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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
62aa013ebef248c818a0b974ca3451007db6d0bf | 6,093 | py | Python | MOOCdbFeatureExtract/program/main.py | rcmurray/WorkflowComponents | 368f8132ce5bef3ac3fb9d8e1a13a08f91764cfa | [
"BSD-4-Clause-UC"
] | 26 | 2016-09-14T18:15:29.000Z | 2021-12-01T20:01:29.000Z | MOOCdbFeatureExtract/program/main.py | rcmurray/WorkflowComponents | 368f8132ce5bef3ac3fb9d8e1a13a08f91764cfa | [
"BSD-4-Clause-UC"
] | 122 | 2017-09-12T15:22:03.000Z | 2021-09-27T17:25:08.000Z | MOOCdbFeatureExtract/program/main.py | rcmurray/WorkflowComponents | 368f8132ce5bef3ac3fb9d8e1a13a08f91764cfa | [
"BSD-4-Clause-UC"
] | 17 | 2017-02-16T16:04:41.000Z | 2021-02-06T05:36:44.000Z | """
This file executes Database Featue Extraction of the Data Science Foundry:
This file needs to be run after the MoocDb is constructed and curated
"""
import argparse
from logger import Logger
from datetime import datetime
import sys
import feature_extract as fe
import ConfigParser
#example of running on command l... | 52.982609 | 184 | 0.63893 |
62aa41a55ec37555527d6036c2a56cf076ee2e36 | 556 | py | Python | setup.py | andrewkshim/surveymonty | 869f1a0a2546874bd4fcdd18fd52a42b063252a7 | [
"MIT"
] | 15 | 2015-02-04T17:34:39.000Z | 2021-05-14T11:51:03.000Z | setup.py | andrewkshim/surveymonty | 869f1a0a2546874bd4fcdd18fd52a42b063252a7 | [
"MIT"
] | 4 | 2015-07-16T14:39:27.000Z | 2017-07-07T19:38:19.000Z | setup.py | andrewkshim/surveymonty | 869f1a0a2546874bd4fcdd18fd52a42b063252a7 | [
"MIT"
] | 17 | 2015-07-08T17:30:35.000Z | 2021-01-27T10:03:12.000Z | from setuptools import setup, find_packages
with open('./surveymonty/VERSION', 'r') as version_file:
version = version_file.read().strip()
setup(
name='surveymonty',
version=version,
install_requires=[
'requests>=2.12.4,<3.0'
],
packages=find_packages(),
include_package_data=Tr... | 21.384615 | 56 | 0.676259 |
62aa4c7fd3b80a2a3d24883d360e958fc78788b7 | 34,277 | py | Python | datasets/mmdet_tusimple/mmdet/models/dense_heads/lane_rpn_head_bak.py | Jinming-Su/SGNet | fcf35edaf332c1a4e2713acad5a0fc0e21509c3e | [
"MIT"
] | 13 | 2021-10-15T15:14:45.000Z | 2022-03-09T00:22:55.000Z | datasets/mmdet_tusimple/mmdet/models/dense_heads/lane_rpn_head_bak.py | Jinming-Su/SGNet | fcf35edaf332c1a4e2713acad5a0fc0e21509c3e | [
"MIT"
] | 4 | 2021-10-17T09:04:20.000Z | 2022-03-25T06:43:00.000Z | datasets/mmdet_tusimple/mmdet/models/dense_heads/lane_rpn_head_bak.py | Jinming-Su/SGNet | fcf35edaf332c1a4e2713acad5a0fc0e21509c3e | [
"MIT"
] | 2 | 2021-11-17T11:31:35.000Z | 2021-11-29T06:50:35.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import normal_init
from mmdet.core.bbox import lane_batched_nms
from mmdet.core import multi_apply
from ..builder import HEADS
from .lane_anchor_head import LaneAnchorHead
from .rpn_test_mixin import LaneRPNTestMixin
import torch
import to... | 44.865183 | 122 | 0.575605 |
62aa587d10f4e57aea5540ba7304bf98fbfbfb96 | 6,917 | py | Python | userbot/plugins/mute.py | Ahmad99Ahmad/PaYtHoNMeMbEr | fc2b97e9a0826123b938d56d9ce405bef3560d55 | [
"MIT"
] | 3 | 2020-04-20T06:24:36.000Z | 2020-05-24T18:51:36.000Z | userbot/plugins/mute.py | Ahmad99Ahmad/PaYtHoNMeMbEr | fc2b97e9a0826123b938d56d9ce405bef3560d55 | [
"MIT"
] | null | null | null | userbot/plugins/mute.py | Ahmad99Ahmad/PaYtHoNMeMbEr | fc2b97e9a0826123b938d56d9ce405bef3560d55 | [
"MIT"
] | 6 | 2020-08-17T16:11:18.000Z | 2020-11-03T16:06:46.000Z | from userbot.plugins.sql_helper.mute_sql import is_muted, mute, unmute
import asyncio
@command(outgoing=True, pattern=r"^.mute ?(\d+)?")
async def startmute(event):
private = False
if event.fwd_from:
return
elif event.is_private:
await event.edit("Unexpected issues or ugly errors may occur!... | 39.982659 | 157 | 0.605899 |
62aa5a11ce059f628b4555ee4dbf8f672cf7587b | 621 | py | Python | app/schemas/auth.py | Simple2B/cortex-backend | 9cf6802b0eff9254875bcbe553517500ccfc9082 | [
"MIT"
] | 1 | 2021-10-17T13:28:51.000Z | 2021-10-17T13:28:51.000Z | app/schemas/auth.py | Simple2B/cortex-backend | 9cf6802b0eff9254875bcbe553517500ccfc9082 | [
"MIT"
] | null | null | null | app/schemas/auth.py | Simple2B/cortex-backend | 9cf6802b0eff9254875bcbe553517500ccfc9082 | [
"MIT"
] | null | null | null | from typing import Optional
from pydantic import BaseModel, EmailStr
class Doctor(BaseModel):
id: Optional[int]
first_name: str
last_name: str
email: Optional[EmailStr]
class Config:
orm_mode = True
class DoctorLogin(BaseModel):
email: str
password: str
class DoctorCreate(Base... | 15.525 | 40 | 0.669887 |
62aa76895d89ede0c9ea29baaafec18cb5fbbc92 | 5,090 | py | Python | tests/algorihtm_tests/find_nearest_tests/numerical_data/squared_euclidean_distance_test.py | cenkbircanoglu/clustering | 0a97fbf43e58e65e8d9eed30eecff00bcd47f093 | [
"MIT"
] | 23 | 2015-01-21T01:39:11.000Z | 2019-08-27T09:43:39.000Z | tests/algorihtm_tests/find_nearest_tests/numerical_data/squared_euclidean_distance_test.py | cenkbircanoglu/clustering | 0a97fbf43e58e65e8d9eed30eecff00bcd47f093 | [
"MIT"
] | 1 | 2015-01-18T08:52:30.000Z | 2015-01-18T08:52:30.000Z | tests/algorihtm_tests/find_nearest_tests/numerical_data/squared_euclidean_distance_test.py | cenkbircanoglu/clustering | 0a97fbf43e58e65e8d9eed30eecff00bcd47f093 | [
"MIT"
] | 6 | 2015-03-23T16:58:18.000Z | 2019-03-12T06:31:56.000Z | from unittest import TestCase
from similarityPy.algorithms.find_nearest import FindNearest
from similarityPy.measure.numerical_data.squared_euclidean_distance import SquaredEuclideanDistance
from tests import test_logger
__author__ = 'cenk'
class FindNearestTest(TestCase):
def setUp(self):
pass
de... | 41.048387 | 120 | 0.576031 |
62aaf0d59597bde8b6adef43e858dabffc100935 | 5,480 | py | Python | docs/conf.py | sammchardy/python-exx | b48b7ad28e6a8fe352f934527e6dc912429f0889 | [
"MIT"
] | 3 | 2018-01-19T06:22:44.000Z | 2018-02-05T03:19:38.000Z | docs/conf.py | sammchardy/python-exx | b48b7ad28e6a8fe352f934527e6dc912429f0889 | [
"MIT"
] | 4 | 2018-01-20T02:33:57.000Z | 2019-10-03T04:52:42.000Z | docs/conf.py | sammchardy/python-exx | b48b7ad28e6a8fe352f934527e6dc912429f0889 | [
"MIT"
] | 6 | 2018-01-27T13:19:49.000Z | 2021-09-05T21:10:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# python-exx documentation build configuration file
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a defa... | 29.621622 | 79 | 0.676095 |
62aafdbfa0dffd8861417df5756e92422b882a07 | 57,293 | py | Python | pymag/GalaxyClusters.py | inonchiu/PyMaG | ca6146cd354fd35be1eb21669bf505ff1acd3cb5 | [
"MIT"
] | 1 | 2017-04-21T13:27:23.000Z | 2017-04-21T13:27:23.000Z | pymag/GalaxyClusters.py | inonchiu/PyMaG | ca6146cd354fd35be1eb21669bf505ff1acd3cb5 | [
"MIT"
] | null | null | null | pymag/GalaxyClusters.py | inonchiu/PyMaG | ca6146cd354fd35be1eb21669bf505ff1acd3cb5 | [
"MIT"
] | null | null | null |
######################################################
#
# This is the module of Galaxy Clusters
#
######################################################
import numpy as np
from math import *
import matplotlib.pyplot as pyplt
import os
import pyfits
import numpy.lib.recfunctions as rfn # magic, used to join structure... | 48.512278 | 367 | 0.478819 |
62ab230bae53e0c16e9585cc3c87623837c9ab6e | 5,773 | py | Python | scripts/release_scripts/restore_backup.py | OsamaAdam98/oppia | 9c9c3d0fc6710f58394c5e28d414043340ed2a62 | [
"Apache-2.0"
] | 2 | 2019-12-02T18:56:49.000Z | 2020-03-14T17:14:15.000Z | scripts/release_scripts/restore_backup.py | OsamaAdam98/oppia | 9c9c3d0fc6710f58394c5e28d414043340ed2a62 | [
"Apache-2.0"
] | 3 | 2020-03-16T06:40:30.000Z | 2020-03-30T12:10:20.000Z | scripts/release_scripts/restore_backup.py | RafayGhafoor/oppia | 855d02414ca00d0807d841e48be7ce7b94d68c29 | [
"Apache-2.0"
] | 2 | 2019-12-02T18:56:56.000Z | 2020-03-16T08:03:45.000Z | # Copyright 2019 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 required by applicable ... | 36.770701 | 80 | 0.706219 |
62ab451a93368146ee72afaf810a6ffed090c8f3 | 13,094 | py | Python | switch_model/generators/extensions/storage.py | ashutosh-pande/switch3 | 769d25a42c8323f24740567aa15c980f905a03e2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | switch_model/generators/extensions/storage.py | ashutosh-pande/switch3 | 769d25a42c8323f24740567aa15c980f905a03e2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | switch_model/generators/extensions/storage.py | ashutosh-pande/switch3 | 769d25a42c8323f24740567aa15c980f905a03e2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016-2017 The Switch Authors. All rights reserved.
# Licensed under the Apache License, Version 2.0, which is in the LICENSE file.
"""
This module defines storage technologies. It builds on top of generic
generators, adding components for deciding how much energy to build into
storage, when to charge, ... | 44.537415 | 151 | 0.703987 |
62ab666064bc84690a9b552b1997dd5f5f7a9a36 | 309 | py | Python | astroML/tests/test_lumfunc.py | astroML/astroML | f66558232f6d33cb34ecd1bed8a80b9db7ae1c30 | [
"BSD-2-Clause"
] | 735 | 2015-01-07T23:55:25.000Z | 2022-03-31T15:20:25.000Z | astroML/tests/test_lumfunc.py | chrinide/astroML | 7e94d369ad1a608c1ced11b4fa0533c22df20809 | [
"BSD-2-Clause"
] | 168 | 2015-01-06T21:02:41.000Z | 2022-03-29T03:15:29.000Z | astroML/tests/test_lumfunc.py | chrinide/astroML | 7e94d369ad1a608c1ced11b4fa0533c22df20809 | [
"BSD-2-Clause"
] | 278 | 2015-01-26T00:29:38.000Z | 2022-02-25T21:17:50.000Z | import numpy as np
from astroML.lumfunc import Cminus
def test_cminus_nans():
# Regression test for https://github.com/astroML/astroML/issues/234
x = [10.02, 10.00]
y = [14.97, 14.99]
xmax = [10.03, 10.01]
ymax = [14.98, 15.00]
assert np.isfinite(np.sum(Cminus(x, y, xmax, ymax)))
| 22.071429 | 71 | 0.63754 |
62ab844a9c2b8fb6ee92cbdf4407a3b751e67230 | 1,968 | py | Python | nanotune/tests/sim_scenarios/sim_scenarios.py | microsoft/nanotune | 68be8f5b74a52d57b74ccac228e120d9ab48e3e4 | [
"MIT"
] | 5 | 2021-02-24T14:32:37.000Z | 2022-01-05T16:37:26.000Z | nanotune/tests/sim_scenarios/sim_scenarios.py | microsoft/nanotune | 68be8f5b74a52d57b74ccac228e120d9ab48e3e4 | [
"MIT"
] | 149 | 2021-03-23T14:44:39.000Z | 2022-03-31T06:09:07.000Z | nanotune/tests/sim_scenarios/sim_scenarios.py | LaudateCorpus1/nanotune | 0ada354597b16f6dbb17ca7be01ab7668b6d5049 | [
"MIT"
] | 10 | 2021-03-29T13:36:38.000Z | 2022-02-16T23:06:35.000Z | # Copyright (c) 2021 Jana Darulova
#
# This software is released under the MIT License.
# https://opensource.org/licenses/MIT
# Copyright (c) 2021 Jana Darulova
#
# This software is released under the MIT License.
# https://opensource.org/licenses/MIT
import os
import pytest
from sim.simulation_scenario import Simula... | 27.333333 | 76 | 0.699187 |
62ab8475b8211543a33bc3d01798e68b7f29bce9 | 358 | py | Python | tests.py | mattkwiecien/balutils | 9dcd5419a796e23df671fc4dc22c78cf7e2c61fc | [
"MIT"
] | null | null | null | tests.py | mattkwiecien/balutils | 9dcd5419a796e23df671fc4dc22c78cf7e2c61fc | [
"MIT"
] | null | null | null | tests.py | mattkwiecien/balutils | 9dcd5419a796e23df671fc4dc22c78cf7e2c61fc | [
"MIT"
] | null | null | null | from balutils.CatalogFactory import CatalogFactory
from balutils import Catalog
def test_create_fits():
cat = CatalogFactory.Create('testfile.nm', ['fits'])
def main():
test_create_fits()
# test_create_detection()
# test_create_gold_default()
# test_create_gold_sof()
# test_create_gold_mof()
... | 22.375 | 56 | 0.717877 |
62aba65f9b44d024f614d5f1a488dcbc2c8693ce | 5,236 | py | Python | Python_files/INRIX_data_preprocessing_12_build_link_with_capac_and_free_flow_time_and_flow_Apr_ext.py | jingzbu/InverseVITraffic | c0d33d91bdd3c014147d58866c1a2b99fb8a9608 | [
"MIT"
] | null | null | null | Python_files/INRIX_data_preprocessing_12_build_link_with_capac_and_free_flow_time_and_flow_Apr_ext.py | jingzbu/InverseVITraffic | c0d33d91bdd3c014147d58866c1a2b99fb8a9608 | [
"MIT"
] | null | null | null | Python_files/INRIX_data_preprocessing_12_build_link_with_capac_and_free_flow_time_and_flow_Apr_ext.py | jingzbu/InverseVITraffic | c0d33d91bdd3c014147d58866c1a2b99fb8a9608 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
__author__ = "Jing Zhang"
__email__ = "jingzbu@gmail.com"
__status__ = "Development"
from util import *
link_with_capac_list = list(zload('../temp_files/links_with_capac_ext.pkz'))
# print(len(link_with_capac_list))
# print(len(tmc_capac_dict_AM))
# print(tmc_ref_speed_dict['129+04099'])
ro... | 51.841584 | 114 | 0.608671 |
62abdd1e38165ca4c72d3ff3f3fec462125afe2e | 403 | py | Python | socialregistration/contrib/github/urls.py | nypublicradio/legacy-publisher-django-socialregistration | 181f75d152f553f77fa899dac895c4276108204f | [
"MIT"
] | 63 | 2015-01-27T16:52:03.000Z | 2021-08-29T04:23:51.000Z | socialregistration/contrib/github/urls.py | nypublicradio/legacy-publisher-django-socialregistration | 181f75d152f553f77fa899dac895c4276108204f | [
"MIT"
] | 3 | 2016-05-26T07:46:53.000Z | 2022-02-16T15:25:16.000Z | socialregistration/contrib/github/urls.py | nypublicradio/legacy-publisher-django-socialregistration | 181f75d152f553f77fa899dac895c4276108204f | [
"MIT"
] | 23 | 2015-02-02T13:33:46.000Z | 2020-10-25T20:02:53.000Z | from django.conf import settings
from socialregistration.compat.urls import *
from socialregistration.contrib.github.views import GithubRedirect, \
GithubCallback, GithubSetup
urlpatterns = patterns('',
url('^redirect/$', GithubRedirect.as_view(), name='redirect'),
url('^callback/$', GithubCallback.as_vie... | 36.636364 | 69 | 0.727047 |
62abe63e297c0e754e60e65ff3165eb5e55ac493 | 5,912 | py | Python | lib/about.py | edward0rtiz/clustering-demand-scm | 0e7dd436b66eba29eebe4f540e51c89d40d7d897 | [
"MIT"
] | null | null | null | lib/about.py | edward0rtiz/clustering-demand-scm | 0e7dd436b66eba29eebe4f540e51c89d40d7d897 | [
"MIT"
] | null | null | null | lib/about.py | edward0rtiz/clustering-demand-scm | 0e7dd436b66eba29eebe4f540e51c89d40d7d897 | [
"MIT"
] | null | null | null | import os
import pathlib
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import time
app = __import__("app").app
EMAIL_LOGO = "../assets/email.png"
carloslink = "https://www.linked... | 40.493151 | 85 | 0.264208 |
62ac52729fe50d0d6c2d0d51a7446a491cdc508f | 5,013 | py | Python | detectia/datamodule/base_data_loader.py | kartik4949/detectia | e62165372b2abac63239d540dfa8c3ee0eafd75c | [
"Apache-2.0"
] | 3 | 2021-02-02T10:59:26.000Z | 2021-11-20T07:56:29.000Z | detectia/datamodule/base_data_loader.py | kartik4949/detectia | e62165372b2abac63239d540dfa8c3ee0eafd75c | [
"Apache-2.0"
] | null | null | null | detectia/datamodule/base_data_loader.py | kartik4949/detectia | e62165372b2abac63239d540dfa8c3ee0eafd75c | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Kartik Sharma. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 33.198675 | 116 | 0.63834 |
62ac559b8dafed601da01000cbe373fd8de5f90d | 861 | py | Python | Plug-and-play module/DepthWiseConv.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 923 | 2020-01-11T06:36:53.000Z | 2022-03-31T00:26:57.000Z | Plug-and-play module/DepthWiseConv.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 25 | 2020-02-27T08:35:46.000Z | 2022-01-25T08:54:19.000Z | Plug-and-play module/DepthWiseConv.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 262 | 2020-01-02T02:19:40.000Z | 2022-03-23T04:56:16.000Z | import torch.nn as nn
class DWConv(nn.Module):
def __init__(self, in_plane, out_plane):
super(DWConv, self).__init__()
self.depth_conv = nn.Conv2d(in_channels=in_plane,
out_channels=in_plane,
kernel_size=3,
... | 35.875 | 59 | 0.398374 |
62ac63da47a1e13982f594ab91867d0023ffbd7e | 5,946 | py | Python | scielomanager/validator/tests/tests_pages.py | patymori/scielo-manager | 0945f377376de8ef0ada83c35b4e2312062cdf45 | [
"BSD-2-Clause"
] | 8 | 2015-07-07T03:09:16.000Z | 2019-03-16T04:46:32.000Z | scielomanager/validator/tests/tests_pages.py | DalavanCloud/scielo-manager | 0945f377376de8ef0ada83c35b4e2312062cdf45 | [
"BSD-2-Clause"
] | 245 | 2015-01-14T13:29:58.000Z | 2022-01-13T00:48:44.000Z | scielomanager/validator/tests/tests_pages.py | DalavanCloud/scielo-manager | 0945f377376de8ef0ada83c35b4e2312062cdf45 | [
"BSD-2-Clause"
] | 5 | 2016-02-19T15:47:08.000Z | 2019-03-16T04:46:20.000Z | # coding:utf-8
from os import path
import unittest
import mocker
from PIL import Image
import StringIO
from django.core.urlresolvers import reverse
from django_webtest import WebTest
from django.conf import settings
from django_factory_boy import auth
from django.core.files.uploadedfile import InMemoryUploadedFile
fr... | 33.784091 | 128 | 0.653044 |
62ac90c4ffa89ab052456166a76b35b476cfa234 | 1,739 | py | Python | Code/word_tokenizer_kafka.py | EthanTGo/DataWarehouseProject | 0c8ca5c324c0aefb09bbcb57abfd9df593251f18 | [
"MIT"
] | null | null | null | Code/word_tokenizer_kafka.py | EthanTGo/DataWarehouseProject | 0c8ca5c324c0aefb09bbcb57abfd9df593251f18 | [
"MIT"
] | null | null | null | Code/word_tokenizer_kafka.py | EthanTGo/DataWarehouseProject | 0c8ca5c324c0aefb09bbcb57abfd9df593251f18 | [
"MIT"
] | null | null | null | import json
from time import sleep
import nltk
nltk.download('punkt')
from kafka import KafkaConsumer, KafkaProducer
producer = KafkaProducer(bootstrap_servers='localhost:9092', value_serializer=lambda v: json.dumps(v).encode('utf-8'))
'''
For every incoming message, we will perform the appropriate filter to remove ... | 36.229167 | 119 | 0.696377 |
62aca1d6e601fc19e77dc466a275423f5fc61cc4 | 32,063 | py | Python | biosteam/_heat_utility.py | yoelcortes/biosteam | 8d90788f87efb3b23428387d79097817962cad97 | [
"MIT"
] | 29 | 2019-03-01T04:47:43.000Z | 2020-02-23T01:34:40.000Z | biosteam/_heat_utility.py | yoelcortes/biosteam | 8d90788f87efb3b23428387d79097817962cad97 | [
"MIT"
] | 15 | 2019-11-01T13:57:50.000Z | 2020-02-28T06:40:46.000Z | biosteam/_heat_utility.py | yoelcortes/biosteam | 8d90788f87efb3b23428387d79097817962cad97 | [
"MIT"
] | 4 | 2019-06-05T15:39:04.000Z | 2020-01-08T20:42:04.000Z | # -*- coding: utf-8 -*-
# BioSTEAM: The Biorefinery Simulation and Techno-Economic Analysis Modules
# Copyright (C) 2020-2021, Yoel Cortes-Pena <yoelcortes@gmail.com>
#
# This module is under the UIUC open-source license. See
# github.com/BioSTEAMDevelopmentGroup/biosteam/blob/master/LICENSE.txt
# for license details... | 37.544496 | 138 | 0.602751 |
62acf3e8af5c04e573c84daf2c6be8a45e2f25b0 | 2,128 | py | Python | mmdet/models/backbones/mul_vgg.py | WangCK0809/mmdetection-wck | 00fb5bd75d36780c6e258c30591e76bd553b4a04 | [
"Apache-2.0"
] | 3 | 2020-06-16T01:23:37.000Z | 2021-06-29T00:11:02.000Z | mmdet/models/backbones/mul_vgg.py | WangCK0809/mmdetection-wck | 00fb5bd75d36780c6e258c30591e76bd553b4a04 | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/mul_vgg.py | WangCK0809/mmdetection-wck | 00fb5bd75d36780c6e258c30591e76bd553b4a04 | [
"Apache-2.0"
] | 1 | 2021-06-29T00:06:43.000Z | 2021-06-29T00:06:43.000Z | import torch.nn as nn
from .vgg import VGG
from ..registry import BACKBONES
"""
Author:WangCK
Date:2019.12.9
Description: This file defines a VGGNet to process multi-model(two) datasets.
Standard ResNet will process each model respectively.
Then, the results from these standard ResNets will ... | 29.971831 | 77 | 0.569079 |
62ad2232ba76670482a08c1f69be5165950c6e09 | 3,012 | py | Python | tests/test_docs/test_build_aea_programmatically/test_programmatic_aea.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | 28 | 2021-10-31T18:54:14.000Z | 2022-03-17T13:10:43.000Z | tests/test_docs/test_build_aea_programmatically/test_programmatic_aea.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | 66 | 2021-10-31T11:55:48.000Z | 2022-03-31T06:26:23.000Z | tests/test_docs/test_build_aea_programmatically/test_programmatic_aea.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2021 Valory AG
# Copyright 2018-2019 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | 38.126582 | 102 | 0.666335 |
62ad9ccd25becef45bb3dab350d7a3d4314a53e2 | 2,033 | py | Python | experiments/ashvin/vae/fixed3/reacher2d/state_dense.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/vae/fixed3/reacher2d/state_dense.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/vae/fixed3/reacher2d/state_dense.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | from rlkit.envs.multitask.point2d import MultitaskImagePoint2DEnv
from rlkit.envs.multitask.pusher2d import FullPusher2DEnv
from rlkit.launchers.arglauncher import run_variants
import rlkit.misc.hyperparameter as hyp
from rlkit.torch.vae.relabeled_vae_experiment import experiment
if __name__ == "__main__":
# noin... | 30.343284 | 73 | 0.608952 |
62ada32ceaa01e8de578b9366dc526b0c382f039 | 12,975 | py | Python | pythainlp/util/date.py | boomsquared/pythainlp | 958f51a1b8b4ea09c867d3aa7bc39264da8e2bc4 | [
"Apache-2.0"
] | null | null | null | pythainlp/util/date.py | boomsquared/pythainlp | 958f51a1b8b4ea09c867d3aa7bc39264da8e2bc4 | [
"Apache-2.0"
] | null | null | null | pythainlp/util/date.py | boomsquared/pythainlp | 958f51a1b8b4ea09c867d3aa7bc39264da8e2bc4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Thai date/time conversion and formatting
Note: Does not take into account the change of new year's day in Thailand
"""
# BE คือ พ.ศ.
# AD คือ ค.ศ.
# AH ปีฮิจเราะห์ศักราชเป็นปีพุทธศักราช จะต้องบวกด้วย 1122
# ไม่ได้รองรับปี พ.ศ. ก่อนการเปลี่ยนวันขึ้นปีใหม่ของประเทศไทย
import datetime
__all... | 35.067568 | 148 | 0.545665 |
62adb3f80e83b41f8a83fb2674e723e1cfee64dd | 3,483 | py | Python | archABM/engine.py | vishalbelsare/ArchABM | 4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873 | [
"MIT"
] | 8 | 2021-07-19T11:54:00.000Z | 2022-03-29T01:45:07.000Z | archABM/engine.py | vishalbelsare/ArchABM | 4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873 | [
"MIT"
] | null | null | null | archABM/engine.py | vishalbelsare/ArchABM | 4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873 | [
"MIT"
] | 1 | 2021-08-19T23:56:56.000Z | 2021-08-19T23:56:56.000Z | from jsonschema import validate
from simpy import Environment
from tqdm import tqdm
from .creator import Creator
from .database import Database
from .results import Results
import json
import os
import copy
class Engine:
"""Core class of the archABM package
Launches the agent-based simulation with the ... | 30.552632 | 97 | 0.596325 |
62adc2351bea4dd4e62ae50f5287688b4e58433e | 3,388 | py | Python | neuroscience/tensorflow/mask.py | tpawlowski/image_analytics | 60445177a45c81a2c9c389b2f85f0d49d561c211 | [
"MIT"
] | 3 | 2017-08-08T09:07:27.000Z | 2018-09-12T14:54:56.000Z | neuroscience/tensorflow/mask.py | tpawlowski/image_analytics | 60445177a45c81a2c9c389b2f85f0d49d561c211 | [
"MIT"
] | 1 | 2020-10-13T04:13:10.000Z | 2020-10-13T04:13:10.000Z | neuroscience/tensorflow/mask.py | tpawlowski/image_analytics | 60445177a45c81a2c9c389b2f85f0d49d561c211 | [
"MIT"
] | 2 | 2018-02-26T18:03:23.000Z | 2018-03-20T08:29:00.000Z | from skimage.filters import threshold_otsu as otsu
from dipy.segment.mask import multi_median
import numpy as np
import tensorflow as tf
def image_filtering_mean(arr, b0s):
# dm = tf.gather(tf.transpose(arr, perm=[3, 0, 1, 2]), tf.where(b0s))
indices = tf.to_int32(tf.where(b0s))
# Use tf.shape() to make ... | 32.576923 | 80 | 0.614227 |
62add1367a7488d394e413a2ba311b618c31c1ac | 1,596 | py | Python | algebra/quadratic.py | MehtapIsik/algebra | db6c0f58f21d3eb53cc755a47413b33431190c57 | [
"BSD-3-Clause"
] | null | null | null | algebra/quadratic.py | MehtapIsik/algebra | db6c0f58f21d3eb53cc755a47413b33431190c57 | [
"BSD-3-Clause"
] | null | null | null | algebra/quadratic.py | MehtapIsik/algebra | db6c0f58f21d3eb53cc755a47413b33431190c57 | [
"BSD-3-Clause"
] | null | null | null | def poly_old(*args):
"""
f(x) = a * x + b * x**2
*args = (x, a, b)
"""
# Unpack arguments
x = args[0]
a = args[1]
b = args[2]
print(args)
fx = a*x + b*(x**2)
return fx
def poly(*args):
"""
f(x) = a * x + b * x**2 + c * x**3 + ...
*args = (x, a, b, ...)... | 19.95 | 85 | 0.515038 |
62addcff3e0d28a04aa81be610c718aaf2b0ec83 | 1,899 | py | Python | StreamPy/tutorial_list_simple.py | AnomalyInc/StreamPy | 94abca276b2857de48259f4f42ef95efbdf5f6d1 | [
"Apache-2.0"
] | 2 | 2017-04-27T11:04:27.000Z | 2019-02-07T21:03:32.000Z | StreamPy/tutorial_list_simple.py | StreamPy/StreamPy | 94abca276b2857de48259f4f42ef95efbdf5f6d1 | [
"Apache-2.0"
] | null | null | null | StreamPy/tutorial_list_simple.py | StreamPy/StreamPy | 94abca276b2857de48259f4f42ef95efbdf5f6d1 | [
"Apache-2.0"
] | null | null | null | from Stream import Stream
from Operators import lf, stream_agent
from examples_element_wrapper import print_stream
import numpy as np
"""This example illustrates the use of the same NumPy
operations on single elements and on lists.
Observe that the elements of streams y and z are the
same for the first n (n=12) elemen... | 33.910714 | 63 | 0.754081 |
62ade0e22c33d6a4bf4c6aeb9f1839805cedc91e | 419 | py | Python | checkout/migrations/0009_auto_20200925_2008.py | jansgreen/django-locallibrary-tutorial | 9e3f5b694de3676dba66fc4df05435af339a44ab | [
"CC0-1.0"
] | null | null | null | checkout/migrations/0009_auto_20200925_2008.py | jansgreen/django-locallibrary-tutorial | 9e3f5b694de3676dba66fc4df05435af339a44ab | [
"CC0-1.0"
] | null | null | null | checkout/migrations/0009_auto_20200925_2008.py | jansgreen/django-locallibrary-tutorial | 9e3f5b694de3676dba66fc4df05435af339a44ab | [
"CC0-1.0"
] | null | null | null | # Generated by Django 3.0.7 on 2020-09-26 00:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('checkout', '0008_auto_20200925_2000'),
]
operations = [
migrations.AlterField(
model_name='order',
name='order_numbe... | 22.052632 | 77 | 0.615752 |
62adf0b0cc75a99ce63169d27e9d410c933859c4 | 2,383 | py | Python | src/command_modules/azure-cli-cognitiveservices/azure/cli/command_modules/cognitiveservices/custom.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-cognitiveservices/azure/cli/command_modules/cognitiveservices/custom.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 3 | 2021-03-26T00:48:20.000Z | 2022-03-29T22:05:39.000Z | src/command_modules/azure-cli-cognitiveservices/azure/cli/command_modules/cognitiveservices/custom.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 1 | 2017-12-28T04:51:44.000Z | 2017-12-28T04:51:44.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 45.826923 | 98 | 0.668065 |
62ae160eb4559d0e3c2bf65f68f64c8b42979a20 | 1,167 | py | Python | satella/coding/transforms/jsonify.py | piotrmaslanka/satella | bf4ba7a21ad2ac93a366442a2b4574dc5568b87e | [
"MIT"
] | 12 | 2019-12-13T10:17:38.000Z | 2022-01-05T09:01:36.000Z | satella/coding/transforms/jsonify.py | piotrmaslanka/satella | bf4ba7a21ad2ac93a366442a2b4574dc5568b87e | [
"MIT"
] | 26 | 2016-04-01T11:55:26.000Z | 2021-12-30T17:03:59.000Z | satella/coding/transforms/jsonify.py | piotrmaslanka/satella | bf4ba7a21ad2ac93a366442a2b4574dc5568b87e | [
"MIT"
] | 1 | 2021-05-31T08:45:22.000Z | 2021-05-31T08:45:22.000Z | import typing as tp
from satella.json import JSONAble
import enum
def jsonify(data: tp.Any) -> tp.Optional[tp.Union[str, int, float, list, dict]]:
"""
Convert any data to a value that's serializable via JSON.
Objects that are JSONAble will have their to_json() method called.
Note that enums will be... | 27.785714 | 80 | 0.613539 |
62ae1e910689c3e6fa5bb99c3976568c970a47a1 | 1,474 | py | Python | examples/plots/plot_hexbin.py | abhijith-git/mplsoccer | 7359ed83117cb6f191f82c44fe953eb421395695 | [
"MIT"
] | 1 | 2021-05-20T16:31:21.000Z | 2021-05-20T16:31:21.000Z | examples/plots/plot_hexbin.py | eddwebster/mplsoccer | eb260bc9ab8a94473b4082d922ed490ce11e7982 | [
"MIT"
] | null | null | null | examples/plots/plot_hexbin.py | eddwebster/mplsoccer | eb260bc9ab8a94473b4082d922ed490ce11e7982 | [
"MIT"
] | null | null | null | """
===========
Hexbin plot
===========
This example shows how to plot the location of events occurring in a match
using hexbins.
"""
from mplsoccer.pitch import Pitch
from mplsoccer.statsbomb import read_event, EVENT_SLUG
import os
##############################################################################
# lo... | 46.0625 | 113 | 0.643148 |
62ae3ed5127307fb9bd5314c1356cad72f444cb1 | 4,190 | py | Python | gaphor/misc/generic/multidispatch.py | MarianelaSena/gaphor | f1ccc2e2ae98d7fad54f6dd9271e8e10fbb2e324 | [
"Apache-2.0"
] | null | null | null | gaphor/misc/generic/multidispatch.py | MarianelaSena/gaphor | f1ccc2e2ae98d7fad54f6dd9271e8e10fbb2e324 | [
"Apache-2.0"
] | null | null | null | gaphor/misc/generic/multidispatch.py | MarianelaSena/gaphor | f1ccc2e2ae98d7fad54f6dd9271e8e10fbb2e324 | [
"Apache-2.0"
] | null | null | null | """ Multidispatch for functions and methods.
This code is a Python 3, slimmed down version of the
generic package by Andrey Popp.
Only the generic function code is left in tact -- no generic methods.
The interface has been made in line with `functools.singledispatch`.
Note that this module does not support annotated... | 34.628099 | 103 | 0.654177 |
62ae45b66882471452876b7d8820b4b64c5528e2 | 43,159 | py | Python | candlepb/Uno/uno_data.py | deephyper/candlepb | e99cf34c74bbcf85721a3091b587bf16ab4b667a | [
"BSD-2-Clause"
] | 1 | 2021-01-21T04:25:50.000Z | 2021-01-21T04:25:50.000Z | candlepb/Uno/uno_data.py | deephyper/candlepb | e99cf34c74bbcf85721a3091b587bf16ab4b667a | [
"BSD-2-Clause"
] | null | null | null | candlepb/Uno/uno_data.py | deephyper/candlepb | e99cf34c74bbcf85721a3091b587bf16ab4b667a | [
"BSD-2-Clause"
] | 1 | 2021-02-01T01:37:30.000Z | 2021-02-01T01:37:30.000Z | from __future__ import print_function
import collections
import json
import logging
import os
import pickle
import sys
import numpy as np
import pandas as pd
from itertools import cycle, islice
from sklearn.preprocessing import Imputer
from sklearn.preprocessing import StandardScaler, MinMaxScaler, MaxAbsScaler
fro... | 40.716038 | 273 | 0.614634 |
62ae6a6e8b0baf53618873aae850e29c7264d552 | 286 | py | Python | src/ggrc_risks/views/__init__.py | Killswitchz/ggrc-core | 2460df94daf66727af248ad821462692917c97a9 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-01-03T02:49:23.000Z | 2018-01-03T02:49:23.000Z | src/ggrc_risks/views/__init__.py | trevordonnelly/ggrc-core | 499cf0d3cce70737b080991b12c203ec22015cea | [
"ECL-2.0",
"Apache-2.0"
] | 10 | 2018-07-06T00:04:23.000Z | 2021-02-26T21:13:20.000Z | src/ggrc_risks/views/__init__.py | zidarsk8/ggrc-core | 2509c989eddf434249d3bef50c21e08dbf56c1a4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2017-11-11T22:16:56.000Z | 2017-11-11T22:16:56.000Z | # Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
from ggrc.app import app
from ggrc.login import login_required
from ggrc_risks.views import converters
from flask import render_template
def init_extra_views(app):
pass
| 23.833333 | 78 | 0.793706 |
62ae7684ce422751a483279a1641e3aea4e849a1 | 3,242 | py | Python | openonload-201606-u1.3/src/tools/solar_clusterd/daemonize.py | LeoBrilliant/OpenOnload | ce58f2afad8e2952d46e55326a8ec6a38c1269b9 | [
"MIT"
] | 2 | 2020-10-09T21:12:21.000Z | 2022-03-26T07:26:18.000Z | src/tools/solar_clusterd/daemonize.py | rigtorp/openonload | 924ee26ca9804a682c4a3bf081663008ba13ebf1 | [
"BSD-3-Clause"
] | null | null | null | src/tools/solar_clusterd/daemonize.py | rigtorp/openonload | 924ee26ca9804a682c4a3bf081663008ba13ebf1 | [
"BSD-3-Clause"
] | null | null | null | #****************************************************************************
# Copyright (c) 2013, Solarflare Communications Inc,
#
# Maintained by Solarflare Communications
# <onload-dev@solarflare.com>
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General P... | 32.42 | 77 | 0.586366 |
62ae7e12b41eceecc368ec0a3810dca257578d2f | 40,952 | py | Python | sdk/formrecognizer/azure-ai-formrecognizer/tests/testcase.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-01-24T08:54:57.000Z | 2022-01-24T08:54:57.000Z | sdk/formrecognizer/azure-ai-formrecognizer/tests/testcase.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/formrecognizer/azure-ai-formrecognizer/tests/testcase.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null |
# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------... | 56.79889 | 157 | 0.675938 |
62aea80a9894eecee426db6654e4f1658af0a9ab | 7,351 | py | Python | cogs/alias.py | MagnificPhil/MagnificBot | d9a834ea6047cd16b81fbfe6e9de20effdfaf5b1 | [
"MIT"
] | null | null | null | cogs/alias.py | MagnificPhil/MagnificBot | d9a834ea6047cd16b81fbfe6e9de20effdfaf5b1 | [
"MIT"
] | null | null | null | cogs/alias.py | MagnificPhil/MagnificBot | d9a834ea6047cd16b81fbfe6e9de20effdfaf5b1 | [
"MIT"
] | null | null | null | from discord.ext import commands
from .utils.chat_formatting import box
from .utils.dataIO import dataIO
from .utils import checks
from __main__ import user_allowed, send_cmd_help
from copy import copy
import os
import discord
class Alias:
def __init__(self, bot):
self.bot = bot
self.file_path = "... | 38.286458 | 79 | 0.5772 |
62aee729409e251bb65b11d34fb9bf60cea3d78f | 248 | py | Python | test/bottleneck1.py | sergey-serebryakov/mpipe | 5a1804cf64271931f0cd3e4fff3e2b38291212dd | [
"MIT"
] | null | null | null | test/bottleneck1.py | sergey-serebryakov/mpipe | 5a1804cf64271931f0cd3e4fff3e2b38291212dd | [
"MIT"
] | null | null | null | test/bottleneck1.py | sergey-serebryakov/mpipe | 5a1804cf64271931f0cd3e4fff3e2b38291212dd | [
"MIT"
] | null | null | null | import time
from mpipe import OrderedStage, Pipeline
def echo(value):
print(value)
time.sleep(0.013)
return value
pipe = Pipeline(OrderedStage(echo))
for number in range(12):
pipe.put(number)
time.sleep(0.010)
pipe.put(None)
| 16.533333 | 40 | 0.701613 |
62aee8dc0270da86e81dab184feb1e85fb2ed390 | 1,339 | py | Python | src/metaworlds/spaces/discrete.py | rlworkgroup/metaworlds | be03cfed9890a37b84283c597209b849e8a086cc | [
"MIT"
] | 5 | 2019-02-27T20:55:30.000Z | 2019-08-24T19:24:41.000Z | src/metaworlds/spaces/discrete.py | rlworkgroup/metaworlds | be03cfed9890a37b84283c597209b849e8a086cc | [
"MIT"
] | 8 | 2019-02-28T04:07:10.000Z | 2020-01-02T10:54:10.000Z | src/metaworlds/spaces/discrete.py | rlworkgroup/metaworlds | be03cfed9890a37b84283c597209b849e8a086cc | [
"MIT"
] | 1 | 2021-09-13T18:35:34.000Z | 2021-09-13T18:35:34.000Z | import numpy as np
from metaworlds.misc import special
from metaworlds.spaces import Space
class Discrete(Space):
"""
{0,1,...,n-1}
"""
def __init__(self, n):
self._n = n
@property
def n(self):
return self._n
def sample(self):
return np.random.randint(self.n)
... | 21.596774 | 78 | 0.600448 |
62aeef4e91bf43eaf7329436a987c78b490c8d9a | 2,942 | py | Python | src/privacyraven/models/four_layer.py | trailofbits/PrivacyRaven | 69007de73fa828ebc53ba3ce70402f2e4e494cf1 | [
"Apache-2.0"
] | 121 | 2020-09-01T21:55:22.000Z | 2022-03-28T11:38:43.000Z | src/privacyraven/models/four_layer.py | beholdenkey/PrivacyRaven | 69007de73fa828ebc53ba3ce70402f2e4e494cf1 | [
"Apache-2.0"
] | 49 | 2020-09-08T19:02:16.000Z | 2022-02-11T20:52:40.000Z | src/privacyraven/models/four_layer.py | beholdenkey/PrivacyRaven | 69007de73fa828ebc53ba3ce70402f2e4e494cf1 | [
"Apache-2.0"
] | 16 | 2020-09-09T00:45:30.000Z | 2022-02-25T01:53:53.000Z | import pytorch_lightning as pl
import torch
from torch import nn
from torch.nn import functional as F
import torchmetrics
class FourLayerClassifier(pl.LightningModule):
"""This module describes a neural network with four fully connected layers
containing 420 hidden units and a dropout layer (of 0.4). Cross ent... | 36.320988 | 83 | 0.625765 |
62aeef6cd31fc51d162fafee59e7705e7535b0f6 | 16,837 | py | Python | qfit_ligand/samplers.py | stephaniewanko/qfit_ligand | 1429fff9c1b9d7bf7376ce2414b63ddb0345dd3e | [
"Artistic-2.0",
"MIT"
] | 5 | 2018-05-30T00:29:06.000Z | 2021-09-23T01:28:28.000Z | qfit_ligand/samplers.py | stephaniewanko/qfit_ligand | 1429fff9c1b9d7bf7376ce2414b63ddb0345dd3e | [
"Artistic-2.0",
"MIT"
] | 1 | 2018-01-27T06:34:06.000Z | 2018-01-27T06:34:06.000Z | qfit_ligand/samplers.py | stephaniewanko/qfit_ligand | 1429fff9c1b9d7bf7376ce2414b63ddb0345dd3e | [
"Artistic-2.0",
"MIT"
] | 3 | 2019-06-20T04:01:11.000Z | 2019-12-03T00:10:39.000Z | from __future__ import division
import os.path
from collections import defaultdict
import itertools
import numpy as np
class BackboneRotator(object):
"""Rotate around phi, psi angles."""
def __init__(self, structure):
bb_coor = structure.select('name', ('N', 'C', 'CA'))
self._ndofs = 2 * b... | 35.823404 | 100 | 0.587397 |
62af3bbf329b36df9db09cc295dbb011e65c1b8b | 2,645 | py | Python | tests/python/tensorrt/test_tensorrt_batchnorm.py | ckt624/incubator-mxnet | bcbdc1cc797064fafc0a46a3dd00d446a7c60357 | [
"Apache-2.0"
] | 228 | 2018-12-06T09:34:01.000Z | 2022-03-08T17:02:02.000Z | tests/python/tensorrt/test_tensorrt_batchnorm.py | chongruo/incubator-mxnet | 7f57e8e10c504fe7a463ba695321b11c6dd4912d | [
"Apache-2.0"
] | 16 | 2018-12-07T13:53:45.000Z | 2021-12-14T21:22:58.000Z | tests/python/tensorrt/test_tensorrt_batchnorm.py | ElaineBao/incubator-mxnet | bcb09fcda8e119dd5524bb4a99fc20248a8fbb24 | [
"Apache-2.0"
] | 34 | 2018-12-14T02:59:53.000Z | 2022-01-22T14:15:19.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 40.075758 | 99 | 0.713422 |
62af770ee207feb61f1c09ee812e8f76376a3784 | 870 | py | Python | backend/entries/routers.py | dwightgunning/daily-writing | 1e39ba5172d6f6a98a4af9553dc8b26c980e4fcc | [
"MIT"
] | 1 | 2019-05-01T12:09:47.000Z | 2019-05-01T12:09:47.000Z | backend/entries/routers.py | dwightgunning/daily-writing | 1e39ba5172d6f6a98a4af9553dc8b26c980e4fcc | [
"MIT"
] | 34 | 2020-02-12T00:21:07.000Z | 2022-03-02T13:43:11.000Z | backend/entries/routers.py | dwightgunning/daily-writing | 1e39ba5172d6f6a98a4af9553dc8b26c980e4fcc | [
"MIT"
] | null | null | null | from rest_framework.routers import Route, SimpleRouter
class EntriesRouter(SimpleRouter):
"""
A router for entries
"""
routes = [
Route(
detail=False,
initkwargs={"suffix": "Create"},
mapping={"post": "create"},
name="{basename}-create",
... | 27.1875 | 84 | 0.456322 |
62af97c4a7e827b96e4c06c1bd0c4a0c4aa28e4a | 6,969 | py | Python | tests/data/test_detection_utils.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | tests/data/test_detection_utils.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | tests/data/test_detection_utils.py | TalhaUsuf/RetinaNet_W9_form | 2a66bba1de96bebd679775b841d95ac7dcfcbbbe | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import os
import unittest
import pycocotools.mask as mask_util
from detectron.data import MetadataCatalog, detection_utils
from detectron.data import transforms as T
from detectron.structures import BitMasks, BoxMode
from detectron.util... | 39.372881 | 94 | 0.602956 |
62afe0dc860fe0448702463e5c93536b267c32c2 | 13,681 | py | Python | predict.py | shishir-roy/decaNLP-with-BERT | 510ae98b9650f45ba94d730c5d8a364f7080f125 | [
"BSD-3-Clause"
] | null | null | null | predict.py | shishir-roy/decaNLP-with-BERT | 510ae98b9650f45ba94d730c5d8a364f7080f125 | [
"BSD-3-Clause"
] | null | null | null | predict.py | shishir-roy/decaNLP-with-BERT | 510ae98b9650f45ba94d730c5d8a364f7080f125 | [
"BSD-3-Clause"
] | null | null | null | Hello git testing shishir roy
#!/usr/bin/env python3
import os
from text.torchtext.datasets.generic import Query
from text import torchtext
from argparse import ArgumentParser
import ujson as json
import torch
import numpy as np
import random
from pprint import pformat
from util import get_splits, set_seed, preprocess... | 43.709265 | 167 | 0.571596 |
62affc798d8bd5a9e8cdbeedce069dd490e2eb4d | 72,406 | py | Python | openpnm/core/Base.py | Eravalord/OpenPNM | 505bc37318a3ba40d8343f89cd347d0073dd9d14 | [
"MIT"
] | null | null | null | openpnm/core/Base.py | Eravalord/OpenPNM | 505bc37318a3ba40d8343f89cd347d0073dd9d14 | [
"MIT"
] | null | null | null | openpnm/core/Base.py | Eravalord/OpenPNM | 505bc37318a3ba40d8343f89cd347d0073dd9d14 | [
"MIT"
] | null | null | null | import warnings
import uuid
import numpy as np
from collections import namedtuple
from openpnm.models.misc import from_neighbor_throats, from_neighbor_pores
from openpnm.utils import Workspace, logging
from openpnm.utils.misc import PrintableList, SettingsDict, Docorator
docstr = Docorator()
logger = logging.getLogger(... | 38.554846 | 85 | 0.531033 |
62b0160f93585288c5ca81f0d49b580dbfd6f6c6 | 1,167 | py | Python | run.py | xyx0826/bngposts | bc4b4755692dad2e550df6b3c9fad9de10e31fa9 | [
"MIT"
] | 1 | 2021-07-30T04:49:03.000Z | 2021-07-30T04:49:03.000Z | run.py | xyx0826/bngposts | bc4b4755692dad2e550df6b3c9fad9de10e31fa9 | [
"MIT"
] | null | null | null | run.py | xyx0826/bngposts | bc4b4755692dad2e550df6b3c9fad9de10e31fa9 | [
"MIT"
] | null | null | null | import os
import json
from api import Api
from database import Database
def main():
# Check config file
if not os.path.isfile("config.json"):
print(
"Error: could not find config.json."
"Make sure you have written your API key and email into "
"config.json.sample a... | 25.369565 | 75 | 0.599829 |
62b02c53a691a6f992eed5785ba8fa924ce206e9 | 2,680 | py | Python | cfnbootstrap/user_group_tools.py | roberthutto/aws-cfn-bootstrap | 801a16802a931fa4dae0eba4898fe1ccdb304924 | [
"Apache-2.0"
] | null | null | null | cfnbootstrap/user_group_tools.py | roberthutto/aws-cfn-bootstrap | 801a16802a931fa4dae0eba4898fe1ccdb304924 | [
"Apache-2.0"
] | null | null | null | cfnbootstrap/user_group_tools.py | roberthutto/aws-cfn-bootstrap | 801a16802a931fa4dae0eba4898fe1ccdb304924 | [
"Apache-2.0"
] | 3 | 2017-02-10T13:14:38.000Z | 2018-09-20T01:04:20.000Z | #==============================================================================
# Copyright 2011 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 ... | 30.804598 | 120 | 0.586194 |
62b0aece23ce4020e5d54ce8213e9d30bc5a4d2e | 4,037 | py | Python | app/migrations/versions/1f326b63fbdd_.py | dbaelipro/coordination-dispo-lits | d252df23f570f6a83a5c6af36056ed5f2cf02fe0 | [
"MIT"
] | 2 | 2020-05-10T16:06:17.000Z | 2020-05-10T16:10:03.000Z | app/migrations/versions/1f326b63fbdd_.py | dbaelipro/coordination-dispo-lits | d252df23f570f6a83a5c6af36056ed5f2cf02fe0 | [
"MIT"
] | 8 | 2020-04-07T16:36:51.000Z | 2020-04-26T10:34:26.000Z | app/migrations/versions/1f326b63fbdd_.py | dbaelipro/coordination-dispo-lits | d252df23f570f6a83a5c6af36056ed5f2cf02fe0 | [
"MIT"
] | 4 | 2020-04-18T22:53:33.000Z | 2021-06-04T09:31:13.000Z | """empty message
Revision ID: 1f326b63fbdd
Revises: 2d57e166d00f
Create Date: 2020-04-15 14:47:20.445006
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '1f326b63fbdd'
down_revision = '2d57e166d00f'
branch_labels = None... | 40.777778 | 65 | 0.584097 |
62b0b5f496b40cf204bc0909f44dcd7d5843ee62 | 1,282 | py | Python | tools/dockerize/webportal/usr/lib/python2.7/site-packages/oslo_utils/uuidutils.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | tools/dockerize/webportal/usr/lib/python2.7/site-packages/oslo_utils/uuidutils.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | tools/dockerize/webportal/usr/lib/python2.7/site-packages/oslo_utils/uuidutils.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2012 Intel Corporation.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 27.869565 | 79 | 0.639626 |
62b0c55a01828adb8ecff345e701a1575e8cd8c1 | 3,203 | py | Python | scanapi/variable_parser.py | barbosa/scanapi | 82def9d7c9ef19a2b658d9aa6c973790e2c16ddc | [
"MIT"
] | null | null | null | scanapi/variable_parser.py | barbosa/scanapi | 82def9d7c9ef19a2b658d9aa6c973790e2c16ddc | [
"MIT"
] | null | null | null | scanapi/variable_parser.py | barbosa/scanapi | 82def9d7c9ef19a2b658d9aa6c973790e2c16ddc | [
"MIT"
] | null | null | null | from enum import Enum
import logging
import os
import re
import sys
import yaml
from scanapi.errors import BadConfigurationError, InvalidPythonCodeError
# Available imports to be used dinamically in the api spec
import datetime
import math
import random
import time
import uuid
logger = logging.getLogger(__name__)
va... | 23.043165 | 82 | 0.664689 |
62b0e12bd5830174027a6ddaa68293db3c1aba17 | 5,175 | py | Python | jenkinsapi_tests/unittests/test_plugins.py | ifwe/jenkinsapi | 31a7fbb07efcd48e226f7dcf643fd2a2625416c0 | [
"MIT"
] | 1 | 2015-01-12T14:15:59.000Z | 2015-01-12T14:15:59.000Z | jenkinsapi_tests/unittests/test_plugins.py | moustuk/jenkinsapi-1 | d18c1e669965c209093763f3295f79c9d3ccdeea | [
"MIT"
] | null | null | null | jenkinsapi_tests/unittests/test_plugins.py | moustuk/jenkinsapi-1 | d18c1e669965c209093763f3295f79c9d3ccdeea | [
"MIT"
] | null | null | null | import mock
import unittest
from jenkinsapi.jenkins import Jenkins
from jenkinsapi.plugins import Plugins
from jenkinsapi.plugin import Plugin
class TestPlugins(unittest.TestCase):
DATA = {
'plugins': [
{
'deleted': False,
'hasUpdate': True,
'do... | 32.753165 | 89 | 0.533913 |
62b141645c771d3ad048471fa5654a50cef07ceb | 22,134 | py | Python | distributed/tests/test_core.py | willirath/distributed | 67fe8208a0a6edc18e02a4c5080d81fb11eab338 | [
"BSD-3-Clause"
] | null | null | null | distributed/tests/test_core.py | willirath/distributed | 67fe8208a0a6edc18e02a4c5080d81fb11eab338 | [
"BSD-3-Clause"
] | null | null | null | distributed/tests/test_core.py | willirath/distributed | 67fe8208a0a6edc18e02a4c5080d81fb11eab338 | [
"BSD-3-Clause"
] | null | null | null | import asyncio
import os
import socket
import sys
import threading
import weakref
import pytest
import dask
from distributed.core import (
pingpong,
Server,
rpc,
connect,
send_recv,
coerce_to_address,
ConnectionPool,
)
from distributed.protocol.compression import compressions
from distrib... | 28.232143 | 88 | 0.640192 |
62b192abf4389b666d506b2049d1ea92e3aa471c | 60 | py | Python | irida_uploader_cl/parsers/nextseq/__init__.py | duanjunhyq/irida_uploader_cl | d0e5d404c5b5b10c3411ded71a20f5ab062aabba | [
"MIT"
] | null | null | null | irida_uploader_cl/parsers/nextseq/__init__.py | duanjunhyq/irida_uploader_cl | d0e5d404c5b5b10c3411ded71a20f5ab062aabba | [
"MIT"
] | null | null | null | irida_uploader_cl/parsers/nextseq/__init__.py | duanjunhyq/irida_uploader_cl | d0e5d404c5b5b10c3411ded71a20f5ab062aabba | [
"MIT"
] | null | null | null | from irida_uploader_cl.parsers.nextseq.parser import Parser
| 30 | 59 | 0.883333 |
62b1bfda28547ce95ee5c3abd8fffda38d63d0bc | 2,467 | py | Python | oeml-sdk/python/test/test_order_new_single_request.py | oskaralfons/coinapi-sdk | 2c79b6d91d0f702040dd865e79f0774a4bba9bb3 | [
"MIT"
] | 1 | 2020-07-23T05:47:52.000Z | 2020-07-23T05:47:52.000Z | oeml-sdk/python/test/test_order_new_single_request.py | oskaralfons/coinapi-sdk | 2c79b6d91d0f702040dd865e79f0774a4bba9bb3 | [
"MIT"
] | null | null | null | oeml-sdk/python/test/test_order_new_single_request.py | oskaralfons/coinapi-sdk | 2c79b6d91d0f702040dd865e79f0774a4bba9bb3 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
OEML - REST API
This section will provide necessary information about the `CoinAPI OEML REST API` protocol. This API is also available in the Postman application: <a href=\"https://postman.coinapi.io/\" target=\"_blank\">https://postman.coinapi.io/</a> # noqa: E501
The version... | 34.746479 | 261 | 0.626267 |
62b1d1cf4e0d6a923e037c4c5e2687909d378920 | 7,670 | py | Python | lang/typescript/typescript.py | nriley/knausj_talon | fe7791fa868be5eb0f6471fc0b0f1f10f25a369b | [
"MIT"
] | 2 | 2021-04-08T04:37:03.000Z | 2022-03-16T20:40:52.000Z | lang/typescript/typescript.py | nriley/knausj_talon | fe7791fa868be5eb0f6471fc0b0f1f10f25a369b | [
"MIT"
] | null | null | null | lang/typescript/typescript.py | nriley/knausj_talon | fe7791fa868be5eb0f6471fc0b0f1f10f25a369b | [
"MIT"
] | 1 | 2020-12-04T21:05:12.000Z | 2020-12-04T21:05:12.000Z | from talon import Module, Context, actions, ui, imgui, settings
ctx = Context()
ctx.matches = r"""
mode: user.typescript
mode: user.auto_lang
and code.language: typescript
"""
# tbd
# ctx.lists["user.code_functions"] = {
# "integer": "int.TryParse",
# "print": "Console.WriteLine",
# "string": ".ToString",... | 25.481728 | 78 | 0.608475 |
62b2012237dc1fce742c8a3218c68cea983ba0c9 | 32,951 | py | Python | api/src/opentrons/protocol_api/protocol_context.py | Opentrons/opentrons | 23cb4bb9e1d1f9bd73a63f5837e947c337cdb9dc | [
"Apache-2.0"
] | 235 | 2017-10-27T20:37:27.000Z | 2022-03-30T14:09:49.000Z | api/src/opentrons/protocol_api/protocol_context.py | koji/opentrons | 0f339f45de238183b2c433e67f839363d5177582 | [
"Apache-2.0"
] | 8,425 | 2017-10-26T15:25:43.000Z | 2022-03-31T23:54:26.000Z | api/src/opentrons/protocol_api/protocol_context.py | koji/opentrons | 0f339f45de238183b2c433e67f839363d5177582 | [
"Apache-2.0"
] | 130 | 2017-11-09T21:02:37.000Z | 2022-03-15T18:01:24.000Z | from __future__ import annotations
import asyncio
import contextlib
from dataclasses import dataclass
import logging
from typing import (
Callable,
Dict,
Iterator,
List,
Optional,
Tuple,
Union,
TYPE_CHECKING,
cast,
)
from collections import OrderedDict
from opentrons import types
fr... | 39.321002 | 88 | 0.629116 |
62b2144a59b7bb898544ede5a11917267cd2de93 | 16,863 | py | Python | digideep/params/atari_ppo.py | sharif1093/digideep | e42f10a58cec6cab70ac2be5ce3af6102caefd81 | [
"BSD-2-Clause"
] | 11 | 2019-03-09T23:54:02.000Z | 2020-09-05T20:47:55.000Z | log_sessions/cartpole_8_5_05_1/modules/digideep/params/atari_ppo.py | godnpeter/DMC_Clustering_PICA | 1b3e14dd4034f3941af1caa06c1d4b6f9d606408 | [
"BSD-2-Clause"
] | 1 | 2021-09-30T01:15:57.000Z | 2021-09-30T01:15:57.000Z | digideep/params/atari_ppo.py | sharif1093/digideep | e42f10a58cec6cab70ac2be5ce3af6102caefd81 | [
"BSD-2-Clause"
] | null | null | null | """
See Also:
:ref:`ref-parameter-files`
"""
import numpy as np
from copy import deepcopy
from digideep.environment import MakeEnvironment
from collections import OrderedDict
################################################################################
######### CONTROL PANEL ... | 53.028302 | 159 | 0.564016 |
62b22d7de0e67637d0b68582a4afb8e51a5dd789 | 2,095 | py | Python | src/lib/Bcfg2/Encryption.py | amplify-education/bcfg2 | 02d7f574babfeb2da99e2aad3a92b4e8d6494f07 | [
"mpich2"
] | null | null | null | src/lib/Bcfg2/Encryption.py | amplify-education/bcfg2 | 02d7f574babfeb2da99e2aad3a92b4e8d6494f07 | [
"mpich2"
] | null | null | null | src/lib/Bcfg2/Encryption.py | amplify-education/bcfg2 | 02d7f574babfeb2da99e2aad3a92b4e8d6494f07 | [
"mpich2"
] | null | null | null | #!/usr/bin/python -Ott
import os
import base64
from M2Crypto import Rand
from M2Crypto.EVP import Cipher, EVPError
from Bcfg2.Bcfg2Py3k import StringIO
try:
from hashlib import md5
except ImportError:
from md5 import md5
ENCRYPT = 1
DECRYPT = 0
ALGORITHM = "aes_256_cbc"
IV = '\0' * 16
Rand.rand_seed(os.uran... | 27.565789 | 73 | 0.642482 |
62b265ab4d62756e5b1f61189a1255e6bee3f9c4 | 5,975 | py | Python | lab2/text_recognizer/models/cnn.py | wook3024/fsdl-text-recognizer-2021-labs | 06ccc875eaa22971a9c3e78785566739ec75702a | [
"MIT"
] | null | null | null | lab2/text_recognizer/models/cnn.py | wook3024/fsdl-text-recognizer-2021-labs | 06ccc875eaa22971a9c3e78785566739ec75702a | [
"MIT"
] | null | null | null | lab2/text_recognizer/models/cnn.py | wook3024/fsdl-text-recognizer-2021-labs | 06ccc875eaa22971a9c3e78785566739ec75702a | [
"MIT"
] | null | null | null | from typing import Any, Dict, List, Optional
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
CONV_DIM = 64
FC_DIM = 128
IMAGE_SIZE = 28
LAYERS = [2, 2, 2, 2]
GROUPS = 32
class ConvBlock(nn.Module):
"""
Simple 3x3 conv with padding size 1 (to leave the input size unchanged... | 30.329949 | 167 | 0.55046 |
62b2828cfb76c4efc8cf8dc1512603c7433b79b7 | 217,521 | py | Python | google/appengine/datastore/datastore_pb.py | luduvigo/app-blog-code | 2de41573955f8dfb5f6d964d3cae2bbee6db2f9a | [
"Apache-2.0"
] | null | null | null | google/appengine/datastore/datastore_pb.py | luduvigo/app-blog-code | 2de41573955f8dfb5f6d964d3cae2bbee6db2f9a | [
"Apache-2.0"
] | null | null | null | google/appengine/datastore/datastore_pb.py | luduvigo/app-blog-code | 2de41573955f8dfb5f6d964d3cae2bbee6db2f9a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# 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... | 30.576469 | 624 | 0.678505 |
62b29d88672aa4954e326cb3a6e9a0be0c45a84a | 8,441 | py | Python | docs/conf.py | audreyr/standardjson | 5b275bb8158703eb77114ce9b632716c4201b675 | [
"BSD-3-Clause"
] | 5 | 2015-02-05T03:08:38.000Z | 2017-03-06T11:38:52.000Z | docs/conf.py | audreyr/standardjson | 5b275bb8158703eb77114ce9b632716c4201b675 | [
"BSD-3-Clause"
] | 4 | 2015-03-19T08:21:01.000Z | 2019-05-15T19:54:20.000Z | docs/conf.py | audreyr/standardjson | 5b275bb8158703eb77114ce9b632716c4201b675 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# complexity documentation build configuration file, created by
# sphinx-quickstart on Tue Jul 9 22:26:36 2013.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# ... | 30.694545 | 76 | 0.716977 |
62b2aae97e3da9a9627e255cad76313883885be0 | 1,465 | py | Python | src/pipelines/epidemiology/mx_mexico_covid_19.py | harrisonzhu508/data | a3b95ced4abad6653d20f67f3f285abeeb0c2b25 | [
"Apache-2.0"
] | null | null | null | src/pipelines/epidemiology/mx_mexico_covid_19.py | harrisonzhu508/data | a3b95ced4abad6653d20f67f3f285abeeb0c2b25 | [
"Apache-2.0"
] | null | null | null | src/pipelines/epidemiology/mx_mexico_covid_19.py | harrisonzhu508/data | a3b95ced4abad6653d20f67f3f285abeeb0c2b25 | [
"Apache-2.0"
] | null | null | null | import datetime
from typing import Any, Dict, List
from numpy import unique
from pandas import DataFrame, concat, merge
from lib.pipeline import DefaultPipeline
from lib.time import datetime_isoformat
from lib.utils import grouped_diff, pivot_table
class MexicoCovid19Pipeline(DefaultPipeline):
data_urls: List[str... | 34.880952 | 102 | 0.677133 |
62b2c5e167447514e287f928bbc0b7df810f093b | 1,575 | py | Python | microfreshener/command_line.py | di-unipi-socc/micro-tosca | 5d5c9361b34eeabaed8955ddc62282607672bd81 | [
"MIT"
] | null | null | null | microfreshener/command_line.py | di-unipi-socc/micro-tosca | 5d5c9361b34eeabaed8955ddc62282607672bd81 | [
"MIT"
] | 3 | 2019-10-02T13:55:39.000Z | 2021-06-01T22:55:20.000Z | microfreshener/command_line.py | di-unipi-socc/microFreshener-core | 5d5c9361b34eeabaed8955ddc62282607672bd81 | [
"MIT"
] | null | null | null | import os
import click
import json
from microfreshener.core.importer import JSONImporter, YMLImporter
from microfreshener.core.exporter import JSONExporter, YMLExporter
from microfreshener.core.analyser import MicroToscaAnalyserBuilder
@click.group()
def cli():
"""
MicroFreshener permits to analyse microservi... | 27.155172 | 104 | 0.711111 |
62b2cef4253470b694498ba5e59016bbdda896db | 1,606 | py | Python | toontown/betaevent/CogTVScreen.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 1 | 2022-01-06T23:51:18.000Z | 2022-01-06T23:51:18.000Z | toontown/betaevent/CogTVScreen.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/betaevent/CogTVScreen.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | '''
Created on Apr 15, 2016
@author: Drew
'''
from direct.fsm.FSM import FSM
from panda3d.core import NodePath
from toontown.suit.BossCog import BossCog
from toontown.suit.SuitDNA import SuitDNA
class CogTVScreen(NodePath):
def __init__(self, name):
NodePath.__init__(self, name)
self.camPos = (0... | 26.327869 | 97 | 0.591532 |
62b2e970de5b6835b46515c77bc52793fcfbcaf1 | 524 | py | Python | w32/fight-the-monsters/solution.py | bitnot/hackerrank-solutions | cb54af3e80f9aa188a7aadf357c5d9bcc0715249 | [
"MIT"
] | null | null | null | w32/fight-the-monsters/solution.py | bitnot/hackerrank-solutions | cb54af3e80f9aa188a7aadf357c5d9bcc0715249 | [
"MIT"
] | null | null | null | w32/fight-the-monsters/solution.py | bitnot/hackerrank-solutions | cb54af3e80f9aa188a7aadf357c5d9bcc0715249 | [
"MIT"
] | null | null | null | #!/bin/python3
import sys
from math import ceil
def getMaxMonsters(n, hit, t, h):
hits_per_monster = [ceil(i/hit) for i in h] #O(n)
hits_sorted = sorted(hits_per_monster) #O(n*log(n))
m = 0
while t > 0 and m < n: #O(n)
if hits_sorted[m] <= t:
t -= hits_sorted[m]
m += 1
... | 23.818182 | 56 | 0.54771 |
62b2fb0a2123b3a998e1b8776b801b00abc04e3b | 1,927 | py | Python | pyanoled/visualizer/effects/Effect.py | ethanlu/pyanoled | 5eabefc791c70afecfd2f4e3b61c78d150c6f551 | [
"MIT"
] | null | null | null | pyanoled/visualizer/effects/Effect.py | ethanlu/pyanoled | 5eabefc791c70afecfd2f4e3b61c78d150c6f551 | [
"MIT"
] | null | null | null | pyanoled/visualizer/effects/Effect.py | ethanlu/pyanoled | 5eabefc791c70afecfd2f4e3b61c78d150c6f551 | [
"MIT"
] | null | null | null | from pyanoled.Configuration import Configuration
from abc import ABC, abstractmethod
from logging import Logger
from rpi_ws281x.rpi_ws281x import Color, PixelStrip
from typing import Tuple
class Effect(ABC):
"""
base abstract class defining the interface that all effect scheme subclasses needs to implement
... | 24.0875 | 115 | 0.582771 |
62b31081125abb2ef63b077042a09c57b7d1e1fb | 27,941 | py | Python | VMBackup/main/handle.py | axelgMS/azure-linux-extensions | 391ac51d3caa58421b2e9a6fa6f0a4baf5f514ca | [
"Apache-2.0"
] | null | null | null | VMBackup/main/handle.py | axelgMS/azure-linux-extensions | 391ac51d3caa58421b2e9a6fa6f0a4baf5f514ca | [
"Apache-2.0"
] | null | null | null | VMBackup/main/handle.py | axelgMS/azure-linux-extensions | 391ac51d3caa58421b2e9a6fa6f0a4baf5f514ca | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# VM Backup extension
#
# Copyright 2014 Microsoft 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
#
# U... | 50.253597 | 206 | 0.668874 |
62b32804b0e3bab6b77973f69d399ea784e2d3f6 | 2,264 | py | Python | sdk/storage/azure-storage-blob-changefeed/tests/settings/testcase.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/storage/azure-storage-blob-changefeed/tests/settings/testcase.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/storage/azure-storage-blob-changefeed/tests/settings/testcase.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# ---------------------------------------------------------------------... | 37.114754 | 114 | 0.734541 |
62b3536d68da276e7db556849643396c8e9d3d34 | 80,503 | py | Python | lib/matplotlib/axis.py | yuvallanger/matplotlib | e0020d318a9a9685594c6bff4631f74599321459 | [
"MIT",
"BSD-3-Clause"
] | 8 | 2017-04-11T08:55:30.000Z | 2022-03-25T04:31:26.000Z | lib/matplotlib/axis.py | epgauss/matplotlib | c9898ea9a30c67c579ab27cd61b68e2abae0fb0e | [
"MIT",
"BSD-3-Clause"
] | null | null | null | lib/matplotlib/axis.py | epgauss/matplotlib | c9898ea9a30c67c579ab27cd61b68e2abae0fb0e | [
"MIT",
"BSD-3-Clause"
] | 14 | 2015-10-05T04:15:46.000Z | 2020-06-11T18:06:02.000Z | """
Classes for the ticks and x and y axis
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from matplotlib import rcParams
import matplotlib.artist as artist
from matplotlib.artist import allow_rasterization
import matplotlib.cbook as cbook
i... | 36.067652 | 80 | 0.574475 |
62b35495195e39b24aad132649c7cd1186869287 | 16,558 | py | Python | pytorch_forecasting/models/nbeats/__init__.py | smetam/pytorch-forecasting | 0a5e13fc9eefab00f43b002d08808b235582ed3d | [
"MIT"
] | null | null | null | pytorch_forecasting/models/nbeats/__init__.py | smetam/pytorch-forecasting | 0a5e13fc9eefab00f43b002d08808b235582ed3d | [
"MIT"
] | 2 | 2020-07-26T11:38:16.000Z | 2020-08-16T21:08:53.000Z | pytorch_forecasting/models/nbeats/__init__.py | smetam/pytorch-forecasting | 0a5e13fc9eefab00f43b002d08808b235582ed3d | [
"MIT"
] | null | null | null | """
N-Beats model for timeseries forecasting without covariates.
"""
from typing import Dict, List
import matplotlib.pyplot as plt
import torch
from torch import nn
from pytorch_forecasting.data import TimeSeriesDataSet
from pytorch_forecasting.data.encoders import NaNLabelEncoder
from pytorch_forecasting.metrics imp... | 46.774011 | 120 | 0.607622 |
62b38913f098989bc9b916d186bd9c16b363ec7f | 1,537 | py | Python | setup.py | Utagai/spice | a2604ad01c12138067eeb2036258437e0f8e4b82 | [
"MIT"
] | 41 | 2016-08-01T04:57:24.000Z | 2022-02-13T01:38:04.000Z | setup.py | Utagai/spice | a2604ad01c12138067eeb2036258437e0f8e4b82 | [
"MIT"
] | 32 | 2016-07-13T18:10:22.000Z | 2018-06-05T22:58:48.000Z | setup.py | Utagai/spice | a2604ad01c12138067eeb2036258437e0f8e4b82 | [
"MIT"
] | 14 | 2016-08-25T23:09:03.000Z | 2018-05-06T19:33:32.000Z | from distutils.core import setup
from setuptools import setup
setup(
name = 'spice_api',
packages = ['spice_api'], # this must be the same as the name above
version = '1.0.4',
description = 'spice is a pure Python API that wraps around MALs Official API and makes it much better.',
long_description ... | 37.487805 | 109 | 0.617437 |
62b3def0168b9b9e5728e875cacf4771f88c9e22 | 869 | py | Python | chatbot_agent/chatbot_agent/interface/session.py | hscspring/chatbot | 9d0bc91db0d8834a1a75cba3edcd3133191e80af | [
"Apache-2.0"
] | null | null | null | chatbot_agent/chatbot_agent/interface/session.py | hscspring/chatbot | 9d0bc91db0d8834a1a75cba3edcd3133191e80af | [
"Apache-2.0"
] | null | null | null | chatbot_agent/chatbot_agent/interface/session.py | hscspring/chatbot | 9d0bc91db0d8834a1a75cba3edcd3133191e80af | [
"Apache-2.0"
] | null | null | null | from abc import ABC, abstractmethod
class Session(ABC):
"""Base dialog session controller, which manages the agents to conduct a complete dialog session.
"""
@abstractmethod
def next_agent(self):
"""Decide the next agent to generate a response.
In this base class, this function retur... | 25.558824 | 101 | 0.609896 |
62b3fd3656773b76ca166b0f033b96bf31c1f9b3 | 7,112 | py | Python | rbac/common/protobuf/role_state_pb2.py | knagware9/sawtooth-next-directory | be80852e08d2b27e105d964c727509f2a974002d | [
"Apache-2.0"
] | 1 | 2019-04-14T20:16:59.000Z | 2019-04-14T20:16:59.000Z | rbac/common/protobuf/role_state_pb2.py | crazyrex/sawtooth-next-directory | 210b581c8c92c307fab2f6d2b9a55526b56b790a | [
"Apache-2.0"
] | null | null | null | rbac/common/protobuf/role_state_pb2.py | crazyrex/sawtooth-next-directory | 210b581c8c92c307fab2f6d2b9a55526b56b790a | [
"Apache-2.0"
] | 1 | 2018-12-07T10:55:08.000Z | 2018-12-07T10:55:08.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: role_state.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _re... | 33.866667 | 488 | 0.758577 |
62b4047c15b1f49c3409587c6ee35e5a734dbff6 | 19,402 | py | Python | thgsp/filters/qmf.py | bwdeng20/thgsp | 785b3ff291d72ee51e51e4cdbfd4bab63f8de9ac | [
"BSD-3-Clause"
] | 22 | 2021-01-13T05:15:38.000Z | 2022-01-17T01:37:29.000Z | thgsp/filters/qmf.py | bwdeng20/thgsp | 785b3ff291d72ee51e51e4cdbfd4bab63f8de9ac | [
"BSD-3-Clause"
] | 2 | 2021-03-26T04:36:39.000Z | 2022-01-11T16:17:56.000Z | thgsp/filters/qmf.py | bwdeng20/thgsp | 785b3ff291d72ee51e51e4cdbfd4bab63f8de9ac | [
"BSD-3-Clause"
] | 2 | 2021-01-13T05:15:43.000Z | 2022-01-01T12:51:32.000Z | from functools import partial
from typing import List
import numpy as np
import torch
from scipy.sparse import diags
from torch_sparse import SparseTensor
from thgsp.bga import beta2channel_mask, beta_dist2channel_name, is_bipartite_fix, laplace
from thgsp.bga import harary, osglm, amfs, admm_bga, admm_lbga_ray
from ... | 39.434959 | 120 | 0.589269 |
62b40bbae6cd65169e10373b4d84b13c6405ad20 | 5,459 | py | Python | sdk/core/azure-core/azure/core/configuration.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | null | null | null | sdk/core/azure-core/azure/core/configuration.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | null | null | null | sdk/core/azure-core/azure/core/configuration.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), ... | 45.87395 | 119 | 0.713501 |
62b417e89eb3f862cdf1c1de0dc7faee974d9632 | 1,080 | py | Python | deepdos/args/model.py | C3NZ/deepdos | 9438b760d940dfd9a3bf69a91a6d125e1c76f593 | [
"MIT"
] | 24 | 2019-10-18T23:10:12.000Z | 2021-06-21T02:25:31.000Z | deepdos/args/model.py | vmarcella/deepdos | 9438b760d940dfd9a3bf69a91a6d125e1c76f593 | [
"MIT"
] | 1 | 2019-11-04T20:23:40.000Z | 2019-11-04T20:23:40.000Z | deepdos/args/model.py | vmarcella/deepdos | 9438b760d940dfd9a3bf69a91a6d125e1c76f593 | [
"MIT"
] | 4 | 2019-10-03T18:39:23.000Z | 2021-03-01T11:37:34.000Z | """
The argument registery
"""
from deepdos.args.argument import Argument
from deepdos.conf import LATEST_STABLE_MODEL
class ModelTypeArg(Argument):
"""
Class for easily command line arguments and their handlers
"""
def register_argument(self, parser):
"""
Register the arg... | 26.341463 | 81 | 0.578704 |
62b427ba56295e3c7fb00b085da3f79dd1356ae5 | 7,040 | py | Python | clients/kratos/python/ory_kratos_client/model/graph_driver_data.py | kolotaev/sdk | 0dda1becd70be8d7b9d678321ebe780c1ba00485 | [
"Apache-2.0"
] | null | null | null | clients/kratos/python/ory_kratos_client/model/graph_driver_data.py | kolotaev/sdk | 0dda1becd70be8d7b9d678321ebe780c1ba00485 | [
"Apache-2.0"
] | null | null | null | clients/kratos/python/ory_kratos_client/model/graph_driver_data.py | kolotaev/sdk | 0dda1becd70be8d7b9d678321ebe780c1ba00485 | [
"Apache-2.0"
] | null | null | null | """
Ory Kratos API
Documentation for all public and administrative Ory Kratos APIs. Public and administrative APIs are exposed on different ports. Public APIs can face the public internet without any protection while administrative APIs should never be exposed without prior authorization. To protect the admini... | 40.228571 | 446 | 0.590625 |
62b45ede7d53c7ddc31ceaa1ebd29a2c786f2884 | 1,818 | py | Python | doctor_tests/identity_auth.py | opnfv/doctor | 72a1f8c92f1692f1ea8dcb5bc706ec9939c30e0a | [
"Apache-2.0"
] | 3 | 2017-04-05T19:09:36.000Z | 2019-02-28T05:27:21.000Z | doctor_tests/identity_auth.py | opnfv/doctor | 72a1f8c92f1692f1ea8dcb5bc706ec9939c30e0a | [
"Apache-2.0"
] | 2 | 2017-09-20T07:31:39.000Z | 2018-04-09T09:38:45.000Z | doctor_tests/identity_auth.py | opnfv/doctor | 72a1f8c92f1692f1ea8dcb5bc706ec9939c30e0a | [
"Apache-2.0"
] | 7 | 2017-05-24T02:21:08.000Z | 2019-12-09T16:54:02.000Z | ##############################################################################
# Copyright (c) 2017 NEC Corporation and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is avail... | 40.4 | 79 | 0.656766 |
62b4810cc67e19ff496163e07f8579e735bd609d | 283 | py | Python | terrascript/nomadutility/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/nomadutility/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/nomadutility/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/nomadutility/r.py
# Automatically generated by tools/makecode.py ()
import warnings
warnings.warn(
"using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2
)
import terrascript
class nomadutility_acl_bootstrap(terrascript.Resource):
pass
| 20.214286 | 79 | 0.787986 |
62b48b800426aac4c5949ba1e51a684fc174f60d | 25,263 | py | Python | test/functional/fundrawtransaction-hd.py | biblepay/biblepay | 6af4517c623620f60cabc228cc2f63c35d1beb5b | [
"MIT"
] | 63 | 2017-07-25T21:57:21.000Z | 2022-02-05T02:58:03.000Z | test/functional/fundrawtransaction-hd.py | biblepay/biblepay | 6af4517c623620f60cabc228cc2f63c35d1beb5b | [
"MIT"
] | 105 | 2017-09-04T00:52:17.000Z | 2021-05-22T13:58:37.000Z | test/functional/fundrawtransaction-hd.py | biblepay/biblepay | 6af4517c623620f60cabc228cc2f63c35d1beb5b | [
"MIT"
] | 62 | 2017-08-04T19:48:40.000Z | 2021-07-07T12:21:12.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2015 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
import sys
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util impor... | 40.550562 | 214 | 0.557891 |
62b494633db1a150cab7709e2fb3b51726977ec1 | 3,991 | py | Python | apps/view_spawn_points.py | cognitive-robots/road-recorder | 4a619996cf0c9fbcdd27ba324532049c00a8cf53 | [
"MIT"
] | null | null | null | apps/view_spawn_points.py | cognitive-robots/road-recorder | 4a619996cf0c9fbcdd27ba324532049c00a8cf53 | [
"MIT"
] | null | null | null | apps/view_spawn_points.py | cognitive-robots/road-recorder | 4a619996cf0c9fbcdd27ba324532049c00a8cf53 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2022 Oxford Robotics Institute (ORI), University of Oxford
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""
This program can help you to find suitable spawn points for your
scenarios. It provides a visualis... | 28.71223 | 91 | 0.622651 |
62b4d0ec61f32a8cf4e5ab15509bafee6d3a4637 | 1,718 | py | Python | python_legacy/collisions.py | garred/only_fighters | 55c3cc06884f3226d75a800e1ee79afd2c23aa8b | [
"CC-BY-3.0",
"CC0-1.0"
] | null | null | null | python_legacy/collisions.py | garred/only_fighters | 55c3cc06884f3226d75a800e1ee79afd2c23aa8b | [
"CC-BY-3.0",
"CC0-1.0"
] | null | null | null | python_legacy/collisions.py | garred/only_fighters | 55c3cc06884f3226d75a800e1ee79afd2c23aa8b | [
"CC-BY-3.0",
"CC0-1.0"
] | null | null | null |
def get_positions_in_grid(object, grid, map):
'''Returns the tiles ocupied by this object in the collision grid.'''
positions = list()
#grid_tile_width = (map.width * map.tilewidth) / len(grid)
#grid_tile_height = (map.height * map.tileheight) / len(grid)
#diffs = [(x * grid_tile_width, y * grid... | 31.814815 | 98 | 0.58149 |
62b4dae609e28d08dbe980cf739d2b24029fac34 | 6,132 | py | Python | RatingsAnalyzer.py | naveenpoluri/pythoncodingassesment | 253f77ee84d6fdfa418f93215e3144fa9d8760ca | [
"BSD-4-Clause-UC"
] | null | null | null | RatingsAnalyzer.py | naveenpoluri/pythoncodingassesment | 253f77ee84d6fdfa418f93215e3144fa9d8760ca | [
"BSD-4-Clause-UC"
] | null | null | null | RatingsAnalyzer.py | naveenpoluri/pythoncodingassesment | 253f77ee84d6fdfa418f93215e3144fa9d8760ca | [
"BSD-4-Clause-UC"
] | null | null | null | from util.Utilities import readFile, writeFile
from pyspark.sql import SparkSession
from pyspark.sql import functions as F
from pyspark.sql import types as T
from pyspark.sql.window import Window
import sys
outputPath = sys.argv[1]
spark = SparkSession.builder.master("local[*]").appName("RatingsAnalyzer").ge... | 51.1 | 160 | 0.698956 |
62b4e4e81aed2ea247681a1e690611ffc8ddb512 | 158 | py | Python | ludolph_ansible/__init__.py | erigones/ludolph-ansible | 014bbbdb6504f4cdcfaf08ea13145da4c864a354 | [
"MIT"
] | null | null | null | ludolph_ansible/__init__.py | erigones/ludolph-ansible | 014bbbdb6504f4cdcfaf08ea13145da4c864a354 | [
"MIT"
] | null | null | null | ludolph_ansible/__init__.py | erigones/ludolph-ansible | 014bbbdb6504f4cdcfaf08ea13145da4c864a354 | [
"MIT"
] | null | null | null | """
This file is part of Ludolph: Ansible plugin
Copyright (C) 2015 Erigones, s. r. o.
See the LICENSE file for copying permission.
"""
__version__ = '0.4'
| 17.555556 | 44 | 0.702532 |
62b507c3a6fd5435257121dd5a436d29996b5ed9 | 11,140 | py | Python | packages/hunspell/combine_dicts.py | medzuslovjansky/isv_hunspell_dict | 0677601a5758c02145f0ac84c3ab8316a970058d | [
"MIT"
] | 1 | 2022-01-07T15:04:54.000Z | 2022-01-07T15:04:54.000Z | packages/hunspell/combine_dicts.py | orlean-git/isv_hunspell | 0677601a5758c02145f0ac84c3ab8316a970058d | [
"MIT"
] | 10 | 2021-11-18T01:39:21.000Z | 2021-11-22T21:23:19.000Z | packages/hunspell/combine_dicts.py | medzuslovjansky/isv_hunspell_dict | 0677601a5758c02145f0ac84c3ab8316a970058d | [
"MIT"
] | 1 | 2021-11-21T14:05:14.000Z | 2021-11-21T14:05:14.000Z | from utilities import *
import pickle
import time
from pprint import pprint
start_time = time.time()
'''# OPTIONS (DEFAULT: LAT+CYR)
OUTPUT_DICTIONARY_NAME = 'output/dictionaries/KOMBO_DEFAULT'
AFFIX_FILE_HEADER_NAME = 'input/affixheaders/affix_file_header_latcyr.txt'
PICKLE_FOLDER = 'cache/pickling/'
# possible types... | 52.056075 | 180 | 0.614722 |
62b5212fef15f38748bfd1a1b3c40677daa0893c | 2,850 | py | Python | tql/utils/pandas_utils/0_DA/udfs/data_transform.py | Jie-Yuan/1_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 14 | 2019-06-25T13:46:32.000Z | 2020-10-27T02:04:59.000Z | tql/utils/pandas_utils/0_DA/udfs/data_transform.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | null | null | null | tql/utils/pandas_utils/0_DA/udfs/data_transform.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 7 | 2019-06-25T13:26:16.000Z | 2020-10-27T02:05:03.000Z | # coding: utf-8
__title__ = 'data_transform'
__author__ = 'JieYuan'
__mtime__ = '2018/2/13'
# 聚合函数
class Agg(object):
@staticmethod
def mode(x):
"""
因mode需至少重复2次才可用，故需判断异常
"""
try:
_mode = x.mode()[0]
except:
return x.values[0]
else:
... | 28.787879 | 109 | 0.583509 |
62b521b329bce191a9d46eb8029231e4d2764ffb | 206 | py | Python | mwe_discov_eval/measures/__init__.py | nicolaCirillo/mwe_discov_eval | 36f544a802f68d7e274627d57a65531ff23c4c5e | [
"MIT"
] | null | null | null | mwe_discov_eval/measures/__init__.py | nicolaCirillo/mwe_discov_eval | 36f544a802f68d7e274627d57a65531ff23c4c5e | [
"MIT"
] | null | null | null | mwe_discov_eval/measures/__init__.py | nicolaCirillo/mwe_discov_eval | 36f544a802f68d7e274627d57a65531ff23c4c5e | [
"MIT"
] | null | null | null | from .am_extended import AMExtendedCalc
from .fair_disp_point_norm import FairDispPointCalc
from .c_value import CValueCalc
from .syntactic_fixedness import SynEntCalc
from .compositionality import CompCalc | 41.2 | 51 | 0.883495 |
62b536fe425c61ab6ab1575569e70030ea0a193f | 1,089 | py | Python | firestore_orm/relationship.py | Silvrash/firestorm | f87ef82c7a9b3c346047f8eff8989652794c2442 | [
"Apache-2.0"
] | 5 | 2020-01-18T11:44:27.000Z | 2021-07-15T18:54:34.000Z | firestore_orm/relationship.py | Silvrash/firestorm | f87ef82c7a9b3c346047f8eff8989652794c2442 | [
"Apache-2.0"
] | null | null | null | firestore_orm/relationship.py | Silvrash/firestorm | f87ef82c7a9b3c346047f8eff8989652794c2442 | [
"Apache-2.0"
] | 2 | 2019-11-07T10:02:13.000Z | 2020-03-05T04:31:35.000Z | __author__ = 'Benjamin Arko Afrasah'
import firebase_admin
from firebase_admin import firestore
from firebase_admin import storage
from firestore_orm.base import FirestoreORM
from firestore_orm.model import Model
def relationship(model, foreign_model, key, uselist=False):
# type: (Model, Model, str, bool) -> Mo... | 35.129032 | 108 | 0.64371 |
62b5402e5e6196cc4a09e518e492fe9f0973738c | 474 | py | Python | 23-Machine-Learning-for-TimeSeries-Data-in-Python/02-Time Series as Inputs to a Model/5.Calculating features from the envelope.py | AndreasFerox/DataCamp | 41525d7252f574111f4929158da1498ee1e73a84 | [
"MIT"
] | 1 | 2021-01-31T20:51:10.000Z | 2021-01-31T20:51:10.000Z | 23-Machine-Learning-for-TimeSeries-Data-in-Python/02-Time Series as Inputs to a Model/5.Calculating features from the envelope.py | AndreasFerox/DataCamp | 41525d7252f574111f4929158da1498ee1e73a84 | [
"MIT"
] | null | null | null | 23-Machine-Learning-for-TimeSeries-Data-in-Python/02-Time Series as Inputs to a Model/5.Calculating features from the envelope.py | AndreasFerox/DataCamp | 41525d7252f574111f4929158da1498ee1e73a84 | [
"MIT"
] | null | null | null | ## Calculating features from the envelope
# Calculate stats
means = np.mean(audio_rectified_smooth, axis=0)
stds = np.std(audio_rectified_smooth, axis=0)
maxs = np.max(audio_rectified_smooth, axis=0)
# Create the X and y arrays
X = np.column_stack([means, stds, maxs])
y = labels.reshape([-1, 1])
# Fit the model and ... | 31.6 | 51 | 0.765823 |
62b54df5015f284089cefc4e5ad287c68607a1ec | 128 | py | Python | profiles/admin.py | chandru-shane/django-forum-project | 061325ce0234c7e183df7bdb180907fc23acc11e | [
"MIT"
] | 3 | 2021-01-03T01:57:05.000Z | 2021-01-05T07:36:25.000Z | ozgur_etkinlik/auths/admin.py | ilteriskeskin/Ozgur-Etkinlik | 2ed47a7251ba2e49d30a90f7ef94ebbcdad6fcaa | [
"MIT"
] | 3 | 2019-06-08T22:33:38.000Z | 2019-06-17T19:58:34.000Z | ozgur_etkinlik/auths/admin.py | ilteriskeskin/Ozgur-Etkinlik | 2ed47a7251ba2e49d30a90f7ef94ebbcdad6fcaa | [
"MIT"
] | 2 | 2019-06-21T16:52:12.000Z | 2019-06-21T17:15:33.000Z | from django.contrib import admin
from .models import UserProfile
# Register your models here.
admin.site.register(UserProfile) | 21.333333 | 32 | 0.820313 |
62b556f8d3623afca9226c97cd39d3556152aafb | 4,854 | py | Python | sdk/digitaltwins/azure-mgmt-digitaltwins/azure/mgmt/digitaltwins/v2020_10_31/aio/operations/_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/digitaltwins/azure-mgmt-digitaltwins/azure/mgmt/digitaltwins/v2020_10_31/aio/operations/_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/digitaltwins/azure-mgmt-digitaltwins/azure/mgmt/digitaltwins/v2020_10_31/aio/operations/_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 43.72973 | 133 | 0.672023 |
62b57eca727f2d66880fb5d9f952e3bea55dccab | 1,030 | py | Python | codesandbox/test_scripts/gui_with_signal.py | ananttuli-elipse-uq/code-sandbox | fcb333a32c14b5684c18e4a6005a8254a5d2b7dd | [
"MIT"
] | null | null | null | codesandbox/test_scripts/gui_with_signal.py | ananttuli-elipse-uq/code-sandbox | fcb333a32c14b5684c18e4a6005a8254a5d2b7dd | [
"MIT"
] | null | null | null | codesandbox/test_scripts/gui_with_signal.py | ananttuli-elipse-uq/code-sandbox | fcb333a32c14b5684c18e4a6005a8254a5d2b7dd | [
"MIT"
] | 2 | 2018-01-12T01:10:25.000Z | 2021-02-10T05:01:55.000Z | """
Some old mypy questions run tests after the GUI has been destroyed, so test for that output
"""
from tkinter import Tk, Label, Button
from signal import signal, SIGTERM, SIGINT
class SignalGUI:
def __init__(self, master):
self.master = master
master.title("A simple GUI")
self.label =... | 23.409091 | 92 | 0.674757 |
62b58dc8a5db8033df871382fe50b729a8113245 | 11,752 | py | Python | tests/keras/test_sequential_model.py | mduranmustafa/keras | d4a14ee54728ac8ea6c5ffbf41f559662dcfba46 | [
"MIT"
] | 75 | 2018-08-03T01:10:36.000Z | 2022-02-25T05:08:39.000Z | tests/keras/test_sequential_model.py | coderclear/ConvGRU | c458024d5c379ef990f72b6f6b738301e1895cff | [
"MIT"
] | 9 | 2018-08-14T14:33:58.000Z | 2021-09-06T07:04:14.000Z | tests/keras/test_sequential_model.py | coderclear/ConvGRU | c458024d5c379ef990f72b6f6b738301e1895cff | [
"MIT"
] | 19 | 2018-08-11T20:44:42.000Z | 2021-12-01T00:41:52.000Z | from __future__ import absolute_import
from __future__ import print_function
import pytest
import os
import numpy as np
from keras import backend as K
import keras
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.utils import np_utils
from keras.utils.test_utils import get_test... | 31.67655 | 116 | 0.673077 |
62b59a22970bb6d275aaa5f5b0f32f3caf7d9be0 | 4,264 | py | Python | manage.py | lmokto/microdevices | 75a129d1c32f64afe9027338c4be304322ded857 | [
"MIT"
] | null | null | null | manage.py | lmokto/microdevices | 75a129d1c32f64afe9027338c4be304322ded857 | [
"MIT"
] | 1 | 2021-06-02T00:01:14.000Z | 2021-06-02T00:01:14.000Z | manage.py | lmokto/microdevices | 75a129d1c32f64afe9027338c4be304322ded857 | [
"MIT"
] | null | null | null | import argparse
import sys
from microdevices.libs.utils import (
handler_registry, fnc_handler, fnc_change, init_database, handler_inspect, handler_launch
)
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
engine = create_engine('sqlite:///microdevices.db', echo=True)
Session = session... | 43.070707 | 114 | 0.725375 |
62b5baf69b7b89cecf5bd2b1a8407f13d39093e4 | 709 | py | Python | numeric_methods/utils.py | LimaBD/studies | 512dee0b1ad3b98ffb265e70af21e68bc8098d55 | [
"MIT"
] | null | null | null | numeric_methods/utils.py | LimaBD/studies | 512dee0b1ad3b98ffb265e70af21e68bc8098d55 | [
"MIT"
] | null | null | null | numeric_methods/utils.py | LimaBD/studies | 512dee0b1ad3b98ffb265e70af21e68bc8098d55 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
#
# Utils module
#
# by Bruno Daniel Lima
"""Utils module"""
# Standard packages
import sys
import re
def get_multiple_argument(arg, default=['']):
"""Extract n arg values and returns a list"""
result = []
is_arg_value = False
for item in sys.argv:
if item.startswith... | 20.257143 | 49 | 0.620592 |
62b61bc154d254ff6f7a0622f9e88a3bc69ba7e2 | 622 | py | Python | manage.py | TvvH05ozL6/table-summarisation | 2549ec29844a6e2b7350a9ba37c0b45d1c76a5ba | [
"MIT"
] | 1 | 2021-12-06T10:35:14.000Z | 2021-12-06T10:35:14.000Z | manage.py | TvvH05ozL6/table-summarisation | 2549ec29844a6e2b7350a9ba37c0b45d1c76a5ba | [
"MIT"
] | null | null | null | manage.py | TvvH05ozL6/table-summarisation | 2549ec29844a6e2b7350a9ba37c0b45d1c76a5ba | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'app.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportErro... | 28.272727 | 73 | 0.681672 |
62b64fdc14ad6f98cf901582df488e608de0ead2 | 6,450 | py | Python | ocd_backend/pipeline.py | openstate/kamervragen | 0b9486dfe1521f3e88b144f9cc8ad2b32ff24834 | [
"CC-BY-4.0"
] | 2 | 2018-03-15T16:32:59.000Z | 2021-04-06T01:37:18.000Z | ocd_backend/pipeline.py | openstate/kamervragen | 0b9486dfe1521f3e88b144f9cc8ad2b32ff24834 | [
"CC-BY-4.0"
] | 7 | 2017-07-06T11:45:54.000Z | 2022-03-11T23:14:16.000Z | ocd_backend/pipeline.py | openstate/kamervragen | 0b9486dfe1521f3e88b144f9cc8ad2b32ff24834 | [
"CC-BY-4.0"
] | 2 | 2018-04-05T09:46:44.000Z | 2018-04-13T14:29:02.000Z | from datetime import datetime
from uuid import uuid4
from elasticsearch.exceptions import NotFoundError
from celery import chain
from ocd_backend.es import elasticsearch as es
from ocd_backend import settings, celery_app
from ocd_backend.log import get_source_logger
from ocd_backend.utils.misc import load_object
from... | 39.814815 | 97 | 0.672248 |
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