xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

4d7eddf6f9e62ec0bab631e8436135068d6e2ad3

2,251

py

Python

cmake/make_geant4_env.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

1

2020-12-24T22:00:01.000Z

cmake/make_geant4_env.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

null

cmake/make_geant4_env.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

3

2020-07-17T09:20:29.000Z

2021-03-30T16:44:18.000Z

#!/usr/bin/python ''' Produces POSIX commands to setup the environment variables for Geant4. Required command line arguments: 1: Location of geant4.sh script. 2: Version of Geant4. ''' import os import sys import re import subprocess as subp from codecs import encode,decode geant4_sh, geant4_version = sys.argv[1:] ...

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py

Python

src/python/nimbusml/internal/core/feature_extraction/image/pixelextractor.py

justinormont/NimbusML-1

110b0f9577f3eb2886897c9a0e7632b400239c8a

[ "MIT" ]

2

2019-03-01T01:22:54.000Z

2019-07-10T19:57:38.000Z

src/python/nimbusml/internal/core/feature_extraction/image/pixelextractor.py

justinormont/NimbusML-1

110b0f9577f3eb2886897c9a0e7632b400239c8a

[ "MIT" ]

null

src/python/nimbusml/internal/core/feature_extraction/image/pixelextractor.py

justinormont/NimbusML-1

110b0f9577f3eb2886897c9a0e7632b400239c8a

[ "MIT" ]

null

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. # -------------------------------------------------------------------------------------------- # - Generated by tools/entrypoint_co...

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py

Python

leetcode/17.py

1005281342/learn

c9d1e2e256842d9b4846c4870ac72e83d172b20e

[ "Apache-2.0" ]

1

2018-11-29T01:01:32.000Z

leetcode/17.py

1005281342/learn

c9d1e2e256842d9b4846c4870ac72e83d172b20e

[ "Apache-2.0" ]

null

leetcode/17.py

1005281342/learn

c9d1e2e256842d9b4846c4870ac72e83d172b20e

[ "Apache-2.0" ]

null

# # @lc app=leetcode.cn id=17 lang=python3 # # [17] 电话号码的字母组合 # # https://leetcode-cn.com/problems/letter-combinations-of-a-phone-number/description/ # # algorithms # Medium (47.70%) # Total Accepted: 18K # Total Submissions: 37.5K # Testcase Example: '"23"' # # 给定一个仅包含数字 2-9 的字符串，返回所有它能表示的字母组合。 # # 给出数字到字母的映射如下（与...

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4d831472f18b104577a3fb6f299305d975452191

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py

Python

mujoco/setup1/re_split_demo.py

EvieQ01/Learning-Feasibility-Different-Dynamics

73786b11137b8ba9840d00ec4d258c1296b0a595

[ "MIT" ]

null

mujoco/setup1/re_split_demo.py

EvieQ01/Learning-Feasibility-Different-Dynamics

73786b11137b8ba9840d00ec4d258c1296b0a595

[ "MIT" ]

null

mujoco/setup1/re_split_demo.py

EvieQ01/Learning-Feasibility-Different-Dynamics

73786b11137b8ba9840d00ec4d258c1296b0a595

[ "MIT" ]

null

import random import argparse from ast import Global from dis import dis from glob import glob from itertools import count from math import dist from logger import * import json import gym from matplotlib.pyplot import axis import scipy.optimize import pdb import torch from torch.autograd import Variable from jax_rl....

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py

Python

0171 [Easy] Hex to Bmp/script.py

jwthomson/dailyprogrammer

44eb1c4e0ec9e8c8660721b24c949013fe3acdc6

[ "MIT" ]

null

0171 [Easy] Hex to Bmp/script.py

jwthomson/dailyprogrammer

44eb1c4e0ec9e8c8660721b24c949013fe3acdc6

[ "MIT" ]

null

0171 [Easy] Hex to Bmp/script.py

jwthomson/dailyprogrammer

44eb1c4e0ec9e8c8660721b24c949013fe3acdc6

[ "MIT" ]

null

hex_strings = [ "FF 81 BD A5 A5 BD 81 FF", "AA 55 AA 55 AA 55 AA 55", "3E 7F FC F8 F8 FC 7F 3E", "93 93 93 F3 F3 93 93 93", ] def hex_data_to_image(hex_data): for hex_pair in hex_data: for divisor in reversed(range(len(hex_data))): print("X" if (int(hex_pair, 16) >> divisor & 1) == 1 else " ", end=...

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py

Python

scripts/album_times.py

TypicalFence/lainonlife

7af0cf3fe8e48e6affdb3e79d2a89e1c399371b3

[ "MIT" ]

48

2017-04-29T20:13:52.000Z

2022-03-23T09:48:56.000Z

scripts/album_times.py

ech1/lainonlife

c5bee94d8dec03d586c62e241d2af5c250e1dde9

[ "MIT" ]

46

2017-04-27T18:39:43.000Z

2022-03-29T13:09:53.000Z

scripts/album_times.py

TypicalFence/lainonlife

7af0cf3fe8e48e6affdb3e79d2a89e1c399371b3

[ "MIT" ]

12

2017-04-29T20:20:13.000Z

2021-09-20T11:29:14.000Z

#!/usr/bin/env python3 """Radio scheduling program. Usage: album_times.py [--host=HOST] PORT Options: --host=HOST Hostname of MPD [default: localhost] -h --help Show this text Prints out the last scheduling time of every album. """ from datetime import datetime from docopt import docopt from mpd import M...

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py

Python

pico-examples/usb/device/dev_lowlevel/dev_lowlevel_loopback.py

TheMindVirus/tinyusb

397f5f916d84841d878ab75cadae007af13220a1

[ "MIT" ]

null

pico-examples/usb/device/dev_lowlevel/dev_lowlevel_loopback.py

TheMindVirus/tinyusb

397f5f916d84841d878ab75cadae007af13220a1

[ "MIT" ]

null

pico-examples/usb/device/dev_lowlevel/dev_lowlevel_loopback.py

TheMindVirus/tinyusb

397f5f916d84841d878ab75cadae007af13220a1

[ "MIT" ]

null

#!/usr/bin/env python3 # # Copyright (c) 2020 Raspberry Pi (Trading) Ltd. # # SPDX-License-Identifier: BSD-3-Clause # # sudo pip3 install pyusb import usb.core import usb.util # find our device dev = usb.core.find(idVendor=0x0000, idProduct=0x0001) # was it found? if dev is None: raise ValueE...

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4d87cbb67ddde96fe36f99d2c52da4c04b9e08f6

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py

Python

aiidalab_sssp/inspect/subwidgets/summary.py

aiidalab/aiidalab-sssp

4f06d7fdff32b86996e85b6c65b372a41f0192a4

[ "MIT" ]

null

aiidalab_sssp/inspect/subwidgets/summary.py

aiidalab/aiidalab-sssp

4f06d7fdff32b86996e85b6c65b372a41f0192a4

[ "MIT" ]

1

2022-03-28T10:22:31.000Z

aiidalab_sssp/inspect/subwidgets/summary.py

aiidalab/aiidalab-sssp

4f06d7fdff32b86996e85b6c65b372a41f0192a4

[ "MIT" ]

1

2021-09-30T08:47:39.000Z

import ipywidgets as ipw import traitlets from IPython.display import clear_output class SummaryWidget(ipw.VBox): """output the convergence summary""" selected_pseudos = traitlets.Dict(allow_none=True) def __init__(self): # Delta mesure self.output = ipw.Output() super().__init_...

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4d88b9099339ce1c59838e9b514d20d29f9eb74a

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py

Python

src/ska_pst_lmc/management/management_device.py

ska-telescope/ska-pst-lmc

d567f874bf55f49269416d0d83b5a80373a1281c

[ "BSD-3-Clause" ]

null

src/ska_pst_lmc/management/management_device.py

ska-telescope/ska-pst-lmc

d567f874bf55f49269416d0d83b5a80373a1281c

[ "BSD-3-Clause" ]

null

src/ska_pst_lmc/management/management_device.py

ska-telescope/ska-pst-lmc

d567f874bf55f49269416d0d83b5a80373a1281c

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # # This file is part of the SKA PST LMC project # # Distributed under the terms of the BSD 3-clause new license. # See LICENSE for more info. """This module implements the PstManagement device.""" from __future__ import annotations from typing import Optional from ska_tango_base.csp.control...

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4d8a3cc2d4d2015a3e0297d36d0b96dcf9279316

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py

Python

cartografo/argument_parser.py

mendrugory/cartografo

2cd58dfa3c954447f39f084abd28031a47d924d7

[ "MIT" ]

4

2019-01-16T07:49:51.000Z

2020-02-14T21:25:21.000Z

cartografo/argument_parser.py

mendrugory/cartografo

2cd58dfa3c954447f39f084abd28031a47d924d7

[ "MIT" ]

null

cartografo/argument_parser.py

mendrugory/cartografo

2cd58dfa3c954447f39f084abd28031a47d924d7

[ "MIT" ]

null

import argparse from cartografo import DEFAULT_OBJECT, DEFAULT_TARGET def __get_argparser(): __parser.add_argument('--k8s-object', help='Output Kubernetes objet: secrets or configmap') __parser.add_argument('--target', help='Target file. If it exists, it will be modified') __parser.add_argument('files_fo...

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4d8e2ab661763c22c669a9c4b0bb47f144d56291

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py

Python

app-engine-utility-service/toggleIndex.py

isabella232/gov-meetings-made-searchable

bcbb13544fbfb8e5d5a12c66885fdb54ae52584a

[ "Apache-2.0" ]

26

2019-03-06T15:47:21.000Z

2022-03-30T17:25:20.000Z

app-engine-utility-service/toggleIndex.py

google/gov-meetings-made-searchable

bcbb13544fbfb8e5d5a12c66885fdb54ae52584a

[ "Apache-2.0" ]

4

2021-02-08T20:27:35.000Z

2021-09-08T00:50:23.000Z

app-engine-utility-service/toggleIndex.py

isabella232/gov-meetings-made-searchable

bcbb13544fbfb8e5d5a12c66885fdb54ae52584a

[ "Apache-2.0" ]

8

2019-03-06T18:48:16.000Z

2021-08-14T14:33:33.000Z

#!/usr/bin/env python # This is not an officially supported Google product, though support # will be provided on a best-effort basis. # Copyright 2018 Google LLC # Licensed under the Apache License, Version 2.0 (the "License"); you # may not use this file except in compliance with the License. # You may obtain a co...

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4d8e30f69b17eb91d913983be8d413e7774df4f1

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py

Python

app.py

Jianghuchengphilip/Master-art-punk

4102d82148bf571e0cd418e363c51fa8486c5a43

[ "Apache-2.0" ]

37

2022-01-12T07:07:59.000Z

2022-03-31T10:25:46.000Z

app.py

Jianghuchengphilip/Master-art-punk

4102d82148bf571e0cd418e363c51fa8486c5a43

[ "Apache-2.0" ]

1

2022-01-25T12:24:57.000Z

2022-02-03T10:45:00.000Z

app.py

Jianghuchengphilip/Master-art-punk

4102d82148bf571e0cd418e363c51fa8486c5a43

[ "Apache-2.0" ]

10

2022-01-12T07:29:37.000Z

2022-03-28T23:37:42.000Z

#!/usr/bin/env python # -*- coding: UTF-8 -*- """================================================= @Author ：蒋虎成 @Date ：2021/9/22 17:04 @Desc ：主接口 ==================================================""" from colors import ColorMultiImage import settings from model import training import csv if __name__ == '__main__': ...

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py

Python

indivsims-dist.py

LohmuellerLab/Forward_Neanderthal

bee8b9ab6afc61942526a3e842c499fbe9cf6fdc

[ "MIT" ]

3

2016-04-02T14:02:36.000Z

2018-11-07T18:36:02.000Z

indivsims-dist.py

LohmuellerLab/Forward_Neanderthal

bee8b9ab6afc61942526a3e842c499fbe9cf6fdc

[ "MIT" ]

null

indivsims-dist.py

LohmuellerLab/Forward_Neanderthal

bee8b9ab6afc61942526a3e842c499fbe9cf6fdc

[ "MIT" ]

null

#! /usr/bin/env python """ usage: demoselsim.py outfilename popn h pct """ import numpy import sys def pnext(AC, N, Nout, h, s): AC = float(AC); N = float(N); h = float(h); s = float(s) p = AC/(2*N) w11 = 1+s; w12 = 1+h*s; w22 = 1 wbar = ((p**2) * w11) + (2*p*(1-p)*w12) + (((1-p)**2) * w22) pdet = p*(p*w11 + (1...

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py

Python

core/modules.py

egecakmak/SAnD

73cc3560450312cd2916b45ac043cc763539e5ad

[ "MIT" ]

43

2019-12-27T12:46:31.000Z

2022-03-12T06:52:01.000Z

core/modules.py

LuisMoralesAlonso/SAnD

d6d214b3681ef2f14b76a6e32f86c0c69022e2ee

[ "MIT" ]

7

2020-04-27T13:16:45.000Z

2021-12-13T13:06:47.000Z

core/modules.py

LuisMoralesAlonso/SAnD

d6d214b3681ef2f14b76a6e32f86c0c69022e2ee

[ "MIT" ]

8

2020-01-11T17:08:59.000Z

2021-04-10T15:15:21.000Z

import math import torch import numpy as np import torch.nn as nn class PositionalEncoding(nn.Module): def __init__(self, d_model, seq_len) -> None: super(PositionalEncoding, self).__init__() self.d_model = d_model pe = torch.zeros(seq_len, d_model) for pos in range(seq_len): ...

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4d92c6dffc16135c5125b569d46c22e978986d36

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py

Python

samcli/commands/local/cli_common/options.py

trenton/aws-sam-cli

11db934d3584c17fb5ba94d0e92e291c2c91d7c9

[ "Apache-2.0" ]

1

2019-12-24T17:27:09.000Z

samcli/commands/local/cli_common/options.py

ShreyaGangishetty/aws-sam-cli

f896920468770f3407a3035b9c8e04902578d556

[ "Apache-2.0" ]

1

2021-06-02T02:44:08.000Z

samcli/commands/local/cli_common/options.py

CavHack/aws-sam-cli

9355b7b613af907055b9ea5fb199f5d6d501c490

[ "Apache-2.0" ]

null

""" Common CLI options for invoke command """ import click from samcli.commands._utils.options import template_click_option, docker_click_options, parameter_override_click_option try: from pathlib import Path except ImportError: from pathlib2 import Path def get_application_dir(): """ Returns -...

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0

null

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0

4d9318a61357e8ed5c3736eac9a6f69296fcd981

3,083

py

Python

Leetcode/week_6/multi_threaded_merge_sort.py

SamSamhuns/wallbreakers_projekts

c07b555127ee89d6f461cea7cd87811c382086ff

[ "MIT" ]

1

2021-07-07T00:55:23.000Z

Leetcode/week_6/multi_threaded_merge_sort.py

SamSamhuns/wallbreakers_projekts

c07b555127ee89d6f461cea7cd87811c382086ff

[ "MIT" ]

null

Leetcode/week_6/multi_threaded_merge_sort.py

SamSamhuns/wallbreakers_projekts

c07b555127ee89d6f461cea7cd87811c382086ff

[ "MIT" ]

null

import threading def merge_sort(arr): def _merge(arr1, arr2): i, j = 0, 0 l1, l2 = len(arr1), len(arr2) arr_sorted = [0] * (l1 + l2) idx = 0 while i < l1 and j < l2: if arr1[i] < arr2[j]: arr_sorted[idx] = arr1[i] i += 1 ...

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null

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1

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4d9622c35c6cf1b3dd5d13ccfc59f523a7821253

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py

Python

altair_saver/savers/_saver.py

RoyalTS/altair_saver

31febb5faf7c3d6d27c2f5fe4045635099143042

[ "BSD-3-Clause" ]

null

altair_saver/savers/_saver.py

RoyalTS/altair_saver

31febb5faf7c3d6d27c2f5fe4045635099143042

[ "BSD-3-Clause" ]

null

altair_saver/savers/_saver.py

RoyalTS/altair_saver

31febb5faf7c3d6d27c2f5fe4045635099143042

[ "BSD-3-Clause" ]

null

import abc import json from typing import Any, Dict, IO, Iterable, List, Optional, Union import altair as alt from altair_saver.types import Mimebundle, MimebundleContent, JSONDict from altair_saver._utils import ( extract_format, fmt_to_mimetype, infer_mode_from_spec, maybe_open, ) class Saver(meta...

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null

0

null

0

1

0

4d9ba15c517c23c2ecfacb361d428d6f96edb488

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py

Python

scrape-scripts/co2-coalition.py

ClimateMisinformation/infrastructure

f0940b6f1814b302ff328d2f1d8a04ffa2acde64

[ "Apache-2.0" ]

null

scrape-scripts/co2-coalition.py

ClimateMisinformation/infrastructure

f0940b6f1814b302ff328d2f1d8a04ffa2acde64

[ "Apache-2.0" ]

null

scrape-scripts/co2-coalition.py

ClimateMisinformation/infrastructure

f0940b6f1814b302ff328d2f1d8a04ffa2acde64

[ "Apache-2.0" ]

null

import os from bs4 import BeautifulSoup import html2text import pandas data_dir = 'co2-coalition' data_text_dir = os.path.join(data_dir, 'text') data_file_name = 'co2-coalition.csv' def make_file_name(index): return f'{index:02d}' def save_text(data_dir, file_path, content): f = open(os.path.join(data_dir, file...

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null

0

null

0

1

0

4d9ef0e46af27e7dc0c401a2f1d44362cba6b228

2,677

py

Python

dary_heap.py

fepz/AyCC

72a184c3da075677a2a7e5aebe50d1ceb6627ccf

[ "MIT" ]

null

dary_heap.py

fepz/AyCC

72a184c3da075677a2a7e5aebe50d1ceb6627ccf

[ "MIT" ]

null

dary_heap.py

fepz/AyCC

72a184c3da075677a2a7e5aebe50d1ceb6627ccf

[ "MIT" ]

null

import math # The code is based on from http://www.cs.cmu.edu/~ckingsf/class/02713-s13/src/mst.py # Heap item class HeapItem(object): """Represents an item in the heap""" def __init__(self, key, value): self.key = key self.pos = None self.value = value # d-ary Heap cl...

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0

null

0

null

0

1

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4d9f5affe61b40083c20917f0cdf236631978825

679

py

Python

S1c_Option2.py

tatytita20/TatianaOrtizG

bfc9e4a84fe16063871ca3210373f5cd5d05ec00

[ "BSD-2-Clause" ]

null

S1c_Option2.py

tatytita20/TatianaOrtizG

bfc9e4a84fe16063871ca3210373f5cd5d05ec00

[ "BSD-2-Clause" ]

null

S1c_Option2.py

tatytita20/TatianaOrtizG

bfc9e4a84fe16063871ca3210373f5cd5d05ec00

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python # coding: utf-8 # In[5]: import cv2 import numpy as np imagen = cv2.imread('wheel.png') gray = cv2.cvtColor(imagen,cv2.COLOR_BGR2GRAY) _,th = cv2.threshold(gray,100,255,cv2.THRESH_BINARY) #Para versiones OpenCV3: img1,contornos1,hierarchy1 = cv2.findContours(th, cv2.RETR_EXTERNAL,cv2.CHAIN_AP...

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679

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0.142857

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null

0

null

0

1

0

4da1078413c6ede4c933c888d3cfb359e4bb4c92

2,014

py

Python

PythonFSDAM/combine_works.py

MauriceKarrenbrock/PythonFSDAM

efd4a1717af37d6598aaaca0fa520f735cf254b0

[ "BSD-3-Clause" ]

null

PythonFSDAM/combine_works.py

MauriceKarrenbrock/PythonFSDAM

efd4a1717af37d6598aaaca0fa520f735cf254b0

[ "BSD-3-Clause" ]

null

PythonFSDAM/combine_works.py

MauriceKarrenbrock/PythonFSDAM

efd4a1717af37d6598aaaca0fa520f735cf254b0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- ############################################################# # Copyright (c) 2020-2021 Maurice Karrenbrock # # # # This software is open-source and is distributed under the # # BSD 3-Clause "New" or "Revised" License ...

30.059701

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2,014

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0.272727

0

null

0

null

0

1

0

4da13726f32134c310d04e7e245dd18f5b4f2d9a

8,622

py

Python

modules/pointrnn_cell_impl.py

hehefan/PointRNN-PyTorch

4d32a3dbb03ca423d5b79c6c9ae848b75cee724a

[ "MIT" ]

35

2020-03-16T08:40:57.000Z

2022-03-14T21:14:56.000Z

modules/pointrnn_cell_impl.py

hehefan/PointRNN-PyTorch

4d32a3dbb03ca423d5b79c6c9ae848b75cee724a

[ "MIT" ]

4

2021-02-23T12:33:47.000Z

2021-12-29T06:44:34.000Z

modules/pointrnn_cell_impl.py

hehefan/PointRNN-PyTorch

4d32a3dbb03ca423d5b79c6c9ae848b75cee724a

[ "MIT" ]

5

2020-08-12T05:37:45.000Z

2021-12-13T02:51:34.000Z

import torch import torch.nn as nn import torch.nn.functional as F import os import sys BASE_DIR = os.path.dirname(os.path.abspath(__file__)) sys.path.append(BASE_DIR) import pointnet2_utils import pytorch_utils as pt_utils from typing import List class PointSpatioTemporalCorrelation(nn.Module): def __init__( ...

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0.017647

0

null

0

null

0

1

0

4da2cd364bac0f635be3f42e807ba80193bddce5

839

py

Python

mbus/MBusAddress.py

droid4control/python-mbus

8e26c1847c06e57bc0e878ef3d6610dc9ba913b4

[ "BSD-3-Clause" ]

23

2015-05-19T15:57:40.000Z

2021-03-18T11:33:22.000Z

mbus/MBusAddress.py

Sensenode/python-mbus

9b598ada5b3da17bb513cf78e5b4a8f2a3f9a1f1

[ "BSD-3-Clause" ]

14

2015-09-20T20:26:22.000Z

2020-05-13T16:39:15.000Z

mbus/MBusAddress.py

neurobat/python-mbus

8e26c1847c06e57bc0e878ef3d6610dc9ba913b4

[ "BSD-3-Clause" ]

22

2015-07-27T08:50:44.000Z

2022-03-19T01:17:18.000Z

from ctypes import Structure, Union, c_int, c_byte, c_char_p # Inner union class MBusAddressInternal(Union): _fields_ = [ ('primary', c_int), ('secondary', c_char_p), ] class MBusAddress(Structure): _fields_ = [ ('is_primary', c_byte), ('_address', ...

22.675676

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839

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0

0.407407

0

null

0

null

0

1

0

4da52c1e9bb8246e1bfb4b704fffa7ba5aef097c

633

py

Python

korea_client_prospect.py

DataFinnovation/api-demos-python

1b5cf3334c537b9a09bcb8973c030ad7f19dd2ba

[ "Apache-2.0" ]

1

2019-10-04T18:20:43.000Z

korea_client_prospect.py

DataFinnovation/api-demos-python

1b5cf3334c537b9a09bcb8973c030ad7f19dd2ba

[ "Apache-2.0" ]

null

korea_client_prospect.py

DataFinnovation/api-demos-python

1b5cf3334c537b9a09bcb8973c030ad7f19dd2ba

[ "Apache-2.0" ]

null

"""the names of companies which filed fields with certain words in them""" from df_wrappers import facts_stringquery def main(): """example code lives in one function""" # this one is easier in the script language query_string = """ filingsource:"Korea FSS" AND fieldname:(hedge OR (foreign AND ex...

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633

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0.688889

0.075829

0

0.221169

633

23

75

27.521739

0.855984

0.341232

0

0.322581

0

1

0.090909

false

0

0.090909

0

0.181818

0.090909

0

null

0

null

0

1

0

4da5665c468aeff1b89db108dda338732a06bdb4

2,413

py

Python

libs/CacheSimulator.py

architecture-helper/architecture-helper-python

89c8e2c8ed051f5d5bcbe2283c5228a745c05e4c

[ "MIT" ]

2

2020-06-15T13:08:10.000Z

2020-06-16T13:56:04.000Z

libs/CacheSimulator.py

architecture-helper/architecture-helper-python

89c8e2c8ed051f5d5bcbe2283c5228a745c05e4c

[ "MIT" ]

null

libs/CacheSimulator.py

architecture-helper/architecture-helper-python

89c8e2c8ed051f5d5bcbe2283c5228a745c05e4c

[ "MIT" ]

2

2020-10-31T13:21:55.000Z

2020-10-31T13:26:34.000Z

DEBUG = False from typing import List, Tuple class LRU: _values:List _lastIndex:int def __init__(self, ways): #values = 3,2,1,0, so the cache will use 0 as the first self._values = list(range(ways-1,-1,-1)) self._lastIndex = ways -1 def getLeastRecentlyUsed(self): ret...

30.935897

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2,413

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107

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false

0

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0.057692

0

null

0

null

0

1

0

4da56c87210d815ae3ce12ef22d4660f4c50a5e6

4,015

py

Python

src/db_triggers.py

serong/saypy

19118fcf34093389c689bf540cf53521667b59f7

[ "MIT" ]

null

src/db_triggers.py

serong/saypy

19118fcf34093389c689bf540cf53521667b59f7

[ "MIT" ]

null

src/db_triggers.py

serong/saypy

19118fcf34093389c689bf540cf53521667b59f7

[ "MIT" ]

null

""" db_triggers.py ~~~~~~~~~~~~~~ :aciklama: Veritabanina veri girisi ve gerekli triggerlar icin :yazar: github.com/serong """ import sqlite3 import db as saydb class SayisalDBT(object): def __init__(self, week, the_date, numbers): self.db_name = "sayisal.db" self.weeks...

27.128378

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4,015

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0.392924

0

0.017358

0.339975

4,015

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101

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1

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false

0

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0

0.230769

0

null

0

null

0

1

0

4da617061fb7260c745a228403e1f72dc1155bd6

17,088

py

Python

phathom/utils.py

chunglabmit/phathom

304db7a95e898e9b03d6b2640172752d21a7e3ed

[ "MIT" ]

1

2018-04-18T11:54:29.000Z

phathom/utils.py

chunglabmit/phathom

304db7a95e898e9b03d6b2640172752d21a7e3ed

[ "MIT" ]

2

2018-04-05T20:53:52.000Z

2018-11-01T16:37:39.000Z

phathom/utils.py

chunglabmit/phathom

304db7a95e898e9b03d6b2640172752d21a7e3ed

[ "MIT" ]

null

import contextlib import os import pickle import numpy as np from itertools import product, starmap import multiprocessing import tqdm import sys if sys.platform.startswith("linux"): is_linux = True import tempfile else: is_linux = False import mmap # import pyina.launchers # from pyina.ez_map import e...

30.031634

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2,336

17,088

4.422945

0.180223

0.012098

0.011614

0.00813

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0.186895

0.160472

0.129307

0.114595

0.111885

0

0.007763

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17,088

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111

30.031634

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0.00714

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false

0

0.052356

0.005236

0.287958

0

null

0

null

0

1

0

4da7f0dcc82002a84f867e9fa7df76c1807a4a95

4,706

py

Python

ys_code/src/skin_mb/data/diff_abun.py

sverbanic/ps2-npjBM

646585d787e5ae2d553a04ea4960b36e9d05bf29

[ "CC0-1.0" ]

null

ys_code/src/skin_mb/data/diff_abun.py

sverbanic/ps2-npjBM

646585d787e5ae2d553a04ea4960b36e9d05bf29

[ "CC0-1.0" ]

null

ys_code/src/skin_mb/data/diff_abun.py

sverbanic/ps2-npjBM

646585d787e5ae2d553a04ea4960b36e9d05bf29

[ "CC0-1.0" ]

null

from .result import Result import numpy as np import pandas as pd class DiffAbunRes(Result): def __init__(self, otu_table, transform_pipe=None, percent=False, **kwargs): super().__init__() self.pre_vs_skin = diff_rel_abun(otu_table, compare='pre_vs_skin', transform_pipe=transform_pipe, ...

36.48062

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0.116938

0.082211

0

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0.267106

4,706

128

129

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0.161616

0

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1

0.080808

false

0

0.10101

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0.262626

0

null

0

null

0

1

0

4daf588bf7222a0428a4b569a5e2c8de42912a40

1,333

py

Python

bio-info/bio-info5.py

kyamada101/Python

a9be850b1818fb4784cb84e86b20cf2c61784e38

[ "MIT" ]

null

bio-info/bio-info5.py

kyamada101/Python

a9be850b1818fb4784cb84e86b20cf2c61784e38

[ "MIT" ]

null

bio-info/bio-info5.py

kyamada101/Python

a9be850b1818fb4784cb84e86b20cf2c61784e38

[ "MIT" ]

null

import numpy as np with open("./dice.txt",'r') as f: input_str = f.read() input_data=list(map(int,input_str)) inf = -float('inf') class box(): def __init__(self): self.v = inf self.root = -1 def __repr__(self): return str(self.v) def run_viterbi(n,k): if X[n][k].v != inf:...

25.634615

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0.029326

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0.130499

0

0.056604

0.244561

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0

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0

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false

0

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0.255814

0

null

0

null

0

1

0

4db2f85a35fd948e670a5be341c3efca737c01ed

6,534

py

Python

tests/test_reviews_rest.py

miw-upm/betca-tpv-customer-support

e36946b934123a5c139924192a189c5ce8f3864c

[ "MIT" ]

1

2021-05-04T01:33:00.000Z

tests/test_reviews_rest.py

miw-upm/betca-tpv-customer-support

e36946b934123a5c139924192a189c5ce8f3864c

[ "MIT" ]

null

tests/test_reviews_rest.py

miw-upm/betca-tpv-customer-support

e36946b934123a5c139924192a189c5ce8f3864c

[ "MIT" ]

5

2021-04-02T15:42:31.000Z

2022-03-07T09:02:16.000Z

from http import HTTPStatus from unittest import TestCase, mock import jwt from fastapi.testclient import TestClient from src.api.review_resource import REVIEWS from src.config import config from src.main import app from src.models.article import Article from src.models.review import Review def _bearer(**payload): ...

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null

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4db7b0957c01b75e339ff138abd1c5327cd961ef

2,354

py

Python

python/dset/write_dataset_W1BS.py

spongezhang/vlb

52a6b2ab8608496182ac2a33c961344db4a84333

[ "BSD-2-Clause" ]

11

2017-09-08T16:32:46.000Z

2022-02-02T15:28:22.000Z

python/dset/write_dataset_W1BS.py

albutko/vlb

437245c0991948eeb36a277937a7e67d389041e4

[ "BSD-2-Clause" ]

9

2017-09-13T20:22:51.000Z

2019-03-13T02:38:25.000Z

python/dset/write_dataset_W1BS.py

albutko/vlb

437245c0991948eeb36a277937a7e67d389041e4

[ "BSD-2-Clause" ]

3

2017-09-08T21:07:14.000Z

2021-02-17T17:42:43.000Z

import json sequence_name_list = ['A','G','L','map2photo','S'] description_list = ['Viewpoint Appearance','Viewpoint','ViewPoint Lighting','Map to Photo','Modality'] label_list = [ ['arch', 'obama', 'vprice0', 'vprice1', 'vprice2', 'yosemite'], ['adam', 'boat','ExtremeZoomA','face','fox','graf','mag','...

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null

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null

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4db99233bd49c358c3fdefaa1fa9186de53680eb

11,351

py

Python

scripts/calibration/cal_methods.py

jielyugt/calibration

1b9be673fb7ff8cf481e875153b1a7649e3b6e67

[ "MIT" ]

null

scripts/calibration/cal_methods.py

jielyugt/calibration

1b9be673fb7ff8cf481e875153b1a7649e3b6e67

[ "MIT" ]

null

scripts/calibration/cal_methods.py

jielyugt/calibration

1b9be673fb7ff8cf481e875153b1a7649e3b6e67

[ "MIT" ]

null

# Calibration methods including Histogram Binning and Temperature Scaling import numpy as np from scipy.optimize import minimize from sklearn.metrics import log_loss import pandas as pd import time from sklearn.metrics import log_loss, brier_score_loss from tensorflow.keras.losses import categorical_crossentropy from...

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null

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4db9d563f39ee0c9eaa0404dfef96153f8e1cbb5

2,259

py

Python

neuralmonkey/nn/projection.py

Simon-Will/neuralmonkey

b686a9d302cb10eda5fca991e1d7ee6b9e84b75a

[ "BSD-3-Clause" ]

5

2017-04-24T21:10:03.000Z

2019-05-22T13:19:35.000Z

neuralmonkey/nn/projection.py

Simon-Will/neuralmonkey

b686a9d302cb10eda5fca991e1d7ee6b9e84b75a

[ "BSD-3-Clause" ]

null

neuralmonkey/nn/projection.py

Simon-Will/neuralmonkey

b686a9d302cb10eda5fca991e1d7ee6b9e84b75a

[ "BSD-3-Clause" ]

5

2017-04-25T01:36:44.000Z

2019-12-13T15:04:03.000Z

"""Module which implements various types of projections.""" from typing import List, Callable import tensorflow as tf from neuralmonkey.nn.utils import dropout def maxout(inputs: tf.Tensor, size: int, scope: str = "MaxoutProjection") -> tf.Tensor: """Apply a maxout operation. Implementa...

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0

null

0

null

0

1

0

4dbb39dfe98094fd9498b0f54ec487acfb06c3ae

5,989

py

Python

afk.py

bsoyka/sunset-bot

ea05000e52e1883ddba77ab754e5f733c8b3375c

[ "MIT" ]

1

2021-06-21T16:58:48.000Z

afk.py

bsoyka/sunset-bot

ea05000e52e1883ddba77ab754e5f733c8b3375c

[ "MIT" ]

4

2021-08-13T16:52:51.000Z

2021-09-01T13:05:42.000Z

afk.py

sunset-vacation/bot

ea05000e52e1883ddba77ab754e5f733c8b3375c

[ "MIT" ]

4

2021-06-21T22:16:12.000Z

2021-08-11T21:01:19.000Z

from datetime import datetime from textwrap import shorten from typing import Optional, Union import discord from discord.abc import Messageable from discord.errors import Forbidden from discord.ext.commands import Bot, Cog, Context, check, command, is_owner from discord.utils import get from config import ...

29.79602

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null

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null

0

1

0

4dbd6eb36e7e0009be0cae3c766793da9b62afee

17,853

py

Python

scripts/old_scripts/test1.py

noambuckman/mpc-multiple-vehicles

a20949c335f1af97962569eed112e6cef46174d9

[ "MIT" ]

1

2021-11-02T15:16:17.000Z

scripts/old_scripts/test1.py

noambuckman/mpc-multiple-vehicles

a20949c335f1af97962569eed112e6cef46174d9

[ "MIT" ]

5

2021-04-14T17:08:59.000Z

2021-05-27T21:41:02.000Z

scripts/old_scripts/test1.py

noambuckman/mpc-multiple-vehicles

a20949c335f1af97962569eed112e6cef46174d9

[ "MIT" ]

2

2022-02-07T08:16:05.000Z

2022-03-09T23:30:17.000Z

import time, datetime, argparse import os, sys import numpy as np np.set_printoptions(precision=2) import matplotlib.pyplot as plt import copy as cp import pickle PROJECT_PATH = '/home/nbuckman/Dropbox (MIT)/DRL/2020_01_cooperative_mpc/mpc-multiple-vehicles/' sys.path.append(PROJECT_PATH) import casadi as cas import ...

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null

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null

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4dbda883d570920c96f7e2803783e01d7ee5bd65

712

py

Python

RenameMaps.py

uesp/uesp-dbmapscripts

f2bb914661423d19a5bd4b7c090af2b2142654c2

[ "MIT" ]

null

RenameMaps.py

uesp/uesp-dbmapscripts

f2bb914661423d19a5bd4b7c090af2b2142654c2

[ "MIT" ]

null

RenameMaps.py

uesp/uesp-dbmapscripts

f2bb914661423d19a5bd4b7c090af2b2142654c2

[ "MIT" ]

null

import os import sys import shutil import re INPUT_PATH = "d:\\dbmaps\\test\\final\\" OUTPUT_PATH = "d:\\dbmaps\\test\\zoom17\\" for filename in os.listdir(INPUT_PATH): InputFile = INPUT_PATH + filename matchResult = re.search('([a-zA-Z]+)-([0-9]+)-([0-9]+)-([0-9]+)\.', filename) if (not ma...

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0.235294

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null

0

null

0

1

0

4dc36673ab2928033fca50873ad953a0612cf554

820

py

Python

taco/tests/aws_wrappers/dynamodb/integration/consts.py

Intsights/taco

f9a912d146d74a6539d31c33ec289eff3fbfca8f

[ "Apache-2.0" ]

18

2019-09-05T07:53:26.000Z

2021-02-15T18:23:45.000Z

taco/tests/aws_wrappers/dynamodb/integration/consts.py

Intsights/taco

f9a912d146d74a6539d31c33ec289eff3fbfca8f

[ "Apache-2.0" ]

null

taco/tests/aws_wrappers/dynamodb/integration/consts.py

Intsights/taco

f9a912d146d74a6539d31c33ec289eff3fbfca8f

[ "Apache-2.0" ]

null

import taco.aws_wrappers.dynamodb_wrapper.consts as dynamodb_consts from taco.boto3.boto_config import Regions DEFAULT_REGION = Regions.n_virginia.value RESPONSE_KEY_NAME = 'Responses' PRIMARY_KEY_NAME = 'KEY1' ATTRIBUTE_DEFINITIONS = [ dynamodb_consts.property_schema(PRIMARY_KEY_NAME, dynamodb_consts.AttributeTy...

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0.133333

0

null

0

null

0

1

0

4dc47970f015540fdb076bfa3a3c9a472b731090

1,790

py

Python

examples/HMF_oxidation_WO3/model.py

flboudoire/chemical-kinetics

70db1b3fc899f357d86834708950b9559b4d19fb

[ "MIT" ]

null

examples/HMF_oxidation_WO3/model.py

flboudoire/chemical-kinetics

70db1b3fc899f357d86834708950b9559b4d19fb

[ "MIT" ]

null

examples/HMF_oxidation_WO3/model.py

flboudoire/chemical-kinetics

70db1b3fc899f357d86834708950b9559b4d19fb

[ "MIT" ]

2

2021-09-23T14:17:33.000Z

2022-03-26T01:06:34.000Z

import numpy as np from scipy import constants measured_species = ["HMF", "DFF", "HMFCA", "FFCA", "FDCA"] all_species = measured_species.copy() all_species.extend(["H_" + s for s in measured_species]) all_species.extend(["Hx_" + s for s in measured_species]) def c_to_q(c): c_e = list() for i, s in enumera...

31.403509

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1,790

2.773333

0.266667

0.048077

0.060096

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0.298077

0.211538

0

0.031508

0.255307

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97

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false

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0

0.171429

0

null

0

null

0

1

0

4dc68b6c713419a1c2bd43c406530fcd60ac199b

9,204

py

Python

code/bodmas/utils.py

whyisyoung/BODMAS

91e63bbacaa53060488c94e54af3a2fb91cfa88a

[ "BSD-2-Clause" ]

18

2021-07-20T13:50:06.000Z

2022-03-29T18:20:43.000Z

code/bodmas/utils.py

whyisyoung/BODMAS

91e63bbacaa53060488c94e54af3a2fb91cfa88a

[ "BSD-2-Clause" ]

1

2022-01-19T23:52:14.000Z

2022-01-21T20:35:32.000Z

code/bodmas/utils.py

whyisyoung/BODMAS

91e63bbacaa53060488c94e54af3a2fb91cfa88a

[ "BSD-2-Clause" ]

2

2021-11-20T10:44:10.000Z

2021-12-31T02:38:08.000Z

# -*- coding: utf-8 -*- """ utils.py ~~~~~~~~ Helper functions for setting up the environment and parsing args, etc. """ import os os.environ['PYTHONHASHSEED'] = '0' from numpy.random import seed import random random.seed(1) seed(1) import sys import logging import argparse import pickle import json import numpy a...

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null

0

1

0

4dc6fa3514e2ac738a922e6c666fe8ccb1623cf7

1,937

py

Python

Software for Other Building Blocks and Integration/PoW.py

fkerem/Cryptocurrency-Blockchain

965268a09a6f8b3e700e8bbc741e49a4d54805c6

[ "MIT" ]

null

Software for Other Building Blocks and Integration/PoW.py

fkerem/Cryptocurrency-Blockchain

965268a09a6f8b3e700e8bbc741e49a4d54805c6

[ "MIT" ]

null

Software for Other Building Blocks and Integration/PoW.py

fkerem/Cryptocurrency-Blockchain

965268a09a6f8b3e700e8bbc741e49a4d54805c6

[ "MIT" ]

null

""" PoW.py """ import DSA import sys import hashlib if sys.version_info < (3, 6): import sha3 def rootMerkle(TxBlockFile, TxLen): #To Get the Root Hash of the Merkle Tree TxBlockFileBuffer = open(TxBlockFile, "r") lines = TxBlockFileBuffer.readlines() TxBlockFileBuffer.close() Tx...

29.8

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false

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null

0

null

0

1

0

4dc88ebb3a9af63d834dc6d3c95d28f963145c6a

287

py

Python

chapter03/3.5_simulate_output_layer.py

Myeonghan-Jeong/deep-learning-from-scratch

0df7f9f352920545f5309e8e11c7cf879ad477e5

[ "MIT" ]

null

chapter03/3.5_simulate_output_layer.py

Myeonghan-Jeong/deep-learning-from-scratch

0df7f9f352920545f5309e8e11c7cf879ad477e5

[ "MIT" ]

3

2021-06-08T21:22:11.000Z

2021-09-08T01:55:11.000Z

chapter03/3.5_simulate_output_layer.py

myeonghan-nim/deep-learning-from-scratch

fef3e327c49593b5df74728a1cba1144948a2999

[ "MIT" ]

null

import numpy as np # softmax function def softmax(a): exp_a = np.exp(a) sum_a = np.sum(exp_a) return exp_a / sum_a # modified softmax function def modified_softmax(a): maxA = np.max(a) exp_a = np.exp(a - maxA) sum_a = np.sum(exp_a) return exp_a / sum_a

15.105263

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18

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0.1

0

0.5

0

null

0

null

0

1

0

4dc8ffc44718b6bc253375644e19671ce86d5269

8,260

py

Python

rubi/datasets/vqa2.py

abhipsabasu/rubi.bootstrap.pytorch

9fa9639c1ee4a040958d976eeb5dca2dd2203980

[ "BSD-3-Clause" ]

83

2021-03-02T07:49:14.000Z

2022-03-30T03:07:26.000Z

rubi/datasets/vqa2.py

abhipsabasu/rubi.bootstrap.pytorch

9fa9639c1ee4a040958d976eeb5dca2dd2203980

[ "BSD-3-Clause" ]

14

2019-07-14T14:10:28.000Z

2022-01-27T18:53:34.000Z

cfvqa/cfvqa/datasets/vqa2.py

yuleiniu/introd

a40407c7efee9c34e3d4270d7947f5be2f926413

[ "Apache-2.0" ]

14

2019-09-20T01:49:13.000Z

2022-03-29T16:42:34.000Z

import os import csv import copy import json import torch import numpy as np from os import path as osp from bootstrap.lib.logger import Logger from bootstrap.lib.options import Options from block.datasets.vqa_utils import AbstractVQA from copy import deepcopy import random import tqdm import h5py class VQA2(AbstractV...

45.635359

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4dcb5c28ab7f560dea6a9712a1a25dda90260ee7

2,564

py

Python

venv/lib/python2.7/site-packages/ebcli/objects/tier.py

zwachtel11/fruitful-backend

45b8994917182e7b684b9e25944cc79c9494c9f3

[ "MIT" ]

4

2017-01-17T09:09:07.000Z

2018-12-19T14:06:22.000Z

venv/lib/python2.7/site-packages/ebcli/objects/tier.py

zwachtel11/fruitful-backend

45b8994917182e7b684b9e25944cc79c9494c9f3

[ "MIT" ]

1

2020-06-03T13:57:07.000Z

2020-06-22T10:27:48.000Z

venv/lib/python2.7/site-packages/ebcli/objects/tier.py

zwachtel11/fruitful-backend

45b8994917182e7b684b9e25944cc79c9494c9f3

[ "MIT" ]

4

2017-08-13T09:09:31.000Z

2020-11-04T04:58:58.000Z

# Copyright 2014 Amazon.com, Inc. or its affiliates. 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. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompa...

31.654321

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0

0.321429

0

null

0

null

0

1

0

4dcd01eb4188987a9436e56ef1dddd73f316c897

1,617

py

Python

Class4/shoppingcart_pom/features/lib/pages/summer_dresses_catalog_page.py

techsparksguru/python_ci_automation

65e66266fdf2c14f593c6f098a23770621faef41

[ "MIT" ]

null

Class4/shoppingcart_pom/features/lib/pages/summer_dresses_catalog_page.py

techsparksguru/python_ci_automation

65e66266fdf2c14f593c6f098a23770621faef41

[ "MIT" ]

9

2020-02-13T09:14:12.000Z

2022-01-13T03:17:03.000Z

Class4/shoppingcart_pom/features/lib/pages/summer_dresses_catalog_page.py

techsparksguru/python_ci_automation

65e66266fdf2c14f593c6f098a23770621faef41

[ "MIT" ]

1

2021-03-10T03:27:37.000Z

__author__ = 'techsparksguru' from selenium.webdriver.common.by import By from .base_page_object import BasePage class SummerDressesCatalogPage(BasePage): def __init__(self, context): BasePage.__init__( self, context.browser, base_url='http://www.automationpractice.com...

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null

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1

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4dcdd9abff0ad027ebd337ca976c53333922e6fc

446

py

Python

ch3/collatz_test.py

jakdept/pythonbook

862e445ef1bcb36c890fe7e27e144354f6c855b5

[ "MIT" ]

null

ch3/collatz_test.py

jakdept/pythonbook

862e445ef1bcb36c890fe7e27e144354f6c855b5

[ "MIT" ]

null

ch3/collatz_test.py

jakdept/pythonbook

862e445ef1bcb36c890fe7e27e144354f6c855b5

[ "MIT" ]

null

import unittest import collatz class TestCollatz(unittest.TestCase): '''tests the collatz.py script''' def test_collatz(self): '''table driven test to verify collatz''' tests = ((742, 371), (418, 209), (118, 59), (1978, 989)) for tes...

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21

64

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0

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0

0.083333

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0.333333

0

null

0

null

0

1

0

4dceebb4aaf3cbc5f66e75e0222673f73c95b189

4,046

py

Python

test/surrogate/test_sk_random_forest.py

Dee-Why/lite-bo

804e93b950148fb98b7e52bd56c713edacdb9b6c

[ "BSD-3-Clause" ]

184

2021-06-02T06:35:25.000Z

2022-03-31T10:33:11.000Z

test/surrogate/test_sk_random_forest.py

ZongWei-HUST/open-box

011791aba4e44b20a6544020c73601638886d143

[ "MIT" ]

16

2021-11-15T11:13:57.000Z

2022-03-24T12:51:17.000Z

test/surrogate/test_sk_random_forest.py

ZongWei-HUST/open-box

011791aba4e44b20a6544020c73601638886d143

[ "MIT" ]

24

2021-06-18T04:52:57.000Z

2022-03-30T11:14:03.000Z

from sklearn.ensemble import RandomForestRegressor from openbox.utils.config_space import ConfigurationSpace from openbox.utils.config_space import UniformFloatHyperparameter, \ CategoricalHyperparameter, Constant, UniformIntegerHyperparameter import numpy as np from openbox.utils.config_space.util import convert_c...

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null

0

null

0

1

0

4dcf592e4a02e009b4cb4e7b4d57ff918fb14acc

3,258

py

Python

cli_wrapper.py

anirbandas18/report-engine

de7d3c0caab972243a61e681abbb9a06e9c54857

[ "MIT" ]

null

cli_wrapper.py

anirbandas18/report-engine

de7d3c0caab972243a61e681abbb9a06e9c54857

[ "MIT" ]

null

cli_wrapper.py

anirbandas18/report-engine

de7d3c0caab972243a61e681abbb9a06e9c54857

[ "MIT" ]

null

import subprocess, os # constants with global scope INPUT = "--input" OUTPUT = "--output" FILTERS = "--filters" SUPPPLEMENTS = "--supplements" JAR_DIRECTORY = "target" JAR_NAME = "report-engine.jar" def build_jar(): should_package = input("\nBuild " + JAR_NAME + " file from src (Y/N) ? ") # check ...

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null

0

null

0

1

0

4dcfc7f344c60db35f7d0923585dc078c2f43a3c

11,267

py

Python

19-05-150_protein_ridge/inference.py

danhtaihoang/sparse-network

763a19f5f333df5cfa9852d965a7110e813d52d5

[ "MIT" ]

null

19-05-150_protein_ridge/inference.py

danhtaihoang/sparse-network

763a19f5f333df5cfa9852d965a7110e813d52d5

[ "MIT" ]

null

19-05-150_protein_ridge/inference.py

danhtaihoang/sparse-network

763a19f5f333df5cfa9852d965a7110e813d52d5

[ "MIT" ]

null

##======================================================================================== import numpy as np from scipy import linalg from sklearn.preprocessing import OneHotEncoder from scipy.spatial import distance #========================================================================================= def itab(n...

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0

null

0

null

0

1

0

4dd0b98da97f43f66eaf8f6486394d5b6746b436

5,050

py

Python

scraper.py

quake0day/chessreview

1cb1aa6689f2db46546da9b1bf328da25b1b67ba

[ "Apache-2.0" ]

null

scraper.py

quake0day/chessreview

1cb1aa6689f2db46546da9b1bf328da25b1b67ba

[ "Apache-2.0" ]

null

scraper.py

quake0day/chessreview

1cb1aa6689f2db46546da9b1bf328da25b1b67ba

[ "Apache-2.0" ]

null

""" PGN Scraper is a small program which downloads each of a user's archived games from chess.com and stores them in a pgn file. When running the user is asked for the account name which shall be scraped and for game types. The scraper only downloads games of the correct type. Supported types are: bullet, rapid, blitz...

31.36646

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null

0

null

0

1

0

4dd0f6aca6f1e8e85ab78942074e05e47cb24566

2,117

py

Python

testpro1/DB_handler_jjd.py

dongkakika/OXS

95166365fb5e35155af3b8de6859ec87f3d9ca78

[ "MIT" ]

4

2020-04-22T08:42:01.000Z

2021-07-31T19:28:51.000Z

testpro1/DB_handler_jjd.py

dongkakika/OXS

95166365fb5e35155af3b8de6859ec87f3d9ca78

[ "MIT" ]

null

testpro1/DB_handler_jjd.py

dongkakika/OXS

95166365fb5e35155af3b8de6859ec87f3d9ca78

[ "MIT" ]

null

import sqlite3 import codecs # for using '한글' import os # 타이틀 정보 읽어오기 f = codecs.open("jjd_info_title.txt", "r") title_list = [] while True: line = f.readline() # 한 줄씩 읽 if not line: break # break the loop when it's End Of File title_list.append(line) # split the line and append it to...

28.608108

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0

0.009518

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null

0

null

0

1

0

4dd104cc2e6c9e4bdd3ba911a3d5a31df0366e7f

429

py

Python

scripts/regression_tests.py

zhangxaochen/Opt

7f1af802bfc84cc9ef1adb9facbe4957078f529a

[ "MIT" ]

260

2017-03-02T19:57:51.000Z

2022-01-21T03:52:03.000Z

scripts/regression_tests.py

zhangxaochen/Opt

7f1af802bfc84cc9ef1adb9facbe4957078f529a

[ "MIT" ]

102

2017-03-03T00:42:56.000Z

2022-03-30T14:15:20.000Z

scripts/regression_tests.py

zhangxaochen/Opt

7f1af802bfc84cc9ef1adb9facbe4957078f529a

[ "MIT" ]

71

2017-03-02T20:22:33.000Z

2022-01-02T03:49:04.000Z

from opt_utils import * import argparse parser = argparse.ArgumentParser() parser.add_argument("-s", "--skip_compilation", action='store_true', help="skip compilation") args = parser.parse_args() if not args.skip_compilation: compile_all_opt_examples() for example in all_examples: args = [] output = run_example(ex...

28.6

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429

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0

0.114219

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14

94

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0.130536

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

4dd73302eae1ae2e039d31c3cb2e7f24834961a5

6,452

py

Python

deeppavlov/deep.py

cclauss/DeepPavlov

8726173c92994b3f789790b5879052d2f7953f47

[ "Apache-2.0" ]

3

2020-04-16T04:25:10.000Z

2021-05-07T23:04:43.000Z

deeppavlov/deep.py

sachinsingh3107/Deeppavlov_Chatbot

f10b9485c118cdec69e73c89833a1a5a164404de

[ "Apache-2.0" ]

12

2020-01-28T22:14:04.000Z

2022-02-10T00:10:17.000Z

deeppavlov/deep.py

sachinsingh3107/Deeppavlov_Chatbot

f10b9485c118cdec69e73c89833a1a5a164404de

[ "Apache-2.0" ]

1

2021-02-05T13:01:48.000Z

""" Copyright 2017 Neural Networks and Deep Learning lab, MIPT 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 a...

47.094891

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0.148517

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null

0

null

0

1

0

4dd85a981091c632d855dbb819f62a7e6d570ba9

59,286

py

Python

pype/plugins/global/publish/extract_review.py

barklaya/pype

db3f708b1918d4f81951b36e1575eb3ecf0551c5

[ "MIT" ]

null

pype/plugins/global/publish/extract_review.py

barklaya/pype

db3f708b1918d4f81951b36e1575eb3ecf0551c5

[ "MIT" ]

null

pype/plugins/global/publish/extract_review.py

barklaya/pype

db3f708b1918d4f81951b36e1575eb3ecf0551c5

[ "MIT" ]

null

import os import re import copy import json import pyblish.api import clique import pype.api import pype.lib class ExtractReview(pyblish.api.InstancePlugin): """Extracting Review mov file for Ftrack Compulsory attribute of representation is tags list with "review", otherwise the representation is ignored...

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0.300816

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0.143991

0.116982

0.104572

0

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0

0.077767

0

null

0

null

0

1

0

4dd8bacf6b045e8713670a0e2435de01e5e09f0a

6,683

py

Python

tests/peerfinder_test.py

wusel42/PeerFinder

35f132b45f2947902adfb6327ebcdf60bce4bdc2

[ "MIT" ]

49

2017-07-13T13:58:14.000Z

2022-03-04T12:23:35.000Z

tests/peerfinder_test.py

wusel42/PeerFinder

35f132b45f2947902adfb6327ebcdf60bce4bdc2

[ "MIT" ]

9

2017-07-11T13:23:15.000Z

2021-02-06T22:25:15.000Z

tests/peerfinder_test.py

wusel42/PeerFinder

35f132b45f2947902adfb6327ebcdf60bce4bdc2

[ "MIT" ]

17

2017-07-11T12:37:25.000Z

2022-01-29T14:19:35.000Z

import unittest from unittest.mock import Mock import mock import peerfinder.peerfinder as peerfinder import requests from ipaddress import IPv6Address, IPv4Address class testPeerFinder(unittest.TestCase): def setUp(self): self.netixlan_set = { "id": 1, "ix_id": 2, "nam...

36.519126

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0

null

0

null

0

1

0

4dd917ca4b89b1723693aa78f18f3c1b80e9acd7

5,372

py

Python

ceilometer/network/notifications.py

rackerlabs/instrumented-ceilometer

6ac5215ac0476120d9c99adcabc9cad0d32963da

[ "Apache-2.0" ]

3

2021-04-18T00:37:48.000Z

2021-07-21T10:20:11.000Z

ceilometer/network/notifications.py

lexxito/monitoring

bec8dfb8d3610331c7ae5ec543e0b8da0948c164

[ "Apache-2.0" ]

null

ceilometer/network/notifications.py

lexxito/monitoring

bec8dfb8d3610331c7ae5ec543e0b8da0948c164

[ "Apache-2.0" ]

null

# -*- encoding: utf-8 -*- # # Copyright © 2012 New Dream Network, LLC (DreamHost) # # Author: Julien Danjou <julien@danjou.info> # # 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:...

32.167665

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0.642033

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0.3375

0

null

0

null

0

1

0

4dda7edb222a2d84997df6163df89166d292eb6b

2,407

py

Python

optax/_src/update_test.py

pierricklee/optax

a75dbf99ce7af05e18bb6a2c518531ddc7303d13

[ "Apache-2.0" ]

2

2021-03-13T23:25:27.000Z

2022-03-09T09:38:27.000Z

optax/_src/update_test.py

rwightman/optax

ba0bc11d172054d65b4387ecae840c04e2bc7035

[ "Apache-2.0" ]

null

optax/_src/update_test.py

rwightman/optax

ba0bc11d172054d65b4387ecae840c04e2bc7035

[ "Apache-2.0" ]

null

# Lint as: python3 # Copyright 2019 DeepMind Technologies Limited. 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 # # ...

33.901408

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0.219512

0

null

0

null

0

1

0

4ddd26506c5a2c32c298c1cac79c89b498178da9

7,206

py

Python

mesh.py

msellens/pms

d175fded80087a907e8fab6ae09f6d1be69b3353

[ "MIT" ]

null

mesh.py

msellens/pms

d175fded80087a907e8fab6ae09f6d1be69b3353

[ "MIT" ]

null

mesh.py

msellens/pms

d175fded80087a907e8fab6ae09f6d1be69b3353

[ "MIT" ]

null

from itertools import product import struct import pickle import numpy as np from scipy import sparse from scipy import isnan as scipy_isnan import numpy.matlib ASCII_FACET = """facet normal 0 0 0 outer loop vertex {face[0][0]:.4f} {face[0][1]:.4f} {face[0][2]:.4f} vertex {face[1][0]:.4f} {face[1][1]:.4f} {face[1][2]...

28.709163

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7,206

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0.012589

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0.225282

0.194597

0.151062

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0.015707

0

null

0

null

0

1

0

4ddd878eccdd7091a7bbb342e9e801e07d0428f5

4,759

py

Python

vaccine.py

brannbrann/findavaccinesms

91e21a91a25d69efed3266c2ccbb5b0e76f5ca1b

[ "Apache-2.0" ]

null

vaccine.py

brannbrann/findavaccinesms

91e21a91a25d69efed3266c2ccbb5b0e76f5ca1b

[ "Apache-2.0" ]

null

vaccine.py

brannbrann/findavaccinesms

91e21a91a25d69efed3266c2ccbb5b0e76f5ca1b

[ "Apache-2.0" ]

null

''' This is a python script that requires you have python installed, or in a cloud environment. This script scrapes the CVS website looking for vaccine appointments in the cities you list. To update for your area, update the locations commented below. If you receive an error that says something is not installed, type...

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0.077922

0

null

0

null

0

1

0

4de04f66464c9444c5a3decd7af60b9026030890

6,643

py

Python

examples/viewer3DVolume.py

vincefn/silx

4b239abfc90d2fa7d6ab61425f8bfc7b83c0f444

[ "CC0-1.0", "MIT" ]

null

examples/viewer3DVolume.py

vincefn/silx

4b239abfc90d2fa7d6ab61425f8bfc7b83c0f444

[ "CC0-1.0", "MIT" ]

null

examples/viewer3DVolume.py

vincefn/silx

4b239abfc90d2fa7d6ab61425f8bfc7b83c0f444

[ "CC0-1.0", "MIT" ]

1

2017-04-02T18:00:14.000Z

# coding: utf-8 # /*########################################################################## # # Copyright (c) 2016-2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to d...

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1

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0

0.09009

0

0.135135

0

null

0

null

0

1

0

4de340ca20d63248997dbff4ccd4dfac76793fb6

294

py

Python

EXC/CW1/task7/mapper.py

easyCZ/UoE-Projects

7651c8caf329c4f7b4562eba441bfc24124cfcfd

[ "BSD-2-Clause" ]

null

EXC/CW1/task7/mapper.py

easyCZ/UoE-Projects

7651c8caf329c4f7b4562eba441bfc24124cfcfd

[ "BSD-2-Clause" ]

1

2022-02-23T07:34:53.000Z

EXC/CW1/task7/mapper.py

easyCZ/UoE-Projects

7651c8caf329c4f7b4562eba441bfc24124cfcfd

[ "BSD-2-Clause" ]

null

#!/usr/bin/python # mapper.py import sys for line in sys.stdin: row, values = line.strip().split('\t') row_values = values.split(' ') for (col, col_value) in enumerate(row_values): # out: <col> <row> <value> print("{0}\t{1}\t{2}".format(col, row, col_value))

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294

3.733333

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0.0131

0.221088

294

11

58

26.727273

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0.072034

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0.166667

0

0.166667

0

null

0

null

0

1

0

4de6e32302e33f5a63e0ba995f624e069fef3439

1,849

py

Python

Fig8_RTM/RTM.py

GeoCode-polymtl/Seis_float16

5f9660cbdc37e5ab7f6054f7547df2ffb661a81d

[ "MIT" ]

null

Fig8_RTM/RTM.py

GeoCode-polymtl/Seis_float16

5f9660cbdc37e5ab7f6054f7547df2ffb661a81d

[ "MIT" ]

5

2020-01-28T22:17:04.000Z

2022-02-09T23:33:07.000Z

Fig8_RTM/RTM.py

GeoCode-polymtl/Seis_float16

5f9660cbdc37e5ab7f6054f7547df2ffb661a81d

[ "MIT" ]

3

2019-11-27T06:06:04.000Z

2020-06-05T17:18:15.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Perform RTM on marmousi """ import os import numpy as np import h5py as h5 from scipy.ndimage.filters import gaussian_filter import sys import shutil from SeisCL import SeisCL names = ['fp32', 'fp16io', 'fp16com'] filedata = os.getcwd() + '/marmfp32' seis = SeisCL() ...

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0

null

0

null

0

1

0

4de77886992362775de86d085f926f5ea3304df0

954

py

Python

doc/default_issue/fix.py

nadavweidman/pytconf

6203d3607c1cc383c60d1c138efc1109c7a6ab59

[ "MIT" ]

null

doc/default_issue/fix.py

nadavweidman/pytconf

6203d3607c1cc383c60d1c138efc1109c7a6ab59

[ "MIT" ]

1

2021-12-03T11:35:46.000Z

2021-12-03T11:52:52.000Z

doc/default_issue/fix.py

nadavweidman/pytconf

6203d3607c1cc383c60d1c138efc1109c7a6ab59

[ "MIT" ]

8

2021-12-03T11:07:55.000Z

2022-03-23T13:35:05.000Z

#!/usr/bin/python3 from typing import List from registry import the_registry from param_collector import the_collector class MetaConfig(type): """ Meta class for all configs """ def __new__(mcs, name, bases, namespace): ret = super().__new__(mcs, name, bases, namespace) i = 0 ...

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0

null

0

null

0

1

0

4de80e2e1c94dbe6762d16201a946a481593a775

543

py

Python

solutions/python3/problem1556.py

tjyiiuan/LeetCode

abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e

[ "MIT" ]

null

solutions/python3/problem1556.py

tjyiiuan/LeetCode

abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e

[ "MIT" ]

null

solutions/python3/problem1556.py

tjyiiuan/LeetCode

abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ 1556. Thousand Separator Given an integer n, add a dot (".") as the thousands separator and return it in string format. Constraints: 0 <= n < 2^31 """ class Solution: def thousandSeparator(self, n: int) -> str: res = "" str_n = str(n) count = 0 ind = ...

19.392857

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543

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0.056

0

0.05

0.410681

543

27

95

20.111111

0.73125

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1

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0

0.214286

0

null

0

null

0

1

0

4de95b2ae160d83f0a0fab9908a283c692256619

6,483

py

Python

app/resources/base.py

smartlab-br/datahub-api

193e71172bb4891a5bbffc902da07ef57df9ab07

[ "MIT" ]

1

2019-07-25T21:15:05.000Z

app/resources/base.py

smartlab-br/datahub-api

193e71172bb4891a5bbffc902da07ef57df9ab07

[ "MIT" ]

44

2019-08-05T15:24:00.000Z

2022-01-31T23:11:31.000Z

app/resources/base.py

smartlab-br/datahub-api

193e71172bb4891a5bbffc902da07ef57df9ab07

[ "MIT" ]

1

2021-05-11T07:49:51.000Z

''' Controller para fornecer dados da CEE ''' from flask_restful import Resource from service.qry_options_builder import QueryOptionsBuilder from model.thematic import Thematic class BaseResource(Resource): ''' Classe de base de resource ''' DEFAULT_SWAGGER_PARAMS = [ {"name": "valor", "required": Fals...

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4.944882

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0

null

0

null

0

1

0

4dea1d4995a7ebb956d68ed48040d475a502bb1f

2,962

py

Python

investimentos.py

isaiaspereira307/invest

ad0aa40dca4ece75fb7dad98415e73dc382f662a

[ "MIT" ]

null

investimentos.py

isaiaspereira307/invest

ad0aa40dca4ece75fb7dad98415e73dc382f662a

[ "MIT" ]

null

investimentos.py

isaiaspereira307/invest

ad0aa40dca4ece75fb7dad98415e73dc382f662a

[ "MIT" ]

null

import json import os def calculo(self): meta = float(input('valor da meta: ')) # 1000000 valorinicial = float(input('valor inicial: ')) # 5637.99 valormensal = float(input('investimento mensal: ')) # 150 dividendos = float(input('dividendos: ')) # 16.86 meta = meta - valorinicial - valormensal - d...

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0.609723

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2,962

4.833333

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0.222725

0

0.0356

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0.095745

0

null

0

null

0

1

0

4dea6041225ae15383493ad1d5f6078ade49cd6b

10,718

py

Python

lib/ipython_view.py

drewp/light9

ab173a40d095051546e532962f7a33ac502943a6

[ "MIT" ]

2

2018-10-05T13:32:46.000Z

2022-01-01T22:51:20.000Z

lib/ipython_view.py

drewp/light9

ab173a40d095051546e532962f7a33ac502943a6

[ "MIT" ]

4

2021-06-08T19:33:40.000Z

2022-03-11T23:18:06.000Z

lib/ipython_view.py

drewp/light9

ab173a40d095051546e532962f7a33ac502943a6

[ "MIT" ]

null

# this version is adapted from http://wiki.ipython.org/Old_Embedding/GTK """ Backend to the console plugin. @author: Eitan Isaacson @organization: IBM Corporation @copyright: Copyright (c) 2007 IBM Corporation @license: BSD All rights reserved. This program and the accompanying materials are made available under ...

35.026144

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0

null

0

null

0

1

0

4deba880f54b833c42a876a0e52201d76815fdfb

513

py

Python

todo/urls.py

incomparable/Django

ba2f38f694b1055215559c4ca4173c245918fabf

[ "Apache-2.0" ]

null

todo/urls.py

incomparable/Django

ba2f38f694b1055215559c4ca4173c245918fabf

[ "Apache-2.0" ]

null

todo/urls.py

incomparable/Django

ba2f38f694b1055215559c4ca4173c245918fabf

[ "Apache-2.0" ]

null

from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.index, name='index'), url(r'^get', views.index, name='index'), url(r'^details/(?P<id>\w)/$', views.details, name='details'), url(r'^add', views.add, name='add'), url(r'^delete', views.delete, name='delete'), ...

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0.2

0

0.2

0

null

0

null

0

1

0

4debda04f4303a03d05f73d0f622731078a63cdf

336

py

Python

first_steps_in_coding_and_simple_operations_and_calculations/exercise/charity_campaign.py

PetkoAndreev/Python-basics

a376362548380ae50c7c707551cb821547f44402

[ "MIT" ]

null

first_steps_in_coding_and_simple_operations_and_calculations/exercise/charity_campaign.py

PetkoAndreev/Python-basics

a376362548380ae50c7c707551cb821547f44402

[ "MIT" ]

null

first_steps_in_coding_and_simple_operations_and_calculations/exercise/charity_campaign.py

PetkoAndreev/Python-basics

a376362548380ae50c7c707551cb821547f44402

[ "MIT" ]

null

days = int(input()) sladkar = int(input()) cake = int(input()) gofreta = int(input()) pancake = int(input()) cake_price = cake*45 gofreta_price = gofreta*5.8 pancake_price = pancake*3.2 day_price = (cake_price + gofreta_price + pancake_price)*sladkar total_price = days*day_price campaign = total_price - (total_price/8)...

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0

1

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false

0

0.083333

0

null

0

null

0

1

0

4dec80c0904955f695f9881970d5b2f7945e222c

9,234

py

Python

deepbiome/loss_and_metric.py

Young-won/deepbiome

644bc226f1149038d0af7203a03a77ca6e931835

[ "BSD-3-Clause" ]

4

2019-10-20T15:56:19.000Z

2021-03-17T16:48:35.000Z

deepbiome/loss_and_metric.py

Young-won/deepbiome

644bc226f1149038d0af7203a03a77ca6e931835

[ "BSD-3-Clause" ]

1

2019-11-11T22:47:57.000Z

deepbiome/loss_and_metric.py

Young-won/deepbiome

644bc226f1149038d0af7203a03a77ca6e931835

[ "BSD-3-Clause" ]

1

2019-11-11T18:17:58.000Z

###################################################################### ## DeepBiome ## - Loss and metrics (mse, cross-entropy) ## ## July 10. 2019 ## Youngwon (youngwon08@gmail.com) ## ## Reference ## - Keras (https://github.com/keras-team/keras) ###################################################################### i...

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0

null

0

null

0

1

0

4ded2765ebba38c75e11130b9978c0647bfd5359

3,177

py

Python

Hough.py

andresgmz/Scripts-Python

1f56e5790dc9c38d9bbf5dc040ead45a8f3ca937

[ "MIT" ]

null

Hough.py

andresgmz/Scripts-Python

1f56e5790dc9c38d9bbf5dc040ead45a8f3ca937

[ "MIT" ]

null

Hough.py

andresgmz/Scripts-Python

1f56e5790dc9c38d9bbf5dc040ead45a8f3ca937

[ "MIT" ]

null

import cv2 import numpy as np import matplotlib.pyplot as plt #from matplotlib import pyplot as plt from tkinter import filedialog from tkinter import * root = Tk() root.withdraw() root.filename = filedialog.askopenfilename(initialdir = "/",title = "Select file",filetypes = (("all files",".*"),("jpg files","...

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0

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0

null

0

null

0

1

0

4dee15ccda1b59264009aac028177487941365ec

3,927

py

Python

src/SentimentAnalyzer.py

IChowdhury01/Sentiment-Analyzer

0a566365eed00b0e76feb77c638579dd80f75068

[ "MIT" ]

null

src/SentimentAnalyzer.py

IChowdhury01/Sentiment-Analyzer

0a566365eed00b0e76feb77c638579dd80f75068

[ "MIT" ]

null

src/SentimentAnalyzer.py

IChowdhury01/Sentiment-Analyzer

0a566365eed00b0e76feb77c638579dd80f75068

[ "MIT" ]

null

# Binary Sentiment Analysis using Recurrent Neural Networks # Import libraries & dataset list import tensorflow as tf import tensorflow_datasets as dslist # Load Dataset print("\nLoading dataset...") # Download dataset and dataset info DATASET_CODE = 'imdb_reviews/subwords8k' # Usin...

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0

null

0

null

0

1

0

4dee9911d375f6b557bb57e2701f998ccd07ef1c

5,146

py

Python

google_image_scraping_script_for_arg.py

KuoYuHong/Shihu-Cat-Image-Recognition-System

5f184e4902fa6edb4602f01369b56ef03ad4790d

[ "MIT" ]

1

2021-11-24T14:46:06.000Z

google_image_scraping_script_for_arg.py

KuoYuHong/Shihu-Cat-Image-Recognition-System

5f184e4902fa6edb4602f01369b56ef03ad4790d

[ "MIT" ]

null

google_image_scraping_script_for_arg.py

KuoYuHong/Shihu-Cat-Image-Recognition-System

5f184e4902fa6edb4602f01369b56ef03ad4790d

[ "MIT" ]

null

import selenium from selenium import webdriver import time import requests import os from PIL import Image import io import hashlib # All in same directory DRIVER_PATH = 'chromedriver.exe' def fetch_image_urls(query:str, max_links_to_fetch:int, wd:webdriver, sleep_between_interactions:int=0.5): def scroll_to_end...

36.496454

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5,146

4.616085

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false

0.009901

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0.138614

0.158416

0

null

0

null

0

1

0

4df16cb84c883d268ef0671570a73d61fad65816

1,515

py

Python

pyslowloris/utils.py

goasdsdkai/daas

78ef23b254893efca22748fe619ef22648b8c1e8

[ "MIT" ]

75

2017-06-15T05:58:02.000Z

2022-03-31T22:59:25.000Z

pyslowloris/utils.py

goasdsdkai/daas

78ef23b254893efca22748fe619ef22648b8c1e8

[ "MIT" ]

8

2017-08-25T04:14:19.000Z

2021-09-10T06:21:33.000Z

pyslowloris/utils.py

goasdsdkai/daas

78ef23b254893efca22748fe619ef22648b8c1e8

[ "MIT" ]

32

2017-03-22T22:52:26.000Z

2022-03-07T15:53:01.000Z

""" MIT License Copyright (c) 2020 Maxim Krivich 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, publish,...

36.95122

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0

null

0

null

0

1

0

4df1faa8f49c3cdacafcecb2f8765081676e89ad

5,305

py

Python

brahe/data_models/geojson.py

duncaneddy/brahe

4a1746ef3c14211b0709de6e7e34b6f52fc0e686

[ "MIT" ]

14

2019-05-29T13:36:55.000Z

2022-02-11T15:26:13.000Z

brahe/data_models/geojson.py

duncaneddy/brahe

4a1746ef3c14211b0709de6e7e34b6f52fc0e686

[ "MIT" ]

1

2020-05-27T12:14:39.000Z

2020-05-27T15:51:21.000Z

brahe/data_models/geojson.py

duncaneddy/brahe

4a1746ef3c14211b0709de6e7e34b6f52fc0e686

[ "MIT" ]

2

2019-10-24T05:20:54.000Z

2019-12-08T03:59:10.000Z

"""The geojson module provides data model classes for initialization and storing of GeoJSON objects. """ import typing import typing_extensions import pydantic import numpy as np import brahe.astro as astro import brahe.coordinates as coords import brahe.frames as frames geographic_point = pydantic.conlist(float, mi...

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false

0

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0

0.304348

0

null

0

null

0

1

0

4df2f7977ee6df4348bd5f199099edb4427af89e

521

py

Python

lab7/7.7.py

rikudo765/algorithms

eb78852143662bc2e42df6271e9a015cfa8ffdd1

[ "MIT" ]

1

2020-11-16T18:46:24.000Z

lab7/7.7.py

rikudo765/algorithms

eb78852143662bc2e42df6271e9a015cfa8ffdd1

[ "MIT" ]

null

lab7/7.7.py

rikudo765/algorithms

eb78852143662bc2e42df6271e9a015cfa8ffdd1

[ "MIT" ]

null

n = int(input()) lst = list(map(int, input().split())) def sort1(arr): l = len(arr) for i in range(1, n): cur = arr[i] pos = i check = False while pos > 0: if arr[pos - 1] > cur: check = True arr[pos] = arr[pos - 1] e...

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py

Python

CORE/engines/Gudmundsson_Constraint.py

geoffreynyaga/ostrich-project

157cd7a3c3d9014e31ef21ca21de43f04d039997

[ "MIT" ]

15

2017-11-08T10:03:26.000Z

2021-12-21T07:02:44.000Z

CORE/engines/Gudmundsson_Constraint.py

geoffreynyaga/ostrich-project

157cd7a3c3d9014e31ef21ca21de43f04d039997

[ "MIT" ]

9

2020-01-17T15:09:22.000Z

2022-03-25T19:02:05.000Z

CORE/engines/Gudmundsson_Constraint.py

geoffreynyaga/ostrich-project

157cd7a3c3d9014e31ef21ca21de43f04d039997

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding:utf-8 -*- ################################################################################## # File: c:\Projects\KENYA ONE PROJECT\CORE\engines\Gudmundsson_Constraint.py # # Project: c:\Projects\KENYA ONE PROJECT\CORE\engines # # Created Date: Thur...

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py

Python

libs/blocks/tests/test_variable_filter.py

dendisuhubdy/attention-lvcsr

598d487c118e66875fdd625baa84ed29d283b800

[ "MIT" ]

295

2015-09-25T21:15:04.000Z

2022-01-13T01:16:18.000Z

libs/blocks/tests/test_variable_filter.py

shenshenzhanzhan/attention-lvcsr

598d487c118e66875fdd625baa84ed29d283b800

[ "MIT" ]

21

2015-10-28T19:06:32.000Z

2022-03-11T23:13:05.000Z

libs/blocks/tests/test_variable_filter.py

shenshenzhanzhan/attention-lvcsr

598d487c118e66875fdd625baa84ed29d283b800

[ "MIT" ]

114

2015-09-26T21:23:02.000Z

2021-11-19T02:36:41.000Z

from nose.tools import raises from blocks.bricks import Bias, Linear, Logistic from blocks.bricks.parallel import Merge from blocks.filter import VariableFilter from blocks.graph import ComputationGraph from blocks.roles import BIAS, FILTER, PARAMETER, OUTPUT from theano import tensor def test_variable_filter(): ...

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py

Python

techminer/gui/comparative_analysis.py

jdvelasq/techMiner

c611d96d2f812b0890513514d9d19787a1edfe2d

[ "MIT" ]

2

2020-09-25T02:42:34.000Z

2021-08-22T11:27:58.000Z

techminer/gui/comparative_analysis.py

jdvelasq/techMiner

c611d96d2f812b0890513514d9d19787a1edfe2d

[ "MIT" ]

1

2020-10-17T14:38:45.000Z

2020-10-17T14:50:19.000Z

techminer/gui/comparative_analysis.py

jdvelasq/techMiner

c611d96d2f812b0890513514d9d19787a1edfe2d

[ "MIT" ]

2

2019-10-14T18:05:25.000Z

2021-07-17T19:28:04.000Z

from collections import Counter import pandas as pd import ipywidgets as widgets import techminer.core.dashboard as dash from techminer.core import ( CA, Dashboard, TF_matrix, TFIDF_matrix, add_counters_to_axis, clustering, corpus_filter, exclude_terms, ) # from techminer.core.params...

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4df876adfaa448099ddfc3311827d0272a1fac44

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py

Python

WayOfTheTurtle1.0.py

BYHu-2/-

3243d3a0ccd9144573943b00ac4364dc5c320207

[ "MIT" ]

2

2021-12-25T00:04:12.000Z

2021-12-25T00:14:35.000Z

WayOfTheTurtle1.0.py

BYHu-2/Turtle

3243d3a0ccd9144573943b00ac4364dc5c320207

[ "MIT" ]

null

WayOfTheTurtle1.0.py

BYHu-2/Turtle

3243d3a0ccd9144573943b00ac4364dc5c320207

[ "MIT" ]

null

import sys from PyQt5.QtWidgets import * from PyQt5.QtCore import * from PyQt5.QtGui import * import qtawesome import matplotlib.pyplot as plt import csv import numpy as np import datetime import os class Stack: def __init__(self): self.items=[] def isEmpty(self): return self.i...

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762

py

Python

setup.py

cclauss/AIF360

4fb4e0d3e4ed65c9b4d7a2d5238881a04cc334c1

[ "Apache-2.0" ]

null

setup.py

cclauss/AIF360

4fb4e0d3e4ed65c9b4d7a2d5238881a04cc334c1

[ "Apache-2.0" ]

null

setup.py

cclauss/AIF360

4fb4e0d3e4ed65c9b4d7a2d5238881a04cc334c1

[ "Apache-2.0" ]

null

from setuptools import setup, find_packages with open("README.md", "r") as fh: long_description = fh.read() setup(name='aif360', version='0.1.0', description='IBM AI Fairness 360', author='aif360 developers', author_email='aif360@us.ibm.com', url='https://github.com/IBM/AIF360', ...

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4dfbb4858f95304472fccbca8344763f96bb417e

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py

Python

engine.py

kevioconnor/day0

6a72bf55dba1021850b810e647c87cb53ef86763

[ "MIT" ]

null

engine.py

kevioconnor/day0

6a72bf55dba1021850b810e647c87cb53ef86763

[ "MIT" ]

null

engine.py

kevioconnor/day0

6a72bf55dba1021850b810e647c87cb53ef86763

[ "MIT" ]

null

from __future__ import annotations import lzma, pickle from typing import TYPE_CHECKING from numpy import e from tcod.console import Console from tcod.map import compute_fov import exceptions, render_functions from message_log import MessageLog if TYPE_CHECKING: from entity import Actor from game_map import...

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null

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1

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15005a003729bb6329d26f74028fc03fd8df4427

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py

Python

examples/other/text_frontend/test_g2p.py

zh794390558/DeepSpeech

34178893327ad359cb816e55d7c66a10244fa08a

[ "Apache-2.0" ]

null

examples/other/text_frontend/test_g2p.py

zh794390558/DeepSpeech

34178893327ad359cb816e55d7c66a10244fa08a

[ "Apache-2.0" ]

null

examples/other/text_frontend/test_g2p.py

zh794390558/DeepSpeech

34178893327ad359cb816e55d7c66a10244fa08a

[ "Apache-2.0" ]

null

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

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null

0

null

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15011a09f8a6b93bb0cb155a2b3d2cf4e30e89b7

530

py

Python

data_split.py

DataXujing/ExtremeNet-Pytorch

fc8bf91cb748c144e85d2de271aea117ea54e808

[ "BSD-3-Clause" ]

9

2020-01-15T05:54:54.000Z

2021-12-08T06:01:37.000Z

data_split.py

DataXujing/ExtremeNet-Pytorch

fc8bf91cb748c144e85d2de271aea117ea54e808

[ "BSD-3-Clause" ]

3

2020-12-01T10:26:19.000Z

2021-01-20T07:51:47.000Z

data_split.py

DataXujing/ExtremeNet-Pytorch

fc8bf91cb748c144e85d2de271aea117ea54e808

[ "BSD-3-Clause" ]

3

2020-03-31T14:40:08.000Z

2021-02-22T07:49:34.000Z

# VOC分割训练集和测试集 import os import random import shutil trainval_percent = 0.1 train_percent = 0.9 imgfilepath = '../myData/JPEGImages' #原数据存放地 total_img = os.listdir(imgfilepath) sample_num = len(total_img) trains = random.sample(total_img,int(sample_num*train_percent)) for file in total_img: if file in trains...

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null

0

null

0

1

0

1504effc59c426c8cdd37004ed34fbfb801a2d4e

8,619

py

Python

utils/models.py

miladalipour99/time_series_augmentation

3c314468df689a70e84ae6b433f9cdf5bae63400

[ "Apache-2.0" ]

140

2020-04-21T05:01:42.000Z

2022-03-30T20:03:21.000Z

utils/models.py

miladalipour99/time_series_augmentation

3c314468df689a70e84ae6b433f9cdf5bae63400

[ "Apache-2.0" ]

5

2021-06-08T01:43:46.000Z

2021-12-22T11:37:28.000Z

utils/models.py

miladalipour99/time_series_augmentation

3c314468df689a70e84ae6b433f9cdf5bae63400

[ "Apache-2.0" ]

32

2020-04-26T14:00:58.000Z

2022-03-09T01:25:32.000Z

from tensorflow.keras.models import Model from tensorflow.keras.layers import Dense, Flatten, Dropout, Input from tensorflow.keras.layers import MaxPooling1D, Conv1D from tensorflow.keras.layers import LSTM, Bidirectional from tensorflow.keras.layers import BatchNormalization, GlobalAveragePooling1D, Permute, concatena...

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null

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1504fcdc48e346e97fc1b686d7489c610536fa41

2,468

py

Python

ai_flow/test/util/test_sqlalchemy_db.py

flink-extended/ai-flow

d1427a243097d94d77fedbe1966500ae26975a13

[ "Apache-2.0" ]

79

2021-10-15T07:32:27.000Z

2022-03-28T04:10:19.000Z

ai_flow/test/util/test_sqlalchemy_db.py

flink-extended/ai-flow

d1427a243097d94d77fedbe1966500ae26975a13

[ "Apache-2.0" ]

153

2021-10-15T05:23:46.000Z

2022-02-23T06:07:10.000Z

ai_flow/test/util/test_sqlalchemy_db.py

flink-extended/ai-flow

d1427a243097d94d77fedbe1966500ae26975a13

[ "Apache-2.0" ]

23

2021-10-15T02:36:37.000Z

2022-03-17T02:59:27.000Z

# Copyright 2022 The AI Flow Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wri...

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null

0

null

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15073013e66266b93b368bf7d20e3350da16c0c6

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py

Python

comm.py

thedognexttothetrashcan/spi_tmall

021dc9a6a23841373000a5f09ca300abd376ad15

[ "Apache-2.0" ]

null

comm.py

thedognexttothetrashcan/spi_tmall

021dc9a6a23841373000a5f09ca300abd376ad15

[ "Apache-2.0" ]

null

comm.py

thedognexttothetrashcan/spi_tmall

021dc9a6a23841373000a5f09ca300abd376ad15

[ "Apache-2.0" ]

null

#! /usr/bin/python # encoding=utf-8 import os import datetime,time from selenium import webdriver import config import threading import numpy as np def writelog(msg,log): nt=datetime.datetime.now().strftime('%Y-%m-%d %H-%M-%S') text="[%s] %s " % (nt,msg) os.system("echo %s >> %s" % (text.encode('utf8'),l...

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15077392ea3f2519132c06a08d94b11524ea1c19

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py

Python

sherlockpipe/objectinfo/preparer/LightcurveBuilder.py

LuisCerdenoMota/SHERLOCK

5fb52795d3ab44e27bc7dbc6f2c2e6c214995ba1

[ "MIT" ]

null

sherlockpipe/objectinfo/preparer/LightcurveBuilder.py

LuisCerdenoMota/SHERLOCK

5fb52795d3ab44e27bc7dbc6f2c2e6c214995ba1

[ "MIT" ]

null

sherlockpipe/objectinfo/preparer/LightcurveBuilder.py

LuisCerdenoMota/SHERLOCK

5fb52795d3ab44e27bc7dbc6f2c2e6c214995ba1

[ "MIT" ]

null

import re from abc import ABC, abstractmethod from sherlockpipe.star.EpicStarCatalog import EpicStarCatalog from sherlockpipe.star.KicStarCatalog import KicStarCatalog from sherlockpipe.star.TicStarCatalog import TicStarCatalog class LightcurveBuilder(ABC): OBJECT_ID_REGEX = "^(KIC|TIC|EPIC)[-_ ]([0-9]+)$" NU...

38.634146

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null

0

null

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1507c96d9d4f256bc65da807cd5af86c8c25fb94

6,371

py

Python

dft/dft-hartree-hydrogen.py

marvinfriede/projects

7050cd76880c8ff0d9de17b8676e82f1929a68e0

[ "MIT" ]

null

dft/dft-hartree-hydrogen.py

marvinfriede/projects

7050cd76880c8ff0d9de17b8676e82f1929a68e0

[ "MIT" ]

3

2021-04-14T20:15:26.000Z

2021-04-14T20:20:54.000Z

dft/dft-hartree-hydrogen.py

marvinfriede/projects

7050cd76880c8ff0d9de17b8676e82f1929a68e0

[ "MIT" ]

null

#!/bin/env python3 # coding: utf8 ''' My implementation of DFT Assignment 5.1: Hartree energy for H-atom GS Taught by René Wirnata in 2019/2020. Links: https://tu-freiberg.de/fakultaet2/thph/lehre/density-functional-theory https://github.com/PandaScience/teaching-resources This script uses the last assignment's ...

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null

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1

0

1507f85202e8ecdff0fe986b123a48f1bb2bac41

18,714

py

Python

workflow & analyses notebooks/fukushima_telomere_methods.py

Jared-Luxton/Fukushima-Nuclear-Disaster-Humans

1cb84f63172005f3bd8947d2bca041deaeec90e8

[ "MIT" ]

null

workflow & analyses notebooks/fukushima_telomere_methods.py

Jared-Luxton/Fukushima-Nuclear-Disaster-Humans

1cb84f63172005f3bd8947d2bca041deaeec90e8

[ "MIT" ]

null

workflow & analyses notebooks/fukushima_telomere_methods.py

Jared-Luxton/Fukushima-Nuclear-Disaster-Humans

1cb84f63172005f3bd8947d2bca041deaeec90e8

[ "MIT" ]

1

2021-05-23T22:06:17.000Z

import numpy as np import pandas as pd import os import matplotlib.pyplot as plt from sklearn import datasets, linear_model from difflib import SequenceMatcher import seaborn as sns from statistics import mean from ast import literal_eval from scipy import stats from sklearn.linear_model import LinearRegression from s...

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1

0

1508aa76e743b64f436cbb0a8c19cf6751c48d1b

4,684

py

Python

src/xia2/cli/report.py

graeme-winter/xia2

e00d688137d4ddb4b125be9a3f37ae00265886c2

[ "BSD-3-Clause" ]

10

2015-10-30T06:36:55.000Z

2021-12-10T20:06:22.000Z

src/xia2/cli/report.py

graeme-winter/xia2

e00d688137d4ddb4b125be9a3f37ae00265886c2

[ "BSD-3-Clause" ]

528

2015-11-24T08:20:12.000Z

2022-03-21T21:47:29.000Z

src/xia2/cli/report.py

graeme-winter/xia2

e00d688137d4ddb4b125be9a3f37ae00265886c2

[ "BSD-3-Clause" ]

14

2016-03-15T22:07:03.000Z

2020-12-14T07:13:35.000Z

import json import os import sys from collections import OrderedDict import iotbx.phil import xia2.Handlers.Streams from dials.util.options import OptionParser from jinja2 import ChoiceLoader, Environment, PackageLoader from xia2.Modules.Report import Report from xia2.XIA2Version import Version phil_scope = iotbx.phi...

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0.02381

0

null

0

null

0

1

0

150e69b2f9539045223d00d448f50c262f488903

1,874

py

Python

attackMain.py

saurabhK99/substitution-cipher

dcf69cd4866ce7408eda6faf03ddd9b601bc3fec

[ "MIT" ]

null

attackMain.py

saurabhK99/substitution-cipher

dcf69cd4866ce7408eda6faf03ddd9b601bc3fec

[ "MIT" ]

null

attackMain.py

saurabhK99/substitution-cipher

dcf69cd4866ce7408eda6faf03ddd9b601bc3fec

[ "MIT" ]

null

from tkinter import * from attack import * #calls letter frequency attack def attack(on, cipherTxt): plainTxt = str() attack = LetterFrequencyAttack(cipherTxt, on) for i in range(10): plainTxt = plainTxt + attack.attack() + '\n\n' answer.config(text = plainTxt) #defining main wi...

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0.042518

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0.20651

1,874

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false

0

0.033898

0

0.050847

0

null

0

null

0

1

0

1512acbfbf9725f996d722bba323e798347b6270

2,407

py

Python

examples/example_pipeline.py

madconsulting/datanectar

7177b907c72c92de31fb136740f33c509ed5d499

[ "Unlicense" ]

null

examples/example_pipeline.py

madconsulting/datanectar

7177b907c72c92de31fb136740f33c509ed5d499

[ "Unlicense" ]

null

examples/example_pipeline.py

madconsulting/datanectar

7177b907c72c92de31fb136740f33c509ed5d499

[ "Unlicense" ]

null

import os import datetime from pathlib import Path import pandas as pd import luigi PROCESSED_DIR = 'processed' ROLLUP_DIR = 'rollups' class PrepareDataTask(luigi.Task): def __init__(self): super().__init__() self.last_processed_id = 0 if os.path.exists('last_processed_id.txt'): ...

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4.541935

0.306452

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0.085227

0.053977

0.174716

0.144886

0.107955

0.069602

0

0.003392

0.26506

2,407

84

94

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0

1

0.145455

false

0

0.090909

0.072727

0.4

0.018182

0

null

0

null

0

1

0

15136d40366243c73182b9f6916a6c550042f55f

1,124

py

Python

kukur/config.py

timeseer-ai/kukur

28210ff0bde396d961b60828782fef56e326b319

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

2

2021-09-12T08:29:30.000Z

2022-01-19T19:06:45.000Z

kukur/config.py

timeseer-ai/kukur

28210ff0bde396d961b60828782fef56e326b319

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

34

2021-03-16T08:21:01.000Z

2022-03-21T07:30:28.000Z

kukur/config.py

timeseer-ai/kukur

28210ff0bde396d961b60828782fef56e326b319

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

1

2021-09-12T08:29:34.000Z

"""Read the Kukur configuration.""" # SPDX-FileCopyrightText: 2021 Timeseer.AI # # SPDX-License-Identifier: Apache-2.0 import glob import toml class InvalidIncludeException(Exception): """Raised when the include configuration is invalid.""" def __init__(self, message: str): Exception.__init__(self, ...

32.114286

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130

1,124

5.053846

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0.042618

0.063927

0.066971

0

0.007547

0.292705

1,124

34

72

33.058824

0.818868

0.19484

0

0.090909

0

0.066516

0

1

0.090909

false

0

0.090909

0

0.272727

0

null

0

null

0

1

0

1514c4cab7976c14d2d2ff2686c1ed82e350d931

3,326

py

Python

scheduletest.py

ambimanus/appsim

8f60b3a736af8aa7f03435c28aef2685a3dbfbe3

[ "MIT" ]

null

scheduletest.py

ambimanus/appsim

8f60b3a736af8aa7f03435c28aef2685a3dbfbe3

[ "MIT" ]

null

scheduletest.py

ambimanus/appsim

8f60b3a736af8aa7f03435c28aef2685a3dbfbe3

[ "MIT" ]

null

import time from datetime import datetime import numpy as np from matplotlib import pyplot as plt from matplotlib.dates import epoch2num import device_factory if __name__ == '__main__': amount = 50 devices = [] for i in range(amount): device = device_factory.ecopower_4(i, i) ...

35.010526

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0.585989

468

3,326

4.066239

0.25

0.067262

0.047294

0.078823

0.376248

0.361534

0.2701

0.232265

0

0.032666

0.26368

3,326

94

89

35.382979

0.744385

0.159651

0

0.203125

0

0.028678

0

1

0

false

0

0.09375

0

0.09375

0

null

0

null

0

1

0

1516d58cc828bc371a33c9b4a9ca474fdb7eba79

8,637

py

Python

lite/tests/unittest_py/pass/test_conv_elementwise_fuser_pass.py

714627034/Paddle-Lite

015ba88a4d639db0b73603e37f83e47be041a4eb

[ "Apache-2.0" ]

808

2018-04-17T17:43:12.000Z

2019-08-18T07:39:13.000Z

lite/tests/unittest_py/pass/test_conv_elementwise_fuser_pass.py

714627034/Paddle-Lite

015ba88a4d639db0b73603e37f83e47be041a4eb

[ "Apache-2.0" ]

728

2018-04-18T08:15:25.000Z

2019-08-16T07:14:43.000Z

lite/tests/unittest_py/pass/test_conv_elementwise_fuser_pass.py

714627034/Paddle-Lite

015ba88a4d639db0b73603e37f83e47be041a4eb

[ "Apache-2.0" ]

364

2018-04-18T17:05:02.000Z

2019-08-18T03:25:38.000Z

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

40.359813

125

0.554706

910

8,637

5.028571

0.235165

0.022946

0.024476

0.04458

0.349869

0.298733

0.199301

0.145979

0.11757

0

0.022492

0.341091

8,637

213

126

40.549296

0.781585

0.074447

0

0.283333

0

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0.004012

0

0.004695

0

1

0.033333

false

0.033333

0.061111

0.005556

0.116667

0

null

0

null

0

1

0

1518a255b1570670a775245440b45ebe73fe295d

6,672

py

Python

HDF4_H5_NETCDF/source2.7/h5py/tests/hl/test_datatype.py

Con-Mi/lambda-packs

b23a8464abdd88050b83310e1d0e99c54dac28ab

[ "MIT" ]

31

2018-10-19T15:28:36.000Z

2022-02-14T03:01:25.000Z

h5py/tests/hl/test_datatype.py

EnjoyLifeFund/Debian_py36_packages

1985d4c73fabd5f08f54b922e73a9306e09c77a5

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

13

2020-01-28T22:20:14.000Z

2022-03-11T23:20:14.000Z

h5py/tests/hl/test_datatype.py

EnjoyLifeFund/Debian_py36_packages

1985d4c73fabd5f08f54b922e73a9306e09c77a5

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

10

2019-01-10T04:02:12.000Z

2021-11-17T01:52:15.000Z

""" Tests for the h5py.Datatype class. """ from __future__ import absolute_import from itertools import count import numpy as np import h5py from ..common import ut, TestCase class TestVlen(TestCase): """ Check that storage of vlen strings is carried out correctly. """ def assertVlenArrayEq...

33.527638

78

0.508243

828

6,672

3.992754

0.192029

0.023291

0.038717

0.030853

0.424077

0.384453

0.330611

0.244102

0.193587

0.1585

0

0.02928

0.329436

6,672

198

79

33.69697

0.709656

0.034323

0

0.28

0

0.051214

0

0.133333

1

0.073333

false

0

0.033333

0.013333

0.133333

0

null

0

null

0

1

0

151937c4e4552fde0563a4d7a5da8405bfdf819f

2,278

py

Python

conmon/regex.py

flashdagger/conmon

c6e75f115ad104ea7ecc7b14618efadefadad2f8

[ "MIT" ]

null

conmon/regex.py

flashdagger/conmon

c6e75f115ad104ea7ecc7b14618efadefadad2f8

[ "MIT" ]

null

conmon/regex.py

flashdagger/conmon

c6e75f115ad104ea7ecc7b14618efadefadad2f8

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- import re from typing import Pattern, Tuple, Iterator, Match, Union, Optional, List, Dict from conmon.conan import storage_path DECOLORIZE_REGEX = re.compile(r"[\u001b]\[\d{1,2}m", re.UNICODE) CONAN_DATA_PATH = re.compile( r"""(?x) (?P<path> ([a-z...

28.475

87

0.565847

288

2,278

4.381944

0.378472

0.027734

0.055468

0.035658

0

0.011723

0.251097

2,278

79

88

28.835443

0.728019

0.069798

0

0.076923

0

0.201302

0.065111

0

1

0.076923

false

0

0.057692

0

0.192308

0

null

0

null

0

1

0

15195236d745c09ce968bf6af2311b1a616e1824

5,089

py

Python

src/north/cli/gscli/main.py

falcacicd/goldstone-mgmt

e7348011180e3c2dcd0558636ddc5c21779c7a3f

[ "Apache-2.0" ]

null

src/north/cli/gscli/main.py

falcacicd/goldstone-mgmt

e7348011180e3c2dcd0558636ddc5c21779c7a3f

[ "Apache-2.0" ]

null

src/north/cli/gscli/main.py

falcacicd/goldstone-mgmt

e7348011180e3c2dcd0558636ddc5c21779c7a3f

[ "Apache-2.0" ]

null

#!/usr/bin/env python import sysrepo as sr import argparse from prompt_toolkit import PromptSession from prompt_toolkit.key_binding import KeyBindings from prompt_toolkit.completion import Completer import sys import os import logging import asyncio from .base import Object, InvalidInput, BreakLoop from .onlp impo...

28.751412

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0.592847

588

5,089

4.97619

0.294218

0.030075

0.017772

0.010253

0.082023

0.069036

0.047163

0

0.003033

0.287286

5,089

176

119

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0.803695

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0

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0

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0

0.005682

0

1

0.08871

false

0

0.096774

0.016129

0.282258

0

null

0

null

0

1

0

1519c99cb202a036f7cd0c6cfb24bf58a516d62b

602

py

Python

ClassMethod.py

AdarshKvT/python-oop

b619226807c3a0b434fe9789952cc86dc8cde9b7

[ "Apache-2.0" ]

null

ClassMethod.py

AdarshKvT/python-oop

b619226807c3a0b434fe9789952cc86dc8cde9b7

[ "Apache-2.0" ]

null

ClassMethod.py

AdarshKvT/python-oop

b619226807c3a0b434fe9789952cc86dc8cde9b7

[ "Apache-2.0" ]

null

class Person: number_of_people = 0 def __init__(self, name): print("__init__ initiated") self.name = name print("calling add_person()") Person.add_person() @classmethod def num_of_people(cls): print("initiating num_of_person()") return cls.number_of_peo...

20.066667

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602

4.753247

0.441558

0.10929

0.114754

0.092896

0

0.00883

0.247508

602

29

44

20.758621

0.799117

0.146179

0

0.111111

0

0.168627

0

1

0.166667

false

0

0.333333

0.277778

0

null

0

null

0

1

0

151a77fa24452704d617da768baec7d8f8f8b186

2,668

py

Python

utilities/jaccard_utilities.py

jjc2718/netreg

292540e911cdfbe18ff6fe0f9bfe8e055053d23c

[ "BSD-3-Clause" ]

null

utilities/jaccard_utilities.py

jjc2718/netreg

292540e911cdfbe18ff6fe0f9bfe8e055053d23c

[ "BSD-3-Clause" ]

6

2019-07-12T15:52:31.000Z

2020-01-13T18:14:41.000Z

utilities/jaccard_utilities.py

jjc2718/netreg

292540e911cdfbe18ff6fe0f9bfe8e055053d23c

[ "BSD-3-Clause" ]

1

2019-07-18T18:28:59.000Z

import os import itertools as it import pandas as pd def compute_jaccard(v1, v2): v1, v2 = set(v1), set(v2) intersection = v1.intersection(v2) union = v1.union(v2) return ((len(intersection) / len(union) if len(union) != 0 else 0), len(intersection), len(union)) def get_inter_m...

44.466667

110

0.642054

396

2,668

3.896465

0.121212

0.103694

0.124433

0.155541

0.489955

0.426442

0.316267

0.13221

0.084251

0

0.038249

0.255247

2,668

59

111

45.220339

0.738299

0.013868

0

0.08

0

0.004566

0

1

0.06

false

0

0.06

0

0.18

0

null

0

null

0

1

0