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2860ad63802d9b4247cfc5b4ea2a3cd53137c044 | 3,973 | py | Python | src/anaplan_api/Upload.py | pieter-pot/anaplan-api | 1b099cb102f98b114afa0794a40aaf0de19956c1 | [
"BSD-2-Clause"
] | null | null | null | src/anaplan_api/Upload.py | pieter-pot/anaplan-api | 1b099cb102f98b114afa0794a40aaf0de19956c1 | [
"BSD-2-Clause"
] | null | null | null | src/anaplan_api/Upload.py | pieter-pot/anaplan-api | 1b099cb102f98b114afa0794a40aaf0de19956c1 | [
"BSD-2-Clause"
] | null | null | null | # ===============================================================================
# Created: 1 Nov 2021
# @author: Jesse Wilson (Anaplan Asia Pte Ltd)
# Description: Abstract Anaplan Authentication Class
# Input: Username & Password, or SHA keypair
# Output: Anaplan JWT and token expiry time
# ================... | 29.87218 | 106 | 0.686383 |
28631cb627e7dcbf9512e0e9d35ed83e8378693a | 427 | py | Python | startPWM.py | adeept/adeept_alter | 6adf00eb141405fc3abad44965f81ba7797dd962 | [
"MIT"
] | 1 | 2021-12-21T15:50:57.000Z | 2021-12-21T15:50:57.000Z | startPWM.py | adeept/adeept_alter | 6adf00eb141405fc3abad44965f81ba7797dd962 | [
"MIT"
] | 2 | 2021-03-14T22:05:42.000Z | 2021-07-19T22:13:37.000Z | startPWM.py | adeept/adeept_alter | 6adf00eb141405fc3abad44965f81ba7797dd962 | [
"MIT"
] | null | null | null | import Adafruit_PCA9685
pwm = Adafruit_PCA9685.PCA9685()
pwm.set_pwm_freq(50)
initPWM = 320
setPWM = initPWM
ctrlPort = 11
try:
main()
except KeyboardInterrupt:
pwm.set_pwm(ctrlPort, 0, initPWM) | 16.423077 | 35 | 0.651054 |
28658c7c561044400a64c09359dccf6abba3fb8e | 2,042 | py | Python | get_tracks.py | RamonPuon/Spotipy-Valence-Analysis | 05f48e068097839d3dbd47d06f69608e48d1ac16 | [
"MIT"
] | null | null | null | get_tracks.py | RamonPuon/Spotipy-Valence-Analysis | 05f48e068097839d3dbd47d06f69608e48d1ac16 | [
"MIT"
] | null | null | null | get_tracks.py | RamonPuon/Spotipy-Valence-Analysis | 05f48e068097839d3dbd47d06f69608e48d1ac16 | [
"MIT"
] | null | null | null | #cred.py, python script with my client ID and my client secret
import cred
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import pandas as pd
client_credential_manager = SpotifyClientCredentials(client_id= cred.client_ID, client_secret= cred.client_SECRET)
sp = spotipy.Spotify(client_credentials_ma... | 39.269231 | 114 | 0.644466 |
28673f63b24f6a069e726650a9df5d529a4e2b9c | 3,053 | py | Python | Uzura/data/subsystem/stream.py | jskny/Uzura | 356f8c25ceef5bd098b8e338e4acabb3f8653dca | [
"MIT"
] | null | null | null | Uzura/data/subsystem/stream.py | jskny/Uzura | 356f8c25ceef5bd098b8e338e4acabb3f8653dca | [
"MIT"
] | null | null | null | Uzura/data/subsystem/stream.py | jskny/Uzura | 356f8c25ceef5bd098b8e338e4acabb3f8653dca | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Perl
# 2012 / 11 / 14
# jskny
# http://d.hatena.ne.jp/iacctech/20110429/1304090609
import sys, tweepy, urllib, urllib2
import os, time, subprocess, socket
import re
from tweepy.streaming import StreamListener, Stream
from tweepy.auth import OAuthHandler
from da... | 24.821138 | 263 | 0.717327 |
286a9f1d8d066c57291a41e5d9d48a731a2d4a0c | 541 | py | Python | templates/django/djangoRest/app_dir/user/test/test_user_views.py | david-osas/create-basic-app | 860fc579672855093ad8426fb01d010de4c7cff8 | [
"MIT"
] | 2 | 2020-12-01T11:33:36.000Z | 2020-12-01T12:25:49.000Z | django-rest-framework-boilerplate/app_dir/user/test/test_user_views.py | PiotrZak/lem-golem | 78f91f21b19725fca99c05d8c536330ef2785064 | [
"MIT"
] | 2 | 2020-11-25T14:38:57.000Z | 2020-11-25T22:55:25.000Z | templates/django/djangoRest/app_dir/user/test/test_user_views.py | david-osas/create-basic-app | 860fc579672855093ad8426fb01d010de4c7cff8 | [
"MIT"
] | 2 | 2020-11-26T08:59:50.000Z | 2021-03-30T20:01:06.000Z | from django.test import TestCase
from django.urls import reverse
from rest_framework.test import APIClient
from ...factories import UserFactory
| 28.473684 | 54 | 0.698706 |
286ba9afaaf93ad96524d8cf507a1bf2ad30a104 | 2,862 | py | Python | port_mapping.py | sbalasa/CiscoFMC | 024c9b6df3513e1e4a8e3e3f976a0c67b58c1909 | [
"MIT"
] | 1 | 2021-11-09T03:56:29.000Z | 2021-11-09T03:56:29.000Z | port_mapping.py | sbalasa/CiscoFMC | 024c9b6df3513e1e4a8e3e3f976a0c67b58c1909 | [
"MIT"
] | null | null | null | port_mapping.py | sbalasa/CiscoFMC | 024c9b6df3513e1e4a8e3e3f976a0c67b58c1909 | [
"MIT"
] | 1 | 2021-11-09T03:56:06.000Z | 2021-11-09T03:56:06.000Z | ports = {
"ssh": {"type": "PortLiteral", "port": "22", "protocol": "6",},
"udp/netbios-dgm": {"type": "PortLiteral", "port": "138", "protocol": "17",},
"udp/netbios-ns": {"type": "PortLiteral", "port": "137", "protocol": "17",},
"tcp/ssh": {"type": "PortLiteral", "port": "22", "protocol": "6",},
... | 57.24 | 82 | 0.490217 |
286dae799942d25528e620a011ce5d17032d1ce7 | 2,336 | py | Python | deep-learning-lab-00/binlogreg.py | BalderOdinson/Deep-Learning-Lab | 70786ff1be40fc829d64a644585c1d5683c76538 | [
"MIT"
] | null | null | null | deep-learning-lab-00/binlogreg.py | BalderOdinson/Deep-Learning-Lab | 70786ff1be40fc829d64a644585c1d5683c76538 | [
"MIT"
] | null | null | null | deep-learning-lab-00/binlogreg.py | BalderOdinson/Deep-Learning-Lab | 70786ff1be40fc829d64a644585c1d5683c76538 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 18 18:38:38 2019
@author: Oshikuru
"""
import numpy as np
import matplotlib.pyplot as plt
import random
import data
import pdb
import IPython
param_delta = 0.5
param_niter = 100
param_lambda = 0.01
def binlogreg_train(X,Y_):
'''
Argumenti
X: podatci, np.a... | 24.851064 | 141 | 0.610445 |
286e9cde8312920eabbf75c1a2872023f23ceb28 | 778 | py | Python | LintCode/1103.py | RENHANFEI/LintCode | d572dee248ba4c2a95b52cd737d76c7297f4e7b4 | [
"CNRI-Python"
] | null | null | null | LintCode/1103.py | RENHANFEI/LintCode | d572dee248ba4c2a95b52cd737d76c7297f4e7b4 | [
"CNRI-Python"
] | null | null | null | LintCode/1103.py | RENHANFEI/LintCode | d572dee248ba4c2a95b52cd737d76c7297f4e7b4 | [
"CNRI-Python"
] | null | null | null | from collections import Counter
| 25.933333 | 71 | 0.417738 |
286fb0783887ca84bf84591d7e276b7bf74e2f66 | 2,867 | py | Python | safe_eval/default_rules.py | bentheiii/safe_eval | caf9e7a6df3d6029e4bdac2abe11326d55c09ed2 | [
"MIT"
] | 1 | 2021-05-16T17:24:05.000Z | 2021-05-16T17:24:05.000Z | safe_eval/default_rules.py | bentheiii/safe_eval | caf9e7a6df3d6029e4bdac2abe11326d55c09ed2 | [
"MIT"
] | null | null | null | safe_eval/default_rules.py | bentheiii/safe_eval | caf9e7a6df3d6029e4bdac2abe11326d55c09ed2 | [
"MIT"
] | null | null | null | from _ast import In, NotIn, Is, IsNot
from collections import deque, Counter
from decimal import Decimal
from fractions import Fraction
from safe_eval.rules import BinOpRule, CallableTypeRule, CallableRule, GetattrTypeRule, CallableMethodRule
k_view_type = type({}.keys())
v_view_type = type({}.values())
it_view_type ... | 31.505495 | 118 | 0.702825 |
2870b3250a7dca1e04fe54265450ad0c248653be | 6,745 | py | Python | test/lib/mayaUsd/render/vp2RenderDelegate/testVP2RenderDelegatePointInstanceSelection.py | ika-rporter/maya-usd | 8f216a4fb955fc44c0abda55caa53ed295aaa625 | [
"Apache-2.0"
] | 507 | 2019-07-30T20:05:10.000Z | 2022-03-30T07:38:43.000Z | test/lib/mayaUsd/render/vp2RenderDelegate/testVP2RenderDelegatePointInstanceSelection.py | ika-rporter/maya-usd | 8f216a4fb955fc44c0abda55caa53ed295aaa625 | [
"Apache-2.0"
] | 1,188 | 2019-07-31T11:27:27.000Z | 2022-03-31T21:06:06.000Z | test/lib/mayaUsd/render/vp2RenderDelegate/testVP2RenderDelegatePointInstanceSelection.py | ika-rporter/maya-usd | 8f216a4fb955fc44c0abda55caa53ed295aaa625 | [
"Apache-2.0"
] | 165 | 2019-07-30T22:27:57.000Z | 2022-03-25T07:20:23.000Z | #!/usr/bin/env mayapy
#
# Copyright 2021 Autodesk
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 37.265193 | 100 | 0.697999 |
2871778d5e8e5178dee6f9e80da7e8ac737d84a0 | 5,443 | py | Python | cy_widgets/strategy/exchange/base.py | cragod/CYWidgets | b1df1e32c363ed9252737d3041a7557b1dc604fe | [
"MIT"
] | 1 | 2021-06-17T02:25:25.000Z | 2021-06-17T02:25:25.000Z | cy_widgets/strategy/exchange/base.py | cragod/CYWidgets | b1df1e32c363ed9252737d3041a7557b1dc604fe | [
"MIT"
] | null | null | null | cy_widgets/strategy/exchange/base.py | cragod/CYWidgets | b1df1e32c363ed9252737d3041a7557b1dc604fe | [
"MIT"
] | 1 | 2021-12-08T06:50:33.000Z | 2021-12-08T06:50:33.000Z | # -*- coding: utf-8 -*-
import numpy as np
import talib as ta
from abc import ABC, abstractproperty, abstractclassmethod, abstractmethod
| 35.344156 | 165 | 0.533346 |
287237c213c17fd114b9833d581d53122d6ad18d | 492 | py | Python | app/core/admin/__init__.py | 3darkman/faction-builder-api | 9dda323ef44a1ca0976306a4f20f9cc3e13704ec | [
"MIT"
] | null | null | null | app/core/admin/__init__.py | 3darkman/faction-builder-api | 9dda323ef44a1ca0976306a4f20f9cc3e13704ec | [
"MIT"
] | null | null | null | app/core/admin/__init__.py | 3darkman/faction-builder-api | 9dda323ef44a1ca0976306a4f20f9cc3e13704ec | [
"MIT"
] | null | null | null | from django.contrib import admin
from core import models
from .category import CategoryAdmin
from .trait import TraitAdmin
from .user import UserAdmin
admin.site.register(models.User, UserAdmin)
admin.site.register(models.Ability)
admin.site.register(models.Category, CategoryAdmin)
admin.site.register(models.Trait, ... | 28.941176 | 51 | 0.835366 |
287358c4458cfef128d6223f0355c87f498e047c | 2,196 | py | Python | src/predict_video_file.py | irfanmustafas/TeethClassifierCNN | 8c58b50162b3f9eb7f12251cbca9fcbd4d6c43b7 | [
"MIT"
] | 1 | 2018-12-05T01:49:54.000Z | 2018-12-05T01:49:54.000Z | src/predict_video_file.py | irfanmustafas/TeethClassifierCNN | 8c58b50162b3f9eb7f12251cbca9fcbd4d6c43b7 | [
"MIT"
] | null | null | null | src/predict_video_file.py | irfanmustafas/TeethClassifierCNN | 8c58b50162b3f9eb7f12251cbca9fcbd4d6c43b7 | [
"MIT"
] | null | null | null | import numpy as np
import sys
import caffe
import glob
import uuid
import cv2
from util import transform_img
from mouth_detector_dlib import mouth_detector
from caffe.proto import caffe_pb2
import os
import shutil
from util import histogram_equalization
from teeth_cnn import teeth_cnn
mouth_detector_instance = mouth_d... | 31.371429 | 89 | 0.679417 |
28738d283bf4868349454e25d748bec7dc9a9c6f | 33,650 | py | Python | sdk/python/pulumi_gcp/dataloss/prevention_deidentify_template.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/dataloss/prevention_deidentify_template.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/dataloss/prevention_deidentify_template.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 56.841216 | 422 | 0.624101 |
2874251d928931a6c2a13448e5d757c4351cb292 | 2,163 | py | Python | examples/quickstart.py | miketlk/omfgp | 6e5a0f52f2688d81bde3e5169a37311c9517fe1d | [
"MIT"
] | null | null | null | examples/quickstart.py | miketlk/omfgp | 6e5a0f52f2688d81bde3e5169a37311c9517fe1d | [
"MIT"
] | null | null | null | examples/quickstart.py | miketlk/omfgp | 6e5a0f52f2688d81bde3e5169a37311c9517fe1d | [
"MIT"
] | 1 | 2021-08-16T10:19:52.000Z | 2021-08-16T10:19:52.000Z | import sys
import omfgp as gp
import time
if gp.USES_USCARD:
import uscard
from machine import Pin
def get_default_reader():
"""Return default smart card reader."""
if gp.USES_USCARD:
return uscard.Reader(name="Smart card reader",
ifaceId=2,
... | 32.283582 | 77 | 0.631993 |
28742e12e6739c290a95e278f025627ff9c82803 | 685 | py | Python | basic/myunittest/test_timeit.py | fplust/python3-cookbook | 0eaca2e3631bb69deaf466c32023bbb2093513da | [
"Apache-2.0"
] | 1 | 2019-07-25T09:09:54.000Z | 2019-07-25T09:09:54.000Z | basic/myunittest/test_timeit.py | fplust/python3-cookbook | 0eaca2e3631bb69deaf466c32023bbb2093513da | [
"Apache-2.0"
] | null | null | null | basic/myunittest/test_timeit.py | fplust/python3-cookbook | 0eaca2e3631bb69deaf466c32023bbb2093513da | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
Topic:
Desc :
"""
from timeit import timeit
__author__ = 'Xiong Neng'
if __name__ == '__main__':
main()
| 17.125 | 58 | 0.563504 |
28753e72046917448d518c1d4a909cdfe502ee60 | 7,276 | py | Python | tectosaur2/hmatrix/tree.py | tbenthompson/BIE_tutorials | 02cd56ab7e63e36afc4a10db17072076541aab77 | [
"MIT"
] | 15 | 2021-08-31T15:02:45.000Z | 2022-02-11T21:10:01.000Z | tectosaur2/hmatrix/tree.py | tbenthompson/BIE_tutorials | 02cd56ab7e63e36afc4a10db17072076541aab77 | [
"MIT"
] | 79 | 2021-08-29T15:35:39.000Z | 2022-03-25T14:56:42.000Z | tectosaur2/hmatrix/tree.py | tbenthompson/BIE_tutorials | 02cd56ab7e63e36afc4a10db17072076541aab77 | [
"MIT"
] | 3 | 2022-03-12T14:44:41.000Z | 2022-03-21T20:43:20.000Z | from dataclasses import dataclass
from typing import Optional
import matplotlib.pyplot as plt
import numpy as np
def build_tree(pts, radii, min_pts_per_box=10):
# The tree construction process receives three parameters:
#
# pts: the center of each element.
#
# radii: the radius of each element.... | 35.149758 | 94 | 0.665063 |
2875e4f861693b2c0256a550012c98712e49a11c | 644 | py | Python | 2017/day2/corruptionChecksum.py | madeleine-adams/advent_of_code_2020 | 8f142a91d1a40390aad274c5e0513f50b168d029 | [
"MIT"
] | null | null | null | 2017/day2/corruptionChecksum.py | madeleine-adams/advent_of_code_2020 | 8f142a91d1a40390aad274c5e0513f50b168d029 | [
"MIT"
] | null | null | null | 2017/day2/corruptionChecksum.py | madeleine-adams/advent_of_code_2020 | 8f142a91d1a40390aad274c5e0513f50b168d029 | [
"MIT"
] | null | null | null | file = open('corruptionChecksum_input.txt', 'r')
spreadsheet = file.readlines()
checksum = 0
for line in spreadsheet:
cells = line.split()
minimum = find_smallest(cells)
maximum = find_largest(cells)
checksum += maximum - minimum
print(checksum)
| 20.774194 | 48 | 0.636646 |
287609c52314ac1d737c0937fa4d8b3058a4d68f | 3,579 | py | Python | neurst/cli/inspect_checkpoint.py | ishine/neurst | 2ba322393fcfed4261b33f4a657e12bbe321baaa | [
"Apache-2.0"
] | 208 | 2020-11-12T03:56:41.000Z | 2022-03-27T07:01:27.000Z | neurst/cli/inspect_checkpoint.py | ishine/neurst | 2ba322393fcfed4261b33f4a657e12bbe321baaa | [
"Apache-2.0"
] | 16 | 2021-02-20T07:57:03.000Z | 2022-01-27T07:36:31.000Z | neurst/cli/inspect_checkpoint.py | ishine/neurst | 2ba322393fcfed4261b33f4a657e12bbe321baaa | [
"Apache-2.0"
] | 33 | 2020-11-12T04:44:50.000Z | 2022-03-23T09:22:29.000Z | # Copyright 2020 ByteDance Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 41.137931 | 103 | 0.658843 |
28762253888319609860c7b7288acdb032a74ac2 | 1,621 | py | Python | homepage/migrations/0005_professor_test_data.py | oriAdler/ClassRater | a68492ea8eab1475ab604da9d6efc99c73954d4b | [
"MIT"
] | 1 | 2021-04-12T18:05:12.000Z | 2021-04-12T18:05:12.000Z | homepage/migrations/0005_professor_test_data.py | ellaml/ClassRater | d786f9fb4bb51041590e46165badf12a7beef67e | [
"MIT"
] | 103 | 2021-03-09T07:12:20.000Z | 2021-05-23T06:13:21.000Z | homepage/migrations/0005_professor_test_data.py | ellaml/ClassRater | d786f9fb4bb51041590e46165badf12a7beef67e | [
"MIT"
] | 17 | 2021-03-09T07:07:44.000Z | 2021-05-02T16:31:45.000Z | from django.db import migrations, transaction
| 33.770833 | 76 | 0.595312 |
2876482aeef7877b4183338fac2e85b74a0eaedf | 1,220 | py | Python | scripts/hsvanalyzer.py | acmerobotics/relic-recovery | 4ff05bbf906829aef0a98bc32691e5d0eadc1d8f | [
"MIT"
] | 32 | 2018-01-17T03:00:02.000Z | 2022-01-15T18:30:48.000Z | scripts/hsvanalyzer.py | acmerobotics/relic-recovery | 4ff05bbf906829aef0a98bc32691e5d0eadc1d8f | [
"MIT"
] | 4 | 2017-10-21T20:28:27.000Z | 2018-04-02T05:27:00.000Z | scripts/hsvanalyzer.py | acmerobotics/relic-recovery | 4ff05bbf906829aef0a98bc32691e5d0eadc1d8f | [
"MIT"
] | 7 | 2018-02-21T00:59:20.000Z | 2021-01-21T21:52:17.000Z | import cv2
import numpy as np
from matplotlib import pyplot as plt
from util import resize_min_dim, smart_hsv_range
IMAGE_FILENAME = '/Users/ryanbrott/Desktop/36.jpg'
MIN_DIMENSION = 480
# LOWER_HSV, UPPER_HSV = (170, 80, 0), (7, 255, 255)
LOWER_HSV, UPPER_HSV = (175, 80, 80), (22, 255, 255)
image = cv2.imread(IMAGE_... | 23.461538 | 76 | 0.705738 |
2876ee5a4ee75e47b6a9d9c1abc057001acf18bc | 1,114 | py | Python | FEniCSUI/AnalysesHub/models.py | nasserarbabi/FEniCSUI-dev | f8f161e1b49932843e01301212e7d031fff4f6c8 | [
"MIT"
] | null | null | null | FEniCSUI/AnalysesHub/models.py | nasserarbabi/FEniCSUI-dev | f8f161e1b49932843e01301212e7d031fff4f6c8 | [
"MIT"
] | 8 | 2021-03-10T21:59:52.000Z | 2021-09-22T19:12:57.000Z | FEniCSUI/AnalysesHub/models.py | nasserarbabi/FEniCSUI | f8f161e1b49932843e01301212e7d031fff4f6c8 | [
"MIT"
] | null | null | null | from django.db import models
from dashboard.models import projects
| 23.208333 | 42 | 0.672352 |
2877efb3076b7e16a9739c3098ef12ad38d235d3 | 1,924 | py | Python | code/pyto/util/test/_test_numpy_plus.py | anmartinezs/pyseg_system | 5bb07c7901062452a34b73f376057cabc15a13c3 | [
"Apache-2.0"
] | 12 | 2020-01-08T01:33:02.000Z | 2022-03-16T00:25:34.000Z | code/pyto/util/test/_test_numpy_plus.py | anmartinezs/pyseg_system | 5bb07c7901062452a34b73f376057cabc15a13c3 | [
"Apache-2.0"
] | 8 | 2019-12-19T19:34:56.000Z | 2022-03-10T10:11:28.000Z | code/pyto/util/test/_test_numpy_plus.py | anmartinezs/pyseg_system | 5bb07c7901062452a34b73f376057cabc15a13c3 | [
"Apache-2.0"
] | 2 | 2022-03-30T13:12:22.000Z | 2022-03-30T18:12:10.000Z | """
ToDo: convert to proper format
Tests for modules in this directory
"""
from __future__ import print_function
# Author: Vladan Lucic, last modified 05.04.07
import scipy
import scipy.ndimage
import numpy
import pyto.util.numpy_plus as np_plus
# define test arrays
aa = numpy.arange(12, dtype='int32')
aa = aa.resh... | 26.722222 | 73 | 0.572245 |
2878821e6aef46d6ef7a165e5a576c9bd3a04754 | 922 | py | Python | GithubRepositoryStatistics-Python3/Repository.py | SmileZXLee/GithubRepositoryStatistics | 62eeddd715aecf268c48b39aa596f1168a3c2661 | [
"MIT"
] | 1 | 2020-07-15T14:12:53.000Z | 2020-07-15T14:12:53.000Z | GithubRepositoryStatistics-Python3/Repository.py | SmileZXLee/GithubRepositoryStatistics | 62eeddd715aecf268c48b39aa596f1168a3c2661 | [
"MIT"
] | null | null | null | GithubRepositoryStatistics-Python3/Repository.py | SmileZXLee/GithubRepositoryStatistics | 62eeddd715aecf268c48b39aa596f1168a3c2661 | [
"MIT"
] | null | null | null | #coding=utf-8
__author__ = 'zxlee'
__github__ = 'https://github.com/SmileZXLee/GithubRepositoryStatistics'
| 26.342857 | 87 | 0.627983 |
287c433b713a1b08f3c14e17afb0adcebbc1cab6 | 3,242 | py | Python | src/www/__init__.py | jbrezmorf/codecritic | 190df65f2f12667469b55abed48a45de5dc18965 | [
"MIT"
] | null | null | null | src/www/__init__.py | jbrezmorf/codecritic | 190df65f2f12667469b55abed48a45de5dc18965 | [
"MIT"
] | 20 | 2019-05-26T12:13:19.000Z | 2020-09-09T16:37:09.000Z | src/www/__init__.py | jbrezmorf/codecritic | 190df65f2f12667469b55abed48a45de5dc18965 | [
"MIT"
] | 1 | 2020-04-13T09:02:48.000Z | 2020-04-13T09:02:48.000Z | #!/bin/python3
# author: Jan Hybs
import enum
import pathlib
from bson import objectid
from flask import Flask, redirect, session, render_template, url_for
import flask.json
from flask_cors import CORS
from loguru import logger
from entities.crates import ICrate
from env import Env
from functools import wraps
... | 25.936 | 82 | 0.612585 |
287d78c0342acb7571ce49d00f17612456b0c4a2 | 18,740 | py | Python | pages/getAltData.py | ngocuong0105/ts_webapp | 4399862ead6eb2d0c993d36fffe14967984ad4b2 | [
"MIT"
] | null | null | null | pages/getAltData.py | ngocuong0105/ts_webapp | 4399862ead6eb2d0c993d36fffe14967984ad4b2 | [
"MIT"
] | null | null | null | pages/getAltData.py | ngocuong0105/ts_webapp | 4399862ead6eb2d0c993d36fffe14967984ad4b2 | [
"MIT"
] | null | null | null | import base64
from collections import deque
from io import BytesIO
import os
import time
from PIL import Image
import pandas as pd
from pandas.core.arrays import boolean
import praw
import requests
import streamlit as st
import datetime
import pytesseract
pytesseract.pytesseract.tesseract_cmd ='context/tesseract'
impo... | 44.513064 | 143 | 0.596265 |
287d866f9124af9905e3876a7fc982e255ffcb59 | 157 | py | Python | npt/pipelines/__init__.py | chbrandt/npt | 7d58db9987c8f4d93c4e61e1fc98cce38733d06e | [
"MIT"
] | null | null | null | npt/pipelines/__init__.py | chbrandt/npt | 7d58db9987c8f4d93c4e61e1fc98cce38733d06e | [
"MIT"
] | 2 | 2022-02-18T16:38:13.000Z | 2022-02-18T16:56:33.000Z | npt/pipelines/__init__.py | chbrandt/npt | 7d58db9987c8f4d93c4e61e1fc98cce38733d06e | [
"MIT"
] | 1 | 2022-03-15T09:03:51.000Z | 2022-03-15T09:03:51.000Z | from npt import log
from . import search as Search
from . import download as Download
from . import processing as Processing
from . import mosaic as Mosaic
| 22.428571 | 38 | 0.789809 |
287f3fa6bbdc5def4722251d903f7d2865df6fbb | 324 | py | Python | config.py | Shutey/ShuteyBot2.0 | 16f0baf6e8725bb452cac06fa60d6db023212f6c | [
"MIT"
] | 2 | 2020-04-23T00:52:06.000Z | 2020-04-23T00:56:24.000Z | config.py | Shutey/ShuteyBot2.0 | 16f0baf6e8725bb452cac06fa60d6db023212f6c | [
"MIT"
] | null | null | null | config.py | Shutey/ShuteyBot2.0 | 16f0baf6e8725bb452cac06fa60d6db023212f6c | [
"MIT"
] | null | null | null | token = 'Mzc5NTc3MDc1NTU3NzI4MjU2.DXixQA.DLLB8b81nSyB1IGNJ6WeEeukAQU' #Put Your bots token here
prefix = '^^' #put prefix here
link = 'https://discordapp.com/oauth2/authorize?client_id=379577075557728256&scope=bot&permissions=134659080' #put bot invite link here
ownerid = '227860415709708288' #put your id here... | 36 | 136 | 0.774691 |
2881d51b1365029af80a4c7b248cb3bb598a7958 | 3,466 | py | Python | frispy/throw_data.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | frispy/throw_data.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | frispy/throw_data.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 John Carrino
import struct
from dataclasses import dataclass
import numpy as np
from scipy.spatial.transform import Rotation
| 35.731959 | 124 | 0.638777 |
288275f551eb96263ac0a6a9893bc8305effff9d | 7,754 | py | Python | test/test_hankelutils.py | hlatkydavid/vnmrjpy | 48707a1000dc87e646e37c8bd686e695bd31a61e | [
"MIT"
] | null | null | null | test/test_hankelutils.py | hlatkydavid/vnmrjpy | 48707a1000dc87e646e37c8bd686e695bd31a61e | [
"MIT"
] | null | null | null | test/test_hankelutils.py | hlatkydavid/vnmrjpy | 48707a1000dc87e646e37c8bd686e695bd31a61e | [
"MIT"
] | null | null | null | import unittest
import vnmrjpy as vj
import numpy as np
import matplotlib.pyplot as plt
import time
#import cupy as cp
RP={'rcvrs':4,'filter_size':(11,7),'virtualcoilboost':False}
PLOTTING = False
| 39.969072 | 79 | 0.596595 |
2883fadc5c01ff1f187f68ba84f5e3ae0a52978b | 1,057 | py | Python | src/archive/test3.py | felipearcaro/indexing-repository-python | 4fa504d3535495b30db443cc753ebc56e7e329c2 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/archive/test3.py | felipearcaro/indexing-repository-python | 4fa504d3535495b30db443cc753ebc56e7e329c2 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/archive/test3.py | felipearcaro/indexing-repository-python | 4fa504d3535495b30db443cc753ebc56e7e329c2 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | #setup
import docx2txt
# extract text
text = docx2txt.process("../documents/ambev.docx")
text2 = docx2txt.process("../documents/ambev2.docx")
text3 = docx2txt.process("../documents/ambev3.docx")
from whoosh.fields import Schema, TEXT
schema = Schema(title=TEXT, content=TEXT)
import os, os.path
from whoosh import i... | 24.581395 | 53 | 0.746452 |
28846fa1c1e9c7ab3ae95eddc73455be7f366a02 | 196 | py | Python | Source Code/web/backend/files_app/fileapi/urls.py | creosB/Virtual-pdf-library | edb334b16dfd0d3c616683f6fbb370e54f489560 | [
"CC0-1.0"
] | 11 | 2021-12-20T01:51:56.000Z | 2022-01-01T10:17:47.000Z | Source Code/web/backend/files_app/fileapi/urls.py | creosB/Virtual-pdf-library | edb334b16dfd0d3c616683f6fbb370e54f489560 | [
"CC0-1.0"
] | null | null | null | Source Code/web/backend/files_app/fileapi/urls.py | creosB/Virtual-pdf-library | edb334b16dfd0d3c616683f6fbb370e54f489560 | [
"CC0-1.0"
] | 1 | 2021-12-21T08:47:56.000Z | 2021-12-21T08:47:56.000Z | from django.urls import path
from .views import FileList, FileDetail
urlpatterns = [
path('',FileList.as_view()),
path('<int:pk>/',FileDetail.as_view()), # individual items from django
] | 24.5 | 74 | 0.704082 |
288538cbd5c881814ddd71394b3b7fcabde021bf | 4,427 | py | Python | barcodes/generateBarcodes.py | sbarton272/AcousticBarcodes-Explorations | 73f019228988727575af7d67d1b7c7119f6c49a6 | [
"MIT"
] | null | null | null | barcodes/generateBarcodes.py | sbarton272/AcousticBarcodes-Explorations | 73f019228988727575af7d67d1b7c7119f6c49a6 | [
"MIT"
] | null | null | null | barcodes/generateBarcodes.py | sbarton272/AcousticBarcodes-Explorations | 73f019228988727575af7d67d1b7c7119f6c49a6 | [
"MIT"
] | null | null | null | """
Generate barcode images with various encodings
TODO
- Include text at bottom
- DXF instead
"""
#========================================================
# Imports
#========================================================
from dxfwrite import DXFEngine as dxf
#=====================================================... | 29.125 | 98 | 0.483171 |
2887834c88b90ae4d29891c6021442f87fb025c0 | 110 | py | Python | example/cheeseshop/apps/catalog/admin.py | sflems/django-constance | e177292c74cbf158c7218d8818d5d6c34b17eee1 | [
"BSD-3-Clause"
] | 899 | 2015-12-17T09:24:11.000Z | 2022-03-31T15:57:53.000Z | example/cheeseshop/apps/catalog/admin.py | sflems/django-constance | e177292c74cbf158c7218d8818d5d6c34b17eee1 | [
"BSD-3-Clause"
] | 342 | 2015-12-27T11:07:44.000Z | 2022-03-24T13:34:46.000Z | example/cheeseshop/apps/catalog/admin.py | sflems/django-constance | e177292c74cbf158c7218d8818d5d6c34b17eee1 | [
"BSD-3-Clause"
] | 213 | 2015-12-23T00:32:34.000Z | 2022-03-17T17:04:57.000Z | from django.contrib import admin
from cheeseshop.apps.catalog.models import Brand
admin.site.register(Brand)
| 22 | 48 | 0.836364 |
28878c846aed485a7bc9a73365300409e1defb8b | 672 | py | Python | leetcode/editor/cn/FindKPairsWithSmallestSums.py | huangge1199/leet-code-python | 5d01bbb6f12a495ea7ea0a90b5b3b4aa92bcc2f7 | [
"Apache-2.0"
] | 1 | 2022-02-12T13:55:41.000Z | 2022-02-12T13:55:41.000Z | leetcode/editor/cn/FindKPairsWithSmallestSums.py | huangge1199/leet-code-python | 5d01bbb6f12a495ea7ea0a90b5b3b4aa92bcc2f7 | [
"Apache-2.0"
] | null | null | null | leetcode/editor/cn/FindKPairsWithSmallestSums.py | huangge1199/leet-code-python | 5d01bbb6f12a495ea7ea0a90b5b3b4aa92bcc2f7 | [
"Apache-2.0"
] | null | null | null | # 373: K
# leetcode submit region begin(Prohibit modification and deletion)
from heapq import heappop, heappush
from typing import List
# leetcode submit region end(Prohibit modification and deletion)
| 33.6 | 92 | 0.578869 |
288bed12c190fb35b526a110b53eefe990c1f7a5 | 2,505 | py | Python | urls.py | Shakil-1501/Quizdjango | 5e201d0f05ce2a49d36484009ff6032821365bc6 | [
"MIT"
] | null | null | null | urls.py | Shakil-1501/Quizdjango | 5e201d0f05ce2a49d36484009ff6032821365bc6 | [
"MIT"
] | null | null | null | urls.py | Shakil-1501/Quizdjango | 5e201d0f05ce2a49d36484009ff6032821365bc6 | [
"MIT"
] | null | null | null | # Core Django imports.
from django.urls import path
from django.shortcuts import redirect, render
# LMS app imports
from lms.views.course.course_views import (
CourseListView,fetch_questions,compute_stats,display_lp,Edit_quiz,preview_quiz,fetch_questions_oneatatime,compute_html,enter_comment,quiz_lp
)
... | 22.567568 | 145 | 0.621956 |
288fb0e62147ed4c6a19e3faeb3476a5404525aa | 270 | py | Python | rasterio/errors.py | clembou/rasterio | 57169c31dae04e1319b4c4b607345475a7122910 | [
"BSD-3-Clause"
] | null | null | null | rasterio/errors.py | clembou/rasterio | 57169c31dae04e1319b4c4b607345475a7122910 | [
"BSD-3-Clause"
] | null | null | null | rasterio/errors.py | clembou/rasterio | 57169c31dae04e1319b4c4b607345475a7122910 | [
"BSD-3-Clause"
] | null | null | null | """A module of errors."""
| 27 | 78 | 0.733333 |
2893612d9bb5f812e7e498a10ba625355b7d1dee | 1,794 | py | Python | clientV4.py | sekranmert/AWS-Arduino-SmartHomeSystem | 80f4b6a5871fccb3bfc065d3fac5ba09feec525a | [
"MIT"
] | 1 | 2021-06-24T14:24:39.000Z | 2021-06-24T14:24:39.000Z | clientV4.py | sekranmert/AWS-Arduino-SmartHomeSystem | 80f4b6a5871fccb3bfc065d3fac5ba09feec525a | [
"MIT"
] | null | null | null | clientV4.py | sekranmert/AWS-Arduino-SmartHomeSystem | 80f4b6a5871fccb3bfc065d3fac5ba09feec525a | [
"MIT"
] | null | null | null | import socket
import threading
helpMessage = '-q -- close connection\n-l -- list of connected devices\n-t -- server time \n-s "arduino/client ""reciever name" "message" -- send message (messages can be max 100 character) \nif reciever is an arduino board it can be controlled by this messsage:\n -s arduino "arduino ... | 32.618182 | 312 | 0.545151 |
289396e6e160ca17355478e692561082d33da8f2 | 3,885 | py | Python | data_loader/data_loaders.py | ChunpingQiu/Sen2LCZ_CNN | 5576567da658f945321280f37ff8d9bf46dd1818 | [
"MIT"
] | null | null | null | data_loader/data_loaders.py | ChunpingQiu/Sen2LCZ_CNN | 5576567da658f945321280f37ff8d9bf46dd1818 | [
"MIT"
] | null | null | null | data_loader/data_loaders.py | ChunpingQiu/Sen2LCZ_CNN | 5576567da658f945321280f37ff8d9bf46dd1818 | [
"MIT"
] | 1 | 2021-08-19T03:35:05.000Z | 2021-08-19T03:35:05.000Z | from torchvision import datasets, transforms
from base import BaseDataLoader
from torch.utils.data import Dataset, DataLoader
import pandas as pd
import torch
from skimage import io#, transform
import numpy as np
| 32.647059 | 121 | 0.621107 |
28957d205b560942a43fe20af3ee47c7d8d34a15 | 591 | py | Python | eval_predictions.py | uporwal/sigir-2019-ecom-challenge | bffa7f99930321ad5d86e0cddd3c9ddfb98ba3d2 | [
"MIT"
] | 7 | 2019-06-05T01:42:54.000Z | 2020-07-31T04:31:47.000Z | eval_predictions.py | uporwal/sigir-2019-ecom-challenge | bffa7f99930321ad5d86e0cddd3c9ddfb98ba3d2 | [
"MIT"
] | 5 | 2019-06-09T15:11:47.000Z | 2019-06-28T18:35:48.000Z | eval_predictions.py | uporwal/sigir-2019-ecom-challenge | bffa7f99930321ad5d86e0cddd3c9ddfb98ba3d2 | [
"MIT"
] | 5 | 2019-06-04T17:06:33.000Z | 2021-01-15T11:14:43.000Z | import evaluation_script
import argparse
parser = argparse.ArgumentParser(description='Evaluation script used in the eBay SIGIR 2019 eCommerce Search Challenge.')
parser.add_argument('-g', '--ground-truth-file', required=True, help="Ground truth file")
parser.add_argument('-p', '--prediction-file', required=True, help... | 45.461538 | 121 | 0.781726 |
2895a62d74a6cf74dd272cfa08d6a6029b8f3434 | 48 | py | Python | starfish/__main__.py | haoxusci/starfish | d7bd856024c75f2ce41504406f2a663566c3814b | [
"MIT"
] | 164 | 2018-03-21T21:52:56.000Z | 2022-03-23T17:14:39.000Z | starfish/__main__.py | lbgbox/starfish | 0e879d995d5c49b6f5a842e201e3be04c91afc7e | [
"MIT"
] | 1,728 | 2018-03-15T23:16:09.000Z | 2022-03-12T00:09:18.000Z | starfish/__main__.py | lbgbox/starfish | 0e879d995d5c49b6f5a842e201e3be04c91afc7e | [
"MIT"
] | 66 | 2018-03-25T17:21:15.000Z | 2022-01-16T09:17:11.000Z | from .core.starfish import starfish
starfish()
| 12 | 35 | 0.791667 |
2896d0048b215dc837ae66958ce2ac38e7c770f9 | 968 | py | Python | coreapp/migrations/0058_auto_20200426_1348.py | Quanscendence/braynai | ab828ca95571c6dffef2b2392522e6a4160a2304 | [
"MIT"
] | null | null | null | coreapp/migrations/0058_auto_20200426_1348.py | Quanscendence/braynai | ab828ca95571c6dffef2b2392522e6a4160a2304 | [
"MIT"
] | null | null | null | coreapp/migrations/0058_auto_20200426_1348.py | Quanscendence/braynai | ab828ca95571c6dffef2b2392522e6a4160a2304 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2020-04-26 08:18
from django.db import migrations, models
| 29.333333 | 144 | 0.597107 |
2897d15751315f822719f939136b75871bf6ecab | 1,431 | py | Python | server/price_cache.py | pareeohnos/ktrade | 1eaed1ff16ded580d5649c667935357567e7b514 | [
"MIT"
] | 5 | 2021-09-08T11:04:15.000Z | 2021-11-27T08:42:23.000Z | server/price_cache.py | pareeohnos/ktrade | 1eaed1ff16ded580d5649c667935357567e7b514 | [
"MIT"
] | 36 | 2021-08-31T09:28:10.000Z | 2021-12-10T06:47:04.000Z | server/price_cache.py | pareeohnos/ktrade | 1eaed1ff16ded580d5649c667935357567e7b514 | [
"MIT"
] | 2 | 2021-08-29T02:53:54.000Z | 2021-08-29T06:21:36.000Z | import logging
from server.singleton_meta import SingletonMeta
log = logging.getLogger(__name__) | 31.108696 | 81 | 0.714186 |
289918d2c57a6904734431ddd51bb10c97d644f6 | 499 | py | Python | series_loop.py | Akshara2820/Python_WhileLoop | d525b547bc8c8236cb2cd1881080ec4e6604fffc | [
"MIT"
] | 1 | 2021-09-15T03:42:15.000Z | 2021-09-15T03:42:15.000Z | series_loop.py | Akshara2820/Python_WhileLoop | d525b547bc8c8236cb2cd1881080ec4e6604fffc | [
"MIT"
] | null | null | null | series_loop.py | Akshara2820/Python_WhileLoop | d525b547bc8c8236cb2cd1881080ec4e6604fffc | [
"MIT"
] | null | null | null | # (10,2,20,4,30,6,40,8,50)
n=int(input("enter no--"))
i=1
c=10
while i<=n:
if i%2==0:
c+=10
print(i,end=",")
i+=1
i+=1
print(c,end=",")
# (1+10=11, 11+20=31, 31+30=61, 61+40=101)
n=int(input("enter no,-"))
i=0
d=1
s=10
while i<n:
print(d,end=",")
d... | 12.794872 | 44 | 0.420842 |
289d03fd3a78072e9344f01958c2c279a5179efe | 9,092 | py | Python | modules/Manager.py | jurajkula/IBT | 7b09f6d331433bfbf3e7955754a36b69b332bb4e | [
"MIT"
] | 3 | 2019-05-16T18:54:49.000Z | 2019-10-21T11:12:50.000Z | modules/Manager.py | jurajkula/IBT | 7b09f6d331433bfbf3e7955754a36b69b332bb4e | [
"MIT"
] | null | null | null | modules/Manager.py | jurajkula/IBT | 7b09f6d331433bfbf3e7955754a36b69b332bb4e | [
"MIT"
] | null | null | null | import os
import time
from os import mkdir
from os.path import isdir
from threading import Lock
import cv2
import imutils
from modules.Camera import Detect
from modules.Camera.CameraHandler import CameraHandler
from modules.Config import Config
from modules.Fusion import Fusion
from modules.Logger.Logger import Logge... | 34.439394 | 114 | 0.478883 |
289e8099349c64172c6b2bf0ba568b861c6f1152 | 5,809 | py | Python | train.py | okwrtdsh/3D-ResNets-PyTorch | f36a32ea8b283524d1d102937c49689b1f475b5f | [
"MIT"
] | null | null | null | train.py | okwrtdsh/3D-ResNets-PyTorch | f36a32ea8b283524d1d102937c49689b1f475b5f | [
"MIT"
] | null | null | null | train.py | okwrtdsh/3D-ResNets-PyTorch | f36a32ea8b283524d1d102937c49689b1f475b5f | [
"MIT"
] | null | null | null | import torch
from torch.autograd import Variable
import time
import os
import sys
import numpy as np
from utils import AverageMeter, calculate_accuracy, save_gif, accuracy
from models.binarized_modules import binarizef
| 36.30625 | 88 | 0.484249 |
289f6d1cb4c2dff400bd79a40abc1c0e080f2635 | 477 | py | Python | contact/views.py | ledomone/kurs_django | c24aaf8f8a22a695b41e2436bf9bf4d1ca665079 | [
"MIT"
] | null | null | null | contact/views.py | ledomone/kurs_django | c24aaf8f8a22a695b41e2436bf9bf4d1ca665079 | [
"MIT"
] | null | null | null | contact/views.py | ledomone/kurs_django | c24aaf8f8a22a695b41e2436bf9bf4d1ca665079 | [
"MIT"
] | null | null | null | from django.contrib.contenttypes import fields
from django.shortcuts import render
from .forms import MessageForm, ContactForm
from django.views.generic import DetailView, ListView, FormView
| 29.8125 | 63 | 0.740042 |
289fb47f080457beca96ad6fa33ec1f46323cf2b | 6,506 | py | Python | commands/misc/settings.py | ii-Python/Prism | a404a61ddb16d045aa29d81908ce4ad80b24e24d | [
"MIT"
] | 6 | 2020-09-28T13:19:37.000Z | 2021-07-13T10:37:22.000Z | commands/misc/settings.py | BenjaminGotBanned/Prism | a404a61ddb16d045aa29d81908ce4ad80b24e24d | [
"MIT"
] | 2 | 2020-10-06T17:59:40.000Z | 2020-10-06T20:12:39.000Z | commands/misc/settings.py | BenjaminGotBanned/Prism | a404a61ddb16d045aa29d81908ce4ad80b24e24d | [
"MIT"
] | 3 | 2021-01-05T13:33:58.000Z | 2021-07-13T10:37:37.000Z | # Modules
import discord
from datetime import date
from discord import Embed
from json import loads, dumps
from assets.prism import Tools
from discord.ext import commands
# Main Command Class
# Link to bot
def setup(bot):
bot.add_cog(Settings(bot))
| 29.306306 | 196 | 0.527206 |
28a230764b88abf38e3cb6d2f0cf4df9e3778896 | 970 | py | Python | core/test.py | awesome-archive/muzero-pytorch | 2ff4ea145097050031d6026f0aa1a97de72d702d | [
"MIT"
] | null | null | null | core/test.py | awesome-archive/muzero-pytorch | 2ff4ea145097050031d6026f0aa1a97de72d702d | [
"MIT"
] | null | null | null | core/test.py | awesome-archive/muzero-pytorch | 2ff4ea145097050031d6026f0aa1a97de72d702d | [
"MIT"
] | null | null | null | import torch
from .mcts import MCTS, Node
from .utils import select_action
| 31.290323 | 93 | 0.565979 |
28a386192b68f112112b6e68f5293867934e803f | 167 | py | Python | demo/deep_learning/base/second_stage_bounding_box_prediction/dcn_feature_calibration.py | jihuacao/Putil | b753fc94bea4cbda00f483681c55f0e9f54adef2 | [
"Apache-2.0"
] | 1 | 2018-12-09T06:09:29.000Z | 2018-12-09T06:09:29.000Z | demo/deep_learning/base/second_stage_bounding_box_prediction/dcn_feature_calibration.py | jihuacao/Putil | b753fc94bea4cbda00f483681c55f0e9f54adef2 | [
"Apache-2.0"
] | null | null | null | demo/deep_learning/base/second_stage_bounding_box_prediction/dcn_feature_calibration.py | jihuacao/Putil | b753fc94bea4cbda00f483681c55f0e9f54adef2 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
import torch
| 20.875 | 60 | 0.712575 |
953703edf77bdad68e1e40c1a564d92c76b7a5a5 | 1,824 | pyde | Python | listing_70/listing_70.pyde | tiranderel/2019-fall-polytech-cs | 67f0482a0f143381f9b494a4348d6436ce8f8c1e | [
"MIT"
] | null | null | null | listing_70/listing_70.pyde | tiranderel/2019-fall-polytech-cs | 67f0482a0f143381f9b494a4348d6436ce8f8c1e | [
"MIT"
] | null | null | null | listing_70/listing_70.pyde | tiranderel/2019-fall-polytech-cs | 67f0482a0f143381f9b494a4348d6436ce8f8c1e | [
"MIT"
] | null | null | null | import math
ballArray_one=[]
ballArray_two=[]
| 26.057143 | 75 | 0.533991 |
953906e1815512ae7854e463509fe51bfa7374f8 | 1,340 | py | Python | src/carim_discord_bot/discord_client/member_count.py | schana/carim-discord-bot | c1f5e868404744667156af7ad6d244939998b5a2 | [
"Apache-2.0"
] | 14 | 2020-04-06T17:58:09.000Z | 2022-02-28T13:29:35.000Z | src/carim_discord_bot/discord_client/member_count.py | schana/carim-discord-bot | c1f5e868404744667156af7ad6d244939998b5a2 | [
"Apache-2.0"
] | 48 | 2020-04-05T11:24:10.000Z | 2021-03-10T08:12:19.000Z | src/carim_discord_bot/discord_client/member_count.py | schana/carim-discord-bot | c1f5e868404744667156af7ad6d244939998b5a2 | [
"Apache-2.0"
] | 12 | 2020-03-31T15:08:56.000Z | 2021-09-07T17:54:49.000Z | import asyncio
import logging
import discord
from carim_discord_bot import managed_service, config
from carim_discord_bot.discord_client import discord_service
log = logging.getLogger(__name__)
service = None
| 31.162791 | 102 | 0.698507 |
953acd7416847beb9014f4f513c188884ed30577 | 567 | py | Python | GAPullTest.py | wrashi/GAReport | b58fb1ef8a8984761ba417879aa52c4100c61a0b | [
"Unlicense"
] | null | null | null | GAPullTest.py | wrashi/GAReport | b58fb1ef8a8984761ba417879aa52c4100c61a0b | [
"Unlicense"
] | null | null | null | GAPullTest.py | wrashi/GAReport | b58fb1ef8a8984761ba417879aa52c4100c61a0b | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
from GAReport import GAReport
VIEW_ID = 'PutViewIDHere'
DIMENSIONS = ["Page", ]
METRICS = ["Pageviews", "Unique Pageviews", "Avg. Time on Page", "Entrances", "Bounce Rate", "% Exit", "Page Value"]
# Use these instructions for creating single and multiple filters: https://developers.google.com... | 43.615385 | 153 | 0.75485 |
953ca9b5b1450ae6da266d252be6ca5bb7c74e70 | 14,525 | py | Python | model.py | coolEphemeroptera/AESRC2020 | b64cdeeaaf74e8c1a741930b3a47dc8dcadca8de | [
"Apache-2.0"
] | 35 | 2020-09-26T13:40:16.000Z | 2022-03-22T19:42:20.000Z | model.py | coolEphemeroptera/ARNet | b64cdeeaaf74e8c1a741930b3a47dc8dcadca8de | [
"Apache-2.0"
] | 4 | 2021-04-10T13:05:52.000Z | 2022-03-14T03:22:32.000Z | model.py | coolEphemeroptera/ARNet | b64cdeeaaf74e8c1a741930b3a47dc8dcadca8de | [
"Apache-2.0"
] | 7 | 2020-09-26T15:52:45.000Z | 2021-06-11T05:05:23.000Z | from resnet import resnet18_,resnet34_,resnet50_,resnet101_, resnet152_
from keras.layers import Input, Dense, Lambda,Dropout,Conv2D,Activation,Bidirectional,GlobalAveragePooling1D,\
BatchNormalization,Reshape
from keras_layer_normalization import LayerNormalization
from keras.layers.cudnn_recurrent import CuDN... | 34.748804 | 112 | 0.497969 |
953d34fa43582a04419407658a07c6d2cffc68aa | 187 | py | Python | tests/strategies/__init__.py | lycantropos/rsrc_web | 6702840befa4fa70114ce10543144410b453aa30 | [
"MIT"
] | null | null | null | tests/strategies/__init__.py | lycantropos/rsrc_web | 6702840befa4fa70114ce10543144410b453aa30 | [
"MIT"
] | 4 | 2019-06-18T18:36:50.000Z | 2019-07-10T13:14:48.000Z | tests/strategies/__init__.py | lycantropos/rsrc_web | 6702840befa4fa70114ce10543144410b453aa30 | [
"MIT"
] | null | null | null | from .literals import booleans
from .models import (readable_web_streams,
web_streams,
writeable_web_streams)
from .paths import web_url_strings
| 31.166667 | 43 | 0.663102 |
953d79768caec877a768ca7a6b3a2fc0176266ec | 27,309 | py | Python | main.py | ruotianluo/neural-summ-cnndm-pytorch | 027b63107b748bc56356bd119b243cfdda684aa2 | [
"MIT"
] | 3 | 2018-10-22T23:03:40.000Z | 2018-10-23T09:45:32.000Z | main.py | ruotianluo/neural-summ-cnndm-pytorch | 027b63107b748bc56356bd119b243cfdda684aa2 | [
"MIT"
] | null | null | null | main.py | ruotianluo/neural-summ-cnndm-pytorch | 027b63107b748bc56356bd119b243cfdda684aa2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
cudaid = 0
os.environ["CUDA_VISIBLE_DEVICES"] = str(cudaid)
import sys
import time
import numpy as np
import cPickle as pickle
import copy
import random
from random import shuffle
import math
import torch
import torch.nn as nn
from torch.autograd import Variable
import data as datar... | 40.397929 | 211 | 0.587462 |
953e614df603a782bc861b2188ed97f796d8d6d2 | 471 | py | Python | openbook_posts/migrations/0016_auto_20190214_1525.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 164 | 2019-07-29T17:59:06.000Z | 2022-03-19T21:36:01.000Z | openbook_posts/migrations/0016_auto_20190214_1525.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 188 | 2019-03-16T09:53:25.000Z | 2019-07-25T14:57:24.000Z | openbook_posts/migrations/0016_auto_20190214_1525.py | TamaraAbells/okuna-api | f87d8e80d2f182c01dbce68155ded0078ee707e4 | [
"MIT"
] | 80 | 2019-08-03T17:49:08.000Z | 2022-02-28T16:56:33.000Z | # Generated by Django 2.1.5 on 2019-02-14 14:25
from django.db import migrations
import imagekit.models.fields
| 23.55 | 108 | 0.641189 |
953e8e8b09e196ff5d7362c6a2eeb02c08425111 | 15,517 | py | Python | blackjack.py | hackerboy9/blackjack | 1346642e353719ab68c0dc3573aa33b688431bf8 | [
"MIT"
] | null | null | null | blackjack.py | hackerboy9/blackjack | 1346642e353719ab68c0dc3573aa33b688431bf8 | [
"MIT"
] | 1 | 2020-10-25T10:16:37.000Z | 2020-10-25T10:16:37.000Z | blackjack.py | hackerboy9/blackjack | 1346642e353719ab68c0dc3573aa33b688431bf8 | [
"MIT"
] | 2 | 2017-07-16T08:00:29.000Z | 2020-10-06T14:48:18.000Z | from collections import MutableMapping, MutableSet, namedtuple
from operator import itemgetter
NULL = Node(None, None, None, False)
from unittest import TestCase
| 29.783109 | 82 | 0.566475 |
9540c7d295e0a61b349ecd6b4bc768783ff0138e | 45,052 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/linkOAM_template.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/linkOAM_template.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/linkOAM_template.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
| 43.319231 | 202 | 0.715551 |
954146cbdea7e57641fc5a1ec374f381deb7f479 | 3,967 | py | Python | memos/memos/users/forms.py | iotexpert/docmgr | 735c7bcbaeb73bc44efecffb175f268f2438ac3a | [
"MIT"
] | null | null | null | memos/memos/users/forms.py | iotexpert/docmgr | 735c7bcbaeb73bc44efecffb175f268f2438ac3a | [
"MIT"
] | null | null | null | memos/memos/users/forms.py | iotexpert/docmgr | 735c7bcbaeb73bc44efecffb175f268f2438ac3a | [
"MIT"
] | null | null | null | from flask import current_app
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from wtforms import StringField, PasswordField, SubmitField, BooleanField
from wtforms.validators import DataRequired, Length, Email, EqualTo, ValidationError
from flask_login import current_user
from memos.m... | 40.896907 | 98 | 0.659188 |
95419b554583bc803a43eac8c57ec34a913022a2 | 626 | py | Python | app/models/encryption.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | 6 | 2021-03-27T08:58:04.000Z | 2021-05-23T17:07:09.000Z | app/models/encryption.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | 2 | 2021-05-30T08:06:53.000Z | 2021-06-02T17:02:06.000Z | app/models/encryption.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | null | null | null | import rsa
| 31.3 | 106 | 0.693291 |
954332209f4c21416110fe7a318ebf31b6100c2e | 3,566 | py | Python | Terminal_Bot.py | Data-Alchemy/Unix_Automation | 3d5ee450e1b19f79509960f6d117c16fb8aa5313 | [
"Apache-2.0"
] | null | null | null | Terminal_Bot.py | Data-Alchemy/Unix_Automation | 3d5ee450e1b19f79509960f6d117c16fb8aa5313 | [
"Apache-2.0"
] | null | null | null | Terminal_Bot.py | Data-Alchemy/Unix_Automation | 3d5ee450e1b19f79509960f6d117c16fb8aa5313 | [
"Apache-2.0"
] | null | null | null | import paramiko,time,sys,json,os,pandas
########################################################################################################################
################################################### parms #############################################################
proxy = None
Port = 22
Username = open... | 37.93617 | 160 | 0.615536 |
95433e555cbe86270b9f0c26744b230b46b56f5a | 825 | py | Python | pnnl/models/__init__.py | rkini-pnnl/volttron-GS | 60055438446a060176381468757ad0ec339f2371 | [
"BSD-3-Clause"
] | 1 | 2021-08-05T04:01:55.000Z | 2021-08-05T04:01:55.000Z | pnnl/models/__init__.py | kevinatkinson-pnnl/volttron-GS | 479c614a6f7cd779fcc208e8e35d27d0961a16f8 | [
"BSD-3-Clause"
] | null | null | null | pnnl/models/__init__.py | kevinatkinson-pnnl/volttron-GS | 479c614a6f7cd779fcc208e8e35d27d0961a16f8 | [
"BSD-3-Clause"
] | null | null | null | import importlib
import logging
from volttron.platform.agent import utils
_log = logging.getLogger(__name__)
utils.setup_logging()
__version__ = "0.1"
__all__ = ['Model']
| 29.464286 | 73 | 0.65697 |
95446537feef632a16bbea1d71d8483703929711 | 826 | py | Python | src/cli.py | thisistrivial/cr-draft | 25defcf03466b044c28ad42661536e27b6df1222 | [
"MIT"
] | null | null | null | src/cli.py | thisistrivial/cr-draft | 25defcf03466b044c28ad42661536e27b6df1222 | [
"MIT"
] | null | null | null | src/cli.py | thisistrivial/cr-draft | 25defcf03466b044c28ad42661536e27b6df1222 | [
"MIT"
] | null | null | null |
import draft
import os
run()
| 22.944444 | 69 | 0.521792 |
9547e7b57fef282a81e3052edbdb2d34bb2cd61a | 222 | py | Python | src/honey.py | terror/golf | 9d38f8376c2ddbbb34360a3353ec6f4289736bd4 | [
"Unlicense"
] | null | null | null | src/honey.py | terror/golf | 9d38f8376c2ddbbb34360a3353ec6f4289736bd4 | [
"Unlicense"
] | null | null | null | src/honey.py | terror/golf | 9d38f8376c2ddbbb34360a3353ec6f4289736bd4 | [
"Unlicense"
] | null | null | null | # https://open.kattis.com/problems/honey
print(*(lambda x: [x[int(input())] for _ in range(int(input()))])([1, 0, 6, 12, 90, 360, 2040, 10080, 54810, 290640, 1588356, 8676360, 47977776, 266378112, 1488801600]), sep="\n")
| 55.5 | 179 | 0.657658 |
954b661a558c8d594bb41be0460c68998860e06c | 4,712 | py | Python | plaso/parsers/winreg_plugins/usbstor.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | 2 | 2016-02-18T12:46:29.000Z | 2022-03-13T03:04:59.000Z | plaso/parsers/winreg_plugins/usbstor.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | null | null | null | plaso/parsers/winreg_plugins/usbstor.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | 6 | 2016-12-18T08:05:36.000Z | 2021-04-06T14:19:11.000Z | # -*- coding: utf-8 -*-
"""File containing a Windows Registry plugin to parse the USBStor key."""
import logging
from plaso.events import windows_events
from plaso.lib import eventdata
from plaso.parsers import winreg
from plaso.parsers.winreg_plugins import interface
__author__ = 'David Nides (david.nides@gmail.co... | 39.266667 | 79 | 0.695034 |
9550103d22b0d4fa16de9bf491fa914c8ddf64fb | 4,877 | py | Python | musicbot/modules/default/helpmsg.py | oKidd/PrendeMusic | b66d54d93ed36587193c20b71201c4447d80ad85 | [
"MIT"
] | 5 | 2018-09-07T12:17:27.000Z | 2019-12-06T02:35:26.000Z | musicbot/modules/default/helpmsg.py | oKidd/PrendeMusic | b66d54d93ed36587193c20b71201c4447d80ad85 | [
"MIT"
] | null | null | null | musicbot/modules/default/helpmsg.py | oKidd/PrendeMusic | b66d54d93ed36587193c20b71201c4447d80ad85 | [
"MIT"
] | 2 | 2020-04-25T00:35:17.000Z | 2021-05-13T22:20:19.000Z | from collections import defaultdict
from discord.ext.commands import Cog, command
from discord.utils import get
from ...utils import check_restricted
from ... import exceptions
from ... import messagemanager
cogs = [Help] | 44.743119 | 204 | 0.568792 |
95515f6c6551928915064695c2fceeeba21d268c | 8,710 | py | Python | flatpak_update.py | willsALMANJ/flatpak_update | 84a8f59a11952a5daf57a18f0426b676f3a707c2 | [
"0BSD"
] | 1 | 2020-06-12T07:51:32.000Z | 2020-06-12T07:51:32.000Z | flatpak_update.py | willsALMANJ/flatpak_update | 84a8f59a11952a5daf57a18f0426b676f3a707c2 | [
"0BSD"
] | null | null | null | flatpak_update.py | willsALMANJ/flatpak_update | 84a8f59a11952a5daf57a18f0426b676f3a707c2 | [
"0BSD"
] | null | null | null | "Update a Flatpak repository for new versions of components"
import argparse
import asyncio
import datetime
from functools import total_ordering
import hashlib
from itertools import zip_longest
import json
from pathlib import Path
import re
import httpx
import jinja2
import yaml
GITHUB_DATE_FORMAT = "%Y-%m-%dT%H:%M:... | 30.138408 | 83 | 0.62721 |
955231e63fbff36ad8601f161f98440ad3a247cb | 1,746 | py | Python | base/env/test_processStrategy.py | stevenchen521/quant_ml | f7d5efc49c934724f97fcafacc560f4a35b24551 | [
"MIT"
] | 5 | 2019-02-14T03:12:22.000Z | 2022-01-24T18:43:07.000Z | base/env/test_processStrategy.py | stevenchen521/quant_ml | f7d5efc49c934724f97fcafacc560f4a35b24551 | [
"MIT"
] | null | null | null | base/env/test_processStrategy.py | stevenchen521/quant_ml | f7d5efc49c934724f97fcafacc560f4a35b24551 | [
"MIT"
] | 2 | 2019-11-13T18:56:13.000Z | 2021-12-31T01:25:22.000Z | from unittest import TestCase
import base.env.pre_process as pre_process
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from helper.util import get_attribute
from base.env.pre_process_conf import active_stragery, get_strategy_analyze
import base.env.pre_process
| 38.8 | 143 | 0.708477 |
9552f2a3d627a440738e08b8175d69d9667e0003 | 12,194 | py | Python | resources/lib/themoviedb/tmdb.py | bopopescu/ServerStatus | a883598248ad6f5273eb3be498e3b04a1fab6510 | [
"MIT"
] | null | null | null | resources/lib/themoviedb/tmdb.py | bopopescu/ServerStatus | a883598248ad6f5273eb3be498e3b04a1fab6510 | [
"MIT"
] | 1 | 2015-04-21T22:05:02.000Z | 2015-04-22T22:27:15.000Z | resources/lib/themoviedb/tmdb.py | GetSomeBlocks/Score_Soccer | a883598248ad6f5273eb3be498e3b04a1fab6510 | [
"MIT"
] | 2 | 2015-09-29T16:31:43.000Z | 2020-07-26T03:41:10.000Z | #!/usr/bin/env python2.5
#encoding:utf-8
#author:dbr/Ben
#project:themoviedb
#forked by ccjensen/Chris
#http://github.com/ccjensen/themoviedb
"""An interface to the themoviedb.org API
"""
__author__ = "dbr/Ben"
__version__ = "0.2b"
config = {}
config['apikey'] = "a8b9f96dde091408a03cb4c78477bd14"
config['urls'] = {... | 33.31694 | 142 | 0.586354 |
955351f42a772eb848c0ae2b75d5d28ba1ff2a00 | 3,033 | py | Python | mir3/lib/knn.py | pymir3/pymir3 | c1bcca66a5ef1ff0ebd6373e3820e72dee6b0b70 | [
"MIT"
] | 12 | 2015-08-03T12:41:11.000Z | 2020-08-18T07:55:23.000Z | mir3/lib/knn.py | pymir3/pymir3 | c1bcca66a5ef1ff0ebd6373e3820e72dee6b0b70 | [
"MIT"
] | 1 | 2015-05-27T18:47:20.000Z | 2015-05-27T18:47:20.000Z | mir3/lib/knn.py | pymir3/pymir3 | c1bcca66a5ef1ff0ebd6373e3820e72dee6b0b70 | [
"MIT"
] | 3 | 2016-03-18T03:30:02.000Z | 2018-07-05T02:29:16.000Z | import numpy
import numpy.linalg
def distance_sum(inputs, references):
"""Sum of all distances between inputs and references
Each element should be in a row!
"""
norms = numpy.zeros(inputs.shape[0])
for i in xrange(references.shape[0]):
norms += numpy.apply_along_axis(numpy.linalg.norm, 1... | 31.59375 | 81 | 0.567755 |
9553b680206d84c135ef2d6c3b9397a51e5c12a9 | 17,984 | py | Python | pysnmp/CABH-QOS2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CABH-QOS2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CABH-QOS2-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CABH-QOS2-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CABH-QOS2-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:26:31 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 201... | 145.032258 | 2,723 | 0.769462 |
9554b36b01a4be87039a97f47f4d8ef14a97ffe2 | 2,440 | py | Python | nasafree/views.py | luanmalaquias/projeto_api_nasa_django | 3441c404da821b4177571814014e89b0cff6a6b7 | [
"MIT"
] | null | null | null | nasafree/views.py | luanmalaquias/projeto_api_nasa_django | 3441c404da821b4177571814014e89b0cff6a6b7 | [
"MIT"
] | null | null | null | nasafree/views.py | luanmalaquias/projeto_api_nasa_django | 3441c404da821b4177571814014e89b0cff6a6b7 | [
"MIT"
] | null | null | null | from django.shortcuts import redirect, render
from .models import *
from datetime import date
from brain import ipfunc
| 34.366197 | 93 | 0.685246 |
9554dabbb9a81e2fbde331f2e40edcaa0f221585 | 805 | py | Python | bslparloursite/videolibrary/models.py | natfarleydev/thebslparlour | ebb2588282cdb2a977ec6c5f8d82cec4e8fd1f99 | [
"CC0-1.0"
] | 1 | 2016-01-06T23:13:11.000Z | 2016-01-06T23:13:11.000Z | bslparloursite/videolibrary/models.py | natfarleydev/thebslparlour | ebb2588282cdb2a977ec6c5f8d82cec4e8fd1f99 | [
"CC0-1.0"
] | 4 | 2021-03-18T20:15:04.000Z | 2021-06-10T17:52:31.000Z | bslparloursite/videolibrary/models.py | natfarleydev/thebslparlour | ebb2588282cdb2a977ec6c5f8d82cec4e8fd1f99 | [
"CC0-1.0"
] | null | null | null | from django.db import models
from django.utils import timezone
from sizefield.models import FileSizeField
# Create your models here.
| 29.814815 | 75 | 0.720497 |
9554ef14a15f7437ba6f8f9a2cf1620b9d8dfb4c | 1,681 | py | Python | location.py | TED-996/Nightshift | 3cc76af96c8e85e913be8c2f8f70564ea9d9f95d | [
"MIT"
] | null | null | null | location.py | TED-996/Nightshift | 3cc76af96c8e85e913be8c2f8f70564ea9d9f95d | [
"MIT"
] | null | null | null | location.py | TED-996/Nightshift | 3cc76af96c8e85e913be8c2f8f70564ea9d9f95d | [
"MIT"
] | null | null | null | import os.path
import json
from astral import Astral
appdata_folder = os.path.join(os.environ["LOCALAPPDATA"], "Nightshift")
| 28.982759 | 75 | 0.625223 |
95583195ca817a2531ead6462fb4ef3915b9a847 | 12,140 | py | Python | src/awkward1/operations/reducers.py | martindurant/awkward-1.0 | a3221ee1bab6551dd01d5dd07a1d2dc24fd02c38 | [
"BSD-3-Clause"
] | null | null | null | src/awkward1/operations/reducers.py | martindurant/awkward-1.0 | a3221ee1bab6551dd01d5dd07a1d2dc24fd02c38 | [
"BSD-3-Clause"
] | null | null | null | src/awkward1/operations/reducers.py | martindurant/awkward-1.0 | a3221ee1bab6551dd01d5dd07a1d2dc24fd02c38 | [
"BSD-3-Clause"
] | null | null | null | # BSD 3-Clause License; see https://github.com/jpivarski/awkward-1.0/blob/master/LICENSE
from __future__ import absolute_import
import numpy
import awkward1._util
import awkward1._connect._numpy
import awkward1.layout
import awkward1.operations.convert
### The following are not strictly reducers, but are defined in... | 48.174603 | 236 | 0.647117 |
9558fc73a95bcd6653e042be3bc2a2e8ae6c004c | 4,758 | py | Python | dotenv.py | ross-urban/django-dotenv | 16cbf7bb78571174bc5376c95c85b213857cb9f9 | [
"MIT"
] | null | null | null | dotenv.py | ross-urban/django-dotenv | 16cbf7bb78571174bc5376c95c85b213857cb9f9 | [
"MIT"
] | null | null | null | dotenv.py | ross-urban/django-dotenv | 16cbf7bb78571174bc5376c95c85b213857cb9f9 | [
"MIT"
] | 1 | 2021-02-16T15:37:18.000Z | 2021-02-16T15:37:18.000Z | import os
import re
import sys
import warnings
__version__ = '1.4.3'
line_re = re.compile(r"""
^
(?:export\s+)? # optional export
([\w\.]+) # key
(?:\s*=\s*|:\s+?) # separator
( # optional value begin
'(?:\'|[^'])*' # single quoted value
| ... | 31.72 | 78 | 0.481084 |
955b60084410969a08f97fe22aa1d69988088bf0 | 16,755 | py | Python | PsychoPy3 Experiments/ContrastDetection.py | mrhunsaker/ContrastDetection | bb058460c5f90119316d0637885cd47f7ca2a307 | [
"MIT"
] | null | null | null | PsychoPy3 Experiments/ContrastDetection.py | mrhunsaker/ContrastDetection | bb058460c5f90119316d0637885cd47f7ca2a307 | [
"MIT"
] | null | null | null | PsychoPy3 Experiments/ContrastDetection.py | mrhunsaker/ContrastDetection | bb058460c5f90119316d0637885cd47f7ca2a307 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This experiment was created using PsychoPy3 Experiment Builder (v2020.2.4post1),
on October 27, 2020, at 14:06
If you publish work using this script the most relevant publication is:
Peirce J, Gray JR, Simpson S, MacAskill M, Hchenberger R, Sogo H, Kastman E, L... | 43.861257 | 102 | 0.66607 |
955b6290b3f098708424dbec65825578b92645dc | 1,945 | py | Python | self_driving_desktop/grammar.py | wasimakh2/self-driving-desktop | 309b9b6614f8d3f2b85ed40c8e3cd9d72cd069a6 | [
"MIT"
] | 536 | 2019-05-08T02:54:27.000Z | 2022-03-24T10:02:07.000Z | self_driving_desktop/grammar.py | JonTheNiceGuy/self-driving-desktop | 309b9b6614f8d3f2b85ed40c8e3cd9d72cd069a6 | [
"MIT"
] | 17 | 2019-05-08T03:08:14.000Z | 2021-03-02T12:52:53.000Z | self_driving_desktop/grammar.py | JonTheNiceGuy/self-driving-desktop | 309b9b6614f8d3f2b85ed40c8e3cd9d72cd069a6 | [
"MIT"
] | 33 | 2019-05-08T03:50:56.000Z | 2021-12-08T11:22:29.000Z | grammar = r"""
start: (item ";")+
item: import | coords | playlist | step
import : "import" string
coords : "coords" coords_body
coords_body : "{" coord_def ("," coord_def)* "}"
coord_def: string ":" "{" coord_body ("," coord_body)* "}"
coord_body: string ":" "[" int "," int "]"
playlist : "playlist" string playli... | 19.45 | 58 | 0.682776 |
955dce71570249e6e13d912ac4f316735729f8a7 | 1,765 | py | Python | BB/conf.py | poco0317/BarinadeBot-Rewrite | 4f34246178ab2ee0fd4c0a79fff5a43adbed134c | [
"MIT"
] | 2 | 2021-05-06T09:07:44.000Z | 2021-05-11T23:45:38.000Z | BB/conf.py | poco0317/BarinadeBot-Rewrite | 4f34246178ab2ee0fd4c0a79fff5a43adbed134c | [
"MIT"
] | null | null | null | BB/conf.py | poco0317/BarinadeBot-Rewrite | 4f34246178ab2ee0fd4c0a79fff5a43adbed134c | [
"MIT"
] | null | null | null | import configparser
import os
import shutil
import traceback
| 41.046512 | 155 | 0.602833 |
955f1cf7d1a0592b32cf0c5abbfe0bb9060df419 | 2,805 | py | Python | geocamUtil/usng/convertUsngCsv.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 4 | 2017-03-03T16:24:24.000Z | 2018-06-24T05:50:40.000Z | geocamUtil/usng/convertUsngCsv.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 1 | 2021-09-29T17:17:30.000Z | 2021-09-29T17:17:30.000Z | geocamUtil/usng/convertUsngCsv.py | geocam/geocamUtilWeb | b64fc063c64b4b0baa140db4c126f2ff980756ab | [
"NASA-1.3"
] | 1 | 2017-12-19T20:45:53.000Z | 2017-12-19T20:45:53.000Z | #!/usr/bin/env python
# __BEGIN_LICENSE__
#Copyright (c) 2015, United States Government, as represented by the
#Administrator of the National Aeronautics and Space Administration.
#All rights reserved.
# __END_LICENSE__
"""
Takes as input a CSV file in the format:
37 46 29.2080,-122 25 08.1336,San Francisco
37 27 1... | 30.824176 | 92 | 0.624242 |
955fa29268924998ee2dd6306f368b16b34e2595 | 478 | py | Python | process_cifar10.py | IIGROUP/AttentionProbe | b2c88b064452741a7ccc6660a4b090743013cc73 | [
"MIT"
] | 11 | 2022-01-23T15:09:09.000Z | 2022-03-18T10:27:04.000Z | process_cifar10.py | Wang-jiahao/AttentionProbe | 41a3cc0d5454ec5bba78c3dace9cded00da8cff9 | [
"MIT"
] | null | null | null | process_cifar10.py | Wang-jiahao/AttentionProbe | 41a3cc0d5454ec5bba78c3dace9cded00da8cff9 | [
"MIT"
] | null | null | null | from torchvision.datasets import CIFAR10
from torchvision.datasets import CIFAR100
import os
root = '/database/cifar10/'
from PIL import Image
dataset_train = CIFAR10(root)
for k, (img, label) in enumerate(dataset_train):
print('processsing' + str(k))
if not os.path.exists(root + 'CIFAR10_image/' + ... | 31.866667 | 75 | 0.650628 |
955fe4376191cdb0e3d9522af865a55375090411 | 246 | py | Python | examples/fullproject/items/user.py | cnkailyn/toapi | 03a49d02dd0a55f1f83270154144e1a08fae6b78 | [
"Apache-2.0"
] | null | null | null | examples/fullproject/items/user.py | cnkailyn/toapi | 03a49d02dd0a55f1f83270154144e1a08fae6b78 | [
"Apache-2.0"
] | null | null | null | examples/fullproject/items/user.py | cnkailyn/toapi | 03a49d02dd0a55f1f83270154144e1a08fae6b78 | [
"Apache-2.0"
] | 1 | 2019-11-12T20:15:50.000Z | 2019-11-12T20:15:50.000Z | from toapi import Item, XPath
| 22.363636 | 50 | 0.536585 |
95620b3f160fc0fb6d0c0896e86c4e7d56432d0b | 722 | py | Python | src/tests/test_fail.py | bspeagle/py_git_diff | 1674afc1dfac0408372e11945f4a36b297b77e66 | [
"MIT"
] | null | null | null | src/tests/test_fail.py | bspeagle/py_git_diff | 1674afc1dfac0408372e11945f4a36b297b77e66 | [
"MIT"
] | null | null | null | src/tests/test_fail.py | bspeagle/py_git_diff | 1674afc1dfac0408372e11945f4a36b297b77e66 | [
"MIT"
] | null | null | null | '''
Failure tests
'''
import os
from typing import Any
import pytest
from helpers.github import API
api = API()
pass_token = Any
fail_token = os.getenv('FAIL_TOKEN')
fail_org = os.getenv('FAIL_ORG')
fail_repo = os.getenv('FAIL_REPO')
def test_fail_auth():
'''
Fail 'auth' to Github
'''
with pytest.r... | 16.044444 | 39 | 0.649584 |
9562440f3dc7a8e571a4195021e3f9febc5d8b84 | 3,042 | py | Python | tutorials/mechanisms/tutorial_convenience_inhibition.py | AQ18/skimpy | 435fc50244f2ca815bbb39d525a82a4692f5c0ac | [
"Apache-2.0"
] | 13 | 2020-11-05T10:59:13.000Z | 2022-03-21T01:38:31.000Z | tutorials/mechanisms/tutorial_convenience_inhibition.py | AQ18/skimpy | 435fc50244f2ca815bbb39d525a82a4692f5c0ac | [
"Apache-2.0"
] | 4 | 2022-01-27T10:23:40.000Z | 2022-03-10T18:16:06.000Z | tutorials/mechanisms/tutorial_convenience_inhibition.py | AQ18/skimpy | 435fc50244f2ca815bbb39d525a82a4692f5c0ac | [
"Apache-2.0"
] | 6 | 2020-08-04T17:01:33.000Z | 2022-03-21T01:38:32.000Z | # -*- coding: utf-8 -*-
"""
.. module:: skimpy
:platform: Unix, Windows
:synopsis: Simple Kinetic Models in Python
.. moduleauthor:: SKiMPy team
[---------]
Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB),
Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
Licensed under the ... | 29.25 | 87 | 0.610782 |
9564a1cacc7687a8261fe339aaf329a5f5fa587d | 825 | py | Python | advanced-python/05_advanced_classes_and_objects/enums.py | alexprodan99/python-workspace | 8c805afc29fafe3916759d1cf07e597f945b8b45 | [
"MIT"
] | null | null | null | advanced-python/05_advanced_classes_and_objects/enums.py | alexprodan99/python-workspace | 8c805afc29fafe3916759d1cf07e597f945b8b45 | [
"MIT"
] | null | null | null | advanced-python/05_advanced_classes_and_objects/enums.py | alexprodan99/python-workspace | 8c805afc29fafe3916759d1cf07e597f945b8b45 | [
"MIT"
] | null | null | null |
from enum import Enum, unique, auto
if __name__ == '__main__':
main() | 27.5 | 152 | 0.641212 |
9566a5fe7dd2b6c92ef1c6e1f73143b039776af9 | 3,313 | py | Python | detector/detector.py | suhendaragung20/Object-Detection-Metrics | e756c9ba20ff1e89143c64e6d38288d2a8680f0e | [
"MIT"
] | null | null | null | detector/detector.py | suhendaragung20/Object-Detection-Metrics | e756c9ba20ff1e89143c64e6d38288d2a8680f0e | [
"MIT"
] | null | null | null | detector/detector.py | suhendaragung20/Object-Detection-Metrics | e756c9ba20ff1e89143c64e6d38288d2a8680f0e | [
"MIT"
] | null | null | null |
# Import packages
import os
import cv2
import numpy as np
import tensorflow as tf
import sys
from imutils.object_detection import non_max_suppression
# This is needed since the notebook is stored in the object_detection folder.
sys.path.append("..")
# Import utilites
from utils import label_map_util
| 37.224719 | 107 | 0.690915 |
9566c8358fb6d074b645539d82fffd8a430711c8 | 1,770 | py | Python | processDiscoveryNews4chat.py | data-henrik/watson-chatbot-discovery-news | d63d579718d4fc529af29bb413c73fdbd9b52361 | [
"Apache-2.0"
] | 3 | 2019-05-03T20:28:45.000Z | 2019-06-28T09:58:25.000Z | processDiscoveryNews4chat.py | psaupsau/watson-chatbot-discovery-news | d63d579718d4fc529af29bb413c73fdbd9b52361 | [
"Apache-2.0"
] | null | null | null | processDiscoveryNews4chat.py | psaupsau/watson-chatbot-discovery-news | d63d579718d4fc529af29bb413c73fdbd9b52361 | [
"Apache-2.0"
] | 4 | 2019-04-25T16:49:47.000Z | 2020-07-02T15:27:05.000Z | # Handle client-side action for an IBM Watson Assistant chatbot
#
# The code requires my Watson Conversation Tool. For details see
# https://github.com/data-henrik/watson-conversation-tool
#
#
# Setup: Configure your credentials
# - for Watson Assistant see instructions for the tool
# - for Discovery change username / ... | 35.4 | 95 | 0.714124 |
9566fa933abad53d06086af6a6e451a81990671d | 2,977 | py | Python | test_scripts/test_residual_solver_dynamic.py | JoZimmer/ParOptBeam | 50d15d8d822a2718f2932807e06c4a7e02f866a3 | [
"BSD-3-Clause"
] | 1 | 2021-04-09T14:08:20.000Z | 2021-04-09T14:08:20.000Z | test_scripts/test_residual_solver_dynamic.py | JoZimmer/ParOptBeam | 50d15d8d822a2718f2932807e06c4a7e02f866a3 | [
"BSD-3-Clause"
] | 2 | 2021-04-28T15:05:01.000Z | 2021-11-10T15:12:56.000Z | test_scripts/test_residual_solver_dynamic.py | JoZimmer/ParOptBeam | 50d15d8d822a2718f2932807e06c4a7e02f866a3 | [
"BSD-3-Clause"
] | 2 | 2021-02-01T08:49:45.000Z | 2021-08-10T02:07:36.000Z | import numpy as np
import matplotlib.pyplot as plt
from cycler import cycler
from source.solving_strategies.strategies.residual_based_newton_raphson_solver import ResidualBasedNewtonRaphsonSolver
from source.solving_strategies.strategies.residual_based_picard_solver import ResidualBasedPicardSolver
from source.model.s... | 34.616279 | 118 | 0.566006 |
9567e6ba5dc9af36046c391fbc5d4e1144009cc8 | 378 | py | Python | objects/regex_deleter.py | Egor2005l/cho | c7cb165394089b277be5c306edde0b8fb42e466d | [
"MIT"
] | null | null | null | objects/regex_deleter.py | Egor2005l/cho | c7cb165394089b277be5c306edde0b8fb42e466d | [
"MIT"
] | null | null | null | objects/regex_deleter.py | Egor2005l/cho | c7cb165394089b277be5c306edde0b8fb42e466d | [
"MIT"
] | null | null | null | from typing import Dict
from objects.base import BaseModel
| 19.894737 | 38 | 0.531746 |
95697b5d755424cb46ff8e11e52fcff72a602bf4 | 639 | py | Python | cartridge_external_payment/admin.py | thomasWajs/cartridge-external-payment | 02c1c2b43504a17547a908622c3d54a331945c77 | [
"BSD-2-Clause"
] | 7 | 2015-02-14T20:25:27.000Z | 2021-04-10T16:05:00.000Z | cartridge_external_payment/admin.py | thomasWajs/cartridge-external-payment | 02c1c2b43504a17547a908622c3d54a331945c77 | [
"BSD-2-Clause"
] | 2 | 2015-11-30T17:54:19.000Z | 2016-09-09T21:21:01.000Z | cartridge_external_payment/admin.py | thomasWajs/cartridge-external-payment | 02c1c2b43504a17547a908622c3d54a331945c77 | [
"BSD-2-Clause"
] | 3 | 2015-10-19T15:22:18.000Z | 2017-11-13T23:22:17.000Z | from copy import deepcopy
from django.contrib import admin
from cartridge.shop.admin import OrderAdmin
from cartridge.shop.models import Order
order_fieldsets = deepcopy(admin.site._registry[Order].fieldsets)
order_fieldsets[2][1]["fields"] = list(order_fieldsets[2][1]["fields"])
order_fieldsets[2][1]["fields"].ins... | 33.631579 | 74 | 0.748044 |
9569b1f581ecb174ee905898df207343952c8b6e | 1,483 | py | Python | webeditor/app/attrdict.py | lshen1120/web-editor | 170ac96b47bf957a3a42a99092e45e88e584c49a | [
"Apache-2.0"
] | 4 | 2018-07-25T03:57:08.000Z | 2018-07-25T06:34:59.000Z | webeditor/app/attrdict.py | lshen1120/web-editor | 170ac96b47bf957a3a42a99092e45e88e584c49a | [
"Apache-2.0"
] | null | null | null | webeditor/app/attrdict.py | lshen1120/web-editor | 170ac96b47bf957a3a42a99092e45e88e584c49a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import copy
| 26.017544 | 68 | 0.574511 |
956a1d409e8bf27f1eb1d39023f7ad436c2f2c6c | 16,034 | py | Python | EVeP/EVeP.py | amandaortega/EVeP | 4bca562c814210b1d835e9be63ab80385c93320b | [
"MIT"
] | null | null | null | EVeP/EVeP.py | amandaortega/EVeP | 4bca562c814210b1d835e9be63ab80385c93320b | [
"MIT"
] | null | null | null | EVeP/EVeP.py | amandaortega/EVeP | 4bca562c814210b1d835e9be63ab80385c93320b | [
"MIT"
] | null | null | null | """
Author: Amanda Ortega de Castro Ayres
Created in: September 19, 2019
Python version: 3.6
"""
from Least_SRMTL import Least_SRMTL
import libmr
from matplotlib import pyplot, cm
from matplotlib.patches import Circle
from mpl_toolkits.mplot3d import Axes3D, art3d
import numpy as np
import numpy.matlib
impo... | 40.489899 | 247 | 0.591493 |
956c1145058b098a2e217c047220f62e14dea6e3 | 5,375 | py | Python | bigml/modelfields.py | alanponce/python | 9423b4c4968b81ee14cef1ab6cd62d23dfa8bd26 | [
"Apache-2.0"
] | 1 | 2021-06-20T11:51:22.000Z | 2021-06-20T11:51:22.000Z | bigml/modelfields.py | alanponce/python | 9423b4c4968b81ee14cef1ab6cd62d23dfa8bd26 | [
"Apache-2.0"
] | null | null | null | bigml/modelfields.py | alanponce/python | 9423b4c4968b81ee14cef1ab6cd62d23dfa8bd26 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#!/usr/bin/env python
#
# Copyright 2013-2016 BigML
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 37.852113 | 77 | 0.596279 |
956d8de300f81dc8c0786d5a4d8868b85762da6f | 16,229 | py | Python | networks/infill/func_intersect_ub.py | LArbys/ublarcvserver | 02381c937f49a2eab2f754017ab431c3f6fa70d7 | [
"Apache-2.0"
] | 2 | 2020-07-09T19:34:03.000Z | 2021-06-21T23:09:23.000Z | networks/larflow/models/func_intersect_ub.py | LArbys/ublarcvserver | 02381c937f49a2eab2f754017ab431c3f6fa70d7 | [
"Apache-2.0"
] | null | null | null | networks/larflow/models/func_intersect_ub.py | LArbys/ublarcvserver | 02381c937f49a2eab2f754017ab431c3f6fa70d7 | [
"Apache-2.0"
] | null | null | null | import os,time
import torch
from larcv import larcv
import numpy as np
import ROOT as rt
from array import array
if __name__=="__main__":
device = torch.device("cuda:0")
#device = torch.device("cpu")
IntersectUB.load_intersection_data()
IntersectUB.set_img_dims(512,832)
IntersectUB.print_interse... | 48.735736 | 182 | 0.644217 |
956dfd3898d4db0373cc4caa6c858737d336c6e2 | 3,270 | py | Python | simple_api/object/permissions.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | 1 | 2021-02-24T22:14:59.000Z | 2021-02-24T22:14:59.000Z | simple_api/object/permissions.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | null | null | null | simple_api/object/permissions.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | null | null | null | from inspect import isclass
| 34.0625 | 119 | 0.663609 |
95728ec4185daad9b5e30451603845ad35ca972b | 290 | py | Python | Desafios/MODULO 1/Desafio 12.py | deneyjunior/python-mundos-cev | 4bc82bf0630f65cf66e5442ae57b72fd4b0207fc | [
"MIT"
] | null | null | null | Desafios/MODULO 1/Desafio 12.py | deneyjunior/python-mundos-cev | 4bc82bf0630f65cf66e5442ae57b72fd4b0207fc | [
"MIT"
] | null | null | null | Desafios/MODULO 1/Desafio 12.py | deneyjunior/python-mundos-cev | 4bc82bf0630f65cf66e5442ae57b72fd4b0207fc | [
"MIT"
] | null | null | null | # Faa um algoritmo que leia o preo de um produto e mostre o novo preo com um desconto.
preco = float(input('Digite o preo atual do produto: R$ '))
desconto = float(input('Digite o valor do desconto (0.X): '))
novopreco = preco * desconto
print('O novo preo R$ {}.'.format(novopreco)) | 58 | 89 | 0.713793 |
957446e0b2daddda7b2cb6fdb76915dc45c186cf | 1,188 | py | Python | test.py | Ericqle/Senior-Design-Project | aa8e2134b26aef151d3736d306a4fbc9fe69790e | [
"MIT"
] | null | null | null | test.py | Ericqle/Senior-Design-Project | aa8e2134b26aef151d3736d306a4fbc9fe69790e | [
"MIT"
] | null | null | null | test.py | Ericqle/Senior-Design-Project | aa8e2134b26aef151d3736d306a4fbc9fe69790e | [
"MIT"
] | null | null | null | from draw_control import DrawControl
if __name__ == '__main__':
zotter = DrawControl()
test = input("track, rail, pen, hor, ver, diag: ")
while(test):
if test == "track":
dir_in = input('dir step: ')
dir = dir_in.split(" ")
zotter.track.spin_fixed_step(int(dir[... | 29.7 | 84 | 0.505051 |
95770242fba26f6f07dd35c5f3e789a8b70b5318 | 2,961 | py | Python | fcos/datasets/cityscapes.py | rosshemsley/fcos | de30bb2c78df54cae6814282c7166beed333d34c | [
"MIT"
] | 5 | 2020-08-02T11:03:25.000Z | 2021-12-12T19:37:09.000Z | fcos/datasets/cityscapes.py | rosshemsley/fcos | de30bb2c78df54cae6814282c7166beed333d34c | [
"MIT"
] | null | null | null | fcos/datasets/cityscapes.py | rosshemsley/fcos | de30bb2c78df54cae6814282c7166beed333d34c | [
"MIT"
] | 1 | 2021-03-05T12:19:48.000Z | 2021-03-05T12:19:48.000Z | import pathlib
import logging
from torch import nn
import numpy as np
import torch
import torch.functional as F
import torchvision.transforms as T
from torch.utils.data import Dataset
from torchvision.datasets.cityscapes import Cityscapes
import cv2
from torchvision.transforms import ToPILImage
from torch.utils.data ... | 24.882353 | 90 | 0.628842 |
957893734aaf183904dce73b5e054520162c5d69 | 11,838 | py | Python | flask_jquery/app.py | lmj0328/SocialMediaReport | 555aa3551844b5ee67bcf9296d574fd99977982d | [
"MIT"
] | 1 | 2021-02-28T05:01:37.000Z | 2021-02-28T05:01:37.000Z | flask_jquery/app.py | lmj0328/SocialMediaReport | 555aa3551844b5ee67bcf9296d574fd99977982d | [
"MIT"
] | null | null | null | flask_jquery/app.py | lmj0328/SocialMediaReport | 555aa3551844b5ee67bcf9296d574fd99977982d | [
"MIT"
] | 1 | 2020-03-12T02:08:10.000Z | 2020-03-12T02:08:10.000Z | from flask import Flask, render_template, request, jsonify
from flask import request
from flask import Response
from flask import url_for
from flask import jsonify
import GetOldTweets3 as got
import pandas as pd
import datetime
import numpy as np
import requests
import json
from pyquery import PyQuery as pq
app = Fla... | 41.391608 | 755 | 0.598496 |