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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
befd00f2e7be9ee982348d730c3ed4d4bbdd8988 | 177 | py | Python | iris_sdk/models/data/tn_status.py | NumberAI/python-bandwidth-iris | 0e05f79d68b244812afb97e00fd65b3f46d00aa3 | [
"MIT"
] | 2 | 2020-04-13T13:47:59.000Z | 2022-02-23T20:32:41.000Z | iris_sdk/models/data/tn_status.py | bandwidthcom/python-bandwidth-iris | dbcb30569631395041b92917252d913166f7d3c9 | [
"MIT"
] | 5 | 2020-09-18T20:59:24.000Z | 2021-08-25T16:51:42.000Z | iris_sdk/models/data/tn_status.py | bandwidthcom/python-bandwidth-iris | dbcb30569631395041b92917252d913166f7d3c9 | [
"MIT"
] | 5 | 2018-12-12T14:39:50.000Z | 2020-11-17T21:42:29.000Z | #!/usr/bin/env python
from iris_sdk.models.base_resource import BaseData
from iris_sdk.models.maps.tn_status import TnStatusMap | 25.285714 | 54 | 0.813559 |
befd8dcdbdb6d9ed65837be1a16b79168d010d75 | 8,437 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/plugins/modules/bigip_device_group_member.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/plugins/modules/bigip_device_group_member.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/plugins/modules/bigip_device_group_member.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright: (c) 2017, F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r'''
---
module: bigip_device_group_memb... | 28.6 | 94 | 0.6174 |
befdd813dce9c8916652b3514805d92fc7258e7d | 793 | py | Python | comrade/blueprints/rest.py | sp3c73r2038/elasticsearch-comrade | ed0c94e071d2fe701a14429981390b9a89df79a7 | [
"MIT"
] | 256 | 2019-09-09T10:09:34.000Z | 2022-03-28T04:15:21.000Z | comrade/blueprints/rest.py | sp3c73r2038/elasticsearch-comrade | ed0c94e071d2fe701a14429981390b9a89df79a7 | [
"MIT"
] | 503 | 2019-07-31T17:01:12.000Z | 2022-03-28T13:19:26.000Z | comrade/blueprints/rest.py | nmeisels/elasticsearch-comrade | 57dc600e5ffd7f9d4c055b584124bef9365e538c | [
"MIT"
] | 25 | 2019-08-30T13:04:31.000Z | 2022-03-09T09:50:32.000Z | from elasticsearch import TransportError
from sanic import Blueprint
from sanic.request import Request
from sanic.response import HTTPResponse, json
from ..connections import get_client
rest_bp = Blueprint('rest')
| 28.321429 | 78 | 0.693569 |
befebe8c408a00b9be09490e9fa3fb8d41c06ce6 | 1,081 | py | Python | tests/test_utils.py | tedeler/pyexchange | 58042f473cbd4f00769249ce9ca20c6a376eddb6 | [
"Apache-2.0"
] | 128 | 2015-01-11T10:29:40.000Z | 2021-06-25T05:27:45.000Z | tests/test_utils.py | tedeler/pyexchange | 58042f473cbd4f00769249ce9ca20c6a376eddb6 | [
"Apache-2.0"
] | 52 | 2015-01-02T15:24:28.000Z | 2020-08-07T04:49:49.000Z | tests/test_utils.py | tedeler/pyexchange | 58042f473cbd4f00769249ce9ca20c6a376eddb6 | [
"Apache-2.0"
] | 96 | 2015-01-02T15:16:20.000Z | 2021-12-25T01:37:46.000Z | from datetime import datetime
from pytz import timezone, utc
from pytest import mark
from pyexchange.utils import convert_datetime_to_utc
| 43.24 | 121 | 0.781684 |
befed480f20eb883fd15d6235756ef7750bbee56 | 786 | py | Python | vidpub/__main__.py | gary9630/session-video-publisher | 6602f53d722af8e569c82b7de8ef79a63293c766 | [
"0BSD"
] | null | null | null | vidpub/__main__.py | gary9630/session-video-publisher | 6602f53d722af8e569c82b7de8ef79a63293c766 | [
"0BSD"
] | 5 | 2020-11-15T12:45:03.000Z | 2021-12-07T08:29:40.000Z | vidpub/__main__.py | gary9630/session-video-publisher | 6602f53d722af8e569c82b7de8ef79a63293c766 | [
"0BSD"
] | 4 | 2018-06-23T16:48:03.000Z | 2021-04-18T09:51:29.000Z | import argparse
from .upload_video import upload_video
from .generate_playlist import generate_playlist
if __name__ == "__main__":
main()
| 23.818182 | 99 | 0.675573 |
beff85e9c6691647f15d3bfe260f151e7cc2041f | 3,275 | py | Python | ally/utils/option.py | rjfranssen/PyAlly | f24d4d449dd0578f52e75365ad0ba69a572d3237 | [
"MIT"
] | 53 | 2019-08-11T20:39:16.000Z | 2022-02-01T02:05:12.000Z | ally/utils/option.py | rjfranssen/PyAlly | f24d4d449dd0578f52e75365ad0ba69a572d3237 | [
"MIT"
] | 53 | 2019-12-11T06:39:59.000Z | 2022-02-13T05:06:44.000Z | ally/utils/option.py | rjfranssen/PyAlly | f24d4d449dd0578f52e75365ad0ba69a572d3237 | [
"MIT"
] | 31 | 2019-10-05T02:28:16.000Z | 2022-02-03T03:41:42.000Z | # MIT License
#
# Copyright (c) 2020 Brett Graves
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge,... | 31.796117 | 90 | 0.635725 |
8300d2d4159d348f8f2a81357e0afeb556ced95e | 460 | py | Python | examples/104-python3-9-pipeline.py | marviniter/argo-dataflow | 89a060b1c6ea70f7c26bc58a01ba675c3acc1c06 | [
"Apache-2.0"
] | null | null | null | examples/104-python3-9-pipeline.py | marviniter/argo-dataflow | 89a060b1c6ea70f7c26bc58a01ba675c3acc1c06 | [
"Apache-2.0"
] | null | null | null | examples/104-python3-9-pipeline.py | marviniter/argo-dataflow | 89a060b1c6ea70f7c26bc58a01ba675c3acc1c06 | [
"Apache-2.0"
] | null | null | null | from argo_dataflow import pipeline, kafka
if __name__ == '__main__':
(pipeline("104-python3-9")
.owner('argoproj-labs')
.describe("""This example is of the Python 3.9 handler.
[Learn about handlers](../docs/HANDLERS.md)""")
.step(
(kafka('input-topic')
.code('main', handler)
... | 23 | 60 | 0.582609 |
8300f1e857cc9e2e0c3bf9685d4664e9e4c8faa9 | 2,195 | py | Python | djangur.py | JerryPopi/djangur-py | 0ba76a1a9c0f77ded014f0f3a0b3a98bf7835f51 | [
"MIT"
] | null | null | null | djangur.py | JerryPopi/djangur-py | 0ba76a1a9c0f77ded014f0f3a0b3a98bf7835f51 | [
"MIT"
] | null | null | null | djangur.py | JerryPopi/djangur-py | 0ba76a1a9c0f77ded014f0f3a0b3a98bf7835f51 | [
"MIT"
] | null | null | null | import asyncio
import discord
from commands import Commands, Guild_Instance, leave, play_search
import os
from pymongo import MongoClient
from dotenv import load_dotenv
load_dotenv()
CONNECTION_STRING = f"mongodb+srv://{os.environ['mongo_user']}:{os.environ['mongo_pass']}@djangur.erogd.mongodb.net/djangur?retryWrites... | 29.662162 | 152 | 0.653303 |
830374b559d44b39454687ae70bffd40d78c9944 | 44,236 | py | Python | membership/models.py | str4nd/sikteeri | 34dd5a4dc35558cdba9e6f97fd38fb661a36b8a5 | [
"MIT"
] | 22 | 2015-03-30T19:33:15.000Z | 2022-01-10T03:52:43.000Z | membership/models.py | str4nd/sikteeri | 34dd5a4dc35558cdba9e6f97fd38fb661a36b8a5 | [
"MIT"
] | 66 | 2015-05-15T13:54:59.000Z | 2021-05-27T20:28:39.000Z | membership/models.py | str4nd/sikteeri | 34dd5a4dc35558cdba9e6f97fd38fb661a36b8a5 | [
"MIT"
] | 13 | 2015-03-09T18:59:29.000Z | 2022-01-10T04:08:38.000Z | # -*- coding: utf-8 -*-
from datetime import datetime, timedelta
from decimal import Decimal
import logging
from django.core.files.storage import FileSystemStorage
from membership.billing.pdf_utils import get_bill_pdf, create_reminder_pdf
from membership.reference_numbers import barcode_4, group_right,\
generate_... | 41.149767 | 128 | 0.628651 |
830421c0eef174df1951cc79db82af6869f9e1bc | 177 | py | Python | napari_imc/io/__init__.py | neuromusic/napari-imc | ce2ff998b33b49f19a786585cc2cb8e59db74c24 | [
"MIT"
] | 4 | 2021-01-29T15:11:37.000Z | 2021-03-01T02:04:24.000Z | napari_imc/io/__init__.py | neuromusic/napari-imc | ce2ff998b33b49f19a786585cc2cb8e59db74c24 | [
"MIT"
] | 25 | 2021-01-19T01:49:13.000Z | 2022-02-09T10:46:41.000Z | napari_imc/io/__init__.py | neuromusic/napari-imc | ce2ff998b33b49f19a786585cc2cb8e59db74c24 | [
"MIT"
] | 3 | 2021-01-29T17:31:05.000Z | 2022-03-25T10:23:32.000Z | from .imaxt import ImaxtFileReader
from .mcd import McdFileReader
from .txt import TxtFileReader
__all__ = [
'ImaxtFileReader',
'McdFileReader',
'TxtFileReader',
]
| 17.7 | 34 | 0.734463 |
83043d6bcc47235264f0457736e61baf87cbac95 | 2,449 | py | Python | eval.py | ldzhangyx/TCN-for-beat-tracking | 8e09ba5b2f222a4944a8bd039987a01240ae778d | [
"BSD-3-Clause"
] | 3 | 2021-03-22T01:59:52.000Z | 2022-01-22T11:08:56.000Z | eval.py | ldzhangyx/TCN-for-beat-tracking | 8e09ba5b2f222a4944a8bd039987a01240ae778d | [
"BSD-3-Clause"
] | 1 | 2021-06-21T19:14:35.000Z | 2021-06-21T19:14:35.000Z | eval.py | ldzhangyx/TCN-for-beat-tracking | 8e09ba5b2f222a4944a8bd039987a01240ae778d | [
"BSD-3-Clause"
] | 1 | 2021-03-22T01:59:57.000Z | 2021-03-22T01:59:57.000Z | import torch
from torch.utils.data import Dataset
import numpy as np
import os
import pickle
from madmom.features import DBNBeatTrackingProcessor
import torch
from model import BeatTrackingNet
from utils import init_single_spec
from mir_eval.beat import evaluate
from data import BallroomDataset
from beat_tracker im... | 25.510417 | 79 | 0.685178 |
830448984e5a77e90d22cacc683d54197d1adc44 | 130,468 | py | Python | pycity_calc/cities/scripts/city_generator/city_generator.py | RWTH-EBC/pyCity_calc | 99fd0dab7f9a9030fd84ba4715753364662927ec | [
"MIT"
] | 4 | 2020-06-22T14:14:25.000Z | 2021-11-08T11:47:01.000Z | pycity_calc/cities/scripts/city_generator/city_generator.py | RWTH-EBC/pyCity_calc | 99fd0dab7f9a9030fd84ba4715753364662927ec | [
"MIT"
] | 4 | 2019-08-28T19:42:28.000Z | 2019-08-28T19:43:44.000Z | pycity_calc/cities/scripts/city_generator/city_generator.py | RWTH-EBC/pyCity_calc | 99fd0dab7f9a9030fd84ba4715753364662927ec | [
"MIT"
] | null | null | null | # coding=utf-8
"""
Script to generate city object.
"""
from __future__ import division
import os
import numpy as np
import pickle
import warnings
import random
import datetime
import shapely.geometry.point as point
import pycity_base.classes.Weather as weath
import pycity_base.classes.demand.SpaceHeating as SpaceHeati... | 44.482782 | 173 | 0.52153 |
830541d7c666d087b745fabc733309dfe46fdeb0 | 14,092 | py | Python | cpgan_data.py | basilevh/object-discovery-cp-gan | 170cdcf14aa0b5f7258d15e177485ee4fd697afb | [
"MIT"
] | 14 | 2020-06-04T15:50:38.000Z | 2021-10-03T02:59:54.000Z | cpgan_data.py | basilevh/object-discovery-cp-gan | 170cdcf14aa0b5f7258d15e177485ee4fd697afb | [
"MIT"
] | null | null | null | cpgan_data.py | basilevh/object-discovery-cp-gan | 170cdcf14aa0b5f7258d15e177485ee4fd697afb | [
"MIT"
] | 1 | 2021-01-19T15:50:47.000Z | 2021-01-19T15:50:47.000Z | # Basile Van Hoorick, March 2020
# Common code for PyTorch implementation of Copy-Pasting GAN
import copy
import itertools
import matplotlib.pyplot as plt
import numpy as np
import os, platform, time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as ... | 39.92068 | 154 | 0.590477 |
8305a58a05e7a9623ae618b46a183f5331e34e3b | 3,207 | py | Python | provision/env/lib/python3.6/site-packages/ansible/plugins/become/dzdo.py | brightkan/tukole-frontend | 45e1d82a4ae5a65e88e7434f67d4d1a88f462e96 | [
"MIT"
] | 1 | 2020-03-29T18:41:01.000Z | 2020-03-29T18:41:01.000Z | ansible/ansible/plugins/become/dzdo.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 7 | 2020-09-07T17:27:56.000Z | 2022-03-02T06:25:46.000Z | ansible/ansible/plugins/become/dzdo.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 1 | 2020-10-30T12:48:24.000Z | 2020-10-30T12:48:24.000Z | # -*- coding: utf-8 -*-
# Copyright: (c) 2018, Ansible Project # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
become: dzdo
short_description: Centrify's Dire... | 32.72449 | 131 | 0.558154 |
830713faff66a018b4d3b736c65a71173ebb4219 | 3,078 | py | Python | templates/php/functionsTest.py | anconaesselmann/LiveUnit | 8edebb49cb02fa898550cbafdf87af7fc22f106b | [
"MIT"
] | null | null | null | templates/php/functionsTest.py | anconaesselmann/LiveUnit | 8edebb49cb02fa898550cbafdf87af7fc22f106b | [
"MIT"
] | null | null | null | templates/php/functionsTest.py | anconaesselmann/LiveUnit | 8edebb49cb02fa898550cbafdf87af7fc22f106b | [
"MIT"
] | null | null | null | import unittest
import os
if __name__ == '__main__' and __package__ is None:
from os import sys, path
sys.path.append(path.abspath(path.join(__file__, "..", "..")))
sys.path.append(path.abspath(path.join(__file__, "..", "..", "..", "classes_and_tests")))
from php.functions import *
from src.mocking.MockFi... | 34.58427 | 100 | 0.649448 |
8307eb589ed701e9bef2d35aecb16eec594af392 | 5,629 | py | Python | app.py | opeyemibami/decision_support_system | 15ffdd795c8f2704b577a9c84db9dafb1fcf792d | [
"MIT"
] | 1 | 2021-10-31T13:07:24.000Z | 2021-10-31T13:07:24.000Z | app.py | opeyemibami/decision_support_system | 15ffdd795c8f2704b577a9c84db9dafb1fcf792d | [
"MIT"
] | null | null | null | app.py | opeyemibami/decision_support_system | 15ffdd795c8f2704b577a9c84db9dafb1fcf792d | [
"MIT"
] | 1 | 2022-02-03T13:12:59.000Z | 2022-02-03T13:12:59.000Z | import sys
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import efficientnet.keras as efn
import streamlit as st
import SessionState
from skimage.transform import resize
import skimage
import skimage.filters
import reportgenerator
import style
from keras.models import Model, load_model
st.set... | 45.032 | 203 | 0.650382 |
83080191fabbc152072cd0019bf81fd6f737d375 | 7,129 | py | Python | richardson_extrapolation.py | PrabalChowdhury/CSE330-NUMERICAL-METHODS | aabfea01f4ceaecfbb50d771ee990777d6e1122c | [
"MIT"
] | null | null | null | richardson_extrapolation.py | PrabalChowdhury/CSE330-NUMERICAL-METHODS | aabfea01f4ceaecfbb50d771ee990777d6e1122c | [
"MIT"
] | null | null | null | richardson_extrapolation.py | PrabalChowdhury/CSE330-NUMERICAL-METHODS | aabfea01f4ceaecfbb50d771ee990777d6e1122c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Richardson-Extrapolation.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1oNlSL2Vztk9Fc7tMBgPcL82WGaUuCY-A
Before you turn this problem in, make sure everything runs as expected. First, **restart the kernel** (in the me... | 36.747423 | 273 | 0.591668 |
83092d72acd08ca21db99e040f029c6dead0fb17 | 9,050 | py | Python | src/mlshell/blocks/pipeline/steps.py | nizaevka/mlshell | 36893067f598f6b071b61604423d0fd15c2a7c62 | [
"Apache-2.0"
] | 8 | 2020-10-04T15:33:58.000Z | 2020-11-24T15:10:18.000Z | src/mlshell/blocks/pipeline/steps.py | nizaevka/mlshell | 36893067f598f6b071b61604423d0fd15c2a7c62 | [
"Apache-2.0"
] | 5 | 2020-03-06T18:13:10.000Z | 2022-03-12T00:52:48.000Z | src/mlshell/blocks/pipeline/steps.py | nizaevka/mlshell | 36893067f598f6b071b61604423d0fd15c2a7c62 | [
"Apache-2.0"
] | null | null | null | """The :mod:`mlshell.pipeline.steps` contains unified pipeline steps."""
import inspect
import mlshell
import numpy as np
import pandas as pd
import sklearn
import sklearn.impute
import sklearn.compose
__all__ = ['Steps']
if __name__ == '__main__':
pass
| 43.301435 | 206 | 0.612818 |
830a09b0fe214d145afe8c3a467c3effd538a38b | 2,283 | py | Python | paste/application/repositories.py | Afonasev/Paste | ca1dcb566f15a9cf1aa0e97c6fc4cf4d450ec89d | [
"MIT"
] | null | null | null | paste/application/repositories.py | Afonasev/Paste | ca1dcb566f15a9cf1aa0e97c6fc4cf4d450ec89d | [
"MIT"
] | 1 | 2018-05-07T00:12:59.000Z | 2018-05-07T00:12:59.000Z | paste/application/repositories.py | Afonasev/Paste | ca1dcb566f15a9cf1aa0e97c6fc4cf4d450ec89d | [
"MIT"
] | null | null | null | from datetime import datetime
import peewee
from paste import domain
from . import db
def _by_object(obj):
name = obj.__class__.__name__
fields = ('pk', 'created_at', 'updated_at')
if name == 'User':
return domain.User, db.User, fields + ('name', 'passhash')
if name == 'Snippet':
... | 23.78125 | 72 | 0.610162 |
830a2f904f214eab34723ae65f4d0799f4773a77 | 3,278 | py | Python | example/example_nursery.py | airysen/racog | 8751436437e9e82d80d54617a8b39fae5fd0ebdd | [
"MIT"
] | 3 | 2019-03-06T07:58:22.000Z | 2021-03-12T18:10:46.000Z | example/example_nursery.py | airysen/racog | 8751436437e9e82d80d54617a8b39fae5fd0ebdd | [
"MIT"
] | 1 | 2019-08-19T18:51:02.000Z | 2019-08-19T18:51:02.000Z | example/example_nursery.py | airysen/racog | 8751436437e9e82d80d54617a8b39fae5fd0ebdd | [
"MIT"
] | 1 | 2019-08-19T19:07:05.000Z | 2019-08-19T19:07:05.000Z | # Dataset https://archive.ics.uci.edu/ml/datasets/Nursery
import numpy as np
import pandas as pd
from collections import Counter
from sklearn.model_selection import train_test_split, GridSearchCV, StratifiedKFold
from imblearn.metrics import geometric_mean_score
from sklearn.metrics import mean_squared_error, make_s... | 31.519231 | 99 | 0.682123 |
830a7a30cf722db0418fa36cfcde2cb40ad3323f | 8,187 | py | Python | channels/piratestreaming.py | sodicarus/channels | d77402f4f460ea6daa66959aa5384aaffbff70b5 | [
"MIT"
] | null | null | null | channels/piratestreaming.py | sodicarus/channels | d77402f4f460ea6daa66959aa5384aaffbff70b5 | [
"MIT"
] | null | null | null | channels/piratestreaming.py | sodicarus/channels | d77402f4f460ea6daa66959aa5384aaffbff70b5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# StreamOnDemand Community Edition - Kodi Addon
# ------------------------------------------------------------
# streamondemand.- XBMC Plugin
# Canale piratestreaming
# http://www.mimediacenter.info/foro/viewforum.php?f=36
# ------------------------------------------------------------
import re
... | 36.386667 | 142 | 0.561011 |
830be7742fbd411e52ef441a27dec4480a075f6e | 5,259 | py | Python | test/IECore/LayeredDictTest.py | gcodebackups/cortex-vfx | 72fa6c6eb3327fce4faf01361c8fcc2e1e892672 | [
"BSD-3-Clause"
] | 5 | 2016-07-26T06:09:28.000Z | 2022-03-07T03:58:51.000Z | test/IECore/LayeredDictTest.py | turbosun/cortex | 4bdc01a692652cd562f3bfa85f3dae99d07c0b15 | [
"BSD-3-Clause"
] | null | null | null | test/IECore/LayeredDictTest.py | turbosun/cortex | 4bdc01a692652cd562f3bfa85f3dae99d07c0b15 | [
"BSD-3-Clause"
] | 3 | 2015-03-25T18:45:24.000Z | 2020-02-15T15:37:18.000Z | ##########################################################################
#
# Copyright (c) 2008-2010, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redis... | 24.460465 | 76 | 0.56969 |
830ca47819b03f644d5fc932f9eb92819146316f | 1,425 | py | Python | nuplan/database/utils/boxes/box.py | MCZhi/nuplan-devkit | 3c4f5b8dcd517b27cfd258915ca5fe5c54e3cb0c | [
"Apache-2.0"
] | null | null | null | nuplan/database/utils/boxes/box.py | MCZhi/nuplan-devkit | 3c4f5b8dcd517b27cfd258915ca5fe5c54e3cb0c | [
"Apache-2.0"
] | null | null | null | nuplan/database/utils/boxes/box.py | MCZhi/nuplan-devkit | 3c4f5b8dcd517b27cfd258915ca5fe5c54e3cb0c | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import abc
from typing import Any, Dict
| 22.619048 | 77 | 0.562105 |
830e1e09e8a968bc1c2ae3714f7a575834f1f2be | 4,627 | py | Python | tests/test_training.py | Hilly12/masters-code | 60b20a0e5e4c0ab9152b090b679391d8d62ec88a | [
"MIT"
] | null | null | null | tests/test_training.py | Hilly12/masters-code | 60b20a0e5e4c0ab9152b090b679391d8d62ec88a | [
"MIT"
] | null | null | null | tests/test_training.py | Hilly12/masters-code | 60b20a0e5e4c0ab9152b090b679391d8d62ec88a | [
"MIT"
] | null | null | null | import torch
import prifair as pf
N_SAMPLES = 10000
VAL_SAMPLES = 1000
STUDENT_SAMPLES = 5000
INPUTS = 1000
OUTPUTS = 5
BATCH_SIZE = 256
MAX_PHYSICAL_BATCH_SIZE = 128
EPSILON = 2.0
DELTA = 1e-5
MAX_GRAD_NORM = 1.0
N_TEACHERS = 4
N_GROUPS = 10
EPOCHS = 2
X = torch.randn(N_SAMPLES + VAL_SAMPLES, INPUTS)
Y = torch.ra... | 28.91875 | 84 | 0.690944 |
830e39c22c34be264cb1928c1b6da3f32584283d | 177 | py | Python | problem/01000~09999/02164/2164.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 1 | 2019-04-19T16:37:44.000Z | 2019-04-19T16:37:44.000Z | problem/01000~09999/02164/2164.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 1 | 2019-04-20T11:42:44.000Z | 2019-04-20T11:42:44.000Z | problem/01000~09999/02164/2164.py3.py | njw1204/BOJ-AC | 1de41685725ae4657a7ff94e413febd97a888567 | [
"MIT"
] | 3 | 2019-04-19T16:37:47.000Z | 2021-10-25T00:45:00.000Z | from collections import deque
n,x=int(input()),deque()
for i in range(1,n+1): x.append(i)
while len(x)>1:
x.popleft()
if len(x)==1: break
x.append(x.popleft())
print(x.pop()) | 22.125 | 34 | 0.661017 |
830e650277386eb71938c69ac25104bf879b279f | 2,430 | py | Python | craft_ai/timezones.py | craft-ai/craft-ai-client-python | 3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3 | [
"BSD-3-Clause"
] | 14 | 2016-08-26T07:06:57.000Z | 2020-09-22T07:41:21.000Z | craft_ai/timezones.py | craft-ai/craft-ai-client-python | 3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3 | [
"BSD-3-Clause"
] | 94 | 2016-08-02T14:07:59.000Z | 2021-10-06T11:50:52.000Z | craft_ai/timezones.py | craft-ai/craft-ai-client-python | 3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3 | [
"BSD-3-Clause"
] | 8 | 2017-02-07T12:05:57.000Z | 2021-10-14T09:45:30.000Z | import re
_TIMEZONE_REGEX = re.compile(r"^([+-](2[0-3]|[01][0-9])(:?[0-5][0-9])?|Z)$")
TIMEZONES = {
"UTC": "+00:00",
"GMT": "+00:00",
"BST": "+01:00",
"IST": "+01:00",
"WET": "+00:00",
"WEST": "+01:00",
"CET": "+01:00",
"CEST": "+02:00",
"EET": "+02:00",
"EEST": "+03:00",
... | 26.413043 | 81 | 0.530864 |
830ebcb1b5a538ed7758db2770eff5e0ab51ebf3 | 2,066 | py | Python | gpvdm_gui/gui/json_fdtd.py | roderickmackenzie/gpvdm | 914fd2ee93e7202339853acaec1d61d59b789987 | [
"BSD-3-Clause"
] | 12 | 2016-09-13T08:58:13.000Z | 2022-01-17T07:04:52.000Z | gpvdm_gui/gui/json_fdtd.py | roderickmackenzie/gpvdm | 914fd2ee93e7202339853acaec1d61d59b789987 | [
"BSD-3-Clause"
] | 3 | 2017-11-11T12:33:02.000Z | 2019-03-08T00:48:08.000Z | gpvdm_gui/gui/json_fdtd.py | roderickmackenzie/gpvdm | 914fd2ee93e7202339853acaec1d61d59b789987 | [
"BSD-3-Clause"
] | 6 | 2019-01-03T06:17:12.000Z | 2022-01-01T15:59:00.000Z | #
# General-purpose Photovoltaic Device Model - a drift diffusion base/Shockley-Read-Hall
# model for 1st, 2nd and 3rd generation solar cells.
# Copyright (C) 2008-2022 Roderick C. I. MacKenzie r.c.i.mackenzie at googlemail.com
#
# https://www.gpvdm.com
#
# This program is free software; you can redist... | 31.30303 | 91 | 0.727009 |
830eef9810e77b134c4cc2e988eadd23436bf9ed | 4,637 | py | Python | gru/plugins/base/inventory.py | similarweb/gru | 49ef70c2b5e58302c84dbe7d984a7d49aebc0384 | [
"BSD-2-Clause-FreeBSD"
] | 7 | 2016-12-11T19:58:33.000Z | 2020-07-11T08:55:34.000Z | gru/plugins/base/inventory.py | similarweb/gru | 49ef70c2b5e58302c84dbe7d984a7d49aebc0384 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | gru/plugins/base/inventory.py | similarweb/gru | 49ef70c2b5e58302c84dbe7d984a7d49aebc0384 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-12-09T19:31:50.000Z | 2019-12-09T19:31:50.000Z |
from . import BasePlugin
from gru.config import settings
| 31.120805 | 117 | 0.607505 |
83103a011e1bb5e482fa869c43bee2cdb39dd21a | 5,830 | py | Python | app/comic/eyra/tasks.py | EYRA-Benchmark/grand-challenge.org | 8264c19fa1a30ffdb717d765e2aa2e6ceccaab17 | [
"Apache-2.0"
] | 2 | 2019-06-28T09:23:55.000Z | 2020-03-18T05:52:13.000Z | app/comic/eyra/tasks.py | EYRA-Benchmark/comic | 8264c19fa1a30ffdb717d765e2aa2e6ceccaab17 | [
"Apache-2.0"
] | 112 | 2019-08-12T15:13:27.000Z | 2022-03-21T15:49:40.000Z | app/comic/eyra/tasks.py | EYRA-Benchmark/grand-challenge.org | 8264c19fa1a30ffdb717d765e2aa2e6ceccaab17 | [
"Apache-2.0"
] | 1 | 2020-03-19T14:19:57.000Z | 2020-03-19T14:19:57.000Z | import json
from datetime import datetime
import time
from functools import reduce
import boto3
from celery import shared_task
from celery.bin.control import inspect
from django.conf import settings
from comic.container_exec.backends.k8s import K8sJob
from comic.eyra.models import Job, Submission, DataFile, JobInput
... | 29.744898 | 95 | 0.686792 |
83105e3ab7b623c4391c6fa5b2af5b5f65241d9a | 1,926 | py | Python | doc/conf.py | djarpin/sagemaker-python-sdk | 157d8670977243f7f77327175d40364c885482b3 | [
"Apache-2.0"
] | 1 | 2018-01-19T22:24:38.000Z | 2018-01-19T22:24:38.000Z | doc/conf.py | djarpin/sagemaker-python-sdk | 157d8670977243f7f77327175d40364c885482b3 | [
"Apache-2.0"
] | null | null | null | doc/conf.py | djarpin/sagemaker-python-sdk | 157d8670977243f7f77327175d40364c885482b3 | [
"Apache-2.0"
] | 2 | 2019-08-06T05:48:25.000Z | 2020-10-04T17:00:55.000Z | # -*- coding: utf-8 -*-
import os
import sys
from datetime import datetime
from unittest.mock import MagicMock
MOCK_MODULES = ['tensorflow', 'tensorflow.core', 'tensorflow.core.framework', 'tensorflow.python',
'tensorflow.python.framework', 'tensorflow_serving', 'tensorflow_serving.apis']
sys.modules... | 30.09375 | 98 | 0.704569 |
83109a1fa008110e9e6bc3419abde0778a40c3c3 | 1,081 | py | Python | django_cassiopeia/views.py | galaddirie/django-cassiopeia | e3e75e6c815cfc96e3b7ef5991aa1265221a2122 | [
"MIT"
] | 13 | 2020-07-08T17:23:18.000Z | 2022-02-13T09:19:42.000Z | django_cassiopeia/views.py | galaddirie/django-cassiopeia | e3e75e6c815cfc96e3b7ef5991aa1265221a2122 | [
"MIT"
] | 16 | 2020-07-19T22:14:20.000Z | 2022-03-24T02:57:45.000Z | django_cassiopeia/views.py | galaddirie/django-cassiopeia | e3e75e6c815cfc96e3b7ef5991aa1265221a2122 | [
"MIT"
] | 6 | 2020-07-21T01:37:54.000Z | 2022-01-01T19:28:54.000Z | from django.shortcuts import render, HttpResponse
from django_cassiopeia import cassiopeia as cass
from time import sleep
import json
# Create your views here. | 30.027778 | 87 | 0.612396 |
8311183712fef6e93100cb2e804d36583b7c35d9 | 962 | py | Python | sender.py | AndrVLDZ/telnet_DAW-master | 4bce486fad0d4ae51ef695ace118df2af2b1c35f | [
"Apache-2.0"
] | null | null | null | sender.py | AndrVLDZ/telnet_DAW-master | 4bce486fad0d4ae51ef695ace118df2af2b1c35f | [
"Apache-2.0"
] | null | null | null | sender.py | AndrVLDZ/telnet_DAW-master | 4bce486fad0d4ae51ef695ace118df2af2b1c35f | [
"Apache-2.0"
] | null | null | null | import telnetlib
print_logo()
port = int(input('\n PORT:'))
ip_1 = str(input(' Host_1 IP: '))
node_1 = telnetlib.Telnet(ip_1, port)
ip_2 = str(input(' Host_2 IP: '))
node_2 = telnetlib.Telnet(ip_2, port)
while True:
symbol = str(input('==> '))
if symbol == 's':
node_1.write(b's\r\n')
node_2.w... | 22.904762 | 47 | 0.477131 |
8311c27de6e1db041ba99f1046583892727db0c6 | 43 | py | Python | oed/__init__.py | wgshen/OED | 6928ba31396f2e7dd2bd3701f319e1dad3f91346 | [
"MIT"
] | null | null | null | oed/__init__.py | wgshen/OED | 6928ba31396f2e7dd2bd3701f319e1dad3f91346 | [
"MIT"
] | null | null | null | oed/__init__.py | wgshen/OED | 6928ba31396f2e7dd2bd3701f319e1dad3f91346 | [
"MIT"
] | 1 | 2021-11-10T05:41:02.000Z | 2021-11-10T05:41:02.000Z | from .oed import OED
__all__ = [
"OED"
]
| 7.166667 | 20 | 0.604651 |
831472f4490aeaadae4cd1684594efc22e0edd62 | 14,400 | py | Python | pyperformance/_manifest.py | cappadokes/pyperformance | 60574dad9585eb5622631502296bb8eae143cdfc | [
"MIT"
] | null | null | null | pyperformance/_manifest.py | cappadokes/pyperformance | 60574dad9585eb5622631502296bb8eae143cdfc | [
"MIT"
] | 2 | 2022-03-09T11:14:07.000Z | 2022-03-09T14:07:47.000Z | test/xml_etree/venv/cpython3.11-d52597b1179a-compat-f6a835d45d46-bm-xml_etree/lib/python3.11/site-packages/pyperformance/_manifest.py | sebawild/cpython | 874ba1a9c948af33de2ad229df42e03dc516f0a8 | [
"0BSD"
] | 1 | 2022-01-04T13:08:31.000Z | 2022-01-04T13:08:31.000Z |
__all__ = [
'BenchmarksManifest',
'load_manifest',
'parse_manifest',
]
from collections import namedtuple
import os.path
from . import __version__, DATA_DIR
from . import _benchmark, _utils
DEFAULTS_DIR = os.path.join(DATA_DIR, 'benchmarks')
DEFAULT_MANIFEST = os.path.join(DEFAULTS_DIR, 'MANIFEST')
... | 33.103448 | 89 | 0.555556 |
8314cb28873762113bd7dff276be8513d9a062b7 | 8,543 | py | Python | pimux/function.py | pcpcpc1213/pimux | 6ce9c3a59ac04064d46217bcdad531c7171163da | [
"MIT"
] | null | null | null | pimux/function.py | pcpcpc1213/pimux | 6ce9c3a59ac04064d46217bcdad531c7171163da | [
"MIT"
] | null | null | null | pimux/function.py | pcpcpc1213/pimux | 6ce9c3a59ac04064d46217bcdad531c7171163da | [
"MIT"
] | null | null | null | from . import scrip as t
| 26.780564 | 122 | 0.570057 |
83150604a0fb11e77945d0c0fcad08abbb284ce0 | 342 | py | Python | download_from_link.py | bogdanf555/scripts | 42b7b36c5891da6dcde8f7889bdf0798f91bef12 | [
"MIT"
] | null | null | null | download_from_link.py | bogdanf555/scripts | 42b7b36c5891da6dcde8f7889bdf0798f91bef12 | [
"MIT"
] | null | null | null | download_from_link.py | bogdanf555/scripts | 42b7b36c5891da6dcde8f7889bdf0798f91bef12 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import requests
import sys
if __name__ == '__main__':
if len(sys.argv) != 3:
print("Error: you should pass 2 arguments: [link_to_download_from] [path_to_save_downloaded_file]")
exit(1)
url = sys.argv[1]
r = requests.get(url, allow_redirects=True)
open(sys.argv[2], '... | 24.428571 | 107 | 0.660819 |
83153ac6624a05f5b11103f7bcc31634fc8bbca3 | 443 | py | Python | vowelsubstring.py | boddulurisrisai/python-practice | bb9dfd8ea4d1fe3e4a3f7950ba63b0469e0bca28 | [
"bzip2-1.0.6"
] | 1 | 2021-04-16T07:12:36.000Z | 2021-04-16T07:12:36.000Z | vowelsubstring.py | boddulurisrisai/python-practice | bb9dfd8ea4d1fe3e4a3f7950ba63b0469e0bca28 | [
"bzip2-1.0.6"
] | null | null | null | vowelsubstring.py | boddulurisrisai/python-practice | bb9dfd8ea4d1fe3e4a3f7950ba63b0469e0bca28 | [
"bzip2-1.0.6"
] | null | null | null | import re
b=input('enter string')
r=[];max=-1;z=-1
for i in range(len(b)):
for j in range(i+1,len(b)+1):
c=b[i:j]
for k in c:
if k=='a' or k=='e' or k=='i' or k=='o' or k=='u':
flag=0
else:
flag=1
break
if fl... | 21.095238 | 63 | 0.363431 |
8316bb71d181ce8ce3eff4b2a0a627c1843d8260 | 485 | py | Python | syndata/__init__.py | Menelau/synthetic_datasets | 86fd99042cff6a8bbdfa195fe6eee938a9c9d8f5 | [
"MIT"
] | 6 | 2018-02-07T02:02:00.000Z | 2020-01-22T10:33:01.000Z | syndata/__init__.py | Menelau/synthetic_datasets | 86fd99042cff6a8bbdfa195fe6eee938a9c9d8f5 | [
"MIT"
] | null | null | null | syndata/__init__.py | Menelau/synthetic_datasets | 86fd99042cff6a8bbdfa195fe6eee938a9c9d8f5 | [
"MIT"
] | null | null | null | # coding=utf-8
# Author: Rafael Menelau Oliveira e Cruz <rafaelmenelau@gmail.com>
#
# License: MIT
"""
The :mod:`deslib.util` This module includes various utilities. They are divided into three parts:
syndata.synthethic_datasets - Provide functions to generate several 2D classification datasets.
syndata.plot_tools ... | 28.529412 | 118 | 0.785567 |
831850a395edae115c39b123b0382e44942149bf | 644 | py | Python | profiles/migrations/0002_auto_20211214_0825.py | praekeltfoundation/ge-web | 331d22554dfd6b6f6060b1fd7a110f38dd7ddece | [
"BSD-2-Clause"
] | 1 | 2022-03-09T15:11:52.000Z | 2022-03-09T15:11:52.000Z | profiles/migrations/0002_auto_20211214_0825.py | praekeltfoundation/ge-web | 331d22554dfd6b6f6060b1fd7a110f38dd7ddece | [
"BSD-2-Clause"
] | 14 | 2022-01-03T09:49:41.000Z | 2022-03-31T12:53:31.000Z | profiles/migrations/0002_auto_20211214_0825.py | praekeltfoundation/ge-web | 331d22554dfd6b6f6060b1fd7a110f38dd7ddece | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 3.1.14 on 2021-12-14 08:25
import django.db.models.deletion
from django.db import migrations, models
| 30.666667 | 194 | 0.673913 |
8318aea9b693ecf60895b29261a418a03e789bc8 | 4,290 | py | Python | radmc-3d/version_0.41/examples/run_spher2d_1_nomirror/problem_setup.py | dlmatra/miao | 71799811b21a4249754390a8ec00972723edab99 | [
"MIT"
] | 1 | 2019-11-23T00:03:40.000Z | 2019-11-23T00:03:40.000Z | radmc-3d/version_0.41/examples/run_spher2d_1_nomirror/problem_setup.py | dlmatra/miao | 71799811b21a4249754390a8ec00972723edab99 | [
"MIT"
] | 3 | 2021-05-26T12:54:50.000Z | 2021-05-27T10:58:48.000Z | radmc-3d/version_0.41/examples/run_spher2d_1_nomirror/problem_setup.py | dlmatra/miao | 71799811b21a4249754390a8ec00972723edab99 | [
"MIT"
] | 1 | 2021-12-23T14:09:52.000Z | 2021-12-23T14:09:52.000Z | #
# Import NumPy for array handling
#
import numpy as np
import math
#
# Import plotting libraries (start Python with ipython --matplotlib)
#
#from mpl_toolkits.mplot3d import axes3d
#from matplotlib import pyplot as plt
#
# Some natural constants
#
au = 1.49598e13 # Astronomical Unit [cm]
pc = 3.08572e18 ... | 30.642857 | 94 | 0.530536 |
83191aecc9d861bb7dfa42c1c5b079d943885a2f | 5,508 | py | Python | colorprinter/pycolor.py | edonyzpc/toolkitem | 3a09ebf45eee8ecd9ff0e441392d5fc746b996e5 | [
"MIT"
] | 3 | 2015-04-20T08:17:09.000Z | 2020-07-07T15:22:06.000Z | colorprinter/pycolor.py | edonyzpc/toolkitem | 3a09ebf45eee8ecd9ff0e441392d5fc746b996e5 | [
"MIT"
] | 24 | 2015-11-14T14:54:59.000Z | 2017-10-23T15:14:45.000Z | colorprinter/pycolor.py | edonyzpc/toolkitem | 3a09ebf45eee8ecd9ff0e441392d5fc746b996e5 | [
"MIT"
] | 1 | 2017-02-28T06:35:44.000Z | 2017-02-28T06:35:44.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# .---. .-----------
# / \ __ / ------
# / / \( )/ ----- (`-') _ _(`-') <-. (`-')_
# ////// '\/ ` --- ( OO).-/( (OO ).-> .-> \( OO) ) .->
# //// / // : : --- (,------.... | 35.766234 | 93 | 0.396696 |
831a95d5b9d61001fca6140bef2832489872b9e3 | 1,684 | py | Python | launch/velocity_smoother-composed-launch.py | doisyg/velocity_smoother | 5ba998978e324fd0417ea75483d1f5559820459d | [
"BSD-3-Clause"
] | 8 | 2020-02-28T10:40:53.000Z | 2022-01-15T06:42:11.000Z | launch/velocity_smoother-composed-launch.py | doisyg/velocity_smoother | 5ba998978e324fd0417ea75483d1f5559820459d | [
"BSD-3-Clause"
] | 9 | 2020-01-20T16:32:14.000Z | 2022-01-28T13:49:59.000Z | launch/velocity_smoother-composed-launch.py | doisyg/velocity_smoother | 5ba998978e324fd0417ea75483d1f5559820459d | [
"BSD-3-Clause"
] | 3 | 2020-03-19T09:40:35.000Z | 2022-01-11T01:47:41.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2020 Open Source Robotics Foundation, Inc.
#
# Software License Agreement (BSD License 2.0)
# https://raw.githubusercontent.com/kobuki-base/velocity_smoother/license/LICENSE
"""Launch the velocity smoother as a composed node with default configuration... | 35.829787 | 92 | 0.694774 |
831b642dcce9a13a8398668c6c09e24217cd6b3c | 3,616 | py | Python | lib/taskstats/controller.py | tijko/IO-Mon | 4fb43c6c97b22f9a44eb34ef2221f1ed2abb062b | [
"MIT"
] | 1 | 2015-12-17T04:58:09.000Z | 2015-12-17T04:58:09.000Z | lib/taskstats/controller.py | tijko/IO-Mon | 4fb43c6c97b22f9a44eb34ef2221f1ed2abb062b | [
"MIT"
] | null | null | null | lib/taskstats/controller.py | tijko/IO-Mon | 4fb43c6c97b22f9a44eb34ef2221f1ed2abb062b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import struct
import socket
from netlink import *
NETLINK_ROUTE = 0
NETLINK_UNUSED = 1
NETLINK_USERSOCK = 2
NETLINK_FIREWALL = 3
NETLINK_SOCK_DIAG = 4
NETLINK_NFLOG = 5
NETLINK_XFRM = 6
NETLINK_SELINUX ... | 28.472441 | 80 | 0.638274 |
831cac4a9b399f71b7446e06e08d2d1e23c17328 | 1,335 | py | Python | app/marketing/migrations/0002_membership.py | NDevox/website | 76004e667f2295eddd79d500ba21f02a0480412f | [
"Apache-2.0"
] | null | null | null | app/marketing/migrations/0002_membership.py | NDevox/website | 76004e667f2295eddd79d500ba21f02a0480412f | [
"Apache-2.0"
] | null | null | null | app/marketing/migrations/0002_membership.py | NDevox/website | 76004e667f2295eddd79d500ba21f02a0480412f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-07-12 04:25
from __future__ import unicode_literals
from django.db import migrations, models
| 32.560976 | 114 | 0.605243 |
831cd9a75c39325f8b2e668fec868da457fe98e6 | 4,552 | py | Python | Solutions/VMX2-VoicemailExpress/Code/vmx_transcriber.py | cbgandhi-code/amazon-connect-salesforce-scv | fc5da5445b01295e530b50aa774598e91087c57a | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | Solutions/VMX2-VoicemailExpress/Code/vmx_transcriber.py | cbgandhi-code/amazon-connect-salesforce-scv | fc5da5445b01295e530b50aa774598e91087c57a | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | Solutions/VMX2-VoicemailExpress/Code/vmx_transcriber.py | cbgandhi-code/amazon-connect-salesforce-scv | fc5da5445b01295e530b50aa774598e91087c57a | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | # Version: 2022.03.23
"""
**********************************************************************************************************************
* Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved *
* ... | 43.352381 | 130 | 0.536028 |
831d6ec37b4d0e0a6e4200545a3b9e01d0fe7f0e | 306 | py | Python | api/permissions.py | soltanoff/simple_file_server | 4e825358341fae0564fc498e8374a3d3cdda199e | [
"MIT"
] | 2 | 2018-06-15T11:39:42.000Z | 2019-08-14T20:55:15.000Z | api/permissions.py | soltanoff/simple_file_server | 4e825358341fae0564fc498e8374a3d3cdda199e | [
"MIT"
] | 7 | 2018-12-04T07:35:24.000Z | 2022-03-11T23:12:10.000Z | api/permissions.py | soltanoff/simple_file_server | 4e825358341fae0564fc498e8374a3d3cdda199e | [
"MIT"
] | null | null | null | from rest_framework import permissions
| 27.818182 | 82 | 0.751634 |
831dc5f3bb8ccadfd806896689571f12c96946bc | 712 | py | Python | capstone/rl/utils/linear_annealing.py | davidrobles/mlnd-capstone-code | 19ca88aaa137665af147da9bbd0e510829a14cf1 | [
"MIT"
] | 2 | 2017-04-13T18:31:39.000Z | 2017-05-06T05:14:12.000Z | capstone/rl/utils/linear_annealing.py | davidrobles/mlnd-capstone-code | 19ca88aaa137665af147da9bbd0e510829a14cf1 | [
"MIT"
] | null | null | null | capstone/rl/utils/linear_annealing.py | davidrobles/mlnd-capstone-code | 19ca88aaa137665af147da9bbd0e510829a14cf1 | [
"MIT"
] | null | null | null | from .callbacks import Callback
| 35.6 | 83 | 0.606742 |
8320400ac8c357808906cc6070706d68af6624bc | 6,466 | py | Python | genTraining_recurr.py | lasinger/-3DVideos2Stereo | 9608654ec37d157133c43531ac0002102e86dbab | [
"MIT"
] | 62 | 2020-01-15T10:27:46.000Z | 2022-03-14T09:23:58.000Z | genTraining_recurr.py | lasinger/-3DVideos2Stereo | 9608654ec37d157133c43531ac0002102e86dbab | [
"MIT"
] | 4 | 2020-03-10T08:13:59.000Z | 2021-12-09T09:35:58.000Z | genTraining_recurr.py | lasinger/-3DVideos2Stereo | 9608654ec37d157133c43531ac0002102e86dbab | [
"MIT"
] | 15 | 2020-01-17T02:06:54.000Z | 2022-02-24T06:32:40.000Z | from __future__ import print_function
import numpy as np
import argparse
import glob
import os
import errno
import math
import cv2
from random import shuffle
from shutil import copyfile
parser = argparse.ArgumentParser(
description="create training/test/validation sets from video list"
)
parser.add_argument("--vi... | 30.64455 | 86 | 0.558769 |
83207ebe69e3bf9bcd3f660b07c8f5bca9f8663b | 2,038 | py | Python | seeq/addons/clustering/__main__.py | seeq12/seeq-clustering | 220793499d5f9669e7d9dde4820af0eee27f84dc | [
"Apache-2.0"
] | 3 | 2021-10-15T05:32:44.000Z | 2021-12-14T16:33:24.000Z | seeq/addons/clustering/__main__.py | seeq12/seeq-clustering | 220793499d5f9669e7d9dde4820af0eee27f84dc | [
"Apache-2.0"
] | 2 | 2021-11-19T17:46:06.000Z | 2022-01-20T06:54:00.000Z | seeq/addons/clustering/__main__.py | seeq12/seeq-clustering | 220793499d5f9669e7d9dde4820af0eee27f84dc | [
"Apache-2.0"
] | null | null | null | import os
import sys
import argparse
from ._install_addon import install_addon
def cli_interface():
""" Installs Seeq Add-on Tool """
parser = argparse.ArgumentParser(description='Install Clustering as a Seeq Add-on Tool')
parser.add_argument('--username', type=str, default=None,
... | 49.707317 | 195 | 0.632483 |
8321d10093f3ed3b6d58be76b8214f867e414822 | 939 | py | Python | utils/customchecks.py | arielbeje/good-bot-name | de1429ea5b653fd8ee88d649452ebef7e7399e5b | [
"MIT"
] | 10 | 2018-04-08T00:02:18.000Z | 2022-01-25T18:34:06.000Z | utils/customchecks.py | arielbeje/good-bot-name | de1429ea5b653fd8ee88d649452ebef7e7399e5b | [
"MIT"
] | 14 | 2018-01-26T16:55:09.000Z | 2021-09-19T11:35:58.000Z | utils/customchecks.py | arielbeje/Good_Bot_Name | de1429ea5b653fd8ee88d649452ebef7e7399e5b | [
"MIT"
] | 14 | 2018-02-14T01:35:08.000Z | 2021-03-30T12:18:03.000Z | """
Code stolen from https://github.com/Rapptz/discord.py
"""
import functools
import discord
from discord.ext import commands
from . import sql
def is_mod():
return commands.check(predicate)
| 24.076923 | 140 | 0.652822 |
83226ea13035cf8a8cc076a6baf244dd22963a78 | 3,107 | py | Python | tests/test_lambda_lapsed.py | BostonDSA/actionnetwork-activist-sync | f4b45ec85d59ac252c5572974381e96ec0107add | [
"MIT"
] | 1 | 2021-12-14T17:34:20.000Z | 2021-12-14T17:34:20.000Z | tests/test_lambda_lapsed.py | BostonDSA/actionnetwork-activist-sync | f4b45ec85d59ac252c5572974381e96ec0107add | [
"MIT"
] | null | null | null | tests/test_lambda_lapsed.py | BostonDSA/actionnetwork-activist-sync | f4b45ec85d59ac252c5572974381e96ec0107add | [
"MIT"
] | null | null | null | import json
import importlib
import os
import unittest
from unittest.mock import Mock
from moto import mock_dynamodb2
import boto3
from lambda_local.context import Context
os.environ['ENVIRONMENT'] = 'TEST'
os.environ['LOG_LEVEL'] = 'CRITICAL'
os.environ['DSA_KEY'] = 'TESTKEY'
| 31.07 | 84 | 0.633408 |
832283ba27d3f56129d5cb0cef3c3b8a60934088 | 2,974 | py | Python | tests/test_motif_finder.py | gaybro8777/RStudio-GitHub-Analysis | 014195c90ca49f64d28c9fcd96d128301ff65157 | [
"BSD-2-Clause"
] | 2 | 2020-09-13T11:55:13.000Z | 2021-05-23T01:29:19.000Z | tests/test_motif_finder.py | gaybro8777/RStudio-GitHub-Analysis | 014195c90ca49f64d28c9fcd96d128301ff65157 | [
"BSD-2-Clause"
] | null | null | null | tests/test_motif_finder.py | gaybro8777/RStudio-GitHub-Analysis | 014195c90ca49f64d28c9fcd96d128301ff65157 | [
"BSD-2-Clause"
] | 2 | 2020-10-17T20:18:37.000Z | 2021-05-23T01:29:25.000Z | """
This script tests the classes and functions from motif_finder.py.
Parameters
----------
None
Returns
-------
Assertion errors if tests fail
"""
import sys
import random
import pickle
import networkx as nx
from github_analysis.big_cloud_scratch import git_graph
from github_analysis.data_layer import getCommitsBy... | 28.596154 | 115 | 0.751849 |
83245e358084afd5d7f959c3a7aebfc9ab55bb73 | 1,107 | py | Python | torrent.py | fishy/scripts | 91abd0451cae916d885f4ff0fd2f69d335d37cf3 | [
"BSD-3-Clause"
] | 4 | 2016-05-09T13:42:23.000Z | 2021-11-29T15:16:11.000Z | torrent.py | fishy/scripts | 91abd0451cae916d885f4ff0fd2f69d335d37cf3 | [
"BSD-3-Clause"
] | null | null | null | torrent.py | fishy/scripts | 91abd0451cae916d885f4ff0fd2f69d335d37cf3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import sys
import os
from types import StringType
# get bencode package from http://github.com/fishy/scripts/downloads
from bencode.bencode import bencode, bdecode, BTFailure
try :
torrent = sys.argv[1]
except IndexError :
print "Usage: \"%s <torrent_file> [tracker_url]\" to show torrent info ... | 23.0625 | 130 | 0.68925 |
8324b2ef51cf900faa05fab3ea2e0b781034e744 | 4,786 | py | Python | test/test_mdsspath.py | jpevans/mdssdiff | 88573bdc89b00b023ce59c9b0fa19c6e6be760ce | [
"Apache-2.0"
] | 1 | 2019-11-05T00:34:20.000Z | 2019-11-05T00:34:20.000Z | test/test_mdsspath.py | jpevans/mdssdiff | 88573bdc89b00b023ce59c9b0fa19c6e6be760ce | [
"Apache-2.0"
] | 13 | 2017-03-08T03:37:43.000Z | 2020-06-19T01:03:04.000Z | test/test_mdsspath.py | jpevans/mdssdiff | 88573bdc89b00b023ce59c9b0fa19c6e6be760ce | [
"Apache-2.0"
] | 2 | 2020-09-14T12:04:43.000Z | 2020-11-29T22:16:13.000Z | #!/usr/bin/env python
"""
Copyright 2015 ARC Centre of Excellence for Climate Systems Science
author: Aidan Heerdegen <aidan.heerdegen@anu.edu.au>
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
... | 31.906667 | 139 | 0.688884 |
8325f8d80722ee18d5ca87486dae7d369fe6e6ee | 1,192 | py | Python | applications/trilinos_application/python_scripts/PressureMultiLevelSolver.py | AndreaVoltan/MyKratos7.0 | e977752722e8ef1b606f25618c4bf8fd04c434cc | [
"BSD-4-Clause"
] | 2 | 2020-04-30T19:13:08.000Z | 2021-04-14T19:40:47.000Z | applications/TrilinosApplication/python_scripts/PressureMultiLevelSolver.py | Jacklwln/Kratos | 12ffe332622d7e8ea3e4a10bc061beb9d8e6e8de | [
"BSD-4-Clause"
] | 1 | 2020-04-30T19:19:09.000Z | 2020-05-02T14:22:36.000Z | applications/TrilinosApplication/python_scripts/PressureMultiLevelSolver.py | Jacklwln/Kratos | 12ffe332622d7e8ea3e4a10bc061beb9d8e6e8de | [
"BSD-4-Clause"
] | 1 | 2020-06-12T08:51:24.000Z | 2020-06-12T08:51:24.000Z | from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
from KratosMultiphysics import *
from KratosMultiphysics.TrilinosApplication import *
| 35.058824 | 134 | 0.723993 |
83263868a21483660a3b2d0dc61af080e81df193 | 3,960 | py | Python | Hood/views.py | Gakur/NeiApp | 2a9955a23877de10ed3436fd25d56208bca22887 | [
"MIT"
] | null | null | null | Hood/views.py | Gakur/NeiApp | 2a9955a23877de10ed3436fd25d56208bca22887 | [
"MIT"
] | null | null | null | Hood/views.py | Gakur/NeiApp | 2a9955a23877de10ed3436fd25d56208bca22887 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse ,HttpResponseRedirect, Http404
from django.urls import reverse
from django.contrib.auth.forms import UserCreationForm
from .models import *
from .forms import UserRegisterForm
from django.contrib import messages
from ... | 38.076923 | 146 | 0.693687 |
832672b5a45d6ed1bcae4c5d5f38bb3800726d8c | 3,325 | py | Python | ckanext-hdx_package/ckanext/hdx_package/tests/test_metadata_fields.py | OCHA-DAP/hdx-ckan | 202e0c44adc4ea8d0b90141e69365b65cce68672 | [
"Apache-2.0"
] | 58 | 2015-01-11T09:05:15.000Z | 2022-03-17T23:44:07.000Z | ckanext-hdx_package/ckanext/hdx_package/tests/test_metadata_fields.py | OCHA-DAP/hdx-ckan | 202e0c44adc4ea8d0b90141e69365b65cce68672 | [
"Apache-2.0"
] | 1,467 | 2015-01-01T16:47:44.000Z | 2022-02-28T16:51:20.000Z | ckanext-hdx_package/ckanext/hdx_package/tests/test_metadata_fields.py | OCHA-DAP/hdx-ckan | 202e0c44adc4ea8d0b90141e69365b65cce68672 | [
"Apache-2.0"
] | 17 | 2015-05-06T14:04:21.000Z | 2021-11-11T19:58:16.000Z | '''
Created on May 16, 2014
@author: alexandru-m-g
'''
import json
import webtest
import logging
import ckan.plugins as p
import ckan.lib.create_test_data as ctd
import ckan.lib.search as search
import ckan.model as model
import ckan.logic as logic
import ckan.lib.helpers as h
import ckan.tests.legacy as legacy_te... | 34.635417 | 123 | 0.62797 |
832770b6da611f24d004cf5564b612a2e18401f6 | 524 | py | Python | inject.py | edouardpoitras/process_injection_example | 0b22488a83a5516788411e4974090d1df2bd6494 | [
"MIT"
] | 4 | 2021-05-01T06:56:14.000Z | 2022-01-24T10:00:31.000Z | inject.py | edouardpoitras/process_injection_example | 0b22488a83a5516788411e4974090d1df2bd6494 | [
"MIT"
] | null | null | null | inject.py | edouardpoitras/process_injection_example | 0b22488a83a5516788411e4974090d1df2bd6494 | [
"MIT"
] | 1 | 2021-04-30T16:52:11.000Z | 2021-04-30T16:52:11.000Z | import sys
import psutil
from pyinjector import inject
if len(sys.argv) != 3:
print("Usage: python inject.py <process-name> <shared-library>")
exit()
_, process_name, shared_library = sys.argv
for process in psutil.process_iter():
if process.name() == process_name:
print(f"Found {process_name} - ... | 29.111111 | 90 | 0.696565 |
8327de2cbfa7508d6d7ec9cb75195ac2a23e5a16 | 3,235 | py | Python | infer.py | yanivbl6/deep-griffinlim-iteration | b96165c0c11e00bff1e033f93aeca6fafe9833d3 | [
"MIT"
] | null | null | null | infer.py | yanivbl6/deep-griffinlim-iteration | b96165c0c11e00bff1e033f93aeca6fafe9833d3 | [
"MIT"
] | null | null | null | infer.py | yanivbl6/deep-griffinlim-iteration | b96165c0c11e00bff1e033f93aeca6fafe9833d3 | [
"MIT"
] | 1 | 2020-10-12T15:31:27.000Z | 2020-10-12T15:31:27.000Z |
# noinspection PyUnresolvedReferences
##import matlab.engine
import os
import shutil
from argparse import ArgumentError, ArgumentParser
from torch.utils.data import DataLoader
from dataset import ComplexSpecDataset
from hparams1 import hp
from train import Trainer
from pathlib import Path
from os import listdir
... | 32.35 | 208 | 0.641731 |
8329042f7336cfa333d46696e6595794b06050cc | 11,603 | py | Python | Disc_train.py | avinsit123/kpgen_GAN | e5ca04b9c6e43f8049dcf8e5b8fa44ab4e4702c3 | [
"MIT"
] | 1 | 2020-05-28T23:18:51.000Z | 2020-05-28T23:18:51.000Z | Disc_train.py | avinsit123/kpgen_GAN | e5ca04b9c6e43f8049dcf8e5b8fa44ab4e4702c3 | [
"MIT"
] | null | null | null | Disc_train.py | avinsit123/kpgen_GAN | e5ca04b9c6e43f8049dcf8e5b8fa44ab4e4702c3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 1 15:10:45 2019
@author: r17935avinash
"""
################################ IMPORT LIBRARIES ###############################################################
import torch
import numpy as np
import pykp.io
import torch.nn as nn
from utils.statistics... | 46.78629 | 594 | 0.613807 |
832ab6e2559ee453e6521a8fd912db337cc8fa7d | 4,568 | py | Python | VQ3D/camera_pose_estimation/get_median_intrinsics.py | emulhall/episodic-memory | 27bafec6e09c108f0efe5ac899eabde9d1ac40cc | [
"MIT"
] | 27 | 2021-10-16T02:39:17.000Z | 2022-03-31T11:16:11.000Z | VQ3D/camera_pose_estimation/get_median_intrinsics.py | emulhall/episodic-memory | 27bafec6e09c108f0efe5ac899eabde9d1ac40cc | [
"MIT"
] | 5 | 2022-03-23T04:53:36.000Z | 2022-03-29T23:39:07.000Z | VQ3D/camera_pose_estimation/get_median_intrinsics.py | emulhall/episodic-memory | 27bafec6e09c108f0efe5ac899eabde9d1ac40cc | [
"MIT"
] | 13 | 2021-11-25T19:17:29.000Z | 2022-03-25T14:01:47.000Z | import os
import sys
import json
import argparse
import numpy as np
sys.path.append('Camera_Intrinsics_API/')
from get_camera_intrinsics import CameraIntrinsicsHelper
if __name__=='__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
"--input_dir",
type=str,
default='dat... | 34.089552 | 76 | 0.479203 |
832b2f005e0af85ddb6e44118b2f277f3ecf6b06 | 571 | py | Python | Dataset/Leetcode/valid/78/455.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/valid/78/455.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/valid/78/455.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null |
undefined
for (i = 0; i < document.getElementsByTagName("code").length; i++) { console.log(document.getElementsByTagName("code")[i].innerText); }
| 27.190476 | 139 | 0.576182 |
832b736a0869d3dc222dea9d11955ffc80809ec5 | 1,322 | py | Python | IDS/IDS/urls.py | YashwantChauhan/SDL | 0d48dfa129d72316f35967df98ce2f1e6f949fc5 | [
"MIT"
] | 2 | 2020-12-24T15:13:49.000Z | 2021-06-05T15:43:58.000Z | IDS/IDS/urls.py | YashwantChauhan/SDL | 0d48dfa129d72316f35967df98ce2f1e6f949fc5 | [
"MIT"
] | 2 | 2021-12-28T14:06:20.000Z | 2021-12-28T14:25:44.000Z | IDS/IDS/urls.py | YashwantChauhan/SDL | 0d48dfa129d72316f35967df98ce2f1e6f949fc5 | [
"MIT"
] | null | null | null | """IDS URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vie... | 38.882353 | 77 | 0.723147 |
832ba0a49717dd57c782af2a65a1680399effe7f | 1,574 | py | Python | setup.py | preetmishra/nooz | e7ee6958bac7edcc85ab157b6dbe07071fde887c | [
"MIT"
] | 7 | 2020-03-18T06:30:55.000Z | 2021-04-06T16:38:25.000Z | setup.py | preetmishra/nooz | e7ee6958bac7edcc85ab157b6dbe07071fde887c | [
"MIT"
] | 1 | 2020-06-29T16:12:45.000Z | 2020-06-29T16:12:45.000Z | setup.py | preetmishra/nooz | e7ee6958bac7edcc85ab157b6dbe07071fde887c | [
"MIT"
] | 2 | 2021-03-21T02:52:39.000Z | 2021-05-26T08:34:58.000Z | import codecs
import os
from setuptools import find_packages, setup
linting_deps = [
'mypy==0.761',
'pycodestyle==2.5.0',
]
setup(
name='nooz',
version='0.1.0',
description='Trending headlines right in your terminal.',
long_description=long_description(),
long_description_content_type='t... | 24.984127 | 77 | 0.584498 |
832d8379190a88d84a40dc951ecd801770c36c11 | 11,454 | py | Python | deeplodocus/callbacks/saver.py | amelgrenier/deeplodocus | 0a017faae098cddc436e82e83b85e66caf18b522 | [
"MIT"
] | null | null | null | deeplodocus/callbacks/saver.py | amelgrenier/deeplodocus | 0a017faae098cddc436e82e83b85e66caf18b522 | [
"MIT"
] | null | null | null | deeplodocus/callbacks/saver.py | amelgrenier/deeplodocus | 0a017faae098cddc436e82e83b85e66caf18b522 | [
"MIT"
] | null | null | null | from decimal import Decimal
import torch
from torch.nn import Module
import os
from deeplodocus.utils.notification import Notification
from deeplodocus.utils.flags.save import *
from deeplodocus.utils.flags.event import *
from deeplodocus.utils.flags.notif import *
from deeplodocus.utils.flags.ext import DEEP... | 34.293413 | 115 | 0.527589 |
832debbd59e85b8ca2ff3010595d819d90400d10 | 2,812 | py | Python | mridc/collections/reconstruction/models/cascadenet/ccnn_block.py | jerke123/mridc | 7e22ac50f8df73f2305d61979da2a5d59874546e | [
"Apache-2.0"
] | null | null | null | mridc/collections/reconstruction/models/cascadenet/ccnn_block.py | jerke123/mridc | 7e22ac50f8df73f2305d61979da2a5d59874546e | [
"Apache-2.0"
] | null | null | null | mridc/collections/reconstruction/models/cascadenet/ccnn_block.py | jerke123/mridc | 7e22ac50f8df73f2305d61979da2a5d59874546e | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
__author__ = "Dimitrios Karkalousos"
import torch
from mridc.collections.common.parts.fft import fft2c, ifft2c
from mridc.collections.common.parts.utils import complex_conj, complex_mul
| 30.565217 | 100 | 0.604908 |
832fa03411fdc8cba2cd96e51a219e3ef9e4283a | 975 | py | Python | main.py | BL-Lac149597870/drugVQA | 604703d66457c958ddc9eeb35268391edb6c4996 | [
"MIT"
] | null | null | null | main.py | BL-Lac149597870/drugVQA | 604703d66457c958ddc9eeb35268391edb6c4996 | [
"MIT"
] | null | null | null | main.py | BL-Lac149597870/drugVQA | 604703d66457c958ddc9eeb35268391edb6c4996 | [
"MIT"
] | null | null | null | '''
Author: QHGG
Date: 2021-02-27 13:42:43
LastEditTime: 2021-03-01 23:26:38
LastEditors: QHGG
Description:
FilePath: /drugVQA/main.py
'''
import torch
from sklearn import metrics
import warnings
warnings.filterwarnings("ignore")
torch.cuda.set_device(0)
print('cuda size == 1')
from trainAndTest import *
import time
... | 28.676471 | 87 | 0.645128 |
83300c0b6a409b6ab5643fe5a44ff448c026f263 | 4,773 | py | Python | networkx/algorithms/tests/test_cuts.py | jebogaert/networkx | 8563c3313223a53c548530f39c8cfb6e433539d3 | [
"BSD-3-Clause"
] | 2 | 2020-11-25T12:01:15.000Z | 2021-02-02T03:46:23.000Z | networkx/algorithms/tests/test_cuts.py | jebogaert/networkx | 8563c3313223a53c548530f39c8cfb6e433539d3 | [
"BSD-3-Clause"
] | 1 | 2020-11-15T23:07:09.000Z | 2020-11-15T23:07:09.000Z | networkx/algorithms/tests/test_cuts.py | jebogaert/networkx | 8563c3313223a53c548530f39c8cfb6e433539d3 | [
"BSD-3-Clause"
] | 2 | 2020-12-21T11:41:13.000Z | 2021-01-08T17:09:21.000Z | """Unit tests for the :mod:`networkx.algorithms.cuts` module."""
import networkx as nx
| 29.83125 | 75 | 0.550178 |
8330e631a49e6776f2efa9742d5ed0e6a7e38620 | 6,556 | py | Python | src/utility.py | bbookman/demand | 47101843ab84f4161e618edfa5a8e8fea2e1d955 | [
"MIT"
] | null | null | null | src/utility.py | bbookman/demand | 47101843ab84f4161e618edfa5a8e8fea2e1d955 | [
"MIT"
] | null | null | null | src/utility.py | bbookman/demand | 47101843ab84f4161e618edfa5a8e8fea2e1d955 | [
"MIT"
] | null | null | null | import sys, re, pdb
from bs4 import BeautifulSoup as beautiful
from datetime import datetime
import requests, logging
import timeout_decorator, pandas as pd
import socket, urllib3
def build_site_url(template, title, zipcode='', radius='90', age='60'):
""" Makes an url with each query item inserted into the url ... | 33.111111 | 119 | 0.657413 |
8331c341859f7ceb90f3dad9bbc18d41377413e5 | 1,940 | py | Python | section_11_(api)/dicts_and_lists.py | hlcooll/python_lessons | 3790f98cbc5a0721fcfc9e5f52ba79a64878f362 | [
"MIT"
] | 425 | 2015-01-13T03:19:10.000Z | 2022-03-13T00:34:44.000Z | section_11_(api)/dicts_and_lists.py | Supercodero/python-lessons | 38409c318e7a62d30b2ffd68f8a7a5a5ec00778d | [
"MIT"
] | null | null | null | section_11_(api)/dicts_and_lists.py | Supercodero/python-lessons | 38409c318e7a62d30b2ffd68f8a7a5a5ec00778d | [
"MIT"
] | 178 | 2015-01-08T05:01:05.000Z | 2021-12-02T00:56:58.000Z | # Dictionaries and lists, together
# Loading from https://raw.githubusercontent.com/shannonturner/education-compliance-reports/master/investigations.json
investigations = {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-11... | 26.216216 | 118 | 0.625258 |
833213154f6c6064adf75a6066412d88861a6169 | 19,345 | py | Python | stickers/__init__.py | secretisdead/stickers | 5159c637de2c204fdbdc6aafbebca949c492c203 | [
"MIT"
] | null | null | null | stickers/__init__.py | secretisdead/stickers | 5159c637de2c204fdbdc6aafbebca949c492c203 | [
"MIT"
] | null | null | null | stickers/__init__.py | secretisdead/stickers | 5159c637de2c204fdbdc6aafbebca949c492c203 | [
"MIT"
] | 1 | 2021-09-05T06:18:01.000Z | 2021-09-05T06:18:01.000Z | import uuid
import time
import re
from ipaddress import ip_address
from enum import Enum
from datetime import datetime, timezone
from sqlalchemy import Table, Column, PrimaryKeyConstraint, LargeBinary as sqla_binary, Float
from sqlalchemy import Integer, String, MetaData, distinct
from sqlalchemy.dialects.mysql import... | 27.208158 | 93 | 0.730887 |
833402a878296c2dae40def1c9fff8397df42c38 | 3,035 | py | Python | include/MPE3.py | jhgalino/MPv2 | 2f5e29d67bccc4538c5aaad2e69e817041414199 | [
"MIT"
] | null | null | null | include/MPE3.py | jhgalino/MPv2 | 2f5e29d67bccc4538c5aaad2e69e817041414199 | [
"MIT"
] | null | null | null | include/MPE3.py | jhgalino/MPv2 | 2f5e29d67bccc4538c5aaad2e69e817041414199 | [
"MIT"
] | null | null | null |
OTHER_RECURSIVE_FUNCTIONS = [
"getFirstLevel",
"computeTrig",
"computeExpWithCoeff",
"computeExpWithoutCoeff",
]
print(differentiate("3(x)^3"))
| 30.35 | 79 | 0.524547 |
8334d38451b05f8a06133e98e01f204b3df51a55 | 3,072 | py | Python | obsolete_object_wise_scoring_ben.py | agk2000/catalyst_project | 6bae324f24d6d6382e84dcf1f2fedf0d896371e1 | [
"MIT"
] | null | null | null | obsolete_object_wise_scoring_ben.py | agk2000/catalyst_project | 6bae324f24d6d6382e84dcf1f2fedf0d896371e1 | [
"MIT"
] | null | null | null | obsolete_object_wise_scoring_ben.py | agk2000/catalyst_project | 6bae324f24d6d6382e84dcf1f2fedf0d896371e1 | [
"MIT"
] | 1 | 2021-09-11T14:55:26.000Z | 2021-09-11T14:55:26.000Z | import sys
from mrs_utils import misc_utils, vis_utils
from mrs_utils import eval_utils
import os
from skimage import io
import numpy as np
import matplotlib.pyplot as plt
# Creat object scorer class
osc = eval_utils.ObjectScorer(min_th=0.5, link_r=20, eps=2)
# Define the source
data_dir = '/scratch/sr365/Catalyst_d... | 37.925926 | 112 | 0.682617 |
8335f3aa44031d6db4debfb0403cae80df9a5fe1 | 28,012 | py | Python | compare.py | dreamersnme/future | 87462ea1ef2dfd056e26ede85448af160df7d2ac | [
"MIT"
] | 86 | 2019-03-24T16:53:12.000Z | 2022-02-25T11:48:57.000Z | compare.py | dreamersnme/future | 87462ea1ef2dfd056e26ede85448af160df7d2ac | [
"MIT"
] | 1 | 2020-11-15T16:36:54.000Z | 2020-11-15T16:36:54.000Z | compare.py | dreamersnme/future | 87462ea1ef2dfd056e26ede85448af160df7d2ac | [
"MIT"
] | 33 | 2019-03-22T00:26:20.000Z | 2022-03-25T02:56:17.000Z | # --------------------------- IMPORT LIBRARIES -------------------------
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
import data_preprocessing as dp
from sklearn.preprocessing import MinMaxScaler
import keras
from keras.models import Sequential
from keras.layers... | 50.021429 | 205 | 0.63023 |
83383133f1e2636bee0ef87328b2ad1c26e323fd | 1,288 | py | Python | Desafio horario atual/__init__.py | pinheirogus/Curso-Python-Udemy | d6d52320426172e924081b9df619490baa8c6016 | [
"MIT"
] | 1 | 2021-09-01T01:58:13.000Z | 2021-09-01T01:58:13.000Z | Desafio horario atual/__init__.py | pinheirogus/Curso-Python-Udemy | d6d52320426172e924081b9df619490baa8c6016 | [
"MIT"
] | null | null | null | Desafio horario atual/__init__.py | pinheirogus/Curso-Python-Udemy | d6d52320426172e924081b9df619490baa8c6016 | [
"MIT"
] | null | null | null | # num1 = input("Digite um nmero inteiro: ")
#
#
# try:
#
# if num1.isnumeric() :
# num1 = int(num1)
# if (num1 % 2) == 0 :
# print("Voc digitou um nmero par.")
# elif (num1 % 2) != 0:
# print("Voc digitou um nmero mpar.")
# else:
# print("Voc no di... | 30.666667 | 131 | 0.420807 |
8338456e9d4d6099460e1bd2a49c5b5cf56d90a9 | 223 | py | Python | 05/b_average.py | koshin117/python-learning | 68dd99e2f72fff7507a874c11511415fef3c9354 | [
"MIT"
] | 1 | 2021-03-29T08:30:19.000Z | 2021-03-29T08:30:19.000Z | 05/b_average.py | koshin117/python-learning | 68dd99e2f72fff7507a874c11511415fef3c9354 | [
"MIT"
] | null | null | null | 05/b_average.py | koshin117/python-learning | 68dd99e2f72fff7507a874c11511415fef3c9354 | [
"MIT"
] | null | null | null | #B
if __name__ == '__main__':
main()
| 17.153846 | 40 | 0.565022 |
8338723c7e22b26ca6c647d1d2092f73e2a758fb | 3,224 | py | Python | tests/test_js.py | tinachou28/dataIO-project | cc8592edf5a2f03ba3cebcbc83b13764729ad839 | [
"MIT"
] | 7 | 2016-04-23T03:33:42.000Z | 2019-01-02T01:02:44.000Z | tests/test_js.py | tinachou28/dataIO-project | cc8592edf5a2f03ba3cebcbc83b13764729ad839 | [
"MIT"
] | 2 | 2018-05-22T07:08:13.000Z | 2019-05-14T19:39:16.000Z | tests/test_js.py | tinachou28/dataIO-project | cc8592edf5a2f03ba3cebcbc83b13764729ad839 | [
"MIT"
] | 4 | 2017-08-19T16:05:34.000Z | 2020-12-08T10:43:11.000Z | # !/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import sys
import warnings
import pytest
from pytest import approx
import os
from os.path import join
from datetime import datetime
from dataIO import py23
from dataIO import js
from dataIO import textfile
path_json = os.path.abspa... | 26.644628 | 86 | 0.638337 |
8338c6c065505edebe32c2e1b457eb24e32e6163 | 34,731 | py | Python | remerkleable/complex.py | hwwhww/remerkleable | b52dce6b0beae7fffbb826fb9945dca9c40504fd | [
"MIT"
] | 1 | 2020-07-22T14:51:20.000Z | 2020-07-22T14:51:20.000Z | remerkleable/complex.py | hwwhww/remerkleable | b52dce6b0beae7fffbb826fb9945dca9c40504fd | [
"MIT"
] | null | null | null | remerkleable/complex.py | hwwhww/remerkleable | b52dce6b0beae7fffbb826fb9945dca9c40504fd | [
"MIT"
] | null | null | null | from typing import NamedTuple, cast, List as PyList, Dict, Any, BinaryIO, Optional, TypeVar, Type, Protocol, \
runtime_checkable
from types import GeneratorType
from textwrap import indent
from collections.abc import Sequence as ColSequence
from itertools import chain
import io
from remerkleable.core import View, B... | 37.792165 | 119 | 0.582477 |
83399c09776772609094ffc2ac08102d789dfc9b | 21,383 | py | Python | cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel4_1_TestScript.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel4_1_TestScript.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | cave/com.raytheon.viz.gfe/python/autotest/RoutineLevel4_1_TestScript.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | 1 | 2021-10-30T00:03:05.000Z | 2021-10-30T00:03:05.000Z | # #
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to ... | 41.520388 | 189 | 0.533087 |
8339dd90862b3868393e86e2c87682f87414e27c | 12,569 | py | Python | AutoPano/Phase2/Code/Test_files/TrainUnsup.py | akathpal/ComputerVision-CMSC733 | f5fa21a0ada8ab8ea08a6c558f6df9676570a2df | [
"MIT"
] | 1 | 2019-09-26T02:06:17.000Z | 2019-09-26T02:06:17.000Z | AutoPano/Phase2/Code/Test_files/TrainUnsup.py | akathpal/UMD-CMSC733-ComputerVision | f5fa21a0ada8ab8ea08a6c558f6df9676570a2df | [
"MIT"
] | null | null | null | AutoPano/Phase2/Code/Test_files/TrainUnsup.py | akathpal/UMD-CMSC733-ComputerVision | f5fa21a0ada8ab8ea08a6c558f6df9676570a2df | [
"MIT"
] | 1 | 2022-03-30T05:03:09.000Z | 2022-03-30T05:03:09.000Z | #!/usr/bin/env python
"""
CMSC733 Spring 2019: Classical and Deep Learning Approaches for
Geometric Computer Vision
Project 1: MyAutoPano: Phase 2 Starter Code
Author(s):
Nitin J. Sanket (nitinsan@terpmail.umd.edu)
PhD Candidate in Computer Science,
University of Maryland, College Park
Abhishek Kathpal
University o... | 36.32659 | 151 | 0.693691 |
833a1a0c360f3cdcf8d7b6c1f70840aed091b251 | 699 | py | Python | Lista 2/Exercicio 14.py | GiovannaPazello/Projetos-em-Python | 3cf7edbdf2a2350605a775389f7fe2cc7fe8032e | [
"MIT"
] | null | null | null | Lista 2/Exercicio 14.py | GiovannaPazello/Projetos-em-Python | 3cf7edbdf2a2350605a775389f7fe2cc7fe8032e | [
"MIT"
] | null | null | null | Lista 2/Exercicio 14.py | GiovannaPazello/Projetos-em-Python | 3cf7edbdf2a2350605a775389f7fe2cc7fe8032e | [
"MIT"
] | null | null | null | '''Faa um programa que gere nmeros aleatrios entre 0 e 50 at o nmero 32 ser
gerado. Quando isso ocorrer, informar:
a. A soma de todos os nmeros gerados
b. A quantidade de nmeros gerados que impar
c. O menor nmero gerado'''
import random
x = random.randint(0,50)
cont = 32
somaNumeros = 0
qqntImpares = 0
menorNumero =... | 23.3 | 80 | 0.690987 |
833a4ecb5ab38b8de2e042cd613f15a274dee6fa | 1,556 | py | Python | mavsim_python/chap4/wind_simulation.py | eyler94/mavsim_template_files | 181a76f15dc454f5a6f58f4596d9039cbe388cd9 | [
"MIT"
] | null | null | null | mavsim_python/chap4/wind_simulation.py | eyler94/mavsim_template_files | 181a76f15dc454f5a6f58f4596d9039cbe388cd9 | [
"MIT"
] | null | null | null | mavsim_python/chap4/wind_simulation.py | eyler94/mavsim_template_files | 181a76f15dc454f5a6f58f4596d9039cbe388cd9 | [
"MIT"
] | 1 | 2021-11-15T09:53:42.000Z | 2021-11-15T09:53:42.000Z | """
Class to determine wind velocity at any given moment,
calculates a steady wind speed and uses a stochastic
process to represent wind gusts. (Follows section 4.4 in uav book)
"""
import sys
sys.path.append('..')
import numpy as np
| 38.9 | 105 | 0.628535 |
833a7aa9cb8a7c6a6aacafb0a6fb6428d1abdec9 | 2,779 | py | Python | dx/geometric_brownian_motion.py | yehuihe/dx | 6a8c6a1605fd4314c481561ecceaaddf4528c43d | [
"Apache-2.0"
] | null | null | null | dx/geometric_brownian_motion.py | yehuihe/dx | 6a8c6a1605fd4314c481561ecceaaddf4528c43d | [
"Apache-2.0"
] | null | null | null | dx/geometric_brownian_motion.py | yehuihe/dx | 6a8c6a1605fd4314c481561ecceaaddf4528c43d | [
"Apache-2.0"
] | null | null | null | """Simulation Class -- Geometric Brownian Motion
"""
# Author: Yehui He <yehui.he@hotmail.com>
# License: Apache-2.0 License
import numpy as np
from .sn_random_numbers import sn_random_numbers
from .simulation_class import SimulationClass
| 35.628205 | 82 | 0.594458 |
833ab5ac04df4cc2bfa2f945d2155461c52e1071 | 1,039 | py | Python | yibai-sms-python-sdk-1.0.0/yibai/api/Yibai.py | 100sms/yibai-python-sdk | 9907d0fbf147b5b3ce10e4afed2ac7f19d52af3f | [
"MIT"
] | null | null | null | yibai-sms-python-sdk-1.0.0/yibai/api/Yibai.py | 100sms/yibai-python-sdk | 9907d0fbf147b5b3ce10e4afed2ac7f19d52af3f | [
"MIT"
] | null | null | null | yibai-sms-python-sdk-1.0.0/yibai/api/Yibai.py | 100sms/yibai-python-sdk | 9907d0fbf147b5b3ce10e4afed2ac7f19d52af3f | [
"MIT"
] | 1 | 2019-11-26T11:49:54.000Z | 2019-11-26T11:49:54.000Z | # encoding=utf8
import HttpUtils
| 28.861111 | 72 | 0.624639 |
833b47331d2a097b8a77501f425210bc65eeddac | 1,194 | py | Python | setup.py | nattster/lettuce_webdriver | 26b910ceef67d5b81030640ebbab0504bd59d643 | [
"MIT"
] | 24 | 2015-02-04T14:49:51.000Z | 2021-03-23T17:17:09.000Z | setup.py | nattster/lettuce_webdriver | 26b910ceef67d5b81030640ebbab0504bd59d643 | [
"MIT"
] | 4 | 2015-07-13T22:41:22.000Z | 2016-10-03T20:17:22.000Z | setup.py | nattster/lettuce_webdriver | 26b910ceef67d5b81030640ebbab0504bd59d643 | [
"MIT"
] | 12 | 2015-01-24T02:05:39.000Z | 2016-12-30T07:30:28.000Z | __version__ = '0.3.5'
import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
CHANGES = open(os.path.join(here, 'CHANGES.txt')).read()
setup(name='lettuce_webdriver',
version=__version__,
description='... | 32.27027 | 61 | 0.649079 |
833c0720b2fa02e3aacf53733cbb5dfadce129a9 | 326 | py | Python | project4/network/migrations/0005_remove_post_likers.py | mjs375/cs50_Network | 31a2399f4429931b15721861a2940b57811ae844 | [
"MIT"
] | null | null | null | project4/network/migrations/0005_remove_post_likers.py | mjs375/cs50_Network | 31a2399f4429931b15721861a2940b57811ae844 | [
"MIT"
] | null | null | null | project4/network/migrations/0005_remove_post_likers.py | mjs375/cs50_Network | 31a2399f4429931b15721861a2940b57811ae844 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2020-11-15 16:01
from django.db import migrations
| 18.111111 | 47 | 0.588957 |
833ff2663454d251a149619c7bf5edfd07d118d9 | 942 | py | Python | Commands/interested.py | hanss314/TheBrainOfTWOWCentral | a97d40ebb73904f236d7b3db6ec9f8c3fe999f4e | [
"MIT"
] | null | null | null | Commands/interested.py | hanss314/TheBrainOfTWOWCentral | a97d40ebb73904f236d7b3db6ec9f8c3fe999f4e | [
"MIT"
] | null | null | null | Commands/interested.py | hanss314/TheBrainOfTWOWCentral | a97d40ebb73904f236d7b3db6ec9f8c3fe999f4e | [
"MIT"
] | null | null | null | from Config._const import PREFIX
HELP = {
"COOLDOWN": 3,
"MAIN": "Toggles whether or not you have the `Interested in the Bot` role",
"FORMAT": "",
"CHANNEL": 0,
"USAGE": f"""Using `{PREFIX}interested` will add the `Interested in the Bot` to you, or remove it if you already
have it.""".replace("\n", "").replace(... | 34.888889 | 114 | 0.686837 |
83404f40a03d9276b97c34aee6e5fb4ad81499f8 | 101 | py | Python | gen_newsletter.py | pnijjar/google-calendar-rss | 6f4e6b9acbeffcf74112e6b33d99eaf1ea912be4 | [
"Apache-2.0"
] | 1 | 2021-06-29T04:10:48.000Z | 2021-06-29T04:10:48.000Z | gen_newsletter.py | pnijjar/google-calendar-rss | 6f4e6b9acbeffcf74112e6b33d99eaf1ea912be4 | [
"Apache-2.0"
] | 1 | 2021-06-29T05:03:36.000Z | 2021-06-29T05:03:36.000Z | gen_newsletter.py | pnijjar/google-calendar-rss | 6f4e6b9acbeffcf74112e6b33d99eaf1ea912be4 | [
"Apache-2.0"
] | 2 | 2019-08-07T15:33:25.000Z | 2021-06-29T04:37:21.000Z | #!/usr/bin/env python3
from gcal_helpers import helpers
helpers.write_transformation("newsletter")
| 16.833333 | 42 | 0.811881 |
8340e8e017d3e1c1641789fc6d116198178f84f1 | 2,550 | py | Python | qiskit/pulse/instructions/delay.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 1 | 2021-10-05T11:56:53.000Z | 2021-10-05T11:56:53.000Z | qiskit/pulse/instructions/delay.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 24 | 2021-01-27T08:20:27.000Z | 2021-07-06T09:42:28.000Z | qiskit/pulse/instructions/delay.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 4 | 2021-10-05T12:07:27.000Z | 2022-01-28T18:37:28.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 35.915493 | 99 | 0.671373 |
83419d745e57d76be4f84f2cf4a69352d320b89f | 738 | py | Python | users/urls.py | mahmutcankurt/DjangoBlogSite | 8597bbe7ed066b50e02367a98f0062deb37d251d | [
"Apache-2.0"
] | 3 | 2021-01-24T13:14:33.000Z | 2022-01-25T22:17:59.000Z | users/urls.py | mahmutcankurt1/staj | 8597bbe7ed066b50e02367a98f0062deb37d251d | [
"Apache-2.0"
] | null | null | null | users/urls.py | mahmutcankurt1/staj | 8597bbe7ed066b50e02367a98f0062deb37d251d | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from .views import signupView, activate, account_activation_sent, user_login, user_logout, user_edit_profile, user_change_password
urlpatterns = [
url(r'^register/$', signupView, name='register'),
url(r'^account_activation_sent/$', account_activation_sent, name='account_activat... | 43.411765 | 130 | 0.703252 |
8341a4470393cc4df708339799fbfe8844ec3b50 | 739 | py | Python | mosasaurus/chromaticlc/mptest.py | zkbt/mosasaurus | 8ddeaa359adda36e4c48c3c6c476c34fdc09d952 | [
"MIT"
] | 2 | 2018-08-03T16:22:27.000Z | 2018-09-03T22:46:31.000Z | mosasaurus/chromaticlc/mptest.py | zkbt/mosasaurus | 8ddeaa359adda36e4c48c3c6c476c34fdc09d952 | [
"MIT"
] | 15 | 2016-11-23T19:59:33.000Z | 2019-07-10T13:40:40.000Z | mosasaurus/chromaticlc/mptest.py | zkbt/mosasaurus | 8ddeaa359adda36e4c48c3c6c476c34fdc09d952 | [
"MIT"
] | 1 | 2016-12-02T20:53:08.000Z | 2016-12-02T20:53:08.000Z | import TransmissionSpectrum
import multiprocessing
obs = 'wasp94_140805.obs'
ncpu = multiprocessing.cpu_count()
pool = multiprocessing.Pool(ncpu)
t = TransmissionSpectrum.TransmissionSpectrum(obs)
for i in range(len(t.bins)):
fastfit(i)
#pool.map_async(fastfit, range(len(t.bins)))
#pool.map_async(slowfit, range(le... | 33.590909 | 88 | 0.741543 |
8342f7c7f2effcfa796c1cab9266d9d3d82726f5 | 1,867 | py | Python | semeval_filter.py | krzysztoffiok/twitter_sentiment_to_usnavy | 673e01336242348d9aa79e6e9b3385222bcd62d7 | [
"MIT"
] | 2 | 2021-02-19T11:17:03.000Z | 2021-11-04T06:30:48.000Z | semeval_filter.py | krzysztoffiok/twitter_sentiment_to_usnavy | 673e01336242348d9aa79e6e9b3385222bcd62d7 | [
"MIT"
] | null | null | null | semeval_filter.py | krzysztoffiok/twitter_sentiment_to_usnavy | 673e01336242348d9aa79e6e9b3385222bcd62d7 | [
"MIT"
] | 1 | 2020-05-03T09:10:21.000Z | 2020-05-03T09:10:21.000Z | import pandas as pd
import numpy as np
import datatable as dt
import re
"""
Basic pre-processing of Twitter text from SemEval2017 data set.
"""
# replace repeating characters so that only 2 repeats remain
file_names = ["./semeval_data/source_data/semtrain.csv", "./semeval_data/source_data/semtest.csv"]
for file_nam... | 34.574074 | 119 | 0.591859 |
8343385a22dd30ea40482bf144f766b74f99b606 | 6,969 | py | Python | tutorials/rhythm/plot_SlidingWindowMatching.py | bcmartinb/neurodsp | 36d8506f3bd916f83b093a62843ffb77647a6e1e | [
"Apache-2.0"
] | 154 | 2019-01-30T04:10:48.000Z | 2022-03-30T12:55:00.000Z | tutorials/rhythm/plot_SlidingWindowMatching.py | bcmartinb/neurodsp | 36d8506f3bd916f83b093a62843ffb77647a6e1e | [
"Apache-2.0"
] | 159 | 2019-01-28T22:49:36.000Z | 2022-03-17T16:42:48.000Z | tutorials/rhythm/plot_SlidingWindowMatching.py | bcmartinb/neurodsp | 36d8506f3bd916f83b093a62843ffb77647a6e1e | [
"Apache-2.0"
] | 42 | 2019-05-31T21:06:44.000Z | 2022-03-25T23:17:57.000Z | """
Sliding Window Matching
=======================
Find recurring patterns in neural signals using Sliding Window Matching.
This tutorial primarily covers the :func:`~.sliding_window_matching` function.
"""
###################################################################################################
# Overvie... | 39.822857 | 99 | 0.578275 |
8343d14fcff75c3593b87cced0b3013a8661f9e3 | 719 | py | Python | forge/auth/backends.py | django-forge/forge | 6223d2a4e7a570dfba87c3ae2e14927010fe7fd9 | [
"MIT"
] | 3 | 2022-03-30T22:14:35.000Z | 2022-03-31T22:04:42.000Z | forge/auth/backends.py | django-forge/forge | 6223d2a4e7a570dfba87c3ae2e14927010fe7fd9 | [
"MIT"
] | null | null | null | forge/auth/backends.py | django-forge/forge | 6223d2a4e7a570dfba87c3ae2e14927010fe7fd9 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.contrib.auth.backends import ModelBackend
UserModel = get_user_model()
| 28.76 | 82 | 0.66064 |
83441a6b6c5d79e325330fcd2de68468db5ae8e3 | 8,923 | py | Python | Macro/WorkFeature/Utils/WF_curve.py | myao9494/FreeCAD_Factory | 6bf3209f2295d306d4c2c8c2ded25839c837e869 | [
"MIT"
] | null | null | null | Macro/WorkFeature/Utils/WF_curve.py | myao9494/FreeCAD_Factory | 6bf3209f2295d306d4c2c8c2ded25839c837e869 | [
"MIT"
] | null | null | null | Macro/WorkFeature/Utils/WF_curve.py | myao9494/FreeCAD_Factory | 6bf3209f2295d306d4c2c8c2ded25839c837e869 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 1 06:59:10 2016
@author: laurent
"""
from __future__ import division
from math import factorial
# Pascal's triangle
p_t = [ [1], # n=0
[1,1], # n=1
[1,2,1], # n=2
[1,3,3,1], # n=3
[1,4,6,... | 27.625387 | 87 | 0.420262 |
834811bba2b38dd1f90f60e0f432be19f153a845 | 1,428 | py | Python | LeetCode/z_arrange.py | Max-PJB/python-learning2 | e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd | [
"MIT"
] | null | null | null | LeetCode/z_arrange.py | Max-PJB/python-learning2 | e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd | [
"MIT"
] | null | null | null | LeetCode/z_arrange.py | Max-PJB/python-learning2 | e8b05bef1574ee9abf8c90497e94ef20a7f4e3bd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
@ Author : pengj
@ date : 2018/11/1 19:03
@ IDE : PyCharm
@ GitHub : https://github.com/JackyPJB
@ Contact : pengjianbiao@hotmail.com
----------------... | 20.112676 | 71 | 0.497199 |
8348305c9172017dde4aba4393d6db7827e9ab1f | 970 | py | Python | old/INSTADOWNLOAD.py | Nibba2018/INSTADOWNLOAD | 4f4b831df14d2cfdcb2cf91e3710576432bc4845 | [
"MIT"
] | 1 | 2019-08-12T06:24:17.000Z | 2019-08-12T06:24:17.000Z | old/INSTADOWNLOAD.py | Nibba2018/INSTADOWNLOAD | 4f4b831df14d2cfdcb2cf91e3710576432bc4845 | [
"MIT"
] | 2 | 2019-08-12T05:29:57.000Z | 2019-08-12T10:18:24.000Z | old/INSTADOWNLOAD.py | tre3x/INSTADOWNLOAD | c8bd6f12a0abfcbac4fdeeb2994ba75067ca592d | [
"MIT"
] | 1 | 2019-08-12T10:02:14.000Z | 2019-08-12T10:02:14.000Z | import sys
from PyQt5.QtCore import pyqtSlot
from PyQt5.QtWidgets import QApplication,QDialog
from PyQt5.uic import loadUi
import requests
import urllib.request
from selenium import webdriver
app=QApplication(sys.argv)
widget=INSTADOWNLOAD()
widget.show()
sys.exit(app.exec_())
| 30.3125 | 68 | 0.694845 |
83499ec97a8ebaba9f0df370c50f48f1b192aa91 | 719 | py | Python | ved/migrations/0010_auto_20180303_1353.py | mjovanc/tidlundsved | da55a07d02f04bc636299fe4d236aa19188a359b | [
"MIT"
] | 1 | 2019-04-19T20:39:39.000Z | 2019-04-19T20:39:39.000Z | ved/migrations/0010_auto_20180303_1353.py | mjovanc/tidlundsved | da55a07d02f04bc636299fe4d236aa19188a359b | [
"MIT"
] | 3 | 2020-01-15T22:21:14.000Z | 2020-01-15T22:21:15.000Z | ved/migrations/0010_auto_20180303_1353.py | mjovanc/tidlundsved | da55a07d02f04bc636299fe4d236aa19188a359b | [
"MIT"
] | null | null | null | # Generated by Django 2.0.2 on 2018-03-03 13:53
from django.db import migrations, models
| 29.958333 | 201 | 0.606398 |
834ad9cbfb170166d5394332db47b29bcb81eb73 | 163 | py | Python | examples/plot_kde_2d.py | awesome-archive/arviz | e11432bc065d0b2280f27c901beb4ac9fc5c5dba | [
"Apache-2.0"
] | 2 | 2018-12-01T03:41:54.000Z | 2018-12-01T22:04:59.000Z | examples/plot_kde_2d.py | awesome-archive/arviz | e11432bc065d0b2280f27c901beb4ac9fc5c5dba | [
"Apache-2.0"
] | null | null | null | examples/plot_kde_2d.py | awesome-archive/arviz | e11432bc065d0b2280f27c901beb4ac9fc5c5dba | [
"Apache-2.0"
] | 1 | 2020-10-16T12:57:48.000Z | 2020-10-16T12:57:48.000Z | """
2d KDE
======
_thumb: .1, .8
"""
import arviz as az
import numpy as np
az.style.use('arviz-darkgrid')
az.plot_kde(np.random.rand(100), np.random.rand(100))
| 12.538462 | 53 | 0.650307 |
834c8fddbb55c2d6f805fb0cea2ee12883df1ec1 | 331 | py | Python | debug/read_depth_from_exr_file.py | ccj5351/hmr_rgbd | d1dcf81d72c11e1f502f2c494cd86425f384d9cc | [
"MIT"
] | null | null | null | debug/read_depth_from_exr_file.py | ccj5351/hmr_rgbd | d1dcf81d72c11e1f502f2c494cd86425f384d9cc | [
"MIT"
] | 1 | 2020-12-09T07:29:00.000Z | 2020-12-09T07:29:00.000Z | debug/read_depth_from_exr_file.py | ccj5351/hmr_rgbd | d1dcf81d72c11e1f502f2c494cd86425f384d9cc | [
"MIT"
] | null | null | null | # !/usr/bin/env python3
# -*-coding:utf-8-*-
# @file: read_depth_from_exr_file.py
# @brief:
# @author: Changjiang Cai, ccai1@stevens.edu, caicj5351@gmail.com
# @version: 0.0.1
# @creation date: 10-06-2019
# @last modified: Mon 10 Jun 2019 06:18:44 PM EDT
import cv2
dep = cv2.imread("0.exr",-1) # "-1" means any depth o... | 27.583333 | 65 | 0.682779 |