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5a1d316ed31d577c7df6547d9741c2b872bd048d | 1,650 | py | Python | pyseries/Pipelines/AnalyzeRest.py | ryscet/pySeries | 3ab1e0a9dbdeaef34c6c6d1fed5b248203c84fea | [
"MIT"
] | 1 | 2019-01-23T08:59:51.000Z | 2019-01-23T08:59:51.000Z | pyseries/Pipelines/AnalyzeRest.py | ryscet/pySeries | 3ab1e0a9dbdeaef34c6c6d1fed5b248203c84fea | [
"MIT"
] | null | null | null | pyseries/Pipelines/AnalyzeRest.py | ryscet/pySeries | 3ab1e0a9dbdeaef34c6c6d1fed5b248203c84fea | [
"MIT"
] | 3 | 2016-11-04T14:15:58.000Z | 2016-11-10T22:31:10.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 7 12:32:36 2016
@author: user
"""
import sys
sys.path.insert(0, '/Users/user/Desktop/repo_for_pyseries/pyseries/')
| 40.243902 | 180 | 0.649697 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 7 12:32:36 2016
@author: user
"""
import sys
sys.path.insert(0, '/Users/user/Desktop/repo_for_pyseries/pyseries/')
import pyseries.LoadingData as loading
import pyseries.Preprocessing as prep
import pyseries.Analysis as analysis
def plot_rest():
# paths = [ '/Use... | 0 | 0 | 0 | 0 | 0 | 1,347 | 0 | 48 | 90 |
e011322d4d992983b9251bbe8c19fce1714b74c3 | 692 | py | Python | dags/run_testprofile.py | consag/docker-airflow | eab7ed7ca1162e284023c19a16d1832a958b8f06 | [
"Apache-2.0"
] | 3 | 2019-11-10T19:08:26.000Z | 2021-05-15T17:56:19.000Z | dags/run_testprofile.py | consag/docker-airflow | eab7ed7ca1162e284023c19a16d1832a958b8f06 | [
"Apache-2.0"
] | 3 | 2020-10-28T13:14:43.000Z | 2022-03-01T23:11:48.000Z | dags/run_testprofile.py | consag/docker-airflow | eab7ed7ca1162e284023c19a16d1832a958b8f06 | [
"Apache-2.0"
] | null | null | null | """
Definition to run a test profile
"""
from datetime import datetime, timedelta
from airflow import DAG
from InformaticaPlugin import ExecuteProfile
schedule_interval = None
default_args = {
'owner': 'Jac. Beekers',
'depends_on_past': False,
'email': ['noone@nowhere.no'],
'email_on_failure': False... | 20.969697 | 58 | 0.703757 | """
Definition to run a test profile
"""
from datetime import datetime, timedelta
from airflow import DAG
from InformaticaPlugin import ExecuteProfile
schedule_interval = None
default_args = {
'owner': 'Jac. Beekers',
'depends_on_past': False,
'email': ['noone@nowhere.no'],
'email_on_failure': False... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2cdfd1fd6d51fdc5aac9bdc94e54b3c4f4ee9b9c | 1,400 | py | Python | run_attacker.py | hotpxl/low-rate-tcp-dos | 25cf181080e4ff759edef438982b5e3d811797e7 | [
"MIT"
] | 3 | 2018-06-11T05:34:05.000Z | 2020-11-06T05:23:34.000Z | run_attacker.py | hotpxl/low-rate-tcp-dos | 25cf181080e4ff759edef438982b5e3d811797e7 | [
"MIT"
] | 1 | 2021-11-09T12:25:13.000Z | 2021-11-09T12:25:13.000Z | run_attacker.py | hotpxl/low-rate-tcp-dos | 25cf181080e4ff759edef438982b5e3d811797e7 | [
"MIT"
] | 4 | 2019-08-24T12:55:53.000Z | 2022-03-07T12:03:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
if __name__ == '__main__':
main()
| 27.45098 | 78 | 0.637857 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import socket
import time
import argparse
def send_burst(sock, target, burst):
start = time.time()
payload = '0' * 128
while time.time() - s... | 0 | 0 | 0 | 0 | 0 | 1,105 | 0 | -36 | 134 |
79a351fc6df21077d7cfd1a4c97ce3e907c26e43 | 594 | py | Python | waterspout_api/migrations/0030_auto_20210429_1758.py | Water-Systems-Management-UCM/Waterspout | 78965f1e53b09f442e278dff72c290ceac22ed60 | [
"MIT"
] | 1 | 2020-09-10T20:43:24.000Z | 2020-09-10T20:43:24.000Z | waterspout_api/migrations/0030_auto_20210429_1758.py | Water-Systems-Management-UCM/Waterspout | 78965f1e53b09f442e278dff72c290ceac22ed60 | [
"MIT"
] | 72 | 2020-05-28T17:20:12.000Z | 2022-03-28T14:11:40.000Z | waterspout_api/migrations/0030_auto_20210429_1758.py | Water-Systems-Management-UCM/Waterspout | 78965f1e53b09f442e278dff72c290ceac22ed60 | [
"MIT"
] | null | null | null | # Generated by Django 3.2 on 2021-04-30 00:58
| 28.285714 | 178 | 0.666667 | # Generated by Django 3.2 on 2021-04-30 00:58
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('waterspout_api', '0029_auto_20210428_1715'),
]
operations = [
migrations.AddField(
model_name='mo... | 0 | 0 | 0 | 449 | 0 | 0 | 0 | 30 | 68 |
5b3c122cbbdd9e1576c139b4ef78c5ac7723b41a | 374 | py | Python | bigO.py | prabhugs/scripts | 113965717f96229d4c7f37bb324623ed80d45b02 | [
"Apache-2.0",
"MIT"
] | null | null | null | bigO.py | prabhugs/scripts | 113965717f96229d4c7f37bb324623ed80d45b02 | [
"Apache-2.0",
"MIT"
] | null | null | null | bigO.py | prabhugs/scripts | 113965717f96229d4c7f37bb324623ed80d45b02 | [
"Apache-2.0",
"MIT"
] | null | null | null | import timeit
import random
for i in range (10000, 100000, 20000):
t = timeit.Timer("random.randrange(%d) in x"%i, "from __main__ import random, x")
x = list(range(i))
list_time = t.timeit(number = 1000)
x = {j:None for j in range(i)}
dict_time = t.timeit(number = 1000)
print "Counter: " + str(i) + " L... | 26.714286 | 88 | 0.63369 | import timeit
import random
for i in range (10000, 100000, 20000):
t = timeit.Timer("random.randrange(%d) in x"%i, "from __main__ import random, x")
x = list(range(i))
list_time = t.timeit(number = 1000)
x = {j:None for j in range(i)}
dict_time = t.timeit(number = 1000)
print "Counter: " + str(i) + " L... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
32d8bf0c0b9f39c301a1d44fd2f3eec542b96e62 | 3,436 | py | Python | rl_coach/filters/action/attention_discretization.py | abcp4/coach | e0f1b9ecc884ffea71ba634986d478f4fc150d3e | [
"Apache-2.0"
] | 3 | 2019-11-15T02:05:38.000Z | 2020-10-10T17:15:40.000Z | rl_coach/filters/action/attention_discretization.py | gndctrl2mjrtm/coach-ray | ae6593bb33cf0ae3c5a4b3b351560dd6b47cd031 | [
"Apache-2.0"
] | null | null | null | rl_coach/filters/action/attention_discretization.py | gndctrl2mjrtm/coach-ray | ae6593bb33cf0ae3c5a4b3b351560dd6b47cd031 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 51.283582 | 129 | 0.700233 | #
# Copyright (c) 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 | 0 | 0 | 2,510 | 0 | 0 | 0 | 199 | 136 |
737094926aa531bdfd447a007d16b0aabbd3551b | 493 | py | Python | data/contacts.py | pvserge/python_traning | 069148647f00b634e0817dc3a92c32f677cc5b1e | [
"Apache-2.0"
] | null | null | null | data/contacts.py | pvserge/python_traning | 069148647f00b634e0817dc3a92c32f677cc5b1e | [
"Apache-2.0"
] | null | null | null | data/contacts.py | pvserge/python_traning | 069148647f00b634e0817dc3a92c32f677cc5b1e | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
testdata = [
Contact(firstname="", lastname="", address="", homephone="", mobilephone="", workphone="",
secondaryphone="", email1="", email2="", email3=""),
Contact(firstname="Ivan", lastname="Ivanov", address="SomeWhere St., 4", homephone="+111111111",
... | 49.3 | 100 | 0.64503 | from model.contact import Contact
testdata = [
Contact(firstname="", lastname="", address="", homephone="", mobilephone="", workphone="",
secondaryphone="", email1="", email2="", email3=""),
Contact(firstname="Ivan", lastname="Ivanov", address="SomeWhere St., 4", homephone="+111111111",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c1ebc2221f962d846a59a8be181a9f42b3226060 | 9,665 | py | Python | dvha/tools/roi_formatter.py | cutright/DVH-Analytics | a168cf67709b7a60d0d311a294801954421c1ad1 | [
"Apache-2.0"
] | 98 | 2017-09-04T14:15:57.000Z | 2022-03-08T03:58:18.000Z | dvha/tools/roi_formatter.py | cutright/DVH-Analytics | a168cf67709b7a60d0d311a294801954421c1ad1 | [
"Apache-2.0"
] | 177 | 2017-06-01T14:25:15.000Z | 2022-01-10T03:23:15.000Z | dvha/tools/roi_formatter.py | cutright/DVH-Analytics | a168cf67709b7a60d0d311a294801954421c1ad1 | [
"Apache-2.0"
] | 31 | 2017-10-16T00:17:00.000Z | 2022-01-19T20:09:58.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# tools.roi_formatter.py
"""Formatting tools for roi data (dicompyler, Shapely, DVHA)"""
# Copyright (c) 2016-2019 Dan Cutright
# This file is part of DVH Analytics, released under a BSD license.
# See the file LICENSE included with this distribution, also
# availabl... | 28.343109 | 101 | 0.602069 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# tools.roi_formatter.py
"""Formatting tools for roi data (dicompyler, Shapely, DVHA)"""
# Copyright (c) 2016-2019 Dan Cutright
# This file is part of DVH Analytics, released under a BSD license.
# See the file LICENSE included with this distribution, also
# availabl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6bf2dc40a857d2d0d763bf8451db8cd4609c8d9 | 1,912 | py | Python | scripts/summary/update_dailyrain.py | jamayfieldjr/iem | 275b77a65f3b12e26e6cbdb230786b9c7d2b9c9a | [
"MIT"
] | 1 | 2019-10-07T17:01:24.000Z | 2019-10-07T17:01:24.000Z | scripts/summary/update_dailyrain.py | jamayfieldjr/iem | 275b77a65f3b12e26e6cbdb230786b9c7d2b9c9a | [
"MIT"
] | null | null | null | scripts/summary/update_dailyrain.py | jamayfieldjr/iem | 275b77a65f3b12e26e6cbdb230786b9c7d2b9c9a | [
"MIT"
] | null | null | null | """Update the pday column
Some care has to be made here such that trace values do not accumulate when
there are actual measurable precip. Eventually, the DSM or other summary
messages come and overwrite the trouble. Run from RUN_10MIN.sh
"""
from __future__ import print_function
import datetime
from pyiem.util impor... | 31.344262 | 75 | 0.581067 | """Update the pday column
Some care has to be made here such that trace values do not accumulate when
there are actual measurable precip. Eventually, the DSM or other summary
messages come and overwrite the trouble. Run from RUN_10MIN.sh
"""
from __future__ import print_function
import datetime
from pyiem.util impor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cd35946b4f8f14bc78705923026cf0721aea5c3e | 2,167 | py | Python | raspisump/storage.py | bdevy/raspi-sump | 78d0101808e54ea091a43f9142cdc7d8c31804b0 | [
"MIT"
] | null | null | null | raspisump/storage.py | bdevy/raspi-sump | 78d0101808e54ea091a43f9142cdc7d8c31804b0 | [
"MIT"
] | null | null | null | raspisump/storage.py | bdevy/raspi-sump | 78d0101808e54ea091a43f9142cdc7d8c31804b0 | [
"MIT"
] | null | null | null | """ Module to send metrics to storage systems. """
# Raspi-sump, a sump pump monitoring system.
# Al Audet
# http://www.linuxnorth.org/raspi-sump/
#
# All configuration changes should be done in raspisump.conf
# MIT License -- http://www.linuxnorth.org/raspi-sump/license.html
import configparser
from raspisump import... | 31.867647 | 208 | 0.666359 | """ Module to send metrics to storage systems. """
# Raspi-sump, a sump pump monitoring system.
# Al Audet
# http://www.linuxnorth.org/raspi-sump/
#
# All configuration changes should be done in raspisump.conf
# MIT License -- http://www.linuxnorth.org/raspi-sump/license.html
import configparser
from raspisump import... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 44 |
e38b043b0fb7653614770e3534ff8ef561469017 | 492 | py | Python | userbot/plugins/idk.py | Declan57/SPARKZZZ | 4fb9ae8581b96a7040700ff1dc7244cd19f08e40 | [
"MIT"
] | 1 | 2020-10-04T10:08:43.000Z | 2020-10-04T10:08:43.000Z | userbot/plugins/idk.py | ranijithhub/SPARKZZZ | 4fcbd15d7466b71261f8b437b0654d9e5cde1b55 | [
"MIT"
] | null | null | null | userbot/plugins/idk.py | ranijithhub/SPARKZZZ | 4fcbd15d7466b71261f8b437b0654d9e5cde1b55 | [
"MIT"
] | null | null | null | # @ copyright SPARKZZZ
"""
idk
"""
| 16.4 | 73 | 0.609756 | # @ copyright SPARKZZZ
"""
idk
"""
from telethon.tl.functions.channels import LeaveChannelRequest
from userbot.utils import admin_cmd
import time
@sparkzzz.on(admin_cmd(pattern="idk", outgoing=True))
async def leave(e):
if not e.text[0].isalpha() and e.text[0] not in ("/", "#", "@", "!"):
await e.... | 12 | 304 | 0 | 0 | 0 | 0 | 0 | 45 | 90 |
e67c4a0edde062391c71173ff626aed5257e140d | 22,830 | py | Python | bmm/src/inference/resampling.py | safarzadeh-reza/bmm | 7fbb0964c493c08243f0e1a627787d8d115259e6 | [
"MIT"
] | 1 | 2022-02-04T22:17:43.000Z | 2022-02-04T22:17:43.000Z | bmm/src/inference/resampling.py | safarzadeh-reza/bmm | 7fbb0964c493c08243f0e1a627787d8d115259e6 | [
"MIT"
] | null | null | null | bmm/src/inference/resampling.py | safarzadeh-reza/bmm | 7fbb0964c493c08243f0e1a627787d8d115259e6 | [
"MIT"
] | null | null | null | ########################################################################################################################
# Module: inference/resampling.py
# Description: Resampling schemes for converting weighted particles (series of positions/edges/distances) to
# unweighted. Notably multinomial resamplin... | 47.169421 | 120 | 0.589882 | ########################################################################################################################
# Module: inference/resampling.py
# Description: Resampling schemes for converting weighted particles (series of positions/edges/distances) to
# unweighted. Notably multinomial resamplin... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eb1c8ab63d326f1a026329b6b62ed6cbcf180f73 | 9,503 | py | Python | environment/entities/robots.py | RubenPants/RobotSimulator2D | 334d7b9cab0edb22d4670cfaf39fbed76c351758 | [
"MIT"
] | null | null | null | environment/entities/robots.py | RubenPants/RobotSimulator2D | 334d7b9cab0edb22d4670cfaf39fbed76c351758 | [
"MIT"
] | null | null | null | environment/entities/robots.py | RubenPants/RobotSimulator2D | 334d7b9cab0edb22d4670cfaf39fbed76c351758 | [
"MIT"
] | null | null | null | """
robots.py
Robots used to manoeuvre around in the Game-environment.
"""
from configs.bot_config import BotConfig
from environment.entities.sensors import AngularSensor, DeltaDistanceSensor, DistanceSensor, ProximitySensor
def get_active_sensors(connections: set, total_input_size: int):
"""Get a set of all t... | 42.424107 | 120 | 0.623172 | """
robots.py
Robots used to manoeuvre around in the Game-environment.
"""
from numpy import pi, sqrt
from configs.bot_config import BotConfig
from environment.entities.sensors import AngularSensor, DeltaDistanceSensor, DistanceSensor, ProximitySensor
from utils.vec2d import angle_to_vec, Vec2d
class MarXBot:
"... | 4 | 0 | 0 | 7,708 | 0 | 0 | 0 | 27 | 67 |
cad17cb72f8b94ede051dfc328eb14b0a91ca087 | 8,847 | py | Python | vectorizer.py | my-master/HashingTfidfVectorizer | 023626bfbebdc3d0118e98ae7c68bc1d252b5153 | [
"Apache-2.0"
] | null | null | null | vectorizer.py | my-master/HashingTfidfVectorizer | 023626bfbebdc3d0118e98ae7c68bc1d252b5153 | [
"Apache-2.0"
] | null | null | null | vectorizer.py | my-master/HashingTfidfVectorizer | 023626bfbebdc3d0118e98ae7c68bc1d252b5153 | [
"Apache-2.0"
] | 1 | 2020-07-14T02:05:46.000Z | 2020-07-14T02:05:46.000Z |
TOKENIZER = None
# PATH='/media/olga/Data/projects/iPavlov/DeepPavlov/download/odqa/ruwiki_tfidf_matrix.npz'
# vectorizer = HashingTfIdfVectorizer(None)
# vectorizer.load(PATH)
# vectorizer.save('/media/olga/Data/projects/iPavlov/DeepPavlov/download/odqa/ruwiki_tfidf_matrix_new.npz')
| 35.963415 | 107 | 0.603707 | from collections import Counter
from concurrent.futures import ProcessPoolExecutor
import concurrent
from typing import List, Any, Generator, Tuple, KeysView, ValuesView, Dict
import scipy as sp
from scipy import sparse
import numpy as np
from tokenizers.spacy_tokenizer import SpacyTokenizer
from logger import logger... | 0 | 1,904 | 0 | 6,287 | 0 | 0 | 0 | 122 | 245 |
5be11d200ef0da8a6834ed6c935dc23c40a76f33 | 1,003 | py | Python | scripts/dateToTimestampe.py | Nicky5/Qnverter | 2d0a13ea306b11df24c465a5b572b6b367e0f9a6 | [
"MIT"
] | 1 | 2021-10-01T07:57:57.000Z | 2021-10-01T07:57:57.000Z | scripts/dateToTimestampe.py | Nicky5/Qnverter | 2d0a13ea306b11df24c465a5b572b6b367e0f9a6 | [
"MIT"
] | null | null | null | scripts/dateToTimestampe.py | Nicky5/Qnverter | 2d0a13ea306b11df24c465a5b572b6b367e0f9a6 | [
"MIT"
] | null | null | null | # data must be stored in JSON format
# data:
{
"name": "date to timestampe",
"author": "nicky",
"icon": "numbers.png",
"tags": "UNIX date timestamp",
"description": "converts a date to a UNIX timestamp",
"icon_link": "https://cdn-icons-png.flaticon.com/512/3402/3402135.png"
}
# data:
# any import s... | 28.657143 | 89 | 0.647059 | # data must be stored in JSON format
# data:
{
"name": "date to timestampe",
"author": "nicky",
"icon": "numbers.png",
"tags": "UNIX date timestamp",
"description": "converts a date to a UNIX timestamp",
"icon_link": "https://cdn-icons-png.flaticon.com/512/3402/3402135.png"
}
# data:
# any import s... | 0 | 0 | 0 | 0 | 0 | 547 | 0 | 0 | 44 |
323a2607223bde5ef5dca297bd7f2c43b9dbeacd | 1,260 | py | Python | pdfParanoia.py | megamillions/PDF-Paranoia | e484a8710b67eb92c8611adf56ba299beda46779 | [
"MIT"
] | null | null | null | pdfParanoia.py | megamillions/PDF-Paranoia | e484a8710b67eb92c8611adf56ba299beda46779 | [
"MIT"
] | null | null | null | pdfParanoia.py | megamillions/PDF-Paranoia | e484a8710b67eb92c8611adf56ba299beda46779 | [
"MIT"
] | null | null | null | #! python3
# pdfParanoia.py - Add password in command line
# to every PDF in folder and subfolders.
import PyPDF2, os, sys
password = sys.argv[1]
for foldername, subfolders, filenames in os.walk(os.getcwd()):
# Find each PDF after walking through given directory.
for filename in filenames:
if (filename.endswith... | 25.714286 | 62 | 0.704762 | #! python3
# pdfParanoia.py - Add password in command line
# to every PDF in folder and subfolders.
import PyPDF2, os, sys
password = sys.argv[1]
for foldername, subfolders, filenames in os.walk(os.getcwd()):
# Find each PDF after walking through given directory.
for filename in filenames:
if (filename.endswith... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b30a0bc15747dc6cf9f83e1e4d0e309d3e35ceca | 1,339 | py | Python | src/utils.py | srisadhan/speech_emotions | 59888ce1bab173f9b3438d76e89a5240a547327e | [
"MIT"
] | 3 | 2020-05-08T02:51:35.000Z | 2021-08-19T16:28:04.000Z | src/utils.py | srisadhan/speech_emotions | 59888ce1bab173f9b3438d76e89a5240a547327e | [
"MIT"
] | 2 | 2021-03-19T12:01:43.000Z | 2022-01-13T02:30:07.000Z | src/utils.py | srisadhan/speech_emotions | 59888ce1bab173f9b3438d76e89a5240a547327e | [
"MIT"
] | 1 | 2022-02-05T00:30:50.000Z | 2022-02-05T00:30:50.000Z | import numpy as np
_my_colors = np.array([
[0, 127, 70],
[255, 0, 0],
[255, 217, 38],
[0, 135, 255],
[165, 0, 165],
[255, 167, 255],
[97, 142, 151],
[0, 255, 255],
[255, 96, 38],
[142, 76, 0],
[33, 0, 127],
[0, 0, 0],
[183, 183, 183],
[76, 255, 0]... | 18.094595 | 57 | 0.475728 | from contextlib import contextmanager
import numpy as np
_my_colors = np.array([
[0, 127, 70],
[255, 0, 0],
[255, 217, 38],
[0, 135, 255],
[165, 0, 165],
[255, 167, 255],
[97, 142, 151],
[0, 255, 255],
[255, 96, 38],
[142, 76, 0],
[33, 0, 127],
[0, 0, 0],
... | 0 | 516 | 0 | 353 | 0 | 0 | 0 | 16 | 98 |
9a9af4eb3e66d1c20306186cc8851519603fb6e3 | 73 | py | Python | Exercise70.py | JBCFurtado/Rabiscos_Em_Python | a1a5be9391e1bbbb301b8a7776043f7ea77e24da | [
"MIT"
] | null | null | null | Exercise70.py | JBCFurtado/Rabiscos_Em_Python | a1a5be9391e1bbbb301b8a7776043f7ea77e24da | [
"MIT"
] | null | null | null | Exercise70.py | JBCFurtado/Rabiscos_Em_Python | a1a5be9391e1bbbb301b8a7776043f7ea77e24da | [
"MIT"
] | null | null | null | #Funo par
print(par(4))
print(par(23))
| 12.166667 | 19 | 0.60274 | #Função par
def par(x):
return (x%2==0)
print(par(4))
print(par(23))
| 4 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 22 |
3b2866775530630c0d313eee7d895e64864b1fe2 | 8,779 | py | Python | tests/test_axl.py | levensailor/ciscoaxl | f3a78ef39fba011c8bb0fdc6184a53d879e2d049 | [
"MIT"
] | 16 | 2019-04-18T17:16:48.000Z | 2020-05-27T13:39:41.000Z | tests/test_axl.py | levensailor/ciscoaxl | f3a78ef39fba011c8bb0fdc6184a53d879e2d049 | [
"MIT"
] | 2 | 2020-03-16T14:26:46.000Z | 2020-05-28T09:23:11.000Z | tests/test_axl.py | levensailor/ciscoaxl | f3a78ef39fba011c8bb0fdc6184a53d879e2d049 | [
"MIT"
] | 10 | 2019-09-29T16:21:11.000Z | 2020-05-22T20:07:33.000Z | from ciscoaxl import axl
from decouple import config
cucm = config("CUCM_PUBLISHER")
username = config("CUCM_AXL_USERNAME")
password = config("CUCM_AXL_PASSWORD")
version = config("CUCM_VERSION")
ucm = axl(username=username, password=password, cucm=cucm, cucm_version=version)
# TODO: add below methods for testing
... | 29.759322 | 110 | 0.571363 | from ciscoaxl import axl
from decouple import config
cucm = config("CUCM_PUBLISHER")
username = config("CUCM_AXL_USERNAME")
password = config("CUCM_AXL_PASSWORD")
version = config("CUCM_VERSION")
ucm = axl(username=username, password=password, cucm=cucm, cucm_version=version)
class TestPhoneMethods:
def test_ad... | 0 | 0 | 0 | 2,301 | 0 | 0 | 0 | 0 | 23 |
976f0328ddc8dfa31cda29b390b282d8d72a585c | 8,834 | py | Python | plugins/modules/launchdarkly_environment.py | jhutchings1/ansible-launchdarkly-collection | 2c21f589b0a889ddf4e0ad0a04f6b8c586585abd | [
"Apache-2.0"
] | null | null | null | plugins/modules/launchdarkly_environment.py | jhutchings1/ansible-launchdarkly-collection | 2c21f589b0a889ddf4e0ad0a04f6b8c586585abd | [
"Apache-2.0"
] | null | null | null | plugins/modules/launchdarkly_environment.py | jhutchings1/ansible-launchdarkly-collection | 2c21f589b0a889ddf4e0ad0a04f6b8c586585abd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "0.1.0",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = r"""
---
module: launchdarkly_environment
short_description: Create Launchdarkly... | 31.105634 | 147 | 0.644782 | #!/usr/bin/python
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "0.1.0",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = r"""
---
module: launchdarkly_environment
short_description: Create Launchdarkly... | 0 | 0 | 0 | 0 | 0 | 5,243 | 0 | 469 | 323 |
2c4ed8cd0460549ef49945e7afcd26e1a45cfa91 | 6,095 | py | Python | lib/servers/script_scanner/experiment.py | clayton-ho/EGGs_Control | 312f02488b47cf880c6e6600ce10856a871123df | [
"MIT"
] | 2 | 2021-12-26T05:00:54.000Z | 2021-12-30T17:15:49.000Z | lib/servers/script_scanner/experiment.py | clayton-ho/EGGs_Control | 312f02488b47cf880c6e6600ce10856a871123df | [
"MIT"
] | null | null | null | lib/servers/script_scanner/experiment.py | clayton-ho/EGGs_Control | 312f02488b47cf880c6e6600ce10856a871123df | [
"MIT"
] | null | null | null | """
Superclass of experiments and related classes.
"""
| 32.248677 | 90 | 0.604922 | """
Superclass of experiments and related classes.
"""
import labrad
import traceback
from treedict import TreeDict
class experiment_info(object):
'''
Holds informaton about the experiment
Attributes
----------
name: str
parameters: TreeDict
required_parameters: list
'''
required_p... | 0 | 47 | 0 | 5,881 | 0 | 0 | 0 | -5 | 112 |
b21ccfa304e3d6a31f7dea0f62473f3a1cbd308a | 176 | py | Python | protonfixes/gamefixes/221040.py | Citiroller/protonfixes | 6e0116bd1cd2172b6f0ff9905667bbc59595cdb7 | [
"BSD-2-Clause"
] | 213 | 2018-10-06T01:40:26.000Z | 2022-03-16T16:17:37.000Z | protonfixes/gamefixes/221040.py | Citiroller/protonfixes | 6e0116bd1cd2172b6f0ff9905667bbc59595cdb7 | [
"BSD-2-Clause"
] | 88 | 2018-10-06T17:38:56.000Z | 2022-02-19T13:27:26.000Z | protonfixes/gamefixes/221040.py | Citiroller/protonfixes | 6e0116bd1cd2172b6f0ff9905667bbc59595cdb7 | [
"BSD-2-Clause"
] | 67 | 2018-10-09T16:57:16.000Z | 2022-03-14T13:06:25.000Z | """ Game fix for Resident Evil 6 / Biohazard 6
"""
#pylint: disable=C0103
from protonfixes import util
def main():
""" Uses wmp11
"""
util.protontricks('wmp11')
| 14.666667 | 46 | 0.642045 | """ Game fix for Resident Evil 6 / Biohazard 6
"""
#pylint: disable=C0103
from protonfixes import util
def main():
""" Uses wmp11
"""
util.protontricks('wmp11')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4925d10f0d7ad8f43fe3da4a07dbc3d1690dff55 | 8,438 | py | Python | FN/policy_gradient_continuous_agent.py | inamasa12/baby-steps-of-rl-ja | b596d9192f66b569ea7148d67537526eb2719581 | [
"Apache-2.0"
] | null | null | null | FN/policy_gradient_continuous_agent.py | inamasa12/baby-steps-of-rl-ja | b596d9192f66b569ea7148d67537526eb2719581 | [
"Apache-2.0"
] | 7 | 2019-12-16T22:06:34.000Z | 2022-02-10T00:20:07.000Z | FN/policy_gradient_continuous_agent.py | inamasa12/baby-steps-of-rl-ja | b596d9192f66b569ea7148d67537526eb2719581 | [
"Apache-2.0"
] | null | null | null | import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="PG Agent Pendulum-v0")
parser.add_argument("--play", action="store_true",
help="play with trained model")
args = parser.parse_args()
main(args.play)
| 37.336283 | 83 | 0.614956 | import os
import argparse
import random
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.externals import joblib
import tensorflow as tf
from tensorflow.python import keras as K
import gym
from fn_framework import FNAgent, Trainer, Observer
class PolicyGradientContinuousAgent(FNAgent):... | 0 | 366 | 0 | 6,928 | 0 | 486 | 0 | 59 | 313 |
4b500be8850a729d3d5a43f903492268f7cf40be | 2,878 | py | Python | Mar_9.py | keiraaaaa/Leetcode | 90bf174f5613c79119aec58a1f0d1d2c1c3496bb | [
"MIT"
] | null | null | null | Mar_9.py | keiraaaaa/Leetcode | 90bf174f5613c79119aec58a1f0d1d2c1c3496bb | [
"MIT"
] | null | null | null | Mar_9.py | keiraaaaa/Leetcode | 90bf174f5613c79119aec58a1f0d1d2c1c3496bb | [
"MIT"
] | null | null | null | ############################
# 226. Invert Binary Tree
############################
'''
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def invertTree(self, root):
"""
:type root:... | 21.477612 | 88 | 0.51911 | ############################
# 226. Invert Binary Tree
############################
'''
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def invertTree(self, root):
"""
:type root:... | 0 | 0 | 0 | 494 | 0 | 0 | 0 | 0 | 45 |
a74aba2b10db05b601e243b9d582ca00574868ab | 317 | py | Python | src/run_training.py | adsi7698/Optical-Character-Recognition | 636d059d27c536517dd40f183665ba6ecb1fc618 | [
"Unlicense"
] | null | null | null | src/run_training.py | adsi7698/Optical-Character-Recognition | 636d059d27c536517dd40f183665ba6ecb1fc618 | [
"Unlicense"
] | null | null | null | src/run_training.py | adsi7698/Optical-Character-Recognition | 636d059d27c536517dd40f183665ba6ecb1fc618 | [
"Unlicense"
] | null | null | null | import mnist_loader
import network
def run_train():
""" The network is trained by executing Network module """
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
net = network.Network([784, 30, 10])
net.SGD(training_data, 30, 10, 3.0, test_data=test_data)
network.save_object(net)
| 26.416667 | 77 | 0.757098 | import mnist_loader
import network
def run_train():
""" The network is trained by executing Network module """
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
net = network.Network([784, 30, 10])
net.SGD(training_data, 30, 10, 3.0, test_data=test_data)
network.save_object(net)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
628cb2ac0ce18b461212b99d623d4ef9a0b7ae3b | 2,190 | py | Python | benchmark/rclpy/publisher-stress-test.py | vincentrou/rclnodejs | afc4c355c3eeb8dc22bd796586fceef40b12c282 | [
"Apache-2.0"
] | null | null | null | benchmark/rclpy/publisher-stress-test.py | vincentrou/rclnodejs | afc4c355c3eeb8dc22bd796586fceef40b12c282 | [
"Apache-2.0"
] | null | null | null | benchmark/rclpy/publisher-stress-test.py | vincentrou/rclnodejs | afc4c355c3eeb8dc22bd796586fceef40b12c282 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017 Intel Corporation. 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
#
# Unle... | 28.815789 | 105 | 0.715525 | #!/usr/bin/env python3
# Copyright (c) 2017 Intel Corporation. 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
#
# Unle... | 0 | 0 | 0 | 0 | 0 | 1,375 | 0 | 14 | 134 |
63e88a62ce02074868f6424e1815bdf184db65ef | 4,416 | py | Python | Real-Time-Age-Calculation/main.py | swapnilgarg7/Face-X | fab21bf667fa7387b8e73e5a1d72fcba4fba2818 | [
"MIT"
] | 5 | 2022-03-24T14:05:30.000Z | 2022-03-28T17:26:49.000Z | Real-Time-Age-Calculation/main.py | swapnilgarg7/Face-X | fab21bf667fa7387b8e73e5a1d72fcba4fba2818 | [
"MIT"
] | null | null | null | Real-Time-Age-Calculation/main.py | swapnilgarg7/Face-X | fab21bf667fa7387b8e73e5a1d72fcba4fba2818 | [
"MIT"
] | null | null | null | import cv2
import argparse
def highlightFace(net, frame, conf_threshold=0.7):
'''
This function detects faces on the image using the 'net' passed (if any) and returns the detection output
as well as the cordinates of the faces detected
'''
frameOpencvDnn=frame.copy()
#--------saving the image... | 40.145455 | 155 | 0.64606 | import cv2
import math
import argparse
def highlightFace(net, frame, conf_threshold=0.7):
'''
This function detects faces on the image using the 'net' passed (if any) and returns the detection output
as well as the cordinates of the faces detected
'''
frameOpencvDnn=frame.copy()
#--------savi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
6fa9d4e801c303d15793ecf82029a5777f04f770 | 2,524 | py | Python | pdfExtract/pdf_to_txt_pdfminer.py | bqsgwys/KARMA | 4ddb42c06adaf9a6e9936d7f184f632f8ab43095 | [
"MIT"
] | 1 | 2019-08-29T01:01:07.000Z | 2019-08-29T01:01:07.000Z | pdfExtract/pdf_to_txt_pdfminer.py | bqsgwys/KARMA | 4ddb42c06adaf9a6e9936d7f184f632f8ab43095 | [
"MIT"
] | null | null | null | pdfExtract/pdf_to_txt_pdfminer.py | bqsgwys/KARMA | 4ddb42c06adaf9a6e9936d7f184f632f8ab43095 | [
"MIT"
] | 1 | 2019-08-24T01:46:48.000Z | 2019-08-24T01:46:48.000Z | import sys
import importlib
importlib.reload(sys)
from os import path
"""
/
:param: prompt -> abs_path: check approriate path and store it in abs_path
:return: string: abs_path
"""
"""
pdftxt
:param: name, name of every pdf file in the provided folder
:return: none
"""
print ("\n")
folder = check_path("Provide... | 27.139785 | 80 | 0.670365 | import sys
import importlib
importlib.reload(sys)
from os import chdir, getcwd, listdir, path
from time import strftime
from pdfminer.pdfparser import PDFParser, PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import... | 693 | 0 | 0 | 0 | 0 | 1,179 | 0 | 231 | 180 |
430c4d44d80a53df56f3ebfd8461e9c29bdef797 | 4,305 | py | Python | backend/swagger_server/tasks/invoke_webhook_.py | Lend88/libresign | 9537f39a696fa5f3433052406329d77d528b6cf9 | [
"MIT"
] | 6 | 2019-01-29T05:58:37.000Z | 2021-11-02T22:47:02.000Z | backend/swagger_server/tasks/invoke_webhook_.py | Lend88/libresign | 9537f39a696fa5f3433052406329d77d528b6cf9 | [
"MIT"
] | 9 | 2020-09-09T04:53:01.000Z | 2022-03-08T22:52:18.000Z | backend/swagger_server/tasks/invoke_webhook_.py | Lend88/libresign | 9537f39a696fa5f3433052406329d77d528b6cf9 | [
"MIT"
] | 4 | 2019-01-29T07:38:55.000Z | 2021-10-16T21:06:42.000Z |
from .. import app
| 29.895833 | 89 | 0.568873 |
from uuid import UUID
import json
import logging
import traceback
import requests
from requests.exceptions import ConnectionError as RequestsConnectionError, MissingSchema
from sqlalchemy.orm.exc import NoResultFound
from .. import app
from ..db import Session
from ..mappings import *
from ..helpers import type_che... | 0 | 2,580 | 0 | 0 | 0 | 1,333 | 0 | 80 | 292 |
89eff22d9d65a7bdcd163ee8887abcd24c0b0821 | 7,723 | py | Python | test.py | babbu3682/MRI-Net | e3b6aeb44991bf45a4884a46af48a99ac656ac52 | [
"MIT"
] | 3 | 2021-10-04T11:00:23.000Z | 2021-12-13T12:31:28.000Z | test.py | babbu3682/MRI-Net | e3b6aeb44991bf45a4884a46af48a99ac656ac52 | [
"MIT"
] | null | null | null | test.py | babbu3682/MRI-Net | e3b6aeb44991bf45a4884a46af48a99ac656ac52 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
import argparse
import numpy as np
import torch
import random
# import functools
# Fix random seeds for reproducibility
random_seed = 42
torch.manual_seed(random_seed)
torch.cuda.manual_seed(random_seed)
torch.cuda.manual_seed_all(random_seed)
torch.backends.cudnn.deterministic = ... | 39.005051 | 193 | 0.67681 | import os
from pathlib import Path
import argparse
import datetime
import numpy as np
import time
import torch
import json
import random
# import functools
import utils
from create_model import create_model
from create_datasets.prepare_datasets import build_test_dataset
from engine import *
from losses import Uptask_L... | 0 | 0 | 0 | 0 | 0 | 6,571 | 0 | 46 | 246 |
9844f3d7b5b70879b5137b6245bf9d56fa63e87e | 1,811 | py | Python | jupyros/server_extension.py | ihuicatl/jupyter-ros | ea9c9e89f0ebf82108ac4d96897b2c64e6f74563 | [
"BSD-3-Clause"
] | 459 | 2019-02-18T16:02:24.000Z | 2022-03-24T18:59:43.000Z | jupyros/server_extension.py | ihuicatl/jupyter-ros | ea9c9e89f0ebf82108ac4d96897b2c64e6f74563 | [
"BSD-3-Clause"
] | 54 | 2019-03-18T09:01:04.000Z | 2021-11-29T17:45:00.000Z | jupyros/server_extension.py | ihuicatl/jupyter-ros | ea9c9e89f0ebf82108ac4d96897b2c64e6f74563 | [
"BSD-3-Clause"
] | 83 | 2019-04-08T05:53:28.000Z | 2022-03-21T02:57:02.000Z | #############################################################################
# Copyright (c) Wolf Vollprecht, QuantStack #
# #
# Distributed under the terms of the BSD 3-Clause License. #
# ... | 35.509804 | 90 | 0.530094 | #############################################################################
# Copyright (c) Wolf Vollprecht, QuantStack #
# #
# Distributed under the terms of the BSD 3-Clause License. #
# ... | 0 | 0 | 0 | 495 | 0 | 0 | 0 | 28 | 45 |
5c3582a85174999dc4797d1a0ff273dd42485222 | 12,360 | py | Python | tests/test_solvers/test_quasisep/test_core.py | 0x0L/tinygp | 918c0bb8f7a0adbe9ca06df4667a3c15b9f92cec | [
"MIT"
] | null | null | null | tests/test_solvers/test_quasisep/test_core.py | 0x0L/tinygp | 918c0bb8f7a0adbe9ca06df4667a3c15b9f92cec | [
"MIT"
] | null | null | null | tests/test_solvers/test_quasisep/test_core.py | 0x0L/tinygp | 918c0bb8f7a0adbe9ca06df4667a3c15b9f92cec | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# mypy: ignore-errors
| 30.9 | 82 | 0.582524 | # -*- coding: utf-8 -*-
# mypy: ignore-errors
from itertools import combinations
import jax.numpy as jnp
import numpy as np
import pytest
from tinygp.solvers.quasisep.core import (
DiagQSM,
LowerTriQSM,
SquareQSM,
StrictLowerTriQSM,
StrictUpperTriQSM,
SymmQSM,
)
@pytest.fixture(params=["ran... | 0 | 5,266 | 0 | 0 | 0 | 6,420 | 0 | 131 | 481 |
2f2b4ab7abb6f6019210c464c87de68fa6200c4b | 515 | py | Python | tests/test_utils_data.py | ChasNelson1990/pyzoopla | d22ceb7f443016e0ce92436741fa3b27de3c53b3 | [
"MIT"
] | 1 | 2020-08-29T01:41:23.000Z | 2020-08-29T01:41:23.000Z | tests/test_utils_data.py | ChasNelson1990/pyzoopla | d22ceb7f443016e0ce92436741fa3b27de3c53b3 | [
"MIT"
] | 4 | 2019-10-24T14:48:50.000Z | 2021-06-17T13:57:27.000Z | tests/test_utils_data.py | ChasNelson1990/pyzoopla | d22ceb7f443016e0ce92436741fa3b27de3c53b3 | [
"MIT"
] | 2 | 2018-07-11T12:13:44.000Z | 2022-03-24T11:14:26.000Z | html1 = """<li class="clearfix">
<span class="interface nearby_stations_schools_national_rail_station" title="London Bridge"></span>
<span class="nearby_stations_schools_name" title="London Bridge">London Bridge</span>
(0.4 miles)
</li>"""
html2 = """<li class="clearfix">
<span class="interface... | 27.105263 | 99 | 0.691262 | html1 = """<li class="clearfix">
<span class="interface nearby_stations_schools_national_rail_station" title="London Bridge"></span>
<span class="nearby_stations_schools_name" title="London Bridge">London Bridge</span>
(0.4 miles)
</li>"""
html2 = """<li class="clearfix">
<span class="interface... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5e50eed7b3d0b70953b710020a5579e69debd092 | 679 | py | Python | NewYearChaos.py | vantonini/HackerRankCodes | 657b782b0a678a8edd84194b1bd147a305c6f01c | [
"MIT"
] | null | null | null | NewYearChaos.py | vantonini/HackerRankCodes | 657b782b0a678a8edd84194b1bd147a305c6f01c | [
"MIT"
] | null | null | null | NewYearChaos.py | vantonini/HackerRankCodes | 657b782b0a678a8edd84194b1bd147a305c6f01c | [
"MIT"
] | null | null | null |
# input = "5 1 2 3 7 8 6 4"
input = "1 2 5 3 7 8 6 4"
# input = "2 1 5 3 4"
# input = "2 5 1 3 4"
a = list(map(int, input.rstrip().split()))
minimumBribes(a) | 29.521739 | 120 | 0.572901 | def minimumBribes(q):
total_bribes = 0
for idx, num in enumerate(q):
if (num - (idx + 1) > 2):
print("Too chaotic")
return
# if there is a greater value between 2 positions before the original one (num-2) and its actual position (idx),
# it means that this number ... | 0 | 0 | 0 | 0 | 0 | 490 | 0 | 0 | 22 |
c5432aeb55cae2d4c190cdba30eb8b39542d26c3 | 4,615 | py | Python | model.py | ZhiangChen/brown_dwarf_ML | 49468d26e22cd074a074f6b610fbef46ed8f7637 | [
"Apache-2.0"
] | null | null | null | model.py | ZhiangChen/brown_dwarf_ML | 49468d26e22cd074a074f6b610fbef46ed8f7637 | [
"Apache-2.0"
] | null | null | null | model.py | ZhiangChen/brown_dwarf_ML | 49468d26e22cd074a074f6b610fbef46ed8f7637 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
model.py
Zhiang Chen
Nov 24, 2019
"""
from __future__ import absolute_import, division, print_function, unicode_literals
if __name__ == "__main__":
inputs = 200
layers = [200, 20, 2]
nn = FCL(inputs, layers)
| 32.5 | 128 | 0.593499 | #!/usr/bin/env python
"""
model.py
Zhiang Chen
Nov 24, 2019
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
import os
class FCL(object):
def __init__(self, input_shape, layers, activation_function='r... | 0 | 0 | 0 | 3,617 | 0 | 594 | 0 | -2 | 157 |
e2a250769110d19e18e743613def45ae92f2aeb4 | 5,134 | py | Python | src/lassl/blender.py | dumpmemory/lassl | dfe56f09cc2ade6c777ad8561b24f23d83a34188 | [
"Apache-2.0"
] | null | null | null | src/lassl/blender.py | dumpmemory/lassl | dfe56f09cc2ade6c777ad8561b24f23d83a34188 | [
"Apache-2.0"
] | null | null | null | src/lassl/blender.py | dumpmemory/lassl | dfe56f09cc2ade6c777ad8561b24f23d83a34188 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 TUNiB Inc.
# Copyright (c) 2020, NVIDIA CORPORATION. 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/licens... | 34.226667 | 110 | 0.643748 | # coding=utf-8
# Copyright 2021 TUNiB Inc.
# Copyright (c) 2020, NVIDIA CORPORATION. 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/licens... | 0 | 1,436 | 0 | 2,782 | 0 | 0 | 0 | 83 | 179 |
6ac8f9deb19603ee381eb0ad85c0d881b1d0355a | 7,168 | py | Python | Simpler scripts/analysis.py | peter-santana/SkyBoT_Search | 7f3cdff3876362041c42ed68e2ad29c17b04ecfe | [
"MIT"
] | null | null | null | Simpler scripts/analysis.py | peter-santana/SkyBoT_Search | 7f3cdff3876362041c42ed68e2ad29c17b04ecfe | [
"MIT"
] | null | null | null | Simpler scripts/analysis.py | peter-santana/SkyBoT_Search | 7f3cdff3876362041c42ed68e2ad29c17b04ecfe | [
"MIT"
] | null | null | null | #MBA and Asteroid Analysis
#Comments are done so for magnitudes less than 18 (LCAM Project standards)
import numpy as np
file = open("Analysis.txt", "w")
Asteroids = np.genfromtxt("Objects_test_asteroids.txt" , comments='#', delimiter = " | ",dtype=None,invalid_raise=False,usecols=(1), encoding=None)
Class = np.g... | 47.157895 | 148 | 0.730887 | #MBA and Asteroid Analysis
#Comments are done so for magnitudes less than 18 (LCAM Project standards)
import numpy as np
import sys
file = open("Analysis.txt", "w")
Asteroids = np.genfromtxt("Objects_test_asteroids.txt" , comments='#', delimiter = " | ",dtype=None,invalid_raise=False,usecols=(1), encoding=None)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 23 |
d6e16ba6d7b14d8de9db9ef7eb624534ece34bdb | 798 | py | Python | tcmi/__init__.py | BenjaminRegler/tcmi | 7f79e0fc02e45db41da723b24234b5e7f71e9464 | [
"Apache-2.0"
] | null | null | null | tcmi/__init__.py | BenjaminRegler/tcmi | 7f79e0fc02e45db41da723b24234b5e7f71e9464 | [
"Apache-2.0"
] | null | null | null | tcmi/__init__.py | BenjaminRegler/tcmi | 7f79e0fc02e45db41da723b24234b5e7f71e9464 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@package tcmi
@copyright Copyright (c) 2018+ Fritz Haber Institute of the Max Planck Society,
Benjamin Regler <regler@fhi-berlin.mpg.de>
@license See LICENSE file for details.
Licensed under the Apache License, Version 2.0 (the 'License').
You may not use this file excep... | 36.272727 | 112 | 0.740602 | # -*- coding: utf-8 -*-
"""
@package tcmi
@copyright Copyright (c) 2018+ Fritz Haber Institute of the Max Planck Society,
Benjamin Regler <regler@fhi-berlin.mpg.de>
@license See LICENSE file for details.
Licensed under the Apache License, Version 2.0 (the 'License').
You may not use this file excep... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f8f7c4c218545ffe2e2ff8b644c7180f6413d7fd | 826 | py | Python | ibis/pyspark/api.py | hjoo/ibis | 72ece317337fb7d329337f20db930845a669ce85 | [
"Apache-2.0"
] | null | null | null | ibis/pyspark/api.py | hjoo/ibis | 72ece317337fb7d329337f20db930845a669ce85 | [
"Apache-2.0"
] | null | null | null | ibis/pyspark/api.py | hjoo/ibis | 72ece317337fb7d329337f20db930845a669ce85 | [
"Apache-2.0"
] | null | null | null | from ibis.pyspark.client import PySparkClient
def connect(session):
"""
Create a `SparkClient` for use with Ibis. Pipes **kwargs into SparkClient,
which pipes them into SparkContext. See documentation for SparkContext:
https://spark.apache.org/docs/latest/api/python/_modules/pyspark/context.html#Spark... | 41.3 | 112 | 0.749395 | from ibis.pyspark.client import PySparkClient
from ibis.pyspark.compiler import dialect # noqa: F401
def connect(session):
"""
Create a `SparkClient` for use with Ibis. Pipes **kwargs into SparkClient,
which pipes them into SparkContext. See documentation for SparkContext:
https://spark.apache.org/do... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 36 |
c007e80ddc590ed427db3211f4a5b62c64e9f8ca | 69,317 | py | Python | src/onelogin/api/client.py | chrono/onelogin-python-sdk | 5f5ec6eb45058f85a3f9b7813e182265bb814db0 | [
"MIT"
] | null | null | null | src/onelogin/api/client.py | chrono/onelogin-python-sdk | 5f5ec6eb45058f85a3f9b7813e182265bb814db0 | [
"MIT"
] | null | null | null | src/onelogin/api/client.py | chrono/onelogin-python-sdk | 5f5ec6eb45058f85a3f9b7813e182265bb814db0 | [
"MIT"
] | null | null | null | #!/usr/bin/python
""" OneLoginClient class
Copyright (c) 2017, OneLogin, Inc.
All rights reserved.
OneLoginClient class of the OneLogin's Python SDK.
"""
| 35.186294 | 167 | 0.59401 | #!/usr/bin/python
""" OneLoginClient class
Copyright (c) 2017, OneLogin, Inc.
All rights reserved.
OneLoginClient class of the OneLogin's Python SDK.
"""
import datetime
from dateutil import tz
import requests
from defusedxml.lxml import fromstring
from onelogin.api.util.urlbuilder import UrlBuilder
from onelogin... | 0 | 0 | 0 | 68,009 | 0 | 0 | 0 | 618 | 531 |
045a0ba41bc8a0e9f7cdbe6646845212cfa944e3 | 475 | py | Python | BOJ/divide_and_conquer_boj/z.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/divide_and_conquer_boj/z.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/divide_and_conquer_boj/z.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | # BOJ 1074
import sys
si = sys.stdin.readline
n, r, c = map(int, si().split())
print(divide(r, c, n))
| 21.590909 | 62 | 0.498947 | # BOJ 1074
import sys
si = sys.stdin.readline
def divide(x, y, k):
if k == 0:
return 0
half = 1 << (k - 1)
if x < half and y < half:
return divide(x, y, half)
elif x < half <= y:
return half * half + divide(x, y - half, k - 1)
elif x >= half > y:
return 2 * half * ... | 0 | 0 | 0 | 0 | 0 | 346 | 0 | 0 | 23 |
e3b9f04529c8e6e56ace4d3c6daa35b61dfc6444 | 564 | py | Python | test/util/plot/util_plot_style.py | bomtuckle/pyrolite | c0af0ade14ff26b4e9fdd5a033b27e73df085c55 | [
"BSD-3-Clause"
] | 69 | 2019-02-25T00:17:53.000Z | 2022-03-31T17:26:48.000Z | test/util/plot/util_plot_style.py | bomtuckle/pyrolite | c0af0ade14ff26b4e9fdd5a033b27e73df085c55 | [
"BSD-3-Clause"
] | 68 | 2018-07-20T09:01:01.000Z | 2022-03-31T16:28:36.000Z | test/util/plot/util_plot_style.py | bomtuckle/pyrolite | c0af0ade14ff26b4e9fdd5a033b27e73df085c55 | [
"BSD-3-Clause"
] | 24 | 2018-10-02T04:32:10.000Z | 2021-11-10T08:24:17.000Z | import unittest
if __name__ == "__main__":
unittest.main()
| 20.888889 | 65 | 0.606383 | import unittest
import matplotlib.lines
from pyrolite.util.plot.style import (
marker_cycle,
linekwargs,
scatterkwargs,
patchkwargs,
_mpl_sp_kw_split,
)
class TestMarkerCycle(unittest.TestCase):
def test_iterable(self):
mkrs = marker_cycle()
for i in range(15):
... | 0 | 0 | 0 | 300 | 0 | 0 | 0 | 119 | 73 |
5c741966de8e291cbbe99d7d83b47cca6486ae2d | 1,153 | py | Python | src/brokkr/outputs/binaryfile.py | project-mjolnir/brokkr | 1785ca5e314f90f3f739ba9ff0d97749317b8a00 | [
"MIT"
] | 2 | 2022-01-14T21:20:06.000Z | 2022-01-17T18:37:25.000Z | src/brokkr/outputs/binaryfile.py | CAM-Gerlach/brokkr | 1785ca5e314f90f3f739ba9ff0d97749317b8a00 | [
"MIT"
] | null | null | null | src/brokkr/outputs/binaryfile.py | CAM-Gerlach/brokkr | 1785ca5e314f90f3f739ba9ff0d97749317b8a00 | [
"MIT"
] | 2 | 2020-08-24T16:11:22.000Z | 2022-03-14T06:15:35.000Z | """
Data output to a binary file.
"""
# Local imports
import brokkr.pipeline.baseoutput
| 30.342105 | 71 | 0.631396 | """
Data output to a binary file.
"""
# Local imports
import brokkr.pipeline.baseoutput
import brokkr.pipeline.utils
class BinaryFileOutput(brokkr.pipeline.baseoutput.FileOutputStep):
def __init__(
self,
str_encoding="utf-8",
extension="bin",
skip_na=True,
... | 0 | 0 | 0 | 1,011 | 0 | 0 | 0 | 7 | 45 |
e09cba69846083d33cc8386cd6e025bb40f65cb2 | 207 | py | Python | tools/csv-to-array.py | Kyuchumimo/Pygame-80 | 4d04f0a16b80c7e747e30c3f86c15728f26f272a | [
"MIT"
] | 4 | 2021-11-20T20:33:27.000Z | 2022-03-17T16:22:29.000Z | tools/csv-to-array.py | Kyuchumimo/Pygame-80 | 4d04f0a16b80c7e747e30c3f86c15728f26f272a | [
"MIT"
] | null | null | null | tools/csv-to-array.py | Kyuchumimo/Pygame-80 | 4d04f0a16b80c7e747e30c3f86c15728f26f272a | [
"MIT"
] | null | null | null | #Tool by Ghast with some changes
with open("path/file.csv", 'r') as file:
txt = "".join(file.readlines())
print("([ " + "\n ".join(["[{}],".format(t) for t in txt.split("\n") if t])[:-1] + " ])")
| 34.5 | 95 | 0.521739 | #Tool by Ghast with some changes
with open("path/file.csv", 'r') as file:
txt = "".join(file.readlines())
print("([ " + "\n ".join(["[{}],".format(t) for t in txt.split("\n") if t])[:-1] + " ])")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
32263f0357794fece5edef46f06e76e7144b0b82 | 1,115 | py | Python | third_party/WebKit/LayoutTests/http/tests/websocket/connection-throttling_wsh.py | google-ar/chromium | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 777 | 2017-08-29T15:15:32.000Z | 2022-03-21T05:29:41.000Z | third_party/WebKit/LayoutTests/http/tests/websocket/connection-throttling_wsh.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 66 | 2017-08-30T18:31:18.000Z | 2021-08-02T10:59:35.000Z | third_party/WebKit/LayoutTests/http/tests/websocket/connection-throttling_wsh.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 123 | 2017-08-30T01:19:34.000Z | 2022-03-17T22:55:31.000Z | import time
import threading
lock = threading.Lock()
connections = set()
next_test_id = 0
def new_test(request):
"""Allocate a unique test id."""
global lock, next_test_id
with lock:
request.response = str(next_test_id)
next_test_id += 1
def do_test(request, params):
"""Check that... | 22.755102 | 71 | 0.64574 | import cgi
import time
import threading
lock = threading.Lock()
connections = set()
next_test_id = 0
def web_socket_do_extra_handshake(request):
query_string = request.ws_resource.split('?', 1)
if len(query_string) == 1:
return
params = cgi.parse_qs(query_string[1])
mode = params["mode"][0]
... | 0 | 0 | 0 | 0 | 0 | 401 | 0 | -11 | 68 |
fbfe3ba14600bf7b322652be7051c9351321f08e | 963 | py | Python | app/libs/configLib/opasIJPConfig.py | Psychoanalytic-Electronic-Publishing/openpubarchive | afd2a281ebacf8404791c11a21c06a0ae135f2a7 | [
"Apache-2.0"
] | 1 | 2019-04-01T14:45:33.000Z | 2019-04-01T14:45:33.000Z | app/libs/configLib/opasIJPConfig.py | Psychoanalytic-Electronic-Publishing/openpubarchive | afd2a281ebacf8404791c11a21c06a0ae135f2a7 | [
"Apache-2.0"
] | 46 | 2019-05-14T14:16:15.000Z | 2020-08-06T03:45:12.000Z | app/libs/configLib/opasIJPConfig.py | nrshapiro/openpubarchive | f6d3b7da6cd23e51b32e16e17ccb55b8511d32a6 | [
"Apache-2.0"
] | 1 | 2020-08-26T15:25:28.000Z | 2020-08-26T15:25:28.000Z |
#IJPOpen IssueTitles by issue number (used to sort IJPOpen by issuetitle)
IJPOPENISSUES = {
"Announcement": 1,
"Annuals Report": 2,
"Book Review Essay": 3,
"Book Reviews": 4,
"Book and Journal Reviews": 5,
"Child and Adolescent Psychoanalysis": 6,
"Clinical Communications": 7,
"Correcti... | 27.514286 | 73 | 0.632399 |
#IJPOpen IssueTitles by issue number (used to sort IJPOpen by issuetitle)
IJPOPENISSUES = {
"Announcement": 1,
"Annuals Report": 2,
"Book Review Essay": 3,
"Book Reviews": 4,
"Book and Journal Reviews": 5,
"Child and Adolescent Psychoanalysis": 6,
"Clinical Communications": 7,
"Correcti... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
77307f2c3b8902fab7545f46f61b0dedee3a1e6c | 2,914 | py | Python | test/test_bayesian_inference_methods.py | quizlet/abracadabra | eda599bd02f14b96efdc521f53132d93c9100ede | [
"MIT"
] | 24 | 2020-06-12T16:12:32.000Z | 2021-09-01T12:25:38.000Z | test/test_bayesian_inference_methods.py | quizlet/abracadabra | eda599bd02f14b96efdc521f53132d93c9100ede | [
"MIT"
] | 20 | 2020-06-12T06:26:08.000Z | 2022-03-12T00:57:51.000Z | test/test_bayesian_inference_methods.py | quizlet/abracadabra | eda599bd02f14b96efdc521f53132d93c9100ede | [
"MIT"
] | 4 | 2020-06-14T12:14:11.000Z | 2021-05-28T15:36:44.000Z | from abra.inference.bayesian import get_stan_model_code
from abra.inference.bayesian.models.binary import beta_binomial, binomial, bernoulli
from abra.inference.bayesian.models.continuous import gaussian, exp_student_t
from abra.inference.bayesian.models.counts import gamma_poisson
def test_binary_model_specs():
... | 35.975309 | 84 | 0.732327 | import pytest
from abra import Experiment, HypothesisTest
from abra.inference.bayesian import get_stan_model_code
from abra.inference.bayesian.models.binary import beta_binomial, binomial, bernoulli
from abra.inference.bayesian.models.continuous import gaussian, exp_student_t
from abra.inference.bayesian.models.counts ... | 0 | 1,750 | 0 | 0 | 0 | 0 | 0 | 14 | 136 |
1bdd2d7e76e97d21b66c6c30889b982b92354d88 | 795 | py | Python | itembase/core/urls/staffing_urls.py | wedwardbeck/ibase | 5647fa5aff6c1bdc99b6c93884ff0d5aef17d85b | [
"MIT"
] | null | null | null | itembase/core/urls/staffing_urls.py | wedwardbeck/ibase | 5647fa5aff6c1bdc99b6c93884ff0d5aef17d85b | [
"MIT"
] | 9 | 2020-01-17T14:16:08.000Z | 2020-02-18T15:07:40.000Z | itembase/core/urls/staffing_urls.py | wedwardbeck/ibase | 5647fa5aff6c1bdc99b6c93884ff0d5aef17d85b | [
"MIT"
] | null | null | null | from django.urls import path
from itembase.core.views.staffing_views import ProjectManagerListView, TeamLeadListView, TeamListView, TeamMemberCreateView, TeamMemberClientCreateView, TeamMemberDetailView, TeamMemberUpdateView
app_name = "staff"
urlpatterns = [
# Client URL Patterns
path('', TeamListView.as_vi... | 41.842105 | 104 | 0.727044 | from django.urls import path
from itembase.core.views.staffing_views import ProjectManagerListView, TeamLeadListView, TeamListView, \
TeamMemberCreateView, TeamMemberClientCreateView, TeamMemberDetailView, TeamMemberUpdateView
app_name = "staff"
urlpatterns = [
# Client URL Patterns
path('', TeamListView... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
310c7df1f0f9e5bde45ca6f11e217475a48685e6 | 1,457 | py | Python | scripts/dcj/dcjall.py | metaflow/contests | 5e9ffcb72c3e7da54b5e0818b1afa59f5778ffa2 | [
"MIT"
] | 1 | 2019-05-12T23:41:00.000Z | 2019-05-12T23:41:00.000Z | scripts/dcj/dcjall.py | metaflow/contests | 5e9ffcb72c3e7da54b5e0818b1afa59f5778ffa2 | [
"MIT"
] | null | null | null | scripts/dcj/dcjall.py | metaflow/contests | 5e9ffcb72c3e7da54b5e0818b1afa59f5778ffa2 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import os
import re
import subprocess
if len(sys.argv) < 3:
print("provide problem name and number of nodes")
exit(1)
problemName = sys.argv[1]
nodeCount = sys.argv[2]
for file in os.listdir('.'):
if not re.match(problemName + '.+\.h$', file):
# print(file, "X")
... | 36.425 | 92 | 0.540837 | #!/usr/bin/python
import sys
import os
import re
import subprocess
if len(sys.argv) < 3:
print("provide problem name and number of nodes")
exit(1)
problemName = sys.argv[1]
nodeCount = sys.argv[2]
for file in os.listdir('.'):
if not re.match(problemName + '.+\.h$', file):
# print(file, "X")
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9cb03cd0c43dd3a253e43ad59681fff4e0cf9e26 | 2,442 | py | Python | app.py | asinghal17/projectnic | c403773fe8dee8fdc81d290a765b03c4a144fd28 | [
"MIT"
] | null | null | null | app.py | asinghal17/projectnic | c403773fe8dee8fdc81d290a765b03c4a144fd28 | [
"MIT"
] | null | null | null | app.py | asinghal17/projectnic | c403773fe8dee8fdc81d290a765b03c4a144fd28 | [
"MIT"
] | null | null | null | import logging
from flask import Flask
from flask_cache import Cache
from flask_compress import Compress
chap = "1blZPkNxrw3ovfLvqD76eUzTuME34N2bl1fSTdaMjX2c"
marq = "1wFK2aPJmXjAQAx3rT2vF7H-8NvveWQ7tuXdEoemhZ1M"
board = "1JbaMwsPHbN3og_igSOJfJEzf2IJimAIqzrbf_ra6Pp0"
osuexec = "1RVdYx88BnZ7IEWP1Kidk00-K80V96cCWOMCIrqf... | 27.75 | 122 | 0.774775 | import os
import logging
from flask import Flask,request,render_template
from flask_cache import Cache
from flask_compress import Compress
from lib import gscrape
from time import time
chap = "1blZPkNxrw3ovfLvqD76eUzTuME34N2bl1fSTdaMjX2c"
marq = "1wFK2aPJmXjAQAx3rT2vF7H-8NvveWQ7tuXdEoemhZ1M"
board = "1JbaMwsPHbN3og_ig... | 0 | 1,244 | 0 | 0 | 0 | 0 | 0 | 14 | 365 |
f020de87f729c05ecab0fa899e0fdc816f946705 | 1,873 | py | Python | qa/L0_e2e/test_model.py | rapidsai/rapids-triton-template | df645ea6442b530de22b18e6adb115bb70e1c7d3 | [
"Apache-2.0",
"Unlicense"
] | null | null | null | qa/L0_e2e/test_model.py | rapidsai/rapids-triton-template | df645ea6442b530de22b18e6adb115bb70e1c7d3 | [
"Apache-2.0",
"Unlicense"
] | null | null | null | qa/L0_e2e/test_model.py | rapidsai/rapids-triton-template | df645ea6442b530de22b18e6adb115bb70e1c7d3 | [
"Apache-2.0",
"Unlicense"
] | null | null | null | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 31.216667 | 74 | 0.711692 | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 | 763 | 0 | 0 | 0 | 8 | 0 | 24 | 181 |
6a5fce27d8838673500514161dace7dd34496f21 | 18,069 | py | Python | test_decode.py | akpandeya/odisoft-test | 3563fb8d3b83b2e6e7c1cd917474690b6dd109d4 | [
"MIT"
] | null | null | null | test_decode.py | akpandeya/odisoft-test | 3563fb8d3b83b2e6e7c1cd917474690b6dd109d4 | [
"MIT"
] | null | null | null | test_decode.py | akpandeya/odisoft-test | 3563fb8d3b83b2e6e7c1cd917474690b6dd109d4 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main() | 64.996403 | 200 | 0.630638 | import unittest
from decode import hex_to_dec, get_bool, hex_to_binary_int_string, hex_to_binary_string_list, invert_string, get_data_status
from decode import format_hex, bin_to_dec, binary_to_on_off, get_digital_io_status, get_alarm, get_reverse
from decode import get_battery, hex_to_float, make_decimal
class TestSt... | 0 | 0 | 0 | 17,648 | 0 | 0 | 0 | 225 | 89 |
ed133590646e67d6382481de06d6028b4e5853f5 | 1,348 | py | Python | scripts/sendalert.py | Zagyarakushi/CHS | 2f1f6f8842313a2419946c913b177ac6cac98476 | [
"MIT"
] | null | null | null | scripts/sendalert.py | Zagyarakushi/CHS | 2f1f6f8842313a2419946c913b177ac6cac98476 | [
"MIT"
] | null | null | null | scripts/sendalert.py | Zagyarakushi/CHS | 2f1f6f8842313a2419946c913b177ac6cac98476 | [
"MIT"
] | null | null | null | import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email import encoders
import os
email = 'xxxx@xxxx.com'
password = 'xxxx'
send_to_emails = ['xxxx@xxxx.com', 'xxxx@xxxx.com'] # List of email addresses
subject = 'xxxx'
message =... | 29.955556 | 85 | 0.642433 | import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email import encoders
import os
email = 'xxxx@xxxx.com'
password = 'xxxx'
send_to_emails = ['xxxx@xxxx.com', 'xxxx@xxxx.com'] # List of email addresses
subject = 'xxxx'
message =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7a391788a188542e9a1450ff50afc0f941cefabf | 3,504 | py | Python | face_manager/management/commands/deprecated/inception_features.py | benjaminlewis-1000/django_picasa | 029e30786e1acb53d864ff185c1a26274084f739 | [
"MIT"
] | null | null | null | face_manager/management/commands/deprecated/inception_features.py | benjaminlewis-1000/django_picasa | 029e30786e1acb53d864ff185c1a26274084f739 | [
"MIT"
] | 22 | 2021-04-08T18:42:18.000Z | 2022-03-12T00:12:02.000Z | face_manager/management/commands/deprecated/inception_features.py | benjaminlewis-1000/django_picasa | 029e30786e1acb53d864ff185c1a26274084f739 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
| 29.694915 | 78 | 0.640411 | #! /usr/bin/env python
from django.core.management.base import BaseCommand
from face_manager import models as face_models
from facenet_pytorch import MTCNN, InceptionResnetV1
from filepopulator import models as file_models
from io import BytesIO
from PIL import Image, ExifTags
import cv2
import matplotlib.pyplot as pl... | 0 | 0 | 0 | 714 | 0 | 2,315 | 0 | 89 | 361 |
450c4a53241e0756f399c22190d4cb19584b9d9c | 716 | py | Python | fritzlog/management/commands/fritz_parse_captures.py | defgsus/fritztrack | a433f0c373cad992889c447b5283394cf321ff44 | [
"MIT"
] | 1 | 2020-09-16T14:44:36.000Z | 2020-09-16T14:44:36.000Z | fritzlog/management/commands/fritz_parse_captures.py | defgsus/fritztrack | a433f0c373cad992889c447b5283394cf321ff44 | [
"MIT"
] | null | null | null | fritzlog/management/commands/fritz_parse_captures.py | defgsus/fritztrack | a433f0c373cad992889c447b5283394cf321ff44 | [
"MIT"
] | null | null | null | # encoding=utf-8
from __future__ import unicode_literals, print_function
| 27.538462 | 72 | 0.717877 | # encoding=utf-8
from __future__ import unicode_literals, print_function
import datetime
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from django.utils.translation import ugettext_lazy as _
class Command(BaseCommand):
help = _('Parse all (new) capture files... | 0 | 0 | 0 | 444 | 0 | 0 | 0 | 84 | 113 |
f0193054d36a0c6e8471e9bef2ea730de7f9933f | 2,569 | py | Python | models/fcos/model.py | AI-UI-GmbH/AI-Lab | 68b87e44cf23d15a407c5e5895fea037a4ca2bb7 | [
"MIT"
] | 4 | 2020-11-28T14:54:15.000Z | 2021-07-02T10:00:00.000Z | models/fcos/model.py | AI-UI-GmbH/AI-Lab | 68b87e44cf23d15a407c5e5895fea037a4ca2bb7 | [
"MIT"
] | 1 | 2021-04-20T08:26:33.000Z | 2021-04-20T09:26:34.000Z | models/fcos/model.py | AI-UI-GmbH/AI-Lab | 68b87e44cf23d15a407c5e5895fea037a4ca2bb7 | [
"MIT"
] | 1 | 2021-03-08T07:43:03.000Z | 2021-03-08T07:43:03.000Z | import tensorflow as tf
import tensorflow.keras.layers as KL
from utils import conv_block
def FCOS(cfg, backbone=None, top_layer=None):
"""return FCOS as keras model
Arguments:
cfg: dict
backbone: str or keras model
top_layer:
Returns:
keras model of FCOS
"""
# ... | 30.951807 | 113 | 0.65434 | import tensorflow as tf
import tensorflow.keras.layers as KL
from utils import conv_block
def FCOS(cfg, backbone=None, top_layer=None):
"""return FCOS as keras model
Arguments:
cfg: dict
backbone: str or keras model
top_layer:
Returns:
keras model of FCOS
"""
# ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2133d7487ed2eafa972936d2c2ce5a9de7a8b771 | 1,135 | py | Python | python_for_beginners/nested_loops_exs/cinema_tickets.py | deboradyankova/python_education | 41c246ae50b4bf0f372f7b8b2de8d02391eaad7a | [
"MIT"
] | null | null | null | python_for_beginners/nested_loops_exs/cinema_tickets.py | deboradyankova/python_education | 41c246ae50b4bf0f372f7b8b2de8d02391eaad7a | [
"MIT"
] | null | null | null | python_for_beginners/nested_loops_exs/cinema_tickets.py | deboradyankova/python_education | 41c246ae50b4bf0f372f7b8b2de8d02391eaad7a | [
"MIT"
] | null | null | null | standard_tickets = 0
student_tickets = 0
kid_tickets = 0
finished = False
while not finished:
movie = input()
seats = int(input())
capacity = seats
while True:
ticket = input()
if ticket == 'Finish' or ticket == 'End':
if ticket == 'Finish':
... | 27.02381 | 76 | 0.547137 | standard_tickets = 0
student_tickets = 0
kid_tickets = 0
finished = False
while not finished:
movie = input()
seats = int(input())
capacity = seats
while True:
ticket = input()
if ticket == 'Finish' or ticket == 'End':
if ticket == 'Finish':
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7d4e6842bd7e8d86d0c6e9897e04fb4946613393 | 10,955 | py | Python | data_gateway/persistence.py | aerosense-ai/data-gateway | 019b8e4a114e16d363a3167171a457cefdbf004f | [
"Apache-2.0"
] | null | null | null | data_gateway/persistence.py | aerosense-ai/data-gateway | 019b8e4a114e16d363a3167171a457cefdbf004f | [
"Apache-2.0"
] | 34 | 2021-12-20T14:51:57.000Z | 2022-03-30T16:47:04.000Z | data_gateway/persistence.py | aerosense-ai/data-gateway | 019b8e4a114e16d363a3167171a457cefdbf004f | [
"Apache-2.0"
] | null | null | null | import multiprocessing
logger = multiprocessing.get_logger()
DEFAULT_OUTPUT_DIRECTORY = "data_gateway"
| 35.453074 | 119 | 0.651848 | import abc
import copy
import csv
import json
import multiprocessing
import os
import time
from octue.cloud import storage
from octue.cloud.storage.client import GoogleCloudStorageClient
from octue.utils.persistence import calculate_disk_usage, get_oldest_file_in_directory
logger = multiprocessing.get_logger()
DEFA... | 0 | 425 | 0 | 10,076 | 0 | 0 | 0 | 53 | 291 |
c3924ae4925dcec00bd3df99ed04d15b89201408 | 2,510 | py | Python | quantumteleport.py | Ixss82/Tutorials | 37c91ceee406e9b580f204105d531ccb789ad569 | [
"MIT"
] | 38 | 2019-11-10T05:02:58.000Z | 2022-03-28T05:02:16.000Z | quantumteleport.py | Ixss82/Tutorials | 37c91ceee406e9b580f204105d531ccb789ad569 | [
"MIT"
] | null | null | null | quantumteleport.py | Ixss82/Tutorials | 37c91ceee406e9b580f204105d531ccb789ad569 | [
"MIT"
] | 2 | 2020-04-22T18:28:18.000Z | 2020-12-02T22:23:57.000Z | from qiskit import QuantumCircuit
from qiskit import execute, Aer
from qiskit.visualization import plot_histogram
secret_unitary = "hz"
# simple function that applies a series of unitary gates from a given string
# Create the quantum circuit with 3 qubits and 3 classical bits
qc = QuantumCircuit(3, 3)
print("Original... | 32.597403 | 115 | 0.707171 | import qiskit as qk
from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit
from qiskit import execute, Aer
from qiskit import IBMQ
from qiskit.visualization import plot_histogram
import matplotlib
secret_unitary = "hz"
# simple function that applies a series of unitary gates from a given string
def appl... | 0 | 0 | 0 | 0 | 0 | 559 | 0 | 32 | 88 |
79f6c05ef0b7790c4357518a615bf6eb5bb89528 | 4,257 | py | Python | emp_uncertainty/dropout_rate/cifar_dropout.py | testingautomated-usi/repli-stvr2022-uncertainty | c4ef27721e9d3e2b44d328cc99b0e2616b99ef12 | [
"MIT"
] | null | null | null | emp_uncertainty/dropout_rate/cifar_dropout.py | testingautomated-usi/repli-stvr2022-uncertainty | c4ef27721e9d3e2b44d328cc99b0e2616b99ef12 | [
"MIT"
] | null | null | null | emp_uncertainty/dropout_rate/cifar_dropout.py | testingautomated-usi/repli-stvr2022-uncertainty | c4ef27721e9d3e2b44d328cc99b0e2616b99ef12 | [
"MIT"
] | null | null | null | import uncertainty_wizard as uwiz
from emp_uncertainty.case_studies.case_study import BASE_MODEL_SAVE_FOLDER, BASE_OUTPUTS_SAVE_FOLDER
from emp_uncertainty.dropout_rate.utils import CpuOnlyContext
MODEL_FOLDER = f"{BASE_MODEL_SAVE_FOLDER}/dropout-experiments/cifar"
OUTPUTS_FOLDER = f"{BASE_OUTPUTS_SAVE_FOLDER}/dropou... | 43.438776 | 113 | 0.690392 | import os
import numpy as np
import tensorflow as tf
import uncertainty_wizard as uwiz
from emp_uncertainty.case_studies.case_study import BASE_MODEL_SAVE_FOLDER, BASE_OUTPUTS_SAVE_FOLDER
from emp_uncertainty.case_studies.plain_classifiers import cifar10
from emp_uncertainty.dropout_rate.utils import rate_from_model_... | 0 | 0 | 0 | 0 | 0 | 3,139 | 0 | 95 | 158 |
5bc582991a413b2ba07c5f19269a2c90a04f6184 | 16,873 | py | Python | tests/integration/coordinator/plugins/clickhouse/conftest.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 19 | 2020-06-22T12:17:59.000Z | 2022-02-18T00:12:17.000Z | tests/integration/coordinator/plugins/clickhouse/conftest.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 7 | 2020-06-24T05:16:20.000Z | 2022-02-28T07:35:31.000Z | tests/integration/coordinator/plugins/clickhouse/conftest.py | aiven/astacus | 2d64e1f33e01d50a41127f41d9da3d1ab0ce0387 | [
"Apache-2.0"
] | 2 | 2020-09-05T21:23:08.000Z | 2022-02-17T15:02:37.000Z | """
Copyright (c) 2021 Aiven Ltd
See LICENSE for details
"""
import logging
import pytest
logger = logging.getLogger(__name__)
pytestmark = [pytest.mark.clickhouse]
USER_CONFIG = """
<yandex>
<users>
<default>
<password>secret</password>
<access_management>true... | 41.559113 | 125 | 0.635335 | """
Copyright (c) 2021 Aiven Ltd
See LICENSE for details
"""
from astacus.client import create_client_parsers
from astacus.common.ipc import Plugin
from astacus.common.rohmustorage import (
RohmuCompression, RohmuCompressionType, RohmuConfig, RohmuEncryptionKey, RohmuLocalStorageConfig, RohmuStorageType
)
from asta... | 0 | 7,905 | 720 | 174 | 0 | 5,907 | 0 | 638 | 879 |
7f19103a2d52aa9ea8d844c3bc21561c35e2e2aa | 1,864 | py | Python | test_ytreporty.py | understood/ytreporty | 1042b27430fe333d34f75e42d9a2dadfc1b7b29d | [
"Apache-2.0"
] | 1 | 2019-07-12T20:17:29.000Z | 2019-07-12T20:17:29.000Z | test_ytreporty.py | understood/ytreporty | 1042b27430fe333d34f75e42d9a2dadfc1b7b29d | [
"Apache-2.0"
] | null | null | null | test_ytreporty.py | understood/ytreporty | 1042b27430fe333d34f75e42d9a2dadfc1b7b29d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8; mode: Python; -*-
#
# Licensed under the Apache License, Version 2.0 (the "License"); you
# may not use this file except in compliance with the License. You may
# obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 34.518519 | 83 | 0.703326 | # -*- coding: utf-8; mode: Python; -*-
#
# Licensed under the Apache License, Version 2.0 (the "License"); you
# may not use this file except in compliance with the License. You may
# obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 0 | 873 | 0 | 162 | 0 | 0 | 0 | 57 | 185 |
6e7557daefdab3b40588aa64b3b93cd547792503 | 408 | py | Python | While/exercicio4.py | JoaoFelipe-AlvesOliveira/LearningPython | ecc500956a99b9b6852cd6502f928bc0ebc34dff | [
"MIT"
] | null | null | null | While/exercicio4.py | JoaoFelipe-AlvesOliveira/LearningPython | ecc500956a99b9b6852cd6502f928bc0ebc34dff | [
"MIT"
] | null | null | null | While/exercicio4.py | JoaoFelipe-AlvesOliveira/LearningPython | ecc500956a99b9b6852cd6502f928bc0ebc34dff | [
"MIT"
] | null | null | null | base= int(input("Digite o numero base da potencia"))
expoente= int(input("Digite o numero expoente da potencia"))
if expoente <0:
print("Erro: O expoente no pode ser negativo")
else:
contador= 0
resultado= 1
while contador < expoente:
resultado=resultado*base
contad... | 22.666667 | 60 | 0.605392 | base= int(input("Digite o numero base da potencia"))
expoente= int(input("Digite o numero expoente da potencia"))
if expoente <0:
print("Erro: O expoente não pode ser negativo")
else:
contador= 0
resultado= 1
while contador < expoente:
resultado=resultado*base
conta... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c8ff6ac093ced02a80d7192f5ab3e61cca9ed1f2 | 5,949 | py | Python | ldsnotes/content.py | contagon/ldsnotes | 46840c17bf0451221d1ffeeb772a309c4166817f | [
"MIT"
] | 3 | 2020-12-26T17:51:53.000Z | 2021-05-26T17:25:13.000Z | ldsnotes/content.py | contagon/ldsnotes | 46840c17bf0451221d1ffeeb772a309c4166817f | [
"MIT"
] | 5 | 2020-12-23T05:36:59.000Z | 2021-08-24T20:25:41.000Z | ldsnotes/content.py | contagon/ldsnotes | 46840c17bf0451221d1ffeeb772a309c4166817f | [
"MIT"
] | null | null | null | import html.parser
import re
H = html.parser.HTMLParser()
CONTENT = "https://www.churchofjesuschrist.org/content/api/v2"
def clean_html(text):
"""Takes in html code and cleans it. Note that footnotes
are replaced with # for word counting later.
Parameters
-----------
text : string
... | 36.722222 | 330 | 0.547823 | import requests
import html.parser
import re
H = html.parser.HTMLParser()
CONTENT = "https://www.churchofjesuschrist.org/content/api/v2"
def clean_html(text):
"""Takes in html code and cleans it. Note that footnotes
are replaced with # for word counting later.
Parameters
-----------
text : s... | 3 | 3,025 | 0 | 1,845 | 0 | 0 | 0 | -6 | 45 |
0aa0e34273f01fed93f0df641117d59fccf2986d | 1,064 | py | Python | __scraping__/tripadvisor.com - selenium/main-count-reviews-on-profile.py | furas/python-code | 223d8245c6a2a058031f302feaffd9a4f900110e | [
"MIT"
] | 2 | 2015-12-12T20:14:12.000Z | 2016-08-13T00:42:10.000Z | __scraping__/tripadvisor.com - selenium/main-count-reviews-on-profile.py | furas/python-code | 223d8245c6a2a058031f302feaffd9a4f900110e | [
"MIT"
] | null | null | null | __scraping__/tripadvisor.com - selenium/main-count-reviews-on-profile.py | furas/python-code | 223d8245c6a2a058031f302feaffd9a4f900110e | [
"MIT"
] | null | null | null | # author: Bartlomiej "furas" Burek (https://blog.furas.pl)
# date: 2022.04.11
from selenium import webdriver
from selenium.webdriver.common.by import By
#from webdriver_manager.chrome import ChromeDriverManager
from webdriver_manager.firefox import GeckoDriverManager
import time
url = 'https://www.tripadvisor.com/Pro... | 28 | 100 | 0.730263 | # author: Bartlomiej "furas" Burek (https://blog.furas.pl)
# date: 2022.04.11
from selenium import webdriver
from selenium.webdriver.common.by import By
#from webdriver_manager.chrome import ChromeDriverManager
from webdriver_manager.firefox import GeckoDriverManager
import time
url = 'https://www.tripadvisor.com/Pro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
800a7703037b4069877c76209b967e9aa1656d1b | 3,369 | py | Python | collect/collect08Hmdb.py | glm729/mtdtag | 0f2103342c6efd5175e2638f2ae762b837620e61 | [
"BSD-4-Clause"
] | null | null | null | collect/collect08Hmdb.py | glm729/mtdtag | 0f2103342c6efd5175e2638f2ae762b837620e61 | [
"BSD-4-Clause"
] | 6 | 2021-03-29T04:25:34.000Z | 2021-06-04T03:48:44.000Z | collect/collect08Hmdb.py | glm729/mtdtag | 0f2103342c6efd5175e2638f2ae762b837620e61 | [
"BSD-4-Clause"
] | 2 | 2021-06-18T19:42:09.000Z | 2021-07-22T04:48:46.000Z | #!/usr/bin/env python3
# Required imports
# -----------------------------------------------------------------------------
import json
import os
import functools as ft
import multiprocessing as mp
# Function definitions
# -----------------------------------------------------------------------------
# Helper to r... | 26.116279 | 79 | 0.570496 | #!/usr/bin/env python3
# Required imports
# -----------------------------------------------------------------------------
import json
import os
import functools as ft
import multiprocessing as mp
import xmltodict as xd
# Function definitions
# ----------------------------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 1,237 | 0 | 1 | 132 |
52935524fdd04ab3aad5b99a96020fa25d8790c3 | 3,215 | py | Python | tools/test_net.py | Willy0919/Evovling_Boxes | a8543227f9e715d67dde1ffe62ee6d0400cca517 | [
"BSD-3-Clause"
] | 74 | 2017-04-07T13:18:39.000Z | 2021-05-20T01:35:31.000Z | tools/test_net.py | Willy0919/Evovling_Boxes | a8543227f9e715d67dde1ffe62ee6d0400cca517 | [
"BSD-3-Clause"
] | 10 | 2017-06-22T12:54:17.000Z | 2021-06-28T11:28:11.000Z | tools/test_net.py | Willy0919/Evovling_Boxes | a8543227f9e715d67dde1ffe62ee6d0400cca517 | [
"BSD-3-Clause"
] | 26 | 2017-06-02T05:54:44.000Z | 2021-03-12T07:53:54.000Z | #!/usr/bin/env python
import _init_paths
from evb.test import test_net
from evb.config import cfg, cfg_from_file, cfg_from_list
from datasets.factory import get_imdb
import caffe
import argparse
import pprint
import time, os, sys
def parse_args():
"""
Parse input arguments
"""
parser = argparse.Argumen... | 36.954023 | 90 | 0.597823 | #!/usr/bin/env python
import _init_paths
from evb.test import test_net
from evb.config import cfg, cfg_from_file, cfg_from_list
from datasets.factory import get_imdb
import caffe
import argparse
import pprint
import time, os, sys
def parse_args():
"""
Parse input arguments
"""
parser = argparse.Argumen... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d5e3ef78a8e17b443f7b34fba57aac0f36943332 | 2,575 | py | Python | tests/test_main.py | rosetechnology/xdelta3-python | 04490025f5e00baf25de8e515f0dc808343e7134 | [
"Apache-2.0"
] | null | null | null | tests/test_main.py | rosetechnology/xdelta3-python | 04490025f5e00baf25de8e515f0dc808343e7134 | [
"Apache-2.0"
] | null | null | null | tests/test_main.py | rosetechnology/xdelta3-python | 04490025f5e00baf25de8e515f0dc808343e7134 | [
"Apache-2.0"
] | null | null | null |
value_one = b'this is a short string to test with. It is suitable for delta encoding.'
value_two = b'this is a different short string to test with. It is suitable for delta encoding.'
expected_delta = b'\xd6\xc3\xc4\x00\x00\x01G\x00\x14Q\x00\t\x04\x02different\x1a\n\x13>\x00\t'
| 31.790123 | 101 | 0.706408 | import base64
import os
import string
from pathlib import Path
import pytest
import xdelta3
value_one = b'this is a short string to test with. It is suitable for delta encoding.'
value_two = b'this is a different short string to test with. It is suitable for delta encoding.'
expected_delta = b'\xd6\xc3\xc4\x00\x00\x... | 0 | 0 | 0 | 0 | 0 | 2,009 | 0 | -40 | 318 |
730f3a31c992e0bbccbfb4197f86e892800856ab | 646 | py | Python | libra/client.py | GiuseppeVadrucci/Libra | a12c8b4ab2e13e4a59e7bf6d7431e271c1dc03e8 | [
"Apache-2.0"
] | 2 | 2018-06-02T20:18:23.000Z | 2018-06-02T20:18:27.000Z | libra/client.py | GiuseppeVadrucci/Libra | a12c8b4ab2e13e4a59e7bf6d7431e271c1dc03e8 | [
"Apache-2.0"
] | null | null | null | libra/client.py | GiuseppeVadrucci/Libra | a12c8b4ab2e13e4a59e7bf6d7431e271c1dc03e8 | [
"Apache-2.0"
] | null | null | null | # Echo client program
# This is a simple test client
PORT = 80 # The same port as used by the server
| 24.846154 | 82 | 0.586687 | # Echo client program
# This is a simple test client
import socket
import sys
PORT = 80 # The same port as used by the server
def connect(HOST):
s = None
for res in socket.getaddrinfo(HOST, PORT, socket.AF_UNSPEC, socket.SOCK_STREAM):
af, socktype, proto, canonname, sa = res
try:
s ... | 0 | 0 | 0 | 0 | 0 | 486 | 0 | -19 | 66 |
aba99a8940a29f8ffdafe077123930a5ec07bdd0 | 4,894 | py | Python | GearC/contact.py | cfernandesFEUP/Gear-Calculation | c15249c23f97e1168e3316ad5e27ed747758353a | [
"Unlicense"
] | 3 | 2020-09-01T13:19:10.000Z | 2021-12-13T13:59:00.000Z | GearC/contact.py | cfernandesFEUP/Gear-Calculation | c15249c23f97e1168e3316ad5e27ed747758353a | [
"Unlicense"
] | null | null | null | GearC/contact.py | cfernandesFEUP/Gear-Calculation | c15249c23f97e1168e3316ad5e27ed747758353a | [
"Unlicense"
] | null | null | null | ## GEAR FORCES AND POWER LOSS #################################################
## LINES OF CONTACT ###########################################################
## HERTZIAN CONTACT ########################################################### | 44.899083 | 115 | 0.525337 | import numpy as np
## GEAR FORCES AND POWER LOSS #################################################
def forces(torque, omega, rb, rl, alpha_tw, betab, Req, Ra, xl, miu, lxi, mu, b):
Pin = np.outer(omega[0],torque[0])
fbt = 1000*torque[0]/rb[0]
ft = 1000*torque[0]/rl[0]
fr = fbt*np.sin(alpha_tw)
fbn =... | 0 | 0 | 0 | 0 | 0 | 4,570 | 0 | -3 | 88 |
3561331788fba2f2c36c81638f93dfa9bf0167f9 | 3,252 | py | Python | High-Rated-Games-on-Google-Playstore--EDA-&-Data-Preprocessing/code.py | DSOCT18/ga-learner-dsmp-repo | a5c4b13b84115a66190c344def3b30bb926a3ca5 | [
"MIT"
] | null | null | null | High-Rated-Games-on-Google-Playstore--EDA-&-Data-Preprocessing/code.py | DSOCT18/ga-learner-dsmp-repo | a5c4b13b84115a66190c344def3b30bb926a3ca5 | [
"MIT"
] | null | null | null | High-Rated-Games-on-Google-Playstore--EDA-&-Data-Preprocessing/code.py | DSOCT18/ga-learner-dsmp-repo | a5c4b13b84115a66190c344def3b30bb926a3ca5 | [
"MIT"
] | null | null | null | # --------------
#Importing header files
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
data=pd.read_csv(path)
#Code starts here
data['Rating'].plot.hist()
plt.show()
data=data[data['Rating']<=5]
data['Rating'].plot.hist()
plt.show()
#Code ends here
# --------------
# code starts here
to... | 25.809524 | 144 | 0.713407 | # --------------
#Importing header files
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
data=pd.read_csv(path)
#Code starts here
data['Rating'].plot.hist()
plt.show()
data=data[data['Rating']<=5]
data['Rating'].plot.hist()
plt.show()
#Code ends here
# --------------
# code starts here
to... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 |
1835788957303e86c385fcde03b31b03a12f7f19 | 2,535 | py | Python | sysinv/sysinv/sysinv/sysinv/db/sqlalchemy/migrate_repo/versions/117_kube_update_rootca_tables.py | albailey/config | 40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9 | [
"Apache-2.0"
] | 10 | 2020-02-07T18:57:44.000Z | 2021-09-11T10:29:34.000Z | sysinv/sysinv/sysinv/sysinv/db/sqlalchemy/migrate_repo/versions/117_kube_update_rootca_tables.py | albailey/config | 40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9 | [
"Apache-2.0"
] | 1 | 2021-01-14T12:01:55.000Z | 2021-01-14T12:01:55.000Z | sysinv/sysinv/sysinv/sysinv/db/sqlalchemy/migrate_repo/versions/117_kube_update_rootca_tables.py | albailey/config | 40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9 | [
"Apache-2.0"
] | 10 | 2020-10-13T08:37:46.000Z | 2022-02-09T00:21:25.000Z | #
# Copyright (c) 2020 Intel Corporation, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from sqlalchemy import Column
from sqlalchemy import DateTime
from sqlalchemy import ForeignKey
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import String
from sqlalchemy import Table
from sqlalch... | 28.806818 | 74 | 0.650099 | #
# Copyright (c) 2020 Intel Corporation, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from sqlalchemy import Column
from sqlalchemy import DateTime
from sqlalchemy import ForeignKey
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import String
from sqlalchemy import Table
from sqlalch... | 0 | 0 | 0 | 0 | 0 | 227 | 0 | 0 | 23 |
fa1bb1adaf4391a9941c8819871b1a56b1b55821 | 6,157 | py | Python | src/explanation/Global/SurrogateModelExplanation.py | MauroLuzzatto/algorithmic-explanations | 4a362ae9576cc68ecf4b61dd6bad2105ff62bf57 | [
"Apache-2.0"
] | null | null | null | src/explanation/Global/SurrogateModelExplanation.py | MauroLuzzatto/algorithmic-explanations | 4a362ae9576cc68ecf4b61dd6bad2105ff62bf57 | [
"Apache-2.0"
] | null | null | null | src/explanation/Global/SurrogateModelExplanation.py | MauroLuzzatto/algorithmic-explanations | 4a362ae9576cc68ecf4b61dd6bad2105ff62bf57 | [
"Apache-2.0"
] | null | null | null | """
Created on Tue Nov 24 21:41:40 2020
@author: mauro
"""
import pandas as pd
if __name__ == "__main__":
from sklearn.datasets import load_diabetes
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import train_test_split
diabetes = load_diabetes()
X_train, X_va... | 30.939698 | 212 | 0.621407 | """
Created on Tue Nov 24 21:41:40 2020
@author: mauro
"""
import os
from typing import Dict
import graphviz
import pandas as pd
from sklearn.tree import DecisionTreeRegressor
from explanation.ExplanationBase import ExplanationBase
from explanation.Global.SurrogatePlot import SurrogatePlot
from explanation.Global.Su... | 0 | 0 | 0 | 4,966 | 0 | 0 | 0 | 117 | 179 |
382a66090cbc637de5dba15c667706de81f23deb | 6,184 | py | Python | tools/fileinfo/features/hashes/test.py | stepanek-m/retdec-regression-tests | 12b834b14ede2826fec451368fa8192ab00ddadf | [
"MIT"
] | null | null | null | tools/fileinfo/features/hashes/test.py | stepanek-m/retdec-regression-tests | 12b834b14ede2826fec451368fa8192ab00ddadf | [
"MIT"
] | null | null | null | tools/fileinfo/features/hashes/test.py | stepanek-m/retdec-regression-tests | 12b834b14ede2826fec451368fa8192ab00ddadf | [
"MIT"
] | null | null | null |
# https://github.com/avast-tl/retdec/issues/246
# Test for ordinals that are translated by YARA/pefile LUT.
# https://github.com/avast-tl/retdec/issues/246
# Test for ordinals that are NOT translated by YARA/pefile LUT.
# https://github.com/avast-tl/retdec/issues/121
# Test export hashes for PE format
# https://g... | 44.489209 | 157 | 0.717497 | from regression_tests import *
class TestAllHashes(Test):
settings = TestSettings(
tool='fileinfo',
input='input.ex',
args='--verbose --json'
)
def test_correctly_analyzes_input_file(self):
assert self.fileinfo.succeeded
self.assertEqual(self.fileinfo.output['impor... | 0 | 0 | 0 | 5,463 | 0 | 0 | 0 | 9 | 200 |
1fa5faf6bbace23e616e3ce02efd35eb93ca8bca | 5,750 | py | Python | strange_case/support/jinja.py | colinta/StrangeCase | 822634d986020bc35d49f5355ec4823690372cd5 | [
"BSD-2-Clause-FreeBSD"
] | 10 | 2015-11-05T01:38:29.000Z | 2021-06-09T06:35:27.000Z | strange_case/support/jinja.py | colinta/StrangeCase | 822634d986020bc35d49f5355ec4823690372cd5 | [
"BSD-2-Clause-FreeBSD"
] | 9 | 2019-07-17T15:21:43.000Z | 2021-09-08T01:08:00.000Z | strange_case/support/jinja.py | colinta/StrangeCase | 822634d986020bc35d49f5355ec4823690372cd5 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-06-01T01:51:22.000Z | 2017-03-16T00:11:39.000Z | """
Jinja support adds the following abilities:
1. Adds a ``YamlFrontMatterLoader``, which searchs the beginning of the file for
YAML between two lines of an equal number of three or more dashes.
These lines are stripped off before rendering.
2. Jinja has nice support for displaying errors, but the YAML front m... | 38.333333 | 107 | 0.654957 | """
Jinja support adds the following abilities:
1. Adds a ``YamlFrontMatterLoader``, which searchs the beginning of the file for
YAML between two lines of an equal number of three or more dashes.
These lines are stripped off before rendering.
2. Jinja has nice support for displaying errors, but the YAML front m... | 0 | 1,468 | 0 | 2,653 | 0 | 0 | 0 | 41 | 158 |
47d85faea5c883a5e1d6fa08edc7df5a87431f15 | 975 | py | Python | plots/histogram_by_vars.py | carolmb/viewing-profiles-of-scientific-articles | 6a9248ea0dc458488b7f1556f358692529d2faf6 | [
"Unlicense"
] | null | null | null | plots/histogram_by_vars.py | carolmb/viewing-profiles-of-scientific-articles | 6a9248ea0dc458488b7f1556f358692529d2faf6 | [
"Unlicense"
] | null | null | null | plots/histogram_by_vars.py | carolmb/viewing-profiles-of-scientific-articles | 6a9248ea0dc458488b7f1556f358692529d2faf6 | [
"Unlicense"
] | null | null | null | import matplotlib.pyplot as plt
from read_file import select_original_breakpoints
from collections import defaultdict
if __name__ == '__main__':
N = 5
slopes, intervals = select_original_breakpoints(N, 'segm/segmented_curves_filtered.txt')
slopes_hist = defaultdict(lambda: [])
intervals_hist = defaul... | 30.46875 | 92 | 0.630769 | import matplotlib.pyplot as plt
from read_file import select_original_breakpoints
from collections import defaultdict
if __name__ == '__main__':
N = 5
slopes, intervals = select_original_breakpoints(N, 'segm/segmented_curves_filtered.txt')
slopes_hist = defaultdict(lambda: [])
intervals_hist = defaul... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4718604bd73bed2d3cac8b729d35b99f89e7762c | 1,127 | py | Python | helper.py | ai-xiaotong/face-benchmark | 4a4a336be6df72699120d6f0a4b7160904375cb0 | [
"MIT"
] | 1 | 2020-04-20T02:19:54.000Z | 2020-04-20T02:19:54.000Z | helper.py | ai-xiaotong/face-benchmark | 4a4a336be6df72699120d6f0a4b7160904375cb0 | [
"MIT"
] | null | null | null | helper.py | ai-xiaotong/face-benchmark | 4a4a336be6df72699120d6f0a4b7160904375cb0 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
| 29.657895 | 77 | 0.580302 | # -*- coding:utf-8 -*-
import base64
import numpy as np
def b64encode_image(path):
with open(path, 'rb') as f:
return base64.b64encode(f.read())
def roc(gts, scores, start=0.10, stop=0.60, step=0.001):
FARs, TARs, THs = [], [], []
for TH in np.arange(start, stop, step):
# FA, FN, TA, TN ... | 0 | 0 | 0 | 0 | 0 | 1,000 | 0 | -11 | 113 |
df701f2d105b1708eb401f9c85266218d6c91b8a | 3,082 | py | Python | myprodigy/filters.py | acdh-oeaw/nerdpool | fd03148797e13fb815164da5a6f9a8f27a873cbd | [
"MIT"
] | null | null | null | myprodigy/filters.py | acdh-oeaw/nerdpool | fd03148797e13fb815164da5a6f9a8f27a873cbd | [
"MIT"
] | 3 | 2021-03-30T09:41:55.000Z | 2021-06-10T07:52:29.000Z | myprodigy/filters.py | acdh-oeaw/nerdpool | fd03148797e13fb815164da5a6f9a8f27a873cbd | [
"MIT"
] | null | null | null | # generated by appcreator
| 30.514851 | 74 | 0.623621 | # generated by appcreator
import django_filters
from django import forms
from dal import autocomplete
from vocabs.filters import generous_concept_filter
from vocabs.models import SkosConcept
from .models import (
NerDataSet,
NerSample,
Dataset,
Example,
ProdigyServer)
class NerDataSetListFilter(... | 0 | 0 | 0 | 2,721 | 0 | 0 | 0 | 131 | 203 |
996e98649bd1c0fcdd10a1cf00a85529b17d2699 | 8,683 | py | Python | quantus/helpers/asserts.py | sebastian-lapuschkin/Quantus | c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f | [
"MIT"
] | null | null | null | quantus/helpers/asserts.py | sebastian-lapuschkin/Quantus | c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f | [
"MIT"
] | null | null | null | quantus/helpers/asserts.py | sebastian-lapuschkin/Quantus | c3b8a9fb2018f34bd89ba38efa2b2b8c38128b3f | [
"MIT"
] | null | null | null | import numpy as np
from typing import Tuple
def assert_model_predictions_deviations(
y_pred: float, y_pred_perturb: float, threshold: float = 0.01
):
"""Check that model predictions does not deviate more than a given threshold."""
if abs(y_pred - y_pred_perturb) > threshold:
return True
else:... | 37.266094 | 116 | 0.636186 | import numpy as np
from typing import Callable, Tuple, Union
def attributes_check(metric):
# https://towardsdatascience.com/5-ways-to-control-attributes-in-python-an-example-led-guide-2f5c9b8b1fb0
attr = metric.__dict__
if "perturb_func" in attr:
if not callable(attr["perturb_func"]):
... | 0 | 0 | 0 | 0 | 0 | 2,050 | 0 | 17 | 138 |
3fc3e9f3b2734409dcca83f3085ff6d769cb2068 | 932 | py | Python | tupianpaqu.py | smithgoo/python3Learn | d0c066c10887db3942ca285b86ce464463998aad | [
"MIT"
] | 1 | 2019-05-30T08:08:34.000Z | 2019-05-30T08:08:34.000Z | tupianpaqu.py | smithgoo/python3Learn | d0c066c10887db3942ca285b86ce464463998aad | [
"MIT"
] | null | null | null | tupianpaqu.py | smithgoo/python3Learn | d0c066c10887db3942ca285b86ce464463998aad | [
"MIT"
] | null | null | null | import re
import urllib
headers ={"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1","Referer": "http://fanyi.baidu.com/translate?aldtype=16047&query=&keyfrom=baidu&smartresult=dict&lang=auto2zh"}
url ='http://www.mei... | 24.526316 | 273 | 0.671674 | import requests
import re
import urllib
from lxml import etree
from bs4 import BeautifulSoup
headers ={"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1","Referer": "http://fanyi.baidu.com/translate?aldtype=16047&quer... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 66 |
73ce7ef8ed248550dfab3bc0f0a69940c43f962b | 1,083 | py | Python | cuenca/resources/sessions.py | andreshndz/cuenca-python | ca9f0f078584f1458e71baeb4cd15fcc55b40397 | [
"MIT"
] | null | null | null | cuenca/resources/sessions.py | andreshndz/cuenca-python | ca9f0f078584f1458e71baeb4cd15fcc55b40397 | [
"MIT"
] | null | null | null | cuenca/resources/sessions.py | andreshndz/cuenca-python | ca9f0f078584f1458e71baeb4cd15fcc55b40397 | [
"MIT"
] | null | null | null |
from .. import http
| 25.785714 | 74 | 0.660203 | import datetime as dt
from typing import ClassVar, Optional, cast
from cuenca_validations.types import SessionRequest, SessionType
from pydantic import AnyUrl
from pydantic.dataclasses import dataclass
from .. import http
from .base import Creatable, Queryable, Retrievable
@dataclass
class Session(Creatable, Retrie... | 0 | 783 | 0 | 0 | 0 | 0 | 0 | 122 | 156 |
8269437bef9cc43ad86c3a68364cb0485afec37e | 7,132 | py | Python | statsd_rabbitmq/utils.py | fake-name/statsd-rabbitmq | 2d6193862551085654f4e6a3b600e5dd6f86d37c | [
"Apache-2.0"
] | null | null | null | statsd_rabbitmq/utils.py | fake-name/statsd-rabbitmq | 2d6193862551085654f4e6a3b600e5dd6f86d37c | [
"Apache-2.0"
] | null | null | null | statsd_rabbitmq/utils.py | fake-name/statsd-rabbitmq | 2d6193862551085654f4e6a3b600e5dd6f86d37c | [
"Apache-2.0"
] | null | null | null | # -*- coding: iso-8859-15 -*-
# Copyright (c) 2014 The New York Times Company
#
# 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 re... | 31.982063 | 119 | 0.581884 | # -*- coding: iso-8859-15 -*-
# Copyright (c) 2014 The New York Times Company
#
# 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 re... | 0 | 398 | 0 | 3,063 | 0 | 0 | 0 | 0 | 137 |
400eaf28ca8f72e61fb7e5a13a81f9035fb62aca | 3,051 | py | Python | candidate_matching/benchmarks/CML/main.py | jimzhu/OpenCTR-benchmarks | e8e723cd7a0ef5ddd40e735b85ce7669955a3a99 | [
"Apache-2.0"
] | 59 | 2021-10-31T13:59:37.000Z | 2022-03-31T12:05:55.000Z | candidate_matching/benchmarks/CML/main.py | jimzhu/OpenCTR-benchmarks | e8e723cd7a0ef5ddd40e735b85ce7669955a3a99 | [
"Apache-2.0"
] | 5 | 2021-12-06T12:11:21.000Z | 2022-03-18T06:21:13.000Z | candidate_matching/benchmarks/CML/main.py | jimzhu/OpenCTR-benchmarks | e8e723cd7a0ef5ddd40e735b85ce7669955a3a99 | [
"Apache-2.0"
] | 17 | 2021-10-21T10:44:09.000Z | 2022-03-24T11:35:09.000Z | import sys
sys.path.append("../../external/CollMetric/")
import numpy as np
import tensorflow as tf
import os
from datetime import datetime
from sampler import WarpSampler
from CML_utils import Monitor, parse_args, dataset_to_uimatrix
from CML import CML, optimize
if __name__ == '__main__':
args = parse_args()
... | 44.867647 | 116 | 0.639135 | import sys
sys.path.append("../../external/CollMetric/")
import numpy as np
import tensorflow as tf
import os
from datetime import datetime
from sampler import WarpSampler
from CML_utils import Evaluator, Monitor, parse_args, dataset_to_uimatrix
from CML import CML, optimize
if __name__ == '__main__':
args = pars... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
04747478c722ad5dd0a34299f99bd45a70b0f364 | 404 | py | Python | Barras.py | ByronEncinas/Aprendo-Python | 4ab3fa6593ec75ce52139235014b53ff1c77f775 | [
"CC0-1.0"
] | null | null | null | Barras.py | ByronEncinas/Aprendo-Python | 4ab3fa6593ec75ce52139235014b53ff1c77f775 | [
"CC0-1.0"
] | null | null | null | Barras.py | ByronEncinas/Aprendo-Python | 4ab3fa6593ec75ce52139235014b53ff1c77f775 | [
"CC0-1.0"
] | null | null | null | import matplotlib.pyplot as plt
x = [1,2,3]
y = [1,2,1]
yerrormin = [0.1,0.5,0.9]
yerrormax = [0.2,0.4,0.6]
xerror = 0.5
yerror = [yerrormin, yerrormax]
plt.plot(x,y,'o')
plt.errorbar(x,y,yerr=yerror, xerr=xerror, fmt='o', ecolor='black',elinewidth=2, capsize=5,capthick=2, barsabove=False, errorevery=1, lolims=False... | 25.25 | 216 | 0.670792 | import matplotlib.pyplot as plt
x = [1,2,3]
y = [1,2,1]
yerrormin = [0.1,0.5,0.9]
yerrormax = [0.2,0.4,0.6]
xerror = 0.5
yerror = [yerrormin, yerrormax]
plt.plot(x,y,'o')
plt.errorbar(x,y,yerr=yerror, xerr=xerror, fmt='o', ecolor='black',elinewidth=2, capsize=5,capthick=2, barsabove=False, errorevery=1, lolims=False... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6ecb57ef2a041c906a4a4705f0dce689c201b5c0 | 973 | py | Python | examples/capture_average.py | shiqi1994/EasyPySpin | 4b44745dfbf06a9790f166137de03a95a1ff7f62 | [
"MIT"
] | 47 | 2019-12-03T14:01:16.000Z | 2022-03-19T13:07:09.000Z | examples/capture_average.py | shiqi1994/EasyPySpin | 4b44745dfbf06a9790f166137de03a95a1ff7f62 | [
"MIT"
] | 6 | 2020-03-31T07:28:49.000Z | 2021-10-06T00:14:40.000Z | examples/capture_average.py | shiqi1994/EasyPySpin | 4b44745dfbf06a9790f166137de03a95a1ff7f62 | [
"MIT"
] | 10 | 2020-04-29T08:58:55.000Z | 2022-03-17T10:48:33.000Z | """
Example of capturing the average image width VideoCaptureEX class.
The averaged image can reduce random noise.
"""
if __name__ == "__main__":
main()
| 23.731707 | 66 | 0.567318 | """
Example of capturing the average image width VideoCaptureEX class.
The averaged image can reduce random noise.
"""
import EasyPySpin
import cv2
def main():
cap = EasyPySpin.VideoCaptureEX(0)
cap.average_num = 3
print("Press key to change average number")
print("k : average_num += 1")
print("j... | 0 | 0 | 0 | 0 | 0 | 761 | 0 | -15 | 67 |
49bd0217dfbd28b4282b652b446ae18299b6f397 | 2,036 | py | Python | ovn_octavia_provider/common/utils.py | wpexia/ovn-octavia-provider | e9bf916b928005ee232a637e5e49d829cc84f074 | [
"Apache-2.0"
] | 5 | 2020-02-24T13:25:50.000Z | 2021-11-20T11:33:02.000Z | ovn_octavia_provider/common/utils.py | openstack/ovn-octavia-provider | f257fc1a2411c22c07b6cf5b53fc86e5c8449b69 | [
"Apache-2.0"
] | null | null | null | ovn_octavia_provider/common/utils.py | openstack/ovn-octavia-provider | f257fc1a2411c22c07b6cf5b53fc86e5c8449b69 | [
"Apache-2.0"
] | 1 | 2021-11-29T14:18:33.000Z | 2021-11-29T14:18:33.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 39.153846 | 79 | 0.680747 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 0 | 0 | 0 | 0 | 0 | 754 | 0 | 28 | 69 |
38fb100fd5469fdaa8ba317319958d95e5d35297 | 220 | py | Python | 09_07_pr_03.py | Madhav2204/Python-vs-code | 6b845573f6e9f77cccf8f67913ad4de05da6593c | [
"Apache-2.0"
] | null | null | null | 09_07_pr_03.py | Madhav2204/Python-vs-code | 6b845573f6e9f77cccf8f67913ad4de05da6593c | [
"Apache-2.0"
] | null | null | null | 09_07_pr_03.py | Madhav2204/Python-vs-code | 6b845573f6e9f77cccf8f67913ad4de05da6593c | [
"Apache-2.0"
] | null | null | null |
for i in range(2, 21):
with open(f"tables/Multiplication_table_of_{i}.txt", 'w') as f:
for j in range(1, 11):
f.write(f"{i}X{j}={i*j}")
if j!=10:
f.write('\n')
| 27.5 | 68 | 0.45 |
for i in range(2, 21):
with open(f"tables/Multiplication_table_of_{i}.txt", 'w') as f:
for j in range(1, 11):
f.write(f"{i}X{j}={i*j}")
if j!=10:
f.write('\n')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7b0cad841a7189c7e9e46e0d48da08f50ba54688 | 3,675 | py | Python | agent/ip_traffic.py | irtlab/netmon | e85d342dd6b228db61cfffb20425f7e10f7f4d11 | [
"MIT"
] | null | null | null | agent/ip_traffic.py | irtlab/netmon | e85d342dd6b228db61cfffb20425f7e10f7f4d11 | [
"MIT"
] | 2 | 2021-10-10T18:53:56.000Z | 2021-10-10T18:57:55.000Z | agent/ip_traffic.py | irtlab/netmon | e85d342dd6b228db61cfffb20425f7e10f7f4d11 | [
"MIT"
] | null | null | null | """
Module Name:
ip_traffic.py
Description:
Module provides functionality to monitor IP traffic.
Authors:
Columbia University, the Internet Real-Time Lab (IRT Lab). 2018-2019.
"""
import random
from scapy.all import sniff
from datetime import datetime
def run_ip_traffic_monitor(db_connection, net_interf... | 31.956522 | 138 | 0.690884 | """
Module Name:
ip_traffic.py
Description:
Module provides functionality to monitor IP traffic.
Authors:
Columbia University, the Internet Real-Time Lab (IRT Lab). 2018-2019.
"""
import random
import db
import utils
from scapy.all import sniff
from datetime import datetime
def run_ip_traffic_monitor(d... | 0 | 0 | 0 | 0 | 0 | 1,380 | 0 | -21 | 69 |
45506584e6b50e487886121cf454285748787970 | 8,378 | py | Python | iota_dust_manager/__init__.py | F-Node-Karlsruhe/iota-dust-manager | b84d89583536bd2e7408d7963468c29a02a36351 | [
"MIT"
] | null | null | null | iota_dust_manager/__init__.py | F-Node-Karlsruhe/iota-dust-manager | b84d89583536bd2e7408d7963468c29a02a36351 | [
"MIT"
] | null | null | null | iota_dust_manager/__init__.py | F-Node-Karlsruhe/iota-dust-manager | b84d89583536bd2e7408d7963468c29a02a36351 | [
"MIT"
] | null | null | null | """
iota-dust-manager
A thread safe, stateless python package that manages your receiving dust address.
"""
__version__ = "0.1.5"
__author__ = 'F-Node-Karlsruhe'
IOTA_DUST = 1_000_000
IOTA_PER_DUST_TRANSACTION = 100_000
| 33.782258 | 128 | 0.602769 | """
iota-dust-manager
A thread safe, stateless python package that manages your receiving dust address.
"""
__version__ = "0.1.5"
__author__ = 'F-Node-Karlsruhe'
import iota_client
import threading
IOTA_DUST = 1_000_000
IOTA_PER_DUST_TRANSACTION = 100_000
class DustManager:
"""Create a DustManager.
:par... | 0 | 0 | 0 | 8,092 | 0 | 0 | 0 | -8 | 68 |
891266c2049e537dbf28b17dc4743d6e9dcd1619 | 63 | py | Python | problem/10000~19999/16204/16204.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 1 | 2019-04-19T16:37:44.000Z | 2019-04-19T16:37:44.000Z | problem/10000~19999/16204/16204.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 1 | 2019-04-20T11:42:44.000Z | 2019-04-20T11:42:44.000Z | problem/10000~19999/16204/16204.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 3 | 2019-04-19T16:37:47.000Z | 2021-10-25T00:45:00.000Z | n,m,k=map(int,input().split())
a=min(m,k)+min(n-m,n-k)
print(a) | 21 | 30 | 0.603175 | n,m,k=map(int,input().split())
a=min(m,k)+min(n-m,n-k)
print(a) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e3d1fbc0b4b3c9b4f0fa5d33b7fa14433aaefb99 | 28 | py | Python | reports/__init__.py | OdooTestNet/School-Mangement | 3c613a2ecdb88965d847acd294e70a875f5af5e2 | [
"Unlicense"
] | null | null | null | reports/__init__.py | OdooTestNet/School-Mangement | 3c613a2ecdb88965d847acd294e70a875f5af5e2 | [
"Unlicense"
] | null | null | null | reports/__init__.py | OdooTestNet/School-Mangement | 3c613a2ecdb88965d847acd294e70a875f5af5e2 | [
"Unlicense"
] | null | null | null | # from.import invoice_report | 28 | 28 | 0.857143 | # from.import invoice_report | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
94a5bb68f3af932c62cbeb6c6ef25fd7ad126819 | 3,956 | py | Python | edapy/utils.py | Arc-rendezvous/edapy | a6d4b61dd97d320586afbc4fc51ed4ad112b453b | [
"Apache-2.0"
] | 1 | 2021-06-16T04:12:27.000Z | 2021-06-16T04:12:27.000Z | edapy/utils.py | Arc-rendezvous/edapy | a6d4b61dd97d320586afbc4fc51ed4ad112b453b | [
"Apache-2.0"
] | null | null | null | edapy/utils.py | Arc-rendezvous/edapy | a6d4b61dd97d320586afbc4fc51ed4ad112b453b | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
def lookup_date(s):
"""
This is an extremely fast approach to datetime parsing.
For large data, the same dates are often repeated. Rather than
re-parse these, we store all unique dates, parse them, and
use a lookup to convert all dates.
Example: df['dat... | 28.257143 | 81 | 0.471436 | import numpy as np
import pandas as pd
def batch(l, b=1, n=None):
"""
Create batch from iterable.
Parameters
----------
l : list
list to create batches from
b : int, optional, [default = 1]
batch size
n : int, optional, [default = None]
if None: len(batches[-1]) < ... | 0 | 0 | 0 | 0 | 1,288 | 1,503 | 0 | 0 | 69 |
258f55403b2af51184eef7df2d5ca098459ebf9d | 15,020 | py | Python | gluonnlp/data/stream.py | indhub/gluon-nlp | 15b1acfa3e126805b742770a73141b4ebdec0c10 | [
"Apache-2.0"
] | null | null | null | gluonnlp/data/stream.py | indhub/gluon-nlp | 15b1acfa3e126805b742770a73141b4ebdec0c10 | [
"Apache-2.0"
] | null | null | null | gluonnlp/data/stream.py | indhub/gluon-nlp | 15b1acfa3e126805b742770a73141b4ebdec0c10 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 42.191011 | 100 | 0.621505 | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | 0 | 0 | 0 | 13,609 | 0 | 0 | 0 | 25 | 272 |
f338190f82c8bacc5a16386a0b00eed7292b055a | 1,686 | py | Python | services_portal_site/middleware.py | cedadev/ceda-services-portal | 5c9637a598018f73fce05640e596b5ece3250382 | [
"BSD-3-Clause"
] | null | null | null | services_portal_site/middleware.py | cedadev/ceda-services-portal | 5c9637a598018f73fce05640e596b5ece3250382 | [
"BSD-3-Clause"
] | 38 | 2021-01-21T14:36:09.000Z | 2022-03-21T12:38:44.000Z | services_portal_site/middleware.py | cedadev/ceda-services-portal | 5c9637a598018f73fce05640e596b5ece3250382 | [
"BSD-3-Clause"
] | null | null | null | '''
Created on Oct 11, 2017
@author: William Tucker
'''
import logging
logger = logging.getLogger(__name__)
| 27.193548 | 79 | 0.596679 | '''
Created on Oct 11, 2017
@author: William Tucker
'''
import logging
from django.conf import settings
from django.contrib.auth import logout, login, get_user_model
logger = logging.getLogger(__name__)
class LoginMiddleware():
"""
Middleware that checks for a valid login in the request
and logs the ... | 0 | 0 | 0 | 1,454 | 0 | 0 | 0 | 51 | 68 |
eb6bd83eb366077f5703c83ef5e921b864665245 | 252 | py | Python | model/case/__init__.py | waaaaaaz/TestRelay2 | 220d85fb0f53e468c5216336147609d5337cfb1c | [
"MIT"
] | null | null | null | model/case/__init__.py | waaaaaaz/TestRelay2 | 220d85fb0f53e468c5216336147609d5337cfb1c | [
"MIT"
] | 1 | 2021-06-02T02:40:03.000Z | 2021-06-02T02:40:03.000Z | model/case/__init__.py | waaaaaaz/TestRelay2 | 220d85fb0f53e468c5216336147609d5337cfb1c | [
"MIT"
] | null | null | null | # coding: utf-8 | 42 | 60 | 0.865079 | # coding: utf-8
from sqkb_api_testing.model.case.http_case import HttpCase
from sqkb_api_testing.model.case.mysql_case import MySQLCase
from sqkb_api_testing.model.case.rpc_case import RPCCase
from sqkb_api_testing.model.case.wait_case import WaitCase | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 89 |
3d752da8179f9983b0c606bd89594a3cf8544e1c | 4,610 | py | Python | ctt-server/plugins/jmeter.py | pjakovits/radon-ctt | 8c73e05a83ef66bd6e9dba6608d2bee089df7e86 | [
"Apache-2.0"
] | null | null | null | ctt-server/plugins/jmeter.py | pjakovits/radon-ctt | 8c73e05a83ef66bd6e9dba6608d2bee089df7e86 | [
"Apache-2.0"
] | null | null | null | ctt-server/plugins/jmeter.py | pjakovits/radon-ctt | 8c73e05a83ef66bd6e9dba6608d2bee089df7e86 | [
"Apache-2.0"
] | null | null | null |
name = 'JMeter'
plugin_name = 'jmeter'
plugin_type = 'radon.policies.testing.JMeterLoadTest'
"""
'SimpleJMeterLoadTest': {
'type': 'radon.policies.testing.JMeterLoadTest',
'properties': {
'jmx_file': 'sockshop.jmx',
'hostname': 'localhost',
'port': 8080,
'ti_blueprint': 'radon.... | 41.531532 | 119 | 0.680043 | import os
import requests
import shutil
import tempfile
from zipfile import ZipFile, ZIP_DEFLATED
from flask import current_app
name = 'JMeter'
plugin_name = 'jmeter'
plugin_type = 'radon.policies.testing.JMeterLoadTest'
"""
'SimpleJMeterLoadTest': {
'type': 'radon.policies.testing.JMeterLoadTest',
'properti... | 0 | 0 | 0 | 0 | 0 | 3,942 | 0 | -4 | 202 |
dfe5fdb549f6913a6b90b0e9c398de0445d239a1 | 2,418 | py | Python | built_ins/xml_bins.py | chainren/python-learn | 5e48e96c4bb212806b9ae0954fdb368abdcf9ba3 | [
"Apache-2.0"
] | null | null | null | built_ins/xml_bins.py | chainren/python-learn | 5e48e96c4bb212806b9ae0954fdb368abdcf9ba3 | [
"Apache-2.0"
] | 16 | 2020-02-12T03:09:30.000Z | 2022-03-12T00:08:59.000Z | built_ins/xml_bins.py | chainren/python-learn | 5e48e96c4bb212806b9ae0954fdb368abdcf9ba3 | [
"Apache-2.0"
] | null | null | null | # -- coding: utf-8 --
# xml dom sax
from xml.parsers.expat import ParserCreate
xml = r'''<?xml version="1.0"?>
<ol>
<li><a href="/python">Python</a></li>
<li><a href="/ruby">Ruby</a></li>
</ol>
'''
handler = DefaultSaxHandler()
parser = ParserCreate()
parser.StartElementHandler = handler.start_element
parse... | 23.475728 | 134 | 0.607527 | # -- coding: utf-8 --
# xml解析 dom sax
from xml.parsers.expat import ParserCreate
from urllib import request
class DefaultSaxHandler(object):
def start_element(self, name, attrs):
print('sax:start_element:%s, attrs:%s' %(name, attrs))
def end_element(self, name):
print('sax:end_element:%s' % ... | 102 | 0 | 0 | 1,643 | 0 | 0 | 0 | 5 | 91 |
879fbfb71879d697b60e7abf15683720ef573ef0 | 3,213 | py | Python | src/hypertrace/agent/instrumentation/instrumentation_definitions.py | hypertrace/pythonagent | 283e18c61807f4ae653d147be9ff1424b0b0a6eb | [
"Apache-2.0"
] | 4 | 2021-05-19T16:16:26.000Z | 2022-01-16T04:48:43.000Z | src/hypertrace/agent/instrumentation/instrumentation_definitions.py | hypertrace/pythonagent | 283e18c61807f4ae653d147be9ff1424b0b0a6eb | [
"Apache-2.0"
] | 48 | 2021-04-27T07:25:48.000Z | 2021-08-30T21:27:27.000Z | src/hypertrace/agent/instrumentation/instrumentation_definitions.py | hypertrace/pythonagent | 283e18c61807f4ae653d147be9ff1424b0b0a6eb | [
"Apache-2.0"
] | null | null | null | '''this module acts as a driver for instrumentation definitions + application'''
import logging
FLASK_KEY = 'flask'
DJANGO_KEY = 'django'
GRPC_SERVER_KEY = 'grpc:server'
GRPC_CLIENT_KEY = 'grpc:client'
POSTGRESQL_KEY = 'postgresql'
MYSQL_KEY = 'mysql'
REQUESTS_KEY = 'requests'
AIOHTTP_CLIENT_KEY = 'aiohttp:client'
SU... | 43.418919 | 119 | 0.746343 | '''this module acts as a driver for instrumentation definitions + application'''
import logging
FLASK_KEY = 'flask'
DJANGO_KEY = 'django'
GRPC_SERVER_KEY = 'grpc:server'
GRPC_CLIENT_KEY = 'grpc:client'
POSTGRESQL_KEY = 'postgresql'
MYSQL_KEY = 'mysql'
REQUESTS_KEY = 'requests'
AIOHTTP_CLIENT_KEY = 'aiohttp:client'
SU... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f4593a136b97d74fec18e88bcca01b09dbeef96e | 4,370 | py | Python | opaal/opaal/distributed/termination_detection.py | sen-uni-kn/tartar | 5148f8737ab39c09aa0ca4907b1af7c44cf8b8a0 | [
"MIT"
] | null | null | null | opaal/opaal/distributed/termination_detection.py | sen-uni-kn/tartar | 5148f8737ab39c09aa0ca4907b1af7c44cf8b8a0 | [
"MIT"
] | null | null | null | opaal/opaal/distributed/termination_detection.py | sen-uni-kn/tartar | 5148f8737ab39c09aa0ca4907b1af7c44cf8b8a0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
### BEGIN LICENSE
# Copyright (C) 2010 Mads Chr. Olesen <mchro@cs.aau.dk>
#This program is free software: you can redistribute it and/or modify it
#under the terms of the GNU General Public License version 3, as published
#by the Free Software Foundation.
#
#This program is distributed in the ... | 38.672566 | 127 | 0.670023 | # -*- coding: utf-8 -*-
### BEGIN LICENSE
# Copyright (C) 2010 Mads Chr. Olesen <mchro@cs.aau.dk>
#This program is free software: you can redistribute it and/or modify it
#under the terms of the GNU General Public License version 3, as published
#by the Free Software Foundation.
#
#This program is distributed in the ... | 0 | 0 | 0 | 3,417 | 0 | 0 | 0 | -4 | 68 |
525113a09e66f512f8fe22c9ef30a7225bfb764d | 2,144 | py | Python | alarmClock/windows/newAlarm.py | Eric-The-Read/alarmClock | 70623cac3f13de48c5eeeb8ed6264ad3a8d49f4e | [
"MIT"
] | null | null | null | alarmClock/windows/newAlarm.py | Eric-The-Read/alarmClock | 70623cac3f13de48c5eeeb8ed6264ad3a8d49f4e | [
"MIT"
] | null | null | null | alarmClock/windows/newAlarm.py | Eric-The-Read/alarmClock | 70623cac3f13de48c5eeeb8ed6264ad3a8d49f4e | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
from alarmClock.clock import Clock
from alarmClock.settings import dayList, hourList, minuteList, periodList, clocks
def newAlarm():
'''Opens window to create a new alarm, and select days in which alarm plays.'''
layout = [
[
sg.Combo(hourList, size=(3, 1), key="-H... | 42.039216 | 134 | 0.507463 | import PySimpleGUI as sg
from alarmClock.clock import Clock
from alarmClock.settings import dayList, hourList, minuteList, periodList, clocks
def newAlarm():
'''Opens window to create a new alarm, and select days in which alarm plays.'''
layout = [
[
sg.Combo(hourList, size=(3, 1), key="-H... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |