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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
56652a7a9ad8a080d50971b9bce49832c3f1c49d | 6,853 | py | Python | util.py | jacklxc/ScientificDiscourseTagging | d75514b631b95d39451abd2396f57c3da1c19801 | [
"Apache-2.0"
] | 15 | 2020-01-17T16:45:09.000Z | 2022-01-18T08:44:16.000Z | util.py | jacklxc/ScientificDiscourseTagging | d75514b631b95d39451abd2396f57c3da1c19801 | [
"Apache-2.0"
] | 3 | 2020-12-01T07:34:57.000Z | 2021-08-09T23:07:19.000Z | util.py | jacklxc/ScientificDiscourseTagging | d75514b631b95d39451abd2396f57c3da1c19801 | [
"Apache-2.0"
] | 2 | 2019-05-30T18:52:09.000Z | 2020-06-01T13:36:33.000Z | import codecs
import numpy
import glob
import re
from sklearn.metrics import f1_score
def clean_url(word):
"""
Clean specific data format from social media
"""
# clean urls
word = re.sub(r'https? : \/\/.*[\r\n]*', '<URL>', word)
word = re.sub(r'exlink', '<URL>', word)
return word
| 34.265 | 121 | 0.59069 |
5667c67a21bb9a3e1bab52388c65b4ea9c28eb56 | 364 | py | Python | crawler/1_read_and_compact.py | carpedm20/critic-of-critics | 3695c1c038af08fe2ea7c2e64b05e75759d6777e | [
"BSD-3-Clause"
] | null | null | null | crawler/1_read_and_compact.py | carpedm20/critic-of-critics | 3695c1c038af08fe2ea7c2e64b05e75759d6777e | [
"BSD-3-Clause"
] | null | null | null | crawler/1_read_and_compact.py | carpedm20/critic-of-critics | 3695c1c038af08fe2ea7c2e64b05e75759d6777e | [
"BSD-3-Clause"
] | null | null | null | import json
from glob import glob
data = []
for fname in ['critic-0.jsonlines']+glob('*new*.jsonlines'):
print fname
with open(fname) as f:
for line in f:
data.append(json.loads(line))
new_data = []
for i in data:
if i['imdb_mid'] != -1:
new_data.append(i)
with open('compact.... | 19.157895 | 60 | 0.598901 |
5669105e25d30b05664f89f0df0423f50da1ae02 | 2,965 | py | Python | examples/Kane1985/Chapter6/Ex11.5.py | nouiz/pydy | 20c8ca9fc521208ae2144b5b453c14ed4a22a0ec | [
"BSD-3-Clause"
] | 298 | 2015-01-31T11:43:22.000Z | 2022-03-15T02:18:21.000Z | examples/Kane1985/Chapter6/Ex11.5.py | nouiz/pydy | 20c8ca9fc521208ae2144b5b453c14ed4a22a0ec | [
"BSD-3-Clause"
] | 359 | 2015-01-17T16:56:42.000Z | 2022-02-08T05:27:08.000Z | examples/Kane1985/Chapter6/Ex11.5.py | nouiz/pydy | 20c8ca9fc521208ae2144b5b453c14ed4a22a0ec | [
"BSD-3-Clause"
] | 109 | 2015-02-03T13:02:45.000Z | 2021-12-21T12:57:21.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Exercise 11.5 from Kane 1985."""
from __future__ import division
from sympy import expand, solve, symbols, trigsimp
from sympy import sin, tan, pi
from sympy.physics.mechanics import Point, ReferenceFrame, RigidBody
from sympy.physics.mechanics import dot, dynamicsymbol... | 31.88172 | 74 | 0.66914 |
566a183503f12d2d76263243546091eed83cab3c | 3,706 | py | Python | seahub/drafts/utils.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 420 | 2015-01-03T11:34:46.000Z | 2022-03-10T07:15:41.000Z | seahub/drafts/utils.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 735 | 2015-01-04T21:22:51.000Z | 2022-03-31T09:26:07.000Z | seahub/drafts/utils.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 379 | 2015-01-05T17:08:03.000Z | 2022-03-06T00:11:50.000Z | import hashlib
import os
import logging
import posixpath
from seaserv import seafile_api
from seahub.utils import normalize_file_path, check_filename_with_rename
from seahub.tags.models import FileUUIDMap
logger = logging.getLogger(__name__)
def send_draft_publish_msg(draft, username, path):
"""
send... | 28.953125 | 92 | 0.658662 |
566d06f55eb168bd0c5dd0836c75fd3bf4352b95 | 781 | py | Python | Questions/Airline Iternary/solution.py | leander-dsouza/Abhyudaya_2020 | 54ec7608c5caa14310b635ac8e8b090156ca0ea4 | [
"MIT"
] | 1 | 2020-07-13T17:28:27.000Z | 2020-07-13T17:28:27.000Z | Questions/Airline Iternary/solution.py | leander-dsouza/Abhyudaya_2020 | 54ec7608c5caa14310b635ac8e8b090156ca0ea4 | [
"MIT"
] | null | null | null | Questions/Airline Iternary/solution.py | leander-dsouza/Abhyudaya_2020 | 54ec7608c5caa14310b635ac8e8b090156ca0ea4 | [
"MIT"
] | null | null | null |
size = int(input())
array_input = []
for x in range(size):
array_input.append(tuple(input().split()))
g = get_itinerary(array_input,'MSC',[])
print(" ".join(g))
| 31.24 | 98 | 0.653009 |
566d5c200e2aef246e18708df545abf4a5788862 | 1,233 | py | Python | backend/app/snowflake.py | GJCav/wy-rsv | 705c1d97bbf1d2d8e29ef113928644236e4d8c60 | [
"MIT"
] | 1 | 2021-09-17T12:54:56.000Z | 2021-09-17T12:54:56.000Z | backend/app/snowflake.py | GJCav/wy-rsv | 705c1d97bbf1d2d8e29ef113928644236e4d8c60 | [
"MIT"
] | 42 | 2021-08-20T14:09:48.000Z | 2021-09-25T12:51:04.000Z | backend/app/snowflake.py | GJCav/wy-rsv | 705c1d97bbf1d2d8e29ef113928644236e4d8c60 | [
"MIT"
] | 2 | 2021-08-21T15:37:53.000Z | 2021-09-17T12:54:59.000Z | import threading
import time
_base = int(time.mktime(time.strptime('2020-1-1', '%Y-%m-%d'))*1000)
def makeId(timestamp = 0, machine = 0, flow = 0):
"""
using unix style timestamp, not python timestamp
"""
timestamp -= _base
return (timestamp<<13) | (machine << 8) | flow
| 22.833333 | 68 | 0.514193 |
566dacd3762055b1031b88c7abeee1f2fb17e4a3 | 1,878 | py | Python | examples/geneexpr_3tube.py | ayush9pandey/txtlsim-python | d788aab4540f3b43e570047f650ea08d206ecdb2 | [
"BSD-3-Clause"
] | 4 | 2018-02-11T07:58:10.000Z | 2020-02-03T19:51:29.000Z | examples/geneexpr_3tube.py | ayush9pandey/txtlsim-python | d788aab4540f3b43e570047f650ea08d206ecdb2 | [
"BSD-3-Clause"
] | 32 | 2018-08-13T15:42:45.000Z | 2019-08-15T00:30:55.000Z | examples/geneexpr_3tube.py | ayush9pandey/txtlsim-python | d788aab4540f3b43e570047f650ea08d206ecdb2 | [
"BSD-3-Clause"
] | 4 | 2018-04-30T19:50:45.000Z | 2018-08-28T16:10:49.000Z | # geneexpr.py - simple gene expression example
# Richard M. Murray, 11 Aug 2018
#
# This example shows how to use the txtl library to create a model for
# a simple gene expression construct. This model is constructed to
# demonstrate the ability to mimic the MATLAB TX-TL modeling toolbox
# approach as well as a few si... | 32.947368 | 77 | 0.755059 |
566e601ac7f314a0c7263784d0d159ced84a93ad | 201 | py | Python | src/expression_evaluator/operators/basic/in_operator.py | Xett/expression_evaluator | eca895d79f015843a262e9636b86c6dd3d06a69d | [
"MIT"
] | null | null | null | src/expression_evaluator/operators/basic/in_operator.py | Xett/expression_evaluator | eca895d79f015843a262e9636b86c6dd3d06a69d | [
"MIT"
] | null | null | null | src/expression_evaluator/operators/basic/in_operator.py | Xett/expression_evaluator | eca895d79f015843a262e9636b86c6dd3d06a69d | [
"MIT"
] | null | null | null | from expression_evaluator.token import * | 22.333333 | 40 | 0.681592 |
566e992466a08d95a9769f7efc588017224e9ab9 | 2,632 | py | Python | SubShift.py | nsaftarli/SubShift | fa1ac906b569fb7dd238e0241b84cd20c1ba2387 | [
"MIT"
] | null | null | null | SubShift.py | nsaftarli/SubShift | fa1ac906b569fb7dd238e0241b84cd20c1ba2387 | [
"MIT"
] | null | null | null | SubShift.py | nsaftarli/SubShift | fa1ac906b569fb7dd238e0241b84cd20c1ba2387 | [
"MIT"
] | null | null | null | import re
import numpy as np
| 24.37037 | 84 | 0.612082 |
56700bfa5388728c85765f29f5c4e7e6f06cee4a | 962 | py | Python | apps/userprofile/forms.py | amirahanisadlin/LearnDjangoVue | a9dd2f2123601b17668f08f593ece9bf8d27856c | [
"MIT"
] | null | null | null | apps/userprofile/forms.py | amirahanisadlin/LearnDjangoVue | a9dd2f2123601b17668f08f593ece9bf8d27856c | [
"MIT"
] | null | null | null | apps/userprofile/forms.py | amirahanisadlin/LearnDjangoVue | a9dd2f2123601b17668f08f593ece9bf8d27856c | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User | 43.727273 | 91 | 0.674636 |
56707ce7ef82994c6105b84839758860eff4cf9f | 11,991 | py | Python | gcn/lib/databases/annotate_clinvar_vcf.py | kalon33/divine | 2db92c093d98722f011224140e652c162a4f4336 | [
"Intel"
] | 11 | 2018-11-09T15:47:14.000Z | 2021-08-18T18:05:11.000Z | gcn/lib/databases/annotate_clinvar_vcf.py | kalon33/divine | 2db92c093d98722f011224140e652c162a4f4336 | [
"Intel"
] | 5 | 2018-08-31T15:07:20.000Z | 2020-03-30T18:52:04.000Z | gcn/lib/databases/annotate_clinvar_vcf.py | kalon33/divine | 2db92c093d98722f011224140e652c162a4f4336 | [
"Intel"
] | 1 | 2019-04-18T13:42:30.000Z | 2019-04-18T13:42:30.000Z | #
# COPYRIGHT (C) 2002-2011 Rajgopal Srinivasan and modified by changjin.hong@gmail.com
#
"""
.. module:: preprocess_clinvar
:platform: Unix, Windows, MacOSX
:synopsis: Transparent opening of compressed and uncompressed files
.. moduleauthor:: ; changjin.hong@gmail.com
"""
import os, dill, re, argparse
from gcn.li... | 32.584239 | 164 | 0.68835 |
56708965d6fec056a956b940dd9b227f3d8fbfd4 | 8,820 | py | Python | dist_train/workers/baseline.py | victorcampos7/edl | ffdf23d4e102ca7d69a1408bafa267b0c7d8bfa0 | [
"MIT"
] | 30 | 2020-02-16T15:52:59.000Z | 2022-03-22T10:54:54.000Z | dist_train/workers/baseline.py | imatge-upc/edl | ffdf23d4e102ca7d69a1408bafa267b0c7d8bfa0 | [
"MIT"
] | null | null | null | dist_train/workers/baseline.py | imatge-upc/edl | ffdf23d4e102ca7d69a1408bafa267b0c7d8bfa0 | [
"MIT"
] | 7 | 2020-02-16T15:53:05.000Z | 2022-01-18T03:41:03.000Z | # Copyright (c) 2019, salesforce.com, inc.
# All rights reserved.
# SPDX-License-Identifier: MIT
# For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/MIT
import os
import json
import time
import torch
import numpy as np
from dist_train.utils.shared_optim import SharedAdam a... | 37.372881 | 113 | 0.625057 |
5670f35e40b02807226db734417e790c3490e50a | 779 | py | Python | Python/[6 kyu] simple prime streaming.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | Python/[6 kyu] simple prime streaming.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | Python/[6 kyu] simple prime streaming.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | # see https://www.codewars.com/kata/5a908da30025e995880000e3/solutions/python
from TestFunction import Test
Test = Test(None)
Test.assert_equals(solve(2,2),'57')
Test.assert_equals(solve(10,3),'192')
Test.assert_equals(solve(20,9),'414347535')
Test.assert_equals(solve(30,12),'616771737983')
Test.assert_equals(solve(4... | 29.961538 | 85 | 0.679076 |
567114ba199318d542e09eb261fb42b250b3ecc5 | 707 | py | Python | tests/benchmarks/gendata.py | simonwittber/fibra | 1761ba79cb643b0392bb82d7e80ce9e55bb75275 | [
"Unlicense"
] | 1 | 2016-03-26T19:30:38.000Z | 2016-03-26T19:30:38.000Z | tests/benchmarks/gendata.py | simonwittber/fibra | 1761ba79cb643b0392bb82d7e80ce9e55bb75275 | [
"Unlicense"
] | 1 | 2018-05-25T13:30:46.000Z | 2018-05-25T13:30:46.000Z | tests/benchmarks/gendata.py | simonwittber/fibra | 1761ba79cb643b0392bb82d7e80ce9e55bb75275 | [
"Unlicense"
] | null | null | null | from pygooglechart import Chart
from pygooglechart import SimpleLineChart
from pygooglechart import Axis
try:
import stackless
except ImportError:
stackless = None
import timeit
import gc
results = dict()
RANGE = range(0, 100000, 10000)[1:]
if stackless:
libs = ["stacklessb", "fibrab", "kamaeliab"]
else:... | 22.09375 | 110 | 0.643564 |
5672916d34e9bf0fa027e7668987fc3274ffeb22 | 7,445 | py | Python | code/training/i_vector_extraction.py | oananovac/Speaker_Recognition_System | 526eb2467190efeeeb2256849f53cde648b3a294 | [
"MIT"
] | null | null | null | code/training/i_vector_extraction.py | oananovac/Speaker_Recognition_System | 526eb2467190efeeeb2256849f53cde648b3a294 | [
"MIT"
] | null | null | null | code/training/i_vector_extraction.py | oananovac/Speaker_Recognition_System | 526eb2467190efeeeb2256849f53cde648b3a294 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.linalg import eigh
import voice_activity_detector
import features_extraction
import statistics
import utils
| 33.236607 | 92 | 0.58724 |
56740050a83aa6e9a33739148e341b329b34dce8 | 1,412 | py | Python | uploadhandler/uploadhandler.py | Kendubu1/tornado-file-upload | 18933347e75179725018f06f784672b85c058e7e | [
"Apache-2.0"
] | 8 | 2016-12-03T09:36:46.000Z | 2019-04-18T00:16:45.000Z | uploadhandler/uploadhandler.py | Kendubu1/tornado-file-upload | 18933347e75179725018f06f784672b85c058e7e | [
"Apache-2.0"
] | null | null | null | uploadhandler/uploadhandler.py | Kendubu1/tornado-file-upload | 18933347e75179725018f06f784672b85c058e7e | [
"Apache-2.0"
] | 3 | 2016-12-17T16:34:27.000Z | 2021-09-03T16:05:51.000Z | # Handles file uploads in Python Tornado: http://tornadoweb.org/
import tornado.web
import logging
import os
import uuid
def uuid_naming_strategy(original_name):
"File naming strategy that ignores original name and returns an UUID"
return str(uuid.uuid4())
| 32.837209 | 75 | 0.63102 |
56756d9a6a2f6b3681bd9d47482a96048107979e | 947 | py | Python | Anaconda-files/Program_15d.py | arvidl/dynamical-systems-with-applications-using-python | db747f550337a7e7ec4a0851b188dd6e2e816a64 | [
"BSD-2-Clause"
] | 106 | 2018-10-10T18:04:02.000Z | 2022-03-11T06:32:38.000Z | Anaconda-files/Program_15d.py | arvidl/dynamical-systems-with-applications-using-python | db747f550337a7e7ec4a0851b188dd6e2e816a64 | [
"BSD-2-Clause"
] | null | null | null | Anaconda-files/Program_15d.py | arvidl/dynamical-systems-with-applications-using-python | db747f550337a7e7ec4a0851b188dd6e2e816a64 | [
"BSD-2-Clause"
] | 54 | 2018-02-06T09:47:42.000Z | 2022-03-25T15:41:43.000Z | # Program 15d: Plotting a Newton fractal.
# See Figure 15.7.
from PIL import Image
width = height = 512
image = Image.new('RGB', (width, height))
xmin, xmax = -1.5, 1.5
ymin, ymax = -1.5, 1.5
max_iter = 20
h = 1e-6 # Step size
eps = 1e-3 # Maximum error
# Draw the fractal.
for y in range(height):
zy = y * (y... | 26.305556 | 71 | 0.531151 |
5675e78e6bff192c2a34c289667d015bc90abcc8 | 870 | py | Python | bonga.py | AfonsoFGarcia/BigBongaClock | bc75f27d7f37a989e2efb417b74f1adfc2821c94 | [
"MIT"
] | 1 | 2015-06-22T16:08:38.000Z | 2015-06-22T16:08:38.000Z | bonga.py | AfonsoFGarcia/BigBongaClock | bc75f27d7f37a989e2efb417b74f1adfc2821c94 | [
"MIT"
] | 1 | 2020-09-08T20:38:24.000Z | 2020-09-08T20:38:24.000Z | bonga.py | AfonsoFGarcia/BigBongaClock | bc75f27d7f37a989e2efb417b74f1adfc2821c94 | [
"MIT"
] | null | null | null | import time
import tweepy as twitter
import os
superhour = time.localtime().tm_hour
hour = superhour % 12
if hour == 0:
hour = 12
sentence = "Tenho %d lgrima%s no canto do mostrador, %s nos Aores%s"
if superhour >= 12:
if hour == 1:
sentence = sentence % (hour, "", "12 lgrimas", "")
else:
sentence = sentence... | 26.363636 | 71 | 0.705747 |
5677a8de826460d6b3962eb6561558b2f7259736 | 244 | py | Python | cachex/decorator/CacheParameters.py | malversoft/cachex | 8b4d5086c9553c50e91470a2e9a635bf22cde68d | [
"MIT"
] | null | null | null | cachex/decorator/CacheParameters.py | malversoft/cachex | 8b4d5086c9553c50e91470a2e9a635bf22cde68d | [
"MIT"
] | null | null | null | cachex/decorator/CacheParameters.py | malversoft/cachex | 8b4d5086c9553c50e91470a2e9a635bf22cde68d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .CacheDefaults import CacheDefaults
from ..caches.AbstractCacheParameters import AbstractCacheParameters
| 22.181818 | 68 | 0.786885 |
5679b4a709d6dc06439e297747d31c23263a2fac | 1,816 | py | Python | newserver.py | pedrohhcunha/Encryption-system | 2d1be01ab00e3e089f4db2ba391b1d294fbc8a72 | [
"MIT"
] | null | null | null | newserver.py | pedrohhcunha/Encryption-system | 2d1be01ab00e3e089f4db2ba391b1d294fbc8a72 | [
"MIT"
] | null | null | null | newserver.py | pedrohhcunha/Encryption-system | 2d1be01ab00e3e089f4db2ba391b1d294fbc8a72 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# import thread
import threading
import os.path
import random
import hashlib
import socket
import time
import os
import copy
import socket
letters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
host = ''
port = 9093
pega_mensagem = ''
addr = (host, port)
serv_socket = socket.socket(socket.AF_INET, socket.SOCK_... | 28.825397 | 65 | 0.675661 |
567a8d53d6704bf2e4cecf0cfc3ed0d482c3d55a | 71,934 | py | Python | ohsomeTools/gui/OhsomeToolsDialogUI.py | GIScience/ohsome-qgis-plugin | acd4811e9e36ed35e3fe62c063b5c990a8b795f9 | [
"MIT"
] | 3 | 2021-06-28T09:45:58.000Z | 2021-09-13T02:16:50.000Z | ohsomeTools/gui/OhsomeToolsDialogUI.py | GIScience/ohsome-qgis-plugin | acd4811e9e36ed35e3fe62c063b5c990a8b795f9 | [
"MIT"
] | 29 | 2021-06-22T08:58:37.000Z | 2022-02-13T21:35:02.000Z | ohsomeTools/gui/OhsomeToolsDialogUI.py | GIScience/ohsome-qgis-plugin | acd4811e9e36ed35e3fe62c063b5c990a8b795f9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'OhsomeToolsDialogUI.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import ... | 50.622097 | 587 | 0.681375 |
567c444373e2af7552606978f05a112fd3fb6f08 | 13,282 | bzl | Python | swc/cli_repositories.bzl | aspect-build/rules_swc | 7e5aad0cce6db87e272b1bd2c6537a2cf016d4d6 | [
"Apache-2.0"
] | 14 | 2021-12-04T11:15:40.000Z | 2022-03-01T23:05:38.000Z | swc/cli_repositories.bzl | aspect-build/rules_swc | 7e5aad0cce6db87e272b1bd2c6537a2cf016d4d6 | [
"Apache-2.0"
] | 6 | 2021-12-13T06:32:16.000Z | 2022-02-28T14:44:38.000Z | swc/cli_repositories.bzl | aspect-build/rules_swc | 7e5aad0cce6db87e272b1bd2c6537a2cf016d4d6 | [
"Apache-2.0"
] | 2 | 2021-12-14T09:35:12.000Z | 2021-12-24T16:31:14.000Z | "@generated by @aspect_rules_js//npm/private:npm_translate_lock.bzl from pnpm lock file @aspect_rules_swc@aspect_rules_swc//swc:pnpm-lock.yaml"
load("@aspect_rules_js//npm:npm_import.bzl", "npm_import")
def npm_repositories():
"Generated npm_import repository rules corresponding to npm packages in @aspect_rules_s... | 32.957816 | 143 | 0.518973 |
567f65f38faefff2b824b29b2ea7a8229dd32be4 | 8,294 | py | Python | model/networks.py | ifding/dynamic-analysis-firmware | 4d786c2280527ff38ba615974dd227c4f44c93b2 | [
"MIT"
] | 17 | 2019-01-18T12:45:38.000Z | 2021-12-03T19:55:25.000Z | model/networks.py | ifding/dynamic-analysis-firmware | 4d786c2280527ff38ba615974dd227c4f44c93b2 | [
"MIT"
] | 3 | 2018-06-27T19:08:21.000Z | 2019-12-18T09:29:11.000Z | model/networks.py | ifding/dynamic-analysis-firmware | 4d786c2280527ff38ba615974dd227c4f44c93b2 | [
"MIT"
] | 7 | 2018-07-28T17:58:23.000Z | 2021-01-02T17:16:20.000Z | """
Neural network modules for WaveNet
References :
https://arxiv.org/pdf/1609.03499.pdf
https://github.com/ibab/tensorflow-wavenet
https://qiita.com/MasaEguchi/items/cd5f7e9735a120f27e2a
https://github.com/musyoku/wavenet/issues/4
"""
import torch
import numpy as np
from utils.exceptions import Input... | 31.777778 | 103 | 0.618278 |
56804b24fb35ab2abb9bf99473495ce4e51fa000 | 3,643 | py | Python | metrics/f2_structured_metadata.py | MaastrichtU-IDS/fair-enough-metrics | deb238a84385e1f94c0e2321b4b3ebdc231094d3 | [
"MIT"
] | 1 | 2022-01-28T09:42:20.000Z | 2022-01-28T09:42:20.000Z | metrics/f2_structured_metadata.py | MaastrichtU-IDS/fair-enough-metrics | deb238a84385e1f94c0e2321b4b3ebdc231094d3 | [
"MIT"
] | null | null | null | metrics/f2_structured_metadata.py | MaastrichtU-IDS/fair-enough-metrics | deb238a84385e1f94c0e2321b4b3ebdc231094d3 | [
"MIT"
] | 1 | 2022-01-29T03:39:37.000Z | 2022-01-29T03:39:37.000Z | import requests
import yaml
from fair_test import FairTest, FairTestEvaluation
| 52.042857 | 201 | 0.639308 |
56812e1d2c9fb35b48bbbc87de532ca4299da390 | 1,017 | py | Python | tests/runtime/redis/test_redis.py | igboyes/virtool-workflow | 1ef9a4b0bada1963ff9be0470dfe74b32c9e7ccf | [
"MIT"
] | null | null | null | tests/runtime/redis/test_redis.py | igboyes/virtool-workflow | 1ef9a4b0bada1963ff9be0470dfe74b32c9e7ccf | [
"MIT"
] | null | null | null | tests/runtime/redis/test_redis.py | igboyes/virtool-workflow | 1ef9a4b0bada1963ff9be0470dfe74b32c9e7ccf | [
"MIT"
] | null | null | null | import asyncio
from virtool_workflow_runtime._redis import connect, VIRTOOL_JOBS_CHANNEL, job_id_queue
from virtool_workflow_runtime.runtime import execute_from_redis
JOB_IDs = [str(n) for n in range(3)]
| 28.25 | 87 | 0.73353 |
5682d231d05f403a7946e9e6799b2532460eca4a | 928 | py | Python | src/probnum/filtsmooth/statespace/discrete/discretemodel.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | null | null | null | src/probnum/filtsmooth/statespace/discrete/discretemodel.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | 2 | 2020-12-28T19:37:16.000Z | 2020-12-28T19:37:31.000Z | src/probnum/filtsmooth/statespace/discrete/discretemodel.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | null | null | null | import abc
from probnum.filtsmooth.statespace.transition import Transition
__all__ = ["DiscreteModel"]
| 24.421053 | 73 | 0.685345 |
56835f197330807710a910c73580f2e27a16947f | 8,934 | py | Python | examples/temp_bubbles/plot_sweep_results.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | examples/temp_bubbles/plot_sweep_results.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | examples/temp_bubbles/plot_sweep_results.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | '''This plots the bubble results
'''
from pickle import load
from numpy import array, atleast_2d, hstack, where, zeros
from matplotlib.pyplot import close, subplots
from examples.temp_bubbles.common import DataObject
from seaborn import heatmap
no_i_vals = 3
no_j_vals = 3
peaks_1 = zeros((no_i_vals,no_j_vals))
peaks_... | 42.542857 | 130 | 0.71323 |
5683642aced3575289798f545fc9efd887e19acc | 3,363 | py | Python | dustmaker/cmd/thumbnail.py | msg555/dustmaker | 8ce54e7e6b29af75d72ca42051881df26624b6fc | [
"Apache-2.0"
] | 11 | 2015-09-29T07:48:30.000Z | 2019-05-05T20:44:48.000Z | dustmaker/cmd/thumbnail.py | msg555/dustmaker | 8ce54e7e6b29af75d72ca42051881df26624b6fc | [
"Apache-2.0"
] | 5 | 2016-10-16T00:30:18.000Z | 2022-02-12T20:04:11.000Z | dustmaker/cmd/thumbnail.py | msg555/dustmaker | 8ce54e7e6b29af75d72ca42051881df26624b6fc | [
"Apache-2.0"
] | 3 | 2016-10-15T20:51:03.000Z | 2019-03-21T03:31:47.000Z | #!/usr/bin/env python3
"""
Sample script to extract and set level thumbnails.
"""
import argparse
import io
import os
import sys
from dustmaker import DFReader, DFWriter
from dustmaker.cmd.common import (
run_utility,
CliUtility,
)
from dustmaker.variable import VariableBool
if __name__ == "__main__":
s... | 30.297297 | 96 | 0.549509 |
568434517b25ee3fdda6d9fdafd843bc88f238d6 | 2,591 | py | Python | src/e2e_tests/general/test_main_page.py | tomgilbertson/script-server-v1 | bbdf289d3d993a0c81f20c36bce5f3eb064b0261 | [
"Apache-2.0",
"CC0-1.0"
] | 833 | 2016-09-08T13:27:36.000Z | 2022-03-27T07:10:48.000Z | src/e2e_tests/general/test_main_page.py | tomgilbertson/script-server-v1 | bbdf289d3d993a0c81f20c36bce5f3eb064b0261 | [
"Apache-2.0",
"CC0-1.0"
] | 528 | 2016-05-23T09:17:04.000Z | 2022-03-30T12:45:50.000Z | src/e2e_tests/general/test_main_page.py | tomgilbertson/script-server-v1 | bbdf289d3d993a0c81f20c36bce5f3eb064b0261 | [
"Apache-2.0",
"CC0-1.0"
] | 214 | 2016-09-08T14:46:41.000Z | 2022-03-25T01:04:14.000Z | from common.pages import Page
import allure
from common.pages import is_displayed, is_enabled, is_disabled
from delayed_assert import expect, assert_expectations
from allure import severity, severity_level
| 47.981481 | 101 | 0.766113 |
5684408b6c388d68319ade18652fa15a6c742db7 | 714 | py | Python | backend/mono-back/User.py | sotapmc/Monologue | d2dcd3ab1fcd67e92b24495ee2472c08f5532741 | [
"Apache-2.0"
] | 5 | 2020-04-18T17:23:18.000Z | 2021-04-05T04:50:03.000Z | backend/mono-back/User.py | sotapmc/Monologue | d2dcd3ab1fcd67e92b24495ee2472c08f5532741 | [
"Apache-2.0"
] | 11 | 2020-04-22T03:40:25.000Z | 2021-05-01T02:45:12.000Z | backend/mono-back/User.py | Subilan/Monologue | 7f81a933fb123f4d87acc07fa10b845ef13ec56c | [
"Apache-2.0"
] | 1 | 2020-04-22T13:08:21.000Z | 2020-04-22T13:08:21.000Z | from werkzeug.security import check_password_hash, generate_password_hash
from Database import DBController | 32.454545 | 77 | 0.634454 |
5685b5cef5145d202704edd6bc702b0eefad35b5 | 7,977 | py | Python | cpp/cpp_e.py | 3r1ck10/cpp | 2b3d076b48fcce9682d94ebcdcd0ee990cc6dded | [
"MIT"
] | null | null | null | cpp/cpp_e.py | 3r1ck10/cpp | 2b3d076b48fcce9682d94ebcdcd0ee990cc6dded | [
"MIT"
] | null | null | null | cpp/cpp_e.py | 3r1ck10/cpp | 2b3d076b48fcce9682d94ebcdcd0ee990cc6dded | [
"MIT"
] | null | null | null | import xarray as xray
import numpy as np
import pandas as pd
from .ploteos import correct_mon
from .ploteos_e import correct_e
| 52.137255 | 124 | 0.519368 |
568673ef2cde487c729769189c6ebe595faadce9 | 2,170 | py | Python | kts/ui/leaderboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 18 | 2019-02-14T13:10:07.000Z | 2021-11-26T07:10:13.000Z | kts/ui/leaderboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-02-17T14:06:42.000Z | 2019-09-15T18:05:54.000Z | kts/ui/leaderboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-09-15T13:12:42.000Z | 2020-04-15T14:05:54.000Z | import time
from kts.ui.components import HTMLRepr, Column, Field, Title, ThumbnailField, Raw
from kts.util.formatting import format_value
| 38.070175 | 160 | 0.595392 |
56868508641f95c8037312c6e71d709a9b56a1e6 | 229 | py | Python | mmdet/models/utils/builder.py | SuhyunL/Fashion-Object-Detection | 5870189a65f7c5d009beb763c34fefd029b9cce5 | [
"Apache-2.0"
] | 326 | 2021-05-06T01:15:09.000Z | 2022-03-30T14:52:13.000Z | mmdet/models/utils/builder.py | MCG-NJU/AdaMixer | 7cd998826da5f38e698cebb9a619bc322462a5db | [
"MIT"
] | 39 | 2021-05-20T02:54:40.000Z | 2022-03-31T09:16:46.000Z | mmdet/models/utils/builder.py | MCG-NJU/AdaMixer | 7cd998826da5f38e698cebb9a619bc322462a5db | [
"MIT"
] | 46 | 2021-05-08T22:25:27.000Z | 2022-03-28T08:11:51.000Z | from mmcv.utils import Registry, build_from_cfg
TRANSFORMER = Registry('Transformer')
def build_transformer(cfg, default_args=None):
"""Builder for Transformer."""
return build_from_cfg(cfg, TRANSFORMER, default_args)
| 25.444444 | 57 | 0.772926 |
5687b2eebefd1922fec6386607f4531267b31693 | 2,726 | py | Python | dags/etl_store_dag.py | nileshvarshney/airflow | 6bb31a3acdd5a9c8bb74ddb01a851adb99602b9b | [
"Apache-2.0"
] | null | null | null | dags/etl_store_dag.py | nileshvarshney/airflow | 6bb31a3acdd5a9c8bb74ddb01a851adb99602b9b | [
"Apache-2.0"
] | null | null | null | dags/etl_store_dag.py | nileshvarshney/airflow | 6bb31a3acdd5a9c8bb74ddb01a851adb99602b9b | [
"Apache-2.0"
] | null | null | null | # import python libraries
from airflow import DAG
from datetime import datetime, timedelta
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
from datacleaner import data_cleaner
from airflow.operators.mysql_operator import MySqlOperator
from airflow.op... | 32.843373 | 210 | 0.733309 |
568b420e2b194c6e850383a0e1263c01a6a582cb | 299 | py | Python | nilearn/decoding/__init__.py | sahahn/nilearn | 642399137b923e273b396a1c33aa06b8081089b7 | [
"BSD-2-Clause"
] | null | null | null | nilearn/decoding/__init__.py | sahahn/nilearn | 642399137b923e273b396a1c33aa06b8081089b7 | [
"BSD-2-Clause"
] | null | null | null | nilearn/decoding/__init__.py | sahahn/nilearn | 642399137b923e273b396a1c33aa06b8081089b7 | [
"BSD-2-Clause"
] | null | null | null | """
Decoding tools and algorithms.
"""
from .searchlight import SearchLight
from .space_net import SpaceNetClassifier, SpaceNetRegressor
from .decoder import Decoder, DecoderRegressor
__all__ = ['SearchLight', 'SpaceNetClassifier', 'SpaceNetRegressor', 'Decoder',
'DecoderRegressor']
| 23 | 79 | 0.762542 |
568b4f13f51fbd3e746104f8badc5ad0334c142c | 379 | py | Python | acq4/devices/MockPressureControl.py | campagnola/acq4 | 09699c07d8949950f6df149cf17892aaa3a37402 | [
"MIT"
] | 47 | 2015-01-05T16:18:10.000Z | 2022-03-16T13:09:30.000Z | acq4/devices/MockPressureControl.py | acq4/acq4 | c77636a76d68ffa1bc7dbd41edc522e523b909b8 | [
"MIT"
] | 48 | 2015-04-19T16:51:41.000Z | 2022-03-31T14:48:16.000Z | acq4/devices/MockPressureControl.py | acq4/acq4 | c77636a76d68ffa1bc7dbd41edc522e523b909b8 | [
"MIT"
] | 32 | 2015-01-15T14:11:49.000Z | 2021-07-15T13:44:52.000Z | from acq4.devices.PressureControl import PressureControl
| 23.6875 | 56 | 0.680739 |
568d2084adf71a287fd23fe49c7602c597d70fdf | 85 | py | Python | src/tcp/server/src/sizeof.py | gltchitm/pong-c-cheats | 64bdb50519db0ebdc68ae19c3ce738e658fb71d3 | [
"MIT"
] | null | null | null | src/tcp/server/src/sizeof.py | gltchitm/pong-c-cheats | 64bdb50519db0ebdc68ae19c3ce738e658fb71d3 | [
"MIT"
] | null | null | null | src/tcp/server/src/sizeof.py | gltchitm/pong-c-cheats | 64bdb50519db0ebdc68ae19c3ce738e658fb71d3 | [
"MIT"
] | null | null | null | SIZEOF_BYTE = 8
SIZEOF_INT_16 = 16 // SIZEOF_BYTE
SIZEOF_INT_32 = 32 // SIZEOF_BYTE
| 17 | 33 | 0.752941 |
568d890d93930eebca3929a03cee09545033af9c | 1,976 | py | Python | Pibow/sprinkles.py | ShineTop/Unicorn-HAT | 9ff1388ee627a8e81f361929e9e9b708db4e2832 | [
"MIT"
] | null | null | null | Pibow/sprinkles.py | ShineTop/Unicorn-HAT | 9ff1388ee627a8e81f361929e9e9b708db4e2832 | [
"MIT"
] | null | null | null | Pibow/sprinkles.py | ShineTop/Unicorn-HAT | 9ff1388ee627a8e81f361929e9e9b708db4e2832 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Sprinkles - Pibow
This program lights up and turns off random LEDS using the colors of the
Pibow Zero Candy case
....................
Functions:
- sprinkles: Lights up and turns off random LEDs
....................
Author: Paul Ryan
This program was written on a Raspberry Pi using the Geany... | 27.830986 | 72 | 0.508097 |
568f011991a22235f2ada3f55574b76cc47e5636 | 1,520 | py | Python | resource/choices.py | dataiku/dss-plugin-kayrros | 580ee752885f8f19883b81ea921df290c65b925a | [
"Apache-2.0"
] | 1 | 2021-09-23T03:05:59.000Z | 2021-09-23T03:05:59.000Z | resource/choices.py | dataiku/dss-plugin-kayrros | 580ee752885f8f19883b81ea921df290c65b925a | [
"Apache-2.0"
] | 2 | 2021-09-22T10:07:58.000Z | 2021-11-08T08:30:23.000Z | resource/choices.py | dataiku/dss-plugin-kayrros | 580ee752885f8f19883b81ea921df290c65b925a | [
"Apache-2.0"
] | null | null | null | import requests
import logging
from utils.authentification import get_headers
logger = logging.getLogger(__name__)
| 28.148148 | 100 | 0.614474 |
568fe2ca1c5825bb9a77cda8a3a20df6bfce2b30 | 2,402 | py | Python | src/titlescreen.py | bl-ackrain/Jetpack-Pokitto | 240a9afea7a2c91cd1d08184b615a3dfe5c24645 | [
"MIT"
] | null | null | null | src/titlescreen.py | bl-ackrain/Jetpack-Pokitto | 240a9afea7a2c91cd1d08184b615a3dfe5c24645 | [
"MIT"
] | null | null | null | src/titlescreen.py | bl-ackrain/Jetpack-Pokitto | 240a9afea7a2c91cd1d08184b615a3dfe5c24645 | [
"MIT"
] | null | null | null | # titlescreen.py
import upygame
logoPixels = b'\
\x99\x99\x99\x98\x80\x00\x00\x99\x99\x88\x80\x00\x99\x99\x98\x88\x80\x09\x99\x98\x88\x80\x09\x99\x88\x88\x00\x99\x99\x88\x80\x09\x99\x88\x09\
\x01\x11\x11\x19\x88\x00\x00\x91\x11\x98\x88\x99\x11\x11\x19\x98\x88\x99\x11\x99\x88\x88\x91\x11\x98\x88\x89\x11\x19\x9... | 96.08 | 142 | 0.731057 |
5690fed945f481b368f8606599bd5667fec6dd62 | 185 | py | Python | 01_evaluation_101/solutions/solution_09.py | jparrax/datascience_middle_course | 347dfd6f68fa0f90eac35e8154f3ea469ccbdea2 | [
"CC0-1.0"
] | 2 | 2021-11-10T10:13:25.000Z | 2022-01-12T08:11:59.000Z | 01_evaluation_101/solutions/solution_09.py | jparrax/datascience_middle_course | 347dfd6f68fa0f90eac35e8154f3ea469ccbdea2 | [
"CC0-1.0"
] | 2 | 2022-01-11T19:45:49.000Z | 2022-01-11T20:36:03.000Z | 01_evaluation_101/solutions/solution_09.py | jparrax/datascience_middle_course | 347dfd6f68fa0f90eac35e8154f3ea469ccbdea2 | [
"CC0-1.0"
] | 1 | 2022-01-12T08:12:11.000Z | 2022-01-12T08:12:11.000Z | ax = data.plot.scatter(x=data.columns[0], y=data.columns[1])
ax.plot(X["Flipper Length (mm)"], y_pred, color="black", linewidth=4)
_ = ax.set_title("Can I predict penguins' body mass")
| 46.25 | 69 | 0.702703 |
56920c08dfcb1a77f8cde28ba7bdd1f09b763b05 | 4,387 | py | Python | src/luh3417/snapshot/__init__.py | HenryJobst/luh3417 | 680c21739d2afb9559e4d8bdf4eedeaf5a6b1e28 | [
"WTFPL"
] | 1 | 2020-12-02T15:47:11.000Z | 2020-12-02T15:47:11.000Z | src/luh3417/snapshot/__init__.py | HenryJobst/luh3417 | 680c21739d2afb9559e4d8bdf4eedeaf5a6b1e28 | [
"WTFPL"
] | null | null | null | src/luh3417/snapshot/__init__.py | HenryJobst/luh3417 | 680c21739d2afb9559e4d8bdf4eedeaf5a6b1e28 | [
"WTFPL"
] | null | null | null | import subprocess
import re
from typing import Sequence, Text
from luh3417.luhfs import LocalLocation, Location, SshLocation
from luh3417.luhssh import SshManager
from luh3417.utils import LuhError
def rsync_files(source: Location, target: Location, delete: bool = False):
"""
Use rsync to copy files from a ... | 29.442953 | 114 | 0.664235 |
5692c81d7e2760ade8f07b80322678af0eaf034a | 988 | py | Python | Longest Palindrome.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Longest Palindrome.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Longest Palindrome.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | '''
Given a string which consists of lowercase or uppercase letters, find the length of the longest palindromes that can be built with those letters.
This is case sensitive, for example "Aa" is not considered a palindrome here.
Note:
Assume the length of given string will not exceed 1,010.
Example:
Input:
"abccccd... | 21.021277 | 145 | 0.508097 |
5692c82ddaadcc9854e670c4098765e47d7b4ad7 | 580 | py | Python | content/migrations/0025_auto_20200522_1158.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | 2 | 2022-01-24T23:30:18.000Z | 2022-01-26T00:21:22.000Z | content/migrations/0025_auto_20200522_1158.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | content/migrations/0025_auto_20200522_1158.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | # Generated by Django 3.0 on 2020-05-22 16:58
from django.db import migrations, models
| 24.166667 | 69 | 0.594828 |
5693d714eafd06865a07dedef3e3c8ed43436124 | 263 | py | Python | config_db.py | hung96ad/predict_price_cryptocurrencies | c13a9560045c6c028c26cacda1d089cd21246aaa | [
"Unlicense"
] | 4 | 2018-11-09T18:08:04.000Z | 2020-02-13T15:47:33.000Z | config_db.py | hung96ad/predict_price_cryptocurrencies | c13a9560045c6c028c26cacda1d089cd21246aaa | [
"Unlicense"
] | null | null | null | config_db.py | hung96ad/predict_price_cryptocurrencies | c13a9560045c6c028c26cacda1d089cd21246aaa | [
"Unlicense"
] | 5 | 2019-05-28T11:14:58.000Z | 2022-03-16T08:34:16.000Z | try:
import mysql.connector as mysql
except :
import MySQLdb as mysql
| 26.3 | 68 | 0.48289 |
56945336d8bb03130acbfab0a81f5207b0b6b6c3 | 19,334 | py | Python | tests/autodiff_test.py | GIS-PuppetMaster/TENSILE | e19f973bb30fba69a23644389c82a4471ee5a241 | [
"MIT"
] | null | null | null | tests/autodiff_test.py | GIS-PuppetMaster/TENSILE | e19f973bb30fba69a23644389c82a4471ee5a241 | [
"MIT"
] | null | null | null | tests/autodiff_test.py | GIS-PuppetMaster/TENSILE | e19f973bb30fba69a23644389c82a4471ee5a241 | [
"MIT"
] | 1 | 2020-09-27T07:27:47.000Z | 2020-09-27T07:27:47.000Z | from pycode.tinyflow import autodiff as ad
import numpy as np
from pycode.tinyflow import ndarray
from pycode.tinyflow import TrainExecute
from pycode.tinyflow import train
# executor = ad.Executor([y])
# res = executor.run(feed_dict={X: x_val,b: b_val,W: W_val})
# print('y_true'+str(y_val))
# ... | 31.747126 | 111 | 0.65646 |
569a7754edeb369bfa7791b3bdcf74473cb3053f | 3,780 | py | Python | GUI/Toolbox/metadata.py | Guillermo-Hidalgo-Gadea/RPi4Toolbox | 47a265aa9828f144155c097efc8ff36bd435099f | [
"MIT"
] | null | null | null | GUI/Toolbox/metadata.py | Guillermo-Hidalgo-Gadea/RPi4Toolbox | 47a265aa9828f144155c097efc8ff36bd435099f | [
"MIT"
] | null | null | null | GUI/Toolbox/metadata.py | Guillermo-Hidalgo-Gadea/RPi4Toolbox | 47a265aa9828f144155c097efc8ff36bd435099f | [
"MIT"
] | 1 | 2021-10-15T16:14:48.000Z | 2021-10-15T16:14:48.000Z | # Metadata module to save metadata as dictionary, save trial metadata as yaml and export metadata as csv
import yaml
import datetime
import pandas as pd
from pathlib import Path
def export():
"""
This function exports the metadata.yaml file to a standard metadata.csv and cleans the
metadata.yaml history a... | 43.953488 | 127 | 0.636508 |
569a865fd03cc8fb9438faa2823978a4952d4968 | 3,504 | py | Python | test_symnet_gczsl.py | Zoya-Hashmi/SymNet_copy | b306ca9ddc5b3e26c7ef05aa1f020d7f4e8313a9 | [
"Apache-2.0"
] | null | null | null | test_symnet_gczsl.py | Zoya-Hashmi/SymNet_copy | b306ca9ddc5b3e26c7ef05aa1f020d7f4e8313a9 | [
"Apache-2.0"
] | null | null | null | test_symnet_gczsl.py | Zoya-Hashmi/SymNet_copy | b306ca9ddc5b3e26c7ef05aa1f020d7f4e8313a9 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from utils.base_solver import BaseSolver
import os, logging, importlib, re, copy, random, tqdm, argparse
import os.path as osp
import cPickle as pickle
from pprint import pprint
from datetime import datetime
... | 29.948718 | 124 | 0.66895 |
569ec3463a6b9dc7fdb5c4eccfb276fd52b756ed | 1,190 | py | Python | jobya/companies/management/commands/setup_company.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | jobya/companies/management/commands/setup_company.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | 2 | 2022-02-08T01:15:52.000Z | 2022-03-31T04:24:15.000Z | jobya/companies/management/commands/setup_company.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | from django.core.management.base import BaseCommand
from django.db import transaction
from jobya.companies.models import Company
from jobya.companies.tests.factories import CompanyFactory
| 29.02439 | 67 | 0.607563 |
569f140d78f25e52085c587978a86ff31c34d8bd | 140,512 | py | Python | contrib/qa/bugzilla.py | crystalfontz/openembedded | 8af3377bf132113baa0766fd9021e0ce162a0944 | [
"MIT"
] | 70 | 2015-02-23T04:18:51.000Z | 2022-03-15T02:01:27.000Z | contrib/qa/bugzilla.py | buglabs/oe-buglabs | b8a4c4b1358214cd3ac1cf6f85154e9c62b16ce7 | [
"MIT"
] | 1 | 2020-09-07T15:33:56.000Z | 2020-09-07T15:33:56.000Z | contrib/qa/bugzilla.py | buglabs/oe-buglabs | b8a4c4b1358214cd3ac1cf6f85154e9c62b16ce7 | [
"MIT"
] | 88 | 2015-02-11T12:03:16.000Z | 2022-03-30T11:33:42.000Z | #
# BugZilla query page scanner to work with ancient
# Debian Stable bugzilla installationss
#
# This includes three test sites
# site contains one bug entry
# all_bugs contains all Openmoko bugs as of \today
# no_bug is a query which showed no bug
#
from HTMLParser import HTMLParser
#
bugs_openmoko = """<!-- ... | 16.970048 | 1,068 | 0.534723 |
569fd8ab2bfa51b46a8fc425da22db12d4345b01 | 2,188 | py | Python | presenter.py | liordon/motion_detector | 7c22062bb3a8b254d9e4a3d6d88a89d89320785a | [
"Unlicense"
] | null | null | null | presenter.py | liordon/motion_detector | 7c22062bb3a8b254d9e4a3d6d88a89d89320785a | [
"Unlicense"
] | null | null | null | presenter.py | liordon/motion_detector | 7c22062bb3a8b254d9e4a3d6d88a89d89320785a | [
"Unlicense"
] | null | null | null | import ast
import datetime
import cv2
import psutil
from utils import *
| 33.661538 | 91 | 0.612431 |
56a0677ee2c20f71870059ac35a9ec0979418868 | 3,412 | py | Python | mllearn/problem_transform/klabelsets.py | Lxinyuelxy/multi-label-learn | ab347e9c9ccac1503f22c7b76e0b3e9a4e8214da | [
"MIT"
] | 4 | 2018-11-19T13:34:53.000Z | 2020-01-11T11:58:13.000Z | mllearn/problem_transform/klabelsets.py | Lxinyuelxy/multi-label-learn | ab347e9c9ccac1503f22c7b76e0b3e9a4e8214da | [
"MIT"
] | null | null | null | mllearn/problem_transform/klabelsets.py | Lxinyuelxy/multi-label-learn | ab347e9c9ccac1503f22c7b76e0b3e9a4e8214da | [
"MIT"
] | 3 | 2019-04-14T18:13:33.000Z | 2021-04-05T14:45:56.000Z | import copy
import random
import numpy as np
from sklearn.svm import SVC
| 36.297872 | 87 | 0.566823 |
56a0e67715f2ad6066c4212bdf3b6c7670e86244 | 406 | py | Python | users/tests/test_view.py | VladaDidko/skill- | 861c08376e2bc9b9a5a44e3a8560324ee53ce2d0 | [
"Unlicense"
] | null | null | null | users/tests/test_view.py | VladaDidko/skill- | 861c08376e2bc9b9a5a44e3a8560324ee53ce2d0 | [
"Unlicense"
] | 18 | 2019-05-28T17:20:34.000Z | 2022-03-11T23:50:12.000Z | users/tests/test_view.py | VladaDidko/skill- | 861c08376e2bc9b9a5a44e3a8560324ee53ce2d0 | [
"Unlicense"
] | 3 | 2019-05-27T09:51:54.000Z | 2019-12-12T20:35:29.000Z | from django.test import TestCase, Client
from django.urls import reverse | 29 | 58 | 0.768473 |
56a142df9367848a23bc2307ae8b5ba73cf7b0ac | 976 | py | Python | incidences/forms.py | atlasfoo/risk_audit_websys | df43a48699b16d0d0bade3f597d889bfe20eda7b | [
"MIT"
] | null | null | null | incidences/forms.py | atlasfoo/risk_audit_websys | df43a48699b16d0d0bade3f597d889bfe20eda7b | [
"MIT"
] | 13 | 2021-05-28T05:22:16.000Z | 2021-06-02T05:49:07.000Z | incidences/forms.py | atlasfoo/risksys | df43a48699b16d0d0bade3f597d889bfe20eda7b | [
"MIT"
] | null | null | null | from django import forms
from incidences.models import Incidence
| 39.04 | 98 | 0.571721 |
56a2df9338d095c9e041cd414ec3dfeb1e4f74ab | 2,206 | py | Python | Detector.py | Corzair1/EyeC | 0e90f8d296833c6d4b9d8eeeeed48d3a05d52ffb | [
"MIT"
] | null | null | null | Detector.py | Corzair1/EyeC | 0e90f8d296833c6d4b9d8eeeeed48d3a05d52ffb | [
"MIT"
] | null | null | null | Detector.py | Corzair1/EyeC | 0e90f8d296833c6d4b9d8eeeeed48d3a05d52ffb | [
"MIT"
] | null | null | null | import cv2 as cv
import numpy as np
from urllib.request import urlopen
import os
import datetime
import time
import sys
#change to your ESP32-CAM ip
url="http://192.168.31.184:81/stream"
CAMERA_BUFFRER_SIZE=4096
stream=urlopen(url)
bts=b''
while True:
try:
while True:
bts+=stream.read(CAMERA_BU... | 29.413333 | 106 | 0.497733 |
56a3e14dbfe824cc296d28795afa04041f550530 | 3,489 | py | Python | imdb/imdb/spiders/imdb_3.py | KarolinaSzwedo/WebscrapingProject | fb59c476df8632a449290f9a4374501673729d7c | [
"MIT"
] | 1 | 2021-05-02T20:21:26.000Z | 2021-05-02T20:21:26.000Z | imdb/imdb/spiders/imdb_3.py | KarolinaSzwedo/WebscrapingProject | fb59c476df8632a449290f9a4374501673729d7c | [
"MIT"
] | null | null | null | imdb/imdb/spiders/imdb_3.py | KarolinaSzwedo/WebscrapingProject | fb59c476df8632a449290f9a4374501673729d7c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
| 50.565217 | 162 | 0.5953 |
56a469688cdd8e5eda3a9186b703e25f8c24b34a | 14,742 | py | Python | main.py | odgon/monitoring-vertica | 300cc2bbe490dddc331475732cb6d5766a128efb | [
"MIT"
] | 3 | 2020-07-29T19:30:25.000Z | 2022-03-20T13:57:28.000Z | main.py | odgon/monitoring-vertica | 300cc2bbe490dddc331475732cb6d5766a128efb | [
"MIT"
] | null | null | null | main.py | odgon/monitoring-vertica | 300cc2bbe490dddc331475732cb6d5766a128efb | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from vc import vc
import json
from fastapi.openapi.utils import get_openapi
from fastapi.openapi.docs import (
get_redoc_html,
get_swagger_ui_html,
get_swagger_ui_oauth2_redirect_html,
)
with open('config.json') as jf:
d = json.load(jf)
vh = d['vertica']['host']
vpo ... | 31.035789 | 353 | 0.574413 |
56a6e49ba851394662aa10e00d7024d9b014ea05 | 489 | py | Python | default_arg.py | Baibhabswain/pythonPrograms | 38380174f22e73b766b98754b00cd78a56b4bf59 | [
"MIT"
] | 1 | 2019-03-29T04:32:09.000Z | 2019-03-29T04:32:09.000Z | default_arg.py | Baibhabswain/pythonPrograms | 38380174f22e73b766b98754b00cd78a56b4bf59 | [
"MIT"
] | null | null | null | default_arg.py | Baibhabswain/pythonPrograms | 38380174f22e73b766b98754b00cd78a56b4bf59 | [
"MIT"
] | null | null | null | main()
| 21.26087 | 134 | 0.621677 |
56a76dadea90c2fbb35f8500b4065a9f37d7b50f | 713 | py | Python | formatcode/base/utils.py | peredryaga/excel-number-format | 490f91920322d1fcf6698f6ba9923565a13ba1d4 | [
"MIT"
] | null | null | null | formatcode/base/utils.py | peredryaga/excel-number-format | 490f91920322d1fcf6698f6ba9923565a13ba1d4 | [
"MIT"
] | null | null | null | formatcode/base/utils.py | peredryaga/excel-number-format | 490f91920322d1fcf6698f6ba9923565a13ba1d4 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import division, print_function, unicode_literals
from abc import ABCMeta
def is_digit(value):
try:
float(value)
return True
except (ValueError, TypeError):
return False
| 22.28125 | 81 | 0.653576 |
56a7cb8d0a515d0d03e5c9639c22d946905c0f63 | 715 | py | Python | exercises/knowledge_model.py | dana19-meet/y2s18-databases | f09ea9fe0f23449aba018d3330a5dc51c24930f8 | [
"MIT"
] | null | null | null | exercises/knowledge_model.py | dana19-meet/y2s18-databases | f09ea9fe0f23449aba018d3330a5dc51c24930f8 | [
"MIT"
] | null | null | null | exercises/knowledge_model.py | dana19-meet/y2s18-databases | f09ea9fe0f23449aba018d3330a5dc51c24930f8 | [
"MIT"
] | null | null | null | from sqlalchemy import Column, Integer, String, Boolean
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from sqlalchemy import create_engine
Base = declarative_base()
site1= Knowledge(IDnumber=1,name="sport",topic="swimming",rating=8)
# print(site1.__repr_... | 27.5 | 67 | 0.752448 |
56a7f7164acbc9e276761cd5fcdf3c19afa81699 | 404 | py | Python | examples/type/str_ipv4_data.py | junpuf/serial-j | e01f9c0af39ee5ddba1fb35d042c99cbfa02641d | [
"MIT"
] | 1 | 2019-08-30T18:14:45.000Z | 2019-08-30T18:14:45.000Z | examples/type/str_ipv4_data.py | junpuf/serial-j | e01f9c0af39ee5ddba1fb35d042c99cbfa02641d | [
"MIT"
] | 5 | 2019-07-17T01:27:20.000Z | 2019-08-29T14:13:58.000Z | examples/type/str_ipv4_data.py | JunpuFan/serial-j | e01f9c0af39ee5ddba1fb35d042c99cbfa02641d | [
"MIT"
] | null | null | null | from serial_j import SerialJ
valid_data = StrIPv4Data({'prop1': '172.16.255.1'})
print(valid_data)
# >>> {"prop1": "172.16.255.1"}
invalid_data = StrIPv4Data({'prop1': '172.16.256.1'})
# >>> ValueError: Property: 'prop1' with Value: '172.16.256.1' does not confirm with Type: (<class 'str'>, 'ipv4').
| 25.25 | 115 | 0.618812 |
3b05ff6c3393fdf9cff7387c667789a685e86381 | 6,465 | py | Python | drive.py | 7th-mod-korea/when_they_cry_converter | 92956d40c02ece1b0536fbddc9799553e11af93c | [
"MIT"
] | 1 | 2020-03-10T01:16:34.000Z | 2020-03-10T01:16:34.000Z | drive.py | 7th-mod-korea/when_they_cry_converter | 92956d40c02ece1b0536fbddc9799553e11af93c | [
"MIT"
] | null | null | null | drive.py | 7th-mod-korea/when_they_cry_converter | 92956d40c02ece1b0536fbddc9799553e11af93c | [
"MIT"
] | null | null | null | from __future__ import print_function
import pickle
import os.path
import sys
import hashlib
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from apiclient import errors
from googleapiclient.http import MediaIoBaseDown... | 39.662577 | 106 | 0.605878 |
3b069538dfe981f0fa7968f67f5bda04646284dd | 152,330 | py | Python | google/ads/google_ads/v4/types.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v4/types.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v4/types.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # -*- 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... | 82.698154 | 167 | 0.808029 |
3b08aa7fb58998cc3b6424f138688be5f547dfe9 | 15,841 | py | Python | minecraftcogs/chatrelay.py | jinkhya/Charfred_Cogs | d6afc4c02e668c046ba40e9a7afae68004658f6d | [
"MIT"
] | null | null | null | minecraftcogs/chatrelay.py | jinkhya/Charfred_Cogs | d6afc4c02e668c046ba40e9a7afae68004658f6d | [
"MIT"
] | null | null | null | minecraftcogs/chatrelay.py | jinkhya/Charfred_Cogs | d6afc4c02e668c046ba40e9a7afae68004658f6d | [
"MIT"
] | null | null | null | import logging
import asyncio
from concurrent.futures import CancelledError
from discord.ext import commands
from utils import Config, permission_node
log = logging.getLogger('charfred')
formats = {
'MSG': '[**{}**] {}: {}',
'STF': '**{}**: {}',
'DTH': '[**{}**] {} {}',
'ME': '[**{}**] {}: {}',
'S... | 40.307888 | 99 | 0.540496 |
3b0aff3db58f48e9ba786715261c204ed5990700 | 7,504 | py | Python | Code/SubwayMap.py | VGarK/Mapz | e09654b261ae25fbc73c677432aff5e26f43e42f | [
"MIT"
] | null | null | null | Code/SubwayMap.py | VGarK/Mapz | e09654b261ae25fbc73c677432aff5e26f43e42f | [
"MIT"
] | null | null | null | Code/SubwayMap.py | VGarK/Mapz | e09654b261ae25fbc73c677432aff5e26f43e42f | [
"MIT"
] | null | null | null | # This file has all the functions required to load the information of a city.
# - Definition of the class Station
# - Definition of the class CityInfo
# - Read functions from files
# - Structure of the information
#
__authors__='TO_BE_FILLED'
__group__='DL01'
# __________________________________________________________... | 41.458564 | 136 | 0.597415 |
3b0ce22e9f3f3849e6cb4645ba1ee7779174285d | 5,290 | py | Python | deprecated/converters/gw100_converter.py | materials-data-facility/connect | 9ec5b61750bf6fa579bf3ec122f31880d3c049b8 | [
"Apache-2.0"
] | 1 | 2019-09-13T18:35:56.000Z | 2019-09-13T18:35:56.000Z | deprecated/converters/gw100_converter.py | materials-data-facility/connect_server | 9ec5b61750bf6fa579bf3ec122f31880d3c049b8 | [
"Apache-2.0"
] | 15 | 2018-11-01T18:08:11.000Z | 2021-12-06T17:55:03.000Z | deprecated/converters/gw100_converter.py | materials-data-facility/connect | 9ec5b61750bf6fa579bf3ec122f31880d3c049b8 | [
"Apache-2.0"
] | 1 | 2020-11-30T17:02:41.000Z | 2020-11-30T17:02:41.000Z | import json
import sys
import os
from tqdm import tqdm
from mdf_refinery.validator import Validator
from mdf_refinery.parsers.tab_parser import parse_tab
# VERSION 0.3.0
# This is the converter for the GW100 dataset.
# Arguments:
# input_path (string): The file or directory where the data resides.
# NOTE: D... | 31.488095 | 548 | 0.520038 |
3b0e593188304a562ee695aad90eb0041fcdd4ae | 112 | py | Python | utils/__init__.py | valschneider/lauzhack2017 | 36fe0bb043165fa788a28863298332d70a95a57a | [
"MIT"
] | null | null | null | utils/__init__.py | valschneider/lauzhack2017 | 36fe0bb043165fa788a28863298332d70a95a57a | [
"MIT"
] | null | null | null | utils/__init__.py | valschneider/lauzhack2017 | 36fe0bb043165fa788a28863298332d70a95a57a | [
"MIT"
] | null | null | null | from abstract_keyboard import KeyData, AbstractKeyboard, Colours
from physical_keyboard import PhysicalKeyboard
| 37.333333 | 64 | 0.892857 |
3b1083dfb47666192fcefb6373fe2fcf7bc0a2fb | 9,098 | py | Python | backend/backend.py | Mishelles/vk-spotify-playlist-transfer | 4c15a9e35b1ff9aa81c7d36c53ef69b54d5a6914 | [
"MIT"
] | 1 | 2021-04-16T21:48:21.000Z | 2021-04-16T21:48:21.000Z | backend/backend.py | Mishelles/vk-spotify-playlist-transfer | 4c15a9e35b1ff9aa81c7d36c53ef69b54d5a6914 | [
"MIT"
] | 8 | 2021-04-05T17:16:10.000Z | 2021-10-12T13:31:19.000Z | backend/backend.py | Mishelles/vk-spotify-playlist-transfer | 4c15a9e35b1ff9aa81c7d36c53ef69b54d5a6914 | [
"MIT"
] | null | null | null | import os
import uuid
import json
import yaml
import re
from nltk.tokenize import RegexpTokenizer
import requests
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from get_root_access_token_for_sp import get_token
from pydantic import BaseModel
from vkaudiotoken import (... | 30.530201 | 125 | 0.62783 |
3b121f96edfab2bb880eeea95628f1c1be9789b4 | 8,616 | py | Python | src/Noncircular/Calculations/_Appendix13_7_c.py | thepvguy/calctoys | f7ef4e422d8a27cc387c1a24b5fb6e318d774f57 | [
"Unlicense"
] | 7 | 2018-07-17T08:01:34.000Z | 2021-06-14T03:33:58.000Z | src/Noncircular/Calculations/_Appendix13_7_c.py | thepvguy/calctoys | f7ef4e422d8a27cc387c1a24b5fb6e318d774f57 | [
"Unlicense"
] | null | null | null | src/Noncircular/Calculations/_Appendix13_7_c.py | thepvguy/calctoys | f7ef4e422d8a27cc387c1a24b5fb6e318d774f57 | [
"Unlicense"
] | 6 | 2018-10-01T10:29:58.000Z | 2022-01-24T22:34:16.000Z | import math
# TODO: Implement acceptibility tests
if __name__ == "__main__":
import copy
params_inner = Appendix13_7_cParams(
internal_pressure=100,
corner_radius=3,
short_side_half_length=5,
long_side_half_length=10,
thickness=1
)
calc_inner = Appendix13_7_c... | 32.636364 | 163 | 0.558264 |
3b1344dd323e948e9f6017df3b1661af235dfa13 | 1,619 | py | Python | tests/api_resources/test_file_link.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 8 | 2021-05-29T08:57:58.000Z | 2022-02-19T07:09:25.000Z | tests/api_resources/test_file_link.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 5 | 2021-05-31T10:18:36.000Z | 2022-01-25T11:39:03.000Z | tests/api_resources/test_file_link.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-05-29T13:27:10.000Z | 2021-05-29T13:27:10.000Z | from __future__ import absolute_import, division, print_function
import stripe
import pytest
pytestmark = pytest.mark.asyncio
TEST_RESOURCE_ID = "link_123"
| 33.040816 | 67 | 0.683138 |
3b15a52f6be4dc16088c1fb00a71fbd34c59ea53 | 762 | py | Python | L1Trigger/GlobalTriggerAnalyzer/python/l1GtBeamModeFilter_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | L1Trigger/GlobalTriggerAnalyzer/python/l1GtBeamModeFilter_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | L1Trigger/GlobalTriggerAnalyzer/python/l1GtBeamModeFilter_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
l1GtBeamModeFilter = cms.EDFilter("L1GtBeamModeFilter",
# input tag for input tag for ConditionInEdm products
CondInEdmInputTag = cms.InputTag("conditionsInEdm"),
# input tag for the L1 GT EVM product
L1GtEvmReadoutRecordTag = cms.InputTag("gtEvmDigis"),
... | 34.636364 | 71 | 0.675853 |
3b168867b6c2192e22d3fb03d5618d1c3ca2e893 | 3,177 | py | Python | python/Day11/seating.py | joelbygger/adventofcode20 | 35f9f4fa9bf051f420a22400c896bc7d26dc44d7 | [
"MIT"
] | null | null | null | python/Day11/seating.py | joelbygger/adventofcode20 | 35f9f4fa9bf051f420a22400c896bc7d26dc44d7 | [
"MIT"
] | null | null | null | python/Day11/seating.py | joelbygger/adventofcode20 | 35f9f4fa9bf051f420a22400c896bc7d26dc44d7 | [
"MIT"
] | null | null | null | import copy
# def _in_matrix(pos, seats):
# return 0 <= pos[0] < len(seats[0]) and 0 <= pos[1] < len(seats)
def _iterate(self, ignore_floor, tolerant):
new_seats = copy.deepcopy(self._seats)
for y, row in enumerate(self._seats):
for x, seat in enumerate(row):
nei... | 28.621622 | 103 | 0.537299 |
3b1770ba8b608be4e3ab9c20fe2c9cb9f117e749 | 1,408 | py | Python | main.py | LucioC/sortable | 4301188933eeec96b7da3f906d80fc35ad154032 | [
"Apache-2.0"
] | null | null | null | main.py | LucioC/sortable | 4301188933eeec96b7da3f906d80fc35ad154032 | [
"Apache-2.0"
] | null | null | null | main.py | LucioC/sortable | 4301188933eeec96b7da3f906d80fc35ad154032 | [
"Apache-2.0"
] | null | null | null | import os
import json
from challenge import FileReader, Product, Listing, MatchSearch
import challenge
reader = FileReader()
search = MatchSearch()
products = reader.read_products('products.txt');
listings = reader.read_listings('listings.txt');
listings = listings[0:1000]
result = search.match_listings(listings, pro... | 22.709677 | 78 | 0.734375 |
3b17829d2a52135864702c72229a5562364d0705 | 130 | py | Python | src/cascade/input_data/configuration/sex.py | adolgert/cascade | 2084e07c9ee5e901dd407b817220de882c7246a3 | [
"MIT"
] | null | null | null | src/cascade/input_data/configuration/sex.py | adolgert/cascade | 2084e07c9ee5e901dd407b817220de882c7246a3 | [
"MIT"
] | null | null | null | src/cascade/input_data/configuration/sex.py | adolgert/cascade | 2084e07c9ee5e901dd407b817220de882c7246a3 | [
"MIT"
] | null | null | null | SEX_ID_TO_NAME = {
1: "male",
2: "female",
3: "both",
}
SEX_NAME_TO_ID = {v: k for (k, v) in SEX_ID_TO_NAME.items()}
| 16.25 | 60 | 0.561538 |
3b1818292a74a7d0a408bdab02e5f3c26aa5c07c | 1,431 | py | Python | squidward/tools/download_logs_sftp.py | wirrja/squidward | 72945f6898f567e577aa74680b2a518b8e9a2b59 | [
"Apache-2.0"
] | null | null | null | squidward/tools/download_logs_sftp.py | wirrja/squidward | 72945f6898f567e577aa74680b2a518b8e9a2b59 | [
"Apache-2.0"
] | null | null | null | squidward/tools/download_logs_sftp.py | wirrja/squidward | 72945f6898f567e577aa74680b2a518b8e9a2b59 | [
"Apache-2.0"
] | null | null | null | import paramiko
from django.conf import settings
remotepath = settings.SQUID_LOGDIR_REMOTE
remotepath_messages = settings.PPTP_LOGDIR_REMOTE
username = settings.SQUID_USERNAME
password = settings.SQUID_PASSWORD
# local path for both log types and programs
localpath = settings.SQUID_LOGDIR
log_filename = s... | 28.62 | 91 | 0.639413 |
3b19ff6520a92cbe9bced32400b4df1a8b799dfb | 1,057 | py | Python | Executables/PythonScriptTakingArguments.py | SimioLLC/RunExecutableStep | 377fde62b3ce022a54c7f60d8d1fe70880ce610c | [
"MIT"
] | 2 | 2021-12-12T14:30:51.000Z | 2022-02-08T07:31:50.000Z | Executables/PythonScriptTakingArguments.py | SimioLLC/RunExecutableStep | 377fde62b3ce022a54c7f60d8d1fe70880ce610c | [
"MIT"
] | 2 | 2021-05-20T17:17:11.000Z | 2022-02-09T06:58:22.000Z | Executables/PythonScriptTakingArguments.py | SimioLLC/RunExecutableStep | 377fde62b3ce022a54c7f60d8d1fe70880ce610c | [
"MIT"
] | null | null | null | import sys
import datetime
# Sample program to be initiated by the Simio Step RunExecutable with "Python" ArgumentLogic.
# This runs python scripts with argument convention of: 1st arg is the script name, followed
# by arguments. All args are surrounded with a double-quote.
# The script append-prints the arguments it ... | 30.2 | 93 | 0.639546 |
3b1a2bad79b0569b3ffa94c11cc30ebadfab7c45 | 139 | py | Python | python/dragonradio/dragonradio/net/__init__.py | drexelwireless/dragonradio | 885abd68d56af709e7a53737352641908005c45b | [
"MIT"
] | 8 | 2020-12-05T20:30:54.000Z | 2022-01-22T13:32:14.000Z | python/dragonradio/dragonradio/net/__init__.py | drexelwireless/dragonradio | 885abd68d56af709e7a53737352641908005c45b | [
"MIT"
] | 3 | 2020-10-28T22:15:27.000Z | 2021-01-27T14:43:41.000Z | python/dragonradio/dragonradio/net/__init__.py | drexelwireless/dragonradio | 885abd68d56af709e7a53737352641908005c45b | [
"MIT"
] | null | null | null | # Copyright 2021 Drexel University
# Author: Geoffrey Mainland <mainland@drexel.edu>
try:
from _dragonradio.net import *
except:
pass
| 17.375 | 49 | 0.76259 |
3b1ca3b503a037398aebee47693ea3fd4611ebf6 | 8,712 | py | Python | app/handlers/gear_handlers.py | lik33v3n/Tower-of-God | 1e6c86939f053739f9e73d56fd1c04d7fb444e8b | [
"MIT"
] | 3 | 2020-06-28T18:04:12.000Z | 2022-02-15T19:46:47.000Z | app/handlers/gear_handlers.py | lik33v3n/Tower-of-God | 1e6c86939f053739f9e73d56fd1c04d7fb444e8b | [
"MIT"
] | null | null | null | app/handlers/gear_handlers.py | lik33v3n/Tower-of-God | 1e6c86939f053739f9e73d56fd1c04d7fb444e8b | [
"MIT"
] | null | null | null | import logging
from contextlib import suppress
from math import fabs
from aiogram.dispatcher import FSMContext
from aiogram.types import CallbackQuery, Message, ReplyKeyboardRemove
from aiogram.utils.exceptions import (MessageToDeleteNotFound,
MessageToEditNotFound)
from app.__ma... | 44.676923 | 184 | 0.609734 |
3b1ce50f7d1f70a241cbdefb23a5cd91698686da | 206 | py | Python | Mundo1/ex021-import.playsound.py | YuriBraga/Python_Course | 1f72ec02e9fa911ddbf28830542374a419d15a6c | [
"MIT"
] | null | null | null | Mundo1/ex021-import.playsound.py | YuriBraga/Python_Course | 1f72ec02e9fa911ddbf28830542374a419d15a6c | [
"MIT"
] | null | null | null | Mundo1/ex021-import.playsound.py | YuriBraga/Python_Course | 1f72ec02e9fa911ddbf28830542374a419d15a6c | [
"MIT"
] | null | null | null | '''from pygame import mixer
mixer.init()
mixer.music.load('ex021.mp3')
mixer.music.play()
input('Agora d para escutar')'''
# Pode ser feito assim tambm:
import playsound
playsound.playsound('ex021.mp3')
| 20.6 | 33 | 0.742718 |
3b1d65a917c8c063a1bd09d9e9f6843cb500fb33 | 701 | py | Python | app/project/config.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | app/project/config.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | app/project/config.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | """
project.conf
Configuration module holding all the options
"""
DEBUG = True
import os
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
MONGO_DBNAME = os.environ.get("MONGOHQ_URL") or "mongodb://localhost:27017/shakuni"
THREADS_PER_PAGE = 2
CSRF_ENABLED = True
CSRF_SESSION_KEY = "secret"
SECRET_KEY = "sec... | 21.90625 | 97 | 0.723252 |
3b1d776e41dc299f7cabc58c3c4496054743240c | 310 | py | Python | __init__.py | jamespacileo/packaginator | d4b51ae16e0658fade91e1a6c4ce987ee747b053 | [
"MIT"
] | 14 | 2015-10-03T07:34:28.000Z | 2021-09-20T07:10:29.000Z | __init__.py | pythonchelle/opencomparison | b39d279e25527520c66335e51455d1f9ba749c9b | [
"MIT"
] | 23 | 2019-10-25T08:47:23.000Z | 2022-01-30T02:00:45.000Z | __init__.py | pythonchelle/opencomparison | b39d279e25527520c66335e51455d1f9ba749c9b | [
"MIT"
] | 7 | 2016-10-04T08:10:36.000Z | 2021-09-20T07:10:33.000Z | # -*- coding: utf-8 -*-
__about__ = """
This project comes with the bare minimum set of applications and templates
to get you started. It includes no extra tabs, only the profile and notices
tabs are included by default. From here you can add any extra functionality
and applications that you would like.
"""
| 34.444444 | 75 | 0.758065 |
3b1def38d43dac35f2085935c4181e7f579d703d | 209 | py | Python | src/ikazuchi/core/handler/__init__.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | src/ikazuchi/core/handler/__init__.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | src/ikazuchi/core/handler/__init__.py | t2y/ikazuchi | 7023111e92fa47360c50cfefd1398c554475f2c6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from base import BaseHandler, LanguageHandler, NullHandler
from text import SingleSentenceHandler
__all__ = [
"LanguageHandler",
"NullHandler",
"SingleSentenceHandler",
]
| 19 | 58 | 0.717703 |
3b1e0e175fb077fad4c9db8318a631de85c5f035 | 2,934 | py | Python | Script/train_w2v.py | zrfan/Tencent-Ads-Algo-Comp-2020 | 8b52df4b86b95de581549e61d15a1403f636d530 | [
"MIT"
] | null | null | null | Script/train_w2v.py | zrfan/Tencent-Ads-Algo-Comp-2020 | 8b52df4b86b95de581549e61d15a1403f636d530 | [
"MIT"
] | null | null | null | Script/train_w2v.py | zrfan/Tencent-Ads-Algo-Comp-2020 | 8b52df4b86b95de581549e61d15a1403f636d530 | [
"MIT"
] | 2 | 2020-06-18T05:05:55.000Z | 2020-12-21T06:30:08.000Z | import os
import sys
import numpy as np
import pandas as pd
import logging
import gc
import tqdm
import pickle
import json
import time
import tempfile
from gensim.models import Word2Vec
cwd = os.getcwd()
embed_path = os.path.join(cwd, 'embed_artifact')
# Training corpus for w2v model
corpus_dic = {
'creative': os.p... | 31.212766 | 130 | 0.719496 |
3b1f18f1cb1193facb4ab6b88b9e77bb24dc04a6 | 8,632 | py | Python | src/utils.py | huyhoang17/DB_text_minimal | 0d1466889b21cb74a0571a0fb3856902739ea523 | [
"MIT"
] | 30 | 2020-07-20T12:13:27.000Z | 2022-03-08T06:30:31.000Z | src/utils.py | huyhoang17/DB_text_minimal | 0d1466889b21cb74a0571a0fb3856902739ea523 | [
"MIT"
] | 10 | 2020-08-11T10:21:11.000Z | 2022-03-07T15:27:49.000Z | src/utils.py | huyhoang17/DB_text_minimal | 0d1466889b21cb74a0571a0fb3856902739ea523 | [
"MIT"
] | 6 | 2020-09-02T10:58:00.000Z | 2021-08-13T01:43:47.000Z | import os
import gc
import glob
import time
import random
import imageio
import logging
from functools import wraps
import cv2
import numpy as np
import matplotlib.pyplot as plt
import torch
import torchvision.utils as torch_utils
from postprocess import SegDetectorRepresenter
# device = torch.device("cuda" if torch... | 30.394366 | 79 | 0.597544 |
3b1f289d94d22713713a02c29b3bffd65bfda6e1 | 45,021 | py | Python | example/demos/views.py | bashu/django-uncharted | b285b4dfc8310cb62e7535fb39326916e2c81159 | [
"MIT"
] | 9 | 2015-06-07T06:50:42.000Z | 2020-09-04T05:57:20.000Z | example/demos/views.py | bashu/django-uncharted | b285b4dfc8310cb62e7535fb39326916e2c81159 | [
"MIT"
] | 1 | 2015-09-24T08:17:25.000Z | 2019-03-31T03:51:00.000Z | example/demos/views.py | bashu/django-uncharted | b285b4dfc8310cb62e7535fb39326916e2c81159 | [
"MIT"
] | 2 | 2018-11-13T22:56:05.000Z | 2020-11-18T07:18:49.000Z | # -*- coding: utf-8 -*-
from random import random
from datetime import timedelta
from django.conf import settings
from django.utils import timezone
from django.views.generic import TemplateView
from uncharted.chart import *
area100PercentStacked = Area100PercentStacked.as_view()
areaStacked = AreaStacked.as_view... | 26.420775 | 103 | 0.49046 |
3b1feff132bdd5118a48fe91a841752101d30350 | 2,930 | py | Python | bot.py | ktrieu/idea-bot | ad02dc21d320b73027e09d4d123df8e6ee139f7c | [
"MIT"
] | null | null | null | bot.py | ktrieu/idea-bot | ad02dc21d320b73027e09d4d123df8e6ee139f7c | [
"MIT"
] | null | null | null | bot.py | ktrieu/idea-bot | ad02dc21d320b73027e09d4d123df8e6ee139f7c | [
"MIT"
] | null | null | null | from dotenv import load_dotenv
import os
import discord
from generator import (
GeneratorProcess,
GenerateRequest,
StopRequest,
ResponseType,
)
from multiprocessing import Pipe
import util
import asyncio
load_dotenv()
ALLOWED_CHANNELS = {"secret-channel-name", "beyond-ideas"}
TEST_SERVER_ID = 74822840... | 29.897959 | 92 | 0.617747 |
3b21bc3e72739e8aa2087fd962b62ceaa0418fc1 | 7,090 | py | Python | jerml/transformers.py | jmann277/jers_ml_tools | faaaa202b1f5406ff47821474bd8eb14bce22f77 | [
"MIT"
] | null | null | null | jerml/transformers.py | jmann277/jers_ml_tools | faaaa202b1f5406ff47821474bd8eb14bce22f77 | [
"MIT"
] | 3 | 2021-06-08T22:12:54.000Z | 2022-01-13T03:09:06.000Z | jerml/transformers.py | jmann277/jers_ml_tools | faaaa202b1f5406ff47821474bd8eb14bce22f77 | [
"MIT"
] | null | null | null | '''
This module contains a medley of sklearn transformers which can be integrated
into a pipeline.
'''
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.decomposition import PCA
from scipy.stats import kstat
from homcv import betti_numbers
| 30.560345 | 89 | 0.596474 |
3b2534c0418b9126bf14031fac35d279d4d24036 | 2,220 | py | Python | experiment1_meantime.py | mcsosa121/KSRFILS | 75995933771d8338de33cc9bbb5e9416e4242c6b | [
"MIT"
] | null | null | null | experiment1_meantime.py | mcsosa121/KSRFILS | 75995933771d8338de33cc9bbb5e9416e4242c6b | [
"MIT"
] | null | null | null | experiment1_meantime.py | mcsosa121/KSRFILS | 75995933771d8338de33cc9bbb5e9416e4242c6b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import numpy
from krypy.linsys import LinearSystem, Cg
from krypy.deflation import DeflatedCg, DeflatedGmres, Ritz
from krypy.utils import Arnoldi, ritz, BoundCG
from krypy.recycling import RecyclingCg
from krypy.recycling.factories import RitzFactory,RitzFactorySimple
from k... | 32.647059 | 93 | 0.644144 |
3b26b3c9eed01d7a7107dd173072da3799bc96a8 | 417 | py | Python | catkin_ws/bbinstance/src/bbinstance/robotInstance2.py | fontysrobotics/Blackboard_based_distributed_fleet_manager | a6b44738fe67f4948a69f8d45da58d981c6724e0 | [
"BSD-3-Clause"
] | null | null | null | catkin_ws/bbinstance/src/bbinstance/robotInstance2.py | fontysrobotics/Blackboard_based_distributed_fleet_manager | a6b44738fe67f4948a69f8d45da58d981c6724e0 | [
"BSD-3-Clause"
] | null | null | null | catkin_ws/bbinstance/src/bbinstance/robotInstance2.py | fontysrobotics/Blackboard_based_distributed_fleet_manager | a6b44738fe67f4948a69f8d45da58d981c6724e0 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#need to point to classes inorder to import
import rospy
from blackboard.Robot import Robot
from blackboard.RosCommunication import Talker
from rosnode import rosnode_ping
from blackboard.Blackboard import Blackboard
from blackboard.Battery import Battery
bat = Battery(100,500,100)
talker = Talk... | 24.529412 | 68 | 0.786571 |
3b272c4081ff788cf0e7635f139e4a72c7417fd5 | 3,935 | py | Python | club_crm/api/backend/restaurant.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/api/backend/restaurant.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | club_crm/api/backend/restaurant.py | VivekChamp/clubcrm | 82036360d867d3dc5406bc71445a98841b5bffbf | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import frappe
from datetime import datetime, date
from club_crm.club_crm.utils.sms_notification import send_sms
from club_crm.club_crm.utils.push_notification import send_push
from frappe.utils import getdate, get_time, flt
from frappe.utils import escape_html
from frappe import ... | 34.823009 | 148 | 0.581194 |
3b28f0284102a05a1095c18ed52c32ed434b06cb | 5,448 | py | Python | keras_vgg_16.py | henniekim/python_keras_vgg_16 | 46f86f8737244cf10155b08eaebe0d5232199215 | [
"MIT"
] | null | null | null | keras_vgg_16.py | henniekim/python_keras_vgg_16 | 46f86f8737244cf10155b08eaebe0d5232199215 | [
"MIT"
] | null | null | null | keras_vgg_16.py | henniekim/python_keras_vgg_16 | 46f86f8737244cf10155b08eaebe0d5232199215 | [
"MIT"
] | null | null | null | from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.layers.pooling import MaxPooling2D
from keras.layers.convolutional import Conv2D
from keras.initializers import he_normal
from keras.initializers import Zeros
from keras.activations import relu
from keras.layers import Flatten
fro... | 34.481013 | 112 | 0.606094 |
3b2dfadc0723866c776dd2e832a0bd0837f7b239 | 246 | py | Python | run/depla/experiment/__init__.py | KinakomochiBotan/depla | e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca | [
"MIT"
] | null | null | null | run/depla/experiment/__init__.py | KinakomochiBotan/depla | e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca | [
"MIT"
] | null | null | null | run/depla/experiment/__init__.py | KinakomochiBotan/depla | e2c530f7fe5fc8fe185f0f789738fa7fc52bdeca | [
"MIT"
] | null | null | null | from .experiment import Experiment
from .experiment1 import Experiment1
from .experiment2 import Experiment21, Experiment22, Experiment23
from .experiment3 import Experiment31, Experiment32, Experiment33, Experiment34, Experiment35, Experiment36
| 49.2 | 107 | 0.861789 |
3b2fc312f99460590373adcc92790f19e8fa24fd | 2,149 | py | Python | posts/migrations/0001_initial.py | yashgo0018/django_blog | c742e632c8657582952fe27589fd8a704c9ebfbf | [
"MIT"
] | null | null | null | posts/migrations/0001_initial.py | yashgo0018/django_blog | c742e632c8657582952fe27589fd8a704c9ebfbf | [
"MIT"
] | null | null | null | posts/migrations/0001_initial.py | yashgo0018/django_blog | c742e632c8657582952fe27589fd8a704c9ebfbf | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-24 05:27
import ckeditor_uploader.fields
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 38.375 | 120 | 0.579805 |
3b3016e674b62043a2e132fe78e7e8b49b36eeef | 1,231 | py | Python | tests/test_user.py | kangangi/blogIP | 70494f73e5e89fb3d844c728b8feaeba56397718 | [
"MIT"
] | null | null | null | tests/test_user.py | kangangi/blogIP | 70494f73e5e89fb3d844c728b8feaeba56397718 | [
"MIT"
] | null | null | null | tests/test_user.py | kangangi/blogIP | 70494f73e5e89fb3d844c728b8feaeba56397718 | [
"MIT"
] | null | null | null | import unittest
from app import db
from app.models import User | 34.194444 | 155 | 0.676686 |
3b3377ab3bbbbe4087d48dd851a3fad3ecbb9f4d | 7,284 | py | Python | tests/unit/orders/manual/test_manual_sell_orders.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | tests/unit/orders/manual/test_manual_sell_orders.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | tests/unit/orders/manual/test_manual_sell_orders.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | import http
from pathlib import Path
from urllib.parse import urlencode
from hargreaves.search.models import InvestmentCategoryTypes
from hargreaves.session.mocks import MockSessionClient
from hargreaves.orders.manual.clients import ManualOrderClient
from hargreaves.orders.manual.models import ManualOrder, ManualOrder... | 35.705882 | 109 | 0.62905 |
3b3429811d85f7005761b8ac7ab0e4ba8f27c361 | 10,675 | py | Python | disco/cli/config_time_series.py | NREL/disco | 19afa1c397c6c24e37222f6cbf027eb88833beda | [
"BSD-3-Clause"
] | 2 | 2022-03-11T20:04:34.000Z | 2022-03-14T22:25:29.000Z | disco/cli/config_time_series.py | NREL/disco | 19afa1c397c6c24e37222f6cbf027eb88833beda | [
"BSD-3-Clause"
] | 4 | 2022-03-11T17:48:50.000Z | 2022-03-17T21:39:47.000Z | disco/cli/config_time_series.py | NREL/disco | 19afa1c397c6c24e37222f6cbf027eb88833beda | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""Creates JADE configuration for stage 1 of pydss_simulation pipeline."""
import logging
import sys
import click
from jade.common import CONFIG_FILE
from jade.loggers import setup_logging
from jade.utils.utils import load_data
from PyDSS.reports.pv_reports import PF1_SCENARIO, CONTROL_MODE_SC... | 34.214744 | 102 | 0.662857 |
3b342af0c0a09204758f2297725b146938b7b68d | 1,236 | py | Python | example/client/sampleclient.py | Pizaid/pizaid-controller | b4945d06efe3f12b90f9c917a53a95753ef3c477 | [
"MIT"
] | null | null | null | example/client/sampleclient.py | Pizaid/pizaid-controller | b4945d06efe3f12b90f9c917a53a95753ef3c477 | [
"MIT"
] | 1 | 2020-04-16T08:12:00.000Z | 2020-04-16T08:12:00.000Z | example/client/sampleclient.py | Pizaid/pizaid-controller | b4945d06efe3f12b90f9c917a53a95753ef3c477 | [
"MIT"
] | 1 | 2020-04-14T09:48:07.000Z | 2020-04-14T09:48:07.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: set fileencoding=utf-8 :
#
# Author: Makoto Shimazu <makoto.shimaz@gmail.com>
# URL: https://github.com/Pizaid
# License: 2-Clause BSD License
# Created: 2014-08-09
#
import sys
sys.path.append('gen-py')
from Pizaid import ControllerService
from Pizaid.tty... | 29.428571 | 57 | 0.733819 |
3b34ddac11a67c7eb3731fd10bcd57b32d475cfe | 660 | py | Python | moralizer/moralizer.py | npmontgomery/moralizer | 3a1d452c273b8a999ec1ce233e74831e1a89c13d | [
"MIT"
] | 3 | 2019-07-25T01:56:20.000Z | 2020-10-02T22:30:36.000Z | moralizer/moralizer.py | npmontgomery/moralizer | 3a1d452c273b8a999ec1ce233e74831e1a89c13d | [
"MIT"
] | null | null | null | moralizer/moralizer.py | npmontgomery/moralizer | 3a1d452c273b8a999ec1ce233e74831e1a89c13d | [
"MIT"
] | 1 | 2020-04-17T22:10:24.000Z | 2020-04-17T22:10:24.000Z | from auxilliary_functions import *
def read_file(filename):
"""
Reads in a file as utf-8.
:param filename: Filepath to the file to be read.
"""
with open(filename, 'r',encoding='utf-8') as file:
return file.read()
def moralize(input_text, output_format='pydict'):
"""
Takes input t... | 27.5 | 101 | 0.7 |
3b35fe45e80f54b97695c26773ce24d2dd23c8ca | 519 | py | Python | convert_shu_json.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | 3 | 2015-09-07T00:16:16.000Z | 2019-01-11T20:27:56.000Z | convert_shu_json.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | null | null | null | convert_shu_json.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | null | null | null | import os
import json
from pprint import pprint
if __name__ == '__main__':
convert('/Users/cassiomelo/Downloads/formalcontext.json', '/Users/cassiomelo/Downloads/formalcontext.cxt') | 22.565217 | 110 | 0.622351 |
3b36647274e28645db368fe1412571e540dc57c9 | 1,919 | py | Python | vcfp_attack/trainByBayes.py | kenneds6/VCFingerprinting | 2de88766e2b2beeed44a4267c370fe755b5db90d | [
"MIT"
] | null | null | null | vcfp_attack/trainByBayes.py | kenneds6/VCFingerprinting | 2de88766e2b2beeed44a4267c370fe755b5db90d | [
"MIT"
] | null | null | null | vcfp_attack/trainByBayes.py | kenneds6/VCFingerprinting | 2de88766e2b2beeed44a4267c370fe755b5db90d | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import sys
import sklearn
from sklearn.naive_bayes import GaussianNB
from sklearn.externals import joblib
import argparse
import numpy as np
import fileUtils
import tools
if __name__ == "__main__":
opts = parseOpts(sys.argv)
main(opts)
| 24.922078 | 81 | 0.682126 |