-03-31T18:30:00.000Z

solutions/rank-1/prepare_data.py

mattmotoki/ashrae-great-energy-predictor-3-solution-analysis

8a5260049d4537c57c37a78e77f2fba13c55177d

[ "MIT" ]

40

2020-03-24T18:17:51.000Z

2022-03-12T00:30:30.000Z

solutions/rank-1/prepare_data.py

mattmotoki/ashrae-great-energy-predictor-3-solution-analysis

8a5260049d4537c57c37a78e77f2fba13c55177d

[ "MIT" ]

24

2020-04-18T02:52:47.000Z

2022-01-22T19:13:16.000Z

#!/usr/bin/env python # coding: utf-8 # based on public kernel https://www.kaggle.com/corochann/ashrae-feather-format-for-fast-loading import os import random import gc import tqdm import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns def prepare(root, output): train_df ...

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null

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null

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0

d98fb88b15b7a7bd1330a40dd1ecdb89f69e5b99

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py

Python

models/triangular_lattice.py

macthecadillac/Interacting-Fermions

6122d2a7e67533b28e581929995ce8e2a2ad41fc

[ "BSD-3-Clause" ]

1

2020-07-29T06:06:12.000Z

models/triangular_lattice.py

macthecadillac/Interacting-Fermions

6122d2a7e67533b28e581929995ce8e2a2ad41fc

[ "BSD-3-Clause" ]

null

models/triangular_lattice.py

macthecadillac/Interacting-Fermions

6122d2a7e67533b28e581929995ce8e2a2ad41fc

[ "BSD-3-Clause" ]

null

import copy import functools import os import numpy as np from scipy import sparse from spinsys import constructors, half, dmrg, exceptions from cffi import FFI class SiteVector(constructors.PeriodicBCSiteVector): def __init__(self, ordered_pair, Nx, Ny): super().__init__(ordered_pair, Nx, Ny) def a...

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null

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d99179f5f0c295d6288591b72b99cc96a11e545c

5,223

py

Python

python/tvm/tensor_graph/core2/nn/functional/convolution.py

QinHan-Erin/AMOS

634bf48edf4015e4a69a8c32d49b96bce2b5f16f

[ "Apache-2.0" ]

22

2022-03-18T07:29:31.000Z

2022-03-23T14:54:32.000Z

python/tvm/tensor_graph/core2/nn/functional/convolution.py

QinHan-Erin/AMOS

634bf48edf4015e4a69a8c32d49b96bce2b5f16f

[ "Apache-2.0" ]

null

python/tvm/tensor_graph/core2/nn/functional/convolution.py

QinHan-Erin/AMOS

634bf48edf4015e4a69a8c32d49b96bce2b5f16f

[ "Apache-2.0" ]

2

2022-03-18T08:26:34.000Z

2022-03-20T06:02:48.000Z

import tvm from tvm.tensor_graph.core2.graph.concrete import Compute, Tensor from .padding import zero_pad2d ###################################################################### # for functional, all states are inputs, data from inside functionals # can only be constants ##########################################...

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793f2b848c3758a8f7dae311e7d721594f8e8f09

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py

Python

setup.py

HEmile/problog

576b6fd305f72b12125111c8d4d62cf8a7bbda0f

[ "Apache-2.0" ]

189

2019-05-27T08:20:10.000Z

2022-03-28T09:29:22.000Z

setup.py

HEmile/problog

576b6fd305f72b12125111c8d4d62cf8a7bbda0f

[ "Apache-2.0" ]

60

2019-06-11T15:07:48.000Z

2022-03-25T02:31:23.000Z

setup.py

HEmile/problog

576b6fd305f72b12125111c8d4d62cf8a7bbda0f

[ "Apache-2.0" ]

33

2019-07-03T13:14:24.000Z

2022-02-20T01:07:15.000Z

#! /usr/bin/env python import sys import os version_file = os.path.join( os.path.abspath(os.path.dirname(__file__)), "problog/version.py" ) version = {} with open(version_file) as fp: exec(fp.read(), version) version = version["version"] if __name__ == "__main__" and len(sys.argv) == 1: from problog im...

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0

null

0

null

0

1

0

79423433cdcc39041c7fd83b1754e656cc596c82

3,178

py

Python

backend/api/models.py

AndyPaPaLeu/Disfactory

4afc370ae6b0d526891fce2b1fe0b9c687309ed1

[ "MIT" ]

null

backend/api/models.py

AndyPaPaLeu/Disfactory

4afc370ae6b0d526891fce2b1fe0b9c687309ed1

[ "MIT" ]

null

backend/api/models.py

AndyPaPaLeu/Disfactory

4afc370ae6b0d526891fce2b1fe0b9c687309ed1

[ "MIT" ]

null

# -*- coding: utf-8 -*- import uuid from django.conf import settings from django.contrib.gis.db import models from django.contrib.gis.geos import Point from django.contrib.postgres.fields import JSONField class Factory(models.Model): """Factories that are potential to be illegal.""" # List of fact_type & st...

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null

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7943f595c674438a1cfec4698c62343f1a8c742b

656

py

Python

infrastructure/crypto_ml/utils/_utils.py

ATCUWgithub/CryptoML

6010c5daf7d985217fa76197b29331457a60a306

[ "MIT" ]

1

2020-02-18T00:38:16.000Z

infrastructure/crypto_ml/utils/_utils.py

ATCUWgithub/CryptoML

6010c5daf7d985217fa76197b29331457a60a306

[ "MIT" ]

null

infrastructure/crypto_ml/utils/_utils.py

ATCUWgithub/CryptoML

6010c5daf7d985217fa76197b29331457a60a306

[ "MIT" ]

1

2020-02-18T00:39:12.000Z

import json as _json import datetime as _datetime def parse_timestamp(dataset, time_format="%Y-%m-%dT%H:%M:%S.000Z"): for d in dataset: d["timestamp"] = _datetime.datetime.strptime(d["timestamp"], time_format) return dataset def load_json(filename, time_format="%Y-%m-%dT%H:%M:%S.000Z"): dictionary ...

29.818182

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null

0

null

0

1

0

79442688528877f19538302cd834c0bc231e8349

959

py

Python

leetcode/two_numbers_sum.py

clnFind/DayDayAlgorithm

5644a666a3d84547d8cf00031fc2e30273cc0e9a

[ "Apache-2.0" ]

null

leetcode/two_numbers_sum.py

clnFind/DayDayAlgorithm

5644a666a3d84547d8cf00031fc2e30273cc0e9a

[ "Apache-2.0" ]

null

leetcode/two_numbers_sum.py

clnFind/DayDayAlgorithm

5644a666a3d84547d8cf00031fc2e30273cc0e9a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import copy class Solution(object): """ 给定 nums = [2, 7, 11, 15], target = 9 因为 nums[0] + nums[1] = 2 + 7 = 9 所以返回 [0, 1] """ def twoSum(self, nums, target): """ :type nums: List[int] :type target: int :rtype: List[int] """ ...

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0

null

0

null

0

1

0

794467ea5227d786240a4dc2c21fda99810bd1c3

1,162

py

Python

bpcs/bpcs_steg_decode.py

BburnN123/bpcs

f53caede7e202ce07b51890f028b9caf73a22937

[ "MIT" ]

20

2017-04-25T21:07:24.000Z

2022-03-30T11:11:47.000Z

bpcs/bpcs_steg_decode.py

BburnN123/bpcs

f53caede7e202ce07b51890f028b9caf73a22937

[ "MIT" ]

4

2016-04-06T01:19:27.000Z

2020-09-26T18:38:29.000Z

bpcs/bpcs_steg_decode.py

BburnN123/bpcs

f53caede7e202ce07b51890f028b9caf73a22937

[ "MIT" ]

12

2017-04-02T23:10:46.000Z

2022-03-21T03:43:55.000Z

import numpy as np from .logger import log from .array_grid import get_next_grid_dims from .act_on_image import ActOnImage from .array_message import write_conjugated_message_grids from .bpcs_steg import arr_bpcs_complexity def remove_message_from_vessel(arr, alpha, grid_size): messages = [] nfound, nkept, nl...

33.2

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null

0

null

0

1

0

7946dedb29967a5ff96a8d7cd312b2fd2bc51b15

6,859

py

Python

notebooks/02_crash_severity.py

jennan/crash_prediction

498b59704ed2aca61c78e4eb7c5558abe9edaffc

[ "MIT" ]

3

2020-12-07T04:07:04.000Z

2021-08-19T10:41:08.000Z

notebooks/02_crash_severity.py

jennan/crash_prediction

498b59704ed2aca61c78e4eb7c5558abe9edaffc

[ "MIT" ]

2

2020-12-10T19:12:02.000Z

2020-12-10T19:12:08.000Z

notebooks/02_crash_severity.py

jennan/crash_prediction

498b59704ed2aca61c78e4eb7c5558abe9edaffc

[ "MIT" ]

2

2021-04-14T14:32:39.000Z

2021-12-10T10:36:59.000Z

# # Exploration of the crash severity information in CAS data # # In this notebook, we will explore the severity of crashes, as it will be the # target of our predictive models. from pathlib import Path import numpy as np import pandas as pd import scipy.stats as st import matplotlib.pyplot as plt import seaborn as s...

30.896396

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null

0

null

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1

0

794737a97c176c9f701f94c89a9d3fa6ea1cba13

601

py

Python

python/cartpole1.py

lusing/mljs

4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8

[ "MIT" ]

null

python/cartpole1.py

lusing/mljs

4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8

[ "MIT" ]

null

python/cartpole1.py

lusing/mljs

4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8

[ "MIT" ]

null

import gym def cartpole(): environment = gym.make('CartPole-v1') environment.reset() for i in range(1000): # environment.render() action = environment.action_space.sample() observation, reward, done, info = environment.step(action) print("Step {}:".format(i)) print("...

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0

null

0

null

0

1

0

794855d07b967464fa463b2ba9dd7683a00f2311

3,466

py

Python

kw3pan/pancakeswap/factory/core/pancakeswap_factory.py

kkristof200/py_web3_pancakeswap

ae9dc7021b7da2365ce675f29f89e103fe44d77f

[ "MIT" ]

6

2021-05-09T12:43:37.000Z

2021-12-07T01:56:02.000Z

kw3pan/pancakeswap/factory/core/pancakeswap_factory.py

kkristof200/py_web3_pancakeswap

ae9dc7021b7da2365ce675f29f89e103fe44d77f

[ "MIT" ]

null

kw3pan/pancakeswap/factory/core/pancakeswap_factory.py

kkristof200/py_web3_pancakeswap

ae9dc7021b7da2365ce675f29f89e103fe44d77f

[ "MIT" ]

null

# ------------------------------------------------------------ Imports ----------------------------------------------------------- # # System from typing import Optional # Pip from kw3 import WrappedContract, Web3 from kw3.constants import Constants as KW3Constants # Local from ._abi import pancakeswap_factory_abi ...

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py

Python

functions_for_AirBnB.py

dalpengholic/Udacity_Boston-AirBNB-Data

ef918f4ddf8041a9f646e6fe786730f191746c2b

[ "MIT" ]

null

functions_for_AirBnB.py

dalpengholic/Udacity_Boston-AirBNB-Data

ef918f4ddf8041a9f646e6fe786730f191746c2b

[ "MIT" ]

null

functions_for_AirBnB.py

dalpengholic/Udacity_Boston-AirBNB-Data

ef918f4ddf8041a9f646e6fe786730f191746c2b

[ "MIT" ]

null

# The collection of functions for the Boston AirBnB dataset # import necessary libraries import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from pandas.tseries.holiday import USFederalHolidayCalendar as calendar #To check holidays in the U.S import time import copy def load_b...

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794b69e64ae775672890ac0f8ee3c75b24418261

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py

Python

src/junction/markdown/info_panels.py

explody/Junction

700df9385fceda00d6830816606d8854dc9cef7b

[ "MIT" ]

16

2020-04-28T07:03:26.000Z

2022-03-05T14:26:40.000Z

src/junction/markdown/info_panels.py

explody/Junction

700df9385fceda00d6830816606d8854dc9cef7b

[ "MIT" ]

14

2020-03-19T04:32:18.000Z

2021-03-05T23:54:47.000Z

src/junction/markdown/info_panels.py

explody/Junction

700df9385fceda00d6830816606d8854dc9cef7b

[ "MIT" ]

3

2021-01-19T18:39:00.000Z

2022-02-14T23:51:07.000Z

from typing import List, Any from markdown import Markdown from markdown.extensions import Extension from markdown.blockprocessors import BlockProcessor import re import xml.etree.ElementTree as etree class InfoPanelExtension(Extension): """Markdown extension for rendering the Confluence info panel macro. Only s...

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794c1314bf22e9986c1038e23ccfa6cf2ec03b66

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py

Python

ppo.py

ajleite/basic-ppo

e9d823275dda3c376e3e0f7d66e8dfb815b434d8

[ "MIT" ]

2

2020-06-27T11:44:19.000Z

2022-01-11T21:23:01.000Z

ppo.py

ajleite/basic-ppo

e9d823275dda3c376e3e0f7d66e8dfb815b434d8

[ "MIT" ]

null

ppo.py

ajleite/basic-ppo

e9d823275dda3c376e3e0f7d66e8dfb815b434d8

[ "MIT" ]

null

#!/usr/bin/python3 # Copyright 2019 Abe Leite # Based on "Proximal Policy Optimization Algorithms", Schulman et al 2017 # For the benefit of my fellow CSCI-B 659 students # While I hope that this code is helpful I will not vouch for its total accuracy; # my primary aim here is to elucidate the ideas from the paper. i...

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794c7683b545a543ae42b9c3d18137a15b824634

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py

Python

youtube_dl/views.py

Shovon588/api_collection

f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2

[ "MIT" ]

null

youtube_dl/views.py

Shovon588/api_collection

f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2

[ "MIT" ]

null

youtube_dl/views.py

Shovon588/api_collection

f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2

[ "MIT" ]

null

from pytube import YouTube from rest_framework import status from rest_framework.response import Response from rest_framework.views import APIView from .serializers import YoutubeDLSerializer from .utils import make_time, make_size class YoutubeDL(APIView): serializer_class = YoutubeDLSerializer def post(se...

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null

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794d44a2cc74842f8b8d00f81d2ce675f076304a

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py

Python

coot/data/ht100m_dataset.py

Jabb0/coot-videotext

2da20a3f3a50b69677e59869b02cbd72945913d9

[ "Apache-2.0" ]

null

coot/data/ht100m_dataset.py

Jabb0/coot-videotext

2da20a3f3a50b69677e59869b02cbd72945913d9

[ "Apache-2.0" ]

null

coot/data/ht100m_dataset.py

Jabb0/coot-videotext

2da20a3f3a50b69677e59869b02cbd72945913d9

[ "Apache-2.0" ]

null

import json import pandas as pd import numpy as np from typing import Union, List from pathlib import Path from timeit import default_timer as timer from nntrainer import data as nn_data def _time_to_seconds(time_column): return pd.to_timedelta(time_column).dt.total_seconds() class HT100MBaseDataset: """...

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null

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794d94442dfccd9fb0860ed1722ed3107bbed462

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py

Python

qiime_16s/combine_collapsed_otu_tables.py

lotrus28/TaboCom

b67d66e4c410375a9efa08c5e637301e78e9204b

[ "Apache-2.0" ]

null

qiime_16s/combine_collapsed_otu_tables.py

lotrus28/TaboCom

b67d66e4c410375a9efa08c5e637301e78e9204b

[ "Apache-2.0" ]

null

qiime_16s/combine_collapsed_otu_tables.py

lotrus28/TaboCom

b67d66e4c410375a9efa08c5e637301e78e9204b

[ "Apache-2.0" ]

null

import sys import re import pandas as pd def combine_otu_tables(path_to_files): with open(path_to_files) as a: filenames = a.read().splitlines() separated = {re.search(r'ERR\d+?(?=_)',x).group(0):pd.read_table(x, sep = '\t', index_col = 1, header = None,engine='python') for x in file...

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null

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null

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794f5243f54f0804ec162bec691a557c23883c30

773

py

Python

shared/charge_controller_tcp_driver/exemple_driver.py

EDF-Lab/EDF

3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9

[ "MIT" ]

16

2022-02-11T14:49:04.000Z

2022-03-30T07:33:45.000Z

shared/charge_controller_tcp_driver/exemple_driver.py

EDF-Lab/EDF

3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9

[ "MIT" ]

1

2022-02-16T15:23:50.000Z

2022-02-21T15:30:21.000Z

shared/charge_controller_tcp_driver/exemple_driver.py

EDF-Lab/EDF

3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9

[ "MIT" ]

1

2022-03-24T10:52:28.000Z

import sys sys.path.append("..") import time from charge_controller_tcp_driver.charge_controller_tcp_client_helper import * if __name__ == '__main__': helper = ChargeControllerTCPClientHelper("169.254.43.3", 12500) time.sleep(3) helper.set_pwm(100) print("PWM:", helper.get_pwm()) #time.sleep(10)...

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794f8be8a7920197768cc08897059ca509f8735d

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py

Python

tests/test_intent_classification.py

BatsResearch/zsl-kg

9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572

[ "Apache-2.0" ]

83

2021-08-30T02:50:37.000Z

2022-02-22T09:37:36.000Z

tests/test_intent_classification.py

BatsResearch/zsl-kg

9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572

[ "Apache-2.0" ]

2

2021-09-10T08:44:13.000Z

2022-01-23T17:33:35.000Z

tests/test_intent_classification.py

BatsResearch/zsl-kg

9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572

[ "Apache-2.0" ]

6

2021-09-10T07:09:41.000Z

2021-11-07T14:31:33.000Z

import os from typing import Text import torch import unittest import torch.nn as nn import torch.optim as optim from allennlp.models import Model from allennlp.data.vocabulary import Vocabulary from zsl_kg.class_encoders.auto_gnn import AutoGNN from zsl_kg.example_encoders.text_encoder import TextEncoder from zsl_kg...

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null

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null

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79509ae0de663c69b13b3aa40296a01c2a31c785

5,077

py

Python

chase/simulation.py

Motwg/WolfAndSheep-2019

d6c50660368661fddf88dc860caac7236a791beb

[ "MIT" ]

null

chase/simulation.py

Motwg/WolfAndSheep-2019

d6c50660368661fddf88dc860caac7236a791beb

[ "MIT" ]

null

chase/simulation.py

Motwg/WolfAndSheep-2019

d6c50660368661fddf88dc860caac7236a791beb

[ "MIT" ]

null

import csv import json import logging import math import random as ran def distance(point1, point2): logging.debug("Args: {0}".format(locals())) if type(point1) != type(point2): logging.warning("Types of given arguments are different: {0} != {1}".format(point1, point2)) logging.debug("Returns: {0}...

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null

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null

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79509e0da59087724c7ad32862f4a10871238e6b

4,518

py

Python

anchorgql/runlocal.py

vybenetwork/anchorgql

d8a8a3fa332e0076f20061689951645c0dae1642

[ "MIT" ]

1

2022-02-20T22:05:26.000Z

anchorgql/runlocal.py

vybenetwork/anchorgql

d8a8a3fa332e0076f20061689951645c0dae1642

[ "MIT" ]

null

anchorgql/runlocal.py

vybenetwork/anchorgql

d8a8a3fa332e0076f20061689951645c0dae1642

[ "MIT" ]

null

import json import subprocess import asyncio from solana.rpc.async_api import AsyncClient from solana.publickey import PublicKey from anchorpy import Program, Provider, Wallet class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKCYAN = '\033[96m' OKGREEN = '\033[92m' WARNING = '\033[93m' F...

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0

null

0

null

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0

795164e9b019d5e0233e60502428b4c2cb401ddf

4,647

py

Python

scripts/scrape_cgc.py

eklipse2009/ZX-Pokemaster

113bf2e242347b475cca9eadbae4f1b67f498466

[ "MIT" ]

8

2018-11-18T00:37:25.000Z

2020-12-06T13:17:53.000Z

scripts/scrape_cgc.py

eklipse2009/ZX-Pokemaster

113bf2e242347b475cca9eadbae4f1b67f498466

[ "MIT" ]

8

2017-08-21T10:07:58.000Z

2020-03-29T18:23:37.000Z

scripts/scrape_cgc.py

eklipse2009/ZX-Pokemaster

113bf2e242347b475cca9eadbae4f1b67f498466

[ "MIT" ]

1

2021-03-04T17:43:36.000Z

import os import glob import shutil import zipfile from functions.game_name_functions import * if (os.getcwd().endswith('scripts')): os.chdir('..') from classes.scraper import * def scrape_csscgc(): # if os.path.exists('tosec\\CSSCGC Games'): # shutil.rmtree('tosec\\CSSCGC Games') s = Scraper() ...

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null

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null

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79526a360c29da4c2b5320e1dc30a9a350d4bff9

5,249

py

Python

molar/backend/database/query.py

aspuru-guzik-group/molar

a3e0c337bd8a41c94b2c25831c95048cc7614f04

[ "BSD-3-Clause" ]

4

2021-07-20T18:49:44.000Z

2021-10-15T00:58:12.000Z

molar/backend/database/query.py

aspuru-guzik-group/molar

a3e0c337bd8a41c94b2c25831c95048cc7614f04

[ "BSD-3-Clause" ]

null

molar/backend/database/query.py

aspuru-guzik-group/molar

a3e0c337bd8a41c94b2c25831c95048cc7614f04

[ "BSD-3-Clause" ]

2

2022-01-07T17:57:42.000Z

2022-01-13T21:00:20.000Z

# std from typing import Any, Dict, List, Optional, Union # external import pkg_resources import sqlalchemy from sqlalchemy.orm import aliased, Session # molar from molar.backend import schemas from molar.backend.database.utils import sqlalchemy_to_dict INFORMATION_QUERY = open( pkg_resources.resource_filename("...

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null

0

null

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795299febd0881f339bf75a4c01b525d81a4103e

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py

Python

fa_management_server/models/role.py

Msms-NJ/fa_management_server

6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9

[ "MIT" ]

null

fa_management_server/models/role.py

Msms-NJ/fa_management_server

6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9

[ "MIT" ]

null

fa_management_server/models/role.py

Msms-NJ/fa_management_server

6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Role models.""" from dataclasses import dataclass from array import array from .database import Column, Model, SurrogatePK, db, reference_col, relationship from sqlalchemy.dialects.postgresql import ARRAY @dataclass class Role(SurrogatePK, Model): """用户角色信息表""" __tablename__ = "role...

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null

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79540db7343cd37c04169f2c2a9534f0c0ea7d5c

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py

Python

code/math_examples.py

rustam-fork/ml-course-uz

e1554d4c69bf0e421aa596d77aab65639df1ff73

[ "MIT" ]

21

2018-01-05T09:24:49.000Z

2021-04-24T03:25:25.000Z

code/math_examples.py

rustam-fork/ml-course-uz

e1554d4c69bf0e421aa596d77aab65639df1ff73

[ "MIT" ]

1

2019-11-11T18:34:53.000Z

2019-11-13T15:56:10.000Z

code/math_examples.py

rustam-fork/ml-course-uz

e1554d4c69bf0e421aa596d77aab65639df1ff73

[ "MIT" ]

13

2018-01-05T10:26:47.000Z

2022-01-25T07:48:33.000Z

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm def draw_parabola(steps=50): x = np.linspace(-4, 4, steps) plt.plot(x, x ** 2) plt.axvline(x=0, color='b', linestyle='dashed') def draw_paraboloid(steps=50): fig = plt.figure(figsize=...

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0

null

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7954a7bbe8ccac9a9d76513832ed91b4c1c715ad

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py

Python

tests/onegov/town6/test_views.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

tests/onegov/town6/test_views.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

tests/onegov/town6/test_views.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

import onegov.core import onegov.org from tests.shared import utils def test_view_permissions(): utils.assert_explicit_permissions(onegov.org, onegov.org.OrgApp) def test_notfound(client): notfound_page = client.get('/foobar', expect_errors=True) assert "Seite nicht gefunden" in notfound_page assert...

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null

0

null

0

1

0

795502273dc48fdf684fe2e0b8c17dbaab75cc3f

8,530

pyw

Python

main.pyw

Niyco/Cipher-tool

a0689daf8e8a087571d447efe6e98c206364316f

[ "MIT" ]

null

main.pyw

Niyco/Cipher-tool

a0689daf8e8a087571d447efe6e98c206364316f

[ "MIT" ]

null

main.pyw

Niyco/Cipher-tool

a0689daf8e8a087571d447efe6e98c206364316f

[ "MIT" ]

null

import tkinter as tk from tkinter import filedialog from Solve_stages import * from Text_stages import * from Analysis_stages import * from Output import * root = tk.Tk() root.title("Cipher program") root.geometry("1500x500") root.state("zoomed") #apparently windows only def getOutputText(): text = "" for sta...

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0

0.114428

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null

0

null

0

1

0

7956dd9954a869adae25776f34d9cfad6f7f2ede

1,912

py

Python

mp/data/pytorch/domain_prediction_dataset_wrapper.py

MECLabTUDA/OOD-Gen

f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e

[ "MIT" ]

null

mp/data/pytorch/domain_prediction_dataset_wrapper.py

MECLabTUDA/OOD-Gen

f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e

[ "MIT" ]

null

mp/data/pytorch/domain_prediction_dataset_wrapper.py

MECLabTUDA/OOD-Gen

f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e

[ "MIT" ]

null

from mp.data.pytorch.pytorch_dataset import PytorchDataset from mp.data.datasets.dataset import Instance import copy import torch class DomainPredictionDatasetWrapper(PytorchDataset): r"""Wraps a PytorchDataset to reuse its instances.x and replacing the labels""" def __init__(self, pytorch_ds, target_idx): ...

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0.373954

0

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0

0.454545

0

null

0

null

0

1

0

795999b8a086d2a92c7c0d0019a508d781dcdb36

4,889

py

Python

code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py

lucgiffon/psm-nets

dec43c26281febf6e5c8b8f42bfb78098ae7101d

[ "MIT" ]

1

2021-07-15T07:05:18.000Z

code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py

lucgiffon/psm-nets

dec43c26281febf6e5c8b8f42bfb78098ae7101d

[ "MIT" ]

2

2021-07-15T06:12:47.000Z

2021-07-16T10:05:36.000Z

code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py

lucgiffon/psm-nets

dec43c26281febf6e5c8b8f42bfb78098ae7101d

[ "MIT" ]

null

import pathlib import pandas as pd from palmnet.visualization.utils import get_palminized_model_and_df, get_df import matplotlib.pyplot as plt import numpy as np import logging import plotly.graph_objects as go import plotly.express as px from pprint import pprint as pprint mpl_logger = logging.getLogger('matplotlib'...

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null

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795b1f096f5aa18037e59346d95e4b832947c2de

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py

Python

spectrocrunch/sources/tests/test_polarization.py

woutdenolf/spectrocrunch

fde4b6e0f462f464ce7af6a942b355d3d8f39f77

[ "MIT" ]

3

2018-04-16T15:51:36.000Z

2019-12-16T11:21:05.000Z

spectrocrunch/sources/tests/test_polarization.py

woutdenolf/spectrocrunch

fde4b6e0f462f464ce7af6a942b355d3d8f39f77

[ "MIT" ]

null

spectrocrunch/sources/tests/test_polarization.py

woutdenolf/spectrocrunch

fde4b6e0f462f464ce7af6a942b355d3d8f39f77

[ "MIT" ]

null

# -*- coding: utf-8 -*- import unittest import cmath import numpy as np from scipy import integrate from .. import polarization from ...utils import instance from ...patch import jsonpickle class test_polarization(unittest.TestCase): def _equal_params(self, params1, params2): for k, v in params1.items()...

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null

0

1

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795b834e229f484b2777e3dde64e6efd9b1ae8d7

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py

Python

AlphaDDA1/Othello/ringbuffer.py

KazuhisaFujita/AlphaDDA

664742567883cf3e08c2c53b3bce3112b8cc0560

[ "MIT" ]

11

2021-11-13T01:43:28.000Z

2021-12-19T06:40:34.000Z

AlphaZero/Othello66/ringbuffer.py

KazuhisaFujita/AlphaDDA

664742567883cf3e08c2c53b3bce3112b8cc0560

[ "MIT" ]

null

AlphaZero/Othello66/ringbuffer.py

KazuhisaFujita/AlphaDDA

664742567883cf3e08c2c53b3bce3112b8cc0560

[ "MIT" ]

null

#--------------------------------------- #Since : 2019/04/24 #Update: 2019/07/25 # -*- coding: utf-8 -*- #--------------------------------------- import numpy as np class RingBuffer: def __init__(self, buf_size): self.size = buf_size self.buf = [] for i in range(self.size): self...

26.5

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0.34375

0

null

0

null

0

1

0

795f708e3eddaecd36d179568af03258f48e6ef1

8,202

py

Python

ANOVA.py

AngusNicolson/factorial_experiment_analysis

a499642c38cb22a2ce13b93dda82c622193e7e35

[ "MIT" ]

null

ANOVA.py

AngusNicolson/factorial_experiment_analysis

a499642c38cb22a2ce13b93dda82c622193e7e35

[ "MIT" ]

null

ANOVA.py

AngusNicolson/factorial_experiment_analysis

a499642c38cb22a2ce13b93dda82c622193e7e35

[ "MIT" ]

null

import itertools import numpy as np import matplotlib.pyplot as plt import seaborn as sns import pandas as pd from scipy.stats import f from scipy.stats import norm class ANOVA: """Analyse DOE experiments using ANOVA. NB: n > 1 for the code to work, where n is the number of repeats. Model: y = y_average i....

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8,202

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null

0

null

0

1

0

795f95b9ee59eba0d720fd1de7316678421773f4

6,010

py

Python

datmo/core/entity/snapshot.py

datmo/datmo

a456d196006b67ce56af96cb4900682eab747bef

[ "MIT" ]

331

2018-03-30T14:33:59.000Z

2022-01-10T19:43:32.000Z

datmo/core/entity/snapshot.py

KIMS-Github/datmo

a456d196006b67ce56af96cb4900682eab747bef

[ "MIT" ]

274

2018-04-08T17:12:44.000Z

2020-07-29T02:45:22.000Z

datmo/core/entity/snapshot.py

KIMS-Github/datmo

a456d196006b67ce56af96cb4900682eab747bef

[ "MIT" ]

28

2018-05-03T21:57:22.000Z

2020-12-31T04:18:42.000Z

import os from datetime import datetime from datmo.core.util.json_store import JSONStore from datmo.core.util.misc_functions import prettify_datetime, printable_object, format_table class Snapshot(): """Snapshot is an entity object to represent a version of the model. These snapshots are the building blocks ...

38.280255

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6,010

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0.235896

0.219027

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96

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0

null

0

null

0

1

0

7961d1af5a2c494ba659aefe30c177aba0152b99

3,895

py

Python

ranking/train_LM.py

yzhhome/JDQA

68e1d0259d316b3577a1f2fafa773b50f1885762

[ "MIT" ]

1

2021-12-21T10:50:21.000Z

ranking/train_LM.py

kalanile/JDQA

68e1d0259d316b3577a1f2fafa773b50f1885762

[ "MIT" ]

null

ranking/train_LM.py

kalanile/JDQA

68e1d0259d316b3577a1f2fafa773b50f1885762

[ "MIT" ]

1

2021-12-21T10:50:20.000Z

''' @Author: dengzaiyong @Date: 2021-08-21 15:16:08 @LastEditTime: 2021-08-27 19:37:08 @LastEditors: dengzaiyong @Desciption: 训练tfidf, word2vec, fasttext语言模型 @FilePath: /JDQA/ranking/train_LM.py ''' import os from collections import defaultdict from gensim import models, corpora import config import pandas as pd impo...

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null

0

null

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7962461ca47687b7819e6dc00edee38793e1d6d0

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py

Python

dao/ImageDAO.py

NEU-CSYE6225-SEC03/webservice

416cff5e3c8c88ce59333393a933ea88b3b8e2c0

[ "MIT" ]

null

dao/ImageDAO.py

NEU-CSYE6225-SEC03/webservice

416cff5e3c8c88ce59333393a933ea88b3b8e2c0

[ "MIT" ]

null

dao/ImageDAO.py

NEU-CSYE6225-SEC03/webservice

416cff5e3c8c88ce59333393a933ea88b3b8e2c0

[ "MIT" ]

1

2022-03-09T23:46:32.000Z

import uuid import datetime import pymysql from tool.Config import Config from tool.Logger import Logger class ImageDAO(object): def __init__(self, connect_pool): self.connect_pool = connect_pool async def userImageExist(self, user_id: str): selectResult = None async with self.conn...

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0

0.153846

0

null

0

null

0

1

0

7962e2d4ed65e0f87126ca65657b5d805b1ac6cf

2,363

py

Python

profiletool.py

SimpleProxy/myproject02

13d0c657e2e324af78467eb2edfae2d22669573f

[ "MIT" ]

1

2020-10-21T21:32:42.000Z

profiletool.py

kelvesc/myproject02

13d0c657e2e324af78467eb2edfae2d22669573f

[ "MIT" ]

null

profiletool.py

kelvesc/myproject02

13d0c657e2e324af78467eb2edfae2d22669573f

[ "MIT" ]

null

#!/bin/python3 # -*- coding: utf-8 -*- # file name: profiletool.py # standart libraries from time import sleep from time import process_time_ns as timer_ns # to call the respective routines import subprocess as ps # local imports import pyfactorial as pyf import mathfactorial as mtf def _vector(): return range(...

22.084112

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0.085714

0

null

0

null

0

1

0

7964d5e0d6c5bbff30057dd541992a4595176f15

760

py

Python

urmovie/views/image_view.py

xuyangliu/UR

8a3c94dd6b6f16bf233167333464c0429ad269d8

[ "Apache-2.0" ]

null

urmovie/views/image_view.py

xuyangliu/UR

8a3c94dd6b6f16bf233167333464c0429ad269d8

[ "Apache-2.0" ]

null

urmovie/views/image_view.py

xuyangliu/UR

8a3c94dd6b6f16bf233167333464c0429ad269d8

[ "Apache-2.0" ]

null

# Author:Sunny Liu from django.shortcuts import HttpResponse from django.shortcuts import render from django.shortcuts import redirect from urmovie import models from django.views.decorators.csrf import csrf_exempt import hashlib,os """ 内容简介： 1.爬虫情况下，对电影封面的添加 """ @csrf_exempt def uploadImg(request): i...

24.516129

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760

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0.08016

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0.150301

0

0.001684

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760

31

53

24.516129

0.838384

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0

0.086957

0

0.071429

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0

0.26087

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0.043478

0

null

0

null

0

1

0

7964ebe5d975dfd2d7d9cc2c69f05839abcd1197

2,983

py

Python

fastreid/layers/norm_layers/batch_re_norm2d.py

SZLSP/reid2020NAIC

d0eaee768e0be606417a27ce5ea2b3071b5a9bc2

[ "Apache-2.0" ]

2

2021-05-12T13:36:46.000Z

2021-08-15T10:35:08.000Z

fastreid/layers/norm_layers/batch_re_norm2d.py

SZLSP/reid2020NAIC

d0eaee768e0be606417a27ce5ea2b3071b5a9bc2

[ "Apache-2.0" ]

1

2021-12-28T12:49:49.000Z

fastreid/layers/norm_layers/batch_re_norm2d.py

SZLSP/reid2020NAIC

d0eaee768e0be606417a27ce5ea2b3071b5a9bc2

[ "Apache-2.0" ]

null

import torch import torch.nn as nn from torch.cuda.amp import custom_fwd class BatchReNorm2D(nn.Module): """Batch Re-Normalization Parameters num_features – C from an expected input of size (N, C, H, W) eps – a value added to the denominator for numerical stability. Default: 1e-5 momen...

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0

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0.25

0

null

0

null

0

1

0

7966f849a29e53c40e0aa168b93b3cd8e669d4ec

3,191

py

Python

Projects/Project 2/program.py

ymirthor/T-215-STY1

b888da1e88c5aa16eac03353f525e9e0b9d901df

[ "MIT" ]

null

Projects/Project 2/program.py

ymirthor/T-215-STY1

b888da1e88c5aa16eac03353f525e9e0b9d901df

[ "MIT" ]

null

Projects/Project 2/program.py

ymirthor/T-215-STY1

b888da1e88c5aa16eac03353f525e9e0b9d901df

[ "MIT" ]

null

from collections import deque as LL class VM_Manager: def __init__(self): self.s_size = 9 self.p_size = 9 self.w_size = 9 self.PM = [None] * 2**19 # PM[524288] self.D = [[None] * 2**10] * 2**9 # D[1024][512] self.free_frames = LL([i for i in range(2**10)]) ...

27.991228

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0.375949

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0.060759

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false

0

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0.021739

0

null

0

null

0

1

0

79671fc83f6656f30c6074c1b351a64eeeecad56

3,750

py

Python

src/utils/common/prediction_helper.py

Supreeth-Shetty/Projectathon---Simplified-AI

3fc26a58a9370d119811ac4e864af977c21f6c40

[ "MIT" ]

8

2021-12-23T06:05:00.000Z

2021-12-26T05:39:00.000Z

src/utils/common/prediction_helper.py

Supreeth-Shetty/Projectathon---Simplified-AI

3fc26a58a9370d119811ac4e864af977c21f6c40

[ "MIT" ]

null

src/utils/common/prediction_helper.py

Supreeth-Shetty/Projectathon---Simplified-AI

3fc26a58a9370d119811ac4e864af977c21f6c40

[ "MIT" ]

2

2021-12-23T06:10:11.000Z

2021-12-23T07:24:28.000Z

import os from flask import session from src.utils.common.common_helper import load_project_encdoing, load_project_model, load_project_pca, \ load_project_scaler, read_config from loguru import logger from from_root import from_root from src.utils.databases.mysql_helper import MySqlHelper from src.preprocessing.pre...

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0

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0.014706

0

null

0

null

0

1

0

796832284ec5beb0d93e3de2098cee7d04cbed89

18,718

py

Python

examples/connections.py

Thinker83/remote-computer-manager

1ea8353e77fc13a98625d744162f789503a8f400

[ "MIT" ]

null

examples/connections.py

Thinker83/remote-computer-manager

1ea8353e77fc13a98625d744162f789503a8f400

[ "MIT" ]

null

examples/connections.py

Thinker83/remote-computer-manager

1ea8353e77fc13a98625d744162f789503a8f400

[ "MIT" ]

null

from computer_communication_framework.base_connection import Connection import subprocess import re import datetime class BasePbs(Connection): """ This is meant to be a template to create a connection object for a standard PBS/TORQUE cluster. This inherits from the base_connect.Connection class in base_connecti...

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4.320527

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0.017456

0.029642

0.023055

0.497242

0.449238

0.397448

0.356608

0.339481

0.33133

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0.003625

0.233732

18,718

243

885

77.028807

0.843129

0.737793

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0.018132

0.028571

0

1

0.142857

false

0

0.114286

0

0.4

0.057143

0

null

0

null

0

1

0

796b67b9479d04170cd02e4d71dc7ae51ab5fc75

13,795

py

Python

src/util.py

lambertwang/mastery

772bdeb10e014391835d267069afc820a113d2b2

[ "MIT" ]

1

2017-12-01T03:30:34.000Z

src/util.py

lambertwang/mastery

772bdeb10e014391835d267069afc820a113d2b2

[ "MIT" ]

1

2017-11-13T18:46:39.000Z

src/util.py

lambertwang/mastery

772bdeb10e014391835d267069afc820a113d2b2

[ "MIT" ]

null

import random import re import json from combat import * from travel import * from pdb import set_trace def load_words(path): with open(path, 'r') as f: for line in f: clean_line = line.strip() if clean_line and not clean_line[0] == "#": yield clean_line class Mark...

35.01269

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0.58137

1,748

13,795

4.497712

0.316362

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0.0435

0.010684

0.068685

0.022132

0.007123

0

0.002654

0.289888

13,795

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175

35.101781

0.799918

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0

1

0.100575

false

0

0.020115

0.083333

0.218391

0

null

0

null

0

1

0

796c208b5ef0105c3a346b49387aabac0584232a

5,937

py

Python

soc-tools/reporting/report_splitter.py

michalk68/soc-tools

8d4c8fd53624817c1126c72d757878f305151446

[ "MIT" ]

null

soc-tools/reporting/report_splitter.py

michalk68/soc-tools

8d4c8fd53624817c1126c72d757878f305151446

[ "MIT" ]

null

soc-tools/reporting/report_splitter.py

michalk68/soc-tools

8d4c8fd53624817c1126c72d757878f305151446

[ "MIT" ]

1

2020-01-25T08:55:41.000Z

import csv import argparse import os class ReportSplitter: def __init__(self, values, columns, file, output_folder=None, verbose=False, case_insensitive=True, contains_value=False): self.values = values self.columns = columns self.file = file self.output_folder = o...

41.229167

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5,937

4.828829

0.225225

0.041045

0.041356

0.013682

0.174129

0.094527

0.044776

0.031095

0

0.343945

5,937

143

121

41.517483

0.825674

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0.144068

0

0.172223

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false

0

0.025424

0

0.127119

0.110169

0

null

0

null

0

1

0

796dec29764e9116f7092158c4657486b2e11567

1,899

py

Python

go/guru.py

x0rzkov/sublime-go

b77d78594caed017f040fe6c4168e525a563e28b

[ "MIT" ]

51

2019-08-18T18:18:42.000Z

2022-02-09T07:44:42.000Z

go/guru.py

x0rzkov/sublime-go

b77d78594caed017f040fe6c4168e525a563e28b

[ "MIT" ]

28

2019-08-19T04:10:52.000Z

2020-12-09T16:39:26.000Z

go/guru.py

localhots/sublime-go

960e72dafdb6c69d78bb5cbd88052540342517b9

[ "MIT" ]

4

2019-11-12T20:39:54.000Z

2021-07-30T09:57:32.000Z

from . import decorators from . import exec from . import log import os.path as path import sublime import time import json @decorators.thread @decorators.trace def source(view): locate(view) def call(mode, filename, region): """ Call calls guru(1) with the given `<mode>` filename and point. """ file = "...

22.879518

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0.636651

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1,899

4.405904

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0.033501

0.040201

0.030151

0.083752

0

0.007266

0.202738

1,899

82

69

23.158537

0.781374

0.087941

0

0.135593

0

0.101765

0

1

0.101695

false

0

0.118644

0

0.338983

0

null

0

null

0

1

0

796f8ea384a7f05b46370bc3b9473a2242391c4a

357

py

Python

Problems/String/1209. Remove All Adjacent Duplicates in String II.py

BYJRK/LeetCode-Solutions

008467e1717309066a519acb8623d2f84071b64a

[ "MIT" ]

null

Problems/String/1209. Remove All Adjacent Duplicates in String II.py

BYJRK/LeetCode-Solutions

008467e1717309066a519acb8623d2f84071b64a

[ "MIT" ]

null

Problems/String/1209. Remove All Adjacent Duplicates in String II.py

BYJRK/LeetCode-Solutions

008467e1717309066a519acb8623d2f84071b64a

[ "MIT" ]

null

# https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string-ii/ class Solution: def removeDuplicates(self, s: str, k: int) -> str: res = '' for c in s: res += c if res[-k:] == c * k: res = res[:-k] return res s = Solution() print(s.re...

21

76

0.537815

45

357

4.266667

0.622222

0.041667

0

0.004065

0.310924

357

16

77

22.3125

0.776423

0.207283

0

0.049822

0

1

0.1

false

0

0.3

0.1

0

null

0

null

0

1

0

797130522e525a58e85e7b3f848947aed4b21310

2,150

py

Python

detro/packages/circledet/network.py

Peiiii/detro

26d74468d7554dc20b2a2daf7ec5009302c820f2

[ "MIT" ]

null

detro/packages/circledet/network.py

Peiiii/detro

26d74468d7554dc20b2a2daf7ec5009302c820f2

[ "MIT" ]

null

detro/packages/circledet/network.py

Peiiii/detro

26d74468d7554dc20b2a2daf7ec5009302c820f2

[ "MIT" ]

null

from .resnet_backbone import resnet18 from torch import nn import torch import torch.nn.functional as F from detro.networks.components import BiFPN, Center_layer, Offset_layer, Reg_layer, Heatmap_layer from detro.networks.losslib import center_loss, distance_loss class FeatureFusionNetwork(nn.Module): def __init_...

33.59375

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0.649767

278

2,150

4.791367

0.276978

0.045045

0.051051

0.042793

0.135886

0.107357

0.076577

0

0.029679

0.232093

2,150

63

98

34.126984

0.777105

0.14186

0

0.12766

0

0.02938

0

1

0.106383

false

0

0.12766

0

0.340426

0

null

0

null

0

1

0

79714648fe909d1ef23cf1429aeb6aaa8d22155b

2,938

py

Python

home/forms.py

kana-shimmichi/Weeet

4e332107748cbf63b6c109d3e5ce968a42ed10c3

[ "BSD-3-Clause" ]

null

home/forms.py

kana-shimmichi/Weeet

4e332107748cbf63b6c109d3e5ce968a42ed10c3

[ "BSD-3-Clause" ]

9

2021-03-19T00:17:56.000Z

2022-03-12T00:17:14.000Z

home/forms.py

kana-shimmichi/Weeet

4e332107748cbf63b6c109d3e5ce968a42ed10c3

[ "BSD-3-Clause" ]

null

from django import forms from .models import MakerProfile,BuyerProfile,MstLang,MstSkill,Contact,Order,OrderMessage from register.models import User class UserForm(forms.ModelForm): class Meta: model = User fields = ('last_name', 'first_name') class MakerProfileForm(forms.ModelForm): clas...

29.676768

97

0.573179

292

2,938

5.657534

0.311644

0.072639

0.082324

0.106538

0.526029

0.389225

0.309322

0.256053

0.151332

0

0.000465

0.267529

2,938

98

29.979592

0.767193

0.002042

0

0.415584

0

0.248464

0

1

0.038961

false

0

0.038961

0

0.233766

0

null

0

null

0

1

0

7975415464bdf9086363882be5e74bf46c4eaee1

5,362

py

Python

src/simple_regression.py

haojunqiu/csc110-project

f379d66709c89e33a312fb054bc91619e0fe6a92

[ "MIT" ]

null

src/simple_regression.py

haojunqiu/csc110-project

f379d66709c89e33a312fb054bc91619e0fe6a92

[ "MIT" ]

null

src/simple_regression.py

haojunqiu/csc110-project

f379d66709c89e33a312fb054bc91619e0fe6a92

[ "MIT" ]

1

2022-01-11T04:26:48.000Z

"""CSC110 final project, main module Descriptions =============================== This module contains all the functions we used to implement the simple linear regression model. Copyright and Usage Information =============================== All forms of distribution of this code, whether as given or with any chang...

31.356725

92

0.619172

795

5,362

4.047799

0.228931

0.00808

0.041019

0.014916

0.313238

0.27253

0.223741

0.201367

0

0.02797

0.24655

5,362

170

93

31.541176

0.768564

0.397426

0

0.181818

0

0.048271

0

1

0.106061

false

0

0.075758

0

0.272727

0

null

0

null

0

1

0

797b83c4395d6b6acbe9c60dbd945372be2f9477

718

py

Python

FaceRecogEngine/recognition/urls.py

thecodacus/FaceAuth

dca6d6438426df48cd7e9c9693fa450d817f7d61

[ "Apache-2.0" ]

2

2018-09-22T18:28:33.000Z

2021-08-28T17:44:30.000Z

FaceRecogEngine/recognition/urls.py

thecodacus/FaceAuth

dca6d6438426df48cd7e9c9693fa450d817f7d61

[ "Apache-2.0" ]

null

FaceRecogEngine/recognition/urls.py

thecodacus/FaceAuth

dca6d6438426df48cd7e9c9693fa450d817f7d61

[ "Apache-2.0" ]

1

2019-06-05T15:34:59.000Z

from django.contrib import admin from django.urls import path, include from . import views from django.conf import settings app_name='recognition' urlpatterns = [ path('', views.Home.as_view(), name='home'), path('settings/', views.Home.as_view(), name='settings'), path('login/', views.UserLoginView.as_view()...

34.190476

86

0.71727

93

718

5.44086

0.365591

0.094862

0.158103

0.059289

0.075099

0

0.093315

718

20

87

35.9

0.777266

0

0.203626

0

1

0

false

0

0.266667

0

0.266667

0

null

0

null

0

1

0

797d78dc8a7e7f2b8677fa417daf060e2f5479f3

2,026

py

Python

.pre-commit/check_version.py

JPchico/aiida-lammps

8f618541784bbd6360efc653350570cf76398e83

[ "MIT" ]

7

2021-02-26T06:12:28.000Z

2022-03-27T17:06:41.000Z

.pre-commit/check_version.py

JPchico/aiida-lammps

8f618541784bbd6360efc653350570cf76398e83

[ "MIT" ]

21

2020-09-18T14:03:16.000Z

2022-02-14T10:48:40.000Z

.pre-commit/check_version.py

JPchico/aiida-lammps

8f618541784bbd6360efc653350570cf76398e83

[ "MIT" ]

5

2018-03-02T23:49:41.000Z

2020-04-17T05:35:19.000Z

"""Validate consistency of versions and dependencies. Validates consistency of setup.json and * environment.yml * version in aiida_lammps/__init__.py """ import json import os import sys import click FILENAME_SETUP_JSON = "setup.json" SCRIPT_PATH = os.path.split(os.path.realpath(__file__))[0] ROOT_DIR = os.path.j...

28.138889

118

0.661895

258

2,026

4.94186

0.418605

0.105882

0.053333

0.051765

0.123922

0.064314

0

0.002541

0.2231

2,026

71

119

28.535211

0.807497

0.304541

0

0.075

0

0.139416

0

1

0.075

false

0.025

0.125

0

0.225

0

null

0

null

0

1

0

797dc34e814424ff0892e6ac9838f4607837049a

7,062

py

Python

main.py

rorro/legacy-gauntlet

82898408acee5ddd0c629c15521c7f5f7a8982fe

[ "MIT" ]

null

main.py

rorro/legacy-gauntlet

82898408acee5ddd0c629c15521c7f5f7a8982fe

[ "MIT" ]

null

main.py

rorro/legacy-gauntlet

82898408acee5ddd0c629c15521c7f5f7a8982fe

[ "MIT" ]

null

import json import os import time from configparser import ConfigParser import discord from discord.ext import tasks, commands from dotenv import load_dotenv from datetime import datetime load_dotenv() TOKEN = os.getenv('TOKEN') CONFIG_FILE = 'config.ini' # Config config_parser = ConfigParser() config_parser.read(CO...

33.15493

125

0.717927

932

7,062

5.26824

0.177039

0.07332

0.04888

0.039104

0.468024

0.349287

0.298574

0.136456

0.117312

0

0.004889

0.160011

7,062

212

126

33.311321

0.822825

0.017842

0

0.226667

0

0.006667

0.190215

0.006206

0

1

0.013333

false

0

0.053333

0

0.14

0.013333

0

null

0

null

0

1

0

7981d5f5623d46312039f8e4c8cb2b8fbffad125

4,730

py

Python

tests/test_rtpPayload_ttml.py

bbc/rd-apmm-python-lib-rtpPayload_ttml

805d13242b44f26f38e5a9d940ee2ec4862528c3

[ "Apache-1.1" ]

null

tests/test_rtpPayload_ttml.py

bbc/rd-apmm-python-lib-rtpPayload_ttml

805d13242b44f26f38e5a9d940ee2ec4862528c3

[ "Apache-1.1" ]

null

tests/test_rtpPayload_ttml.py

bbc/rd-apmm-python-lib-rtpPayload_ttml

805d13242b44f26f38e5a9d940ee2ec4862528c3

[ "Apache-1.1" ]

null

#!/usr/bin/python # # James Sandford, copyright BBC 2020 # # 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 l...

33.785714

79

0.65074

566

4,730

5.353357

0.256184

0.047525

0.025743

0.026403

0.364026

0.246205

0.176238

0.124752

0.104951

0.066667

0

0.017099

0.233404

4,730

139

80

34.028777

0.818533

0.12389

0

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0

0.208333

1

0.166667

false

0

0.03125

0

0.208333

0

null

0

null

0

1

0