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43c2d697bacb0820c4e842d6861cb1732909d8a0 | 11,386 | py | Python | main_fed.py | gao969/scaffold-dgc-clustering | 9f259dfdf0897dcb1dece2e1197268f585f54a69 | [
"MIT"
] | null | null | null | main_fed.py | gao969/scaffold-dgc-clustering | 9f259dfdf0897dcb1dece2e1197268f585f54a69 | [
"MIT"
] | null | null | null | main_fed.py | gao969/scaffold-dgc-clustering | 9f259dfdf0897dcb1dece2e1197268f585f54a69 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import copy
import numpy as np
from torchvision import datasets, transforms
import torch
import os
import torch.distributed as dist
from utils.sampling import mnist_iid, mnist_non... | 35.033846 | 136 | 0.584578 |
43c3bca28b83f4b20caa188f5ac7f59f03173404 | 2,085 | py | Python | b_lambda_layer_common_test/integration/infrastructure/function_with_unit_tests.py | gkazla/B.LambdaLayerCommon | 1a4f9cd3d8b7e447c8467bd7dde50cb9e9a6e980 | [
"Apache-2.0"
] | null | null | null | b_lambda_layer_common_test/integration/infrastructure/function_with_unit_tests.py | gkazla/B.LambdaLayerCommon | 1a4f9cd3d8b7e447c8467bd7dde50cb9e9a6e980 | [
"Apache-2.0"
] | null | null | null | b_lambda_layer_common_test/integration/infrastructure/function_with_unit_tests.py | gkazla/B.LambdaLayerCommon | 1a4f9cd3d8b7e447c8467bd7dde50cb9e9a6e980 | [
"Apache-2.0"
] | null | null | null | from aws_cdk.aws_lambda import Function, Code, Runtime
from aws_cdk.core import Stack, Duration
from b_aws_testing_framework.tools.cdk_testing.testing_stack import TestingStack
from b_cfn_lambda_layer.package_version import PackageVersion
from b_lambda_layer_common.layer import Layer
from b_lambda_layer_common_test.un... | 47.386364 | 129 | 0.601918 |
43c4a0c547cce9ae68639184c6cd8640efc21e50 | 857 | py | Python | tests/metarl/tf/baselines/test_baselines.py | neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | [
"MIT"
] | 2 | 2021-02-07T12:14:52.000Z | 2021-07-29T08:07:22.000Z | tests/metarl/tf/baselines/test_baselines.py | neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | [
"MIT"
] | null | null | null | tests/metarl/tf/baselines/test_baselines.py | neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | [
"MIT"
] | null | null | null | """
This script creates a test that fails when
metarl.tf.baselines failed to initialize.
"""
import tensorflow as tf
from metarl.envs import MetaRLEnv
from metarl.tf.baselines import ContinuousMLPBaseline
from metarl.tf.baselines import GaussianMLPBaseline
from tests.fixtures import TfGraphTestCase
from tests.fixtures... | 31.740741 | 76 | 0.772462 |
43c4fed77cd489496d3337fe3e83cfcc13582afb | 2,390 | py | Python | api/files/api/app/monthly_report.py | trackit/trackit-legacy | 76cfab7941eddb9d390dd6c7b9a408a9ad4fc8da | [
"Apache-2.0"
] | 2 | 2018-02-01T09:18:05.000Z | 2020-03-12T18:11:11.000Z | api/files/api/app/monthly_report.py | trackit/trackit-legacy | 76cfab7941eddb9d390dd6c7b9a408a9ad4fc8da | [
"Apache-2.0"
] | null | null | null | api/files/api/app/monthly_report.py | trackit/trackit-legacy | 76cfab7941eddb9d390dd6c7b9a408a9ad4fc8da | [
"Apache-2.0"
] | 5 | 2018-05-11T10:32:52.000Z | 2021-05-26T12:09:47.000Z | import jinja2
import json
from send_email import send_email
from app.models import User, MyResourcesAWS, db
from app.es.awsdetailedlineitem import AWSDetailedLineitem
from sqlalchemy import desc
import subprocess
import datetime
from flask import render_template
| 47.8 | 205 | 0.65523 |
43c657c522f9cb22a9a0ca2bb0912e5da035332c | 7,309 | py | Python | slow_tests/boot_test.py | rdturnermtl/mlpaper | 5da5cb7b3a56d3cfdc7162d01fac2679c9050e76 | [
"Apache-2.0"
] | 9 | 2020-07-23T02:12:48.000Z | 2021-06-24T08:19:08.000Z | slow_tests/boot_test.py | rdturnermtl/benchmark_tools | 5da5cb7b3a56d3cfdc7162d01fac2679c9050e76 | [
"Apache-2.0"
] | 14 | 2017-11-29T04:17:04.000Z | 2018-03-07T00:35:00.000Z | slow_tests/boot_test.py | rdturnermtl/mlpaper | 5da5cb7b3a56d3cfdc7162d01fac2679c9050e76 | [
"Apache-2.0"
] | 1 | 2017-12-29T01:46:31.000Z | 2017-12-29T01:46:31.000Z | # Ryan Turner (turnerry@iro.umontreal.ca)
from __future__ import division, print_function
from builtins import range
import numpy as np
import scipy.stats as ss
import mlpaper.constants as cc
import mlpaper.mlpaper as bt
import mlpaper.perf_curves as pc
from mlpaper.classification import DEFAULT_NGRID, curve_boot
fr... | 35.480583 | 118 | 0.623341 |
43c90a0a29279010bde058050d6af3ae4d07f61d | 3,047 | py | Python | core/test/test_timeseries_study.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/test/test_timeseries_study.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/test/test_timeseries_study.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | from typing import Any, Dict
import numpy as np
import pandas as pd
import core.artificial_signal_generators as sig_gen
import core.statistics as stats
import core.timeseries_study as tss
import helpers.unit_test as hut
| 33.855556 | 72 | 0.628159 |
43cb99a95c79677af08d364cd292e9e06fb31368 | 718 | py | Python | util.py | takat0m0/infoGAN | bc3ba0d4e407851e97f49322add98ea2e7e429de | [
"MIT"
] | null | null | null | util.py | takat0m0/infoGAN | bc3ba0d4e407851e97f49322add98ea2e7e429de | [
"MIT"
] | null | null | null | util.py | takat0m0/infoGAN | bc3ba0d4e407851e97f49322add98ea2e7e429de | [
"MIT"
] | null | null | null | #! -*- coding:utf-8 -*-
import os
import sys
import cv2
import numpy as np
| 23.933333 | 64 | 0.639276 |
43cc7a30161b57bb1e1d6f7efc6e267ff0a84af5 | 471 | py | Python | myhoodApp/migrations/0002_healthfacilities_hospital_image.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | myhoodApp/migrations/0002_healthfacilities_hospital_image.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | myhoodApp/migrations/0002_healthfacilities_hospital_image.py | MutuaFranklin/MyHood | 6ddd21c4a67936c8926d6f5a8665a06edf81f39e | [
"MIT"
] | null | null | null | # Generated by Django 3.2.7 on 2021-09-23 20:01
import cloudinary.models
from django.db import migrations
| 23.55 | 111 | 0.647558 |
43cc95eb28ba86bd35c1811cb4456f10d8f69c56 | 380 | py | Python | forecasting_algorithms/Multiple_Timeseries/VAR/var.py | ans682/SafePredict_and_Forecasting | 30ac5a0b665fce090567476bc07b54489b2f3d0f | [
"BSD-3-Clause"
] | 1 | 2021-08-05T23:01:47.000Z | 2021-08-05T23:01:47.000Z | forecasting_algorithms/Multiple_Timeseries/VAR/var.py | ans682/SafePredict_and_Forecasting | 30ac5a0b665fce090567476bc07b54489b2f3d0f | [
"BSD-3-Clause"
] | 1 | 2021-12-22T08:26:13.000Z | 2021-12-22T08:26:13.000Z | forecasting_algorithms/Multiple_Timeseries/VAR/var.py | ans682/SafePredict_and_Forecasting | 30ac5a0b665fce090567476bc07b54489b2f3d0f | [
"BSD-3-Clause"
] | null | null | null | # VAR example
from statsmodels.tsa.vector_ar.var_model import VAR
from random import random
# contrived dataset with dependency
data = list()
for i in range(100):
v1 = i + random()
v2 = v1 + random()
row = [v1, v2]
data.append(row)
# fit model
model = VAR(data)
model_fit = model.fit()
# make prediction
... | 22.352941 | 51 | 0.697368 |
43ccba90b50389b99008103e1fcff4ea674ca290 | 2,140 | py | Python | candidate-scrape.py | jonykarki/hamroscraper | a7e34a9cdca89be10422d045f1ed34e9956bd75f | [
"MIT"
] | 2 | 2019-09-23T23:41:44.000Z | 2019-10-06T03:13:17.000Z | candidate-scrape.py | jonykarki/hamroscraper | a7e34a9cdca89be10422d045f1ed34e9956bd75f | [
"MIT"
] | null | null | null | candidate-scrape.py | jonykarki/hamroscraper | a7e34a9cdca89be10422d045f1ed34e9956bd75f | [
"MIT"
] | 4 | 2019-11-26T18:29:20.000Z | 2021-01-22T06:30:20.000Z | import json
import urllib.request
import MySQLdb
db = MySQLdb.connect(host="localhost", # your host, usually localhost
user="root", # your username
passwd="", # your password
db="election")
cur = db.cursor()
# user_agent for sending headers w... | 27.792208 | 105 | 0.619159 |
43cde366d5fb7850e5493e9384c566462676fb5d | 3,101 | py | Python | sangita/hindi/lemmatizer.py | ashiscs/sangita | b90c49859339147137db1c2bdb60a1039a00c706 | [
"Apache-2.0"
] | 36 | 2017-05-30T04:41:06.000Z | 2019-02-17T08:41:10.000Z | sangita/hindi/lemmatizer.py | 07kshitij/sangita | b90c49859339147137db1c2bdb60a1039a00c706 | [
"Apache-2.0"
] | 13 | 2018-06-25T11:14:48.000Z | 2021-05-15T17:57:47.000Z | sangita/hindi/lemmatizer.py | 07kshitij/sangita | b90c49859339147137db1c2bdb60a1039a00c706 | [
"Apache-2.0"
] | 33 | 2018-06-23T21:46:39.000Z | 2022-03-01T15:55:37.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 9 23:28:21 2017
@author: samriddhi
"""
import re
import sangita.hindi.tokenizer as tok
import sangita.hindi.corpora.lemmata as lt
if __name__ == '__main__':
input_str = ' - - - . '
print(lookupLemmatizer(input... | 27.936937 | 209 | 0.507256 |
43cee9ce3aeb6af7cef400c841ab802c88461d4b | 8,148 | py | Python | gslib/tests/test_stet_util.py | ttobisawa/gsutil | ef665b590aa8e6cecfe251295bce8bf99ea69467 | [
"Apache-2.0"
] | null | null | null | gslib/tests/test_stet_util.py | ttobisawa/gsutil | ef665b590aa8e6cecfe251295bce8bf99ea69467 | [
"Apache-2.0"
] | null | null | null | gslib/tests/test_stet_util.py | ttobisawa/gsutil | ef665b590aa8e6cecfe251295bce8bf99ea69467 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2021 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 40.74 | 80 | 0.689494 |
43cfdd42faa2065cb7d2cefc439413b4ed53c719 | 4,471 | py | Python | markdown_editing/tests/test_extension.py | makyo/markdown-editing | ecbc8970f4d416038f9d2c46fae22d4dbb79c647 | [
"MIT"
] | null | null | null | markdown_editing/tests/test_extension.py | makyo/markdown-editing | ecbc8970f4d416038f9d2c46fae22d4dbb79c647 | [
"MIT"
] | null | null | null | markdown_editing/tests/test_extension.py | makyo/markdown-editing | ecbc8970f4d416038f9d2c46fae22d4dbb79c647 | [
"MIT"
] | null | null | null | from markdown import markdown
from unittest import TestCase
from markdown_editing.extension import EditingExtension
| 39.566372 | 224 | 0.636547 |
43cffed323ab5de7f6be36b25de0a210ece3af09 | 15,477 | py | Python | apps/siren/test_handlers.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 15 | 2019-02-12T23:26:09.000Z | 2021-12-21T08:53:58.000Z | apps/siren/test_handlers.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 2 | 2019-01-23T21:13:12.000Z | 2019-06-28T15:45:51.000Z | apps/siren/test_handlers.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 6 | 2019-01-23T20:22:50.000Z | 2022-02-03T03:27:04.000Z | """
SIREN/DIANA basic functionality testing framework
Requires env vars:
- GMAIL_USER
- GMAIL_APP_PASSWORD
- GMAIL_BASE_NAME -- ie, abc -> abc+hobitduke@gmail.com
These env vars are set to default:
- ORTHANC_PASSWORD
- SPLUNK_PASSWORD
- SPLUNK_HEC_TOKEN
TODO: Move stuff to archive after collected
TODO: Write data i... | 27.588235 | 151 | 0.648511 |
43d0fea901e478a41a7213fecbddf4d86fc4b79e | 6,735 | py | Python | deptree.py | jeking3/boost-deptree | 27eda54df2d022af17347df4ba4892c39392e474 | [
"BSL-1.0"
] | null | null | null | deptree.py | jeking3/boost-deptree | 27eda54df2d022af17347df4ba4892c39392e474 | [
"BSL-1.0"
] | null | null | null | deptree.py | jeking3/boost-deptree | 27eda54df2d022af17347df4ba4892c39392e474 | [
"BSL-1.0"
] | null | null | null | #
# Copyright (c) 2019 James E. King III
#
# Use, modification, and distribution are subject to the
# Boost Software License, Version 1.0. (See accompanying file
# LICENSE_1_0.txt or copy at https://www.boost.org/LICENSE_1_0.txt)
#
import json
import networkx
import re
from pathlib import Path
if __name__ == "__mai... | 40.572289 | 111 | 0.515367 |
43d13fbbdf77afe2138ccc76bfc3468760cf2d47 | 7,357 | py | Python | uberbackend.py | adiHusky/uber_backend | adc78882c081f7636b809d6e1889ba3297309e20 | [
"MIT"
] | null | null | null | uberbackend.py | adiHusky/uber_backend | adc78882c081f7636b809d6e1889ba3297309e20 | [
"MIT"
] | null | null | null | uberbackend.py | adiHusky/uber_backend | adc78882c081f7636b809d6e1889ba3297309e20 | [
"MIT"
] | null | null | null | from flask import Flask, flash, request, jsonify, render_template, redirect, url_for, g, session, send_from_directory, abort
from flask_cors import CORS
# from flask import status
from datetime import date, datetime, timedelta
from calendar import monthrange
from dateutil.parser import parse
import pytz
import os
impor... | 29.079051 | 124 | 0.652984 |
43d2040db0a01d747e5d0a9ffdc2859f95f69610 | 6,359 | py | Python | sppas/sppas/src/models/acm/htkscripts.py | mirfan899/MTTS | 3167b65f576abcc27a8767d24c274a04712bd948 | [
"MIT"
] | null | null | null | sppas/sppas/src/models/acm/htkscripts.py | mirfan899/MTTS | 3167b65f576abcc27a8767d24c274a04712bd948 | [
"MIT"
] | null | null | null | sppas/sppas/src/models/acm/htkscripts.py | mirfan899/MTTS | 3167b65f576abcc27a8767d24c274a04712bd948 | [
"MIT"
] | null | null | null | """
..
---------------------------------------------------------------------
___ __ __ __ ___
/ | \ | \ | \ / the automatic
\__ |__/ |__/ |___| \__ annotation and
\ | | | | \ analysis
___/... | 32.610256 | 80 | 0.492845 |
43d3b50d90e2618726a0619c25ddcb995a36172f | 2,961 | py | Python | icekit/plugins/map/tests.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 52 | 2016-09-13T03:50:58.000Z | 2022-02-23T16:25:08.000Z | icekit/plugins/map/tests.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 304 | 2016-08-11T14:17:30.000Z | 2020-07-22T13:35:18.000Z | icekit/plugins/map/tests.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 12 | 2016-09-21T18:46:35.000Z | 2021-02-15T19:37:50.000Z | from mock import patch
from django.contrib.contenttypes.models import ContentType
from django.contrib.sites.models import Site
from django.contrib.auth import get_user_model
from django.core import exceptions
from django_dynamic_fixture import G
from django_webtest import WebTest
from icekit.models import Layout
from... | 38.960526 | 381 | 0.67207 |
43d418c8d833bba41481c7b2cbeab0fbbe8f44c5 | 548 | py | Python | example/example.py | saravanabalagi/imshowtools | ea81af888c69223ff8b42b5c4b8c034483eebe21 | [
"MIT"
] | 4 | 2019-07-18T17:24:02.000Z | 2020-10-14T06:09:05.000Z | example/example.py | saravanabalagi/imshowtools | ea81af888c69223ff8b42b5c4b8c034483eebe21 | [
"MIT"
] | 1 | 2020-04-18T01:05:22.000Z | 2020-04-18T01:10:53.000Z | example/example.py | saravanabalagi/imshowtools | ea81af888c69223ff8b42b5c4b8c034483eebe21 | [
"MIT"
] | null | null | null | from imshowtools import imshow
import cv2
if __name__ == '__main__':
image_lenna = cv2.imread("lenna.png")
imshow(image_lenna, mode='BGR', window_title="LennaWindow", title="Lenna")
image_lenna_bgr = cv2.imread("lenna_bgr.png")
imshow(image_lenna, image_lenna_bgr, mode=['BGR', 'RGB'], title=['lenna_... | 39.142857 | 109 | 0.678832 |
43d619ff813d6467445c26ac811f7e5c110c5dd3 | 729 | py | Python | terminalone/models/concept.py | amehta1/t1-python | 4f7eb0bec7671b29baf3105b8cafafb373107e7b | [
"Apache-2.0"
] | 24 | 2015-07-09T18:49:10.000Z | 2021-06-07T18:36:58.000Z | terminalone/models/concept.py | amehta1/t1-python | 4f7eb0bec7671b29baf3105b8cafafb373107e7b | [
"Apache-2.0"
] | 100 | 2015-07-13T20:24:50.000Z | 2020-08-10T11:16:39.000Z | terminalone/models/concept.py | amehta1/t1-python | 4f7eb0bec7671b29baf3105b8cafafb373107e7b | [
"Apache-2.0"
] | 36 | 2015-07-09T18:51:48.000Z | 2022-02-14T22:44:37.000Z | # -*- coding: utf-8 -*-
"""Provides concept object."""
from __future__ import absolute_import
from .. import t1types
from ..entity import Entity
| 22.78125 | 68 | 0.581619 |
43d690157e44125280f30cea5097fb9b835832b6 | 932 | py | Python | videofeed.py | dmeklund/asyncdemo | 956f193c0fa38744965362966ac7f8ef224409b4 | [
"MIT"
] | null | null | null | videofeed.py | dmeklund/asyncdemo | 956f193c0fa38744965362966ac7f8ef224409b4 | [
"MIT"
] | null | null | null | videofeed.py | dmeklund/asyncdemo | 956f193c0fa38744965362966ac7f8ef224409b4 | [
"MIT"
] | null | null | null | """
Mock up a video feed pipeline
"""
import asyncio
import logging
import sys
import cv2
logging.basicConfig(format="[%(thread)-5d]%(asctime)s: %(message)s")
logger = logging.getLogger('async')
logger.setLevel(logging.INFO)
def main():
loop = asyncio.get_event_loop()
loop.run_until_complete(process_video... | 22.731707 | 76 | 0.687768 |
43d763b4860a448a07b1ac979d461dd9025028b9 | 11,807 | py | Python | parsers/read_lspci_and_glxinfo.py | mikeus9908/peracotta | c54c351acae8afec250185f4bc714a2f86c47c90 | [
"MIT"
] | 3 | 2019-04-01T17:28:20.000Z | 2020-11-19T17:25:32.000Z | parsers/read_lspci_and_glxinfo.py | mikeus9908/peracotta | c54c351acae8afec250185f4bc714a2f86c47c90 | [
"MIT"
] | 142 | 2018-11-05T18:13:13.000Z | 2022-03-12T17:43:40.000Z | parsers/read_lspci_and_glxinfo.py | mikeus9908/peracotta | c54c351acae8afec250185f4bc714a2f86c47c90 | [
"MIT"
] | 10 | 2019-10-25T12:28:37.000Z | 2021-05-17T17:32:56.000Z | #!/usr/bin/python3
"""
Read "lspci -v" and "glxinfo" outputs
"""
import re
from dataclasses import dataclass
from InputFileNotFoundError import InputFileNotFoundError
if __name__ == "__main__":
import argparse
import json
parser = argparse.ArgumentParser(description="Parse lspci/glxinfo output")
... | 40.023729 | 121 | 0.510206 |
43d8185a62fc1d316a49c5b7d44a50853bf56a88 | 9,682 | py | Python | upload.py | snymainn/tools- | af57a1a4d0f1aecff33ab28c6f27acc893f37fbc | [
"MIT"
] | null | null | null | upload.py | snymainn/tools- | af57a1a4d0f1aecff33ab28c6f27acc893f37fbc | [
"MIT"
] | null | null | null | upload.py | snymainn/tools- | af57a1a4d0f1aecff33ab28c6f27acc893f37fbc | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
from loglib import SNYLogger
import ftplib
import argparse
import re
import os
import calendar
import time
#GET LOCAL FILELIST
#
# login to ftp server
#
#
# get remote files
#
parser = argparse.ArgumentParser()
parser.add_argument("... | 37.968627 | 122 | 0.567858 |
43d87b5ab1e5e10305ebbe366e85481beb47273f | 2,637 | py | Python | chapter2/intogen-arrays/src/mrna/mrna_comb_gene_classif.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | 1 | 2015-12-22T00:53:18.000Z | 2015-12-22T00:53:18.000Z | chapter2/intogen-arrays/src/mrna/mrna_comb_gene_classif.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | null | null | null | chapter2/intogen-arrays/src/mrna/mrna_comb_gene_classif.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
"""
Classify oncodrive gene results and prepare for combination
* Configuration parameters:
- The ones required by intogen.data.entity.EntityManagerFactory
* Input:
- oncodrive_ids: The mrna.oncodrive_genes to process
* Output:
- combinations: The mrna.combination prepared to be calculated
... | 21.975 | 115 | 0.680319 |
43d8dcfde4fc817f885eb2d557c4f9603d6da4be | 86 | py | Python | src/FunctionApps/DevOps/tests/test_get_ip.py | CDCgov/prime-public-health-data-infrastructure | 7e4849c3a486a84e94765bf0023b80261c510c57 | [
"Apache-2.0"
] | 3 | 2022-02-24T18:16:39.000Z | 2022-03-29T20:21:41.000Z | src/FunctionApps/DevOps/tests/test_get_ip.py | CDCgov/prime-public-health-data-infrastructure | 7e4849c3a486a84e94765bf0023b80261c510c57 | [
"Apache-2.0"
] | 17 | 2022-02-08T17:13:55.000Z | 2022-03-28T16:49:00.000Z | src/FunctionApps/DevOps/tests/test_get_ip.py | CDCgov/prime-public-health-data-infrastructure | 7e4849c3a486a84e94765bf0023b80261c510c57 | [
"Apache-2.0"
] | 3 | 2022-02-27T23:12:50.000Z | 2022-03-17T04:51:47.000Z | def test_get_ip_placeholder():
"""placeholder so pytest does not fail"""
pass
| 21.5 | 45 | 0.697674 |
43d92304705312e029e4656dd5bbcccaf8cbee7d | 861 | py | Python | data/models/svm_benchmark.py | Laurenhut/Machine_Learning_Final | 4fca33754ef42acde504cc64e6bbe4e463caadf8 | [
"MIT"
] | null | null | null | data/models/svm_benchmark.py | Laurenhut/Machine_Learning_Final | 4fca33754ef42acde504cc64e6bbe4e463caadf8 | [
"MIT"
] | null | null | null | data/models/svm_benchmark.py | Laurenhut/Machine_Learning_Final | 4fca33754ef42acde504cc64e6bbe4e463caadf8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from sklearn import svm
import csv_io
if __name__=="__main__":
main()
| 31.888889 | 72 | 0.615563 |
43d983edaa81a2f049c07647c3d3908b2dea574f | 1,605 | py | Python | configs/utils/config_generator.py | user-wu/SOD_eval_metrics | d5b8804580cb52a4237c8e613818d10591dc6597 | [
"MIT"
] | null | null | null | configs/utils/config_generator.py | user-wu/SOD_eval_metrics | d5b8804580cb52a4237c8e613818d10591dc6597 | [
"MIT"
] | null | null | null | configs/utils/config_generator.py | user-wu/SOD_eval_metrics | d5b8804580cb52a4237c8e613818d10591dc6597 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from matplotlib import colors
# max = 148
_COLOR_Genarator = iter(
sorted(
[
color
for name, color in colors.cnames.items()
if name not in ["red", "white"] or not name.startswith("light") or "gray" in name
]
)
)
| 29.181818 | 93 | 0.598754 |
43db9748cf12932e64e00e512404058350f2661e | 1,151 | py | Python | core/sms_service.py | kartik1000/jcc-registration-portal | 053eade1122fa760ae112a8599a396d68dfb16b8 | [
"MIT"
] | null | null | null | core/sms_service.py | kartik1000/jcc-registration-portal | 053eade1122fa760ae112a8599a396d68dfb16b8 | [
"MIT"
] | null | null | null | core/sms_service.py | kartik1000/jcc-registration-portal | 053eade1122fa760ae112a8599a396d68dfb16b8 | [
"MIT"
] | null | null | null | from urllib.parse import urlencode
from decouple import config
import hashlib
import requests
BASE = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
auth_key = config('AUTH_KEY')
url = 'http://sms.globehost.com/api/sendhttp.php?'
| 23.979167 | 72 | 0.644657 |
43dc511c1276023b6e01df3b43e2f8d7dd243462 | 1,522 | py | Python | scripts/fetch_images.py | Protagonistss/sanic-for-v3 | ba7e94273b77914b8d85d67cf513041ada00780d | [
"MIT"
] | null | null | null | scripts/fetch_images.py | Protagonistss/sanic-for-v3 | ba7e94273b77914b8d85d67cf513041ada00780d | [
"MIT"
] | null | null | null | scripts/fetch_images.py | Protagonistss/sanic-for-v3 | ba7e94273b77914b8d85d67cf513041ada00780d | [
"MIT"
] | null | null | null | import sys
import os
sys.path.append(os.pardir)
import random
import time
import requests
from contextlib import closing
from help import utils
from threading import Thread
if __name__ == '__main__':
t1 = Thread(target=main)
t2 = Thread(target=main)
t3 = Thread(target=main)
t4 = Thread(target=... | 24.15873 | 79 | 0.660972 |
43dd49ec321203c525ba8f13879673eb4d300e9f | 3,912 | py | Python | GeneralStats/example.py | haoruilee/statslibrary | 01494043bc7fb82d4aa6d7d550a4e7dc2ac0503a | [
"MIT"
] | 58 | 2019-02-04T13:53:16.000Z | 2022-02-24T02:59:55.000Z | GeneralStats/example.py | haoruilee/statslibrary | 01494043bc7fb82d4aa6d7d550a4e7dc2ac0503a | [
"MIT"
] | null | null | null | GeneralStats/example.py | haoruilee/statslibrary | 01494043bc7fb82d4aa6d7d550a4e7dc2ac0503a | [
"MIT"
] | 19 | 2019-03-21T01:54:55.000Z | 2021-12-03T13:55:16.000Z | import GeneralStats as gs
import numpy as np
from scipy.stats import skew
from scipy.stats import kurtosistest
import pandas as pd
if __name__ == "__main__":
gen=gs.GeneralStats()
data=np.array([[1, 1, 2, 2, 3],[2, 2, 3, 3, 5],[1, 4, 3, 3, 3],[2, 4, 5, 5, 3]])
data1=np.array([1,2,3,4,5])
... | 36.222222 | 109 | 0.576431 |
43ddbd75df809ab6f556d3498600ef7c94a80521 | 16,408 | py | Python | bootstrap.py | tqchen/yarn-ec2 | 303f3980ad41770011b72532ed9f7c6bbe876508 | [
"Apache-2.0"
] | 35 | 2016-02-23T19:15:46.000Z | 2021-01-01T02:57:43.000Z | bootstrap.py | tqchen/cloud-scripts | 303f3980ad41770011b72532ed9f7c6bbe876508 | [
"Apache-2.0"
] | 4 | 2016-11-12T16:49:16.000Z | 2018-11-02T21:20:23.000Z | bootstrap.py | tqchen/yarn-ec2 | 303f3980ad41770011b72532ed9f7c6bbe876508 | [
"Apache-2.0"
] | 25 | 2016-02-26T20:28:13.000Z | 2020-07-26T12:02:34.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
script to install all the necessary things
for working on a linux machine with nothing
Installing minimum dependencies
"""
import sys
import os
import logging
import subprocess
import xml.etree.ElementTree as ElementTree
import xml.dom.minidom as minidom
import socket
import... | 37.461187 | 133 | 0.585629 |
43de15a64fd73557d8ace8fe63e08534f03c9747 | 400 | py | Python | intro/matplotlib/examples/plot_good.py | zmoon/scipy-lecture-notes | 75a89ddedeb48930dbdb6fe25a76e9ef0587ae21 | [
"CC-BY-4.0"
] | 2,538 | 2015-01-01T04:58:41.000Z | 2022-03-31T21:06:05.000Z | intro/matplotlib/examples/plot_good.py | zmoon/scipy-lecture-notes | 75a89ddedeb48930dbdb6fe25a76e9ef0587ae21 | [
"CC-BY-4.0"
] | 362 | 2015-01-18T14:16:23.000Z | 2021-11-18T16:24:34.000Z | intro/matplotlib/examples/plot_good.py | zmoon/scipy-lecture-notes | 75a89ddedeb48930dbdb6fe25a76e9ef0587ae21 | [
"CC-BY-4.0"
] | 1,127 | 2015-01-05T14:39:29.000Z | 2022-03-25T08:38:39.000Z | """
A simple, good-looking plot
===========================
Demoing some simple features of matplotlib
"""
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(5, 4), dpi=72)
axes = fig.add_axes([0.01, 0.01, .98, 0.98])
X = np.linspace(0, 2, 200)
Y = np... | 18.181818 | 44 | 0.625 |
43de29ccab29a96dd8a22a7b82fb926f80943d99 | 4,087 | py | Python | pfio/_context.py | HiroakiMikami/pfio | 1ac997dcba7babd5d91dd8c4f2793d27a6bab69b | [
"MIT"
] | 24 | 2020-05-23T13:00:27.000Z | 2022-02-17T05:20:51.000Z | pfio/_context.py | HiroakiMikami/pfio | 1ac997dcba7babd5d91dd8c4f2793d27a6bab69b | [
"MIT"
] | 88 | 2020-05-01T06:56:50.000Z | 2022-03-16T07:15:34.000Z | pfio/_context.py | HiroakiMikami/pfio | 1ac997dcba7babd5d91dd8c4f2793d27a6bab69b | [
"MIT"
] | 9 | 2020-05-07T05:47:35.000Z | 2022-02-09T05:42:56.000Z | import os
import re
from typing import Tuple
from pfio._typing import Union
from pfio.container import Container
from pfio.io import IO, create_fs_handler
| 35.232759 | 79 | 0.614387 |
43e09c3343b0c13466ea8190e66d19dfafb80ae6 | 9,330 | py | Python | parser/fase2/team19/Analisis_Ascendente/Instrucciones/PLPGSQL/Ifpl.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 35 | 2020-12-07T03:11:43.000Z | 2021-04-15T17:38:16.000Z | parser/fase2/team19/Analisis_Ascendente/Instrucciones/PLPGSQL/Ifpl.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 47 | 2020-12-09T01:29:09.000Z | 2021-01-13T05:37:50.000Z | parser/fase2/team19/Analisis_Ascendente/Instrucciones/PLPGSQL/Ifpl.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 556 | 2020-12-07T03:13:31.000Z | 2021-06-17T17:41:10.000Z | import Analisis_Ascendente.Instrucciones.PLPGSQL.EjecutarFuncion as EjecutarFuncion
from Analisis_Ascendente.Instrucciones.PLPGSQL.plasignacion import Plasignacion
from Analisis_Ascendente.Instrucciones.instruccion import Instruccion
from Analisis_Ascendente.Instrucciones.Create.createTable import CreateTable
from ... | 47.121212 | 111 | 0.653805 |
43e0bf1b8f706e0abd42a5ac8a65294eb668c3ab | 183 | py | Python | epages_client/dataobjects/enum_fetch_operator.py | vilkasgroup/epages_client | 10e63d957ee45dc5d4df741064806f724fb1be1f | [
"MIT"
] | 3 | 2018-01-26T13:44:26.000Z | 2020-05-13T13:58:19.000Z | epages_client/dataobjects/enum_fetch_operator.py | vilkasgroup/epages_client | 10e63d957ee45dc5d4df741064806f724fb1be1f | [
"MIT"
] | 53 | 2018-02-05T10:59:22.000Z | 2022-01-01T19:31:08.000Z | epages_client/dataobjects/enum_fetch_operator.py | vilkasgroup/epages_client | 10e63d957ee45dc5d4df741064806f724fb1be1f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 18.3 | 44 | 0.650273 |
43e232a6058aefed0715e6e5fea4ed4fd550c388 | 6,067 | py | Python | pyhwpscan/hwp_scan.py | orca-eaa5a/dokkaebi_scanner | 756314376e2cbbce6c03fd908ebd0b8cc27aa7fc | [
"MIT"
] | null | null | null | pyhwpscan/hwp_scan.py | orca-eaa5a/dokkaebi_scanner | 756314376e2cbbce6c03fd908ebd0b8cc27aa7fc | [
"MIT"
] | 1 | 2022-02-17T15:01:29.000Z | 2022-02-20T07:15:31.000Z | pyhwpscan/hwp_scan.py | orca-eaa5a/dokkaebi_scanner | 756314376e2cbbce6c03fd908ebd0b8cc27aa7fc | [
"MIT"
] | null | null | null | from threading import current_thread
from jsbeautifier.javascript.beautifier import remove_redundant_indentation
from pyparser.oleparser import OleParser
from pyparser.hwp_parser import HwpParser
from scan.init_scan import init_hwp5_scan
from scan.bindata_scanner import BinData_Scanner
from scan.jscript_scanner import... | 29.309179 | 102 | 0.543926 |
43e2d67fdf43b1951abb85a9aaab6711fb8852be | 1,132 | py | Python | tests/core/test_plugins.py | franalgaba/nile | f771467f27f03c8d20b8032bac64b3ab60436d3c | [
"MIT"
] | null | null | null | tests/core/test_plugins.py | franalgaba/nile | f771467f27f03c8d20b8032bac64b3ab60436d3c | [
"MIT"
] | null | null | null | tests/core/test_plugins.py | franalgaba/nile | f771467f27f03c8d20b8032bac64b3ab60436d3c | [
"MIT"
] | null | null | null | """
Tests for plugins in core module.
Only unit tests for now.
"""
from unittest.mock import patch
import click
from nile.core.plugins import get_installed_plugins, load_plugins, skip_click_exit
| 22.64 | 82 | 0.681095 |
43e3929f6d656cd5f3e6cf6054493ace5b92bd70 | 1,255 | py | Python | history/tests.py | MPIB/Lagerregal | 3c950dffcf4fa164008c5a304c4839bc282a3388 | [
"BSD-3-Clause"
] | 24 | 2017-03-19T16:17:37.000Z | 2021-11-07T15:35:33.000Z | history/tests.py | MPIB/Lagerregal | 3c950dffcf4fa164008c5a304c4839bc282a3388 | [
"BSD-3-Clause"
] | 117 | 2016-04-19T12:35:10.000Z | 2022-02-22T13:19:05.000Z | history/tests.py | MPIB/Lagerregal | 3c950dffcf4fa164008c5a304c4839bc282a3388 | [
"BSD-3-Clause"
] | 11 | 2017-08-08T12:11:39.000Z | 2021-12-08T05:34:06.000Z | from django.contrib.contenttypes.models import ContentType
from django.test import TestCase
from django.test.client import Client
from model_mommy import mommy
from devices.models import Device
from users.models import Lageruser
| 34.861111 | 88 | 0.67251 |
78d8d23f31a9ec6e42dd56f7cc23f8c31fbd70c2 | 376 | py | Python | django_git_info/management/commands/get_git_info.py | spapas/django-git | a62215d315263bce5d5d0afcfa14152601f76901 | [
"MIT"
] | 1 | 2019-03-15T10:32:21.000Z | 2019-03-15T10:32:21.000Z | django_git_info/management/commands/get_git_info.py | spapas/django-git | a62215d315263bce5d5d0afcfa14152601f76901 | [
"MIT"
] | null | null | null | django_git_info/management/commands/get_git_info.py | spapas/django-git | a62215d315263bce5d5d0afcfa14152601f76901 | [
"MIT"
] | 1 | 2016-03-25T03:57:49.000Z | 2016-03-25T03:57:49.000Z | # -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand, CommandError
from django_git_info import get_git_info
| 26.857143 | 65 | 0.656915 |
78db0363110019cfe555b18f1fdc95de024b7945 | 19,306 | py | Python | mevis/_internal/conversion.py | robert-haas/mevis | 1bbf8dfb56aa8fc52b8f38c570ee7b2d2a9d3327 | [
"Apache-2.0"
] | 2 | 2022-01-12T23:08:52.000Z | 2022-01-12T23:21:23.000Z | mevis/_internal/conversion.py | robert-haas/mevis | 1bbf8dfb56aa8fc52b8f38c570ee7b2d2a9d3327 | [
"Apache-2.0"
] | null | null | null | mevis/_internal/conversion.py | robert-haas/mevis | 1bbf8dfb56aa8fc52b8f38c570ee7b2d2a9d3327 | [
"Apache-2.0"
] | null | null | null | from collections.abc import Callable as _Callable
import networkx as _nx
from opencog.type_constructors import AtomSpace as _AtomSpace
from .args import check_arg as _check_arg
def convert(data, graph_annotated=True, graph_directed=True,
node_label=None, node_color=None, node_opacity=None, node_size=Non... | 38.923387 | 97 | 0.682897 |
78db1f0ed3fd45150eca94cbff8fdb625dd1d917 | 156 | py | Python | testData/completion/classMethodCls.py | seandstewart/typical-pycharm-plugin | 4f6ec99766239421201faae9d75c32fa0ee3565a | [
"MIT"
] | null | null | null | testData/completion/classMethodCls.py | seandstewart/typical-pycharm-plugin | 4f6ec99766239421201faae9d75c32fa0ee3565a | [
"MIT"
] | null | null | null | testData/completion/classMethodCls.py | seandstewart/typical-pycharm-plugin | 4f6ec99766239421201faae9d75c32fa0ee3565a | [
"MIT"
] | null | null | null | from builtins import *
from pydantic import BaseModel
| 11.142857 | 30 | 0.647436 |
78db3efa5c77dd290cf1467f8ac973b8fc19949b | 13,168 | py | Python | watcher_metering/tests/agent/test_agent.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 2 | 2015-10-22T19:44:57.000Z | 2017-06-15T15:01:07.000Z | watcher_metering/tests/agent/test_agent.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 1 | 2015-10-26T13:52:58.000Z | 2015-10-26T13:52:58.000Z | watcher_metering/tests/agent/test_agent.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 4 | 2015-10-10T13:59:39.000Z | 2020-05-29T11:47:07.000Z | # -*- encoding: utf-8 -*-
# Copyright (c) 2015 b<>com
#
# 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... | 40.024316 | 79 | 0.659478 |
78dce9aa3f78b6fd58cffc69a08166742b99da9b | 31,044 | py | Python | mmtbx/bulk_solvent/mosaic.py | ndevenish/cctbx_project | 1f1a2627ae20d01d403f367948e7269cef0f0217 | [
"BSD-3-Clause-LBNL"
] | null | null | null | mmtbx/bulk_solvent/mosaic.py | ndevenish/cctbx_project | 1f1a2627ae20d01d403f367948e7269cef0f0217 | [
"BSD-3-Clause-LBNL"
] | null | null | null | mmtbx/bulk_solvent/mosaic.py | ndevenish/cctbx_project | 1f1a2627ae20d01d403f367948e7269cef0f0217 | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import absolute_import, division, print_function
from cctbx.array_family import flex
from scitbx import matrix
import math
from libtbx import adopt_init_args
import scitbx.lbfgs
from mmtbx.bulk_solvent import kbu_refinery
from cctbx import maptbx
import mmtbx.masks
import boost_adaptbx.boost.python as b... | 36.266355 | 107 | 0.60862 |
78ddef69c8c618801719da4ee218c45f1df458b0 | 25,941 | py | Python | mars/tensor/execution/tests/test_base_execute.py | lmatz/mars | 45f9166b54eb91b21e66cef8b590a41aa8ac9569 | [
"Apache-2.0"
] | 1 | 2018-12-26T08:37:04.000Z | 2018-12-26T08:37:04.000Z | mars/tensor/execution/tests/test_base_execute.py | lmatz/mars | 45f9166b54eb91b21e66cef8b590a41aa8ac9569 | [
"Apache-2.0"
] | null | null | null | mars/tensor/execution/tests/test_base_execute.py | lmatz/mars | 45f9166b54eb91b21e66cef8b590a41aa8ac9569 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2018 Alibaba Group Holding Ltd.
#
# 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-... | 34.132895 | 110 | 0.596623 |
78ddf0916f6002f2dfd416cfa16eaf9855682728 | 77 | py | Python | comix-imagenet/init_paths.py | drumpt/Co-Mixup | 4c43f0ec873ce6c1e8ab446c7cb9e25089b9b91a | [
"MIT"
] | 86 | 2021-02-05T03:13:09.000Z | 2022-03-29T03:10:50.000Z | comix-imagenet/init_paths.py | drumpt/Co-Mixup | 4c43f0ec873ce6c1e8ab446c7cb9e25089b9b91a | [
"MIT"
] | 4 | 2021-06-01T13:07:06.000Z | 2022-02-15T03:08:30.000Z | comix-imagenet/init_paths.py | drumpt/Co-Mixup | 4c43f0ec873ce6c1e8ab446c7cb9e25089b9b91a | [
"MIT"
] | 7 | 2021-02-09T01:27:03.000Z | 2021-09-01T14:07:40.000Z | import sys
import matplotlib
matplotlib.use('Agg')
sys.path.insert(0, 'lib')
| 15.4 | 25 | 0.753247 |
78de98de938be5cc3ac224e5095778425f0adabc | 14,828 | py | Python | members_abundances_in_out_uncertainties.py | kcotar/Gaia_clusters_potential | aee2658c40446891d31528f8dec3cec899b63c68 | [
"MIT"
] | null | null | null | members_abundances_in_out_uncertainties.py | kcotar/Gaia_clusters_potential | aee2658c40446891d31528f8dec3cec899b63c68 | [
"MIT"
] | null | null | null | members_abundances_in_out_uncertainties.py | kcotar/Gaia_clusters_potential | aee2658c40446891d31528f8dec3cec899b63c68 | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
from glob import glob
from astropy.table import Table, join
from os import chdir, system
from scipy.stats import norm as gauss_norm
from sys import argv
from getopt import getopt
# turn off polyfit ranking warnings
import warnin... | 43.740413 | 215 | 0.55874 |
78df11b8ab67a00fef993f03b911ed0dd7fc3180 | 707 | py | Python | src/python_minifier/transforms/remove_pass.py | donno2048/python-minifier | 9a9ff4dd5d2bb8dc666cae5939c125d420c2ffd5 | [
"MIT"
] | null | null | null | src/python_minifier/transforms/remove_pass.py | donno2048/python-minifier | 9a9ff4dd5d2bb8dc666cae5939c125d420c2ffd5 | [
"MIT"
] | null | null | null | src/python_minifier/transforms/remove_pass.py | donno2048/python-minifier | 9a9ff4dd5d2bb8dc666cae5939c125d420c2ffd5 | [
"MIT"
] | null | null | null | import ast
from python_minifier.transforms.suite_transformer import SuiteTransformer
| 27.192308 | 106 | 0.649222 |
78df4f62738c15a3903b9ac814a118e7bd487166 | 1,214 | py | Python | test/tests.py | gzu300/Linear_Algebra | 437a285b0230f4da8b0573b04da32ee965b09233 | [
"MIT"
] | null | null | null | test/tests.py | gzu300/Linear_Algebra | 437a285b0230f4da8b0573b04da32ee965b09233 | [
"MIT"
] | null | null | null | test/tests.py | gzu300/Linear_Algebra | 437a285b0230f4da8b0573b04da32ee965b09233 | [
"MIT"
] | null | null | null | import unittest
from pkg import Linear_Algebra
import numpy as np
if __name__ == '__main__':
unittest.main() | 41.862069 | 128 | 0.629325 |
78e0a22b8b4b6603603bcdb8feefa51265cf9c14 | 345 | py | Python | src/backend/common/models/favorite.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 266 | 2015-01-04T00:10:48.000Z | 2022-03-28T18:42:05.000Z | src/backend/common/models/favorite.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 2,673 | 2015-01-01T20:14:33.000Z | 2022-03-31T18:17:16.000Z | src/backend/common/models/favorite.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 230 | 2015-01-04T00:10:48.000Z | 2022-03-26T18:12:04.000Z | from backend.common.models.mytba import MyTBAModel
| 28.75 | 77 | 0.704348 |
78e27b1810b0eb666d13182e83f2f3c881794f6e | 17,296 | py | Python | Cartwheel/lib/Python26/Lib/site-packages/wx-2.8-msw-unicode/wx/lib/filebrowsebutton.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | 27 | 2020-11-12T19:24:54.000Z | 2022-03-27T23:10:45.000Z | Cartwheel/lib/Python26/Lib/site-packages/wx-2.8-msw-unicode/wx/lib/filebrowsebutton.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | 2 | 2020-11-02T06:30:39.000Z | 2022-02-23T18:39:55.000Z | Cartwheel/lib/Python26/Lib/site-packages/wx-2.8-msw-unicode/wx/lib/filebrowsebutton.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | 3 | 2021-08-16T00:21:08.000Z | 2022-02-23T19:19:36.000Z | #----------------------------------------------------------------------
# Name: wxPython.lib.filebrowsebutton
# Purpose: Composite controls that provide a Browse button next to
# either a wxTextCtrl or a wxComboBox. The Browse button
# launches a wxFileDialog and loads the result i... | 36.721868 | 95 | 0.566142 |
78e3235c058d0f0d01fe78bcda45b0e5210cc956 | 3,798 | py | Python | modules/pygsm/devicewrapper.py | whanderley/eden | 08ced3be3d52352c54cbd412ed86128fbb68b1d2 | [
"MIT"
] | 205 | 2015-01-20T08:26:09.000Z | 2022-03-27T19:59:33.000Z | modules/pygsm/devicewrapper.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | 249 | 2015-02-10T09:56:35.000Z | 2022-03-23T19:54:36.000Z | modules/pygsm/devicewrapper.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | 231 | 2015-02-10T09:33:17.000Z | 2022-02-18T19:56:05.000Z | #!/usr/bin/env python
# vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
# arch: pacman -S python-pyserial
# debian/ubuntu: apt-get install python-serial
import serial
import re
import errors | 35.166667 | 84 | 0.561611 |
78e3d8480adc030df86059c4a34f7c8aad96d287 | 306 | py | Python | day1/loops.py | alqmy/The-Garage-Summer-Of-Code | af310d5e5194a62962db2fc1e601099468251efa | [
"MIT"
] | null | null | null | day1/loops.py | alqmy/The-Garage-Summer-Of-Code | af310d5e5194a62962db2fc1e601099468251efa | [
"MIT"
] | null | null | null | day1/loops.py | alqmy/The-Garage-Summer-Of-Code | af310d5e5194a62962db2fc1e601099468251efa | [
"MIT"
] | null | null | null | # while True:
# # ejecuta esto
# print("Hola")
real = 7
print("Entre un numero entre el 1 y el 10")
guess = int(input())
# =/=
while guess != real:
print("Ese no es el numero")
print("Entre un numero entre el 1 y el 10")
guess = int(input())
# el resto
print("Yay! Lo sacastes!")
| 16.105263 | 47 | 0.591503 |
78e51986ef4ee9e7c7af6f2a83426baeaab981b9 | 1,426 | py | Python | pentest-scripts/learning-python-for-forensics/Chapter 6/rot13.py | paulveillard/cybersecurity-penetration-testing | a5afff13ec25afd0cf16ef966d35bddb91518af4 | [
"Apache-2.0"
] | 6 | 2021-12-07T21:02:12.000Z | 2022-03-03T12:08:14.000Z | pentest-scripts/learning-python-for-forensics/Chapter 6/rot13.py | paulveillard/cybersecurity-penetration-testing | a5afff13ec25afd0cf16ef966d35bddb91518af4 | [
"Apache-2.0"
] | null | null | null | pentest-scripts/learning-python-for-forensics/Chapter 6/rot13.py | paulveillard/cybersecurity-penetration-testing | a5afff13ec25afd0cf16ef966d35bddb91518af4 | [
"Apache-2.0"
] | 1 | 2022-01-15T23:57:36.000Z | 2022-01-15T23:57:36.000Z | def rotCode(data):
"""
The rotCode function encodes/decodes data using string indexing
:param data: A string
:return: The rot-13 encoded/decoded string
"""
rot_chars = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
'n', 'o', 'p', 'q', 'r', 's', 't', '... | 33.162791 | 90 | 0.47756 |
78e6e9a7d73aab5ad3ba5822b10f0996d16afd5b | 1,762 | py | Python | examples/sim_tfidf.py | sunyilgdx/CwVW-SIF | 85ef56d80512e2f6bff1266e030552075566b240 | [
"MIT"
] | 12 | 2019-05-14T10:31:53.000Z | 2022-01-20T17:16:59.000Z | examples/sim_tfidf.py | sunyilgdx/CwVW-SIF | 85ef56d80512e2f6bff1266e030552075566b240 | [
"MIT"
] | null | null | null | examples/sim_tfidf.py | sunyilgdx/CwVW-SIF | 85ef56d80512e2f6bff1266e030552075566b240 | [
"MIT"
] | 1 | 2020-12-21T09:16:51.000Z | 2020-12-21T09:16:51.000Z | import pickle, sys
sys.path.append('../src')
import data_io, sim_algo, eval, params
## run
# wordfiles = [#'../data/paragram_sl999_small.txt', # need to download it from John Wieting's github (https://github.com/jwieting/iclr2016)
# '../data/glove.840B.300d.txt' # need to download it first
# ]
wordfiles = [#... | 39.155556 | 139 | 0.685585 |
78e748ebc4d60824e0cdf86518ddf127e1b97b2b | 120 | py | Python | tests/cases/cls.py | div72/py2many | 60277bc13597bd32d078b88a7390715568115fc6 | [
"MIT"
] | 345 | 2021-01-28T17:33:08.000Z | 2022-03-25T16:07:56.000Z | tests/cases/cls.py | mkos11/py2many | be6cfaad5af32c43eb24f182cb20ad63b979d4ef | [
"MIT"
] | 291 | 2021-01-31T13:15:06.000Z | 2022-03-23T21:28:49.000Z | tests/cases/cls.py | mkos11/py2many | be6cfaad5af32c43eb24f182cb20ad63b979d4ef | [
"MIT"
] | 23 | 2021-02-09T17:15:03.000Z | 2022-02-03T05:57:44.000Z |
if __name__ == "__main__":
f = Foo()
b = f.bar()
print(b) | 13.333333 | 26 | 0.483333 |
78e74ab110d94c6516104012ed887badd152a66c | 1,602 | py | Python | theano-rfnn/mnist_loader.py | jhja/RFNN | a63641d6e584df743a5e0a9efaf41911f057a977 | [
"MIT"
] | 55 | 2016-05-11T18:53:30.000Z | 2022-02-22T12:31:08.000Z | theano-rfnn/mnist_loader.py | jhja/RFNN | a63641d6e584df743a5e0a9efaf41911f057a977 | [
"MIT"
] | null | null | null | theano-rfnn/mnist_loader.py | jhja/RFNN | a63641d6e584df743a5e0a9efaf41911f057a977 | [
"MIT"
] | 14 | 2016-08-16T02:00:47.000Z | 2022-03-08T13:16:00.000Z | import numpy as np
import os
from random import shuffle
datasets_dir = './../data/'
| 26.262295 | 63 | 0.624844 |
78e7d5ba18b9d335d132f7d6ec0d73b6ca3d020d | 686 | py | Python | Ejercicio 2.py | crltsnch/Ejercicios-grupales | 72e01d6489816ea1b9308af1abd62792e5464c93 | [
"Apache-2.0"
] | null | null | null | Ejercicio 2.py | crltsnch/Ejercicios-grupales | 72e01d6489816ea1b9308af1abd62792e5464c93 | [
"Apache-2.0"
] | null | null | null | Ejercicio 2.py | crltsnch/Ejercicios-grupales | 72e01d6489816ea1b9308af1abd62792e5464c93 | [
"Apache-2.0"
] | null | null | null | import math
import os
import random
import re
import sys
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'] + 'solucion2.txt', 'w')
print("Escribe las notas de a")
a = list(map(int, input().rstrip().split()))
print("Escribe las notas de b")
b = list(map(int, input().rstrip().sp... | 21.4375 | 65 | 0.580175 |
78ed1b7fc24c0d300d3ad14111db8c17f3c020fd | 5,401 | py | Python | app/routes/router.py | nityagautam/ReportDashboard-backend | d23fe008cb0df6a703fcd665181897a75b71d5b2 | [
"MIT"
] | 1 | 2021-05-06T09:48:46.000Z | 2021-05-06T09:48:46.000Z | app/routes/router.py | nityagautam/ReportDashboard | d23fe008cb0df6a703fcd665181897a75b71d5b2 | [
"MIT"
] | 2 | 2021-09-09T05:34:33.000Z | 2021-12-13T15:31:36.000Z | app/routes/router.py | nityagautam/ReportDashboard | d23fe008cb0df6a703fcd665181897a75b71d5b2 | [
"MIT"
] | null | null | null | #===============================================================
# @author: nityanarayan44@live.com
# @written: 08 December 2021
# @desc: Routes for the Backend server
#===============================================================
# Import section with referecne of entry file or main file;
from __main__ i... | 38.035211 | 99 | 0.549713 |
78eed98843af7c2acb54d95dbb60b3f984e9337b | 15,624 | py | Python | idaes/generic_models/properties/core/examples/ASU_PR.py | carldlaird/idaes-pse | cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f | [
"RSA-MD"
] | 112 | 2019-02-11T23:16:36.000Z | 2022-03-23T20:59:57.000Z | idaes/generic_models/properties/core/examples/ASU_PR.py | carldlaird/idaes-pse | cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f | [
"RSA-MD"
] | 621 | 2019-03-01T14:44:12.000Z | 2022-03-31T19:49:25.000Z | idaes/generic_models/properties/core/examples/ASU_PR.py | carldlaird/idaes-pse | cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f | [
"RSA-MD"
] | 154 | 2019-02-01T23:46:33.000Z | 2022-03-23T15:07:10.000Z | #################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021
# by the softwar... | 51.394737 | 91 | 0.473374 |
78efdc29bbe17ba841a42c2ad2e6e9e8b6de242a | 34 | py | Python | tests/functional/test_calculator.py | bellanov/calculator | a66e68a368a5212247aeff3291c9cb8b508e91be | [
"Apache-2.0"
] | null | null | null | tests/functional/test_calculator.py | bellanov/calculator | a66e68a368a5212247aeff3291c9cb8b508e91be | [
"Apache-2.0"
] | null | null | null | tests/functional/test_calculator.py | bellanov/calculator | a66e68a368a5212247aeff3291c9cb8b508e91be | [
"Apache-2.0"
] | 1 | 2021-05-26T16:54:17.000Z | 2021-05-26T16:54:17.000Z | """TODO: Move the Threads Here"""
| 17 | 33 | 0.647059 |
78f03cf1af94e18c9a855dfd8bbdda1565566674 | 17,569 | py | Python | autokeras/hypermodel/graph.py | Sette/autokeras | c5a83607a899ad545916b3794561d6908d9cdbac | [
"MIT"
] | null | null | null | autokeras/hypermodel/graph.py | Sette/autokeras | c5a83607a899ad545916b3794561d6908d9cdbac | [
"MIT"
] | null | null | null | autokeras/hypermodel/graph.py | Sette/autokeras | c5a83607a899ad545916b3794561d6908d9cdbac | [
"MIT"
] | null | null | null | import functools
import pickle
import kerastuner
import tensorflow as tf
from tensorflow.python.util import nest
from autokeras.hypermodel import base
from autokeras.hypermodel import compiler
def copy(old_instance):
instance = old_instance.__class__()
instance.set_state(old_instance.get_state())
re... | 37.620985 | 85 | 0.594001 |
78f06ac9567797f0104f062bd9b9ac12e57cffa6 | 474 | py | Python | Python/longest-valid-parentheses.py | shreyventure/LeetCode-Solutions | 74423d65702b78974e390f17c9d6365d17e6eed5 | [
"MIT"
] | 388 | 2020-06-29T08:41:27.000Z | 2022-03-31T22:55:05.000Z | Python/longest-valid-parentheses.py | shreyventure/LeetCode-Solutions | 74423d65702b78974e390f17c9d6365d17e6eed5 | [
"MIT"
] | 178 | 2020-07-16T17:15:28.000Z | 2022-03-09T21:01:50.000Z | Python/longest-valid-parentheses.py | shreyventure/LeetCode-Solutions | 74423d65702b78974e390f17c9d6365d17e6eed5 | [
"MIT"
] | 263 | 2020-07-13T18:33:20.000Z | 2022-03-28T13:54:10.000Z | '''
Speed: 95.97%
Memory: 24.96%
Time complexity: O(n)
Space complexity: O(n)
''' | 23.7 | 44 | 0.436709 |
78f17ff49e114c184b6a1474d4e3188bcdc4d56c | 447 | py | Python | setup.py | i25ffz/openaes | a0dbde40d4ce0e4186ea14c4dc9519fe152c018c | [
"BSD-2-Clause"
] | null | null | null | setup.py | i25ffz/openaes | a0dbde40d4ce0e4186ea14c4dc9519fe152c018c | [
"BSD-2-Clause"
] | null | null | null | setup.py | i25ffz/openaes | a0dbde40d4ce0e4186ea14c4dc9519fe152c018c | [
"BSD-2-Clause"
] | null | null | null | from distutils.core import setup, Extension
import os.path
kw = {
'name':"PyOpenAES",
'version':"0.10.0",
'description':"OpenAES cryptographic library for Python.",
'ext_modules':[
Extension(
'openaes',
include_dirs = ['inc', 'src/isaac'],
# define_macros=[('ENABLE_PYTHON', '1')],
sources = [
os.... | 20.318182 | 59 | 0.624161 |
78f2293017d6edca3048eb7b10371f7d73e4c830 | 967 | py | Python | examples/isosurface_demo2.py | jayvdb/scitools | 8df53a3a3bc95377f9fa85c04f3a329a0ec33e67 | [
"BSD-3-Clause"
] | 62 | 2015-03-28T18:07:51.000Z | 2022-02-12T20:32:36.000Z | examples/isosurface_demo2.py | jayvdb/scitools | 8df53a3a3bc95377f9fa85c04f3a329a0ec33e67 | [
"BSD-3-Clause"
] | 7 | 2015-06-09T09:56:03.000Z | 2021-05-20T17:53:15.000Z | examples/isosurface_demo2.py | jayvdb/scitools | 8df53a3a3bc95377f9fa85c04f3a329a0ec33e67 | [
"BSD-3-Clause"
] | 29 | 2015-04-16T03:48:57.000Z | 2022-02-03T22:06:52.000Z | #!/usr/bin/env python
# Example taken from:
# http://www.mathworks.com/access/helpdesk/help/techdoc/visualize/f5-3371.html
from scitools.easyviz import *
from time import sleep
from scipy import io
setp(interactive=False)
# Displaying an Isosurface:
mri = io.loadmat('mri_matlab_v6.mat')
D = mri['D']
#Ds = smooth3(D... | 20.574468 | 78 | 0.701138 |
78f2658f7e058410b484a9d45fd69949bca2813c | 4,099 | py | Python | structural_model/util_morphology.py | zibneuro/udvary-et-al-2022 | 8b456c41e72958677cb6035028d9c23013cb7c7e | [
"MIT"
] | 1 | 2022-03-11T13:43:50.000Z | 2022-03-11T13:43:50.000Z | structural_model/util_morphology.py | zibneuro/udvary-et-al-2022 | 8b456c41e72958677cb6035028d9c23013cb7c7e | [
"MIT"
] | null | null | null | structural_model/util_morphology.py | zibneuro/udvary-et-al-2022 | 8b456c41e72958677cb6035028d9c23013cb7c7e | [
"MIT"
] | null | null | null | import os
import numpy as np
import json
import util_amira
| 32.275591 | 138 | 0.613808 |
78f33bf3b80a0a0d98e998f783441284fa1b3068 | 3,503 | py | Python | invenio_madmp/views.py | FAIR-Data-Austria/invenio-madmp | 74372ee794f81666f5e9cf08ef448c21b2e428be | [
"MIT"
] | 1 | 2022-03-02T10:37:29.000Z | 2022-03-02T10:37:29.000Z | invenio_madmp/views.py | FAIR-Data-Austria/invenio-madmp | 74372ee794f81666f5e9cf08ef448c21b2e428be | [
"MIT"
] | 9 | 2020-08-25T12:03:08.000Z | 2020-10-20T11:45:32.000Z | invenio_madmp/views.py | FAIR-Data-Austria/invenio-madmp | 74372ee794f81666f5e9cf08ef448c21b2e428be | [
"MIT"
] | null | null | null | """Blueprint definitions for maDMP integration."""
from flask import Blueprint, jsonify, request
from invenio_db import db
from .convert import convert_dmp
from .models import DataManagementPlan
def _summarize_dmp(dmp: DataManagementPlan) -> dict:
"""Create a summary dictionary for the given DMP."""
res = {... | 35.744898 | 87 | 0.643163 |
78f362e6e499abd6ba76d1b520e7369bf25061c9 | 257 | py | Python | retrieval/urls.py | aipassio/visual_retrieval | ce8dae2ad517a9edb5e278163dd6d0f7ffc1b5f4 | [
"MIT"
] | null | null | null | retrieval/urls.py | aipassio/visual_retrieval | ce8dae2ad517a9edb5e278163dd6d0f7ffc1b5f4 | [
"MIT"
] | null | null | null | retrieval/urls.py | aipassio/visual_retrieval | ce8dae2ad517a9edb5e278163dd6d0f7ffc1b5f4 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('retrieval_insert', views.retrieval_insert, name='retrieval_insert'),
path('retrieval_get', views.retrieval_get, name='retrieval_get')
] | 28.555556 | 78 | 0.723735 |
78f3cd314838c8b00373f5ff15a91db4a0e4e749 | 1,427 | py | Python | scripts/Interfacing/encoder_class.py | noshluk2/Wifi-Signal-Robot-localization | 538e6c4e7a63486f22ab708908c476cd808f720c | [
"MIT"
] | null | null | null | scripts/Interfacing/encoder_class.py | noshluk2/Wifi-Signal-Robot-localization | 538e6c4e7a63486f22ab708908c476cd808f720c | [
"MIT"
] | null | null | null | scripts/Interfacing/encoder_class.py | noshluk2/Wifi-Signal-Robot-localization | 538e6c4e7a63486f22ab708908c476cd808f720c | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import threading
# r_en_a = 27
# r_en_b = 10
# l_en_a = 5
# l_en_b = 6
# enc_obj = Encoder(27,10,5,6)
# def update_encoders():
# threading.Timer(1,update_encoders).start()
# print(" looping ")
# update_encoders() | 26.425926 | 75 | 0.618781 |
78f527fe8104b4c467eef06ba01999f8a1c7339e | 2,286 | py | Python | systori/apps/equipment/urls.py | systori/systori | e309c63e735079ff6032fdaf1db354ec872b28b1 | [
"BSD-3-Clause"
] | 12 | 2018-01-30T00:44:06.000Z | 2020-07-13T05:20:48.000Z | systori/apps/equipment/urls.py | systori/systori | e309c63e735079ff6032fdaf1db354ec872b28b1 | [
"BSD-3-Clause"
] | 36 | 2018-03-06T17:49:50.000Z | 2020-06-23T19:26:00.000Z | systori/apps/equipment/urls.py | systori/systori | e309c63e735079ff6032fdaf1db354ec872b28b1 | [
"BSD-3-Clause"
] | 3 | 2018-08-03T07:03:09.000Z | 2020-07-09T20:21:10.000Z | from django.conf.urls import url
from django.urls import path, include
from systori.apps.user.authorization import office_auth
from systori.apps.equipment.views import EquipmentListView, EquipmentView, EquipmentCreate, EquipmentDelete, EquipmentUpdate, RefuelingStopCreate, RefuelingStopDelete, RefuelingStopUpdate, Mai... | 33.130435 | 244 | 0.624672 |
78f5546c49c417508d26fa0f809340459987fc66 | 13,697 | py | Python | paddlehub/module/check_info_pb2.py | MRXLT/PaddleHub | a9cd941bef2ac5a2d81b2f20422a4fbd9a87eb90 | [
"Apache-2.0"
] | 1 | 2019-07-03T13:08:39.000Z | 2019-07-03T13:08:39.000Z | paddlehub/module/check_info_pb2.py | binweiwu/PaddleHub | f92d0edd18057044ef248d7f2c42d8f347b62fbf | [
"Apache-2.0"
] | null | null | null | paddlehub/module/check_info_pb2.py | binweiwu/PaddleHub | f92d0edd18057044ef248d7f2c42d8f347b62fbf | [
"Apache-2.0"
] | null | null | null | #coding:utf-8
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: check_info.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protob... | 33.653563 | 1,160 | 0.611083 |
78f57ad1256f2c324b8101344d3e6ef85566b84c | 632 | py | Python | 40_3.py | rursvd/pynumerical2 | 4b2d33125b64a39099ac8eddef885e0ea11b237d | [
"MIT"
] | null | null | null | 40_3.py | rursvd/pynumerical2 | 4b2d33125b64a39099ac8eddef885e0ea11b237d | [
"MIT"
] | null | null | null | 40_3.py | rursvd/pynumerical2 | 4b2d33125b64a39099ac8eddef885e0ea11b237d | [
"MIT"
] | 1 | 2019-12-03T01:34:19.000Z | 2019-12-03T01:34:19.000Z | from numpy import zeros
# Define ab2 function
# Define functions
# Set initial conditions
t0 = 0.0
tf = 1.0
y0 = 1.0
n = 5
# Execute AB2
t, yab2 = ab2(f,t0,tf,y0,n)
# Print results
print("%5s %8s" % ('t','y'))
for i in range(n+1):
print("%8.4f %8.4f" % (t[i],yab2[i]))
| 18.588235 | 83 | 0.463608 |
78f5d63c04bc9e40555fc089be45ac3e10cbd62a | 40,331 | py | Python | test/test_parse_cs.py | NeonDaniel/lingua-franca | eee95702016b4013b0d81dc74da98cd2d2f53358 | [
"Apache-2.0"
] | null | null | null | test/test_parse_cs.py | NeonDaniel/lingua-franca | eee95702016b4013b0d81dc74da98cd2d2f53358 | [
"Apache-2.0"
] | null | null | null | test/test_parse_cs.py | NeonDaniel/lingua-franca | eee95702016b4013b0d81dc74da98cd2d2f53358 | [
"Apache-2.0"
] | 1 | 2020-09-22T12:39:17.000Z | 2020-09-22T12:39:17.000Z | #
# Copyright 2017 Mycroft AI 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 or agreed to in writ... | 54.208333 | 114 | 0.564851 |
78f63355867462f1a454c939b07a72f40e12bd55 | 955 | py | Python | src/net/pluto_ftp.py | WardenAllen/Uranus | 0d20cac631320b558254992c17678ddd1658587b | [
"MIT"
] | null | null | null | src/net/pluto_ftp.py | WardenAllen/Uranus | 0d20cac631320b558254992c17678ddd1658587b | [
"MIT"
] | null | null | null | src/net/pluto_ftp.py | WardenAllen/Uranus | 0d20cac631320b558254992c17678ddd1658587b | [
"MIT"
] | null | null | null | # !/usr/bin/python
# -*- coding: utf-8 -*-
# @Time : 2020/9/18 12:02
# @Author : WardenAllen
# @File : pluto_ftp.py
# @Brief :
import paramiko | 31.833333 | 73 | 0.655497 |
78f6f92a5932a9d711316ff3341b072e7d33ca29 | 99 | py | Python | piped/processors/test/__init__.py | alexbrasetvik/Piped | 0312c14d6c4c293df378c915cc9787bcc7faed36 | [
"MIT"
] | 3 | 2015-02-12T20:34:30.000Z | 2016-08-06T06:54:48.000Z | piped/processors/test/__init__.py | alexbrasetvik/Piped | 0312c14d6c4c293df378c915cc9787bcc7faed36 | [
"MIT"
] | null | null | null | piped/processors/test/__init__.py | alexbrasetvik/Piped | 0312c14d6c4c293df378c915cc9787bcc7faed36 | [
"MIT"
] | 2 | 2015-12-16T14:18:14.000Z | 2019-04-12T01:43:10.000Z | # Copyright (c) 2010-2011, Found IT A/S and Piped Project Contributors.
# See LICENSE for details.
| 33 | 71 | 0.747475 |
78f83610f02792ce2cf026a72886ebff9b5ef71f | 579 | py | Python | assistance_bot/app.py | reakfog/personal_computer_voice_assistant | 3483f633c57cd2e930f94bcbda9739cde34525aa | [
"BSD-3-Clause"
] | null | null | null | assistance_bot/app.py | reakfog/personal_computer_voice_assistant | 3483f633c57cd2e930f94bcbda9739cde34525aa | [
"BSD-3-Clause"
] | null | null | null | assistance_bot/app.py | reakfog/personal_computer_voice_assistant | 3483f633c57cd2e930f94bcbda9739cde34525aa | [
"BSD-3-Clause"
] | 2 | 2021-07-26T20:22:31.000Z | 2021-07-29T12:58:03.000Z | import sys
sys.path = ['', '..'] + sys.path[1:]
import daemon
from assistance_bot import core
from functionality.voice_processing import speaking, listening
from functionality.commands import *
if __name__ == '__main__':
speaking.setup_assistant_voice(core.ttsEngine, core.assistant)
while True:
# st... | 32.166667 | 75 | 0.723661 |
78f942b69039b6e57cce7169cc8dc3ffec50e359 | 107 | py | Python | python/testData/resolve/AssignmentExpressionsAndOuterVar.py | tgodzik/intellij-community | f5ef4191fc30b69db945633951fb160c1cfb7b6f | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/resolve/AssignmentExpressionsAndOuterVar.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2022-02-19T09:45:05.000Z | 2022-02-27T20:32:55.000Z | python/testData/resolve/AssignmentExpressionsAndOuterVar.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | total = 0
partial_sums = [total := total + v for v in values]
print("Total:", total)
<ref> | 26.75 | 51 | 0.551402 |
78fa9f898e64c035eed240732e89631cf36a87b3 | 18,049 | py | Python | exhale/deploy.py | florianhumblot/exhale | d6fa84fa32ee079c6b70898a1b0863a38e703591 | [
"BSD-3-Clause"
] | null | null | null | exhale/deploy.py | florianhumblot/exhale | d6fa84fa32ee079c6b70898a1b0863a38e703591 | [
"BSD-3-Clause"
] | null | null | null | exhale/deploy.py | florianhumblot/exhale | d6fa84fa32ee079c6b70898a1b0863a38e703591 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf8 -*-
########################################################################################
# This file is part of exhale. Copyright (c) 2017-2022, Stephen McDowell. #
# Full BSD 3-Clause license available here: #
# ... | 42.468235 | 106 | 0.588066 |
78fb0646e467b92a38f001788a56ced3c1f8a48d | 3,816 | py | Python | src/bayesian_reliability_comparison.py | rloganiv/bayesian-blackbox | 6a111553200b6aa755149e08174abe1a61d37198 | [
"MIT"
] | 8 | 2019-12-23T13:27:15.000Z | 2021-12-01T13:33:34.000Z | src/bayesian_reliability_comparison.py | rloganiv/bayesian-blackbox | 6a111553200b6aa755149e08174abe1a61d37198 | [
"MIT"
] | 11 | 2020-03-31T11:06:55.000Z | 2022-02-10T00:39:33.000Z | src/bayesian_reliability_comparison.py | disiji/bayesian-blackbox | 6a111553200b6aa755149e08174abe1a61d37198 | [
"MIT"
] | 2 | 2020-01-24T10:21:57.000Z | 2020-02-22T04:41:14.000Z | import argparse
import multiprocessing
import os
import random
import numpy as np
from data_utils import DATAFILE_LIST, DATASET_LIST, prepare_data, RESULTS_DIR
from models import SumOfBetaEce
random.seed(2020)
num_cores = multiprocessing.cpu_count()
NUM_BINS = 10
NUM_RUNS = 100
N_list = [100, 200, 500, 1000, 2000, 5... | 41.032258 | 120 | 0.70152 |
78fbbb7e97d40f03f6fe9dcf3d1d397ff5d9dbb9 | 29,044 | py | Python | psyneulink/core/components/functions/statefulfunctions/statefulfunction.py | SamKG/PsyNeuLink | 70558bcd870868e1688cb7a7c424d29ca336f2df | [
"Apache-2.0"
] | null | null | null | psyneulink/core/components/functions/statefulfunctions/statefulfunction.py | SamKG/PsyNeuLink | 70558bcd870868e1688cb7a7c424d29ca336f2df | [
"Apache-2.0"
] | 77 | 2020-10-01T06:27:19.000Z | 2022-03-31T02:03:33.000Z | psyneulink/core/components/functions/statefulfunctions/statefulfunction.py | SamKG/PsyNeuLink | 70558bcd870868e1688cb7a7c424d29ca336f2df | [
"Apache-2.0"
] | null | null | null | #
# Princeton University licenses this file to You 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 writ... | 48.895623 | 168 | 0.596302 |
78fc7bd4cfef4c55a9ccedee325481258419cb94 | 11,929 | py | Python | ee/clickhouse/sql/person.py | wanderlog/posthog | a88b81d44ab31d262be07e84a85d045c4e28f2a3 | [
"MIT"
] | null | null | null | ee/clickhouse/sql/person.py | wanderlog/posthog | a88b81d44ab31d262be07e84a85d045c4e28f2a3 | [
"MIT"
] | null | null | null | ee/clickhouse/sql/person.py | wanderlog/posthog | a88b81d44ab31d262be07e84a85d045c4e28f2a3 | [
"MIT"
] | null | null | null | from ee.clickhouse.sql.clickhouse import KAFKA_COLUMNS, STORAGE_POLICY, kafka_engine
from ee.clickhouse.sql.table_engines import CollapsingMergeTree, ReplacingMergeTree
from ee.kafka_client.topics import KAFKA_PERSON, KAFKA_PERSON_DISTINCT_ID, KAFKA_PERSON_UNIQUE_ID
from posthog.settings import CLICKHOUSE_CLUSTER, CLIC... | 28.200946 | 206 | 0.748093 |
78fcfe3906cb71dfe94a77355e4db2bd1f039142 | 335 | py | Python | scripts/dump_training_data.py | davmre/sigvisa | 91a1f163b8f3a258dfb78d88a07f2a11da41bd04 | [
"BSD-3-Clause"
] | null | null | null | scripts/dump_training_data.py | davmre/sigvisa | 91a1f163b8f3a258dfb78d88a07f2a11da41bd04 | [
"BSD-3-Clause"
] | null | null | null | scripts/dump_training_data.py | davmre/sigvisa | 91a1f163b8f3a258dfb78d88a07f2a11da41bd04 | [
"BSD-3-Clause"
] | null | null | null | from sigvisa.learn.train_coda_models import get_shape_training_data
import numpy as np
X, y, evids = get_shape_training_data(runid=4, site="AS12", chan="SHZ", band="freq_2.0_3.0", phases=["P",], target="amp_transfer", max_acost=np.float("inf"), min_amp=-2)
np.savetxt("X.txt", X)
np.savetxt("y.txt", y)
np.savetxt("evid... | 41.875 | 169 | 0.728358 |
78fe8574d8b2d8646e13f689bf2f902a5d2ca204 | 2,637 | py | Python | shdw/tools/welford.py | wbrandenburger/ShadowDetection | 2a58df93e32e8baf99806555655a7daf7e68735a | [
"MIT"
] | 2 | 2020-09-06T16:45:37.000Z | 2021-04-25T15:16:20.000Z | dl_multi/utils/welford.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | null | null | null | dl_multi/utils/welford.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | 1 | 2020-04-30T03:08:56.000Z | 2020-04-30T03:08:56.000Z | import math
import numpy as np
# plt.style.use('seaborn')
# plt.rcParams['figure.figsize'] = (12, 8)
| 23.972727 | 67 | 0.525597 |
78feca6a377149a92c2667955b4f314e64f31df6 | 819 | py | Python | day3/functions.py | lilbond/bitis | 58e5eeebade6cea99fbf86fdf285721fb602e4ef | [
"MIT"
] | null | null | null | day3/functions.py | lilbond/bitis | 58e5eeebade6cea99fbf86fdf285721fb602e4ef | [
"MIT"
] | null | null | null | day3/functions.py | lilbond/bitis | 58e5eeebade6cea99fbf86fdf285721fb602e4ef | [
"MIT"
] | null | null | null |
greet()
greet_again("Hello Again")
greet_again_with_type("One Last Time")
greet_again_with_type(1234)
# multiple types
print(multiple_types(-2))
print(multiple_types(10))
# variable arguments
var_arguments(1, 2, 3)
a = [1, 2, 3]
var_arguments(a)
var_arguments(*a) # expanding
v
b = {"first" : "python", "... | 14.625 | 73 | 0.664225 |
78ff50d0ef3b81ac606726766e87dc4af67964c3 | 480 | py | Python | test.py | KipCrossing/Micropython-AD9833 | c684f5a9543bc5b67dcbf357c50f4d8f4057b2bf | [
"MIT"
] | 11 | 2018-12-13T23:39:18.000Z | 2022-02-24T11:59:36.000Z | test.py | KipCrossing/Micropython-AD9833 | c684f5a9543bc5b67dcbf357c50f4d8f4057b2bf | [
"MIT"
] | 1 | 2019-12-02T20:54:05.000Z | 2019-12-04T00:34:25.000Z | test.py | KipCrossing/Micropython-AD9833 | c684f5a9543bc5b67dcbf357c50f4d8f4057b2bf | [
"MIT"
] | 2 | 2019-05-03T10:58:36.000Z | 2020-02-20T10:21:43.000Z | from ad9833 import AD9833
# DUMMY classes for testing without board
# Code
SBI1 = SBI()
PIN3 = Pin()
wave = AD9833(SBI1, PIN3)
wave.set_freq(14500)
wave.set_type(2)
wave.send()
print(wave.shape_type)
| 13.333333 | 41 | 0.566667 |
600132a2e2c79c041002d7861851e7ef109318b7 | 14,276 | py | Python | tests/test_api_network.py | devicehive/devicehive-plugin-python-template | ad532a57ebf9ae52f12afc98eeb867380707d47d | [
"Apache-2.0"
] | null | null | null | tests/test_api_network.py | devicehive/devicehive-plugin-python-template | ad532a57ebf9ae52f12afc98eeb867380707d47d | [
"Apache-2.0"
] | 1 | 2018-03-07T07:36:44.000Z | 2018-03-07T07:36:44.000Z | tests/test_api_network.py | devicehive/devicehive-plugin-python-template | ad532a57ebf9ae52f12afc98eeb867380707d47d | [
"Apache-2.0"
] | 4 | 2018-03-10T20:59:37.000Z | 2021-10-18T23:25:30.000Z | # Copyright (C) 2018 DataArt
#
# 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, ... | 44.061728 | 79 | 0.591202 |
6001e3cd1b64684fad98768a1d1677fc7dbf592e | 1,043 | py | Python | filehandler.py | miciux/telegram-bot-admin | feb267ba6ce715b734b1a5911487c1080410a4a9 | [
"MIT"
] | 1 | 2017-04-30T13:12:32.000Z | 2017-04-30T13:12:32.000Z | filehandler.py | miciux/telegram-bot-admin | feb267ba6ce715b734b1a5911487c1080410a4a9 | [
"MIT"
] | null | null | null | filehandler.py | miciux/telegram-bot-admin | feb267ba6ce715b734b1a5911487c1080410a4a9 | [
"MIT"
] | null | null | null | import logging
import abstracthandler
import os
| 32.59375 | 92 | 0.637584 |
6001f3dc9b3e815ad90ab2f8d8d4027fbf828f6c | 6,276 | py | Python | tensorflow_federated/python/learning/federated_evaluation.py | Tensorflow-Devs/federated | 5df96d42d72fa43a050df6465271a38175a5fd7a | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/learning/federated_evaluation.py | Tensorflow-Devs/federated | 5df96d42d72fa43a050df6465271a38175a5fd7a | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/learning/federated_evaluation.py | Tensorflow-Devs/federated | 5df96d42d72fa43a050df6465271a38175a5fd7a | [
"Apache-2.0"
] | null | null | null | # Copyright 2019, The TensorFlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 47.18797 | 80 | 0.755736 |
6002ace185388c888ba705ff8de6efa12833e498 | 5,226 | py | Python | pylibcontainer/image.py | joaompinto/pylibcontainer | 794f12e7511dc2452521bad040a7873eff40f50b | [
"Apache-2.0"
] | 7 | 2018-05-14T14:35:29.000Z | 2020-12-04T11:26:19.000Z | pylibcontainer/image.py | joaompinto/pylibcontainer | 794f12e7511dc2452521bad040a7873eff40f50b | [
"Apache-2.0"
] | 8 | 2018-05-16T17:52:09.000Z | 2019-05-26T15:54:45.000Z | pylibcontainer/image.py | joaompinto/pylibcontainer | 794f12e7511dc2452521bad040a7873eff40f50b | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import os
import shutil
import hashlib
import requests
import click
from tempfile import NamedTemporaryFile
from hashlib import sha256
from os.path import expanduser, join, exists, basename
from .utils import HumanSize
from .tar import extract_layer
from . import trust
from . impor... | 36.291667 | 88 | 0.670876 |
600499594e77d8bfa05380ea38ed8a59d559483e | 987 | py | Python | utest/test_compareimage.py | michel117/robotframework-doctestlibrary | 305b220b73846bd389c47d74c2e0431c7bfaff94 | [
"Apache-2.0"
] | 1 | 2021-07-03T08:04:44.000Z | 2021-07-03T08:04:44.000Z | utest/test_compareimage.py | michel117/robotframework-doctestlibrary | 305b220b73846bd389c47d74c2e0431c7bfaff94 | [
"Apache-2.0"
] | null | null | null | utest/test_compareimage.py | michel117/robotframework-doctestlibrary | 305b220b73846bd389c47d74c2e0431c7bfaff94 | [
"Apache-2.0"
] | null | null | null | from DocTest.CompareImage import CompareImage
import pytest
from pathlib import Path
import numpy
| 25.973684 | 63 | 0.755826 |
60050fc2440b99d0cc01c8e1d51ae9219c2ec9ce | 46 | py | Python | cvstudio/view/widgets/labels_tableview/__init__.py | haruiz/PytorchCvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 32 | 2019-10-31T03:10:52.000Z | 2020-12-23T11:50:53.000Z | cvstudio/view/widgets/labels_tableview/__init__.py | haruiz/CvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 19 | 2019-10-31T15:06:05.000Z | 2020-06-15T02:21:55.000Z | cvstudio/view/widgets/labels_tableview/__init__.py | haruiz/PytorchCvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 8 | 2019-10-31T03:32:50.000Z | 2020-07-17T20:47:37.000Z | from .labels_tableview import LabelsTableView
| 23 | 45 | 0.891304 |
600533785dbd02d51d6674d42a21d63ffcb7660b | 16,243 | py | Python | experiments/solve_different_methods.py | vishalbelsare/ags_nlp_solver | 3558e8aae5507285d0c5e74f163c01d09a9cb805 | [
"MIT"
] | 8 | 2018-10-23T11:19:26.000Z | 2022-01-10T19:18:45.000Z | experiments/solve_different_methods.py | sovrasov/Algorithm-of-Global-Search | 3558e8aae5507285d0c5e74f163c01d09a9cb805 | [
"MIT"
] | null | null | null | experiments/solve_different_methods.py | sovrasov/Algorithm-of-Global-Search | 3558e8aae5507285d0c5e74f163c01d09a9cb805 | [
"MIT"
] | 2 | 2018-10-07T20:02:40.000Z | 2018-10-23T11:19:29.000Z | import functools
import numpy as np
import math
import argparse
import ags_solver
import go_problems
import nlopt
import sys
from Simple import SimpleTuner
import itertools
from scipy.spatial import Delaunay
from scipy.optimize import differential_evolution
from scipy.optimize import basinhopping
from sdaopt import sda... | 38.490521 | 134 | 0.623284 |
6006beb0722b92f412b4c3f2503f64cd54b33641 | 8,288 | py | Python | src/py/fc.py | mattyschell/geodatabase-toiler | c8231999c3156bf41f9b80f151085afa97ba8586 | [
"CC0-1.0"
] | null | null | null | src/py/fc.py | mattyschell/geodatabase-toiler | c8231999c3156bf41f9b80f151085afa97ba8586 | [
"CC0-1.0"
] | 4 | 2021-04-05T16:03:30.000Z | 2022-03-02T21:28:06.000Z | src/py/fc.py | mattyschell/geodatabase-toiler | c8231999c3156bf41f9b80f151085afa97ba8586 | [
"CC0-1.0"
] | null | null | null | import arcpy
import logging
import pathlib
import subprocess
import gdb
import cx_sde
| 39.279621 | 132 | 0.532939 |
60072c1b66f06352dd6eb1cdc5675eed8c8c537e | 602 | py | Python | desafiosCursoEmVideo/ex004.py | gomesGabriel/Pythonicos | b491cefbb0479dd83fee267304d0fa30b99786a5 | [
"MIT"
] | 1 | 2019-09-02T12:14:58.000Z | 2019-09-02T12:14:58.000Z | desafiosCursoEmVideo/ex004.py | gomesGabriel/Pythonicos | b491cefbb0479dd83fee267304d0fa30b99786a5 | [
"MIT"
] | null | null | null | desafiosCursoEmVideo/ex004.py | gomesGabriel/Pythonicos | b491cefbb0479dd83fee267304d0fa30b99786a5 | [
"MIT"
] | null | null | null | n = input('Digite algo: ')
print('O tipo primitivo da varivel : ', type(n))
print('O que foi digitado alfa numrico? ', n.isalnum())
print('O que foi digitado alfabtico? ', n.isalpha())
print('O que foi digitado um decimal? ', n.isdecimal())
print('O que foi digitado minsculo? ', n.islower())
print('O que foi digita... | 50.166667 | 64 | 0.694352 |
60072f56e1c7453c15f0f4342de268f2dd1b42f7 | 640 | py | Python | Machine learning book/3 - MultiLayer Perceptron/test_regression.py | dalmia/Lisa-Lab-Tutorials | ee1b0b4fcb82914085420bb289ebda09f248c8d1 | [
"MIT"
] | 25 | 2017-01-14T08:17:23.000Z | 2022-02-26T13:53:17.000Z | Machine learning book/3 - MultiLayer Perceptron/test_regression.py | dalmia/Lisa-Lab-Tutorials | ee1b0b4fcb82914085420bb289ebda09f248c8d1 | [
"MIT"
] | 1 | 2020-06-20T02:49:16.000Z | 2020-06-20T02:49:16.000Z | Machine learning book/3 - MultiLayer Perceptron/test_regression.py | dalmia/Lisa-Lab-Tutorials | ee1b0b4fcb82914085420bb289ebda09f248c8d1 | [
"MIT"
] | 6 | 2017-08-24T08:40:41.000Z | 2020-03-17T00:01:56.000Z | from numpy import *
import numpy as np
import matplotlib.pyplot as plt
from mlp import mlp
x = ones((1, 40)) * linspace(0, 1, 40)
t = sin(2 * pi * x) + cos(2 * pi * x) + np.random.randn(40) * 0.2
x = transpose(x)
t = transpose(t)
n_hidden = 3
eta = 0.25
n_iterations = 101
plt.plot(x, t, '.')
plt.show()
train = x[0:... | 21.333333 | 77 | 0.65 |
6007f9657a1d3a19cb045cca61bc7716d4f2e22f | 144 | py | Python | gomoku/networks/__init__.py | IllIIIllll/reinforcement-learning-omok | 1c76ba76c203a3b7c99095fde0626aff45b1b94b | [
"Apache-2.0"
] | 1 | 2020-07-07T14:41:35.000Z | 2020-07-07T14:41:35.000Z | gomoku/networks/__init__.py | IllIIIllll/reinforcement-learning-omok | 1c76ba76c203a3b7c99095fde0626aff45b1b94b | [
"Apache-2.0"
] | 1 | 2020-08-27T08:22:03.000Z | 2020-08-27T08:22:03.000Z | gomoku/networks/__init__.py | IllIIIllll/gomoku | 1c76ba76c203a3b7c99095fde0626aff45b1b94b | [
"Apache-2.0"
] | null | null | null | # 2020 . all rights reserved.
# <llllllllll@kakao.com>
# Apache License 2.0
from .small import *
from .medium import *
from .large import * | 20.571429 | 33 | 0.708333 |
60099617ee434da572759077c7ea7be632ca1953 | 2,020 | py | Python | alipay/aop/api/domain/AlipayEbppInvoiceAuthSignModel.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 1 | 2022-03-07T06:11:10.000Z | 2022-03-07T06:11:10.000Z | alipay/aop/api/domain/AlipayEbppInvoiceAuthSignModel.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/AlipayEbppInvoiceAuthSignModel.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 1 | 2021-10-05T03:01:09.000Z | 2021-10-05T03:01:09.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
| 28.450704 | 87 | 0.614851 |
6009cc193c9712b5bd11ff6e9909ef949c64bd53 | 12,219 | py | Python | sdk/python/tekton_pipeline/models/v1beta1_embedded_task.py | jmcshane/experimental | 3c47c7e87bcdadc6172941169f3f24fc3f159ae0 | [
"Apache-2.0"
] | null | null | null | sdk/python/tekton_pipeline/models/v1beta1_embedded_task.py | jmcshane/experimental | 3c47c7e87bcdadc6172941169f3f24fc3f159ae0 | [
"Apache-2.0"
] | null | null | null | sdk/python/tekton_pipeline/models/v1beta1_embedded_task.py | jmcshane/experimental | 3c47c7e87bcdadc6172941169f3f24fc3f159ae0 | [
"Apache-2.0"
] | 1 | 2020-07-30T15:55:45.000Z | 2020-07-30T15:55:45.000Z | # Copyright 2020 The Tekton Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 31.903394 | 222 | 0.628857 |
6009fd2ff57dced5db01fbc3398709e54f5b6bf1 | 3,122 | py | Python | tzp.py | gmlunesa/zhat | 3bf62625d102bd40274fcd39c91f21c169e334a8 | [
"MIT"
] | 1 | 2018-06-14T04:00:43.000Z | 2018-06-14T04:00:43.000Z | tzp.py | gmlunesa/zhat | 3bf62625d102bd40274fcd39c91f21c169e334a8 | [
"MIT"
] | null | null | null | tzp.py | gmlunesa/zhat | 3bf62625d102bd40274fcd39c91f21c169e334a8 | [
"MIT"
] | 1 | 2020-11-01T13:06:56.000Z | 2020-11-01T13:06:56.000Z | import zmq
import curses
import argparse
import configparser
import threading
import time
from curses import wrapper
from client import Client
from ui import UI
if '__main__' == __name__:
try:
args = parse_args()
wrapper(main)
except KeyboardInterrupt as e:
pass
except:
... | 26.235294 | 99 | 0.65663 |
600a51b33a2bb56f14ea62360d44dde1324b6215 | 1,968 | py | Python | anonlink-entity-service/backend/entityservice/tasks/solver.py | Sam-Gresh/linkage-agent-tools | f405c7efe3fa82d99bc047f130c0fac6f3f5bf82 | [
"Apache-2.0"
] | 1 | 2020-05-19T07:29:31.000Z | 2020-05-19T07:29:31.000Z | backend/entityservice/tasks/solver.py | hardbyte/anonlink-entity-service | 3c1815473bc8169ca571532c18e0913a45c704de | [
"Apache-2.0"
] | null | null | null | backend/entityservice/tasks/solver.py | hardbyte/anonlink-entity-service | 3c1815473bc8169ca571532c18e0913a45c704de | [
"Apache-2.0"
] | null | null | null | import anonlink
from anonlink.candidate_generation import _merge_similarities
from entityservice.object_store import connect_to_object_store
from entityservice.async_worker import celery, logger
from entityservice.settings import Config as config
from entityservice.tasks.base_task import TracedTask
from entityservice.... | 48 | 117 | 0.760163 |
600ca7297733fdb91cfe20784d6ed193a6eb6593 | 3,239 | py | Python | portal/migrations/0007_auto_20170824_1341.py | nickmvincent/ugc-val-est | b5cceda14ef5830f1befaddfccfd90a694c9677a | [
"MIT"
] | 2 | 2019-11-13T19:56:05.000Z | 2020-09-05T03:21:14.000Z | portal/migrations/0007_auto_20170824_1341.py | nickmvincent/ugc-val-est | b5cceda14ef5830f1befaddfccfd90a694c9677a | [
"MIT"
] | 6 | 2018-03-02T16:49:20.000Z | 2021-06-10T18:55:02.000Z | portal/migrations/0007_auto_20170824_1341.py | nickmvincent/ugc-val-est | b5cceda14ef5830f1befaddfccfd90a694c9677a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-24 13:41
from __future__ import unicode_literals
from django.db import migrations, models
| 33.739583 | 76 | 0.592467 |