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c7300e0d4920ea9bf3233fb48ec01feb851a08ad | 4,125 | py | Python | code/network/__init__.py | michalochman/complex-networks | 49337376e32fac253d8de9919d5acd00a9b566bb | [
"MIT"
] | null | null | null | code/network/__init__.py | michalochman/complex-networks | 49337376e32fac253d8de9919d5acd00a9b566bb | [
"MIT"
] | null | null | null | code/network/__init__.py | michalochman/complex-networks | 49337376e32fac253d8de9919d5acd00a9b566bb | [
"MIT"
] | null | null | null | import fractions
class Network(object):
def __init__(self, network):
self.network = network
def degree(self, link_type, key):
return len(self.network.get(link_type).get(key))
def average_degree(self, link_type):
degree = 0
for link in self.network.get(link_type).itervalue... | 42.96875 | 109 | 0.615758 | 4,105 | 0.995152 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.008485 |
c730483de9837a25bc1e629091819a776f0b1ff3 | 3,055 | py | Python | invoke_ansible.py | samvarankashyap/ansible_api_usage | d03c67b4606d2e101ef7341bd31161b4db39cd5b | [
"Apache-2.0"
] | null | null | null | invoke_ansible.py | samvarankashyap/ansible_api_usage | d03c67b4606d2e101ef7341bd31161b4db39cd5b | [
"Apache-2.0"
] | null | null | null | invoke_ansible.py | samvarankashyap/ansible_api_usage | d03c67b4606d2e101ef7341bd31161b4db39cd5b | [
"Apache-2.0"
] | null | null | null | import ansible
import pprint
from ansible import utils
from jinja2 import Environment, PackageLoader
from collections import namedtuple
from ansible import utils
from ansible.parsing.dataloader import DataLoader
from ansible.vars import VariableManager
from ansible.inventory import Inventory
from ansible.executor.playb... | 40.197368 | 89 | 0.466776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 294 | 0.096236 |
c733c87e85c1c4f5626af759efe7bb3290f415c6 | 2,336 | py | Python | bin/python/csv2es.py | reid-wagner/proteomics-pipelines | 2214c2ad4c14fabcb50a3c0800e9d383ce73df3d | [
"MIT"
] | 2 | 2018-09-06T14:05:59.000Z | 2022-02-18T10:09:06.000Z | bin/python/csv2es.py | reid-wagner/proteomics-pipelines | 2214c2ad4c14fabcb50a3c0800e9d383ce73df3d | [
"MIT"
] | 7 | 2018-09-30T00:49:04.000Z | 2022-01-27T07:55:26.000Z | bin/python/csv2es.py | reid-wagner/proteomics-pipelines | 2214c2ad4c14fabcb50a3c0800e9d383ce73df3d | [
"MIT"
] | 3 | 2019-10-29T12:20:45.000Z | 2021-10-06T14:38:43.000Z | #!/usr/bin/env python3
import itertools
import string
from elasticsearch import Elasticsearch,helpers
import sys
import os
from glob import glob
import pandas as pd
import json
host = sys.argv[1]
port = int(sys.argv[2])
alias = sys.argv[3]
print(host)
print(port)
print(alias)
es = Elasticsearch([{'host':... | 28.144578 | 99 | 0.644264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 0.190497 |
c7345842917a4fbe78846b66040cbcd50b2fa112 | 45 | py | Python | main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py | jason424217/Artificial-Code-Gen | a6e2c097c5ffe8cb0929e6703035b526f477e514 | [
"MIT"
] | null | null | null | main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py | jason424217/Artificial-Code-Gen | a6e2c097c5ffe8cb0929e6703035b526f477e514 | [
"MIT"
] | null | null | null | main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py | jason424217/Artificial-Code-Gen | a6e2c097c5ffe8cb0929e6703035b526f477e514 | [
"MIT"
] | null | null | null | print a
if b:
if c:
d
e
| 6.428571 | 9 | 0.311111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c7349ec685ce1af0110178abaaf2eb1878a5bd71 | 106 | py | Python | Src/main.py | DukeA/DAT02X-19-03-MachineLearning-Starcraft2 | ade31deb4cf6cacd0c411c39310aeb1300561936 | [
"MIT"
] | null | null | null | Src/main.py | DukeA/DAT02X-19-03-MachineLearning-Starcraft2 | ade31deb4cf6cacd0c411c39310aeb1300561936 | [
"MIT"
] | null | null | null | Src/main.py | DukeA/DAT02X-19-03-MachineLearning-Starcraft2 | ade31deb4cf6cacd0c411c39310aeb1300561936 | [
"MIT"
] | null | null | null |
from absl import app
from mainLoop import main
if __name__ == '__main__':
app.run(main)
| 13.25 | 27 | 0.632075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.09434 |
c735745b02553eb9e477617ad9c63df5e4730b1c | 3,793 | py | Python | bos_sarcat_scraper/__main__.py | hysds/bos_sarcat_scraper | 1bf3612e7d8fad80c8704a909087be19cc3e1db2 | [
"Apache-2.0"
] | 1 | 2020-06-24T00:25:30.000Z | 2020-06-24T00:25:30.000Z | bos_sarcat_scraper/__main__.py | aria-jpl/bos_sarcat_scraper | 1bf3612e7d8fad80c8704a909087be19cc3e1db2 | [
"Apache-2.0"
] | null | null | null | bos_sarcat_scraper/__main__.py | aria-jpl/bos_sarcat_scraper | 1bf3612e7d8fad80c8704a909087be19cc3e1db2 | [
"Apache-2.0"
] | 1 | 2019-05-08T17:15:00.000Z | 2019-05-08T17:15:00.000Z | from __future__ import absolute_import
from builtins import str
from builtins import input
import sys
import argparse
from . import bosart_scrape
import datetime
import json
def valid_date(s):
try:
try:
date = datetime.datetime.strptime(s, "%Y-%m-%dT%H:%M:%S.%fZ")
except:
d... | 39.926316 | 240 | 0.675718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,627 | 0.428948 |
c73803a506dad8312572b3d3624ec1ddd2985a19 | 23,181 | py | Python | vgm2electron.py | simondotm/vgm2electron | 38e340d2baeaa3e5722ac982c82e58fb9858f9d9 | [
"MIT"
] | 2 | 2021-03-08T13:55:02.000Z | 2021-05-02T12:50:38.000Z | vgm2electron.py | simondotm/vgm2electron | 38e340d2baeaa3e5722ac982c82e58fb9858f9d9 | [
"MIT"
] | null | null | null | vgm2electron.py | simondotm/vgm2electron | 38e340d2baeaa3e5722ac982c82e58fb9858f9d9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# vgm2electron.py
# Tool for converting SN76489-based PSG VGM data to Acorn Electron
# By Simon Morris (https://github.com/simondotm/)
# See https://github.com/simondotm/vgm-packer
#
# Copyright (c) 2019 Simon Morris. All rights reserved.
#
# "MIT License":
# Permission is hereby granted, free of ... | 31.798354 | 230 | 0.60981 | 18,054 | 0.778827 | 0 | 0 | 0 | 0 | 0 | 0 | 10,514 | 0.453561 |
c739f9c426d2980ab50d3acc428d5d636d5dd280 | 14,198 | py | Python | twitter_sent.py | rthorst/TwitterSentiment | b719feffbfed1dfe9028db0900b3158d19322284 | [
"MIT"
] | 6 | 2020-02-21T15:50:34.000Z | 2021-11-09T19:45:50.000Z | twitter_sent.py | rthorst/TwitterSentiment | b719feffbfed1dfe9028db0900b3158d19322284 | [
"MIT"
] | null | null | null | twitter_sent.py | rthorst/TwitterSentiment | b719feffbfed1dfe9028db0900b3158d19322284 | [
"MIT"
] | null | null | null | import webapp2
import tweepy
import json
import csv
import os
import statistics
import bokeh
from bokeh.io import show, output_file
from bokeh.plotting import figure
from bokeh.models import HoverTool, ColumnDataSource
from bokeh.embed import components, json_item
from bokeh.resources import INLINE
from bokeh.models.gl... | 33.885442 | 120 | 0.623257 | 4,656 | 0.327934 | 0 | 0 | 0 | 0 | 0 | 0 | 7,355 | 0.518031 |
c73a657eabaaa5580cd95fd8f430b160b1e8e216 | 8,956 | py | Python | tests/testcgatools.py | ereide/pyga-camcal | fd25748ddb11c5b05ef24a2deca2689e0d899875 | [
"MIT"
] | 5 | 2018-05-22T09:11:31.000Z | 2022-03-11T02:32:01.000Z | tests/testcgatools.py | ereide/pyga-camcal | fd25748ddb11c5b05ef24a2deca2689e0d899875 | [
"MIT"
] | null | null | null | tests/testcgatools.py | ereide/pyga-camcal | fd25748ddb11c5b05ef24a2deca2689e0d899875 | [
"MIT"
] | null | null | null | import unittest
import clifford as cl
from clifford import g3c
from numpy import pi, e
import numpy as np
from scipy.sparse.linalg.matfuncs import _sinch as sinch
from clifford import MultiVector
from pygacal.common.cgatools import ( Sandwich, Dilator, Translator, Reflector,
inversion, Ro... | 33.17037 | 125 | 0.546226 | 7,571 | 0.845355 | 0 | 0 | 0 | 0 | 0 | 0 | 1,861 | 0.207794 |
c73c3d02ecdfac6eb2c791e1853c9f4bcf52f552 | 6,909 | py | Python | router/posts.py | DiegoLing33/prestij.xyz-api | 69a11a2c93dd98975f9becbc4b8f596e4941a05f | [
"MIT"
] | null | null | null | router/posts.py | DiegoLing33/prestij.xyz-api | 69a11a2c93dd98975f9becbc4b8f596e4941a05f | [
"MIT"
] | null | null | null | router/posts.py | DiegoLing33/prestij.xyz-api | 69a11a2c93dd98975f9becbc4b8f596e4941a05f | [
"MIT"
] | null | null | null | # ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗
# ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝
# ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░
# ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░
# ███████╗██║██... | 25.876404 | 118 | 0.568823 | 317 | 0.03655 | 0 | 0 | 4,813 | 0.554941 | 0 | 0 | 3,981 | 0.459011 |
c73c5c8e9b60dd28827b865f9cd0c2682cc0cd16 | 3,216 | py | Python | toontown/catalog/CatalogChatBalloon.py | CrankySupertoon01/Toontown-2 | 60893d104528a8e7eb4aced5d0015f22e203466d | [
"MIT"
] | 1 | 2021-02-13T22:40:50.000Z | 2021-02-13T22:40:50.000Z | toontown/catalog/CatalogChatBalloon.py | CrankySupertoonArchive/Toontown-2 | 60893d104528a8e7eb4aced5d0015f22e203466d | [
"MIT"
] | 1 | 2018-07-28T20:07:04.000Z | 2018-07-30T18:28:34.000Z | toontown/catalog/CatalogChatBalloon.py | CrankySupertoonArchive/Toontown-2 | 60893d104528a8e7eb4aced5d0015f22e203466d | [
"MIT"
] | 2 | 2019-12-02T01:39:10.000Z | 2021-02-13T22:41:00.000Z | from pandac.PandaModules import *
class CatalogChatBalloon:
TEXT_SHIFT = (0.1, -0.05, 1.1)
TEXT_SHIFT_REVERSED = -0.05
TEXT_SHIFT_PROP = 0.08
NATIVE_WIDTH = 10.0
MIN_WIDTH = 2.5
MIN_HEIGHT = 1
BUBBLE_PADDING = 0.3
BUBBLE_PADDING_PROP = 0.05
BUTTON_SCALE = 6
BUTTON_SHIFT = (-0.2,... | 34.212766 | 81 | 0.589552 | 3,180 | 0.988806 | 0 | 0 | 0 | 0 | 0 | 0 | 689 | 0.214241 |
c73c9cd86a4a585bb09b4cbd3f15cf16c3ddc42d | 831 | py | Python | TTS/vocoder/tf/utils/io.py | mightmay/Mien-TTS | 8a22ff0a79558b3cf4981ce1b63f4d1485ea6338 | [
"MIT"
] | null | null | null | TTS/vocoder/tf/utils/io.py | mightmay/Mien-TTS | 8a22ff0a79558b3cf4981ce1b63f4d1485ea6338 | [
"MIT"
] | null | null | null | TTS/vocoder/tf/utils/io.py | mightmay/Mien-TTS | 8a22ff0a79558b3cf4981ce1b63f4d1485ea6338 | [
"MIT"
] | 1 | 2021-04-28T17:30:03.000Z | 2021-04-28T17:30:03.000Z | import datetime
import pickle
import tensorflow as tf
def save_checkpoint(model, current_step, epoch, output_path, **kwargs):
""" Save TF Vocoder model """
state = {
'model': model.weights,
'step': current_step,
'epoch': epoch,
'date': datetime.date.today().strftime("%B %d, %Y"... | 29.678571 | 74 | 0.65704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.132371 |
c73caaa0e2719e60ad785aecaaee84cf63518c02 | 1,497 | py | Python | tests/test_path_choice.py | jataware/flee | 67c00c4572e71dd2bbfb390d7d7ede13ffb9594e | [
"BSD-3-Clause"
] | 3 | 2021-05-24T14:07:48.000Z | 2022-01-10T03:20:36.000Z | tests/test_path_choice.py | jataware/flee | 67c00c4572e71dd2bbfb390d7d7ede13ffb9594e | [
"BSD-3-Clause"
] | 15 | 2020-06-05T11:42:23.000Z | 2022-03-09T20:17:29.000Z | tests/test_path_choice.py | jataware/flee | 67c00c4572e71dd2bbfb390d7d7ede13ffb9594e | [
"BSD-3-Clause"
] | 3 | 2020-05-29T15:10:28.000Z | 2022-03-09T19:51:41.000Z | from flee import flee
"""
Generation 1 code. Incorporates only distance, travel always takes one day.
"""
def test_path_choice():
print("Testing basic data handling and simulation kernel.")
flee.SimulationSettings.MinMoveSpeed = 5000.0
flee.SimulationSettings.MaxMoveSpeed = 5000.0
flee.SimulationSet... | 33.266667 | 75 | 0.663327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 514 | 0.343353 |
c73dae2399d233b79b4e4ba84ebee8f7d71a6c22 | 10,463 | py | Python | archive/old_plots/plot_supplemental_divergence_correlations.py | garudlab/mother_infant | 98a27c83bf5ece9497d5a030c6c9396a8c514781 | [
"BSD-2-Clause"
] | 2 | 2020-08-09T06:19:11.000Z | 2021-08-18T17:12:23.000Z | archive/old_plots/plot_supplemental_divergence_correlations.py | garudlab/mother_infant | 98a27c83bf5ece9497d5a030c6c9396a8c514781 | [
"BSD-2-Clause"
] | null | null | null | archive/old_plots/plot_supplemental_divergence_correlations.py | garudlab/mother_infant | 98a27c83bf5ece9497d5a030c6c9396a8c514781 | [
"BSD-2-Clause"
] | 8 | 2019-02-20T22:21:55.000Z | 2021-02-13T00:55:40.000Z | import matplotlib
matplotlib.use('Agg')
import config
import parse_midas_data
import parse_HMP_data
import os.path
import pylab
import sys
import numpy
import diversity_utils
import gene_diversity_utils
import calculate_substitution_rates
import stats_utils
import matplotlib.colors as colors
import matplotlib.cm a... | 38.047273 | 203 | 0.750454 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,482 | 0.237217 |
c73e6e9b07e0e5afa67a521f170e1521081ec4b3 | 34,246 | py | Python | multivis/plotFeatures.py | brettChapman/cimcb_vis | b373ed426b24ece1dcc20febd7c8023921b024d6 | [
"MIT"
] | 1 | 2021-06-27T23:52:40.000Z | 2021-06-27T23:52:40.000Z | multivis/plotFeatures.py | brettChapman/cimcb_vis | b373ed426b24ece1dcc20febd7c8023921b024d6 | [
"MIT"
] | null | null | null | multivis/plotFeatures.py | brettChapman/cimcb_vis | b373ed426b24ece1dcc20febd7c8023921b024d6 | [
"MIT"
] | 2 | 2021-06-27T23:53:03.000Z | 2021-07-12T12:59:23.000Z | import sys
import copy
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from .utils import *
import numpy as np
import pandas as pd
class plotFeatures:
usage = """Produces different feature plots given a data table and peak table.
Initial_Paramete... | 52.605223 | 586 | 0.5464 | 34,058 | 0.99451 | 0 | 0 | 0 | 0 | 0 | 0 | 7,936 | 0.231735 |
c73eca01ba5620a706110aaabb7ea66ae754f7f0 | 1,183 | py | Python | core/data/DataWriter.py | berendkleinhaneveld/Registrationshop | 0d6f3ee5324865cdcb419369139f37c39dfe9a1c | [
"MIT"
] | 25 | 2015-11-08T16:36:54.000Z | 2022-01-20T16:03:28.000Z | core/data/DataWriter.py | berendkleinhaneveld/Registrationshop | 0d6f3ee5324865cdcb419369139f37c39dfe9a1c | [
"MIT"
] | 2 | 2016-12-01T23:13:08.000Z | 2017-07-25T02:40:49.000Z | core/data/DataWriter.py | berendkleinhaneveld/Registrationshop | 0d6f3ee5324865cdcb419369139f37c39dfe9a1c | [
"MIT"
] | 10 | 2016-07-05T14:39:16.000Z | 2022-01-01T02:05:55.000Z | """
DataWriter.py
"""
from DataController import DataController
from DataReader import DataReader
from vtk import vtkMetaImageWriter
from vtk import vtkXMLImageDataWriter
class DataWriter(DataController):
"""
DataWriter writes an image data object to
disk using the provided format.
"""
def __init__(self):
sup... | 27.511628 | 76 | 0.752325 | 1,008 | 0.852071 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.12426 |
c73ff4534e3b71c1974b4bf7835f8ec9472d9d62 | 7,483 | py | Python | parkings/models/permit.py | klemmari1/parkkihubi | 93218c6046c0910e8a4c723dc7128c6eec085b8c | [
"MIT"
] | 12 | 2016-11-29T15:13:10.000Z | 2021-06-12T06:45:38.000Z | parkings/models/permit.py | niuzhipeng123/parkkihubi | 93218c6046c0910e8a4c723dc7128c6eec085b8c | [
"MIT"
] | 154 | 2016-11-30T09:07:58.000Z | 2022-02-12T08:29:36.000Z | parkings/models/permit.py | niuzhipeng123/parkkihubi | 93218c6046c0910e8a4c723dc7128c6eec085b8c | [
"MIT"
] | 15 | 2016-11-29T19:32:48.000Z | 2022-01-05T11:31:39.000Z | from itertools import chain
from django.conf import settings
from django.contrib.gis.db import models as gis_models
from django.db import models, router, transaction
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from ..fields import CleaningJsonField
from ..validators import... | 37.415 | 103 | 0.667379 | 6,939 | 0.927302 | 736 | 0.098356 | 204 | 0.027262 | 0 | 0 | 628 | 0.083924 |
c744286930e6918cebec7544521adbaf000c03cc | 4,265 | py | Python | poi_mining/biz/LSA/logEntropy.py | yummydeli/machine_learning | 54471182ac21ef0eee26557a7bd6f3a3dc3a09bd | [
"MIT"
] | 1 | 2019-09-29T13:36:29.000Z | 2019-09-29T13:36:29.000Z | poi_mining/biz/LSA/logEntropy.py | yummydeli/machine_learning | 54471182ac21ef0eee26557a7bd6f3a3dc3a09bd | [
"MIT"
] | null | null | null | poi_mining/biz/LSA/logEntropy.py | yummydeli/machine_learning | 54471182ac21ef0eee26557a7bd6f3a3dc3a09bd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding:utf-8
# ##############################################################################
# The MIT License (MIT)
#
# Copyright (c) [2015] [baidu.com]
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (th... | 35.541667 | 100 | 0.557562 | 2,759 | 0.633525 | 0 | 0 | 0 | 0 | 0 | 0 | 2,487 | 0.571068 |
c7465ff1ea985cda2b457c6697cd774f312adad2 | 40 | py | Python | Python/swap_numbers.py | saurabhcommand/Hello-world | 647bad9da901a52d455f05ecc37c6823c22dc77e | [
"MIT"
] | 1,428 | 2018-10-03T15:15:17.000Z | 2019-03-31T18:38:36.000Z | Python/swap_numbers.py | saurabhcommand/Hello-world | 647bad9da901a52d455f05ecc37c6823c22dc77e | [
"MIT"
] | 1,162 | 2018-10-03T15:05:49.000Z | 2018-10-18T14:17:52.000Z | Python/swap_numbers.py | saurabhcommand/Hello-world | 647bad9da901a52d455f05ecc37c6823c22dc77e | [
"MIT"
] | 3,909 | 2018-10-03T15:07:19.000Z | 2019-03-31T18:39:08.000Z | a = 5
b = 7
a,b = b,a
print a
print b
| 5 | 9 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c746b2ee9cd86b479c95bc6e51b1c40a08b1d7da | 2,162 | py | Python | algorithms/tests/test_unionfind.py | tommyod/PythonAlgorithms | f0a0f67be069fc9e9fa3027ed83942d6401223fe | [
"MIT"
] | 1 | 2021-08-23T17:15:06.000Z | 2021-08-23T17:15:06.000Z | algorithms/tests/test_unionfind.py | tommyod/PythonAlgorithms | f0a0f67be069fc9e9fa3027ed83942d6401223fe | [
"MIT"
] | 1 | 2018-05-02T17:29:42.000Z | 2018-05-02T17:31:18.000Z | algorithms/tests/test_unionfind.py | tommyod/PythonAlgorithms | f0a0f67be069fc9e9fa3027ed83942d6401223fe | [
"MIT"
] | 1 | 2018-05-02T12:31:52.000Z | 2018-05-02T12:31:52.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Tests for the union find data structure.
"""
try:
from ..unionfind import UnionFind
except ValueError:
pass
def test_unionfind_basics():
"""
Test the basic properties of unionfind.
"""
u = UnionFind([1, 2, 3])
assert u.in_same_set(1,... | 21.62 | 68 | 0.584181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 547 | 0.253006 |
c746ec91b306e818609b2388a6f07e590b53157d | 10,961 | py | Python | a3/ga.py | mishless/LearningSystems | 635d9af9d00ae0360d7ca8571bf47f782fdcdfe9 | [
"MIT"
] | 1 | 2021-08-01T03:30:49.000Z | 2021-08-01T03:30:49.000Z | a3/ga.py | mishless/LearningSystems | 635d9af9d00ae0360d7ca8571bf47f782fdcdfe9 | [
"MIT"
] | null | null | null | a3/ga.py | mishless/LearningSystems | 635d9af9d00ae0360d7ca8571bf47f782fdcdfe9 | [
"MIT"
] | null | null | null | # Genetic Algorithm for solving the Traveling Salesman problem
# Authors: Mihaela Stoycheva, Vukan Turkulov
# Includes
import configparser
import math
import matplotlib.pyplot as plt
import numpy
import random
import sys
from operator import itemgetter
#Global variables(yay!)
# Configuration variables(read from co... | 26.159905 | 77 | 0.624487 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,666 | 0.151993 |
c7477304b232543e959b4e41d7f4db3d8d55814b | 334 | py | Python | products/migrations/0010_remove_product_updated_at.py | UB-ES-2021-A1/wannasell-backend | 84360b2985fc28971867601373697f39303e396b | [
"Unlicense"
] | null | null | null | products/migrations/0010_remove_product_updated_at.py | UB-ES-2021-A1/wannasell-backend | 84360b2985fc28971867601373697f39303e396b | [
"Unlicense"
] | 62 | 2021-11-22T21:52:44.000Z | 2021-12-17T15:07:02.000Z | products/migrations/0010_remove_product_updated_at.py | UB-ES-2021-A1/wannasell-backend | 84360b2985fc28971867601373697f39303e396b | [
"Unlicense"
] | null | null | null | # Generated by Django 3.2.8 on 2021-11-25 17:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('products', '0009_auto_20211125_1846'),
]
operations = [
migrations.RemoveField(
model_name='product',
name='updated_at',
... | 18.555556 | 48 | 0.598802 | 249 | 0.745509 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.308383 |
c74852ff0006431dcf627c07119eece06aae36cb | 160 | py | Python | ResumeAnalyser/apps.py | samyakj2307/recruitai_resume_backend | 52f8eda63d479b28fc19fe2d7149ab9ee9be122f | [
"MIT"
] | null | null | null | ResumeAnalyser/apps.py | samyakj2307/recruitai_resume_backend | 52f8eda63d479b28fc19fe2d7149ab9ee9be122f | [
"MIT"
] | null | null | null | ResumeAnalyser/apps.py | samyakj2307/recruitai_resume_backend | 52f8eda63d479b28fc19fe2d7149ab9ee9be122f | [
"MIT"
] | 1 | 2021-06-03T13:56:53.000Z | 2021-06-03T13:56:53.000Z | from django.apps import AppConfig
class ResumeanalyserConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'ResumeAnalyser'
| 22.857143 | 56 | 0.78125 | 123 | 0.76875 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.29375 |
c748ba40f4f42a2340be17f0209db3df304f6bd7 | 196 | py | Python | plugins/core/player_manager_plugin/__init__.py | StarryPy/StarryPy-Historic | b9dbd552b8c4631a5a8e9dda98b7ba447eca59da | [
"WTFPL"
] | 38 | 2015-02-12T11:57:59.000Z | 2018-11-15T16:03:45.000Z | plugins/core/player_manager_plugin/__init__.py | StarryPy/StarryPy-Historic | b9dbd552b8c4631a5a8e9dda98b7ba447eca59da | [
"WTFPL"
] | 68 | 2015-02-05T23:29:47.000Z | 2017-12-27T08:26:25.000Z | plugins/core/player_manager_plugin/__init__.py | StarryPy/StarryPy-Historic | b9dbd552b8c4631a5a8e9dda98b7ba447eca59da | [
"WTFPL"
] | 21 | 2015-02-06T18:58:21.000Z | 2017-12-24T20:08:59.000Z | from plugins.core.player_manager_plugin.plugin import PlayerManagerPlugin
from plugins.core.player_manager_plugin.manager import (
Banned,
UserLevels,
permissions,
PlayerManager
)
| 24.5 | 73 | 0.795918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c74916514901ff1d3dbfb832b264c70329520805 | 3,063 | py | Python | src/config/svc-monitor/svc_monitor/services/loadbalancer/drivers/ha_proxy/custom_attributes/haproxy_validator.py | jnpr-pranav/contrail-controller | 428eee37c28c31830fd764315794e1a6e52720c1 | [
"Apache-2.0"
] | 37 | 2020-09-21T10:42:26.000Z | 2022-01-09T10:16:40.000Z | src/config/svc-monitor/svc_monitor/services/loadbalancer/drivers/ha_proxy/custom_attributes/haproxy_validator.py | jnpr-pranav/contrail-controller | 428eee37c28c31830fd764315794e1a6e52720c1 | [
"Apache-2.0"
] | null | null | null | src/config/svc-monitor/svc_monitor/services/loadbalancer/drivers/ha_proxy/custom_attributes/haproxy_validator.py | jnpr-pranav/contrail-controller | 428eee37c28c31830fd764315794e1a6e52720c1 | [
"Apache-2.0"
] | 21 | 2020-08-25T12:48:42.000Z | 2022-03-22T04:32:18.000Z | from builtins import str
from builtins import range
from builtins import object
import logging
import inspect
import os
class CustomAttr(object):
"""This type handles non-flat data-types like
int, str, bool.
"""
def __init__(self, key, value):
self._value = value
self._key = key
... | 39.269231 | 79 | 0.479595 | 524 | 0.171074 | 0 | 0 | 0 | 0 | 0 | 0 | 369 | 0.12047 |
c74949362f59fa0673a80dd80fbdd7f5a0af70d8 | 1,405 | py | Python | python/janitor/typecache.py | monkeyman79/janitor | a41187c1b58b736a5de2b0b30eb51d85a65b17c3 | [
"MIT"
] | 2 | 2018-11-06T13:02:27.000Z | 2021-02-22T19:07:22.000Z | python/janitor/typecache.py | monkeyman79/janitor | a41187c1b58b736a5de2b0b30eb51d85a65b17c3 | [
"MIT"
] | 1 | 2016-09-28T12:24:43.000Z | 2016-09-28T13:47:35.000Z | python/janitor/typecache.py | monkeyman79/janitor | a41187c1b58b736a5de2b0b30eb51d85a65b17c3 | [
"MIT"
] | null | null | null |
import gdb
class TypeCache(object):
def __init__(self):
self.cache = {}
self.intptr_type = False
def clear(self):
self.cache = {}
self.intptr_type = False
def get_type(self, typename):
if typename in self.cache:
return self.cache[typename]
... | 26.509434 | 59 | 0.540925 | 1,366 | 0.972242 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.035587 |
c74a04a139575fe8c546ea452d0215d058b4fa6f | 805 | py | Python | key_phrase.py | Santara/autoSLR | 8c524b8a0023d1434cb7be4e110103605d0d2cab | [
"MIT"
] | 1 | 2020-08-12T23:17:38.000Z | 2020-08-12T23:17:38.000Z | key_phrase.py | Santara/autoSLR | 8c524b8a0023d1434cb7be4e110103605d0d2cab | [
"MIT"
] | null | null | null | key_phrase.py | Santara/autoSLR | 8c524b8a0023d1434cb7be4e110103605d0d2cab | [
"MIT"
] | 1 | 2019-08-29T09:36:46.000Z | 2019-08-29T09:36:46.000Z | import os
import sys
directory = sys.argv[1]
outfile = open("key_phrases.csv","w")
files = {}
for filename in os.listdir(directory):
text=[]
with open(os.path.join(directory, filename)) as f:
text=[l.strip() for l in f if len(l.strip())>2]
data=''
for t in text:
if len(t.split()) > 1:
data = data+'. '+t.s... | 25.15625 | 105 | 0.695652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.207453 |
c74ab0b0f80631d9cb06c8040217e1f860dd10c2 | 1,127 | py | Python | tests/test_utils.py | aced-differentiate/dft-input-gen | 14bee323517714c433682bad2dcb897b223dd5ec | [
"Apache-2.0"
] | 1 | 2021-04-15T09:54:52.000Z | 2021-04-15T09:54:52.000Z | tests/test_utils.py | CitrineInformatics/dft-input-gen | 14bee323517714c433682bad2dcb897b223dd5ec | [
"Apache-2.0"
] | 1 | 2021-01-28T22:12:07.000Z | 2021-01-28T22:12:07.000Z | tests/test_utils.py | aced-differentiate/dft-input-gen | 14bee323517714c433682bad2dcb897b223dd5ec | [
"Apache-2.0"
] | 2 | 2020-12-08T18:14:13.000Z | 2020-12-18T19:01:11.000Z | """Unit tests for helper utilities in :mod:`dftinputgen.utils`."""
import os
import pytest
from ase import io as ase_io
from dftinputgen.utils import get_elem_symbol
from dftinputgen.utils import read_crystal_structure
from dftinputgen.utils import get_kpoint_grid_from_spacing
from dftinputgen.utils import DftInputG... | 28.897436 | 75 | 0.754215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 0.190772 |
c74b3631946b737bd9c4684c29b89101e0d8c544 | 6,044 | py | Python | core/models.py | nforesperance/Django-Channels-ChatApp | b244954206214f7dc1b8793291d957a5bf80f0e2 | [
"MIT"
] | 2 | 2020-07-18T05:19:36.000Z | 2020-07-18T05:19:38.000Z | core/models.py | nforesperance/Django-Channels-ChatApp | b244954206214f7dc1b8793291d957a5bf80f0e2 | [
"MIT"
] | 4 | 2021-03-19T02:37:45.000Z | 2021-06-04T23:02:41.000Z | core/models.py | nforesperance/Django-Channels-ChatApp | b244954206214f7dc1b8793291d957a5bf80f0e2 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db.models import (Model, TextField, DateTimeField, ForeignKey,
CASCADE)
from asgiref.sync import async_to_sync
from channels.layers import get_channel_layer
from django.db import models
import json
class MessageModel(Model):
""... | 32.67027 | 93 | 0.603077 | 5,752 | 0.951688 | 0 | 0 | 0 | 0 | 0 | 0 | 1,342 | 0.222038 |
c74bed1c84a21dce43450d469d8869b0372e61e0 | 15,798 | py | Python | backup/model.py | jsikyoon/ASNP-RMR | ddd3e586b01ba3a7f8b3721582aca7403649400e | [
"MIT"
] | 8 | 2020-07-21T02:49:54.000Z | 2021-09-28T02:22:37.000Z | backup/model.py | jsikyoon/ASNP-RMR | ddd3e586b01ba3a7f8b3721582aca7403649400e | [
"MIT"
] | null | null | null | backup/model.py | jsikyoon/ASNP-RMR | ddd3e586b01ba3a7f8b3721582aca7403649400e | [
"MIT"
] | 1 | 2020-09-02T06:39:49.000Z | 2020-09-02T06:39:49.000Z | import tensorflow as tf
import numpy as np
# utility methods
def batch_mlp(input, output_sizes, variable_scope):
"""Apply MLP to the final axis of a 3D tensor (reusing already defined MLPs).
Args:
input: input tensor of shape [B,n,d_in].
output_sizes: An iterable containing the output sizes of the MLP a... | 36.068493 | 81 | 0.660653 | 11,330 | 0.717179 | 0 | 0 | 0 | 0 | 0 | 0 | 8,469 | 0.536081 |
c74e4682a52e8afc4e35ad4f69f1a64dccbd1416 | 3,520 | py | Python | minotaur/_minotaur.py | giannitedesco/minotaur | 1a043818775e14054cc3467ba6d1c07cbf128c6b | [
"Apache-2.0"
] | 172 | 2020-08-24T14:34:00.000Z | 2021-12-29T21:56:33.000Z | minotaur/_minotaur.py | giannitedesco/minotaur | 1a043818775e14054cc3467ba6d1c07cbf128c6b | [
"Apache-2.0"
] | 3 | 2020-08-25T13:46:30.000Z | 2021-02-27T01:25:38.000Z | minotaur/_minotaur.py | giannitedesco/minotaur | 1a043818775e14054cc3467ba6d1c07cbf128c6b | [
"Apache-2.0"
] | 4 | 2020-08-24T17:21:18.000Z | 2021-12-29T21:57:42.000Z | from typing import Dict, Tuple, Optional
from pathlib import Path
import asyncio
from ._mask import Mask
from ._event import Event
from ._base import InotifyBase
__all__ = ('Minotaur',)
class Notification:
__slots__ = (
'_path',
'_type',
'_isdir',
'_unmount',
'_qoverflow... | 26.268657 | 75 | 0.559659 | 3,325 | 0.944602 | 0 | 0 | 552 | 0.156818 | 250 | 0.071023 | 651 | 0.184943 |
c7508c28b649dccba896625618759517bbe0fd13 | 161 | py | Python | pyclustering/container/examples/__init__.py | JosephChataignon/pyclustering | bf4f51a472622292627ec8c294eb205585e50f52 | [
"BSD-3-Clause"
] | 1,013 | 2015-01-26T19:50:14.000Z | 2022-03-31T07:38:48.000Z | pyclustering/container/examples/__init__.py | peterlau0626/pyclustering | bf4f51a472622292627ec8c294eb205585e50f52 | [
"BSD-3-Clause"
] | 542 | 2015-01-20T16:44:32.000Z | 2022-01-29T14:57:20.000Z | pyclustering/container/examples/__init__.py | peterlau0626/pyclustering | bf4f51a472622292627ec8c294eb205585e50f52 | [
"BSD-3-Clause"
] | 262 | 2015-03-19T07:28:12.000Z | 2022-03-30T07:28:24.000Z | """!
@brief Collection of examples devoted to containers.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
""" | 17.888889 | 53 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 1 |
c751066d68d4e91afb71f1ee11d13e9bcbb998a8 | 8,802 | py | Python | novelty-detection/train_wood_vgg19.py | matherm/python-data-science | bdb49b18c5ef6044f8a9e6f95c81d5f7bb1d511f | [
"MIT"
] | 1 | 2020-03-24T09:22:04.000Z | 2020-03-24T09:22:04.000Z | novelty-detection/train_wood_vgg19.py | matherm/python-data-science | bdb49b18c5ef6044f8a9e6f95c81d5f7bb1d511f | [
"MIT"
] | 1 | 2020-06-16T14:42:29.000Z | 2020-06-16T14:42:29.000Z | novelty-detection/train_wood_vgg19.py | matherm/python-data-science | bdb49b18c5ef6044f8a9e6f95c81d5f7bb1d511f | [
"MIT"
] | null | null | null | import argparse
import sys
import torch
import numpy as np
import torch.nn as nn
from torch.utils.data import DataLoader
from torchvision.datasets import MNIST
from torchvision.datasets import CIFAR10
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(descripti... | 34.249027 | 213 | 0.546353 | 464 | 0.052715 | 0 | 0 | 0 | 0 | 0 | 0 | 1,888 | 0.214497 |
c7511256bf0b0f8d7c0f1ccc084e2e9144ad8ab3 | 2,948 | py | Python | sample_architectures/cnn.py | hvarS/PyTorch-Refer | 020445e3ae1f3627f39e1ab957cdff44a2127289 | [
"MIT"
] | null | null | null | sample_architectures/cnn.py | hvarS/PyTorch-Refer | 020445e3ae1f3627f39e1ab957cdff44a2127289 | [
"MIT"
] | null | null | null | sample_architectures/cnn.py | hvarS/PyTorch-Refer | 020445e3ae1f3627f39e1ab957cdff44a2127289 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""CNN.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1Tq6HUya2PrC0SmyOIFo2c_eVtguRED2q
"""
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataL... | 28.07619 | 128 | 0.700136 | 701 | 0.237788 | 0 | 0 | 0 | 0 | 0 | 0 | 497 | 0.168589 |
c7551a216f55773fcf2668fcef4ad367660f3169 | 21,599 | py | Python | aispace/layers/callbacks/qa_evaluators.py | SmileGoat/AiSpace | 35fc120667e4263c99b300815e0bf018f5064a40 | [
"Apache-2.0"
] | 32 | 2020-01-16T07:59:03.000Z | 2022-03-31T09:24:00.000Z | aispace/layers/callbacks/qa_evaluators.py | SmileGoat/AiSpace | 35fc120667e4263c99b300815e0bf018f5064a40 | [
"Apache-2.0"
] | 9 | 2020-06-05T03:27:06.000Z | 2022-03-12T01:00:17.000Z | aispace/layers/callbacks/qa_evaluators.py | SmileGoat/AiSpace | 35fc120667e4263c99b300815e0bf018f5064a40 | [
"Apache-2.0"
] | 3 | 2020-06-09T02:22:50.000Z | 2021-07-19T06:07:07.000Z | # -*- coding: utf-8 -*-
# @Time : 2020-07-30 15:06
# @Author : yingyuankai
# @Email : yingyuankai@aliyun.com
# @File : qa_evaluators.py
import os
import logging
import numpy as np
import tensorflow as tf
import json
from pprint import pprint
from collections import defaultdict
from aispace.utils.eval_utils ... | 44.997917 | 146 | 0.570582 | 20,969 | 0.970832 | 0 | 0 | 0 | 0 | 0 | 0 | 3,931 | 0.181999 |
c75685d19bc8be9c76eb30777f9bd2a54b73db11 | 682 | py | Python | tests/conftest.py | junjunjunk/torchgpipe | 3db11e1da0fc432eb3f3807ddcb22967973c8b28 | [
"Apache-2.0"
] | 532 | 2019-05-27T09:23:04.000Z | 2022-03-31T04:07:55.000Z | tests/conftest.py | junjunjunk/torchgpipe | 3db11e1da0fc432eb3f3807ddcb22967973c8b28 | [
"Apache-2.0"
] | 29 | 2019-07-01T19:49:54.000Z | 2021-11-28T00:51:00.000Z | tests/conftest.py | junjunjunk/torchgpipe | 3db11e1da0fc432eb3f3807ddcb22967973c8b28 | [
"Apache-2.0"
] | 68 | 2019-05-27T09:27:32.000Z | 2022-03-27T13:52:18.000Z | import pytest
import torch
@pytest.fixture(autouse=True)
def manual_seed_zero():
torch.manual_seed(0)
@pytest.fixture(scope='session')
def cuda_sleep():
# Warm-up CUDA.
torch.empty(1, device='cuda')
# From test/test_cuda.py in PyTorch.
start = torch.cuda.Event(enable_timing=True)
end = torc... | 22 | 62 | 0.696481 | 0 | 0 | 0 | 0 | 578 | 0.847507 | 0 | 0 | 95 | 0.139296 |
c756e2f724651746fcaf020b50f3e0f2bdeb6442 | 54,090 | py | Python | lib/python/treadmill/scheduler/__init__.py | drienyov/treadmill | ce21537cd9a2fdb0567ac2aa3de1afcb2f6861de | [
"Apache-2.0"
] | null | null | null | lib/python/treadmill/scheduler/__init__.py | drienyov/treadmill | ce21537cd9a2fdb0567ac2aa3de1afcb2f6861de | [
"Apache-2.0"
] | null | null | null | lib/python/treadmill/scheduler/__init__.py | drienyov/treadmill | ce21537cd9a2fdb0567ac2aa3de1afcb2f6861de | [
"Apache-2.0"
] | null | null | null | """Treadmill hierarchical scheduler.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
import collections
import datetime
import heapq
import itertools
import logging
import operator
import sys
import tim... | 30.016648 | 79 | 0.578203 | 49,666 | 0.91821 | 4,322 | 0.079904 | 956 | 0.017674 | 0 | 0 | 13,729 | 0.253818 |
c758c753c3644ae1a4c381597cfe0cc82c7e378b | 1,260 | py | Python | banners/bannerRan.py | gothyyy/AIDungeon | c198371c34d914e9d996559ef850c87a76f572c4 | [
"MIT"
] | 1 | 2019-12-30T21:45:06.000Z | 2019-12-30T21:45:06.000Z | banners/bannerRan.py | gothyyy/AIDungeon | c198371c34d914e9d996559ef850c87a76f572c4 | [
"MIT"
] | null | null | null | banners/bannerRan.py | gothyyy/AIDungeon | c198371c34d914e9d996559ef850c87a76f572c4 | [
"MIT"
] | null | null | null | import random
import sys
import time
import json
import os
import warnings
import numpy as np
import glob, os
stat_mini = 1
stat_max = 0
listBanners = []
#HOW TO USE IT:
#1 copy the opening.txt
#2 remove the graphic (but do keep top logo for consistency)
#3 add ASCII art that is 78 or less characters in widt... | 14.823529 | 86 | 0.640476 | 157 | 0.124603 | 0 | 0 | 0 | 0 | 0 | 0 | 366 | 0.290476 |
c758e049e83a8786ae62f5c9ab2545ec4624de3e | 511 | py | Python | BondMarket/app/theme_lib.py | Meith0717/BondMarket | 83d99bd5930758e73b4fe74a92e706c7bc0eadb6 | [
"Apache-2.0"
] | null | null | null | BondMarket/app/theme_lib.py | Meith0717/BondMarket | 83d99bd5930758e73b4fe74a92e706c7bc0eadb6 | [
"Apache-2.0"
] | null | null | null | BondMarket/app/theme_lib.py | Meith0717/BondMarket | 83d99bd5930758e73b4fe74a92e706c7bc0eadb6 | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
@dataclass
class theme:
name : str
bg_color : str
fg_color : str
lb_color : str
ttk_theme : str
LIGHT = theme(
name='LIGHT',
bg_color=None,
fg_color='black',
lb_color='#f0f0f0',
ttk_them... | 19.653846 | 35 | 0.485323 | 127 | 0.248532 | 0 | 0 | 139 | 0.272016 | 0 | 0 | 71 | 0.138943 |
c7592054e40573b08b4d8a7a1efd9326b5695f4f | 3,877 | py | Python | run.py | rimijoker/CA-MTL | 068e25e0860a8ec81462018126eace4c004bacd4 | [
"MIT"
] | 1 | 2021-08-03T03:54:02.000Z | 2021-08-03T03:54:02.000Z | run.py | rimijoker/CA-MTL | 068e25e0860a8ec81462018126eace4c004bacd4 | [
"MIT"
] | null | null | null | run.py | rimijoker/CA-MTL | 068e25e0860a8ec81462018126eace4c004bacd4 | [
"MIT"
] | 1 | 2021-07-31T09:44:00.000Z | 2021-07-31T09:44:00.000Z | import os
import sys
import re
import json
import logging
import torch
from transformers import (
HfArgumentParser,
set_seed,
AutoTokenizer,
AutoConfig,
EvalPrediction,
)
from src.model.ca_mtl import CaMtl, CaMtlArguments
from src.utils.misc import MultiTaskDataArguments, Split
from src.mtl_traine... | 26.923611 | 98 | 0.660562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 348 | 0.08976 |
c75af988694e7b9961b260a9f014fab177797bfa | 1,033 | py | Python | examples/readWebsocket.py | uadlq/PhyPiDAQ-PiOS11 | fc6060551be2cc0143a157081341bf3c338d9fbd | [
"BSD-2-Clause"
] | null | null | null | examples/readWebsocket.py | uadlq/PhyPiDAQ-PiOS11 | fc6060551be2cc0143a157081341bf3c338d9fbd | [
"BSD-2-Clause"
] | null | null | null | examples/readWebsocket.py | uadlq/PhyPiDAQ-PiOS11 | fc6060551be2cc0143a157081341bf3c338d9fbd | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
"""Read data in CSV format from websocket
"""
import sys
import asyncio
import websockets
# read url from command line
if len(sys.argv) >= 2:
uri = sys.argv[1]
else:
# host url and port
uri = "ws://localhost:8314"
print("*==* ", sys.argv[0], " Lese Daten von url ", uri)
async def ... | 25.195122 | 72 | 0.580833 | 0 | 0 | 0 | 0 | 0 | 0 | 648 | 0.627299 | 372 | 0.360116 |
c75b6da97a2671884ced55ad3cbef590baf2e5c6 | 2,187 | py | Python | settings/__init__.py | arcana261/python-grpc-boilerplate | dd20767ad5540a49e1db802ce578c7b8e416ccbb | [
"Unlicense"
] | null | null | null | settings/__init__.py | arcana261/python-grpc-boilerplate | dd20767ad5540a49e1db802ce578c7b8e416ccbb | [
"Unlicense"
] | null | null | null | settings/__init__.py | arcana261/python-grpc-boilerplate | dd20767ad5540a49e1db802ce578c7b8e416ccbb | [
"Unlicense"
] | null | null | null | import os
import sys
import itertools
import json
_NONE = object()
class SettingManager:
_sentry = object()
def __init__(self):
self.env = os.getenv('ENV', 'prd')
try:
self._default = __import__('settings.default', fromlist=['*'])
except ModuleNotFoundError:
... | 27.683544 | 99 | 0.577503 | 2,073 | 0.947874 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.037494 |
c75c60f75fce7285b991ad22486e1b1b13a02fed | 1,990 | py | Python | roblox/partials/partialgroup.py | speer-kinjo/ro.py | 2d5b80aec8fd143b11101fbbfdf3b557f798a27f | [
"MIT"
] | 28 | 2021-11-04T11:13:38.000Z | 2022-03-11T05:00:16.000Z | roblox/partials/partialgroup.py | speer-kinjo/ro.py | 2d5b80aec8fd143b11101fbbfdf3b557f798a27f | [
"MIT"
] | 12 | 2021-11-24T06:25:24.000Z | 2022-03-18T14:37:01.000Z | roblox/partials/partialgroup.py | speer-kinjo/ro.py | 2d5b80aec8fd143b11101fbbfdf3b557f798a27f | [
"MIT"
] | 21 | 2021-10-20T16:36:55.000Z | 2022-03-27T21:43:53.000Z | """
This file contains partial objects related to Roblox groups.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from ..bases.basegroup import BaseGroup
from ..bases.baseuser import BaseUser
if TYPE_CHECKING:
from ..client import Client
class AssetPartialGroup(BaseGroup):
"""
R... | 28.028169 | 91 | 0.628643 | 1,715 | 0.861809 | 0 | 0 | 0 | 0 | 0 | 0 | 1,141 | 0.573367 |
c75d41f3ecd90250dc9544657aba89378f5765d0 | 2,150 | py | Python | services/UserService.py | erginbalta/FarmChain | a542d19212f176b7b5d12806078459da105e5afa | [
"Apache-2.0"
] | 1 | 2021-01-16T14:38:21.000Z | 2021-01-16T14:38:21.000Z | services/UserService.py | erginbalta/FarmChain | a542d19212f176b7b5d12806078459da105e5afa | [
"Apache-2.0"
] | null | null | null | services/UserService.py | erginbalta/FarmChain | a542d19212f176b7b5d12806078459da105e5afa | [
"Apache-2.0"
] | 1 | 2020-07-23T04:00:07.000Z | 2020-07-23T04:00:07.000Z | import mysql.connector
import socket
from contextlib import closing
import json
import random
packetType= ["INF","TRN","USR"]
database = mysql.connector.connect(
host="localhost",
user="root",
port="3307",
passwd="ergin00000",
database="farmchain"
)
def userIdCreator():
data = []
numericId... | 26.875 | 119 | 0.676744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.063721 |
c75e39b34cd2c6335e68141ae306111fa4b684be | 10,238 | py | Python | tests/blackbox/access_settings/test_bb_access_settings.py | csanders-git/waflz | ec8fc7c845f20a2a8c757d13845ba22a6d7c5b28 | [
"Apache-2.0"
] | 1 | 2019-03-16T09:02:58.000Z | 2019-03-16T09:02:58.000Z | tests/blackbox/access_settings/test_bb_access_settings.py | csanders-git/waflz | ec8fc7c845f20a2a8c757d13845ba22a6d7c5b28 | [
"Apache-2.0"
] | null | null | null | tests/blackbox/access_settings/test_bb_access_settings.py | csanders-git/waflz | ec8fc7c845f20a2a8c757d13845ba22a6d7c5b28 | [
"Apache-2.0"
] | 1 | 2021-04-22T09:43:46.000Z | 2021-04-22T09:43:46.000Z | #!/usr/bin/python
'''Test WAF Access settings'''
#TODO: make so waflz_server only runs once and then can post to it
# ------------------------------------------------------------------------------
# Imports
# ------------------------------------------------------------------------------
import pytest
import subprocess... | 49.458937 | 117 | 0.511428 | 0 | 0 | 0 | 0 | 1,097 | 0.10715 | 0 | 0 | 5,441 | 0.531451 |
c75ec65b0817a875da33fd517bd4f04f459ffba4 | 2,852 | py | Python | cosmosis/runtime/analytics.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-09-15T10:10:26.000Z | 2021-09-15T10:10:26.000Z | cosmosis/runtime/analytics.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | null | null | null | cosmosis/runtime/analytics.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-06-11T15:29:43.000Z | 2021-06-11T15:29:43.000Z | #coding: utf-8
from __future__ import print_function
from builtins import zip
from builtins import object
from cosmosis import output as output_module
import numpy as np
import sys
import os
class Analytics(object):
def __init__(self, params, pool=None):
self.params = params
self.pool = pool
... | 31.688889 | 73 | 0.543829 | 2,657 | 0.931627 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.130084 |
c76014b2a087d9f2456ffc8e8847fb9b397481a4 | 8,148 | py | Python | sdcc2elf.py | Vector35/llil_transpiler | 6f6f368d34cb872460ad1634ddcbc4207276feb6 | [
"MIT"
] | 14 | 2019-08-23T13:49:07.000Z | 2021-12-24T20:09:57.000Z | sdcc2elf.py | Vector35/llil_transpiler | 6f6f368d34cb872460ad1634ddcbc4207276feb6 | [
"MIT"
] | null | null | null | sdcc2elf.py | Vector35/llil_transpiler | 6f6f368d34cb872460ad1634ddcbc4207276feb6 | [
"MIT"
] | 1 | 2021-12-24T20:10:00.000Z | 2021-12-24T20:10:00.000Z | #!/usr/bin/env python
#
# convert SDCC .rel files to 32-bit ELF relocatable
#
# resulting file is simple:
#
# ------------------------
# ELF header
# ------------------------
# .text section
# .shstrtab section
# .strtab section
# .symtab section
# ------------------------
# NULL elf32_shdr
# .text elf32_shdr
# .shstrt... | 27.714286 | 88 | 0.567624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,850 | 0.349779 |
c760d11b6bcb337986c7f02b8372675729e8a684 | 3,743 | py | Python | eval.py | nikinsta/deep-siamese-text-similarity-on-python-3 | 80fffd86da1d9f6bc0cb154a9415ff767d944777 | [
"MIT"
] | null | null | null | eval.py | nikinsta/deep-siamese-text-similarity-on-python-3 | 80fffd86da1d9f6bc0cb154a9415ff767d944777 | [
"MIT"
] | null | null | null | eval.py | nikinsta/deep-siamese-text-similarity-on-python-3 | 80fffd86da1d9f6bc0cb154a9415ff767d944777 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
import tensorflow as tf
import numpy as np
import os
import time
import datetime
from tensorflow.contrib import learn
from input_helpers import InputHelper
# Parameters
# ==================================================
# Eval Parameters
tf.flags.DEFINE_integer("batch_size", 64, "Batch Size (... | 42.05618 | 167 | 0.696767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 0.331285 |
c76173ed74a504071f1116fc3a7dc17a1c832c39 | 4,626 | py | Python | accounts/views.py | nikhiljohn10/django-auth | 01d97e8173436c3446f039cfa6472ece3cd9f96a | [
"MIT"
] | null | null | null | accounts/views.py | nikhiljohn10/django-auth | 01d97e8173436c3446f039cfa6472ece3cd9f96a | [
"MIT"
] | null | null | null | accounts/views.py | nikhiljohn10/django-auth | 01d97e8173436c3446f039cfa6472ece3cd9f96a | [
"MIT"
] | null | null | null | from django.urls import reverse
from django.conf import settings
from django.contrib import messages
from django.shortcuts import render, redirect
from django.core.mail import send_mail
from django.contrib.auth import login, logout, views, authenticate
from django.views.generic.edit import CreateView
from django.contri... | 31.684932 | 78 | 0.671422 | 1,152 | 0.249027 | 0 | 0 | 2,291 | 0.495244 | 0 | 0 | 734 | 0.158668 |
c7651286d18c5a48356115767024669710aad666 | 29 | py | Python | python/testData/intentions/PyAnnotateVariableTypeIntentionTest/annotationTupleType.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/intentions/PyAnnotateVariableTypeIntentionTest/annotationTupleType.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/intentions/PyAnnotateVariableTypeIntentionTest/annotationTupleType.py | truthiswill/intellij-community | fff88cfb0dc168eea18ecb745d3e5b93f57b0b95 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | v<caret>ar = (1, 'foo', None) | 29 | 29 | 0.551724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.172414 |
c7655b5b6676c78858c562c5f53a9ea086d6bb5c | 228 | py | Python | bot/venv/lib/python3.7/site-packages/scipy/version.py | manaccac/sc2_bot | 3aa8b3711378b71fd0a44662cdd7148846e39530 | [
"MIT"
] | 76 | 2020-07-06T14:44:05.000Z | 2022-02-14T15:30:21.000Z | bot/venv/lib/python3.7/site-packages/scipy/version.py | manaccac/sc2_bot | 3aa8b3711378b71fd0a44662cdd7148846e39530 | [
"MIT"
] | 37 | 2020-10-20T08:30:53.000Z | 2020-12-22T13:15:45.000Z | bot/venv/lib/python3.7/site-packages/scipy/version.py | manaccac/sc2_bot | 3aa8b3711378b71fd0a44662cdd7148846e39530 | [
"MIT"
] | 15 | 2020-11-30T22:12:22.000Z | 2020-12-09T01:32:48.000Z |
# THIS FILE IS GENERATED FROM SCIPY SETUP.PY
short_version = '1.5.4'
version = '1.5.4'
full_version = '1.5.4'
git_revision = '19acfed431060aafaa963f7e530c95e70cd4b85c'
release = True
if not release:
version = full_version
| 20.727273 | 57 | 0.745614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.469298 |
c765b8fb3017f33809adece1e8c0d5771ccc24b7 | 356 | py | Python | emrichen/input/__init__.py | jbek7/emrichen | b6b8327e35cb2b9f3da49519110ecc766a9ad741 | [
"MIT"
] | null | null | null | emrichen/input/__init__.py | jbek7/emrichen | b6b8327e35cb2b9f3da49519110ecc766a9ad741 | [
"MIT"
] | null | null | null | emrichen/input/__init__.py | jbek7/emrichen | b6b8327e35cb2b9f3da49519110ecc766a9ad741 | [
"MIT"
] | null | null | null | from typing import TextIO, Union
from .json import load_json
from .yaml import load_yaml
PARSERS = {
'yaml': load_yaml,
'json': load_json,
}
def parse(data: Union[TextIO, str], format: str):
if format in PARSERS:
return PARSERS[format](data)
else:
raise ValueError('No parser for form... | 20.941176 | 79 | 0.676966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.120787 |
c7675ba7953da5231174f58bf3d8e9f9039a7d72 | 5,668 | py | Python | sdk/python/pulumi_aws_native/workspaces/get_workspace.py | pulumi/pulumi-aws-native | 1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3 | [
"Apache-2.0"
] | 29 | 2021-09-30T19:32:07.000Z | 2022-03-22T21:06:08.000Z | sdk/python/pulumi_aws_native/workspaces/get_workspace.py | pulumi/pulumi-aws-native | 1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3 | [
"Apache-2.0"
] | 232 | 2021-09-30T19:26:26.000Z | 2022-03-31T23:22:06.000Z | sdk/python/pulumi_aws_native/workspaces/get_workspace.py | pulumi/pulumi-aws-native | 1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3 | [
"Apache-2.0"
] | 4 | 2021-11-10T19:42:01.000Z | 2022-02-05T10:15:49.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... | 41.985185 | 211 | 0.711009 | 3,904 | 0.688779 | 512 | 0.090332 | 3,611 | 0.637085 | 0 | 0 | 1,336 | 0.235709 |
c768daaabaf9920391bc3d2ee09b1a53e4d2788c | 24 | py | Python | testtools/__init__.py | afy2103/spambayes-9-10-Frozen | 383db71e3b7b2141975cf66e6d223bb437511776 | [
"PSF-2.0"
] | null | null | null | testtools/__init__.py | afy2103/spambayes-9-10-Frozen | 383db71e3b7b2141975cf66e6d223bb437511776 | [
"PSF-2.0"
] | null | null | null | testtools/__init__.py | afy2103/spambayes-9-10-Frozen | 383db71e3b7b2141975cf66e6d223bb437511776 | [
"PSF-2.0"
] | null | null | null | __author__ = 'AlexYang'
| 12 | 23 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.416667 |
c768fa044e6b10f72fbfbfa85435ada393a83af3 | 673 | py | Python | tests/test_distance.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 1 | 2018-05-30T15:33:26.000Z | 2018-05-30T15:33:26.000Z | tests/test_distance.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | null | null | null | tests/test_distance.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from quail.distance import *
import numpy as np
import pytest
from scipy.spatial.distance import cdist
def test_match():
a = 'A'
b = 'B'
assert np.equal(match(a, b), 1)
def test_euclidean_list():
a = [0, 1, 0]
b = [0, 1, 0]
assert np.equal(euclidean(a, b), 0)
def test... | 21.03125 | 41 | 0.580981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.043091 |
c769abd3fe7f81479f81afe9e3156873d7f5b0e2 | 17,050 | py | Python | utils/manisfestManager.py | ovitrac/pizza3 | 0f4dc6e362fd8665c72ec13328df05f9119dfbc3 | [
"MIT"
] | 1 | 2022-02-07T14:10:10.000Z | 2022-02-07T14:10:10.000Z | utils/manisfestManager.py | ovitrac/Pizza3 | 0f4dc6e362fd8665c72ec13328df05f9119dfbc3 | [
"MIT"
] | null | null | null | utils/manisfestManager.py | ovitrac/Pizza3 | 0f4dc6e362fd8665c72ec13328df05f9119dfbc3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
###############################################################################
# #
# manifestManager.py #
# ... | 44.285714 | 130 | 0.436716 | 12,937 | 0.758768 | 0 | 0 | 0 | 0 | 0 | 0 | 6,275 | 0.368035 |
c76b9236e24c24d26fa468bcec0fccac39b536c2 | 27,999 | py | Python | pysnmp/ZYXEL-AclV2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/ZYXEL-AclV2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/ZYXEL-AclV2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module ZYXEL-AclV2-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZYXEL-AclV2-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:43:03 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... | 144.324742 | 5,641 | 0.792314 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,564 | 0.12729 |
c76c70c2e310ab6dd7d23270c230a7b48cbff5cf | 729 | py | Python | temperature.py | rhwlr/TEST_PRELIM_SKILLS_EXAM | a776ab7631fac8bed1aea0470918e6250752ce8e | [
"MIT"
] | null | null | null | temperature.py | rhwlr/TEST_PRELIM_SKILLS_EXAM | a776ab7631fac8bed1aea0470918e6250752ce8e | [
"MIT"
] | null | null | null | temperature.py | rhwlr/TEST_PRELIM_SKILLS_EXAM | a776ab7631fac8bed1aea0470918e6250752ce8e | [
"MIT"
] | null | null | null | class Temperature:
def __init__(self, kelvin=None, celsius=None, fahrenheit=None):
values = [x for x in [kelvin, celsius, fahrenheit] if x]
if len(values) < 1:
raise ValueError('Need argument')
if len(values) > 1:
raise ValueError('Only one argument')
if ce... | 29.16 | 72 | 0.562414 | 706 | 0.96845 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.156379 |
c76ca1375282328ef3e6038f93b1edf1d46d7f49 | 1,728 | py | Python | af/shovel/test_canning.py | mimi89999/pipeline | 3e9eaf74c0966df907a230fbe89407c2bbc3d930 | [
"BSD-3-Clause"
] | null | null | null | af/shovel/test_canning.py | mimi89999/pipeline | 3e9eaf74c0966df907a230fbe89407c2bbc3d930 | [
"BSD-3-Clause"
] | null | null | null | af/shovel/test_canning.py | mimi89999/pipeline | 3e9eaf74c0966df907a230fbe89407c2bbc3d930 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python2.7
import unittest
import canning
class TestNop(unittest.TestCase):
def test_nop(self):
canning.NopTeeFd.write("asdf")
class TestSlice(unittest.TestCase):
REPORT = "20130505T065614Z-VN-AS24173-dns_consistency-no_report_id-0.1.0-probe.yaml"
@staticmethod
def rpt(year)... | 30.315789 | 100 | 0.609375 | 1,615 | 0.934606 | 0 | 0 | 188 | 0.108796 | 0 | 0 | 273 | 0.157986 |
c76d58f2d02929d5eb4690fddd86e4d2f3a6dc3d | 244 | py | Python | Exercicios/ex061.py | jlsmirandela/Curso_Python | 2419b68d335a2a42beb3e98fb93552aca1264cae | [
"MIT"
] | null | null | null | Exercicios/ex061.py | jlsmirandela/Curso_Python | 2419b68d335a2a42beb3e98fb93552aca1264cae | [
"MIT"
] | null | null | null | Exercicios/ex061.py | jlsmirandela/Curso_Python | 2419b68d335a2a42beb3e98fb93552aca1264cae | [
"MIT"
] | null | null | null | print('-+-' *10)
print(' GERADOR DE PA')
print('+-+' * 10)
c = 1
ter = int(input('Insira o primeiro termo - '))
rz = int(input('Insira a razão - '))
while c <= 10:
print(ter, ' → ', end=' ')
ter += rz
c += 1
print('FIM')
| 14.352941 | 46 | 0.487705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.384615 |
c76e7fcaeb2193c977b2c4ee81febf00b7763cee | 2,175 | py | Python | gpytorch/models/approximate_gp.py | phumm/gpytorch | 4e8042bcecda049956f8f9e823d82ba6340766d5 | [
"MIT"
] | 1 | 2019-09-30T06:51:03.000Z | 2019-09-30T06:51:03.000Z | gpytorch/models/approximate_gp.py | phumm/gpytorch | 4e8042bcecda049956f8f9e823d82ba6340766d5 | [
"MIT"
] | null | null | null | gpytorch/models/approximate_gp.py | phumm/gpytorch | 4e8042bcecda049956f8f9e823d82ba6340766d5 | [
"MIT"
] | 1 | 2020-09-16T16:35:27.000Z | 2020-09-16T16:35:27.000Z | #!/usr/bin/env python3
from .gp import GP
from .pyro import _PyroMixin # This will only contain functions if Pyro is installed
class ApproximateGP(GP, _PyroMixin):
def __init__(self, variational_strategy):
super().__init__()
self.variational_strategy = variational_strategy
def forward(self,... | 38.157895 | 114 | 0.593563 | 2,043 | 0.93931 | 0 | 0 | 0 | 0 | 0 | 0 | 1,406 | 0.646437 |
c76ec369645b0f101be129ffedbb1f290be5f94b | 510 | py | Python | tests/test_ping.py | d-wysocki/flask-resty | 2a5e7d7ea7e2130dce44b8f50625df72ad0dcd19 | [
"MIT"
] | 86 | 2015-11-25T07:09:10.000Z | 2022-02-15T19:40:30.000Z | tests/test_ping.py | d-wysocki/flask-resty | 2a5e7d7ea7e2130dce44b8f50625df72ad0dcd19 | [
"MIT"
] | 180 | 2015-11-24T23:02:53.000Z | 2022-03-31T04:05:38.000Z | tests/test_ping.py | d-wysocki/flask-resty | 2a5e7d7ea7e2130dce44b8f50625df72ad0dcd19 | [
"MIT"
] | 17 | 2015-12-28T11:05:47.000Z | 2022-03-15T12:10:02.000Z | import pytest
from flask_resty import Api
from flask_resty.testing import assert_response
# -----------------------------------------------------------------------------
@pytest.fixture(autouse=True)
def routes(app):
api = Api(app, "/api")
api.add_ping("/ping")
# ------------------------------------------... | 23.181818 | 79 | 0.490196 | 0 | 0 | 0 | 0 | 99 | 0.194118 | 0 | 0 | 180 | 0.352941 |
c76f8dffc967eba49049f65ff4df98887b137c0d | 1,476 | py | Python | tests/test_vetters.py | pllim/exovetter | 75c6ca609331c04a55c0a6b4c858be71a4dfdfea | [
"MIT",
"BSD-3-Clause"
] | null | null | null | tests/test_vetters.py | pllim/exovetter | 75c6ca609331c04a55c0a6b4c858be71a4dfdfea | [
"MIT",
"BSD-3-Clause"
] | null | null | null | tests/test_vetters.py | pllim/exovetter | 75c6ca609331c04a55c0a6b4c858be71a4dfdfea | [
"MIT",
"BSD-3-Clause"
] | null | null | null | from numpy.testing import assert_allclose
from astropy.io import ascii
from astropy import units as u
import lightkurve as lk
from exovetter import const as exo_const
from exovetter import vetters
from exovetter.tce import Tce
from astropy.utils.data import get_pkg_data_filename
def get_wasp18_tce():
tce = Tce... | 25.894737 | 71 | 0.638889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.073848 |
c770f106a56c64793bd9f4e329f2b5bb1fbfddef | 4,270 | py | Python | pyqtgraph/dockarea/DockDrop.py | hishizuka/pyqtgraph | 4820625d93ffb41f324431d0d29b395cf91f339e | [
"MIT"
] | 2,762 | 2015-01-02T14:34:10.000Z | 2022-03-30T14:06:07.000Z | pyqtgraph/dockarea/DockDrop.py | hishizuka/pyqtgraph | 4820625d93ffb41f324431d0d29b395cf91f339e | [
"MIT"
] | 1,901 | 2015-01-12T03:20:30.000Z | 2022-03-31T16:33:36.000Z | pyqtgraph/dockarea/DockDrop.py | hishizuka/pyqtgraph | 4820625d93ffb41f324431d0d29b395cf91f339e | [
"MIT"
] | 1,038 | 2015-01-01T04:05:49.000Z | 2022-03-31T11:57:51.000Z | # -*- coding: utf-8 -*-
from ..Qt import QtCore, QtGui
class DockDrop(object):
"""Provides dock-dropping methods"""
def __init__(self, allowedAreas=None):
object.__init__(self)
if allowedAreas is None:
allowedAreas = ['center', 'right', 'left', 'top', 'bottom']
self.allowedA... | 32.348485 | 91 | 0.525527 | 4,201 | 0.983841 | 0 | 0 | 0 | 0 | 0 | 0 | 667 | 0.156206 |
c7723eb15222900f00b69a2e3a6fb1a9708b8d3e | 871 | py | Python | data/download.py | pyaf/google-ai-open-images-object-detection-track | 3dd19aeeca5eea07de341ade59d1513fda4597ee | [
"MIT"
] | null | null | null | data/download.py | pyaf/google-ai-open-images-object-detection-track | 3dd19aeeca5eea07de341ade59d1513fda4597ee | [
"MIT"
] | null | null | null | data/download.py | pyaf/google-ai-open-images-object-detection-track | 3dd19aeeca5eea07de341ade59d1513fda4597ee | [
"MIT"
] | null | null | null | import os
from subprocess import call
files = ['000002b66c9c498e.jpg', '000002b97e5471a0.jpg', '000002c707c9895e.jpg', '0000048549557964.jpg', '000004f4400f6ec5.jpg', '0000071d71a0a6f6.jpg', '000013ba71c12506.jpg', '000018acd19b4ad3.jpg', '00001bc2c4027449.jpg', '00001bcc92282a38.jpg', '0000201cd362f303.jpg', '0000207... | 67 | 560 | 0.712974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 610 | 0.700344 |
c773836d5d08ecba5ffb7e86e3b25bdc07e2351a | 3,927 | py | Python | cisco-ios-xr/ydk/models/cisco_ios_xr/SNMP_FRAMEWORK_MIB.py | bopopescu/ACI | dd717bc74739eeed4747b3ea9e36b239580df5e1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/SNMP_FRAMEWORK_MIB.py | bopopescu/ACI | dd717bc74739eeed4747b3ea9e36b239580df5e1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/SNMP_FRAMEWORK_MIB.py | bopopescu/ACI | dd717bc74739eeed4747b3ea9e36b239580df5e1 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-07-22T04:04:44.000Z | 2020-07-22T04:04:44.000Z | """ SNMP_FRAMEWORK_MIB
"""
from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk.errors import YError, YModelError
from ydk.errors.error_handler import handle_type_er... | 28.456522 | 158 | 0.595111 | 3,573 | 0.909855 | 0 | 0 | 0 | 0 | 0 | 0 | 1,518 | 0.386555 |
c773cb05d9fdb9aa7ea5543ac5440822be912b9e | 2,941 | py | Python | handlers/redirects.py | Bainky/Ventify | 638486dc5f265a4907a5a193ea2a7c9b44e8e943 | [
"MIT"
] | 6 | 2021-03-11T11:43:17.000Z | 2021-12-08T05:26:20.000Z | handlers/redirects.py | Bainky/Ventify | 638486dc5f265a4907a5a193ea2a7c9b44e8e943 | [
"MIT"
] | null | null | null | handlers/redirects.py | Bainky/Ventify | 638486dc5f265a4907a5a193ea2a7c9b44e8e943 | [
"MIT"
] | 2 | 2021-03-24T05:31:12.000Z | 2021-04-13T22:03:11.000Z | from aiogram.utils.markdown import hide_link
from aiogram.types import CallbackQuery
from loader import dp
from utils import (
get_object,
get_attributes_of_object
)
from keyboards import (
anime_choose_safe_category,
anime_sfw_categories,
anime_nsfw_categories,
animals_categories,
... | 23.717742 | 61 | 0.598776 | 0 | 0 | 0 | 0 | 2,554 | 0.86459 | 2,347 | 0.794516 | 782 | 0.264726 |
c774024668ea75381f4aedf887a584aaa227cbf7 | 320 | py | Python | 1stRound/Medium/322-Coin Change/DP.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | 2 | 2020-04-24T18:36:52.000Z | 2020-04-25T00:15:57.000Z | 1stRound/Medium/322-Coin Change/DP.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | 1stRound/Medium/322-Coin Change/DP.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
M = float('inf')
# dynamic programming
dp = [0] + [M] * amount
for i in range(1, amount+1):
dp[i] = 1 + min([dp[i-c] for c in coins if i >= c] or [M])
return dp[-1] if dp[-1] < M else -1
| 32 | 70 | 0.496875 | 319 | 0.996875 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.08125 |
c77456702d5939c9da605c3d65de2f70c1b95b26 | 8,695 | py | Python | segmentation_test/Scripts/medpy_graphcut_voxel.py | rominashirazi/SpineSegmentation | fb08122ac6d9a598b60aecb4f1a1a2a31fba96ab | [
"MIT"
] | null | null | null | segmentation_test/Scripts/medpy_graphcut_voxel.py | rominashirazi/SpineSegmentation | fb08122ac6d9a598b60aecb4f1a1a2a31fba96ab | [
"MIT"
] | null | null | null | segmentation_test/Scripts/medpy_graphcut_voxel.py | rominashirazi/SpineSegmentation | fb08122ac6d9a598b60aecb4f1a1a2a31fba96ab | [
"MIT"
] | null | null | null | #!c:\users\hooma\documents\github\spinesegmentation\segmentation_test\scripts\python.exe
"""
Execute a graph cut on a voxel image based on some foreground and background markers.
Copyright (C) 2013 Oskar Maier
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General ... | 47.513661 | 328 | 0.692237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,848 | 0.557562 |
c774862e87bf8aaea6f4bb5796d15dd56dc9ae0b | 2,968 | py | Python | _notes/book/conf.py | AstroMatt/astronaut-training-en | 6250af8e10358016dcebee54bb9ad5bc40cfe4d1 | [
"MIT"
] | 1 | 2020-08-08T00:37:28.000Z | 2020-08-08T00:37:28.000Z | _notes/book/conf.py | AstroMatt/astronaut-training-en | 6250af8e10358016dcebee54bb9ad5bc40cfe4d1 | [
"MIT"
] | null | null | null | _notes/book/conf.py | AstroMatt/astronaut-training-en | 6250af8e10358016dcebee54bb9ad5bc40cfe4d1 | [
"MIT"
] | null | null | null | author = 'Matt Harasymczuk'
email = 'matt@astrotech.io'
project = 'Astronaut Training Program'
description = 'Astronaut Training Program'
extensions = [
'sphinx.ext.todo',
'sphinx.ext.imgmath',
]
todo_emit_warnings = False
todo_include_todos = True
exclude_patterns = []
# ------------------------------------... | 24.130081 | 128 | 0.624326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,379 | 0.464623 |
c774cc70f7362fd8daf5037ff3abf0db4ccef896 | 221 | py | Python | tutorial_application/forms.py | yamasakih/django_rdkit_tutorial | 9ac591963976da38cae962de2b98702bbb919cf4 | [
"MIT"
] | 2 | 2018-12-04T00:01:26.000Z | 2021-03-25T08:28:06.000Z | tutorial_application/forms.py | yamasakih/django-rdkit-tutorial | 9ac591963976da38cae962de2b98702bbb919cf4 | [
"MIT"
] | null | null | null | tutorial_application/forms.py | yamasakih/django-rdkit-tutorial | 9ac591963976da38cae962de2b98702bbb919cf4 | [
"MIT"
] | null | null | null | from django_rdkit import models
from django.forms.models import ModelForm
from .models import Compound
class SubstructureSearchForm(ModelForm):
class Meta:
model = Compound
fields = ('molecule', )
| 18.416667 | 41 | 0.723982 | 113 | 0.511312 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.045249 |
c775a30ea8b55f2cd0df98a3a7cc00417a074bda | 18,286 | py | Python | data_structures/trees/tree.py | onyonkaclifford/data-structures-and-algorithms | e0ca4bfa878273d06bf22c303e47762b8ec3870b | [
"MIT"
] | null | null | null | data_structures/trees/tree.py | onyonkaclifford/data-structures-and-algorithms | e0ca4bfa878273d06bf22c303e47762b8ec3870b | [
"MIT"
] | null | null | null | data_structures/trees/tree.py | onyonkaclifford/data-structures-and-algorithms | e0ca4bfa878273d06bf22c303e47762b8ec3870b | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from typing import Any, Generator, Iterable, List, Union
class Empty(Exception):
pass
class Tree(ABC):
"""A tree is a hierarchical collection of nodes containing items, with each node having a unique parent and zero,
one or many children items. The topmost element in ... | 39.240343 | 119 | 0.626107 | 18,187 | 0.994586 | 3,393 | 0.185552 | 1,137 | 0.062179 | 0 | 0 | 8,669 | 0.474079 |
c775ae8fda6ca73f18c286d16c2c597ac2a87d30 | 6,857 | py | Python | nodes/audio.py | sddhrthrt/COVFEFE | bc74ff0b5ee4d675482928110dda81443d4bec63 | [
"Apache-2.0"
] | null | null | null | nodes/audio.py | sddhrthrt/COVFEFE | bc74ff0b5ee4d675482928110dda81443d4bec63 | [
"Apache-2.0"
] | null | null | null | nodes/audio.py | sddhrthrt/COVFEFE | bc74ff0b5ee4d675482928110dda81443d4bec63 | [
"Apache-2.0"
] | null | null | null |
from abc import ABC, abstractmethod
import os
import logging
from nodes.helper import FileOutputNode
from utils import file_utils
from utils import signal_processing as sp
from utils.shell_run import shell_run
from config import OPENSMILE_HOME
class Mp3ToWav(FileOutputNode):
def run(self, mp3_file):
self... | 36.865591 | 147 | 0.624763 | 6,590 | 0.961062 | 0 | 0 | 0 | 0 | 0 | 0 | 2,068 | 0.30159 |
c776010ff719981072eef5b7305ecf5eee272758 | 12,914 | py | Python | texar/torch/modules/pretrained/gpt2.py | VegB/VLN-Transformer | da1fa71e419d8d05c96749445230a77338edba09 | [
"Apache-2.0"
] | 19 | 2020-07-29T15:25:45.000Z | 2022-01-19T17:49:42.000Z | texar/torch/modules/pretrained/gpt2.py | VegB/VLN-Transformer | da1fa71e419d8d05c96749445230a77338edba09 | [
"Apache-2.0"
] | 3 | 2021-02-16T10:26:23.000Z | 2021-06-08T16:50:40.000Z | texar/torch/modules/pretrained/gpt2.py | VegB/VLN-Transformer | da1fa71e419d8d05c96749445230a77338edba09 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Texar Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 40.73817 | 80 | 0.533065 | 11,833 | 0.916292 | 0 | 0 | 0 | 0 | 0 | 0 | 4,553 | 0.352563 |
c77641557884ec300d6f17e14694ed49328569cf | 4,930 | py | Python | Image classifier/train.py | anirudha-bs/Farm_assist | f824b7594befdb1132da2a5c03500a1885c6f036 | [
"MIT"
] | null | null | null | Image classifier/train.py | anirudha-bs/Farm_assist | f824b7594befdb1132da2a5c03500a1885c6f036 | [
"MIT"
] | null | null | null | Image classifier/train.py | anirudha-bs/Farm_assist | f824b7594befdb1132da2a5c03500a1885c6f036 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
from keras import regularizers
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
from tensorflow.keras.preprocessing.image import Ima... | 29.878788 | 130 | 0.683773 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 737 | 0.149493 |
c776c16efce7e570422a5d1752b829a85d1dbe4b | 686 | py | Python | questions/q118_linked_list_loop_removal/code.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | null | null | null | questions/q118_linked_list_loop_removal/code.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | 1 | 2021-05-15T07:56:51.000Z | 2021-05-15T07:56:51.000Z | questions/q118_linked_list_loop_removal/code.py | aadhityasw/Competitive-Programs | 901a48d35f024a3a87c32a45b7f4531e8004a203 | [
"MIT"
] | null | null | null | def removeLoop(head):
ptr = head
ptr2 = head
while True :
if ptr is None or ptr2 is None or ptr2.next is None :
return
ptr = ptr.next
ptr2 = ptr2.next.next
if ptr is ptr2 :
loopNode = ptr
break
ptr = loopNode.next
count = ... | 19.055556 | 61 | 0.478134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c779118332635de2c8ae2f98f07d435f86ed8e76 | 2,361 | py | Python | fastrunner/httprunner3/report/html/gen_report.py | Chankee/AutoTestRunner | 5f329b0dfac91ccd3541aabf46cc997cc4f01da3 | [
"MIT"
] | 1 | 2020-04-30T08:41:19.000Z | 2020-04-30T08:41:19.000Z | httprunner/report/html/gen_report.py | Barronliu/httprunner | 463b8c68cbd413fd2bb66852752149bc1609e98d | [
"Apache-2.0"
] | null | null | null | httprunner/report/html/gen_report.py | Barronliu/httprunner | 463b8c68cbd413fd2bb66852752149bc1609e98d | [
"Apache-2.0"
] | null | null | null | import io
import os
from datetime import datetime
from jinja2 import Template
from loguru import logger
from httprunner.exceptions import SummaryEmpty
def gen_html_report(summary, report_template=None, report_dir=None, report_file=None):
""" render html report with specified report name and template
Args:
... | 36.323077 | 110 | 0.674714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 838 | 0.354934 |
c779400f9f454e7ffcd25d7cea5b32ebe4fe996a | 730 | py | Python | SD/lab1/client.py | matheuscr30/UFU | e947e5a4ccd5c025cb8ef6e00b42ea1160742712 | [
"MIT"
] | null | null | null | SD/lab1/client.py | matheuscr30/UFU | e947e5a4ccd5c025cb8ef6e00b42ea1160742712 | [
"MIT"
] | 11 | 2020-01-28T22:59:24.000Z | 2022-03-11T23:59:04.000Z | SD/lab1/client.py | matheuscr30/UFU | e947e5a4ccd5c025cb8ef6e00b42ea1160742712 | [
"MIT"
] | null | null | null | #client.py
#!/usr/bin/python # This is client.py file
import socket # Import socket module
s = socket.socket() # Create a socket object
host = socket.gethostname() # Get local machine name
port = 12352 ... | 27.037037 | 82 | 0.536986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 300 | 0.410959 |
c77943cb74b84356ac52ea818e7a35cca299778c | 4,040 | py | Python | tests/helpers.py | ws4/TopCTFd | 3b1e25df1318e86ff163a0b546f6e9b7f8305a5a | [
"Apache-2.0"
] | 1 | 2019-06-25T09:24:29.000Z | 2019-06-25T09:24:29.000Z | tests/helpers.py | ws4/TopCTFd | 3b1e25df1318e86ff163a0b546f6e9b7f8305a5a | [
"Apache-2.0"
] | null | null | null | tests/helpers.py | ws4/TopCTFd | 3b1e25df1318e86ff163a0b546f6e9b7f8305a5a | [
"Apache-2.0"
] | null | null | null | from CTFd import create_app
from CTFd.models import *
from sqlalchemy_utils import database_exists, create_database, drop_database
from sqlalchemy.engine.url import make_url
import datetime
import six
if six.PY2:
text_type = unicode
binary_type = str
else:
text_type = str
binary_type = bytes
def crea... | 27.297297 | 117 | 0.592574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 512 | 0.126733 |
c77b3c34564c716c04ed2a2e2297c397f73e511f | 1,741 | py | Python | homeassistant/components/kaiterra/const.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | homeassistant/components/kaiterra/const.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 24,710 | 2016-04-13T08:27:26.000Z | 2020-03-02T12:59:13.000Z | homeassistant/components/kaiterra/const.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Consts for Kaiterra integration."""
from datetime import timedelta
from homeassistant.const import (
CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,
CONCENTRATION_MILLIGRAMS_PER_CUBIC_METER,
CONCENTRATION_PARTS_PER_BILLION,
CONCENTRATION_PARTS_PER_MILLION,
PERCENTAGE,
Platform,
)
DOMAIN = "kaite... | 22.907895 | 51 | 0.649627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.286617 |
c77bfcd69447b6d8753b518a3930aaea586d8856 | 440 | py | Python | support/views.py | bhagirath1312/ich_bau | d37fe7aa3379f312a4d8b5f3d4715dd334b9adb0 | [
"Apache-2.0"
] | 1 | 2021-11-25T19:37:01.000Z | 2021-11-25T19:37:01.000Z | support/views.py | bhagirath1312/ich_bau | d37fe7aa3379f312a4d8b5f3d4715dd334b9adb0 | [
"Apache-2.0"
] | 197 | 2017-09-06T22:54:20.000Z | 2022-02-05T00:04:13.000Z | support/views.py | bhagirath1312/ich_bau | d37fe7aa3379f312a4d8b5f3d4715dd334b9adb0 | [
"Apache-2.0"
] | 2 | 2017-11-08T02:13:03.000Z | 2020-09-30T19:48:12.000Z | from django.shortcuts import render, redirect
from django.http import HttpResponseRedirect
from .models import SupportProject
# Create your views here.
def index( request ):
sp = SupportProject.objects.all()
if sp.count() == 1:
return HttpResponseRedirect( sp.first().project.get_absolute_url() )... | 27.5 | 76 | 0.688636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.113636 |
c77bfffe662ca6c238ec477ceec482de486d7271 | 2,931 | py | Python | timeline/models.py | KolibriSolutions/BepMarketplace | c47d252fd744cde6b927e37c34d7a103c6162be5 | [
"BSD-3-Clause"
] | 1 | 2019-06-29T15:24:24.000Z | 2019-06-29T15:24:24.000Z | timeline/models.py | KolibriSolutions/BepMarketplace | c47d252fd744cde6b927e37c34d7a103c6162be5 | [
"BSD-3-Clause"
] | 2 | 2020-01-12T17:47:33.000Z | 2020-01-12T17:47:45.000Z | timeline/models.py | KolibriSolutions/BepMarketplace | c47d252fd744cde6b927e37c34d7a103c6162be5 | [
"BSD-3-Clause"
] | 2 | 2019-06-29T15:24:26.000Z | 2020-01-08T15:15:03.000Z | # Bep Marketplace ELE
# Copyright (c) 2016-2021 Kolibri Solutions
# License: See LICENSE file or https://github.com/KolibriSolutions/BepMarketplace/blob/master/LICENSE
#
from datetime import datetime
from django.core.exceptions import ValidationError
from django.db import models
class TimeSlot(models.Model):
... | 38.565789 | 119 | 0.643125 | 2,641 | 0.901058 | 0 | 0 | 0 | 0 | 0 | 0 | 984 | 0.335722 |
c77d8ee927213d5c37d334a8dc0c0e3d7493a2cf | 2,221 | py | Python | app/api/user_routes.py | nappernick/envelope | af4f574c04c51293b90ee2e09d0f95d12ca36d2c | [
"MIT"
] | 2 | 2021-01-13T22:52:16.000Z | 2021-01-29T18:37:51.000Z | app/api/user_routes.py | nappernick/envelope | af4f574c04c51293b90ee2e09d0f95d12ca36d2c | [
"MIT"
] | 32 | 2021-01-08T19:05:33.000Z | 2021-04-07T22:01:54.000Z | app/api/user_routes.py | nappernick/envelope | af4f574c04c51293b90ee2e09d0f95d12ca36d2c | [
"MIT"
] | null | null | null | from datetime import datetime
from werkzeug.security import generate_password_hash
from flask import Blueprint, jsonify, request
from sqlalchemy.orm import joinedload
from flask_login import login_required
from app.models import db, User, Type
from app.forms import UpdateUserForm
from .auth_routes import authenticate, ... | 30.013514 | 74 | 0.692031 | 0 | 0 | 0 | 0 | 1,804 | 0.812247 | 0 | 0 | 243 | 0.10941 |
c77e4ddc9f8fe255a8511d43e707cc1ce8c44d20 | 19,717 | py | Python | timeflux/nodes/ml.py | OpenMindInnovation/timeflux | fd27ea6706df80fa52fb73ea3dba65e14ccd088c | [
"MIT"
] | null | null | null | timeflux/nodes/ml.py | OpenMindInnovation/timeflux | fd27ea6706df80fa52fb73ea3dba65e14ccd088c | [
"MIT"
] | null | null | null | timeflux/nodes/ml.py | OpenMindInnovation/timeflux | fd27ea6706df80fa52fb73ea3dba65e14ccd088c | [
"MIT"
] | null | null | null | """Machine Learning"""
import importlib
import numpy as np
import pandas as pd
import json
from jsonschema import validate
from sklearn.pipeline import make_pipeline
from timeflux.core.node import Node
from timeflux.core.exceptions import ValidationError, WorkerInterrupt
from timeflux.helpers.background import Task
fr... | 39.121032 | 103 | 0.502054 | 19,208 | 0.974185 | 0 | 0 | 0 | 0 | 0 | 0 | 3,857 | 0.195618 |
c780e591cbad3129663e73ce7d7f50fa3fb44f8f | 3,675 | py | Python | cms/migrations/0006_auto_20170122_1545.py | josemlp91/django-landingcms | 9d9270204369e9663ff15eb0bd4c4093b3727c6c | [
"Apache-2.0"
] | null | null | null | cms/migrations/0006_auto_20170122_1545.py | josemlp91/django-landingcms | 9d9270204369e9663ff15eb0bd4c4093b3727c6c | [
"Apache-2.0"
] | null | null | null | cms/migrations/0006_auto_20170122_1545.py | josemlp91/django-landingcms | 9d9270204369e9663ff15eb0bd4c4093b3727c6c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-01-22 15:45
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('content', '0002_auto_20170122_1509'),
('cms', '0005... | 47.115385 | 164 | 0.653605 | 3,484 | 0.948027 | 0 | 0 | 0 | 0 | 0 | 0 | 891 | 0.242449 |
c781463cac684dcc8d5bd7e224347018ce45563c | 3,641 | py | Python | 1-lab-lambdaDynamoDB/source/cdk/app.py | donnieprakoso/workshop-buildingRESTAPIwithAWS | b3287d5749b65648710dde4e736ba55b73371c6b | [
"Apache-2.0"
] | 23 | 2021-04-24T06:32:58.000Z | 2022-03-27T11:04:57.000Z | 1-lab-lambdaDynamoDB/source/cdk/app.py | ivandi1980/workshop-restAPI | b3287d5749b65648710dde4e736ba55b73371c6b | [
"Apache-2.0"
] | null | null | null | 1-lab-lambdaDynamoDB/source/cdk/app.py | ivandi1980/workshop-restAPI | b3287d5749b65648710dde4e736ba55b73371c6b | [
"Apache-2.0"
] | 5 | 2021-04-24T12:10:02.000Z | 2021-11-18T13:34:33.000Z | #!/usr/bin/env python3
from aws_cdk import aws_iam as _iam
from aws_cdk import aws_lambda as _lambda
from aws_cdk import aws_dynamodb as _ddb
from aws_cdk import core
class CdkStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, stack_prefix:str, **kwargs) -> None:
super().__init__(scope... | 44.950617 | 177 | 0.682505 | 3,288 | 0.903049 | 0 | 0 | 0 | 0 | 0 | 0 | 730 | 0.200494 |
c7821ff30782af7bc27dc24920e0c07f5856c1a5 | 326 | py | Python | module_6_lets_make_a_web_app/webapp/yield.py | JCarlos831/python_getting_started_-pluralsight- | 5059a1019c46eb8174fc86989fab7cc0c4caffd4 | [
"MIT"
] | null | null | null | module_6_lets_make_a_web_app/webapp/yield.py | JCarlos831/python_getting_started_-pluralsight- | 5059a1019c46eb8174fc86989fab7cc0c4caffd4 | [
"MIT"
] | null | null | null | module_6_lets_make_a_web_app/webapp/yield.py | JCarlos831/python_getting_started_-pluralsight- | 5059a1019c46eb8174fc86989fab7cc0c4caffd4 | [
"MIT"
] | null | null | null | students = []
def read_file():
try:
f = open("students.txt", "r")
for student in read_students(f):
students.append(student)
f.close()
except Exception:
print("Could not read file")
def read_students(f):
for line in f:
yield line
read_file()
print(stu... | 16.3 | 40 | 0.57362 | 0 | 0 | 59 | 0.180982 | 0 | 0 | 0 | 0 | 38 | 0.116564 |
c782a4a5ddbb4061270df891d7584a13d55d2191 | 6,325 | py | Python | paul_analysis/Python/labird/gamma.py | lzkelley/arepo-mbh-sims_analysis | f14519552cedd39a040b53e6d7cc538b5b8f38a3 | [
"MIT"
] | null | null | null | paul_analysis/Python/labird/gamma.py | lzkelley/arepo-mbh-sims_analysis | f14519552cedd39a040b53e6d7cc538b5b8f38a3 | [
"MIT"
] | null | null | null | paul_analysis/Python/labird/gamma.py | lzkelley/arepo-mbh-sims_analysis | f14519552cedd39a040b53e6d7cc538b5b8f38a3 | [
"MIT"
] | null | null | null | """Module for finding an effective equation of state for in the Lyman-alpha forest
from a snapshot. Ported to python from Matteo Viel's IDL script."""
import h5py
import math
import numpy as np
def read_gamma(num,base):
"""Reads in an HDF5 snapshot from the NE gadget version, fits a power law to the
equation ... | 32.772021 | 192 | 0.552727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,734 | 0.432253 |
c782edc67d9a2546d01dc48945d663005d17b20d | 10,490 | py | Python | evogym/envs/change_shape.py | federico-camerota/evogym | fb3a792f93a61be15c9715a036da3721f99d2d42 | [
"MIT"
] | 78 | 2022-01-30T18:59:39.000Z | 2022-03-31T00:26:41.000Z | evogym/envs/change_shape.py | Yuxing-Wang-THU/evogym | da3a0508fa6c5d3fcf589194778844b15a387ece | [
"MIT"
] | 6 | 2022-01-31T02:37:49.000Z | 2022-03-30T18:52:13.000Z | evogym/envs/change_shape.py | Yuxing-Wang-THU/evogym | da3a0508fa6c5d3fcf589194778844b15a387ece | [
"MIT"
] | 6 | 2022-01-31T08:11:33.000Z | 2022-02-22T01:49:50.000Z | import gym
from gym import error, spaces
from gym import utils
from gym.utils import seeding
from evogym import *
from evogym.envs import BenchmarkBase
import random
from math import *
import numpy as np
import os
class ShapeBase(BenchmarkBase):
def __init__(self, world):
super().__init__(world)
... | 33.196203 | 121 | 0.6102 | 10,262 | 0.978265 | 0 | 0 | 0 | 0 | 0 | 0 | 2,078 | 0.198093 |
c7852c56539dc442622c1969bd3081ad523df76c | 29,214 | py | Python | pybind/slxos/v16r_1_00b/mpls_state/ldp/fec/ldp_fec_prefixes/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/slxos/v16r_1_00b/mpls_state/ldp/fec/ldp_fec_prefixes/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/slxos/v16r_1_00b/mpls_state/ldp/fec/ldp_fec_prefixes/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | 1 | 2021-11-05T22:15:42.000Z | 2021-11-05T22:15:42.000Z |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from d... | 73.772727 | 744 | 0.742726 | 28,795 | 0.985658 | 0 | 0 | 0 | 0 | 0 | 0 | 15,018 | 0.514069 |
c78545f3c73bfddebce8e778857a5662b6cdc383 | 610 | py | Python | pug/dj/miner/model_mixin.py | hobson/pug-dj | 55678b08755a55366ce18e7d3b8ea8fa4491ab04 | [
"MIT"
] | null | null | null | pug/dj/miner/model_mixin.py | hobson/pug-dj | 55678b08755a55366ce18e7d3b8ea8fa4491ab04 | [
"MIT"
] | 5 | 2021-09-07T23:53:24.000Z | 2022-03-11T23:22:04.000Z | pug/dj/miner/model_mixin.py | hobson/pug-dj | 55678b08755a55366ce18e7d3b8ea8fa4491ab04 | [
"MIT"
] | 1 | 2015-04-23T14:45:04.000Z | 2015-04-23T14:45:04.000Z | from pug.nlp.db import representation
from django.db import models
class RepresentationMixin(models.Model):
"""Produce a meaningful string representation of a model with `str(model.objects.all[0])`."""
__unicode__ = representation
class Meta:
abstract = True
class DateMixin(models.Model):
""... | 32.105263 | 150 | 0.727869 | 538 | 0.881967 | 0 | 0 | 0 | 0 | 0 | 0 | 239 | 0.391803 |
c785e70d66977d68cd692ad4e28b80dae9e1f5c0 | 4,255 | py | Python | custom_components/kodi_media_sensors/config_flow.py | JurajNyiri/kodi-media-sensors | 055065e52b34555df95a905fc556d3086626deee | [
"MIT"
] | 5 | 2021-03-20T23:32:58.000Z | 2022-03-12T02:01:39.000Z | custom_components/kodi_media_sensors/config_flow.py | JurajNyiri/kodi-media-sensors | 055065e52b34555df95a905fc556d3086626deee | [
"MIT"
] | 11 | 2021-02-09T16:40:34.000Z | 2022-03-20T11:43:06.000Z | custom_components/kodi_media_sensors/config_flow.py | JurajNyiri/kodi-media-sensors | 055065e52b34555df95a905fc556d3086626deee | [
"MIT"
] | 3 | 2021-02-09T17:01:25.000Z | 2022-02-23T22:21:16.000Z | import logging
from typing import Any, Dict, Optional
from homeassistant import config_entries
from homeassistant.components.kodi.const import DOMAIN as KODI_DOMAIN
from homeassistant.core import callback
import voluptuous as vol
from .const import (
OPTION_HIDE_WATCHED,
OPTION_USE_AUTH_URL,
OPTION_SEARCH... | 36.681034 | 88 | 0.624207 | 3,678 | 0.864395 | 0 | 0 | 174 | 0.040893 | 3,150 | 0.740306 | 371 | 0.087192 |
c785fce89075a58bb84f43684cf4f43e70fff95c | 3,561 | py | Python | MySite/MainApp/views.py | tananyan/siteee | f90c4ed56122d1af2f3795a0f16c3f294b785ad3 | [
"MIT"
] | 1 | 2021-11-29T14:50:09.000Z | 2021-11-29T14:50:09.000Z | MySite/MainApp/views.py | tananyan/siteee | f90c4ed56122d1af2f3795a0f16c3f294b785ad3 | [
"MIT"
] | null | null | null | MySite/MainApp/views.py | tananyan/siteee | f90c4ed56122d1af2f3795a0f16c3f294b785ad3 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.views.generic.edit import FormView
from django.views.generic.edit import View
from . import forms
# Опять же, спасибо django за готовую форму аутентификации.
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import logout
from django... | 33.914286 | 134 | 0.686043 | 4,099 | 0.897919 | 0 | 0 | 0 | 0 | 0 | 0 | 2,532 | 0.554655 |
c787795efbca79aae84c0943ac98820495ba5ee9 | 4,057 | py | Python | imagetagger/imagetagger/settings_base.py | jbargu/imagetagger | 216ac5e73902abadc1880321e285e68c55bdfd3d | [
"MIT"
] | 1 | 2019-12-26T09:14:59.000Z | 2019-12-26T09:14:59.000Z | imagetagger/imagetagger/settings_base.py | jbargu/imagetagger | 216ac5e73902abadc1880321e285e68c55bdfd3d | [
"MIT"
] | 4 | 2021-03-19T15:46:34.000Z | 2022-01-13T03:33:04.000Z | imagetagger/imagetagger/settings_base.py | jbargu/imagetagger | 216ac5e73902abadc1880321e285e68c55bdfd3d | [
"MIT"
] | 2 | 2020-09-03T09:22:18.000Z | 2020-09-09T15:13:35.000Z | """
Django settings for imagetagger project.
Generated by 'django-admin startproject' using Django 1.10.3.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
impor... | 26.51634 | 99 | 0.709884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,750 | 0.677841 |
c7879b591e4a17bc5cbafd6cd291d2d73183569a | 23,794 | py | Python | apps/project/views/issue.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 349 | 2020-08-04T10:21:01.000Z | 2022-03-23T08:31:29.000Z | apps/project/views/issue.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 2 | 2021-01-07T06:17:05.000Z | 2021-04-01T06:01:30.000Z | apps/project/views/issue.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 70 | 2020-08-24T06:46:14.000Z | 2022-03-25T13:23:27.000Z | from flask import request
from apps.auth.auth_require import required
from apps.project.business.issue import IssueBusiness, IssueRecordBusiness, IssueDashBoardBusiness
from apps.project.extentions import parse_json_form, validation, parse_list_args2
from library.api.render import json_detail_render, json_list_render2... | 29.159314 | 114 | 0.504329 | 0 | 0 | 0 | 0 | 23,967 | 0.956919 | 0 | 0 | 19,325 | 0.77158 |
c787d4b85054cce4a273d4cda061e7e65933333a | 3,351 | py | Python | PhysicsTools/PythonAnalysis/python/ParticleDecayDrawer.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | PhysicsTools/PythonAnalysis/python/ParticleDecayDrawer.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | PhysicsTools/PythonAnalysis/python/ParticleDecayDrawer.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | # Benedikt Hegner, DESY
# benedikt.hegner@cern.ch
#
# this tool is based on Luca Lista's tree drawer module
class ParticleDecayDrawer(object):
"""Draws particle decay tree """
def __init__(self):
print "Init particleDecayDrawer"
# booleans: printP4 printPtEtaPhi printVertex
... | 33.848485 | 81 | 0.497165 | 3,235 | 0.965383 | 0 | 0 | 0 | 0 | 0 | 0 | 383 | 0.114294 |
c788076445fbf7d0da81cc5cf12ab9482e59b110 | 357 | py | Python | translator.py | liuprestin/pyninjaTUT-translator | 903642ff56f573ed9c58b6f7db4e6fbb4e722c8d | [
"MIT"
] | null | null | null | translator.py | liuprestin/pyninjaTUT-translator | 903642ff56f573ed9c58b6f7db4e6fbb4e722c8d | [
"MIT"
] | null | null | null | translator.py | liuprestin/pyninjaTUT-translator | 903642ff56f573ed9c58b6f7db4e6fbb4e722c8d | [
"MIT"
] | null | null | null | from translate import Translator
translator = Translator(to_lang="zh")
try:
with open('./example.md', mode='r') as in_file:
text = in_file.read()
with open('./example-tranlated.md', mode='w') as trans_file:
trans_file.write(translator.translate(text))
except FileNotFoundError as... | 27.461538 | 64 | 0.661064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.196078 |
c788d246174ead31e98e8d4b7639bcc5eb1a1074 | 580 | py | Python | reddit2telegram/channels/news/app.py | mainyordle/reddit2telegram | 1163e15aed3b6ff0fba65b222d3d9798f644c386 | [
"MIT"
] | 187 | 2016-09-20T09:15:54.000Z | 2022-03-29T12:22:33.000Z | reddit2telegram/channels/news/app.py | mainyordle/reddit2telegram | 1163e15aed3b6ff0fba65b222d3d9798f644c386 | [
"MIT"
] | 84 | 2016-09-22T14:25:07.000Z | 2022-03-19T01:26:17.000Z | reddit2telegram/channels/news/app.py | mainyordle/reddit2telegram | 1163e15aed3b6ff0fba65b222d3d9798f644c386 | [
"MIT"
] | 172 | 2016-09-21T15:39:39.000Z | 2022-03-16T15:15:58.000Z | #encoding:utf-8
from utils import weighted_random_subreddit
t_channel = '@news756'
subreddit = weighted_random_subreddit({
'politics': 0.5,
'news': 0.5
})
def send_post(submission, r2t):
return r2t.send_simple(submission,
text='{title}\n\n{self_text}\n\n/r/{subreddit_name}\n{short_link}',
... | 27.619048 | 75 | 0.653448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 302 | 0.52069 |
c78915846f029ced4be55e06e50f81dcf24cc440 | 21,941 | py | Python | xcbgen/xtypes.py | tizenorg/framework.uifw.xorg.xcb.xcb-proto | d5ce7205c9bdd3e28d96d162617e32de1c126f8b | [
"X11"
] | 1 | 2022-03-21T15:39:01.000Z | 2022-03-21T15:39:01.000Z | targetfs/XSGX/lib/python2.6/site-packages/xcbgen/xtypes.py | jhofstee/Graphics_SDK | 805bd44f347ed40699a84979bc9f3e8eb085fd9e | [
"Fair",
"Unlicense"
] | null | null | null | targetfs/XSGX/lib/python2.6/site-packages/xcbgen/xtypes.py | jhofstee/Graphics_SDK | 805bd44f347ed40699a84979bc9f3e8eb085fd9e | [
"Fair",
"Unlicense"
] | null | null | null | '''
This module contains the classes which represent XCB data types.
'''
from xcbgen.expr import Field, Expression
import __main__
class Type(object):
'''
Abstract base class for all XCB data types.
Contains default fields, and some abstract methods.
'''
def __init__(self, name):
'''
... | 34.661927 | 112 | 0.593182 | 21,160 | 0.964405 | 0 | 0 | 0 | 0 | 0 | 0 | 6,809 | 0.310332 |
c78a85d9115e200586e2ed2d790dc6b616c4151d | 3,769 | py | Python | BioKlustering-Website/mlmodel/parser/kmeans.py | solislemuslab/mycovirus-website | bc8d3d5f9a9472c35e40334f19e90bbf782f7a1b | [
"MIT"
] | 1 | 2021-11-23T15:07:58.000Z | 2021-11-23T15:07:58.000Z | BioKlustering-Website/mlmodel/parser/kmeans.py | solislemuslab/mycovirus-website | bc8d3d5f9a9472c35e40334f19e90bbf782f7a1b | [
"MIT"
] | 2 | 2020-10-23T15:40:49.000Z | 2020-10-28T13:21:16.000Z | BioKlustering-Website/mlmodel/parser/kmeans.py | solislemuslab/bioklustering | bc8d3d5f9a9472c35e40334f19e90bbf782f7a1b | [
"MIT"
] | 2 | 2021-11-04T20:01:36.000Z | 2021-11-23T15:13:34.000Z | # Copyright 2020 by Luke Selberg, Solis-Lemus Lab, WID.
# All rights reserved.
# This file is part of the BioKlustering Website.
import pandas as pd
from Bio import SeqIO
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.cl... | 37.316832 | 113 | 0.717166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.111701 |