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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e91ff99a3728e01c9518fdfe79d256b14ae28af1 | 353 | py | Python | DataBase Sqlite3/NoteMeilheur.py | otmanabdoun/IHM-Python | 624e961c2f6966b98bf2c1bc4dd276b812954ba1 | [
"Apache-2.0"
] | 3 | 2021-12-08T10:34:55.000Z | 2022-01-17T21:02:40.000Z | NoteMeilheur.py | otmanabdoun/IHM-Python | 624e961c2f6966b98bf2c1bc4dd276b812954ba1 | [
"Apache-2.0"
] | null | null | null | NoteMeilheur.py | otmanabdoun/IHM-Python | 624e961c2f6966b98bf2c1bc4dd276b812954ba1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 3 04:38:07 2021
@author: User
"""
import sqlite3
connexion = sqlite3.connect("dbM2IQL.db")
curseur = connexion.cursor()
curseur.execute("""SELECT e.Nom, c.note FROM Etudiant as e INNER JOIN
CF as c ON e.id = c.fk_etudiant
ORDER BY c.note DESC LIMIT ... | 25.214286 | 70 | 0.651558 |
e921b1bc0cceec8b113f393fdb06b057357e8848 | 24,410 | py | Python | packages/robotframework-test-assistant/robotframework-test-assistant.py | jg8481/leon | b94a6c753cee79f4568ab7a83932351f7c949791 | [
"MIT"
] | 3 | 2020-01-15T20:49:42.000Z | 2020-11-22T01:41:33.000Z | packages/robotframework-test-assistant/robotframework-test-assistant.py | jg8481/leon | b94a6c753cee79f4568ab7a83932351f7c949791 | [
"MIT"
] | null | null | null | packages/robotframework-test-assistant/robotframework-test-assistant.py | jg8481/leon | b94a6c753cee79f4568ab7a83932351f7c949791 | [
"MIT"
] | 3 | 2020-01-18T17:06:56.000Z | 2020-12-16T16:03:57.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import utils
import os
import os.path
import sys
import subprocess
import re
import time
filepath = os.path.dirname(os.path.realpath(__file__))
small_time_delay = 5 ##--> Use this to set up your small time delay. This time delay is in seconds.
medium_time_delay = 20 ##--... | 70.549133 | 292 | 0.7712 |
e9225ac8234cba226c9c33772de98e2d065d77b6 | 349 | py | Python | chapter2/bandit.py | mtrazzi/understanding-rl | 83a9b7608c805189a39b4ef81893f6ebe982f9e1 | [
"MIT"
] | 95 | 2020-04-26T12:36:07.000Z | 2020-05-02T13:23:47.000Z | chapter2/bandit.py | 3outeille/rl-book-challenge | b02595b0aec3e9632ef5d9814e925384931089bd | [
"MIT"
] | 2 | 2020-09-24T20:29:29.000Z | 2021-11-27T11:17:45.000Z | chapter2/bandit.py | 3outeille/rl-book-challenge | b02595b0aec3e9632ef5d9814e925384931089bd | [
"MIT"
] | 15 | 2020-04-27T04:10:02.000Z | 2020-04-30T21:42:04.000Z | import numpy as np
| 19.388889 | 52 | 0.638968 |
e92450a33cbfd0332cf6d8991a025ba1f22e0f12 | 1,765 | py | Python | Sublime_Plugin/EditFormat.py | dtysky/Gal2Renpy | 59a70c5d336394155dedaf82d17bd99297f92d1a | [
"MIT"
] | 36 | 2015-04-19T05:03:10.000Z | 2022-03-29T08:12:38.000Z | Sublime_Plugin/EditFormat.py | dtysky/Gal2Renpy | 59a70c5d336394155dedaf82d17bd99297f92d1a | [
"MIT"
] | 2 | 2016-05-05T07:24:09.000Z | 2017-11-01T05:32:11.000Z | Sublime_Plugin/EditFormat.py | dtysky/Gal2Renpy | 59a70c5d336394155dedaf82d17bd99297f92d1a | [
"MIT"
] | 2 | 2016-12-01T02:12:33.000Z | 2020-03-09T02:27:19.000Z | #coding:utf-8
#########################
#Copyright(c) 2014 dtysky
######################### | 19.611111 | 82 | 0.273088 |
e924c56b0295f7f4a6d78dab18bd9428b1fe0209 | 272 | py | Python | wesgame.py | WestenPy/Curso_em_video | 9f6a9775d27e1b86d54b381aba5da69b2ae21b27 | [
"MIT"
] | null | null | null | wesgame.py | WestenPy/Curso_em_video | 9f6a9775d27e1b86d54b381aba5da69b2ae21b27 | [
"MIT"
] | null | null | null | wesgame.py | WestenPy/Curso_em_video | 9f6a9775d27e1b86d54b381aba5da69b2ae21b27 | [
"MIT"
] | null | null | null | from random import randint
ataque()
| 16 | 31 | 0.5 |
e924f0db03f4f2a8c126f7c109a518852a2aa24a | 6,850 | py | Python | ProcessingData/get_gp-bias.py | gomes-lab/SARA_ScienceAdvances | 61848d1c92a66bd58c8c195e5b2bb250ef8efb51 | [
"MIT"
] | 1 | 2022-01-13T12:17:29.000Z | 2022-01-13T12:17:29.000Z | ProcessingData/get_gp-bias.py | gomes-lab/SARA_ScienceAdvances | 61848d1c92a66bd58c8c195e5b2bb250ef8efb51 | [
"MIT"
] | null | null | null | ProcessingData/get_gp-bias.py | gomes-lab/SARA_ScienceAdvances | 61848d1c92a66bd58c8c195e5b2bb250ef8efb51 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Script to extract the gp bias features from microscopy images
"""
import sys
import json
import os
import copy as cp
import numpy as np
import glob
import matplotlib.pyplot as plt
import matplotlib
from numpy.polynomial import polynomial
import offsets as GS
from probability_dist import *
imp... | 35.492228 | 163 | 0.646277 |
e925522b3d3915457215980e5bca266c8fd2ff38 | 2,448 | py | Python | monitoring/automation/monitor.py | shane0/flask-website-monitor | 39031b9207c97baef4b10a792e038f241bcdc857 | [
"MIT"
] | 1 | 2017-04-13T05:29:15.000Z | 2017-04-13T05:29:15.000Z | monitoring/automation/monitor.py | shane0/flask-website-monitor | 39031b9207c97baef4b10a792e038f241bcdc857 | [
"MIT"
] | 1 | 2017-04-12T23:44:58.000Z | 2017-04-12T23:44:58.000Z | monitoring/automation/monitor.py | shane0/flask-website-monitor | 39031b9207c97baef4b10a792e038f241bcdc857 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
A website monitor.
"""
import sys
import traceback
import requests
import re
import json
import datetime
DEFAULT_CONFIG_FILE = 'config.json'
| 28.137931 | 126 | 0.541258 |
e9268aab7efb78626ab35cbb0daf3f9adf12bcb0 | 253 | py | Python | tests/test_MicropythonBoards.py | dwighthubbard/micropython-cloudmanager | 1b41eeaf7f5a34a622826bf0030a9f5c45d1aefc | [
"MIT"
] | 1 | 2017-02-22T03:18:48.000Z | 2017-02-22T03:18:48.000Z | tests/test_MicropythonBoards.py | dwighthubbard/micropython-cloudmanager | 1b41eeaf7f5a34a622826bf0030a9f5c45d1aefc | [
"MIT"
] | null | null | null | tests/test_MicropythonBoards.py | dwighthubbard/micropython-cloudmanager | 1b41eeaf7f5a34a622826bf0030a9f5c45d1aefc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
import sys
sys.path.insert(0, '.')
from cloudmanager.board import MicropythonBoards
for result in MicropythonBoards().execute("import os;print(os.uname())"):
print(result.read().strip())
| 25.3 | 73 | 0.754941 |
e92912ace35fc868f85b6a3bdb13260570590334 | 412 | py | Python | Chapter03/c3_27_datadotworld_1.py | andrewjcoxon/Hands-On-Data-Science-with-Anaconda | 82504a059ecd284b3599fa9af2b3eb6bbd6e28f3 | [
"MIT"
] | 25 | 2018-06-25T16:21:09.000Z | 2022-02-08T09:28:29.000Z | Hands-On-Data-Science-with-Anaconda-master/Hands-On-Data-Science-with-Anaconda-master/Chapter03/c3_27_datadotworld_1.py | manual123/Nacho-Jupyter-Notebooks | e75523434b1a90313a6b44e32b056f63de8a7135 | [
"MIT"
] | null | null | null | Hands-On-Data-Science-with-Anaconda-master/Hands-On-Data-Science-with-Anaconda-master/Chapter03/c3_27_datadotworld_1.py | manual123/Nacho-Jupyter-Notebooks | e75523434b1a90313a6b44e32b056f63de8a7135 | [
"MIT"
] | 17 | 2018-06-15T02:55:30.000Z | 2022-03-09T15:24:42.000Z | """
Name : c3_27_datadotworld_1.py
Book : Hands-on Data Science with Anaconda)
Publisher: Packt Publishing Ltd.
Author : Yuxing Yan and James Yan
Date : 1/15/2018
email : yany@canisius.edu
paulyxy@hotmail.com
"""
import datadotworld as dw
dataset = 'jonloyens/an-intro-to-dat... | 27.466667 | 51 | 0.694175 |
e92a3ce5abab1bfe02516472d0fc6c56a482d48d | 15,964 | py | Python | strutil.py | IloveKanade/k3fmt | 13a81562b9fc706dbf7fc05fcae130260bc2551d | [
"MIT"
] | null | null | null | strutil.py | IloveKanade/k3fmt | 13a81562b9fc706dbf7fc05fcae130260bc2551d | [
"MIT"
] | 3 | 2021-08-06T07:24:40.000Z | 2022-03-23T06:58:36.000Z | strutil.py | IloveKanade/k3fmt | 13a81562b9fc706dbf7fc05fcae130260bc2551d | [
"MIT"
] | 1 | 2021-08-04T08:41:33.000Z | 2021-08-04T08:41:33.000Z | import re
import os
import errno
import string
import subprocess
import k3color
listtype = (tuple, list)
invisible_chars = ''.join(map(chr, list(range(0, 32))))
invisible_chars_re = re.compile('[%s]' % re.escape(invisible_chars))
def line_pad(linestr, padding=''):
"""
:param linestr: multiple line string ... | 26.084967 | 103 | 0.5057 |
e92ba6f82fbd7b5de0f238a51cd87521f2ccd146 | 16,920 | py | Python | camera.py | Euclideon/udSDKPython | a82157ab6382fda6291bdcca9ec2a51203b95b2a | [
"MIT"
] | 4 | 2020-09-03T05:35:15.000Z | 2021-11-08T04:31:55.000Z | camera.py | Euclideon/udSDKPython | a82157ab6382fda6291bdcca9ec2a51203b95b2a | [
"MIT"
] | 1 | 2020-08-18T06:49:21.000Z | 2020-08-18T06:49:21.000Z | camera.py | Euclideon/udSDKPython | a82157ab6382fda6291bdcca9ec2a51203b95b2a | [
"MIT"
] | 1 | 2020-09-11T07:52:32.000Z | 2020-09-11T07:52:32.000Z | import logging
import math
import numpy as np
import pyglet
import udSDK
logger = logging.getLogger(__name__)
def get_view_vertices(self):
"""
Returns
-------
the extents of the viewing volume projected onto 2d space
"""
#TODO make this correctly display the location of near and far plane... | 29.32409 | 176 | 0.642317 |
e930d65f391b7723982c2721df59191c1d9d3a9f | 316 | py | Python | src/menu.py | simonenicf/Escape-from-Narlilia | cd512860e74d5df81504cccbcb667fdf794c8dda | [
"MIT"
] | null | null | null | src/menu.py | simonenicf/Escape-from-Narlilia | cd512860e74d5df81504cccbcb667fdf794c8dda | [
"MIT"
] | 1 | 2020-11-03T13:41:49.000Z | 2020-11-03T14:05:22.000Z | src/menu.py | simonenicf/Escape-from-Narlilia | cd512860e74d5df81504cccbcb667fdf794c8dda | [
"MIT"
] | null | null | null | import sys
| 24.307692 | 60 | 0.487342 |
e9321bfef23bb209db9bf3ff382e024a2aab02ee | 337 | py | Python | envipyarclib/gptool/parameter/templates/ulong64array.py | envi-idl/envipyarclib | 90135652510c3d53c5f51177252c1fea2639bf22 | [
"MIT"
] | 1 | 2019-08-03T05:10:18.000Z | 2019-08-03T05:10:18.000Z | envipyarclib/gptool/parameter/templates/ulong64array.py | envi-idl/envipyarclib | 90135652510c3d53c5f51177252c1fea2639bf22 | [
"MIT"
] | null | null | null | envipyarclib/gptool/parameter/templates/ulong64array.py | envi-idl/envipyarclib | 90135652510c3d53c5f51177252c1fea2639bf22 | [
"MIT"
] | 1 | 2020-02-25T14:12:50.000Z | 2020-02-25T14:12:50.000Z | """
Defines the parameter template for the specified data type.
"""
from .basicarray import BASICARRAY
def template():
"""Factory method for this parameter template class"""
return ULONG64ARRAY('GPLong')
| 19.823529 | 63 | 0.706231 |
e9324103dd727dbfbcd73f1ba4bae58a0ea2e051 | 41,336 | py | Python | Dataflow/full_executer_wordshop.py | Smurf-maker/WordShop | ac0095ee28207f23744337d4cb35c5ca764d7e26 | [
"MIT"
] | null | null | null | Dataflow/full_executer_wordshop.py | Smurf-maker/WordShop | ac0095ee28207f23744337d4cb35c5ca764d7e26 | [
"MIT"
] | null | null | null | Dataflow/full_executer_wordshop.py | Smurf-maker/WordShop | ac0095ee28207f23744337d4cb35c5ca764d7e26 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Full Executer WordShop.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1kGSQWNtImJknauUN9L8ZRRwIzAdwbmo_
First, we load the pegasus paraphraser.
"""
# Commented out IPython magic to ensure Python compatibility.
!git cl... | 42.483042 | 230 | 0.682287 |
e932fb4ec343373146508adfa905b3c8915cb66b | 4,831 | py | Python | train.py | ppujol76/-Pere_Transformers | e267bcc6559c998accaed647cacbff253031f8b0 | [
"MIT"
] | null | null | null | train.py | ppujol76/-Pere_Transformers | e267bcc6559c998accaed647cacbff253031f8b0 | [
"MIT"
] | null | null | null | train.py | ppujol76/-Pere_Transformers | e267bcc6559c998accaed647cacbff253031f8b0 | [
"MIT"
] | 1 | 2021-06-21T08:40:18.000Z | 2021-06-21T08:40:18.000Z | import torch
import os
from model.visualization import Visualization
from panel.main import tensorboard_panel
from torch.utils.data.dataset import Subset
import random
import numpy as np
def split_subsets(dataset,train_percentage=0.8,all_captions=True):
"""
Performs the split of the dataset into Train and Test
""" ... | 35.262774 | 114 | 0.673981 |
e933799d41eabf2ce3d0578ad558fcf9ab8d220d | 2,251 | py | Python | views/probabilidade.py | pxcx/ambar-backend | 350baabb492e4fbc1002ea851d1cef4fc999b81a | [
"MIT"
] | null | null | null | views/probabilidade.py | pxcx/ambar-backend | 350baabb492e4fbc1002ea851d1cef4fc999b81a | [
"MIT"
] | null | null | null | views/probabilidade.py | pxcx/ambar-backend | 350baabb492e4fbc1002ea851d1cef4fc999b81a | [
"MIT"
] | null | null | null | from flask import jsonify
from sqlalchemy import func
from datetime import datetime, date
from models.previsao import Previsao, db | 39.491228 | 97 | 0.52821 |
e937f0e5ec885071b7daceb7fa5456d999a1e95f | 293 | py | Python | scripts/makeNegativesList.py | jccaicedo/localization-agent | d280acf355307b74e68dca9ec80ab293f0d18642 | [
"MIT"
] | 8 | 2016-11-20T19:43:45.000Z | 2020-12-09T04:58:05.000Z | scripts/makeNegativesList.py | jccaicedo/localization-agent | d280acf355307b74e68dca9ec80ab293f0d18642 | [
"MIT"
] | 45 | 2015-05-04T20:41:05.000Z | 2017-07-17T12:04:13.000Z | scripts/makeNegativesList.py | jccaicedo/localization-agent | d280acf355307b74e68dca9ec80ab293f0d18642 | [
"MIT"
] | 9 | 2016-11-20T19:43:46.000Z | 2020-09-01T21:01:54.000Z | import sys,os
import utils as cu
params = cu.loadParams('fullList positivesList output')
full = [x for x in open(params['fullList'])]
positives = [x for x in open(params['positivesList'])]
out = open(params['output'],'w')
for r in full:
if r not in positives:
out.write(r)
out.close()
| 22.538462 | 55 | 0.692833 |
e93a77efc359563f0911c10f45a8c7e3f5ed8fd4 | 1,354 | py | Python | tests/test_model.py | alexdawn/rollinghub | 6043c12520d7e0b0596f28c166616c1014e1f870 | [
"MIT"
] | null | null | null | tests/test_model.py | alexdawn/rollinghub | 6043c12520d7e0b0596f28c166616c1014e1f870 | [
"MIT"
] | 11 | 2019-08-18T21:37:28.000Z | 2022-03-21T22:17:37.000Z | tests/test_model.py | alexdawn/rollinghub | 6043c12520d7e0b0596f28c166616c1014e1f870 | [
"MIT"
] | null | null | null | import pytest
from rollinghub.db import get_db
| 27.08 | 72 | 0.656573 |
e93be486b0635edc83619c16da55bfa370ed7c0e | 19,672 | py | Python | openpype/hosts/unreal/plugins/load/load_camera.py | Tilix4/OpenPype | 8909bd890170880aa7ec8b673abaa25a9bdf40f2 | [
"MIT"
] | 1 | 2022-02-08T15:40:41.000Z | 2022-02-08T15:40:41.000Z | openpype/hosts/unreal/plugins/load/load_camera.py | zafrs/OpenPype | 4b8e7e1ed002fc55b31307efdea70b0feaed474f | [
"MIT"
] | null | null | null | openpype/hosts/unreal/plugins/load/load_camera.py | zafrs/OpenPype | 4b8e7e1ed002fc55b31307efdea70b0feaed474f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Load camera from FBX."""
from pathlib import Path
import unreal
from unreal import EditorAssetLibrary
from unreal import EditorLevelLibrary
from unreal import EditorLevelUtils
from openpype.pipeline import (
AVALON_CONTAINER_ID,
legacy_io,
)
from openpype.hosts.unreal.api import plu... | 35.509025 | 79 | 0.573861 |
e93d157cf7aab5c1bcb7bfeee8e1f4209c714ad6 | 2,862 | py | Python | recommander-lib/src/main.py | armendu/recommander-system | e2d13838237584cc5cc4de2f4ea2d63f9f3b8889 | [
"MIT"
] | 1 | 2021-04-29T04:15:13.000Z | 2021-04-29T04:15:13.000Z | recommander-lib/src/main.py | armendu/recommander-system | e2d13838237584cc5cc4de2f4ea2d63f9f3b8889 | [
"MIT"
] | null | null | null | recommander-lib/src/main.py | armendu/recommander-system | e2d13838237584cc5cc4de2f4ea2d63f9f3b8889 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Main application file
"""
__author__ = "Armend Ukehaxhaj"
__version__ = "1.0.0"
__license__ = "MIT"
from logzero import logger
import numpy as np
import pandas as pd
import csv
import pickle
from word2vec import word2vec
from preprocessor import preprocessor
import json
primary_data_filen... | 27.519231 | 74 | 0.615653 |
e93d7534c6c036af381481b03aad9004f87feec7 | 27 | py | Python | tests/models/__init__.py | Stevenjin8/song2vec | 908de06881d0598dcd2869d89709a2d50654a7fe | [
"MIT"
] | null | null | null | tests/models/__init__.py | Stevenjin8/song2vec | 908de06881d0598dcd2869d89709a2d50654a7fe | [
"MIT"
] | null | null | null | tests/models/__init__.py | Stevenjin8/song2vec | 908de06881d0598dcd2869d89709a2d50654a7fe | [
"MIT"
] | null | null | null | """Tests for ML models."""
| 13.5 | 26 | 0.592593 |
e93dd26357433b7e319a7cf157df9046ce5be7e6 | 2,378 | py | Python | spark_auto_mapper/data_types/datetime.py | gagan-chawla/SparkAutoMapper | 7b0aca2e4bece42b3229550f3f2fcc9607f79437 | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper/data_types/datetime.py | gagan-chawla/SparkAutoMapper | 7b0aca2e4bece42b3229550f3f2fcc9607f79437 | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper/data_types/datetime.py | gagan-chawla/SparkAutoMapper | 7b0aca2e4bece42b3229550f3f2fcc9607f79437 | [
"Apache-2.0"
] | null | null | null | from typing import Optional, List
from pyspark.sql import Column, DataFrame
from pyspark.sql.functions import coalesce, to_timestamp
from spark_auto_mapper.data_types.column import AutoMapperDataTypeColumn
from spark_auto_mapper.data_types.data_type_base import AutoMapperDataTypeBase
from spark_auto_mapper.data_types... | 38.983607 | 109 | 0.670311 |
e93e7a9f148352765158065775751a4ec95c81cf | 1,425 | py | Python | backend/registry/migrations/0002_auto_20220105_1336.py | mrmap-community/MrMap | 5dc05b7a5339b967047cd207755718f670a1d7cd | [
"MIT"
] | 10 | 2021-03-12T17:46:38.000Z | 2022-03-11T10:59:01.000Z | backend/registry/migrations/0002_auto_20220105_1336.py | mrmap-community/mrmap | 5dc05b7a5339b967047cd207755718f670a1d7cd | [
"MIT"
] | 214 | 2021-03-10T19:24:17.000Z | 2022-03-15T07:34:24.000Z | backend/registry/migrations/0002_auto_20220105_1336.py | mrmap-community/MrMap | 5dc05b7a5339b967047cd207755718f670a1d7cd | [
"MIT"
] | 9 | 2021-03-16T19:47:54.000Z | 2022-03-11T11:01:22.000Z | # Generated by Django 3.2.9 on 2022-01-05 12:36
from django.db import migrations, models
import django.db.models.manager
| 36.538462 | 162 | 0.65193 |
e93e898e14d862c8186e0e63f6ce2ac5ff75423c | 15,524 | py | Python | relah.py | ttwj/ReLah | 8231636d4698001dc615848096a97ebd78ae2713 | [
"WTFPL"
] | 3 | 2020-01-31T08:22:49.000Z | 2021-01-10T20:02:37.000Z | relah.py | ttwj/ReLah | 8231636d4698001dc615848096a97ebd78ae2713 | [
"WTFPL"
] | null | null | null | relah.py | ttwj/ReLah | 8231636d4698001dc615848096a97ebd78ae2713 | [
"WTFPL"
] | null | null | null | # Python implementation of DBS PayLah!
# By ttwj - 2017
import base64
import random
import string
#remember to install pycryptodome!
import datetime
from Crypto.Cipher import AES, PKCS1_v1_5
from Crypto.PublicKey import RSA
import lxml.etree, json
from lxml import html
from pprint import pprint
from io import String... | 33.67462 | 987 | 0.626578 |
e93fa44d8c8e89fa596f6f1e1b5862803b660a31 | 13,090 | py | Python | st_dashboard.py | amirtaghavy/TDI-capstone-RedditTalks-vs-MarketAction | 62d6b754348ed7ae5d5ef4bd31eb2553a76c8892 | [
"MIT"
] | null | null | null | st_dashboard.py | amirtaghavy/TDI-capstone-RedditTalks-vs-MarketAction | 62d6b754348ed7ae5d5ef4bd31eb2553a76c8892 | [
"MIT"
] | null | null | null | st_dashboard.py | amirtaghavy/TDI-capstone-RedditTalks-vs-MarketAction | 62d6b754348ed7ae5d5ef4bd31eb2553a76c8892 | [
"MIT"
] | null | null | null | import streamlit as st
import dill
import pandas as pd
import plotly.express as px
from datetime import date
import statsmodels
with open('compiled-sentiment-history.pkd', 'rb') as f:
df_compiled = dill.load(f)
df_compiled.drop_duplicates(inplace=True)
dates = list({idx[1] for idx in df_compiled.ind... | 55.940171 | 504 | 0.58793 |
e940349493488e9c1525d630923a4b14c70fd2d8 | 745 | py | Python | hoofball/migrations/0002_comment.py | leo-holanda/Hoofball | ccf4399d33a6381acd2ff41efce3dbf0dca6a092 | [
"MIT"
] | 1 | 2021-07-30T10:05:43.000Z | 2021-07-30T10:05:43.000Z | hoofball/migrations/0002_comment.py | leo-holanda/Hoofball | ccf4399d33a6381acd2ff41efce3dbf0dca6a092 | [
"MIT"
] | null | null | null | hoofball/migrations/0002_comment.py | leo-holanda/Hoofball | ccf4399d33a6381acd2ff41efce3dbf0dca6a092 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-03-01 20:26
from django.db import migrations, models
import django.utils.timezone
| 29.8 | 114 | 0.587919 |
e9417a482c1a501cccd1b38f496ec064d6eb9c78 | 627 | py | Python | clock/clock/lib.py | litheblas/blasrummet-rpi | 5300e61c0d0d93fd77cd489eb02165793453b99f | [
"MIT"
] | null | null | null | clock/clock/lib.py | litheblas/blasrummet-rpi | 5300e61c0d0d93fd77cd489eb02165793453b99f | [
"MIT"
] | null | null | null | clock/clock/lib.py | litheblas/blasrummet-rpi | 5300e61c0d0d93fd77cd489eb02165793453b99f | [
"MIT"
] | null | null | null | from __future__ import absolute_import, unicode_literals
import logging
from time import sleep
from datetime import datetime
from .settings import PULSE_DURATION
from .io import pull, release
logger = logging.getLogger(__name__)
def sleep_until_next_minute():
"""
Sleeps until the time is xx:xx:00 with good... | 24.115385 | 77 | 0.717703 |
e9425f8008305f97cda9a9d9e3075c0d79dde033 | 38 | py | Python | CH_03_pythonic_syntax/T_17_mypy.py | mastering-python/code_2 | 441af8b67402c8216c482cca7c002e1d7f0f1baa | [
"MIT"
] | null | null | null | CH_03_pythonic_syntax/T_17_mypy.py | mastering-python/code_2 | 441af8b67402c8216c482cca7c002e1d7f0f1baa | [
"MIT"
] | null | null | null | CH_03_pythonic_syntax/T_17_mypy.py | mastering-python/code_2 | 441af8b67402c8216c482cca7c002e1d7f0f1baa | [
"MIT"
] | null | null | null | some_number: int
some_number = 'test'
| 12.666667 | 20 | 0.763158 |
e9432f57bd7e613914b0ff79424dc9823a1f7a75 | 2,513 | py | Python | crowdgezwitscher/users/migrations/0004_auto_20170402_1358.py | Strassengezwitscher/Crowdgezwitscher | afdd433acb35c1a554ba79464b744975de065151 | [
"MIT"
] | 4 | 2016-07-22T07:20:31.000Z | 2016-11-13T18:13:34.000Z | crowdgezwitscher/users/migrations/0004_auto_20170402_1358.py | Strassengezwitscher/Strassengezwitscher | afdd433acb35c1a554ba79464b744975de065151 | [
"MIT"
] | 402 | 2016-04-26T08:38:17.000Z | 2022-03-11T23:26:49.000Z | crowdgezwitscher/users/migrations/0004_auto_20170402_1358.py | Strassengezwitscher/Crowdgezwitscher | afdd433acb35c1a554ba79464b744975de065151 | [
"MIT"
] | 1 | 2018-01-14T16:58:57.000Z | 2018-01-14T16:58:57.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-04-02 13:58
from django.db import migrations
def forwards_func(apps, schema_editor):
"""Grant permissions for TwitterAccount to admins and mods.
Includes creating a new view permission.
"""
# We can't import the models directly as they may be... | 36.955882 | 108 | 0.702746 |
e945ff9db15d3f14ca3c606adc1612355944457e | 909 | py | Python | gallery/03_sp/plot_wavelets.py | RandallBalestriero/TheanoXLA | d8778c2eb3254b478cef4f45d934bf921e695619 | [
"Apache-2.0"
] | 67 | 2020-02-21T21:26:46.000Z | 2020-06-14T14:25:42.000Z | gallery/03_sp/plot_wavelets.py | RandallBalestriero/TheanoXLA | d8778c2eb3254b478cef4f45d934bf921e695619 | [
"Apache-2.0"
] | 8 | 2020-02-22T14:45:56.000Z | 2020-06-07T16:56:47.000Z | gallery/03_sp/plot_wavelets.py | RandallBalestriero/TheanoXLA | d8778c2eb3254b478cef4f45d934bf921e695619 | [
"Apache-2.0"
] | 4 | 2020-02-21T17:34:46.000Z | 2020-05-30T08:30:14.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# flake8: noqa
"""
Morlet Wavelet in time and Fourier domain
=========================================
This example shows how to generate a wavelet filter-bank.
"""
import symjax
import symjax.tensor as T
import matplotlib.pyplot as plt
import numpy as np
J = 5
Q = 4
s... | 22.170732 | 73 | 0.628163 |
3a5d52f7066df721bcc6a4454c0e49f976cabd83 | 39 | py | Python | kfdata/__main__.py | kylef-archive/KFData.py | 685d58255c9f8518834e395d94d3b75d3dd3eceb | [
"BSD-3-Clause"
] | 1 | 2015-11-08T13:23:39.000Z | 2015-11-08T13:23:39.000Z | kfdata/__main__.py | kylef/KFData.py | 685d58255c9f8518834e395d94d3b75d3dd3eceb | [
"BSD-3-Clause"
] | null | null | null | kfdata/__main__.py | kylef/KFData.py | 685d58255c9f8518834e395d94d3b75d3dd3eceb | [
"BSD-3-Clause"
] | null | null | null | from kfdata.manage import main
main()
| 9.75 | 30 | 0.769231 |
3a5f1a224d28494c27bf5124ac4e6a08b36bb55e | 240 | py | Python | com/sujoym/basic/sys.py | sujoym/python-examples | ee49a6aeb50749611341b2850587b30c38b34509 | [
"Apache-2.0"
] | null | null | null | com/sujoym/basic/sys.py | sujoym/python-examples | ee49a6aeb50749611341b2850587b30c38b34509 | [
"Apache-2.0"
] | null | null | null | com/sujoym/basic/sys.py | sujoym/python-examples | ee49a6aeb50749611341b2850587b30c38b34509 | [
"Apache-2.0"
] | null | null | null | import sys
#sys.stderr.write('Stderr text\n');
#sys.stderr.flush()
#sys.stdout.write('Stdout text\n');
#print(sys.argv[1])
#if len(sys.argv)>1:
# print(float(sys.argv[1])*5);
main(sys.argv[1]);
| 17.142857 | 35 | 0.641667 |
3a5f95c4dd3189822a688ab6608502a352c54b4b | 167 | py | Python | slackforms/handlers/__init__.py | Albatrous/django-slack-forms | baee37942085bf2f9e35beb9a4a4aa767b319b35 | [
"MIT"
] | 1 | 2019-06-20T00:11:58.000Z | 2019-06-20T00:11:58.000Z | slackforms/handlers/__init__.py | Albatrous/django-slack-forms | baee37942085bf2f9e35beb9a4a4aa767b319b35 | [
"MIT"
] | 3 | 2020-02-11T23:46:14.000Z | 2021-06-10T21:10:37.000Z | slackforms/handlers/__init__.py | Albatrous/django-slack-forms | baee37942085bf2f9e35beb9a4a4aa767b319b35 | [
"MIT"
] | 3 | 2019-12-13T06:53:18.000Z | 2021-06-04T07:12:56.000Z | # flake8: noqa
from .form import FormHandler
from .slash import SlashHandler
from .manual import ManualHandler
from .interactions import ActionHandler, MessageHandler
| 27.833333 | 55 | 0.838323 |
3a61c5a4f7f2b0b08f169681bdd4f9538e9142c6 | 13,902 | py | Python | RocMethod.py | meiyuanqing/MetaThreshold | fbccc7e5356606b929211eedaf5371506232c1b5 | [
"MIT"
] | null | null | null | RocMethod.py | meiyuanqing/MetaThreshold | fbccc7e5356606b929211eedaf5371506232c1b5 | [
"MIT"
] | null | null | null | RocMethod.py | meiyuanqing/MetaThreshold | fbccc7e5356606b929211eedaf5371506232c1b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding:utf-8
"""
Author : Yuanqing Mei
Date : 2021/4/8
Time: 15:42
File: RocMethod.py
HomePage : http://github.com/yuanqingmei
Email : dg1533019@smail.nju.edu.cn
This script find out the cutoff of a metric value by maximizing the AUC value and ROCBPPMFMGM methods.
References
[1] Bender, R. ... | 47.447099 | 120 | 0.535319 |
3a6257117bb5b39b2295a1e04bfebd82a73a4f27 | 1,372 | py | Python | app/models.py | jonathankamau/note-taking-app | f7315dbde34d1a06aa10bc0548fc85770fa4c142 | [
"MIT"
] | 1 | 2020-07-18T16:35:42.000Z | 2020-07-18T16:35:42.000Z | app/models.py | jonathankamau/note-taking-app | f7315dbde34d1a06aa10bc0548fc85770fa4c142 | [
"MIT"
] | 32 | 2020-07-19T18:19:24.000Z | 2021-06-04T23:45:34.000Z | app/models.py | jonathankamau/note-taking-app | f7315dbde34d1a06aa10bc0548fc85770fa4c142 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
| 29.826087 | 78 | 0.715015 |
3a63a86305fa3e3ced908249d69f673dd8d16d58 | 717 | py | Python | migrations/versions/2018-09-27_12:25:31__3cbc86a0a9d7.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | migrations/versions/2018-09-27_12:25:31__3cbc86a0a9d7.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | migrations/versions/2018-09-27_12:25:31__3cbc86a0a9d7.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | """empty message
Revision ID: 3cbc86a0a9d7
Revises: 77894fcde804
Create Date: 2018-09-27 12:25:31.893545
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3cbc86a0a9d7'
down_revision = '77894fcde804'
branch_labels = None
depends_on = None
| 24.724138 | 106 | 0.707113 |
3a640b59523119016904d7053ed1bc557df19331 | 2,685 | py | Python | mp_roguelike/ai.py | nonk123/mp_roguelike | 48785b44dd3f2518a5a639a6609670408e7ea1f5 | [
"MIT"
] | null | null | null | mp_roguelike/ai.py | nonk123/mp_roguelike | 48785b44dd3f2518a5a639a6609670408e7ea1f5 | [
"MIT"
] | null | null | null | mp_roguelike/ai.py | nonk123/mp_roguelike | 48785b44dd3f2518a5a639a6609670408e7ea1f5 | [
"MIT"
] | null | null | null | import random
from .util import sign
| 26.584158 | 79 | 0.582495 |
3a640e6170ae4b45fbad29d7cf0c3f5b49ab9f01 | 83 | py | Python | mach_cad/model_obj/materials/__init__.py | Severson-Group/MachEval | dbb7999188133f8744636da53cab475ae538ce80 | [
"BSD-3-Clause"
] | 6 | 2021-11-02T20:12:32.000Z | 2021-11-13T10:50:35.000Z | mach_cad/model_obj/materials/__init__.py | Severson-Group/MachEval | dbb7999188133f8744636da53cab475ae538ce80 | [
"BSD-3-Clause"
] | 18 | 2021-11-29T20:14:55.000Z | 2022-03-02T07:17:37.000Z | mach_cad/model_obj/materials/__init__.py | Severson-Group/MachEval | dbb7999188133f8744636da53cab475ae538ce80 | [
"BSD-3-Clause"
] | 1 | 2022-01-29T00:52:38.000Z | 2022-01-29T00:52:38.000Z |
from .material_generic import *
__all__ = []
__all__ += material_generic.__all__ | 13.833333 | 35 | 0.759036 |
3a6432af138a6ef234f6f37cbbda6934b7bb3c37 | 7,657 | py | Python | hpc-historias-clinicas/settings.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/settings.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/settings.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | import os
PROJECT_ROOT = os.path.dirname(__file__)
# DEBUG
# See: https://docs.djangoproject.com/en/dev/ref/settings/#debug
DEBUG = False
# See: https://docs.djangoproject.com/en/dev/ref/settings/#template-debug
TEMPLATE_DEBUG = DEBUG
# END DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS... | 38.094527 | 87 | 0.750947 |
3a66f861ec173370f50a0b31924da0bccb5e1872 | 2,661 | py | Python | romanyh/transposition.py | napulen/romanyh | 34bc75d40bf532eb20607db763fcbc2693cac35f | [
"BSD-3-Clause"
] | null | null | null | romanyh/transposition.py | napulen/romanyh | 34bc75d40bf532eb20607db763fcbc2693cac35f | [
"BSD-3-Clause"
] | 5 | 2020-12-08T04:37:21.000Z | 2021-01-06T03:36:30.000Z | romanyh/transposition.py | napulen/romanyh | 34bc75d40bf532eb20607db763fcbc2693cac35f | [
"BSD-3-Clause"
] | null | null | null | import re
import sys
from music21.interval import Interval
from music21.key import Key
def findKeysInRomanTextString(rntxt):
"""Get all the keys in a RomanText string.
Receive a string with valid RomanText content.
Output a list of all the key changes that happen
throughout the content.
"""
... | 36.452055 | 70 | 0.693724 |
3a67795832eb29853a6ccb60a0d65c013b0a8f82 | 4,847 | py | Python | management_api_app/tests_ma/test_service_bus/test_deployment_status_update.py | LizaShak/AzureTRE | b845eb4b73439ef7819565aaadb36f43b6484ad9 | [
"MIT"
] | 2 | 2021-11-14T16:57:16.000Z | 2022-03-13T15:14:26.000Z | management_api_app/tests_ma/test_service_bus/test_deployment_status_update.py | anatbal/AzureTRE | d1d4891657c737092e761c4aaf80b04ff0f03fc7 | [
"MIT"
] | null | null | null | management_api_app/tests_ma/test_service_bus/test_deployment_status_update.py | anatbal/AzureTRE | d1d4891657c737092e761c4aaf80b04ff0f03fc7 | [
"MIT"
] | null | null | null | import json
import pytest
import uuid
from mock import AsyncMock, patch
from db.errors import EntityDoesNotExist
from models.domain.resource import Status
from models.domain.workspace import Workspace
from models.domain.resource import Deployment
from resources import strings
from service_bus.deployment_status_update... | 41.784483 | 115 | 0.810192 |
3a67c5e3bdd0bcd555184047e8d52728b4026b70 | 1,384 | py | Python | fms-python/face_core.py | seanarwa/firm | 774965004766c2ce59e17bb08692370280b3e95c | [
"Apache-2.0"
] | null | null | null | fms-python/face_core.py | seanarwa/firm | 774965004766c2ce59e17bb08692370280b3e95c | [
"Apache-2.0"
] | null | null | null | fms-python/face_core.py | seanarwa/firm | 774965004766c2ce59e17bb08692370280b3e95c | [
"Apache-2.0"
] | null | null | null | import os
import time
import logging as log
import numpy as np
from scikit-learn.preprocessing import normalize
# local modules
import config | 33.756098 | 126 | 0.760838 |
3a695ae89ca40a6004f7716018ec39b583cbbbfd | 1,587 | py | Python | tests/sms/models/test_reschedule_sms_messages.py | infobip-community/infobip-api-python-sdk | 5ffc5ab877ee1748aa29391f991c8c5324387487 | [
"MIT"
] | null | null | null | tests/sms/models/test_reschedule_sms_messages.py | infobip-community/infobip-api-python-sdk | 5ffc5ab877ee1748aa29391f991c8c5324387487 | [
"MIT"
] | null | null | null | tests/sms/models/test_reschedule_sms_messages.py | infobip-community/infobip-api-python-sdk | 5ffc5ab877ee1748aa29391f991c8c5324387487 | [
"MIT"
] | null | null | null | from datetime import date, datetime, timedelta
import pytest
from pydantic.error_wrappers import ValidationError
from infobip_channels.sms.models.body.reschedule_sms_messages import (
RescheduleSMSMessagesMessageBody,
)
from infobip_channels.sms.models.query_parameters.reschedule_messages import (
RescheduleS... | 27.842105 | 83 | 0.672968 |
3a69ee7bd76a61928b4ca3a0383eeeac9e541646 | 8,349 | py | Python | python/mxnet/device.py | t-triobox/incubator-mxnet | 93aa9e33fcb2f216179c691ed9461bc96e37ae70 | [
"Apache-2.0"
] | 1 | 2021-11-09T01:40:17.000Z | 2021-11-09T01:40:17.000Z | python/mxnet/device.py | t-triobox/incubator-mxnet | 93aa9e33fcb2f216179c691ed9461bc96e37ae70 | [
"Apache-2.0"
] | null | null | null | python/mxnet/device.py | t-triobox/incubator-mxnet | 93aa9e33fcb2f216179c691ed9461bc96e37ae70 | [
"Apache-2.0"
] | 1 | 2018-07-19T00:43:30.000Z | 2018-07-19T00:43:30.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 28.016779 | 108 | 0.618517 |
3a6a4945d24f523a66e8dd1cc3a18e4d3749558b | 5,578 | py | Python | _pkg_KuFunc/mod_SetLabel.py | tianlunjiang/_NukeStudio_v2 | 5ed9b9217aff16d903bdcda5c2f1e1cd3bebe367 | [
"CNRI-Python"
] | 6 | 2019-08-27T01:30:15.000Z | 2020-11-17T00:40:01.000Z | _pkg_KuFunc/mod_SetLabel.py | tianlunjiang/_NukeMods | 47861bfc273262abba55b9f9a61782a5d89479b1 | [
"CNRI-Python"
] | 2 | 2019-01-22T04:09:28.000Z | 2019-01-23T15:11:39.000Z | _pkg_KuFunc/mod_SetLabel.py | tianlunjiang/_NukeMods | 47861bfc273262abba55b9f9a61782a5d89479b1 | [
"CNRI-Python"
] | 1 | 2020-08-03T22:43:23.000Z | 2020-08-03T22:43:23.000Z |
# ------------------------------------------------------------------------------
# Module Import
# ------------------------------------------------------------------------------
import nuke, nukescripts
import platform
from Qt import QtWidgets, QtGui, QtCore
#------------------------------------------------... | 25.126126 | 103 | 0.573682 |
3a6bbdcced64c871e2fdd5b7e14da08f29defe31 | 897 | py | Python | account/migrations/0003_auto_20161110_2135.py | fitahol/fitahol | ce84dc909aa98f2dc7594ef26568e015cbfe0e94 | [
"MIT"
] | 2 | 2017-02-20T14:11:30.000Z | 2017-06-11T16:10:33.000Z | account/migrations/0003_auto_20161110_2135.py | fitahol/fitahol | ce84dc909aa98f2dc7594ef26568e015cbfe0e94 | [
"MIT"
] | null | null | null | account/migrations/0003_auto_20161110_2135.py | fitahol/fitahol | ce84dc909aa98f2dc7594ef26568e015cbfe0e94 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-11-10 21:35
from __future__ import unicode_literals
from django.db import migrations, models
| 27.181818 | 102 | 0.585284 |
3a6c6afbecc178b754f00e36139090ce170c777c | 780 | py | Python | imgur_stuff.py | djs2022/DataEntrySite | aac8e71fe0a8b159113b1488cbe7a8a7e641bf1d | [
"MIT"
] | null | null | null | imgur_stuff.py | djs2022/DataEntrySite | aac8e71fe0a8b159113b1488cbe7a8a7e641bf1d | [
"MIT"
] | null | null | null | imgur_stuff.py | djs2022/DataEntrySite | aac8e71fe0a8b159113b1488cbe7a8a7e641bf1d | [
"MIT"
] | null | null | null | import requests
import os
| 27.857143 | 77 | 0.574359 |
3a6d77c44f6c1309b10cae742c418b58169828c7 | 4,489 | py | Python | roles/tox/library/tox_parse_output.py | g-chauvel/zuul-jobs | 7ea241a626f2f2e05d4aeb8cf0328d22736b1f0f | [
"Apache-2.0"
] | null | null | null | roles/tox/library/tox_parse_output.py | g-chauvel/zuul-jobs | 7ea241a626f2f2e05d4aeb8cf0328d22736b1f0f | [
"Apache-2.0"
] | null | null | null | roles/tox/library/tox_parse_output.py | g-chauvel/zuul-jobs | 7ea241a626f2f2e05d4aeb8cf0328d22736b1f0f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2018 Red Hat
#
# This module is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This software is di... | 28.775641 | 74 | 0.642237 |
3a6f8d05144479257560ebcab7dfac73539e7dff | 4,199 | py | Python | rpyc/utils/authenticators.py | fruch/rpyc | 8db3fdcef2272d468aca562465279370d075be72 | [
"MIT"
] | null | null | null | rpyc/utils/authenticators.py | fruch/rpyc | 8db3fdcef2272d468aca562465279370d075be72 | [
"MIT"
] | null | null | null | rpyc/utils/authenticators.py | fruch/rpyc | 8db3fdcef2272d468aca562465279370d075be72 | [
"MIT"
] | null | null | null | """
authenticators: the server instance accepts an authenticator object,
which is basically any callable (i.e., a function) that takes the newly
connected socket and "authenticates" it.
the authenticator should return a socket-like object with its associated
credentials (a tuple), or raise AuthenticationError if it ... | 32.550388 | 92 | 0.639676 |
3a71c85b49b297a21ae96cfc5a938c33c9b45b83 | 1,156 | py | Python | kratos/apps/configuration/migrations/0001_initial.py | cipher-ops/backend-kts | 7ea54d7f56bcb0da54b901ac8f3cfbfbb0b12319 | [
"MIT"
] | 1 | 2020-11-30T09:53:40.000Z | 2020-11-30T09:53:40.000Z | kratos/apps/configuration/migrations/0001_initial.py | cipher-ops/backend-kts | 7ea54d7f56bcb0da54b901ac8f3cfbfbb0b12319 | [
"MIT"
] | null | null | null | kratos/apps/configuration/migrations/0001_initial.py | cipher-ops/backend-kts | 7ea54d7f56bcb0da54b901ac8f3cfbfbb0b12319 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-09-21 06:44
from django.db import migrations, models
import django.db.models.deletion
| 35.030303 | 132 | 0.583045 |
3a734bc1e70aa19debbc9af66f403f4c7634a66a | 2,823 | py | Python | events/migrations/0002_auto_20180325_0035.py | eforsell/eurovisiontippning | 1a26dac0e06c5eef9a752ea6f68ad9b9567b6261 | [
"MIT"
] | null | null | null | events/migrations/0002_auto_20180325_0035.py | eforsell/eurovisiontippning | 1a26dac0e06c5eef9a752ea6f68ad9b9567b6261 | [
"MIT"
] | null | null | null | events/migrations/0002_auto_20180325_0035.py | eforsell/eurovisiontippning | 1a26dac0e06c5eef9a752ea6f68ad9b9567b6261 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.3 on 2018-03-24 23:35
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
| 34.426829 | 139 | 0.557563 |
3a737b4d0699668e68dfd11d0393dc995f8e0e88 | 574 | py | Python | python-code/transformer-sample/basic/sentiment_analysis.py | 87-midnight/NewbieInJava | ba84153c6b3a382e620c4df7892d653be2e1a607 | [
"MIT"
] | null | null | null | python-code/transformer-sample/basic/sentiment_analysis.py | 87-midnight/NewbieInJava | ba84153c6b3a382e620c4df7892d653be2e1a607 | [
"MIT"
] | 2 | 2019-10-22T08:21:09.000Z | 2019-10-22T08:21:09.000Z | python-code/transformer-sample/basic/sentiment_analysis.py | 87-midnight/NewbieInJava | ba84153c6b3a382e620c4df7892d653be2e1a607 | [
"MIT"
] | null | null | null | #
import torch
from transformers import BertTokenizer, BertForSequenceClassification
torch.manual_seed(0)
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
model = BertForSequenceClassification.from_pretrained("bert-base-uncased", problem_type="multi_label_classification", num_labels=2)
inputs = tokeniz... | 41 | 131 | 0.801394 |
3a750f402f6cc67161071bf3b54785b45c55a45d | 1,293 | py | Python | examples/tutorial/parallel_amuse_script.py | rknop/amuse | 85d5bdcc29cfc87dc69d91c264101fafd6658aec | [
"Apache-2.0"
] | 131 | 2015-06-04T09:06:57.000Z | 2022-02-01T12:11:29.000Z | examples/tutorial/parallel_amuse_script.py | rknop/amuse | 85d5bdcc29cfc87dc69d91c264101fafd6658aec | [
"Apache-2.0"
] | 690 | 2015-10-17T12:18:08.000Z | 2022-03-31T16:15:58.000Z | examples/tutorial/parallel_amuse_script.py | rieder/amuse | 3ac3b6b8f922643657279ddee5c8ab3fc0440d5e | [
"Apache-2.0"
] | 102 | 2015-01-22T10:00:29.000Z | 2022-02-09T13:29:43.000Z | import time
import numpy
from amuse.lab import Huayno
from amuse.lab import Hermite
from amuse.lab import nbody_system
from amuse.lab import new_king_model
from matplotlib import pyplot
if __name__ in ('__main__'):
N = 1024
W0 = 7.0
t_end = 0.1 | nbody_system.time
bodies = new_king_model(N, W0)
... | 25.352941 | 71 | 0.664346 |
3a75e62e27fdd3a634c7ec673852b4fb62407232 | 311 | py | Python | modules/random_cat.py | ChaseBosman/chatbot | a39e655e6d586fa596471cd20617dff5f9795a96 | [
"Unlicense"
] | 3 | 2019-10-19T12:07:06.000Z | 2020-10-05T17:24:56.000Z | modules/random_cat.py | ChaseBosman/chatbot | a39e655e6d586fa596471cd20617dff5f9795a96 | [
"Unlicense"
] | 17 | 2019-10-05T12:30:17.000Z | 2021-07-25T20:06:33.000Z | modules/random_cat.py | ChaseBosman/chatbot | a39e655e6d586fa596471cd20617dff5f9795a96 | [
"Unlicense"
] | 26 | 2018-10-19T05:43:12.000Z | 2020-10-02T05:27:48.000Z | import requests
import json
| 25.916667 | 74 | 0.614148 |
3a788b9c9eab36584491247515f283acec64a519 | 407 | py | Python | Pycharm_Project/0414/2.py | duanjiefei/Python-Study | 88e17a3eab9112a2515f09b2bcf4e032059cc28b | [
"Apache-2.0"
] | null | null | null | Pycharm_Project/0414/2.py | duanjiefei/Python-Study | 88e17a3eab9112a2515f09b2bcf4e032059cc28b | [
"Apache-2.0"
] | null | null | null | Pycharm_Project/0414/2.py | duanjiefei/Python-Study | 88e17a3eab9112a2515f09b2bcf4e032059cc28b | [
"Apache-2.0"
] | null | null | null | #
import time
# test = timer(test)
# test()
test()
#@timer == test=timer(test) | 20.35 | 67 | 0.619165 |
3a794a8245df8781f9b1fc1f4f5373e8c9e7411d | 3,255 | py | Python | docs/source/conf.py | DanielWarfield1/nClusterFramework | 21b68226ab1ffa810281a261feabe1d360a5146d | [
"MIT"
] | null | null | null | docs/source/conf.py | DanielWarfield1/nClusterFramework | 21b68226ab1ffa810281a261feabe1d360a5146d | [
"MIT"
] | 2 | 2021-12-15T05:36:01.000Z | 2021-12-20T01:15:45.000Z | docs/source/conf.py | DanielWarfield1/nClusterFramework | 21b68226ab1ffa810281a261feabe1d360a5146d | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 44.589041 | 97 | 0.710906 |
3a79851a367aea689a1293265d02727ae30bb330 | 7,877 | py | Python | cvstudio/view/widgets/common/treeview_model.py | haruiz/PytorchCvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 32 | 2019-10-31T03:10:52.000Z | 2020-12-23T11:50:53.000Z | cvstudio/view/widgets/common/treeview_model.py | haruiz/CvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 19 | 2019-10-31T15:06:05.000Z | 2020-06-15T02:21:55.000Z | cvstudio/view/widgets/common/treeview_model.py | haruiz/PytorchCvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 8 | 2019-10-31T03:32:50.000Z | 2020-07-17T20:47:37.000Z | import itertools
import typing
from typing import Any
from PyQt5 import QtCore
from PyQt5.QtCore import QModelIndex, pyqtSignal, QObject
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QAbstractItemDelegate, QWidget, QStyleOptionViewItem, QSpinBox
class CustomModelSignals(QObject):
data_changed = pyq... | 30.296154 | 116 | 0.612416 |
3a7af5581758219d8326f2091b7b6047cf305d66 | 1,761 | py | Python | pyrallel/tests/test_map_reduce.py | usc-isi-i2/paralyzer | 2991e9e74f17e35d8c7d9f86d57c5c7f7a311915 | [
"MIT"
] | 13 | 2019-07-02T22:41:46.000Z | 2022-02-20T13:30:00.000Z | pyrallel/tests/test_map_reduce.py | usc-isi-i2/paralyzer | 2991e9e74f17e35d8c7d9f86d57c5c7f7a311915 | [
"MIT"
] | 14 | 2019-07-03T18:04:25.000Z | 2021-05-20T20:45:33.000Z | pyrallel/tests/test_map_reduce.py | usc-isi-i2/paralyzer | 2991e9e74f17e35d8c7d9f86d57c5c7f7a311915 | [
"MIT"
] | 3 | 2020-02-12T21:54:17.000Z | 2020-08-24T20:41:18.000Z | import multiprocessing as mp
from pyrallel.map_reduce import MapReduce
NUM_OF_PROCESSOR = max(2, int(mp.cpu_count() / 2))
| 21.216867 | 53 | 0.540034 |
3a7bafa3c7ab3354d60a1fcd0376c7ade47cb21d | 707 | py | Python | evtx_to_dataframe.py | esua/evtx_to_dataframe | 390bf470e92092e66827373ed7e8b012a4fe94f6 | [
"Apache-2.0"
] | null | null | null | evtx_to_dataframe.py | esua/evtx_to_dataframe | 390bf470e92092e66827373ed7e8b012a4fe94f6 | [
"Apache-2.0"
] | null | null | null | evtx_to_dataframe.py | esua/evtx_to_dataframe | 390bf470e92092e66827373ed7e8b012a4fe94f6 | [
"Apache-2.0"
] | null | null | null | import argparse
import Evtx.Evtx as evtx
import pandas as pd
import xmltodict
import re
parser = argparse.ArgumentParser(description="Convert Windows EVTX event log file to DataFrame.")
parser.add_argument("evtx", type=str, help="Path to the Windows EVTX event log file")
args = parser.parse_args()
with evtx.Evtx(args... | 33.666667 | 110 | 0.693069 |
3a7bc36048999e619539f1b4ea6519f544722e26 | 562 | py | Python | test/sandwich.py | DynamicCai/Dynamic-Explorer | c909206b3db52f76f23499b1cb43520d3475b14e | [
"MIT"
] | null | null | null | test/sandwich.py | DynamicCai/Dynamic-Explorer | c909206b3db52f76f23499b1cb43520d3475b14e | [
"MIT"
] | null | null | null | test/sandwich.py | DynamicCai/Dynamic-Explorer | c909206b3db52f76f23499b1cb43520d3475b14e | [
"MIT"
] | null | null | null |
sandwich_meat={
1:{'chicken':3},
2:{'beef':5},
3:{'pork':4},
4:{'bacon':4},
5:{'sausage':4},
6:{'omelette':2},
7:{'none':0}
}
sandwich_sauce=['mayonnaise','ketchup','yellowmustard','blackpeppersauce','cheese','none']
sandwich_vegetable=['lettuce','slicedtomatoes','slicedpickles','potat... | 18.733333 | 101 | 0.565836 |
3a7c85d6a1879df3d91cd853104103d5c1ce8afa | 1,553 | py | Python | paprotka/feature/cepstral.py | michalsosn/paprotka | d6079eefbade2cb8be5896777a7d50ac968d42ec | [
"MIT"
] | 1 | 2019-10-29T04:14:40.000Z | 2019-10-29T04:14:40.000Z | paprotka/feature/cepstral.py | michalsosn/paprotka | d6079eefbade2cb8be5896777a7d50ac968d42ec | [
"MIT"
] | null | null | null | paprotka/feature/cepstral.py | michalsosn/paprotka | d6079eefbade2cb8be5896777a7d50ac968d42ec | [
"MIT"
] | null | null | null | import math
import numpy as np
from scipy import signal, fftpack
| 33.042553 | 90 | 0.675467 |
3a7d8a539d82fbecac85da845cd748fe400b1a12 | 2,688 | py | Python | arelle/plugin/unpackSecEisFile.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 292 | 2015-01-27T03:31:51.000Z | 2022-03-26T07:00:05.000Z | arelle/plugin/unpackSecEisFile.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 94 | 2015-04-18T23:03:00.000Z | 2022-03-28T17:24:55.000Z | arelle/plugin/unpackSecEisFile.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 200 | 2015-01-13T03:55:47.000Z | 2022-03-29T12:38:56.000Z | '''
Unpack SEC EIS File is an example of a plug-in to the GUI menu
that will save the unpacked contents of an SEC EIS File in a directory.
(c) Copyright 2012 Mark V Systems Limited, All rights reserved.
'''
__pluginInfo__ = {
'name': 'Unpack SEC EIS File',
'version': '0.9',
'description': "This plug-in u... | 43.354839 | 134 | 0.604911 |
3a7e02c43c6ebf2859a5eb96f826707b1b0a7b33 | 2,251 | py | Python | fpcalc.py | johnlawsharrison/pyacoustid | 55321b316f09e782a1c0914826419be799908e01 | [
"MIT"
] | 203 | 2016-01-18T14:05:49.000Z | 2022-03-25T04:04:42.000Z | fpcalc.py | johnlawsharrison/pyacoustid | 55321b316f09e782a1c0914826419be799908e01 | [
"MIT"
] | 41 | 2016-03-08T10:28:14.000Z | 2021-11-26T20:53:15.000Z | fpcalc.py | johnlawsharrison/pyacoustid | 55321b316f09e782a1c0914826419be799908e01 | [
"MIT"
] | 56 | 2016-01-09T04:22:40.000Z | 2022-01-29T16:01:39.000Z | #!/usr/bin/env python
# This file is part of pyacoustid.
# Copyright 2012, Lukas Lalinsky.
#
# 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 limitati... | 34.106061 | 77 | 0.660595 |
3a7e4975152b719956030d04fd87b6aff71f9b39 | 203 | py | Python | app/views/dashboard/leadership/__init__.py | Wern-rm/raton.by | 68f862f2bc0551bf2327e9d6352c0cde93f45301 | [
"MIT"
] | null | null | null | app/views/dashboard/leadership/__init__.py | Wern-rm/raton.by | 68f862f2bc0551bf2327e9d6352c0cde93f45301 | [
"MIT"
] | null | null | null | app/views/dashboard/leadership/__init__.py | Wern-rm/raton.by | 68f862f2bc0551bf2327e9d6352c0cde93f45301 | [
"MIT"
] | null | null | null | from app.views.dashboard.leadership.index import leaderships
from app.views.dashboard.leadership.delete import leadership_delete
from app.views.dashboard.leadership.activation import leadership_activated | 67.666667 | 74 | 0.8867 |
3a7ec9858eb7869bba6e4129ded3a123b302b0e2 | 3,071 | py | Python | Learning/button groups.py | atharva0300/PyQt5-Practice | 0feacca6518190646a345ce2ea75e071e7861ac5 | [
"MIT"
] | null | null | null | Learning/button groups.py | atharva0300/PyQt5-Practice | 0feacca6518190646a345ce2ea75e071e7861ac5 | [
"MIT"
] | null | null | null | Learning/button groups.py | atharva0300/PyQt5-Practice | 0feacca6518190646a345ce2ea75e071e7861ac5 | [
"MIT"
] | 1 | 2021-11-16T10:18:07.000Z | 2021-11-16T10:18:07.000Z | # Button Groups in Python
import PyQt5
from PyQt5.QtWidgets import QApplication, QHBoxLayout, QLabel, QButtonGroup, QMainWindow, QDialog, QPushButton, QVBoxLayout
import sys
from PyQt5 import QtGui
from PyQt5.QtGui import QFont, QPixmap
from PyQt5.QtCore import QSize
if __name__ == "__main__":
App =... | 28.700935 | 124 | 0.581895 |
3a7f65074a8ce42ce2f4be7f8b8b5034567b834f | 20,126 | py | Python | ct-tests/lib/crus_integration_test.py | Cray-HPE/cray-crus | 6643aa3eb3debe5cbe0088f6a30b7e56ca1b1f17 | [
"MIT"
] | null | null | null | ct-tests/lib/crus_integration_test.py | Cray-HPE/cray-crus | 6643aa3eb3debe5cbe0088f6a30b7e56ca1b1f17 | [
"MIT"
] | 1 | 2022-03-02T21:06:21.000Z | 2022-03-04T17:32:14.000Z | ct-tests/lib/crus_integration_test.py | Cray-HPE/cray-crus | 6643aa3eb3debe5cbe0088f6a30b7e56ca1b1f17 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# MIT License
#
# (C) Copyright 2020-2022 Hewlett Packard Enterprise Development LP
#
# 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 w... | 45.226966 | 138 | 0.673507 |
3a80351f1ae9d22c12f2dfa0609670916e8b44d0 | 3,071 | py | Python | backend/transaction/models.py | elielagmay/react-budgeteer | 49a25dbd6dd6ea5d8bc93421eefbc12808f585af | [
"Unlicense"
] | 2 | 2018-10-23T00:40:53.000Z | 2021-05-31T08:19:40.000Z | backend/transaction/models.py | elielagmay/react-budgeteer | 49a25dbd6dd6ea5d8bc93421eefbc12808f585af | [
"Unlicense"
] | null | null | null | backend/transaction/models.py | elielagmay/react-budgeteer | 49a25dbd6dd6ea5d8bc93421eefbc12808f585af | [
"Unlicense"
] | null | null | null | from decimal import Decimal
from django.core.exceptions import ValidationError
from django.db import models
from app.utils import get_balances
| 29.528846 | 75 | 0.626506 |
3a804a776b085e92ef90bbf2391ea52e871ea437 | 2,335 | py | Python | src/games/textquiz.py | aleksandrgordienko/melissa-quiz | 49b165acc9aae0ad84cf751cbeb4f6a27dd5ab0f | [
"MIT"
] | null | null | null | src/games/textquiz.py | aleksandrgordienko/melissa-quiz | 49b165acc9aae0ad84cf751cbeb4f6a27dd5ab0f | [
"MIT"
] | null | null | null | src/games/textquiz.py | aleksandrgordienko/melissa-quiz | 49b165acc9aae0ad84cf751cbeb4f6a27dd5ab0f | [
"MIT"
] | null | null | null | # python-telegram-quiz
# @author: Aleksandr Gordienko
# @site: https://github.com/aleksandrgordienko/melissa-quiz
from random import randint
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
| 33.357143 | 81 | 0.621842 |
3a818c77d8d52a71bd103be2681594c2e4e919a8 | 1,246 | py | Python | Automate the Boring Stuff with Python/readDocx.py | m-barnes/Python | 0940d5f9b832c28703a32691db287b1361ce6ecc | [
"MIT"
] | null | null | null | Automate the Boring Stuff with Python/readDocx.py | m-barnes/Python | 0940d5f9b832c28703a32691db287b1361ce6ecc | [
"MIT"
] | null | null | null | Automate the Boring Stuff with Python/readDocx.py | m-barnes/Python | 0940d5f9b832c28703a32691db287b1361ce6ecc | [
"MIT"
] | null | null | null | import docx
import time
import os
from os import system
from pprint import pprint
finished = False
while finished == False:
parseFile()
| 20.766667 | 139 | 0.652488 |
3a84202d32e5e1c571adc31fc572e8596c4a5a08 | 87 | py | Python | rura/pipeline/__init__.py | fdabek1/rura | 6779733149d7e4181be54ecb72fbd4de6d71c678 | [
"MIT"
] | null | null | null | rura/pipeline/__init__.py | fdabek1/rura | 6779733149d7e4181be54ecb72fbd4de6d71c678 | [
"MIT"
] | null | null | null | rura/pipeline/__init__.py | fdabek1/rura | 6779733149d7e4181be54ecb72fbd4de6d71c678 | [
"MIT"
] | null | null | null | from .dataset import Dataset
from .model import Model
from .transform import Transform
| 21.75 | 32 | 0.827586 |
3a8504e3359b503e6fccca39bd8d8317686a767b | 5,707 | py | Python | originalCode_JMG/data/dataimportallIN.py | dataforgoodfr/batch9_validalab | f333bea8203fd1e4ed098b6e2d51a7f7b05ae530 | [
"MIT"
] | null | null | null | originalCode_JMG/data/dataimportallIN.py | dataforgoodfr/batch9_validalab | f333bea8203fd1e4ed098b6e2d51a7f7b05ae530 | [
"MIT"
] | null | null | null | originalCode_JMG/data/dataimportallIN.py | dataforgoodfr/batch9_validalab | f333bea8203fd1e4ed098b6e2d51a7f7b05ae530 | [
"MIT"
] | 1 | 2021-04-19T21:27:58.000Z | 2021-04-19T21:27:58.000Z | import networkx as nx
from py2neo import Graph, Node, Relationship
import pandas as pd
import random
graph = Graph("bolt://localhost:7687", auth=("neo4j", "Password"))
def importGexf(gexffilepath, depth = 0):
'''
Reads gexf network file from hyphe, update or create all nodes and relationships in neo4j data... | 38.823129 | 126 | 0.58805 |
3a851eb1905fe0976754043eca815207cc550202 | 4,023 | py | Python | code_base/excess_mortality/decode_args.py | Mlad-en/COV-BG | dabc6875e49b1fdb113ed691fbf70d5bdcb1846c | [
"MIT"
] | null | null | null | code_base/excess_mortality/decode_args.py | Mlad-en/COV-BG | dabc6875e49b1fdb113ed691fbf70d5bdcb1846c | [
"MIT"
] | null | null | null | code_base/excess_mortality/decode_args.py | Mlad-en/COV-BG | dabc6875e49b1fdb113ed691fbf70d5bdcb1846c | [
"MIT"
] | null | null | null | from code_base.excess_mortality.decode_loc_vars import *
DECODE_DEMO_COL = {
'excess_mortality_by_sex_age_country': 'age,sex,unit,geo\\time',
'excess_mortality_by_sex_age_nuts3': 'unit,sex,age,geo\\time',
'europe_population_by_age_and_sex': 'freq;unit;sex;age;geo\TIME_PERIOD'
}
DECODE_DEMO_REPL = {
'e... | 27 | 87 | 0.505096 |
3a862072dc82d94cea5c675c09cf65fbf2cd377c | 4,510 | py | Python | concord/ext/audio/middleware.py | nariman/concord-ext-audio | c7662507f641bfdba277509838433dbb24fe11a3 | [
"MIT"
] | null | null | null | concord/ext/audio/middleware.py | nariman/concord-ext-audio | c7662507f641bfdba277509838433dbb24fe11a3 | [
"MIT"
] | 14 | 2019-02-19T03:14:07.000Z | 2021-06-25T15:15:55.000Z | concord/ext/audio/middleware.py | narimanized/concord-ext-audio | c7662507f641bfdba277509838433dbb24fe11a3 | [
"MIT"
] | null | null | null | """
The MIT License (MIT)
Copyright (c) 2017-2018 Nariman Safiulin
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, modif... | 34.166667 | 80 | 0.645455 |
3a862c1dfb4c8e4aff3392df9183017ab88ec2ab | 775 | py | Python | umtk/image/utils.py | kyle0x54/umtk | 883090d84fce924e65184847e6b3048014616f5d | [
"Apache-2.0"
] | 1 | 2020-08-03T12:27:02.000Z | 2020-08-03T12:27:02.000Z | umtk/image/utils.py | kyle0x54/umtk | 883090d84fce924e65184847e6b3048014616f5d | [
"Apache-2.0"
] | null | null | null | umtk/image/utils.py | kyle0x54/umtk | 883090d84fce924e65184847e6b3048014616f5d | [
"Apache-2.0"
] | 1 | 2020-11-28T03:27:10.000Z | 2020-11-28T03:27:10.000Z | import os
from pathlib import Path
from typing import Any, Dict, Union
import numpy as np
def isdicom(path: Union[str, Path]) -> bool:
""" Judge whether a given file is a valid dicom.
Args:
path: given file path.
Returns:
True if given path is a valid dicom, otherwise False.
"""
... | 22.142857 | 61 | 0.618065 |
3a866ce737d90dd7710156bcd56f1d122772201c | 28,704 | py | Python | tf_rl/common/utils.py | Rowing0914/TF_RL | 68e5e9a23e38ed2d8ac5f97d380567b919a3d2e7 | [
"MIT"
] | 23 | 2019-04-04T17:34:56.000Z | 2021-12-14T19:34:10.000Z | tf_rl/common/utils.py | Rowing0914/TF_RL | 68e5e9a23e38ed2d8ac5f97d380567b919a3d2e7 | [
"MIT"
] | null | null | null | tf_rl/common/utils.py | Rowing0914/TF_RL | 68e5e9a23e38ed2d8ac5f97d380567b919a3d2e7 | [
"MIT"
] | 3 | 2019-07-17T23:56:36.000Z | 2022-03-13T03:55:21.000Z | import tensorflow as tf
import numpy as np
import os, datetime, itertools, shutil, gym, sys
from tf_rl.common.visualise import plot_Q_values
from tf_rl.common.wrappers import MyWrapper, CartPole_Pixel, wrap_deepmind, make_atari
"""
TF basic Utility functions
"""
def eager_setup():
"""
it eables an eager ex... | 35.745953 | 162 | 0.610089 |
3a8780a44ac5da348e337c07269fb06faa67e8cd | 2,284 | py | Python | common/serializers.py | kollad/turbo-ninja | 9c3f66b2af64aec01f522d19b309cfdd723e67cf | [
"MIT"
] | null | null | null | common/serializers.py | kollad/turbo-ninja | 9c3f66b2af64aec01f522d19b309cfdd723e67cf | [
"MIT"
] | 1 | 2017-12-14T05:35:38.000Z | 2017-12-14T05:35:38.000Z | common/serializers.py | kollad/turbo-ninja | 9c3f66b2af64aec01f522d19b309cfdd723e67cf | [
"MIT"
] | null | null | null | from collections import namedtuple, OrderedDict
import json
__author__ = 'kollad'
def isnamedtuple(obj):
"""Heuristic check if an object is a namedtuple."""
return isinstance(obj, tuple) \
and hasattr(obj, "_fields") \
and hasattr(obj, "_asdict") \
and callable(obj._asdict)
... | 34.606061 | 83 | 0.609019 |
3a8812b8a7ce8889a96abd8e38c4d8b8f1956ab6 | 1,079 | py | Python | setup.py | mjw99/Musketeer | 0299a7974ad90c09d8d9206fcf862e45f9fddf30 | [
"MIT"
] | null | null | null | setup.py | mjw99/Musketeer | 0299a7974ad90c09d8d9206fcf862e45f9fddf30 | [
"MIT"
] | null | null | null | setup.py | mjw99/Musketeer | 0299a7974ad90c09d8d9206fcf862e45f9fddf30 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md") as readmeFile:
long_description = readmeFile.read()
setuptools.setup(
name="musketeer",
version="0.0.1",
author="Daniil Soloviev",
author_email="dos23@cam.ac.uk",
description="A tool for fitting data from titration experiments.",
long_description=lo... | 29.162162 | 70 | 0.624652 |
3a886dc473f6df44d24e2498829541fd798461f5 | 1,358 | py | Python | webapp/tests.py | carolFrohlich/string_checker | 27a96ab9a315d47304b0eb6bdfd671be7a34b6f1 | [
"MIT"
] | null | null | null | webapp/tests.py | carolFrohlich/string_checker | 27a96ab9a315d47304b0eb6bdfd671be7a34b6f1 | [
"MIT"
] | null | null | null | webapp/tests.py | carolFrohlich/string_checker | 27a96ab9a315d47304b0eb6bdfd671be7a34b6f1 | [
"MIT"
] | null | null | null | from django.test import TestCase
# Create your tests here.
from webapp.forms import contains_all_letters
| 24.690909 | 55 | 0.734904 |
3a89f586494444a77daa3b34a1bc45b72a73f85e | 16,338 | py | Python | EvolutiveStrategies.py | ignacioct/GeneticAlgorithms | 6a92c3d5ec6f2796333576d93c3b6b421055b7a4 | [
"MIT"
] | 4 | 2020-11-26T16:18:23.000Z | 2021-06-28T08:43:35.000Z | EvolutiveStrategies.py | ignacioct/GeneticAlgorithms | 6a92c3d5ec6f2796333576d93c3b6b421055b7a4 | [
"MIT"
] | null | null | null | EvolutiveStrategies.py | ignacioct/GeneticAlgorithms | 6a92c3d5ec6f2796333576d93c3b6b421055b7a4 | [
"MIT"
] | null | null | null | import copy
import math
import operator
import random
import sys
from concurrent import futures
import numpy as np
import requests
def main():
# Code for strategy of 1 individual
# ee = EvolutiveStrategyOneIndividual(c=ce, is10=True)
# ee.trainingLoop(10000)
# Code for strategy with the best re... | 35.135484 | 144 | 0.580487 |
3a8ac6ed77639549d9368218a7f979d0a6bcc7b7 | 1,638 | py | Python | src/arago/hiro/client/exception.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | src/arago/hiro/client/exception.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | src/arago/hiro/client/exception.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | from typing import Mapping, Any, List
| 27.762712 | 96 | 0.525031 |
3a8c95437dc709e3b0251893e5436db0d7890d0f | 8,098 | py | Python | yoongram/users/views.py | happyjy/yoonGram | 20555619721065296d5dab88e80c763b4a3f295e | [
"MIT"
] | null | null | null | yoongram/users/views.py | happyjy/yoonGram | 20555619721065296d5dab88e80c763b4a3f295e | [
"MIT"
] | 9 | 2021-03-09T02:00:36.000Z | 2022-02-26T10:13:36.000Z | yoongram/users/views.py | happyjy/yoonGram | 20555619721065296d5dab88e80c763b4a3f295e | [
"MIT"
] | null | null | null | from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from . import models, serializers
from yoongram.notifications import views as notifications_views
# class Based Viwes
# function Based Views
# views: path("<slug:username>/following/", view=... | 39.120773 | 261 | 0.645098 |
3a8cac712e69f85d4085b70791e0d285fbcb5630 | 2,507 | py | Python | BabysFirstNeuralNetwork/ToyNN.py | dwpicott/BasicNeuralNetwork | ad4f5878098e5ad167ee2280f5b9b03af02dfa27 | [
"MIT"
] | null | null | null | BabysFirstNeuralNetwork/ToyNN.py | dwpicott/BasicNeuralNetwork | ad4f5878098e5ad167ee2280f5b9b03af02dfa27 | [
"MIT"
] | null | null | null | BabysFirstNeuralNetwork/ToyNN.py | dwpicott/BasicNeuralNetwork | ad4f5878098e5ad167ee2280f5b9b03af02dfa27 | [
"MIT"
] | null | null | null | '''
Basic Python tutorial neural network.
Based on "A Neural Network in 11 Lines of Python" by i am trask
https://iamtrask.github.io/2015/07/12/basic-python-network/
'''
import numpy as np
# Training data: a 1 in the first column directly correlates with a 1 in the output
# training features
features = np.array([ ... | 27.25 | 83 | 0.59274 |
3a8dcfa7190ecc79bdaa94535eba0d246aff05b9 | 1,122 | py | Python | gaphor/UML/deployments/tests/test_connector.py | MartinIIOT/gaphor | b08bf6ddb8c92ec87fccabc2ddee697609f73e67 | [
"Apache-2.0"
] | null | null | null | gaphor/UML/deployments/tests/test_connector.py | MartinIIOT/gaphor | b08bf6ddb8c92ec87fccabc2ddee697609f73e67 | [
"Apache-2.0"
] | null | null | null | gaphor/UML/deployments/tests/test_connector.py | MartinIIOT/gaphor | b08bf6ddb8c92ec87fccabc2ddee697609f73e67 | [
"Apache-2.0"
] | null | null | null | import pytest
from gaphor import UML
from gaphor.core.modeling import Diagram
from gaphor.core.modeling.modelinglanguage import (
CoreModelingLanguage,
MockModelingLanguage,
)
from gaphor.SysML.modelinglanguage import SysMLModelingLanguage
from gaphor.UML.deployments.connector import ConnectorItem
from gaphor.... | 27.365854 | 78 | 0.762923 |
3a8e21c35da0565b1474e19643e2481a81691a35 | 14,317 | py | Python | utils/lists.py | luciano1337/legion-bot | 022d1ef9eb77a26b57929f800dd55770206f8852 | [
"MIT"
] | null | null | null | utils/lists.py | luciano1337/legion-bot | 022d1ef9eb77a26b57929f800dd55770206f8852 | [
"MIT"
] | null | null | null | utils/lists.py | luciano1337/legion-bot | 022d1ef9eb77a26b57929f800dd55770206f8852 | [
"MIT"
] | null | null | null | pozehug = [
'https://media1.tenor.com/images/4d89d7f963b41a416ec8a55230dab31b/tenor.gif?itemid=5166500',
'https://media1.tenor.com/images/c7efda563983124a76d319813155bd8e/tenor.gif?itemid=15900664',
'https://media1.tenor.com/images/daffa3b7992a08767168614178cce7d6/tenor.gif?itemid=15249774',
'https://media1.... | 91.775641 | 1,661 | 0.777607 |
3a8f0982e03b38e05aa03eb45840308eeb8e3dc5 | 3,730 | py | Python | py_ti/helper_loops.py | tlpcap/tlp_ti | 8d72b316b332fd5e20785dbf19401883958c0666 | [
"MIT"
] | 7 | 2021-01-31T19:23:07.000Z | 2022-03-10T21:22:41.000Z | py_ti/helper_loops.py | tlpcap/tlp_ti | 8d72b316b332fd5e20785dbf19401883958c0666 | [
"MIT"
] | null | null | null | py_ti/helper_loops.py | tlpcap/tlp_ti | 8d72b316b332fd5e20785dbf19401883958c0666 | [
"MIT"
] | null | null | null | import numpy as np
from numba import jit
| 24.866667 | 77 | 0.507507 |
3a8feafe3391c0ddd2f78fb39a9371d4374c0a73 | 1,441 | py | Python | netlog_viewer/netlog_viewer_build/netlog_viewer_dev_server_config.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | netlog_viewer/netlog_viewer_build/netlog_viewer_dev_server_config.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | netlog_viewer/netlog_viewer_build/netlog_viewer_dev_server_config.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | # Copyright (c) 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import json
import os
import netlog_viewer_project
import webapp2
from webapp2 import Route
| 26.2 | 72 | 0.727967 |
3a9084ba87c0f5c49b0d1b1f5827e460b297b88e | 3,991 | py | Python | src/app.py | eug/cron-rest | 2d0a2e0d0cf0cb464b71293802b85ac7076f9944 | [
"MIT"
] | 3 | 2021-05-10T13:42:59.000Z | 2022-03-28T02:07:23.000Z | src/app.py | eug/cron-rest | 2d0a2e0d0cf0cb464b71293802b85ac7076f9944 | [
"MIT"
] | null | null | null | src/app.py | eug/cron-rest | 2d0a2e0d0cf0cb464b71293802b85ac7076f9944 | [
"MIT"
] | 4 | 2018-05-12T13:43:00.000Z | 2021-10-30T01:23:00.000Z | # -*- coding: utf-8 -*-
import json
import os
from crontab import CronTab
from flask import Flask, request
from pathlib import Path
from pretty_cron import prettify_cron
app = Flask(__name__)
if __name__ == '__main__':
app.run()
| 26.256579 | 76 | 0.540466 |
3a90d1f158c36003df58478dbdda2afff682b6b2 | 1,196 | py | Python | 2017/examples/05_randomization.py | limunan/stanford-tensorflow-tutorials | 51e53daaa2a32cfe7a1966f060b28dbbd081791c | [
"MIT"
] | 9,180 | 2017-07-27T23:43:41.000Z | 2022-03-29T17:10:14.000Z | 2017/examples/05_randomization.py | Nianze/stanford-tensorflow-tutorials | 51e53daaa2a32cfe7a1966f060b28dbbd081791c | [
"MIT"
] | 86 | 2017-08-04T12:38:38.000Z | 2020-12-09T03:34:02.000Z | 2017/examples/05_randomization.py | joshosu/stanford-tensorflow-tutorials | b16899102bf07964a15494452a2e91c1b9f88e46 | [
"MIT"
] | 4,115 | 2017-07-28T06:53:12.000Z | 2022-03-23T12:36:55.000Z | """ Examples to demonstrate ops level randomization
Author: Chip Huyen
Prepared for the class CS 20SI: "TensorFlow for Deep Learning Research"
cs20si.stanford.edu
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
# Example 1: session is the thing that keeps track of random state
c = tf.rand... | 27.813953 | 74 | 0.664716 |
3a91c8f71ed1bbfb503d86a5235097fd88dfae4a | 5,651 | py | Python | python-CSDN博客爬虫/CSDN_article/utils/myutils.py | wangchuanli001/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 12 | 2019-12-07T01:44:55.000Z | 2022-01-27T14:13:30.000Z | python-CSDN博客爬虫/CSDN_article/utils/myutils.py | hujiese/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 23 | 2020-05-23T03:56:33.000Z | 2022-02-28T07:54:45.000Z | python-CSDN博客爬虫/CSDN_article/utils/myutils.py | hujiese/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 7 | 2019-12-20T04:48:56.000Z | 2021-11-19T02:23:45.000Z | # -*- coding: utf-8 -*-
'''
'''
import time
import MySQLdb
import jieba
import ast
import random, sys
#
import requests
sys.setrecursionlimit(1000000)
#
def getproxyip(ip_file):
fo = open(ip_file, 'r', encoding='utf-8')
proxys = fo.read().split('\n')
proxy = ast.literal_eval(random.choice(proxys))
... | 33.838323 | 121 | 0.599186 |
3a92948a079a2d3f3db1feb98db4697c887b4594 | 140 | py | Python | Contest/DDCC2020-qual/b/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | Contest/DDCC2020-qual/b/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | Contest/DDCC2020-qual/b/main.py | mpses/AtCoder | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
from numpy import*
n, *a = map(int, open(0).read().split())
a = array(a)
print(int(min(abs(cumsum(a)-(sum(a)/2)))*2)) | 28 | 44 | 0.621429 |
3a948fad21b8a67c7efb20bb30784138fb309c60 | 11,836 | py | Python | oanda-api-v20-master/tests/test_contrib_orders.py | cdibble2011/OANDA | 68327d6d65dd92952d7a1dc49fe29efca766d900 | [
"MIT"
] | 389 | 2016-07-22T17:19:17.000Z | 2022-03-18T21:14:55.000Z | oanda-api-v20-master/tests/test_contrib_orders.py | cdibble2011/OANDA | 68327d6d65dd92952d7a1dc49fe29efca766d900 | [
"MIT"
] | 162 | 2016-10-04T18:17:48.000Z | 2021-12-22T10:53:54.000Z | oanda-api-v20-master/tests/test_contrib_orders.py | cdibble2011/OANDA | 68327d6d65dd92952d7a1dc49fe29efca766d900 | [
"MIT"
] | 120 | 2016-08-08T18:52:41.000Z | 2022-03-24T06:53:38.000Z | import unittest
try:
from nose_parameterized import parameterized
except:
print("*** Please install 'nose_parameterized' to run these tests ***")
exit(0)
import oandapyV20.contrib.requests as req
import oandapyV20.definitions.orders as OD
import oandapyV20.types as types
if __name__ == "__main__":
... | 30.193878 | 75 | 0.468233 |
3a951812ae9cbf0b5d1410cb7713acbb37c91294 | 371 | py | Python | ci_screen/automators/job_item.py | garyjohnson/ci_screen_2 | ea6a0ebd686148bb8977bd2d842e33e71fc2c3f0 | [
"MIT"
] | null | null | null | ci_screen/automators/job_item.py | garyjohnson/ci_screen_2 | ea6a0ebd686148bb8977bd2d842e33e71fc2c3f0 | [
"MIT"
] | null | null | null | ci_screen/automators/job_item.py | garyjohnson/ci_screen_2 | ea6a0ebd686148bb8977bd2d842e33e71fc2c3f0 | [
"MIT"
] | 1 | 2018-08-10T15:04:24.000Z | 2018-08-10T15:04:24.000Z | from kvaut.automator.custom_automator import CustomAutomator
| 30.916667 | 97 | 0.727763 |
3a95ae559435a30a68aba572eee4bea130369136 | 12,225 | py | Python | models/context.py | Hilbert70403/Infrared-Small-Target | 0b7bddc13ed3b2362735ea858af6e7d18d4374cd | [
"MIT"
] | 21 | 2021-11-08T08:06:36.000Z | 2022-03-26T14:22:35.000Z | models/context.py | Hilbert70403/Infrared-Small-Target | 0b7bddc13ed3b2362735ea858af6e7d18d4374cd | [
"MIT"
] | 4 | 2022-01-19T11:37:13.000Z | 2022-02-28T07:45:19.000Z | models/context.py | Hilbert70403/Infrared-Small-Target | 0b7bddc13ed3b2362735ea858af6e7d18d4374cd | [
"MIT"
] | 9 | 2021-11-15T09:24:41.000Z | 2022-03-24T08:11:00.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = ['NonLocalBlock', 'GCA_Channel', 'GCA_Element', 'AGCB_Element', 'AGCB_Patch', 'CPM']
| 35.641399 | 109 | 0.558937 |
3a96f177bdadd6a1d79e415e623de1950e19535a | 17,315 | py | Python | build/fbcode_builder/getdeps/cargo.py | dmitryvinn/watchman | 668d3536031acd9b65950c29d6e956bb42b972bb | [
"MIT"
] | null | null | null | build/fbcode_builder/getdeps/cargo.py | dmitryvinn/watchman | 668d3536031acd9b65950c29d6e956bb42b972bb | [
"MIT"
] | null | null | null | build/fbcode_builder/getdeps/cargo.py | dmitryvinn/watchman | 668d3536031acd9b65950c29d6e956bb42b972bb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import re
import shutil
from .builder import BuilderBase
| 40.081019 | 119 | 0.551372 |
3a97bee3b980525a2f4756251f4575984854cc03 | 500 | py | Python | setup.py | EricCWWong/GSimulator | aee7dc81d2a709beb94c02ffc8a288cd7ba06747 | [
"MIT"
] | null | null | null | setup.py | EricCWWong/GSimulator | aee7dc81d2a709beb94c02ffc8a288cd7ba06747 | [
"MIT"
] | 7 | 2020-02-01T02:19:49.000Z | 2020-07-10T12:49:28.000Z | setup.py | EricCWWong/GSimulator | aee7dc81d2a709beb94c02ffc8a288cd7ba06747 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name="GSimulator",
packages=find_packages(exclude=['*test']),
version="0.1.1",
author="Eric Wong",
description='This package allows user to \
simulate conductance of quantum wires',
author_email='c.wing.wong.19@ucl.ac.uk',
install_r... | 29.411765 | 77 | 0.644 |
3a98425fabf2f4efae0310710f9d76f3fbba768a | 3,995 | py | Python | donn/layers.py | sharan-amutharasu/DONN | c14557e8ef57f3e1c1b73c1fa98cb6ba19a82904 | [
"MIT"
] | 3 | 2018-08-17T05:31:25.000Z | 2020-02-13T19:43:02.000Z | tests/donn/layers.py | sharan-amutharasu/DONN | c14557e8ef57f3e1c1b73c1fa98cb6ba19a82904 | [
"MIT"
] | 1 | 2018-11-19T06:16:50.000Z | 2018-11-19T06:17:53.000Z | tests/donn/layers.py | sharan-amutharasu/DONN | c14557e8ef57f3e1c1b73c1fa98cb6ba19a82904 | [
"MIT"
] | 2 | 2018-12-06T05:01:07.000Z | 2018-12-06T11:59:47.000Z |
# coding: utf-8
# In[4]:
from keras.layers import Activation, Dense, Dropout
from keras.layers.advanced_activations import LeakyReLU, PReLU, ThresholdedReLU, ELU
from keras import regularizers
# In[5]:
def get_activation_layer(activation):
"""
Returns the activation layer given its name
"""
if a... | 37.336449 | 163 | 0.606758 |
3a9e23b66225e7784226027da5b0c2acadfbb17f | 4,905 | py | Python | rurina5/input/map.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | rurina5/input/map.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | rurina5/input/map.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | from typing import Union, Sequence
import event
_actions = {}
"""_actions = {
'action_name': {
'event1event2':
{
'event1': ...,
'event2': ...
}
}
}"""
__all__ = (
'addaction',
'removeaction',
'haveaction',
'action... | 29.196429 | 117 | 0.648114 |
3a9f119bf4f058c5f85a03cbf6f4da2b349b8dd5 | 1,604 | py | Python | data/ABC/filter_out_tiny_models.py | YoungXIAO13/6DPoseEstimationDatasets | b9cb1d9842870860a15bf3cf600cdfb68d1e195e | [
"MIT"
] | 383 | 2019-09-03T15:29:22.000Z | 2022-03-28T02:01:15.000Z | data/ABC/filter_out_tiny_models.py | Fang-Haoshu/ObjectPoseEstimationSummary | 2a11797e6b01e1820105740fcaeb7c049094c57f | [
"MIT"
] | 5 | 2019-10-18T13:04:07.000Z | 2021-09-29T05:26:52.000Z | data/ABC/filter_out_tiny_models.py | Fang-Haoshu/ObjectPoseEstimationSummary | 2a11797e6b01e1820105740fcaeb7c049094c57f | [
"MIT"
] | 63 | 2019-09-17T12:13:51.000Z | 2022-03-28T03:06:05.000Z | import os
from os.path import join, getsize
from PIL import Image
from tqdm import tqdm
import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--dataset_dir', type=str, help='dataset directory')
parser.add_argument('--model', type=str, default='abc_0000', help='subdirectory containi... | 39.121951 | 106 | 0.639027 |
3aa041de8b903df622c3ee51ddf1f6842ee18d8c | 59 | py | Python | perception/navigator_vision/navigator_vision/__init__.py | czk100/NaviGator | c078c68768c1df4ad48c4c9a60a8c0bf4bdab63a | [
"MIT"
] | null | null | null | perception/navigator_vision/navigator_vision/__init__.py | czk100/NaviGator | c078c68768c1df4ad48c4c9a60a8c0bf4bdab63a | [
"MIT"
] | null | null | null | perception/navigator_vision/navigator_vision/__init__.py | czk100/NaviGator | c078c68768c1df4ad48c4c9a60a8c0bf4bdab63a | [
"MIT"
] | null | null | null | from scan_the_code_classifier import ScanTheCodeClassifier
| 29.5 | 58 | 0.932203 |
3aa10622900b7fd3873b3fb7ab47170cdb7c2440 | 2,959 | py | Python | assignments/06-python-first-lines/first_lines.py | patarajarina/biosys-analytics | a5e8845211797364ec6f7f8679911ed3b5312887 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | patarajarina/biosys-analytics | a5e8845211797364ec6f7f8679911ed3b5312887 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | patarajarina/biosys-analytics | a5e8845211797364ec6f7f8679911ed3b5312887 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : patarajarina
Date : 2019-02-25
Purpose: Rock the Casbah
"""
import argparse
import sys
import os
# --------------------------------------------------
def get_args():
"""get command-line arguments"""
parser = argparse.ArgumentParser(
description='Argparse Python sc... | 26.9 | 82 | 0.460967 |