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0ceeb3c1bfe04dffa13af9f7fbc8e2fc13284202 | 1,162 | py | Python | python/webserver.py | AndyQ/UbercornFrame | 721d6cf2dcf550e338ac2b03c52b116c72a7ba42 | [
"MIT"
] | 1 | 2020-04-21T20:01:23.000Z | 2020-04-21T20:01:23.000Z | python/webserver.py | AndyQ/UbercornFrame | 721d6cf2dcf550e338ac2b03c52b116c72a7ba42 | [
"MIT"
] | 3 | 2021-03-23T13:48:16.000Z | 2022-03-11T23:34:52.000Z | python/webserver.py | AndyQ/UbercornFrame | 721d6cf2dcf550e338ac2b03c52b116c72a7ba42 | [
"MIT"
] | null | null | null | import glob
from time import sleep
import threading
from queue import Queue
import web
from web.httpserver import StaticMiddleware
render = web.template.render('templates/')
dataQueue = None
def startWebServer( queue ):
global dataQueue
dataQueue = queue
wst = threading.Thread(target=initWebServer)
ws... | 21.127273 | 108 | 0.615318 |
85299d920077a4850dfb99307f29ce6e20a384da | 3,608 | py | Python | dashlivesim/tests/test_xlinkperiod.py | Dash-Industry-Forum/dash-live-source-simulator | 23cb15c35656a731d9f6d78a30f2713eff2ec20d | [
"BSD-3-Clause"
] | 133 | 2015-04-26T04:37:35.000Z | 2022-02-27T16:37:40.000Z | dashlivesim/tests/test_xlinkperiod.py | Mani5GRockers/dash-live-source-simulator | 747cb23ba130049fd01c6446533f8dc1d3e9f62a | [
"BSD-3-Clause"
] | 83 | 2015-05-18T07:56:07.000Z | 2022-01-26T16:09:25.000Z | dashlivesim/tests/test_xlinkperiod.py | Mani5GRockers/dash-live-source-simulator | 747cb23ba130049fd01c6446533f8dc1d3e9f62a | [
"BSD-3-Clause"
] | 49 | 2015-06-29T22:46:21.000Z | 2022-01-07T14:32:34.000Z | # The copyright in this software is being made available under the BSD License,
# included below. This software may be subject to other third party and contributor
# rights, including patent rights, and no such rights are granted under this license.
#
# Copyright (c) 2015, Dash Industry Forum.
# All rights reserved.
#
... | 50.816901 | 112 | 0.730876 |
e1298f705db0d744029895bd0e2dec1b9269382c | 567 | py | Python | core/webapi/judge_api.py | Ran350/DaaS | 947e9b9a738beb994c5e8f0369f2f0d6c3fe8354 | [
"MIT"
] | 1 | 2021-07-05T13:37:46.000Z | 2021-07-05T13:37:46.000Z | core/webapi/judge_api.py | Ran350/DaaS | 947e9b9a738beb994c5e8f0369f2f0d6c3fe8354 | [
"MIT"
] | null | null | null | core/webapi/judge_api.py | Ran350/DaaS | 947e9b9a738beb994c5e8f0369f2f0d6c3fe8354 | [
"MIT"
] | null | null | null | from flask import Blueprint
from flask_restful import Api
from .api import API
from core import engine
class JudgeAPI(API):
def _args_validation(self, args):
return 'dajare' in args
def _processing(self, args):
result = {
'is_dajare': None,
'applied_rule': None,
... | 21 | 70 | 0.645503 |
d84348a6446e6871eb5c15fd4c0146d5f65ff1fc | 15,308 | py | Python | gsflow/builder/builder_defaults.py | pygsflow/pygsflow | 83860cd58078017a65e1633b1192469777f1ce15 | [
"CC0-1.0",
"BSD-3-Clause"
] | 17 | 2019-11-11T02:49:29.000Z | 2022-02-17T03:45:19.000Z | gsflow/builder/builder_defaults.py | pygsflow/pygsflow | 83860cd58078017a65e1633b1192469777f1ce15 | [
"CC0-1.0",
"BSD-3-Clause"
] | 21 | 2019-07-10T21:45:11.000Z | 2022-02-22T17:57:20.000Z | gsflow/builder/builder_defaults.py | pygsflow/pygsflow | 83860cd58078017a65e1633b1192469777f1ce15 | [
"CC0-1.0",
"BSD-3-Clause"
] | 8 | 2019-11-11T02:49:36.000Z | 2021-09-30T18:43:45.000Z | try:
import simplejson as json
except ImportError:
import json
import os
class _DefaultsBase:
"""
Base class for all defaults classes. Not to be instantiated directly!
"""
def __init__(self, f=None):
if f is None:
ws = os.path.abspath(os.path.dirname(__file... | 28.191529 | 79 | 0.488699 |
a662d17fb950a370efb1586199c50b93fa61b04e | 2,406 | py | Python | week3-numpy_pandas/mini-project-1/scheduled_investment_sol.py | jixintong813/2021-march-bootcamp | 8bc2b1e2ec217927214e729c2409fb8470ea457e | [
"Apache-2.0"
] | 1 | 2021-07-27T14:17:10.000Z | 2021-07-27T14:17:10.000Z | week3-numpy_pandas/mini-project-1/scheduled_investment_sol.py | jixintong813/2021-march-bootcamp | 8bc2b1e2ec217927214e729c2409fb8470ea457e | [
"Apache-2.0"
] | 4 | 2021-07-31T13:05:53.000Z | 2021-08-21T05:58:53.000Z | week3-numpy_pandas/mini-project-1/scheduled_investment_sol.py | jixintong813/2021-march-bootcamp | 8bc2b1e2ec217927214e729c2409fb8470ea457e | [
"Apache-2.0"
] | 9 | 2021-07-24T15:05:21.000Z | 2021-08-05T13:55:56.000Z | # 注意 - Copy this file and rename as scheduled_investment_{first_name}.py then complete code with a PR.
# 注意 - Copy this file and rename as scheduled_investment_{first_name}.py then complete code with a PR.
# 注意 - Copy this file and rename as scheduled_investment_{first_name}.py then complete code with a PR.
""" DO NOT... | 30.075 | 102 | 0.658354 |
e27a57671e420c6f820abae48b087516b965ab40 | 12,111 | py | Python | venv/lib/python3.7/site-packages/PIL/EpsImagePlugin.py | alexzacher/BMI-Body-Mass-Index-Calculator-APP | f54473757992568b73b066d507059e1053357174 | [
"MIT"
] | 1,738 | 2017-09-21T10:59:12.000Z | 2022-03-31T21:05:46.000Z | dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/PIL/EpsImagePlugin.py | olivier-be/lumberyard | 3d688932f919dbf5821f0cb8a210ce24abe39e9e | [
"AML"
] | 427 | 2017-09-29T22:54:36.000Z | 2022-02-15T19:26:50.000Z | virtual/lib/python3.6/site-packages/PIL/EpsImagePlugin.py | dennismwaniki67/awards | 80ed10541f5f751aee5f8285ab1ad54cfecba95f | [
"MIT"
] | 671 | 2017-09-21T08:04:01.000Z | 2022-03-29T14:30:07.000Z | #
# The Python Imaging Library.
# $Id$
#
# EPS file handling
#
# History:
# 1995-09-01 fl Created (0.1)
# 1996-05-18 fl Don't choke on "atend" fields, Ghostscript interface (0.2)
# 1996-08-22 fl Don't choke on floating point BoundingBox values
# 1996-08-23 fl Handle files from Macintosh (0.3)
# 2001-02-17 fl ... | 28.835714 | 124 | 0.499876 |
5c2c95aa7fd868be27bacc36230d733750d04af1 | 2,477 | py | Python | Lib/irix5/cdplayer.py | AtjonTV/Python-1.4 | 2a80562c5a163490f444181cb75ca1b3089759ec | [
"Unlicense",
"TCL",
"DOC",
"AAL",
"X11"
] | null | null | null | Lib/irix5/cdplayer.py | AtjonTV/Python-1.4 | 2a80562c5a163490f444181cb75ca1b3089759ec | [
"Unlicense",
"TCL",
"DOC",
"AAL",
"X11"
] | null | null | null | Lib/irix5/cdplayer.py | AtjonTV/Python-1.4 | 2a80562c5a163490f444181cb75ca1b3089759ec | [
"Unlicense",
"TCL",
"DOC",
"AAL",
"X11"
] | null | null | null | # This file implements a class which forms an interface to the .cdplayerrc
# file that is maintained by SGI's cdplayer program.
#
# Usage is as follows:
#
# import readcd
# r = readcd.Readcd()
# c = Cdplayer(r.gettrackinfo())
#
# Now you can use c.artist, c.title and c.track[trackno] (where trackno
# starts at 1). Whe... | 27.522222 | 76 | 0.591038 |
b1d878e6c57d35a7c3e3912e7de49bc03b3ef598 | 38,894 | py | Python | tests/test_modeling_bart.py | voltek62/transformers | 8e2b318c3c0525f5adb8674d48104a2f401a1b5c | [
"Apache-2.0"
] | 3 | 2020-03-25T01:53:43.000Z | 2020-05-25T15:49:38.000Z | tests/test_modeling_bart.py | voltek62/transformers | 8e2b318c3c0525f5adb8674d48104a2f401a1b5c | [
"Apache-2.0"
] | null | null | null | tests/test_modeling_bart.py | voltek62/transformers | 8e2b318c3c0525f5adb8674d48104a2f401a1b5c | [
"Apache-2.0"
] | 1 | 2020-08-24T11:22:14.000Z | 2020-08-24T11:22:14.000Z | # coding=utf-8
# Copyright 2020 Huggingface
#
# 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 ... | 84.00432 | 7,208 | 0.735358 |
40dcf7c26e50c45d00cf2cc0da53e7140d8c3dfa | 8,925 | py | Python | jetscape_analysis/analysis/analyze_events_base_STAT.py | raymondEhlers/JETSCAPE-analysis | c650fac0f8bfc4a2efa9342d47531420daf54f35 | [
"BSD-3-Clause"
] | null | null | null | jetscape_analysis/analysis/analyze_events_base_STAT.py | raymondEhlers/JETSCAPE-analysis | c650fac0f8bfc4a2efa9342d47531420daf54f35 | [
"BSD-3-Clause"
] | null | null | null | jetscape_analysis/analysis/analyze_events_base_STAT.py | raymondEhlers/JETSCAPE-analysis | c650fac0f8bfc4a2efa9342d47531420daf54f35 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
""" Base class to analyze a JETSCAPE output file
You should create a user class that inherits from this one. See analyze_events_STAT.py for an example.
The outputdir should contain a JETSCAPE output file in parquet format
See README for pre-requisites.
.. codeauthor:: James Mulligan <james.m... | 39.317181 | 102 | 0.549132 |
fe344e382e4a762433ea8c8b9f951eb1c224849c | 70,911 | py | Python | tests/driver/runner_test.py | alexsapran/rally | 6c4164bcc681b267feac969c100809964aac9c8f | [
"Apache-2.0"
] | null | null | null | tests/driver/runner_test.py | alexsapran/rally | 6c4164bcc681b267feac969c100809964aac9c8f | [
"Apache-2.0"
] | null | null | null | tests/driver/runner_test.py | alexsapran/rally | 6c4164bcc681b267feac969c100809964aac9c8f | [
"Apache-2.0"
] | null | null | null | # Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this f... | 32.951208 | 209 | 0.458786 |
9cb406b2f145ab280a036441ebd89f7816f20734 | 1,586 | py | Python | server/task_manager/urls.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | null | null | null | server/task_manager/urls.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | 6 | 2021-11-01T01:35:40.000Z | 2022-02-11T03:33:06.000Z | server/task_manager/urls.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | null | null | null | """task_manager URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')... | 39.65 | 102 | 0.692308 |
72052d803785b26305dbbaa867b6fe85c74d4f2b | 573 | py | Python | ampa/peticions/migrations/0014_auto_20210307_2137.py | jordiprats/django-ampa | b8e9d6076c32caa8bdc11094362ddccb12d95f8c | [
"Apache-2.0"
] | null | null | null | ampa/peticions/migrations/0014_auto_20210307_2137.py | jordiprats/django-ampa | b8e9d6076c32caa8bdc11094362ddccb12d95f8c | [
"Apache-2.0"
] | null | null | null | ampa/peticions/migrations/0014_auto_20210307_2137.py | jordiprats/django-ampa | b8e9d6076c32caa8bdc11094362ddccb12d95f8c | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.5 on 2021-03-07 21:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('peticions', '0013_auto_20210307_2136'),
]
operations = [
migrations.AlterField(
model_name='category',
name='name',
... | 23.875 | 64 | 0.588133 |
f86c1e9c0da1920e727108a7c0d417e0ac1799d7 | 2,049 | py | Python | locations/spiders/curaleaf.py | nbeecher/alltheplaces | f28b75ffbd7a6b09aaf80bf3a46cb563527632de | [
"MIT"
] | 297 | 2017-12-07T01:29:14.000Z | 2022-03-29T06:58:01.000Z | locations/spiders/curaleaf.py | nbeecher/alltheplaces | f28b75ffbd7a6b09aaf80bf3a46cb563527632de | [
"MIT"
] | 2,770 | 2017-11-28T04:20:21.000Z | 2022-03-31T11:29:16.000Z | locations/spiders/curaleaf.py | nbeecher/alltheplaces | f28b75ffbd7a6b09aaf80bf3a46cb563527632de | [
"MIT"
] | 111 | 2017-11-27T21:40:02.000Z | 2022-01-22T01:21:52.000Z | # -*- coding: utf-8 -*-
import scrapy
import json
from locations.items import GeojsonPointItem
import re
class CuraleafSpider(scrapy.Spider):
name = "curaleaf"
allowed_domains = ["curaleaf.com"]
start_urls = (
'https://curaleaf.com/locations/',
)
def parse(self, response):
urls = ... | 39.403846 | 118 | 0.577355 |
d1336f1d7014c63f0ad5aa77647bba796f61046d | 11,628 | py | Python | robotcon/yumi/yumi_robot.py | Photon26/wrs-main-210414 | 71efab6f8680af48ba269244136acf69c36cb730 | [
"MIT"
] | null | null | null | robotcon/yumi/yumi_robot.py | Photon26/wrs-main-210414 | 71efab6f8680af48ba269244136acf69c36cb730 | [
"MIT"
] | null | null | null | robotcon/yumi/yumi_robot.py | Photon26/wrs-main-210414 | 71efab6f8680af48ba269244136acf69c36cb730 | [
"MIT"
] | null | null | null | '''
Abstraction for the YuMi Robot
Authors: Jacky Liang
'''
import logging
from robotcon.yumi.yumi_arm import YuMiArm, YuMiArmFactory
from robotcon.yumi.yumi_constants import YuMiConstants as YMC
from time import sleep
class YuMiRobot:
""" Interface to both arms of an ABB YuMi robot_s.
Communicates with the ro... | 34.814371 | 137 | 0.564499 |
cf5614bdbcb34befa63d58e4aa6607ab74573461 | 15,166 | py | Python | Lib/site-packages/astropy/io/misc/hdf5.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | Lib/site-packages/astropy/io/misc/hdf5.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | Lib/site-packages/astropy/io/misc/hdf5.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This package contains functions for reading and writing HDF5 tables that are
not meant to be used directly, but instead are available as readers/writers in
`astropy.table`. See :ref:`table_io` for more details.
"""
import os
import warnings
import nu... | 38.492386 | 99 | 0.613807 |
2c90833f0ec3e94ac5c40995469e15e27632dc66 | 1,068 | py | Python | road_safety/forecast/test_model.py | twarik/presidential-election-pipeline | 1423178d4c1afb9a9da2e7ed6f1c505319ba389e | [
"MIT"
] | null | null | null | road_safety/forecast/test_model.py | twarik/presidential-election-pipeline | 1423178d4c1afb9a9da2e7ed6f1c505319ba389e | [
"MIT"
] | null | null | null | road_safety/forecast/test_model.py | twarik/presidential-election-pipeline | 1423178d4c1afb9a9da2e7ed6f1c505319ba389e | [
"MIT"
] | null | null | null | import argparse
import joblib
import numpy as np
from sklearn.metrics import mean_absolute_error as MAE
from sklearn.metrics import mean_squared_error as MSE
from sklearn.metrics import r2_score
from fbprophet import Prophet
def test_model(test, model_path):
test_data = np.load(x_test, allow_pickle=True)
mode... | 30.514286 | 104 | 0.716292 |
28ab23c5f6db9ee65092973a496cfa36e2432db3 | 1,322 | py | Python | class8/exercise6.py | bonno800/pynet | e699479bc0574e332868b587d01e7e363fe0f76e | [
"Apache-2.0"
] | null | null | null | class8/exercise6.py | bonno800/pynet | e699479bc0574e332868b587d01e7e363fe0f76e | [
"Apache-2.0"
] | null | null | null | class8/exercise6.py | bonno800/pynet | e699479bc0574e332868b587d01e7e363fe0f76e | [
"Apache-2.0"
] | null | null | null | from netmiko import ConnectHandler
from datetime import datetime
from net_system.models import NetworkDevice, Credentials
import django
import Queue
import threading
import time
def show_ver(q, a_device):
creds = a_device.credentials
remote_conn = ConnectHandler(device_type=a_device.device_type,
... | 28.12766 | 72 | 0.628593 |
07bc335a35fb2c3c3d197d091c561141128905ca | 1,106 | py | Python | chapter05/dags/08_trigger_rules.py | add54/Data_PipeLine_Apache_Airflow | 40b52ba6fcda3203b194be9e1c2850135997215a | [
"BSD-Source-Code"
] | 303 | 2019-09-30T10:59:15.000Z | 2022-03-30T17:03:27.000Z | chapter05/dags/08_trigger_rules.py | andreaschandra/data-pipelines-with-apache-airflow | 40b52ba6fcda3203b194be9e1c2850135997215a | [
"BSD-Source-Code"
] | 13 | 2020-04-08T12:28:30.000Z | 2021-12-30T06:40:37.000Z | chapter05/dags/08_trigger_rules.py | andreaschandra/data-pipelines-with-apache-airflow | 40b52ba6fcda3203b194be9e1c2850135997215a | [
"BSD-Source-Code"
] | 148 | 2020-01-03T03:30:39.000Z | 2022-03-28T04:19:43.000Z | import airflow
from airflow import DAG
from airflow.operators.dummy import DummyOperator
from airflow.operators.python import PythonOperator
def _fetch_sales(**context):
if context["execution_date"] > airflow.utils.dates.days_ago(2):
raise Exception("Something when wrong")
with DAG(
dag_id="08_trig... | 31.6 | 85 | 0.754069 |
2ec95cd35037daa7fa0c58d1689c32fc93e67498 | 5,716 | py | Python | run.py | zhaojing1995/Exploit-Unknown-Gradually | 9dc6b8222d573843f05067e1679a66425585a531 | [
"MIT"
] | 1 | 2019-08-09T01:31:06.000Z | 2019-08-09T01:31:06.000Z | run.py | zhaojing1995/Exploit-Unknown-Gradually | 9dc6b8222d573843f05067e1679a66425585a531 | [
"MIT"
] | null | null | null | run.py | zhaojing1995/Exploit-Unknown-Gradually | 9dc6b8222d573843f05067e1679a66425585a531 | [
"MIT"
] | null | null | null | from __future__ import print_function, absolute_import
from reid.eug import *
from reid import datasets
from reid import models
import numpy as np
import torch
import argparse
import os
from reid.utils.logging import Logger
import os.path as osp
import sys
from torch.backends import cudnn
from reid.utils.serialization... | 39.42069 | 135 | 0.645206 |
f40a99a8bea21471137ad40f8731359bb2ca6a0d | 48,295 | py | Python | core/domain/stats_services.py | jian-en/oppia | 2558c96bb7e61530d1d3b91d0fa5bfe1f020cfe3 | [
"Apache-2.0"
] | 1 | 2020-08-17T06:19:38.000Z | 2020-08-17T06:19:38.000Z | core/domain/stats_services.py | jian-en/oppia | 2558c96bb7e61530d1d3b91d0fa5bfe1f020cfe3 | [
"Apache-2.0"
] | null | null | null | core/domain/stats_services.py | jian-en/oppia | 2558c96bb7e61530d1d3b91d0fa5bfe1f020cfe3 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2014 The Oppia Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 40.112126 | 116 | 0.721234 |
20a809d61ee743f78232d8eadc45a3a2d4a580b3 | 1,139 | py | Python | attic/ngfrontman/reset_options.py | ludoo/wpkit | 0447d941a438e143b0e51b5e73418a0206832823 | [
"BSD-3-Clause"
] | null | null | null | attic/ngfrontman/reset_options.py | ludoo/wpkit | 0447d941a438e143b0e51b5e73418a0206832823 | [
"BSD-3-Clause"
] | null | null | null | attic/ngfrontman/reset_options.py | ludoo/wpkit | 0447d941a438e143b0e51b5e73418a0206832823 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import sys
import os
basepath = os.path.sep.join(os.path.abspath(os.path.dirname(__file__)).split(os.path.sep)[:-1])
sys.path.append(basepath)
os.environ['DJANGO_SETTINGS_MODULE'] = 'ngfrontman.settings'
from django.conf import settings
from django.db import connections
settings.DATABASES['wp... | 33.5 | 152 | 0.733099 |
7b9ec37eceb4b2cc0c923d9d265d9b27da97474f | 15,073 | py | Python | BST_AVL_PseudoPandas/bst_e_avl.py | VictorVenites/Mestrado | 94727e12e29c7f5423784377ea8f497854eb7feb | [
"MIT"
] | null | null | null | BST_AVL_PseudoPandas/bst_e_avl.py | VictorVenites/Mestrado | 94727e12e29c7f5423784377ea8f497854eb7feb | [
"MIT"
] | null | null | null | BST_AVL_PseudoPandas/bst_e_avl.py | VictorVenites/Mestrado | 94727e12e29c7f5423784377ea8f497854eb7feb | [
"MIT"
] | null | null | null | # Compilação baseada no código de
#- https://medium.com/@aksh0001/avl-trees-in-python-bc3d0aeb9150
from typing import List
# ------------------------------------------------------------------------------------------
# Base Tree Node
class TreeNode:
def __init__(self, key, val=None):
self.key = key
... | 40.628032 | 118 | 0.576395 |
0878d642df8174dac0398aeeeaf49ddbf6cc7b5b | 1,858 | py | Python | au500/parse_MUDetect_findings.py | ALP-active-miner/ALP | 5b5030e2da1297032f59e23c43a4bb20f402878a | [
"MIT"
] | null | null | null | au500/parse_MUDetect_findings.py | ALP-active-miner/ALP | 5b5030e2da1297032f59e23c43a4bb20f402878a | [
"MIT"
] | null | null | null | au500/parse_MUDetect_findings.py | ALP-active-miner/ALP | 5b5030e2da1297032f59e23c43a4bb20f402878a | [
"MIT"
] | null | null | null | """
Use this to parse the output of MUdetect: e.g. the stuff in findings/xmlgraphics-fop-findings-output.yml
findings/.*-findings-output.yml
Print the output to mudetect_findings.csv
"""
import sys
locations_and_APIs = []
with open(sys.argv[1]) as infile:
current_file = None
current_method = None
locatio... | 31.491525 | 122 | 0.540366 |
46be4ee77a0dc86f05df3e37b35ef1f5283fa555 | 319,035 | py | Python | src/azure-cli/azure/cli/command_modules/network/custom.py | kceiw/azure-cli | 1278999f52059ceb184c3f21596667d49e312d38 | [
"MIT"
] | 1 | 2016-09-15T23:10:48.000Z | 2016-09-15T23:10:48.000Z | src/azure-cli/azure/cli/command_modules/network/custom.py | kceiw/azure-cli | 1278999f52059ceb184c3f21596667d49e312d38 | [
"MIT"
] | 1 | 2021-06-02T02:50:00.000Z | 2021-06-02T02:50:00.000Z | src/azure-cli/azure/cli/command_modules/network/custom.py | kceiw/azure-cli | 1278999f52059ceb184c3f21596667d49e312d38 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 50.384555 | 204 | 0.675105 |
c57ee2d28b69c81bb002fb9bf73a64d3740f1479 | 3,134 | py | Python | logger/utils/test_read_config.py | timburbank/openrvdas | ba77d3958075abd21ff94a396e4a97879962ac0c | [
"BSD-2-Clause"
] | 1 | 2020-06-29T17:25:44.000Z | 2020-06-29T17:25:44.000Z | logger/utils/test_read_config.py | timburbank/openrvdas | ba77d3958075abd21ff94a396e4a97879962ac0c | [
"BSD-2-Clause"
] | null | null | null | logger/utils/test_read_config.py | timburbank/openrvdas | ba77d3958075abd21ff94a396e4a97879962ac0c | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
import json
import logging
import re
import sys
import tempfile
import threading
import unittest
import warnings
from os.path import dirname, realpath; sys.path.append(dirname(dirname(dirname(realpath(__file__)))))
from logger.utils import read_config
SAMPLE_JSON = """{
# Here's a sample... | 31.656566 | 101 | 0.575303 |
81b96aa90a3ca7a17c343ed3c4a0756db79c5ced | 1,276 | py | Python | cFunction.py | SkyLined/cBugId | fde6d3eff9d73c71fe6ac81c975c1a3e43afad3c | [
"CC-BY-4.0"
] | 22 | 2016-08-11T14:50:55.000Z | 2021-06-06T09:39:26.000Z | cFunction.py | SkyLined/cBugId | fde6d3eff9d73c71fe6ac81c975c1a3e43afad3c | [
"CC-BY-4.0"
] | 19 | 2016-09-07T05:54:40.000Z | 2020-07-02T07:46:38.000Z | cFunction.py | SkyLined/cBugId | fde6d3eff9d73c71fe6ac81c975c1a3e43afad3c | [
"CC-BY-4.0"
] | 11 | 2016-09-03T22:42:50.000Z | 2018-10-01T18:28:59.000Z | class cFunction(object):
def __init__(oSelf, oModule, sbSymbol):
assert oModule.sb0BinaryName, \
"Cannot have a function in a module without a binary name: %s" % repr(oModule);
assert oModule.sb0SimplifiedName, \
"Cannot have a function in a module without a simplified binary name: %s" % repr(... | 47.259259 | 103 | 0.623041 |
e259228edceda73787a418995ee767d4f0b4fcad | 1,893 | py | Python | src/messengers/facebook_messenger/facebook_messenger_notifications.py | debendda/multimessenger | 0b20c4a511cb06c85309306d513c8942ae7adbeb | [
"MIT"
] | null | null | null | src/messengers/facebook_messenger/facebook_messenger_notifications.py | debendda/multimessenger | 0b20c4a511cb06c85309306d513c8942ae7adbeb | [
"MIT"
] | null | null | null | src/messengers/facebook_messenger/facebook_messenger_notifications.py | debendda/multimessenger | 0b20c4a511cb06c85309306d513c8942ae7adbeb | [
"MIT"
] | null | null | null | from json_mockup.notification import MessageDeliveredNotification, MessageNotification, MessageReadNotification, UserTypingNotification, UserActiveNotification
from json_mockup.messages import Message
from fbchat import ThreadsRead, MessagesDelivered, MessageEvent, Typing, Presence
class FacebookMessengerNotifications... | 48.538462 | 159 | 0.703645 |
200fe1c7ee7c1e6c9f5cd22c4b201a87d4c6d88c | 57,080 | py | Python | pywinauto/controls/uia_controls.py | AleksandrPanov/pywinauto | 5fc0a7f05fa626c1830be5ef32878f76bea08f34 | [
"BSD-3-Clause"
] | 1 | 2022-01-13T06:45:26.000Z | 2022-01-13T06:45:26.000Z | pywinauto/controls/uia_controls.py | springcolor/pywinauto | 5fc0a7f05fa626c1830be5ef32878f76bea08f34 | [
"BSD-3-Clause"
] | 2 | 2019-11-03T13:01:46.000Z | 2020-12-08T18:22:55.000Z | pywinauto/controls/uia_controls.py | airelil/pywinauto | 187b84de20f7980d4f5cff4abdb3bbff17cc049e | [
"BSD-3-Clause"
] | null | null | null | # GUI Application automation and testing library
# Copyright (C) 2006-2018 Mark Mc Mahon and Contributors
# https://github.com/pywinauto/pywinauto/graphs/contributors
# http://pywinauto.readthedocs.io/en/latest/credits.html
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# ... | 38.489548 | 119 | 0.532095 |
94b115f5263ce445cf174b74b64176957432faff | 12,164 | py | Python | torch/utils/checkpoint.py | brooks-anderson/pytorch | dd928097938b6368fc7e2dc67721550d50ab08ea | [
"Intel"
] | 7 | 2021-05-29T16:31:51.000Z | 2022-02-21T18:52:25.000Z | torch/utils/checkpoint.py | brooks-anderson/pytorch | dd928097938b6368fc7e2dc67721550d50ab08ea | [
"Intel"
] | 1 | 2022-01-18T12:17:29.000Z | 2022-01-18T12:17:29.000Z | torch/utils/checkpoint.py | brooks-anderson/pytorch | dd928097938b6368fc7e2dc67721550d50ab08ea | [
"Intel"
] | 2 | 2021-07-02T10:18:21.000Z | 2021-08-18T10:10:28.000Z | import torch
import warnings
from typing import Any, Iterable, List, Tuple
def detach_variable(inputs: Tuple[Any, ...]) -> Tuple[torch.Tensor, ...]:
if isinstance(inputs, tuple):
out = []
for inp in inputs:
if not isinstance(inp, torch.Tensor):
out.append(inp)
... | 43.755396 | 102 | 0.665159 |
6a75e9d2c79c35a5dff8bf0323a3dad5c918c6ef | 6,154 | py | Python | backup.py | occulte/DOTFiles | 954e858f85e0dbf6cddda94dad56853b7ef5db11 | [
"MIT"
] | 1 | 2020-02-04T21:01:57.000Z | 2020-02-04T21:01:57.000Z | backup.py | occulte/DOTFiles | 954e858f85e0dbf6cddda94dad56853b7ef5db11 | [
"MIT"
] | null | null | null | backup.py | occulte/DOTFiles | 954e858f85e0dbf6cddda94dad56853b7ef5db11 | [
"MIT"
] | null | null | null | import github
import os
import re
import sys
from signal import signal, SIGINT
import datetime
import json
usage = '''baCkup. keep your settings files in sync
usage: python baCkup.py backup sync your config files to your gist.
python baCkup.py [options] restore restore the config files to your s... | 34.573034 | 276 | 0.651609 |
22cd9d5aacb1b8556b6b1982d02f4106da2df3fc | 2,084 | py | Python | scripts/train.py | TVlaic/Mozgalo | 842df60f9650405d6506f8a9934dcbb1d5f751da | [
"MIT"
] | 1 | 2021-04-20T07:58:26.000Z | 2021-04-20T07:58:26.000Z | scripts/train.py | Mungosin/Mozgalo | 842df60f9650405d6506f8a9934dcbb1d5f751da | [
"MIT"
] | null | null | null | scripts/train.py | Mungosin/Mozgalo | 842df60f9650405d6506f8a9934dcbb1d5f751da | [
"MIT"
] | null | null | null | import os
import argparse
import configparser
from shutil import copyfile
from importlib import import_module
#pip install tf-nightly-gpu
#pip install toposort networkx pytest
# from tensorflow.python.keras._impl.keras import backend as K
# import memory_saving_gradients
# K.__dict__["gradients"] = memory_saving_grad... | 36.561404 | 229 | 0.797505 |
9c9c31f182cfa330189ee8bae17bb7dc81d6421d | 4,519 | py | Python | similarity_score_new_weight/translation.py | gmichalo/LexSubCon | 7c5b3fec90520add2b032cb1277cab8e7bf0f07e | [
"Apache-2.0"
] | null | null | null | similarity_score_new_weight/translation.py | gmichalo/LexSubCon | 7c5b3fec90520add2b032cb1277cab8e7bf0f07e | [
"Apache-2.0"
] | null | null | null | similarity_score_new_weight/translation.py | gmichalo/LexSubCon | 7c5b3fec90520add2b032cb1277cab8e7bf0f07e | [
"Apache-2.0"
] | null | null | null | from transformers import MarianMTModel, MarianTokenizer
class back_translation:
def __init__(self, target_model_name='Helsinki-NLP/opus-mt-en-ROMANCE',
target_model_name_three_translation='Helsinki-NLP/opus-mt-fr-es',
en_model_name='Helsinki-NLP/opus-mt-ROMANCE-en'):
self... | 53.164706 | 118 | 0.684001 |
45c5620d6c238adac399d601dc77bb5fcf33f665 | 1,200 | py | Python | instasave/utils/decorator.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | 1 | 2020-07-05T19:42:44.000Z | 2020-07-05T19:42:44.000Z | instasave/utils/decorator.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | null | null | null | instasave/utils/decorator.py | hnrkcode/InstaSave | 81dd1638a20d8191566ad30772f652a6781d6c81 | [
"MIT"
] | 2 | 2019-09-10T20:21:35.000Z | 2019-09-19T09:43:03.000Z | import functools
import uuid
from hashlib import blake2b
def unique_filename(func):
"""Return filename with an unique id appended to it's end."""
@functools.wraps(func)
def wrapper(*args, **kwargs):
filename = func(*args, **kwargs)
# Convert the random UUID to bytes.
id = str.enco... | 29.268293 | 65 | 0.62 |
4d5d713339be8f159a71247fa4e534c7f260e19d | 20 | py | Python | db/queries/auth_queries.py | kerstentw/GenAuthPy | a3d1b391be9dc4050e2b5cd6e9d3721f95ea82d5 | [
"Unlicense"
] | null | null | null | db/queries/auth_queries.py | kerstentw/GenAuthPy | a3d1b391be9dc4050e2b5cd6e9d3721f95ea82d5 | [
"Unlicense"
] | null | null | null | db/queries/auth_queries.py | kerstentw/GenAuthPy | a3d1b391be9dc4050e2b5cd6e9d3721f95ea82d5 | [
"Unlicense"
] | null | null | null | AUTH_QUERIES = {
}
| 5 | 16 | 0.6 |
8bc7b93b75a89a80e0f3a21a79cc8f6410beef7e | 20,152 | py | Python | graphsage/models.py | mainuliitkgp/Weighted_GraphSAGE | 525a84e842cc8a489a0e15a8e0d481a42653752a | [
"MIT"
] | 1 | 2020-08-29T05:19:35.000Z | 2020-08-29T05:19:35.000Z | graphsage/models.py | mainuliitkgp/Weighted_GraphSAGE | 525a84e842cc8a489a0e15a8e0d481a42653752a | [
"MIT"
] | null | null | null | graphsage/models.py | mainuliitkgp/Weighted_GraphSAGE | 525a84e842cc8a489a0e15a8e0d481a42653752a | [
"MIT"
] | null | null | null | from collections import namedtuple
import tensorflow as tf
import math
import graphsage.layers as layers
import graphsage.metrics as metrics
from .prediction import BipartiteEdgePredLayer
from .aggregators import MeanAggregator, MaxPoolingAggregator, MeanPoolingAggregator, SeqAggregator, GCNAggregator
flags = tf.ap... | 41.983333 | 130 | 0.625992 |
0b05e635c25a3ed622bbf56ed86cd201a9be8b7e | 4,942 | py | Python | ml_model.py | Calsowah/testingAzurePython | 9c046490b3a37e90e9c73b3b483f33f82034bf64 | [
"MIT"
] | null | null | null | ml_model.py | Calsowah/testingAzurePython | 9c046490b3a37e90e9c73b3b483f33f82034bf64 | [
"MIT"
] | null | null | null | ml_model.py | Calsowah/testingAzurePython | 9c046490b3a37e90e9c73b3b483f33f82034bf64 | [
"MIT"
] | null | null | null | import pandas as pd
import re
import numpy as np
import math
from sklearn.naive_bayes import BernoulliNB
from sklearn.naive_bayes import MultinomialNB
from sklearn.model_selection import ShuffleSplit
from collections import Counter, defaultdict
#
data = '/Users/bryankamau/Documents/SPRING 2019/CS 5412/testingAzurePyth... | 30.134146 | 107 | 0.726427 |
30982d8571d4dad1ce9b6954c05b40fc13c130a6 | 3,858 | py | Python | homeassistant/components/nam/sensor.py | mikan-megane/core | 837220cce40890e296920d33a623adbc11bd15a6 | [
"Apache-2.0"
] | 2 | 2020-03-29T05:32:57.000Z | 2021-06-13T06:55:05.000Z | homeassistant/components/nam/sensor.py | mikan-megane/core | 837220cce40890e296920d33a623adbc11bd15a6 | [
"Apache-2.0"
] | 79 | 2020-07-23T07:13:37.000Z | 2022-03-22T06:02:37.000Z | homeassistant/components/nam/sensor.py | mikan-megane/core | 837220cce40890e296920d33a623adbc11bd15a6 | [
"Apache-2.0"
] | 1 | 2020-11-18T21:04:18.000Z | 2020-11-18T21:04:18.000Z | """Support for the Nettigo Air Monitor service."""
from __future__ import annotations
from datetime import timedelta
from typing import Any
from homeassistant.components.sensor import ATTR_STATE_CLASS, SensorEntity
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import ATTR_DEVICE_CLASS,... | 33.258621 | 93 | 0.68844 |
57452c0f9e77efb213866f4b1f17d36d31c09bfe | 128,981 | py | Python | zerver/models.py | akornor/zulip | 451ef6395677f6cdeb7149677d04d12fb30dc4cb | [
"Apache-2.0"
] | 1 | 2020-08-24T08:26:03.000Z | 2020-08-24T08:26:03.000Z | zerver/models.py | tejpratap545/zulip | 77bea3de7aec9b38bf51f619393b4f83540a51dd | [
"Apache-2.0"
] | null | null | null | zerver/models.py | tejpratap545/zulip | 77bea3de7aec9b38bf51f619393b4f83540a51dd | [
"Apache-2.0"
] | null | null | null | import ast
import datetime
import re
import time
from collections import defaultdict
from datetime import timedelta
from typing import (
AbstractSet,
Any,
Callable,
DefaultDict,
Dict,
Iterable,
List,
Optional,
Sequence,
Set,
Tuple,
TypeVar,
Union,
)
import django.con... | 41.353318 | 131 | 0.703483 |
756e203e805d796b1f4f94b207b294bfc0c2c4f1 | 16,546 | py | Python | tensorflow/python/profiler/option_builder.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 190,993 | 2015-11-09T13:17:30.000Z | 2022-03-31T23:05:27.000Z | tensorflow/python/profiler/option_builder.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 48,461 | 2015-11-09T14:21:11.000Z | 2022-03-31T23:17:33.000Z | tensorflow/python/profiler/option_builder.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 104,981 | 2015-11-09T13:40:17.000Z | 2022-03-31T19:51:54.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.813853 | 128 | 0.642089 |
f893aa053a1651d59067d499e3e67727b7fd4372 | 6,169 | py | Python | wtpy/StrategyDefs.py | msincenselee/wtpy | af1ca67b6f194a853d7aff9c9858bd678dd00491 | [
"MIT"
] | null | null | null | wtpy/StrategyDefs.py | msincenselee/wtpy | af1ca67b6f194a853d7aff9c9858bd678dd00491 | [
"MIT"
] | null | null | null | wtpy/StrategyDefs.py | msincenselee/wtpy | af1ca67b6f194a853d7aff9c9858bd678dd00491 | [
"MIT"
] | null | null | null | from wtpy import CtaContext, SelContext, HftContext
class BaseCtaStrategy:
'''
CTA策略基础类，所有的策略都从该类派生\n
包含了策略的基本开发框架
'''
def __init__(self, name:str):
self.__name__ = name
def name(self) -> str:
return self.__name__
def on_init(self, context:CtaC... | 23.191729 | 156 | 0.497974 |
bb592d185e0c5a3acb314cb624240e7f7c30252b | 7,631 | py | Python | deep_qa-master/tests/layers/tuple_matchers/threshold_tuple_matcher_test.py | RTHMaK/RPGOne | 3f3ada7db1762781668bfb2377154fdc00e17212 | [
"Apache-2.0"
] | 1 | 2017-04-11T13:03:55.000Z | 2017-04-11T13:03:55.000Z | deep_qa-master/tests/layers/tuple_matchers/threshold_tuple_matcher_test.py | RTHMaK/RPGOne | 3f3ada7db1762781668bfb2377154fdc00e17212 | [
"Apache-2.0"
] | null | null | null | deep_qa-master/tests/layers/tuple_matchers/threshold_tuple_matcher_test.py | RTHMaK/RPGOne | 3f3ada7db1762781668bfb2377154fdc00e17212 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=no-self-use
import numpy
from numpy.testing import assert_array_almost_equal
from keras import backend as K
from keras.initializers import Constant
from keras.layers import Input
from keras.models import Model
from keras import activations
from deep_qa.tensors.backend import apply_feed_forward
from d... | 55.297101 | 112 | 0.625999 |
8194174571df186616050ec51ea978fd4a5f61df | 17,442 | py | Python | nova/scheduler/host_manager.py | venusource/nova | 0c6e6f180eebe71a3431abf726a0fd0c66578162 | [
"Apache-2.0"
] | null | null | null | nova/scheduler/host_manager.py | venusource/nova | 0c6e6f180eebe71a3431abf726a0fd0c66578162 | [
"Apache-2.0"
] | null | null | null | nova/scheduler/host_manager.py | venusource/nova | 0c6e6f180eebe71a3431abf726a0fd0c66578162 | [
"Apache-2.0"
] | 1 | 2020-07-24T00:41:17.000Z | 2020-07-24T00:41:17.000Z | # Copyright (c) 2011 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 40.18894 | 79 | 0.613634 |
1ae4ad09e1cb4bceca04b5fe35c740400fedfd3f | 2,774 | py | Python | pyntcloud/plot/voxelgrid.py | soyoung9306/pyntcloud | 490d58015e351c2f745a247587ea245d45f4bb25 | [
"MIT"
] | null | null | null | pyntcloud/plot/voxelgrid.py | soyoung9306/pyntcloud | 490d58015e351c2f745a247587ea245d45f4bb25 | [
"MIT"
] | null | null | null | pyntcloud/plot/voxelgrid.py | soyoung9306/pyntcloud | 490d58015e351c2f745a247587ea245d45f4bb25 | [
"MIT"
] | null | null | null | import os
import shutil
import numpy as np
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
try:
from IPython.display import IFrame
except ImportError:
IFrame = None
def plot_voxelgrid(voxelgrid,
mode="binary",
cmap="Oranges",
... | 29.2 | 77 | 0.629056 |
c1da4db692812e965904480df3b17af7be29ac94 | 21,759 | py | Python | geopandas/tests/test_geom_methods.py | BoBednar/geopandas | f89a6e34de2b32c1e2160f0c079b7e50067304eb | [
"BSD-3-Clause"
] | null | null | null | geopandas/tests/test_geom_methods.py | BoBednar/geopandas | f89a6e34de2b32c1e2160f0c079b7e50067304eb | [
"BSD-3-Clause"
] | null | null | null | geopandas/tests/test_geom_methods.py | BoBednar/geopandas | f89a6e34de2b32c1e2160f0c079b7e50067304eb | [
"BSD-3-Clause"
] | 1 | 2020-01-06T09:22:38.000Z | 2020-01-06T09:22:38.000Z | from __future__ import absolute_import
import string
import numpy as np
from pandas import Series, DataFrame, MultiIndex
from shapely.geometry import (
Point, LinearRing, LineString, Polygon, MultiPoint)
from shapely.geometry.collection import GeometryCollection
from shapely.ops import unary_union
from geopandas... | 39.134892 | 79 | 0.588584 |
9d62e7735d73014bfe4f78cff538d22676595268 | 590 | py | Python | LeetCode/2019-07-20-377-Combination-Sum-IV.py | HeRuivio/-Algorithm | 1fbe6256630758fda3af68f469471ee246730afc | [
"MIT"
] | 5 | 2018-10-30T05:07:32.000Z | 2019-06-18T08:11:38.000Z | LeetCode/2019-07-20-377-Combination-Sum-IV.py | HeRuivio/-Algorithm | 1fbe6256630758fda3af68f469471ee246730afc | [
"MIT"
] | 1 | 2020-05-09T09:05:16.000Z | 2020-05-09T09:05:16.000Z | LeetCode/2019-07-20-377-Combination-Sum-IV.py | HeRuivio/-Algorithm | 1fbe6256630758fda3af68f469471ee246730afc | [
"MIT"
] | 2 | 2020-05-09T09:02:22.000Z | 2020-12-09T13:23:00.000Z | # -*- coding: utf-8 -*-
# @Author: 何睿
# @Create Date: 2019-07-20 07:58:21
# @Last Modified by: 何睿
# @Last Modified time: 2019-07-20 08:33:22
from typing import List
class Solution:
def combinationSum4(self, nums: List[int], target: int) -> int:
if not nums:
return 0
... | 28.095238 | 87 | 0.508475 |
f94a25fe81b0a9ac8dbd0782e69be2fddc7695d9 | 776 | py | Python | Python/My general experiments.py | GuruprasadaShridharHegde/Coder-Mansion | 14529a6d5d4e674ecaf0c771e9cc428ba34b0a2d | [
"MIT"
] | 1 | 2022-01-19T04:22:21.000Z | 2022-01-19T04:22:21.000Z | Python/My general experiments.py | GuruprasadaShridharHegde/Coder-Mansion | 14529a6d5d4e674ecaf0c771e9cc428ba34b0a2d | [
"MIT"
] | null | null | null | Python/My general experiments.py | GuruprasadaShridharHegde/Coder-Mansion | 14529a6d5d4e674ecaf0c771e9cc428ba34b0a2d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 17 15:05:05 2022
@author: Guruprasada
"""
# My experiments
print(tuple('random'))
print(list('random'))
print(set('random'))
print(" it's my birthday")
print('she said "I am hungry" ')
#####
test = 'hello guru'
print(test.index("l"))
print(test[1:4])
print... | 16.869565 | 36 | 0.587629 |
f369a56d900c6f4f0e6c26db5fead9f1c8a62b49 | 368 | py | Python | src/server/MessageHandlers/Time.py | JSchneidler/python-irc | f993c28e6a87b16c9e23c3f1b91fdd1f42ee2b2c | [
"MIT"
] | null | null | null | src/server/MessageHandlers/Time.py | JSchneidler/python-irc | f993c28e6a87b16c9e23c3f1b91fdd1f42ee2b2c | [
"MIT"
] | null | null | null | src/server/MessageHandlers/Time.py | JSchneidler/python-irc | f993c28e6a87b16c9e23c3f1b91fdd1f42ee2b2c | [
"MIT"
] | null | null | null | from datetime import datetime
from lib.Message import Message
from .Handler import Handler
from .Reply import time
# https://datatracker.ietf.org/doc/html/rfc2812#section-3.4.6
class Time(Handler):
def handle(self, message: Message):
self._replyNumeric(
self.client, time(self.serverState.get... | 24.533333 | 87 | 0.709239 |
c20105b1fd46b4754f7364280430422649dbf768 | 1,684 | py | Python | rigid.py | BillXu2000/taichiCourse01_cpic | 8282ed9b8387cf910353eaba975eb80ae1f6007d | [
"MIT"
] | null | null | null | rigid.py | BillXu2000/taichiCourse01_cpic | 8282ed9b8387cf910353eaba975eb80ae1f6007d | [
"MIT"
] | null | null | null | rigid.py | BillXu2000/taichiCourse01_cpic | 8282ed9b8387cf910353eaba975eb80ae1f6007d | [
"MIT"
] | null | null | null | import taichi as ti
from utils import *
@ti.data_oriented
class Rigid:
def __init__(self, n):
self.pos = ti.Vector.field(2, dtype = real, shape = ())
self.v = ti.Vector.field(2, dtype = real, shape = ())
self.theta = ti.field(dtype = real, shape = ())
self.w = ti.field(dtype = real... | 35.083333 | 119 | 0.529097 |
61fdc78e78a264bf5293afe86d477bccc22be844 | 725 | py | Python | A-V/STUN/turn-client-master/py-tcp-echo-server.py | mosxuqian/CodeCollection | 40622739f7fcb7326ee85db3bf5ecf1148c3aa08 | [
"Apache-2.0"
] | 1 | 2021-10-09T03:31:49.000Z | 2021-10-09T03:31:49.000Z | A-V/STUN/turn-client-master/py-tcp-echo-server.py | zzilla/CodeCollection | 40622739f7fcb7326ee85db3bf5ecf1148c3aa08 | [
"Apache-2.0"
] | null | null | null | A-V/STUN/turn-client-master/py-tcp-echo-server.py | zzilla/CodeCollection | 40622739f7fcb7326ee85db3bf5ecf1148c3aa08 | [
"Apache-2.0"
] | 4 | 2017-05-20T02:52:51.000Z | 2019-04-03T01:01:47.000Z | #!/usr/bin/python
'''
python TCP echo sever by Chris <nodexy@gmail>
USAGE: %s <server_ip> <server_port>
'''
# 2012-2-22 Shenzhen, China
import socket
from sys import argv
def f(host,port):
sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
sock.bind((host,port))
sock.listen(10)
while True:
... | 17.682927 | 59 | 0.575172 |
11974d25d72d30f0c7a32b3c96cd6989800836bd | 41,880 | py | Python | pandas/io/excel/_base.py | rajat315315/pandas | 2eec4f7cfa1c45671b9875062343521a53ae8b28 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/io/excel/_base.py | rajat315315/pandas | 2eec4f7cfa1c45671b9875062343521a53ae8b28 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/io/excel/_base.py | rajat315315/pandas | 2eec4f7cfa1c45671b9875062343521a53ae8b28 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | from __future__ import annotations
import abc
import datetime
from distutils.version import LooseVersion
import inspect
from io import BytesIO
import os
from textwrap import fill
from typing import Any, Dict, Mapping, Optional, Union, cast
import warnings
import zipfile
from pandas._config import config
from pandas.... | 35.163728 | 88 | 0.606328 |
392a9a8c1c2bd25d86d52d7c414f66d176f5d37b | 800 | py | Python | setup.py | tcprescott/racetime-bot | 0028579599e5e3a33156ecd86aebe5c61bd9b5cf | [
"MIT"
] | null | null | null | setup.py | tcprescott/racetime-bot | 0028579599e5e3a33156ecd86aebe5c61bd9b5cf | [
"MIT"
] | null | null | null | setup.py | tcprescott/racetime-bot | 0028579599e5e3a33156ecd86aebe5c61bd9b5cf | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='racetime-bot',
description='Foundation system for creating chat bots for racetime.gg',
license='MIT',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'License :: OSI Approve... | 27.586207 | 75 | 0.59625 |
a9fb1054e52518494ddb31325ba951b5ea7839d5 | 11,377 | py | Python | tests/cupy_tests/core_tests/test_ndarray_scatter.py | mattvend/cupy | 522eda0e147f8560c7883233ea737e2491e6105d | [
"MIT"
] | null | null | null | tests/cupy_tests/core_tests/test_ndarray_scatter.py | mattvend/cupy | 522eda0e147f8560c7883233ea737e2491e6105d | [
"MIT"
] | null | null | null | tests/cupy_tests/core_tests/test_ndarray_scatter.py | mattvend/cupy | 522eda0e147f8560c7883233ea737e2491e6105d | [
"MIT"
] | null | null | null | import unittest
import numpy
import cupy
from cupy import testing
@testing.parameterize(
# array only
{'shape': (2, 3, 4), 'slices': numpy.array(-1), 'value': 1},
{'shape': (2, 3, 4), 'slices': numpy.array([1, 0]), 'value': 1},
{'shape': (2, 3, 4), 'slices': (slice(None), [1, 2]), 'value': 1},
{... | 40.92446 | 77 | 0.531511 |
efd9f2f8537ebd039ed08470d11d65e046b02635 | 21,556 | py | Python | tensorflow_probability/python/mcmc/random_walk_metropolis.py | mederrata/probability | bc6c411b0fbd83141f303f91a27343fe3c43a797 | [
"Apache-2.0"
] | 1 | 2022-03-22T11:56:31.000Z | 2022-03-22T11:56:31.000Z | tensorflow_probability/python/mcmc/random_walk_metropolis.py | robot0102/probability | 89d248c420b8ecabfd9d6de4a1aa8d3886920049 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/mcmc/random_walk_metropolis.py | robot0102/probability | 89d248c420b8ecabfd9d6de4a1aa8d3886920049 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# 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 o... | 37.685315 | 103 | 0.705326 |
5150b9a036a9671aa3039bdb51050a5b2f6d3819 | 18,383 | py | Python | hm_con.py | zjl123001/DD-TIG-constraint | 480aa6395b8509cb5982e79d4026890d5678f3da | [
"MIT"
] | null | null | null | hm_con.py | zjl123001/DD-TIG-constraint | 480aa6395b8509cb5982e79d4026890d5678f3da | [
"MIT"
] | null | null | null | hm_con.py | zjl123001/DD-TIG-constraint | 480aa6395b8509cb5982e79d4026890d5678f3da | [
"MIT"
] | null | null | null | import collections
import os
from param import args
import pandas
import numpy as np
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
import time
from torch.utils.data.dataloader import DataLoader
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_scor... | 37.593047 | 172 | 0.55263 |
b034530a9dbd58262907042040ec8013e8538f85 | 2,980 | py | Python | scripts/addons/animation_nodes/graphics/interpolation_preview.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2020-04-16T22:12:40.000Z | 2022-01-22T17:18:45.000Z | scripts/addons/animation_nodes/graphics/interpolation_preview.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | null | null | null | scripts/addons/animation_nodes/graphics/interpolation_preview.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2019-05-16T04:01:09.000Z | 2020-08-25T11:42:26.000Z | import gpu
import numpy
from bgl import *
from . rectangle import Rectangle
from gpu_extras.batch import batch_for_shader
shader = gpu.shader.from_builtin('2D_UNIFORM_COLOR')
class InterpolationPreview:
def __init__(self, interpolation, position, width, resolution):
self.interpolation = interpolation
... | 33.863636 | 71 | 0.628188 |
0f27de74c0c4c9cdad79ce1c3e2c3fa4bda47a39 | 1,960 | py | Python | cq/contrib/django/storages.py | lukaszb/cq | e32f18c0a873e925d68cfafc53e18328157a6621 | [
"MIT"
] | 4 | 2017-03-15T15:01:44.000Z | 2021-02-05T03:08:41.000Z | cq/contrib/django/storages.py | lukaszb/cq | e32f18c0a873e925d68cfafc53e18328157a6621 | [
"MIT"
] | 14 | 2017-01-09T11:15:40.000Z | 2021-03-25T21:58:14.000Z | cq/contrib/django/storages.py | lukaszb/cq | e32f18c0a873e925d68cfafc53e18328157a6621 | [
"MIT"
] | 1 | 2017-03-12T18:03:38.000Z | 2017-03-12T18:03:38.000Z | from cq.contrib.django.models import Event as EventModel
from cq.contrib.django.models import UniqueItem
from cq.events import Event
from cq.storages import Storage
from django.db import IntegrityError
class DjangoStorage(Storage):
def append(self, event):
obj = to_model(event)
obj.save()
... | 31.612903 | 98 | 0.675 |
d3f017763be774f0d3a8e6ee97cfd1aa768db03b | 14,244 | py | Python | tests/unit/modules/test_random_org.py | xiaowei582648206/saltx | 1d17b030b973ce5422e0fbe7e17c98c7ca91c49b | [
"Apache-2.0"
] | 1 | 2022-02-09T06:40:14.000Z | 2022-02-09T06:40:14.000Z | tests/unit/modules/test_random_org.py | xiaowei582648206/saltx | 1d17b030b973ce5422e0fbe7e17c98c7ca91c49b | [
"Apache-2.0"
] | null | null | null | tests/unit/modules/test_random_org.py | xiaowei582648206/saltx | 1d17b030b973ce5422e0fbe7e17c98c7ca91c49b | [
"Apache-2.0"
] | 4 | 2020-11-04T06:28:05.000Z | 2022-02-09T10:54:49.000Z | # -*- coding: utf-8 -*-
'''
:codeauthor: Jayesh Kariya <jayeshk@saltstack.com>
'''
# Import Python Libs
from __future__ import absolute_import
# Import Salt Testing Libs
from tests.support.mixins import LoaderModuleMockMixin
from tests.support.unit import TestCase
# Import Salt Libs
import salt.modules.random_or... | 46.397394 | 88 | 0.459141 |
ec1aba25f782f8568b522a6bf602878b55c7aea6 | 878 | py | Python | app/search.py | jimmybutton/microblog | be8bd4e80d4ea163544a3a2530e9a16b40e50eee | [
"MIT"
] | null | null | null | app/search.py | jimmybutton/microblog | be8bd4e80d4ea163544a3a2530e9a16b40e50eee | [
"MIT"
] | 1 | 2021-06-02T00:41:27.000Z | 2021-06-02T00:41:27.000Z | app/search.py | jimmybutton/microblog | be8bd4e80d4ea163544a3a2530e9a16b40e50eee | [
"MIT"
] | null | null | null | from flask import current_app
def add_to_index(index, model):
if not current_app.elasticsearch:
return
payload = {}
for field in model.__searchable__:
payload[field] = getattr(model, field)
current_app.elasticsearch.index(index=index, id=model.id, body=payload)
def remove_from_index(in... | 35.12 | 75 | 0.649203 |
c495850422f5fbf44dd2802690927b501eabfe64 | 5,902 | py | Python | tests/test_db.py | KyleKaniecki/django-environ | 44ac6649ad6135ff4246371880298bf732cd1c52 | [
"MIT"
] | 2,518 | 2015-01-09T03:30:05.000Z | 2022-03-30T12:52:05.000Z | tests/test_db.py | KyleKaniecki/django-environ | 44ac6649ad6135ff4246371880298bf732cd1c52 | [
"MIT"
] | 334 | 2015-01-02T13:03:41.000Z | 2022-03-16T09:13:40.000Z | tests/test_db.py | KyleKaniecki/django-environ | 44ac6649ad6135ff4246371880298bf732cd1c52 | [
"MIT"
] | 327 | 2015-01-02T12:59:05.000Z | 2022-03-31T15:39:27.000Z | # This file is part of the django-environ.
#
# Copyright (c) 2021, Serghei Iakovlev <egrep@protonmail.ch>
# Copyright (c) 2013-2021, Daniele Faraglia <daniele.faraglia@gmail.com>
#
# For the full copyright and license information, please view
# the LICENSE.txt file that was distributed with this source code.
import wa... | 29.51 | 75 | 0.587767 |
a6a8346b74fb97ae569ea0c3191cda43c4e94191 | 23,319 | py | Python | gym_round_bot/envs/round_bot_window.py | robotsthatdream/gym-round_bot | fa5c672b068bb9a38348e3d0103a7ef5135b2aaa | [
"MIT"
] | 2 | 2018-10-22T08:13:40.000Z | 2018-10-22T10:24:49.000Z | gym_round_bot/envs/round_bot_window.py | Lcressot/gym-round_bot | fa5c672b068bb9a38348e3d0103a7ef5135b2aaa | [
"MIT"
] | null | null | null | gym_round_bot/envs/round_bot_window.py | Lcressot/gym-round_bot | fa5c672b068bb9a38348e3d0103a7ef5135b2aaa | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
""" Cressot Loic
ISIR - CNRS / Sorbonne Université
02/2018
code started from : https://github.com/fogleman/Minecraft
"""
import math
import numpy as np
from sys import platform
import copy
import scipy.misc
from collections import deque
from pyglet import image... | 37.73301 | 155 | 0.5806 |
152d4c8cc27be7b58a5a53616b62540757b5c215 | 3,315 | py | Python | src/dataset.py | meyson/bengaliai-cv19 | 9e528a51192dc86c212780663da1a70e41716179 | [
"Unlicense"
] | null | null | null | src/dataset.py | meyson/bengaliai-cv19 | 9e528a51192dc86c212780663da1a70e41716179 | [
"Unlicense"
] | null | null | null | src/dataset.py | meyson/bengaliai-cv19 | 9e528a51192dc86c212780663da1a70e41716179 | [
"Unlicense"
] | null | null | null | import numpy as np
import pandas as pd
import torch
from PIL import Image
from torch.utils.data import Dataset
from tqdm import tqdm
import joblib
def decode_png(image_fn):
return Image.open(f'data/train_images_png/{image_fn}.png')
def decode_pkl(image_fn):
img_array = joblib.load(f'data/train_images_pkl/{i... | 29.336283 | 120 | 0.592459 |
853f3bd79f183f07a9503ef7dc4e9dccf192bc82 | 1,559 | py | Python | flask-restful/fullexample_quickstart.py | cams7/python-samples | 518e4d0fe73534e52d19acf27c0c380aef9a485a | [
"Apache-2.0"
] | null | null | null | flask-restful/fullexample_quickstart.py | cams7/python-samples | 518e4d0fe73534e52d19acf27c0c380aef9a485a | [
"Apache-2.0"
] | null | null | null | flask-restful/fullexample_quickstart.py | cams7/python-samples | 518e4d0fe73534e52d19acf27c0c380aef9a485a | [
"Apache-2.0"
] | null | null | null | from flask import Flask
from flask_restful import reqparse, abort, Api, Resource
app = Flask(__name__)
api = Api(app)
TODOS = {
'todo1': {'task': 'build an API'},
'todo2': {'task': '?????'},
'todo3': {'task': 'profit!'},
}
def abort_if_todo_doesnt_exist(todo_id):
if todo_id not in TODO... | 25.145161 | 68 | 0.604875 |
bdba8186b271586780331503d90da75eb4b01554 | 727 | py | Python | setup.py | sander76/fab-dep | df0ee1c9fb7dab2af69f125a3764b9730b5b4866 | [
"MIT"
] | null | null | null | setup.py | sander76/fab-dep | df0ee1c9fb7dab2af69f125a3764b9730b5b4866 | [
"MIT"
] | 2 | 2021-04-23T08:23:58.000Z | 2021-04-23T08:31:43.000Z | setup.py | sander76/fab-dep | df0ee1c9fb7dab2af69f125a3764b9730b5b4866 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from fab_deploy import __version__
setup(
name="fab-dep",
version=__version__,
packages=["fab_deploy"],
install_requires=[
"asn1crypto==0.24.0",
"certifi==2019.3.9",
"cffi==1.12.3",
"chardet==3.0.4",
"click==7.0",
... | 23.451613 | 67 | 0.528198 |
5f29a00934fd29d4b655f669af1f8dc826b30244 | 1,373 | py | Python | FRAS/Train_Image.py | ciroiriarte/Face-Recognition-Attendance-System | b838bcdab25a0fca6bc64599418b5c63f194331e | [
"MIT"
] | 1 | 2022-03-03T16:19:25.000Z | 2022-03-03T16:19:25.000Z | FRAS/Train_Image.py | ciroiriarte/Face-Recognition-Attendance-System | b838bcdab25a0fca6bc64599418b5c63f194331e | [
"MIT"
] | 3 | 2021-06-08T20:49:52.000Z | 2022-01-13T02:06:09.000Z | FRAS/Train_Image.py | ciroiriarte/Face-Recognition-Attendance-System | b838bcdab25a0fca6bc64599418b5c63f194331e | [
"MIT"
] | null | null | null | import os
import cv2
import numpy as np
from PIL import Image
# -------------- image labesl ------------------------
def getImagesAndLabels(path):
# get the path of all the files in the folder
imagePaths = [os.path.join(path, f) for f in os.listdir(path)]
# print(imagePaths)
# create empth face lis... | 32.690476 | 80 | 0.648216 |
d1ad59c33cfe80d7822502361341edd3909ddadf | 314 | py | Python | sheldon_servos/setup.py | shinselrobots/sheldon | 911148cd82d28e37aebc5e083fbf830d1c9768ab | [
"Apache-2.0"
] | 1 | 2021-01-02T18:17:52.000Z | 2021-01-02T18:17:52.000Z | sheldon_servos/setup.py | shinselrobots/sheldon | 911148cd82d28e37aebc5e083fbf830d1c9768ab | [
"Apache-2.0"
] | null | null | null | sheldon_servos/setup.py | shinselrobots/sheldon | 911148cd82d28e37aebc5e083fbf830d1c9768ab | [
"Apache-2.0"
] | 4 | 2017-09-16T03:56:01.000Z | 2018-09-19T02:15:57.000Z | ## ! DO NOT MANUALLY INVOKE THIS setup.py, USE CATKIN INSTEAD
from distutils.core import setup
from catkin_pkg.python_setup import generate_distutils_setup
# fetch values from package.xml
setup_args = generate_distutils_setup(
packages=['sheldon_servos'],
package_dir={'': 'src'},
)
setup(**setup_args)
| 24.153846 | 61 | 0.764331 |
7d0c9cbe0066a3737d583a0582c578679309b9b7 | 6,729 | py | Python | test/unit/object/test_item.py | GabeLambda/box-python-sdk | 6597e930929f3ee49d4930a53304277167c0a4db | [
"Apache-2.0"
] | null | null | null | test/unit/object/test_item.py | GabeLambda/box-python-sdk | 6597e930929f3ee49d4930a53304277167c0a4db | [
"Apache-2.0"
] | null | null | null | test/unit/object/test_item.py | GabeLambda/box-python-sdk | 6597e930929f3ee49d4930a53304277167c0a4db | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from __future__ import unicode_literals
import json
import pytest
@pytest.fixture(params=('file', 'folder'))
def test_item_and_response(test_file, test_folder, mock_file_response, mock_folder_response, request):
if request.param == 'file':
return test_file, mock_file_response
elif req... | 46.406897 | 142 | 0.759994 |
d7fd8412cd4de1a32e0ca201d167f163974ce204 | 188 | py | Python | courses/tests.py | lumeijin/FITA | 84b34f58bc1d3351c2caa3f02619fa09212f14a0 | [
"Apache-2.0"
] | null | null | null | courses/tests.py | lumeijin/FITA | 84b34f58bc1d3351c2caa3f02619fa09212f14a0 | [
"Apache-2.0"
] | null | null | null | courses/tests.py | lumeijin/FITA | 84b34f58bc1d3351c2caa3f02619fa09212f14a0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2018/6/29 23:36
# @Author : TrumanGu
# @Email : 1227085585@qq.com
# @Software: PyCharm
from django.test import TestCase
# Create your tests here.
| 18.8 | 32 | 0.643617 |
ce4a975a19de4aecc4c929750ff002d509a8601e | 4,904 | py | Python | dglt/train/metrics.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | 3 | 2022-02-06T09:13:51.000Z | 2022-02-19T15:03:35.000Z | dglt/train/metrics.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | 1 | 2022-02-14T23:16:27.000Z | 2022-02-14T23:16:27.000Z | dglt/train/metrics.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | null | null | null | import math
from typing import List, Callable, Union
from sklearn.metrics import accuracy_score, mean_squared_error, roc_auc_score, mean_absolute_error, r2_score, \
precision_recall_curve, auc, recall_score, confusion_matrix
def accuracy(targets: List[int], preds: List[float], threshold: float = 0.5) -> float:
... | 36.058824 | 134 | 0.696574 |
3b34fc0134fb1d55260022e9d2b0abb99f4c170b | 3,968 | py | Python | progressbar.py | voidabhi/python-scripts | a6d06bd3ccf4ec24df521a3cf305d22176f68a18 | [
"MIT"
] | 2 | 2015-06-01T18:33:38.000Z | 2018-11-21T19:40:37.000Z | progressbar.py | voidabhi/python-scripts | a6d06bd3ccf4ec24df521a3cf305d22176f68a18 | [
"MIT"
] | 102 | 2015-01-20T17:26:52.000Z | 2017-12-28T17:32:51.000Z | progressbar.py | voidabhi/python-scripts | a6d06bd3ccf4ec24df521a3cf305d22176f68a18 | [
"MIT"
] | 3 | 2020-03-02T06:54:18.000Z | 2021-01-07T16:36:35.000Z | ################################################################################
# Example usage:
# $ python
# >>> import Progress
# >>> total = 100
# >>> message = 'Doing this task '
# >>> with Progress.Bar(total, message) as bar:
# ... for n in range(total):
# ... time.sleep(0.1)
# ... bar.update(... | 31.492063 | 80 | 0.486391 |
3381d7376fffcce32bebbbea349462ef66995641 | 11,538 | py | Python | deepfrier/Predictor.py | flatironinstitute/DeepFRI | 4ec8da52217c7dbb891f00f13febde405081dca8 | [
"BSD-3-Clause"
] | 103 | 2020-04-25T06:46:03.000Z | 2022-03-20T14:00:22.000Z | deepfrier/Predictor.py | flatironinstitute/DeepFRI | 4ec8da52217c7dbb891f00f13febde405081dca8 | [
"BSD-3-Clause"
] | 15 | 2020-05-13T22:50:37.000Z | 2022-03-21T20:51:19.000Z | deepfrier/Predictor.py | flatironinstitute/DeepFRI | 4ec8da52217c7dbb891f00f13febde405081dca8 | [
"BSD-3-Clause"
] | 28 | 2020-04-25T06:46:05.000Z | 2022-01-23T08:03:47.000Z | import os
import csv
import glob
import json
import gzip
import secrets
import numpy as np
import tensorflow as tf
from .utils import load_catalogue, load_FASTA, load_predicted_PDB, seq2onehot
from .layers import MultiGraphConv, GraphConv, FuncPredictor, SumPooling
class GradCAM(object):
"""
GradCAM for pro... | 46.524194 | 152 | 0.569943 |
db88d0e7f9e810e7498a6c5efa716de400203014 | 10,042 | py | Python | tests/test_deep_link.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 62 | 2019-08-13T11:24:36.000Z | 2022-03-11T16:24:55.000Z | tests/test_deep_link.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 58 | 2019-08-13T13:27:27.000Z | 2022-03-28T11:00:56.000Z | tests/test_deep_link.py | edubadges/pylti1.3 | 46534384b79076d254ff3e94676ae6155e77a05e | [
"MIT"
] | 35 | 2019-10-11T18:26:02.000Z | 2022-03-29T08:33:00.000Z | from pylti1p3.deep_link_resource import DeepLinkResource
from .base import TestLinkBase
from .django_mixin import DjangoMixin
from .flask_mixin import FlaskMixin
class DeepLinkBase(TestLinkBase):
# pylint: disable=abstract-method
iss = 'http://imsglobal.org'
jwt_canvas_keys = {
"keys": [
... | 51.497436 | 113 | 0.645091 |
fcd0fcaf979dd7108cc4ae77823798afb1e5a49f | 38,286 | py | Python | test/test_aa.py | UdoGi/dark-matter | 3d49e89fa5e81f83144119f6216c5774176d203b | [
"MIT"
] | null | null | null | test/test_aa.py | UdoGi/dark-matter | 3d49e89fa5e81f83144119f6216c5774176d203b | [
"MIT"
] | null | null | null | test/test_aa.py | UdoGi/dark-matter | 3d49e89fa5e81f83144119f6216c5774176d203b | [
"MIT"
] | null | null | null | import six
from unittest import TestCase
from itertools import product
from dark.aa import (
PROPERTIES, ALL_PROPERTIES, PROPERTY_NAMES, ACIDIC,
ALIPHATIC, AROMATIC, BASIC_POSITIVE, HYDROPHILIC, HYDROPHOBIC,
HYDROXYLIC, NEGATIVE, NONE, POLAR, SMALL, SULPHUR, TINY, NAMES,
NAMES_TO_ABBREV1, ABBREV3, ABBR... | 32.473282 | 79 | 0.495873 |
594de0d2d1d616ae4f6469056808f6959c1db9d5 | 1,568 | py | Python | rookie/rookie/urls.py | chen1932390299/drf-backend-platform | 80c2fb56c5c3c1456196d2415e3173600d190457 | [
"Apache-2.0"
] | 1 | 2021-07-02T09:05:51.000Z | 2021-07-02T09:05:51.000Z | rookie/rookie/urls.py | chen1932390299/drf-backend-platform | 80c2fb56c5c3c1456196d2415e3173600d190457 | [
"Apache-2.0"
] | null | null | null | rookie/rookie/urls.py | chen1932390299/drf-backend-platform | 80c2fb56c5c3c1456196d2415e3173600d190457 | [
"Apache-2.0"
] | null | null | null | """rookie URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | 34.844444 | 86 | 0.702168 |
49fdf3fc089f01676a89acd3479502d1ce3f4a09 | 34,918 | py | Python | SVM_22_output.py | william-letton/ASSIST | b1b998de257a38f02206bccc8a1465bbd908b4f3 | [
"Unlicense"
] | null | null | null | SVM_22_output.py | william-letton/ASSIST | b1b998de257a38f02206bccc8a1465bbd908b4f3 | [
"Unlicense"
] | null | null | null | SVM_22_output.py | william-letton/ASSIST | b1b998de257a38f02206bccc8a1465bbd908b4f3 | [
"Unlicense"
] | null | null | null | ##Program requires installatioon of SciKit from https://scikit-learn.org/stable/install.html
##Program demo can be found at https://www.datacamp.com/community/tutorials/svm-classification-scikit-learn-python
##Input the starting parameters for running the classifier.
##Define the number of classifiers to be traine... | 42.949569 | 140 | 0.67206 |
f8775734d5c86a4daab64444a84f15e9ee198fc6 | 5,012 | py | Python | python_modules/dagster/dagster/core/definitions/job.py | RBrossard/dagster | 254d4274f592621b83947446789de2651bbc9fea | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/definitions/job.py | RBrossard/dagster | 254d4274f592621b83947446789de2651bbc9fea | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/definitions/job.py | RBrossard/dagster | 254d4274f592621b83947446789de2651bbc9fea | [
"Apache-2.0"
] | null | null | null | import warnings
from typing import TYPE_CHECKING, AbstractSet, Any, Dict, List, Optional
from dagster import check
from dagster.core.definitions.policy import RetryPolicy
from .graph import GraphDefinition
from .hook import HookDefinition
from .mode import ModeDefinition
from .pipeline import PipelineDefinition
from ... | 36.318841 | 97 | 0.674581 |
814cc24957d0a43dc96a0e0dd3e7faa39053d822 | 11,427 | py | Python | cool/views/view.py | 007gzs/django-cool | 3b4ed1a8ca020e6f798ca47e20169e5a854b4f24 | [
"BSD-3-Clause"
] | 11 | 2020-05-19T09:52:35.000Z | 2022-02-25T10:39:56.000Z | cool/views/view.py | 007gzs/django-cool | 3b4ed1a8ca020e6f798ca47e20169e5a854b4f24 | [
"BSD-3-Clause"
] | null | null | null | cool/views/view.py | 007gzs/django-cool | 3b4ed1a8ca020e6f798ca47e20169e5a854b4f24 | [
"BSD-3-Clause"
] | 1 | 2020-12-24T08:14:58.000Z | 2020-12-24T08:14:58.000Z | # encoding: utf-8
from __future__ import absolute_import, unicode_literals
import json
import logging
import time
from collections import OrderedDict
from django.conf import settings
from django.core.exceptions import ValidationError as CoreValidationError
from django.db.models import Model, QuerySet
from django.form... | 34.522659 | 119 | 0.633412 |
a3942f4d079fc4c8c26cc5aed944ba98b46a4dac | 493 | py | Python | main.py | Bikram-ghuku/traffic-symbol-recognition | 0eec3f39740ae3104979986c74a246f19d3d5b2d | [
"MIT"
] | 1 | 2022-03-14T12:58:19.000Z | 2022-03-14T12:58:19.000Z | main.py | Bikram-ghuku/traffic-symbol-recognition | 0eec3f39740ae3104979986c74a246f19d3d5b2d | [
"MIT"
] | null | null | null | main.py | Bikram-ghuku/traffic-symbol-recognition | 0eec3f39740ae3104979986c74a246f19d3d5b2d | [
"MIT"
] | null | null | null | from PIL import Image
from detect import get_data
import cv2
import os
import time
video = cv2.VideoCapture(0)
try:
os.mkdir('./cur-img')
print("Made cur image folder")
except FileExistsError:
print("Folder already exists, skipped")
while True:
ret, frame = video.read()
frame = cv2.resize(frame, (3... | 23.47619 | 45 | 0.667343 |
6e8812dd04aa375493a47d96d0cb6972cfe3ec26 | 190 | py | Python | division_into_terms_3.py | webkadiz/olympiad-problems | 620912815904c0f95b91ccd193ca3db0ea20e507 | [
"MIT"
] | null | null | null | division_into_terms_3.py | webkadiz/olympiad-problems | 620912815904c0f95b91ccd193ca3db0ea20e507 | [
"MIT"
] | null | null | null | division_into_terms_3.py | webkadiz/olympiad-problems | 620912815904c0f95b91ccd193ca3db0ea20e507 | [
"MIT"
] | null | null | null | n = int(input())
def div_slug(n, low = 1, res = []):
if n < 0:
return
elif n == 0:
print(*res)
return
for i in range(low, n + 1):
div_slug(n - i, i, res + [i])
div_slug(n) | 10.555556 | 35 | 0.515789 |
dce4b05cc7e6624fbd446bc5e50f8502e679f3d1 | 613 | py | Python | octicons16px/book.py | andrewp-as-is/octicons16px.py | 1272dc9f290619d83bd881e87dbd723b0c48844c | [
"Unlicense"
] | 1 | 2021-01-28T06:47:39.000Z | 2021-01-28T06:47:39.000Z | octicons16px/book.py | andrewp-as-is/octicons16px.py | 1272dc9f290619d83bd881e87dbd723b0c48844c | [
"Unlicense"
] | null | null | null | octicons16px/book.py | andrewp-as-is/octicons16px.py | 1272dc9f290619d83bd881e87dbd723b0c48844c | [
"Unlicense"
] | null | null | null |
OCTICON_BOOK = """
<svg class="octicon octicon-book" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.65... | 122.6 | 588 | 0.67863 |
ad24e3ab47cd0ca9620066a44feaeea72697d348 | 151 | py | Python | apps/admin/models.py | haisome/django-Julyblog | 272b0f240cb9695c742ae85a538a7e3e952474e4 | [
"MIT"
] | 1 | 2018-09-26T18:14:47.000Z | 2018-09-26T18:14:47.000Z | apps/admin/models.py | haisome/django-Julyblog | 272b0f240cb9695c742ae85a538a7e3e952474e4 | [
"MIT"
] | null | null | null | apps/admin/models.py | haisome/django-Julyblog | 272b0f240cb9695c742ae85a538a7e3e952474e4 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Images(models.Model):
image = models.ImageField(upload_to='%Y/%m', max_length=100) | 21.571429 | 64 | 0.735099 |
1d4434dfc39b54b2a93bf77f0e0072adb9ade57b | 10,576 | py | Python | pypacker/ppcap.py | dschoonwinkel/pypacker | 58c833f40207db746b0b2995ca3835a533e0258e | [
"BSD-3-Clause"
] | null | null | null | pypacker/ppcap.py | dschoonwinkel/pypacker | 58c833f40207db746b0b2995ca3835a533e0258e | [
"BSD-3-Clause"
] | null | null | null | pypacker/ppcap.py | dschoonwinkel/pypacker | 58c833f40207db746b0b2995ca3835a533e0258e | [
"BSD-3-Clause"
] | null | null | null | """
Packet read and write routines for pcap format.
See http://wiki.wireshark.org/Development/LibpcapFileFormat
"""
import sys
import logging
import struct
from pypacker import pypacker
# avoid unneeded references for performance reasons
unpack = struct.unpack
logger = logging.getLogger("pypacker")
# File magic num... | 26.243176 | 91 | 0.695064 |
77adbe3dd2c385cd5aa00bb70f69d9931f87e347 | 4,589 | py | Python | pybamm/solvers/scikits_dae_solver.py | danieljtait/PyBaMM | f9d6143770e4a01099f06e3574142424730f731a | [
"BSD-3-Clause"
] | null | null | null | pybamm/solvers/scikits_dae_solver.py | danieljtait/PyBaMM | f9d6143770e4a01099f06e3574142424730f731a | [
"BSD-3-Clause"
] | null | null | null | pybamm/solvers/scikits_dae_solver.py | danieljtait/PyBaMM | f9d6143770e4a01099f06e3574142424730f731a | [
"BSD-3-Clause"
] | null | null | null | #
# Solver class using Scipy's adaptive time stepper
#
import casadi
import pybamm
import numpy as np
import importlib
import scipy.sparse as sparse
scikits_odes_spec = importlib.util.find_spec("scikits")
if scikits_odes_spec is not None:
scikits_odes_spec = importlib.util.find_spec("scikits.odes")
if scikits... | 32.546099 | 79 | 0.58248 |
010bfc5798ad7cedd197f11348c91f726d4965e1 | 202 | py | Python | src/tensordataclasses/__init__.py | leaprovenzano/tensordataclasses | a70637dfd30614d1b20e48817f1087f46d2a877f | [
"MIT"
] | null | null | null | src/tensordataclasses/__init__.py | leaprovenzano/tensordataclasses | a70637dfd30614d1b20e48817f1087f46d2a877f | [
"MIT"
] | null | null | null | src/tensordataclasses/__init__.py | leaprovenzano/tensordataclasses | a70637dfd30614d1b20e48817f1087f46d2a877f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for tensordataclasses."""
__author__ = """Lea Provenzano"""
__email__ = 'leaprovenzano@gmail.com'
__version__ = '0.0.0'
from .base import tensordataclass
| 20.2 | 46 | 0.69802 |
2c7ad5fd8d52d85027433c34462f6174373c9090 | 477 | py | Python | localiser-ui/database/migrations/0007_localisedkey_contains_html.py | skydemarcoa/localiser | fe1780b60aa6c8691b933a4dde2e66dee9475233 | [
"Unlicense"
] | 9 | 2019-06-17T03:59:28.000Z | 2022-01-18T02:45:56.000Z | localiser-ui/database/migrations/0007_localisedkey_contains_html.py | skydemarcoa/localiser | fe1780b60aa6c8691b933a4dde2e66dee9475233 | [
"Unlicense"
] | 69 | 2019-06-15T17:33:20.000Z | 2022-03-28T04:12:27.000Z | localiser-ui/database/migrations/0007_localisedkey_contains_html.py | skydemarcoa/localiser | fe1780b60aa6c8691b933a4dde2e66dee9475233 | [
"Unlicense"
] | 3 | 2020-10-12T14:30:42.000Z | 2020-10-15T09:40:39.000Z | # Generated by Django 2.2.2 on 2019-08-28 06:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('database', '0006_auto_20190629_0916'),
]
operations = [
migrations.AddField(
model_name='localisedkey',
name='contai... | 25.105263 | 129 | 0.645702 |
58da99f3e5fd258818dcbf20125cbca293300222 | 5,856 | py | Python | samplers.py | Guneet-Dhillon/uniform-episodic-sampling | 2256ab03b94a14e52ca252393e80292c00ed3988 | [
"Apache-2.0"
] | 3 | 2021-09-10T21:25:48.000Z | 2021-12-20T09:46:42.000Z | samplers.py | Guneet-Dhillon/uniform-episodic-sampling | 2256ab03b94a14e52ca252393e80292c00ed3988 | [
"Apache-2.0"
] | null | null | null | samplers.py | Guneet-Dhillon/uniform-episodic-sampling | 2256ab03b94a14e52ca252393e80292c00ed3988 | [
"Apache-2.0"
] | 2 | 2021-10-30T04:54:10.000Z | 2021-12-12T13:21:55.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 25.025641 | 79 | 0.634051 |
e9556f86bb54254d0a4759c87cfc235e88cacd22 | 464 | py | Python | data/scripts/templates/object/mobile/shared_dressed_fed_dub_supporter_human_male_01.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/mobile/shared_dressed_fed_dub_supporter_human_male_01.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/mobile/shared_dressed_fed_dub_supporter_human_male_01.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Creature()
result.template = "object/mobile/shared_dressed_fed_dub_supporter_human_male_01.iff"
result.attribute_... | 27.294118 | 85 | 0.741379 |
f4a189bb3a45a238af6bdf750a90f65ca33fe98b | 4,329 | py | Python | cytopy/tests/conftest.py | JANHMS/CytoPy | 8537d707fa25645b55b4ec1e25fff9f19847fb1b | [
"MIT"
] | 41 | 2020-04-08T11:01:28.000Z | 2022-03-11T17:17:18.000Z | cytopy/tests/conftest.py | JANHMS/CytoPy | 8537d707fa25645b55b4ec1e25fff9f19847fb1b | [
"MIT"
] | 27 | 2020-04-07T14:59:24.000Z | 2022-03-01T20:43:34.000Z | cytopy/tests/conftest.py | JANHMS/CytoPy | 8537d707fa25645b55b4ec1e25fff9f19847fb1b | [
"MIT"
] | 8 | 2020-04-28T15:16:24.000Z | 2022-03-02T19:02:14.000Z | from cytopy.tests import assets
from ..data.population import Population
from ..data.project import Project
from ..data.experiment import FileGroup
from mongoengine.connection import connect, disconnect
import pandas as pd
import numpy as np
import pytest
import shutil
import sys
import os
@pytest.fixture(scope='sess... | 32.795455 | 101 | 0.584893 |
f0d7d03464ffdc54f1ea986d156093683649592a | 15,814 | py | Python | MISSIONS/sr_tasks/multiagent/environment_hi3d.py | binary-husky/hmp2g | 1a4f4093cd296f07348f4db4c7503aca6e1fb05c | [
"MIT"
] | 2 | 2022-02-25T12:04:55.000Z | 2022-03-15T02:37:59.000Z | MISSIONS/sr_tasks/multiagent/environment_hi3d.py | binary-husky/hmp2g | 1a4f4093cd296f07348f4db4c7503aca6e1fb05c | [
"MIT"
] | null | null | null | MISSIONS/sr_tasks/multiagent/environment_hi3d.py | binary-husky/hmp2g | 1a4f4093cd296f07348f4db4c7503aca6e1fb05c | [
"MIT"
] | null | null | null | import gym
from gym import spaces
from gym.envs.registration import EnvSpec
import numpy as np
from multiagent.multi_discrete import MultiDiscrete
from .scenarios.hunter_invader3d import ScenarioConfig
def normalize(mat):
return mat / (np.linalg.norm(mat, axis=-1)+1e-10)
# environment for all agents in the multi... | 39.046914 | 124 | 0.565701 |
e4e35904f53911d4bfe4a9b38fb16304703d35ce | 1,135 | py | Python | src/Python/101-200/130.SurroundedRegions.py | Peefy/PeefyLeetCode | 92156e4b48ba19e3f02e4286b9f733e9769a1dee | [
"Apache-2.0"
] | 2 | 2018-05-03T07:50:03.000Z | 2018-06-17T04:32:13.000Z | src/Python/101-200/130.SurroundedRegions.py | Peefy/PeefyLeetCode | 92156e4b48ba19e3f02e4286b9f733e9769a1dee | [
"Apache-2.0"
] | null | null | null | src/Python/101-200/130.SurroundedRegions.py | Peefy/PeefyLeetCode | 92156e4b48ba19e3f02e4286b9f733e9769a1dee | [
"Apache-2.0"
] | 3 | 2018-11-09T14:18:11.000Z | 2021-11-17T15:23:52.000Z |
class Solution:
def solve(self, board):
"""
Do not return anything, modify board in-place instead.
"""
if not board:
return
row = len(board)
col = len(board[0])
if row < 3 or col < 3:
return
def dfs(i, j):
if i < ... | 26.395349 | 76 | 0.346256 |
b2de52948ef7b4b76e6fc5a7b269ca3f41203d8b | 15,263 | py | Python | lib/streamlit/elements/slider.py | Sax-dot/sax-test-streamlit | 05dfef0c26bbdf3467c6236921a01afafa90f435 | [
"Apache-2.0"
] | null | null | null | lib/streamlit/elements/slider.py | Sax-dot/sax-test-streamlit | 05dfef0c26bbdf3467c6236921a01afafa90f435 | [
"Apache-2.0"
] | null | null | null | lib/streamlit/elements/slider.py | Sax-dot/sax-test-streamlit | 05dfef0c26bbdf3467c6236921a01afafa90f435 | [
"Apache-2.0"
] | null | null | null | from datetime import date, time, datetime, timedelta, timezone
from streamlit.proto.Slider_pb2 import Slider as SliderProto
from streamlit.errors import StreamlitAPIException
from streamlit.js_number import JSNumber
from streamlit.js_number import JSNumberBoundsException
from .utils import _get_widget_ui_value
class... | 40.593085 | 94 | 0.572234 |
a3d4cf992076f7b3e7a153b94705c4a991fddcc1 | 6,990 | py | Python | moto/kinesis/responses.py | gtourkas/moto | 307104417b579d23d02f670ff55217a2d4a16bee | [
"Apache-2.0"
] | 5,460 | 2015-01-01T01:11:17.000Z | 2022-03-31T23:45:38.000Z | moto/kinesis/responses.py | gtourkas/moto | 307104417b579d23d02f670ff55217a2d4a16bee | [
"Apache-2.0"
] | 4,475 | 2015-01-05T19:37:30.000Z | 2022-03-31T13:55:12.000Z | moto/kinesis/responses.py | gtourkas/moto | 307104417b579d23d02f670ff55217a2d4a16bee | [
"Apache-2.0"
] | 1,831 | 2015-01-14T00:00:44.000Z | 2022-03-31T20:30:04.000Z | import json
from moto.core.responses import BaseResponse
from .models import kinesis_backends
class KinesisResponse(BaseResponse):
@property
def parameters(self):
return json.loads(self.body)
@property
def kinesis_backend(self):
return kinesis_backends[self.region]
def create_st... | 36.789474 | 87 | 0.661803 |
6b69c1b83746526379838a60d4f8f94ae7b32bb1 | 14,906 | py | Python | models/planeTR_HRNet.py | SarahwXU/PlaneTR3D | 09b6df2e339bbadeb254af5c893174df0896353b | [
"Apache-2.0"
] | 1 | 2021-10-05T10:47:16.000Z | 2021-10-05T10:47:16.000Z | models/planeTR_HRNet.py | cherubicXN/PlaneTR3D | 09b6df2e339bbadeb254af5c893174df0896353b | [
"Apache-2.0"
] | null | null | null | models/planeTR_HRNet.py | cherubicXN/PlaneTR3D | 09b6df2e339bbadeb254af5c893174df0896353b | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import logging
import os
from models.position_encoding import build_position_encoding
from models.transformer import build_transformer
from models.HRNet import build_hrnet
logger = logging.getLogger(__name__)
use_biase = False
use_align_corners = Fals... | 41.636872 | 144 | 0.602912 |
1e0ae0a220273184e2ac187c2eae6c8c6b0dff52 | 4,028 | py | Python | nova/virt/images.py | bopopescu/trusted-nova | b440afb89f6f170c0831f5d6318a08ec41bc8c0a | [
"Apache-2.0"
] | 1 | 2015-07-15T08:51:16.000Z | 2015-07-15T08:51:16.000Z | nova/virt/images.py | bopopescu/trusted-nova | b440afb89f6f170c0831f5d6318a08ec41bc8c0a | [
"Apache-2.0"
] | null | null | null | nova/virt/images.py | bopopescu/trusted-nova | b440afb89f6f170c0831f5d6318a08ec41bc8c0a | [
"Apache-2.0"
] | 2 | 2019-06-12T00:52:15.000Z | 2020-07-24T10:35:29.000Z | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
# Copyright (c) 2010 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you m... | 33.016393 | 78 | 0.613952 |
7f158f7dd28b5b37481a84cee8859794d5d1b6a1 | 371 | py | Python | COMTRIS/modules/bs4_crawler/db_init.py | songyw0517/COMTRIS | 37fa22fcb6958dca43e830a84b85d457d801d9a5 | [
"MIT"
] | null | null | null | COMTRIS/modules/bs4_crawler/db_init.py | songyw0517/COMTRIS | 37fa22fcb6958dca43e830a84b85d457d801d9a5 | [
"MIT"
] | null | null | null | COMTRIS/modules/bs4_crawler/db_init.py | songyw0517/COMTRIS | 37fa22fcb6958dca43e830a84b85d457d801d9a5 | [
"MIT"
] | 5 | 2021-01-17T14:28:31.000Z | 2021-01-24T09:05:18.000Z | import os
from pymongo import *
def db_init():
myclient = MongoClient(os.environ["COMTRIS_MONGODB_URI"])
db = myclient['COMTRIS']
col = db["master_config"]
cnt_check = col.find_one({'key': 'quote_cnt'})
if not cnt_check:
col.insert_one({'key':'quote_cnt', 'value': 0})
print("bs4 init ... | 24.733333 | 61 | 0.644205 |
ef012756fe923278717de4c50daac857d3ac63f9 | 2,879 | py | Python | tests/runner.py | Irme/MONAI | dc4bf661831b14f4231cb325cc1b15d38c1e406c | [
"Apache-2.0"
] | null | null | null | tests/runner.py | Irme/MONAI | dc4bf661831b14f4231cb325cc1b15d38c1e406c | [
"Apache-2.0"
] | null | null | null | tests/runner.py | Irme/MONAI | dc4bf661831b14f4231cb325cc1b15d38c1e406c | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 MONAI Consortium
# 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, s... | 36.443038 | 88 | 0.678013 |
45243274f00c9c5175a167a6e36ccc47880bda82 | 935 | py | Python | Intermediate/025/exercise_1/main.py | AguilaDFG/Python | 23b7e69964e4214d9da1a9e5e09b1f48ed8c62f8 | [
"MIT"
] | null | null | null | Intermediate/025/exercise_1/main.py | AguilaDFG/Python | 23b7e69964e4214d9da1a9e5e09b1f48ed8c62f8 | [
"MIT"
] | null | null | null | Intermediate/025/exercise_1/main.py | AguilaDFG/Python | 23b7e69964e4214d9da1a9e5e09b1f48ed8c62f8 | [
"MIT"
] | null | null | null | #with open("weather_data.csv") as data:
# weather_data = data.readlines()
# print(weather_data)
#import csv
#with open("weather_data.csv") as data:
# weather_data = csv.reader(data)
# temperatures = []
# for row in weather_data:
# if row != "temp":
# temperatures.append(int(row[1]))
# ... | 27.5 | 66 | 0.706952 |
6d6b7de1618e4353fd79d5358683726518e0567a | 4,607 | py | Python | FreCog_Face_Detector_App/app.py | LasalJayawardena/Streamlit-Apps | c978af5bf14af92d9d7e2464331fa7b9c2643bc2 | [
"MIT"
] | null | null | null | FreCog_Face_Detector_App/app.py | LasalJayawardena/Streamlit-Apps | c978af5bf14af92d9d7e2464331fa7b9c2643bc2 | [
"MIT"
] | null | null | null | FreCog_Face_Detector_App/app.py | LasalJayawardena/Streamlit-Apps | c978af5bf14af92d9d7e2464331fa7b9c2643bc2 | [
"MIT"
] | 1 | 2021-09-06T20:57:59.000Z | 2021-09-06T20:57:59.000Z | # Import Libraries
import streamlit as st
import cv2
from PIL import Image,ImageEnhance
import numpy as np
import os
@st.cache
def load_image(img):
im = Image.open(img)
return im
face_cascade = cv2.CascadeClassifier('frecog/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('frecog/haarcas... | 28.614907 | 111 | 0.702843 |
76df5513308cc804a4475e20f3ce368e8654ac34 | 24,467 | py | Python | gslib/tests/util.py | matarrese/gsutil | b0972781e3e531dd2c740540861efdf854f1046d | [
"Apache-2.0"
] | null | null | null | gslib/tests/util.py | matarrese/gsutil | b0972781e3e531dd2c740540861efdf854f1046d | [
"Apache-2.0"
] | null | null | null | gslib/tests/util.py | matarrese/gsutil | b0972781e3e531dd2c740540861efdf854f1046d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2013 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 32.797587 | 84 | 0.720113 |
dbfe9989e62137b3d641416cdcb1069e46a8221a | 3,679 | py | Python | videoSummarizer/summarize/migrations/0001_initial.py | talsperre/LectureSummarizer | 4a0d5a51e80be77fb3715cb386a242871d5cf298 | [
"MIT"
] | 4 | 2020-09-20T19:37:26.000Z | 2021-12-12T08:03:17.000Z | videoSummarizer/summarize/migrations/0001_initial.py | talsperre/LectureSummarizer | 4a0d5a51e80be77fb3715cb386a242871d5cf298 | [
"MIT"
] | 28 | 2020-11-13T18:50:46.000Z | 2022-03-02T14:53:59.000Z | videoSummarizer/summarize/migrations/0001_initial.py | talsperre/LectureSummarizer | 4a0d5a51e80be77fb3715cb386a242871d5cf298 | [
"MIT"
] | 2 | 2021-03-23T11:32:43.000Z | 2021-03-24T03:50:37.000Z | # Generated by Django 3.0.5 on 2020-04-27 08:25
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import summarize.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USE... | 43.282353 | 165 | 0.583854 |
2b691a6d70224ded801a9a4942ec3e94c9daca7b | 19,487 | py | Python | final/card/untitled.py | JosuX/Albie | 417bb0065139e118bfacd45c58ac0272ee37ea90 | [
"MIT"
] | null | null | null | final/card/untitled.py | JosuX/Albie | 417bb0065139e118bfacd45c58ac0272ee37ea90 | [
"MIT"
] | null | null | null | final/card/untitled.py | JosuX/Albie | 417bb0065139e118bfacd45c58ac0272ee37ea90 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'untitled.ui'
#
# Created by: PyQt5 UI code generator 5.15.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtG... | 53.389041 | 177 | 0.713399 |
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