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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ba3d14185541e8c15e9893b318d33f3a291b4fb0 | 20,940 | py | Python | backend/mlarchive/archive/thread.py | dkg/mailarch | 562757c09e212c202c35231d7e7c588cd4d3fb65 | [
"BSD-3-Clause"
] | 6 | 2022-03-09T23:10:28.000Z | 2022-03-21T05:32:40.000Z | backend/mlarchive/archive/thread.py | dkg/mailarch | 562757c09e212c202c35231d7e7c588cd4d3fb65 | [
"BSD-3-Clause"
] | 5 | 2022-03-11T09:39:47.000Z | 2022-03-30T16:48:09.000Z | backend/mlarchive/archive/thread.py | dkg/mailarch | 562757c09e212c202c35231d7e7c588cd4d3fb65 | [
"BSD-3-Clause"
] | 4 | 2022-03-04T15:36:19.000Z | 2022-03-28T23:45:44.000Z | '''This module implements the Zawinksi threading algorithm.
https://www.jwz.org/doc/threading.html
The main function is process(), which takes a queryset, ie. all messages
in a list, and returns the root_node of a container tree representing
the thread. Use root_node.walk() to walk the container tree.
NOTE: There ar... | 33.397129 | 86 | 0.600621 | 3,153 | 0.150573 | 613 | 0.029274 | 0 | 0 | 0 | 0 | 6,232 | 0.297612 |
ba3d64caf9b23b40b170a7ff0947a7ebfbb45f53 | 105 | py | Python | app.py | dhain/sample-flask | 0c5f9bbaad80d409cda91164b2f8b2746d9a4fb0 | [
"MIT"
] | null | null | null | app.py | dhain/sample-flask | 0c5f9bbaad80d409cda91164b2f8b2746d9a4fb0 | [
"MIT"
] | null | null | null | app.py | dhain/sample-flask | 0c5f9bbaad80d409cda91164b2f8b2746d9a4fb0 | [
"MIT"
] | null | null | null | from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
i = 0
return str(i)
| 11.666667 | 23 | 0.609524 | 0 | 0 | 0 | 0 | 56 | 0.533333 | 0 | 0 | 3 | 0.028571 |
ba3d6d86036397b9fc9ae01e0520c0aaed2cc04e | 2,942 | py | Python | AIRtaxi-server/taxi.py | manuelnaranjo/AIRtaxi | a168c3f239b01274bc5c85dbe1e05ddd28fb4596 | [
"Apache-2.0"
] | 1 | 2015-09-19T06:45:23.000Z | 2015-09-19T06:45:23.000Z | AIRtaxi-server/taxi.py | manuelnaranjo/AIRtaxi | a168c3f239b01274bc5c85dbe1e05ddd28fb4596 | [
"Apache-2.0"
] | null | null | null | AIRtaxi-server/taxi.py | manuelnaranjo/AIRtaxi | a168c3f239b01274bc5c85dbe1e05ddd28fb4596 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2011 Manuel Francisco Naranjo <manuel at aircable dot net>
#
# 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.... | 23.725806 | 77 | 0.657716 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,072 | 0.364378 |
ba3dee974a940c282171ed9e43e895bc5c1ce3fc | 370 | py | Python | mjpoll/__init__.py | DarkWizarD24/mjpoll | 877eb45ca713a2e03a84deff4765f282b870e635 | [
"MIT"
] | null | null | null | mjpoll/__init__.py | DarkWizarD24/mjpoll | 877eb45ca713a2e03a84deff4765f282b870e635 | [
"MIT"
] | null | null | null | mjpoll/__init__.py | DarkWizarD24/mjpoll | 877eb45ca713a2e03a84deff4765f282b870e635 | [
"MIT"
] | null | null | null | # coding: utf-8
from flask import Flask
from flask_babel import Babel
from flask_bootstrap import Bootstrap
app = Flask(__name__)
app.config.from_pyfile('application.cfg')
app.secret_key = '_\xeb\xaa9\xea\xb9&\xe8\xdfx\xd4oKu\x01\xf3\x94d\x08\xdeGs\x11<' #TODO get if from config
babel = Babel(app)
Bootstrap(app)
... | 19.473684 | 107 | 0.775676 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.327027 |
ba3e99a2d1a0148697392807082e928f2f44d6e9 | 10,039 | py | Python | ci/scripts/python/nrf5_cmake/library.py | perfectco/cmake-nRF5x | 08b9158fa7bfa0c8641df468d48917dec46fb115 | [
"MIT"
] | 111 | 2017-11-21T06:21:18.000Z | 2022-03-30T07:40:03.000Z | ci/scripts/python/nrf5_cmake/library.py | perfectco/cmake-nRF5x | 08b9158fa7bfa0c8641df468d48917dec46fb115 | [
"MIT"
] | 41 | 2018-01-09T15:44:11.000Z | 2021-10-31T08:45:24.000Z | ci/scripts/python/nrf5_cmake/library.py | giuliocorradini/cmake-nRF5x | a5b5d489768dc397a7eddc57d4ad65e6b3039b08 | [
"MIT"
] | 39 | 2018-03-13T14:03:10.000Z | 2022-02-28T17:46:17.000Z | from __future__ import annotations
from unittest import TestCase
from enum import Enum
from typing import Dict, Iterable, Optional, Set, List
from jsonschema import validate as validate_json
from nrf5_cmake.property import Access, Property
from nrf5_cmake.version import Version
class LibraryProperty(Enum):
DEPE... | 30.237952 | 87 | 0.526248 | 9,749 | 0.971113 | 0 | 0 | 1,944 | 0.193645 | 0 | 0 | 793 | 0.078992 |
ba3fa1f81fc3f907994226a859f6bf6f9f5f75f2 | 1,149 | py | Python | Estacionamento/core/migrations/0007_auto_20180826_1328.py | 1ricardo66/Django2.0 | e29afefc908723525d60ea40da353a7ab5b27d1c | [
"Apache-2.0"
] | 1 | 2018-08-21T12:26:02.000Z | 2018-08-21T12:26:02.000Z | Estacionamento/core/migrations/0007_auto_20180826_1328.py | 1ricardo66/Django2.0 | e29afefc908723525d60ea40da353a7ab5b27d1c | [
"Apache-2.0"
] | null | null | null | Estacionamento/core/migrations/0007_auto_20180826_1328.py | 1ricardo66/Django2.0 | e29afefc908723525d60ea40da353a7ab5b27d1c | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.0.7 on 2018-08-26 13:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0006_parametros'),
]
operations = [
migrations.CreateModel(
name='MovRotativo',
... | 30.236842 | 114 | 0.562228 | 1,023 | 0.890339 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.169713 |
ba3faff0153dfc6fc7c4666344478aeca4379d35 | 246 | py | Python | gamla/data.py | 0xnurl/gamla | f3903ef5138a6fd94b910abf6ee7665e744d8537 | [
"MIT"
] | null | null | null | gamla/data.py | 0xnurl/gamla | f3903ef5138a6fd94b910abf6ee7665e744d8537 | [
"MIT"
] | null | null | null | gamla/data.py | 0xnurl/gamla | f3903ef5138a6fd94b910abf6ee7665e744d8537 | [
"MIT"
] | null | null | null | import dataclasses
import json
import dataclasses_json
def get_encode_config():
return dataclasses.field(
metadata=dataclasses_json.config(
encoder=lambda lst: sorted(lst, key=json.dumps, reverse=False)
)
)
| 18.923077 | 74 | 0.691057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ba40978bf21bdd4277341b0362355d60c177f3a7 | 2,069 | py | Python | src/installer/src/tortuga/package/rpm.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 33 | 2018-03-02T17:07:39.000Z | 2021-05-21T18:02:51.000Z | src/installer/src/tortuga/package/rpm.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 201 | 2018-03-05T14:28:24.000Z | 2020-11-23T19:58:27.000Z | src/installer/src/tortuga/package/rpm.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 23 | 2018-03-02T17:21:59.000Z | 2020-11-18T14:52:38.000Z | # Copyright 2008-2018 Univa 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 in... | 31.348485 | 78 | 0.628323 | 1,353 | 0.653939 | 0 | 0 | 0 | 0 | 0 | 0 | 1,205 | 0.582407 |
ba41ba647531a6e0fb784e885f85d47c2246f90c | 1,022 | py | Python | where/estimation/rejectors/gnss_pdop_cov.py | ingridfausk/where | b65398911075b7ddef3a3a1146efa428eae498fe | [
"MIT"
] | 16 | 2018-08-31T10:31:11.000Z | 2022-03-15T16:07:24.000Z | where/estimation/rejectors/gnss_pdop_cov.py | ingridfausk/where | b65398911075b7ddef3a3a1146efa428eae498fe | [
"MIT"
] | 5 | 2018-07-13T14:04:24.000Z | 2021-06-17T02:14:44.000Z | where/estimation/rejectors/gnss_pdop_cov.py | ingridfausk/where | b65398911075b7ddef3a3a1146efa428eae498fe | [
"MIT"
] | 15 | 2018-06-07T05:45:24.000Z | 2022-03-15T16:07:27.000Z | """Reject observations based on PDOP, which is based on estimated covariance matrix of unknowns
Description:
------------
Identifies observations from the dataset with PDOP greater than a configured limit.
"""
# External library imports
import numpy as np
# Midgard imports
from midgard.dev import plugins
# Where i... | 24.333333 | 95 | 0.726027 | 0 | 0 | 0 | 0 | 526 | 0.514677 | 0 | 0 | 572 | 0.559687 |
ba41f739b5b8880b18c2364e081ff83f4ded08cc | 1,248 | py | Python | main.py | TobisMa/GUI | b88ea203378be464f1daaad5c5d41baaecd43f82 | [
"MIT"
] | null | null | null | main.py | TobisMa/GUI | b88ea203378be464f1daaad5c5d41baaecd43f82 | [
"MIT"
] | null | null | null | main.py | TobisMa/GUI | b88ea203378be464f1daaad5c5d41baaecd43f82 | [
"MIT"
] | null | null | null | import pygame, time
from pygame.constants import QUIT, WINDOWCLOSE
#from src import *
win = pygame.display.set_mode([800,600], 16)
pygame.init()
quitcount = 0
while True:
win.fill([200, 200, 200])
for event in pygame.event.get():
if event.type in (
#pygame.QUIT,
#pygame.WINDOWCL... | 27.130435 | 95 | 0.559295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 522 | 0.418269 |
ba4270166ab265fb092eb79d9e9b77ce2ea5445d | 376 | py | Python | code/glucocheck/homepage/migrations/0009_auto_20210316_2008.py | kmcgreg5/Glucocheck | 4ab4ada7f967ae41c1241c94523d14e693e05dd4 | [
"FSFAP"
] | null | null | null | code/glucocheck/homepage/migrations/0009_auto_20210316_2008.py | kmcgreg5/Glucocheck | 4ab4ada7f967ae41c1241c94523d14e693e05dd4 | [
"FSFAP"
] | null | null | null | code/glucocheck/homepage/migrations/0009_auto_20210316_2008.py | kmcgreg5/Glucocheck | 4ab4ada7f967ae41c1241c94523d14e693e05dd4 | [
"FSFAP"
] | null | null | null | # Generated by Django 3.1.7 on 2021-03-16 20:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('homepage', '0008_auto_20210316_0229'),
]
operations = [
migrations.AlterField(
model_name='insulin',
name='dosage',
... | 19.789474 | 48 | 0.590426 | 283 | 0.75266 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 0.263298 |
ba43ab4474fde3f20ff82136cb2e5742c53c8ff0 | 4,838 | py | Python | qc3/libpango/fonts.py | wtfo-guru/queconverter | fc3529e46d5af1d90840c52ed9f58fb3c255523b | [
"BSD-2-Clause"
] | null | null | null | qc3/libpango/fonts.py | wtfo-guru/queconverter | fc3529e46d5af1d90840c52ed9f58fb3c255523b | [
"BSD-2-Clause"
] | null | null | null | qc3/libpango/fonts.py | wtfo-guru/queconverter | fc3529e46d5af1d90840c52ed9f58fb3c255523b | [
"BSD-2-Clause"
] | null | null | null | #
# Copyright (C) 2016-2020 by Ihor E. Novikov
# Copyright (C) 2020 by Krzysztof Broński
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License
# as published by the Free Software Foundation, either version 3
# of the License, or (at ... | 30.427673 | 84 | 0.713725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,400 | 0.49597 |
ba43edc0fc43df598c8d46e089a42825fd6726ad | 2,137 | py | Python | runserver.py | charbec1/pokemapfuntimesyay | d8301930c7733041114ca33fe26117d7157d9149 | [
"MIT"
] | null | null | null | runserver.py | charbec1/pokemapfuntimesyay | d8301930c7733041114ca33fe26117d7157d9149 | [
"MIT"
] | null | null | null | runserver.py | charbec1/pokemapfuntimesyay | d8301930c7733041114ca33fe26117d7157d9149 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import logging
from threading import Thread
from pogom import config
from pogom.app import Pogom
from pogom.utils import get_args, insert_mock_data, load_credentials
from pogom.search import search_loop
from pogom.models import create_tables, Pokemon
from pogom.pgo... | 30.971014 | 109 | 0.697707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 377 | 0.176416 |
ba45bd44680c7dc2e0849f1579c858f34a20a5ed | 3,695 | py | Python | feature/plot/label_window.py | yatszhash/kaggle-grasp-and-lift-eeg-detection | fd1785d20234579ab75e8bc3aa987baf46678cc9 | [
"MIT"
] | null | null | null | feature/plot/label_window.py | yatszhash/kaggle-grasp-and-lift-eeg-detection | fd1785d20234579ab75e8bc3aa987baf46678cc9 | [
"MIT"
] | null | null | null | feature/plot/label_window.py | yatszhash/kaggle-grasp-and-lift-eeg-detection | fd1785d20234579ab75e8bc3aa987baf46678cc9 | [
"MIT"
] | null | null | null | import re
from multiprocessing.pool import Pool
from pathlib import Path
from typing import Union
import numpy as np
import pandas as pd
from google.cloud import storage
from feature.plot.to_images import PlotWriter
from utils.data.eegdataloader import EegDataLoader
gs_client = storage.Client()
LABEL_FILE_NAME = "ev... | 39.731183 | 105 | 0.660081 | 3,116 | 0.843302 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.081461 |
ba45fe8e373630e80ff13ce801d49d7f931b8428 | 1,244 | py | Python | volatility/contrib/plugins/disablewarnings.py | williamclot/MemoryVisualizer | 2ff9f30f07519d6578bc36c12f8d08acc9cb4383 | [
"MIT"
] | 2 | 2018-07-16T13:30:40.000Z | 2018-07-17T12:02:05.000Z | volatility/contrib/plugins/disablewarnings.py | williamclot/MemoryVisualizer | 2ff9f30f07519d6578bc36c12f8d08acc9cb4383 | [
"MIT"
] | null | null | null | volatility/contrib/plugins/disablewarnings.py | williamclot/MemoryVisualizer | 2ff9f30f07519d6578bc36c12f8d08acc9cb4383 | [
"MIT"
] | null | null | null | # Volatility
#
# Authors:
# Mike Auty <[email protected]>
#
# This file is part of Volatility.
#
# Volatility is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your op... | 34.555556 | 78 | 0.716238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 834 | 0.670418 |
ba461124d0a9ab2a2e0ef88850964f9e884cd6d4 | 1,471 | py | Python | tests/test_application_support.py | sturmianseq/thundra-agent-python | 4cee02d790eb7b8e4dea4e2e9dcd1f67533b1c56 | [
"Apache-2.0"
] | 22 | 2018-03-05T20:02:46.000Z | 2021-04-09T12:00:18.000Z | tests/test_application_support.py | sturmianseq/thundra-agent-python | 4cee02d790eb7b8e4dea4e2e9dcd1f67533b1c56 | [
"Apache-2.0"
] | 13 | 2018-03-26T07:57:57.000Z | 2021-06-29T14:22:52.000Z | tests/test_application_support.py | thundra-io/thundra-agent-python | 448e18c17d8730c381b2e2a773782cf80c5a7cfb | [
"Apache-2.0"
] | 3 | 2021-08-07T14:19:23.000Z | 2021-12-08T15:35:40.000Z | from thundra.application.application_info_provider import ApplicationInfoProvider
from thundra.config import config_names
from thundra.config.config_provider import ConfigProvider
def test_if_can_get_integer_tag():
tag_name = 'integerField'
(env_key, env_val) = (config_names.THUNDRA_APPLICATION_TAG_PREFIX + t... | 33.431818 | 91 | 0.78518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.039429 |
ba47aae912bab03eeec32d53c9d7b3b8de1668c7 | 54,161 | py | Python | rubikscolorresolver/cube_555.py | jmsutariya/cube-tracker | 2296d68883acbd3430110318420d09f98c186e91 | [
"MIT"
] | 29 | 2017-03-03T23:47:53.000Z | 2021-12-20T19:43:35.000Z | rubikscolorresolver/cube_555.py | jmsutariya/cube-tracker | 2296d68883acbd3430110318420d09f98c186e91 | [
"MIT"
] | 6 | 2017-03-12T05:25:27.000Z | 2022-03-27T08:20:25.000Z | rubikscolorresolver/cube_555.py | jmsutariya/cube-tracker | 2296d68883acbd3430110318420d09f98c186e91 | [
"MIT"
] | 18 | 2017-08-31T13:28:58.000Z | 2021-12-20T19:43:09.000Z | corner_tuples = (
(1, 26, 105),
(5, 101, 80),
(21, 51, 30),
(25, 76, 55),
(126, 50, 71),
(130, 75, 96),
(146, 125, 46),
(150, 100, 121),
)
edge_orbit_id = {
2: 0,
3: 1,
4: 0,
6: 0,
11: 1,
16: 0,
10: 0,
15: 1,
20: 0,
22: 0,
23: 1,
24: 0, #... | 27.96128 | 44 | 0.255848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15,718 | 0.290209 |
ba4893ab88ff1d7c68c6773f7219ebc4e78b9dfe | 697 | py | Python | icekit_events/migrations/0018_auto_20170314_1401.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 52 | 2016-09-13T03:50:58.000Z | 2022-02-23T16:25:08.000Z | icekit_events/migrations/0018_auto_20170307_1458.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 304 | 2016-08-11T14:17:30.000Z | 2020-07-22T13:35:18.000Z | icekit_events/migrations/0018_auto_20170314_1401.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 12 | 2016-09-21T18:46:35.000Z | 2021-02-15T19:37:50.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import colorful.fields
class Migration(migrations.Migration):
dependencies = [
('icekit_events', '0017_eventtype_color'),
]
operations = [
migrations.AlterField(
model_na... | 33.190476 | 317 | 0.61406 | 565 | 0.810617 | 0 | 0 | 0 | 0 | 0 | 0 | 288 | 0.413199 |
ba48ba24fda8aa0f77aea9998163750beb72aff6 | 566 | py | Python | staff_erp/models/salary_info.py | saurabh-0777/odoo_project | c400ce051fcb69e7649285231080f6f6eddb2f8f | [
"MIT"
] | null | null | null | staff_erp/models/salary_info.py | saurabh-0777/odoo_project | c400ce051fcb69e7649285231080f6f6eddb2f8f | [
"MIT"
] | null | null | null | staff_erp/models/salary_info.py | saurabh-0777/odoo_project | c400ce051fcb69e7649285231080f6f6eddb2f8f | [
"MIT"
] | null | null | null | from odoo import api, fields, models
class SalaryInfo(models.Model):
_name = 'salary.info'
_rec_name = 'salary'
name = fields.Many2one(comodel_name='staff.info')
staff_type = fields.Selection([('std_1', 'teaching'),
('std_2', 'account'),
... | 33.294118 | 59 | 0.503534 | 526 | 0.929329 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.222615 |
ba495e193a583955eddeccb6fd82723a1f293193 | 1,217 | py | Python | backend/apps/accounts/models.py | tingyeeh/Full-Backend | a4338019ed7e6c7e5059cb3c6f805d3c589588b1 | [
"MIT"
] | null | null | null | backend/apps/accounts/models.py | tingyeeh/Full-Backend | a4338019ed7e6c7e5059cb3c6f805d3c589588b1 | [
"MIT"
] | null | null | null | backend/apps/accounts/models.py | tingyeeh/Full-Backend | a4338019ed7e6c7e5059cb3c6f805d3c589588b1 | [
"MIT"
] | null | null | null | from django.db import models
class Account(models.Model):
"""
Account for or
"""
name = models.CharField(pgettext_lazy(
"Name of Account", "Name"), max_length=64)
email = models.EmailField()
phone = PhoneNumberField(null=True)
industry = models.CharField(
_("Industry Type"),
... | 32.026316 | 108 | 0.685292 | 100 | 0.082169 | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 0.328677 |
ba49b434abc0426d76176a6199f207345e908862 | 2,318 | py | Python | data/datagen/explicit_1d.py | verdverm/pypge | 7f94595735c08e147bd17056f15d944da61eec6d | [
"MIT"
] | 43 | 2015-09-09T21:22:01.000Z | 2021-05-04T08:15:10.000Z | data/datagen/explicit_1d.py | verdverm/pypge | 7f94595735c08e147bd17056f15d944da61eec6d | [
"MIT"
] | 10 | 2016-03-31T21:54:06.000Z | 2019-11-26T22:40:32.000Z | data/datagen/explicit_1d.py | verdverm/pypge | 7f94595735c08e147bd17056f15d944da61eec6d | [
"MIT"
] | 9 | 2016-06-13T16:14:32.000Z | 2020-02-26T14:26:42.000Z | from pypge.benchmarks import explicit
import numpy as np
# visualization libraries
import matplotlib.pyplot as plt
# Set your output directories
img_dir = "../img/explicit/"
data_dir = "../benchmarks/explicit/"
names = [
"koza_01",
"koza_02",
"koza_03",
"lipson_01",
"lipson_02",
"lipson_03",
"nguyen_01",
... | 21.462963 | 74 | 0.672994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 583 | 0.25151 |
ba4ba7e002ea6d31161dc21ca21b7718fc4b612c | 1,193 | py | Python | build.py | ShawnFrueh/actions_test | c0fdfce36970a1d7e9620871d6a9de2b5c5ed1e9 | [
"MIT"
] | null | null | null | build.py | ShawnFrueh/actions_test | c0fdfce36970a1d7e9620871d6a9de2b5c5ed1e9 | [
"MIT"
] | null | null | null | build.py | ShawnFrueh/actions_test | c0fdfce36970a1d7e9620871d6a9de2b5c5ed1e9 | [
"MIT"
] | null | null | null | from os import mkdir
from pathlib import Path
from shutil import rmtree
from zipfile import ZipFile, ZIP_DEFLATED
# Get the root path to this repo
repo_dir = Path(__file__).parent
# Get the kit directory
kit_dir = repo_dir / "test_kit"
# Get the build directory
build_dir = repo_dir / "build"
# Get the license file
lic... | 30.589744 | 92 | 0.732607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 457 | 0.383068 |
ba4bfbd9b48331c0a448707899792ff20164dd6d | 4,557 | py | Python | examples/salesforce_to_bigquery_example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 138 | 2018-11-28T21:42:44.000Z | 2022-03-30T17:26:35.000Z | examples/salesforce_to_bigquery_example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 36 | 2019-02-19T18:33:20.000Z | 2022-01-24T18:02:44.000Z | examples/salesforce_to_bigquery_example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 54 | 2018-12-06T05:47:32.000Z | 2022-02-21T22:01:01.000Z | ###########################################################################
#
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/l... | 42.194444 | 175 | 0.675664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,845 | 0.624314 |
ba4cb12b8de5610b0cb63dfb5d497fc87e99f2ea | 1,965 | py | Python | cortaswamp/authentication/models.py | parthakonda/cortaswamp-backend | 5e6875cbe994931cd747ac0d614250e3a6649500 | [
"MIT"
] | null | null | null | cortaswamp/authentication/models.py | parthakonda/cortaswamp-backend | 5e6875cbe994931cd747ac0d614250e3a6649500 | [
"MIT"
] | null | null | null | cortaswamp/authentication/models.py | parthakonda/cortaswamp-backend | 5e6875cbe994931cd747ac0d614250e3a6649500 | [
"MIT"
] | null | null | null | import uuid
from django.db import models
from cortaswamp import enums
from django.contrib.auth.models import AbstractBaseUser, UserManager
from django.contrib.postgres.fields import JSONField
class UserAccountManager(UserManager):
def get_by_natural_key(self, username):
"""
To match against case i... | 33.87931 | 79 | 0.690076 | 1,765 | 0.898219 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.203053 |
ba4d573b166c76762e7e2415d9817e7041d732f6 | 341 | py | Python | tweetsender/util.py | Udomomo/tweetsender | ac26da8d43945031c62f194ee41652fa819ed02f | [
"MIT"
] | null | null | null | tweetsender/util.py | Udomomo/tweetsender | ac26da8d43945031c62f194ee41652fa819ed02f | [
"MIT"
] | 8 | 2019-01-15T02:15:02.000Z | 2021-06-25T15:33:11.000Z | tweetsender/util.py | Udomomo/tweetsender | ac26da8d43945031c62f194ee41652fa819ed02f | [
"MIT"
] | null | null | null | import os, json
CONFIG_PATH = os.path.expanduser('~') + os.sep + '.tweetsender_config.json'
def load_config(path):
if not os.path.exists(path):
return {}
with open(path, 'r') as f:
config = json.load(f)
return config
def update_config(config, path):
with open(path, 'w') as f:
... | 22.733333 | 75 | 0.618768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.102639 |
ba4d64f567cc59042b33bbd3df817e5e5f04d4b3 | 619 | py | Python | src/telegram/views/messages.py | Roboy/tss19-funboy | 7d4341ea3be506c43e8dd23c11cd8403905ddf8a | [
"BSD-3-Clause"
] | null | null | null | src/telegram/views/messages.py | Roboy/tss19-funboy | 7d4341ea3be506c43e8dd23c11cd8403905ddf8a | [
"BSD-3-Clause"
] | 15 | 2020-03-21T00:33:11.000Z | 2022-03-12T00:19:42.000Z | src/telegram/views/messages.py | Roboy/tss19-funboy | 7d4341ea3be506c43e8dd23c11cd8403905ddf8a | [
"BSD-3-Clause"
] | 1 | 2021-05-06T17:32:02.000Z | 2021-05-06T17:32:02.000Z |
def start_message():
return f"* Welcome to Funboy Joker bot! *\n" \
f"\n" \
f"*DISCLAIMER:*\n" \
f"This is a research experiment aiming to improve computer-generated humour. \n" \
f"It may contain offensive language! \n" \
f"This bot will ask you to rate autom... | 47.615385 | 94 | 0.597738 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 459 | 0.741519 |
ba4e5a47df9a1c04c2352fe65ad51bdbf29bb5ea | 42 | py | Python | Blinkee/Utils/__init__.py | terenaa/is-blinkee-nearby | 0ebf4d3007395ebe6f9283dd09ab325b8f361be2 | [
"MIT"
] | 1 | 2019-09-18T03:30:59.000Z | 2019-09-18T03:30:59.000Z | Blinkee/Utils/__init__.py | terenaa/is-blinkee-nearby | 0ebf4d3007395ebe6f9283dd09ab325b8f361be2 | [
"MIT"
] | 3 | 2018-08-27T11:55:36.000Z | 2021-08-24T16:54:36.000Z | Blinkee/Utils/__init__.py | terenaa/is-blinkee-nearby | 0ebf4d3007395ebe6f9283dd09ab325b8f361be2 | [
"MIT"
] | null | null | null | from .Cache import *
from .Utils import *
| 14 | 20 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ba4ed8f42161c47e07364d23da358704878de3a9 | 539 | py | Python | app/controller/yushu_book.py | dollarkillerx/PyFlaskLearning | b2c7d76572f9ec4a5ad17541f47aa06d22a2d153 | [
"MIT"
] | null | null | null | app/controller/yushu_book.py | dollarkillerx/PyFlaskLearning | b2c7d76572f9ec4a5ad17541f47aa06d22a2d153 | [
"MIT"
] | null | null | null | app/controller/yushu_book.py | dollarkillerx/PyFlaskLearning | b2c7d76572f9ec4a5ad17541f47aa06d22a2d153 | [
"MIT"
] | null | null | null | from utils.http import HTTP
class YuShuBook:
isbn_url = 'http://t.yushu.im/v2/book/isbn/{}'
keyword_url = 'http://t.yushu.im/v2/book/search?q={}&count={}&start={}'
@classmethod
def search_by_isbn(cls, isbn):
url = YuShuBook.isbn_url.format(isbn)
result = HTTP.get(url)
# dict j... | 26.95 | 75 | 0.634508 | 508 | 0.942486 | 0 | 0 | 353 | 0.654917 | 0 | 0 | 103 | 0.191095 |
ba4f1ca539168f2211232cbdac786ec39f55d895 | 2,724 | py | Python | data_management/test/test_network_data_prep/TestAddOrientationAngleToLines.py | conklinbd/solutions-geoprocessing-toolbox | 7afab793ea34b7e7cb7e32757e8a150b6637ffd2 | [
"Apache-2.0"
] | null | null | null | data_management/test/test_network_data_prep/TestAddOrientationAngleToLines.py | conklinbd/solutions-geoprocessing-toolbox | 7afab793ea34b7e7cb7e32757e8a150b6637ffd2 | [
"Apache-2.0"
] | null | null | null | data_management/test/test_network_data_prep/TestAddOrientationAngleToLines.py | conklinbd/solutions-geoprocessing-toolbox | 7afab793ea34b7e7cb7e32757e8a150b6637ffd2 | [
"Apache-2.0"
] | 1 | 2018-10-25T15:52:41.000Z | 2018-10-25T15:52:41.000Z | #------------------------------------------------------------------------------
# Copyright 2013 Esri
# 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/LICENS... | 33.62963 | 101 | 0.653451 | 39 | 0.014317 | 0 | 0 | 0 | 0 | 0 | 0 | 1,730 | 0.635095 |
ba502f35836768f2cffa7616e7935f29ca032480 | 623 | py | Python | learn/services/repetition.py | Aigrefin/py3learn | 8104315689caff2523bda3b4ad70a807f4a43fa7 | [
"MIT"
] | null | null | null | learn/services/repetition.py | Aigrefin/py3learn | 8104315689caff2523bda3b4ad70a807f4a43fa7 | [
"MIT"
] | 1 | 2021-06-10T19:05:49.000Z | 2021-06-10T19:05:49.000Z | learn/services/repetition.py | Aigrefin/py3learn | 8104315689caff2523bda3b4ad70a807f4a43fa7 | [
"MIT"
] | null | null | null | import datetime
import math
import django
from py3njection import inject
from learn.infrastructure.configuration import LearnConfiguration
from learn.learn_base_settings import available_settings
@inject
def compute_next_repetition(successes, conf: LearnConfiguration):
next_repetition_delta = float(conf.get_con... | 36.647059 | 110 | 0.760835 | 0 | 0 | 0 | 0 | 422 | 0.677368 | 0 | 0 | 0 | 0 |
ba50f0e38be2ab31ee4582ffc578be5f6fbd27ec | 632 | py | Python | apps/publications/migrations/0026_title_type_data_migration.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | 1 | 2019-12-12T15:38:42.000Z | 2019-12-12T15:38:42.000Z | apps/publications/migrations/0026_title_type_data_migration.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | apps/publications/migrations/0026_title_type_data_migration.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.8 on 2021-06-15 08:51
from django.db import migrations
def fix_unknown_pub_types(apps, schema_editor):
Title = apps.get_model('publications', 'Title')
Title.objects.filter(pub_type='U', issn='', eissn='').exclude(isbn='').update(pub_type='B')
Title.objects.filter(pub_type='U', i... | 25.28 | 95 | 0.681962 | 211 | 0.333861 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.218354 |
ba54fc81a6a32822f3703f1f0570b73ce483b245 | 196 | py | Python | torchtable/operator/__init__.py | keitakurita/torchtable | e3ae98b5c5b2e809a43787a111bb30ca7f0240b9 | [
"MIT"
] | 2 | 2019-05-14T13:23:58.000Z | 2020-01-16T03:50:24.000Z | torchtable/operator/__init__.py | keitakurita/torchtable | e3ae98b5c5b2e809a43787a111bb30ca7f0240b9 | [
"MIT"
] | null | null | null | torchtable/operator/__init__.py | keitakurita/torchtable | e3ae98b5c5b2e809a43787a111bb30ca7f0240b9 | [
"MIT"
] | 1 | 2019-04-28T20:13:43.000Z | 2019-04-28T20:13:43.000Z | from .core import *
__all__ = ["Operator", "LambdaOperator", "TransformerOperator",
"Normalize", "FillMissing", "Vocab", "Categorize",
"ToTensor", "UnknownCategoryError", ]
| 32.666667 | 63 | 0.637755 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.622449 |
ba591954fd47661d8b51e8d547bd2d12229468b7 | 1,358 | py | Python | trainer/model.py | Antoine-BL/chess-ai.py | c68ca76063c14b1b8b91d338c8cead9f411521ca | [
"MIT"
] | 2 | 2019-08-21T15:52:29.000Z | 2021-09-11T23:07:17.000Z | trainer/model.py | Antoine-BL/chess-ai.py | c68ca76063c14b1b8b91d338c8cead9f411521ca | [
"MIT"
] | 5 | 2020-09-25T23:15:31.000Z | 2022-02-10T00:07:33.000Z | trainer/model.py | Antoine-BL/EuroTruck-ai.py | c68ca76063c14b1b8b91d338c8cead9f411521ca | [
"MIT"
] | null | null | null | from tensorflow.python.keras.layers import Lambda, Convolution2D, BatchNormalization, Flatten, Dense, Cropping2D
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.optimizers import Adam
from trainer.util import normalize, resize
def model():
m = Sequential()
m.add(Convolutio... | 28.291667 | 112 | 0.67894 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.053756 |
ba5a6263e9060a2bbe3f845d221d8dd4af1cb784 | 3,292 | py | Python | node/blockchain/utils/lock.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 18 | 2021-11-30T04:02:13.000Z | 2022-03-24T12:33:57.000Z | node/blockchain/utils/lock.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 1 | 2022-02-04T17:07:38.000Z | 2022-02-04T17:07:38.000Z | node/blockchain/utils/lock.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 5 | 2022-01-31T05:28:13.000Z | 2022-03-08T17:25:31.000Z | import functools
import logging
import time
from typing import Optional
from django.conf import settings
from django.db import transaction
from pymongo.errors import DuplicateKeyError
from node.core.database import get_database
from node.core.exceptions import BlockchainIsNotLockedError, BlockchainLockingError, Block... | 29.132743 | 109 | 0.662515 | 0 | 0 | 0 | 0 | 1,038 | 0.31531 | 0 | 0 | 467 | 0.141859 |
ba5bd16d958d549e745c8628fc70adf5078acfe8 | 1,272 | py | Python | researches/ocr/textbox/tb_preset.py | loveorchids/sroie2019 | d6bec71cdf0d4b4f7fc24a9ed6f1838da6fada05 | [
"Apache-2.0"
] | 14 | 2019-05-06T11:28:29.000Z | 2020-05-18T22:36:09.000Z | researches/ocr/textbox/tb_preset.py | loveorchids/sroie2019 | d6bec71cdf0d4b4f7fc24a9ed6f1838da6fada05 | [
"Apache-2.0"
] | 3 | 2019-09-02T16:11:32.000Z | 2019-10-22T14:47:03.000Z | researches/ocr/textbox/tb_preset.py | whq-hqw/sroie2019 | d6bec71cdf0d4b4f7fc24a9ed6f1838da6fada05 | [
"Apache-2.0"
] | 5 | 2020-06-10T05:13:46.000Z | 2021-07-29T03:38:55.000Z | def GeneralPattern(args):
args.path = "~/Downloads/dataset/ocr"
# this will create a folder named "_text_detection" under "~/Pictures/dataset/ocr"
args.code_name = "_text_detection"
# Set it to True to make experiment result reproducible
args.deterministic_train = False
args.cudnn_benchmark = Fa... | 28.266667 | 86 | 0.673742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 446 | 0.350629 |
ba5bf2bbd4612e848682a3b4059b75e3c19f0d5e | 5,243 | py | Python | src/ml_things/text_functions.py | techthiyanes/ml_things | ddeeb16c55cf1d55cf80963217a8d1bffd0913cc | [
"Apache-2.0"
] | 153 | 2020-10-10T05:12:16.000Z | 2022-03-17T07:48:42.000Z | src/ml_things/text_functions.py | techthiyanes/ml_things | ddeeb16c55cf1d55cf80963217a8d1bffd0913cc | [
"Apache-2.0"
] | 21 | 2020-09-15T22:52:43.000Z | 2022-02-21T15:27:16.000Z | src/ml_things/text_functions.py | techthiyanes/ml_things | ddeeb16c55cf1d55cf80963217a8d1bffd0913cc | [
"Apache-2.0"
] | 42 | 2020-10-11T07:33:32.000Z | 2022-03-11T01:43:54.000Z | # coding=utf-8
# Copyright 2020 George Mihaila.
#
# 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 agr... | 37.719424 | 119 | 0.682815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,746 | 0.714476 |
ba5efff6aa38c2a1a87edc12bea27198aedf9cbd | 1,027 | py | Python | samples/timeit_3.py | thierrydecker/learning-python | d67242740c33037e1ff270a8e2107f915e0fd44a | [
"Apache-2.0"
] | 1 | 2020-11-05T13:34:30.000Z | 2020-11-05T13:34:30.000Z | samples/timeit_3.py | thierrydecker/learning-python | d67242740c33037e1ff270a8e2107f915e0fd44a | [
"Apache-2.0"
] | null | null | null | samples/timeit_3.py | thierrydecker/learning-python | d67242740c33037e1ff270a8e2107f915e0fd44a | [
"Apache-2.0"
] | 1 | 2019-01-21T08:46:37.000Z | 2019-01-21T08:46:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import timeit
import ssl
from urllib.request import Request, urlopen
class Timer(object):
def __init__(self, verbose=False):
self.verbose = verbose
self.timer = timeit.default_timer
def __enter__(self):
self.start = timeit.default_timer()... | 24.452381 | 88 | 0.642648 | 471 | 0.458617 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.148004 |
ba600423f3d623956a76156da8b2dffa5d6cebec | 368 | py | Python | pajbot/migration_revisions/db/0006_create_user_rank_materialized_view.py | MrBean355/pajbot | 3f27aabccfb242f5e3e8eedd20c97633b0d39950 | [
"MIT"
] | 145 | 2019-06-08T15:38:40.000Z | 2022-03-29T22:51:47.000Z | pajbot/migration_revisions/db/0006_create_user_rank_materialized_view.py | MrBean355/pajbot | 3f27aabccfb242f5e3e8eedd20c97633b0d39950 | [
"MIT"
] | 671 | 2019-05-26T22:19:08.000Z | 2022-03-31T06:00:49.000Z | pajbot/migration_revisions/db/0006_create_user_rank_materialized_view.py | MrBean355/pajbot | 3f27aabccfb242f5e3e8eedd20c97633b0d39950 | [
"MIT"
] | 105 | 2019-05-25T18:22:13.000Z | 2022-02-23T00:57:27.000Z | def up(cursor, bot):
cursor.execute(
"""
CREATE MATERIALIZED VIEW user_rank AS (
SELECT
id as user_id,
RANK() OVER (ORDER BY points DESC) points_rank,
RANK() OVER (ORDER BY num_lines DESC) num_lines_rank
FROM "user"
)
"""
)
cursor.execu... | 26.285714 | 64 | 0.57337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 291 | 0.790761 |
ba6167c779919c2246e1ee1cf2219ff1f87621e9 | 9,594 | py | Python | lib/plugins/pcap/pcapsummary.py | 7h3rAm/rudra | bfbd5b81e6b262052e0810574a59d99903170f6a | [
"CC-BY-4.0"
] | 22 | 2015-08-10T04:47:45.000Z | 2021-02-28T06:15:30.000Z | lib/plugins/pcap/pcapsummary.py | 7h3rAm/rudra | bfbd5b81e6b262052e0810574a59d99903170f6a | [
"CC-BY-4.0"
] | 2 | 2015-11-22T15:48:37.000Z | 2019-01-07T19:49:06.000Z | lib/plugins/pcap/pcapsummary.py | 7h3rAm/rudra | bfbd5b81e6b262052e0810574a59d99903170f6a | [
"CC-BY-4.0"
] | 19 | 2015-09-20T16:31:25.000Z | 2020-03-04T10:04:48.000Z | from lib.external.PluginManager import PluginInterface, Manager
from prettytable import PrettyTable
from aayudh import utils, fileutils
import sys
import os
current_dir = os.path.abspath(os.path.dirname(__file__))
root_dir = os.path.normpath(os.path.join(current_dir, ".."))
sys.path.insert(0, root_dir)
class pcaps... | 52.42623 | 157 | 0.607046 | 9,242 | 0.96331 | 0 | 0 | 0 | 0 | 0 | 0 | 2,488 | 0.259329 |
ba61b5bc2650055217908e9853377121e0e5e11e | 5,321 | py | Python | wilson/translate/__init__.py | bednya/wilson | 2cd803bc298c3f967401aed119f617fc5d7ba5c0 | [
"MIT"
] | 24 | 2018-04-16T15:01:39.000Z | 2022-01-26T07:16:22.000Z | wilson/translate/__init__.py | bednya/wilson | 2cd803bc298c3f967401aed119f617fc5d7ba5c0 | [
"MIT"
] | 85 | 2018-04-27T08:17:00.000Z | 2022-02-22T16:47:14.000Z | wilson/translate/__init__.py | bednya/wilson | 2cd803bc298c3f967401aed119f617fc5d7ba5c0 | [
"MIT"
] | 17 | 2018-04-27T07:59:35.000Z | 2022-02-09T22:46:05.000Z | """Provides basis translators for SMEFT and and WET that can be used with the
`wcxf` Python package."""
from . import smeft, smeft_higgs
from . import wet
from wilson import wcxf
@wcxf.translator('SMEFT', 'Higgs-Warsaw up', 'Warsaw up')
def higgs_up_to_warsaw_up(C, scale, parameters, sectors=None):
return smeft... | 33.677215 | 77 | 0.7352 | 0 | 0 | 0 | 0 | 5,053 | 0.949634 | 0 | 0 | 762 | 0.143206 |
ba65bc096367d297da217b8327a7fdb4c4c548e9 | 7,928 | py | Python | tests/test_nakfa.py | fscm/multicurrency | 5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91 | [
"MIT"
] | 2 | 2021-03-26T18:19:57.000Z | 2021-07-27T01:15:50.000Z | tests/test_nakfa.py | fscm/multicurrency | 5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91 | [
"MIT"
] | null | null | null | tests/test_nakfa.py | fscm/multicurrency | 5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
#
# copyright: 2020-2022, Frederico Martins
# author: Frederico Martins <http://github.com/fscm>
# license: SPDX-License-Identifier: MIT
"""Tests for the Nakfa currency representation(s)."""
from decimal import Context
from pytest import raises
from multicurrency import Currency
from multicurr... | 34.620087 | 79 | 0.531282 | 7,398 | 0.932443 | 0 | 0 | 0 | 0 | 0 | 0 | 2,107 | 0.265566 |
ba672fe8169d4c84126ede0b40af978dffb4452d | 6,314 | py | Python | src/output/statements.py | williamstein/jpython | 31175f97f42381f612b0b9661beb6b5e5c356d5c | [
"BSD-2-Clause"
] | null | null | null | src/output/statements.py | williamstein/jpython | 31175f97f42381f612b0b9661beb6b5e5c356d5c | [
"BSD-2-Clause"
] | null | null | null | src/output/statements.py | williamstein/jpython | 31175f97f42381f612b0b9661beb6b5e5c356d5c | [
"BSD-2-Clause"
] | null | null | null | # vim:fileencoding=utf-8
# License: BSD Copyright: 2016, Kovid Goyal <kovid at kovidgoyal.net>
from __python__ import hash_literals
from ast import (
AST_Definitions, AST_Scope, AST_Method, AST_Except, AST_EmptyStatement,
AST_Statement, AST_Seq, AST_BaseCall, AST_Dot, AST_Sub, AST_ItemAccess,
AST_Condition... | 35.077778 | 118 | 0.605163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 837 | 0.132019 |
ba673bdb3cd7a82d7bc50d66607572efdb6a45e2 | 3,443 | py | Python | server.py | dataculturegroup/news-entity-server | e0726098a46b70dac5a97dcd927e5f39c68e68d1 | [
"MIT"
] | null | null | null | server.py | dataculturegroup/news-entity-server | e0726098a46b70dac5a97dcd927e5f39c68e68d1 | [
"MIT"
] | 1 | 2022-03-14T21:01:33.000Z | 2022-03-29T13:54:35.000Z | server.py | dataculturegroup/news-entity-server | e0726098a46b70dac5a97dcd927e5f39c68e68d1 | [
"MIT"
] | null | null | null | import logging
import os
from dotenv import load_dotenv
import sentry_sdk
from sentry_sdk.integrations.asgi import SentryAsgiMiddleware
from sentry_sdk.integrations.logging import ignore_logger
from typing import Optional
import helpers
import helpers.content as content
import helpers.entities as entities
from helpers... | 34.089109 | 174 | 0.689805 | 0 | 0 | 0 | 0 | 1,804 | 0.523962 | 0 | 0 | 1,410 | 0.409527 |
ba676614bbcce93369400054be1dfe970a2717d6 | 1,319 | py | Python | tele_saavn.py | rsoorajs/Champ | eb6811bcb5bd0aff3464b1f996514419465dabfd | [
"MIT"
] | 17 | 2018-06-28T03:17:46.000Z | 2021-07-15T13:22:35.000Z | tele_saavn.py | rsoorajs/Champ | eb6811bcb5bd0aff3464b1f996514419465dabfd | [
"MIT"
] | null | null | null | tele_saavn.py | rsoorajs/Champ | eb6811bcb5bd0aff3464b1f996514419465dabfd | [
"MIT"
] | 23 | 2018-09-10T08:02:43.000Z | 2021-09-09T07:07:18.000Z | from bs4 import BeautifulSoup
import requests
def songs_info(res):
soup = BeautifulSoup(res.text, 'lxml')
data = soup.find('ol', {'class': 'content-list'})
return data
def get_songs(data, limit=10):
song_list = []
count = 0
for i, count in zip(data.find_all('div', {'class': 'details'}), ran... | 30.674419 | 195 | 0.666414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 482 | 0.365428 |
ba6793f0192c80fc3bbd8b3d89303af7d816aba0 | 17,457 | py | Python | obsolete/profile_vs_profile.py | 861934367/cgat | 77fdc2f819320110ed56b5b61968468f73dfc5cb | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 87 | 2015-01-01T03:48:19.000Z | 2021-11-23T16:23:24.000Z | obsolete/profile_vs_profile.py | 861934367/cgat | 77fdc2f819320110ed56b5b61968468f73dfc5cb | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 189 | 2015-01-06T15:53:11.000Z | 2019-05-31T13:19:45.000Z | obsolete/profile_vs_profile.py | CGATOxford/cgat | 326aad4694bdfae8ddc194171bb5d73911243947 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 56 | 2015-01-13T02:18:50.000Z | 2022-01-05T10:00:59.000Z | ################################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as publish... | 37.063694 | 156 | 0.539955 | 6,651 | 0.380993 | 0 | 0 | 0 | 0 | 0 | 0 | 5,316 | 0.30452 |
ba69035771c043a913fe7ffd868ffbc5084fb0f1 | 386 | py | Python | myforum/usercenter/models.py | zalax303/test_django | 5728e26c7b6a6287d126ba4058ba54680a9bace4 | [
"Apache-2.0"
] | null | null | null | myforum/usercenter/models.py | zalax303/test_django | 5728e26c7b6a6287d126ba4058ba54680a9bace4 | [
"Apache-2.0"
] | null | null | null | myforum/usercenter/models.py | zalax303/test_django | 5728e26c7b6a6287d126ba4058ba54680a9bace4 | [
"Apache-2.0"
] | null | null | null | #coding:utf-8
from django.db import models
from django.contrib.auth.models import User
class ActivateCode(models.Model):
owner = models.ForeignKey(User, verbose_name="用户")
code = models.CharField(verbose_name="激活码", max_length=100)
expire_timestamp = models.DateTimeField()
create_time = models.DateTimeField(auto... | 29.692308 | 60 | 0.797927 | 306 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.080808 |
ba69a75af6fe44e2f9b818fc23054a99d5ef6411 | 6,735 | py | Python | bin/calc_word.py | hasibaasma/alfpy | c8c0c1300108015746320cede2207ac57e630d3e | [
"MIT"
] | 19 | 2017-02-20T17:42:02.000Z | 2021-12-16T19:07:17.000Z | bin/calc_word.py | eggleader/alfpy | e0782e9551458ef17ab29df8af13fc0f8925e894 | [
"MIT"
] | 3 | 2018-03-12T23:54:27.000Z | 2020-12-09T21:53:19.000Z | bin/calc_word.py | eggleader/alfpy | e0782e9551458ef17ab29df8af13fc0f8925e894 | [
"MIT"
] | 6 | 2016-12-06T09:12:04.000Z | 2021-09-24T14:40:47.000Z | #! /usr/bin/env python
# Copyright (c) 2016 Zielezinski A, combio.pl
import argparse
import sys
from alfpy import word_distance
from alfpy import word_pattern
from alfpy import word_vector
from alfpy.utils import distmatrix
from alfpy.utils import seqrecords
from alfpy.version import __version__
def get_parser():
... | 37.837079 | 79 | 0.580401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,816 | 0.269636 |
ba69c5e73ad4a27f76fcd447918d6d125e088cb9 | 357 | py | Python | Exercicio-03.py | IvamFSouza/ExerciciosPython | 6ff13df65c6c6912e14256322a491ed1d5b1fe50 | [
"MIT"
] | null | null | null | Exercicio-03.py | IvamFSouza/ExerciciosPython | 6ff13df65c6c6912e14256322a491ed1d5b1fe50 | [
"MIT"
] | null | null | null | Exercicio-03.py | IvamFSouza/ExerciciosPython | 6ff13df65c6c6912e14256322a491ed1d5b1fe50 | [
"MIT"
] | null | null | null | # Fazer com que o interpretador leia duas notas de um aluno, calcule e mostre a sua média.
n1 = float(input('\nDigite a primeira nota: '))
n2 = float(input('Digite a segunda nota: '))
media = (n1 + n2) / 2
print('\nA primeira nota é: {:.1f}.'.format(n1))
print('A segunda nota é: {:.1f}.'.format(n2))
print('Portanto, s... | 44.625 | 90 | 0.661064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 239 | 0.660221 |
ba6a125993c48f123b66d0160468797d1cdb1777 | 9,712 | py | Python | rels/relations.py | sobolevn/rels | 3b0afb11f2b4325c8ede961809f151dacfa257ef | [
"BSD-2-Clause-FreeBSD"
] | 7 | 2015-04-05T19:21:06.000Z | 2018-11-04T06:06:42.000Z | rels/relations.py | sobolevn/rels | 3b0afb11f2b4325c8ede961809f151dacfa257ef | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2015-06-08T07:41:45.000Z | 2018-11-03T07:15:40.000Z | rels/relations.py | sobolevn/rels | 3b0afb11f2b4325c8ede961809f151dacfa257ef | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2015-06-17T11:35:11.000Z | 2018-11-03T07:12:43.000Z | # coding: utf-8
# TODO: check full mapping of one enum to another (is every value of mapped enum has pair and vice versa)
# TODO: pep8
# TODO: pylint
# TODO: generate docs
# TODO: rewrite exceptions texts & rename exception classes
import random
from rels import exceptions
class Column(object):
__slots__ = ('_cr... | 33.034014 | 151 | 0.611717 | 9,424 | 0.970346 | 0 | 0 | 2,205 | 0.227039 | 0 | 0 | 854 | 0.087932 |
ba6aeda61d95d834eae2422e11670a7111135c85 | 18,770 | py | Python | dd_pose/evaluation_helpers.py | kevinsu628/dd-pose | 889d117170fd0bc86e1ca7fd5b429c54b225f35b | [
"MIT"
] | null | null | null | dd_pose/evaluation_helpers.py | kevinsu628/dd-pose | 889d117170fd0bc86e1ca7fd5b429c54b225f35b | [
"MIT"
] | null | null | null | dd_pose/evaluation_helpers.py | kevinsu628/dd-pose | 889d117170fd0bc86e1ca7fd5b429c54b225f35b | [
"MIT"
] | null | null | null | import numpy as np
import zipfile
from io import StringIO
import os
import json
import pandas as pd
import transformations as tr
from multiprocess import Pool
import plotly
import plotly.graph_objs as go
from dd_pose.dataset_item import DatasetItem, StampedTransforms
# a coordinate frame which allows for identity tr... | 35.752381 | 190 | 0.533724 | 18,012 | 0.959616 | 0 | 0 | 419 | 0.022323 | 0 | 0 | 2,888 | 0.153863 |
ba6b4ad51525e09923ed5cb2a1d71dc3c0634e6a | 1,376 | py | Python | fw-rde/mnist/test_adver.py | morgankohler/FrankWolfe.jl | b878dc2c2038a3b4486d5f7cec47f1a8e024192e | [
"MIT"
] | null | null | null | fw-rde/mnist/test_adver.py | morgankohler/FrankWolfe.jl | b878dc2c2038a3b4486d5f7cec47f1a8e024192e | [
"MIT"
] | null | null | null | fw-rde/mnist/test_adver.py | morgankohler/FrankWolfe.jl | b878dc2c2038a3b4486d5f7cec47f1a8e024192e | [
"MIT"
] | null | null | null | import os
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import tensorflow.keras.backend as K
from models import load_model, load_adfmodel
from PIL import Image
# GENERAL PARAMETERS
MODE = 'diag' # 'diag', 'half', or 'full'
# LOAD MODEL
print(os.getcwd())
adfmodel = load... | 27.52 | 96 | 0.653343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 581 | 0.422238 |
ba6bc29f591786e97baca19f293cddeea2e887b4 | 2,210 | py | Python | dataApp.py | gauravpgaurav/CS412_HW5 | 0aee3fed7f0f1314d1f67ca59c73f137335b05fc | [
"MIT"
] | null | null | null | dataApp.py | gauravpgaurav/CS412_HW5 | 0aee3fed7f0f1314d1f67ca59c73f137335b05fc | [
"MIT"
] | null | null | null | dataApp.py | gauravpgaurav/CS412_HW5 | 0aee3fed7f0f1314d1f67ca59c73f137335b05fc | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 29 20:03:22 2018
@author: gauravpant
"""
import numpy as np
import pandas as pd
df=pd.read_csv('data/responses.csv', sep=',',header=0)
#f = open('data/responses.csv')
#csv_f = csv.reader(f)
#
#headers = []
#data = []
#
#
#for i, row in enumerate(... | 26.309524 | 75 | 0.658824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,199 | 0.542534 |
ba6f8c76a23c650a23be073851e814f43b243d61 | 3,388 | py | Python | src/analysis/directionAnalysis.py | mortbopet/NetCracker | 8b5c1dbe1780c111d1f6810d3ef13400f26f9cb0 | [
"MIT"
] | 9 | 2021-02-21T13:27:03.000Z | 2021-12-22T17:21:43.000Z | src/analysis/directionAnalysis.py | mortbopet/NetCracker | 8b5c1dbe1780c111d1f6810d3ef13400f26f9cb0 | [
"MIT"
] | null | null | null | src/analysis/directionAnalysis.py | mortbopet/NetCracker | 8b5c1dbe1780c111d1f6810d3ef13400f26f9cb0 | [
"MIT"
] | 5 | 2021-02-22T02:55:44.000Z | 2021-12-22T17:23:09.000Z | from src.switchbox import *
from src.point import *
from src.netcrackerformat import *
from src.sbhelper import *
from src.direction import *
from src.logger import *
from src.analysis.posBasedFilter import *
from src.analysis.analysispass import *
from src.analysis.directionAnalysis import *
# =====================... | 41.317073 | 111 | 0.61157 | 2,567 | 0.757674 | 0 | 0 | 0 | 0 | 0 | 0 | 779 | 0.229929 |
ba70c1544876182a4809d2b55655af0fcfecfac0 | 422 | py | Python | actions/get_project_components.py | AnushkaKamerkar/stackstorm-jira | 44063968dcfa2e117599b3afaa67007bade9e4ae | [
"Apache-2.0"
] | null | null | null | actions/get_project_components.py | AnushkaKamerkar/stackstorm-jira | 44063968dcfa2e117599b3afaa67007bade9e4ae | [
"Apache-2.0"
] | null | null | null | actions/get_project_components.py | AnushkaKamerkar/stackstorm-jira | 44063968dcfa2e117599b3afaa67007bade9e4ae | [
"Apache-2.0"
] | null | null | null | from lib.base import BaseJiraAction
from lib.formatters import to_project_dict
__all__ = [
'GetJiraProjectComponentsAction'
]
class GetJiraProjectComponentsAction(BaseJiraAction):
def run(self, project_key):
projects = self._client.project_components(project_key)
print(projects)
results = []
for project... | 22.210526 | 64 | 0.78436 | 286 | 0.677725 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.075829 |
ba711fe318893ea8e97e7dc75d344bc0d3740047 | 2,773 | py | Python | mwcp_parsers/_blzpack.py | CybercentreCanada/assemblyline-service-configextractor | ab456ed6bac2ae60dea56890b0e5d0cc42c7c519 | [
"MIT"
] | 2 | 2021-06-18T14:53:21.000Z | 2021-07-03T11:45:42.000Z | mwcp_parsers/_blzpack.py | CybercentreCanada/assemblyline-service-configextractor | ab456ed6bac2ae60dea56890b0e5d0cc42c7c519 | [
"MIT"
] | 5 | 2020-11-04T16:06:38.000Z | 2022-01-28T16:17:38.000Z | mwcp_parsers/_blzpack.py | CybercentreCanada/assemblyline-service-configextractor | ab456ed6bac2ae60dea56890b0e5d0cc42c7c519 | [
"MIT"
] | 2 | 2021-05-30T11:37:25.000Z | 2021-06-24T12:57:35.000Z | #included from https://github.com/sysopfb/brieflz
import os
from ctypes import *
import binascii
import zlib
import struct
CURR_DIR = os.path.abspath(os.path.dirname(__file__))
LIB_PATH = os.path.join(CURR_DIR, 'blzpack_lib.so')
brieflz = cdll.LoadLibrary(LIB_PATH)
DEFAULT_BLOCK_SIZE = 1024 * 1024
def compress_dat... | 36.973333 | 157 | 0.658853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 326 | 0.117562 |
ba7274fdeb109e756700ed964fe5bf59624cafdd | 27,897 | py | Python | reader/bidafv1/model.py | lixinsu/RCZoo | 37fcb7962fbd4c751c561d4a0c84173881ea8339 | [
"MIT"
] | 166 | 2018-08-07T03:35:02.000Z | 2022-01-11T10:40:09.000Z | reader/bidafv1/model.py | lixinsu/RCZoo | 37fcb7962fbd4c751c561d4a0c84173881ea8339 | [
"MIT"
] | 16 | 2018-08-17T09:53:37.000Z | 2019-06-17T12:58:00.000Z | reader/bidafv1/model.py | lixinsu/RCZoo | 37fcb7962fbd4c751c561d4a0c84173881ea8339 | [
"MIT"
] | 45 | 2018-08-27T06:38:42.000Z | 2021-01-17T11:12:39.000Z | #!/usr/bin/env python3
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""DrQA Document Reader model"""
import math
import random
import ipdb
import torch
import torch.optim as opt... | 39.570213 | 90 | 0.521633 | 27,341 | 0.98007 | 0 | 0 | 4,755 | 0.170448 | 0 | 0 | 6,195 | 0.222067 |
ba73f67adbc8b73a37bc38ab585323628b65c5c4 | 414 | py | Python | firstApp/migrations/0006_alter_registration_degree.py | sayan706/SchoolWebsite | 8a3faea4582e3c15f0d33347e6c0793a78481c52 | [
"MIT"
] | null | null | null | firstApp/migrations/0006_alter_registration_degree.py | sayan706/SchoolWebsite | 8a3faea4582e3c15f0d33347e6c0793a78481c52 | [
"MIT"
] | null | null | null | firstApp/migrations/0006_alter_registration_degree.py | sayan706/SchoolWebsite | 8a3faea4582e3c15f0d33347e6c0793a78481c52 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.1 on 2022-01-10 09:29
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('firstApp', '0005_alter_registration_firstname'),
]
operations = [
migrations.AlterField(
model_name='registration',
... | 21.789474 | 61 | 0.618357 | 321 | 0.775362 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.275362 |
ba74d6985832776a9d24326b66b17b4e74388e84 | 10,385 | py | Python | tests/reports/test_controls_reporter.py | FoxoTech/methylcheck | 881d14d78e6086aab184716e0b79cdf87e9be8bf | [
"MIT"
] | 2 | 2019-10-13T21:42:14.000Z | 2019-10-16T19:08:49.000Z | tests/reports/test_controls_reporter.py | FoxoTech/methylcheck | 881d14d78e6086aab184716e0b79cdf87e9be8bf | [
"MIT"
] | 11 | 2021-04-08T16:14:54.000Z | 2022-03-09T00:22:13.000Z | tests/reports/test_controls_reporter.py | LifeEGX/methQC | 2b4f960e7e5c7baca9dc778ca05ee332e2f27653 | [
"MIT"
] | 1 | 2020-01-09T14:26:02.000Z | 2020-01-09T14:26:02.000Z | from pathlib import Path
import pandas as pd
import numpy as np
import logging
#patching
import unittest
try:
# python 3.4+ should use builtin unittest.mock not mock package
from unittest.mock import patch
except ImportError:
from mock import patch
#app
import methylcheck
import methylprep
TESTPATH = 'te... | 68.774834 | 375 | 0.658739 | 3,361 | 0.32364 | 0 | 0 | 0 | 0 | 0 | 0 | 4,158 | 0.400385 |
ba7602227a8f014510f10efc052090714dcb5668 | 8,261 | py | Python | home-assistant/custom_components/yahoofinance/__init__.py | square-spade/SmartHouse | 1566fe6153321908ff4cda48f6ff5cdf5de8fe67 | [
"MIT"
] | 136 | 2019-06-27T08:11:47.000Z | 2022-03-11T12:26:53.000Z | home-assistant/custom_components/yahoofinance/__init__.py | square-spade/SmartHouse | 1566fe6153321908ff4cda48f6ff5cdf5de8fe67 | [
"MIT"
] | 5 | 2020-05-30T00:19:22.000Z | 2022-03-25T18:49:47.000Z | home-assistant/custom_components/yahoofinance/__init__.py | square-spade/SmartHouse | 1566fe6153321908ff4cda48f6ff5cdf5de8fe67 | [
"MIT"
] | 63 | 2019-07-15T21:11:58.000Z | 2022-03-13T09:43:24.000Z | """
The Yahoo finance component.
https://github.com/iprak/yahoofinance
"""
from datetime import timedelta
import logging
from typing import Union
import async_timeout
from homeassistant.const import CONF_SCAN_INTERVAL
from homeassistant.helpers import discovery
from homeassistant.helpers.aiohttp_client import async_... | 31.056391 | 89 | 0.642658 | 3,371 | 0.408062 | 0 | 0 | 441 | 0.053383 | 3,260 | 0.394625 | 1,798 | 0.217649 |
ba77c3decd45da528d69e289a995dee1a225f06b | 651 | py | Python | Exercicios/ex109 - Formatando moedas em python.py | anderdot/curso-em-video-python | ea295cf0afa914ff9ab9acb87c458d77e3fb62ad | [
"MIT"
] | null | null | null | Exercicios/ex109 - Formatando moedas em python.py | anderdot/curso-em-video-python | ea295cf0afa914ff9ab9acb87c458d77e3fb62ad | [
"MIT"
] | null | null | null | Exercicios/ex109 - Formatando moedas em python.py | anderdot/curso-em-video-python | ea295cf0afa914ff9ab9acb87c458d77e3fb62ad | [
"MIT"
] | null | null | null | # Desafio 109: Modifique as funções que form criadas no desafio 107 para que
# elas aceitem um parâmetro a mais, informando se o valor retornado por elas
# vai ser ou não formatado pela função moeda(), desenvolvida no desafio 108.
from rotinas import titulo
from modulos.ex109 import moeda as m
valor = int(input('Dig... | 50.076923 | 80 | 0.709677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 528 | 0.797583 |
ba78d40a2e3b13b764928d8aba27030d20c5d6fc | 2,485 | py | Python | dev/backend/src/mod_audio_recognition/bean.py | dannyphan2910/music-lyrics | 19ca60793648a12f62ed92f3198c1e8cf12a4af4 | [
"MIT"
] | null | null | null | dev/backend/src/mod_audio_recognition/bean.py | dannyphan2910/music-lyrics | 19ca60793648a12f62ed92f3198c1e8cf12a4af4 | [
"MIT"
] | 6 | 2021-03-10T12:32:51.000Z | 2022-03-02T06:32:13.000Z | dev/backend/src/mod_audio_recognition/bean.py | dannyphan2910/music-lyrics | 19ca60793648a12f62ed92f3198c1e8cf12a4af4 | [
"MIT"
] | 1 | 2021-04-23T15:55:54.000Z | 2021-04-23T15:55:54.000Z | import json
import tempfile
from acrcloud.recognizer import ACRCloudRecognizeType
from acrcloud.recognizer import ACRCloudRecognizer
from mod_track_search.bean import get_track_id
from model.Track import Track
def get_tracks_from_audio(file):
response = ({}, 404)
if file is None or file == '':
print... | 24.85 | 89 | 0.55171 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 526 | 0.21167 |
ba7944516d0e09575b93381855069585973ab4f1 | 460 | py | Python | tests/test_timedelete.py | giuliocalzolari/pse_timecard | 5eb835ad88a8ee2eb8a97a5fcfe30dd83d6cbf7c | [
"WTFPL"
] | 11 | 2019-08-21T09:21:53.000Z | 2022-02-06T21:41:34.000Z | tests/test_timedelete.py | giuliocalzolari/pse_timecard | 5eb835ad88a8ee2eb8a97a5fcfe30dd83d6cbf7c | [
"WTFPL"
] | 22 | 2019-08-21T09:17:58.000Z | 2022-03-14T20:04:10.000Z | tests/test_timedelete.py | giuliocalzolari/pse_timecard | 5eb835ad88a8ee2eb8a97a5fcfe30dd83d6cbf7c | [
"WTFPL"
] | 9 | 2019-08-21T11:43:34.000Z | 2021-11-08T15:36:24.000Z | from freezegun import freeze_time
from salesforce_timecard.core import TimecardEntry
import pytest
import json
@freeze_time("2020-9-18")
@pytest.mark.vcr()
@pytest.mark.block_network
def test_delete_timecard():
te = TimecardEntry("tests/fixtures/cfg_user_password.json")
rs = te.list_timecard(False, "2020-09-1... | 27.058824 | 63 | 0.730435 | 0 | 0 | 0 | 0 | 346 | 0.752174 | 0 | 0 | 102 | 0.221739 |
ba7ad226bb8b4632a379714c4c4d790425eadeb6 | 390 | py | Python | OptimizationAlgorithms/LearningAlgorithm.py | AhmedHani/Python-Neural-Networks-API | ead1e53403e078bb807dafceca70d785514507e1 | [
"MIT"
] | 1 | 2015-05-01T00:56:53.000Z | 2015-05-01T00:56:53.000Z | OptimizationAlgorithms/LearningAlgorithm.py | AhmedHani/Python-Neural-Networks-API | ead1e53403e078bb807dafceca70d785514507e1 | [
"MIT"
] | null | null | null | OptimizationAlgorithms/LearningAlgorithm.py | AhmedHani/Python-Neural-Networks-API | ead1e53403e078bb807dafceca70d785514507e1 | [
"MIT"
] | 2 | 2017-08-11T17:02:52.000Z | 2018-07-21T10:40:43.000Z | __author__ = 'Ahmed Hani Ibrahim'
import abc
class LearningAlgorithm(object):
# __metaclass__ = abc.ABCMeta
@abc.abstractmethod
def learn(self, learningRate, input, output, network):
"""
:param learningRate: double
:param input: list
:param output: list
:param netwo... | 21.666667 | 58 | 0.597436 | 342 | 0.876923 | 0 | 0 | 271 | 0.694872 | 0 | 0 | 218 | 0.558974 |
ba7c58e3f8b1ffafeeabbe872253fc40a288cb72 | 4,359 | py | Python | backend/app/app/api/api_v1/endpoints/auth.py | dmitritruf/distiller-django-react | ec4c3837194306e725d8a2437ace10a899a254d2 | [
"BSD-3-Clause"
] | 2 | 2021-11-04T16:27:33.000Z | 2021-11-04T20:09:19.000Z | backend/app/app/api/api_v1/endpoints/auth.py | OpenChemistry/distiller | 67da87672654555f9821590f42b108d70a55c1a6 | [
"BSD-3-Clause"
] | 70 | 2021-11-04T16:34:52.000Z | 2022-03-30T02:52:17.000Z | backend/app/app/api/api_v1/endpoints/auth.py | dmitritruf/distiller-django-react | ec4c3837194306e725d8a2437ace10a899a254d2 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime, timedelta, timezone
from typing import Optional
from fastapi import (APIRouter, Depends, HTTPException, Request, Response,
status)
from jose import JWTError, jwt
from sqlalchemy.orm import Session
from app.api.deps import get_current_user, get_db
from app.api.utils ... | 31.135714 | 88 | 0.699014 | 0 | 0 | 0 | 0 | 3,119 | 0.715531 | 3,007 | 0.689837 | 429 | 0.098417 |
ba7d6a9e7d22a756e68ebfce9d1c8d488b047ed1 | 222 | py | Python | String/058. Length of Last Word.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | 138 | 2020-02-08T05:25:26.000Z | 2021-11-04T11:59:28.000Z | String/058. Length of Last Word.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | null | null | null | String/058. Length of Last Word.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | 24 | 2021-01-02T07:18:43.000Z | 2022-03-20T08:17:54.000Z | """
58. Length of Last Word
"""
class Solution:
def lengthOfLastWord(self, s):
"""
:type s: str
:rtype: int
"""
li = s.split()
return len(li[-1]) if li else 0 | 18.5 | 39 | 0.45045 | 185 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.414414 |
ba7f1880c2b90a49559f5960814c055b80809594 | 5,201 | py | Python | federatedscope/gfl/fedsageplus/utils.py | alibaba/FederatedScope | fcf6d237624769ea094cfd68803901622f14fc23 | [
"Apache-2.0"
] | 9 | 2022-03-24T07:59:37.000Z | 2022-03-31T06:47:52.000Z | federatedscope/gfl/fedsageplus/utils.py | alibaba/FederatedScope | fcf6d237624769ea094cfd68803901622f14fc23 | [
"Apache-2.0"
] | 1 | 2022-03-28T13:52:17.000Z | 2022-03-28T13:52:17.000Z | federatedscope/gfl/fedsageplus/utils.py | alibaba/FederatedScope | fcf6d237624769ea094cfd68803901622f14fc23 | [
"Apache-2.0"
] | null | null | null | import torch
from torch_geometric.data import Data
from torch_geometric.transforms import BaseTransform
from torch_geometric.utils import to_networkx, from_networkx
import networkx as nx
import numpy as np
from federatedscope.core.configs.config import global_cfg
class HideGraph(BaseTransform):
r"""
Genera... | 38.813433 | 87 | 0.594886 | 2,542 | 0.488752 | 0 | 0 | 635 | 0.122092 | 0 | 0 | 957 | 0.184003 |
ba808edd6b754acefb4ce6a96df843f114f8d03a | 4,259 | py | Python | samples/update_esxi_advanced_settings.py | whchoi98/whchoi_pyvmomi-community-samples | 4bc90d0780267d9c14382ae72b50ef3475a96e46 | [
"Apache-2.0"
] | null | null | null | samples/update_esxi_advanced_settings.py | whchoi98/whchoi_pyvmomi-community-samples | 4bc90d0780267d9c14382ae72b50ef3475a96e46 | [
"Apache-2.0"
] | null | null | null | samples/update_esxi_advanced_settings.py | whchoi98/whchoi_pyvmomi-community-samples | 4bc90d0780267d9c14382ae72b50ef3475a96e46 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# William Lam
# www.virtuallyghetto.com
"""
vSphere Python SDK program for updating ESXi Advanced Settings
Usage:
python update_esxi_advanced_settings.py -s 192.168.1.200 \
-u '[email protected]' \
-p VMware1! -c VSAN-Cluster -k VSAN.ClomRepairDelay -v 120
"""
import argpa... | 31.087591 | 76 | 0.532285 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,232 | 0.28927 |
ba85db38c48467a473b1f5022b7dfe1c25bcc9e4 | 15,516 | py | Python | adversarials/test_attack.py | vergilus/NJUNMT-pytorch | 85cc8d4f1aae04541d2e30ec2ca2b9b9fe2bea60 | [
"MIT"
] | 2 | 2020-02-16T02:56:55.000Z | 2020-03-08T15:04:31.000Z | adversarials/test_attack.py | vergilus/NJUNMT-pytorch | 85cc8d4f1aae04541d2e30ec2ca2b9b9fe2bea60 | [
"MIT"
] | null | null | null | adversarials/test_attack.py | vergilus/NJUNMT-pytorch | 85cc8d4f1aae04541d2e30ec2ca2b9b9fe2bea60 | [
"MIT"
] | null | null | null | from adversarials.adversarial_utils import *
from adversarials import attacker
from src.utils.logging import *
from src.utils.common_utils import *
from src.data.dataset import TextLineDataset
from src.data.data_iterator import DataIterator
from src.models import build_model
from src.decoding import beam_search
import... | 51.892977 | 200 | 0.586685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,870 | 0.24942 |
ba860ef0bbb9998d184a5e1d2b2471f8886f1c2c | 1,373 | py | Python | plots.py | shreyasnikte/semi-supervised-learning-methods | b60409cdbcb441d7749934f8984fc31d74b86de6 | [
"MIT"
] | 2 | 2019-02-12T01:47:24.000Z | 2019-02-12T01:47:30.000Z | plots.py | shreyasnikte/semi-supervised-learning-methods | b60409cdbcb441d7749934f8984fc31d74b86de6 | [
"MIT"
] | null | null | null | plots.py | shreyasnikte/semi-supervised-learning-methods | b60409cdbcb441d7749934f8984fc31d74b86de6 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
n = [0,10,20,40,80,160,320,640]
error_rate_knn = [0.352873876328,0.387737617135,0.453305017255,0.458524980174,0.474808757584,0.470144927536,0.473847774559,0.467094872065]
error_rate_svm = [0.357722691365,0.355341365462,0.355402176799,0.352894528152,0.352941176471,0.... | 27.46 | 138 | 0.761835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 238 | 0.173343 |
ba86b3218164d82acdf2e535950af7f6a5fd6761 | 1,845 | py | Python | gs-engine/gse_api_server/controller/service_mesh.py | gedge-platform/GEdge-Platform | b5cbe63089cf3d3263683cbcd5ec3d10ad85779b | [
"Apache-2.0"
] | 13 | 2020-10-14T07:45:08.000Z | 2021-10-01T08:19:56.000Z | gs-engine/gse_api_server/controller/service_mesh.py | gedge-platform/GEdge-Platform | b5cbe63089cf3d3263683cbcd5ec3d10ad85779b | [
"Apache-2.0"
] | null | null | null | gs-engine/gse_api_server/controller/service_mesh.py | gedge-platform/GEdge-Platform | b5cbe63089cf3d3263683cbcd5ec3d10ad85779b | [
"Apache-2.0"
] | 17 | 2020-11-09T05:16:42.000Z | 2021-12-28T08:04:33.000Z | from flask import Blueprint, request, jsonify
import json
import yaml
import app_conf
from tools.db_connector import DBConnector as mysql
from service import service_mesh as sm_service
service_mesh = Blueprint('service_mesh', __name__)
# set logger
logger = app_conf.Log.get_logger(__name__)
conn = my... | 30.245902 | 100 | 0.694851 | 0 | 0 | 0 | 0 | 1,485 | 0.804878 | 0 | 0 | 232 | 0.125745 |
ba87a2336a8f0ec71ea84a395469860438887992 | 2,363 | py | Python | tests/test_multiple_pubtopics.py | mpi-sws-rse/antevents-python | 5b9226813583141986014fc83f6f74342a5f271e | [
"Apache-2.0"
] | 7 | 2016-09-27T00:21:46.000Z | 2017-03-18T20:04:29.000Z | tests/test_multiple_pubtopics.py | mpi-sws-rse/antevents-python | 5b9226813583141986014fc83f6f74342a5f271e | [
"Apache-2.0"
] | null | null | null | tests/test_multiple_pubtopics.py | mpi-sws-rse/antevents-python | 5b9226813583141986014fc83f6f74342a5f271e | [
"Apache-2.0"
] | 2 | 2017-03-16T21:47:43.000Z | 2020-10-20T22:58:03.000Z | # Copyright 2016 by MPI-SWS and Data-Ken Research.
# Licensed under the Apache 2.0 License.
"""
Build a filter that takes an input stream and dispatches to one of several
output topics based on the input value.
"""
import asyncio
import unittest
from antevents.base import Publisher, DefaultSubscriber, Scheduler
from ... | 35.80303 | 75 | 0.64452 | 1,891 | 0.800254 | 0 | 0 | 0 | 0 | 0 | 0 | 885 | 0.374524 |
ba886223d7d5b936770b403beef641b7928034bb | 12,515 | py | Python | pe/packrat.py | goodmami/pe | ea2ff69742c7f76f370cdfa8e3f7ae0860d5e6fa | [
"MIT"
] | 18 | 2020-03-25T09:10:24.000Z | 2022-02-21T02:46:10.000Z | pe/packrat.py | goodmami/pe | ea2ff69742c7f76f370cdfa8e3f7ae0860d5e6fa | [
"MIT"
] | 21 | 2020-03-18T08:03:04.000Z | 2021-10-11T04:29:09.000Z | pe/packrat.py | goodmami/pe | ea2ff69742c7f76f370cdfa8e3f7ae0860d5e6fa | [
"MIT"
] | 1 | 2021-09-02T16:09:29.000Z | 2021-09-02T16:09:29.000Z |
"""
Packrat Parsing
"""
# NOTE: attempting to use exceptions instead of FAIL codes resulted in
# almost a 2x slowdown, so it's probably not a good idea
from typing import (Union, List, Dict, Callable, Iterable, Any)
from collections import defaultdict
import re
import inspect
from pe._constants import (
FAIL,
... | 32.42228 | 79 | 0.54159 | 11,135 | 0.889732 | 0 | 0 | 64 | 0.005114 | 0 | 0 | 1,151 | 0.09197 |
ba8a3d42e7689a2e026e951ecc04b58e3c117678 | 582 | py | Python | tests/utils.py | davidmcnabnz/aiohttp-rpc | 25c3b61f48e45a8f2c5586f3e97ac16fd15f2c86 | [
"MIT"
] | 22 | 2020-05-24T08:54:51.000Z | 2022-02-16T13:03:14.000Z | tests/utils.py | davidmcnabnz/aiohttp-rpc | 25c3b61f48e45a8f2c5586f3e97ac16fd15f2c86 | [
"MIT"
] | 7 | 2020-08-31T19:40:21.000Z | 2021-08-02T06:50:05.000Z | tests/utils.py | davidmcnabnz/aiohttp-rpc | 25c3b61f48e45a8f2c5586f3e97ac16fd15f2c86 | [
"MIT"
] | 2 | 2020-05-24T12:18:19.000Z | 2021-08-01T11:30:43.000Z | import aiohttp
from aiohttp import web
import aiohttp_rpc
async def make_client(aiohttp_client, rpc_server: aiohttp_rpc.JsonRpcServer) -> aiohttp.ClientSession:
app = web.Application()
app.router.add_post('/rpc', rpc_server.handle_http_request)
return await aiohttp_client(app)
async def make_ws_client(... | 32.333333 | 107 | 0.785223 | 0 | 0 | 0 | 0 | 0 | 0 | 517 | 0.888316 | 12 | 0.020619 |
ba8b351fb6919d43ebf9cf7d016dae641fd9b448 | 14,346 | py | Python | examples/learning_fix/analysis/run_analysis.py | bingrao/Bug-Transformer | 9e39dc553c281f6372b7a8cfc8205aa186645899 | [
"MIT"
] | null | null | null | examples/learning_fix/analysis/run_analysis.py | bingrao/Bug-Transformer | 9e39dc553c281f6372b7a8cfc8205aa186645899 | [
"MIT"
] | null | null | null | examples/learning_fix/analysis/run_analysis.py | bingrao/Bug-Transformer | 9e39dc553c281f6372b7a8cfc8205aa186645899 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
usage: put under source folder, required files: evolving_state.txt, calib_state.txt, state.txt
After first run, integration_states.txt, vio_states.txt are generated and figures are saved in current dir
You can move the figures and state.txt, integration_states.txt, vio_states.txt into a fold... | 33.59719 | 112 | 0.548724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,137 | 0.218667 |
ba8cbf1e8f33b4e6ae6ea6fa33a6606299a26211 | 767 | py | Python | util/path.py | cassianobecker/dnn | bb2ea04f77733de9df10f795bb049ac3b9d30478 | [
"MIT"
] | 3 | 2020-02-21T21:35:07.000Z | 2020-09-29T15:20:00.000Z | util/path.py | cassianobecker/dnn | bb2ea04f77733de9df10f795bb049ac3b9d30478 | [
"MIT"
] | 27 | 2020-02-20T21:00:23.000Z | 2020-05-22T15:23:25.000Z | util/path.py | cassianobecker/dnn | bb2ea04f77733de9df10f795bb049ac3b9d30478 | [
"MIT"
] | null | null | null | import os
import shutil
def get_root():
root_dir = os.path.dirname(os.path.abspath(__file__))
return os.path.split(root_dir)[0]
def absolute_path(relative_path):
return os.path.join(get_root(), relative_path)
def append_path(module, relative_path):
return os.path.join(get_dir(module), relative_pat... | 21.305556 | 66 | 0.720991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.013038 |
ba8d939b382a63a60f2698d61f7d191c80c42ac1 | 1,204 | py | Python | CursoEmVideo/curso em video/ex45.py | elisio-ricardo/ExerciciosPythonCursoEmVideo | 47a10b2118a76f4f95a762876ef9ab90e92f4fd3 | [
"MIT"
] | null | null | null | CursoEmVideo/curso em video/ex45.py | elisio-ricardo/ExerciciosPythonCursoEmVideo | 47a10b2118a76f4f95a762876ef9ab90e92f4fd3 | [
"MIT"
] | null | null | null | CursoEmVideo/curso em video/ex45.py | elisio-ricardo/ExerciciosPythonCursoEmVideo | 47a10b2118a76f4f95a762876ef9ab90e92f4fd3 | [
"MIT"
] | null | null | null | from random import randint
from time import sleep
itens = ('Pedra', 'Papel', 'Tesoura')
computador = randint(0, 2)
print('''Suas opções:
[ 0 ] PEDRA
[ 1 ] PAPEL
[ 2 ] TESOURA''')
jogador = int(input('Qual é a sua jogada? '))
print('JO')
sleep(1)
print('KEN')
sleep(1)
print('POOO')
print('#x#' * 13)
print('O computador ... | 26.173913 | 70 | 0.593023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 0.368683 |
ba90813dd087e4a5ae66ed2dd627c0ad91bad8ca | 227 | py | Python | s06_estruturas_de_repeticao/s06_exercicios/s06_exercicio_05.py | adeogliari/GeekUniversity_Python | 1b6badc45ca1dfbaa2f42196fb2dedac417b866e | [
"MIT"
] | null | null | null | s06_estruturas_de_repeticao/s06_exercicios/s06_exercicio_05.py | adeogliari/GeekUniversity_Python | 1b6badc45ca1dfbaa2f42196fb2dedac417b866e | [
"MIT"
] | null | null | null | s06_estruturas_de_repeticao/s06_exercicios/s06_exercicio_05.py | adeogliari/GeekUniversity_Python | 1b6badc45ca1dfbaa2f42196fb2dedac417b866e | [
"MIT"
] | null | null | null | """
5) Faça um programa que peça ao usuário para digitar 10 valores e some-os.
"""
soma = 0
for n in range(10):
num = float(input(f'Digite o valor {n + 1} de 10 para ser somado \n'))
soma = soma + num
print(f'{soma}')
| 22.7 | 74 | 0.629956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.626087 |
ba90dc2cb2e51a3de479c4158575a47f4042bca2 | 852 | py | Python | LeetCode/01_Easy/lc_243.py | Zubieta/CPP | fb4a3cbf2e4edcc590df15663cd28fb9ecab679c | [
"MIT"
] | 8 | 2017-03-02T07:56:45.000Z | 2021-08-07T20:20:19.000Z | LeetCode/01_Easy/lc_243.py | zubie7a/Algorithms | fb4a3cbf2e4edcc590df15663cd28fb9ecab679c | [
"MIT"
] | null | null | null | LeetCode/01_Easy/lc_243.py | zubie7a/Algorithms | fb4a3cbf2e4edcc590df15663cd28fb9ecab679c | [
"MIT"
] | 1 | 2021-08-07T20:20:20.000Z | 2021-08-07T20:20:20.000Z | # 243 - Shortest Word Distance (Easy)
# https://leetcode.com/problems/shortest-word-distance/
class Solution(object):
def shortestDistance(self, words, word1, word2):
"""
:type words: List[str]
:type word1: str
:type word2: str
:rtype: int
"""
# Find the short... | 34.08 | 70 | 0.524648 | 745 | 0.874413 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.441315 |
ba91558aefd2df242fdc6737e72408a5090c1f04 | 2,539 | py | Python | showdetector.py | squeakus/motiontracker | 9a3e744893de691f2af8f33372911ccf9c6ee5e0 | [
"BSD-2-Clause"
] | 1 | 2017-03-17T12:43:26.000Z | 2017-03-17T12:43:26.000Z | showdetector.py | squeakus/motiontracker | 9a3e744893de691f2af8f33372911ccf9c6ee5e0 | [
"BSD-2-Clause"
] | null | null | null | showdetector.py | squeakus/motiontracker | 9a3e744893de691f2af8f33372911ccf9c6ee5e0 | [
"BSD-2-Clause"
] | null | null | null | from __future__ import print_function
import numpy as np
import cv2
import sys
import imutils
from imutils.video import VideoStream
import argparse
import time
def main():
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--picamera", type=int, default=-1,
help="whether or not the Raspberry Pi cam... | 29.183908 | 97 | 0.620717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 0.185112 |
ba918a951cdd349ee4cd6bbade1526c24a7533de | 2,106 | py | Python | parse/bsoup.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 4 | 2016-12-17T20:06:10.000Z | 2021-11-19T04:45:29.000Z | parse/bsoup.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 11 | 2021-01-06T05:35:11.000Z | 2022-03-11T23:28:31.000Z | parse/bsoup.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 3 | 2015-06-12T10:44:16.000Z | 2021-07-26T18:39:47.000Z | __author__ = 'thorwhalen'
"""
functions that work on soup, soup tags, etc.
"""
import bs4
from ut.pgenerator.get import last_element
from tempfile import mkdtemp
import os
import ut.pstr.to as strto
import ut.parse.util as parse_util
import ut.pstr.trans as pstr_trans
def root_parent(s):
return last_element(s.p... | 28.459459 | 114 | 0.623457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.209877 |
ba918ece5de60730c0129575be92e67c044ff8ec | 1,130 | py | Python | interview_query/utils/faker_sat_scores.py | mhetrerajat/ds-challenge | 3208df5c29612b0dfe60c1c082da1f31ad220b49 | [
"MIT"
] | null | null | null | interview_query/utils/faker_sat_scores.py | mhetrerajat/ds-challenge | 3208df5c29612b0dfe60c1c082da1f31ad220b49 | [
"MIT"
] | 1 | 2021-05-18T07:30:16.000Z | 2021-05-18T07:30:16.000Z | interview_query/utils/faker_sat_scores.py | mhetrerajat/ds-challenge | 3208df5c29612b0dfe60c1c082da1f31ad220b49 | [
"MIT"
] | null | null | null | from faker import Faker
from sqlalchemy import Column, Date, ForeignKey, Integer, String, Table, create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm.session import sessionmaker
from sqlalchemy_utils import create_database, database_exists
connection_string = "mysql+mysqlconnector:... | 25.111111 | 86 | 0.679646 | 176 | 0.155752 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.095575 |
ba93a8b482897b7fb3cc384944adb1b34a68cd4c | 254 | py | Python | easy_ThirdGreatest.py | GabrielGhe/CoderbyteChallenges | 5601dbc24c95a65fed04896de2f534417c2e730d | [
"MIT"
] | 1 | 2020-11-04T15:30:18.000Z | 2020-11-04T15:30:18.000Z | easy_ThirdGreatest.py | GabrielGhe/CoderbyteChallenges | 5601dbc24c95a65fed04896de2f534417c2e730d | [
"MIT"
] | null | null | null | easy_ThirdGreatest.py | GabrielGhe/CoderbyteChallenges | 5601dbc24c95a65fed04896de2f534417c2e730d | [
"MIT"
] | null | null | null | """
Return the 3rd longest
string in an array of
strings
"""
def ThirdGreatest(strArr):
#have to reverse because timsort is stable
strArr = sorted(strArr, key = len, reverse = True)
return strArr[2]
print ThirdGreatest(raw_input())
| 21.166667 | 52 | 0.688976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.401575 |
ba93fd1478bd06284c76c1ea6935491739d75c91 | 347 | py | Python | rackio/workers/__init__.py | crivero7/rackio-framework | d3362041b1fc4c3af7eb51ac06b1f0f1b5aa497c | [
"MIT"
] | null | null | null | rackio/workers/__init__.py | crivero7/rackio-framework | d3362041b1fc4c3af7eb51ac06b1f0f1b5aa497c | [
"MIT"
] | null | null | null | rackio/workers/__init__.py | crivero7/rackio-framework | d3362041b1fc4c3af7eb51ac06b1f0f1b5aa497c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""rackio/workers/__init__.py
This module implements all Rackio Workers.
"""
from .alarms import AlarmWorker
from .api import APIWorker
from .continuos import _ContinuosWorker
from .controls import ControlWorker
from .functions import FunctionWorker
from .logger import LoggerWorker
from .state... | 24.785714 | 42 | 0.801153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.288184 |
ba9443740a1bddede8f3fe0b990e93d6b3615856 | 2,319 | py | Python | scripts/leetcode-submission.py | ZihuanLing/zihuanling.github.io | d1c308039bab43bf4966100e1783c486ec2f105d | [
"MIT"
] | 1 | 2022-02-24T07:05:19.000Z | 2022-02-24T07:05:19.000Z | scripts/leetcode-submission.py | ZihuanLing/zihuanling.github.io | d1c308039bab43bf4966100e1783c486ec2f105d | [
"MIT"
] | null | null | null | scripts/leetcode-submission.py | ZihuanLing/zihuanling.github.io | d1c308039bab43bf4966100e1783c486ec2f105d | [
"MIT"
] | null | null | null | # coding: utf-8
# 爬取leetcode刷题记录
import os
import json
import requests
import time
def parse_submissions(leetcode_session):
url = "https://leetcode.cn/api/submissions/"
headers = {
"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/... | 32.208333 | 156 | 0.580854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,034 | 0.443586 |
ba94a64403dabcab291a47f945af3b92e3234033 | 3,179 | py | Python | milestone1.py | kaiicheng/United-States-Population-Name-Dashboard | 9019538fcb58c7e97a3dc67d3b27cb8ad180e448 | [
"MIT"
] | null | null | null | milestone1.py | kaiicheng/United-States-Population-Name-Dashboard | 9019538fcb58c7e97a3dc67d3b27cb8ad180e448 | [
"MIT"
] | null | null | null | milestone1.py | kaiicheng/United-States-Population-Name-Dashboard | 9019538fcb58c7e97a3dc67d3b27cb8ad180e448 | [
"MIT"
] | null | null | null | """
File: Milestone1.py
Name:
-----------------------
This file tests the milestone 1 for
our babyname.py project
"""
import sys
def add_data_for_name(name_data, year, rank, name):
# Compare the rank of certain name which already exists in the name_data dictionary.
final_rank = int(rank)
#print(name_dat... | 31.475248 | 88 | 0.493551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,449 | 0.452954 |
ba951d4ecafedfb08c55ff85b92950bc2b527ea0 | 1,003 | py | Python | Ballot.py | robbierobinette/rcv-tensorflow | 984852902f465bb6f61ba863e4b76092249911d0 | [
"MIT"
] | null | null | null | Ballot.py | robbierobinette/rcv-tensorflow | 984852902f465bb6f61ba863e4b76092249911d0 | [
"MIT"
] | null | null | null | Ballot.py | robbierobinette/rcv-tensorflow | 984852902f465bb6f61ba863e4b76092249911d0 | [
"MIT"
] | null | null | null | from typing import List, Set
from CandidateScore import CandidateScore
from Candidate import Candidate
from Voter import Voter
from ElectionConfig import ElectionConfig
class Ballot:
def __init__(self, voter: Voter, candidates: List[Candidate], config: ElectionConfig):
self.voter = voter
scores =... | 37.148148 | 120 | 0.680957 | 830 | 0.827517 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.073779 |
ba9b2619a41c953c21ce58a65c8f71171bae6e85 | 5,853 | py | Python | experiments/RASF_pretraining/reconstruction.py | seanywang0408/RASF | 2437ace3f19812d1fe852651358b3cbb9325efb7 | [
"Apache-2.0"
] | 14 | 2022-03-16T13:00:38.000Z | 2022-03-28T11:53:34.000Z | experiments/RASF_pretraining/reconstruction.py | seanywang0408/RASF | 2437ace3f19812d1fe852651358b3cbb9325efb7 | [
"Apache-2.0"
] | null | null | null | experiments/RASF_pretraining/reconstruction.py | seanywang0408/RASF | 2437ace3f19812d1fe852651358b3cbb9325efb7 | [
"Apache-2.0"
] | null | null | null | import os
import time
from tqdm import tqdm
import trimesh
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import _init_path
from config import cfg
from RASF import RASF
from pointclouds.datasets.shapenetpart import ShapenetPartDataset, to... | 32.337017 | 152 | 0.653169 | 906 | 0.154792 | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 0.072612 |
ba9c65d98c4bb9faaef93d07f4f1dd876514f4a1 | 1,697 | py | Python | geoware/models/timezone.py | un33k/django-geoware | cd7c51e358e5b2d2c3ca92626edbdd7e4f573ab8 | [
"MIT"
] | 4 | 2017-01-02T21:38:45.000Z | 2017-01-31T09:59:30.000Z | geoware/models/timezone.py | un33k/django-geoware | cd7c51e358e5b2d2c3ca92626edbdd7e4f573ab8 | [
"MIT"
] | null | null | null | geoware/models/timezone.py | un33k/django-geoware | cd7c51e358e5b2d2c3ca92626edbdd7e4f573ab8 | [
"MIT"
] | null | null | null | from django.utils.translation import ugettext as _
from slugify import slugify
from .base import models
class Timezone(models.Model):
"""
Timezone Model Class.
"""
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
country = models.ForeignK... | 20.695122 | 72 | 0.558044 | 1,588 | 0.935769 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.139658 |
ba9cab0a86eada80999c888eaab2f667c62be16c | 1,905 | py | Python | tools/ransac.py | OhJaeKwang/gaze_estimation | 8fefa9ccb353ae5c164251a61221c369c1a825d2 | [
"MIT"
] | null | null | null | tools/ransac.py | OhJaeKwang/gaze_estimation | 8fefa9ccb353ae5c164251a61221c369c1a825d2 | [
"MIT"
] | null | null | null | tools/ransac.py | OhJaeKwang/gaze_estimation | 8fefa9ccb353ae5c164251a61221c369c1a825d2 | [
"MIT"
] | null | null | null | import os
import sys
import cv2
import numpy as np
import matplotlib.pyplot as plt
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from lib.utils import utils_inference
from lib.utils import utils_landmarks
from lib.ransac import ransac
### Eye Landmarks Detection
method = 'unityeyes_angle'
ckpt = 13... | 36.634615 | 193 | 0.709186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 842 | 0.438313 |
ba9d5fcab89a1398779538800ea4c82f1e9c755c | 241 | py | Python | test_scripts/pub100.py | talih0/dps-for-iot | e16f61da15d1d06f13cfce8a667c710f45441d4b | [
"Apache-2.0"
] | 57 | 2017-12-14T01:37:02.000Z | 2021-11-08T11:19:32.000Z | test_scripts/pub100.py | talih0/dps-for-iot | e16f61da15d1d06f13cfce8a667c710f45441d4b | [
"Apache-2.0"
] | 30 | 2017-11-03T18:40:51.000Z | 2021-06-30T13:47:16.000Z | test_scripts/pub100.py | talih0/dps-for-iot | e16f61da15d1d06f13cfce8a667c710f45441d4b | [
"Apache-2.0"
] | 15 | 2018-03-14T05:56:08.000Z | 2021-04-25T21:29:09.000Z | #!/usr/bin/python
from common import *
import atexit
atexit.register(cleanup)
subs = [
sub('1.1.#'),
sub('1.1.#'),
sub('1.1.#')
]
for i in range(100):
pub('1.1.{}'.format(i))
expect_pub_received(subs, ['1.1.\d+'] * 100)
| 13.388889 | 44 | 0.560166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.228216 |
ba9d99b33e51af7c8fc9a8456d443439f7486391 | 1,103 | py | Python | population.py | SSebigo/Gomoku | cc7195e3696a614119beb7ec1942f28a23b155b7 | [
"MIT"
] | null | null | null | population.py | SSebigo/Gomoku | cc7195e3696a614119beb7ec1942f28a23b155b7 | [
"MIT"
] | null | null | null | population.py | SSebigo/Gomoku | cc7195e3696a614119beb7ec1942f28a23b155b7 | [
"MIT"
] | null | null | null | from typing import List
from neural_network import NeuralNetwork
class Population(object):
_individuals: list
_layers: int
_neurons: int
population: list
def __init__(self, layers: int, neurons: int, max_individuals: int):
self._layers = layers
self._neurons = neurons
self... | 26.902439 | 75 | 0.606528 | 1,035 | 0.93835 | 0 | 0 | 258 | 0.233908 | 0 | 0 | 98 | 0.088849 |
ba9f502bd80efd70b9e6648ecf3e02c644ef98ef | 4,601 | py | Python | borda.py | thesis-wisard/thesis_libs | a5643775092fdb4322c28ff3793075c86694025d | [
"MIT"
] | null | null | null | borda.py | thesis-wisard/thesis_libs | a5643775092fdb4322c28ff3793075c86694025d | [
"MIT"
] | null | null | null | borda.py | thesis-wisard/thesis_libs | a5643775092fdb4322c28ff3793075c86694025d | [
"MIT"
] | null | null | null | import wisardpkg as wp
import random
import numpy as np
import time
from astropy.stats import bootstrap
from astropy.utils import NumpyRNGContext
LOW_N = 5
HIGH_N = 31
MIN_SCORE = 0.1
GROW_INTERVAL = 100
MAX_DISCRIMINATOR_LIMIT = 10
class BordaBagging(object):
def __init__(self, train_dataset, learners, part... | 33.583942 | 111 | 0.564008 | 4,365 | 0.948707 | 0 | 0 | 1,791 | 0.389263 | 0 | 0 | 46 | 0.009998 |
ba9ff79eed66de8a976604f59d5d1e814bf57989 | 21,116 | py | Python | cloudroast/objectstorage/smoke/container_smoke.py | kurhula/cloudroast | dcccce6b3af9d150cb667fc05bd051e97b5f6e2c | [
"Apache-2.0"
] | null | null | null | cloudroast/objectstorage/smoke/container_smoke.py | kurhula/cloudroast | dcccce6b3af9d150cb667fc05bd051e97b5f6e2c | [
"Apache-2.0"
] | null | null | null | cloudroast/objectstorage/smoke/container_smoke.py | kurhula/cloudroast | dcccce6b3af9d150cb667fc05bd051e97b5f6e2c | [
"Apache-2.0"
] | 1 | 2020-04-13T17:47:04.000Z | 2020-04-13T17:47:04.000Z | """
Copyright 2013 Rackspace
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
dist... | 33.305994 | 79 | 0.617446 | 20,377 | 0.965003 | 0 | 0 | 0 | 0 | 0 | 0 | 4,316 | 0.204395 |
baa043ba112c1db1f058e902f2a7ddaf2805cded | 254 | py | Python | ui/experimental.py | miguelgarciaarribas/multroaster | eb3a17e8257cd184cb91d53a2a61c6d3481ac206 | [
"MIT"
] | 1 | 2020-04-18T09:13:18.000Z | 2020-04-18T09:13:18.000Z | ui/experimental.py | miguelgarciaarribas/multroaster | eb3a17e8257cd184cb91d53a2a61c6d3481ac206 | [
"MIT"
] | 18 | 2020-04-24T07:22:54.000Z | 2020-08-28T10:33:18.000Z | ui/experimental.py | miguelgarciaarribas/multroaster | eb3a17e8257cd184cb91d53a2a61c6d3481ac206 | [
"MIT"
] | null | null | null | from PyQt5.QtGui import QImage, QPixmap # review
class ExperimentalContent():
def __init__(self, mainWindow):
print("Loading Experimental content")
self.mainWindow = mainWindow
self.mainWindow.expLabel.setText("hello world")
| 31.75 | 55 | 0.716535 | 203 | 0.799213 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0.200787 |
baa0b245e76c44193e4e6bd7bfd85355edd44a65 | 3,683 | py | Python | py2neo/exceptions.py | AYCHTECH/PY2NEO | fa0d296c13acb1697f4e112995eea9492e8e6159 | [
"Apache-2.0"
] | null | null | null | py2neo/exceptions.py | AYCHTECH/PY2NEO | fa0d296c13acb1697f4e112995eea9492e8e6159 | [
"Apache-2.0"
] | null | null | null | py2neo/exceptions.py | AYCHTECH/PY2NEO | fa0d296c13acb1697f4e112995eea9492e8e6159 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2011-2013, Nigel Small
#
# 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... | 25.054422 | 77 | 0.660874 | 2,817 | 0.764866 | 0 | 0 | 812 | 0.220472 | 0 | 0 | 793 | 0.215314 |
baa0fbddbd32d3ef3694797a1f0547612c46e0e3 | 163 | py | Python | old/07/04.py | systemquant/book-pandas-for-finance | 90b7eb9be1de20a12ae72b9bb5d51424a979b174 | [
"MIT"
] | 10 | 2021-02-04T12:49:56.000Z | 2022-03-26T11:28:11.000Z | old/07/04.py | systemquant/book-pandas-for-finance | 90b7eb9be1de20a12ae72b9bb5d51424a979b174 | [
"MIT"
] | 1 | 2022-03-24T03:47:14.000Z | 2022-03-24T03:54:52.000Z | old/07/04.py | systemquant/book-pandas-for-finance | 90b7eb9be1de20a12ae72b9bb5d51424a979b174 | [
"MIT"
] | 4 | 2021-07-17T16:50:15.000Z | 2022-03-22T05:55:34.000Z | import pybithumb
df = pybithumb.get_ohlcv("BTC", interval="day")
df["변동성"] = (df['high'] - df['low']) * 0.5
df["목표가"] = df["open"] + df["변동성"].shift(1)
print(df)
| 23.285714 | 47 | 0.588957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.331492 |
baa1caa8e9bdbac6ca15b15bf9f64230c965b99a | 23,105 | bzl | Python | repositories.bzl | jesseschalken/rules_proto_grpc | 2e8be8e27cc82203794f14dbdcf37189b02ab722 | [
"Apache-2.0"
] | null | null | null | repositories.bzl | jesseschalken/rules_proto_grpc | 2e8be8e27cc82203794f14dbdcf37189b02ab722 | [
"Apache-2.0"
] | null | null | null | repositories.bzl | jesseschalken/rules_proto_grpc | 2e8be8e27cc82203794f14dbdcf37189b02ab722 | [
"Apache-2.0"
] | null | null | null | """Common dependencies for rules_proto_grpc."""
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive", "http_file")
load("//internal:common.bzl", "check_bazel_minimum_version")
# Versions
MINIMUM_BAZEL_VERSION = "3.0.0"
ENABLE_VERSION_NAGS = False
PROTOBUF_VERSION = "3.19.1" # When updating, also updat... | 36.328616 | 142 | 0.639602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12,780 | 0.553127 |
baa49d25bf46be87576157d1dc079d66786d0226 | 437 | py | Python | ws_assets/routers.py | Ragnaruk/ws_assets | f593eb0e5c5fe2bf2945b488d7ab10be34d6b5cd | [
"MIT"
] | null | null | null | ws_assets/routers.py | Ragnaruk/ws_assets | f593eb0e5c5fe2bf2945b488d7ab10be34d6b5cd | [
"MIT"
] | null | null | null | ws_assets/routers.py | Ragnaruk/ws_assets | f593eb0e5c5fe2bf2945b488d7ab10be34d6b5cd | [
"MIT"
] | null | null | null | from fastapi import APIRouter
from ws_assets.routes import ui
from ws_assets.routes.api.v1 import websocket
from ws_assets.settings import Settings
settings = Settings()
# /api/v1
api_v1_router = APIRouter(tags=["v1"])
for endpoints in (websocket,):
api_v1_router.include_router(endpoints.router, prefix="/api/v1... | 20.809524 | 68 | 0.759725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.06865 |
baa5ec809f693db6d15b2be48cd628a88b94983c | 5,279 | py | Python | adventuredocs/adocs.py | hypatia-software-org/adventuredocs | bba007855e464cd95945b8a5cce73ebaa25f487f | [
"MIT"
] | 7 | 2016-02-20T00:38:10.000Z | 2016-04-18T16:45:20.000Z | adventuredocs/adocs.py | lily-seabreeze/adventuredocs | bba007855e464cd95945b8a5cce73ebaa25f487f | [
"MIT"
] | 19 | 2016-02-20T20:22:43.000Z | 2016-04-17T19:07:10.000Z | adventuredocs/adocs.py | lillian-gardenia-seabreeze/adventuredocs | bba007855e464cd95945b8a5cce73ebaa25f487f | [
"MIT"
] | 2 | 2016-03-26T01:57:37.000Z | 2016-03-28T18:06:43.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""AdventureDocs
Choose Your Own Adventure style software
documentation from markdown.
Use markdown files to represent a section of instructions,
and options to skip to a section, or just go to the next
section.
Load a directory of markdown files, which also includes a
... | 28.846995 | 249 | 0.638757 | 4,212 | 0.797878 | 0 | 0 | 2,427 | 0.459746 | 0 | 0 | 1,814 | 0.343626 |
baa74fba93f9d044432ac0ced5081ee63ebaa072 | 3,095 | py | Python | examples/tutorial/tutorial_part_signatures.py | PhilippBoeing/synbioweaver | 23efdf79a325885a43e82ba13e6ccefb8eb3d733 | [
"MIT"
] | null | null | null | examples/tutorial/tutorial_part_signatures.py | PhilippBoeing/synbioweaver | 23efdf79a325885a43e82ba13e6ccefb8eb3d733 | [
"MIT"
] | null | null | null | examples/tutorial/tutorial_part_signatures.py | PhilippBoeing/synbioweaver | 23efdf79a325885a43e82ba13e6ccefb8eb3d733 | [
"MIT"
] | null | null | null | # This example runs the examples from figure 5 of the manuscript
from synbioweaver import *
class BBa_B0030(RBS):
def __init__(self):
super(BBa_B0030, self).__init__()
self.type = "biobrick"
self.sequence = "attaaagaggagaaa"
declareNewMolecule('GFP')
declareNewMolecule('TetR')
declareNew... | 40.194805 | 136 | 0.685622 | 2,093 | 0.676252 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.181906 |