xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

3ce1874797f955e0861f0ec1dfc943c5714b8253

6,192

py

Python

utils.py

kalpetros/greek-dictionary

962f36c299cbb46ffce9c7f78db7c9e513269499

[ "MIT" ]

3

2021-04-27T16:39:12.000Z

2021-11-17T02:15:13.000Z

utils.py

kalpetros/greek-dictionary

962f36c299cbb46ffce9c7f78db7c9e513269499

[ "MIT" ]

null

utils.py

kalpetros/greek-dictionary

962f36c299cbb46ffce9c7f78db7c9e513269499

[ "MIT" ]

1

2021-06-15T23:57:44.000Z

import click import os import requests import shutil import sys import time from bs4 import BeautifulSoup alphabet = [ { 'letter': 'Α', 'pages': 31660 }, { 'letter': 'Β', 'pages': 5050 }, { 'letter': 'Γ', 'pages': 5890 }, { 'letter':...

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py

Python

Log1/HiPyQt3/HiPyQt38QTableWidget.py

codenara/PyQt1

1550920577188e4d318b47fc69ba5ee243092d88

[ "MIT" ]

null

Log1/HiPyQt3/HiPyQt38QTableWidget.py

codenara/PyQt1

1550920577188e4d318b47fc69ba5ee243092d88

[ "MIT" ]

null

Log1/HiPyQt3/HiPyQt38QTableWidget.py

codenara/PyQt1

1550920577188e4d318b47fc69ba5ee243092d88

[ "MIT" ]

null

# HiPyQt version 3.8 # use QTableWidget # use QCheckBox # use QPushButton import sys from PyQt5.QtWidgets import * class MyWindow(QMainWindow): def __init__(self): super().__init__() self.setWindowTitle("Hi PyQt") self.setGeometry(50, 50, 400, 300) # QTableWidget self.tab...

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3cea6fdbaa10d4f4a87f24213944a946b586b65c

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py

Python

predictor.py

abhayraw1/crnn.pytorch

307f2dbf8163148d165ef15cdd522c7c137041e4

[ "MIT" ]

null

predictor.py

abhayraw1/crnn.pytorch

307f2dbf8163148d165ef15cdd522c7c137041e4

[ "MIT" ]

null

predictor.py

abhayraw1/crnn.pytorch

307f2dbf8163148d165ef15cdd522c7c137041e4

[ "MIT" ]

null

import torch from torch.autograd import Variable from . import utils from . import dataset from PIL import Image from pathlib import Path from . import crnn model_path = Path(__file__).parent/'data/crnn.pth' alphabet = '0123456789abcdefghijklmnopqrstuvwxyz' model = crnn.CRNN(32, 1, 37, 256) if torch.cuda.is_availabl...

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3ced3da168b0c4d5fb8345ab35a6e8f79cade777

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py

Python

src/graph_transpiler/webdnn/backend/webgl/kernels/split_axis.py

gunpowder78/webdnn

c659ea49007f91d178ce422a1eebe289516a71ee

[ "MIT" ]

1

2018-07-26T13:52:21.000Z

src/graph_transpiler/webdnn/backend/webgl/kernels/split_axis.py

gunpowder78/webdnn

c659ea49007f91d178ce422a1eebe289516a71ee

[ "MIT" ]

null

src/graph_transpiler/webdnn/backend/webgl/kernels/split_axis.py

gunpowder78/webdnn

c659ea49007f91d178ce422a1eebe289516a71ee

[ "MIT" ]

null

from typing import List, Sequence from webdnn.backend.code_generator.injectors.kernel_name_injector import KernelNameInjector from webdnn.backend.webgl.attributes.channel_mode import ChannelMode, ChannelModeEnum from webdnn.backend.webgl.generator import WebGLDescriptorGenerator from webdnn.backend.webgl.kernel import...

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3cedde962258fae75ef3400a99dada61c8a82bd1

1,244

py

Python

systemstat.py

asl97/asl97-i3bar-status-spacer

83245582cf8973b0d128b5ed806e776e00960c5e

[ "MIT" ]

null

systemstat.py

asl97/asl97-i3bar-status-spacer

83245582cf8973b0d128b5ed806e776e00960c5e

[ "MIT" ]

null

systemstat.py

asl97/asl97-i3bar-status-spacer

83245582cf8973b0d128b5ed806e776e00960c5e

[ "MIT" ]

null

import time import psutil def _parsesendrecv(interface, new, old): up = max(new[interface].bytes_sent - old[interface].bytes_sent, -1) down = max(new[interface].bytes_recv - old[interface].bytes_recv, -1) return up, down class _netlink: def __init__(self): self.old = psutil.net_io_counters(per...

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null

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null

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0

3cefbde68b0741c1883ec538b390be6d177b8949

18,044

py

Python

tests/test_net.py

ciubecca/kalasanty

df99f6814f073f2fb0fbd271d2fbfccb209c4b45

[ "BSD-3-Clause" ]

1

2021-10-19T16:59:31.000Z

tests/test_net.py

ciubecca/kalasanty

df99f6814f073f2fb0fbd271d2fbfccb209c4b45

[ "BSD-3-Clause" ]

null

tests/test_net.py

ciubecca/kalasanty

df99f6814f073f2fb0fbd271d2fbfccb209c4b45

[ "BSD-3-Clause" ]

1

2021-10-20T13:05:56.000Z

import os import numpy as np import h5py import tempfile import pytest from keras import backend as K from keras.layers import Input, Convolution3D, concatenate from keras.models import Model from keras.optimizers import Adam import pybel from tfbio.data import Featurizer from kalasanty.net import dice_np, dice,...

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3cf130cd62278bdee384dab7ff29ec047f8b848a

2,256

py

Python

tests/test_bash_runner.py

rtmigo/svet

06f9c5be7706351c2ef93fae0f9fa97ee69593f7

[ "BSD-3-Clause" ]

5

2021-05-18T19:55:22.000Z

2022-03-07T20:52:19.000Z

tests/test_bash_runner.py

rtmigo/vien

06f9c5be7706351c2ef93fae0f9fa97ee69593f7

[ "BSD-3-Clause" ]

null

tests/test_bash_runner.py

rtmigo/vien

06f9c5be7706351c2ef93fae0f9fa97ee69593f7

[ "BSD-3-Clause" ]

1

2021-05-23T04:04:29.000Z

# SPDX-FileCopyrightText: (c) 2021 Artëm IG <github.com/rtmigo> # SPDX-License-Identifier: BSD-3-Clause import unittest from pathlib import Path from tempfile import TemporaryDirectory from timeit import default_timer as timer from tests.common import is_posix from vien._bash_runner import * from tests.time_limited ...

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3cf1aac57cec16e9686acb6784d6d3e00f8dc890

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py

Python

adversarial/train_adversarial.py

liguge/Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator

e0f2cd042e2c124e73d2982af28fa270263180d8

[ "MIT" ]

1

2022-01-16T03:21:18.000Z

adversarial/train_adversarial.py

liguge/Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator

e0f2cd042e2c124e73d2982af28fa270263180d8

[ "MIT" ]

1

2022-03-29T10:50:48.000Z

2022-03-30T07:14:56.000Z

adversarial/train_adversarial.py

hectorLop/Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator

e0f2cd042e2c124e73d2982af28fa270263180d8

[ "MIT" ]

2

2022-01-16T03:21:54.000Z

2022-03-10T01:17:12.000Z

from typing import Dict, List, Tuple import torch import numpy as np import argparse from torch import nn import yaml import pandas as pd from sklearn.metrics import roc_auc_score from adversarial.adversarial import AdversarialNetwork, Classifier, Discriminator from adversarial.dataset import ( AdversarialDataset,...

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3cf1f4f9c94b916e1af4be610a5cfc8f880bc37a

18,425

py

Python

generate_md.py

wzyjerry/EPO-patent-process

686c0ea6d9122436071c809a238b8348cdf65120

[ "MIT" ]

null

generate_md.py

wzyjerry/EPO-patent-process

686c0ea6d9122436071c809a238b8348cdf65120

[ "MIT" ]

null

generate_md.py

wzyjerry/EPO-patent-process

686c0ea6d9122436071c809a238b8348cdf65120

[ "MIT" ]

null

def trans_date(field: dict) -> str: text = str(field['date']) return '%s.%s.%s' % (text[6:], text[4:6], text[:4]) def trans_4xx(field: dict, lang: str) -> str: text = str(field['bnum']) return '%s %s %s/%s' % (trans_date(field), labels['bulletin'][lang], text[:4], text[4:]) def trans_ipc(field...

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3cf5831f266719f857798ff19bb7f65e432caf03

710

py

Python

Python/287. FindTheDuplicateNumber.py

RaymondWaterlooLi/LeetCode-Solutions

7973d2838b114f1dffc29f436fb660a96b51f660

[ "MIT" ]

263

2020-10-05T18:47:29.000Z

2022-03-31T19:44:46.000Z

Python/287. FindTheDuplicateNumber.py

RaymondWaterlooLi/LeetCode-Solutions

7973d2838b114f1dffc29f436fb660a96b51f660

[ "MIT" ]

1,264

2020-10-05T18:13:05.000Z

2022-03-31T23:16:35.000Z

Python/287. FindTheDuplicateNumber.py

RaymondWaterlooLi/LeetCode-Solutions

7973d2838b114f1dffc29f436fb660a96b51f660

[ "MIT" ]

760

2020-10-05T18:22:51.000Z

2022-03-29T06:06:20.000Z

#Given an array of integers nums containing n + 1 integers where each integer is in the range [1, n] inclusive. #There is only one duplicate number in nums, return this duplicate number. class Solution(object): def findDuplicate(self, nums): #Traversing the list using for loop s = sorted(nums) ...

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0

3cf74e26261f13d85a64a42ef32a7fccd8ef0a55

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py

Python

utils/evaluate_annotation.py

cltl-students/hamersma-agression-causes

11cbfd94031a0a3c84a27afa20d8a539acdab609

[ "MIT" ]

null

utils/evaluate_annotation.py

cltl-students/hamersma-agression-causes

11cbfd94031a0a3c84a27afa20d8a539acdab609

[ "MIT" ]

null

utils/evaluate_annotation.py

cltl-students/hamersma-agression-causes

11cbfd94031a0a3c84a27afa20d8a539acdab609

[ "MIT" ]

null

import pandas as pd from sklearn.metrics import cohen_kappa_score, confusion_matrix import os import seaborn as sns import matplotlib.pyplot as plt import numpy as np dirname = os.path.dirname(__file__) def extract_annotations(files): '''Function that takes a file with the annotations as input and extra...

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3cf9d103d47dd847c7bbdc09c8f10bae634a2961

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py

Python

src/astrild/particles/halo.py

Christovis/wys-ars

bb15f2d392842f9b32de12b5db5c86079bc97105

[ "MIT" ]

3

2021-07-27T14:45:58.000Z

2022-01-31T21:09:46.000Z

src/astrild/particles/halo.py

Christovis/wys-ars

bb15f2d392842f9b32de12b5db5c86079bc97105

[ "MIT" ]

1

2021-11-03T10:47:45.000Z

src/astrild/particles/halo.py

Christovis/wys-ars

bb15f2d392842f9b32de12b5db5c86079bc97105

[ "MIT" ]

1

2021-11-03T10:17:34.000Z

import os from gc import collect from pathlib import Path from typing import List, Optional, Tuple, Type, Union from importlib import import_module import yaml import numpy as np import pandas as pd from sklearn.neighbors import BallTree #from halotools.mock_observables import tpcf_multipole from astrild.particles.e...

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3cfcd1fb4a8c9717754df6618804de4a66eaa349

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py

Python

notebooks/working/_02_tb-Demo-visual-marginal-independence-tests.py

hassanobeid1994/tr_b_causal_2020

1ffaeb7dcefccf5e1f24c459e9a2f140b2a052a5

[ "MIT" ]

null

notebooks/working/_02_tb-Demo-visual-marginal-independence-tests.py

hassanobeid1994/tr_b_causal_2020

1ffaeb7dcefccf5e1f24c459e9a2f140b2a052a5

[ "MIT" ]

89

2020-02-10T02:52:11.000Z

2020-06-23T03:50:27.000Z

notebooks/working/_02_tb-Demo-visual-marginal-independence-tests.py

hassan-obeid/tr_b_causal_2020

1ffaeb7dcefccf5e1f24c459e9a2f140b2a052a5

[ "MIT" ]

null

# --- # jupyter: # jupytext: # formats: ipynb,py,md # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.4.2 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Purpose # The point of th...

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3cfd1eff7aa3274bf5ba215dcc74c84bcd761113

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py

Python

Labs/Lab-4.0 WiFi/5_wifi_logging.py

Josverl/MicroPython-Bootcamp

29f5ccc9768fbea621029dcf6eea9c91ff84c1d5

[ "MIT" ]

4

2018-04-28T13:43:20.000Z

2021-03-11T16:10:35.000Z

Labs/Lab-4.0 WiFi/5_wifi_logging.py

Josverl/MicroPython-Bootcamp

29f5ccc9768fbea621029dcf6eea9c91ff84c1d5

[ "MIT" ]

null

Labs/Lab-4.0 WiFi/5_wifi_logging.py

Josverl/MicroPython-Bootcamp

29f5ccc9768fbea621029dcf6eea9c91ff84c1d5

[ "MIT" ]

null

# import the network module # This module provides access to various network related functions and classes. # https://github.com/loboris/MicroPython_ESP32_psRAM_LoBo/wiki/network import network,utime #pylint: disable=import-error # ---------------------------------------------------------- # Define callback function...

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3cfd92551f129b14e3271b5e4699d932dae50065

681

py

Python

medium/1282.py

nkwib/leetcode

73f7492ba208417d8bf8340b6bf9dc68a6ded7f7

[ "MIT" ]

null

medium/1282.py

nkwib/leetcode

73f7492ba208417d8bf8340b6bf9dc68a6ded7f7

[ "MIT" ]

null

medium/1282.py

nkwib/leetcode

73f7492ba208417d8bf8340b6bf9dc68a6ded7f7

[ "MIT" ]

null

from typing import List class Solution: def groupThePeople(self, groupSizes: List[int]) -> List[List[int]]: def slice_per(source, step): for i in range(0, len(source), step): yield source[i:i + step] groups = {} res = [] for index, person in enumerate(g...

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null

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3cff24ff2a3befb7112dd8c73ae11e32acd5099b

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py

Python

Code/Data_Collection/Web_Scraping/job_scraping/job_scraping/scrapy_crawler.py

gilnribeiro/Work-Project

15ad906ef5e757daed1df9c7547e5703ad496930

[ "MIT" ]

1

2022-01-31T11:31:04.000Z

Code/Data_Collection/Web_Scraping/job_scraping/job_scraping/scrapy_crawler.py

gilnribeiro/Work-Project

15ad906ef5e757daed1df9c7547e5703ad496930

[ "MIT" ]

null

Code/Data_Collection/Web_Scraping/job_scraping/job_scraping/scrapy_crawler.py

gilnribeiro/Work-Project

15ad906ef5e757daed1df9c7547e5703ad496930

[ "MIT" ]

null

# Import spiders from .spiders.bons_empregos import BonsEmpregosSpider from .spiders.cargadetrabalhos import CargaDeTrabalhosSpider from .spiders.emprego_org import EmpregoOrgSpider from .spiders.emprego_xl import EmpregoXlSpider from .spiders.net_empregos import NetEmpregosSpider from twisted.internet import reactor,...

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a70095a05438f3493dabb7b856707d3589d2cc37

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py

Python

sentiment/train/management/commands/train.py

mnvx/sentiment

b24fad4cfc67b0b443e8ab93b08ac1dbcb095a7c

[ "MIT" ]

null

sentiment/train/management/commands/train.py

mnvx/sentiment

b24fad4cfc67b0b443e8ab93b08ac1dbcb095a7c

[ "MIT" ]

null

sentiment/train/management/commands/train.py

mnvx/sentiment

b24fad4cfc67b0b443e8ab93b08ac1dbcb095a7c

[ "MIT" ]

null

import configparser import csv from django.core.management.base import BaseCommand import logging import os from ....common.catalog.sentiment_type import SentimentType from ....common.catalog.source import Source class Command(BaseCommand): help = 'Train the sentiment classifier' def add_arguments(self, pars...

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null

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0

a70361c3e3b8431100d15650b5da10d40acb287d

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py

Python

appzoo/utils/log/__init__.py

streamlit-badge-bot/AppZoo

86547fdc5209fa137b0a6384d63e92f263c1e160

[ "MIT" ]

5

2020-11-05T12:13:45.000Z

2021-11-19T12:26:49.000Z

appzoo/utils/log/__init__.py

streamlit-badge-bot/AppZoo

86547fdc5209fa137b0a6384d63e92f263c1e160

[ "MIT" ]

null

appzoo/utils/log/__init__.py

streamlit-badge-bot/AppZoo

86547fdc5209fa137b0a6384d63e92f263c1e160

[ "MIT" ]

3

2020-11-23T23:06:34.000Z

2021-04-18T02:12:40.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Project : tql-App. # @File : __init__.py # @Time : 2019-12-10 17:24 # @Author : yuanjie # @Email : yuanjie@xiaomi.com # @Software : PyCharm # @Description : from loguru import logger trace = logger.add('runtime_{time}.log', rota...

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null

0

null

0

1

0

a704ebb77dcf3890670eefaa40d9424024056adf

1,850

py

Python

beast/tools/run/helper_functions.py

galaxyumi/beast

f5ce89d73c88ce481b04fc31a8c099c9c19041fb

[ "BSD-3-Clause" ]

21

2017-03-18T13:46:06.000Z

2022-02-21T16:02:10.000Z

beast/tools/run/helper_functions.py

galaxyumi/beast

f5ce89d73c88ce481b04fc31a8c099c9c19041fb

[ "BSD-3-Clause" ]

673

2017-03-12T23:39:28.000Z

2022-03-17T14:07:38.000Z

beast/tools/run/helper_functions.py

galaxyumi/beast

f5ce89d73c88ce481b04fc31a8c099c9c19041fb

[ "BSD-3-Clause" ]

36

2017-03-18T18:00:35.000Z

2021-09-22T06:35:55.000Z

# other imports from multiprocessing import Pool def subcatalog_fname(full_cat_fname, source_density, sub_source_density): """ Return the name of a sub-catalog Parameters ---------- full_cat_fname : string name of the photometry catalog source_density : string the current sou...

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null

0

null

0

1

0

a70572ac4f62a9762d70dcd70a9fd3e4dc437ab3

2,621

py

Python

experiments/sparse_sparsity_fixed_results.py

Remi-Boutin/sparsebm

5979eafff99d59a3b6edac586ee5658529763402

[ "MIT" ]

1

2021-09-22T23:25:25.000Z

experiments/sparse_sparsity_fixed_results.py

Remi-Boutin/sparsebm

5979eafff99d59a3b6edac586ee5658529763402

[ "MIT" ]

null

experiments/sparse_sparsity_fixed_results.py

Remi-Boutin/sparsebm

5979eafff99d59a3b6edac586ee5658529763402

[ "MIT" ]

1

2021-09-08T13:25:15.000Z

from matplotlib import rc # rc("text", usetex=True) import matplotlib # font = {"size": 14} # matplotlib.rc("font", **font) import numpy as np import matplotlib.pyplot as plt import glob import pickle import time import matplotlib.colors as mcolors dataset_files = glob.glob("./experiments/results/sparsity_fixed/*....

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null

0

null

0

1

0

a70af31dd713880205073e138c1e10e6d9d8591d

4,236

py

Python

SerialController/Camera.py

Moi-poke/Poke-Controller-temp

b632f55eb6e5adc0f85f2ba6ef59c1230a5d5606

[ "MIT" ]

3

2021-04-23T06:30:36.000Z

2022-01-04T09:10:25.000Z

SerialController/Camera.py

Moi-poke/Poke-Controller-temp

b632f55eb6e5adc0f85f2ba6ef59c1230a5d5606

[ "MIT" ]

1

2022-01-04T06:33:11.000Z

SerialController/Camera.py

Moi-poke/Poke-Controller-temp

b632f55eb6e5adc0f85f2ba6ef59c1230a5d5606

[ "MIT" ]

6

2021-10-03T05:42:50.000Z

2022-03-15T00:29:09.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import cv2 import datetime import os import numpy as np from logging import getLogger, DEBUG, NullHandler def imwrite(filename, img, params=None): _logger = getLogger(__name__) _logger.addHandler(NullHandler()) _logger.setLevel(DEBUG) _logg...

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null

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1

0

a70ebc7cdf0e76c3a3a02437342d60d6be4b5d1f

4,513

py

Python

test/test_cli.py

Datateer/upload-agent

4684bcf902d6c54baefb08446252a69612bf15a0

[ "MIT" ]

null

test/test_cli.py

Datateer/upload-agent

4684bcf902d6c54baefb08446252a69612bf15a0

[ "MIT" ]

2

2021-02-05T18:58:23.000Z

2021-02-14T15:23:46.000Z

test/test_cli.py

Datateer/upload-agent

4684bcf902d6c54baefb08446252a69612bf15a0

[ "MIT" ]

null

import os from pathlib import Path from unittest.mock import patch from click.testing import CliRunner import pytest from datateer.upload_agent.main import cli from datateer.upload_agent.config import load_config, save_config, save_feed import datateer.upload_agent.constants as constants @pytest.fixture def runner...

41.40367

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4,513

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0.424546

0.419224

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0.102564

0

null

0

null

0

1

0

a70f8fbd9aef0f039b565e8b5e5bf81d26036760

14,899

py

Python

modron/characters.py

WardLT/play-by-post-helper

26df681f2a28510f88e552be628910e4e5fe57bb

[ "MIT" ]

null

modron/characters.py

WardLT/play-by-post-helper

26df681f2a28510f88e552be628910e4e5fe57bb

[ "MIT" ]

13

2020-04-08T02:56:58.000Z

2020-10-04T21:52:43.000Z

modron/characters.py

WardLT/play-by-post-helper

26df681f2a28510f88e552be628910e4e5fe57bb

[ "MIT" ]

null

"""Saving and using information about characters""" import json import os from enum import Enum from typing import Dict, List, Optional, Tuple import yaml from pydantic import BaseModel, Field, validator from modron.config import get_config _config = get_config() def _compute_mod(score: int) -> int: """Compute...

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0.059159

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0

null

0

null

0

1

0

a7101a610a52017f13a5fe2d6d32d405867f9aef

1,558

py

Python

setup.py

Borsos/rubik

af220a142b81a8f5b5011e4e072be9e3d130e827

[ "Apache-2.0" ]

1

2019-11-13T00:44:09.000Z

setup.py

Borsos/rubik

af220a142b81a8f5b5011e4e072be9e3d130e827

[ "Apache-2.0" ]

null

setup.py

Borsos/rubik

af220a142b81a8f5b5011e4e072be9e3d130e827

[ "Apache-2.0" ]

1

2019-11-13T00:47:16.000Z

# # Copyright 2013 Simone Campagna # # 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...

27.333333

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0.668164

200

1,558

5.155

0.575

0.081474

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0.069835

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1,558

56

102

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false

0

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0.121212

0

null

0

null

0

1

0

a710a43bb737f726810f9f83e8727afbf0fbd72e

5,130

py

Python

geco/mips/tests/test_set_cover.py

FreestyleBuild/GeCO

6db1a549b3145b3bc5d3025a9bccc03be6575564

[ "MIT" ]

8

2020-12-16T09:59:05.000Z

2022-03-18T09:48:43.000Z

geco/mips/tests/test_set_cover.py

FreestyleBuild/GeCO

6db1a549b3145b3bc5d3025a9bccc03be6575564

[ "MIT" ]

101

2020-11-09T10:20:03.000Z

2022-03-24T13:50:06.000Z

geco/mips/tests/test_set_cover.py

FreestyleBuild/GeCO

6db1a549b3145b3bc5d3025a9bccc03be6575564

[ "MIT" ]

3

2021-04-06T13:26:03.000Z

2022-03-22T13:22:16.000Z

import collections import itertools import pytest from geco.mips.set_cover.yang import * from geco.mips.set_cover.sun import * from geco.mips.set_cover.orlib import * from geco.mips.set_cover.gasse import * """ Generic Tests """ def test_set_cover_solution_1(): model = set_cover([1], [{0}]) model.optimize(...

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0.501064

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0.152

0

null

0

null

0

1

0

a711b022a699f3a1657ba1bf4a22b34ce38cfe57

2,878

py

Python

hcplot/scales/colors/hue.py

bernhard-42/hcplot

1c791e2b19b173b9b98a3d8914095e3c372c9de4

[ "Apache-2.0" ]

null

hcplot/scales/colors/hue.py

bernhard-42/hcplot

1c791e2b19b173b9b98a3d8914095e3c372c9de4

[ "Apache-2.0" ]

null

hcplot/scales/colors/hue.py

bernhard-42/hcplot

1c791e2b19b173b9b98a3d8914095e3c372c9de4

[ "Apache-2.0" ]

null

# Copyright 2017 Bernhard Walter # # 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 writin...

30.294737

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0.592078

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2,878

4.197044

0.374384

0.035211

0.056338

0.051056

0.174296

0.1473

0

0.041386

0.277971

2,878

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100

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0.778633

0.297429

0

0.318182

0

1

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false

0.045455

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0.295455

0

null

0

null

0

1

0

a7143837d4f1b09881e05cb620fce36372532de7

2,010

py

Python

alipay/aop/api/domain/AlipayEcoCityserviceIndustryEnergySendModel.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

alipay/aop/api/domain/AlipayEcoCityserviceIndustryEnergySendModel.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

alipay/aop/api/domain/AlipayEcoCityserviceIndustryEnergySendModel.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * from alipay.aop.api.domain.EnergyExtRequest import EnergyExtRequest class AlipayEcoCityserviceIndustryEnergySendModel(object): def __init__(self): self._ext_info = None self._outer_no =...

26.8

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2,010

4.557377

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0.000727

0.31592

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0

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0.322034

0

null

0

null

0

1

0

a715a55b0649d434e3e3db7475617b277a5112ae

1,657

py

Python

project_receipt/receipt/urls.py

Guilouf/django-receipt

fb42de12311cd1a20cc28c74a732d818f28ef551

[ "Apache-2.0" ]

null

project_receipt/receipt/urls.py

Guilouf/django-receipt

fb42de12311cd1a20cc28c74a732d818f28ef551

[ "Apache-2.0" ]

8

2021-02-01T12:47:02.000Z

2021-12-13T09:34:38.000Z

project_receipt/receipt/urls.py

Guilouf/django-receipt

fb42de12311cd1a20cc28c74a732d818f28ef551

[ "Apache-2.0" ]

null

from django.urls import path from receipt import views urlpatterns = [ path('', views.ReceiptList.as_view(), name='home'), path('receipt/', views.ReceiptList.as_view(), name='receipt_list'), path('receipt/create', views.ReceiptCreate.as_view(), name='receipt_create'), path('receipt/<int:pk>/edit', vie...

61.37037

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1,657

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0.099653

0.045061

0

0.095353

1,657

26

107

63.730769

0.769847

0

0.33796

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0

1

0

false

0

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0

0.083333

0

null

0

null

0

1

0

a71e3a4361a99f178927d847326e3096eeaee755

4,216

py

Python

utils/common/_common.py

Pzqqt/Django_Transportation_Management_System

f4f0905d8e007920ae190252eeaefbc6ee67ed85

[ "MIT" ]

null

utils/common/_common.py

Pzqqt/Django_Transportation_Management_System

f4f0905d8e007920ae190252eeaefbc6ee67ed85

[ "MIT" ]

null

utils/common/_common.py

Pzqqt/Django_Transportation_Management_System

f4f0905d8e007920ae190252eeaefbc6ee67ed85

[ "MIT" ]

null

from functools import partial from itertools import chain from collections import UserList import logging import traceback from django import forms from django.db.models import Model from django.core.validators import validate_comma_separated_integer_list from django.core.serializers.json import DjangoJSONEncoder from...

35.728814

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0.053343

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0

0.001745

0.184298

4,216

117

102

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false

0

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0

0.447761

0

null

0

null

0

1

0

a72993531283fe9cd45b23f3481f393933bdc390

15,777

py

Python

main.py

chilipolygon/Amazon-Requests-Module

20fcfa9b9764e097bc107aa9dc5b0db772ce3ad9

[ "Apache-2.0" ]

3

2022-01-18T20:54:08.000Z

2022-02-05T23:27:13.000Z

main.py

chilipolygon/Amazon-Requests-Module

20fcfa9b9764e097bc107aa9dc5b0db772ce3ad9

[ "Apache-2.0" ]

null

main.py

chilipolygon/Amazon-Requests-Module

20fcfa9b9764e097bc107aa9dc5b0db772ce3ad9

[ "Apache-2.0" ]

null

# --------------------- from bs4 import BeautifulSoup as bs import requests import urllib3 import urllib from urllib.parse import unquote import re import os import sys import json import time from colorama import Fore, init from pprint import pprint from datetime import datetime import uuid import threading # --------...

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1

0

a72d7496d5e3f428cdf8342b764e52a9a68ac6a0

3,092

py

Python

cdparser/Features.py

opengulf/nyc-directories-support-scripts

e22582b8f4cb3c365e9aac1d860d9c36831277a5

[ "MIT" ]

1

2021-09-07T20:41:00.000Z

cdparser/Features.py

opengulf/nyc-directories-support-scripts

e22582b8f4cb3c365e9aac1d860d9c36831277a5

[ "MIT" ]

null

cdparser/Features.py

opengulf/nyc-directories-support-scripts

e22582b8f4cb3c365e9aac1d860d9c36831277a5

[ "MIT" ]

2

2021-09-07T20:49:14.000Z

2021-11-05T02:03:47.000Z

from functools import partial class Features: @staticmethod def __emit_word_features(rel_pos, word): features = {} for f in Features.__word_feature_functions().items(): features.update({str(rel_pos) + ":" + f[0]: f[1](word)}) return features @staticmethod def get_w...

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0

null

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0

a733182bb7d063e48b371c3b9b8871a0afe48521

19,712

py

Python

dashboard/api/config.py

x3niasweden/fomalhaut-panel

8b4b3d81e2c91bef8f24ccbaf9cf898a47ac38a6

[ "MIT" ]

14

2017-08-01T08:28:00.000Z

2020-08-29T06:55:16.000Z

dashboard/api/config.py

x3niasweden/fomalhaut-panel

8b4b3d81e2c91bef8f24ccbaf9cf898a47ac38a6

[ "MIT" ]

1

2021-03-29T06:16:34.000Z

dashboard/api/config.py

x3niasweden/fomalhaut-panel

8b4b3d81e2c91bef8f24ccbaf9cf898a47ac38a6

[ "MIT" ]

12

2017-07-18T02:59:03.000Z

2021-03-23T04:04:58.000Z

# !/usr/bin/env python # -*- coding: utf-8 -*- # created by restran on 2016/1/2 from __future__ import unicode_literals, absolute_import import traceback from django.views.decorators.http import require_http_methods from django.views.decorators.csrf import csrf_protect from django.db import transaction from cerberu...

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0

0.0837

0

null

0

null

0

1

0

a733c76add330a704c87d51a39a3121429990715

2,209

py

Python

WX_BG.py

boristown/WX_BG

c715d1f3ffeef60187be0289f26549204d6b963f

[ "MIT" ]

1

2019-08-17T23:21:28.000Z

WX_BG.py

boristown/WX_BG

c715d1f3ffeef60187be0289f26549204d6b963f

[ "MIT" ]

null

WX_BG.py

boristown/WX_BG

c715d1f3ffeef60187be0289f26549204d6b963f

[ "MIT" ]

null

# -*- coding: utf-8 -*- # filename: WX_BG.py import prices import glob import prediction import os import time import random #预测数据文件 prices_file_pattern = "Output\\prices\\*.csv" #预测数据文件 predict_file_pattern = "Output\\predict\\*.csv" #预测数据文件 prices_file_second_pattern = "Output\\prices_second\\*.csv" #预测数据文件 predict_...

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null

0

null

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1

0

a734a04a2790536248f0af4b3c7aedde27c72873

929

py

Python

hyppo/d_variate/tests/test_dhsic.py

zdbzdb123123/hyppo

c22dcfb7bdf25c9945e6d4ddd7c6bfe5fcdd0cde

[ "MIT" ]

116

2020-02-28T10:29:22.000Z

2022-03-22T12:19:39.000Z

hyppo/d_variate/tests/test_dhsic.py

zdbzdb123123/hyppo

c22dcfb7bdf25c9945e6d4ddd7c6bfe5fcdd0cde

[ "MIT" ]

253

2020-02-17T16:18:56.000Z

2022-03-30T16:55:02.000Z

hyppo/d_variate/tests/test_dhsic.py

zdbzdb123123/hyppo

c22dcfb7bdf25c9945e6d4ddd7c6bfe5fcdd0cde

[ "MIT" ]

27

2020-03-02T21:07:41.000Z

2022-03-08T08:33:23.000Z

import numpy as np import pytest from numpy.testing import assert_almost_equal from ...tools import linear, power from .. import dHsic # type: ignore class TestdHsicStat: @pytest.mark.parametrize("n, obs_stat", [(100, 0.04561), (200, 0.03911)]) @pytest.mark.parametrize("obs_pvalue", [1 / 1000]) def test...

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0.346154

0

null

0

null

0

1

0

a7351f98fb299d1d929cbe7b4a8c9742f60b725d

2,844

py

Python

Pages/showHistory.py

ajaydeepsingh/ATLZoo

ab5ba27dc8602da39ce8bb47c4a050ff09d79b82

[ "MIT" ]

null

Pages/showHistory.py

ajaydeepsingh/ATLZoo

ab5ba27dc8602da39ce8bb47c4a050ff09d79b82

[ "MIT" ]

null

Pages/showHistory.py

ajaydeepsingh/ATLZoo

ab5ba27dc8602da39ce8bb47c4a050ff09d79b82

[ "MIT" ]

null

from tkinter import * from PIL import ImageTk, Image import pymysql from tkinter import messagebox from tkinter import ttk from datetime import datetime, timedelta import decimal class ATLzooShowHistory: def __init__(self): self.createShowHistoryWindow() self.buildShowHistoryWindow(self.showHistory...

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null

0

null

0

1

0

a739f43b0588186a90f5d8f8245209820d58a6a6

1,683

py

Python

setup.py

eltonn/toki

22efd9ce84414380904e3a5ac84e84de9bdb5bce

[ "Apache-2.0" ]

1

2020-11-30T16:52:50.000Z

setup.py

eltonn/toki

22efd9ce84414380904e3a5ac84e84de9bdb5bce

[ "Apache-2.0" ]

7

2020-05-29T23:22:21.000Z

2020-11-30T20:49:37.000Z

setup.py

eltonn/toki

22efd9ce84414380904e3a5ac84e84de9bdb5bce

[ "Apache-2.0" ]

1

2020-04-29T21:59:25.000Z

"""The setup script.""" from setuptools import find_packages, setup with open('README.md') as readme_file: readme = readme_file.read() with open('docs/release-notes.md') as history_file: history = history_file.read() requirements = [] dev_requirements = [ # lint and tools 'black', 'flake8', ...

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0.019608

0

null

0

null

0

1

0

a73aed88b329c068d8782d3c38cdfcf8ff4be7a3

3,109

py

Python

dq0/sdk/estimators/data_handler/csv.py

gradientzero/dq0-sdk

90856dd5ac56216971ffe33004447fd037a21660

[ "0BSD" ]

2

2020-09-16T09:28:00.000Z

2021-03-18T21:26:29.000Z

dq0/sdk/estimators/data_handler/csv.py

gradientzero/dq0-sdk

90856dd5ac56216971ffe33004447fd037a21660

[ "0BSD" ]

22

2020-04-15T10:19:33.000Z

2022-03-12T00:20:57.000Z

dq0/sdk/estimators/data_handler/csv.py

gradientzero/dq0-sdk

90856dd5ac56216971ffe33004447fd037a21660

[ "0BSD" ]

null

# -*- coding: utf-8 -*- """Base data handler. Copyright 2021, Gradient Zero All rights reserved """ import logging import dq0.sdk from dq0.sdk.estimators.data_handler.base import BasicDataHandler import pandas as pd from sklearn.model_selection import train_test_split logger = logging.getLogger(__name__) class ...

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null

0

null

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0

595209a149b488a190b55a28e227e0653341e30a

407

py

Python

core/utils/template_updater.py

blockomat2100/vulnman

835ff3aae1168d8e2fa5556279bc86efd2e46472

[ "MIT" ]

3

2021-12-22T07:02:24.000Z

2022-01-27T20:19:11.000Z

core/utils/template_updater.py

vulnman/vulnman

d48ee022bc0e4368060a990a527b1c7a5e437504

[ "MIT" ]

44

2021-12-14T07:24:29.000Z

2022-03-23T07:01:16.000Z

core/utils/template_updater.py

blockomat2100/vulnman

835ff3aae1168d8e2fa5556279bc86efd2e46472

[ "MIT" ]

1

2022-01-21T16:29:56.000Z

import os from django.conf import settings from git import Repo def update_vulnerability_templates(): template_dir = os.path.join( settings.BASE_DIR, "resources/vuln_templates") if os.path.isdir(template_dir): repo = Repo(template_dir) origin = repo.remotes.origin origin.pull()...

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0

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null

0

null

0

1

0

5952c5d9520173eb54626c3cf8e791dbdc5d7f03

656

py

Python

pages/basket_page.py

Espad/stepik_autotests_final_tasks

2d9e3408766cc00387a8ddd656006556cce567b4

[ "MIT" ]

null

pages/basket_page.py

Espad/stepik_autotests_final_tasks

2d9e3408766cc00387a8ddd656006556cce567b4

[ "MIT" ]

null

pages/basket_page.py

Espad/stepik_autotests_final_tasks

2d9e3408766cc00387a8ddd656006556cce567b4

[ "MIT" ]

null

from .base_page import BasePage from .locators import BasketPageLocators class BasketPage(BasePage): def should_be_empty_basket_message(self): assert self.is_element_present(*BasketPageLocators.BASKET_EMPTY_MESSAGE), \ "Empty basket message element not found on page" assert self.brows...

41

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0

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15

136

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0.874766

0

0.224085

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0.181818

false

0

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0

0.454545

0

null

0

null

0

1

0

595945cb1c25f789695dd2fae8ba200ee3b77c80

1,454

py

Python

trypython/extlib/aiohttp/aiohttp01.py

devlights/try-python-extlib

9bfb649d3f5b249b67991a30865201be794e29a9

[ "MIT" ]

null

trypython/extlib/aiohttp/aiohttp01.py

devlights/try-python-extlib

9bfb649d3f5b249b67991a30865201be794e29a9

[ "MIT" ]

null

trypython/extlib/aiohttp/aiohttp01.py

devlights/try-python-extlib

9bfb649d3f5b249b67991a30865201be794e29a9

[ "MIT" ]

null

""" aiohttp モジュールのサンプルです基本的な使い方について REFERENCES:: http://bit.ly/2O2lmeU http://bit.ly/2O08oy3 """ import asyncio from asyncio import Future from typing import List, Dict import aiohttp from trypython.common.commoncls import SampleBase async def fetch_async(index: int, url: str) -> Dict: async wit...

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1,454

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0

null

0

null

0

1

0

595abb6fdb13a008e2f80cf057085a05a97b14a8

1,860

py

Python

models.py

camerongray1515/HackDee-2015

6459c5bd3ad895e0a216ff61342eb73877dc9ee5

[ "MIT" ]

null

models.py

camerongray1515/HackDee-2015

6459c5bd3ad895e0a216ff61342eb73877dc9ee5

[ "MIT" ]

1

2015-04-04T20:55:52.000Z

2015-12-17T23:35:08.000Z

models.py

camerongray1515/HackDee-2015

6459c5bd3ad895e0a216ff61342eb73877dc9ee5

[ "MIT" ]

null

from sqlalchemy import Column, String, Boolean, ForeignKey, Integer from sqlalchemy.orm import relationship from database import Base from string import ascii_letters from random import choice class Playlist(Base): __tablename__ = "playlists" id = Column(String, primary_key=True) name = Column(String) ...

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1,860

63

90

29.52381

0.831811

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0

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0

1

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false

0

0.102041

0.020408

0.489796

0

null

0

null

0

1

0

595ecf0b3419dbc932591ff7beb5487e3db35f47

932

py

Python

script/rmLinebyIndFile.py

ASLeonard/danbing-tk

15540124ff408777d0665ace73698b0c2847d1cc

[ "BSD-3-Clause" ]

17

2020-08-16T14:28:11.000Z

2022-03-23T23:30:47.000Z

script/rmLinebyIndFile.py

ASLeonard/danbing-tk

15540124ff408777d0665ace73698b0c2847d1cc

[ "BSD-3-Clause" ]

7

2021-01-25T15:26:18.000Z

2022-03-31T14:30:46.000Z

script/rmLinebyIndFile.py

ASLeonard/danbing-tk

15540124ff408777d0665ace73698b0c2847d1cc

[ "BSD-3-Clause" ]

2

2020-11-01T20:41:38.000Z

2021-05-29T03:22:24.000Z

#!/usr/bin/env python3 import sys import numpy as np if len(sys.argv) == 1 or sys.argv[1] == "-h" or sys.argv[1] == "--help": print( """ Remove line indices (0-based) specified in 'index.txt' usage: program [-k] index.txt inFile -k Keep line indices in 'index.txt' instead of removing ...

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932

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40

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0

0.104167

0

0.096774

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false

0

0.064516

0

0.064516

0

null

0

null

0

1

0

5960088035b5df4aefdc1abf2b6dd9894a0c53be

5,978

py

Python

estimators.py

RakitinDen/pytorch-recursive-gumbel-max-trick

44f9854020e727946a074a6e53b20dd593f96cc1

[ "Apache-2.0" ]

20

2021-12-03T13:20:17.000Z

2022-03-20T18:58:06.000Z

estimators.py

RakitinDen/pytorch-recursive-gumbel-max-trick

44f9854020e727946a074a6e53b20dd593f96cc1

[ "Apache-2.0" ]

null

estimators.py

RakitinDen/pytorch-recursive-gumbel-max-trick

44f9854020e727946a074a6e53b20dd593f96cc1

[ "Apache-2.0" ]

null

# Estimators are partially based on the "estimators.py" from the following repositories: # https://github.com/agadetsky/pytorch-pl-variance-reduction # https://github.com/sdrobert/pydrobert-pytorch import torch def uniform_to_exp(logits, uniform=None, enable_grad=False): ''' Converts a tensor of independent u...

36.674847

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5,978

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0.399686

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0

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false

0

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0

0.123596

0

null

0

null

0

1

0

596098c174bcd92a072f4a63dcf655eaaf7c83e8

1,332

py

Python

squareroot.py

martinaobrien/pands-problem-sets

5928f9ed2a743f46a9615f41192fd6dfb810b73c

[ "CNRI-Python" ]

null

squareroot.py

martinaobrien/pands-problem-sets

5928f9ed2a743f46a9615f41192fd6dfb810b73c

[ "CNRI-Python" ]

null

squareroot.py

martinaobrien/pands-problem-sets

5928f9ed2a743f46a9615f41192fd6dfb810b73c

[ "CNRI-Python" ]

null

#Martina O'Brien 10/3/2019 #Problem Set 7 - squareroots #Programming Code to determining the squareroots of positive floating point numbers ## Reference for try and expect https://www.w3schools.com/python/python_try_except.asp while True: # this loop will run to allow the user to input a value again if they do ...

45.931034

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0

null

0

null

0

1

0

5961e885fedcd68b3653416c363d4e461726bdc8

5,578

py

Python

pywbemtools/pywbemlistener/_context_obj.py

pywbem/pywbemtools

6b7c3f124324fd3ab7cffb82bc98c8f9555317e4

[ "Apache-2.0" ]

8

2017-04-01T13:55:00.000Z

2022-03-15T18:28:47.000Z

pywbemtools/pywbemlistener/_context_obj.py

pywbem/pywbemtools

6b7c3f124324fd3ab7cffb82bc98c8f9555317e4

[ "Apache-2.0" ]

918

2017-03-03T14:29:03.000Z

2022-03-29T15:32:16.000Z

pywbemtools/pywbemlistener/_context_obj.py

pywbem/pywbemtools

6b7c3f124324fd3ab7cffb82bc98c8f9555317e4

[ "Apache-2.0" ]

2

2020-01-17T15:56:46.000Z

2020-02-12T18:49:30.000Z

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

31.693182

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null

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1

0

5963d226f34e95078375678dfe6099b78982408c

573

py

Python

userbot/modules/trd.py

LUCKYRAJPUTOP/VibeXUserbot

257c86ff1775592688815435d8c5ce91e1dd299e

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

null

userbot/modules/trd.py

LUCKYRAJPUTOP/VibeXUserbot

257c86ff1775592688815435d8c5ce91e1dd299e

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

null

userbot/modules/trd.py

LUCKYRAJPUTOP/VibeXUserbot

257c86ff1775592688815435d8c5ce91e1dd299e

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

null

import asyncio from asyncio import sleep from random import choice from userbot.events import register T_R_D = [ "@PrajjuS", "@Vin02vin", "@Iamsaisharan", "@venomsamurai", ] @register(outgoing=True, pattern="^.trd$") async def truthrdare(trd): """Truth or Dare""" await trd.edit("`Choosing Name...

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596512b76ad497342148f69daf0ea980f36bbf49

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py

Python

collectors/nct/collector.py

almeidaah/collectors

f03096855b8d702969d22af0b20a4d6a0d820bd0

[ "MIT" ]

17

2016-06-28T21:20:21.000Z

2022-03-02T16:31:25.000Z

collectors/nct/collector.py

almeidaah/collectors

f03096855b8d702969d22af0b20a4d6a0d820bd0

[ "MIT" ]

41

2016-04-04T10:36:45.000Z

2017-04-24T10:04:57.000Z

collectors/nct/collector.py

kenferrara/collectors

e6c1f45df3a1ffd5d60dada1816484812eb51417

[ "MIT" ]

25

2016-05-18T09:27:42.000Z

2021-03-21T14:44:31.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import zipfile import logging import requests import tempfile import contextlib from .parser import parse_record from .. import base logger = logg...

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0

5969ba0b61715dcc3c0755544d810b16a9ba7f4b

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py

Python

src/contexts/context_local_structure.py

aindrila-ghosh/SmartReduce

b2b28055bc0b269155270c1f8206445e405e8d9b

[ "MIT" ]

null

src/contexts/context_local_structure.py

aindrila-ghosh/SmartReduce

b2b28055bc0b269155270c1f8206445e405e8d9b

[ "MIT" ]

null

src/contexts/context_local_structure.py

aindrila-ghosh/SmartReduce

b2b28055bc0b269155270c1f8206445e405e8d9b

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt from sklearn.manifold import Isomap from scipy.spatial.distance import pdist from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import cross_val_score, LeaveOneOut RANDOM_STATE = 42 def calculate_pairwise_distances(df_for_Box_Plot_featu...

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null

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596bbf6cce06d70f6a325d7a5bf75a3e2280c89c

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py

Python

hparams.py

TanUkkii007/vqvae

6ac433490fd827174e5b925780d32bea14bfb097

[ "MIT" ]

2

2019-03-30T16:49:11.000Z

2019-12-18T22:50:56.000Z

hparams.py

TanUkkii007/vqvae

6ac433490fd827174e5b925780d32bea14bfb097

[ "MIT" ]

null

hparams.py

TanUkkii007/vqvae

6ac433490fd827174e5b925780d32bea14bfb097

[ "MIT" ]

1

2020-01-06T12:37:00.000Z

import tensorflow as tf default_params = tf.contrib.training.HParams( # Encoder encoder_num_hiddens=128, encoder_num_residual_hiddens=32, encoder_num_residual_layers=2, # Decoder decoder_num_hiddens=128, decoder_num_residual_hiddens=32, decoder_num_residual_layers=2, embedding_di...

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null

0

null

0

1

0

596db7d21a1d0b9384a4b3ba2a66f7f8e7dbfeba

1,080

py

Python

coroutines.py

PraveenMathew92/python-chatroom-asyncio

8b3048f17b76e649aff6bcbb7d084362cab32b58

[ "MIT" ]

null

coroutines.py

PraveenMathew92/python-chatroom-asyncio

8b3048f17b76e649aff6bcbb7d084362cab32b58

[ "MIT" ]

null

coroutines.py

PraveenMathew92/python-chatroom-asyncio

8b3048f17b76e649aff6bcbb7d084362cab32b58

[ "MIT" ]

null

""" File to demonstrate the coroutines api in python """ import asyncio async def coroutine(caller): print(f'entering ${caller}') await asyncio.sleep(1) print(f'exited {caller}') """ asyncio.run takes a coroutine and A RuntimeWarning is generated if the coroutine is not awaited Eg: coroutine('withou...

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0

null

0

null

0

1

0

5972ea55ea758af92089d41c09629539cc06ea40

12,048

py

Python

test/test_subprocess.py

python-useful-helpers/exec-helpers

3e0adfa7dded72ac1c9c93bd88db070f4c9050b6

[ "Apache-2.0" ]

12

2018-03-23T23:37:40.000Z

2021-07-16T16:07:28.000Z

test/test_subprocess.py

penguinolog/exec-helpers

0784a4772f6e9937540b266fdbb1f5a060fd4b76

[ "Apache-2.0" ]

111

2018-03-26T14:10:52.000Z

2021-07-12T07:12:45.000Z

test/test_subprocess.py

penguinolog/exec-helpers

0784a4772f6e9937540b266fdbb1f5a060fd4b76

[ "Apache-2.0" ]

6

2018-03-26T13:37:21.000Z

2018-09-07T03:35:09.000Z

# Copyright 2018 - 2020 Alexey Stepanov aka penguinolog. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requi...

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null

0

null

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0

597345ee49817e67d67ebede702d14893a6e8c4d

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py

Python

Lib/featureMan/familyFeatures.py

typoman/featureman

f115ea8d3faae042845cfca9502d91da88405c68

[ "MIT" ]

13

2019-07-21T14:00:49.000Z

2019-07-29T21:43:03.000Z

Lib/featureMan/familyFeatures.py

typoman/featureman

f115ea8d3faae042845cfca9502d91da88405c68

[ "MIT" ]

1

2019-07-28T12:06:23.000Z

Lib/featureMan/familyFeatures.py

typoman/featureman

f115ea8d3faae042845cfca9502d91da88405c68

[ "MIT" ]

null

from featureMan.otSingleSubFeatures import * from featureMan.otNumberFeatures import * from featureMan.otLanguages import * from featureMan.otLocalized import * from featureMan.otLigatureFeatures import * from featureMan.otMark import mark from featureMan.otSyntax import fontDic, GDEF from featureMan.otKern import kern...

40.793103

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0

null

0

null

0

1

0

5975a408ae1c989c338845f71aa3900205bb24fd

15,265

py

Python

FFSP/FFSP_MatNet/FFSPModel.py

MinahPark/MatNet

63342de76f6a982bdfb5c1e8d5930d64ec3efa61

[ "MIT" ]

18

2021-11-22T09:37:52.000Z

2022-03-31T03:48:00.000Z

FFSP/FFSP_MatNet/FFSPModel.py

MinahPark/MatNet

63342de76f6a982bdfb5c1e8d5930d64ec3efa61

[ "MIT" ]

1

2021-12-04T05:14:26.000Z

2021-12-14T03:04:55.000Z

FFSP/FFSP_MatNet/FFSPModel.py

MinahPark/MatNet

63342de76f6a982bdfb5c1e8d5930d64ec3efa61

[ "MIT" ]

5

2021-12-15T01:56:02.000Z

2022-03-07T13:13:05.000Z

""" The MIT License Copyright (c) 2021 MatNet 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, d...

39.141026

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0.195876

0

null

0

null

0

1

0

5975bf51cf6b40314443cbac07c50fa49c107d36

1,697

py

Python

compose.py

lvyufeng/mindspore_poems

2f46afa290a8065cd1c774c26a96be76da30873e

[ "MIT" ]

null

compose.py

lvyufeng/mindspore_poems

2f46afa290a8065cd1c774c26a96be76da30873e

[ "MIT" ]

null

compose.py

lvyufeng/mindspore_poems

2f46afa290a8065cd1c774c26a96be76da30873e

[ "MIT" ]

null

import os import numpy as np import mindspore from mindspore import Tensor from mindspore import load_checkpoint, load_param_into_net from src.model import RNNModel, RNNModelInfer from src.utils import process_poems start_token = 'B' end_token = 'E' model_dir = './ckpt/' corpus_file = './data/poems.txt' def to_word(p...

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0

null

0

null

0

1

0

5976b5eadcdfa649651a6db9b9bd714639c5b347

1,523

py

Python

pychemia/core/from_file.py

petavazohi/PyChemia

e779389418771c25c830aed360773c63bb069372

[ "MIT" ]

67

2015-01-31T07:44:55.000Z

2022-03-21T21:43:34.000Z

pychemia/core/from_file.py

petavazohi/PyChemia

e779389418771c25c830aed360773c63bb069372

[ "MIT" ]

13

2016-06-03T19:07:51.000Z

2022-03-31T04:20:40.000Z

pychemia/core/from_file.py

petavazohi/PyChemia

e779389418771c25c830aed360773c63bb069372

[ "MIT" ]

37

2015-01-22T15:37:23.000Z

2022-03-21T15:38:10.000Z

import os import sys from pychemia import HAS_PYMATGEN, pcm_log from .structure import Structure from pychemia.code.vasp import read_poscar from pychemia.code.abinit import AbinitInput def structure_from_file(structure_file): """ Attempts to reconstruct a PyChemia Structure from the contents of any given file...

37.146341

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0

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0

0.290323

0

null

0

null

0

1

0

59792e136f9480b5e034aa6d01981255bd1bfdd7

992

py

Python

snptools/vc_matrix.py

pvanheus/variant_exploration_with_tralynca

4ffadc29c19d68909beed2254646e36513311847

[ "MIT" ]

null

snptools/vc_matrix.py

pvanheus/variant_exploration_with_tralynca

4ffadc29c19d68909beed2254646e36513311847

[ "MIT" ]

null

snptools/vc_matrix.py

pvanheus/variant_exploration_with_tralynca

4ffadc29c19d68909beed2254646e36513311847

[ "MIT" ]

null

from os import listdir import os.path import pandas as pd from .count_variants_per_gene import process_vcf from .genetree import make_gene_tree def make_variant_count_matrix(input_directory, output_filename): gene_tree = make_gene_tree() locus_names = sorted([ interval.data['locus'] for interval in gene_tree ...

41.333333

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992

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0.118012

0.059006

0.26087

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0.002581

0.21875

992

24

94

41.333333

0.828387

0

0.028226

0

1

0.05

false

0

0.25

0

0.3

0

null

0

null

0

1

0

5979cf5bed5000445a52e27786a6829f4458f888

481

py

Python

oarepo_records_draft/merge.py

oarepo/invenio-records-draft

6d77309996c58fde7731e5f182e9cd5400f81f14

[ "MIT" ]

1

2020-06-03T14:44:49.000Z

oarepo_records_draft/merge.py

oarepo/invenio-records-draft

6d77309996c58fde7731e5f182e9cd5400f81f14

[ "MIT" ]

7

2020-06-02T14:45:48.000Z

2021-11-16T08:38:47.000Z

oarepo_records_draft/merge.py

oarepo/invenio-records-draft

6d77309996c58fde7731e5f182e9cd5400f81f14

[ "MIT" ]

1

2019-08-15T07:59:48.000Z

from deepmerge import Merger def list_merge(config, path, base, nxt): for k in range(0, min(len(base), len(nxt))): if isinstance(base[k], (dict, list, tuple)): draft_merger.merge(base[k], nxt[k]) else: base[k] = nxt[k] for k in range(len(base), len(nxt)): base.a...

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0

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22

53

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0

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0

0.166667

0

null

0

null

0

1

0

597bfa5b6f7cdb21349ef3d1cce73227ae2c86fc

4,951

py

Python

source/01_make_coordinates/make_coordinates.py

toshi-k/kaggle-airbus-ship-detection-challenge

872a160057592022488b1772b6c7a8982677d1dc

[ "Apache-2.0" ]

90

2018-11-17T21:37:41.000Z

2021-11-24T11:55:34.000Z

source/01_make_coordinates/make_coordinates.py

jackweiwang/kaggle-airbus-ship-detection-challenge

872a160057592022488b1772b6c7a8982677d1dc

[ "Apache-2.0" ]

3

2018-11-27T14:23:15.000Z

2020-03-09T09:23:25.000Z

source/01_make_coordinates/make_coordinates.py

jackweiwang/kaggle-airbus-ship-detection-challenge

872a160057592022488b1772b6c7a8982677d1dc

[ "Apache-2.0" ]

14

2018-11-17T21:37:44.000Z

2020-11-30T02:22:28.000Z

import os import numpy as np import pandas as pd from tqdm import tqdm from PIL import Image from lib.img2_coord_ica import img2_coord_iter, coord2_img from lib.log import Logger # ref: https://www.kaggle.com/paulorzp/run-length-encode-and-decode def rle_decode(mask_rle, shape=(768, 768)): """ Args: ...

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null

0

null

0

1

0

597e7da85300fb6bd6d365c07bb2ba1dbac55565

1,598

py

Python

scripts/combine_errors.py

nbren12/nn_atmos_param

cb138f0b211fd5743e56ad659aec38c082d2b3ac

[ "MIT" ]

4

2018-09-16T20:55:57.000Z

2020-12-06T11:27:50.000Z

scripts/combine_errors.py

nbren12/nn_atmos_param

cb138f0b211fd5743e56ad659aec38c082d2b3ac

[ "MIT" ]

5

2018-04-07T07:40:39.000Z

2018-06-20T06:56:08.000Z

scripts/combine_errors.py

nbren12/nn_atmos_param

cb138f0b211fd5743e56ad659aec38c082d2b3ac

[ "MIT" ]

null

import numpy as np import re import json import xarray as xr import pandas as pd def read_train_loss(epoch, fname, variables=['test_loss', 'train_loss']): """Read the loss.json file for the current epochs test and train loss""" df = pd.read_json(fname) epoch_means = df.groupby('epoch')...

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0

null

0

null

0

1

0

5980a13b88db20b5e773819c926a4981f53bb21e

1,611

py

Python

mu.py

cool2645/shadowsocksrr

0a594857f4c3125ab14d27d7fd8143291b7c9fee

[ "Apache-2.0" ]

2

2018-05-14T10:41:38.000Z

2020-05-22T12:40:57.000Z

mu.py

cool2645/shadowsocksrr

0a594857f4c3125ab14d27d7fd8143291b7c9fee

[ "Apache-2.0" ]

null

mu.py

cool2645/shadowsocksrr

0a594857f4c3125ab14d27d7fd8143291b7c9fee

[ "Apache-2.0" ]

1

2018-09-22T16:15:14.000Z

import db_transfer import config import logging from musdk.client import Client class MuApiTransfer(db_transfer.TransferBase): client = None users = [] def __init__(self): super(MuApiTransfer, self).__init__() self.pull_ok = False self.port_uid_table = {} self.init_mu_clie...

28.767857

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0

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0

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0.083333

0

null

0

null

0

1

0

598126ffcc8da7b8ff9a91f8f601f2ef5306a660

2,001

py

Python

tests/test_json.py

NyntoFive/data_extractor

965e12570d6b7549aa2f8b3bd1951e06b010c444

[ "MIT" ]

null

tests/test_json.py

NyntoFive/data_extractor

965e12570d6b7549aa2f8b3bd1951e06b010c444

[ "MIT" ]

null

tests/test_json.py

NyntoFive/data_extractor

965e12570d6b7549aa2f8b3bd1951e06b010c444

[ "MIT" ]

null

# Standard Library import json # Third Party Library import pytest from jsonpath_rw.lexer import JsonPathLexerError # First Party Library from data_extractor.exceptions import ExprError, ExtractError from data_extractor.json import JSONExtractor @pytest.fixture(scope="module") def text(): return """ { ...

23.267442

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5.205357

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0.039451

0

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83

23.541176

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0.027986

0

0.215385

0

0.192169

0

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1

0.092308

false

0

0.076923

0.030769

0.2

0

null

0

null

0

1

0

59814b4554d683700762543937d73f8de4e2078a

938

py

Python

demo/predictions/visualize.py

qixuxiang/maskrcnn_tianchi_stage2

52023b64268dc91f0b5b9f085203ab00a542458a

[ "MIT" ]

null

demo/predictions/visualize.py

qixuxiang/maskrcnn_tianchi_stage2

52023b64268dc91f0b5b9f085203ab00a542458a

[ "MIT" ]

null

demo/predictions/visualize.py

qixuxiang/maskrcnn_tianchi_stage2

52023b64268dc91f0b5b9f085203ab00a542458a

[ "MIT" ]

null

import numpy as np from PIL import Image import os npy_file1 = './prediction/1110_1.npy' npy_file2 = './prediction/1110_2.npy' npy_file3 = './prediction/1110_3.npy' npy_file4 = './prediction/1110_4.npy' npy_file5 = './prediction/1110_5.npy' arr1 = np.load(npy_file1) arr2 = np.load(npy_file2) arr3 = np.load(npy_file3)...

26.055556

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0

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42

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0

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0

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0

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0

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0

0.090909

0.151515

0

null

0

null

0

1

0

5985441293e6489af243c2cd16aa10e62e49c056

16,658

py

Python

gamestonk_terminal/cryptocurrency/due_diligence/pycoingecko_view.py

clairvoyant/GamestonkTerminal

7b40cfe61b32782e36f5de8a08d075532a08c294

[ "MIT" ]

null

gamestonk_terminal/cryptocurrency/due_diligence/pycoingecko_view.py

clairvoyant/GamestonkTerminal

7b40cfe61b32782e36f5de8a08d075532a08c294

[ "MIT" ]

null

gamestonk_terminal/cryptocurrency/due_diligence/pycoingecko_view.py

clairvoyant/GamestonkTerminal

7b40cfe61b32782e36f5de8a08d075532a08c294

[ "MIT" ]

null

"""CoinGecko view""" __docformat__ = "numpy" import argparse from typing import List, Tuple import pandas as pd from pandas.plotting import register_matplotlib_converters import matplotlib.pyplot as plt from tabulate import tabulate import mplfinance as mpf from gamestonk_terminal.helper_funcs import ( parse_know...

27.308197

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0.551327

1,786

16,658

5.015677

0.166853

0.040188

0.034829

0.042867

0.666667

0.653159

0.646796

0.625251

0.591762

0

0.005174

0.350222

16,658

609

118

27.353038

0.822432

0.119642

0

0.65122

0

0.014634

0.266301

0.007307

0

1

0.029268

false

0

0.026829

0

0.102439

0.087805

0

null

0

null

0

1

0

5985716e3511f569993e2ea970c450df3042b443

701

py

Python

source/loaders/tploaders.py

rodsom22/gcn_refinement

b1b76811b145a2fa7e595cc6d131d75c0553d5a3

[ "MIT" ]

24

2020-05-04T20:24:35.000Z

2022-03-21T07:57:02.000Z

source/loaders/tploaders.py

rodsom22/gcn_refinement

b1b76811b145a2fa7e595cc6d131d75c0553d5a3

[ "MIT" ]

3

2020-09-02T15:54:10.000Z

2021-05-27T03:09:31.000Z

source/loaders/tploaders.py

rodsom22/gcn_refinement

b1b76811b145a2fa7e595cc6d131d75c0553d5a3

[ "MIT" ]

6

2020-08-03T21:01:37.000Z

2021-02-04T02:24:46.000Z

""" Data loaders based on tensorpack """ import numpy as np from utilities import nparrays as arrtools def get_pancreas_generator(sample_name, volumes_path, references_path): sample_vol_name = volumes_path + sample_name[0] reference_vol_name = references_path + sample_name[1] volume = np.load(sample_vol...

29.208333

71

0.706134

94

701

4.978723

0.425532

0.059829

0.064103

0.111111

0

0.010733

0.202568

701

23

72

30.478261

0.826476

0.045649

0

1

0.066667

false

0

0.133333

0

0.2

0

null

0

null

0

1

0

5986b5465c4c37fe33e19dc8df090df96c8f030d

3,137

py

Python

deep_learning/dl.py

remix-yh/moneycount

e8f35549ef96b8ebe6ca56417f0833f519179173

[ "MIT" ]

null

deep_learning/dl.py

remix-yh/moneycount

e8f35549ef96b8ebe6ca56417f0833f519179173

[ "MIT" ]

7

2020-09-26T00:46:23.000Z

2022-02-10T01:08:15.000Z

deep_learning/dl.py

remix-yh/moneycount

e8f35549ef96b8ebe6ca56417f0833f519179173

[ "MIT" ]

null

import os import io import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt from matplotlib.backends.backend_agg import FigureCanvasAgg from matplotlib.figure import Figure from keras.applications.imagenet_utils import preprocess_input from keras.backend.tensorflow_backend import set_session from kera...

31.37

95

0.667198

450

3,137

4.464444

0.371111

0.034843

0.025884

0.009955

0

0.02913

0.201148

3,137

100

96

31.37

0.772546

0.006694

0

0.048812

0

1

0.025641

false

0

0.179487

0

0.230769

0.012821

0

null

0

null

0

1

0

598974722569cb3c84cf300f7c787f22839c151a

2,255

py

Python

authors/tests/test_article_filters.py

andela/ah-backend-odin

0e9ef1a10c8a3f6736999a5111736f7bd7236689

[ "BSD-3-Clause" ]

null

authors/tests/test_article_filters.py

andela/ah-backend-odin

0e9ef1a10c8a3f6736999a5111736f7bd7236689

[ "BSD-3-Clause" ]

43

2018-10-25T10:14:52.000Z

2022-03-11T23:33:46.000Z

authors/tests/test_article_filters.py

andela/ah-backend-odin

0e9ef1a10c8a3f6736999a5111736f7bd7236689

[ "BSD-3-Clause" ]

4

2018-10-29T07:04:58.000Z

2020-04-02T14:15:10.000Z

from . import BaseAPITestCase class TestArticleFilters(BaseAPITestCase): def setUp(self): super().setUp() self.authenticate() def test_it_filters_articles_by_article_title(self): self.create_article() self.create_article(title="Some article with another title") respo...

36.370968

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0.640355

250

2,255

5.572

0.276

0.071788

0.097631

0.05743

0.594401

0.519024

0.400574

0.293611

0.264178

0

0.002872

0.227938

2,255

61

76

36.967213

0.797243

0

0.24

0

0.208426

0.068293

0

0.1

1

0.16

false

0

0.02

0

0.2

0

null

0

null

0

1

0

598d5551f035952fc6ef820f0bbd414d1bb129f0

720

py

Python

myexporter/tcpexporter.py

abh15/flower

7e1ab9393e0494f23df65bfa4f858cc35fea290e

[ "Apache-2.0" ]

null

myexporter/tcpexporter.py

abh15/flower

7e1ab9393e0494f23df65bfa4f858cc35fea290e

[ "Apache-2.0" ]

null

myexporter/tcpexporter.py

abh15/flower

7e1ab9393e0494f23df65bfa4f858cc35fea290e

[ "Apache-2.0" ]

null

#!/usr/bin/python3 import subprocess import time from prometheus_client import start_http_server, Gauge def getstat(): s=subprocess.getoutput('ss -i -at \'( dport = :x11 or sport = :x11 )\' | awk \'FNR == 3 { print $4}\'') if s == "": return(0.0,"") else: rtt=s.lstrip("rtt:") r=rtt....

32.727273

112

0.590278

102

720

4.117647

0.568627

0.042857

0.071429

0.104762

0.228571

0

0.042553

0.216667

720

22

113

32.727273

0.702128

0.023611

0

0.129445

0

1

0.052632

false

0

0.157895

0

0.210526

0.105263

0

null

0

null

0

1

0

598f144f73e5a69e09521df868c498cc54751d48

516

py

Python

tests/features/steps/roman.py

TestowanieAutomatyczneUG/laboratorium_14-maciejSzcz

b92186c574d3f21acd9f3e913e1a8ddcb5ec81fd

[ "MIT" ]

null

tests/features/steps/roman.py

TestowanieAutomatyczneUG/laboratorium_14-maciejSzcz

b92186c574d3f21acd9f3e913e1a8ddcb5ec81fd

[ "MIT" ]

null

tests/features/steps/roman.py

TestowanieAutomatyczneUG/laboratorium_14-maciejSzcz

b92186c574d3f21acd9f3e913e1a8ddcb5ec81fd

[ "MIT" ]

null

from behave import * use_step_matcher("re") @given("user inputs (?P<number>.+) and (?P<guess>.+)") def step_impl(context, number, guess): context.number = int(number) context.user_guess = guess @when("we run the converter") def step_impl(context): try: context.res = context.roman.check_guess(con...

24.571429

83

0.672481

74

516

4.581081

0.513514

0.061947

0.097345

0.159292

0

0.178295

516

20

84

25.8

0.799528

0

0.193798

0

0.066667

1

0.2

false

0

0.066667

0

0.266667

0

null

0

null

0

1

0

599099e8cbd4ce7be2457cb90f171f8cb872d8d1

1,266

py

Python

main.py

AbirLOUARD/AspiRobot

0ea78bfd7c20f1371c01a0e912f5e92bed6648b7

[ "MIT" ]

1

2022-03-31T18:37:11.000Z

main.py

AbirLOUARD/AspiRobot

0ea78bfd7c20f1371c01a0e912f5e92bed6648b7

[ "MIT" ]

null

main.py

AbirLOUARD/AspiRobot

0ea78bfd7c20f1371c01a0e912f5e92bed6648b7

[ "MIT" ]

null

import functions import Aspirobot import time import os import Manoir import Capteur import Etat import threading import Case from threading import Thread manor_size = 5 gameIsRunning = True clearConsole = lambda: os.system('cls' if os.name in ('nt', 'dos') else 'clear') manoir = Manoir.Manoir(manor_size, manor_size...

21.827586

80

0.691153

147

1,266

5.816327

0.442177

0.031579

0

0.014866

0.203002

1,266

57

81

22.210526

0.832507

0.011058

0

0.083333

0

0.024561

0

1

0.055556

false

0.027778

0.277778

0

0.333333

0

null

0

null

0

1

0

599104a205da723279b528df24bd43e2dcb5bdbb

1,169

py

Python

docs/src/newsgroups_data.py

vishalbelsare/RLScore

713f0a402f7a09e41a609f2ddcaf849b2021a0a7

[ "MIT" ]

61

2015-03-06T08:48:01.000Z

2021-04-26T16:13:07.000Z

docs/src/newsgroups_data.py

andrecamara/RLScore

713f0a402f7a09e41a609f2ddcaf849b2021a0a7

[ "MIT" ]

5

2016-09-08T15:47:00.000Z

2019-02-25T17:44:55.000Z

docs/src/newsgroups_data.py

vishalbelsare/RLScore

713f0a402f7a09e41a609f2ddcaf849b2021a0a7

[ "MIT" ]

31

2015-01-28T15:05:33.000Z

2021-04-16T19:39:48.000Z

import numpy as np from scipy import sparse as sp from rlscore.utilities import multiclass def load_newsgroups(): T = np.loadtxt("train.data") #map indices from 1...n to 0...n-1 rows = T[:,0] -1 cols = T[:,1] -1 vals = T[:,2] X_train = sp.coo_matrix((vals, (rows, cols))) X_train = X_train....

30.763158

58

0.638152

202

1,169

3.455446

0.292079

0.06447

0.025788

0.051576

0.363897

0.323782

0.26361

0.194842

0.131805

0

0.019481

0.209581

1,169

37

59

31.594595

0.735931

0.101796

0

0.206897

0

0.108883

0

1

0.068966

false

0

0.103448

0

0.206897

0.172414

0

null

0

null

0

1

0

59962bcd6324fb181e2aeed2776a6d4ee13fa678

1,245

py

Python

5hours/14_dictionaries.py

matiasmasca/python

7631583820d51e3132bdb793fed28cc83f4877a2

[ "MIT" ]

null

5hours/14_dictionaries.py

matiasmasca/python

7631583820d51e3132bdb793fed28cc83f4877a2

[ "MIT" ]

null

5hours/14_dictionaries.py

matiasmasca/python

7631583820d51e3132bdb793fed28cc83f4877a2

[ "MIT" ]

null

# como los hash de ruby, guarda "clave" "valor" # al igual que un diccionario, esta la Palabra, que es la clave y la definción que seria el valor. # las claves tienen que ser unicas nombre_de_diccionario = {} #curly brackets. monthConversions = { "Jan": "January", "Feb": "February", "Mar": "March", "Apr": "A...

23.055556

98

0.654618

164

1,245

4.957317

0.579268

0.180812

0.088561

0.066421

0

0.019455

0.174297

1,245

53

99

23.490566

0.771401

0.343775

0

0.055556

0

0.306351

0

1

0

false

0

0.194444

0

null

0

null

0

1

0

5997a4ecb7f8086a5d0b295c0471521ff04b54f7

6,985

py

Python

graph/__init__.py

worldwise001/stylometry

b5a4cc98fb8dfb6d1600d41bb15c96aeaf4ecb72

[ "MIT" ]

14

2015-02-24T16:14:07.000Z

2022-02-19T21:49:55.000Z

graph/__init__.py

worldwise001/stylometry

b5a4cc98fb8dfb6d1600d41bb15c96aeaf4ecb72

[ "MIT" ]

1

2015-02-25T09:45:13.000Z

graph/__init__.py

worldwise001/stylometry

b5a4cc98fb8dfb6d1600d41bb15c96aeaf4ecb72

[ "MIT" ]

4

2015-11-20T10:47:11.000Z

2021-03-30T13:14:20.000Z

import matplotlib matplotlib.use('Agg') import statsmodels.api as sm import statsmodels.formula.api as smf import numpy as np from scipy.stats import linregress import matplotlib.pyplot as plt from sklearn.metrics import roc_curve, auc def hist_prebin(filename, values, width=1, x_title='', y_title='', title=None): ...

30.502183

100

0.591553

1,077

6,985

3.751161

0.16156

0.039604

0.043564

0.025743

0.582673

0.515099

0.481683

0.474257

0.425

0

0.030654

0.234073

6,985

228

101

30.635965

0.724486

0.024338

0

0.505435

0

0.057701

0

1

0.048913

false

0

0.038043

0

0.086957

0.01087

0

null

0

null

0

1

0

59995210d6ac282b5113ee3252c96de5a50256f9

2,251

py

Python

test/test_component.py

gadalang/gada

2dd4f4dfd5b7390c06307040cad23203a015f7a4

[ "MIT" ]

null

test/test_component.py

gadalang/gada

2dd4f4dfd5b7390c06307040cad23203a015f7a4

[ "MIT" ]

null

test/test_component.py

gadalang/gada

2dd4f4dfd5b7390c06307040cad23203a015f7a4

[ "MIT" ]

1

2021-06-15T13:52:33.000Z

__all__ = ["ComponentTestCase"] import os import sys import yaml import unittest from gada import component from test.utils import TestCaseBase class ComponentTestCase(TestCaseBase): def test_load(self): """Test loading the testnodes package that is in PYTHONPATH.""" # Load component configuration...

32.157143

86

0.662372

255

2,251

5.603922

0.278431

0.055983

0.062981

0.044087

0.357593

0.23373

0.216935

0.103569

0.071379

0

0.236784

2,251

69

87

32.623188

0.831781

0.161706

0

0.181818

0

0.147709

0.012399

0

0.204545

1

0.136364

false

0

0.136364

0

0.295455

0

null

0

null

0

1

0

599a3aac676f1bdb004c22bf7034b685260f3101

17,820

py

Python

color pattern with threading.py

HashtagInnovator/Alpha-Star

f69a35b1924320dfec9610d6b61acae8d9de4afa

[ "Apache-2.0" ]

null

color pattern with threading.py

HashtagInnovator/Alpha-Star

f69a35b1924320dfec9610d6b61acae8d9de4afa

[ "Apache-2.0" ]

null

color pattern with threading.py

HashtagInnovator/Alpha-Star

f69a35b1924320dfec9610d6b61acae8d9de4afa

[ "Apache-2.0" ]

null

import time import random from multiprocessing import pool from playsound import playsound from threading import Thread i = -1 l = 0 count = 0 class loops: def loop(self): print(" ", end="") def A(self): global i global l global i for j in range(i, 5): ...

26.322009

129

0.306285

2,048

17,820

2.665039

0.071777

0.111396

0.056064

0.047637

0.633199

0.538476

0.423232

0.360572

0.329425

0.317332

0

0.046841

0.48844

17,820

676

130

26.360947

0.551887

0.01257

0

0.580101

0

0.048209

0.002786

0

1

0.047218

false

0

0.008432

0

0.10118

0.305228

0

null

0

null

0

1

0

599d3203f355bf0108b50dc6b8026b093b4736fc

395

py

Python

scripts/test_web3.py

AeneasHe/eth-brownie-enhance

e53995924ffb93239b9fab6c1c1a07e9166dd1c6

[ "MIT" ]

1

2021-10-04T23:34:14.000Z

scripts/test_web3.py

AeneasHe/eth-brownie-enhance

e53995924ffb93239b9fab6c1c1a07e9166dd1c6

[ "MIT" ]

null

scripts/test_web3.py

AeneasHe/eth-brownie-enhance

e53995924ffb93239b9fab6c1c1a07e9166dd1c6

[ "MIT" ]

null

import wpath from web3 import Web3 from web3 import Web3, HTTPProvider, IPCProvider, WebsocketProvider def get_web3_by_http_rpc(): address = "http://47.243.92.131:8545" print("===>address:", address) p = HTTPProvider(address) web3 = Web3(p) return web3 w3 = get_web3_by_http_rpc() eth = w3.eth ...

18.809524

67

0.721519

52

395

5.326923

0.5

0.057762

0.101083

0.129964

0.115523

0

0.154545

0.164557

395

20

68

19.75

0.684848

0

0.2

0.106329

0

0.106329

0

1

0.076923

false

0

0.230769

0

0.384615

0.153846

0

null

0

null

0

1

0

599f0418376070df049179da7c8e1b8f17a142f2

834

py

Python

models/sklearn_model.py

Ailln/stock-prediction

9de77de5047446ffceeed83cb610c7edd2cb1ad3

[ "MIT" ]

11

2020-07-11T06:14:29.000Z

2021-12-02T08:48:53.000Z

models/sklearn_model.py

HaveTwoBrush/stock-prediction

9de77de5047446ffceeed83cb610c7edd2cb1ad3

[ "MIT" ]

null

models/sklearn_model.py

HaveTwoBrush/stock-prediction

9de77de5047446ffceeed83cb610c7edd2cb1ad3

[ "MIT" ]

8

2020-04-15T14:29:47.000Z

2021-12-19T09:26:53.000Z

from sklearn import svm from sklearn import ensemble from sklearn import linear_model class Model(object): def __init__(self): self.model_dict = { "SGDRegressor": linear_model.SGDRegressor(max_iter=1000), "HuberRegressor": linear_model.HuberRegressor(), "LinearRegressio...

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null

0

null

0

1

0

59a0a3b7aa59f29b5ba0e35ea23ff02112e179f9

1,023

py

Python

00Python/day05/basic02.py

HaoZhang95/PythonAndMachineLearning

b897224b8a0e6a5734f408df8c24846a98c553bf

[ "MIT" ]

937

2019-05-08T08:46:25.000Z

2022-03-31T12:56:07.000Z

00Python/day05/basic02.py

Sakura-gh/Python24

b97e18867264a0647d5645c7d757a0040e755577

[ "MIT" ]

47

2019-09-17T10:06:02.000Z

2022-03-11T23:46:52.000Z

00Python/day05/basic02.py

Sakura-gh/Python24

b97e18867264a0647d5645c7d757a0040e755577

[ "MIT" ]

354

2019-05-10T02:15:26.000Z

2022-03-30T05:52:57.000Z

""" list元素的排序 sort() 默认无参数是从小到大 reversed(list) 整个列表直接反过来，返回值是一个新的list """ import random a_list = [] for i in range(10): a_list.append(random.randint(0, 200)) print(a_list) a_list.sort() print(a_list) a_list.sort(reverse=True) # 降序，从大到小 print(a_list) new_list = reversed(a_list) # [12,10,7,9] -> ...

18.267857

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0

null

0

null

0

1

0

59a69dfbb3f7dfb97929bbbc436b9c105fe9fa48

1,643

py

Python

ThreeBotPackages/unlock_service/scripts/restore.py

threefoldfoundation/tft-stellar

b36460e8dba547923778273b53fe4f0e06996db0

[ "Apache-2.0" ]

7

2020-02-05T16:10:46.000Z

2021-04-28T10:39:20.000Z

ThreeBotPackages/unlock_service/scripts/restore.py

threefoldfoundation/tft-stellar

b36460e8dba547923778273b53fe4f0e06996db0

[ "Apache-2.0" ]

379

2020-01-13T10:22:21.000Z

2022-03-23T08:59:57.000Z

ThreeBotPackages/unlock_service/scripts/restore.py

threefoldfoundation/tft-stellar

b36460e8dba547923778273b53fe4f0e06996db0

[ "Apache-2.0" ]

3

2020-01-24T09:56:44.000Z

2020-08-03T21:02:38.000Z

#!/usr/bin/env python # pylint: disable=no-value-for-parameter import click import os import sys import requests import json UNLOCK_SERVICE_DEFAULT_HOSTS = {"test": "https://testnet.threefold.io", "public": "https://tokenservices.threefold.io"} @click.command() @click.option("--source", default="export_data", help=...

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0.03125

0

null

0

null

0

1

0

59a7951eb259bc0943a926370fa409960f8cba7c

4,984

py

Python

pgdiff/diff/PgDiffConstraints.py

Onapsis/pgdiff

ee9f618bc339cbfaf7967103e95f9650273550f8

[ "MIT" ]

2

2020-05-11T16:42:48.000Z

2020-08-27T04:11:49.000Z

diff/PgDiffConstraints.py

Gesha3809/PgDiffPy

00466429d0385eb999c32addcbe6e2746782cb5d

[ "MIT" ]

1

2018-04-11T18:19:33.000Z

2018-04-13T15:18:40.000Z

diff/PgDiffConstraints.py

Gesha3809/PgDiffPy

00466429d0385eb999c32addcbe6e2746782cb5d

[ "MIT" ]

1

2018-04-11T15:09:22.000Z

from PgDiffUtils import PgDiffUtils class PgDiffConstraints(object): @staticmethod def createConstraints(writer, oldSchema, newSchema, primaryKey, searchPathHelper): for newTableName, newTable in newSchema.tables.items(): oldTable = None if (oldSchema is not None): ...

41.190083

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0.027816

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0

0.11236

0

null

0

null

0

1

0

59a8688939bcf65bd9fa72756ce61831127d2530

7,715

py

Python

experiments/old_code/result_scripts.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

[ "Apache-2.0" ]

null

experiments/old_code/result_scripts.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

[ "Apache-2.0" ]

null

experiments/old_code/result_scripts.py

hytsang/cs-ranking

241626a6a100a27b96990b4f199087a6dc50dcc0

[ "Apache-2.0" ]

1

2018-10-30T08:57:14.000Z

import inspect import logging import os from itertools import product import numpy as np import pandas as pd from skopt import load, dump from csrank.constants import OBJECT_RANKING from csrank.util import files_with_same_name, create_dir_recursively, rename_file_if_exist from experiments.util import dataset_options_...

43.835227

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0.608425

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7,715

4.647917

0.179167

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0.025101

0.017481

0.422008

0.355446

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0.259525

0.23801

0

0.004839

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7,715

175

120

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0

null

0

null

0

1

0

59a98cedbef2ddabf9e787d32a317a09b1db8b5e

13,108

py

Python

notochord/features/BagOfWords.py

jroose/notochord

da9a6ff5d0fabbf0694d0bee1b81a240b66fa006

[ "MIT" ]

null

notochord/features/BagOfWords.py

jroose/notochord

da9a6ff5d0fabbf0694d0bee1b81a240b66fa006

[ "MIT" ]

null

notochord/features/BagOfWords.py

jroose/notochord

da9a6ff5d0fabbf0694d0bee1b81a240b66fa006

[ "MIT" ]

null

from .. import schema, App, QueryCache, batcher, grouper, insert_ignore, export, lookup, persist, lookup_or_persist, ABCArgumentGroup, WorkOrderArgs, filter_widgets, temptable_scope, FeatureCache from ..ObjectStore import ABCObjectStore from sqlalchemy import Column, Integer, String, Float, ForeignKey, UnicodeText, Uni...

51.403922

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13,108

4.772277

0.171617

0.049793

0.019779

0.033472

0.329737

0.283541

0.209959

0.188658

0.167082

0.138036

0

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13,108

254

252

51.606299

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0.109524

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0.152381

0

null

0

null

0

1

0

59ac1cf688342acfde23c07e10ca2e33caf1f078

450

py

Python

trains/ATIO.py

Columbine21/TFR-Net

1da01577542e7f477fdf7323ec0696aebc632357

[ "MIT" ]

7

2021-11-19T01:32:01.000Z

2021-12-16T11:42:44.000Z

trains/ATIO.py

Columbine21/TFR-Net

1da01577542e7f477fdf7323ec0696aebc632357

[ "MIT" ]

2

2021-11-25T08:28:08.000Z

2021-12-29T08:42:55.000Z

trains/ATIO.py

Columbine21/TFR-Net

1da01577542e7f477fdf7323ec0696aebc632357

[ "MIT" ]

1

2021-12-02T09:42:51.000Z

""" AIO -- All Trains in One """ from trains.baselines import * from trains.missingTask import * __all__ = ['ATIO'] class ATIO(): def __init__(self): self.TRAIN_MAP = { # single-task 'tfn': TFN, 'mult': MULT, 'misa': MISA, # missing-task ...

19.565217

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0.52

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450

4.530612

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0.108108

0

0.346667

450

22

60

20.454545

0.755102

0.111111

0

0.056266

0

1

0.153846

false

0

0.153846

0.076923

0.461538

0

null

0

null

0

1

0

59ad06dd6ba9abadeea6a1f889a37f3edb2cafd7

4,928

py

Python

split_data.py

Anchorboy/PR_FinalProject

e744723c9c9dd55e6995ae5929eb45f90c70819b

[ "MIT" ]

null

split_data.py

Anchorboy/PR_FinalProject

e744723c9c9dd55e6995ae5929eb45f90c70819b

[ "MIT" ]

null

split_data.py

Anchorboy/PR_FinalProject

e744723c9c9dd55e6995ae5929eb45f90c70819b

[ "MIT" ]

null

import os import cv2 import random import shutil import numpy as np def split_img(input_path): split_ratio = 0.8 for dir_name in xrange(10): dir_name += 1 dir_name = str(dir_name) dir_path = os.path.join(input_path, dir_name) img_in_class = os.listdir(dir_path) rand_tr...

36.503704

126

0.631494

773

4,928

3.699871

0.108668

0.067133

0.062937

0.053846

0.729371

0.663287

0.566783

0.534965

0

0.023281

0.250406

4,928

135

127

36.503704

0.750947

0.116071

0

0.526882

0

0.013358

0

1

0.043011

false

0

0.053763

0

0.129032

0

null

0

null

0

1

0

59adc6e4725be00b3a4565680e9bf5a9aec1470e

2,507

py

Python

src/eval_command.py

luoyan407/n-reference

f486b639dc824d296fe0e5ab7a4959e2aef7504c

[ "MIT" ]

7

2020-07-14T02:50:13.000Z

2021-05-11T05:50:51.000Z

src/eval_command.py

luoyan407/n-reference

f486b639dc824d296fe0e5ab7a4959e2aef7504c

[ "MIT" ]

1

2020-12-29T07:25:00.000Z

2021-01-05T01:15:47.000Z

src/eval_command.py

luoyan407/n-reference

f486b639dc824d296fe0e5ab7a4959e2aef7504c

[ "MIT" ]

3

2021-02-25T13:58:01.000Z

2021-08-10T05:49:27.000Z

import os, sys srcFolder = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'src') sys.path.append(srcFolder) from metrics import nss from metrics import auc from metrics import cc from utils import * import numpy as np import argparse parser = argparse.ArgumentParser(description='Evaluate predicted saliency...

45.581818

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0.717591

379

2,507

4.480211

0.248021

0.031802

0.080094

0.058893

0.358068

0.233216

0.095406

0

0.016735

0.118069

2,507

55

123

45.581818

0.751244

0

0.041667

0

0.111643

0

1

0

false

0

0.145833

0

0.145833

0

null

0

null

0

1

0

59af05716663597c09c673680d272fcbf76c4851

294

py

Python

Graficos/grafico_barras.py

brendacgoncalves97/Graficos

250715bf8a0be9b9d39116be396d84512c79d45f

[ "MIT" ]

1

2021-07-14T13:33:02.000Z

Graficos/grafico_barras.py

brendacgoncalves97/Graficos

250715bf8a0be9b9d39116be396d84512c79d45f

[ "MIT" ]

null

Graficos/grafico_barras.py

brendacgoncalves97/Graficos

250715bf8a0be9b9d39116be396d84512c79d45f

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Importação da biblioteca import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [2, 3, 7, 1, 0] titulo = "Gráfico de barras" eixoX = "EixoX" eixoY = "EixoY" # Legendas plt.title(titulo) plt.xlabel(eixoX) plt.ylabel(eixoY) plt.bar(x, y) plt.show()

16.333333

32

0.602041

47

294

3.765957

0.680851

0.022599

0

0.048246

0.22449

294

18

33

16.333333

0.72807

0.187075

0

0.123288

0

1

0

false

0

0.090909

0

0.090909

0

null

0

null

0

1

0

59ba9203063b76fa754fc6f24d65541dacb224e0

2,786

py

Python

features/steps/new-providers.py

lilydartdev/ppe-inventory

aaec9839fe324a3f96255756c15de45853bbb940

[ "MIT" ]

2

2020-10-06T11:33:02.000Z

2021-10-10T13:10:12.000Z

features/steps/new-providers.py

foundry4/ppe-inventory

1ee782aeec5bd3cd0140480f9bf58396eb11403b

[ "MIT" ]

1

2020-04-23T22:19:17.000Z

features/steps/new-providers.py

foundry4/ppe-inventory

1ee782aeec5bd3cd0140480f9bf58396eb11403b

[ "MIT" ]

3

2020-05-26T11:41:40.000Z

2020-06-29T08:53:34.000Z

from behave import * from google.cloud import datastore import os import uuid import pandas as pd @given('site "{site}" exists') def step_impl(context, site): print(f'STEP: Given provider {site} exists') context.domain = os.getenv('DOMAIN') # Instantiates a client datastore_client = datastore.Client()...

34.395062

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0.693108

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2,786

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0.066526

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0.491552

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0.380148

0.253432

0.192186

0

0.001304

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2,786

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0

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0.193548

0.177419

0

null

0

null

0

1

0

59bafbd060c805be29e0312f879c03efc18325bc

2,137

py

Python

params.py

adarshchbs/disentanglement

77e74409cd0220dbfd9e2809688500dcb2ecf5a5

[ "MIT" ]

null

params.py

adarshchbs/disentanglement

77e74409cd0220dbfd9e2809688500dcb2ecf5a5

[ "MIT" ]

null

params.py

adarshchbs/disentanglement

77e74409cd0220dbfd9e2809688500dcb2ecf5a5

[ "MIT" ]

null

import os gpu_flag = False gpu_name = 'cpu' x_dim = 2048 num_class = 87 num_query = 5 batch_size = 84 eval_batch_size = 128 glove_dim = 200 pretrain_lr = 1e-4 num_epochs_pretrain = 20 eval_step_pre = 1 fusion_iter_len = 100000 # num_epochs_pretrain = 30 num_epochs_style = 30 num_epochs_fusion = 50 log_step_pre = ...

29.273973

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0.801591

342

2,137

4.473684

0.22807

0.094118

0.110458

0.058824

0.224837

0.031373

0

0.021042

0.110435

2,137

72

70

29.680556

0.783798

0.011231

0

0.215538

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0

1

0

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0

0.020833

0

0.020833

0

null

0

null

0

1

0

59bbb20f29672cea5fbe599708a44a6f4792d1f5

17,567

py

Python

tests/views/view_test_case.py

BMeu/Aerarium

119946cead727ef68b5ecea339990d982c006391

[ "MIT" ]

null

tests/views/view_test_case.py

BMeu/Aerarium

119946cead727ef68b5ecea339990d982c006391

[ "MIT" ]

139

2018-12-26T07:54:31.000Z

2021-06-01T23:14:45.000Z

tests/views/view_test_case.py

BMeu/Aerarium

119946cead727ef68b5ecea339990d982c006391

[ "MIT" ]

null

# -*- coding: utf-8 -*- from typing import Any from typing import Dict from typing import Optional from typing import Set from unittest import TestCase from flask import abort from app import create_app from app import db from app.configuration import TestConfiguration from app.userprofile import Permission from ap...

40.383908

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17,567

4.866012

0.112997

0.02313

0.016154

0.01799

0.569252

0.527031

0.48738

0.469298

0.461404

0

0.004039

0.29527

17,567

434

121

40.476959

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0.430637

0

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0

0.002304

0.121795

1

0.121795

false

0.032051

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0

0.25641

0

null

0

null

0

1

0

59bd0619a2a8bf9b935ee21c0cf4d04a4238a3ac

1,483

py

Python

packtype/union.py

Intuity/packtype

bcd74dad8388883ddb4cfde40e1a11a14282dcbd

[ "Apache-2.0" ]

1

2021-09-08T21:42:33.000Z

packtype/union.py

Intuity/packtype

bcd74dad8388883ddb4cfde40e1a11a14282dcbd

[ "Apache-2.0" ]

2

2021-12-30T17:43:04.000Z

2021-12-30T18:10:14.000Z

packtype/union.py

Intuity/packtype

bcd74dad8388883ddb4cfde40e1a11a14282dcbd

[ "Apache-2.0" ]

null

# Copyright 2021, Peter Birch, mailto:peter@lightlogic.co.uk # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable l...

39.026316

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0.688469

207

1,483

4.835749

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0.05994

0.025974

0.031968

0.051948

0

0.007874

0.229265

1,483

37

81

40.081081

0.867892

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0

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0

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0.1

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0

0.3

0

0.5

0

null

0

null

0

1

0

59bd6a738434b3879975e016eb21f88fd1d0fd13

644

py

Python

ExerciseFiles/Ch03/03_07/03_07_Start.py

rlwheelwright/PY3_StandardLib

0d9acc02f5ca934eab774bbdd5acc3c92eff7191

[ "Apache-2.0" ]

null

ExerciseFiles/Ch03/03_07/03_07_Start.py

rlwheelwright/PY3_StandardLib

0d9acc02f5ca934eab774bbdd5acc3c92eff7191

[ "Apache-2.0" ]

null

ExerciseFiles/Ch03/03_07/03_07_Start.py

rlwheelwright/PY3_StandardLib

0d9acc02f5ca934eab774bbdd5acc3c92eff7191

[ "Apache-2.0" ]

null

# Zipfile Module import zipfile # Open and List zip = zipfile.ZipFile('Archive.zip', 'r') print(zip.namelist()) # Lists everything within zip file # Metadata in the zip folder for meta in zip.infolist(): # List of the metadata within zip file print(meta) info = zip.getinfo("purchased.txt") # Access to files in ...

24.769231

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644

4.773196

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0.056156

0.077754

0

0.150621

644

25

80

25.76

0.846435

0.428571

0

0.241573

0

1

0

false

0

0.076923

0

0.076923

0.307692

0

null

0

null

0

1

0

59bee126e5a1aef1b499b08431cc09a3c72eb295

4,059

py

Python

code/src/algorithm/algo.py

haloship/rec-sys-dynamics

886095eca8c71cc2f30d64f0b1da9a0a8f2f37f5

[ "MIT" ]

null

code/src/algorithm/algo.py

haloship/rec-sys-dynamics

886095eca8c71cc2f30d64f0b1da9a0a8f2f37f5

[ "MIT" ]

null

code/src/algorithm/algo.py

haloship/rec-sys-dynamics

886095eca8c71cc2f30d64f0b1da9a0a8f2f37f5

[ "MIT" ]

null

"""Recommendation Algorithm Base Class This module is a base class for algorithms using sparse matrices The required packages can be found in requirements.txt """ import pandas as pd import numpy as np from lenskit import batch, topn, util from lenskit import crossfold as xf from lenskit.algorithms import Recommende...

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py

Python

resources/tvdbsimple/user.py

sergserg2/script.uptodate.imdb.ratings

091cafc2b2249dc757f877136b55fee86083c140

[ "Apache-2.0" ]

null

resources/tvdbsimple/user.py

sergserg2/script.uptodate.imdb.ratings

091cafc2b2249dc757f877136b55fee86083c140

[ "Apache-2.0" ]

null

resources/tvdbsimple/user.py

sergserg2/script.uptodate.imdb.ratings

091cafc2b2249dc757f877136b55fee86083c140

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ This module implements the User functionality of TheTVDb API. Allows to retrieve, add and delete user favorites and ratings. See [Users API section](https://api.thetvdb.com/swagger#!/Users) """ from .base import TVDB class User(TVDB): """ User class to retrieve, add and delete us...

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59bf391cc29d920dbbc64d180ce68aef3842279a

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py

Python

LR35902Arch.py

Lukas-Dresel/binja-GameBoy_LR35902

f4d34b0477c20d353f45e731a2a68ee83e5509e3

[ "MIT" ]

null

LR35902Arch.py

Lukas-Dresel/binja-GameBoy_LR35902

f4d34b0477c20d353f45e731a2a68ee83e5509e3

[ "MIT" ]

null

LR35902Arch.py

Lukas-Dresel/binja-GameBoy_LR35902

f4d34b0477c20d353f45e731a2a68ee83e5509e3

[ "MIT" ]

null

#!/usr/bin/env python import re from binaryninja.log import log_info from binaryninja.architecture import Architecture from binaryninja.function import RegisterInfo, InstructionInfo, InstructionTextToken from binaryninja.enums import InstructionTextTokenType, BranchType, FlagRole, LowLevelILFlagCondition from . impo...

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59c3e17fa8af255a1451fdfdd7e503426c323a8e

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py

Python

src/main.py

possoj/Mobile-URSONet

1db664091f4a0daa2925174a67c21d20a1ed4db3

[ "MIT" ]

null

src/main.py

possoj/Mobile-URSONet

1db664091f4a0daa2925174a67c21d20a1ed4db3

[ "MIT" ]

null

src/main.py

possoj/Mobile-URSONet

1db664091f4a0daa2925174a67c21d20a1ed4db3

[ "MIT" ]

null

""" Copyright (c) 2022 Julien Posso """ import torch import optuna from config import Config from pose_net import POSENet from submission import SubmissionWriter from print_results import print_training_loss, print_training_score, print_beta_tuning, print_error_distance import os import numpy as np import random def...

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null

0

null

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1

0

59c55dd1d2d8290c9a483ce4efd76296c72441ee

1,482

py

Python

run_time/src/gae_server/third_party/old-fonttools-master/Lib/fontTools/misc/fixedTools.py

moyogo/tachyfont

05c8b3e7357e7a13af37ef81b719a0ff749105a5

[ "Apache-2.0" ]

2

2019-05-24T18:19:18.000Z

2020-09-17T10:23:13.000Z

run_time/src/gae_server/third_party/old-fonttools-master/Lib/fontTools/misc/fixedTools.py

moyogo/tachyfont

05c8b3e7357e7a13af37ef81b719a0ff749105a5

[ "Apache-2.0" ]

9

2019-06-15T21:31:27.000Z

2021-05-08T18:55:51.000Z

run_time/src/gae_server/third_party/old-fonttools-master/Lib/fontTools/misc/fixedTools.py

moyogo/tachyfont

05c8b3e7357e7a13af37ef81b719a0ff749105a5

[ "Apache-2.0" ]

null

"""fontTools.misc.fixedTools.py -- tools for working with fixed numbers. """ from __future__ import print_function, division, absolute_import from fontTools.misc.py23 import * __all__ = [ "fixedToFloat", "floatToFixed", ] def fixedToFloat(value, precisionBits): """Converts a fixed-point number to a float, c...

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0.053388

0.055441

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0.056432

0.18691

1,482

65

73

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0

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0

null

0

null

0

1

0

59c911d5e0c8485540b7cc8e8e2d8d57369a43f1

725

py

Python

Class3/selenium_waits.py

techsparksguru/python_ci_automation

65e66266fdf2c14f593c6f098a23770621faef41

[ "MIT" ]

null

Class3/selenium_waits.py

techsparksguru/python_ci_automation

65e66266fdf2c14f593c6f098a23770621faef41

[ "MIT" ]

9

2020-02-13T09:14:12.000Z

2022-01-13T03:17:03.000Z

Class3/selenium_waits.py

techsparksguru/python_ci_automation

65e66266fdf2c14f593c6f098a23770621faef41

[ "MIT" ]

1

2021-03-10T03:27:37.000Z

from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC # import selenium exceptions module from selenium.common.exceptions import * browser = webdriver.Chrome() browser.get("ht...

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null

0

null

0

1

0

59cb2e8f401ebf77f3a739d719001e9eb7a93754

1,670

py

Python

stacker/lookups/cognito-user-pool-app-client-secret-lookup.py

pataraco/hart_challenge

47872a17b5ade54620df92a27d0ece2a8dfa6f07

[ "MIT" ]

null

stacker/lookups/cognito-user-pool-app-client-secret-lookup.py

pataraco/hart_challenge

47872a17b5ade54620df92a27d0ece2a8dfa6f07

[ "MIT" ]

2

2020-04-15T16:39:18.000Z

2021-05-11T15:24:56.000Z

stacker/lookups/cognito-user-pool-app-client-secret-lookup.py

pataraco/scripts

14ac6e10369ad3cc56eb7ce45adc87acd8935b60

[ "MIT" ]

1

2017-05-28T10:45:14.000Z

"""Stacker custom lookup to get a Cognito User Pool App Client Secret.""" import logging from stacker.session_cache import get_session TYPE_NAME = 'CognitoUserPoolAppClientSecret' LOGGER = logging.getLogger(__name__) def handler(value, provider, **kwargs): # pylint: disable=W0613 """ Lookup a Cognito User Pool ...

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null

0

null

0

1

0

59cbb8472e1057ce2bd992ed7975f6ff17e93e2b

4,202

py

Python

src/year2018/day07a.py

lancelote/advent_of_code

06dda6ca034bc1e86addee7798bb9b2a34ff565b

[ "Unlicense" ]

10

2017-12-11T17:54:52.000Z

2021-12-09T20:16:30.000Z

src/year2018/day07a.py

lancelote/advent_of_code

06dda6ca034bc1e86addee7798bb9b2a34ff565b

[ "Unlicense" ]

260

2015-12-09T11:03:03.000Z

2021-12-12T14:32:23.000Z

src/year2018/day07a.py

lancelote/advent_of_code

06dda6ca034bc1e86addee7798bb9b2a34ff565b

[ "Unlicense" ]

null

r"""2018 - Day 7 Part 1: The Sum of Its Parts. You find yourself standing on a snow-covered coastline; apparently, you landed a little off course. The region is too hilly to see the North Pole from here, but you do spot some Elves that seem to be trying to unpack something that washed ashore. It's quite cold out, so y...

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0.061231

0.050068

0

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0.223465

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null

0

null

0

1

0

59cffb75f77e318a5d2a6eaf36504527fb164588

12,140

py

Python

functions_utils.py

b-mu/kbfgs_neurips2020_public

f9e8300211dee764e0a669d50a7176f83a28034a

[ "MIT" ]

null

functions_utils.py

b-mu/kbfgs_neurips2020_public

f9e8300211dee764e0a669d50a7176f83a28034a

[ "MIT" ]

null

functions_utils.py

b-mu/kbfgs_neurips2020_public

f9e8300211dee764e0a669d50a7176f83a28034a

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F import numpy as np import scipy import copy def get_loss_from_z(model, z, t, reduction): if model.name_loss == 'multi-class classification': criterion = torch.nn.CrossEntropyLoss() loss = criterion(z, t.type(torch.LongTensor).to(z...

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null

0

null

0

1

0

59d34d92fd7a34250d7ea36c0e7b42576a6d3121

1,332

py

Python

p352_Data_Stream_as_Disjoint_Intervals.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

p352_Data_Stream_as_Disjoint_Intervals.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

p352_Data_Stream_as_Disjoint_Intervals.py

bzhou26/leetcode_sol

82506521e2cc412f96cd1dfc3c8c3ab635f67f73

[ "MIT" ]

null

''' - Leetcode problem: 352 - Difficulty: Hard - Brief problem description: Given a data stream input of non-negative integers a1, a2, ..., an, ..., summarize the numbers seen so far as a list of disjoint intervals. For example, suppose the integers from the data stream are 1, 3, 7, 2, 6, ..., then the summary will...

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0.011436

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null

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