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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dbde2669ec80772673d5f19711266d806c399444 | 7,303 | py | Python | biggan_discovery/orojar_discover.py | andreasjansson/OroJaR | ebb8c0333bbd33c063b6dd4a21a0559eb86d13e9 | [
"BSD-2-Clause"
] | 47 | 2021-07-26T07:54:06.000Z | 2022-02-07T16:37:40.000Z | biggan_discovery/orojar_discover.py | andreasjansson/OroJaR | ebb8c0333bbd33c063b6dd4a21a0559eb86d13e9 | [
"BSD-2-Clause"
] | 1 | 2021-09-14T07:26:15.000Z | 2021-09-14T07:45:59.000Z | biggan_discovery/orojar_discover.py | andreasjansson/OroJaR | ebb8c0333bbd33c063b6dd4a21a0559eb86d13e9 | [
"BSD-2-Clause"
] | 7 | 2021-08-21T07:33:35.000Z | 2022-03-16T23:21:29.000Z | """
Learns a matrix of Z-Space directions using a pre-trained BigGAN Generator.
Modified from train.py in the PyTorch BigGAN repo.
"""
import os
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.optim
import utils
import train_fns
from sync_batchnorm import patch_replication_callback
from torch.u... | 41.259887 | 113 | 0.633301 |
dbde5b0dbcab23e1ef72b1961f7810d2ab8cc002 | 6,452 | py | Python | file_importer0.py | Alva789ro/Regional-Comprehensive-Economic-Partnership-RCEP-Economic-Default-Risk-Analysis | 454583f47883edae17391f101b10b38b68c9834f | [
"MIT"
] | 1 | 2021-03-15T19:44:36.000Z | 2021-03-15T19:44:36.000Z | file_importer0.py | Alva789ro/Regional-Comprehensive-Economic-Partnership-RCEP-Economic-Default-Risk-Analysis | 454583f47883edae17391f101b10b38b68c9834f | [
"MIT"
] | null | null | null | file_importer0.py | Alva789ro/Regional-Comprehensive-Economic-Partnership-RCEP-Economic-Default-Risk-Analysis | 454583f47883edae17391f101b10b38b68c9834f | [
"MIT"
] | 1 | 2022-02-06T01:33:41.000Z | 2022-02-06T01:33:41.000Z | import xlsxwriter
import pandas as pd
import numpy as np
import mysql.connector
australia=pd.read_excel(r'\Users\jesica\Desktop\RCEP_economic_analysis.xlsx', sheet_name='Australia')
brunei=pd.read_excel(r'\Users\jesica\Desktop\RCEP_economic_analysis.xlsx', sheet_name='Brunei')
cambodia=pd.read_excel(r'\Users\jesica\De... | 72.494382 | 227 | 0.67359 |
dbde9d29ec27efc6184d1b64557b595e4c3e0755 | 6,837 | py | Python | packer/resources/bootstrap_node.py | VIOOH/nile | 893802387b3891ea02aae05f39ff4aa051354f18 | [
"Apache-2.0"
] | 4 | 2021-07-09T15:55:04.000Z | 2021-12-28T10:34:12.000Z | packer/resources/bootstrap_node.py | Kishore88/nile | 893802387b3891ea02aae05f39ff4aa051354f18 | [
"Apache-2.0"
] | null | null | null | packer/resources/bootstrap_node.py | Kishore88/nile | 893802387b3891ea02aae05f39ff4aa051354f18 | [
"Apache-2.0"
] | 3 | 2021-07-09T15:55:09.000Z | 2021-07-10T10:24:02.000Z | #!/usr/bin/env python3
import os
import re
import glob
import boto3
import requests
import subprocess
from time import sleep
AWS_REGION = os.environ['AWS_REGION']
DEPLOY_UUID = os.environ['DEPLOY_UUID']
SERVICE_NAME = os.environ['SERVICE_NAME']
MOUNT_POINT = "/var/lib/" + SERVICE_NAME... | 27.130952 | 111 | 0.584321 |
dbdf10789c79bc37376b7fcca6ae9a0b284ccf83 | 4,412 | py | Python | parsers/srum_parser.py | otoriocyber/Chronos | d70e22afed723c0ad4b7e449bd253e15351bada6 | [
"MIT"
] | 12 | 2021-04-20T23:08:28.000Z | 2022-02-18T01:23:42.000Z | parsers/srum_parser.py | otoriocyber/chronos | d70e22afed723c0ad4b7e449bd253e15351bada6 | [
"MIT"
] | null | null | null | parsers/srum_parser.py | otoriocyber/chronos | d70e22afed723c0ad4b7e449bd253e15351bada6 | [
"MIT"
] | null | null | null | import csv
import datetime
import random
import os
from parsers.parser_base import ParserBase
FILE_TIME_EPOCH = datetime.datetime(1601, 1, 1)
FILE_TIME_MICROSECOND = 10
| 45.020408 | 122 | 0.522439 |
dbdfe8bd7432ddafe572e5360642d04fff53f125 | 593 | py | Python | tests/csrf_tests/test_context_processor.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/csrf_tests/test_context_processor.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/csrf_tests/test_context_processor.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | from django.http import HttpRequest
from django.middleware.csrf import _compare_salted_tokens as equivalent_tokens
from django.template.context_processors import csrf
from django.test import SimpleTestCase
| 39.533333 | 88 | 0.768971 |
dbe03e42e9b3d1f6b76452c08db25467c63f6175 | 30,141 | py | Python | python/das/types.py | marza-animation-planet/das | 1c7460dfdd5f138d8317c72900e90b23c0c28c7b | [
"MIT"
] | 4 | 2018-11-19T01:36:01.000Z | 2022-02-28T03:41:12.000Z | python/das/types.py | marza-animation-planet/das | 1c7460dfdd5f138d8317c72900e90b23c0c28c7b | [
"MIT"
] | 1 | 2021-12-26T11:57:07.000Z | 2022-03-16T07:18:01.000Z | python/das/types.py | marza-animation-planet/das | 1c7460dfdd5f138d8317c72900e90b23c0c28c7b | [
"MIT"
] | 2 | 2019-03-30T10:28:12.000Z | 2022-03-04T17:58:39.000Z | import sys
import das
import traceback
def _wrap(self, rhs):
st = self._get_schema_type()
rv = self.__class__(rhs if st is None else st._validate_self(rhs))
rv._set_schema_type(self._get_schema_type())
return rv
def _adapt_value(self, value, key=None, index=None):
return das.ad... | 30.945585 | 146 | 0.563883 |
dbe088a01c052a1745bf75ba9a62254a5f03f63b | 4,829 | py | Python | track.py | AliabbasMerchant/fileTrackAndBackup | 8cdf97be58c69061e1f60c08f89b524d91f8c17d | [
"MIT"
] | 6 | 2018-08-11T12:00:11.000Z | 2021-06-15T09:11:34.000Z | track.py | AliabbasMerchant/fileTrackAndBackup | 8cdf97be58c69061e1f60c08f89b524d91f8c17d | [
"MIT"
] | null | null | null | track.py | AliabbasMerchant/fileTrackAndBackup | 8cdf97be58c69061e1f60c08f89b524d91f8c17d | [
"MIT"
] | null | null | null | #! /usr/bin/python3
from help import *
import time
# short-forms are used, so as to reduce the .json file size
# t : type - d or f
# d : directory
# f : file
# ts : timestamp
# dirs : The dictionary containing info about directory contents
# time : edit time of the file/folder
# s : size of the file/folder
# p : full ... | 40.923729 | 120 | 0.57631 |
dbe08be9b24ad6685aafe893f7f5de89e33519df | 31,693 | py | Python | clang/tools/scan-build-py/libscanbuild/analyze.py | Kvarnefalk/llvm-project | 8b5f5798aaa24074609d151ea906d114cf5337c2 | [
"Apache-2.0"
] | 1 | 2021-02-17T04:40:38.000Z | 2021-02-17T04:40:38.000Z | clang/tools/scan-build-py/libscanbuild/analyze.py | Kvarnefalk/llvm-project | 8b5f5798aaa24074609d151ea906d114cf5337c2 | [
"Apache-2.0"
] | null | null | null | clang/tools/scan-build-py/libscanbuild/analyze.py | Kvarnefalk/llvm-project | 8b5f5798aaa24074609d151ea906d114cf5337c2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
""" This module implements the 'scan-build' command API.
To run the static analyzer against a bui... | 39.175525 | 96 | 0.63686 |
dbe1408e84afa0a04966d9f60dcf8a3847bfc25f | 1,460 | py | Python | tableborder.py | PIRXrav/pyhack | af5c86fb721053d8a3e819ab772c8144a23b86bf | [
"MIT"
] | null | null | null | tableborder.py | PIRXrav/pyhack | af5c86fb721053d8a3e819ab772c8144a23b86bf | [
"MIT"
] | null | null | null | tableborder.py | PIRXrav/pyhack | af5c86fb721053d8a3e819ab772c8144a23b86bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# pylint: disable=C0103
# pylint: disable=R0902
# pylint: disable=R0903
# pylint: disable=R0913
"""
Dfinie la classe TableBorder
"""
BORDERS = [TableBorder('+', '+', '+',\
'+', '+', '+',\
'+', '+', '+',\
'-', '|'),
... | 30.416667 | 56 | 0.469863 |
dbe1aa3b9d736d93221a08965b3b705efeef3804 | 216 | py | Python | app/urls.py | tkf2019/Vue-Django-SAST-Search | 385af9819c608ce2d0845ed3e786777ff52b52b3 | [
"MIT"
] | null | null | null | app/urls.py | tkf2019/Vue-Django-SAST-Search | 385af9819c608ce2d0845ed3e786777ff52b52b3 | [
"MIT"
] | null | null | null | app/urls.py | tkf2019/Vue-Django-SAST-Search | 385af9819c608ce2d0845ed3e786777ff52b52b3 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^register/', views.register),
url(r'^login/', views.login),
url(r'logout/', views.logout),
url(r'search/', views.search)
]
| 19.636364 | 39 | 0.643519 |
dbe1d984552acfc78008a25befd61632a445f85d | 28,508 | py | Python | custom_components/hasl/sensor.py | Ziqqo/hasl-platform | 27386314bf58626538d59c38d89249b07ed9256a | [
"Apache-2.0"
] | null | null | null | custom_components/hasl/sensor.py | Ziqqo/hasl-platform | 27386314bf58626538d59c38d89249b07ed9256a | [
"Apache-2.0"
] | null | null | null | custom_components/hasl/sensor.py | Ziqqo/hasl-platform | 27386314bf58626538d59c38d89249b07ed9256a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Simple service for SL (Storstockholms Lokaltrafik)."""
import datetime
import json
import logging
from datetime import timedelta
import homeassistant.helpers.config_validation as cv
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from ho... | 35.369727 | 79 | 0.542058 |
dbe25f137db8fdda41fdc3006d42e7f6d84f1a1d | 2,067 | py | Python | simbad_tools.py | ishivvers/astro | ff3f3b9f8ef4013157c277bbb5bf82ac1bd3287d | [
"MIT"
] | 1 | 2015-12-06T00:19:35.000Z | 2015-12-06T00:19:35.000Z | simbad_tools.py | ishivvers/astro | ff3f3b9f8ef4013157c277bbb5bf82ac1bd3287d | [
"MIT"
] | null | null | null | simbad_tools.py | ishivvers/astro | ff3f3b9f8ef4013157c277bbb5bf82ac1bd3287d | [
"MIT"
] | null | null | null | """
A quick library to deal with searching simbad for info
about a SN and parsing the results.
Author: Isaac Shivvers, ishivvers@berkeley.edu, 2014
example SIMBAD uri query:
http://simbad.u-strasbg.fr/simbad/sim-id?output.format=ASCII&Ident=sn%201998S
"""
import re
from urllib2 import urlopen
def get_SN_info( nam... | 32.296875 | 88 | 0.610063 |
dbe3699b610c3c766074b1340770c91698f9123b | 15,647 | py | Python | robots/environments.py | StanfordASL/soft-robot-control | 29ade9b7b952e25e639b42767a4f09c87a0e824a | [
"MIT"
] | 5 | 2021-03-07T11:42:11.000Z | 2022-02-28T09:46:05.000Z | robots/environments.py | StanfordASL/soft-robot-control | 29ade9b7b952e25e639b42767a4f09c87a0e824a | [
"MIT"
] | null | null | null | robots/environments.py | StanfordASL/soft-robot-control | 29ade9b7b952e25e639b42767a4f09c87a0e824a | [
"MIT"
] | 3 | 2021-01-23T11:09:40.000Z | 2022-03-02T11:54:57.000Z | import os
from math import cos
from math import sin
import Sofa.Core
from splib.numerics import Quat, Vec3
from sofacontrol import measurement_models
path = os.path.dirname(os.path.abspath(__file__))
| 49.83121 | 148 | 0.547964 |
dbe3e139f969d2b0c02202b763923425574d8d2e | 2,764 | py | Python | default.py | SimonPreissner/get-shifty | aff49220932921c77e419a34ca472b51e0b26b72 | [
"MIT"
] | null | null | null | default.py | SimonPreissner/get-shifty | aff49220932921c77e419a34ca472b51e0b26b72 | [
"MIT"
] | null | null | null | default.py | SimonPreissner/get-shifty | aff49220932921c77e419a34ca472b51e0b26b72 | [
"MIT"
] | null | null | null | """
This file contains meta information and default configurations of the project
"""
RSC_YEARS = [1660, 1670, 1680, 1690,
1700, 1710, 1720, 1730, 1740, 1750, 1760, 1770, 1780, 1790,
1800, 1810, 1820, 1830, 1840, 1850, 1860, 1870, 1880, 1890,
1900, 1910, 1920]
# cf. Chapter 4.... | 52.150943 | 119 | 0.458032 |
dbe3f5f2703d36ffae51f8561d55eb622bc98049 | 21,019 | py | Python | generate_training_data_drb.py | SimonTopp/Graph-WaveNet | ef63a80cc397744667a5d27f7c410c10e3e03a4c | [
"MIT"
] | null | null | null | generate_training_data_drb.py | SimonTopp/Graph-WaveNet | ef63a80cc397744667a5d27f7c410c10e3e03a4c | [
"MIT"
] | null | null | null | generate_training_data_drb.py | SimonTopp/Graph-WaveNet | ef63a80cc397744667a5d27f7c410c10e3e03a4c | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import numpy as np
import os
import pandas as pd
import util
import os.path
import pandas as pd
import numpy as np
import yaml
import xa... | 39.658491 | 120 | 0.63709 |
dbe414ec11ed223b8f3b005ec5b7199d7a73066f | 3,737 | py | Python | Phase-1/Python Basic 1/Day-3.py | CodedLadiesInnovateTech/python-challenges | 22ce26c68fea6c7c243ada831e47c52e27a62127 | [
"MIT"
] | 11 | 2020-05-11T08:41:21.000Z | 2022-02-27T08:21:37.000Z | Phase-1/Python Basic 1/Day-3.py | CodedLadiesInnovateTech/python-challenges | 22ce26c68fea6c7c243ada831e47c52e27a62127 | [
"MIT"
] | 9 | 2020-05-12T10:46:06.000Z | 2020-05-28T17:37:19.000Z | Phase-1/Python Basic 1/Day-3.py | CodedLadiesInnovateTech/python-challenges | 22ce26c68fea6c7c243ada831e47c52e27a62127 | [
"MIT"
] | 44 | 2020-05-10T20:53:32.000Z | 2021-04-25T18:47:08.000Z | <<<<<<< HEAD
"""
1. Write a Python program to print the documents (syntax, description etc.) of Python built-in function(s).
Sample function : abs()
Expected Result :
abs(number) -> number
Return the absolute value of the argument.
Tools: help function
2. Write a Python program to p... | 35.932692 | 185 | 0.690393 |
dbe44f6e05680f0d1dad7aaee47f96f07f3de643 | 2,128 | py | Python | tests/python/metaclass_inheritance.py | gmgunter/pyre | e9ff3f8c04661f8b2cd2ba0caded08b6fe8054e2 | [
"BSD-3-Clause"
] | 25 | 2018-04-23T01:45:39.000Z | 2021-12-10T06:01:23.000Z | tests/python/metaclass_inheritance.py | gmgunter/pyre | e9ff3f8c04661f8b2cd2ba0caded08b6fe8054e2 | [
"BSD-3-Clause"
] | 53 | 2018-05-31T04:55:00.000Z | 2021-10-07T21:41:32.000Z | tests/python/metaclass_inheritance.py | gmgunter/pyre | e9ff3f8c04661f8b2cd2ba0caded08b6fe8054e2 | [
"BSD-3-Clause"
] | 12 | 2018-04-23T22:50:40.000Z | 2022-02-20T17:27:23.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# michael a.g. avzis
# orthologue
# (c) 1998-2021 all rights reserved
#
#
"""
When a metaclass understands the extra keywords that can be passed during class declaration,
it has to override all these to accommodate the change in signature
"""
def test():
b = b... | 25.035294 | 92 | 0.56156 |
dbe6b1bbfa7c8868231f9a2e70cb8975c45626ee | 434 | py | Python | cs101/module8/8-1/chroma1.py | idsdlab/basicai_sp21 | af9acba34c0417fed830de1b61753c50fd303169 | [
"MIT"
] | 1 | 2021-03-23T16:18:00.000Z | 2021-03-23T16:18:00.000Z | cs101/module8/8-1/chroma1.py | idsdlab/basicai_sp21 | af9acba34c0417fed830de1b61753c50fd303169 | [
"MIT"
] | null | null | null | cs101/module8/8-1/chroma1.py | idsdlab/basicai_sp21 | af9acba34c0417fed830de1b61753c50fd303169 | [
"MIT"
] | null | null | null |
from cs1media import *
import math
statue = load_picture("photos/statue1.jpg")
chroma(statue, (41, 75, 146), 70)
statue.show()
| 20.666667 | 56 | 0.582949 |
dbe72fbf88b8bf3f7bd1a038ff09959ccc113054 | 3,433 | py | Python | wfirst_stars/mklc.py | RuthAngus/wfirst_stars | 60989fc56488ac915082e76c3088c6133909985b | [
"MIT"
] | null | null | null | wfirst_stars/mklc.py | RuthAngus/wfirst_stars | 60989fc56488ac915082e76c3088c6133909985b | [
"MIT"
] | null | null | null | wfirst_stars/mklc.py | RuthAngus/wfirst_stars | 60989fc56488ac915082e76c3088c6133909985b | [
"MIT"
] | null | null | null | import numpy as np
import scipy
import scipy.io
import pylab
import numpy
import glob
import pyfits
| 31.787037 | 82 | 0.605884 |
dbe7a0b13a437a6e05e68098ff2efe008a915ee9 | 862 | py | Python | bin/sort.py | pelavarre/pybashish | 03f74356fb0a2a0ef7106f09c059fd9b375ce89a | [
"CNRI-Python"
] | 4 | 2020-07-10T20:16:13.000Z | 2022-02-16T02:11:20.000Z | bin/sort.py | pelavarre/pybashish | 03f74356fb0a2a0ef7106f09c059fd9b375ce89a | [
"CNRI-Python"
] | null | null | null | bin/sort.py | pelavarre/pybashish | 03f74356fb0a2a0ef7106f09c059fd9b375ce89a | [
"CNRI-Python"
] | 2 | 2020-06-24T20:37:36.000Z | 2020-07-10T20:16:17.000Z | #!/usr/bin/env python3
"""
usage: sort.py [-h]
sort lines
options:
-h, --help show this help message and exit
quirks:
sorts tabs as different than spaces
sorts some spaces ending a line as different than none ending a line
examples:
Oh no! No examples disclosed!!
"""
# FIXME: doc -k$N,$N and -n and may... | 21.02439 | 70 | 0.678654 |
dbe8f2379002738c1c16e7f2d3cd857e1c75e38f | 10,561 | py | Python | davan/http/service/telldus/tdtool.py | davandev/davanserver | 0be914268c8e34d4092251508bae213cff3ef621 | [
"MIT"
] | null | null | null | davan/http/service/telldus/tdtool.py | davandev/davanserver | 0be914268c8e34d4092251508bae213cff3ef621 | [
"MIT"
] | null | null | null | davan/http/service/telldus/tdtool.py | davandev/davanserver | 0be914268c8e34d4092251508bae213cff3ef621 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys, getopt, httplib, urllib, json, os
import oauth.oauth as oauth
import datetime
from configobj import ConfigObj
import logging
global logger
logger = logging.getLogger(os.path.basename(__file__))
import davan.util.application_logger as log_manager
#insert your ... | 35.921769 | 170 | 0.670675 |
dbe91e2d448902d1659cd842f7d5834596d34306 | 16,286 | py | Python | ichnaea/data/export.py | rajreet/ichnaea | 7bd2eaa9568f9004e566b802623299625c29f5ae | [
"Apache-2.0"
] | 348 | 2015-01-13T11:48:07.000Z | 2022-03-31T08:33:07.000Z | ichnaea/data/export.py | rajreet/ichnaea | 7bd2eaa9568f9004e566b802623299625c29f5ae | [
"Apache-2.0"
] | 1,274 | 2015-01-02T18:15:56.000Z | 2022-03-23T15:29:08.000Z | ichnaea/data/export.py | rajreet/ichnaea | 7bd2eaa9568f9004e566b802623299625c29f5ae | [
"Apache-2.0"
] | 149 | 2015-01-04T21:15:07.000Z | 2021-12-10T06:05:09.000Z | from collections import defaultdict
import json
import re
import time
from urllib.parse import urlparse
import uuid
import boto3
import boto3.exceptions
import botocore.exceptions
import markus
import redis.exceptions
import requests
import requests.exceptions
from sqlalchemy import select
import sqlalchemy.exc
from ... | 31.933333 | 86 | 0.560666 |
dbe92a131f4e410b11bc7e2f634cf6f5bfadbd7f | 6,636 | py | Python | test/inference_correctness/dcn_multi_hot.py | x-y-z/HugeCTR | 17bf942215df60827ece9dc015af5191ef9219b7 | [
"Apache-2.0"
] | 130 | 2021-10-11T11:55:28.000Z | 2022-03-31T21:53:07.000Z | test/inference_correctness/dcn_multi_hot.py | Teora/HugeCTR | c55a63401ad350669ccfcd374aefd7a5fc879ca2 | [
"Apache-2.0"
] | 72 | 2021-10-09T04:59:09.000Z | 2022-03-31T11:27:54.000Z | test/inference_correctness/dcn_multi_hot.py | Teora/HugeCTR | c55a63401ad350669ccfcd374aefd7a5fc879ca2 | [
"Apache-2.0"
] | 29 | 2021-11-03T22:35:01.000Z | 2022-03-30T13:11:59.000Z | import hugectr
from mpi4py import MPI
solver = hugectr.CreateSolver(model_name = "dcn",
max_eval_batches = 1,
batchsize_eval = 16384,
batchsize = 16384,
lr = 0.001,
vvgpu... | 56.717949 | 117 | 0.517179 |
dbeaa0d47dcb9a56338a2f94ede14d6545fab66f | 4,437 | py | Python | bindings/pydrake/systems/perception.py | RobotLocomotion/drake-python3.7 | ae397a4c6985262d23e9675b9bf3927c08d027f5 | [
"BSD-3-Clause"
] | 2 | 2021-02-25T02:01:02.000Z | 2021-03-17T04:52:04.000Z | bindings/pydrake/systems/perception.py | RobotLocomotion/drake-python3.7 | ae397a4c6985262d23e9675b9bf3927c08d027f5 | [
"BSD-3-Clause"
] | null | null | null | bindings/pydrake/systems/perception.py | RobotLocomotion/drake-python3.7 | ae397a4c6985262d23e9675b9bf3927c08d027f5 | [
"BSD-3-Clause"
] | 1 | 2021-06-13T12:05:39.000Z | 2021-06-13T12:05:39.000Z | import numpy as np
from pydrake.common.value import AbstractValue
from pydrake.math import RigidTransform
from pydrake.perception import BaseField, Fields, PointCloud
from pydrake.systems.framework import LeafSystem
| 34.664063 | 79 | 0.626549 |
dbeb68c7ee7ea08f9d92285ea9d761b3aba02878 | 5,115 | py | Python | experiments/db_test.py | mit-ll/CATAN | 7cc6f7e8af459c0f6bcf325f0754db1ba5b591ac | [
"BSD-3-Clause"
] | 15 | 2015-06-05T20:13:40.000Z | 2020-12-24T05:16:57.000Z | experiments/db_test.py | mit-ll/CATAN | 7cc6f7e8af459c0f6bcf325f0754db1ba5b591ac | [
"BSD-3-Clause"
] | 10 | 2016-03-04T23:05:56.000Z | 2016-05-18T18:14:13.000Z | experiments/db_test.py | mit-ll/CATAN | 7cc6f7e8af459c0f6bcf325f0754db1ba5b591ac | [
"BSD-3-Clause"
] | 6 | 2015-10-15T19:23:58.000Z | 2021-06-29T07:36:16.000Z | #!/usr/bin/env python
"""
@author Hongyi Hu
2015 Massachusetts Institute of Technology
"""
import argparse
import random
import catan.db
from catan.data import NodeMessage
# test data
STATUS_LIST = ['ok', 'injured', 'deceased']
# nodes
# people
def gen_people(n, db, start_lat, stop_lat, start_long, stop_long):... | 31.189024 | 111 | 0.634018 |
dbebfc8120396c97668055085f91d5e5e0b1e5af | 2,183 | py | Python | Medium/200.py | Hellofafar/Leetcode | 7a459e9742958e63be8886874904e5ab2489411a | [
"CNRI-Python"
] | 6 | 2017-09-25T18:05:50.000Z | 2019-03-27T00:23:15.000Z | Medium/200.py | Hellofafar/Leetcode | 7a459e9742958e63be8886874904e5ab2489411a | [
"CNRI-Python"
] | 1 | 2017-10-29T12:04:41.000Z | 2018-08-16T18:00:37.000Z | Medium/200.py | Hellofafar/Leetcode | 7a459e9742958e63be8886874904e5ab2489411a | [
"CNRI-Python"
] | null | null | null | # ------------------------------
# 200. Number of Islands
#
# Description:
# Given a 2d grid map of '1's (land) and '0's (water), count the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrou... | 29.106667 | 258 | 0.44022 |
dbec13a8be9b82963156b2e9e29130d14a7c09eb | 975 | py | Python | tests/formatters/fseventsd.py | SamuelePilleri/plaso | f5687f12a89c7309797ccc285da78e855c120579 | [
"Apache-2.0"
] | null | null | null | tests/formatters/fseventsd.py | SamuelePilleri/plaso | f5687f12a89c7309797ccc285da78e855c120579 | [
"Apache-2.0"
] | null | null | null | tests/formatters/fseventsd.py | SamuelePilleri/plaso | f5687f12a89c7309797ccc285da78e855c120579 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for the fseventsd record event formatter."""
from __future__ import unicode_literals
import unittest
from plaso.formatters import fseventsd
from tests.formatters import test_lib
if __name__ == '__main__':
unittest.main()
| 26.351351 | 67 | 0.756923 |
dbec8e855b885f99aff4e865947ea4c6e652c177 | 2,415 | py | Python | train.py | Farzin-Negahbani/PathoNet | b467a255fb356e64129b7942261e972ae15a2d2b | [
"MIT"
] | null | null | null | train.py | Farzin-Negahbani/PathoNet | b467a255fb356e64129b7942261e972ae15a2d2b | [
"MIT"
] | null | null | null | train.py | Farzin-Negahbani/PathoNet | b467a255fb356e64129b7942261e972ae15a2d2b | [
"MIT"
] | null | null | null | from keras.callbacks import ModelCheckpoint,Callback,LearningRateScheduler,TensorBoard
from keras.models import load_model
import random
import numpy as np
from scipy import misc
import gc
from keras.optimizers import Adam
from imageio import imread
from datetime import datetime
import os
import json
import models
from... | 41.637931 | 180 | 0.708075 |
dbed1f6b6c1523d648a1c00ecfbe4157990ceba2 | 1,445 | py | Python | tests/chainer_tests/functions_tests/array_tests/test_flatten.py | mingxiaoh/chainer-v3 | 815ff00f5eaf7944d6e8a75662ff64a2fe046a4d | [
"BSD-3-Clause"
] | 7 | 2017-05-08T07:02:40.000Z | 2018-12-02T18:35:39.000Z | tests/chainer_tests/functions_tests/array_tests/test_flatten.py | mingxiaoh/chainer-v3 | 815ff00f5eaf7944d6e8a75662ff64a2fe046a4d | [
"BSD-3-Clause"
] | null | null | null | tests/chainer_tests/functions_tests/array_tests/test_flatten.py | mingxiaoh/chainer-v3 | 815ff00f5eaf7944d6e8a75662ff64a2fe046a4d | [
"BSD-3-Clause"
] | null | null | null | import unittest
import numpy
import chainer
from chainer import cuda
from chainer import functions
from chainer import gradient_check
from chainer import testing
from chainer.testing import attr
testing.run_module(__name__, __file__)
| 26.759259 | 77 | 0.680969 |
dbed5bb534715e304b67cd5a82e6d1e8cca605fa | 1,693 | py | Python | categories/migrations/0001_initial.py | snoop2head/exercise_curation_django | ba35bd32d8bc203d318cb8b6e0a1722f3aa26eda | [
"MIT"
] | 3 | 2020-09-30T04:44:39.000Z | 2021-07-30T08:20:18.000Z | categories/migrations/0001_initial.py | snoop2head/exercise_curation_django | ba35bd32d8bc203d318cb8b6e0a1722f3aa26eda | [
"MIT"
] | 7 | 2021-03-30T13:09:55.000Z | 2022-01-13T02:33:34.000Z | categories/migrations/0001_initial.py | snoop2head/exercise_curation_django | ba35bd32d8bc203d318cb8b6e0a1722f3aa26eda | [
"MIT"
] | 1 | 2022-03-31T12:01:38.000Z | 2022-03-31T12:01:38.000Z | # Generated by Django 3.0.3 on 2020-03-24 09:59
from django.db import migrations, models
import django.db.models.deletion
| 37.622222 | 158 | 0.569403 |
dbed62851d59b2fa6655d17b726752f0c24c4682 | 2,773 | py | Python | src/metarl/envs/dm_control/dm_control_env.py | neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | [
"MIT"
] | 2 | 2021-02-07T12:14:52.000Z | 2021-07-29T08:07:22.000Z | src/metarl/envs/dm_control/dm_control_env.py | neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | [
"MIT"
] | null | null | null | src/metarl/envs/dm_control/dm_control_env.py | neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | [
"MIT"
] | null | null | null | from dm_control import suite
from dm_control.rl.control import flatten_observation
from dm_env import StepType
import gym
import numpy as np
from metarl.envs import Step
from metarl.envs.dm_control.dm_control_viewer import DmControlViewer
| 33.011905 | 79 | 0.586729 |
dbef5ddea825a12fdea28a38b148d831f47bd566 | 1,446 | py | Python | python_modules/lakehouse/lakehouse/snowflake_table.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 3 | 2020-04-28T16:27:33.000Z | 2020-07-22T07:43:30.000Z | python_modules/lakehouse/lakehouse/snowflake_table.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 2 | 2021-05-11T13:36:27.000Z | 2021-09-03T01:53:11.000Z | python_modules/lakehouse/lakehouse/snowflake_table.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 1 | 2021-02-21T12:16:47.000Z | 2021-02-21T12:16:47.000Z | from dagster import check
from .house import Lakehouse
from .table import create_lakehouse_table_def
| 26.777778 | 98 | 0.670816 |
dbef871a16cf470112cb22aef95e471326a91ea8 | 1,976 | py | Python | pype/plugins/maya/publish/validate_look_no_default_shaders.py | tokejepsen/pype | 8f2b2b631cc5d3ad93eeb5ad3bc6110d32466ed3 | [
"MIT"
] | null | null | null | pype/plugins/maya/publish/validate_look_no_default_shaders.py | tokejepsen/pype | 8f2b2b631cc5d3ad93eeb5ad3bc6110d32466ed3 | [
"MIT"
] | null | null | null | pype/plugins/maya/publish/validate_look_no_default_shaders.py | tokejepsen/pype | 8f2b2b631cc5d3ad93eeb5ad3bc6110d32466ed3 | [
"MIT"
] | null | null | null | from maya import cmds
import pyblish.api
import pype.api
import pype.maya.action
| 31.365079 | 76 | 0.619433 |
dbeff0d906fdca4fe34a55902305e858b8a7efb0 | 446 | py | Python | data_science_app/app.py | Johne-DuChene/data_science_learning_app | 40bafce85a27155766950806b5b32a2d1f6753c4 | [
"MIT"
] | null | null | null | data_science_app/app.py | Johne-DuChene/data_science_learning_app | 40bafce85a27155766950806b5b32a2d1f6753c4 | [
"MIT"
] | null | null | null | data_science_app/app.py | Johne-DuChene/data_science_learning_app | 40bafce85a27155766950806b5b32a2d1f6753c4 | [
"MIT"
] | null | null | null | from flask import Flask
# initialize the app
app = Flask(__name__)
# execute iris function at /iris route | 24.777778 | 55 | 0.674888 |
dbf02afc10d2a9ad48452a7e76a2ad7a46bdd3f5 | 10,714 | py | Python | vbdiar/scoring/normalization.py | VarunSrivastava19/VBDiarization | 2a460b4fc11b3a5ff73d0534cadb182be1a9d882 | [
"Apache-2.0"
] | 101 | 2017-12-19T21:55:59.000Z | 2022-03-15T06:56:06.000Z | vbdiar/scoring/normalization.py | VarunSrivastava19/VBDiarization | 2a460b4fc11b3a5ff73d0534cadb182be1a9d882 | [
"Apache-2.0"
] | 27 | 2017-07-20T06:10:42.000Z | 2020-11-22T14:15:16.000Z | vbdiar/scoring/normalization.py | VarunSrivastava19/VBDiarization | 2a460b4fc11b3a5ff73d0534cadb182be1a9d882 | [
"Apache-2.0"
] | 30 | 2017-07-17T08:53:44.000Z | 2021-05-18T07:37:46.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2018 Brno University of Technology FIT
# Author: Jan Profant <jan.profant@phonexia.com>
# All Rights Reserved
import os
import logging
import pickle
import multiprocessing
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from vb... | 39.10219 | 119 | 0.614243 |
dbf19789118428ff5f8d3aa59b32b64fa444b8b7 | 984 | py | Python | agent_based_models/abm_allelopathy/plot_data.py | mattsmart/biomodels | 237f87489553fa1ebf5c676fab563166dd0c39e9 | [
"MIT"
] | null | null | null | agent_based_models/abm_allelopathy/plot_data.py | mattsmart/biomodels | 237f87489553fa1ebf5c676fab563166dd0c39e9 | [
"MIT"
] | null | null | null | agent_based_models/abm_allelopathy/plot_data.py | mattsmart/biomodels | 237f87489553fa1ebf5c676fab563166dd0c39e9 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import os
| 30.75 | 111 | 0.650407 |
dbf1c54ca3fd34dfbf7ce18d8d98a14afb9379e4 | 1,056 | py | Python | azure-mgmt-network/azure/mgmt/network/v2018_10_01/models/virtual_wan_security_providers.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-network/azure/mgmt/network/v2018_10_01/models/virtual_wan_security_providers.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-network/azure/mgmt/network/v2018_10_01/models/virtual_wan_security_providers.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 35.2 | 101 | 0.630682 |
dbf2e984865e076aaf055509509eac8230a5a7d1 | 438 | py | Python | jsonresume_theme_stackoverflow/filters.py | flowgunso/jsonresume-theme-stackoverflow | 5fcadcf41a93478a09e95d79fd62d8ac3402b33b | [
"MIT"
] | null | null | null | jsonresume_theme_stackoverflow/filters.py | flowgunso/jsonresume-theme-stackoverflow | 5fcadcf41a93478a09e95d79fd62d8ac3402b33b | [
"MIT"
] | 4 | 2020-12-29T14:04:48.000Z | 2021-01-01T20:23:37.000Z | jsonresume_theme_stackoverflow/filters.py | flowgunso/jsonresume-theme-stackoverflow | 5fcadcf41a93478a09e95d79fd62d8ac3402b33b | [
"MIT"
] | null | null | null | import datetime
import re
from .exceptions import ObjectIsNotADate
| 24.333333 | 79 | 0.586758 |
dbf349d5a69e925a415de30492c1747e358368f6 | 3,966 | py | Python | ipec/data/core.py | wwwbbb8510/ippso | fa20d23cd8edba5908e65a0ab0ab990d7ce3d5d5 | [
"MIT"
] | 9 | 2018-05-10T01:04:34.000Z | 2019-06-28T07:47:37.000Z | ipec/data/core.py | wwwbbb8510/ippso | fa20d23cd8edba5908e65a0ab0ab990d7ce3d5d5 | [
"MIT"
] | null | null | null | ipec/data/core.py | wwwbbb8510/ippso | fa20d23cd8edba5908e65a0ab0ab990d7ce3d5d5 | [
"MIT"
] | 2 | 2020-10-12T03:54:30.000Z | 2021-09-08T14:10:21.000Z | import numpy as np
import os
import logging
from sklearn.model_selection import train_test_split
DATASET_ROOT_FOLDER = os.path.abspath('datasets')
| 36.054545 | 150 | 0.614977 |
dbf3d541561ba11217ad33d7f2e880d8ae1b4729 | 1,567 | py | Python | FOR/Analisador-completo/main.py | lucasf5/Python | c5649121e2af42922e2d9c19cec98322e132bdab | [
"MIT"
] | 1 | 2021-09-28T13:11:56.000Z | 2021-09-28T13:11:56.000Z | FOR/Analisador-completo/main.py | lucasf5/Python | c5649121e2af42922e2d9c19cec98322e132bdab | [
"MIT"
] | null | null | null | FOR/Analisador-completo/main.py | lucasf5/Python | c5649121e2af42922e2d9c19cec98322e132bdab | [
"MIT"
] | null | null | null | # Exerccio Python 56: Desenvolva um programa que leia o nome, idade e sexo de 4 pessoas. No final do programa, mostre: a mdia de idade do grupo, qual o nome do homem mais velho e quantas mulheres tm menos de 20 anos.
mediaidade = ''
nomelista = []
idadelista = []
sexolista = []
homens = []
mulherescommenosde20 = 0
n... | 27.982143 | 221 | 0.612636 |
dbf566f5e271a38bb7effb6c5cb9d1b3bcf1fdab | 22,131 | py | Python | test/python/quantum_info/operators/test_operator.py | EnriqueL8/qiskit-terra | 08b801f1f8598c4e44680b4a75c232ed92db0262 | [
"Apache-2.0"
] | 2 | 2019-06-28T19:58:42.000Z | 2019-07-26T05:04:02.000Z | test/python/quantum_info/operators/test_operator.py | EnriqueL8/qiskit-terra | 08b801f1f8598c4e44680b4a75c232ed92db0262 | [
"Apache-2.0"
] | null | null | null | test/python/quantum_info/operators/test_operator.py | EnriqueL8/qiskit-terra | 08b801f1f8598c4e44680b4a75c232ed92db0262 | [
"Apache-2.0"
] | 1 | 2020-01-24T21:01:06.000Z | 2020-01-24T21:01:06.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 38.826316 | 90 | 0.592246 |
dbf638d5301c89db06eb944d0fa138829b04d587 | 243 | py | Python | pages/feature_modal.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | pages/feature_modal.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | pages/feature_modal.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | from selenium.webdriver.common.by import By
| 30.375 | 82 | 0.699588 |
dbf65821c57bcbfbc7d857dacc3de5d4175d7481 | 1,101 | py | Python | liststations.py | CrookedY/AirPollutionBot | ce79037d6dddd1f297fce04a694b49f8b9a1bfad | [
"Apache-2.0"
] | 1 | 2018-08-10T14:06:07.000Z | 2018-08-10T14:06:07.000Z | liststations.py | CrookedY/AirPollutionBot | ce79037d6dddd1f297fce04a694b49f8b9a1bfad | [
"Apache-2.0"
] | 2 | 2017-08-09T11:24:31.000Z | 2018-03-01T22:50:04.000Z | liststations.py | CrookedY/AirPollutionBot | ce79037d6dddd1f297fce04a694b49f8b9a1bfad | [
"Apache-2.0"
] | null | null | null | from urllib2 import Request, urlopen, URLError
import json
request = Request('https://uk-air.defra.gov.uk/sos-ukair/api/v1/stations/')
try:
response = urlopen(request)
data = response.read()
except URLError, e:
print 'error:', e
stations= json.loads (data)
#extract out station 2
stations2 = stations [7]
prope... | 23.934783 | 85 | 0.719346 |
dbf72e3ca9c0760ca6777e329e27075106a7a7eb | 73 | py | Python | pyfinancials/engine.py | kmiller96/PyFinancials | 73a89b0fd3a3d501b8f8c770f73473e9a2d18fdf | [
"MIT"
] | 1 | 2019-02-09T21:28:27.000Z | 2019-02-09T21:28:27.000Z | pyfinancials/engine.py | kmiller96/PyFinancials | 73a89b0fd3a3d501b8f8c770f73473e9a2d18fdf | [
"MIT"
] | null | null | null | pyfinancials/engine.py | kmiller96/PyFinancials | 73a89b0fd3a3d501b8f8c770f73473e9a2d18fdf | [
"MIT"
] | null | null | null | def hello_world():
"""Tests the import."""
return "Hello world!"
| 18.25 | 27 | 0.60274 |
dbf810a25b7c035adf73121054a304443a683fb0 | 748 | py | Python | core/migrations/0002_auto_20180702_1913.py | mertyildiran/echo | 805db64e3fa9d31fd3c24390fac2e9bf7c91ad57 | [
"Apache-2.0"
] | 5 | 2018-07-26T22:48:00.000Z | 2021-05-02T01:59:51.000Z | core/migrations/0002_auto_20180702_1913.py | mertyildiran/echo | 805db64e3fa9d31fd3c24390fac2e9bf7c91ad57 | [
"Apache-2.0"
] | null | null | null | core/migrations/0002_auto_20180702_1913.py | mertyildiran/echo | 805db64e3fa9d31fd3c24390fac2e9bf7c91ad57 | [
"Apache-2.0"
] | 1 | 2018-08-04T14:07:53.000Z | 2018-08-04T14:07:53.000Z | # Generated by Django 2.0.6 on 2018-07-02 19:13
import core.models
from django.db import migrations, models
| 24.933333 | 99 | 0.57754 |
dbf954bdb4324156034054e74ee082a9dc8b9157 | 6,151 | py | Python | tests/test_helpers.py | ajdavis/aiohttp | d5138978f3e82aa82a2f003b00d38112c58a40c1 | [
"Apache-2.0"
] | 1 | 2021-07-07T06:36:57.000Z | 2021-07-07T06:36:57.000Z | tests/test_helpers.py | ajdavis/aiohttp | d5138978f3e82aa82a2f003b00d38112c58a40c1 | [
"Apache-2.0"
] | null | null | null | tests/test_helpers.py | ajdavis/aiohttp | d5138978f3e82aa82a2f003b00d38112c58a40c1 | [
"Apache-2.0"
] | null | null | null | import pytest
from unittest import mock
from aiohttp import helpers
import datetime
| 29.572115 | 79 | 0.643635 |
dbf96ddd90a5808166e52168da5cadf7b4bb5c35 | 372 | py | Python | GenConfigs.py | truls/faas-profiler | d54ca0d9926f38c693f616ba4d08414aea823f51 | [
"MIT"
] | null | null | null | GenConfigs.py | truls/faas-profiler | d54ca0d9926f38c693f616ba4d08414aea823f51 | [
"MIT"
] | null | null | null | GenConfigs.py | truls/faas-profiler | d54ca0d9926f38c693f616ba4d08414aea823f51 | [
"MIT"
] | null | null | null | from os.path import join
FAAS_ROOT="/lhome/trulsas/faas-profiler"
WORKLOAD_SPECS=join(FAAS_ROOT, "specs", "workloads")
#FAAS_ROOT="/home/truls/uni/phd/faas-profiler"
WSK_PATH = "wsk"
OPENWHISK_PATH = "/lhome/trulsas/openwhisk"
#: Location of output data
DATA_DIR = join(FAAS_ROOT, "..", "profiler_results")
SYSTEM_CPU... | 28.615385 | 61 | 0.736559 |
dbfb34040aab0e7552b68ecebacb85f0a1f7a601 | 211 | py | Python | Chapter09/calc.py | LuisPereda/Learning_Python | e89e69346c5584be10d991010f39b59329793ba5 | [
"MIT"
] | null | null | null | Chapter09/calc.py | LuisPereda/Learning_Python | e89e69346c5584be10d991010f39b59329793ba5 | [
"MIT"
] | null | null | null | Chapter09/calc.py | LuisPereda/Learning_Python | e89e69346c5584be10d991010f39b59329793ba5 | [
"MIT"
] | null | null | null | print divide(10,0)
print sum1(10,0) | 13.1875 | 34 | 0.635071 |
dbfbafe90d8d62c542ce03ef8a862cdef8687b06 | 5,288 | py | Python | radssh/hostkey.py | Eli-Tarrago/radssh | ebf3c8f17c3768268dcd483e899a590698de4452 | [
"BSD-3-Clause"
] | 39 | 2015-05-11T15:06:58.000Z | 2021-12-29T07:24:23.000Z | radssh/hostkey.py | Eli-Tarrago/radssh | ebf3c8f17c3768268dcd483e899a590698de4452 | [
"BSD-3-Clause"
] | 45 | 2015-01-05T22:11:18.000Z | 2021-06-02T03:57:49.000Z | radssh/hostkey.py | eorochena/radssh | b1d1ee5822036445f26a34147452df5c3142caee | [
"BSD-3-Clause"
] | 13 | 2015-05-05T12:42:09.000Z | 2022-03-03T18:09:49.000Z | #
# Copyright (c) 2014, 2016, 2018, 2020 LexisNexis Risk Data Management Inc.
#
# This file is part of the RadSSH software package.
#
# RadSSH is free software, released under the Revised BSD License.
# You are permitted to use, modify, and redsitribute this software
# according to the Revised BSD License, a copy of wh... | 39.462687 | 167 | 0.625946 |
dbfc3c9f59db54005f9a1ad67dd376c6806f7fa6 | 14,153 | py | Python | nuke/pymmh3.py | jfpanisset/Cryptomatte | d7c71cff17a4e8895eb17520115aa45ff66b8540 | [
"BSD-3-Clause"
] | 543 | 2016-07-07T15:31:01.000Z | 2022-03-31T10:58:32.000Z | nuke/pymmh3.py | jfpanisset/Cryptomatte | d7c71cff17a4e8895eb17520115aa45ff66b8540 | [
"BSD-3-Clause"
] | 143 | 2016-07-07T16:56:38.000Z | 2022-02-23T23:16:52.000Z | nuke/pymmh3.py | jfpanisset/Cryptomatte | d7c71cff17a4e8895eb17520115aa45ff66b8540 | [
"BSD-3-Clause"
] | 158 | 2016-07-07T16:41:49.000Z | 2022-03-21T17:57:28.000Z | '''
pymmh3 was written by Fredrik Kihlander and enhanced by Swapnil Gusani, and is placed in the public
domain. The authors hereby disclaim copyright to this source code.
pure python implementation of the murmur3 hash algorithm
https://code.google.com/p/smhasher/wiki/MurmurHash3
This was written for the times when y... | 31.311947 | 104 | 0.464283 |
dbfc56fb832ee5fc9af604dacd2a35c059519b31 | 950 | py | Python | bindings/python/tests/test_factory.py | pscff/dlite | 4365d828dcaa1736cc78ff6ed9a65592f198ba25 | [
"MIT"
] | 10 | 2020-04-08T06:25:27.000Z | 2022-03-15T06:54:53.000Z | bindings/python/tests/test_factory.py | pscff/dlite | 4365d828dcaa1736cc78ff6ed9a65592f198ba25 | [
"MIT"
] | 117 | 2019-12-16T14:43:41.000Z | 2022-03-21T19:46:58.000Z | bindings/python/tests/test_factory.py | pscff/dlite | 4365d828dcaa1736cc78ff6ed9a65592f198ba25 | [
"MIT"
] | 5 | 2020-04-15T16:23:29.000Z | 2021-12-07T08:40:54.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import dlite
thisdir = os.path.abspath(os.path.dirname(__file__))
url = 'json://' + thisdir + '/Person.json'
print('-- create: ExPerson')
ExPerson = dlite.classfactory(Person, url=url)
print('-- create: person1')
person1 = Person('Jack Daniel', 42, ['distil... | 25 | 78 | 0.671579 |
dbfcfb1df1954ace1963bc30983b96adb222d711 | 807 | py | Python | week_11_DS_N_Algorithm/03_Thr_Lecture/실습6_연속 부분 최대합.py | bky373/elice-racer-1st | ddea8079a1083796ed4f59c38650ff8f4333e6ef | [
"FSFAP"
] | 1 | 2021-11-03T18:27:37.000Z | 2021-11-03T18:27:37.000Z | week_11_DS_N_Algorithm/03_Thr_Lecture/실습6_연속 부분 최대합.py | bky373/elice-racer-1st | ddea8079a1083796ed4f59c38650ff8f4333e6ef | [
"FSFAP"
] | null | null | null | week_11_DS_N_Algorithm/03_Thr_Lecture/실습6_연속 부분 최대합.py | bky373/elice-racer-1st | ddea8079a1083796ed4f59c38650ff8f4333e6ef | [
"FSFAP"
] | 1 | 2021-02-10T15:21:53.000Z | 2021-02-10T15:21:53.000Z | '''
nn , .
, 8 .
1 2 -4 5 3 -2 9 -10
, .
[1, 2, -4], [5, 3, -2, 9], [9, -10] .
[5, 3, -2, 9] ,
.
5+3+(-2)+9 = 15 .
1 2 -4 5 3 -2 9 -10
15
100.
'''
import sys
def getSubsum(data) :
'''
n list , .
'''
dp = [0] * len(data)
d... | 17.170213 | 61 | 0.537794 |
dbfd1a602dd992f412e1700c617d5bbf9b239826 | 505 | py | Python | tests/test_dns.py | jensstein/mockdock | 4eec294f33d929d361973c1708d2aa856a9900a0 | [
"MIT"
] | null | null | null | tests/test_dns.py | jensstein/mockdock | 4eec294f33d929d361973c1708d2aa856a9900a0 | [
"MIT"
] | 6 | 2020-03-24T16:45:10.000Z | 2021-02-13T10:03:53.000Z | tests/test_dns.py | jensstein/mockdock | 4eec294f33d929d361973c1708d2aa856a9900a0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
from mockdock import dns
| 38.846154 | 168 | 0.708911 |
dbfd45a1262d4d81ad4ca682e226d591f37c7fd4 | 1,490 | py | Python | tests/conftest.py | zhongnansu/es-cli | e0656c21392e52a8b9cfafa69acfa0c13b743a9c | [
"Apache-2.0"
] | 6 | 2019-08-23T18:06:41.000Z | 2020-05-06T18:26:53.000Z | tests/conftest.py | zhongnansu/es-cli | e0656c21392e52a8b9cfafa69acfa0c13b743a9c | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | zhongnansu/es-cli | e0656c21392e52a8b9cfafa69acfa0c13b743a9c | [
"Apache-2.0"
] | null | null | null | """
Copyright 2019, Amazon Web Services Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,... | 29.8 | 73 | 0.769799 |
dbfd8140aa71c6ce6288cd86d96c8cf8754cf91f | 26,845 | py | Python | Cogs/ServerStats.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | Cogs/ServerStats.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | Cogs/ServerStats.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | import asyncio
import discord
from datetime import datetime
from operator import itemgetter
from discord.ext import commands
from Cogs import Nullify
from Cogs import DisplayName
from Cogs import UserTime
from Cogs import Message
| 42.076803 | 254 | 0.537568 |
dbfdaede95b2536399d16c62c421baf5bd420ceb | 6,688 | py | Python | chess_commentary_model/transformers_model/dataset_preprocessing.py | Rseiji/TCC-2020 | da68a49da38adf1bcf590b3028894d7834a28157 | [
"MIT"
] | null | null | null | chess_commentary_model/transformers_model/dataset_preprocessing.py | Rseiji/TCC-2020 | da68a49da38adf1bcf590b3028894d7834a28157 | [
"MIT"
] | 2 | 2020-08-30T22:47:54.000Z | 2021-03-31T19:58:11.000Z | chess_commentary_model/transformers_model/dataset_preprocessing.py | Rseiji/TCC-2020 | da68a49da38adf1bcf590b3028894d7834a28157 | [
"MIT"
] | null | null | null | """Mtodos de preprocessamento de testes individuais
"""
import pandas as pd
import numpy as np
import math
def test_1(df, seed=0):
"""training: balanced; test: balanced
training: 80k (40k 0, 40k 1)
test: 20k (10k 0, 10k 1)
"""
df_ones = df[df['label'] == 1]
df_zeros = df[df['label'] =... | 36.546448 | 80 | 0.689145 |
dbfdb987e6de76d1f36bf0f8ce7f9d972b1cbaed | 7,103 | py | Python | venv/Lib/site-packages/CoolProp/constants.py | kubakoziczak/gasSteamPowerPlant | e6c036cc66ee2ff0b3f2fc923d0991bf57295d61 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/CoolProp/constants.py | kubakoziczak/gasSteamPowerPlant | e6c036cc66ee2ff0b3f2fc923d0991bf57295d61 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/CoolProp/constants.py | kubakoziczak/gasSteamPowerPlant | e6c036cc66ee2ff0b3f2fc923d0991bf57295d61 | [
"MIT"
] | null | null | null | # This file is automatically generated by the generate_constants_module.py script in wrappers/Python.
# DO NOT MODIFY THE CONTENTS OF THIS FILE!
from __future__ import absolute_import
from . import _constants
INVALID_PARAMETER = _constants.INVALID_PARAMETER
igas_constant = _constants.igas_constant
imolar_mass = _cons... | 44.672956 | 120 | 0.887653 |
dbfe9381e4f6dcc57fd5c5d02265d7f565b40315 | 2,857 | py | Python | torch_datasets/samplers/balanced_batch_sampler.py | mingruimingrui/torch-datasets | 2640b8c4fa82156e68e617fc545a546b4e08dc4e | [
"MIT"
] | null | null | null | torch_datasets/samplers/balanced_batch_sampler.py | mingruimingrui/torch-datasets | 2640b8c4fa82156e68e617fc545a546b4e08dc4e | [
"MIT"
] | null | null | null | torch_datasets/samplers/balanced_batch_sampler.py | mingruimingrui/torch-datasets | 2640b8c4fa82156e68e617fc545a546b4e08dc4e | [
"MIT"
] | null | null | null | import random
import torch.utils.data.sampler
| 38.608108 | 147 | 0.637382 |
dbfe9b7374d292dd3a07ffc92b4ebb9e7af2ac5d | 1,416 | py | Python | ambari-common/src/main/python/resource_management/libraries/functions/get_bare_principal.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 1,664 | 2015-01-03T09:35:21.000Z | 2022-03-31T04:55:24.000Z | ambari-common/src/main/python/resource_management/libraries/functions/get_bare_principal.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 3,018 | 2015-02-19T20:16:10.000Z | 2021-11-13T20:47:48.000Z | ambari-common/src/main/python/resource_management/libraries/functions/get_bare_principal.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 1,673 | 2015-01-06T14:14:42.000Z | 2022-03-31T07:22:30.000Z | #!/usr/bin/env python
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License");... | 33.714286 | 97 | 0.764831 |
dbff3b375851c03b4ae31fb20b30423a4b9c6ad5 | 1,162 | py | Python | 04/cross_validation.01.py | study-machine-learning/dongheon.shin | 6103ef9c73b162603bc39a27e4ecca0f1ac35e57 | [
"MIT"
] | 2 | 2017-09-24T02:29:48.000Z | 2017-10-05T11:15:22.000Z | 04/cross_validation.01.py | study-machine-learning/dongheon.shin | 6103ef9c73b162603bc39a27e4ecca0f1ac35e57 | [
"MIT"
] | null | null | null | 04/cross_validation.01.py | study-machine-learning/dongheon.shin | 6103ef9c73b162603bc39a27e4ecca0f1ac35e57 | [
"MIT"
] | null | null | null | from sklearn import svm, metrics
import random
import re
lines = open("iris.csv", "r", encoding="utf-8").read().split("\n")
csv = list(map(to_columm, lines))
del csv[0]
random.shuffle(csv)
k = 5
csv_k = [[] for i in range(k)]
scores = []
for i in range(len(csv)):
csv_k[i % k].append(csv[i])
for test in... | 16.84058 | 66 | 0.620482 |
e002150863388c3c73e7c985abca9ac6c4427a70 | 2,587 | bzl | Python | third_party/org_specs2.bzl | wix/wix-oss-infra | b57ac2f0f66487cfdd08293a8fa389efe3d42c43 | [
"MIT"
] | 3 | 2020-01-14T12:57:31.000Z | 2021-06-06T20:47:57.000Z | third_party/org_specs2.bzl | wix/wix-oss-infra | b57ac2f0f66487cfdd08293a8fa389efe3d42c43 | [
"MIT"
] | 20 | 2020-04-02T13:08:43.000Z | 2020-11-05T11:27:40.000Z | third_party/org_specs2.bzl | wix/wix-oss-infra | b57ac2f0f66487cfdd08293a8fa389efe3d42c43 | [
"MIT"
] | 1 | 2021-04-02T09:32:35.000Z | 2021-04-02T09:32:35.000Z | load("@wix_oss_infra//:import_external.bzl", import_external = "safe_wix_scala_maven_import_external")
| 37.492754 | 102 | 0.68535 |
e0023b6272774adf06f1384bdb4cb510043c4a82 | 224 | py | Python | task/w2/trenirovka/12-rivnist 2.py | beregok/pythontask | 50394ff2b52ab4f3273ec9ddc4b504d1f7b3159e | [
"MIT"
] | 1 | 2019-09-29T14:19:54.000Z | 2019-09-29T14:19:54.000Z | task/w2/trenirovka/12-rivnist 2.py | beregok/pythontask | 50394ff2b52ab4f3273ec9ddc4b504d1f7b3159e | [
"MIT"
] | null | null | null | task/w2/trenirovka/12-rivnist 2.py | beregok/pythontask | 50394ff2b52ab4f3273ec9ddc4b504d1f7b3159e | [
"MIT"
] | null | null | null | a = int(input())
b = int(input())
c = int(input())
d = int(input())
if a == 0 and b == 0:
print("INF")
else:
if (d - b * c / a) != 0 and (- b / a) == (- b // a):
print(- b // a)
else:
print("NO")
| 18.666667 | 56 | 0.397321 |
e0063a8b35dfc827fe158a159fe5d8b8ab703065 | 4,920 | py | Python | get_data/speech_commands.py | patrick-kidger/generalised_shapelets | 04930c89dc4673e2af402895fe67655f8375a808 | [
"MIT"
] | 32 | 2020-05-31T17:41:58.000Z | 2022-03-28T18:38:11.000Z | get_data/speech_commands.py | patrick-kidger/generalised_shapelets | 04930c89dc4673e2af402895fe67655f8375a808 | [
"MIT"
] | 1 | 2022-02-09T22:13:03.000Z | 2022-02-09T23:55:28.000Z | get_data/speech_commands.py | patrick-kidger/generalised_shapelets | 04930c89dc4673e2af402895fe67655f8375a808 | [
"MIT"
] | 9 | 2020-07-17T16:50:24.000Z | 2021-12-13T11:29:12.000Z | import os
import pathlib
import sklearn.model_selection
import tarfile
import torch
import torchaudio
import urllib.request
here = pathlib.Path(__file__).resolve().parent
if __name__ == '__main__':
main()
| 42.051282 | 120 | 0.566057 |
e008ab01b4020e37d916e20d303c66a51a23123e | 5,652 | py | Python | app/endpoints/products.py | duch94/spark_crud_test | 94a514797700c2e929792f0424fb0e9e911489b7 | [
"BSD-2-Clause"
] | null | null | null | app/endpoints/products.py | duch94/spark_crud_test | 94a514797700c2e929792f0424fb0e9e911489b7 | [
"BSD-2-Clause"
] | null | null | null | app/endpoints/products.py | duch94/spark_crud_test | 94a514797700c2e929792f0424fb0e9e911489b7 | [
"BSD-2-Clause"
] | null | null | null | from datetime import datetime
from typing import List
from flask import Blueprint, jsonify, request, json
from app.models.products import Product, Category, products_categories
from app import db
products_blueprint = Blueprint('products', __name__)
def create_or_get_categories(p: dict) -> List[Category]... | 45.580645 | 120 | 0.608457 |
e008c8c892e467ea561589969c08eaa2c9b808db | 1,701 | py | Python | util/config/validators/test/test_validate_bitbucket_trigger.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 2,027 | 2019-11-12T18:05:48.000Z | 2022-03-31T22:25:04.000Z | util/config/validators/test/test_validate_bitbucket_trigger.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 496 | 2019-11-12T18:13:37.000Z | 2022-03-31T10:43:45.000Z | util/config/validators/test/test_validate_bitbucket_trigger.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 249 | 2019-11-12T18:02:27.000Z | 2022-03-22T12:19:19.000Z | import pytest
from httmock import urlmatch, HTTMock
from util.config import URLSchemeAndHostname
from util.config.validator import ValidatorContext
from util.config.validators import ConfigValidationException
from util.config.validators.validate_bitbucket_trigger import BitbucketTriggerValidator
from test.fixtures i... | 29.842105 | 87 | 0.671958 |
e008cc40a9e990beff8a7a594350250e113f3691 | 2,414 | py | Python | Refraction.py | silkoch42/Geometric-Optics-from-QM | baf41b54c37835b527d5b98cb480d68bc2ff68c3 | [
"MIT"
] | null | null | null | Refraction.py | silkoch42/Geometric-Optics-from-QM | baf41b54c37835b527d5b98cb480d68bc2ff68c3 | [
"MIT"
] | null | null | null | Refraction.py | silkoch42/Geometric-Optics-from-QM | baf41b54c37835b527d5b98cb480d68bc2ff68c3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 15 16:51:16 2019
@author: Silvan
"""
import numpy as np
import scipy
import matplotlib.pyplot as plt
k=1000
n1=2.0
n2=1.0
alpha=np.pi/6.0
beta=np.arcsin(n2/n1*np.sin(alpha))
ya=1.0
xa=-ya*np.tan(alpha)
yb=-1.0
xb=-yb*np.tan(beta)
K2,x... | 24.383838 | 95 | 0.583264 |
e0097d9cfd4f53f9d94ad08b373e659436909217 | 444 | py | Python | readthedocs/docsitalia/management/commands/clear_elasticsearch.py | italia/readthedocs.org | 440d3885380d20ec24081f76e26d20701749e179 | [
"MIT"
] | 19 | 2018-03-28T12:28:35.000Z | 2022-02-14T20:09:42.000Z | readthedocs/docsitalia/management/commands/clear_elasticsearch.py | berez23/docs.italia.it | 440d3885380d20ec24081f76e26d20701749e179 | [
"MIT"
] | 274 | 2017-10-10T07:59:04.000Z | 2022-03-12T00:56:03.000Z | readthedocs/docsitalia/management/commands/clear_elasticsearch.py | italia/readthedocs.org | 440d3885380d20ec24081f76e26d20701749e179 | [
"MIT"
] | 13 | 2018-04-03T09:49:50.000Z | 2021-04-18T22:04:15.000Z | """Remove the readthedocs elasticsearch index."""
from __future__ import absolute_import
from django.conf import settings
from django.core.management.base import BaseCommand
from elasticsearch import Elasticsearch
| 23.368421 | 51 | 0.725225 |
e00b9ee8e43ae71af00a3fe383bedc3df745f04d | 7,574 | py | Python | train.py | vnbot2/BigGAN-PyTorch | 1725269d52e05fbd4d06dac64aa4906a8ae7a760 | [
"MIT"
] | null | null | null | train.py | vnbot2/BigGAN-PyTorch | 1725269d52e05fbd4d06dac64aa4906a8ae7a760 | [
"MIT"
] | null | null | null | train.py | vnbot2/BigGAN-PyTorch | 1725269d52e05fbd4d06dac64aa4906a8ae7a760 | [
"MIT"
] | null | null | null | """ BigGAN: The Authorized Unofficial PyTorch release
Code by A. Brock and A. Andonian
This code is an unofficial reimplementation of
"Large-Scale GAN Training for High Fidelity Natural Image Synthesis,"
by A. Brock, J. Donahue, and K. Simonyan (arXiv 1809.11096).
Let's go.
"""
import datetime
impor... | 40.287234 | 103 | 0.597571 |
e00c71d6078595059b1d0af82650622e80499174 | 1,693 | py | Python | geocamUtil/tempfiles.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 4 | 2017-03-03T16:24:24.000Z | 2018-06-24T05:50:40.000Z | geocamUtil/tempfiles.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 1 | 2021-09-29T17:17:30.000Z | 2021-09-29T17:17:30.000Z | geocamUtil/tempfiles.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 1 | 2017-12-19T20:45:53.000Z | 2017-12-19T20:45:53.000Z | # __BEGIN_LICENSE__
#Copyright (c) 2015, United States Government, as represented by the
#Administrator of the National Aeronautics and Space Administration.
#All rights reserved.
# __END_LICENSE__
import os
import time
import random
import shutil
from glob import glob
import traceback
import sys
from geocamUtil im... | 27.306452 | 93 | 0.617247 |
e00d7dd12724a0363ee40d8c349e7cccfb71d6f4 | 5,752 | py | Python | Ex1:Tests/ex2.py | Lludion/Exercises-SE | 4d5b2b4f2989a3e2c7891ba2b766394dbfb43973 | [
"MIT"
] | null | null | null | Ex1:Tests/ex2.py | Lludion/Exercises-SE | 4d5b2b4f2989a3e2c7891ba2b766394dbfb43973 | [
"MIT"
] | null | null | null | Ex1:Tests/ex2.py | Lludion/Exercises-SE | 4d5b2b4f2989a3e2c7891ba2b766394dbfb43973 | [
"MIT"
] | null | null | null | # Ce fichier contient (au moins) cinq erreurs.
# Instructions:
# - tester jusqu' atteindre 100% de couverture;
# - corriger les bugs;"
# - envoyer le diff ou le dpt git par email."""
import hypothesis
from hypothesis import given, settings
from hypothesis.strategies import integers, lists
| 31.26087 | 112 | 0.604312 |
e00dbb3c20046835e182d01718caf34d09944176 | 22,455 | py | Python | python/snewpy/snowglobes.py | svalder/snewpy | 5723189ae3dce3506f2fab056bbef24c9ab1a31f | [
"BSD-3-Clause"
] | null | null | null | python/snewpy/snowglobes.py | svalder/snewpy | 5723189ae3dce3506f2fab056bbef24c9ab1a31f | [
"BSD-3-Clause"
] | null | null | null | python/snewpy/snowglobes.py | svalder/snewpy | 5723189ae3dce3506f2fab056bbef24c9ab1a31f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""The ``snewpy.snowglobes`` module contains functions for interacting with SNOwGLoBES.
`SNOwGLoBES <https://github.com/SNOwGLoBES/snowglobes>`_ can estimate detected
event rates from a given input supernova neutrino flux. It supports many
different neutrino detectors, detector materials and in... | 46.298969 | 553 | 0.631485 |
e00e074bf789711cc01d53bcaa030d52c4e69f5b | 4,621 | py | Python | rlcycle/dqn_base/loss.py | cyoon1729/Rlcycle | 5c65b9dd61a6fd5d6dfe92f0b3e04bf309828569 | [
"MIT"
] | 128 | 2020-06-29T01:40:36.000Z | 2022-03-29T15:37:39.000Z | rlcycle/dqn_base/loss.py | cyoon1729/Rlcycle | 5c65b9dd61a6fd5d6dfe92f0b3e04bf309828569 | [
"MIT"
] | 8 | 2020-06-29T03:51:50.000Z | 2020-07-22T23:55:47.000Z | rlcycle/dqn_base/loss.py | cyoon1729/Rlcycle | 5c65b9dd61a6fd5d6dfe92f0b3e04bf309828569 | [
"MIT"
] | 24 | 2020-07-02T06:03:03.000Z | 2022-03-22T11:59:53.000Z | from typing import List, Tuple
from omegaconf import DictConfig
import torch
import torch.nn as nn
import torch.nn.functional as F
from rlcycle.common.abstract.loss import Loss
| 34.485075 | 86 | 0.61069 |
e00f4579dad4a0f1f3310721291b602f532b6bf5 | 12,518 | py | Python | scripts/gap_filling_viewer.py | raphischer/probgf | 01bd2be85aa98afd79fc05c1eb3e260b2bcd2ebd | [
"MIT"
] | 3 | 2020-11-19T10:28:57.000Z | 2021-04-15T17:16:24.000Z | scripts/gap_filling_viewer.py | raphischer/probgf | 01bd2be85aa98afd79fc05c1eb3e260b2bcd2ebd | [
"MIT"
] | null | null | null | scripts/gap_filling_viewer.py | raphischer/probgf | 01bd2be85aa98afd79fc05c1eb3e260b2bcd2ebd | [
"MIT"
] | null | null | null | """viewer application which allows to interactively view spatio-temporal gap filling results"""
import os
import argparse
from datetime import datetime, timedelta
from tkinter import Canvas, Tk, Button, RAISED, DISABLED, SUNKEN, NORMAL
import numpy as np
from PIL import Image, ImageTk
import probgf.media as media
pa... | 51.941909 | 158 | 0.616552 |
e00f57f732929e05a58cd0ef2eae47d08e8561a9 | 4,946 | py | Python | paypal/pro/tests.py | pdfcrowd/django-paypal | 0ea56dc6c799204f0f8719481f94d0c79de6eff5 | [
"Unlicense",
"MIT"
] | 1 | 2019-06-13T15:59:48.000Z | 2019-06-13T15:59:48.000Z | pro/tests.py | sirmmo/django-paypal | 0c8aeec1c319a08ce1bfdf828534d01b69b8fa27 | [
"MIT",
"Unlicense"
] | null | null | null | pro/tests.py | sirmmo/django-paypal | 0c8aeec1c319a08ce1bfdf828534d01b69b8fa27 | [
"MIT",
"Unlicense"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
from django.conf import settings
from django.core.handlers.wsgi import WSGIRequest
from django.forms import ValidationError
from django.http import QueryDict
from django.test import TestCase
from django.test.client import Client
from paypal.pro.fields import CreditCardField
fr... | 32.973333 | 234 | 0.593207 |
e00f75413d6a65ba71109974edd248bc1533ce8f | 1,010 | py | Python | Hackerrank_Bot_Saves_Princess.py | madhurgupta96/Algorithmic-Journey | 75868af1050c99fc25e295812ba1a47468c6737f | [
"Apache-2.0"
] | null | null | null | Hackerrank_Bot_Saves_Princess.py | madhurgupta96/Algorithmic-Journey | 75868af1050c99fc25e295812ba1a47468c6737f | [
"Apache-2.0"
] | null | null | null | Hackerrank_Bot_Saves_Princess.py | madhurgupta96/Algorithmic-Journey | 75868af1050c99fc25e295812ba1a47468c6737f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 7 19:46:40 2020
@author: Intel
"""
m = int(input())
grid = []
for i in range(0, m):
grid.append(input().strip())
displayPathtoPrincess(m,grid) | 22.954545 | 40 | 0.372277 |
e01063b5b93496a8c88b374770c28bc942feb23d | 65,397 | py | Python | gelviz/basic.py | HiDiHlabs/gelviz | 515f0462738b44609679c2a26c7d8ac3ed3b4b2b | [
"BSD-3-Clause"
] | null | null | null | gelviz/basic.py | HiDiHlabs/gelviz | 515f0462738b44609679c2a26c7d8ac3ed3b4b2b | [
"BSD-3-Clause"
] | null | null | null | gelviz/basic.py | HiDiHlabs/gelviz | 515f0462738b44609679c2a26c7d8ac3ed3b4b2b | [
"BSD-3-Clause"
] | null | null | null | import matplotlib.pyplot as plt
import pybedtools
import pandas as pnd
import numpy as np
import tabix
import matplotlib.ticker as ticker
from matplotlib.patches import Rectangle
from matplotlib.patches import Arrow
from matplotlib.path import Path
from matplotlib.patches import PathPatch
import matplotlib.cm as cm
imp... | 35.254447 | 80 | 0.545101 |
e010b163b6fbc347a75063de7760418370bb37d6 | 31,171 | py | Python | toc/fsa/fsa.py | djrochford/toc | 934d19b4acda55a6d4610c8a91b1a6005ff7b683 | [
"MIT"
] | null | null | null | toc/fsa/fsa.py | djrochford/toc | 934d19b4acda55a6d4610c8a91b1a6005ff7b683 | [
"MIT"
] | null | null | null | toc/fsa/fsa.py | djrochford/toc | 934d19b4acda55a6d4610c8a91b1a6005ff7b683 | [
"MIT"
] | null | null | null | """
File containing DFA and NFA public classes
"""
import collections.abc
from itertools import product, chain, combinations
from string import printable
from typing import (
AbstractSet,
Container,
FrozenSet,
Iterable,
List,
Mapping,
MutableMapping,
Optional,
Set,
Tuple,
Uni... | 39.506971 | 91 | 0.595939 |
e0112c386596780c5a86b0d6086dc2f7b6c2be8a | 429 | py | Python | Numbers/Roman Number Generator/tests.py | fossabot/IdeaBag2-Solutions | 73b554d9796510fc86e5fc55016732aa866266c6 | [
"MIT"
] | 10 | 2018-07-06T22:05:45.000Z | 2021-05-22T11:29:04.000Z | Numbers/Roman Number Generator/tests.py | jarik-marwede/IdeaBag2-Projects | c5fe9524ef03a6ebc098ab8aaee7448f5b877828 | [
"MIT"
] | 22 | 2018-07-13T17:16:43.000Z | 2022-01-11T11:16:08.000Z | Numbers/Roman Number Generator/tests.py | jarik-marwede/IdeaBag2-Projects | c5fe9524ef03a6ebc098ab8aaee7448f5b877828 | [
"MIT"
] | 1 | 2020-06-13T18:53:51.000Z | 2020-06-13T18:53:51.000Z | #!/usr/bin/env python3
import unittest
from roman_number_generator import arabic_to_roman
if __name__ == "__main__":
unittest.main()
| 23.833333 | 60 | 0.717949 |
e012a92e1f872614d01a6331fee5e35c430a31f7 | 261 | py | Python | modules/moduleBase.py | saintaardvark/glouton-satnogs-data-downloader | dc8671340f558b1a21b41b9b04bab05fc15c7809 | [
"MIT"
] | null | null | null | modules/moduleBase.py | saintaardvark/glouton-satnogs-data-downloader | dc8671340f558b1a21b41b9b04bab05fc15c7809 | [
"MIT"
] | null | null | null | modules/moduleBase.py | saintaardvark/glouton-satnogs-data-downloader | dc8671340f558b1a21b41b9b04bab05fc15c7809 | [
"MIT"
] | null | null | null | from infrastructure.satnogClient import SatnogClient
import os | 29 | 66 | 0.762452 |
e013ea72c2e27425fa2415a60a17282e347acbb7 | 45,537 | py | Python | oregano_plugins/fusion/server.py | MrNaif2018/Oregano | cc08f813f9cbdb80d1ac607892f8439ec064ee04 | [
"MIT"
] | null | null | null | oregano_plugins/fusion/server.py | MrNaif2018/Oregano | cc08f813f9cbdb80d1ac607892f8439ec064ee04 | [
"MIT"
] | null | null | null | oregano_plugins/fusion/server.py | MrNaif2018/Oregano | cc08f813f9cbdb80d1ac607892f8439ec064ee04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Oregano - a lightweight Ergon client
# CashFusion - an advanced coin anonymizer
#
# Copyright (C) 2020 Mark B. Lundeberg
#
# 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 So... | 45.310448 | 174 | 0.599798 |
e014451ff2d26b3e408bb00a4f1a954adc75daa5 | 2,229 | py | Python | Excercici4Package/ex4.py | jtorrenth/CienciaDades | 81f005ed1ddcc218dcde8c5e2f1a297444389a82 | [
"MIT"
] | null | null | null | Excercici4Package/ex4.py | jtorrenth/CienciaDades | 81f005ed1ddcc218dcde8c5e2f1a297444389a82 | [
"MIT"
] | null | null | null | Excercici4Package/ex4.py | jtorrenth/CienciaDades | 81f005ed1ddcc218dcde8c5e2f1a297444389a82 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
#Funcio per a l'excercici 4.4
| 31.842857 | 154 | 0.674742 |
e0161b99cffb06588c8cd2a39e9f07abf59540ea | 18,987 | bzl | Python | build/rules.bzl | filmil/bazel-ebook | 433f1e157c6c1b7867abf72bc0e882c07477d60d | [
"Apache-2.0"
] | 9 | 2020-05-31T10:24:57.000Z | 2021-12-21T10:07:51.000Z | build/rules.bzl | filmil/bazel-ebook | 433f1e157c6c1b7867abf72bc0e882c07477d60d | [
"Apache-2.0"
] | 2 | 2021-11-09T23:25:01.000Z | 2021-11-10T08:42:22.000Z | build/rules.bzl | filmil/bazel-ebook | 433f1e157c6c1b7867abf72bc0e882c07477d60d | [
"Apache-2.0"
] | 2 | 2020-06-03T13:21:33.000Z | 2021-12-01T20:17:46.000Z | # Copyright (C) 2020 Google Inc.
#
# This file has been licensed under Apache 2.0 license. Please see the LICENSE
# file at the root of the repository.
# Build rules for building ebooks.
# This is the container
CONTAINER = "filipfilmar/ebook-buildenv:1.1"
# Use this for quick local runs.
#CONTAINER = "ebook-builden... | 32.126904 | 103 | 0.599357 |
e0164a1f4fee849a8bca46fb970244ecbfd603fe | 715 | py | Python | 1094 EXPERIENCIAS.py | castrolimoeiro/Uri-exercise | 7a9227c55a79f14fe8bde4aa0ebb4c268bbda4bb | [
"MIT"
] | null | null | null | 1094 EXPERIENCIAS.py | castrolimoeiro/Uri-exercise | 7a9227c55a79f14fe8bde4aa0ebb4c268bbda4bb | [
"MIT"
] | null | null | null | 1094 EXPERIENCIAS.py | castrolimoeiro/Uri-exercise | 7a9227c55a79f14fe8bde4aa0ebb4c268bbda4bb | [
"MIT"
] | null | null | null | n = int(input())
coelho = rato = sapo = contador = 0
for i in range(0, n):
q, t = input().split(' ')
t = t.upper()
q = int(q)
if 1 <= q <= 15:
contador += q
if t == 'C':
coelho += q
elif t == 'R':
rato += q
elif t == 'S':
sapo += q
po... | 25.535714 | 51 | 0.544056 |
e016b94fa3454d62f7b448ca14631899dd78dc4c | 299 | py | Python | gravur/common/amountinput.py | F483/gravur | 575c268d9ac28aa0ba00f1e5109bd74c3b7b69a5 | [
"MIT"
] | 3 | 2015-07-20T17:56:21.000Z | 2017-10-22T05:52:13.000Z | gravur/common/amountinput.py | F483/gravur | 575c268d9ac28aa0ba00f1e5109bd74c3b7b69a5 | [
"MIT"
] | null | null | null | gravur/common/amountinput.py | F483/gravur | 575c268d9ac28aa0ba00f1e5109bd74c3b7b69a5 | [
"MIT"
] | null | null | null | # coding: utf-8
# Copyright (c) 2015 Fabian Barkhau <fabian.barkhau@gmail.com>
# License: MIT (see LICENSE file)
from kivy.uix.boxlayout import BoxLayout
from gravur.common.labelbox import LabelBox # NOQA
from gravur.utils import load_widget
| 21.357143 | 62 | 0.772575 |
e018a8edf8d16988caad3f9660a381b73b1f97c4 | 17,156 | py | Python | tibanna/top.py | 4dn-dcic/tibanna | bb84597c425a481a230be30cb0ed9b99c774e53d | [
"MIT"
] | 62 | 2017-02-16T02:16:22.000Z | 2022-02-07T08:26:12.000Z | tibanna/top.py | 4dn-dcic/tibanna | bb84597c425a481a230be30cb0ed9b99c774e53d | [
"MIT"
] | 77 | 2017-10-26T20:17:35.000Z | 2022-03-25T22:56:32.000Z | tibanna/top.py | 4dn-dcic/tibanna | bb84597c425a481a230be30cb0ed9b99c774e53d | [
"MIT"
] | 19 | 2017-01-27T16:37:37.000Z | 2021-12-12T13:52:01.000Z | import datetime
class Process(object):
| 47.392265 | 148 | 0.6199 |
e01a18c1d0d2ecbc1fcb6159c9f9c87becb0c6cc | 1,458 | py | Python | venv/Lib/site-packages/zmq/tests/test_draft.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 603 | 2020-12-23T13:49:32.000Z | 2022-03-31T23:38:03.000Z | venv/Lib/site-packages/zmq/tests/test_draft.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 387 | 2020-12-15T14:54:04.000Z | 2022-03-31T07:00:21.000Z | venv/Lib/site-packages/zmq/tests/test_draft.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 35 | 2021-03-26T03:12:04.000Z | 2022-03-23T10:15:10.000Z | # -*- coding: utf8 -*-
# Copyright (C) PyZMQ Developers
# Distributed under the terms of the Modified BSD License.
import os
import platform
import time
import pytest
import zmq
from zmq.tests import BaseZMQTestCase, skip_pypy
| 29.16 | 71 | 0.593964 |
e01cbf8a1a1ab981a1d993596c3a332451dcd74d | 367 | py | Python | pythonlibs/mantis/templates/webapp/src/webapp/base.py | adoggie/Tibet.6 | 3c53060edafd80b9c4dafa10699a68d86a410c66 | [
"MIT"
] | 22 | 2019-10-28T07:28:12.000Z | 2022-03-19T15:36:41.000Z | AliceBackend/src/AliceBackend/base.py | adoggie/Tibet.6 | 3c53060edafd80b9c4dafa10699a68d86a410c66 | [
"MIT"
] | 1 | 2019-11-07T04:54:14.000Z | 2019-11-07T07:12:48.000Z | AliceBackend/src/AliceBackend/base.py | adoggie/Tibet.6 | 3c53060edafd80b9c4dafa10699a68d86a410c66 | [
"MIT"
] | 13 | 2019-10-28T07:29:07.000Z | 2021-11-03T06:53:12.000Z | #coding:utf-8
| 24.466667 | 80 | 0.643052 |
e01cd6185b052b2c9153c8eec135e9e3a2cf7572 | 667 | py | Python | base/site-packages/django_qbe/urls.py | edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | [
"Apache-2.0"
] | 285 | 2019-12-23T09:50:21.000Z | 2021-12-08T09:08:49.000Z | base/site-packages/django_qbe/urls.py | jeckun/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | [
"Apache-2.0"
] | null | null | null | base/site-packages/django_qbe/urls.py | jeckun/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | [
"Apache-2.0"
] | 9 | 2019-12-23T12:59:25.000Z | 2022-03-15T05:12:11.000Z | # -*- coding: utf-8 -*-
from django.conf.urls.defaults import patterns, url
from django_qbe.exports import formats
urlpatterns = patterns('django_qbe.views',
url(r'^$', 'qbe_form', name="qbe_form"),
url(r'^js/$', 'qbe_js', name="qbe_js"),
url(r'^results/bookmark/$',
'qbe_bookmark', name="qbe_bookma... | 37.055556 | 73 | 0.611694 |
e01d041f8b5c1564d154529462e58e50b56f4910 | 5,264 | py | Python | augment.py | docongminh/Text-Image-Augmentation-python | da27e8346ce2339f801335923faf7b14e026fd90 | [
"Apache-2.0"
] | 217 | 2020-02-09T07:44:18.000Z | 2022-03-24T03:52:51.000Z | ocraug/augment.py | lzmisscc/Text-Image-Augmentation-python | 12f104452e939444eb0fd4ac96143b78d091845b | [
"Apache-2.0"
] | 5 | 2020-03-23T02:24:33.000Z | 2022-03-13T07:02:04.000Z | ocraug/augment.py | lzmisscc/Text-Image-Augmentation-python | 12f104452e939444eb0fd4ac96143b78d091845b | [
"Apache-2.0"
] | 42 | 2020-02-10T06:42:31.000Z | 2022-03-13T11:54:18.000Z | # -*- coding:utf-8 -*-
# Author: RubanSeven
# import cv2
import numpy as np
# from transform import get_perspective_transform, warp_perspective
from warp_mls import WarpMLS
# def distort(src, segment):
# img_h, img_w = src.shape[:2]
# dst = np.zeros_like(src, dtype=np.uint8)
#
# cut = im... | 33.74359 | 107 | 0.586816 |
e01de102906f7a6f8c39855d08b6adaa53f5663c | 1,347 | py | Python | Graph/print all paths from two vertices in a directed graph.py | ikaushikpal/DS-450-python | 9466f77fb9db9e6a5bb3f20aa89ba6332f49e848 | [
"MIT"
] | 3 | 2021-06-28T12:04:19.000Z | 2021-09-07T07:23:41.000Z | Graph/print all paths from two vertices in a directed graph.py | SupriyoDam/DS-450-python | 5dc21ce61b3279e9bd9d6ef3ad236667227ca283 | [
"MIT"
] | null | null | null | Graph/print all paths from two vertices in a directed graph.py | SupriyoDam/DS-450-python | 5dc21ce61b3279e9bd9d6ef3ad236667227ca283 | [
"MIT"
] | 1 | 2021-06-28T15:42:55.000Z | 2021-06-28T15:42:55.000Z | from collections import defaultdict
if __name__ == "__main__":
g = Graph()
g.addEdge("A", "B")
g.addEdge("B", "D")
g.addEdge("A", "D")
g.addEdge("C", "A")
g.addEdge("C", "B")
g.addEdge("A", "C")
paths = g.printAllPaths("A", "B")
print(paths)
| 28.659574 | 85 | 0.628062 |
e01e00717692398432049be3d51d551f012c222e | 1,958 | py | Python | tests/pipegeojson_test/test_pipegeojson.py | kamyarrasta/berrl | 1cf2ba8194498ec8f80d2908399ad00f1e963d83 | [
"Apache-2.0"
] | 1 | 2016-03-04T18:30:48.000Z | 2016-03-04T18:30:48.000Z | tests/pipegeojson_test/test_pipegeojson.py | kamyarrasta/berrl | 1cf2ba8194498ec8f80d2908399ad00f1e963d83 | [
"Apache-2.0"
] | null | null | null | tests/pipegeojson_test/test_pipegeojson.py | kamyarrasta/berrl | 1cf2ba8194498ec8f80d2908399ad00f1e963d83 | [
"Apache-2.0"
] | null | null | null | # testing the output of pipegeojson against different input types
import berrl as bl
import itertools
# making line with csv file location
line1=bl.make_line('csvs/line_example.csv')
# making line with list
testlist=bl.read('csvs/line_example.csv')
line2=bl.make_line(testlist,list=True)
# testing each line geojson ... | 22.25 | 65 | 0.759959 |
e01f044aab30cbd5165bae297a319d57b579704e | 912 | py | Python | tierpsy/debugging/catch_infinite_loop.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 9 | 2021-01-11T10:49:21.000Z | 2022-02-28T15:48:00.000Z | tierpsy/debugging/catch_infinite_loop.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 18 | 2020-05-08T15:43:08.000Z | 2022-03-23T10:19:24.000Z | tierpsy/debugging/catch_infinite_loop.py | mgh17/tierpsy-tracker | a18c06aa80a5fb22fd51563d82c639b520742777 | [
"MIT"
] | 10 | 2019-12-18T12:10:12.000Z | 2022-01-05T09:12:47.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 8 16:19:07 2017
@author: ajaver
"""
import os
import cv2
import sys
import glob
import threading
from functools import partial
main_dir = '/Volumes/behavgenom_archive$/Celine/raw/'
fnames = glob.glob(os.path.join(main_dir, '**', '*.avi'))
fnames =... | 21.714286 | 71 | 0.663377 |
e0201884251a727105b3a8b3946ca3bc3aefd73d | 480 | py | Python | devito/passes/iet/languages/C.py | guaacoelho/devito | 7e0b873114675752c4a49ed9076ee5d52997833c | [
"MIT"
] | 199 | 2016-08-18T23:33:05.000Z | 2019-12-24T07:08:48.000Z | devito/passes/iet/languages/C.py | guaacoelho/devito | 7e0b873114675752c4a49ed9076ee5d52997833c | [
"MIT"
] | 949 | 2016-04-25T11:41:34.000Z | 2019-12-27T10:43:40.000Z | devito/passes/iet/languages/C.py | guaacoelho/devito | 7e0b873114675752c4a49ed9076ee5d52997833c | [
"MIT"
] | 78 | 2016-08-30T07:42:34.000Z | 2019-12-13T20:34:45.000Z | from devito.ir import Call
from devito.passes.iet.definitions import DataManager
from devito.passes.iet.langbase import LangBB
__all__ = ['CBB', 'CDataManager']
| 21.818182 | 53 | 0.591667 |
e0215d4c222f248ad7105000615a748c88340354 | 2,026 | py | Python | tests/_test_image.py | Freakwill/ell | 8aa510cefb5d63db35071820208971013fac154c | [
"MIT"
] | null | null | null | tests/_test_image.py | Freakwill/ell | 8aa510cefb5d63db35071820208971013fac154c | [
"MIT"
] | null | null | null | tests/_test_image.py | Freakwill/ell | 8aa510cefb5d63db35071820208971013fac154c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Test methods about image process
Make sure the existance of the images
"""
from ell import *
import numpy as np
_filter = Filter.from_name('db4')
| 28.535211 | 109 | 0.605133 |
e02439282d17416800f4bfd8e050f404bc4d7706 | 5,991 | py | Python | donkeycar/parts/pytorch/torch_data.py | adricl/donkeycar | 8eb2705ed4161c0d6a9cfd9c7b0a1c0ca5abaeef | [
"MIT"
] | 1,100 | 2017-01-18T16:08:33.000Z | 2018-11-04T00:42:54.000Z | donkeycar/parts/pytorch/torch_data.py | adricl/donkeycar | 8eb2705ed4161c0d6a9cfd9c7b0a1c0ca5abaeef | [
"MIT"
] | 199 | 2016-12-20T07:45:16.000Z | 2018-11-01T02:30:12.000Z | donkeycar/parts/pytorch/torch_data.py | adricl/donkeycar | 8eb2705ed4161c0d6a9cfd9c7b0a1c0ca5abaeef | [
"MIT"
] | 521 | 2017-01-10T21:53:24.000Z | 2018-11-01T18:17:52.000Z | # PyTorch
import torch
from torch.utils.data import IterableDataset, DataLoader
from donkeycar.utils import train_test_split
from donkeycar.parts.tub_v2 import Tub
from torchvision import transforms
from typing import List, Any
from donkeycar.pipeline.types import TubRecord, TubDataset
from donkeycar.pipeline.sequence ... | 37.21118 | 95 | 0.633951 |
e0251d7f1fc5a3340792a778c923482bb49bcf13 | 316 | py | Python | lite/__init__.py | CleverInsight/sparx-lite | 1b729e8d11292e9737d57e092ee8916999ab1338 | [
"MIT"
] | null | null | null | lite/__init__.py | CleverInsight/sparx-lite | 1b729e8d11292e9737d57e092ee8916999ab1338 | [
"MIT"
] | null | null | null | lite/__init__.py | CleverInsight/sparx-lite | 1b729e8d11292e9737d57e092ee8916999ab1338 | [
"MIT"
] | null | null | null | import os
from tornado.template import Template
__SNIPPET__ = os.path.join(os.path.dirname(os.path.abspath(__file__)), '_snippet')
| 31.6 | 86 | 0.686709 |
e025cd2fbcd0226b08e7474394109f24f199f13c | 3,857 | py | Python | homeassistant/components/sensor/hddtemp.py | mdonoughe/home-assistant | d9805160bc787146bff0c434fdcab995716f0f8c | [
"Apache-2.0"
] | 2 | 2020-02-20T18:47:55.000Z | 2021-11-09T11:33:28.000Z | homeassistant/components/sensor/hddtemp.py | mdonoughe/home-assistant | d9805160bc787146bff0c434fdcab995716f0f8c | [
"Apache-2.0"
] | 1 | 2021-02-08T20:56:06.000Z | 2021-02-08T20:56:06.000Z | homeassistant/components/sensor/hddtemp.py | diophung/home-assistant | a5aa1118937702ca8bec050614ee52dc14f8466b | [
"Apache-2.0"
] | 1 | 2020-11-21T09:37:47.000Z | 2020-11-21T09:37:47.000Z | """
Support for getting the disk temperature of a host.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.hddtemp/
"""
import logging
from datetime import timedelta
from telnetlib import Telnet
import voluptuous as vol
import homeassistant.helpers.... | 29.219697 | 79 | 0.637283 |
e026ba13c5f7c12090e3dee6c5f9a4f65eca3bb7 | 1,402 | py | Python | boomer.py | JohnnySn0w/BabbleBot | 03a383b063e4f28049f27f8ec669f22767ed8a87 | [
"MIT"
] | 1 | 2019-07-07T01:46:55.000Z | 2019-07-07T01:46:55.000Z | boomer.py | JohnnySn0w/BabbleBot | 03a383b063e4f28049f27f8ec669f22767ed8a87 | [
"MIT"
] | 1 | 2019-07-26T18:34:02.000Z | 2019-07-26T18:34:02.000Z | boomer.py | JohnnySn0w/BabbleBot | 03a383b063e4f28049f27f8ec669f22767ed8a87 | [
"MIT"
] | 1 | 2020-05-10T01:27:48.000Z | 2020-05-10T01:27:48.000Z | import random
prefix = [
'Look at you! ',
'Bless ',
'Bless! ',
'I heard about that! ',
'Amen!',
'You and the kids doing alright?',
'Miss ya\'ll!'
]
suffix = [
'. Amen!',
'. God bless america',
'. God bless!',
' haha',
'. love ya!',
'. love ya\'ll!',
]
| 23.366667 | 76 | 0.53067 |
e026dd61a71f4c0236cf71cd04ff440228426371 | 1,303 | py | Python | bot/views.py | eyobofficial/COVID-19-Mutual-Aid | 42d30ce95b0e9c717c5eda3ecaafea2812ec34f7 | [
"MIT"
] | null | null | null | bot/views.py | eyobofficial/COVID-19-Mutual-Aid | 42d30ce95b0e9c717c5eda3ecaafea2812ec34f7 | [
"MIT"
] | 5 | 2020-03-19T17:49:50.000Z | 2021-06-10T20:06:14.000Z | bot/views.py | eyobofficial/COVID-19-Mutual-Aid | 42d30ce95b0e9c717c5eda3ecaafea2812ec34f7 | [
"MIT"
] | null | null | null | import telegram
from django.conf import settings
from django.shortcuts import redirect
from django.utils.decorators import method_decorator
from django.views.generic import View
from django.views.decorators.csrf import csrf_exempt
from braces.views import CsrfExemptMixin
from rest_framework.authentication import Bas... | 29.613636 | 61 | 0.692249 |
e026df5666a9c260f8a2d313e1edc3eee3cad4f7 | 9,053 | py | Python | code/counterfactual_generative_networks-main/imagenet/train_cgn.py | dummyxyz1/re_counterfactual_generative | 4dda8e17a1123a564d60be82c17e9589155fb2e2 | [
"MIT"
] | null | null | null | code/counterfactual_generative_networks-main/imagenet/train_cgn.py | dummyxyz1/re_counterfactual_generative | 4dda8e17a1123a564d60be82c17e9589155fb2e2 | [
"MIT"
] | null | null | null | code/counterfactual_generative_networks-main/imagenet/train_cgn.py | dummyxyz1/re_counterfactual_generative | 4dda8e17a1123a564d60be82c17e9589155fb2e2 | [
"MIT"
] | null | null | null | import os
from datetime import datetime
from os.path import join
import pathlib
from tqdm import tqdm
import argparse
import torch
from torch import nn, optim
from torch.autograd import Variable
import torchvision
from torchvision.transforms import Pad
from torchvision.utils import make_grid
import repackage
repackage... | 37.720833 | 98 | 0.629515 |