hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
706f77988f356002f78f82f354138db4b26d737c | 2,989 | py | Python | Section_16 _Orientacao_a_objeto/execicios/ex02.py | thiagofreitascarneiro/Python_OOP | 037621e334ec7159fe0da937db8418eba6321bdd | [
"MIT"
] | null | null | null | Section_16 _Orientacao_a_objeto/execicios/ex02.py | thiagofreitascarneiro/Python_OOP | 037621e334ec7159fe0da937db8418eba6321bdd | [
"MIT"
] | null | null | null | Section_16 _Orientacao_a_objeto/execicios/ex02.py | thiagofreitascarneiro/Python_OOP | 037621e334ec7159fe0da937db8418eba6321bdd | [
"MIT"
] | null | null | null | '''
Crie uma classe Agenda que pode armazenar 10 pessoas e seja capaz de realizar as
seguintes operações:
* void armazenaPessoa(String nome, int idade, float altura);
* void removePessoa(String nome);
* int buscaPessoa(String nome); // informa em que posição da agenda está a pessoa
* void imprimeAgenda... | 27.675926 | 142 | 0.641352 | 1,675 | 0.556294 | 0 | 0 | 0 | 0 | 0 | 0 | 1,391 | 0.461973 |
706f947075d48d6e639e35f385287b783e8a5945 | 3,148 | py | Python | get_feature.py | 1895-art/stock-price-predict | 951a632cd397e969229d793e0c23f0575d154240 | [
"MIT"
] | 95 | 2018-07-15T10:04:27.000Z | 2022-03-24T11:49:18.000Z | get_feature.py | 1895-art/stock-price-predict | 951a632cd397e969229d793e0c23f0575d154240 | [
"MIT"
] | 3 | 2019-01-18T08:09:57.000Z | 2020-01-07T13:19:32.000Z | get_feature.py | kaka-lin/stock-price-predict | 951a632cd397e969229d793e0c23f0575d154240 | [
"MIT"
] | 27 | 2018-08-07T05:17:05.000Z | 2021-06-20T01:53:38.000Z | import getopt, sys, os
import csv
import pandas as pd
import locale
from locale import atof
locale.setlocale(locale.LC_NUMERIC, '')
def main():
try:
opts, args = getopt.getopt(sys.argv[1:], "ho:v:f:", ["help", "output=", "filepath"])
except getopt.GetoptError as err:
usage()
sys.exit(... | 26.233333 | 101 | 0.495553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 792 | 0.247037 |
7070b93051b38b982ed7f6d291e2d1ee4d9fa685 | 811 | py | Python | graphs.py | meyresearch/ANI-Peptides | 84684b484119699cb5458f4c2aed5fa8a482c315 | [
"Apache-2.0"
] | 1 | 2022-03-31T16:43:55.000Z | 2022-03-31T16:43:55.000Z | graphs.py | meyresearch/ANI-Peptides | 84684b484119699cb5458f4c2aed5fa8a482c315 | [
"Apache-2.0"
] | null | null | null | graphs.py | meyresearch/ANI-Peptides | 84684b484119699cb5458f4c2aed5fa8a482c315 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as tkr
import os
import openmm.unit as unit
output_dir = "/home/mbowley/ANI-Peptides/outputs/equilibration_aaa_capped_amber_121250_310322"
STATE_DATA_FN = "equilibration_state_data.csv"
# Make some graphs
report = pd.re... | 36.863636 | 139 | 0.750925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 0.339088 |
7070e1e2b4357ac3610eef2cb5402b0e25e73572 | 13,883 | py | Python | resources/lib/api/api_requests.py | sajo84/plugin.video.netflix | 757cd2866f2c89c777d12a2772484fe675743543 | [
"MIT"
] | null | null | null | resources/lib/api/api_requests.py | sajo84/plugin.video.netflix | 757cd2866f2c89c777d12a2772484fe675743543 | [
"MIT"
] | null | null | null | resources/lib/api/api_requests.py | sajo84/plugin.video.netflix | 757cd2866f2c89c777d12a2772484fe675743543 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Copyright (C) 2017 Sebastian Golasch (plugin.video.netflix)
Copyright (C) 2018 Caphm (original implementation module)
Methods to execute requests to Netflix API
SPDX-License-Identifier: MIT
See LICENSES/MIT.md for more information.
"""
from __future__ import absolute_imp... | 40.832353 | 119 | 0.644961 | 0 | 0 | 0 | 0 | 7,115 | 0.512497 | 0 | 0 | 5,228 | 0.376576 |
707187b48b45b72042bc1f7d90faf6f81262ae8b | 1,138 | py | Python | cybox/test/common/extracted_features_test.py | siemens/python-cybox | b692a98c8a62bd696e2a0dda802ada7359853482 | [
"BSD-3-Clause"
] | null | null | null | cybox/test/common/extracted_features_test.py | siemens/python-cybox | b692a98c8a62bd696e2a0dda802ada7359853482 | [
"BSD-3-Clause"
] | null | null | null | cybox/test/common/extracted_features_test.py | siemens/python-cybox | b692a98c8a62bd696e2a0dda802ada7359853482 | [
"BSD-3-Clause"
] | 1 | 2019-04-16T18:37:32.000Z | 2019-04-16T18:37:32.000Z | # Copyright (c) 2014, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for complete terms.
import unittest
from cybox.common import ExtractedFeatures
from cybox.test import EntityTestCase
# Need to do this so the binding class is registered.
import cybox.bindings.cybox_common
from cybox.bindings.address... | 33.470588 | 77 | 0.672232 | 657 | 0.577329 | 0 | 0 | 0 | 0 | 0 | 0 | 542 | 0.476274 |
7071e73ce6bf98c0a8ebbcf53ffea1005ca30c0c | 5,640 | py | Python | openslides/motions/config_variables.py | rolandgeider/OpenSlides | 331141c17cb23da26e377d4285efdb4a50753a59 | [
"MIT"
] | null | null | null | openslides/motions/config_variables.py | rolandgeider/OpenSlides | 331141c17cb23da26e377d4285efdb4a50753a59 | [
"MIT"
] | null | null | null | openslides/motions/config_variables.py | rolandgeider/OpenSlides | 331141c17cb23da26e377d4285efdb4a50753a59 | [
"MIT"
] | null | null | null | from django.core.validators import MinValueValidator
from openslides.core.config import ConfigVariable
from openslides.poll.models import PERCENT_BASE_CHOICES
from .models import Workflow
def get_workflow_choices():
"""
Returns a list of all workflows to be used as choices for the config variable
'motio... | 30.989011 | 98 | 0.626064 | 0 | 0 | 5,119 | 0.907624 | 0 | 0 | 0 | 0 | 2,483 | 0.440248 |
7071f4925611f43a47a55fea91ffd98ac1480e78 | 22,743 | py | Python | spect.py | philips-software/random_forest | 5cbc95aa57ac33260720afd3fc779e7d71b5658c | [
"MIT"
] | 2 | 2020-01-09T23:26:30.000Z | 2021-01-27T18:34:15.000Z | spect.py | Charterhouse/random_forest | b842f08fee1054dbff78b6fb3afd4006a7f14a6d | [
"MIT"
] | null | null | null | spect.py | Charterhouse/random_forest | b842f08fee1054dbff78b6fb3afd4006a7f14a6d | [
"MIT"
] | 2 | 2020-03-03T18:30:14.000Z | 2021-09-06T13:55:06.000Z | from mpyc.runtime import mpc
from src.dataset import ObliviousDataset, Sample
from src.output import output
from src.secint import secint as s
from src.forest import train_forest
def sample(ins, out):
return Sample([s(i) for i in ins], s(out))
spect_samples = ObliviousDataset.create(
sample([1, 0, 0, 0, 1,... | 77.357143 | 83 | 0.358 | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 0.010333 | 26 | 0.001143 |
70727332781524d67d9e08873ec4e97cf38aa95f | 6,578 | py | Python | projects/wgan/gaussian_gan.py | niujinshuchong/stochastic_processes | ea2538d2f09c39bec1834df5addd37e0699a88bf | [
"MIT"
] | null | null | null | projects/wgan/gaussian_gan.py | niujinshuchong/stochastic_processes | ea2538d2f09c39bec1834df5addd37e0699a88bf | [
"MIT"
] | null | null | null | projects/wgan/gaussian_gan.py | niujinshuchong/stochastic_processes | ea2538d2f09c39bec1834df5addd37e0699a88bf | [
"MIT"
] | null | null | null | import argparse
import os
import numpy as np
import math
import sys
import matplotlib.pyplot as plt
import torchvision.transforms as transforms
from torchvision.utils import save_image
import random
from math import *
from torch.utils.data import DataLoader
from torchvision import datasets
from torch.autograd import Va... | 33.390863 | 129 | 0.594862 | 1,554 | 0.236242 | 0 | 0 | 0 | 0 | 0 | 0 | 1,094 | 0.166312 |
707383f583ad7bbda06c20e6e87636595bd3dd55 | 1,302 | py | Python | _669.py | elfgzp/leetCode | 964c6574d310a9a6c486bf638487fd2f72b83b3f | [
"MIT"
] | 3 | 2019-04-12T06:22:56.000Z | 2019-05-04T04:25:01.000Z | _669.py | elfgzp/Leetcode | 964c6574d310a9a6c486bf638487fd2f72b83b3f | [
"MIT"
] | null | null | null | _669.py | elfgzp/Leetcode | 964c6574d310a9a6c486bf638487fd2f72b83b3f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'gzp'
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
from utils import Tree
class Solution(object):
def trimBST(self, root, L, R):
"""
:... | 22.067797 | 52 | 0.523041 | 788 | 0.605223 | 0 | 0 | 0 | 0 | 0 | 0 | 424 | 0.325653 |
7074d22367368afc1491da30cd43502d5330386e | 3,895 | py | Python | spiders/a85.py | senlyu163/crawler | ecf95f7b356c726922b5e5d90000fda3e16ae90d | [
"Apache-2.0"
] | null | null | null | spiders/a85.py | senlyu163/crawler | ecf95f7b356c726922b5e5d90000fda3e16ae90d | [
"Apache-2.0"
] | null | null | null | spiders/a85.py | senlyu163/crawler | ecf95f7b356c726922b5e5d90000fda3e16ae90d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from ..utils import extract_CN_from_content
from ..items import ScrapySpiderItem
import re
from scrapy_splash import SplashRequest
class A85Spider(CrawlSpider):
name = '85'
allowe... | 44.261364 | 149 | 0.567394 | 3,630 | 0.931964 | 555 | 0.14249 | 0 | 0 | 0 | 0 | 1,209 | 0.310398 |
7074f909c5703484cedced7916b80fe2527f9870 | 118 | py | Python | src/GUM_Dispenser/__init__.py | jrdnfike/GUM_Dispenser | b2655339445af4b1fb328676e2ec9f239dcd6bfc | [
"MIT"
] | null | null | null | src/GUM_Dispenser/__init__.py | jrdnfike/GUM_Dispenser | b2655339445af4b1fb328676e2ec9f239dcd6bfc | [
"MIT"
] | null | null | null | src/GUM_Dispenser/__init__.py | jrdnfike/GUM_Dispenser | b2655339445af4b1fb328676e2ec9f239dcd6bfc | [
"MIT"
] | null | null | null | __all__ = ['GUM_Dispenser_Main', 'GUM_setup_parser', 'GUM_Describe_Source', 'GUM_Generate_NOMNOML', 'GUM_Exceptions']
| 59 | 117 | 0.79661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.822034 |
70755d5d03c099f6085f0bb0e914a4c7034022e9 | 2,589 | py | Python | skeleton/functional.py | dogoncouch/dogoncouch-misc | 46e020cc541cc6cf19edc0114a73f24e96ce15d0 | [
"MIT"
] | 3 | 2020-02-05T07:25:01.000Z | 2021-12-24T20:08:03.000Z | skeleton/functional.py | dogoncouch/dogoncouch-misc | 46e020cc541cc6cf19edc0114a73f24e96ce15d0 | [
"MIT"
] | null | null | null | skeleton/functional.py | dogoncouch/dogoncouch-misc | 46e020cc541cc6cf19edc0114a73f24e96ce15d0 | [
"MIT"
] | 2 | 2018-02-24T18:59:29.000Z | 2020-06-14T15:15:19.000Z | #!/usr/bin/env python
# MIT License
#
# Copyright (c) 2017 Dan Persons (dpersonsdev@gmail.com)
#
# 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 limi... | 28.450549 | 80 | 0.679413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,492 | 0.576284 |
7076835d176f91ff169e5946974bfd4dbfe39989 | 14,077 | py | Python | src/silx/gui/plot/tools/RadarView.py | rnwatanabe/silx | b0395f4a06c048b7778dc04ada828edd195ef02d | [
"CC0-1.0",
"MIT"
] | 94 | 2016-03-04T17:25:53.000Z | 2022-03-18T18:05:23.000Z | src/silx/gui/plot/tools/RadarView.py | rnwatanabe/silx | b0395f4a06c048b7778dc04ada828edd195ef02d | [
"CC0-1.0",
"MIT"
] | 2,841 | 2016-01-21T09:06:49.000Z | 2022-03-18T14:53:56.000Z | src/silx/gui/plot/tools/RadarView.py | rnwatanabe/silx | b0395f4a06c048b7778dc04ada828edd195ef02d | [
"CC0-1.0",
"MIT"
] | 71 | 2015-09-30T08:35:35.000Z | 2022-03-16T07:16:28.000Z | # coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2015-2018 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to d... | 38.88674 | 84 | 0.617674 | 12,431 | 0.883072 | 0 | 0 | 0 | 0 | 0 | 0 | 4,669 | 0.331676 |
707748746f67df072b8d127ebd45987c9f4adb01 | 1,486 | py | Python | purly/py/purly/model/client.py | rmorshea/purly | 0d07d6d7636fd81d9c1c14e2df6a32fc28b325f7 | [
"MIT"
] | 2 | 2018-08-18T05:39:24.000Z | 2018-08-21T19:02:16.000Z | purly/py/purly/model/client.py | rmorshea/purly | 0d07d6d7636fd81d9c1c14e2df6a32fc28b325f7 | [
"MIT"
] | 2 | 2018-07-27T07:14:19.000Z | 2018-07-27T07:17:06.000Z | purly/py/purly/model/client.py | rmorshea/purly | 0d07d6d7636fd81d9c1c14e2df6a32fc28b325f7 | [
"MIT"
] | null | null | null | import json
import time
import websocket
class Client:
def __init__(self, url):
self._url = url
self._updates = []
self._socket = create_socket(url, connection_timeout=2)
def sync(self):
recv = []
while True:
data = self._socket.recv()
if data:... | 26.070175 | 73 | 0.520188 | 1,142 | 0.768506 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.04576 |
707a6afb505aab8fb903afd510d0ef10d069c552 | 1,378 | py | Python | deeplearning-image-gpu/resource/scoring-recipe-helper.py | gbetegon88/dataiku-contrib | 4683a9e08a3706a163810bf104bf6464025e235e | [
"Apache-2.0"
] | 93 | 2015-10-28T13:15:45.000Z | 2022-03-07T01:16:24.000Z | deeplearning-image-gpu/resource/scoring-recipe-helper.py | gbetegon88/dataiku-contrib | 4683a9e08a3706a163810bf104bf6464025e235e | [
"Apache-2.0"
] | 130 | 2015-11-13T17:41:41.000Z | 2022-03-30T16:37:44.000Z | deeplearning-image-gpu/resource/scoring-recipe-helper.py | gbetegon88/dataiku-contrib | 4683a9e08a3706a163810bf104bf6464025e235e | [
"Apache-2.0"
] | 88 | 2015-10-29T09:36:23.000Z | 2021-12-13T20:14:08.000Z | import dataiku
import glob
import pandas as pd
import os
def do(payload, config, plugin_config, inputs):
if "method" not in payload:
return {}
client = dataiku.api_client()
if payload["method"] == "get-valid-csv-filenames":
required_columns = ["id", "className"]
sep = ","
... | 32.046512 | 103 | 0.621916 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 0.164731 |
707aa505d5a6e2672f86a0292a8b2705393bee85 | 1,232 | py | Python | practice_problems/prog4_vi.py | vishwasks32/python3-learning | 39f39238428727ef0c97c74c8de2570bd84da403 | [
"Apache-2.0"
] | 3 | 2018-02-08T21:09:27.000Z | 2021-06-15T04:48:46.000Z | practice_problems/prog4_vi.py | vishwasks32/python3-learning | 39f39238428727ef0c97c74c8de2570bd84da403 | [
"Apache-2.0"
] | null | null | null | practice_problems/prog4_vi.py | vishwasks32/python3-learning | 39f39238428727ef0c97c74c8de2570bd84da403 | [
"Apache-2.0"
] | 1 | 2018-02-08T21:09:31.000Z | 2018-02-08T21:09:31.000Z | #!/usr/bin/env python3
#
# Author: Vishwas K Singh
# Email: vishwasks32@gmail.com
#
# Script to convert Celcius Temperature to Farenheit
def temp_conv(temp_type, temp_val):
''' Function to convert Temperature from Celcius to farenheit
and vice versa'''
if(temp_type == 'f'):
temp_faren = ((9/5)*t... | 35.2 | 98 | 0.647727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.456981 |
707b95b9e394fd7ccab1823b73b68b69754eb13a | 696 | py | Python | 2020/09/part1.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | 2020/09/part1.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | 2020/09/part1.py | timofurrer/aoc-2020 | 446b688a57601d9891f520e43b7f822c373a6ff4 | [
"MIT"
] | null | null | null | import os
import sys
puzzle_input_path = os.path.join(os.path.dirname(__file__), "input_1.txt")
with open(puzzle_input_path) as puzzle_input_file:
puzzle_input_raw = puzzle_input_file.read()
preamble = 25
numbers = [int(x) for x in puzzle_input_raw.splitlines()]
number = next(
n
for i, n
in enumera... | 29 | 81 | 0.70546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0.354885 |
707c819d3655d7f0bad5a54fee02df54610cbc35 | 4,416 | py | Python | dualing/core/model.py | gugarosa/dualing | a625476946bded8e6c9211d83fe79dc16b3d8f16 | [
"Apache-2.0"
] | 2 | 2020-08-03T08:02:48.000Z | 2020-11-21T04:11:45.000Z | dualing/core/model.py | gugarosa/dualing | a625476946bded8e6c9211d83fe79dc16b3d8f16 | [
"Apache-2.0"
] | 1 | 2020-09-29T12:58:33.000Z | 2020-09-29T12:58:33.000Z | dualing/core/model.py | gugarosa/dualing | a625476946bded8e6c9211d83fe79dc16b3d8f16 | [
"Apache-2.0"
] | null | null | null | """Base architecture and Siamese Network.
"""
import tensorflow as tf
import dualing.utils.exception as e
class Base(tf.keras.Model):
"""A Base class is responsible for easily-implementing the
base twin architecture of a Siamese Network.
"""
def __init__(self, name=''):
"""Initialization m... | 25.234286 | 97 | 0.615942 | 4,302 | 0.974185 | 0 | 0 | 256 | 0.057971 | 0 | 0 | 3,298 | 0.74683 |
707ebe5c40335557036acfbcae3d06ae69d50f9a | 2,642 | py | Python | app/dapp_examples/py/media_analysis/image_quality/App.py | TheAdamBC/AdamBC | e854a64c19442e24a50e4d65ce2f2e8f6ea46f4c | [
"BSD-3-Clause"
] | 1 | 2021-12-14T07:28:46.000Z | 2021-12-14T07:28:46.000Z | app/dapp_examples/py/media_analysis/image_quality/App.py | TheAdamBC/AdamBC | e854a64c19442e24a50e4d65ce2f2e8f6ea46f4c | [
"BSD-3-Clause"
] | null | null | null | app/dapp_examples/py/media_analysis/image_quality/App.py | TheAdamBC/AdamBC | e854a64c19442e24a50e4d65ce2f2e8f6ea46f4c | [
"BSD-3-Clause"
] | null | null | null | #**
# * The Decentralized App (DApp):
# * This is where the App developer writes the decentralized app.
# * Make sure the code is written within the specified space region.
# *
# * IMPORTANT:
# * 1. Developer DApp CODE MUST BE WRITTEN WITHIN SPECIFIED SPACE REGION.
# * 2. DApp MUST return values through the 'results'... | 33.443038 | 142 | 0.623391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,939 | 0.733914 |
70811820b7b88435ba6e11176b752f15dc282feb | 1,142 | py | Python | tests/conftest.py | jmolmo/managed-tenants-cli | fb3dd79f6629884577aa7333fdfe8d78802a79d4 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | jmolmo/managed-tenants-cli | fb3dd79f6629884577aa7333fdfe8d78802a79d4 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | jmolmo/managed-tenants-cli | fb3dd79f6629884577aa7333fdfe8d78802a79d4 | [
"Apache-2.0"
] | 1 | 2021-09-02T10:11:52.000Z | 2021-09-02T10:11:52.000Z | # Configure different hypothesis profiles
import os
from hypothesis import HealthCheck, Phase, settings
FAST_PROFILE = "fast"
CI_PROFILE = "ci"
# 'fast' profile for local development
settings.register_profile(
FAST_PROFILE,
# Set to true for test reproducibility
# https://hypothesis.readthedocs.io/en/la... | 29.282051 | 95 | 0.748687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 526 | 0.460595 |
70813d4b3c14a6bf03e7e3ca20a7dd8dc96c4b00 | 1,859 | py | Python | app/user/views.py | spark8103/deploy | 7a99c5fcb11a93429814d2a519dca5ea3f99ea3a | [
"MIT"
] | 2 | 2017-11-10T18:06:36.000Z | 2018-01-25T13:53:10.000Z | app/user/views.py | spark8103/deploy | 7a99c5fcb11a93429814d2a519dca5ea3f99ea3a | [
"MIT"
] | null | null | null | app/user/views.py | spark8103/deploy | 7a99c5fcb11a93429814d2a519dca5ea3f99ea3a | [
"MIT"
] | null | null | null | # coding: utf-8
from flask import render_template, redirect, request, url_for, flash, current_app
from flask_login import login_user, logout_user, login_required, UserMixin
from . import user
from .forms import LoginForm
from .. import login_manager
from config import Config
import time
users = Config.USER_LIST
clas... | 24.786667 | 103 | 0.661646 | 31 | 0.016676 | 0 | 0 | 1,497 | 0.805272 | 0 | 0 | 226 | 0.121571 |
70824a33f97bb12dc07fe121ae5ed43e23d5b01c | 2,994 | py | Python | src/python/exsim3.py | akafael/unb-controle-digital | 4c4915eb1c4d070886284c0f79ce3ee26ece8695 | [
"MIT"
] | null | null | null | src/python/exsim3.py | akafael/unb-controle-digital | 4c4915eb1c4d070886284c0f79ce3ee26ece8695 | [
"MIT"
] | null | null | null | src/python/exsim3.py | akafael/unb-controle-digital | 4c4915eb1c4d070886284c0f79ce3ee26ece8695 | [
"MIT"
] | null | null | null | """
Laboratory Experiment 3 - Script
- Rootlocus project
@author Rafael Lima
"""
from sympy import *
def simplifyFraction(G,s):
"""
Expand numerator and denominator from given fraction
"""
num,den = fraction(G.expand().simplify())
num = Poly(num,s)
den = Poly(den,s)
return (num/den)... | 23.761905 | 167 | 0.660655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 0.273881 |
708280686076f210ca6f326f21e8b919249cc576 | 5,439 | py | Python | chase/test.py | dave2328/chase | 9bca01b959ba65f526db993fd03a13eaba294941 | [
"MIT"
] | 3 | 2016-02-03T04:04:00.000Z | 2020-10-31T02:36:49.000Z | chase/test.py | tecoach/chase | 2b5a11cf70f295500f07207e26f26f4391902d08 | [
"MIT"
] | 1 | 2016-09-27T18:44:22.000Z | 2016-09-27T18:44:22.000Z | chase/test.py | tecoach/chase | 2b5a11cf70f295500f07207e26f26f4391902d08 | [
"MIT"
] | 5 | 2016-02-03T04:04:13.000Z | 2020-03-30T04:46:11.000Z | import os
import unittest
from chase import Profile, Order, Reversal
merchant_id = os.environ.get('TEST_ORBITAL_MERCHANT_ID')
username = os.environ.get('TEST_ORBITAL_USERNAME')
password = os.environ.get('TEST_ORBITAL_PASSWORD')
def new_profile():
profile = Profile(
merchant_id=merchant_id,
usernam... | 34.865385 | 69 | 0.636882 | 4,410 | 0.810811 | 0 | 0 | 0 | 0 | 0 | 0 | 1,337 | 0.245817 |
708413de75cff9f09c32fc7eec77271bf88e6168 | 2,698 | py | Python | model/decoder.py | kefirski/hybrid_rvae | 39133e656eeb05c998422e5ad9bfadc913c81b44 | [
"MIT"
] | 23 | 2017-10-24T01:30:07.000Z | 2021-11-15T04:14:02.000Z | model/decoder.py | analvikingur/hybrid_rvae | 39133e656eeb05c998422e5ad9bfadc913c81b44 | [
"MIT"
] | 1 | 2017-08-20T00:34:23.000Z | 2017-08-21T08:03:30.000Z | model/decoder.py | analvikingur/hybrid_rvae | 39133e656eeb05c998422e5ad9bfadc913c81b44 | [
"MIT"
] | 13 | 2017-08-22T15:35:00.000Z | 2021-11-19T01:24:33.000Z | import torch as t
import torch.nn as nn
import torch.nn.functional as F
class Decoder(nn.Module):
def __init__(self, vocab_size, latent_variable_size, rnn_size, rnn_num_layers, embed_size):
super(Decoder, self).__init__()
self.vocab_size = vocab_size
self.latent_variable_size = latent_var... | 34.589744 | 99 | 0.626019 | 2,623 | 0.972202 | 0 | 0 | 0 | 0 | 0 | 0 | 391 | 0.144922 |
7084359911956e6eb8fcc82cb7baa296e5280584 | 186 | py | Python | main/Models/Circle/Simulation/Circle.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | null | null | null | main/Models/Circle/Simulation/Circle.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | null | null | null | main/Models/Circle/Simulation/Circle.py | JulianoGianlupi/nh-cc3d-4x-base-tool | c0f4aceebd4c5bf3ec39e831ef851e419b161259 | [
"CC0-1.0"
] | 1 | 2021-02-26T21:50:29.000Z | 2021-02-26T21:50:29.000Z |
from cc3d import CompuCellSetup
from CircleSteppables import CircleSteppable
CompuCellSetup.register_steppable(steppable=CircleSteppable(frequency=1))
CompuCellSetup.run()
| 16.909091 | 73 | 0.817204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7084652e3d8514cf5a87012b67dbfa4aee0e8d9d | 15,329 | py | Python | web/olga/analytics/models.py | raccoongang/acceptor | fdc1504912b502c8d789d5478eba8cc1a491934b | [
"Apache-2.0"
] | 5 | 2017-10-20T05:52:59.000Z | 2020-02-25T10:46:33.000Z | web/olga/analytics/models.py | raccoongang/OLGA | fdc1504912b502c8d789d5478eba8cc1a491934b | [
"Apache-2.0"
] | 233 | 2017-08-14T10:56:16.000Z | 2021-04-07T01:09:17.000Z | web/olga/analytics/models.py | raccoongang/acceptor | fdc1504912b502c8d789d5478eba8cc1a491934b | [
"Apache-2.0"
] | 2 | 2018-03-16T22:22:57.000Z | 2018-06-15T20:02:56.000Z | """
Models for analytics application. Models used to store and operate all data received from the edx platform.
"""
from __future__ import division
from datetime import date, timedelta
import operator
import pycountry
from django.contrib.postgres.fields import JSONField
from django.db import models
from django.db.m... | 37.296837 | 116 | 0.659339 | 14,304 | 0.933133 | 0 | 0 | 12,059 | 0.786679 | 0 | 0 | 5,974 | 0.389719 |
708475a8fdb41ed7fcd4a6f028a2dcd0edaa89ad | 20,560 | py | Python | pypowervm/tests/tasks/test_cna.py | stephenfin/pypowervm | 68f2b586b4f17489f379534ab52fc56a524b6da5 | [
"Apache-2.0"
] | 24 | 2015-12-02T19:49:45.000Z | 2021-11-17T11:43:51.000Z | pypowervm/tests/tasks/test_cna.py | stephenfin/pypowervm | 68f2b586b4f17489f379534ab52fc56a524b6da5 | [
"Apache-2.0"
] | 18 | 2017-03-01T05:54:25.000Z | 2022-03-14T17:32:47.000Z | pypowervm/tests/tasks/test_cna.py | stephenfin/pypowervm | 68f2b586b4f17489f379534ab52fc56a524b6da5 | [
"Apache-2.0"
] | 17 | 2016-02-10T22:53:04.000Z | 2021-11-10T09:47:10.000Z | # Copyright 2015, 2017 IBM Corp.
#
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 45.286344 | 79 | 0.655302 | 19,436 | 0.945331 | 0 | 0 | 15,974 | 0.776946 | 0 | 0 | 5,370 | 0.261187 |
7084a93fe5b577c679276f294fe5764e40d39b1b | 390 | py | Python | src/dispatch/plugins/dispatch_test/participant_group.py | roor0/dispatch | 12c4f567096411abe62abaf61c7c124496764346 | [
"Apache-2.0"
] | 3,417 | 2020-02-23T22:54:47.000Z | 2022-03-31T13:01:01.000Z | src/dispatch/plugins/dispatch_test/participant_group.py | roor0/dispatch | 12c4f567096411abe62abaf61c7c124496764346 | [
"Apache-2.0"
] | 607 | 2020-02-24T14:27:02.000Z | 2022-03-30T19:15:39.000Z | src/dispatch/plugins/dispatch_test/participant_group.py | roor0/dispatch | 12c4f567096411abe62abaf61c7c124496764346 | [
"Apache-2.0"
] | 359 | 2020-02-24T19:04:43.000Z | 2022-03-29T06:48:12.000Z | from dispatch.plugins.bases import ParticipantGroupPlugin
class TestParticipantGroupPlugin(ParticipantGroupPlugin):
title = "Dispatch Test Plugin - Participant Group"
slug = "test-participant-group"
def create(self, participants, **kwargs):
return
def add(self, participant, **kwargs):
... | 24.375 | 57 | 0.702564 | 329 | 0.84359 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.169231 |
7084e27c49595c6dd313ddb9fd27d9cdb9c9e2f7 | 17,707 | py | Python | tools/stats_gen_lib.py | mtak-/lockfree-stm | 00cd5f9a056e999f0cd140106c1d66b321d6fd47 | [
"MIT"
] | 9 | 2016-11-14T23:35:30.000Z | 2019-01-18T23:21:08.000Z | tools/stats_gen_lib.py | mtak-/lockfree-stm | 00cd5f9a056e999f0cd140106c1d66b321d6fd47 | [
"MIT"
] | 3 | 2017-01-09T01:22:57.000Z | 2017-03-20T04:50:05.000Z | tools/stats_gen_lib.py | mtak-/lockfree-stm | 00cd5f9a056e999f0cd140106c1d66b321d6fd47 | [
"MIT"
] | null | null | null | #!/usr/bin/python
from string import Formatter
_STATS_TEMPLATE = '''#ifndef {INCLUDE_GUARD}
#define {INCLUDE_GUARD}
// clang-format off
#ifdef {MACRO_PREFIX}ON
{INCLUDES}
#include <iomanip>
#include <sstream>
#include <string>
#include <vector>
// comment out any stats you don't want, and thing... | 39.612975 | 142 | 0.550969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,549 | 0.313379 |
7084f8adc7a1f6ea7b5b0235bc00bc3a8d6d415b | 3,138 | py | Python | tests/template.py | NehaKeshan/nanomine-graph | d3ebd2415aad95d481bfbde12c279d6176af93ed | [
"MIT"
] | null | null | null | tests/template.py | NehaKeshan/nanomine-graph | d3ebd2415aad95d481bfbde12c279d6176af93ed | [
"MIT"
] | null | null | null | tests/template.py | NehaKeshan/nanomine-graph | d3ebd2415aad95d481bfbde12c279d6176af93ed | [
"MIT"
] | null | null | null | from . import ingest_tester
from whyis_test_case import WhyisTestCase
class IngestTestSetup(WhyisTestCase):
@classmethod
def setUpClass(cls):
print("Setting Up Class")
cls.maxDiff = None
cls.expected_data = ingest_tester.autoparse(cls.file_under_test)
def setUp(self):
inge... | 33.031579 | 73 | 0.688655 | 3,063 | 0.976099 | 0 | 0 | 171 | 0.054493 | 0 | 0 | 426 | 0.135755 |
708607f4e8ad0abd68f63300e62f77ebd76b2725 | 1,200 | py | Python | src/frame/mysql_conf_parser.py | f304646673/scheduler_frame | 0a9ba45a6523cbf9bd50e9fa8e08c8bfd2a9204a | [
"Apache-2.0"
] | 9 | 2017-05-14T05:12:32.000Z | 2022-01-13T08:11:07.000Z | src/frame/mysql_conf_parser.py | f304646673/scheduler_frame | 0a9ba45a6523cbf9bd50e9fa8e08c8bfd2a9204a | [
"Apache-2.0"
] | null | null | null | src/frame/mysql_conf_parser.py | f304646673/scheduler_frame | 0a9ba45a6523cbf9bd50e9fa8e08c8bfd2a9204a | [
"Apache-2.0"
] | 7 | 2017-08-28T08:31:43.000Z | 2020-03-03T07:18:37.000Z | import copy
import ConfigParser
import conf_keys
from loggingex import LOG_WARNING
class mysql_conf_parser:
def parse(self, job_conf_path):
cp = ConfigParser.SafeConfigParser()
cp.read(job_conf_path)
sections = cp.sections()
conns_info = {}
for section in sections:
... | 33.333333 | 77 | 0.564167 | 999 | 0.8325 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.064167 |
7086ab4940faf1fbffd4020ba41b2d8ad3df6cb7 | 596 | py | Python | n3-torch/ffi/python/n3/std/nn/conv/conv2d.py | kerryeon/n3-rs | e3c7325a89ec3eaffae356d2e4dcc4c63ba8caa1 | [
"MIT"
] | 1 | 2022-01-18T13:18:58.000Z | 2022-01-18T13:18:58.000Z | n3-torch/ffi/python/n3/std/nn/conv/conv2d.py | kerryeon/n3-rs | e3c7325a89ec3eaffae356d2e4dcc4c63ba8caa1 | [
"MIT"
] | null | null | null | n3-torch/ffi/python/n3/std/nn/conv/conv2d.py | kerryeon/n3-rs | e3c7325a89ec3eaffae356d2e4dcc4c63ba8caa1 | [
"MIT"
] | null | null | null | import torch.nn as nn
from n3 import ExternNode
class Conv2D(ExternNode):
kernel_size: int
padding: int
stride: int
input_channels: int
output_channels: int
bias: bool
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._inner = nn.Conv2d(
in_chan... | 19.866667 | 46 | 0.600671 | 544 | 0.912752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7086b67b426ff9f8307d4800efd294b1e2f817c3 | 6,482 | py | Python | auto-traveler.py | biomadeira/auto-traveler | 38f2c086923925d9819c07bdef297ec24f2ec58f | [
"Apache-2.0"
] | null | null | null | auto-traveler.py | biomadeira/auto-traveler | 38f2c086923925d9819c07bdef297ec24f2ec58f | [
"Apache-2.0"
] | null | null | null | auto-traveler.py | biomadeira/auto-traveler | 38f2c086923925d9819c07bdef297ec24f2ec58f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""
Copyright [2009-present] EMBL-European Bioinformatics Institute
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 requ... | 34.478723 | 142 | 0.67726 | 0 | 0 | 0 | 0 | 4,440 | 0.684974 | 0 | 0 | 2,182 | 0.336624 |
7087885e36c0266307dc1789a9c00444a7c21a73 | 49,994 | py | Python | tests/test_make_table.py | kellyjonbrazil/jtbl | 9bfc755bc964fbed59a4884bc4be605a5065f3d8 | [
"MIT"
] | 108 | 2020-03-10T13:22:03.000Z | 2022-03-30T03:09:38.000Z | tests/test_make_table.py | kellyjonbrazil/jtbl | 9bfc755bc964fbed59a4884bc4be605a5065f3d8 | [
"MIT"
] | 9 | 2020-03-08T00:44:38.000Z | 2022-02-15T19:36:04.000Z | tests/test_make_table.py | kellyjonbrazil/jtbl | 9bfc755bc964fbed59a4884bc4be605a5065f3d8 | [
"MIT"
] | 5 | 2020-03-10T11:34:18.000Z | 2021-08-02T10:57:43.000Z | import unittest
import textwrap
import jtbl.cli
class MyTests(unittest.TestCase):
def setUp(self):
self.SUCCESS, self.ERROR = True, False
def test_no_piped_data(self):
stdin = None
expected = textwrap.dedent('''\
jtbl: Missing piped data
''')
self.assertEqu... | 116.808411 | 864 | 0.173461 | 49,894 | 0.998 | 0 | 0 | 0 | 0 | 0 | 0 | 46,949 | 0.939093 |
7087b1595e41533f5047a1198773514a488662fd | 11,862 | py | Python | Autonomous Car Locator.py | thedrgman/Autonomous-Car-Locator | d21c72d1d110e9f959cfd4d59f454f9c4193f06d | [
"BSD-3-Clause"
] | null | null | null | Autonomous Car Locator.py | thedrgman/Autonomous-Car-Locator | d21c72d1d110e9f959cfd4d59f454f9c4193f06d | [
"BSD-3-Clause"
] | null | null | null | Autonomous Car Locator.py | thedrgman/Autonomous-Car-Locator | d21c72d1d110e9f959cfd4d59f454f9c4193f06d | [
"BSD-3-Clause"
] | null | null | null | """
Autonomous Car Locator
This is a program that helps autonomous cars to find out the location and direction
of other autonomous cars. It is all based on what is provided by the car and from what the car detects.
By David Gameiro
"""
import random
def locator():
cars = [
{
"speed" ... | 45.623077 | 121 | 0.42986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,793 | 0.404063 |
7087c1f44e1b42fefc6088af0233d3d5c9a7f47d | 460 | py | Python | jenkins-dashboard.py | jfm/jenkins-dashboard | 4dc4cf69f7f6be1f9cfd15b24509a96454c4de09 | [
"MIT"
] | null | null | null | jenkins-dashboard.py | jfm/jenkins-dashboard | 4dc4cf69f7f6be1f9cfd15b24509a96454c4de09 | [
"MIT"
] | 3 | 2021-03-18T20:10:45.000Z | 2021-09-07T23:37:52.000Z | jenkins-dashboard.py | jfm/jenkins-dashboard | 4dc4cf69f7f6be1f9cfd15b24509a96454c4de09 | [
"MIT"
] | null | null | null | from jenkinsdashboard.ci.jenkins import Jenkins
from jenkinsdashboard.ui.dashboard import Dashboard
import time
if __name__ == '__main__':
# jenkins = Jenkins('http://10.0.0.102:18081', 'jfm', 'c3po4all')
jenkins = Jenkins(
'http://jenkins.onboarding.liquid.int.tdk.dk', 'admin', '0nboarding')
das... | 28.75 | 77 | 0.678261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.302174 |
708a394ef1e0df69e0c499106dd15967d32aa202 | 2,001 | py | Python | tutorials/basics/g_app.py | nunoedgarhubsoftphotoflow/py-fmas | 241d942fe0cd6a49001b1bf110dd32bccc86bb16 | [
"MIT"
] | 4 | 2021-04-28T07:02:54.000Z | 2022-01-25T13:15:49.000Z | tutorials/basics/g_app.py | Photonics-Precision-Technologies/py-fmas | 241d942fe0cd6a49001b1bf110dd32bccc86bb16 | [
"MIT"
] | 3 | 2021-06-10T07:11:35.000Z | 2021-11-22T15:23:01.000Z | tutorials/basics/g_app.py | Photonics-Precision-Technologies/py-fmas | 241d942fe0cd6a49001b1bf110dd32bccc86bb16 | [
"MIT"
] | 5 | 2021-05-20T08:53:44.000Z | 2022-01-25T13:18:34.000Z | r"""
Using `fmas` as a black-box application
=======================================
This examples shows how to use `py-fmas` as a black-box application, that
only requires a minimal amount of scripting.
.. codeauthor:: Oliver Melchert <melchert@iqo.uni-hannover.de>
"""
#############################################... | 39.235294 | 79 | 0.594703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,733 | 0.866067 |
708b028c1ab718e2fb6ff3f78c3ef2f30aed6475 | 3,852 | py | Python | tests.py | CTPUG/mdx_attr_cols | 8aef79857685f9913c703befe717872d4e2d1bea | [
"0BSD"
] | null | null | null | tests.py | CTPUG/mdx_attr_cols | 8aef79857685f9913c703befe717872d4e2d1bea | [
"0BSD"
] | null | null | null | tests.py | CTPUG/mdx_attr_cols | 8aef79857685f9913c703befe717872d4e2d1bea | [
"0BSD"
] | null | null | null | from unittest import TestCase
import xmltodict
from markdown import Markdown
from markdown.util import etree
from mdx_attr_cols import AttrColTreeProcessor, AttrColExtension, makeExtension
class XmlTestCaseMixin(object):
def mk_doc(self, s):
return etree.fromstring(
"<div>" + s.strip() + "<... | 32.369748 | 79 | 0.616044 | 3,648 | 0.94704 | 0 | 0 | 0 | 0 | 0 | 0 | 837 | 0.21729 |
708b7c3f2101b8cf722c8c1af351e895b4c6a938 | 621 | py | Python | backend/tiles/migrations/0002_auto_20200526_0100.py | landdafku11/mobile-backend | 3f3328afd81f85f90170a57689af72f8f705b8a3 | [
"MIT"
] | null | null | null | backend/tiles/migrations/0002_auto_20200526_0100.py | landdafku11/mobile-backend | 3f3328afd81f85f90170a57689af72f8f705b8a3 | [
"MIT"
] | null | null | null | backend/tiles/migrations/0002_auto_20200526_0100.py | landdafku11/mobile-backend | 3f3328afd81f85f90170a57689af72f8f705b8a3 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-05-25 17:00
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('cubes', '0001_initial'),
('tiles', '0001_initial'),
]
operations = [
migrations.RemoveField(
... | 24.84 | 116 | 0.602254 | 495 | 0.797101 | 0 | 0 | 0 | 0 | 0 | 0 | 153 | 0.246377 |
708b92b1cb033572a615db2bbf33c6400d6fe304 | 720 | py | Python | Q47_Permutations-II.py | xiaosean/leetcode_python | 844ece02d699bfc620519bd94828ed0e18597f3e | [
"MIT"
] | null | null | null | Q47_Permutations-II.py | xiaosean/leetcode_python | 844ece02d699bfc620519bd94828ed0e18597f3e | [
"MIT"
] | null | null | null | Q47_Permutations-II.py | xiaosean/leetcode_python | 844ece02d699bfc620519bd94828ed0e18597f3e | [
"MIT"
] | null | null | null | class Solution:
def permuteUnique(self, nums: List[int]) -> List[List[int]]:
n = len(nums)
if n == 0:
return None
if n == 1:
return [nums]
nums.sort()
res = []
def dfs(nums, res, path=None):
if path is None:
... | 26.666667 | 66 | 0.370833 | 710 | 0.986111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
708c9cd7e0c47f6fd647b59adb4727ab13f448e2 | 1,764 | py | Python | dialogbot/search/local/tfidfmodel.py | ishine/dialogbot | 6c3d2f95555a05a3b935dda818e481ddc20eed08 | [
"Apache-2.0"
] | 68 | 2019-06-30T07:39:59.000Z | 2022-03-30T12:15:40.000Z | dialogbot/search/local/tfidfmodel.py | ishine/dialogbot | 6c3d2f95555a05a3b935dda818e481ddc20eed08 | [
"Apache-2.0"
] | 2 | 2021-06-30T10:22:17.000Z | 2021-07-27T12:41:01.000Z | dialogbot/search/local/tfidfmodel.py | ishine/dialogbot | 6c3d2f95555a05a3b935dda818e481ddc20eed08 | [
"Apache-2.0"
] | 16 | 2019-08-22T16:05:53.000Z | 2022-03-11T07:51:27.000Z | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import time
from gensim import corpora, models, similarities
from dialogbot.reader.data_helper import load_corpus_file
from dialogbot.utils.log import logger
class TfidfModel:
def __init__(self, corpus_file, word2id):
time_... | 33.923077 | 108 | 0.647392 | 1,520 | 0.861678 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.120181 |
7090b5633b08f50dcfd4327962f33bf944fbe670 | 237 | py | Python | LeetCode/lc0137-Single Number II.py | rahulbakshee/cp | 0299de012e5d09bb13636f4fdcc9481da1fbc54f | [
"MIT"
] | null | null | null | LeetCode/lc0137-Single Number II.py | rahulbakshee/cp | 0299de012e5d09bb13636f4fdcc9481da1fbc54f | [
"MIT"
] | null | null | null | LeetCode/lc0137-Single Number II.py | rahulbakshee/cp | 0299de012e5d09bb13636f4fdcc9481da1fbc54f | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/single-number-ii/
class Solution:
def singleNumber(self, nums: List[int]) -> int:
sum_nums = sum(nums)
sum_set = sum(set(nums)) * 3
return (sum_set - sum_nums) // 2
| 26.333333 | 51 | 0.586498 | 185 | 0.780591 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.206751 |
7091366072f1274a003619cb14cf65bebdc5b41f | 6,052 | py | Python | aslam_offline_calibration/kalibr/python/kalibr_evaluation_calibration.py | zhixy/multical | b5eeb6283f4ad68def4b62c10416a6764651e771 | [
"BSD-3-Clause"
] | 27 | 2021-03-26T12:03:48.000Z | 2022-03-29T02:16:56.000Z | aslam_offline_calibration/kalibr/python/kalibr_evaluation_calibration.py | zhixy/multical | b5eeb6283f4ad68def4b62c10416a6764651e771 | [
"BSD-3-Clause"
] | 2 | 2021-03-26T14:34:51.000Z | 2021-11-03T09:14:16.000Z | aslam_offline_calibration/kalibr/python/kalibr_evaluation_calibration.py | zhixy/multical | b5eeb6283f4ad68def4b62c10416a6764651e771 | [
"BSD-3-Clause"
] | 9 | 2021-08-23T11:25:29.000Z | 2022-03-28T13:22:39.000Z | #!/usr/bin/env python
import argparse
import kalibr_common as kc
from mpl_toolkits.mplot3d import art3d, Axes3D, proj3d
import numpy as np
import pylab as pl
import sm
import glob
def parse_arguments():
parser = argparse.ArgumentParser(
description='read calibration results from yaml and compare with grou... | 45.503759 | 119 | 0.666887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,169 | 0.193159 |
7092b52d42b2a6cc2e1c28dd93180668936123db | 3,251 | bzl | Python | antlir/vm/bzl/install_kernel_modules.bzl | zeroxoneb/antlir | 811d88965610d16a5c85d831d317f087797ca732 | [
"MIT"
] | 28 | 2020-08-11T16:22:46.000Z | 2022-03-04T15:41:52.000Z | antlir/vm/bzl/install_kernel_modules.bzl | zeroxoneb/antlir | 811d88965610d16a5c85d831d317f087797ca732 | [
"MIT"
] | 137 | 2020-08-11T16:07:49.000Z | 2022-02-27T10:59:05.000Z | antlir/vm/bzl/install_kernel_modules.bzl | zeroxoneb/antlir | 811d88965610d16a5c85d831d317f087797ca732 | [
"MIT"
] | 10 | 2020-09-10T00:01:28.000Z | 2022-03-08T18:00:28.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
load("@bazel_skylib//lib:paths.bzl", "paths")
load("//antlir/bzl:image.bzl", "image")
load("//antlir/bzl:oss_shim.bzl", "buck_genrule")
load("... | 38.702381 | 123 | 0.538296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,809 | 0.556444 |
709423185bdfdebb688bc7d5a18f61d78ced662c | 22 | py | Python | bifrost_min_read_check/__init__.py | ssi-dk/bifrost_min_read_check | 120951280c4ca7dab07c59d73e677b701e2a5cca | [
"MIT"
] | null | null | null | bifrost_min_read_check/__init__.py | ssi-dk/bifrost_min_read_check | 120951280c4ca7dab07c59d73e677b701e2a5cca | [
"MIT"
] | 1 | 2020-08-21T07:14:36.000Z | 2020-08-21T07:14:36.000Z | bifrost_min_read_check/__init__.py | ssi-dk/bifrost_min_read_check | 120951280c4ca7dab07c59d73e677b701e2a5cca | [
"MIT"
] | null | null | null | __version__ = 'v2_2_8' | 22 | 22 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.363636 |
70956e742f00e379dd33cde03763c0b2f6948b87 | 12,173 | py | Python | medis/Detector/get_photon_data.py | RupertDodkins/medis | bdb1f00fb93506da2a1f251bc6780e70e97a16c5 | [
"MIT"
] | 1 | 2021-06-25T17:35:56.000Z | 2021-06-25T17:35:56.000Z | medis/Detector/get_photon_data.py | RupertDodkins/medis | bdb1f00fb93506da2a1f251bc6780e70e97a16c5 | [
"MIT"
] | null | null | null | medis/Detector/get_photon_data.py | RupertDodkins/medis | bdb1f00fb93506da2a1f251bc6780e70e97a16c5 | [
"MIT"
] | 2 | 2018-12-08T15:05:13.000Z | 2019-08-08T17:28:24.000Z | """Top level code that takes a atmosphere phase map and propagates a wavefront through the system"""
import os
import numpy as np
import traceback
import multiprocessing
import glob
import random
import pickle as pickle
import time
from proper_mod import prop_run
from medis.Utils.plot_tools import quicklook_im, view_d... | 36.446108 | 147 | 0.594348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,453 | 0.283661 |
70974016c8294426ef58c0a0a53fcfaf197aee1a | 332 | py | Python | HW3/YaRa1312/Pleshyvtseva PythonCore HW 3.3.py | kolyasalubov/Lv-677.PythonCore | c9f9107c734a61e398154a90b8a3e249276c2704 | [
"MIT"
] | null | null | null | HW3/YaRa1312/Pleshyvtseva PythonCore HW 3.3.py | kolyasalubov/Lv-677.PythonCore | c9f9107c734a61e398154a90b8a3e249276c2704 | [
"MIT"
] | null | null | null | HW3/YaRa1312/Pleshyvtseva PythonCore HW 3.3.py | kolyasalubov/Lv-677.PythonCore | c9f9107c734a61e398154a90b8a3e249276c2704 | [
"MIT"
] | 6 | 2022-02-22T22:30:49.000Z | 2022-03-28T12:51:19.000Z | #3.3
user_ineteger_1 = int(input("Enter an integer: "))
user_integer_2 = int(input("Enter an other integer or the same as the first one: "))
def sameOrNot(user_ineteger_1, user_integer_2):
if (user_ineteger_1 ^ user_integer_2):
print("Not Same")
else:
print("Same")
sameOrNot(user_ineteger_1, use... | 36.888889 | 84 | 0.713855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.286145 |
709771a132f3b39704dc8a78fa50fd197c2b9aca | 144 | py | Python | tests/fixtures/regressors/__init__.py | XavierJingfeng/starter | 274566e491d5c7157f3c8deff136c56838022349 | [
"MIT"
] | null | null | null | tests/fixtures/regressors/__init__.py | XavierJingfeng/starter | 274566e491d5c7157f3c8deff136c56838022349 | [
"MIT"
] | null | null | null | tests/fixtures/regressors/__init__.py | XavierJingfeng/starter | 274566e491d5c7157f3c8deff136c56838022349 | [
"MIT"
] | null | null | null | from tests.fixtures.regressors.simple_gaussian_mlp_regressor import (
SimpleGaussianMLPRegressor)
__all__ = ['SimpleGaussianMLPRegressor']
| 28.8 | 69 | 0.840278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.194444 |
709b6bd1dc6310e9d17ea3ad5431e576cabcfddb | 10,286 | py | Python | src/utils/workflow_utils.py | cmikke97/AMSG | ddcfeb6262124e793fcee385405365417e57f91f | [
"Apache-2.0"
] | 3 | 2021-06-30T07:22:46.000Z | 2022-03-23T08:21:10.000Z | src/utils/workflow_utils.py | cmikke97/Automatic-Malware-Signature-Generation | ddcfeb6262124e793fcee385405365417e57f91f | [
"Apache-2.0"
] | null | null | null | src/utils/workflow_utils.py | cmikke97/Automatic-Malware-Signature-Generation | ddcfeb6262124e793fcee385405365417e57f91f | [
"Apache-2.0"
] | null | null | null | # Copyright 2021, Crepaldi Michele.
#
# Developed as a thesis project at the TORSEC research group of the Polytechnic of Turin (Italy) under the supervision
# of professor Antonio Lioy and engineer Andrea Atzeni and with the support of engineer Andrea Marcelli.
#
# Licensed under the Apache License, Version 2.0 (the "L... | 44.336207 | 118 | 0.66994 | 1,159 | 0.112677 | 0 | 0 | 0 | 0 | 0 | 0 | 6,235 | 0.606164 |
709bdbfb5b18720b7d117f1e6e1e246c7727a60a | 1,578 | py | Python | tests/test_data.py | joseph-nagel/torchutils | e13b5b156734dc1645e1d6c7b81738ca52904c92 | [
"MIT"
] | null | null | null | tests/test_data.py | joseph-nagel/torchutils | e13b5b156734dc1645e1d6c7b81738ca52904c92 | [
"MIT"
] | null | null | null | tests/test_data.py | joseph-nagel/torchutils | e13b5b156734dc1645e1d6c7b81738ca52904c92 | [
"MIT"
] | null | null | null | '''Tests for the data module.'''
import pytest
import numpy as np
import torch
from torch.utils.data import TensorDataset
from torchutils.data import mean_std_over_dataset, image2tensor, tensor2image
@pytest.mark.parametrize('no_samples', [100, 1000])
@pytest.mark.parametrize('feature_shape', [(), (1,), (10,), (10,10... | 38.487805 | 77 | 0.707858 | 0 | 0 | 0 | 0 | 1,370 | 0.868188 | 0 | 0 | 274 | 0.173638 |
709be0e39f954015ae500d50e9d8b5505b26abc0 | 8,593 | py | Python | src/model_execution_worker/tasks.py | OasisLMF/OasisPlatform_SQL | e3359d0bd3093e47bc46848c810b8876980d5cbc | [
"BSD-3-Clause"
] | 1 | 2020-02-27T13:25:22.000Z | 2020-02-27T13:25:22.000Z | src/model_execution_worker/tasks.py | OasisLMF/OasisPlatform_SQL | e3359d0bd3093e47bc46848c810b8876980d5cbc | [
"BSD-3-Clause"
] | 3 | 2019-11-14T10:26:46.000Z | 2021-03-25T22:33:52.000Z | src/model_execution_worker/tasks.py | OasisLMF/OasisPlatform_SQL | e3359d0bd3093e47bc46848c810b8876980d5cbc | [
"BSD-3-Clause"
] | 2 | 2019-03-21T09:22:12.000Z | 2019-05-24T15:13:51.000Z | from __future__ import absolute_import
import importlib
import logging
import uuid
from contextlib import contextmanager
import fasteners
import json
import os
import shutil
import tarfile
import glob
import sys
import time
from oasislmf.model_execution.bin import prepare_model_run_directory, prepare_model_run_input... | 39.237443 | 124 | 0.718375 | 585 | 0.068079 | 248 | 0.028861 | 6,145 | 0.715117 | 0 | 0 | 2,866 | 0.333527 |
709c91d65265a22a647756f08a9dbfdc545c3f18 | 1,088 | py | Python | complejidad_algoritmica.py | francomanca93/poo-algoritmos-python | 47bc0289cf1a91e2bee93f354bd39e1b592fa774 | [
"MIT"
] | null | null | null | complejidad_algoritmica.py | francomanca93/poo-algoritmos-python | 47bc0289cf1a91e2bee93f354bd39e1b592fa774 | [
"MIT"
] | null | null | null | complejidad_algoritmica.py | francomanca93/poo-algoritmos-python | 47bc0289cf1a91e2bee93f354bd39e1b592fa774 | [
"MIT"
] | null | null | null | import time
# Importo el modulo sys y aumento el limite de recursión, ya que viene predefinido con 1000
import sys
sys.setrecursionlimit(1000000) # 1 000 000
def factorial_iterativo(n):
respuesta = 1
while n > 1:
respuesta *= n
n -= 1
return respuesta
def factorial_recursivo(n):
... | 23.652174 | 91 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 342 | 0.31405 |
709f375eec3da89e1429343cd567396c10876145 | 765 | py | Python | wheel/notice/email_sender.py | kong5664546498/half_a_wheel | d50c2359ac7dda55f54dd08bb588091eb6232b81 | [
"MIT"
] | null | null | null | wheel/notice/email_sender.py | kong5664546498/half_a_wheel | d50c2359ac7dda55f54dd08bb588091eb6232b81 | [
"MIT"
] | null | null | null | wheel/notice/email_sender.py | kong5664546498/half_a_wheel | d50c2359ac7dda55f54dd08bb588091eb6232b81 | [
"MIT"
] | null | null | null | import smtplib
from email.header import Header
from email.mime.text import MIMEText
class EmailSender:
def __init__(self) -> None:
self.receiver = "kongandmarx@163.com"
self.sender = "kongandmarx@163.com"
self.smtp_obj = smtplib.SMTP_SSL("smtp.163.com", port=994)
# self.smtp_obj.co... | 34.772727 | 79 | 0.616993 | 679 | 0.887582 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.298039 |
70a04db5de55b9f9804753c3bf5f7a12c6fc7e92 | 6,590 | py | Python | src/config_common.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | src/config_common.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | src/config_common.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from biothings.www.settings.default import *
from www.api.query_builder import ESQueryBuilder
from www.api.query import ESQuery
from www.api.transform import ESResultTransformer
from www.api.handlers import GeneHandler, QueryHandler, MetadataHandler, StatusHandler, TaxonHandler, DemoHandler
# *... | 43.642384 | 136 | 0.57648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,683 | 0.558877 |
70a079756e35eca1c02df3f616492a74895b5e66 | 3,785 | py | Python | makepip/makepip.py | ao/makepip | 6552aa2161e69b63d0564c03b2f36a3f1cd90a34 | [
"MIT"
] | null | null | null | makepip/makepip.py | ao/makepip | 6552aa2161e69b63d0564c03b2f36a3f1cd90a34 | [
"MIT"
] | null | null | null | makepip/makepip.py | ao/makepip | 6552aa2161e69b63d0564c03b2f36a3f1cd90a34 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
from pathlib import Path
home = str(Path.home())
import datetime
now = datetime.datetime.now()
def main():
print("Please enter the following questions to generate your new Pip!")
name = input("Pip name: ")
description = input("Description: ")
author_name = input("Author name: "... | 27.035714 | 123 | 0.674769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,679 | 0.707794 |
70a18e0916fd434d417dcc6ca67ebfa9f0b09899 | 30 | py | Python | utils.py | andreaskleinl/capacity_transmissionline_simulation | 023358d03cce5a4c7768eee597d0d6381742e271 | [
"Apache-2.0"
] | null | null | null | utils.py | andreaskleinl/capacity_transmissionline_simulation | 023358d03cce5a4c7768eee597d0d6381742e271 | [
"Apache-2.0"
] | null | null | null | utils.py | andreaskleinl/capacity_transmissionline_simulation | 023358d03cce5a4c7768eee597d0d6381742e271 | [
"Apache-2.0"
] | null | null | null | def funny(x,y):
return x+y | 15 | 15 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70a1fd6852d7db5fa6fd60e6b794975a1360fc9b | 3,355 | py | Python | hangouts-chat.py | matallen/ninja-points | a2af9f358bc302f4638d1516055c687cffa546ab | [
"Apache-2.0"
] | 7 | 2018-11-27T10:13:48.000Z | 2022-01-22T07:33:28.000Z | hangouts-chat.py | matallen/ninja-points | a2af9f358bc302f4638d1516055c687cffa546ab | [
"Apache-2.0"
] | 29 | 2018-01-06T05:02:38.000Z | 2021-05-20T15:27:15.000Z | hangouts-chat.py | matallen/ninja-points | a2af9f358bc302f4638d1516055c687cffa546ab | [
"Apache-2.0"
] | 14 | 2017-12-09T14:58:53.000Z | 2022-01-24T15:56:01.000Z | #!/usr/bin/env python
from oauth2client.service_account import ServiceAccountCredentials
from os import path
import os, requests, sys, argparse
SERVICE_ACCOUNT_KEY_FILE_NAME='SERVICE_ACCOUNT_KEY_FILE'
HANGOUTS_CHATS_API='https://chat.googleapis.com/v1'
GOOGLE_CHAT_SCOPE='https://www.googleapis.com/auth/chat.bot'
SPAC... | 29.690265 | 120 | 0.708793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 672 | 0.200298 |
70a52b1be3075c53fa2ae1d2c049a7526d9ddb9b | 923 | py | Python | pyRoovit/pyRoovit.extension/pyRoovit.tab/Tools.Panel/Document.pulldown/Find.pushbutton/script.py | jmcouffin/pyRoovit | acafa74fb6310a1042c703d791b0d53804c1882a | [
"BSD-3-Clause"
] | 5 | 2022-03-14T01:58:34.000Z | 2022-03-21T19:51:09.000Z | pyRoovit/pyRoovit.extension/pyRoovit.tab/Tools.Panel/Document.pulldown/Find.pushbutton/script.py | jmcouffin/pyRoovit | acafa74fb6310a1042c703d791b0d53804c1882a | [
"BSD-3-Clause"
] | 1 | 2022-03-14T10:18:40.000Z | 2022-03-14T15:52:25.000Z | pyRoovit/pyRoovit.extension/pyRoovit.tab/Tools.Panel/Document.pulldown/Find.pushbutton/script.py | jmcouffin/pyRoovit | acafa74fb6310a1042c703d791b0d53804c1882a | [
"BSD-3-Clause"
] | 1 | 2022-03-14T10:15:22.000Z | 2022-03-14T10:15:22.000Z | # import libraries
import clr
import os
from os import listdir
import System
from System.IO import SearchOption
from System import Environment
# import pyrevit libraries
from pyrevit import forms
from pyrevit import revit,DB
# get document
doc = revit.doc
# try to open cache path
try:
curdoc = DB.Document.PathNam... | 31.827586 | 193 | 0.713976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 284 | 0.307692 |
70a65f53a022d6fe554e262dd2b61539aad6cfe3 | 15,323 | py | Python | ansible_collection/hpe/nimble/plugins/modules/hpe_nimble_network.py | datamattsson/nimble-ansible-modules | ba306153f98db093a9af47c99bdfce1381660880 | [
"Apache-2.0"
] | null | null | null | ansible_collection/hpe/nimble/plugins/modules/hpe_nimble_network.py | datamattsson/nimble-ansible-modules | ba306153f98db093a9af47c99bdfce1381660880 | [
"Apache-2.0"
] | null | null | null | ansible_collection/hpe/nimble/plugins/modules/hpe_nimble_network.py | datamattsson/nimble-ansible-modules | ba306153f98db093a9af47c99bdfce1381660880 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# # Copyright 2020 Hewlett Packard Enterprise Development LP
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this
# file except in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 34.825 | 149 | 0.601775 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,924 | 0.45187 |
70a965ab4266b455f06fc24f6cfc9727034185be | 1,428 | py | Python | crawler.py | YellowDong/taohua | b61778d0e49d885141756ca52b1e426f03e89218 | [
"MIT"
] | null | null | null | crawler.py | YellowDong/taohua | b61778d0e49d885141756ca52b1e426f03e89218 | [
"MIT"
] | null | null | null | crawler.py | YellowDong/taohua | b61778d0e49d885141756ca52b1e426f03e89218 | [
"MIT"
] | null | null | null | from requests_html import HTMLSession
import re
from .blog.models import (Article, Tag, Category)
class Spider:
def __init__(self):
self.sesion = HTMLSession()
def get_list(self):
url = 'http://python.jobbole.com/all-posts/'
resp = self.sesion.get(url)
if resp.status_code == 2... | 30.382979 | 96 | 0.556723 | 1,137 | 0.795661 | 0 | 0 | 0 | 0 | 0 | 0 | 323 | 0.226032 |
56061be80b560aeb56981297f4a7efbad2518c39 | 131 | py | Python | question_repo/apps/repo/signal/signals.py | Quizas007/question_repo | e377257137077b17ed039b06d3d6990d56d63743 | [
"Apache-2.0"
] | null | null | null | question_repo/apps/repo/signal/signals.py | Quizas007/question_repo | e377257137077b17ed039b06d3d6990d56d63743 | [
"Apache-2.0"
] | null | null | null | question_repo/apps/repo/signal/signals.py | Quizas007/question_repo | e377257137077b17ed039b06d3d6990d56d63743 | [
"Apache-2.0"
] | null | null | null | """
自定义信号
"""
import django.dispatch
mysignal = django.dispatch.Signal(providing_args=["arg1","arg2"])
# 内置的信号会自动触发，自定义信号不可以。
| 10.916667 | 65 | 0.709924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.535912 |
5607fbf70d32a16b417fbba1a89c53e34ec639fc | 4,674 | py | Python | ultrasync/create_sync_samples.py | aeshky/ultrasync | 0801bcb0312bba2eab07f12f9a68f3a431f5aaeb | [
"Apache-2.0"
] | 7 | 2019-07-29T20:00:25.000Z | 2021-06-22T21:21:50.000Z | ultrasync/create_sync_samples.py | aeshky/ultrasync | 0801bcb0312bba2eab07f12f9a68f3a431f5aaeb | [
"Apache-2.0"
] | 1 | 2019-10-01T14:25:33.000Z | 2019-10-28T15:19:52.000Z | ultrasync/create_sync_samples.py | aeshky/ultrasync | 0801bcb0312bba2eab07f12f9a68f3a431f5aaeb | [
"Apache-2.0"
] | null | null | null | """
Date: Jul 2018
Author: Aciel Eshky
A script to create positive and negative samples using self-supervision.
"""
import os
import sys
import random
import pandas as pd
from numpy.random import seed as np_seed
from ustools.folder_utils import get_utterance_id, get_dir_info
from ultrasync.create_sync_samples_uti... | 31.369128 | 111 | 0.632649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,554 | 0.332478 |
5608507a8fbe16afc4a2757ca530a21ae1157296 | 515 | py | Python | setup.py | kaynhelga9/64-bit-Ninja | ba3ffa69797a6f52103142515f0ee253e69e0d49 | [
"MIT"
] | 3 | 2019-02-11T14:40:29.000Z | 2019-04-21T21:59:11.000Z | setup.py | kaynhelga9/64-bit-Ninja | ba3ffa69797a6f52103142515f0ee253e69e0d49 | [
"MIT"
] | null | null | null | setup.py | kaynhelga9/64-bit-Ninja | ba3ffa69797a6f52103142515f0ee253e69e0d49 | [
"MIT"
] | null | null | null | import cx_Freeze
import os
os.environ['TCL_LIBRARY'] = r'C:\Users\Khanh Huynh\AppData\Local\Programs\Python\Python36\tcl\tcl8.6'
os.environ['TK_LIBRARY'] = r'C:\Users\Khanh Huynh\AppData\Local\Programs\Python\Python36\tcl\tk8.6'
executables = [cx_Freeze.Executable('game.py')]
cx_Freeze.setup(
name = '64... | 34.333333 | 102 | 0.669903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 273 | 0.530097 |
5609ed8bf29ac968a3c75282d2fbdfa0946a74d7 | 1,475 | py | Python | xiAnresturant/graph.py | wangteng200000318/-DataMiningMeiTuan | eb152a090c3025726bcb793484d4a88f2072b744 | [
"MIT"
] | 4 | 2020-11-23T04:50:41.000Z | 2021-03-12T06:19:59.000Z | xiAnresturant/graph.py | wangteng200000318/-DataMiningMeiTuan | eb152a090c3025726bcb793484d4a88f2072b744 | [
"MIT"
] | null | null | null | xiAnresturant/graph.py | wangteng200000318/-DataMiningMeiTuan | eb152a090c3025726bcb793484d4a88f2072b744 | [
"MIT"
] | null | null | null | from wordcloud import WordCloud
import jieba
import matplotlib.pyplot as plt
xiaozhai = ['佛伦萨·古典火炉披萨', '蘑菇爱上饭', '珍味林饺子馆', '巷子火锅', '千家粗粮王',
'猫堂小站猫咪主题馆', 'CoCo都可', '福气焖锅烤肉', '5号酒馆', '82°C魔力焖锅',
'小肥羊', '长安大牌档之长安集市', '泰熙家', '大自在火锅', '拉菲达牛排自助',
'猫咪餐厅', '京御煌三汁焖锅', '赵家腊汁肉', '米多多烘焙屋'... | 37.820513 | 69 | 0.589831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,055 | 0.511639 |
560adc09db2a2d64ed970d3656db7a5e1e25da54 | 4,055 | py | Python | api/server/routes/catchall.py | corentinthomasset/ibm-call-for-code-2021 | 2a3cbc7c9a5a21fd0caa9cbc0a57904bb2087872 | [
"Apache-2.0"
] | null | null | null | api/server/routes/catchall.py | corentinthomasset/ibm-call-for-code-2021 | 2a3cbc7c9a5a21fd0caa9cbc0a57904bb2087872 | [
"Apache-2.0"
] | null | null | null | api/server/routes/catchall.py | corentinthomasset/ibm-call-for-code-2021 | 2a3cbc7c9a5a21fd0caa9cbc0a57904bb2087872 | [
"Apache-2.0"
] | null | null | null |
import logging
import json
import warnings
import time
import datetime as dt
from ast import literal_eval as make_tuple
from flask import jsonify, abort, Response, request
from server import app, cln_client
from cloudant.error import CloudantException, ResultException
from cloudant.query import Query
import yfinanc... | 33.237705 | 109 | 0.568927 | 0 | 0 | 0 | 0 | 2,157 | 0.531936 | 0 | 0 | 610 | 0.150432 |
560b81c62a615cdb5ce98cccdf4071f843bedca3 | 315 | py | Python | setup.py | dkasak/pymodoro | fb17cb29f9473727d3607c14da59b12a9b63d02a | [
"MIT"
] | 2 | 2020-06-12T11:11:14.000Z | 2020-07-16T08:15:53.000Z | setup.py | dkasak/pymodoro | fb17cb29f9473727d3607c14da59b12a9b63d02a | [
"MIT"
] | null | null | null | setup.py | dkasak/pymodoro | fb17cb29f9473727d3607c14da59b12a9b63d02a | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name='pymodoro',
version='0.4',
packages=['pymodoro'],
package_data={'pymodoro': ['data/*']},
entry_points={
"console_scripts": [
"pymodoro = pymodoro.pymodoro:main",
"pymodoroi3 = pymodoro.pymodoroi3:main"
]
},
)
| 21 | 51 | 0.565079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.425397 |
560c68d1de24eff114517db2454d489387dbeb48 | 267 | py | Python | src/ralph/dns/apps.py | DoNnMyTh/ralph | 97b91639fa68965ad3fd9d0d2652a6545a2a5b72 | [
"Apache-2.0"
] | 1,668 | 2015-01-01T12:51:20.000Z | 2022-03-29T09:05:35.000Z | src/ralph/dns/apps.py | hq-git/ralph | e2448caf02d6e5abfd81da2cff92aefe0a534883 | [
"Apache-2.0"
] | 2,314 | 2015-01-02T13:26:26.000Z | 2022-03-29T04:06:03.000Z | src/ralph/dns/apps.py | hq-git/ralph | e2448caf02d6e5abfd81da2cff92aefe0a534883 | [
"Apache-2.0"
] | 534 | 2015-01-05T12:40:28.000Z | 2022-03-29T21:10:12.000Z | from django.conf import settings
from ralph.apps import RalphAppConfig
class DNS(RalphAppConfig):
name = 'ralph.dns'
def get_load_modules_when_ready(self):
if settings.ENABLE_HERMES_INTEGRATION:
return ['publishers']
return []
| 20.538462 | 46 | 0.696629 | 193 | 0.722846 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.086142 |
560d0ef05a9d538d23b9e00d5bb4bf708502cb92 | 1,132 | py | Python | RLTutorial/MDPValue.py | fyabc/MSRAPaperProject | 2d7974acfe8065523d0c56da695807e94acd0b34 | [
"MIT"
] | 1 | 2016-08-17T10:04:30.000Z | 2016-08-17T10:04:30.000Z | RLTutorial/MDPValue.py | fyabc/MSRAPaperProject | 2d7974acfe8065523d0c56da695807e94acd0b34 | [
"MIT"
] | null | null | null | RLTutorial/MDPValue.py | fyabc/MSRAPaperProject | 2d7974acfe8065523d0c56da695807e94acd0b34 | [
"MIT"
] | null | null | null | #! /usr/bin/python
# -*- encoding: utf-8 -*-
from __future__ import print_function, unicode_literals
from MDP import MDP
import version23
__author__ = 'fyabc'
# random.seed(0)
def getRandomPolicyValue():
values = [0.0 for _ in range(10)]
num = 1000000
echoEpoch = 10000
mdp = MDP()
for k in ra... | 21.769231 | 72 | 0.550353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.137809 |
560d4c8d48ed8fbb6b163e3376983982a59d0792 | 19,002 | py | Python | tests/test_component/test_task.py | andre-merzky/radical.entk | a63ad9158cf2f58d7bfff017f7da9cd5236429b5 | [
"MIT"
] | null | null | null | tests/test_component/test_task.py | andre-merzky/radical.entk | a63ad9158cf2f58d7bfff017f7da9cd5236429b5 | [
"MIT"
] | null | null | null | tests/test_component/test_task.py | andre-merzky/radical.entk | a63ad9158cf2f58d7bfff017f7da9cd5236429b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import glob
import shutil
import pytest
import hypothesis.strategies as st
from hypothesis import given, settings
from radical.entk import Task
from radical.entk import states
import radical.entk.exceptions as ree
# Hypothesis settings
settings.register_profile("travis", ma... | 41.041037 | 86 | 0.393801 | 0 | 0 | 0 | 0 | 4,169 | 0.219398 | 0 | 0 | 5,071 | 0.266867 |
560d83927ccbfa6f396f7f59b1122955d5914eea | 3,689 | py | Python | main.py | MNicaretta/picrosssolver | 2919049b6a2beebb47d883ddee7ba830bf809a59 | [
"MIT"
] | null | null | null | main.py | MNicaretta/picrosssolver | 2919049b6a2beebb47d883ddee7ba830bf809a59 | [
"MIT"
] | null | null | null | main.py | MNicaretta/picrosssolver | 2919049b6a2beebb47d883ddee7ba830bf809a59 | [
"MIT"
] | null | null | null | from enum import Enum
class CellState(Enum):
UNKNOWN = '.'
EMPTY = ' '
BOX = '■'
def __str__(self):
return self.value
class Cell():
def __init__(self, state=CellState.UNKNOWN):
self.state = state
def __str__(self):
return self.state
class Clue():
def __init__(sel... | 25.797203 | 100 | 0.500407 | 3,472 | 0.940666 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.009212 |
560df272ec26702a46aac33cc6e289b61e0a8412 | 3,055 | py | Python | legonet_pytorch/module.py | max-liulin/CV-Backbones | b32239d10126c8f84e6f6283b95b42b3b60b1a06 | [
"Apache-2.0"
] | 220 | 2019-11-27T03:02:14.000Z | 2020-02-26T14:08:41.000Z | legonet_pytorch/module.py | vickyqi7/CV-Backbones | 1262dacffdea62f9983ef0231177aea720e25f12 | [
"Apache-2.0"
] | 3 | 2019-12-10T15:00:57.000Z | 2020-02-02T12:02:47.000Z | legonet_pytorch/module.py | vickyqi7/CV-Backbones | 1262dacffdea62f9983ef0231177aea720e25f12 | [
"Apache-2.0"
] | 35 | 2019-11-28T05:21:50.000Z | 2020-02-26T13:46:11.000Z | '''
Copyright (C) 2016. Huawei Technologies Co., Ltd. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of the MIT license.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANT... | 50.081967 | 144 | 0.67365 | 2,511 | 0.821931 | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 0.13748 |
560eee76e44697ef904786e1db3a7b3facad82f0 | 488 | py | Python | backend/trucks/migrations/0005_auto_20201029_2137.py | NikogSamonic/Log_app | 197fb46b84d102942352d1a30d2a64680b18d943 | [
"MIT"
] | 11 | 2020-09-21T18:58:09.000Z | 2020-10-21T19:08:50.000Z | backend/trucks/migrations/0005_auto_20201029_2137.py | NikogSamonic/Log_app | 197fb46b84d102942352d1a30d2a64680b18d943 | [
"MIT"
] | 8 | 2020-09-22T02:59:26.000Z | 2020-10-31T07:28:59.000Z | backend/trucks/migrations/0005_auto_20201029_2137.py | NikogSamonic/Log_app | 197fb46b84d102942352d1a30d2a64680b18d943 | [
"MIT"
] | 21 | 2020-09-21T11:46:42.000Z | 2020-10-29T22:57:47.000Z | # Generated by Django 3.1.2 on 2020-10-29 20:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('trucks', '0004_auto_20201025_2222'),
]
operations = [
migrations.RemoveField(
model_name='car',
name='truck',
... | 21.217391 | 60 | 0.561475 | 395 | 0.809426 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.241803 |
560fa46d7efbe40812073452461efabc1cf83295 | 3,719 | py | Python | pychron/dvc/util.py | ASUPychron/pychron | dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76 | [
"Apache-2.0"
] | 31 | 2016-03-07T02:38:17.000Z | 2022-02-14T18:23:43.000Z | pychron/dvc/util.py | ASUPychron/pychron | dfe551bdeb4ff8b8ba5cdea0edab336025e8cc76 | [
"Apache-2.0"
] | 1,626 | 2015-01-07T04:52:35.000Z | 2022-03-25T19:15:59.000Z | pychron/dvc/util.py | UIllinoisHALPychron/pychron | f21b79f4592a9fb9dc9a4cb2e4e943a3885ededc | [
"Apache-2.0"
] | 26 | 2015-05-23T00:10:06.000Z | 2022-03-07T16:51:57.000Z | # ===============================================================================
# Copyright 2019 ross
#
# 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/LICE... | 32.33913 | 91 | 0.547728 | 2,773 | 0.745631 | 0 | 0 | 622 | 0.167249 | 0 | 0 | 1,516 | 0.407636 |
560fcacc1a61a2c757a12a88e6d3d993d2d1a1d4 | 3,214 | py | Python | processor/gen_record.py | Princeton-Penn-Vents/princeton-penn-flowmeter | 85a5ca8357ca34e0b543fa1489d48ecbc8023294 | [
"MIT"
] | 3 | 2020-04-14T10:45:12.000Z | 2022-01-06T16:40:30.000Z | processor/gen_record.py | Princeton-Penn-Vents/princeton-penn-flowmeter | 85a5ca8357ca34e0b543fa1489d48ecbc8023294 | [
"MIT"
] | 36 | 2020-04-05T16:23:33.000Z | 2020-10-02T02:58:21.000Z | processor/gen_record.py | Princeton-Penn-Vents/princeton-penn-flowmeter | 85a5ca8357ca34e0b543fa1489d48ecbc8023294 | [
"MIT"
] | 1 | 2020-04-05T13:18:47.000Z | 2020-04-05T13:18:47.000Z | from __future__ import annotations
from typing import Optional
from dataclasses import dataclass
from logging import Logger
from processor.device_names import address_to_name
@dataclass
class GenRecord:
logger: Logger
_mac: Optional[str] = None
_sid: int = 0
_name: Optional[str] = None
# Nurse ... | 26.561983 | 73 | 0.564717 | 3,024 | 0.940884 | 0 | 0 | 3,035 | 0.944306 | 0 | 0 | 951 | 0.295893 |
56115c228ac0c726ff0df0045669becb3ae31e8a | 22,024 | py | Python | inputs/transformers.py | aayushk614/DTI | f0338918144c0efbb79556ac8e81cbcefc70e22f | [
"MIT"
] | null | null | null | inputs/transformers.py | aayushk614/DTI | f0338918144c0efbb79556ac8e81cbcefc70e22f | [
"MIT"
] | null | null | null | inputs/transformers.py | aayushk614/DTI | f0338918144c0efbb79556ac8e81cbcefc70e22f | [
"MIT"
] | null | null | null | from __future__ import print_function
import math
import nibabel as nib
import nrrd
import numpy as np
import operator
import os
import random
import torch
import warnings
from functools import reduce
from inputs import Image, ImageType
CHANNEL, DEPTH, HEIGHT, WIDTH = 0, 1, 2, 3
class ToNDTensor(object):
"""
... | 37.265651 | 120 | 0.593444 | 21,698 | 0.985198 | 0 | 0 | 9,484 | 0.430621 | 0 | 0 | 4,919 | 0.223347 |
56116252a18b3ab533ede58656a33d7beedc09ce | 1,198 | py | Python | tests/test_image_xpress.py | jni/microscopium | b9cddd8ef5f3003a396ace602228651b3020c4a3 | [
"BSD-3-Clause"
] | 53 | 2016-08-30T09:45:12.000Z | 2022-02-03T06:22:50.000Z | tests/test_image_xpress.py | jni/microscopium | b9cddd8ef5f3003a396ace602228651b3020c4a3 | [
"BSD-3-Clause"
] | 151 | 2015-01-15T06:16:27.000Z | 2021-03-22T01:01:26.000Z | tests/test_image_xpress.py | jni/microscopium | b9cddd8ef5f3003a396ace602228651b3020c4a3 | [
"BSD-3-Clause"
] | 19 | 2015-01-15T06:13:26.000Z | 2021-09-13T13:06:47.000Z | from microscopium.screens import image_xpress
import collections as coll
def test_ix_semantic_filename():
test_fn = "./Week1_22123/G10_s2_w11C3B9BCC-E48F-4C2F-9D31-8F46D8B5B972.tif"
expected = coll.OrderedDict([('directory', './Week1_22123'),
('prefix', ''),
... | 39.933333 | 79 | 0.477462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 341 | 0.284641 |
561183bf158e6122876d8d2dc908ce0fd0c44f33 | 541 | py | Python | tests/test_gui/test_components/test_copy_button.py | ryan-lingle/node-launcher | 4f1f7087a28d76f5b8153adac548d09b0558f6d5 | [
"MIT"
] | 249 | 2019-02-01T17:17:09.000Z | 2022-03-18T21:26:41.000Z | tests/test_gui/test_components/test_copy_button.py | justinmichael3x/node-launcher | 5a2a646b01803fe284fa18bee99c13c7cbf04498 | [
"MIT"
] | 299 | 2019-02-02T02:01:02.000Z | 2022-02-21T05:13:20.000Z | tests/test_gui/test_components/test_copy_button.py | justinmichael3x/node-launcher | 5a2a646b01803fe284fa18bee99c13c7cbf04498 | [
"MIT"
] | 49 | 2019-02-11T14:46:40.000Z | 2022-02-20T04:05:14.000Z | import pytest
from PySide2.QtCore import Qt
from PySide2.QtGui import QClipboard
from PySide2.QtTest import QTest
from node_launcher.gui.components.copy_button import CopyButton
@pytest.fixture
def copy_button() -> CopyButton:
copy_button = CopyButton(button_text='Test Me', copy_text='copy_this')
return copy... | 28.473684 | 74 | 0.768946 | 210 | 0.38817 | 0 | 0 | 146 | 0.269871 | 0 | 0 | 31 | 0.057301 |
5611a9096513cba2a9a68bf3992b55379db65e5b | 3,581 | py | Python | examples/vertex_pipeline/pipelines/batch_prediction_pipeline_runner.py | marcosgm/professional-services | f332b425c2f3b6538ebf65afda7e67de3bed1b3d | [
"Apache-2.0"
] | 2,116 | 2017-05-18T19:33:05.000Z | 2022-03-31T13:34:48.000Z | examples/vertex_pipeline/pipelines/batch_prediction_pipeline_runner.py | hyuatpc/professional-services | e5c811a8752e91fdf9f959a0414931010b0ea1ba | [
"Apache-2.0"
] | 548 | 2017-05-20T05:05:35.000Z | 2022-03-28T16:38:12.000Z | examples/vertex_pipeline/pipelines/batch_prediction_pipeline_runner.py | hyuatpc/professional-services | e5c811a8752e91fdf9f959a0414931010b0ea1ba | [
"Apache-2.0"
] | 1,095 | 2017-05-19T00:02:36.000Z | 2022-03-31T05:21:39.000Z | # Copyright 2021 Google LLC. 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 applicable law or a... | 39.788889 | 78 | 0.726054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,576 | 0.440101 |
5612459fcdf8951d0bf375d61705d77efffeb9d8 | 1,642 | py | Python | examples/slash_commands.py | z03h/discord.py | 7e5831ba9cc3f881e11b3536159a3851fba6ab52 | [
"MIT"
] | 7 | 2021-09-12T02:31:57.000Z | 2022-02-20T21:15:35.000Z | examples/slash_commands.py | jay3332/discord.py | 953f067e3b5ee33f5be62ae614ac724afc289879 | [
"MIT"
] | 13 | 2021-11-04T00:32:25.000Z | 2022-03-02T03:03:54.000Z | examples/slash_commands.py | jay3332/discord.py | 953f067e3b5ee33f5be62ae614ac724afc289879 | [
"MIT"
] | null | null | null | import discord
from discord.application_commands import ApplicationCommand, ApplicationCommandTree, option
tree = ApplicationCommandTree(guild_id=1234) # Replace with your guild ID, or ``None`` to commands global
class Ping(ApplicationCommand, name='ping', tree=tree):
"""Pong!"""
async def callback(self, i... | 34.93617 | 117 | 0.690621 | 1,287 | 0.7838 | 0 | 0 | 0 | 0 | 649 | 0.39525 | 401 | 0.244214 |
5612e312b8ffbaa468da026af436acb1c1385add | 10,887 | py | Python | Examples/tk_simple_dialog.py | Aarif1430/Python-Awesome-notes-and-exercises-list | c8ad7f90ebd973025f37d4e79c2f1229a8a2915c | [
"MIT"
] | 2 | 2021-01-13T21:20:57.000Z | 2021-08-18T17:53:53.000Z | Examples/tk_simple_dialog.py | Aarif1430/Python-Awesome-notes-and-exercises-list | c8ad7f90ebd973025f37d4e79c2f1229a8a2915c | [
"MIT"
] | null | null | null | Examples/tk_simple_dialog.py | Aarif1430/Python-Awesome-notes-and-exercises-list | c8ad7f90ebd973025f37d4e79c2f1229a8a2915c | [
"MIT"
] | 1 | 2020-11-05T09:56:55.000Z | 2020-11-05T09:56:55.000Z | #!/usr/bin/env python
import Tkinter
import tkMessageBox
import rwkpickle, rwkos, os, glob
from Tkinter import StringVar, IntVar, DoubleVar
pklpath = rwkos.FindFullPath('pygimp_lecturerc.pkl')
class myWindow:
def close(self, *args, **kwargs):
#print('got close event')
self.mw.destroy()
... | 32.792169 | 117 | 0.524479 | 10,153 | 0.93258 | 0 | 0 | 0 | 0 | 0 | 0 | 2,544 | 0.233673 |
5613450d1a3d2afb56deff14d8b5138f01e852ba | 3,159 | py | Python | gqcnn/grasping/constraint_fn.py | richardliaw/gqcnn | a0930e9d2fef3c930c41dd91cde902d261348fbe | [
"CNRI-Python"
] | 1 | 2019-05-29T00:16:56.000Z | 2019-05-29T00:16:56.000Z | gqcnn/grasping/constraint_fn.py | richardliaw/gqcnn | a0930e9d2fef3c930c41dd91cde902d261348fbe | [
"CNRI-Python"
] | null | null | null | gqcnn/grasping/constraint_fn.py | richardliaw/gqcnn | a0930e9d2fef3c930c41dd91cde902d261348fbe | [
"CNRI-Python"
] | 4 | 2019-05-22T17:33:30.000Z | 2020-02-18T03:44:01.000Z | """
Constraint functions for grasp sampling
Author: Jeff Mahler
"""
from abc import ABCMeta, abstractmethod
import numpy as np
class GraspConstraintFn(object):
"""
Abstract constraint functions for grasp sampling.
"""
__metaclass__ = ABCMeta
def __init__(self, config):
# set params
... | 29.523364 | 91 | 0.598291 | 3,025 | 0.957582 | 0 | 0 | 691 | 0.21874 | 0 | 0 | 1,422 | 0.450142 |
5614247b9f08fee16422d09e7313f385f4710f7f | 1,198 | py | Python | backend/apis/family_group/models/memberships.py | sango09/senasoft | d7e5b0fae620764b3af73955f7771dcee5746dfc | [
"MIT"
] | 1 | 2020-10-17T03:39:56.000Z | 2020-10-17T03:39:56.000Z | backend/apis/family_group/models/memberships.py | sango09/senasoft | d7e5b0fae620764b3af73955f7771dcee5746dfc | [
"MIT"
] | null | null | null | backend/apis/family_group/models/memberships.py | sango09/senasoft | d7e5b0fae620764b3af73955f7771dcee5746dfc | [
"MIT"
] | null | null | null | """Modelo de pacientes"""
# Django
from django.db import models
# Utilidades
from apis.utils.models import ModelUtil
class Memberships(ModelUtil):
"""Modelo de pacientes
Un paciente puede tener un grupo familiar asociado,
si el paciente crea el grupo sera el titular de la familia,
los miembros del ... | 33.277778 | 90 | 0.724541 | 1,076 | 0.898164 | 0 | 0 | 0 | 0 | 0 | 0 | 551 | 0.459933 |
56149181b9ac3f4c3f13a262ec51ccae2f8c900c | 193 | py | Python | django_amenities/apps.py | okfde/django-amenities | a5522e33e27deb93a2ed49f89a6d9222fc146523 | [
"MIT"
] | 1 | 2020-09-17T12:27:04.000Z | 2020-09-17T12:27:04.000Z | django_amenities/apps.py | okfde/django-amenities | a5522e33e27deb93a2ed49f89a6d9222fc146523 | [
"MIT"
] | null | null | null | django_amenities/apps.py | okfde/django-amenities | a5522e33e27deb93a2ed49f89a6d9222fc146523 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class AmenitiesConfig(AppConfig):
name = 'django_amenities'
verbose_name = _("Amenities App")
| 24.125 | 54 | 0.777202 | 101 | 0.523316 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.170984 |
5614d2570169d56a1b186afec8d94e21051b1226 | 8,051 | py | Python | aiida/cmdline/commands/shell.py | astamminger/aiida_core | b01ad8236f21804f273c9d2a0365ecee62255cbb | [
"BSD-2-Clause"
] | null | null | null | aiida/cmdline/commands/shell.py | astamminger/aiida_core | b01ad8236f21804f273c9d2a0365ecee62255cbb | [
"BSD-2-Clause"
] | null | null | null | aiida/cmdline/commands/shell.py | astamminger/aiida_core | b01ad8236f21804f273c9d2a0365ecee62255cbb | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 36.931193 | 85 | 0.531859 | 6,475 | 0.804248 | 0 | 0 | 0 | 0 | 0 | 0 | 2,785 | 0.34592 |
56179b533974125c261d08cc31294d0f7cdd2f1f | 4,052 | py | Python | hw4/dynamics.py | tombroz/berkeley-cs294_homework | 5419b772c734093c750362d2e09b46ce59d79da6 | [
"MIT"
] | null | null | null | hw4/dynamics.py | tombroz/berkeley-cs294_homework | 5419b772c734093c750362d2e09b46ce59d79da6 | [
"MIT"
] | null | null | null | hw4/dynamics.py | tombroz/berkeley-cs294_homework | 5419b772c734093c750362d2e09b46ce59d79da6 | [
"MIT"
] | null | null | null | import os
import tensorflow as tf
import numpy as np
C = 1e-13
# Predefined function to build a feedforward neural network
def build_mlp(input_placeholder,
output_size,
scope,
n_layers=2,
size=500,
activation=tf.tanh,
output_activ... | 44.527473 | 235 | 0.633761 | 3,444 | 0.849951 | 0 | 0 | 0 | 0 | 0 | 0 | 658 | 0.162389 |
56192f9c7a8a841e4444c9e8024df8a56b978917 | 4,881 | py | Python | linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/Util/Introspector.py | mdavid/nuxleus | 653f1310d8bf08eaa5a7e3326c2349e56a6abdc2 | [
"BSD-3-Clause"
] | 1 | 2017-03-28T06:41:51.000Z | 2017-03-28T06:41:51.000Z | linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/Util/Introspector.py | mdavid/nuxleus | 653f1310d8bf08eaa5a7e3326c2349e56a6abdc2 | [
"BSD-3-Clause"
] | null | null | null | linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/Util/Introspector.py | mdavid/nuxleus | 653f1310d8bf08eaa5a7e3326c2349e56a6abdc2 | [
"BSD-3-Clause"
] | 1 | 2016-12-13T21:08:58.000Z | 2016-12-13T21:08:58.000Z | #!/usr/bin/env python
# Copyright (C) 2006 British Broadcasting Corporation and Kamaelia Contributors(1)
# All Rights Reserved.
#
# You may only modify and redistribute this under the terms of any of the
# following licenses(2): Mozilla Public License, V1.1, GNU General
# Public License, V2.0, GNU Lesser Ge... | 35.889706 | 93 | 0.69453 | 48 | 0.009834 | 0 | 0 | 0 | 0 | 0 | 0 | 4,388 | 0.898996 |
56196bbd9c6e856d4ee7624c88862a4b3d4c3852 | 1,017 | py | Python | app/Product/service.py | psyphore/flask-phone-book | cceec3caabdeb03f260d37f3b55d5aa7a52c30c2 | [
"MIT"
] | null | null | null | app/Product/service.py | psyphore/flask-phone-book | cceec3caabdeb03f260d37f3b55d5aa7a52c30c2 | [
"MIT"
] | 2 | 2021-03-19T03:39:56.000Z | 2021-06-08T20:28:03.000Z | app/Product/service.py | psyphore/flask-phone-book | cceec3caabdeb03f260d37f3b55d5aa7a52c30c2 | [
"MIT"
] | null | null | null | import maya
from py2neo.ogm import Node
from app.graph_context import GraphContext
from .cypher_queries import get_product_by_id_query
class ProductService():
'''
This Product Service houses all the actions can be performed against the product object
'''
def fetch(self, id):
'''Fetch a sing... | 28.25 | 91 | 0.610619 | 877 | 0.86234 | 0 | 0 | 0 | 0 | 0 | 0 | 294 | 0.289086 |
5619839185e18406d5f02290ccde9ac7b3a514d6 | 119 | py | Python | oimdp/__init__.py | OpenITI/oimdp | 9cb0dfb298b90d85f08e248633369c0c3c494c65 | [
"MIT"
] | 1 | 2022-02-21T11:55:39.000Z | 2022-02-21T11:55:39.000Z | oimdp/__init__.py | OpenITI/oimdp | 9cb0dfb298b90d85f08e248633369c0c3c494c65 | [
"MIT"
] | 7 | 2022-02-05T09:04:20.000Z | 2022-02-06T15:31:28.000Z | oimdp/__init__.py | OpenITI/oimdp | 9cb0dfb298b90d85f08e248633369c0c3c494c65 | [
"MIT"
] | 1 | 2021-07-09T06:23:26.000Z | 2021-07-09T06:23:26.000Z | from .parser import parser
def parse(text):
return parser(text)
__all__ = [
'parse'
]
__version__ = '1.1.0'
| 9.916667 | 26 | 0.638655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.117647 |
561cd253e6ea0665afa83c977dd5106cee35aeab | 2,041 | py | Python | adlib/tests/adversaries/feature_deletion_test.py | xyvivian/adlib | 79a93baa8aa542080bbf55734168eb89317df83c | [
"MIT"
] | null | null | null | adlib/tests/adversaries/feature_deletion_test.py | xyvivian/adlib | 79a93baa8aa542080bbf55734168eb89317df83c | [
"MIT"
] | null | null | null | adlib/tests/adversaries/feature_deletion_test.py | xyvivian/adlib | 79a93baa8aa542080bbf55734168eb89317df83c | [
"MIT"
] | null | null | null | import pytest
from adlib.adversaries.feature_deletion import AdversaryFeatureDeletion
from sklearn import svm
from adlib.learners import SimpleLearner
from data_reader.dataset import EmailDataset
from data_reader.operations import load_dataset
@pytest.fixture
def data():
dataset = EmailDataset(path='./data_reader... | 35.189655 | 92 | 0.748653 | 0 | 0 | 0 | 0 | 650 | 0.318471 | 0 | 0 | 270 | 0.132288 |
5620a3700cb215b8dbfe4bc707bf2609413ae823 | 1,225 | py | Python | cut_plist.py | labbbirder/cut-plist | 115394d23fbb58044cb421c9c2c220267e80bad5 | [
"MIT"
] | 1 | 2021-05-15T14:44:27.000Z | 2021-05-15T14:44:27.000Z | cut_plist.py | labbbirder/cut-plist | 115394d23fbb58044cb421c9c2c220267e80bad5 | [
"MIT"
] | null | null | null | cut_plist.py | labbbirder/cut-plist | 115394d23fbb58044cb421c9c2c220267e80bad5 | [
"MIT"
] | 1 | 2021-05-15T15:49:58.000Z | 2021-05-15T15:49:58.000Z | import plistlib
import os
import numpy as np
from PIL import Image
def read_plist(plist_path):
with open(plist_path, "rb") as fp:
return plistlib.load(fp)
def to_list(x):
return x.replace("{", "").replace("}", "").split(",")
def cut_plist(output, texture, save_dir):
if not os.path.exists(save_... | 28.488372 | 79 | 0.590204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.084082 |
56250bc919b313aa73d52cc5859b027f7a03d9eb | 18,160 | py | Python | aiida/scheduler/plugins/test_pbspro.py | BIGDATA2015-AIIDA-EXTENSION/query_engine | d1cfc7cfe6084854005d2376e3825310c66876b5 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | aiida/scheduler/plugins/test_pbspro.py | BIGDATA2015-AIIDA-EXTENSION/query_engine | d1cfc7cfe6084854005d2376e3825310c66876b5 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | aiida/scheduler/plugins/test_pbspro.py | BIGDATA2015-AIIDA-EXTENSION/query_engine | d1cfc7cfe6084854005d2376e3825310c66876b5 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from aiida.scheduler.plugins.pbspro import *
import unittest
#import logging
import uuid
text_qstat_f_to_test = """Job Id: 68350.mycluster
Job_Name = cell-Qnormal
Job_Owner = usernum1@mycluster.cluster
job_state = Q
queue = Q_express
server = mycluster
Checkpoint... | 40.626398 | 278 | 0.691244 | 3,402 | 0.187335 | 0 | 0 | 0 | 0 | 0 | 0 | 15,103 | 0.831663 |
5625a3407da98d220cca4d5d9645cc01df5da356 | 368 | py | Python | server/server/posts/migrations/0003_auto_20210727_1618.py | connectiveproject/connective | 8866082b2147feef0e5254ac4215987b9d881396 | [
"MIT"
] | 4 | 2021-07-05T10:49:26.000Z | 2021-11-24T11:34:43.000Z | server/server/posts/migrations/0003_auto_20210727_1618.py | connectiveproject/connective | 8866082b2147feef0e5254ac4215987b9d881396 | [
"MIT"
] | 39 | 2021-06-21T15:02:37.000Z | 2022-02-28T15:07:42.000Z | server/server/posts/migrations/0003_auto_20210727_1618.py | Eyal-VR/connective | 46857dd79dc58f63c3afb9791ecf8adf853a6c57 | [
"MIT"
] | 17 | 2021-06-16T08:59:45.000Z | 2021-09-29T11:35:38.000Z | # Generated by Django 3.1.11 on 2021-07-27 13:18
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('posts', '0002_auto_20210727_1319'),
]
operations = [
migrations.RenameField(
model_name='post',
old_name='creation_time',
... | 19.368421 | 48 | 0.589674 | 282 | 0.766304 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.298913 |
562632b9da3d75bd5559f771c9a43df116af2988 | 3,791 | py | Python | examples/lstm2.py | neosensory/tflite_micro_compiler | 2c21a364e9763e51706cf6f6b447ed908314e117 | [
"Apache-2.0"
] | 48 | 2020-05-10T13:33:02.000Z | 2022-03-24T06:47:50.000Z | examples/lstm2.py | neosensory/tflite_micro_compiler | 2c21a364e9763e51706cf6f6b447ed908314e117 | [
"Apache-2.0"
] | 49 | 2020-05-21T22:03:51.000Z | 2022-03-09T08:09:45.000Z | examples/lstm2.py | neosensory/tflite_micro_compiler | 2c21a364e9763e51706cf6f6b447ed908314e117 | [
"Apache-2.0"
] | 16 | 2020-05-10T12:59:20.000Z | 2022-03-09T06:04:22.000Z | #!/usr/bin/python3
import random
import math
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, LSTM
train_batches=2000
eval_batches=50
train_sequlen=32
train_inputs=1
lstm_states=6
#activation="relu"
activation=None
rec_activat... | 35.429907 | 214 | 0.724347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 611 | 0.161171 |
5626db7729bb19f378a1f3a643736beccf6c224a | 1,251 | py | Python | critiquebrainz/frontend/external/musicbrainz_db/includes.py | AbhinavOhri/critiquebrainz | d1c1c175209ec78bcced1dbfd5bd64a46be2d1f4 | [
"Apache-2.0"
] | null | null | null | critiquebrainz/frontend/external/musicbrainz_db/includes.py | AbhinavOhri/critiquebrainz | d1c1c175209ec78bcced1dbfd5bd64a46be2d1f4 | [
"Apache-2.0"
] | null | null | null | critiquebrainz/frontend/external/musicbrainz_db/includes.py | AbhinavOhri/critiquebrainz | d1c1c175209ec78bcced1dbfd5bd64a46be2d1f4 | [
"Apache-2.0"
] | null | null | null | import critiquebrainz.frontend.external.musicbrainz_db.exceptions as mb_exceptions
RELATABLE_TYPES = [
'area',
'artist',
'label',
'place',
'event',
'recording',
'release',
'release-group',
'series',
'url',
'work',
'instrument'
]
RELATION_INCLUDES = [entity + '-rels' for ... | 35.742857 | 117 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 484 | 0.38689 |
562700dc0c3f61321ee677178dd5d439d1213e59 | 801 | py | Python | djstripe/migrations/0007_auto_20200507_1913.py | bomba1990/dj-stripe | 507593c619145c30264d0e85b39bdba6f671a6d6 | [
"MIT"
] | null | null | null | djstripe/migrations/0007_auto_20200507_1913.py | bomba1990/dj-stripe | 507593c619145c30264d0e85b39bdba6f671a6d6 | [
"MIT"
] | null | null | null | djstripe/migrations/0007_auto_20200507_1913.py | bomba1990/dj-stripe | 507593c619145c30264d0e85b39bdba6f671a6d6 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.11 on 2020-05-07 19:13
from django.db import migrations, models
import djstripe.fields
class Migration(migrations.Migration):
dependencies = [
('djstripe', '0006_2_3'),
]
operations = [
migrations.AlterField(
model_name='plan',
name='amo... | 30.807692 | 185 | 0.635456 | 684 | 0.853933 | 0 | 0 | 0 | 0 | 0 | 0 | 219 | 0.273408 |
5627c77651ef6fd4e5b5393b20243c305bd397e3 | 5,511 | py | Python | Gradient Descent/Gradient_Descent_Housing.py | prasad-madhale/machine-learning | bb611f809c16e1425136052e215ca83bd1148652 | [
"MIT"
] | null | null | null | Gradient Descent/Gradient_Descent_Housing.py | prasad-madhale/machine-learning | bb611f809c16e1425136052e215ca83bd1148652 | [
"MIT"
] | null | null | null | Gradient Descent/Gradient_Descent_Housing.py | prasad-madhale/machine-learning | bb611f809c16e1425136052e215ca83bd1148652 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 1 01:07:37 2019
@author: prasad
"""
import numpy as np
import pandas as pd
import math
import matplotlib.pyplot as plt
def get_data(column_names):
'''
Args
column_names: names of the features in dataset
Returns
train_d... | 27.974619 | 113 | 0.633279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,507 | 0.454908 |
56282d4008935ca3506817cc4fc64ad64b685ddf | 2,833 | py | Python | teamspirit/preorders/views.py | etienne86/oc_p13_team_spirit | fd3d45618d349ecd0a03e63c4a7e9c1044eeffaa | [
"MIT"
] | null | null | null | teamspirit/preorders/views.py | etienne86/oc_p13_team_spirit | fd3d45618d349ecd0a03e63c4a7e9c1044eeffaa | [
"MIT"
] | null | null | null | teamspirit/preorders/views.py | etienne86/oc_p13_team_spirit | fd3d45618d349ecd0a03e63c4a7e9c1044eeffaa | [
"MIT"
] | null | null | null | from django.contrib.auth.decorators import login_required
from django.urls import reverse_lazy
from django.views.generic import ListView
from django.views.generic.edit import FormView
from teamspirit.catalogs.models import Product
from teamspirit.preorders.forms import AddToCartForm, DropFromCartForm
from teamspirit.p... | 31.831461 | 78 | 0.701024 | 2,138 | 0.754677 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.106248 |
562c8104d444901a4e792e4529b19010d3a451b2 | 40,079 | py | Python | tasks/prime.py | transcom/milmove_load_testing | b46526d9332c864de8891ef391394c0e9e8e7b95 | [
"MIT"
] | 2 | 2021-07-20T13:41:14.000Z | 2021-10-07T18:27:48.000Z | tasks/prime.py | transcom/milmove_load_testing | b46526d9332c864de8891ef391394c0e9e8e7b95 | [
"MIT"
] | 69 | 2020-07-08T21:05:58.000Z | 2022-03-31T11:35:14.000Z | tasks/prime.py | transcom/milmove_load_testing | b46526d9332c864de8891ef391394c0e9e8e7b95 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
""" TaskSets and tasks for the Prime & Support APIs """
import logging
import json
import random
from copy import deepcopy
from typing import Dict
from locust import tag, task, TaskSet
from utils.constants import (
INTERNAL_API_KEY,
TEST_PDF,
ZERO_UUID,
PRIME_API_KEY,
SUPPO... | 44.384275 | 120 | 0.637366 | 39,434 | 0.982436 | 0 | 0 | 31,437 | 0.783203 | 0 | 0 | 16,637 | 0.414485 |
562d12ab0b477e0d9a560f4a82cf032a9804cac0 | 848 | py | Python | BubbleSort.py | R-Magnotti/Python.Interesting_Sorting_Algortithms | e10f8105499ac2c90923def7c324c46acda920aa | [
"MIT"
] | null | null | null | BubbleSort.py | R-Magnotti/Python.Interesting_Sorting_Algortithms | e10f8105499ac2c90923def7c324c46acda920aa | [
"MIT"
] | null | null | null | BubbleSort.py | R-Magnotti/Python.Interesting_Sorting_Algortithms | e10f8105499ac2c90923def7c324c46acda920aa | [
"MIT"
] | null | null | null | #######################################################################################################################
# Author: Richie Magnotti
#
# Goal of code is to demonstrate sorting via bubble sort algorithm
################################################################... | 28.266667 | 119 | 0.325472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 414 | 0.488208 |
562ee8fc837ffcba58e8885e34e37a46643ca002 | 3,350 | py | Python | lib/cell.py | rafelafrance/boyd-bird-journal | 289744703220015cb61d22a8e6f8eff0040b296f | [
"MIT"
] | null | null | null | lib/cell.py | rafelafrance/boyd-bird-journal | 289744703220015cb61d22a8e6f8eff0040b296f | [
"MIT"
] | 5 | 2017-11-02T17:12:31.000Z | 2021-04-21T19:07:39.000Z | lib/cell.py | rafelafrance/boyd-bird-journal | 289744703220015cb61d22a8e6f8eff0040b296f | [
"MIT"
] | null | null | null | """Data and functions for dealing with cell contents."""
# pylint: disable=no-member, too-many-instance-attributes, too-many-arguments
import numpy as np
from skimage import util
from skimage.transform import probabilistic_hough_line
from lib.util import Crop, Offset, intersection
class Cell:
"""Data and func... | 37.222222 | 77 | 0.617015 | 3,061 | 0.913731 | 0 | 0 | 0 | 0 | 0 | 0 | 747 | 0.222985 |