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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6872e6802247502095c67e090c8829c461de73f4 | 6,773 | py | Python | Sudoku/norvig_solver.py | ancientHacker/sudoku-generator | a1b395cef2cc699951e17e56fc699df83309d5e1 | [
"MIT"
] | 4 | 2020-03-29T20:10:52.000Z | 2021-01-04T07:46:21.000Z | Sudoku/norvig_solver.py | ancientHacker/sudoku-generator | a1b395cef2cc699951e17e56fc699df83309d5e1 | [
"MIT"
] | null | null | null | Sudoku/norvig_solver.py | ancientHacker/sudoku-generator | a1b395cef2cc699951e17e56fc699df83309d5e1 | [
"MIT"
] | 6 | 2019-07-05T14:54:42.000Z | 2022-01-28T10:34:05.000Z | # MIT License
#
# Copyright (c) 2019 Daniel Brotsky
#
# Portions copyright (c) 2017 by Peter Norvig and Naoki Shibuya
# (See https://towardsdatascience.com/peter-norvigs-sudoku-solver-25779bb349ce)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documen... | 47.363636 | 104 | 0.630297 |
6873156e99d844af13d6d77379f2ea3cbcc2572b | 1,442 | py | Python | deserialize/decorators/default.py | KrzysztofSajko/deserialize | f9192cfc9913003c7362d0ae246e3475e78690d8 | [
"MIT"
] | 18 | 2019-06-27T12:08:36.000Z | 2022-03-11T03:36:50.000Z | deserialize/decorators/default.py | KrzysztofSajko/deserialize | f9192cfc9913003c7362d0ae246e3475e78690d8 | [
"MIT"
] | 19 | 2019-01-05T16:52:28.000Z | 2021-11-12T12:17:42.000Z | deserialize/decorators/default.py | KrzysztofSajko/deserialize | f9192cfc9913003c7362d0ae246e3475e78690d8 | [
"MIT"
] | 5 | 2019-06-26T13:41:44.000Z | 2021-11-02T17:03:38.000Z | """Decorators used for adding functionality to the library."""
from deserialize.exceptions import NoDefaultSpecifiedException
def default(key_name, default_value):
"""A decorator function for mapping default values to key names."""
def store_defaults_map(class_reference):
"""Store the defaults map."... | 30.680851 | 78 | 0.751734 |
68777c8ef19f2208020f8f076d6002af81ebebd7 | 3,608 | py | Python | doc/source/notebooks/regression.py | codelover-without-talent/GPflow | 1af7b1ca7da6687974150a1440d821a106b2159d | [
"Apache-2.0"
] | 1 | 2018-08-22T06:34:59.000Z | 2018-08-22T06:34:59.000Z | doc/source/notebooks/regression.py | codelover-without-talent/GPflow | 1af7b1ca7da6687974150a1440d821a106b2159d | [
"Apache-2.0"
] | null | null | null | doc/source/notebooks/regression.py | codelover-without-talent/GPflow | 1af7b1ca7da6687974150a1440d821a106b2159d | [
"Apache-2.0"
] | 2 | 2019-03-09T11:46:11.000Z | 2021-12-20T10:22:34.000Z | from matplotlib import pyplot as plt
import gpflow
import tensorflow as tf
import os
import numpy as np
import cProfile
# build a very simple data set:
if __name__ == '__main__':
runExperiments()
#cProfile.run('runExperiments(plotting=False)')
| 29.818182 | 96 | 0.641075 |
6878add955a141a4910a16b4698b123a6f9a5ed7 | 29,160 | py | Python | agnosia_tools/pointcloud.py | adurdin/agnosia-blender | addef1a0cb555c22186f7059b2da257fd74cc83d | [
"MIT"
] | null | null | null | agnosia_tools/pointcloud.py | adurdin/agnosia-blender | addef1a0cb555c22186f7059b2da257fd74cc83d | [
"MIT"
] | null | null | null | agnosia_tools/pointcloud.py | adurdin/agnosia-blender | addef1a0cb555c22186f7059b2da257fd74cc83d | [
"MIT"
] | null | null | null | import bpy
import bmesh
import base64
import math
import mathutils
import random
import struct
import zlib
from array import array
from itertools import islice
from bpy.props import IntProperty, PointerProperty, StringProperty
from bpy.types import Object, Operator, Panel, PropertyGroup
from mathutils import Vector
fr... | 32.986425 | 117 | 0.5881 |
6878bc63f5a5d101c27062d6aecd9e1581e3ee6e | 335 | py | Python | database/__init__.py | eddycheong/skeleton-flask-sqlalchemy | 117e4cac0bf4d912f9546e2aeac77bccc2b7e3c0 | [
"MIT"
] | null | null | null | database/__init__.py | eddycheong/skeleton-flask-sqlalchemy | 117e4cac0bf4d912f9546e2aeac77bccc2b7e3c0 | [
"MIT"
] | null | null | null | database/__init__.py | eddycheong/skeleton-flask-sqlalchemy | 117e4cac0bf4d912f9546e2aeac77bccc2b7e3c0 | [
"MIT"
] | null | null | null | import configparser
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
config = configparser.ConfigParser()
config.read('alembic.ini')
connection_url = config['alembic']['sqlalchemy.url']
Engine = create_engine(connection_url, connect_args={'check_same_thread': False})
Session = sessionmaker... | 27.916667 | 81 | 0.81194 |
6879269c1812f94d1e6cc9bd8f13c7d884e2c991 | 4,682 | py | Python | wlauto/workloads/octaned8/__init__.py | joesavage/workload-automation | 3a863fa14369d9bf1f20f82eb5ab4582499c6b99 | [
"Apache-2.0"
] | 5 | 2016-04-27T13:51:12.000Z | 2016-06-23T12:38:14.000Z | wlauto/workloads/octaned8/__init__.py | joesavage/workload-automation | 3a863fa14369d9bf1f20f82eb5ab4582499c6b99 | [
"Apache-2.0"
] | 110 | 2016-05-05T19:13:26.000Z | 2017-01-20T16:18:02.000Z | wlauto/workloads/octaned8/__init__.py | joesavage/workload-automation | 3a863fa14369d9bf1f20f82eb5ab4582499c6b99 | [
"Apache-2.0"
] | 1 | 2016-04-27T15:18:55.000Z | 2016-04-27T15:18:55.000Z | # Copyright 2014-2016 ARM Limited
#
# 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 w... | 40.362069 | 121 | 0.650577 |
6879a284797d76bfbb26fa832ed9b1a3cdbb362e | 11,872 | py | Python | mrplot/modules/design/variable_design.py | enzofabricio/mrplot | 45e865241ea6ed7a4e524cbcbac54b75f2976696 | [
"MIT"
] | null | null | null | mrplot/modules/design/variable_design.py | enzofabricio/mrplot | 45e865241ea6ed7a4e524cbcbac54b75f2976696 | [
"MIT"
] | null | null | null | mrplot/modules/design/variable_design.py | enzofabricio/mrplot | 45e865241ea6ed7a4e524cbcbac54b75f2976696 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'variable_design.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
if __name__ == "__main__":
import sys
app = QtWidg... | 54.962963 | 105 | 0.685057 |
687a1f3c513c197ca73d029ec4ca40557a75d7df | 2,597 | py | Python | 4-2/TextMining/Class_/week7/LanguageModelWithN_gram.py | define16/Class | 8b0771a348b2bcb19ba338ebff94326828a293ea | [
"Apache-2.0"
] | null | null | null | 4-2/TextMining/Class_/week7/LanguageModelWithN_gram.py | define16/Class | 8b0771a348b2bcb19ba338ebff94326828a293ea | [
"Apache-2.0"
] | null | null | null | 4-2/TextMining/Class_/week7/LanguageModelWithN_gram.py | define16/Class | 8b0771a348b2bcb19ba338ebff94326828a293ea | [
"Apache-2.0"
] | null | null | null | '''
n-gram ,
n
.
'''
# Step 1 : Bag of Words
from nltk.corpus import reuters
from collections import Counter, defaultdict
counts = Counter(reuters.words())
total_count = len(reuters.words())
# 20
print(counts.most_common(n=20))
#
for word in counts:
counts[word] /= float(total_count)... | 23.609091 | 72 | 0.628032 |
687be2e6d6e71a7b227db867acdd0430e68a8454 | 1,977 | py | Python | testing/composite.py | aheadley/pynemap | f2aa373e7c43755ce73c0a60110b609018cd2dcb | [
"MIT"
] | 6 | 2015-10-15T08:28:19.000Z | 2021-11-17T23:02:02.000Z | testing/composite.py | aheadley/pynemap | f2aa373e7c43755ce73c0a60110b609018cd2dcb | [
"MIT"
] | null | null | null | testing/composite.py | aheadley/pynemap | f2aa373e7c43755ce73c0a60110b609018cd2dcb | [
"MIT"
] | null | null | null | #!/usr/bin/python
import numpy
if __name__ == '__main__':
a = (120,120,120,255)
b = (117,176,73,255)
c = (134,96,67,255)
d = (38,92,255,100)
e = (0,0,0,0)
print overlay_pixel(a,e)
print (a[0] * a[3]) / 255 + ((e[0] * e[3]) * (255 - a[3])) / 255 ** 2 | 35.303571 | 92 | 0.494689 |
687d1421e017adb345f125a4ddfc5d44f177f7ca | 10,139 | py | Python | util.py | tudat-team/webservices-dispatch-action | 6ed60ab2046e8541c8e09e5a94bedc9673dcc4f9 | [
"MIT"
] | null | null | null | util.py | tudat-team/webservices-dispatch-action | 6ed60ab2046e8541c8e09e5a94bedc9673dcc4f9 | [
"MIT"
] | null | null | null | util.py | tudat-team/webservices-dispatch-action | 6ed60ab2046e8541c8e09e5a94bedc9673dcc4f9 | [
"MIT"
] | null | null | null | import os
import requests
import urllib3.util.retry
import logging
import subprocess
import re
import pprint
from datetime import datetime, timedelta
import pygit2
from github import Github
from github.GithubException import UnknownObjectException
# Create logger with logging level set to all
LOGGER = logging.getLogg... | 34.604096 | 148 | 0.624223 |
687da6b0eb4b67490262b063fd83e99351f1851c | 1,538 | py | Python | ptxt/journal/models.py | mvasilkov/scrapheap | 53e30b88879ab8e4d80867b0ec7fa631ce46e55e | [
"MIT"
] | 2 | 2021-11-29T13:51:27.000Z | 2021-12-12T14:59:42.000Z | ptxt/journal/models.py | mvasilkov/scrapheap | 53e30b88879ab8e4d80867b0ec7fa631ce46e55e | [
"MIT"
] | null | null | null | ptxt/journal/models.py | mvasilkov/scrapheap | 53e30b88879ab8e4d80867b0ec7fa631ce46e55e | [
"MIT"
] | null | null | null | from django.core.validators import MinLengthValidator
from django.contrib.auth.models import User
from django.contrib.auth.validators import UnicodeUsernameValidator
from django.db import models
from django.db.models.signals import pre_save
from django.dispatch import receiver
from django.utils.encoding import iri_to_u... | 34.954545 | 94 | 0.755527 |
687e76240c6372225f7e38483f2cc12aea5247cb | 611 | py | Python | autocomplete/survey.py | converj/reasonSurvey | dd40784da4b07cfeb9fd873bab820d627cb026c1 | [
"Apache-2.0"
] | null | null | null | autocomplete/survey.py | converj/reasonSurvey | dd40784da4b07cfeb9fd873bab820d627cb026c1 | [
"Apache-2.0"
] | null | null | null | autocomplete/survey.py | converj/reasonSurvey | dd40784da4b07cfeb9fd873bab820d627cb026c1 | [
"Apache-2.0"
] | null | null | null | # Import external modules.
from google.appengine.ext import ndb
import logging
# Import local modules.
from configAutocomplete import const as conf
from constants import Constants
| 27.772727 | 77 | 0.747954 |
688059ffe96ee1e3cfd3aaf09375c53be6410286 | 50 | py | Python | app/__init__.py | SLB974/GrandPyBot-dev | 7a0268d4ffa58c37eed37253c6afb00874dbabe4 | [
"MIT"
] | null | null | null | app/__init__.py | SLB974/GrandPyBot-dev | 7a0268d4ffa58c37eed37253c6afb00874dbabe4 | [
"MIT"
] | null | null | null | app/__init__.py | SLB974/GrandPyBot-dev | 7a0268d4ffa58c37eed37253c6afb00874dbabe4 | [
"MIT"
] | null | null | null | from flask import Flask
from app.views import app
| 16.666667 | 25 | 0.82 |
6880d63fbc74e65ed6cf0cc2590cb8b33e1d322f | 394 | py | Python | wavenetlike/examples/analyzer_example.py | redwrasse/wavenetlike | ce15d58eafe03437ee485532ea3b43580e1895a9 | [
"MIT"
] | null | null | null | wavenetlike/examples/analyzer_example.py | redwrasse/wavenetlike | ce15d58eafe03437ee485532ea3b43580e1895a9 | [
"MIT"
] | 17 | 2020-12-10T19:50:39.000Z | 2021-07-29T03:19:42.000Z | wavenetlike/examples/analyzer_example.py | redwrasse/wavenetlike | ce15d58eafe03437ee485532ea3b43580e1895a9 | [
"MIT"
] | null | null | null | from wavenetlike.analyzers import DatasetAnalyzer
from wavenetlike.datasetid import TorchAudioDataSetId
if __name__ == "__main__":
analyzer_example()
| 26.266667 | 54 | 0.78934 |
688159bdf8610b835edab2ced8f2deeade5b818b | 498 | py | Python | accounts/models.py | asandeep/pseudo-electronics | 2ce9f03a43c917448bfc340f8011eaf4bac159da | [
"MIT"
] | null | null | null | accounts/models.py | asandeep/pseudo-electronics | 2ce9f03a43c917448bfc340f8011eaf4bac159da | [
"MIT"
] | null | null | null | accounts/models.py | asandeep/pseudo-electronics | 2ce9f03a43c917448bfc340f8011eaf4bac159da | [
"MIT"
] | null | null | null | from django.contrib.auth import models as auth_models
from django.db import models
from django.urls import reverse
| 33.2 | 72 | 0.740964 |
688316b56cd53635e3fbd2f9611352d74bf1174a | 3,623 | py | Python | pytorch_trainmodel/pytorch_train.py | hoangcaobao/projectube-nlp | b0471b1626b241082eac3b7a30cacf54b9668375 | [
"MIT"
] | 5 | 2021-09-16T15:05:20.000Z | 2022-02-04T00:39:12.000Z | pytorch_trainmodel/pytorch_train.py | hoangcaobao/projectube-sentiment-analysis | b0471b1626b241082eac3b7a30cacf54b9668375 | [
"MIT"
] | null | null | null | pytorch_trainmodel/pytorch_train.py | hoangcaobao/projectube-sentiment-analysis | b0471b1626b241082eac3b7a30cacf54b9668375 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import torch
import torch.nn as nn
from pytorch_model import *
from pytorch_clean import *
from sklearn.metrics import classification_report
from torch.optim import optimizer
from transformers import AutoModel, AutoTokenizer
from vncorenlp import VnCoreNLP
from vncorenlp.vncorenlp... | 29.696721 | 100 | 0.743031 |
68855b61bab7f85695a5b52312067872e87f33fd | 295 | py | Python | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | 1 | 2020-04-24T06:09:44.000Z | 2020-04-24T06:09:44.000Z | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | null | null | null | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | null | null | null | # test builtin sorted
try:
sorted
set
except:
import sys
print("SKIP")
sys.exit()
print(sorted(set(range(100))))
print(sorted(set(range(100)), key=lambda x: x + 100*(x % 2)))
# need to use keyword argument
try:
sorted([], None)
except TypeError:
print("TypeError")
| 16.388889 | 61 | 0.630508 |
6885709e154f6ae3d0952842e393c4c290d87e3b | 643 | py | Python | addons/mendeley/tests/test_serializer.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | addons/mendeley/tests/test_serializer.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | addons/mendeley/tests/test_serializer.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | # -*- coding: utf-8 -*-
"""Serializer tests for the Mendeley addon."""
import pytest
from addons.base.tests.serializers import CitationAddonSerializerTestSuiteMixin
from addons.base.tests.utils import MockFolder
from addons.mendeley.tests.factories import MendeleyAccountFactory
from addons.mendeley.serializer import M... | 30.619048 | 81 | 0.819596 |
688600d6cad34394de4e5a48da1144fe75003447 | 465 | py | Python | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | from app import run_migration
from flask import current_app as app
from flask_testing import TestCase
from project import db
| 22.142857 | 63 | 0.692473 |
688701927338303df5deb153d6634d0b60ce9445 | 956 | py | Python | models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 8daac40289b591b88aa0658c531df15c92792d23 | [
"CC0-1.0"
] | null | null | null | models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 8daac40289b591b88aa0658c531df15c92792d23 | [
"CC0-1.0"
] | null | null | null | models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 8daac40289b591b88aa0658c531df15c92792d23 | [
"CC0-1.0"
] | null | null | null | """
N layers optimistic neural network
"""
import torch
| 28.969697 | 66 | 0.585774 |
68880d2a92cdd46241a4f5ad354ad532bcf2dac3 | 630 | py | Python | helper/trap.py | shivaroast/AidenBot | 6b6463d48baec55d5df707d31d0fd6f7ed77a345 | [
"MIT"
] | null | null | null | helper/trap.py | shivaroast/AidenBot | 6b6463d48baec55d5df707d31d0fd6f7ed77a345 | [
"MIT"
] | null | null | null | helper/trap.py | shivaroast/AidenBot | 6b6463d48baec55d5df707d31d0fd6f7ed77a345 | [
"MIT"
] | null | null | null | '''
?
(c) 2018 - laymonage
'''
import os
import random
import requests
from .dropson import dbx_dl, get_json
def surprise(safe=False):
'''
?
'''
cat_api = 'http://thecatapi.com/api/images/get'
prev_url = requests.get(cat_api)
prev_url = prev_url.url.replace('http://', 'https://')
if safe... | 21.724138 | 63 | 0.633333 |
68881d8d1f87bdfd089d83ddb17e5dd84d4f78de | 11,019 | py | Python | defaulter.py | tipabu/swift_defaulter | fd72f5652fd7ab766dcef73c41fcbfa9a6e0e368 | [
"Apache-2.0"
] | 4 | 2015-08-12T19:47:05.000Z | 2017-08-25T06:04:27.000Z | defaulter.py | tipabu/swift_defaulter | fd72f5652fd7ab766dcef73c41fcbfa9a6e0e368 | [
"Apache-2.0"
] | null | null | null | defaulter.py | tipabu/swift_defaulter | fd72f5652fd7ab766dcef73c41fcbfa9a6e0e368 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015-2016 Tim Burke
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 36.486755 | 79 | 0.63808 |
688966ef062d193a314e93a1d3dc28aa32628e39 | 42,873 | py | Python | src/sage/coding/information_set_decoder.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | 1,742 | 2015-01-04T07:06:13.000Z | 2022-03-30T11:32:52.000Z | src/sage/coding/information_set_decoder.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | 66 | 2015-03-19T19:17:24.000Z | 2022-03-16T11:59:30.000Z | src/sage/coding/information_set_decoder.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | 495 | 2015-01-10T10:23:18.000Z | 2022-03-24T22:06:11.000Z | # -*- coding: utf-8 -*-
r"""
Information-set decoding for linear codes
Information-set decoding is a probabilistic decoding strategy that
essentially tries to guess `k` correct positions in the received word,
where `k` is the dimension of the code. A codeword agreeing with the
received word on the guessed position can... | 42.197835 | 211 | 0.606746 |
6889889d0c9df269b34f5ffdec65275a1517a339 | 3,380 | py | Python | satelitedl/__init__.py | RyosukeDTomita/satelite-dl | f205adb9f97b67b8375147f6c9320a6742e032b0 | [
"MIT"
] | null | null | null | satelitedl/__init__.py | RyosukeDTomita/satelite-dl | f205adb9f97b67b8375147f6c9320a6742e032b0 | [
"MIT"
] | null | null | null | satelitedl/__init__.py | RyosukeDTomita/satelite-dl | f205adb9f97b67b8375147f6c9320a6742e032b0 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Usage: python3 -m satelitedl --date 19900101
Authore: Ryosuke Tomita
Date: 2021/11/02
"""
import os
from os.path import abspath, dirname, join
from datetime import datetime
from typing import Union
from .options import parse_args
from .scrapeimg import ScrapingImg
def judge_date_type(date: str) ->... | 25.413534 | 68 | 0.601479 |
688d68c26f6147245edb5881ed9bf81be6cc0b77 | 602 | py | Python | ostrawling/event/particle.py | JacobRawling/OstrawlingMC | d87c12c8502a12c150ece0eac0fbe2c829062f6e | [
"MIT"
] | null | null | null | ostrawling/event/particle.py | JacobRawling/OstrawlingMC | d87c12c8502a12c150ece0eac0fbe2c829062f6e | [
"MIT"
] | null | null | null | ostrawling/event/particle.py | JacobRawling/OstrawlingMC | d87c12c8502a12c150ece0eac0fbe2c829062f6e | [
"MIT"
] | null | null | null | from .four_momentum import FourMomentum
| 24.08 | 54 | 0.528239 |
688e64a4f428342bad4484cacd07ec145d18e8f0 | 2,572 | py | Python | src/icolos/core/workflow_steps/gromacs/genion.py | jharrymoore/Icolos | c60cc00c34208ab7011d41d52a74651763673e7a | [
"Apache-2.0"
] | null | null | null | src/icolos/core/workflow_steps/gromacs/genion.py | jharrymoore/Icolos | c60cc00c34208ab7011d41d52a74651763673e7a | [
"Apache-2.0"
] | null | null | null | src/icolos/core/workflow_steps/gromacs/genion.py | jharrymoore/Icolos | c60cc00c34208ab7011d41d52a74651763673e7a | [
"Apache-2.0"
] | null | null | null | from icolos.utils.enums.step_enums import StepBaseEnum, StepGromacsEnum
from icolos.utils.enums.program_parameters import GromacsEnum
from icolos.core.workflow_steps.gromacs.base import StepGromacsBase
from icolos.utils.execute_external.gromacs import GromacsExecutor
from pydantic import BaseModel
from icolos.core.work... | 36.742857 | 88 | 0.641524 |
688e6a6789ccea72d0b875d4cb59a3a4a8aed53b | 6,811 | py | Python | mayo/session/train.py | deep-fry/mayo | 7211a11fdb9bb0a036d496a3eba16c96db122f89 | [
"MIT"
] | 110 | 2018-06-07T17:52:29.000Z | 2022-03-28T08:04:02.000Z | mayo/session/train.py | kypomon/mayo | 7211a11fdb9bb0a036d496a3eba16c96db122f89 | [
"MIT"
] | 6 | 2019-10-17T12:00:29.000Z | 2021-10-21T13:41:22.000Z | mayo/session/train.py | kypomon/mayo | 7211a11fdb9bb0a036d496a3eba16c96db122f89 | [
"MIT"
] | 22 | 2018-07-05T01:30:49.000Z | 2021-10-19T06:15:40.000Z | import math
import tensorflow as tf
from mayo.log import log
from mayo.util import (
Percent, memoize_method, memoize_property, object_from_params)
from mayo.session.base import SessionBase
| 38.698864 | 79 | 0.616356 |
688f82d913086422926e43ef0486a06096928207 | 570 | py | Python | lazysignup/utils.py | yoccodog/django-lazysignup | 18d273b97083c8e2a21e54bf326f41c0b4e231fb | [
"BSD-3-Clause"
] | null | null | null | lazysignup/utils.py | yoccodog/django-lazysignup | 18d273b97083c8e2a21e54bf326f41c0b4e231fb | [
"BSD-3-Clause"
] | null | null | null | lazysignup/utils.py | yoccodog/django-lazysignup | 18d273b97083c8e2a21e54bf326f41c0b4e231fb | [
"BSD-3-Clause"
] | 1 | 2018-06-22T13:07:34.000Z | 2018-06-22T13:07:34.000Z | def is_lazy_user(user):
""" Return True if the passed user is a lazy user. """
# Anonymous users are not lazy.
if user.is_anonymous:
return False
# Check the user backend. If the lazy signup backend
# authenticated them, then the user is lazy.
backend = getattr(user, 'backend', None)
... | 33.529412 | 63 | 0.685965 |
688fe87882b842c1041f5df8b971fea0174982fb | 2,753 | py | Python | md/obs-tntq_md2md.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 6 | 2015-07-27T21:50:39.000Z | 2020-06-25T14:32:35.000Z | md/obs-tntq_md2md.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 89 | 2015-06-24T09:35:40.000Z | 2022-02-13T14:40:31.000Z | md/obs-tntq_md2md.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 12 | 2015-07-13T17:31:04.000Z | 2021-08-06T06:50:21.000Z | # -*- coding: utf-8 -*-
# This script copies a directory of OBS-tQ or OBS-tN markdown files to a second location.
# It cleans up the files in these ways:
# Ensures blank lines surrounding markdown headers.
# Fixes links of this form [[:en:...]]
# Removes leading spaces.
# Global variables
source_dir = r'C:\DC... | 34.848101 | 90 | 0.658918 |
688feb8d7e8fef2bae057b526cc5ad3bba5366d4 | 2,620 | py | Python | hw10_conine/thomas.py | gconine88/MATH_6204 | ecff4ecd3ae423c113d8259fe24b76b4a67de6ea | [
"MIT"
] | null | null | null | hw10_conine/thomas.py | gconine88/MATH_6204 | ecff4ecd3ae423c113d8259fe24b76b4a67de6ea | [
"MIT"
] | null | null | null | hw10_conine/thomas.py | gconine88/MATH_6204 | ecff4ecd3ae423c113d8259fe24b76b4a67de6ea | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 20 23:06:49 2017
@author: Grant
An implementation of the Thomas algorithm in Python, using just-in-time
compiling from numba for additional speed
"""
import numpy as np
from numba import njit, f8
def solve(A, d):
'''Helper function for Thomas algorit... | 30.465116 | 82 | 0.591603 |
68907c9f56a7dff7255659e5fac49a90b9c790a1 | 1,444 | py | Python | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | 1 | 2020-10-05T18:02:24.000Z | 2020-10-05T18:02:24.000Z | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator_django | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | 207 | 2020-01-30T19:17:44.000Z | 2021-02-24T19:45:29.000Z | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator_django | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | null | null | null | from base64 import b64encode
import pytest
| 32.088889 | 75 | 0.702216 |
68914268f5d91c6c327ee9480e17e743af2a3790 | 9,445 | py | Python | vnpy/app/cta_strategy/strategies/tsmyo_polyfit_strategy.py | TheSuperMyo/vnpy | e38b7f4de879f1756aa664d5dfe7e0bec65c9a1b | [
"MIT"
] | null | null | null | vnpy/app/cta_strategy/strategies/tsmyo_polyfit_strategy.py | TheSuperMyo/vnpy | e38b7f4de879f1756aa664d5dfe7e0bec65c9a1b | [
"MIT"
] | null | null | null | vnpy/app/cta_strategy/strategies/tsmyo_polyfit_strategy.py | TheSuperMyo/vnpy | e38b7f4de879f1756aa664d5dfe7e0bec65c9a1b | [
"MIT"
] | null | null | null | from datetime import time
from vnpy.app.cta_strategy import (
CtaTemplate,
StopOrder,
TickData,
BarData,
TradeData,
OrderData,
BarGenerator,
ArrayManager
)
from vnpy.app.cta_strategy.base import (
EngineType,
STOPORDER_PREFIX,
StopOrder,
StopOrderStatus,
)
from vnpy.app.c... | 32.457045 | 138 | 0.565061 |
689273e3976328d8791057987bb0cd4e006aacad | 4,757 | py | Python | run.py | GpNico/KernelMethods_MVA_Kaggle | c6c083301977ca765557680f1e724a5d0322ef13 | [
"MIT"
] | null | null | null | run.py | GpNico/KernelMethods_MVA_Kaggle | c6c083301977ca765557680f1e724a5d0322ef13 | [
"MIT"
] | null | null | null | run.py | GpNico/KernelMethods_MVA_Kaggle | c6c083301977ca765557680f1e724a5d0322ef13 | [
"MIT"
] | null | null | null | # run.py
"""
Script for running a specific pipeline from a given yaml config file
"""
import os
import argparse
import yaml
from importlib import import_module
import numpy as np
import time
import pandas as pd
def import_from_path(path_to_module, obj_name = None):
"""
Import an object from a module based o... | 35.766917 | 101 | 0.596384 |
689285cf22e54c3ba6df2bb206502e17fb240035 | 1,970 | py | Python | alien_invasion.py | shtiyu/biubiubiu | ebb41a14d4fd14cfc2a27a01af755713e084c4b3 | [
"MIT"
] | 3 | 2018-11-22T11:31:47.000Z | 2022-02-22T06:29:59.000Z | alien_invasion.py | shtiyu/biubiubiu | ebb41a14d4fd14cfc2a27a01af755713e084c4b3 | [
"MIT"
] | null | null | null | alien_invasion.py | shtiyu/biubiubiu | ebb41a14d4fd14cfc2a27a01af755713e084c4b3 | [
"MIT"
] | null | null | null | import pygame
from pygame.sprite import Group
from button import Button
from game_stats import GameStats
from settings import Settings
from ship import Ship
from scoreboard import Scoreboard
import game_funcitons as gf
run_game() | 28.970588 | 128 | 0.664975 |
6892e2003fc1c2b7ef39326cbcdfaa61a234e1ef | 185 | py | Python | insights_messaging/downloaders/localfs.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 6 | 2019-12-12T14:19:30.000Z | 2020-04-08T16:20:04.000Z | insights_messaging/downloaders/localfs.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 14 | 2020-01-27T17:04:39.000Z | 2021-03-16T15:18:30.000Z | insights_messaging/downloaders/localfs.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 13 | 2019-12-16T09:32:38.000Z | 2021-05-05T12:39:38.000Z | import os
from contextlib import contextmanager
| 18.5 | 56 | 0.686486 |
68943b195cd6c1b43741489cbceaa66e3ae51918 | 3,542 | py | Python | tests/test_utilities/test_manifest_parser.py | QualiSystems/DevBox | 9a1807006bc93727970068d586764e9dccda94ec | [
"Apache-1.1"
] | null | null | null | tests/test_utilities/test_manifest_parser.py | QualiSystems/DevBox | 9a1807006bc93727970068d586764e9dccda94ec | [
"Apache-1.1"
] | null | null | null | tests/test_utilities/test_manifest_parser.py | QualiSystems/DevBox | 9a1807006bc93727970068d586764e9dccda94ec | [
"Apache-1.1"
] | null | null | null | import os
from pyfakefs import fake_filesystem_unittest
from devbox.utilities.manifest_parser import ManifestParser
| 30.016949 | 100 | 0.593732 |
68960b586f20c8d621871e22f1d973112cd25522 | 2,140 | py | Python | messages.py | Pyprohly/batch-bot | 0163fa75d4b6b2408a7504429d1b8662b13dded9 | [
"MIT"
] | null | null | null | messages.py | Pyprohly/batch-bot | 0163fa75d4b6b2408a7504429d1b8662b13dded9 | [
"MIT"
] | null | null | null | messages.py | Pyprohly/batch-bot | 0163fa75d4b6b2408a7504429d1b8662b13dded9 | [
"MIT"
] | null | null | null |
from enum import Enum, auto
from string import Template
messages = MessageRegister()
| 27.792208 | 201 | 0.730841 |
6896c0545b2d4f8acba5f99caf7c1f5b8e3c596c | 91 | py | Python | siem_integrations/clx_query_service/clxquery/apps.py | mdemoret-nv/clx | 3737706187d8f5720561e10b85cbd638c77b9267 | [
"Apache-2.0"
] | 143 | 2019-11-06T16:08:50.000Z | 2022-03-22T12:14:59.000Z | siem_integrations/clx_query_service/clxquery/apps.py | mdemoret-nv/clx | 3737706187d8f5720561e10b85cbd638c77b9267 | [
"Apache-2.0"
] | 361 | 2019-11-06T20:33:24.000Z | 2022-03-31T19:59:12.000Z | siem_integrations/clx_query_service/clxquery/apps.py | mdemoret-nv/clx | 3737706187d8f5720561e10b85cbd638c77b9267 | [
"Apache-2.0"
] | 82 | 2019-11-06T17:36:42.000Z | 2022-03-17T07:03:04.000Z | from django.apps import AppConfig
| 15.166667 | 33 | 0.758242 |
6897023917e0a55a0e08c289c8451ac380c0fbaa | 5,254 | py | Python | tests/test_code_vasp.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 67 | 2015-01-31T07:44:55.000Z | 2022-03-21T21:43:34.000Z | tests/test_code_vasp.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 13 | 2016-06-03T19:07:51.000Z | 2022-03-31T04:20:40.000Z | tests/test_code_vasp.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 37 | 2015-01-22T15:37:23.000Z | 2022-03-21T15:38:10.000Z | import os
import shutil
import pychemia
import tempfile
import unittest
| 39.208955 | 113 | 0.621622 |
6897d0617b652b4190982ab2f26f229b87c68973 | 7,048 | py | Python | generateResources.py | shisi1/libVulpes | 15ec3cab2cdea076cf777da811d783f58ec7f36f | [
"MIT"
] | null | null | null | generateResources.py | shisi1/libVulpes | 15ec3cab2cdea076cf777da811d783f58ec7f36f | [
"MIT"
] | null | null | null | generateResources.py | shisi1/libVulpes | 15ec3cab2cdea076cf777da811d783f58ec7f36f | [
"MIT"
] | 2 | 2021-11-29T18:16:46.000Z | 2021-12-16T16:35:59.000Z | import os
materials = [Material("dilithium", 0xddcecb, ("DUST", "GEM")),
Material("iron", 0xafafaf, ("SHEET", "STICK", "DUST", "PLATE")),
Material("gold", 0xffff5d, ("DUST", "COIL", "PLATE")),
Material("silicon", 0x2c2c2b, ("INGOT", "DUST", "BOULE", "NUGGET", "PLATE")),
Material("copper", 0xd55e28, ("ORE", "COIL", "B... | 41.458824 | 209 | 0.610528 |
68989bd20a742e1b1f652b4df8e618dc746273a5 | 89,471 | py | Python | SOGM-3D-2D-Net/slam/dev_slam.py | liuxinren456852/Deep-Collison-Checker | 1d96415fd865361e22a6f25547707c47628dcfbe | [
"MIT"
] | 7 | 2021-09-09T15:03:36.000Z | 2022-03-15T16:33:33.000Z | SOGM-3D-2D-Net/slam/dev_slam.py | liuxinren456852/Deep-Collison-Checker | 1d96415fd865361e22a6f25547707c47628dcfbe | [
"MIT"
] | null | null | null | SOGM-3D-2D-Net/slam/dev_slam.py | liuxinren456852/Deep-Collison-Checker | 1d96415fd865361e22a6f25547707c47628dcfbe | [
"MIT"
] | 1 | 2021-09-10T01:46:50.000Z | 2021-09-10T01:46:50.000Z | #
#
# 0=================================0
# | Kernel Point Convolutions |
# 0=================================0
#
#
# ----------------------------------------------------------------------------------------------------------------------
#
# Class handling SemanticKitti dataset.
# ... | 35.141791 | 121 | 0.499156 |
68998d2ad54cd9bef2834023dae463b6fbec5d90 | 1,128 | py | Python | src/3-all_together/parse_vectors.py | bt3gl/Tool-NetClean_Complex_Networks_Data_Cleanser | 312f4fe2a080b75550e353a55ebf5b03d4d9c9a1 | [
"MIT"
] | 5 | 2015-04-14T04:09:40.000Z | 2018-05-18T21:57:21.000Z | src/3-all_together/parse_vectors.py | aquario-crypto/NetClean-Complex_Networks_Data_Cleanser | 312f4fe2a080b75550e353a55ebf5b03d4d9c9a1 | [
"MIT"
] | null | null | null | src/3-all_together/parse_vectors.py | aquario-crypto/NetClean-Complex_Networks_Data_Cleanser | 312f4fe2a080b75550e353a55ebf5b03d4d9c9a1 | [
"MIT"
] | 4 | 2015-04-14T04:11:28.000Z | 2019-07-12T03:47:30.000Z | #!/usr/bin/env python
__author__ = "Mari Wahl"
__copyright__ = "Copyright 2014, The Cogent Project"
__credits__ = ["Mari Wahl"]
__license__ = "GPL"
__version__ = "2.0"
__maintainer__ = "Mari Wahl"
__email__ = "marina.w4hl@gmail.com"
import os
from constants import SUBFOLDERS, FEATURES
if __name__ == '__m... | 21.692308 | 61 | 0.625 |
6899ddd456696f5f8cbff28853c9ebc19f43f8ce | 18,361 | py | Python | monitoring/tests/unit/gapic/v3/test_service_monitoring_service_client_v3.py | q-logic/google-cloud-python | a65065c89c059bc564bbdd79288a48970907c399 | [
"Apache-2.0"
] | null | null | null | monitoring/tests/unit/gapic/v3/test_service_monitoring_service_client_v3.py | q-logic/google-cloud-python | a65065c89c059bc564bbdd79288a48970907c399 | [
"Apache-2.0"
] | 40 | 2019-07-16T10:04:48.000Z | 2020-01-20T09:04:59.000Z | monitoring/tests/unit/gapic/v3/test_service_monitoring_service_client_v3.py | q-logic/google-cloud-python | a65065c89c059bc564bbdd79288a48970907c399 | [
"Apache-2.0"
] | 2 | 2019-07-18T00:05:31.000Z | 2019-11-27T14:17:22.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 38.093361 | 88 | 0.680954 |
689b058710ba7e2e873901967ce4945aab966125 | 294 | py | Python | bin/ripple/util/Database.py | tdfischer/rippled | 399c43cae6e90a428e9ce6a988123972b0f03c99 | [
"BSL-1.0"
] | 89 | 2015-04-23T20:24:58.000Z | 2022-03-20T12:35:30.000Z | bin/ripple/util/Database.py | tdfischer/rippled | 399c43cae6e90a428e9ce6a988123972b0f03c99 | [
"BSL-1.0"
] | 14 | 2020-05-25T15:42:18.000Z | 2022-03-20T12:44:56.000Z | bin/ripple/util/Database.py | tdfischer/rippled | 399c43cae6e90a428e9ce6a988123972b0f03c99 | [
"BSL-1.0"
] | 41 | 2015-01-19T05:26:34.000Z | 2022-02-23T03:47:39.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
import sqlite3
| 22.615385 | 82 | 0.697279 |
689c35abc62fa1170e0db4a74ec9011f9d0a466c | 1,775 | py | Python | backend/utils/__init__.py | szkkteam/agrosys | a390332202f7200632d2ff3816e1b0f3cc76f586 | [
"MIT"
] | null | null | null | backend/utils/__init__.py | szkkteam/agrosys | a390332202f7200632d2ff3816e1b0f3cc76f586 | [
"MIT"
] | null | null | null | backend/utils/__init__.py | szkkteam/agrosys | a390332202f7200632d2ff3816e1b0f3cc76f586 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Common Python library imports
import re
import unicodedata
# Pip package imports
from flask_sqlalchemy.model import camel_to_snake_case
from flask import current_app
from itsdangerous import URLSafeSerializer, BadData
from loguru import logger
# Internal package import... | 27.307692 | 100 | 0.654085 |
689c565289e0ab67922c34bd175bd019c149cc51 | 3,028 | py | Python | aadi/roi_heads.py | WanXiaopei/aadi | 08a7399b3dcfab716cc7b80a88201fc47186ffd3 | [
"MIT"
] | 4 | 2021-06-01T02:46:21.000Z | 2022-01-11T03:02:36.000Z | aadi/roi_heads.py | WanXiaopei/aadi | 08a7399b3dcfab716cc7b80a88201fc47186ffd3 | [
"MIT"
] | null | null | null | aadi/roi_heads.py | WanXiaopei/aadi | 08a7399b3dcfab716cc7b80a88201fc47186ffd3 | [
"MIT"
] | null | null | null | from typing import List
import torch
from detectron2.structures import ImageList, Boxes, Instances, pairwise_iou
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.roi_heads import ROI_HEADS_REGISTRY, StandardROIHeads
from detectron2.modeling.roi_heads.cascade_rcnn import CascadeR... | 40.373333 | 88 | 0.674042 |
689ca4570dd678af10ee1eb645c837983c0d78c1 | 350 | py | Python | TF/tensorflow--tutorial/tf.contrib.data.py | STHSF/DeepLearning | af91fced5af87f69915bb2674229d5f6461f553d | [
"MIT"
] | 6 | 2016-09-13T05:50:05.000Z | 2020-01-03T06:34:53.000Z | TF/tensorflow--tutorial/tf.contrib.data.py | STHSF/DeepLearning | af91fced5af87f69915bb2674229d5f6461f553d | [
"MIT"
] | null | null | null | TF/tensorflow--tutorial/tf.contrib.data.py | STHSF/DeepLearning | af91fced5af87f69915bb2674229d5f6461f553d | [
"MIT"
] | 6 | 2016-09-28T02:55:35.000Z | 2019-05-31T02:51:43.000Z | # coding=utf-8
# tensorflow tf.contrib.data api test
import tensorflow as tf
# file path
filename = ''
batch_size = 100
aa = (tf.contrib.data.TextLineDataset(filename)
.map((lambda line: tf.decode_csv(line, record_defaults=[['1'], ['1'], ['1']], field_delim='\t')))
.shuffle(buffer_size=1000)
.bat... | 18.421053 | 103 | 0.651429 |
689cd75c21771ffe0186b10faeb2d7cc34833c06 | 1,333 | py | Python | 哥伦布(STM32F407)/4.拓展实验/3.音频播放/01-物理按键版/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | 73 | 2020-05-02T13:48:27.000Z | 2022-03-26T13:15:10.000Z | 哥伦布(STM32F407)/4.拓展实验/3.音频播放/01-物理按键版/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | null | null | null | 哥伦布(STM32F407)/4.拓展实验/3.音频播放/01-物理按键版/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | 50 | 2020-05-15T13:57:28.000Z | 2022-03-30T14:03:33.000Z | '''
v1.0
2020.12
01Studio
MP3/WAV
'''
#
import audio,time
from pyb import Switch
from machine import Pin
#
wm=audio.WM8978()
vol = 80 #80
######################
# USR
######################
play_flag = 0
sw =Switch()
sw.callback(music_play)
######################
# A0
######################
VOL_U = Pin('A0',Pi... | 15.147727 | 55 | 0.523631 |
689f3d8878428c818087147e65c24430b3c5c043 | 942 | py | Python | mir_navigation/nodes/min_max_finder.py | xneomac/mir_robot | 0041b41bb661d32a34c266d0535acf1c78cf61b9 | [
"BSD-3-Clause"
] | 3 | 2020-07-31T05:15:59.000Z | 2020-11-30T03:49:43.000Z | mir_navigation/nodes/min_max_finder.py | xneomac/mir_robot | 0041b41bb661d32a34c266d0535acf1c78cf61b9 | [
"BSD-3-Clause"
] | null | null | null | mir_navigation/nodes/min_max_finder.py | xneomac/mir_robot | 0041b41bb661d32a34c266d0535acf1c78cf61b9 | [
"BSD-3-Clause"
] | 9 | 2019-09-17T21:18:01.000Z | 2021-04-21T11:28:24.000Z | #!/usr/bin/env python
import rospy
from nav_msgs.msg import Odometry
lin_min = 0.0
lin_max = 0.0
ang_min = 0.0
ang_max = 0.0
if __name__ == '__main__':
main()
| 26.166667 | 109 | 0.663482 |
68a03991604ba0d78b82b80d7e17b446d2af4cc2 | 5,076 | py | Python | classes.py | cheng-zeng35/lyricsync | 19a4dde9eee543b822a93f9ccf613252dc1ad067 | [
"MIT"
] | null | null | null | classes.py | cheng-zeng35/lyricsync | 19a4dde9eee543b822a93f9ccf613252dc1ad067 | [
"MIT"
] | null | null | null | classes.py | cheng-zeng35/lyricsync | 19a4dde9eee543b822a93f9ccf613252dc1ad067 | [
"MIT"
] | null | null | null | # this file is to store all custom classes
import tkinter as tk
# class to store tkinter window properties
# font: tk font dictionary {family, size, weight, slant, underline, overstrike}
# font color: string
# nrows: the number of rows of lyric displayed (integer greater than 0)
# width: window width (int greater tha... | 45.72973 | 120 | 0.656816 |
68a37f7b4dbe79a75b57e0f1d831de618aa2079e | 563 | py | Python | test/unit/unittest_utils/utility.py | tsungjui/fusionline | 26d5d41e82ac83822ba41df1cd14c54afa112655 | [
"CC-BY-3.0"
] | 1 | 2019-11-03T11:45:43.000Z | 2019-11-03T11:45:43.000Z | test/unit/unittest_utils/utility.py | tsungjui/fusionline | 26d5d41e82ac83822ba41df1cd14c54afa112655 | [
"CC-BY-3.0"
] | 4 | 2017-05-24T19:36:34.000Z | 2019-08-23T02:49:18.000Z | test/unit/unittest_utils/utility.py | abretaud/galaxy | 1ad89511540e6800cd2d0da5d878c1c77d8ccfe9 | [
"CC-BY-3.0"
] | null | null | null | """
Unit test utilities.
"""
import textwrap
def clean_multiline_string( multiline_string, sep='\n' ):
"""
Dedent, split, remove first and last empty lines, rejoin.
"""
multiline_string = textwrap.dedent( multiline_string )
string_list = multiline_string.split( sep )
if not string_list[0]:
... | 23.458333 | 61 | 0.641208 |
68a4b52bb7b1fdaa9592b0d8a5eb274cac1c955e | 1,387 | py | Python | tests/test_chunk_messages.py | UncleGoogle/galaxy-integrations-python-api | 49ae2beab9cc48e55d7a5e90e39d43789fb823db | [
"MIT"
] | null | null | null | tests/test_chunk_messages.py | UncleGoogle/galaxy-integrations-python-api | 49ae2beab9cc48e55d7a5e90e39d43789fb823db | [
"MIT"
] | null | null | null | tests/test_chunk_messages.py | UncleGoogle/galaxy-integrations-python-api | 49ae2beab9cc48e55d7a5e90e39d43789fb823db | [
"MIT"
] | null | null | null | import asyncio
import json
| 25.218182 | 83 | 0.522711 |
68a4f3241cf1bad984e99e344329235393aad6ba | 2,731 | py | Python | test/Crawler/Fs/Image/ImageCrawlerTest.py | paulondc/chilopoda | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | [
"MIT"
] | 2 | 2019-09-24T18:56:27.000Z | 2021-02-07T04:58:49.000Z | test/Crawler/Fs/Image/ImageCrawlerTest.py | paulondc/kombi | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | [
"MIT"
] | 20 | 2019-02-16T04:21:13.000Z | 2019-03-09T21:21:21.000Z | test/Crawler/Fs/Image/ImageCrawlerTest.py | paulondc/kombi | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | [
"MIT"
] | 3 | 2019-11-15T05:16:32.000Z | 2021-09-28T21:28:29.000Z | import os
import unittest
from ....BaseTestCase import BaseTestCase
from kombi.Crawler import Crawler
from kombi.Crawler.Fs.Image import ImageCrawler
from kombi.Crawler.PathHolder import PathHolder
if __name__ == "__main__":
unittest.main()
| 36.905405 | 89 | 0.677774 |
68a865bda85a4ed7b4aebbb6e21920d35b0aaa7a | 3,688 | py | Python | test/test_websocket_server.py | markkorput/pyRemoteParams | b96cc3d694f5715af40cf71865e7c2f550897a81 | [
"MIT"
] | null | null | null | test/test_websocket_server.py | markkorput/pyRemoteParams | b96cc3d694f5715af40cf71865e7c2f550897a81 | [
"MIT"
] | 2 | 2020-03-13T07:14:36.000Z | 2020-05-22T09:54:08.000Z | test/test_websocket_server.py | markkorput/pyRemoteParams | b96cc3d694f5715af40cf71865e7c2f550897a81 | [
"MIT"
] | null | null | null |
#!/usr/bin/env python
import unittest, asyncio, asynctest, websockets, json
from remote_params import HttpServer, Params, Server, Remote, create_sync_params, schema_list
from remote_params.WebsocketServer import WebsocketServer
# run just the tests in this file
if __name__ == '__main__':
unittest.main()
| 31.521368 | 94 | 0.699024 |
68a90bb15946847753f138179d4f2bda0c5abd53 | 3,592 | py | Python | analyzer/com_classfiction.py | mt-group-1/social-react | 8b3b75b08c595c99ab61da3c76b4916a524f75b0 | [
"MIT"
] | null | null | null | analyzer/com_classfiction.py | mt-group-1/social-react | 8b3b75b08c595c99ab61da3c76b4916a524f75b0 | [
"MIT"
] | 4 | 2021-11-08T20:48:42.000Z | 2021-11-11T21:38:16.000Z | analyzer/com_classfiction.py | mt-group-1/social-react | 8b3b75b08c595c99ab61da3c76b4916a524f75b0 | [
"MIT"
] | null | null | null | import warnings
import pandas as pd
from nltk.sentiment.vader import SentimentIntensityAnalyzer
warnings.filterwarnings("ignore")
def classify_comments(text_file, page_name):
"""
Description:
This function recives a text file and convert it into csv file to enable to label the comments inside that file, ... | 32.654545 | 249 | 0.584633 |
68aaa854df265e745f3f5094661f5862c8bd4125 | 846 | py | Python | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | 2 | 2021-01-06T19:38:25.000Z | 2022-01-25T10:00:20.000Z | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | 1 | 2021-01-04T10:44:12.000Z | 2021-01-04T10:44:12.000Z | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | null | null | null | import pytest
| 32.538462 | 93 | 0.795508 |
68aff5ecfb731da2cc7a3de58df5147f26f41df7 | 346 | py | Python | Example/facenet_example.py | generalized-intelligence/Tegu | 99394f62f2acdeed9e985685811e76f94ab7ac11 | [
"BSD-3-Clause"
] | 11 | 2019-01-29T07:01:38.000Z | 2021-07-28T06:25:49.000Z | Example/facenet_example.py | generalized-intelligence/Tegu | 99394f62f2acdeed9e985685811e76f94ab7ac11 | [
"BSD-3-Clause"
] | 23 | 2019-02-18T13:35:09.000Z | 2022-03-11T23:42:11.000Z | Example/facenet_example.py | generalized-intelligence/Tegu | 99394f62f2acdeed9e985685811e76f94ab7ac11 | [
"BSD-3-Clause"
] | 3 | 2019-02-12T08:09:45.000Z | 2019-06-06T02:28:55.000Z | import sys
sys.path.append('..')
from Network.facenet.API import build_face_manager, detetion_and_recongnize
'''
You have to build face manager before you start detection and recongnize.
'''
face_manager = build_face_manager(r"face/dataset/path")
result = detetion_and_recongnize(face_manager, r"images/path/you/want/... | 28.833333 | 81 | 0.794798 |
68b43353f299ef2ed5654c73d7e6db582ed331bb | 132 | py | Python | src/clarityv2/homepage/urls.py | Clarity-89/clarityv2 | 7c4af765c5473778fc0750d1505f8b5f1724e5c5 | [
"MIT"
] | null | null | null | src/clarityv2/homepage/urls.py | Clarity-89/clarityv2 | 7c4af765c5473778fc0750d1505f8b5f1724e5c5 | [
"MIT"
] | 1 | 2022-03-11T23:38:16.000Z | 2022-03-11T23:38:16.000Z | src/clarityv2/homepage/urls.py | Clarity-89/clarityv2 | 7c4af765c5473778fc0750d1505f8b5f1724e5c5 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import HomepageView
urlpatterns = [
path('', HomepageView.as_view(), name='home'),
]
| 16.5 | 50 | 0.704545 |
68b51c475fa96363f2601bbdb5efa8957c5f2363 | 5,394 | py | Python | kolibri/plugins/utils/options.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 545 | 2016-01-19T19:26:55.000Z | 2022-03-20T00:13:04.000Z | kolibri/plugins/utils/options.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 8,329 | 2016-01-19T19:32:02.000Z | 2022-03-31T21:23:12.000Z | kolibri/plugins/utils/options.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 493 | 2016-01-19T19:26:48.000Z | 2022-03-28T14:35:05.000Z | import copy
import logging
import warnings
from kolibri.plugins.registry import registered_plugins
logger = logging.getLogger(__name__)
| 40.253731 | 119 | 0.616982 |
68b5318b5c1be79ea4655397f748e0742a2d9190 | 2,909 | py | Python | utils.py | yzhhome/seq2seq_chatbot | 2dd135da0d390c19b48cd72dfe19d6b32f698e03 | [
"MIT"
] | null | null | null | utils.py | yzhhome/seq2seq_chatbot | 2dd135da0d390c19b48cd72dfe19d6b32f698e03 | [
"MIT"
] | null | null | null | utils.py | yzhhome/seq2seq_chatbot | 2dd135da0d390c19b48cd72dfe19d6b32f698e03 | [
"MIT"
] | null | null | null | from io import open
import time
import math
import torch
import torch.nn.functional as F
from config import MAX_LENGTH
from config import SOS_token
from config import EOS_token
from config import device
#index
#tensor
#index
| 28.80198 | 77 | 0.644208 |
68b5fc5d2f892e35cab73d5c07f10d1ff89a7241 | 1,941 | py | Python | src/archive-comments-lambda/main.py | knotsrepus/knotsrepus-archiver | 68384f24c6b8c3a45c39ac9720e10c26c1512279 | [
"Apache-2.0"
] | 1 | 2021-07-17T07:56:46.000Z | 2021-07-17T07:56:46.000Z | src/archive-comments-lambda/main.py | knotsrepus/knotsrepus-archiver | 68384f24c6b8c3a45c39ac9720e10c26c1512279 | [
"Apache-2.0"
] | null | null | null | src/archive-comments-lambda/main.py | knotsrepus/knotsrepus-archiver | 68384f24c6b8c3a45c39ac9720e10c26c1512279 | [
"Apache-2.0"
] | null | null | null | import asyncio
import json
import os
from datetime import datetime
from src.common import log_utils, pushshift
from src.common.filesystem import S3FileSystem, StubFileSystem
from src.common.lambda_context import local_lambda_invocation
if __name__ == "__main__":
with open("event.json", "r") as file:
... | 26.958333 | 97 | 0.703246 |
68b67bfa73f83b95f8183d1aa57786bce152b7a4 | 11,578 | py | Python | cpc/criterion/clustering/clustering_quantization.py | anuragkumar95/CPC_audio | c771d07bb1cac4df947496813a4d07fd95e53f7f | [
"MIT"
] | 6 | 2021-04-27T06:19:15.000Z | 2021-11-04T20:22:46.000Z | cpc/criterion/clustering/clustering_quantization.py | anuragkumar95/CPC_audio | c771d07bb1cac4df947496813a4d07fd95e53f7f | [
"MIT"
] | 7 | 2021-02-05T11:40:54.000Z | 2021-04-06T12:45:54.000Z | cpc/criterion/clustering/clustering_quantization.py | anuragkumar95/CPC_audio | c771d07bb1cac4df947496813a4d07fd95e53f7f | [
"MIT"
] | 5 | 2021-04-29T06:45:00.000Z | 2021-11-23T19:51:02.000Z | import os
import sys
import json
import argparse
import progressbar
from pathlib import Path
from random import shuffle
from time import time
import torch
from cpc.dataset import findAllSeqs
from cpc.feature_loader import buildFeature, FeatureModule, loadModel, buildFeature_batch
from cpc.criterion.clustering import kM... | 43.040892 | 139 | 0.608568 |
d799c19014a1b79f5fe8a1069ce05224e3482da3 | 1,591 | py | Python | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | null | null | null | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | 378 | 2021-03-25T20:09:54.000Z | 2021-10-01T01:02:39.000Z | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | 2 | 2019-08-09T18:04:54.000Z | 2019-08-11T19:03:06.000Z | # Copyright 2017-2019 EPAM Systems, Inc. (https://www.epam.com/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 32.469388 | 125 | 0.715273 |
d79a0e50ffc39bcabbef42ae425c1e746935ff84 | 4,140 | py | Python | setup.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | setup.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | setup.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | import glob
import os
import os.path
import sys
import shutil
import cPickle
from types import StringType, UnicodeType
from distutils.core import setup
from distutils.extension import Extension
from distutils.command.install import install
PY3K = sys.version_info[0] > 2
with open('README.rst') as inp:
long_descr... | 35.689655 | 79 | 0.587923 |
d79a69ca5970bcc43c73bbe72a7d4bd0d0841c39 | 491 | py | Python | rabbitai/migrations/versions/d7c1a0d6f2da_remove_limit_used_from_query_model.py | psbsgic/rabbitai | 769e120ba605d56ac076f810a549c38dac410c8e | [
"Apache-2.0"
] | null | null | null | rabbitai/migrations/versions/d7c1a0d6f2da_remove_limit_used_from_query_model.py | psbsgic/rabbitai | 769e120ba605d56ac076f810a549c38dac410c8e | [
"Apache-2.0"
] | null | null | null | rabbitai/migrations/versions/d7c1a0d6f2da_remove_limit_used_from_query_model.py | psbsgic/rabbitai | 769e120ba605d56ac076f810a549c38dac410c8e | [
"Apache-2.0"
] | 1 | 2021-07-09T16:29:50.000Z | 2021-07-09T16:29:50.000Z | """Remove limit used from query model
Revision ID: d7c1a0d6f2da
Revises: afc69274c25a
Create Date: 2019-06-04 10:12:36.675369
"""
# revision identifiers, used by Alembic.
revision = "d7c1a0d6f2da"
down_revision = "afc69274c25a"
import sqlalchemy as sa
from alembic import op
| 20.458333 | 80 | 0.735234 |
d79a6a449f7e90756102071f66e54f7f316037df | 13,393 | py | Python | realworld_benchmark/nets/eig_layer.py | DomInvivo/pna | 1a7d8ae645d093ebedeffcf148a98f6061957a23 | [
"MIT"
] | null | null | null | realworld_benchmark/nets/eig_layer.py | DomInvivo/pna | 1a7d8ae645d093ebedeffcf148a98f6061957a23 | [
"MIT"
] | null | null | null | realworld_benchmark/nets/eig_layer.py | DomInvivo/pna | 1a7d8ae645d093ebedeffcf148a98f6061957a23 | [
"MIT"
] | 2 | 2020-11-05T15:34:23.000Z | 2020-12-17T17:44:48.000Z | EPS = 1e-5
import threading
import torch
import torch.nn as nn
import torch.nn.functional as F
from .aggregators import AGGREGATORS
from .layers import MLP, FCLayer
from .scalers import SCALERS
def __repr__(self):
return '{}(in_channels={}, out_channels={})'.format(self.__class__.__name__, self.in_d... | 37.099723 | 199 | 0.605615 |
d79aca613972336652669e46aaf23dbcf659d8b3 | 3,553 | py | Python | NLPEngine/utils/nlp_config.py | hmi-digital/bot_platform | 91a26e566b07fa309774d0333a6bccf3d64cccc5 | [
"MIT"
] | null | null | null | NLPEngine/utils/nlp_config.py | hmi-digital/bot_platform | 91a26e566b07fa309774d0333a6bccf3d64cccc5 | [
"MIT"
] | null | null | null | NLPEngine/utils/nlp_config.py | hmi-digital/bot_platform | 91a26e566b07fa309774d0333a6bccf3d64cccc5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import json
import hashlib
from warnings import simplefilter
from utils import log_util
# ignore all warnings
simplefilter(action='ignore')
##Global parameters
scriptDir = os.path.dirname(__file__)
dataPath = os.path.join(scriptDir, '..', 'training_data', 'intents')
propertyFile =... | 28.653226 | 102 | 0.633268 |
d79b4bcbf6a110684a6330158716bc8642e8c218 | 641 | py | Python | flow/core/gcp_credentials.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | null | null | null | flow/core/gcp_credentials.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | 1 | 2016-10-03T18:48:15.000Z | 2019-11-01T21:53:30.000Z | flow/core/gcp_credentials.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | 1 | 2019-11-02T00:45:26.000Z | 2019-11-02T00:45:26.000Z | import io
import json
from google.auth import compute_engine
from google.oauth2 import service_account
| 35.611111 | 93 | 0.75195 |
d79b6b0b33508785a7ea10e66bc23630bb1ac265 | 4,218 | py | Python | main.py | tremor6916/sakugabooru-bot | c9e226699e97201dfa1937638adfd30f70d8cbf9 | [
"MIT"
] | 1 | 2021-08-16T14:47:19.000Z | 2021-08-16T14:47:19.000Z | main.py | tremor6916/sakugabooru-bot | c9e226699e97201dfa1937638adfd30f70d8cbf9 | [
"MIT"
] | 2 | 2021-08-12T13:18:50.000Z | 2021-08-14T07:01:28.000Z | main.py | tremor6916/sakugabooru-bot | c9e226699e97201dfa1937638adfd30f70d8cbf9 | [
"MIT"
] | null | null | null | import requests
import tweepy
import random
import time
import os
import bs4
from bs4 import BeautifulSoup
from pybooru import Moebooru
siteurl='https://www.sakugabooru.com/post/show/'
header = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/53... | 35.745763 | 170 | 0.628497 |
d79bfd3dab6cfcc04ef37c5a0243968c7e22addb | 491 | py | Python | demos/template/src/urls.py | akornatskyy/wheezy.web | 417834db697cf1f78f3a60cc880b9fd25d40c6de | [
"MIT"
] | 17 | 2020-08-29T18:45:51.000Z | 2022-03-02T19:37:13.000Z | demos/template/src/urls.py | akornatskyy/wheezy.web | 417834db697cf1f78f3a60cc880b9fd25d40c6de | [
"MIT"
] | 29 | 2020-07-18T04:34:03.000Z | 2021-07-06T09:42:36.000Z | demos/template/src/urls.py | akornatskyy/wheezy.web | 417834db697cf1f78f3a60cc880b9fd25d40c6de | [
"MIT"
] | 1 | 2022-03-14T08:41:42.000Z | 2022-03-14T08:41:42.000Z | """
"""
from membership.web.urls import membership_urls
from public.web.urls import error_urls, public_urls, static_urls
from public.web.views import home
from wheezy.routing import url
locale_pattern = "{locale:(en|ru)}/"
locale_defaults = {"locale": "en"}
locale_urls = public_urls + membership_urls
locale_urls.app... | 25.842105 | 64 | 0.747454 |
d79c181f52cc059ca3916a4f670fd6822c3c776d | 5,571 | py | Python | olmm.py | wesselb/olmm | 367d69a4a646083d6b3f6ffd1963aeb2b7816ef9 | [
"MIT"
] | 2 | 2020-09-01T17:09:23.000Z | 2021-08-21T12:19:19.000Z | olmm.py | wesselb/olmm | 367d69a4a646083d6b3f6ffd1963aeb2b7816ef9 | [
"MIT"
] | null | null | null | olmm.py | wesselb/olmm | 367d69a4a646083d6b3f6ffd1963aeb2b7816ef9 | [
"MIT"
] | 2 | 2019-11-04T17:38:43.000Z | 2021-08-21T12:19:20.000Z | from stheno import (
B, # Linear algebra backend
Graph, # Graph that keep track of the graphical model
GP, # Gaussian process
EQ, # Squared-exponential kernel
Matern12, # Matern-1/2 kernel
Matern52, # Matern-5/2 kernel
Delta, # Noise kernel
Normal, # Gaussian distribution
Dia... | 32.578947 | 76 | 0.605277 |
d79c63266fd7ef84a044820de7a71feb3ff446ff | 1,995 | py | Python | tests/molecular/molecules/utilities/building_block.py | andrewtarzia/stk | 1ac2ecbb5c9940fe49ce04cbf5603fd7538c475a | [
"MIT"
] | 21 | 2018-04-12T16:25:24.000Z | 2022-02-14T23:05:43.000Z | tests/molecular/molecules/utilities/building_block.py | JelfsMaterialsGroup/stk | 0d3e1b0207aa6fa4d4d5ee8dfe3a29561abb08a2 | [
"MIT"
] | 8 | 2019-03-19T12:36:36.000Z | 2020-11-11T12:46:00.000Z | tests/molecular/molecules/utilities/building_block.py | supramolecular-toolkit/stk | 0d3e1b0207aa6fa4d4d5ee8dfe3a29561abb08a2 | [
"MIT"
] | 5 | 2018-08-07T13:00:16.000Z | 2021-11-01T00:55:10.000Z | import itertools as it
from tests.utilities import (
is_equivalent_atom,
is_equivalent_molecule,
)
| 28.913043 | 69 | 0.736341 |
d79c6838f09a05f79a094ede5cbcfc88762b1778 | 36 | py | Python | pydeps/__main__.py | miketheman/pydeps | 907a1a29cc0e04ad3698a812082775ccf39b6479 | [
"BSD-2-Clause"
] | 981 | 2015-07-08T15:55:30.000Z | 2022-03-31T08:53:30.000Z | pydeps/__main__.py | miketheman/pydeps | 907a1a29cc0e04ad3698a812082775ccf39b6479 | [
"BSD-2-Clause"
] | 129 | 2016-09-03T16:51:52.000Z | 2022-03-19T23:07:50.000Z | pydeps/__main__.py | miketheman/pydeps | 907a1a29cc0e04ad3698a812082775ccf39b6479 | [
"BSD-2-Clause"
] | 88 | 2015-03-24T03:25:54.000Z | 2022-03-24T07:35:02.000Z | from .pydeps import pydeps
pydeps()
| 12 | 26 | 0.777778 |
d79dec81c3204981b242083307d7250e99c10afb | 271 | py | Python | fileInfo.py | Jiaoma/fileStr | f400f607c7ab6923b36ffdda4e6eccdbc12c32cd | [
"MIT"
] | null | null | null | fileInfo.py | Jiaoma/fileStr | f400f607c7ab6923b36ffdda4e6eccdbc12c32cd | [
"MIT"
] | null | null | null | fileInfo.py | Jiaoma/fileStr | f400f607c7ab6923b36ffdda4e6eccdbc12c32cd | [
"MIT"
] | null | null | null | from os import listdir
from os.path import join
import os, errno
| 19.357143 | 38 | 0.649446 |
d79e215cb8f499e47e5107fabf650f63a2a2ff52 | 305 | py | Python | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | #coding:utf-8
import re
import math
from docclass import Classifier
if __name__ == "__main__":
test_infc_func()
| 15.25 | 36 | 0.629508 |
d79e31449a493b9c8402aeee5862015258d4756b | 8,560 | py | Python | libs/hermes/hermes.cloudbreak/hermes/cloudbreak/kubernetes/base.py | KAGRA-TW-ML/gw-iaas | 3f4ff0fef16d39b75615b80fedf106a8dd4f846d | [
"MIT"
] | 2 | 2021-12-21T22:34:30.000Z | 2021-12-22T01:26:57.000Z | libs/hermes/hermes.cloudbreak/hermes/cloudbreak/kubernetes/base.py | KAGRA-TW-ML/gw-iaas | 3f4ff0fef16d39b75615b80fedf106a8dd4f846d | [
"MIT"
] | 3 | 2021-11-09T21:38:26.000Z | 2022-02-26T20:44:31.000Z | libs/hermes/hermes.cloudbreak/hermes/cloudbreak/kubernetes/base.py | KAGRA-TW-ML/gw-iaas | 3f4ff0fef16d39b75615b80fedf106a8dd4f846d | [
"MIT"
] | 3 | 2021-08-07T17:19:10.000Z | 2022-02-11T02:00:38.000Z | import abc
import time
from dataclasses import dataclass
from functools import partial
from typing import TYPE_CHECKING
import kubernetes
from kubernetes.utils.create_from_yaml import FailToCreateError
from urllib3.exceptions import MaxRetryError
from hermes.cloudbreak.utils import snakeify, wait_for
if TYPE_CHECKIN... | 30.140845 | 79 | 0.573248 |
d79fcf121072d7dc68656d391c409e397c811e06 | 333 | py | Python | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | c = float(input("Enter Amount Between 0-99 :"))
print(c // 20, "Twenties")
c = c % 20
print(c // 10, "Tens")
c = c % 10
print(c // 5, "Fives")
c = c % 5
print(c // 1, "Ones")
c = c % 1
print(c // 0.25, "Quarters")
c = c % 0.25
print(c // 0.1, "Dimes")
c = c % 0.1
print(c // 0.05, "Nickles")
c = c % 0.05
print(c // 0.01... | 19.588235 | 47 | 0.51952 |
d7a074b6e62790e1749e72555067425bbae6f923 | 4,772 | py | Python | gmn/src/d1_gmn/tests/test_content_disposition.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 15 | 2016-10-28T13:56:52.000Z | 2022-01-31T19:07:49.000Z | gmn/src/d1_gmn/tests/test_content_disposition.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 56 | 2017-03-16T03:52:32.000Z | 2022-03-12T01:05:28.000Z | gmn/src/d1_gmn/tests/test_content_disposition.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 11 | 2016-05-31T16:22:02.000Z | 2020-10-05T14:37:10.000Z | #!/usr/bin/env python
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2019 DataONE
#
# Licensed under the Apache License, Version 2.0 (t... | 35.61194 | 86 | 0.667854 |
d7a429ba73c168c4f1bfd1cea778f28be08cf20c | 2,159 | py | Python | tests/test_models/test_ner_model.py | xyzhu8/mmocr | f62b4513f5411bde9f24e1902b1cb1945340022a | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_ner_model.py | xyzhu8/mmocr | f62b4513f5411bde9f24e1902b1cb1945340022a | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_ner_model.py | xyzhu8/mmocr | f62b4513f5411bde9f24e1902b1cb1945340022a | [
"Apache-2.0"
] | null | null | null | import copy
import os.path as osp
import tempfile
import pytest
import torch
from mmocr.models import build_detector
def _get_config_module(fname):
"""Load a configuration as a python module."""
from mmcv import Config
config_mod = Config.fromfile(fname)
return config_mod
def _get_detector_cfg(fn... | 27.679487 | 78 | 0.673923 |
d7a7ff3bd6f840a0858a02d02a7395eeedc612d9 | 3,333 | py | Python | recohut/models/layers/graph.py | sparsh-ai/recohut | 4121f665761ffe38c9b6337eaa9293b26bee2376 | [
"Apache-2.0"
] | null | null | null | recohut/models/layers/graph.py | sparsh-ai/recohut | 4121f665761ffe38c9b6337eaa9293b26bee2376 | [
"Apache-2.0"
] | 1 | 2022-01-12T05:40:57.000Z | 2022-01-12T05:40:57.000Z | recohut/models/layers/graph.py | RecoHut-Projects/recohut | 4121f665761ffe38c9b6337eaa9293b26bee2376 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/models/layers/models.layers.graph.ipynb (unless otherwise specified).
__all__ = ['FiGNN_Layer', 'GraphLayer']
# Cell
import torch
import torch.nn as nn
import torch.nn.functional as F
from itertools import product
# Cell
# Cell | 40.646341 | 117 | 0.610561 |
d7a8eecbc304f83f8cc307ef1ff32ce4d5ad23c6 | 20,638 | py | Python | euchre.py | duck57/euchre.py | 838ef7b3bdd9e3bb6af6edce532300b004a4f1a4 | [
"0BSD"
] | 1 | 2020-03-26T00:00:18.000Z | 2020-03-26T00:00:18.000Z | euchre.py | duck57/euchre.py | 838ef7b3bdd9e3bb6af6edce532300b004a4f1a4 | [
"0BSD"
] | null | null | null | euchre.py | duck57/euchre.py | 838ef7b3bdd9e3bb6af6edce532300b004a4f1a4 | [
"0BSD"
] | null | null | null | #!venv/bin/python
# coding=UTF-8
# -*- coding: UTF-8 -*-
# vim: set fileencoding=UTF-8 :
"""
Double-deck bid euchre
Implementation is similar to the rules given by Craig Powers
https://www.pagat.com/euchre/bideuch.html
Notable differences (to match how I learned in high school calculus) include:
* Minimum bid o... | 34.168874 | 93 | 0.537358 |
d7a9af578243dd70e67e5e691e31327e0ed63c8d | 3,908 | py | Python | src/consumer/catalog-search/swagger_server/models/error_response.py | CADDE-sip/connector | 233b63df334dea67c05d379e925ebb7cc15f4b4d | [
"MIT"
] | 1 | 2022-03-29T05:44:47.000Z | 2022-03-29T05:44:47.000Z | src/provider/provenance-management/swagger_server/models/error_response.py | CADDE-sip/connector | 233b63df334dea67c05d379e925ebb7cc15f4b4d | [
"MIT"
] | null | null | null | src/provider/provenance-management/swagger_server/models/error_response.py | CADDE-sip/connector | 233b63df334dea67c05d379e925ebb7cc15f4b4d | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server import util
| 25.376623 | 116 | 0.570368 |
d7aa0f6c9b402105d7439f34f24ee84832389102 | 1,534 | py | Python | dh_example.py | afakharany93/DH_Matrix_Python | 97e29d5b14511f68884a89852d014b010aa4e0f2 | [
"MIT"
] | null | null | null | dh_example.py | afakharany93/DH_Matrix_Python | 97e29d5b14511f68884a89852d014b010aa4e0f2 | [
"MIT"
] | null | null | null | dh_example.py | afakharany93/DH_Matrix_Python | 97e29d5b14511f68884a89852d014b010aa4e0f2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from dh import dh_solver
#from IPython.display import Latex
import sympy
from sympy import Symbol
import numpy as np
#create an object
mtb = dh_solver()
# ## adding the dh paramters
# just use obj.add() method to add a set of dh paramters in the kinematic chain, the first o... | 25.147541 | 205 | 0.730769 |
d7aa249c00c97006115a30d68bd7d12ff4ce1c5c | 1,646 | py | Python | src/python/pants/help/list_goals_integration_test.py | thamenato/pants | bc4a8fb3f07f6145649f02b06a1e5599aa28b36c | [
"Apache-2.0"
] | null | null | null | src/python/pants/help/list_goals_integration_test.py | thamenato/pants | bc4a8fb3f07f6145649f02b06a1e5599aa28b36c | [
"Apache-2.0"
] | null | null | null | src/python/pants/help/list_goals_integration_test.py | thamenato/pants | bc4a8fb3f07f6145649f02b06a1e5599aa28b36c | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.testutil.pants_integration_test import run_pants
| 38.27907 | 93 | 0.694411 |
d7ac26c759283e3913ac9e8cb81d30bdc1dc518a | 9,903 | py | Python | proa.py | andrehigher/ProA | bd05d231f6edb1c2f87a3c067ff0cf1f2867b9b5 | [
"Apache-2.0"
] | null | null | null | proa.py | andrehigher/ProA | bd05d231f6edb1c2f87a3c067ff0cf1f2867b9b5 | [
"Apache-2.0"
] | null | null | null | proa.py | andrehigher/ProA | bd05d231f6edb1c2f87a3c067ff0cf1f2867b9b5 | [
"Apache-2.0"
] | null | null | null | """ A Python Class
A simple Python graph class to do essential operations into graph.
"""
import operator
import math
from random import choice
from collections import defaultdict
import networkx as nx
| 36.951493 | 139 | 0.58144 |
d7acd6c4288f7d67024c98e799deb3358d6fb4d1 | 1,214 | py | Python | fix-sfz.py | SpotlightKid/sfzparser | 9a339274bc44931965ebb36336f43c4fa5f1e498 | [
"MIT"
] | 5 | 2017-01-10T23:22:57.000Z | 2020-05-08T06:29:38.000Z | fix-sfz.py | SpotlightKid/sfzparser | 9a339274bc44931965ebb36336f43c4fa5f1e498 | [
"MIT"
] | 2 | 2017-03-28T20:14:27.000Z | 2017-03-29T07:54:59.000Z | fix-sfz.py | SpotlightKid/sfzparser | 9a339274bc44931965ebb36336f43c4fa5f1e498 | [
"MIT"
] | 2 | 2017-03-28T20:00:42.000Z | 2020-10-24T16:39:31.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import shutil
from os.path import basename, exists, isdir, splitext
from sfzparser import SFZParser
if __name__ == '__main__':
import sys
sys.exit(main(sys.argv[1:] or 0))
| 28.904762 | 93 | 0.521417 |
d7ad4862b9b6c2d525c8d2c7b82c06b8e22cd716 | 103 | py | Python | pytoolkit/applications/__init__.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | 26 | 2018-12-03T23:02:56.000Z | 2020-08-07T06:33:21.000Z | pytoolkit/applications/__init__.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | null | null | null | pytoolkit/applications/__init__.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | 5 | 2019-08-10T11:10:59.000Z | 2020-11-18T02:39:37.000Z | """Keras"""
# pylint: skip-file
# flake8: noqa
from . import darknet53, efficientnet, xception
| 17.166667 | 47 | 0.718447 |
d7ada5e8230786197ee97f5ef4dfe811a9ba707b | 1,536 | py | Python | tests/rest/integration/test_common_endpoints.py | Palem1988/huobi | 400d07ea309dc7bc75fb953ddf507c3592678b05 | [
"MIT"
] | 19 | 2018-05-18T09:49:47.000Z | 2021-06-18T20:25:14.000Z | tests/rest/integration/test_common_endpoints.py | tianshanghong/huobi | b2d1a14ed83ac890cc63b513618c8f5ba2574512 | [
"MIT"
] | 14 | 2018-05-15T16:30:40.000Z | 2022-03-17T08:52:06.000Z | tests/rest/integration/test_common_endpoints.py | tianshanghong/huobi | b2d1a14ed83ac890cc63b513618c8f5ba2574512 | [
"MIT"
] | 9 | 2018-05-27T01:34:37.000Z | 2022-03-04T20:11:30.000Z | import unittest
from huobi.rest.client import HuobiRestClient
from huobi.rest.error import (
HuobiRestiApiError
)
import os
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(dirname(dirname(dirname(__file__)))), '.env')
load_dotenv(dotenv_path)
| 25.6 | 72 | 0.682292 |
d7afcd461d31d762481c2b25c06e4d95251be3d2 | 8,477 | py | Python | gerritviewer/views/accounts.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | gerritviewer/views/accounts.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | gerritviewer/views/accounts.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2017 Vitalii Kulanov
#
# 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 ... | 46.070652 | 79 | 0.575911 |
d7afd3383399873e7b024e174d09b83c6155eba6 | 2,928 | py | Python | infra/tools/git-push-speed.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | infra/tools/git-push-speed.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | infra/tools/git-push-speed.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Measures the average time used by git-push command in CQ based on data from
chromium-cq-status.appspot.com."""
import argparse
import json
import logging... | 36.148148 | 79 | 0.653005 |
d7b09b3899eab74c7da7d05d1a738239da6a6f8c | 93 | py | Python | backoffice/transactions/utils.py | AlejandroUPC/pythonmicroservices | 9d42bd6dfd9847ad4a8e6029e808de927292c251 | [
"MIT"
] | null | null | null | backoffice/transactions/utils.py | AlejandroUPC/pythonmicroservices | 9d42bd6dfd9847ad4a8e6029e808de927292c251 | [
"MIT"
] | null | null | null | backoffice/transactions/utils.py | AlejandroUPC/pythonmicroservices | 9d42bd6dfd9847ad4a8e6029e808de927292c251 | [
"MIT"
] | null | null | null | import random | 23.25 | 54 | 0.795699 |
d7b1f098471299492d3a164aae5bda72d5a2c99e | 113 | py | Python | bitmovin_api_sdk/encoding/infrastructure/kubernetes/configuration/__init__.py | hofmannben/bitmovin-api-sdk-python | 71aae5cd8a31aa0ad54ca07a6f546a624e8686a9 | [
"MIT"
] | null | null | null | bitmovin_api_sdk/encoding/infrastructure/kubernetes/configuration/__init__.py | hofmannben/bitmovin-api-sdk-python | 71aae5cd8a31aa0ad54ca07a6f546a624e8686a9 | [
"MIT"
] | 1 | 2020-07-06T07:13:43.000Z | 2020-07-06T07:13:43.000Z | bitmovin_api_sdk/encoding/infrastructure/kubernetes/configuration/__init__.py | hofmannben/bitmovin-api-sdk-python | 71aae5cd8a31aa0ad54ca07a6f546a624e8686a9 | [
"MIT"
] | 1 | 2020-07-06T07:07:26.000Z | 2020-07-06T07:07:26.000Z | from bitmovin_api_sdk.encoding.infrastructure.kubernetes.configuration.configuration_api import ConfigurationApi
| 56.5 | 112 | 0.920354 |
d7b416d06c92253082c35eb75c67b3efcc2cb569 | 3,427 | py | Python | python/cudf/cudf/core/column/methods.py | shridharathi/cudf | 664712eb124e35dd2e8f28c287adbb48fc8049d6 | [
"Apache-2.0"
] | null | null | null | python/cudf/cudf/core/column/methods.py | shridharathi/cudf | 664712eb124e35dd2e8f28c287adbb48fc8049d6 | [
"Apache-2.0"
] | null | null | null | python/cudf/cudf/core/column/methods.py | shridharathi/cudf | 664712eb124e35dd2e8f28c287adbb48fc8049d6 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020, NVIDIA CORPORATION.
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, Union, overload
from typing_extensions import Literal
import cudf
if TYPE_CHECKING:
from cudf.core.column import ColumnBase
| 31.440367 | 79 | 0.534578 |
d7b668f8518c7dd4a692c3180e8c31313bbcc189 | 8,139 | py | Python | spa/tests/dom_helper.py | fergalmoran/dss.api | d1b9fb674b6dbaee9b46b9a3daa2027ab8d28073 | [
"BSD-2-Clause"
] | null | null | null | spa/tests/dom_helper.py | fergalmoran/dss.api | d1b9fb674b6dbaee9b46b9a3daa2027ab8d28073 | [
"BSD-2-Clause"
] | null | null | null | spa/tests/dom_helper.py | fergalmoran/dss.api | d1b9fb674b6dbaee9b46b9a3daa2027ab8d28073 | [
"BSD-2-Clause"
] | null | null | null | from selenium.common.exceptions import NoSuchElementException, TimeoutException
| 38.03271 | 154 | 0.615678 |
d7b71be599126f3487b3d6c940f7c879926c6044 | 1,491 | py | Python | gravityspytools/search/models.py | Gravity-Spy/gravityspytools | 23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0 | [
"BSD-3-Clause"
] | 4 | 2019-03-11T12:32:24.000Z | 2020-12-01T06:31:39.000Z | gravityspytools/search/models.py | johnwick211/gravityspytools | 23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0 | [
"BSD-3-Clause"
] | 19 | 2018-01-29T21:28:39.000Z | 2020-07-14T18:38:23.000Z | gravityspytools/search/models.py | johnwick211/gravityspytools | 23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0 | [
"BSD-3-Clause"
] | 4 | 2018-02-02T16:47:16.000Z | 2020-12-01T06:31:49.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
from django.contrib.postgres.fields import ArrayField
# Create your models here.
"""
class NewSearch(models.Model):
SINGLEVIEW = 'similarityindex'
MULTIVIEW = 'updated_simi... | 31.723404 | 174 | 0.646546 |
d7b7548d8ddf5ce24d29bb3004f66eaa2e7d0d79 | 776 | py | Python | simple_menu/simple_encoder.py | mexclub/simple_menu | 9e37b2101c74f451270ceab0f50e19457562d20a | [
"MIT"
] | null | null | null | simple_menu/simple_encoder.py | mexclub/simple_menu | 9e37b2101c74f451270ceab0f50e19457562d20a | [
"MIT"
] | null | null | null | simple_menu/simple_encoder.py | mexclub/simple_menu | 9e37b2101c74f451270ceab0f50e19457562d20a | [
"MIT"
] | 3 | 2020-01-07T14:36:31.000Z | 2021-01-04T15:37:30.000Z | from machine import Pin
| 32.333333 | 62 | 0.487113 |
d7b9607848de2585415aac4ac43c5891e9257879 | 7,928 | py | Python | Final/prediction/nb1.py | NaguGowda/machin-learning- | dd04f44a06d6f83e58ed6eb4d69db09620040e49 | [
"Apache-2.0"
] | null | null | null | Final/prediction/nb1.py | NaguGowda/machin-learning- | dd04f44a06d6f83e58ed6eb4d69db09620040e49 | [
"Apache-2.0"
] | null | null | null | Final/prediction/nb1.py | NaguGowda/machin-learning- | dd04f44a06d6f83e58ed6eb4d69db09620040e49 | [
"Apache-2.0"
] | null | null | null | # Example of Naive Bayes implemented from Scratch in Python
import csv
import random
import math
import xgboost as xgb
import matplotlib.pyplot as plt
import numpy as np
main() | 31.839357 | 101 | 0.645686 |
d7ba1f7895f8a28f6a1b180ed84e6be8b3b520b7 | 7,367 | py | Python | wingstructure/data/wing.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 7 | 2019-01-02T16:47:31.000Z | 2020-10-10T10:06:15.000Z | wingstructure/data/wing.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 9 | 2019-01-13T20:11:23.000Z | 2019-10-10T21:38:58.000Z | wingstructure/data/wing.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 1 | 2018-12-27T14:20:36.000Z | 2018-12-27T14:20:36.000Z | from collections import namedtuple
from copy import deepcopy
import numpy as np
# data type for 3D-Coordinates
Point = namedtuple('Point', 'x y z')
# monkey patch function
def plot(self):
import matplotlib.pyplot as plt
# draw centerline
#plt.axvline(x=0, linestyle='-.')
... | 26.692029 | 102 | 0.529659 |
d7ba596dc0cf678dc2c3cf189ee8dd90496c1aa2 | 3,103 | py | Python | crossdock/problems/experiment/crossdock_15_25_15_5_5.py | krerkkiat/icpr-2019-public | f3023c009f3335ce58204a45c270cfeb6ef19367 | [
"BSD-3-Clause"
] | null | null | null | crossdock/problems/experiment/crossdock_15_25_15_5_5.py | krerkkiat/icpr-2019-public | f3023c009f3335ce58204a45c270cfeb6ef19367 | [
"BSD-3-Clause"
] | null | null | null | crossdock/problems/experiment/crossdock_15_25_15_5_5.py | krerkkiat/icpr-2019-public | f3023c009f3335ce58204a45c270cfeb6ef19367 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Cross-docking truck data.
This data is generated by a generate_dataset.py script.
Created: Feb 18, 2019 at 07:30:02 PM
Copyright (c) 2022, Krerkkiat Chusap
This souce code is licensed under BSD 3-Clause "New" or "Revised" License (see LICENSE for details).
"""
from pathlib import Path
# ... | 41.373333 | 100 | 0.477602 |
d7ba6d2580da27c50c90b24f37ff13d8bc2e1d42 | 1,121 | py | Python | CIFAR10/train.py | aidezone/pytorch-learning | c9c5c185e4de71503002083e271c6b19321520c1 | [
"MIT"
] | null | null | null | CIFAR10/train.py | aidezone/pytorch-learning | c9c5c185e4de71503002083e271c6b19321520c1 | [
"MIT"
] | null | null | null | CIFAR10/train.py | aidezone/pytorch-learning | c9c5c185e4de71503002083e271c6b19321520c1 | [
"MIT"
] | null | null | null | import base
#
import torch
import torch.nn as nn
#
net = base.MyCustomNet()
#
max_epoch = 5
#
learning_rate = 0.001
# loss
import torch.optim as optim
criterion = nn.CrossEntropyLoss()
optimizer = optim.SGD(net.parameters(), lr=learning_rate, momentum=0.9)
#
for epoch in range(max_epoch): # loop over the d... | 22.42 | 79 | 0.6405 |