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cf4387415bf3d2ce5cee3c3ac85f26fc37e16f40 | 1,246 | py | Python | chronos/docker/chronos/main.py | guadaltech/kubernetes-containers-tools | 5d4d9da6bf95162404b927cf23178d86dd99dd85 | [
"Apache-2.0"
] | 6 | 2019-07-16T22:10:30.000Z | 2021-12-27T09:19:49.000Z | chronos/docker/chronos/main.py | guadaltech/kubernetes-containers-tools | 5d4d9da6bf95162404b927cf23178d86dd99dd85 | [
"Apache-2.0"
] | 2 | 2021-04-30T21:26:44.000Z | 2021-06-02T02:52:11.000Z | chronos/docker/chronos/main.py | guadaltech/kubernetes-containers-tools | 5d4d9da6bf95162404b927cf23178d86dd99dd85 | [
"Apache-2.0"
] | 5 | 2019-12-05T17:50:44.000Z | 2020-12-21T13:43:59.000Z | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# By: Juan Manuel Torres (Tedezed)
# Source: https://github.com/Tedezed
# Mail: juanmanuel.torres@aventurabinaria.es
from sys import argv
from copy import deepcopy
from chronos import *
from module_control import *
debug = True
if __name__ == '__main__':
# Start
m... | 24.431373 | 94 | 0.617175 |
cf4608779dce90116381a48c64482664f32fa28c | 477 | py | Python | marketplace/migrations/0003_auto_20171106_1454.py | 18F/cloud-marketplace-prototype | 4098d7e5391274e5317be2525d9deb5bc40eb2ad | [
"CC0-1.0"
] | null | null | null | marketplace/migrations/0003_auto_20171106_1454.py | 18F/cloud-marketplace-prototype | 4098d7e5391274e5317be2525d9deb5bc40eb2ad | [
"CC0-1.0"
] | 7 | 2017-11-06T20:35:53.000Z | 2017-11-08T00:25:23.000Z | marketplace/migrations/0003_auto_20171106_1454.py | 18F/cloud-marketplace-prototype | 4098d7e5391274e5317be2525d9deb5bc40eb2ad | [
"CC0-1.0"
] | 2 | 2020-04-03T19:39:32.000Z | 2021-02-14T11:06:53.000Z | # Generated by Django 2.0b1 on 2017-11-06 14:54
from django.db import migrations, models
import django.db.models.deletion
| 23.85 | 104 | 0.645702 |
cf47df4c6b593e4383ff636ac29f7e2d23da1b11 | 4,770 | py | Python | sed.py | hvt1609/kagglebirdcall | 4f60b72b80414daecdb54cef35c50fc864445e2e | [
"MIT"
] | 43 | 2020-09-20T07:18:13.000Z | 2022-02-28T02:00:52.000Z | sed.py | hvt1609/kagglebirdcall | 4f60b72b80414daecdb54cef35c50fc864445e2e | [
"MIT"
] | null | null | null | sed.py | hvt1609/kagglebirdcall | 4f60b72b80414daecdb54cef35c50fc864445e2e | [
"MIT"
] | 11 | 2020-12-14T12:47:59.000Z | 2021-09-15T08:30:07.000Z | import numpy as np
import pandas as pd
import torch
import src.configuration as C
import src.dataset as dataset
import src.models as models
import src.utils as utils
from pathlib import Path
from fastprogress import progress_bar
if __name__ == "__main__":
args = utils.get_sed_parser().parse_args()
config =... | 40.769231 | 88 | 0.497694 |
cf4822751b85f3fff30ab1f25c4f898ec930fe1f | 7,714 | py | Python | src/models.py | hrukalive/WWW2020_paper2repo | d37c09e5bb1f01a71e5fc271821c9a8eff012eab | [
"MIT"
] | 9 | 2020-05-21T11:26:41.000Z | 2022-01-02T20:25:16.000Z | src/models.py | hrukalive/WWW2020_paper2repo | d37c09e5bb1f01a71e5fc271821c9a8eff012eab | [
"MIT"
] | 2 | 2020-10-17T15:17:51.000Z | 2020-12-15T01:27:59.000Z | src/models.py | hrukalive/WWW2020_paper2repo | d37c09e5bb1f01a71e5fc271821c9a8eff012eab | [
"MIT"
] | 2 | 2020-05-21T10:52:47.000Z | 2020-12-10T03:12:00.000Z | import itertools
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import GCNConv
| 42.855556 | 150 | 0.639487 |
cf4877aa2a4e1460da58b03dece8f19e7017b3cc | 815 | py | Python | cobaltuoft/helpers/scrapers/filter_keys.py | kshvmdn/cobalt-uoft-python | 0e58ae1c622a5b8c0dd9cdc099dbb852d1892b5d | [
"MIT"
] | 2 | 2016-06-02T00:15:07.000Z | 2016-07-09T22:03:07.000Z | cobaltuoft/helpers/scrapers/filter_keys.py | kshvmdn/cobalt-uoft-python | 0e58ae1c622a5b8c0dd9cdc099dbb852d1892b5d | [
"MIT"
] | 1 | 2016-08-20T03:05:15.000Z | 2016-08-20T03:05:15.000Z | cobaltuoft/helpers/scrapers/filter_keys.py | kshvmdn/cobalt-uoft-python | 0e58ae1c622a5b8c0dd9cdc099dbb852d1892b5d | [
"MIT"
] | null | null | null | import requests
import json
from bs4 import BeautifulSoup
BASE_URL = 'https://cobalt.qas.im/documentation/%s/filter'
def scrape(api_endpoint):
"""Scrape filter keys from the Cobalt documentation of api_endpoint."""
host = BASE_URL % api_endpoint
resp = requests.get(host)
soup = BeautifulSoup(resp.t... | 20.897436 | 75 | 0.641718 |
cf4e17eb9bba880982985109a14c9e919ea428bc | 1,868 | py | Python | scraper.py | JordanFitz/ultimate-cli | 2eae5a21ca33222dabab395506edcd5348af0953 | [
"MIT"
] | 3 | 2020-07-31T18:55:53.000Z | 2021-01-11T19:34:57.000Z | scraper.py | JordanFitz/ultimate-cli | 2eae5a21ca33222dabab395506edcd5348af0953 | [
"MIT"
] | null | null | null | scraper.py | JordanFitz/ultimate-cli | 2eae5a21ca33222dabab395506edcd5348af0953 | [
"MIT"
] | null | null | null | import requests
import json
from bs4 import BeautifulSoup
from result import Result
BASE = "https://www.ultimate-guitar.com/"
URLS = {
"search": BASE + "search.php"
}
| 27.470588 | 95 | 0.555139 |
cf4f651d549c3516ce6db96d22129332f315f99b | 28,200 | py | Python | experiments/smal_shape.py | silviazuffi/smalst | f7871d6e53331938ac8e15491d88988f3645020c | [
"MIT"
] | 121 | 2019-09-11T18:26:06.000Z | 2022-03-09T07:25:12.000Z | experiments/smal_shape.py | silviazuffi/smalst | f7871d6e53331938ac8e15491d88988f3645020c | [
"MIT"
] | 27 | 2019-09-19T11:06:36.000Z | 2022-03-12T00:05:51.000Z | experiments/smal_shape.py | silviazuffi/smalst | f7871d6e53331938ac8e15491d88988f3645020c | [
"MIT"
] | 21 | 2019-09-12T00:36:05.000Z | 2021-11-16T18:01:12.000Z | """
Example usage:
python -m smalst.experiments.smal_shape --zebra_dir='smalst/zebra_no_toys_wtex_1000_0' --num_epochs=100000 --save_epoch_freq=20 --name=smal_net_600 --save_training_imgs=True --num_images=20000 --do_validation=True
"""
from __future__ import absolute_import
from __future__ import division
from __f... | 45.337621 | 213 | 0.632801 |
cf4fafa4cd10d68213ccd7a497d1a8e05102d135 | 5,504 | py | Python | lablog/controllers/auth/facebook.py | NationalAssociationOfRealtors/LabServices | 33a5d654254f0449665acc0ec49454b624914bd6 | [
"MIT"
] | 4 | 2015-08-26T23:43:45.000Z | 2019-05-14T11:48:33.000Z | lablog/controllers/auth/facebook.py | NationalAssociationOfRealtors/LabServices | 33a5d654254f0449665acc0ec49454b624914bd6 | [
"MIT"
] | null | null | null | lablog/controllers/auth/facebook.py | NationalAssociationOfRealtors/LabServices | 33a5d654254f0449665acc0ec49454b624914bd6 | [
"MIT"
] | 4 | 2015-11-11T21:10:39.000Z | 2019-02-19T10:29:06.000Z | from flask import Blueprint, render_template, request, redirect, url_for, Response
from flask.views import MethodView
from flask.ext.login import login_required, current_user
from lablog import config
from lablog.models.client import SocialAccount, FacebookPage, PageCategory
from flask_oauth import OAuth
import logging... | 33.766871 | 96 | 0.60883 |
cf52462e678754e75ae82a866356a2a83a7127d7 | 2,208 | py | Python | lambdainst/management/commands/expire_notify.py | Elijah-glitch/Hey | 00c09a0c8bfa9868d8048f697b36849569f9e127 | [
"MIT"
] | 25 | 2016-07-14T06:16:17.000Z | 2021-12-21T06:52:42.000Z | lambdainst/management/commands/expire_notify.py | Elijah-glitch/Hey | 00c09a0c8bfa9868d8048f697b36849569f9e127 | [
"MIT"
] | 4 | 2017-11-29T20:20:30.000Z | 2017-12-01T00:04:29.000Z | lambdainst/management/commands/expire_notify.py | Elijah-glitch/Hey | 00c09a0c8bfa9868d8048f697b36849569f9e127 | [
"MIT"
] | 5 | 2016-07-19T18:26:24.000Z | 2020-05-31T18:40:15.000Z | from django.core.management.base import BaseCommand
from datetime import timedelta
from django.db.models import Q, F
from django.conf import settings
from django.utils import timezone
from django.template.loader import get_template
from django.core.mail import send_mass_mail
from constance import config as site_confi... | 36.196721 | 90 | 0.660326 |
cf53c765814066ca5686a1437270186374d125ce | 436 | py | Python | data-collection/tools/get_frames_from_video.py | pabsan-0/sub-t | 7217fdbd3ba73a4d807939f3a2646ac9f4f00fe0 | [
"MIT"
] | null | null | null | data-collection/tools/get_frames_from_video.py | pabsan-0/sub-t | 7217fdbd3ba73a4d807939f3a2646ac9f4f00fe0 | [
"MIT"
] | 1 | 2021-09-14T09:34:30.000Z | 2021-09-14T09:34:30.000Z | data-collection/tools/get_frames_from_video.py | pabsan-0/sub-t | 7217fdbd3ba73a4d807939f3a2646ac9f4f00fe0 | [
"MIT"
] | null | null | null | import cv2
'''
gets a video file and dumps each frame as a jpg picture in an output dir
'''
# Opens the Video file
cap = cv2.VideoCapture('./Subt_2.mp4')
i = 0
while(cap.isOpened()):
ret, frame = cap.read()
if i%(round(25*0.3)) == 0:
print(i)
if ret == False:
break... | 18.956522 | 73 | 0.555046 |
cf550d5046a14f319037b7c1e06767b5b0ef9a2d | 6,493 | py | Python | analysis_tools/data_processing.py | google-research/policy-learning-landscape | 96c99bc67ce40559c61bdb6110f625671fc96055 | [
"Apache-2.0"
] | 52 | 2018-11-01T05:30:19.000Z | 2022-01-17T10:44:55.000Z | analysis_tools/data_processing.py | google-research/policy-learning-landscape | 96c99bc67ce40559c61bdb6110f625671fc96055 | [
"Apache-2.0"
] | null | null | null | analysis_tools/data_processing.py | google-research/policy-learning-landscape | 96c99bc67ce40559c61bdb6110f625671fc96055 | [
"Apache-2.0"
] | 12 | 2018-11-01T15:04:18.000Z | 2022-03-29T10:38:07.000Z | # coding=utf-8
# Copyright 2018 The Google Research 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 applicab... | 34.354497 | 97 | 0.708301 |
cf5571ce3ba8c90bd540e618cea5932721093c20 | 3,945 | py | Python | src/toil_lib/test/test_spark.py | BD2KGenomics/toil-lib | 022a615fc3dc98fc1aaa7bfd232409962ca44fbd | [
"Apache-2.0"
] | 4 | 2016-09-07T17:42:21.000Z | 2021-10-10T21:29:25.000Z | src/toil_lib/test/test_spark.py | BD2KGenomics/toil-lib | 022a615fc3dc98fc1aaa7bfd232409962ca44fbd | [
"Apache-2.0"
] | 95 | 2016-09-02T07:39:19.000Z | 2017-09-07T21:36:25.000Z | src/toil_lib/test/test_spark.py | BD2KGenomics/toil-lib | 022a615fc3dc98fc1aaa7bfd232409962ca44fbd | [
"Apache-2.0"
] | 8 | 2016-09-02T03:27:23.000Z | 2021-10-10T21:29:17.000Z | # Copyright (C) 2016 Regents of the University of California
#
# 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 applicab... | 32.336066 | 86 | 0.649176 |
cf570cd02e631b3b5db311ff2825b9555c99f6c9 | 5,469 | py | Python | testscripts/RDKB/component/HAL_Platform/TS_platform_stub_hal_SNMPOnboardReboot_InvalidInput.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | testscripts/RDKB/component/HAL_Platform/TS_platform_stub_hal_SNMPOnboardReboot_InvalidInput.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | testscripts/RDKB/component/HAL_Platform/TS_platform_stub_hal_SNMPOnboardReboot_InvalidInput.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | ##########################################################################
# If not stated otherwise in this file or this component's Licenses.txt
# file the following copyright and licenses apply:
#
# Copyright 2020 RDK Management
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... | 43.752 | 149 | 0.722436 |
cf5af642f862583555a72b1ffb31c75257f89438 | 1,939 | py | Python | test.py | iNateDawg/Craft | 07cc0002d74ed4842861e318f8fffb1d7883f0e8 | [
"MIT"
] | null | null | null | test.py | iNateDawg/Craft | 07cc0002d74ed4842861e318f8fffb1d7883f0e8 | [
"MIT"
] | 23 | 2020-02-13T23:36:55.000Z | 2020-04-27T18:24:04.000Z | test.py | iNateDawg/Craft | 07cc0002d74ed4842861e318f8fffb1d7883f0e8 | [
"MIT"
] | null | null | null | import normalize
norm = normalize.normalize("heightdata.png", 6, 6)
| 46.166667 | 123 | 0.676122 |
cf5c534c09ede466b590e19490c6c514bb3d2263 | 2,805 | py | Python | train.py | gezza/aipnd-flower-classifier | 7922e04843396d0b42e7da560d5cbea01808c9f0 | [
"MIT"
] | null | null | null | train.py | gezza/aipnd-flower-classifier | 7922e04843396d0b42e7da560d5cbea01808c9f0 | [
"MIT"
] | null | null | null | train.py | gezza/aipnd-flower-classifier | 7922e04843396d0b42e7da560d5cbea01808c9f0 | [
"MIT"
] | null | null | null | # imports
import json
import argparse
import torch
from torch import nn
from torch import optim
from torch.optim import lr_scheduler
import torch.nn.functional as F
from torchvision import models
from collections import OrderedDict
from data_utils import load_data
from model_utils import define_model, train_model
# pa... | 37.905405 | 143 | 0.685561 |
cf5c77c555ecb2e02b90f5f6cbb36c241e07712b | 205 | py | Python | test_suite.py | williangl/locust_jtl_reporter | 2eeed97d3aa454223f443fb406076500dd5b2934 | [
"MIT"
] | null | null | null | test_suite.py | williangl/locust_jtl_reporter | 2eeed97d3aa454223f443fb406076500dd5b2934 | [
"MIT"
] | null | null | null | test_suite.py | williangl/locust_jtl_reporter | 2eeed97d3aa454223f443fb406076500dd5b2934 | [
"MIT"
] | null | null | null | from locust import HttpUser
from product_route import ProductLoadTest
from user_route import UserLoadTest
| 15.769231 | 41 | 0.731707 |
cf5e44c6b2e424b2b5948c67c6cd8e692e1cb91a | 916 | py | Python | code/util/rototranslation.py | goldleaf3i/declutter-reconstruct | 954b755a1eced34af50d31ee2e3938a0b751cc4d | [
"MIT"
] | 2 | 2022-03-14T07:37:45.000Z | 2022-03-25T09:01:48.000Z | code/util/rototranslation.py | goldleaf3i/declutter-reconstruct | 954b755a1eced34af50d31ee2e3938a0b751cc4d | [
"MIT"
] | 1 | 2022-03-24T07:34:16.000Z | 2022-03-27T11:20:27.000Z | code/util/rototranslation.py | goldleaf3i/declutter-reconstruct | 954b755a1eced34af50d31ee2e3938a0b751cc4d | [
"MIT"
] | 1 | 2022-03-08T05:37:22.000Z | 2022-03-08T05:37:22.000Z | import math
| 26.941176 | 118 | 0.706332 |
cf5f5b44e44e3ba3b7ed0e8ffb3e498e72891f7c | 8,316 | py | Python | ReanalysisRetreival_orig/UnimakPass/UP_Winds_Trans_vs_SST.py | shaunwbell/FOCI_Analysis | dde4a5f0badd76fe5719575d5c138813ab156b70 | [
"MIT"
] | null | null | null | ReanalysisRetreival_orig/UnimakPass/UP_Winds_Trans_vs_SST.py | shaunwbell/FOCI_Analysis | dde4a5f0badd76fe5719575d5c138813ab156b70 | [
"MIT"
] | null | null | null | ReanalysisRetreival_orig/UnimakPass/UP_Winds_Trans_vs_SST.py | shaunwbell/FOCI_Analysis | dde4a5f0badd76fe5719575d5c138813ab156b70 | [
"MIT"
] | null | null | null | #!/usr/bin/env
"""
UP_Winds_Trans_vs_SST.py
Using U,V (6hr from NARR) to calculate a transport index
Using SST (daily) from HR
NARR U/V winds (triangel filtered and subsampled to 6 hours)
----
NCEP Reanalysis data provided by the NOAA/OAR/ESRL PSD, Boulder,
Colorado, USA, from their Web site ... | 37.125 | 118 | 0.592232 |
cf5fdc935b246205705bebdc1988c54f65a6701d | 2,025 | py | Python | tests/extern/conftest.py | deepdoctection/deepdoctection | 7e0d7396e5ef8bf8109904e09c5d4ee56cb5a036 | [
"Apache-2.0"
] | 39 | 2021-12-14T11:05:25.000Z | 2022-03-31T18:50:58.000Z | tests/extern/conftest.py | deepdoctection/deepdoctection | 7e0d7396e5ef8bf8109904e09c5d4ee56cb5a036 | [
"Apache-2.0"
] | 17 | 2022-01-04T14:32:26.000Z | 2022-03-29T14:01:36.000Z | tests/extern/conftest.py | deepdoctection/deepdoctection | 7e0d7396e5ef8bf8109904e09c5d4ee56cb5a036 | [
"Apache-2.0"
] | 4 | 2022-01-11T16:40:17.000Z | 2022-03-30T02:09:55.000Z | # -*- coding: utf-8 -*-
# File: conftest.py
# Copyright 2021 Dr. Janis Meyer. 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/LICE... | 24.107143 | 74 | 0.724938 |
cf6149728d0a4d14dac89fc7b43a49eb3065e261 | 576 | py | Python | src_nlp/tensorflow/toward_control/mains/pretrain.py | ashishpatel26/finch | bf2958c0f268575e5d51ad08fbc08b151cbea962 | [
"MIT"
] | 1 | 2019-02-12T09:22:00.000Z | 2019-02-12T09:22:00.000Z | src_nlp/tensorflow/toward_control/mains/pretrain.py | loopzxl/finch | bf2958c0f268575e5d51ad08fbc08b151cbea962 | [
"MIT"
] | null | null | null | src_nlp/tensorflow/toward_control/mains/pretrain.py | loopzxl/finch | bf2958c0f268575e5d51ad08fbc08b151cbea962 | [
"MIT"
] | 1 | 2020-10-15T21:34:17.000Z | 2020-10-15T21:34:17.000Z | import tensorflow as tf
import pprint
import os, sys
sys.path.append(os.path.dirname(os.getcwd()))
from model import VAE
from data.imdb import VAEDataLoader
from vocab.imdb import IMDBVocab
from trainers import VAETrainer
from log import create_logging
if __name__ == '__main__':
main() | 22.153846 | 66 | 0.713542 |
cf61827ad67d8e5d3b9ee9c95cce292b602d4ae0 | 816 | py | Python | Core/Behavior/ComposedBehavior/ComposedBehavior.py | ElsevierSoftwareX/SOFTX_2019_242 | 44332f01720368c4a7cceabda6aac8ecf7dbf273 | [
"CC-BY-4.0"
] | 6 | 2019-09-25T03:28:43.000Z | 2021-03-17T02:48:27.000Z | Core/Behavior/ComposedBehavior/ComposedBehavior.py | marquisvictor/YOLO-Software | f2fe782af12b7e85e040d7e0ed4b653b0788042e | [
"CC-BY-4.0"
] | null | null | null | Core/Behavior/ComposedBehavior/ComposedBehavior.py | marquisvictor/YOLO-Software | f2fe782af12b7e85e040d7e0ed4b653b0788042e | [
"CC-BY-4.0"
] | 3 | 2019-09-25T05:52:01.000Z | 2020-04-16T21:04:49.000Z | from Core.Enumerations import *
| 29.142857 | 50 | 0.627451 |
cf61abcc2afa01d163e5ab0c141a6dc476802b68 | 1,020 | py | Python | frame.py | GodLovesJonny/Tkinter-Demos | 3db991f49076ea370254332b240130b186f670a7 | [
"MIT"
] | null | null | null | frame.py | GodLovesJonny/Tkinter-Demos | 3db991f49076ea370254332b240130b186f670a7 | [
"MIT"
] | null | null | null | frame.py | GodLovesJonny/Tkinter-Demos | 3db991f49076ea370254332b240130b186f670a7 | [
"MIT"
] | null | null | null | """
_____
| ___| __ __ _ _ __ ___ ___
| |_ | '__/ _` | '_ ` _ \ / _ \
| _|| | | (_| | | | | | | __/
|_| |_| \__,_|_| |_| |_|\___|
@author: Jonathan Wang
@coding: utf-8
@environment: Manjaro 18.1.5 Juhraya + Python3.8.1
@date: 13th Jan., 2020
"""
imp... | 26.153846 | 75 | 0.60098 |
cf623e082d962d40a1a6dbfc452f070c88e7054c | 491 | py | Python | hospi/admin.py | Vicky-Rathod/django-hospital-management | b553f1da64f10eae527b438dd28acaad56d2d774 | [
"MIT"
] | null | null | null | hospi/admin.py | Vicky-Rathod/django-hospital-management | b553f1da64f10eae527b438dd28acaad56d2d774 | [
"MIT"
] | 4 | 2021-05-21T01:48:19.000Z | 2022-02-10T13:01:49.000Z | hospi/admin.py | Vicky-Rathod/django-hospital-management | b553f1da64f10eae527b438dd28acaad56d2d774 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Patient,Ipd,Rooms,TreatmentAdviced,TreatmentGiven,Discharge,Procedure,Investigation,DailyRound,Opd
admin.site.register(Opd)# Register your models here.
admin.site.register(Patient)
admin.site.register(Ipd)
admin.site.register(Rooms)
admin.site.register(TreatmentAdv... | 32.733333 | 118 | 0.843177 |
cf62df099326bf29d570a34b64f7dc86c916f3eb | 3,767 | py | Python | mpopt/population/base.py | CavalloneChen/mpopt | 9d39f613cc840c25416ec060ac503fb0599bde1b | [
"Xnet",
"X11",
"RSA-MD"
] | 3 | 2020-11-05T05:55:55.000Z | 2021-04-19T08:24:06.000Z | mpopt/population/base.py | CavalloneChen/mpopt | 9d39f613cc840c25416ec060ac503fb0599bde1b | [
"Xnet",
"X11",
"RSA-MD"
] | null | null | null | mpopt/population/base.py | CavalloneChen/mpopt | 9d39f613cc840c25416ec060ac503fb0599bde1b | [
"Xnet",
"X11",
"RSA-MD"
] | 2 | 2020-11-23T02:11:48.000Z | 2020-12-01T01:56:03.000Z | import numpy as np
from ..operator import operator as opt
| 26.342657 | 81 | 0.576586 |
cf6321d3115049f34995a2a864715a227d43e3fe | 2,586 | py | Python | opttrack/lib/ui/find_handlers.py | aisthesis/opttrack | 17e0c7740ea43e0f07166e30d689b106d0319d0b | [
"MIT"
] | null | null | null | opttrack/lib/ui/find_handlers.py | aisthesis/opttrack | 17e0c7740ea43e0f07166e30d689b106d0319d0b | [
"MIT"
] | 2 | 2016-03-30T02:50:31.000Z | 2016-03-30T16:18:23.000Z | opttrack/lib/ui/find_handlers.py | aisthesis/opttrack | 17e0c7740ea43e0f07166e30d689b106d0319d0b | [
"MIT"
] | null | null | null | """
Copyright (c) 2015 Marshall Farrier
license http://opensource.org/licenses/MIT
lib/ui/handlers.py
Handlers for find menu
"""
from functools import partial
import sys
import traceback
import pynance as pn
from ..dbtools import find_job
from ..dbwrapper import job
from ..spreads.dgb_finder import DgbFinder
from ... | 29.05618 | 90 | 0.604408 |
cf661f6c62d7243ea412ab586f9de155fce581e4 | 568 | py | Python | service/surf/vendor/surfconext/migrations/0004_users_update.py | surfedushare/search-portal | 708a0d05eee13c696ca9abd7e84ab620d3900fbe | [
"MIT"
] | 2 | 2021-08-19T09:40:59.000Z | 2021-12-14T11:08:20.000Z | service/surf/vendor/surfconext/migrations/0004_users_update.py | surfedushare/search-portal | 708a0d05eee13c696ca9abd7e84ab620d3900fbe | [
"MIT"
] | 159 | 2020-05-14T14:17:34.000Z | 2022-03-23T10:28:13.000Z | service/surf/vendor/surfconext/migrations/0004_users_update.py | surfedushare/search-portal | 708a0d05eee13c696ca9abd7e84ab620d3900fbe | [
"MIT"
] | 1 | 2021-11-11T13:37:22.000Z | 2021-11-11T13:37:22.000Z | # Generated by Django 3.2.8 on 2021-12-28 14:50
from django.conf import settings
from django.db import migrations, models
| 27.047619 | 133 | 0.672535 |
cf676f62fbfcc60ea415779f429317d7116c043d | 17,824 | py | Python | particle_packing/tests/test_Ellipse_.py | aluchies/particle_packing | 127603a519ae25979de6c6197810a7ea38ec945b | [
"BSD-3-Clause"
] | null | null | null | particle_packing/tests/test_Ellipse_.py | aluchies/particle_packing | 127603a519ae25979de6c6197810a7ea38ec945b | [
"BSD-3-Clause"
] | null | null | null | particle_packing/tests/test_Ellipse_.py | aluchies/particle_packing | 127603a519ae25979de6c6197810a7ea38ec945b | [
"BSD-3-Clause"
] | null | null | null | import unittest
import numpy as np
from particle_packing.ellipse import Ellipse, \
overlap_potential, overlap_potential_py, \
square_container_potential_py, square_container_potential
if __name__ == '__main__':
print 'Running unit tests for Ellipse.py'
unittest.main() | 18.644351 | 71 | 0.506676 |
cf68231df974fd2bf1dc647492649911b88dec93 | 925 | py | Python | dayu_database/status/__init__.py | phenom-films/dayu_database | 221f965a77a5ea1d4074135903d29bc0a9d9b1c7 | [
"MIT"
] | 7 | 2018-10-11T07:44:57.000Z | 2020-10-08T14:44:52.000Z | dayu_database/status/__init__.py | phenom-films/dayu_database | 221f965a77a5ea1d4074135903d29bc0a9d9b1c7 | [
"MIT"
] | null | null | null | dayu_database/status/__init__.py | phenom-films/dayu_database | 221f965a77a5ea1d4074135903d29bc0a9d9b1c7 | [
"MIT"
] | 6 | 2018-10-16T02:54:37.000Z | 2022-02-16T13:43:02.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
__author__ = 'andyguo'
from functools import wraps
def validate_status(status):
return outter_wrapper | 28.030303 | 97 | 0.658378 |
cf68f65115320cc914dad608b3c27f36cbd7b332 | 413 | py | Python | examples/required.py | klauer/apischema | 0da9b96b74dabe8704e2dcfca4502aed98500799 | [
"MIT"
] | null | null | null | examples/required.py | klauer/apischema | 0da9b96b74dabe8704e2dcfca4502aed98500799 | [
"MIT"
] | null | null | null | examples/required.py | klauer/apischema | 0da9b96b74dabe8704e2dcfca4502aed98500799 | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import Optional
from pytest import raises
from apischema import ValidationError, deserialize
from apischema.metadata import required
with raises(ValidationError) as err:
deserialize(Foo, {})
assert err.value.errors == [{"loc": ["bar"], "msg": "missing proper... | 22.944444 | 72 | 0.755448 |
cf69b7c1b0ee0c981e62c4f57e35503e75914b82 | 14,583 | py | Python | src/MakeGuidePool.py | broadinstitute/CRISPRiTilingDesign | cc07d2e5636cc91588b9d91e074a95e1514ceb93 | [
"MIT"
] | 1 | 2021-09-13T03:10:39.000Z | 2021-09-13T03:10:39.000Z | src/MakeGuidePool.py | broadinstitute/CRISPRiTilingDesign | cc07d2e5636cc91588b9d91e074a95e1514ceb93 | [
"MIT"
] | null | null | null | src/MakeGuidePool.py | broadinstitute/CRISPRiTilingDesign | cc07d2e5636cc91588b9d91e074a95e1514ceb93 | [
"MIT"
] | null | null | null | ###############################################################################
## Library code for designing CRISPRi screens
## Jesse Engreitz
## November 10, 2019
## Based on Charlie's gRNA design
## Tested with: "use .python-3.5.1; source /seq/lincRNA/Ben/VENV_MIP/bin/activate"
## TODO: Factor out helper code
fr... | 45.148607 | 263 | 0.678736 |
cf6a8c510777d88278a1d0baa02c629acff0de39 | 24,570 | py | Python | script/config.py | soumide1102/nubhlight | 85046add8b7e2c1419538864eb54205d33078772 | [
"BSD-3-Clause"
] | 16 | 2020-02-05T22:59:21.000Z | 2022-03-18T11:05:37.000Z | script/config.py | soumide1102/nubhlight | 85046add8b7e2c1419538864eb54205d33078772 | [
"BSD-3-Clause"
] | 13 | 2020-03-06T02:10:48.000Z | 2021-06-15T20:00:30.000Z | script/config.py | soumide1102/nubhlight | 85046add8b7e2c1419538864eb54205d33078772 | [
"BSD-3-Clause"
] | 4 | 2020-02-21T04:59:44.000Z | 2020-12-10T21:42:12.000Z | ################################################################################
# #
# CONFIGURATION AND COMPILATION ROUTINE #
# ... | 33.889655 | 91 | 0.588319 |
cf6b4412d0c395f437f036a7b2a75ce1aea65192 | 1,583 | py | Python | core/tests/test_models.py | UlmBlois/website | 01e652dd0c9c5b7026efe2a923ea3c4668d5a5b4 | [
"MIT"
] | null | null | null | core/tests/test_models.py | UlmBlois/website | 01e652dd0c9c5b7026efe2a923ea3c4668d5a5b4 | [
"MIT"
] | 2 | 2019-06-03T06:17:29.000Z | 2019-06-17T05:26:02.000Z | core/tests/test_models.py | UlmBlois/website | 01e652dd0c9c5b7026efe2a923ea3c4668d5a5b4 | [
"MIT"
] | null | null | null | from django.test import TestCase
# from django.db.utils import IntegrityError
from core.models import User
| 39.575 | 67 | 0.53127 |
cf6c5507b75e6007d8a4ce9dbdb616b545055ee9 | 7,550 | py | Python | model_main.py | hijune6/DGTL-for-VT-ReID | e15b6aca7136ec2c0e2b7f26274f9208b58c24b0 | [
"MIT"
] | 10 | 2021-01-06T03:21:48.000Z | 2021-11-29T21:01:40.000Z | model_main.py | hijune6/DGTL-for-VT-ReID | e15b6aca7136ec2c0e2b7f26274f9208b58c24b0 | [
"MIT"
] | 2 | 2021-03-30T13:12:23.000Z | 2021-11-06T08:36:22.000Z | model_main.py | hijune6/DGTL-for-VT-ReID | e15b6aca7136ec2c0e2b7f26274f9208b58c24b0 | [
"MIT"
] | 2 | 2021-07-10T08:25:43.000Z | 2021-11-29T21:01:43.000Z | import torch
import torch.nn as nn
from torch.nn import init
from torchvision import models
from torch.autograd import Variable
from resnet import resnet50, resnet18
import torch.nn.functional as F
import math
from attention import IWPA, AVG, MAX, GEM
# ###############################################################... | 33.705357 | 114 | 0.589139 |
cf6cd344f584cd701a4076d93e4150b1102f79aa | 1,448 | py | Python | crop_video.py | ckjellson/tt_tracker | 99800b586e517ea8f048cf2add85cb4b3b091f73 | [
"MIT"
] | 15 | 2020-12-22T08:50:52.000Z | 2022-03-24T09:48:51.000Z | crop_video.py | ckjellson/tt_tracker | 99800b586e517ea8f048cf2add85cb4b3b091f73 | [
"MIT"
] | 2 | 2021-07-04T02:23:00.000Z | 2021-07-05T01:05:47.000Z | crop_video.py | ckjellson/tt_tracker | 99800b586e517ea8f048cf2add85cb4b3b091f73 | [
"MIT"
] | 3 | 2021-01-17T14:39:51.000Z | 2022-01-01T23:52:18.000Z | import cv2
import numpy as np
'''
Loads two videos and generates an interface to crop these to equal length
and being synced in time.
Specify:
path1: path to first video
path2: path to second video
vidname: name of the instance to be created
'''
path1 = "videos_original\out_a_full.mp4"
path2 = "videos_or... | 25.857143 | 108 | 0.662983 |
cf6cd6b77bfdf21fcd5c36c02c38af0388c8c4c9 | 1,213 | py | Python | 1. simple_classify/simple_classify.py | doldam0/CSHDeepRNE | e8ae811d27cd81a2646fcf9088ba19cc8cb155ea | [
"Apache-2.0"
] | null | null | null | 1. simple_classify/simple_classify.py | doldam0/CSHDeepRNE | e8ae811d27cd81a2646fcf9088ba19cc8cb155ea | [
"Apache-2.0"
] | null | null | null | 1. simple_classify/simple_classify.py | doldam0/CSHDeepRNE | e8ae811d27cd81a2646fcf9088ba19cc8cb155ea | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
d = 2 #
N = 10 #
mean = 5 #
x1 = np.random.randn(N, d) + np.array([0, 0]) #
x2 = np.random.randn(N, d) + np.array([mean, mean]) #
plt.figure()
plt.scatter(x1[:, 0], x1[:, 1])
plt.scatter(x2[:, 0], x2[:, 1], marker='>')
x = np.concatenate((x1, x... | 18.953125 | 72 | 0.581204 |
cf6f00b3f506ab0a391f8529aa5bc7d2f8818414 | 10,003 | py | Python | pychemia/population/noncollinearmagmoms.py | quanshengwu/PyChemia | 98e9f7a1118b694dbda3ee75411ff8f8d7b9688b | [
"MIT"
] | 1 | 2021-03-26T12:34:45.000Z | 2021-03-26T12:34:45.000Z | pychemia/population/noncollinearmagmoms.py | quanshengwu/PyChemia | 98e9f7a1118b694dbda3ee75411ff8f8d7b9688b | [
"MIT"
] | null | null | null | pychemia/population/noncollinearmagmoms.py | quanshengwu/PyChemia | 98e9f7a1118b694dbda3ee75411ff8f8d7b9688b | [
"MIT"
] | null | null | null | import os
import numpy as np
from ._population import Population
from pychemia import pcm_log
from pychemia.utils.mathematics import spherical_to_cartesian, cartesian_to_spherical, rotate_towards_axis, \
angle_between_vectors
from pychemia.code.vasp import read_incar, read_poscar, VaspJob, VaspOutput
from pychemia.... | 42.747863 | 109 | 0.603519 |
cf706ce509e2571be6ee751f269f1f260863436a | 859 | py | Python | Ecommerce/migrations/0010_auto_20200203_0112.py | aryanshridhar/Ecommerce-Website | c582659e9b530555b9715ede7bb774c39f101c7e | [
"MIT"
] | 1 | 2020-06-01T16:41:33.000Z | 2020-06-01T16:41:33.000Z | Ecommerce/migrations/0010_auto_20200203_0112.py | aryanshridhar/Ecommerce-Website | c582659e9b530555b9715ede7bb774c39f101c7e | [
"MIT"
] | 4 | 2020-03-17T03:37:23.000Z | 2021-09-22T18:36:18.000Z | Ecommerce/migrations/0010_auto_20200203_0112.py | aryanshridhar/Ecommerce-Website | c582659e9b530555b9715ede7bb774c39f101c7e | [
"MIT"
] | null | null | null | # Generated by Django 2.2.7 on 2020-02-02 19:42
import datetime
from django.db import migrations, models
import django.db.models.deletion
from django.utils.timezone import utc
| 29.62069 | 114 | 0.613504 |
cf71abfca7c5e19ff69fd1894a754a844173e256 | 30,747 | py | Python | marmot/plottingmodules/reserves.py | equinor/Marmot | 99ab6336f920f460df335d4a1b3e4f36d847ae46 | [
"BSD-3-Clause"
] | 2 | 2021-08-05T19:52:02.000Z | 2021-12-10T23:47:52.000Z | marmot/plottingmodules/reserves.py | equinor/Marmot | 99ab6336f920f460df335d4a1b3e4f36d847ae46 | [
"BSD-3-Clause"
] | 21 | 2021-09-01T21:56:42.000Z | 2022-03-31T18:01:48.000Z | marmot/plottingmodules/reserves.py | equinor/Marmot | 99ab6336f920f460df335d4a1b3e4f36d847ae46 | [
"BSD-3-Clause"
] | 3 | 2021-12-14T18:12:33.000Z | 2022-03-25T18:27:26.000Z | # -*- coding: utf-8 -*-
"""Generator reserve plots.
This module creates plots of reserve provision and shortage at the generation
and region level.
@author: Daniel Levie
"""
import logging
import numpy as np
import pandas as pd
import datetime as dt
import matplotlib.pyplot as plt
import matplotlib as mpl
from matp... | 47.230415 | 148 | 0.606921 |
cf72823e6134abf9dc68d82573bb0ef74467bab2 | 431 | py | Python | yepes/contrib/emails/models.py | samuelmaudo/yepes | 1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb | [
"BSD-3-Clause"
] | null | null | null | yepes/contrib/emails/models.py | samuelmaudo/yepes | 1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb | [
"BSD-3-Clause"
] | null | null | null | yepes/contrib/emails/models.py | samuelmaudo/yepes | 1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding:utf-8 -*-
from yepes.apps import apps
AbstractConnection = apps.get_class('emails.abstract_models', 'AbstractConnection')
AbstractDelivery = apps.get_class('emails.abstract_models', 'AbstractDelivery')
AbstractMessage = apps.get_class('emails.abstract_models', 'AbstractMessage')
| 22.684211 | 83 | 0.774942 |
cf7389c672a6330e609175cc1c82ef3bfdccd1e5 | 1,111 | py | Python | tweets/management/commands/load_tweets.py | TylerFisher/nicar20 | b96fa73ef5e1907e361950058d8202f1473c11c0 | [
"MIT"
] | 6 | 2020-03-07T21:30:22.000Z | 2022-03-11T18:25:11.000Z | tweets/management/commands/load_tweets.py | TylerFisher/nicar20 | b96fa73ef5e1907e361950058d8202f1473c11c0 | [
"MIT"
] | 7 | 2020-03-05T16:20:46.000Z | 2021-09-22T18:45:11.000Z | tweets/management/commands/load_tweets.py | TylerFisher/nicar20 | b96fa73ef5e1907e361950058d8202f1473c11c0 | [
"MIT"
] | 1 | 2021-03-12T16:17:19.000Z | 2021-03-12T16:17:19.000Z | import json
import os
from datetime import datetime
from django.core.management.base import BaseCommand
from tweets.models import Tweet
| 33.666667 | 73 | 0.570657 |
cf7428c27c691770110fa52f6694724bc3c98a7d | 1,345 | py | Python | pentominos.py | wusui/pentomino_redux | 258b2f541329a6e7e20fc6b58534ab4201b6082f | [
"MIT"
] | null | null | null | pentominos.py | wusui/pentomino_redux | 258b2f541329a6e7e20fc6b58534ab4201b6082f | [
"MIT"
] | null | null | null | pentominos.py | wusui/pentomino_redux | 258b2f541329a6e7e20fc6b58534ab4201b6082f | [
"MIT"
] | null | null | null | """
Top level function calls for pentomino solver
"""
from tree_find_pents import build_pent_tree
from rect_find_x import solve_case
def fill_rectangles_with_pentominos(io_obj=print, low=3, high=7):
"""
Loop through rectangle sizes and solve for each. build_pent_tree
is called to initialize the tree. Io... | 28.617021 | 77 | 0.692937 |
cf746234a79fd1b2603a547db20b86892c27b565 | 95 | py | Python | tests/custom_template_path_root/conf.py | TimKam/sphinx-pretty-searchresults | 65fc8133f0fab70627c665e1ccfc6a5d45d16fc3 | [
"MIT"
] | 12 | 2016-07-30T21:33:03.000Z | 2018-04-30T22:05:07.000Z | tests/custom_template_path_root/conf.py | TimKam/sphinx-pretty-searchresults | 65fc8133f0fab70627c665e1ccfc6a5d45d16fc3 | [
"MIT"
] | 20 | 2016-08-02T09:34:35.000Z | 2018-05-27T12:40:12.000Z | tests/custom_template_path_root/conf.py | TimKam/sphinx-pretty-searchresults | 65fc8133f0fab70627c665e1ccfc6a5d45d16fc3 | [
"MIT"
] | 3 | 2020-11-23T05:56:53.000Z | 2020-11-23T05:57:11.000Z | master_doc = 'index'
extensions = ['sphinxprettysearchresults']
templates_path = ['_templates'] | 31.666667 | 42 | 0.778947 |
cf749fa7c904b5b2115b659f7bff3de680cdf478 | 2,440 | py | Python | cone_detector/wifi_communication/wifi_server.py | Art31/trekking-pro-cefetrj | 37ab58759b42978cbd8d950bd75c487e1292cb2b | [
"Apache-1.1"
] | null | null | null | cone_detector/wifi_communication/wifi_server.py | Art31/trekking-pro-cefetrj | 37ab58759b42978cbd8d950bd75c487e1292cb2b | [
"Apache-1.1"
] | null | null | null | cone_detector/wifi_communication/wifi_server.py | Art31/trekking-pro-cefetrj | 37ab58759b42978cbd8d950bd75c487e1292cb2b | [
"Apache-1.1"
] | null | null | null | # --------------------------------------------------------------------------- #
# Title: Wifi/Ethernet communication server script
# Author: Arthur Telles
# Date: 04/07/2018 (DD/MM/YYYY)
# Description: This function opens up a port for wifi/ethernet communication
# and listens to the channel, if it receives a string, ... | 36.41791 | 79 | 0.497951 |
cf7507975584b6a393e38ac302f9e0a02d47f87f | 5,168 | py | Python | ade/test/test_specs.py | vishalbelsare/ade | c2d16fe5544a130d509cb1e430b170a2b77e520b | [
"Apache-2.0"
] | 2 | 2020-03-02T19:49:41.000Z | 2020-05-26T08:01:31.000Z | ade/test/test_specs.py | vishalbelsare/ade | c2d16fe5544a130d509cb1e430b170a2b77e520b | [
"Apache-2.0"
] | 1 | 2021-04-16T14:51:50.000Z | 2021-04-16T14:51:50.000Z | ade/test/test_specs.py | vishalbelsare/ade | c2d16fe5544a130d509cb1e430b170a2b77e520b | [
"Apache-2.0"
] | 1 | 2020-05-26T08:01:32.000Z | 2020-05-26T08:01:32.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# ade:
# Asynchronous Differential Evolution.
#
# Copyright (C) 2018-20 by Edwin A. Suominen,
# http://edsuom.com/ade
#
# See edsuom.com for API documentation as well as information about
# Ed's background and other projects, software and otherwise.
#
# Licensed under th... | 31.705521 | 77 | 0.578173 |
cf761cff612f99448c2219c0693bb4c3d8909ca2 | 3,552 | py | Python | PastYearFeatures/preprocess_data.py | Slavkata/Forecast-Report | 3cfeac5ab6b60ad32e1b9433b3281b5336373c30 | [
"MIT"
] | 1 | 2019-04-11T12:48:44.000Z | 2019-04-11T12:48:44.000Z | PastYearFeatures/preprocess_data.py | Slavkata/Forecast-Report | 3cfeac5ab6b60ad32e1b9433b3281b5336373c30 | [
"MIT"
] | null | null | null | PastYearFeatures/preprocess_data.py | Slavkata/Forecast-Report | 3cfeac5ab6b60ad32e1b9433b3281b5336373c30 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as p
from datetime import datetime, timedelta
| 42.285714 | 111 | 0.572917 |
cf796151dc54985317c812883edb16dae656c141 | 33,664 | py | Python | pyvvo/app/population.py | GRIDAPPSD/gridappsd-pyvvo | 1497490db41fa9134b40949049d504764df13c28 | [
"BSD-2-Clause"
] | null | null | null | pyvvo/app/population.py | GRIDAPPSD/gridappsd-pyvvo | 1497490db41fa9134b40949049d504764df13c28 | [
"BSD-2-Clause"
] | null | null | null | pyvvo/app/population.py | GRIDAPPSD/gridappsd-pyvvo | 1497490db41fa9134b40949049d504764df13c28 | [
"BSD-2-Clause"
] | 2 | 2018-06-11T23:51:58.000Z | 2021-05-04T21:15:33.000Z | '''
Created on Aug 15, 2017
@author: thay838
'''
# Standard library:
import math
import random
import os
from queue import Queue
import threading
import sys
import copy
import logging
import time
# pyvvo
from individual import individual, CAPSTATUS
import populationManager
import helper
# Installed
import simplejson... | 42.027466 | 86 | 0.518655 |
cf7abb6929d2eaff8149e87551c93306bdbef93e | 1,240 | py | Python | main.py | atenagm1375/object-recognition-SNN | 83083b71e049f3277843b69c1ddf61d12dd87e80 | [
"MIT"
] | 1 | 2020-08-05T12:20:37.000Z | 2020-08-05T12:20:37.000Z | main.py | atenagm1375/object-recognition-SNN | 83083b71e049f3277843b69c1ddf61d12dd87e80 | [
"MIT"
] | 1 | 2020-10-19T02:54:28.000Z | 2020-10-19T05:56:26.000Z | main.py | atenagm1375/object-recognition-SNN | 83083b71e049f3277843b69c1ddf61d12dd87e80 | [
"MIT"
] | null | null | null | """
OBJECT RECOGNITION USING A SPIKING NEURAL NETWORK.
* The main code script to run the model.
@author: atenagm1375
"""
# %% IMPORT MODULES
import torch
from utils.data import CaltechDatasetLoader, CaltechDataset
from utils.model import DeepCSNN
from tqdm import tqdm
# %% ENVIRONMENT CONSTANTS
PATH = "../101_... | 24.8 | 74 | 0.702419 |
cf7b65fc64ee28b65b720c458202445033d75918 | 142,649 | py | Python | dcase_framework/datasets.py | thisisjl/DCASE2017-modified | 4755e712e3b53277120c142cc6c14f279cc396d4 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | dcase_framework/datasets.py | thisisjl/DCASE2017-modified | 4755e712e3b53277120c142cc6c14f279cc396d4 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | dcase_framework/datasets.py | thisisjl/DCASE2017-modified | 4755e712e3b53277120c142cc6c14f279cc396d4 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Datasets
==================
Classes for dataset handling
Dataset - Base class
^^^^^^^^^^^^^^^^^^^^
This is the base class, and all the specialized datasets are inherited from it. One should never use base class itself.
Usage examples:
.. code-block:: python
:lin... | 38.890131 | 192 | 0.55223 |
cf7c5b97b56df4fee279442b61a41c98803b6f1e | 40,156 | py | Python | python/CompositionMaker.py | agroimpacts/imager | 0fe8819a51e069c1e010cea0975c51a2a8794c42 | [
"Apache-2.0"
] | 1 | 2021-09-01T18:48:12.000Z | 2021-09-01T18:48:12.000Z | python/CompositionMaker.py | agroimpacts/imager | 0fe8819a51e069c1e010cea0975c51a2a8794c42 | [
"Apache-2.0"
] | null | null | null | python/CompositionMaker.py | agroimpacts/imager | 0fe8819a51e069c1e010cea0975c51a2a8794c42 | [
"Apache-2.0"
] | null | null | null | """
This module is developed to automated the process of making composite images in parallel for MappingAfrica project. The whole process
is consisted of two steps: 1) make planet ARD images and 2) call AFMapTSComposite (c-based exe) for making composites
The module can be called by using one of three modes: 1) tile... | 48.380723 | 162 | 0.600433 |
cf7e8de147f11b4fcfa0cbbfb324b213e9db0bf8 | 5,152 | py | Python | terminal.py | JetStarBlues/Intel-8080-Emulator | febfab46def382589d2d4f1d846d9209275baf51 | [
"MIT"
] | 4 | 2020-12-17T08:15:34.000Z | 2022-02-07T17:42:19.000Z | terminal.py | JetStarBlues/Intel-8080-Emulator | febfab46def382589d2d4f1d846d9209275baf51 | [
"MIT"
] | null | null | null | terminal.py | JetStarBlues/Intel-8080-Emulator | febfab46def382589d2d4f1d846d9209275baf51 | [
"MIT"
] | 1 | 2020-12-17T08:39:29.000Z | 2020-12-17T08:39:29.000Z | # ========================================================================================
#
# Description:
#
# Simple Terminal Emulator
#
# Interface:
# Input -> keyboard
# Output -> screen
#
# Attribution:
#
# Code by www.jk-quantized.com
#
# Redistribution and use of this code in sou... | 19.891892 | 90 | 0.60889 |
cf8187003fae1ed8200843183ae5336b918c8054 | 18,302 | py | Python | service/build/openstack/s3p_functions.py | matt-welch/docker-devstack | e7f1902c21cdd506239a6270813c422a058e037b | [
"Apache-2.0"
] | 4 | 2017-05-18T23:24:51.000Z | 2018-04-09T02:47:34.000Z | service/build/openstack/s3p_functions.py | matt-welch/docker-devstack | e7f1902c21cdd506239a6270813c422a058e037b | [
"Apache-2.0"
] | null | null | null | service/build/openstack/s3p_functions.py | matt-welch/docker-devstack | e7f1902c21cdd506239a6270813c422a058e037b | [
"Apache-2.0"
] | 1 | 2020-09-30T20:12:12.000Z | 2020-09-30T20:12:12.000Z | #!/usr/bin/env python
import s3p_openstack_tools as s3p
from datetime import datetime
import argparse
import sys
import os
import pdb
from time import sleep
debug_mode=False
verbosity_level=0
# cloud test control: check main() for definition of cloud_info using these
validate_existing = True
attach_to_router=True
pin_... | 37.81405 | 116 | 0.647743 |
cf819ed4b5395493fc3886a54331635b6add69a6 | 532 | py | Python | src/prosi3d/meta/cluster.py | pzimbrod/prosi-3d | 6eaa5b9cdb7192f542417429b1775c3e61a9bc60 | [
"MIT"
] | null | null | null | src/prosi3d/meta/cluster.py | pzimbrod/prosi-3d | 6eaa5b9cdb7192f542417429b1775c3e61a9bc60 | [
"MIT"
] | 3 | 2021-11-11T07:32:01.000Z | 2021-11-23T15:42:26.000Z | src/prosi3d/meta/cluster.py | pzimbrod/prosi-3d | 6eaa5b9cdb7192f542417429b1775c3e61a9bc60 | [
"MIT"
] | null | null | null | """
Abstract Base Class for data models that conduct clustering upon the input data
"""
from abc import ABC, ABCMeta, abstractmethod
from .analysis import DataModel
| 28 | 87 | 0.680451 |
cf823744d5b8655d1a2bd51a8548fef621b0565d | 3,749 | py | Python | nymms/schemas/types/__init__.py | isabella232/nymms | 75fb3d6f56488d9fdd6366557e28acb728377de5 | [
"BSD-2-Clause"
] | 26 | 2015-01-15T23:42:43.000Z | 2022-02-28T09:12:50.000Z | nymms/schemas/types/__init__.py | cloudtools/nymms | 75fb3d6f56488d9fdd6366557e28acb728377de5 | [
"BSD-2-Clause"
] | 9 | 2015-02-09T15:44:25.000Z | 2016-06-04T21:06:03.000Z | nymms/schemas/types/__init__.py | isabella232/nymms | 75fb3d6f56488d9fdd6366557e28acb728377de5 | [
"BSD-2-Clause"
] | 13 | 2015-03-05T22:53:24.000Z | 2021-02-11T11:33:33.000Z | import logging
import collections
import json
import time
import string
import random
logger = logging.getLogger(__name__)
from schematics.types import BaseType
from schematics.exceptions import ValidationError
from nymms.utils import parse_time
import arrow
StateObject = collections.namedtuple('StateObject', [... | 29.519685 | 77 | 0.609763 |
cf8336c1c4f8982217d1c175edb6b0149da49e4b | 4,949 | py | Python | addons/website_livechat/tests/test_ui.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/website_livechat/tests/test_ui.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/website_livechat/tests/test_ui.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import tests, _
from odoo.addons.website_livechat.tests.common import TestLivechatCommon
| 56.238636 | 153 | 0.711457 |
cf85f58c32d094b06ea8d41f217a771087151e37 | 9,529 | py | Python | nvapi/dx/d3d10_1_h.py | kdschlosser/nvapi | f56c1b74e3066be1fa0bb21326403cd33fda16d1 | [
"MIT"
] | 5 | 2020-06-05T23:56:37.000Z | 2021-06-12T06:21:15.000Z | nvapi/dx/d3d10_1_h.py | kdschlosser/nvapi | f56c1b74e3066be1fa0bb21326403cd33fda16d1 | [
"MIT"
] | 1 | 2020-12-03T18:25:45.000Z | 2020-12-05T14:55:07.000Z | nvapi/dx/d3d10_1_h.py | kdschlosser/nvapi | f56c1b74e3066be1fa0bb21326403cd33fda16d1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# ***********************************************************************************
# MIT License
#
# Copyright (c) 2020 Kevin G. Schlosser
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),... | 27.303725 | 199 | 0.689264 |
cf8791148635afc590dcf0872acd67e16d1cef59 | 4,327 | py | Python | python/apigw-dynamodb-sfn-with-heavytask/lambda_script/lambda_handler.py | gsy0911/aws-cdk-small-examples | e4b4be076d22f5d35f640e59a6ca346988baa1af | [
"Apache-2.0"
] | 2 | 2021-01-19T18:15:22.000Z | 2021-02-09T22:18:09.000Z | python/apigw-dynamodb-sfn-with-heavytask/lambda_script/lambda_handler.py | gsy0911/aws-cdk-small-examples | e4b4be076d22f5d35f640e59a6ca346988baa1af | [
"Apache-2.0"
] | 14 | 2020-11-20T01:54:27.000Z | 2021-01-12T08:15:39.000Z | python/apigw-dynamodb-sfn-with-heavytask/lambda_script/lambda_handler.py | gsy0911/aws-cdk-small-examples | e4b4be076d22f5d35f640e59a6ca346988baa1af | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
import decimal
import json
import os
import random
import uuid
import boto3
from botocore.exceptions import ClientError
# Helper class to convert a DynamoDB item to JSON.
# Get the service resource.
dynamodb = boto3.resource('dynamodb')
step_functions = boto3.client("stepfunctions")
s... | 25.156977 | 81 | 0.55951 |
cf87f72be3ecfcad4b46d934e4b64d07c6c0898a | 8,972 | py | Python | agutil/io/src/queuedsocket.py | agraubert/agutil | d9a568df01959ed985c9c8e77bdd501ac13bdbbf | [
"MIT"
] | 3 | 2017-06-05T15:46:22.000Z | 2019-05-22T21:26:54.000Z | agutil/io/src/queuedsocket.py | agraubert/agutil | d9a568df01959ed985c9c8e77bdd501ac13bdbbf | [
"MIT"
] | 93 | 2016-06-22T18:57:47.000Z | 2022-02-14T10:50:27.000Z | agutil/io/src/queuedsocket.py | agraubert/agutil | d9a568df01959ed985c9c8e77bdd501ac13bdbbf | [
"MIT"
] | null | null | null | from .socket import Socket
from socket import timeout as sockTimeout
from ... import Logger, DummyLog
import threading
import sys
import warnings
_QUEUEDSOCKET_IDENTIFIER_ = '<agutil.io.queuedsocket:1.0.0>'
| 35.74502 | 79 | 0.49008 |
cf88808935b10cbd4d8294c1021bdfebd7c7988d | 3,500 | py | Python | test_autofit/tools/test_edenise/test_import.py | rhayes777/PyAutoF | 87f56419348833b285b00da1a524e329588e0b01 | [
"MIT"
] | 39 | 2019-01-24T10:45:23.000Z | 2022-03-18T09:37:59.000Z | test_autofit/tools/test_edenise/test_import.py | rhayes777/PyAutoF | 87f56419348833b285b00da1a524e329588e0b01 | [
"MIT"
] | 260 | 2018-11-27T12:56:33.000Z | 2022-03-31T16:08:59.000Z | test_autofit/tools/test_edenise/test_import.py | rhayes777/PyAutoF | 87f56419348833b285b00da1a524e329588e0b01 | [
"MIT"
] | 13 | 2018-11-30T16:49:05.000Z | 2022-01-21T17:39:29.000Z | import pytest
from autofit.tools.edenise import Package, Import, LineItem
def test_local_import_type(
local_import
):
assert isinstance(
local_import,
Import
)
def test_local_import_target(
local_import
):
string = " from VIS_CTI_Autofit.VIS_CTI_Tools.VIS_CTI_Edenis... | 23.489933 | 119 | 0.673429 |
cf8956920e31a2a1b9a2d53f83cfb06a20c82cae | 9,569 | py | Python | bin/lmi-add-cat.py | mkelley/dct-redux | 935dbf49d77d0856fe55991bd1eeadc3a2ee8291 | [
"MIT"
] | null | null | null | bin/lmi-add-cat.py | mkelley/dct-redux | 935dbf49d77d0856fe55991bd1eeadc3a2ee8291 | [
"MIT"
] | null | null | null | bin/lmi-add-cat.py | mkelley/dct-redux | 935dbf49d77d0856fe55991bd1eeadc3a2ee8291 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from astropy.modeling.models import Const1D, Const2D, Gaussian1D, Gaussian2D
from astropy.modeling.fitting import LevMarLSQFitter
from astropy.modeling import Fittable2DModel, Parameter
import sys
import logging
import argparse
import warnings
from datetime import datetime
from glob import glob
... | 32.770548 | 91 | 0.560351 |
cf896e2bac34dddb9638290d95518117931f9f94 | 522 | py | Python | api/v1/exceptions.py | SVArago/alexia | 96ae6dfabb893388bd4610ea971574a993b8029d | [
"BSD-3-Clause"
] | 3 | 2015-12-22T00:50:43.000Z | 2017-01-07T18:09:36.000Z | api/v1/exceptions.py | SVArago/alexia | 96ae6dfabb893388bd4610ea971574a993b8029d | [
"BSD-3-Clause"
] | 24 | 2015-11-02T15:38:40.000Z | 2017-01-07T21:18:42.000Z | api/v1/exceptions.py | SVArago/alexia | 96ae6dfabb893388bd4610ea971574a993b8029d | [
"BSD-3-Clause"
] | null | null | null | from jsonrpc.exceptions import Error
| 20.076923 | 71 | 0.653257 |
d83d65f8e83449bb166797c179bfdf461170d4c2 | 546 | py | Python | tests/urls.py | klowe0100/wagtail-transfer | 90245b1cff1f542a3698273e745d858857de8722 | [
"BSD-3-Clause"
] | null | null | null | tests/urls.py | klowe0100/wagtail-transfer | 90245b1cff1f542a3698273e745d858857de8722 | [
"BSD-3-Clause"
] | null | null | null | tests/urls.py | klowe0100/wagtail-transfer | 90245b1cff1f542a3698273e745d858857de8722 | [
"BSD-3-Clause"
] | 1 | 2022-02-23T11:45:04.000Z | 2022-02-23T11:45:04.000Z | from __future__ import absolute_import, unicode_literals
from django.urls import include, re_path
from wagtail.admin import urls as wagtailadmin_urls
from wagtail.core import urls as wagtail_urls
from wagtail_transfer import urls as wagtailtransfer_urls
urlpatterns = [
re_path(r'^admin/', include(wagtailadmin_u... | 30.333333 | 73 | 0.776557 |
d83ea81832da4a05b350d15541858a23ca76d07e | 14,397 | py | Python | test/some-old-test-cases.py | scramjetorg/framework-python | b71a117abf5e89a86c8869106a7b65fb4bbade02 | [
"MIT"
] | 16 | 2021-12-10T11:15:47.000Z | 2022-03-09T10:55:39.000Z | test/some-old-test-cases.py | scramjetorg/framework-python | b71a117abf5e89a86c8869106a7b65fb4bbade02 | [
"MIT"
] | 1 | 2021-12-13T11:48:50.000Z | 2021-12-13T12:26:42.000Z | test/some-old-test-cases.py | scramjetorg/framework-python | b71a117abf5e89a86c8869106a7b65fb4bbade02 | [
"MIT"
] | 1 | 2021-12-10T17:57:10.000Z | 2021-12-10T17:57:10.000Z | #!/bin/env python3
import asyncio
import sys
from pprint import pprint
import random
import pyfca
import scramjet.utils as utils
from scramjet.ansi_color_codes import *
log = utils.LogWithTimer.log
fmt = utils.print_formatted
random.seed('Pyfca')
# Use to change delays mocking async function execution
SLOMO_FACTOR ... | 33.020642 | 87 | 0.659026 |
d83ef20b6d33a02cf83b7e115aa54ecae01da083 | 1,729 | py | Python | pdistcc/tests/test_server.py | asheplyakov/pdistcc | b514a17542bf687c8c7c4ec6e32dfb558ddbe600 | [
"WTFPL"
] | null | null | null | pdistcc/tests/test_server.py | asheplyakov/pdistcc | b514a17542bf687c8c7c4ec6e32dfb558ddbe600 | [
"WTFPL"
] | 4 | 2019-08-22T14:31:15.000Z | 2019-08-22T14:37:30.000Z | pdistcc/tests/test_server.py | asheplyakov/pdistcc | b514a17542bf687c8c7c4ec6e32dfb558ddbe600 | [
"WTFPL"
] | null | null | null |
import subprocess
from unittest.mock import MagicMock
from .fakeops import (
FakeFileOpsFactory,
FakeSocket,
FakeTempFileFactory,
)
from ..server import (
Distccd
)
| 28.344262 | 73 | 0.566802 |
d8400315a945f18534e51ba7e9f07635b5c88b42 | 1,381 | py | Python | examples/rl/train/play.py | ONLYA/RoboGrammar | 4b9725739b24dc9df4049866c177db788b1e458f | [
"MIT"
] | 156 | 2020-10-02T14:33:22.000Z | 2022-03-17T22:30:30.000Z | examples/rl/train/play.py | ONLYA/RoboGrammar | 4b9725739b24dc9df4049866c177db788b1e458f | [
"MIT"
] | 10 | 2020-12-14T01:24:03.000Z | 2022-02-16T10:01:16.000Z | examples/rl/train/play.py | ONLYA/RoboGrammar | 4b9725739b24dc9df4049866c177db788b1e458f | [
"MIT"
] | 43 | 2020-10-02T00:01:17.000Z | 2022-03-06T17:02:38.000Z | import sys
import os
base_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../../')
sys.path.append(base_dir)
sys.path.append(os.path.join(base_dir, 'rl'))
import numpy as np
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import gym
gym.log... | 23.810345 | 82 | 0.766112 |
d84175e37630d255baf90653a9fe79cb0117e569 | 644 | py | Python | corere/main/migrations/0012_auto_20210730_1522.py | Xarthisius/dataverse-corere | 016b80445c7b226ae7fb44d34daa84399b9acab6 | [
"MIT"
] | 9 | 2019-06-18T20:11:27.000Z | 2021-02-10T19:20:08.000Z | corere/main/migrations/0012_auto_20210730_1522.py | Xarthisius/dataverse-corere | 016b80445c7b226ae7fb44d34daa84399b9acab6 | [
"MIT"
] | 9 | 2020-01-10T22:11:56.000Z | 2021-07-28T18:19:53.000Z | corere/main/migrations/0012_auto_20210730_1522.py | Xarthisius/dataverse-corere | 016b80445c7b226ae7fb44d34daa84399b9acab6 | [
"MIT"
] | 2 | 2021-09-17T15:48:28.000Z | 2021-10-07T13:32:38.000Z | # Generated by Django 3.2.5 on 2021-07-30 15:22
from django.db import migrations, models
| 26.833333 | 87 | 0.624224 |
d84236ae326d2eb9bf0d99f23573723fff52b5b0 | 4,259 | py | Python | DTM/main.py | boomsbloom/dtm-fmri | 159aab87f04b745d874b53f64fd30703b4d5a70c | [
"MIT"
] | 4 | 2018-11-27T01:35:30.000Z | 2022-01-27T01:17:11.000Z | DTM/main.py | boomsbloom/dtm-fmri | 159aab87f04b745d874b53f64fd30703b4d5a70c | [
"MIT"
] | null | null | null | DTM/main.py | boomsbloom/dtm-fmri | 159aab87f04b745d874b53f64fd30703b4d5a70c | [
"MIT"
] | 1 | 2018-11-27T01:35:33.000Z | 2018-11-27T01:35:33.000Z | '''
==============================================
====== DYNAMIC TOPIC MODELING FOR FMRI =======
==============================================
Assumes subject timeseries have been
processed through:
1) binning
2) text creation (corr matrix as docs)
=========================================... | 38.369369 | 105 | 0.607185 |
d842eec02448696f44a1a56ec6f02fae7e47a590 | 1,436 | py | Python | learning_python/lesson7/exercise4.py | fallenfuzz/pynet | 9624d83cca160fd325a34e838e4474c9b80fe2ab | [
"Apache-2.0"
] | 528 | 2015-01-07T15:28:51.000Z | 2022-03-27T09:45:37.000Z | learning_python/lesson7/exercise4.py | fallenfuzz/pynet | 9624d83cca160fd325a34e838e4474c9b80fe2ab | [
"Apache-2.0"
] | 19 | 2015-07-01T23:52:27.000Z | 2021-09-22T04:30:34.000Z | learning_python/lesson7/exercise4.py | fallenfuzz/pynet | 9624d83cca160fd325a34e838e4474c9b80fe2ab | [
"Apache-2.0"
] | 555 | 2015-01-18T07:21:43.000Z | 2022-03-20T21:25:22.000Z | #!/usr/bin/env python
"""
Take the YAML file and corresponding data structure that you defined in exercise3b:
{'interfaces': {
'Ethernet1': {'mode': 'access', 'vlan': 10},
'Ethernet2': {'mode': 'access', 'vlan': 20},
'Ethernet3': {'mode': 'trunk',
'native_vlan': 1,
'trun... | 23.933333 | 94 | 0.732591 |
d843e4b01b7764ad4859ffea4d58b208b95d07a4 | 230 | py | Python | finance_ml/model_selection/__init__.py | BTETON/finance_ml | a585be2d04db5a749eb6b39b7336e5aeb30d6327 | [
"MIT"
] | 446 | 2018-09-05T18:28:51.000Z | 2022-03-28T23:45:41.000Z | finance_ml/model_selection/__init__.py | BTETON/finance_ml | a585be2d04db5a749eb6b39b7336e5aeb30d6327 | [
"MIT"
] | 3 | 2019-03-26T13:48:51.000Z | 2021-10-31T11:00:14.000Z | finance_ml/model_selection/__init__.py | BTETON/finance_ml | a585be2d04db5a749eb6b39b7336e5aeb30d6327 | [
"MIT"
] | 164 | 2018-09-12T18:37:25.000Z | 2022-03-17T06:30:12.000Z | from .kfold import PurgedKFold, CPKFold, generate_signals
from .score import cv_score
from .pipeline import Pipeline
from .hyper import clf_hyper_fit
from .distribution import LogUniformGen, log_uniform
from .utils import evaluate | 38.333333 | 57 | 0.847826 |
d84516d72613b23b75ae9e74070c183e56e9d699 | 3,322 | py | Python | utils/helper.py | kirk86/calibration | cdbeb9fc9326785e05c289fa9de9fc88d1539250 | [
"MIT"
] | 24 | 2018-01-13T12:07:40.000Z | 2021-04-25T06:35:52.000Z | utils/helper.py | kirk86/calibration | cdbeb9fc9326785e05c289fa9de9fc88d1539250 | [
"MIT"
] | null | null | null | utils/helper.py | kirk86/calibration | cdbeb9fc9326785e05c289fa9de9fc88d1539250 | [
"MIT"
] | 5 | 2018-01-15T14:30:11.000Z | 2021-06-19T23:42:49.000Z | import tensorflow as tf
# Adapeted from
# https://gist.github.com/kukuruza/03731dc494603ceab0c5#gistcomment-1879326
def on_grid(kernel, grid_side, pad=1):
"""Visualize conv. features as an image (mostly for the 1st layer).
Place kernel into a grid, with some paddings between adjacent filters.
Args:
... | 31.339623 | 94 | 0.618001 |
d84582c0c8bdca35e7b408f03d12bcdbc039c3f0 | 252 | py | Python | setup.py | KieberLab/indCAPS | 6b0a75d99f39a3273ed31fc6cf45ba1b002ca313 | [
"BSD-3-Clause"
] | 1 | 2018-04-13T18:02:27.000Z | 2018-04-13T18:02:27.000Z | setup.py | KieberLab/indCAPS | 6b0a75d99f39a3273ed31fc6cf45ba1b002ca313 | [
"BSD-3-Clause"
] | null | null | null | setup.py | KieberLab/indCAPS | 6b0a75d99f39a3273ed31fc6cf45ba1b002ca313 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python2
from setuptools import setup
setup(name='indCAPS',
version='0.1',
description='OpenShift App',
author='Charles Hodgens',
author_email='hodgens@email.unc.edu',
# install_requires=['Flask==0.10.1'],
) | 22.909091 | 43 | 0.650794 |
d845c8b1f227bb85466c78b3c158732c8901248a | 9,474 | py | Python | sparse_decomposition/decomposition/decomposition.py | bdpedigo/sparse_matrix_analysis | dbdff69b8ec56f60ba96b723a616f442755eacda | [
"MIT"
] | 2 | 2021-03-18T14:51:52.000Z | 2021-03-18T16:05:55.000Z | sparse_decomposition/decomposition/decomposition.py | bdpedigo/sparse_matrix_analysis | dbdff69b8ec56f60ba96b723a616f442755eacda | [
"MIT"
] | 1 | 2021-03-18T05:08:25.000Z | 2021-03-18T16:17:05.000Z | sparse_decomposition/decomposition/decomposition.py | bdpedigo/sparse_matrix_analysis | dbdff69b8ec56f60ba96b723a616f442755eacda | [
"MIT"
] | null | null | null | # Some of the implementation inspired by:
# REF: https://github.com/fchen365/epca
import time
from abc import abstractmethod
import numpy as np
from factor_analyzer import Rotator
from sklearn.base import BaseEstimator
from sklearn.preprocessing import StandardScaler
from sklearn.utils import check_array
from graspo... | 26.389972 | 88 | 0.541799 |
d8460399c532214a703651f1b44dd2db303623f8 | 829 | py | Python | guess_a_number.py | peterhogan/python | bc6764f7794a862ff0d138bad80f1d6313984dcd | [
"MIT"
] | null | null | null | guess_a_number.py | peterhogan/python | bc6764f7794a862ff0d138bad80f1d6313984dcd | [
"MIT"
] | null | null | null | guess_a_number.py | peterhogan/python | bc6764f7794a862ff0d138bad80f1d6313984dcd | [
"MIT"
] | null | null | null | import maths
import random
print "Let's guess a number."
bottom = input("Pick a range; bottom number: ")
top = input("Pick a top number? ")
guess_range = range(bottom, top+1)
ans = random.randint(bottom, top)
games = 0
average_guesses = []
again = 'y'
while again == 'y':
ans = random.randint(bottom, top)
games += 1... | 23.027778 | 88 | 0.656212 |
d84756d571c6e68a53b483af37314d8d7f8cfdb7 | 8,602 | py | Python | pycqed/instrument_drivers/meta_instrument/inspire_dependency_graph.py | nuttamas/PycQED_py3 | 1ee35c7428d36ed42ba4afb5d4bda98140b2283e | [
"MIT"
] | 60 | 2016-08-03T10:00:18.000Z | 2021-11-10T11:46:16.000Z | pycqed/instrument_drivers/meta_instrument/inspire_dependency_graph.py | nuttamas/PycQED_py3 | 1ee35c7428d36ed42ba4afb5d4bda98140b2283e | [
"MIT"
] | 512 | 2016-08-03T17:10:02.000Z | 2022-03-31T14:03:43.000Z | pycqed/instrument_drivers/meta_instrument/inspire_dependency_graph.py | nuttamas/PycQED_py3 | 1ee35c7428d36ed42ba4afb5d4bda98140b2283e | [
"MIT"
] | 34 | 2016-10-19T12:00:52.000Z | 2022-03-19T04:43:26.000Z | ###########################################################################
# AutoDepGraph for Quantum Inspire
###########################################################################
"""
Third version of Graph Based Tuneup designed specifically for the Quantum
Inspire project. Includes only routines relevant for tu... | 53.7625 | 134 | 0.48977 |
d8477deb4df7303b173e0775680abd358d3a62aa | 4,767 | py | Python | scripts/edinburgh.py | LibrariesHacked/mobilelibraries-data | f14e891261a2d170326f92395f4a41867e8ceef7 | [
"MIT"
] | null | null | null | scripts/edinburgh.py | LibrariesHacked/mobilelibraries-data | f14e891261a2d170326f92395f4a41867e8ceef7 | [
"MIT"
] | 92 | 2019-04-13T21:59:34.000Z | 2020-11-27T22:58:28.000Z | scripts/edinburgh.py | LibrariesHacked/mobilelibraries-data | f14e891261a2d170326f92395f4a41867e8ceef7 | [
"MIT"
] | null | null | null | """Web scrapes Edinburgh mobile library pages """
from urllib.parse import quote
from datetime import datetime
import json
import os
import csv
import requests
import re
from bs4 import BeautifulSoup
from _common import create_mobile_library_file
WEBSITE = 'https://www.edinburgh.gov.uk/'
DATA_SOURCE = 'directory/16/m... | 36.953488 | 101 | 0.487099 |
d847fb8c8919e26bc85ee01a5b8f35e5c2e9e44d | 6,823 | py | Python | alipay/aop/api/domain/MiniAppDeployResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/MiniAppDeployResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/MiniAppDeployResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
| 33.121359 | 87 | 0.611608 |
d8481933aca7e45d1f0159bdf11312459e4c9f9d | 2,144 | py | Python | tests/test_routex/mospp_test.py | alan-turing-institute/urbanroute | 35943cad7ed260460cfdbc9dd5f3f0a58b4b6b2b | [
"MIT"
] | 2 | 2021-11-08T23:00:01.000Z | 2022-03-04T21:09:17.000Z | tests/test_routex/mospp_test.py | alan-turing-institute/urbanroute | 35943cad7ed260460cfdbc9dd5f3f0a58b4b6b2b | [
"MIT"
] | 29 | 2020-06-17T09:21:00.000Z | 2020-09-17T15:05:08.000Z | tests/test_routex/mospp_test.py | alan-turing-institute/urbanroute | 35943cad7ed260460cfdbc9dd5f3f0a58b4b6b2b | [
"MIT"
] | null | null | null | import pytest
import json
from graph_tool.all import load_graph, Graph
from routex import mospp
with open("./tests/test_routex/large_solution.json", "r") as read_file:
data = json.load(read_file)
| 27.844156 | 87 | 0.60028 |
d84ae2a8b11a33b8cd7106e118cbb32ef91f1ba6 | 9,871 | py | Python | tests/conftest.py | ewjoachim/python-coverage-comment-action | a22d6abc9dc853fc134cba3460fbdb47412d60b9 | [
"MIT"
] | 2 | 2022-02-04T09:22:47.000Z | 2022-03-13T21:34:17.000Z | tests/conftest.py | ewjoachim/python-coverage-comment-action | a22d6abc9dc853fc134cba3460fbdb47412d60b9 | [
"MIT"
] | 4 | 2022-01-30T21:46:43.000Z | 2022-03-28T20:32:11.000Z | tests/conftest.py | ewjoachim/python-coverage-comment-action | a22d6abc9dc853fc134cba3460fbdb47412d60b9 | [
"MIT"
] | 1 | 2022-03-18T14:44:37.000Z | 2022-03-18T14:44:37.000Z | import datetime
import functools
import io
import os
import zipfile
import httpx
import pytest
from coverage_comment import coverage as coverage_module
from coverage_comment import github_client, settings
| 28.947214 | 102 | 0.516969 |
d84d0913e3105408f6f2a94b26bbe2105679d3cd | 31 | py | Python | xvision/ops/functional.py | jimmysue/xvision | bf5aa567a197b3e4c9fdd285c80b4f7512d14d7a | [
"MIT"
] | 3 | 2021-04-08T10:50:53.000Z | 2021-11-15T07:26:16.000Z | xvision/ops/functional.py | jimmysue/xvision | bf5aa567a197b3e4c9fdd285c80b4f7512d14d7a | [
"MIT"
] | 3 | 2021-08-05T07:40:52.000Z | 2021-11-16T05:53:29.000Z | xvision/ops/functional.py | jimmysue/xvision | bf5aa567a197b3e4c9fdd285c80b4f7512d14d7a | [
"MIT"
] | 1 | 2021-12-15T05:57:48.000Z | 2021-12-15T05:57:48.000Z | from .emd_loss import emd_loss
| 15.5 | 30 | 0.83871 |
d84e1367a97b3daad73881d637cea224686cd672 | 331 | py | Python | test_lambda.py | unbiased-coder/python-aws-lambda-guide | 36c3112a0a49eca1ddcaef967ca80fac573f50ac | [
"Unlicense"
] | null | null | null | test_lambda.py | unbiased-coder/python-aws-lambda-guide | 36c3112a0a49eca1ddcaef967ca80fac573f50ac | [
"Unlicense"
] | null | null | null | test_lambda.py | unbiased-coder/python-aws-lambda-guide | 36c3112a0a49eca1ddcaef967ca80fac573f50ac | [
"Unlicense"
] | null | null | null | import os
import json
| 25.461538 | 97 | 0.595166 |
d84f54c4f28abf2055aeef23ddcd5559c795a440 | 3,080 | py | Python | src/com/runner/InputService.py | avijit90/tic-tac-toe | 737f74e828a6a59f26af1edc38e915b86c4a8e9d | [
"Apache-2.0"
] | null | null | null | src/com/runner/InputService.py | avijit90/tic-tac-toe | 737f74e828a6a59f26af1edc38e915b86c4a8e9d | [
"Apache-2.0"
] | null | null | null | src/com/runner/InputService.py | avijit90/tic-tac-toe | 737f74e828a6a59f26af1edc38e915b86c4a8e9d | [
"Apache-2.0"
] | null | null | null | from colorama import Fore, Style
from Player import Player
| 41.621622 | 126 | 0.64026 |
d84fb543ffa833bbe5448f17c96e8318c6bb4f0d | 1,234 | py | Python | bin/MLEout2tab_NA.py | gaofeng21cn/IDP-fusion | 052ac4f868fd416e10165ef4891804d25edc8862 | [
"Apache-2.0"
] | 5 | 2017-09-18T18:21:26.000Z | 2020-05-01T23:29:26.000Z | bin/MLEout2tab_NA.py | gaofeng21cn/IDP-fusion | 052ac4f868fd416e10165ef4891804d25edc8862 | [
"Apache-2.0"
] | 3 | 2018-11-26T16:35:12.000Z | 2021-11-22T07:16:51.000Z | bin/MLEout2tab_NA.py | gaofeng21cn/IDP-fusion | 052ac4f868fd416e10165ef4891804d25edc8862 | [
"Apache-2.0"
] | 4 | 2018-01-02T13:06:39.000Z | 2020-04-14T13:20:52.000Z | #!/usr/bin/python
import sys
import os
if len(sys.argv) >= 2 :
exp_filename = sys.argv[1]
else:
print("usage: ")
print("or ")
sys.exit(1)
################################################################################
exp_dt = {}
exp_file = open(exp_filename,'r')
i=0
for line in exp_file:
ls = lin... | 28.697674 | 95 | 0.419773 |
d850a48868059577ef48f516a0a88dffa8f864d3 | 6,011 | py | Python | fulltext/routes.py | arXiv/arxiv-fulltext | 36008457022cde245d78b3ad91e0a95aa21bc420 | [
"MIT"
] | 18 | 2019-03-01T02:51:45.000Z | 2021-11-05T12:26:12.000Z | fulltext/routes.py | arXiv/arxiv-fulltext | 36008457022cde245d78b3ad91e0a95aa21bc420 | [
"MIT"
] | 6 | 2019-05-06T15:25:16.000Z | 2019-07-31T20:11:36.000Z | fulltext/routes.py | arXiv/arxiv-fulltext | 36008457022cde245d78b3ad91e0a95aa21bc420 | [
"MIT"
] | 8 | 2019-01-10T22:01:58.000Z | 2021-11-05T12:26:01.000Z | """Provides the blueprint for the fulltext API."""
from typing import Optional, Callable, Any, List
from flask import request, Blueprint, Response, make_response
from werkzeug.exceptions import NotAcceptable, BadRequest, NotFound
from flask.json import jsonify
from arxiv import status
from arxiv.users.domain import Se... | 42.330986 | 79 | 0.691233 |
d8510f940bd8a18f8166dccc963281d3e6645666 | 1,943 | py | Python | bandit/algorithms/Softmax.py | MarcoAlmada/bandit-panda | 787b8f8ea41e318a54c5c1db160801e4ff201383 | [
"MIT"
] | 6 | 2016-04-09T14:46:51.000Z | 2019-04-16T21:46:58.000Z | bandit/algorithms/Softmax.py | MarcoAlmada/bandit-panda | 787b8f8ea41e318a54c5c1db160801e4ff201383 | [
"MIT"
] | null | null | null | bandit/algorithms/Softmax.py | MarcoAlmada/bandit-panda | 787b8f8ea41e318a54c5c1db160801e4ff201383 | [
"MIT"
] | 1 | 2019-11-16T17:34:12.000Z | 2019-11-16T17:34:12.000Z | from math import exp, log
from random import random
from pandas import DataFrame
from BaseBanditAlgorithm import BaseBanditAlgorithm
| 26.986111 | 79 | 0.601132 |
d851a89f9002b0dda4ccf4ff65e9d8b1cb4dfa03 | 592 | py | Python | tensorflow-example/tensor_placeholder.py | dinkar1708/machine-learning-examples | 40d7d1fa77de5fd8414697f27da889c3e08a3eff | [
"Apache-2.0"
] | null | null | null | tensorflow-example/tensor_placeholder.py | dinkar1708/machine-learning-examples | 40d7d1fa77de5fd8414697f27da889c3e08a3eff | [
"Apache-2.0"
] | null | null | null | tensorflow-example/tensor_placeholder.py | dinkar1708/machine-learning-examples | 40d7d1fa77de5fd8414697f27da889c3e08a3eff | [
"Apache-2.0"
] | null | null | null | import numpy as np
import tensorflow as tf
# placeholder - Inserts a placeholder for a tensor that will be always fed.
# Example1-
a = tf.placeholder(tf.float32)
b = tf.placeholder(tf.float32)
adder_node = a + b
sess = tf.Session()
print(sess.run(adder_node, {a: [1, 2], b: [2, 3]}))
sess.close()
# Example2
x = tf.p... | 25.73913 | 75 | 0.677365 |
d853bf37352fcda986f521a35690300e37f1e3db | 145 | py | Python | ABC066/ABC066a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | ABC066/ABC066a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | ABC066/ABC066a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | # ABC066a
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
bell = tuple(map(int, input().split()))
print(sum(bell)-max(bell))
| 18.125 | 39 | 0.717241 |
d8542a8bab379d24ecb097c9415b72c7698225bb | 1,812 | py | Python | validator/checks/md.py | KeepSafe/content-validator | 30e59100f3251aee20b3165d42fceba15a3f5ede | [
"Apache-2.0"
] | 1 | 2018-04-25T19:42:47.000Z | 2018-04-25T19:42:47.000Z | validator/checks/md.py | KeepSafe/content-validator | 30e59100f3251aee20b3165d42fceba15a3f5ede | [
"Apache-2.0"
] | 12 | 2015-07-21T11:01:53.000Z | 2021-03-31T18:53:35.000Z | validator/checks/md.py | KeepSafe/content-validator | 30e59100f3251aee20b3165d42fceba15a3f5ede | [
"Apache-2.0"
] | 2 | 2016-11-05T04:25:35.000Z | 2018-04-25T19:42:49.000Z | import re
from typing import Type
from sdiff import diff, renderer, MdParser
from markdown import markdown
from ..errors import MdDiff, ContentData
LINK_RE = r'\]\(([^\)]+)\)'
| 35.529412 | 89 | 0.573951 |
d8544e0312e447abae813303f3301ef4292e3943 | 264 | py | Python | build/lib/apicount/__main__.py | vadivelmurugank/apicount | 5c0e2a44f9000dd87f9213a2f37fce240182cedd | [
"MIT"
] | null | null | null | build/lib/apicount/__main__.py | vadivelmurugank/apicount | 5c0e2a44f9000dd87f9213a2f37fce240182cedd | [
"MIT"
] | null | null | null | build/lib/apicount/__main__.py | vadivelmurugank/apicount | 5c0e2a44f9000dd87f9213a2f37fce240182cedd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
apiparse
Parse API and API groups from sources. List the API occurences from all
directories and sub directories
"""
# Main Routine
if __name__ == "__main__":
import apicount
f = apicount.apicount.funcnode()
f.showapis()
| 15.529412 | 71 | 0.704545 |
d855337d24fef7108d2c7f6be570fa5e4a79e014 | 684 | py | Python | sanskrit_parser/generator/test/test_list.py | avinashvarna/sanskrit_parser | 79338213128b29927fe2f06031379bb1e3864a83 | [
"MIT"
] | 54 | 2017-06-30T09:11:53.000Z | 2022-03-22T15:35:41.000Z | sanskrit_parser/generator/test/test_list.py | avinashvarna/sanskrit_parser | 79338213128b29927fe2f06031379bb1e3864a83 | [
"MIT"
] | 159 | 2017-06-30T07:04:36.000Z | 2021-06-17T17:03:43.000Z | sanskrit_parser/generator/test/test_list.py | avinashvarna/sanskrit_parser | 79338213128b29927fe2f06031379bb1e3864a83 | [
"MIT"
] | 18 | 2017-08-17T13:22:00.000Z | 2022-01-20T01:08:58.000Z | # flake8: noqa
from sanskrit_parser.generator.pratyaya import *
from sanskrit_parser.generator.dhatu import *
from sanskrit_parser.generator.pratipadika import *
from sanskrit_parser.base.sanskrit_base import SLP1, DEVANAGARI
from sanskrit_parser.generator.sutras_yaml import sutra_list
from conftest import run_test, g... | 31.090909 | 63 | 0.830409 |
d8555ee45594776fd2dc1479324c7089491c7c52 | 694 | py | Python | src/plottoolbox/skill_metrics/pc_bias.py | timcera/plottoolbox | b5f4b634d366eb5ba244e2f1fd33a7ef0eba7298 | [
"BSD-3-Clause"
] | 5 | 2016-10-13T18:06:41.000Z | 2021-06-29T19:47:36.000Z | src/tstoolbox/skill_metrics/pc_bias.py | timcera/tstoolbox | a32fa399d96082f01b7eedfd6c8893bdb881845c | [
"BSD-3-Clause"
] | 21 | 2016-04-28T16:48:03.000Z | 2021-12-16T18:07:07.000Z | src/plottoolbox/skill_metrics/pc_bias.py | timcera/plottoolbox | b5f4b634d366eb5ba244e2f1fd33a7ef0eba7298 | [
"BSD-3-Clause"
] | 3 | 2018-03-21T21:07:52.000Z | 2021-01-22T20:07:49.000Z | # -*- coding: utf-8 -*-
import numpy as np
from . import utils
def pc_bias(simulated, observed):
"""
Calculate the percent bias between simulated and observed.
B = 100.0*sum(s-o)/sum(o)
where s is the simulated values, and o is the observed values.
Note that s & o must have the same number of v... | 23.133333 | 66 | 0.67147 |
d8557b962f8e5321f494ea6d170877863218e3d5 | 1,878 | py | Python | cli/commands/cli_testcase.py | MatthewLiHW/functest | 1f2d76cd3a39f8e26c441d7a9b6b2708062fccdd | [
"Apache-2.0"
] | null | null | null | cli/commands/cli_testcase.py | MatthewLiHW/functest | 1f2d76cd3a39f8e26c441d7a9b6b2708062fccdd | [
"Apache-2.0"
] | null | null | null | cli/commands/cli_testcase.py | MatthewLiHW/functest | 1f2d76cd3a39f8e26c441d7a9b6b2708062fccdd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# jose.lausuch@ericsson.com
# 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 available at
# http://www.apache.org/licenses/LICENSE-2.0
#
import click
import os... | 32.37931 | 79 | 0.653355 |
d85693a25e0c843ebd74e5c861b2c87f367b1bc8 | 3,212 | py | Python | update-URIs.py | ruthtillman/subjectreconscripts | a265e19056ca6c1d1e2612a4ecf7704fbb3c621e | [
"MIT"
] | 6 | 2017-12-14T21:40:43.000Z | 2020-05-02T14:19:09.000Z | update-URIs.py | ruthtillman/subjectreconscripts | a265e19056ca6c1d1e2612a4ecf7704fbb3c621e | [
"MIT"
] | null | null | null | update-URIs.py | ruthtillman/subjectreconscripts | a265e19056ca6c1d1e2612a4ecf7704fbb3c621e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Why does this script exist? This script exists so that we can work separately with ASpace data, create a spreadsheet (CSV) of the IDs of subjects which should be updated to include any authority_id but really probably a URI.
# This script connects to ASpace It then opens the CSV to download subj... | 53.533333 | 384 | 0.702989 |
d8569c4866fa822712890e85b3227b7cef16ca10 | 3,305 | py | Python | src/conversations/migrations/0001_initial.py | earth-emoji/august | 065d4b449a138ead1557293bffcb20cd2db90a41 | [
"BSD-2-Clause"
] | null | null | null | src/conversations/migrations/0001_initial.py | earth-emoji/august | 065d4b449a138ead1557293bffcb20cd2db90a41 | [
"BSD-2-Clause"
] | 10 | 2021-03-19T10:47:13.000Z | 2022-03-12T00:28:30.000Z | src/conversations/migrations/0001_initial.py | earth-emoji/august | 065d4b449a138ead1557293bffcb20cd2db90a41 | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 2.2.12 on 2020-05-21 03:10
from django.db import migrations, models
import django.db.models.deletion
import uuid
| 56.982759 | 170 | 0.625416 |
d857c01199881432f946a813c2b1eacbefca1fa8 | 93 | py | Python | slurm_jupyter_kernel/__main__.py | mawigh/slurm_jupyter_kernel | 37050b49eba3d6c71ea59f067917739dafa55d44 | [
"MIT"
] | 1 | 2021-12-06T11:26:04.000Z | 2021-12-06T11:26:04.000Z | slurm_jupyter_kernel/__main__.py | mawigh/slurm_jupyter_kernel | 37050b49eba3d6c71ea59f067917739dafa55d44 | [
"MIT"
] | 1 | 2021-12-06T08:23:59.000Z | 2021-12-06T08:23:59.000Z | slurm_jupyter_kernel/__main__.py | mawigh/slurm_jupyter_kernel | 37050b49eba3d6c71ea59f067917739dafa55d44 | [
"MIT"
] | 3 | 2021-03-31T07:20:19.000Z | 2021-12-04T01:50:06.000Z | from slurm_jupyter_kernel.start_kernel import slurm_jupyter_kernel;
slurm_jupyter_kernel();
| 23.25 | 67 | 0.88172 |
d8598908dae952efdcb79f28f78a4bda7f44e689 | 4,608 | py | Python | plenum/test/logging/test_logging_txn_state.py | steptan/indy-plenum | 488bf63c82753a74a92ac6952da784825ffd4a3d | [
"Apache-2.0"
] | null | null | null | plenum/test/logging/test_logging_txn_state.py | steptan/indy-plenum | 488bf63c82753a74a92ac6952da784825ffd4a3d | [
"Apache-2.0"
] | null | null | null | plenum/test/logging/test_logging_txn_state.py | steptan/indy-plenum | 488bf63c82753a74a92ac6952da784825ffd4a3d | [
"Apache-2.0"
] | null | null | null | import functools
from stp_core.loop.eventually import eventually
from plenum.common.constants import STEWARD, DOMAIN_LEDGER_ID
from plenum.test.pool_transactions.conftest import looper, stewardAndWallet1, \
steward1, stewardWallet, client1, clientAndWallet1, client1Connected
from plenum.test.pool_transactions.he... | 34.133333 | 99 | 0.6875 |
d85a4d460505324fde409b6130001dc85cb93b73 | 2,099 | py | Python | output/dfg_mix/mix_rotate_chains.py | tmcclintock/fit_mass_functions | 3edc05004d734c48e8138de098ade8b77a0cfd61 | [
"BSD-2-Clause"
] | null | null | null | output/dfg_mix/mix_rotate_chains.py | tmcclintock/fit_mass_functions | 3edc05004d734c48e8138de098ade8b77a0cfd61 | [
"BSD-2-Clause"
] | null | null | null | output/dfg_mix/mix_rotate_chains.py | tmcclintock/fit_mass_functions | 3edc05004d734c48e8138de098ade8b77a0cfd61 | [
"BSD-2-Clause"
] | null | null | null | """
Instead of rotating the chains in the entire parameter space,
just rotate all the intercepts together and then all the slopes together.
"""
import numpy as np
import corner, sys
import matplotlib.pyplot as plt
old_labels = [r"$d0$",r"$d1$",r"$f0$",r"$f1$",r"$g0$",r"$g1$"]
N_z = 10
N_boxes = 39
N_p = 6
mean_models... | 32.292308 | 77 | 0.604097 |
d85addbed4e05a4e02cfa2dc4aae138a1d63873f | 102 | py | Python | spreadsheetconverter/scripts/__init__.py | gumi/spreadsheetconverter | 15f0a7cbc9a57a44cb60b2cdde0f657e1733d5a8 | [
"MIT"
] | 4 | 2016-05-30T07:05:27.000Z | 2018-11-05T02:12:06.000Z | spreadsheetconverter/scripts/__init__.py | gumi/spreadsheetconverter | 15f0a7cbc9a57a44cb60b2cdde0f657e1733d5a8 | [
"MIT"
] | 2 | 2016-05-13T08:53:00.000Z | 2018-10-03T05:53:25.000Z | spreadsheetconverter/scripts/__init__.py | gumi/spreadsheetconverter | 15f0a7cbc9a57a44cb60b2cdde0f657e1733d5a8 | [
"MIT"
] | 3 | 2016-05-30T07:05:38.000Z | 2021-02-04T08:40:24.000Z | # -*- coding:utf-8 -*-
from __future__ import absolute_import
from __future__ import unicode_literals
| 25.5 | 39 | 0.794118 |
d85b8e6c7d9dd7595bf7085d889052d4525b173d | 12,143 | py | Python | py_script/utilities.py | Tagliacollo/PFinderUCE-SWSC-EN | 6e16e0593dbfeeb475c245cc1c80bd55276e75bc | [
"CC0-1.0"
] | null | null | null | py_script/utilities.py | Tagliacollo/PFinderUCE-SWSC-EN | 6e16e0593dbfeeb475c245cc1c80bd55276e75bc | [
"CC0-1.0"
] | 4 | 2018-05-04T15:31:53.000Z | 2022-03-01T23:53:15.000Z | py_script/utilities.py | Tagliacollo/PFinderUCE-SWSC-EN | 6e16e0593dbfeeb475c245cc1c80bd55276e75bc | [
"CC0-1.0"
] | 3 | 2018-09-26T20:55:33.000Z | 2020-09-05T02:50:37.000Z | import os
from pathlib2 import Path
from Bio import AlignIO, SeqIO, SeqUtils
from itertools import combinations
import numpy as np
from math import factorial
from Bio.Nexus import Nexus
def check_taxa(matrices):
'''Checks that nexus instances in a list [(name, instance)...] have
the same taxa, provides use... | 28.639151 | 120 | 0.622169 |
d85c2384ee2c3f50ceefdbd53f1433b289c70c87 | 7,211 | py | Python | lambda/test_main.py | mkhanal1/lambda-runcommand-configuration-management | cd5127a72e7e7f19ce437f797f49024184e17eda | [
"Apache-2.0"
] | 76 | 2016-04-13T21:08:10.000Z | 2020-03-05T21:10:35.000Z | lambda/test_main.py | mkhanal1/lambda-runcommand-configuration-management | cd5127a72e7e7f19ce437f797f49024184e17eda | [
"Apache-2.0"
] | 2 | 2016-04-15T18:12:42.000Z | 2018-03-27T19:30:08.000Z | lambda/test_main.py | mkhanal1/lambda-runcommand-configuration-management | cd5127a72e7e7f19ce437f797f49024184e17eda | [
"Apache-2.0"
] | 34 | 2016-04-15T17:15:29.000Z | 2020-02-16T16:13:59.000Z | """
Unit Tests for trigger_run_command Lambda function
"""
import pytest
import boto3
from botocore.exceptions import ClientError
from mock import MagicMock, patch
from main import find_artifact
from main import ssm_commands
from main import codepipeline_success
from main import codepipeline_failure
from main import fi... | 32.048889 | 93 | 0.704341 |
d85d565cf52d65ec54d3bb3d8a92c379747e4652 | 1,519 | py | Python | rplugin/python3/denite/source/junkfile.py | hironei/junkfile.vim | 4b426851a9a326eeca73a71476956859422a11c4 | [
"MIT"
] | 23 | 2015-02-15T08:13:56.000Z | 2021-05-03T18:56:59.000Z | rplugin/python3/denite/source/junkfile.py | hironei/junkfile.vim | 4b426851a9a326eeca73a71476956859422a11c4 | [
"MIT"
] | 4 | 2015-04-01T21:34:12.000Z | 2018-01-25T13:48:39.000Z | rplugin/python3/denite/source/junkfile.py | hironei/junkfile.vim | 4b426851a9a326eeca73a71476956859422a11c4 | [
"MIT"
] | 5 | 2016-08-05T08:19:30.000Z | 2022-02-03T06:53:59.000Z | # ============================================================================
# FILE: junkfile.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
from .base import Base
from time import strftime
from denite.u... | 33.755556 | 78 | 0.464121 |
d85e74f3d68877675e7e2b4e7d3a786bcaedf85c | 720 | py | Python | Room/api/migrations/0002_auto_20210129_1554.py | zarif007/Club-Room | 57e15aecbc8e88e6ca46616c001e4c25ae22068c | [
"MIT"
] | 1 | 2021-03-15T22:28:28.000Z | 2021-03-15T22:28:28.000Z | Room/api/migrations/0002_auto_20210129_1554.py | zarif007/Club-Room | 57e15aecbc8e88e6ca46616c001e4c25ae22068c | [
"MIT"
] | null | null | null | Room/api/migrations/0002_auto_20210129_1554.py | zarif007/Club-Room | 57e15aecbc8e88e6ca46616c001e4c25ae22068c | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-01-29 09:54
import api.models
from django.db import migrations, models
| 26.666667 | 114 | 0.580556 |