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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72395e4c87b9f1d8044b25a00bbab7ea6fe4633a | 337 | py | Python | tests/graphql/readme_forum/readme_forum_permissions/models.py | karlosss/simple_api | 03f87035c648f161d5e7a59b24f4e04bd34399f1 | [
"MIT"
] | 2 | 2020-11-13T14:00:06.000Z | 2020-12-19T11:50:22.000Z | tests/graphql/readme_forum/readme_forum_permissions/models.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | 5 | 2021-02-04T14:27:43.000Z | 2021-06-04T23:22:24.000Z | tests/graphql/readme_forum/readme_forum_permissions/models.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | 1 | 2021-01-06T13:54:38.000Z | 2021-01-06T13:54:38.000Z | from django.contrib.auth.models import User
from django.db.models import Model, CharField, TextField, ForeignKey, CASCADE
class Post(Model):
title = CharField(max_length=50)
author = ForeignKey(User, on_delete=CASCADE)
content = TextField()
def __str__(self):
return "{} by {}".format(self.tit... | 28.083333 | 77 | 0.712166 | 212 | 0.62908 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.029674 |
723b9095a8d15e2c9c1b3f5d5be4c81a6f6e858e | 2,304 | py | Python | streamlit_app.py | fhebal/nlp-medical-notes | f1fed9e34ba47da14220b5719f28c1e720302f45 | [
"MIT"
] | null | null | null | streamlit_app.py | fhebal/nlp-medical-notes | f1fed9e34ba47da14220b5719f28c1e720302f45 | [
"MIT"
] | null | null | null | streamlit_app.py | fhebal/nlp-medical-notes | f1fed9e34ba47da14220b5719f28c1e720302f45 | [
"MIT"
] | null | null | null | import streamlit as st
import yaml
from load_css import local_css
import tensorflow as tf
import tensorflow_hub as hub
import tensorflow_text as text
import numpy as np
from random import sample
import os
local_css("style.css")
prediction_key = {
0:'Gastroenterology',
1:'Neurology',
2:'Orthope... | 29.538462 | 126 | 0.647569 | 382 | 0.165799 | 0 | 0 | 0 | 0 | 0 | 0 | 512 | 0.222222 |
723d7e8a6d6158d63e1b5536dbcf3fd946d29dec | 2,440 | py | Python | tests/test_functions.py | aerial-defence/pytak | e20c2dedfee88489bf21ad931970c2cb982d72ed | [
"Apache-2.0"
] | null | null | null | tests/test_functions.py | aerial-defence/pytak | e20c2dedfee88489bf21ad931970c2cb982d72ed | [
"Apache-2.0"
] | null | null | null | tests/test_functions.py | aerial-defence/pytak | e20c2dedfee88489bf21ad931970c2cb982d72ed | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Python Team Awareness Kit (PyTAK) Module Tests."""
import asyncio
import urllib
import pytest
import pytak
__author__ = 'Greg Albrecht W2GMD <[email protected]>'
__copyright__ = 'Copyright 2022 Greg Albrecht'
__license__ = 'Apache License, Version 2.0'
def test_parse_c... | 29.047619 | 73 | 0.702049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 554 | 0.227049 |
723d802339794483e5614abac1a27413e8db4aa8 | 1,054 | py | Python | tests/test_aoc_day_02.py | ladokp/AdventOfCode2021 | 03f8b9f8579ae562d5f2784a131370a32ed19f8b | [
"BSD-2-Clause"
] | null | null | null | tests/test_aoc_day_02.py | ladokp/AdventOfCode2021 | 03f8b9f8579ae562d5f2784a131370a32ed19f8b | [
"BSD-2-Clause"
] | null | null | null | tests/test_aoc_day_02.py | ladokp/AdventOfCode2021 | 03f8b9f8579ae562d5f2784a131370a32ed19f8b | [
"BSD-2-Clause"
] | null | null | null | # test_aoc_day_02.py
import pytest
import solution.aoc_day_02 as aoc
@pytest.fixture
def test_solution():
return aoc.AocSolution(test_suffix="_test")
@pytest.fixture
def exercise_solution():
return aoc.AocSolution()
def test_parse_test_solution(test_solution):
"""Test that input is parsed properly"""... | 22.425532 | 52 | 0.683112 | 0 | 0 | 0 | 0 | 153 | 0.145161 | 0 | 0 | 266 | 0.252372 |
723e3c60c657572c4703c5d71bdcbccb656fe914 | 18,265 | py | Python | src/elora/elora.py | morelandjs/elora | e902c40d66b0bf95a8d2374afa0cc165b87c9b82 | [
"MIT"
] | 1 | 2021-07-26T20:36:32.000Z | 2021-07-26T20:36:32.000Z | src/elora/elora.py | morelandjs/elora | e902c40d66b0bf95a8d2374afa0cc165b87c9b82 | [
"MIT"
] | null | null | null | src/elora/elora.py | morelandjs/elora | e902c40d66b0bf95a8d2374afa0cc165b87c9b82 | [
"MIT"
] | null | null | null | from operator import add, sub
import numpy as np
from scipy.stats import norm
class Elora:
def __init__(self, times, labels1, labels2, values, biases=0):
"""
Elo regressor algorithm for paired comparison time series prediction
Author: J. Scott Moreland
Args:
times (a... | 36.750503 | 80 | 0.594854 | 18,187 | 0.995512 | 0 | 0 | 417 | 0.022826 | 0 | 0 | 8,791 | 0.481198 |
723f049018f7dbaf5f55c465cf88ce5aa8c8ec4d | 48 | py | Python | atcoder/abc179/a.py | sugitanishi/competitive-programming | 51af65fdce514ece12f8afbf142b809d63eefb5d | [
"MIT"
] | null | null | null | atcoder/abc179/a.py | sugitanishi/competitive-programming | 51af65fdce514ece12f8afbf142b809d63eefb5d | [
"MIT"
] | null | null | null | atcoder/abc179/a.py | sugitanishi/competitive-programming | 51af65fdce514ece12f8afbf142b809d63eefb5d | [
"MIT"
] | null | null | null | s=input()
print(s+'s' if s[-1]!='s' else s+'es') | 24 | 38 | 0.520833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.208333 |
723fcadfa719088f86b59d8093c6f9655d115794 | 48,147 | py | Python | steady_cell_phenotype/poly.py | knappa/steadycellphenotype | b033f01ebc1fa062d310296f19f2f11b484cb557 | [
"MIT"
] | 1 | 2021-12-13T22:20:19.000Z | 2021-12-13T22:20:19.000Z | steady_cell_phenotype/poly.py | knappa/steadycellphenotype | b033f01ebc1fa062d310296f19f2f11b484cb557 | [
"MIT"
] | 5 | 2021-04-07T01:47:19.000Z | 2021-11-17T01:46:19.000Z | steady_cell_phenotype/poly.py | knappa/steadycellphenotype | b033f01ebc1fa062d310296f19f2f11b484cb557 | [
"MIT"
] | null | null | null | from __future__ import annotations
import operator
from enum import Enum
from itertools import product
from typing import Dict, Union
import numpy as np
class Operation(Enum):
PLUS = 'PLUS'
MINUS = 'MINUS'
TIMES = 'TIMES'
EXP = 'EXP'
MAX = 'MAX'
MIN = 'MIN'
CONT = 'CONT'
NOT = 'NOT'
... | 38.985425 | 117 | 0.577897 | 45,795 | 0.95115 | 0 | 0 | 343 | 0.007124 | 0 | 0 | 12,263 | 0.254699 |
72404631e2e0ae2fb28f9c18c6b107f7f88a83f4 | 23,165 | py | Python | django_tidb/features.py | killuminatixhr/django-tidb | 8de093dd7242fc70a5b9b5240711bef00722ff03 | [
"Apache-2.0"
] | 17 | 2021-07-30T17:02:53.000Z | 2021-12-10T02:28:59.000Z | django_tidb/features.py | killuminatixhr/django-tidb | 8de093dd7242fc70a5b9b5240711bef00722ff03 | [
"Apache-2.0"
] | 7 | 2021-08-02T09:56:27.000Z | 2022-03-23T03:36:07.000Z | django_tidb/features.py | killuminatixhr/django-tidb | 8de093dd7242fc70a5b9b5240711bef00722ff03 | [
"Apache-2.0"
] | 6 | 2021-07-30T10:04:15.000Z | 2022-03-29T05:44:37.000Z | # Copyright 2021 PingCAP, 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... | 55.286396 | 118 | 0.699763 | 22,492 | 0.970948 | 0 | 0 | 21,442 | 0.925621 | 0 | 0 | 15,536 | 0.670667 |
72404d3d39210b175e825c5b94b9e21a7e2698f1 | 421 | py | Python | src/combine_npy.py | hongli-ma/RNANetMotif | 34b4de443ec7edb59f4e4e06b17686543c438366 | [
"MIT"
] | null | null | null | src/combine_npy.py | hongli-ma/RNANetMotif | 34b4de443ec7edb59f4e4e06b17686543c438366 | [
"MIT"
] | null | null | null | src/combine_npy.py | hongli-ma/RNANetMotif | 34b4de443ec7edb59f4e4e06b17686543c438366 | [
"MIT"
] | null | null | null | import numpy as np
import sys
import glob
rbp=sys.argv[1]
kmer=sys.argv[2]
pfile_list=glob.glob("result_VDM3_"+rbp+"_positive_"+kmer+"_*.npy")
pfile1=np.load(pfile_list[0])
psha=np.shape(pfile1)
pmatrix=np.zeros(psha)
for pfile in pfile_list:
file=np.load(pfile)
# file=np.fromfile(pfile,dtype=np.float32)
p... | 23.388889 | 86 | 0.750594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.31829 |
7241a2c99b3dfd4732a6af0ad6cf19b2e1c6a517 | 1,238 | py | Python | fgvcdata/__init__.py | catalys1/fgvc-data-pytorch | e2666d011c71308c4975776fbc41e947424f0723 | [
"MIT"
] | 4 | 2020-07-05T10:19:20.000Z | 2021-09-15T08:22:36.000Z | fgvcdata/__init__.py | catalys1/fgvc-data-pytorch | e2666d011c71308c4975776fbc41e947424f0723 | [
"MIT"
] | 1 | 2020-11-13T22:01:47.000Z | 2020-11-13T22:01:47.000Z | fgvcdata/__init__.py | catalys1/fgvc-data-pytorch | e2666d011c71308c4975776fbc41e947424f0723 | [
"MIT"
] | null | null | null | '''A common interface to FGVC datasets.
Currently supported datasets are
- CUB Birds
- CUB Birds with expert labels
- NA Birds
- Stanford Cars
- Stanford Dogs
- Oxford Flowers
- Oxford FGVC Aircraft
- Tsinghua Dogs
Datasets are constructed and used following the pytorch
data.utils.data.Dataset paradigm, and have the ... | 29.47619 | 79 | 0.747981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 952 | 0.768982 |
72422e4892bc1b2767ffe8812f2e9e5e44e84b64 | 10,491 | py | Python | app/auth/api.py | Anti-Counter021/Anti-YouTube-back-end | eca9b26b4a1feb7e516c0164e86c5d6444af8db5 | [
"MIT"
] | null | null | null | app/auth/api.py | Anti-Counter021/Anti-YouTube-back-end | eca9b26b4a1feb7e516c0164e86c5d6444af8db5 | [
"MIT"
] | null | null | null | app/auth/api.py | Anti-Counter021/Anti-YouTube-back-end | eca9b26b4a1feb7e516c0164e86c5d6444af8db5 | [
"MIT"
] | null | null | null | from typing import List
from celery.result import AsyncResult
from fastapi import APIRouter, status, Depends, Form, UploadFile, File, Request, WebSocket
from fastapi.responses import RedirectResponse
from app.auth import service
from app.auth.models import User
from app.auth.permission import is_active
from app.auth.... | 29.304469 | 96 | 0.691354 | 0 | 0 | 0 | 0 | 9,708 | 0.925365 | 5,090 | 0.485178 | 1,417 | 0.135068 |
7242536c3707c16822eadee50c71c7b05cdd3796 | 7,768 | py | Python | concourse/steps/scan_container_images.py | jia-jerry/cc-utils | 01322d2acb7343c92138dcf0b6ac913b276525bc | [
"Apache-2.0"
] | null | null | null | concourse/steps/scan_container_images.py | jia-jerry/cc-utils | 01322d2acb7343c92138dcf0b6ac913b276525bc | [
"Apache-2.0"
] | null | null | null | concourse/steps/scan_container_images.py | jia-jerry/cc-utils | 01322d2acb7343c92138dcf0b6ac913b276525bc | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019 SAP SE or an SAP affiliate company. All rights reserved. This file is licensed
# under the Apache Software License, v. 2 except as noted otherwise in the LICENSE file
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Licens... | 36.299065 | 99 | 0.660788 | 3,806 | 0.489959 | 1,944 | 0.250257 | 382 | 0.049176 | 0 | 0 | 2,415 | 0.310891 |
72430bcb51d12558e07e88c7e1a6d221c05d6f85 | 647 | py | Python | py/cv/video.py | YodaEmbedding/experiments | 567c6a1c18fac2d951fe2af54aaa4917b7d529d2 | [
"MIT"
] | null | null | null | py/cv/video.py | YodaEmbedding/experiments | 567c6a1c18fac2d951fe2af54aaa4917b7d529d2 | [
"MIT"
] | null | null | null | py/cv/video.py | YodaEmbedding/experiments | 567c6a1c18fac2d951fe2af54aaa4917b7d529d2 | [
"MIT"
] | null | null | null | import cv2
import numpy as np
height = 500
width = 700
gray = np.zeros((height, width), dtype=np.uint8)
# fourcc = cv2.VideoWriter_fourcc(*"MJPG")
# filename = "output.avi"
fourcc = cv2.VideoWriter_fourcc(*"MP4V")
filename = "output.mp4"
writer = cv2.VideoWriter(
filename, fourcc, fps=30, frameSize=(width, height... | 24.884615 | 70 | 0.689335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.287481 |
72450375a565716f2e2d7e0a06b152a00332048e | 1,062 | py | Python | po/loginpage.py | imzengyang/datadrivertestexample | a37520c2f5f0ae6dfbcaaa371586ba7e98540537 | [
"MIT"
] | 1 | 2018-06-03T05:31:46.000Z | 2018-06-03T05:31:46.000Z | po/loginpage.py | imzengyang/datadrivertestexample | a37520c2f5f0ae6dfbcaaa371586ba7e98540537 | [
"MIT"
] | null | null | null | po/loginpage.py | imzengyang/datadrivertestexample | a37520c2f5f0ae6dfbcaaa371586ba7e98540537 | [
"MIT"
] | null | null | null |
from po.base import BasePage
from po.base import InvalidPageException
class LoginPage(BasePage):
_login_view_locator = ".active"
_login_name_selector = "#name"
_login_passwd_selector = "#pass"
_login_btn_selector = ".span-primary"
_login_error_msg_selector='.alert strong'
def __init__(self... | 33.1875 | 100 | 0.733522 | 990 | 0.932203 | 0 | 0 | 135 | 0.127119 | 0 | 0 | 251 | 0.236347 |
724561c601c848d5d6d0e629507abb99ee03ff0a | 1,329 | py | Python | app.py | jesseokeya/linkedin-scraper | 6b9d5af5167c8c936db63a855a9885728efbfeb5 | [
"MIT"
] | null | null | null | app.py | jesseokeya/linkedin-scraper | 6b9d5af5167c8c936db63a855a9885728efbfeb5 | [
"MIT"
] | 1 | 2020-01-04T19:33:58.000Z | 2021-09-07T15:03:03.000Z | app.py | jesseokeya/linkedin-scraper | 6b9d5af5167c8c936db63a855a9885728efbfeb5 | [
"MIT"
] | 1 | 2021-12-02T06:51:46.000Z | 2021-12-02T06:51:46.000Z | from lib import Scrape
from typing import List
from os import environ
def main():
seconds: int = 60
username: str = environ.get('EMAIL')
password: str = environ.get('PASSWORD')
# Navigates to Linkedin's website
scraper = Scrape()
# Takes in credentials to login into the url sepecified
scr... | 27.122449 | 74 | 0.678706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 628 | 0.472536 |
724593364a3fe88c699961a3b8ddb8f17f617e15 | 100 | py | Python | Loops/for_in.py | 1302580MK/Udemy_Python | c7aef0645ae15a954c2356ba96288deaa087fb32 | [
"MIT"
] | null | null | null | Loops/for_in.py | 1302580MK/Udemy_Python | c7aef0645ae15a954c2356ba96288deaa087fb32 | [
"MIT"
] | null | null | null | Loops/for_in.py | 1302580MK/Udemy_Python | c7aef0645ae15a954c2356ba96288deaa087fb32 | [
"MIT"
] | null | null | null | var1 = "hello world"
# left what you get from the right
for character in var1:
print(character) | 20 | 34 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.47 |
7247650bb946b4cd8155dc4709b0e70976c42ea4 | 546 | py | Python | forum/migrations/0003_auto_20190307_1825.py | AdityaJ42/DJ-Comps-Book-Exchange | 12bba45f016e1b708477c642c2595b7f15e3dcfc | [
"MIT"
] | null | null | null | forum/migrations/0003_auto_20190307_1825.py | AdityaJ42/DJ-Comps-Book-Exchange | 12bba45f016e1b708477c642c2595b7f15e3dcfc | [
"MIT"
] | null | null | null | forum/migrations/0003_auto_20190307_1825.py | AdityaJ42/DJ-Comps-Book-Exchange | 12bba45f016e1b708477c642c2595b7f15e3dcfc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.8 on 2019-03-07 12:55
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('forum', '0002_upvote'),
]
operations = [
m... | 24.818182 | 125 | 0.64652 | 355 | 0.650183 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.241758 |
724a427f96e1eeeba039df150a14e4acaeb34725 | 495 | py | Python | datahub/event/migrations/0018_move_to_metadata_trade_agreement.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 6 | 2019-12-02T16:11:24.000Z | 2022-03-18T10:02:02.000Z | datahub/event/migrations/0018_move_to_metadata_trade_agreement.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 1,696 | 2019-10-31T14:08:37.000Z | 2022-03-29T12:35:57.000Z | datahub/event/migrations/0018_move_to_metadata_trade_agreement.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 9 | 2019-11-22T12:42:03.000Z | 2021-09-03T14:25:05.000Z | # Generated by Django 3.1.7 on 2021-04-08 11:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('metadata', '0009_tradeagreement'),
('event', '0017_add_related_trade_agreement_fields'),
]
operations = [
migrations.AlterField(
... | 24.75 | 83 | 0.638384 | 402 | 0.812121 | 0 | 0 | 0 | 0 | 0 | 0 | 184 | 0.371717 |
724a51915fb64beb06bbeb6fa5488524f3f99f3f | 16,905 | py | Python | pbs/scripts/update_burn_dataOLD.py | jawaidm/pbs | 87f5c535c976d6a5eccbfbbf2073589b6e366d04 | [
"Apache-2.0"
] | null | null | null | pbs/scripts/update_burn_dataOLD.py | jawaidm/pbs | 87f5c535c976d6a5eccbfbbf2073589b6e366d04 | [
"Apache-2.0"
] | 12 | 2019-10-22T23:16:38.000Z | 2022-03-11T23:17:45.000Z | pbs/scripts/update_burn_dataOLD.py | jawaidm/pbs | 87f5c535c976d6a5eccbfbbf2073589b6e366d04 | [
"Apache-2.0"
] | 5 | 2019-12-19T06:18:42.000Z | 2022-01-07T01:16:18.000Z | ''' ----------------------------------------------------------------------------------------
This script will update the Prescribed Burn System's ePFP data according to txt input
files found in the relevant scripts folder.
It requires user input of the Corporate Executive Approval date, which it will then use
to set PR... | 47.089136 | 125 | 0.644898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,924 | 0.409583 |
724b92184d8f2e9819e55008805cce856be796bd | 4,012 | py | Python | learnware/algorithm/anomaly_detect/iforest.py | marvinren/aiops_gaussian_learnware | 47683546d6648a38bb71988c33f959cf7308376f | [
"Apache-2.0"
] | null | null | null | learnware/algorithm/anomaly_detect/iforest.py | marvinren/aiops_gaussian_learnware | 47683546d6648a38bb71988c33f959cf7308376f | [
"Apache-2.0"
] | null | null | null | learnware/algorithm/anomaly_detect/iforest.py | marvinren/aiops_gaussian_learnware | 47683546d6648a38bb71988c33f959cf7308376f | [
"Apache-2.0"
] | null | null | null | import numpy as np
from scipy.stats import binom
from sklearn.ensemble import IsolationForest
from sklearn.preprocessing import MinMaxScaler
from scipy.special import erf
from learnware.algorithm.anomaly_detect.base import BaseAnomalyDetect
class iForest(BaseAnomalyDetect):
def __init__(self, n_estimators=100,
... | 37.148148 | 79 | 0.598704 | 3,783 | 0.939176 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0.064052 |
724cda3b3a14ff18ab5608878c35ee486f9afa69 | 217 | py | Python | noxfile.py | rshnn/Practical-RL | f7688e224a342c7f67478f2c4cd6bb7b1a122205 | [
"MIT"
] | 3 | 2022-02-14T17:59:56.000Z | 2022-02-15T10:08:43.000Z | noxfile.py | rshnn/Practical-RL | f7688e224a342c7f67478f2c4cd6bb7b1a122205 | [
"MIT"
] | 21 | 2021-11-02T21:35:26.000Z | 2022-01-17T18:50:42.000Z | noxfile.py | rshnn/Practical-RL | f7688e224a342c7f67478f2c4cd6bb7b1a122205 | [
"MIT"
] | 2 | 2021-11-24T15:25:17.000Z | 2022-02-14T19:04:56.000Z | from nox import session
@session(reuse_venv=True)
def docs(session):
session.install("jupyter-book", "sphinx-sitemap", "jupyterbook-latex")
# we need _config.yml _toc.yml
session.run("jb", "build", ".")
| 24.111111 | 74 | 0.686636 | 0 | 0 | 0 | 0 | 190 | 0.875576 | 0 | 0 | 93 | 0.428571 |
724da380c925fd0be608bd11f30b6d426eb5746d | 27 | py | Python | megnet/data/__init__.py | abdalazizrashid/megnet | 8ad0fca246465bd57d66392f790c5310c610dfff | [
"BSD-3-Clause"
] | 367 | 2018-12-13T14:49:00.000Z | 2022-03-31T10:17:04.000Z | megnet/data/__init__.py | kdmsit/MEGNet | 4f3c76c6b99edcb41d52ae5e8ae9dc89956d33d1 | [
"MIT"
] | 162 | 2019-02-08T20:38:12.000Z | 2022-03-31T21:13:06.000Z | megnet/data/__init__.py | kdmsit/MEGNet | 4f3c76c6b99edcb41d52ae5e8ae9dc89956d33d1 | [
"MIT"
] | 119 | 2018-12-17T10:16:12.000Z | 2022-03-31T17:26:57.000Z | """
Data manipulations
"""
| 6.75 | 18 | 0.62963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.962963 |
7252008c26b1662083a1400694c806c34e33ed67 | 910 | py | Python | graviteeio_cli/lint/functions/length.py | gravitee-io/gravitee-cli | 8e3bf9f2c0c2873e0f6e67f8fcaf0d3b6c44b3ca | [
"Apache-2.0"
] | 12 | 2019-05-29T20:06:01.000Z | 2020-10-07T07:40:27.000Z | graviteeio_cli/lint/functions/length.py | gravitee-io/graviteeio-cli | 0e0069b00ce40813efc7d40142a6dc4b4ec7a261 | [
"Apache-2.0"
] | 41 | 2019-11-04T18:18:18.000Z | 2021-04-22T16:12:51.000Z | graviteeio_cli/lint/functions/length.py | gravitee-io/gravitee-cli | 8e3bf9f2c0c2873e0f6e67f8fcaf0d3b6c44b3ca | [
"Apache-2.0"
] | 6 | 2019-06-18T04:27:49.000Z | 2021-06-02T17:52:24.000Z | from graviteeio_cli.lint.types.function_result import FunctionResult
def length(value, **kwargs):
"""Count the length of a string an or array, the number of properties in an object, or a numeric value, and define minimum and/or maximum values."""
min = None
max = None
if "min" in kwargs and type(kwar... | 26 | 152 | 0.597802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 0.235165 |
a0c60f619b683347cb7cc9f4f6e9936af96f0dbd | 27,874 | py | Python | smartrecruiters_python_client/apis/analytics_api.py | roksela/smartrecruiters-python-client | 6d0849d173a3d6718b5f0769098f4c76857f637d | [
"MIT"
] | 5 | 2018-03-27T08:20:13.000Z | 2022-03-30T06:23:38.000Z | smartrecruiters_python_client/apis/analytics_api.py | roksela/smartrecruiters-python-client | 6d0849d173a3d6718b5f0769098f4c76857f637d | [
"MIT"
] | null | null | null | smartrecruiters_python_client/apis/analytics_api.py | roksela/smartrecruiters-python-client | 6d0849d173a3d6718b5f0769098f4c76857f637d | [
"MIT"
] | 2 | 2018-12-05T04:48:37.000Z | 2020-12-17T12:12:12.000Z | # coding: utf-8
"""
Unofficial python library for the SmartRecruiters API
The SmartRecruiters API provides a platform to integrate services or applications, build apps and create fully customizable career sites. It exposes SmartRecruiters functionality and allows to connect and build software enhancing it.
... | 44.10443 | 280 | 0.583052 | 27,222 | 0.976609 | 0 | 0 | 0 | 0 | 0 | 0 | 15,054 | 0.540073 |
a0c68d4449b586355649b08e113c775fd8d862f6 | 398 | py | Python | Timofei-Khirianov-2019/lesson_001/003_anketa.py | anklav24/Python-Education | 49ebcfabda1376390ee71e1fe321a51e33831f9e | [
"Apache-2.0"
] | null | null | null | Timofei-Khirianov-2019/lesson_001/003_anketa.py | anklav24/Python-Education | 49ebcfabda1376390ee71e1fe321a51e33831f9e | [
"Apache-2.0"
] | null | null | null | Timofei-Khirianov-2019/lesson_001/003_anketa.py | anklav24/Python-Education | 49ebcfabda1376390ee71e1fe321a51e33831f9e | [
"Apache-2.0"
] | null | null | null | name = input('Hello! What is your name? : ')
print('Nice to meet you,', name + '!')
print()
age = int(input('How old are you ' + name + '? : '))
print()
x = age + 1
print('А я думал тебе', x, end=' ')
if x >= 11 and x <= 19:
print('лет', end='')
elif x % 10 == 1:
print('год', end='')
elif x % 10 >= 2 and x %... | 19.9 | 52 | 0.502513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 151 | 0.35782 |
a0c69fd6e11617fc5f9eb586f7c2029856d0877b | 2,399 | py | Python | Technical_Indicators/rainbow_charts.py | vhn0912/Finance | 39cf49d4d778d322537531cee4ce3981cc9951f9 | [
"MIT"
] | 441 | 2020-04-22T02:21:19.000Z | 2022-03-29T15:00:24.000Z | Technical_Indicators/rainbow_charts.py | happydasch/Finance | 4f6c5ea8f60fb0dc3b965ffb9628df83c2ecef35 | [
"MIT"
] | 5 | 2020-07-06T15:19:58.000Z | 2021-07-23T18:32:29.000Z | Technical_Indicators/rainbow_charts.py | happydasch/Finance | 4f6c5ea8f60fb0dc3b965ffb9628df83c2ecef35 | [
"MIT"
] | 111 | 2020-04-21T11:40:39.000Z | 2022-03-20T07:26:17.000Z | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings("ignore")
import yfinance as yf
yf.pdr_override()
import datetime as dt
# input
symbol = 'AAPL'
start = dt.date.today() - dt.timedelta(days = 365*2)
end = dt.date.today()
# Read data
df = yf.download(symbol... | 36.348485 | 111 | 0.667361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 794 | 0.330971 |
a0c8d55fb37c691da19d42d22717e7769ad0fbbf | 1,670 | py | Python | UpWork_Projects/pdf_downloader.py | SurendraTamang/Web-Scrapping | 2bb60cce9010b4b68f5c11bf295940832bb5df50 | [
"MIT"
] | null | null | null | UpWork_Projects/pdf_downloader.py | SurendraTamang/Web-Scrapping | 2bb60cce9010b4b68f5c11bf295940832bb5df50 | [
"MIT"
] | null | null | null | UpWork_Projects/pdf_downloader.py | SurendraTamang/Web-Scrapping | 2bb60cce9010b4b68f5c11bf295940832bb5df50 | [
"MIT"
] | 1 | 2022-01-18T17:15:51.000Z | 2022-01-18T17:15:51.000Z | import requests
from urllib.request import urlopen
from urllib.request import urlretrieve
import cgi
import os.path
def retrive_file_name(url):
#url = 'https://material.ibear.pt/BTHorarios2019/FileGet.aspx?FileId=5601'
remotefile = urlopen(url)
blah = remotefile.info()['Content-Disposition']
_, params ... | 33.4 | 108 | 0.552096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.238323 |
a0cab7a3ae269edaac7fa1a7d902a54bd96a752d | 13,282 | py | Python | backend/app/vta/texdf/tex_df.py | megagonlabs/leam | f19830d4d6935bece7d163abbc533cfb4bc2e729 | [
"Apache-2.0"
] | 7 | 2020-09-14T07:03:51.000Z | 2022-01-13T10:11:53.000Z | backend/app/vta/texdf/tex_df.py | megagonlabs/leam | f19830d4d6935bece7d163abbc533cfb4bc2e729 | [
"Apache-2.0"
] | null | null | null | backend/app/vta/texdf/tex_df.py | megagonlabs/leam | f19830d4d6935bece7d163abbc533cfb4bc2e729 | [
"Apache-2.0"
] | 1 | 2020-09-07T22:26:27.000Z | 2020-09-07T22:26:27.000Z | import spacy
import json, os
import dill as pickle
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sqlalchemy import create_engine, select, MetaData, Table, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import ... | 37.840456 | 100 | 0.595844 | 12,568 | 0.946243 | 0 | 0 | 0 | 0 | 0 | 0 | 2,040 | 0.153591 |
a0cc5ea31e6d19f7b084b456d80ccf0e5baf6865 | 1,604 | py | Python | orders-api/orders_api/models.py | kelvinducray/fastapi-orders-api | 37176329f717adf8ad8749be4ed50f7c875b0cf5 | [
"MIT"
] | null | null | null | orders-api/orders_api/models.py | kelvinducray/fastapi-orders-api | 37176329f717adf8ad8749be4ed50f7c875b0cf5 | [
"MIT"
] | null | null | null | orders-api/orders_api/models.py | kelvinducray/fastapi-orders-api | 37176329f717adf8ad8749be4ed50f7c875b0cf5 | [
"MIT"
] | null | null | null | from uuid import uuid4
from sqlalchemy import Boolean, Column, DateTime, Integer, String
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from .database import Base
class Customers(Base):
__tablename__ = "customers"
id = Column(UUID(as_uuid=True), primary_key=True, de... | 27.655172 | 68 | 0.704489 | 763 | 0.475686 | 0 | 0 | 0 | 0 | 0 | 0 | 642 | 0.400249 |
a0cc745e3a8e279006b132f30ea4111764df2ce1 | 32,293 | py | Python | src/ID_meshes.py | faycalki/tainted-paths | 81cecf6c1fba903ec3b8043e22652d222892609d | [
"MIT"
] | 4 | 2019-09-26T21:34:32.000Z | 2021-11-18T19:31:15.000Z | src/ID_meshes.py | faycalki/tainted-paths | 81cecf6c1fba903ec3b8043e22652d222892609d | [
"MIT"
] | null | null | null | src/ID_meshes.py | faycalki/tainted-paths | 81cecf6c1fba903ec3b8043e22652d222892609d | [
"MIT"
] | null | null | null | mesh_pic_bandits = 0
mesh_pic_mb_warrior_1 = 1
mesh_pic_messenger = 2
mesh_pic_prisoner_man = 3
mesh_pic_prisoner_fem = 4
mesh_pic_prisoner_wilderness = 5
mesh_pic_siege_sighted = 6
mesh_pic_siege_sighted_fem = 7
mesh_pic_camp = 8
mesh_pic_payment = 9
mesh_pic_escape_1 = 10
mesh_pic_escape_1_fem = 11
mesh_pic_victory =... | 25.528063 | 58 | 0.843619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a0cc84ea1f11da3af87cb6aff03136b234f94184 | 30,936 | py | Python | q2_longitudinal/_vega.py | thermokarst/q2-longitudinal | 1967617214417b7097ce96e4a7dfdfbb5fd17faf | [
"BSD-3-Clause"
] | null | null | null | q2_longitudinal/_vega.py | thermokarst/q2-longitudinal | 1967617214417b7097ce96e4a7dfdfbb5fd17faf | [
"BSD-3-Clause"
] | null | null | null | q2_longitudinal/_vega.py | thermokarst/q2-longitudinal | 1967617214417b7097ce96e4a7dfdfbb5fd17faf | [
"BSD-3-Clause"
] | null | null | null | # ----------------------------------------------------------------------------
# Copyright (c) 2017-2018, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... | 33.699346 | 79 | 0.230185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,414 | 0.271981 |
a0ce075406a832ed84007060dd79bad299dae4e6 | 11,696 | py | Python | state_workflow_sdk/api/state_workflow/state_workflow_client.py | easyopsapis/easyops-api-python | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | [
"Apache-2.0"
] | 5 | 2019-07-31T04:11:05.000Z | 2021-01-07T03:23:20.000Z | state_workflow_sdk/api/state_workflow/state_workflow_client.py | easyopsapis/easyops-api-python | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | [
"Apache-2.0"
] | null | null | null | state_workflow_sdk/api/state_workflow/state_workflow_client.py | easyopsapis/easyops-api-python | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
import state_workflow_sdk.api.state_workflow.callback_pb2
import state_workflow_sdk.api.state_workflow.createStateWorkflow_pb2
import state_workflow_sdk.model.state_workflow.stateWorkflow_pb2
import state_workflow_sdk.api.state_workflow.deleteStateWorkflow_pb2
import g... | 41.183099 | 254 | 0.658516 | 11,655 | 0.946945 | 0 | 0 | 0 | 0 | 0 | 0 | 4,782 | 0.388528 |
a0ceec8ec85ef44ddb9d9cd56199a36790b171fc | 4,171 | py | Python | tests/contour_classifiers/test_randomforest.py | yamathcy/motif | 3f43568e59f0879fbab5ef278e9e687b7cac3dd6 | [
"MIT"
] | 21 | 2016-08-22T22:00:49.000Z | 2020-03-29T04:15:19.000Z | tests/contour_classifiers/test_randomforest.py | yamathcy/motif | 3f43568e59f0879fbab5ef278e9e687b7cac3dd6 | [
"MIT"
] | 22 | 2016-08-28T01:07:08.000Z | 2018-02-07T14:38:26.000Z | tests/contour_classifiers/test_randomforest.py | yamathcy/motif | 3f43568e59f0879fbab5ef278e9e687b7cac3dd6 | [
"MIT"
] | 3 | 2017-01-12T10:04:27.000Z | 2022-01-06T13:25:48.000Z | """Test for motif.classify.mvgaussian
"""
from __future__ import print_function
import unittest
import numpy as np
from motif.contour_classifiers import random_forest
def array_equal(array1, array2):
return np.all(np.isclose(array1, array2))
class TestRandomForest(unittest.TestCase):
def setUp(self):
... | 32.585938 | 76 | 0.529369 | 3,919 | 0.939583 | 0 | 0 | 0 | 0 | 0 | 0 | 294 | 0.070487 |
a0cf8257e1729da63a070f7fb21ed2b3279418e3 | 7,365 | py | Python | awsenv/profile.py | KensoDev/awsenv | 4bf759106d2e0d79221d0ca9188ed7686e119b2c | [
"Apache-2.0"
] | 6 | 2016-09-11T08:39:50.000Z | 2018-10-22T13:41:34.000Z | awsenv/profile.py | KensoDev/awsenv | 4bf759106d2e0d79221d0ca9188ed7686e119b2c | [
"Apache-2.0"
] | 1 | 2017-01-09T23:58:20.000Z | 2017-01-09T23:58:20.000Z | awsenv/profile.py | KensoDev/awsenv | 4bf759106d2e0d79221d0ca9188ed7686e119b2c | [
"Apache-2.0"
] | 5 | 2017-01-09T23:26:12.000Z | 2021-09-08T09:35:59.000Z | """
Profile-aware session wrapper.
"""
from os import environ
from botocore.exceptions import ProfileNotFound
from botocore.session import Session
from awsenv.cache import CachedSession
def get_default_profile_name():
"""
Get the default profile name from the environment.
"""
return environ.get("AWS... | 31.075949 | 91 | 0.60611 | 7,009 | 0.951663 | 0 | 0 | 2,657 | 0.36076 | 0 | 0 | 2,003 | 0.271962 |
a0d0d288568d1ad31c787944a756b68fdcfc394c | 13,358 | py | Python | cail/algo/twoiwil.py | Stanford-ILIAD/Confidence-Aware-Imitation-Learning | 1d8af0e4ab87a025885133a2384d5a937329b2f5 | [
"MIT"
] | 16 | 2021-10-30T15:19:37.000Z | 2022-03-23T12:57:49.000Z | cail/algo/twoiwil.py | syzhang092218-source/Confidence-Aware-Imitation-Learning | 1d8af0e4ab87a025885133a2384d5a937329b2f5 | [
"MIT"
] | null | null | null | cail/algo/twoiwil.py | syzhang092218-source/Confidence-Aware-Imitation-Learning | 1d8af0e4ab87a025885133a2384d5a937329b2f5 | [
"MIT"
] | 2 | 2021-11-29T11:28:16.000Z | 2022-03-06T14:12:47.000Z | import torch
import os
import torch.nn.functional as F
import numpy as np
import copy
from torch import nn
from torch.optim import Adam
from torch.autograd import Variable
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from typing import Tuple
from .ppo import PPO, PPOExpert
from ... | 34.786458 | 105 | 0.586166 | 12,914 | 0.966617 | 0 | 0 | 0 | 0 | 0 | 0 | 4,756 | 0.355988 |
a0d0f0826bf05af84c68e2d12e3788dc07ebfcd6 | 7,327 | py | Python | data/generation_scripts/MantaFlow/scripts3D/compactifyData.py | tum-pbs/VOLSIM | 795a31c813bf072eb88289126d7abd9fba8b0e54 | [
"MIT"
] | 7 | 2022-01-28T09:40:15.000Z | 2022-03-07T01:52:00.000Z | data/generation_scripts/MantaFlow/scripts3D/compactifyData.py | tum-pbs/VOLSIM | 795a31c813bf072eb88289126d7abd9fba8b0e54 | [
"MIT"
] | null | null | null | data/generation_scripts/MantaFlow/scripts3D/compactifyData.py | tum-pbs/VOLSIM | 795a31c813bf072eb88289126d7abd9fba8b0e54 | [
"MIT"
] | 1 | 2022-03-14T22:08:47.000Z | 2022-03-14T22:08:47.000Z | import numpy as np
import os, shutil
import imageio
baseDir = "data/train_verbose"
outDir = "data/train"
#baseDir = "data/test_verbose"
#outDir = "data/test"
outDirVidCopy = "data/videos"
combineVidsAll = {"smoke" : ["densMean", "densSlice", "velMean", "velSlice", "presMean", "presSlice"],
"liquid": ["... | 43.613095 | 153 | 0.512079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,519 | 0.207315 |
a0d159678318f4de46108d8e3c19f4a355d8744f | 14,238 | py | Python | qiskit/aqua/operators/base_operator.py | Sahar2/qiskit-aqua | a228fbe6b9613cff43e47796a7e4843deba2b051 | [
"Apache-2.0"
] | null | null | null | qiskit/aqua/operators/base_operator.py | Sahar2/qiskit-aqua | a228fbe6b9613cff43e47796a7e4843deba2b051 | [
"Apache-2.0"
] | null | null | null | qiskit/aqua/operators/base_operator.py | Sahar2/qiskit-aqua | a228fbe6b9613cff43e47796a7e4843deba2b051 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modif... | 44.633229 | 122 | 0.666877 | 13,645 | 0.958351 | 0 | 0 | 5,336 | 0.374772 | 0 | 0 | 5,017 | 0.352367 |
a0d37d7e9574c755f53a5c193de3f30cb81ee61a | 4,447 | py | Python | DataAnalysis/utils.py | Timlo512/AnomalyStockDetection | 29f9aaef14f1d9823980d8022cdce1f7f6310813 | [
"MIT"
] | 2 | 2020-12-19T05:24:29.000Z | 2021-05-15T19:35:40.000Z | DataAnalysis/utils.py | Timlo512/AnomalyStockDetection | 29f9aaef14f1d9823980d8022cdce1f7f6310813 | [
"MIT"
] | null | null | null | DataAnalysis/utils.py | Timlo512/AnomalyStockDetection | 29f9aaef14f1d9823980d8022cdce1f7f6310813 | [
"MIT"
] | 5 | 2020-11-21T02:25:13.000Z | 2022-01-31T12:46:02.000Z | import pandas as pd
import numpy as np
from sklearn.metrics import confusion_matrix
import re
def convert_data_sparse_matrix(df, row_label = 'stock_code', col_label = 'name_of_ccass_participant', value_label = 'shareholding'):
"""
Pivot table
"""
try:
# Prepare zero matrix
row_dim =... | 32.698529 | 132 | 0.614796 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,263 | 0.284012 |
a0d5155e320c1b2b6704a06d42d9b58088cb485b | 1,429 | py | Python | scripts/prepare_upload_files.py | MaayanLab/scAVI | 7f3f83657d749520243535581db1080075e48aa5 | [
"Apache-2.0"
] | 3 | 2020-01-23T08:48:33.000Z | 2021-07-21T02:42:28.000Z | scripts/prepare_upload_files.py | MaayanLab/scAVI | 7f3f83657d749520243535581db1080075e48aa5 | [
"Apache-2.0"
] | 21 | 2019-10-25T15:38:37.000Z | 2022-01-27T16:04:04.000Z | scripts/prepare_upload_files.py | MaayanLab/scAVI | 7f3f83657d749520243535581db1080075e48aa5 | [
"Apache-2.0"
] | 1 | 2019-10-24T18:15:26.000Z | 2019-10-24T18:15:26.000Z | '''
Prepare some files to test the upload functionality.
'''
import sys
sys.path.append('../')
from database import *
from pymongo import MongoClient
mongo = MongoClient(MONGOURI)
db = mongo['SCV']
coll = db['dataset']
from gene_expression import *
expr_df, meta_doc = load_read_counts_and_meta(organism='mouse', gse... | 30.404255 | 105 | 0.751575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 611 | 0.427572 |
a0d646ba03a4465fe2514a5e2b0f73386fb45c4c | 2,321 | py | Python | app/api/V1/views/products.py | Paulvitalis200/Store-Manager-API | d61e91bff7fc242da2a93d1caf1012465c7c904a | [
"MIT"
] | null | null | null | app/api/V1/views/products.py | Paulvitalis200/Store-Manager-API | d61e91bff7fc242da2a93d1caf1012465c7c904a | [
"MIT"
] | 4 | 2018-10-21T18:28:03.000Z | 2018-10-24T12:48:24.000Z | app/api/V1/views/products.py | Paulstar200/Store-Manager-API | d61e91bff7fc242da2a93d1caf1012465c7c904a | [
"MIT"
] | null | null | null | from flask import Flask, request
from flask_restful import Resource, reqparse
from flask_jwt_extended import create_access_token, jwt_required
from app.api.V1.models import Product, products
class PostProduct(Resource):
parser = reqparse.RequestParser()
parser.add_argument('name', required=True, help='Produc... | 35.166667 | 111 | 0.616545 | 2,088 | 0.899612 | 0 | 0 | 1,577 | 0.679449 | 0 | 0 | 677 | 0.291685 |
a0d68497a4530b9b9bb8366ff9da7d608dd9a751 | 1,155 | py | Python | 51-100/p87.py | YiWeiShen/Project-Euler-Hints | a79cacab075dd98d393516f083aaa7ffc6115a06 | [
"MIT"
] | 1 | 2019-02-25T13:00:31.000Z | 2019-02-25T13:00:31.000Z | 51-100/p87.py | YiWeiShen/Project-Euler-Hints | a79cacab075dd98d393516f083aaa7ffc6115a06 | [
"MIT"
] | null | null | null | 51-100/p87.py | YiWeiShen/Project-Euler-Hints | a79cacab075dd98d393516f083aaa7ffc6115a06 | [
"MIT"
] | null | null | null | import time
from multiprocessing.pool import Pool
def is_prime(num):
for i in range(2, int(num**0.5+1)):
if num % i == 0:
return None
return num
if __name__ == '__main__':
t = time.time()
p1 = Pool(processes=30)
p2 = Pool(processes=30)
p3 = Pool(processes=30)
num1 = r... | 26.860465 | 65 | 0.587013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.014719 |
a0d6b47a07ed18120ebb9b10352d658a22a11ecb | 267 | py | Python | Clean Word/index.py | Sudani-Coder/python | 9c35f04a0521789ba91b7058695139ed074f7796 | [
"MIT"
] | null | null | null | Clean Word/index.py | Sudani-Coder/python | 9c35f04a0521789ba91b7058695139ed074f7796 | [
"MIT"
] | null | null | null | Clean Word/index.py | Sudani-Coder/python | 9c35f04a0521789ba91b7058695139ed074f7796 | [
"MIT"
] | null | null | null | # recursion function (Clean Word)
def CleanWord(word):
if len(word) == 1:
return word
elif word[0] == word[1]:
return CleanWord(word[1:])
else:
return word[0] + CleanWord(word[1:])
print(CleanWord("wwwooooorrrrllddd"))
| 19.071429 | 44 | 0.58427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.194757 |
a0d7aa3f87b3b51ae56654591cba7faff73f9f8f | 665 | py | Python | commands/rotatecamera.py | 1757WestwoodRobotics/mentorbot | 3db344f3b35c820ada4e1aef3eca9b1fc4c5b85a | [
"MIT"
] | 2 | 2021-11-13T20:18:44.000Z | 2021-11-13T20:27:04.000Z | commands/rotatecamera.py | 1757WestwoodRobotics/mentorbot | 3db344f3b35c820ada4e1aef3eca9b1fc4c5b85a | [
"MIT"
] | null | null | null | commands/rotatecamera.py | 1757WestwoodRobotics/mentorbot | 3db344f3b35c820ada4e1aef3eca9b1fc4c5b85a | [
"MIT"
] | 1 | 2021-11-14T01:38:53.000Z | 2021-11-14T01:38:53.000Z | import typing
from commands2 import CommandBase
from subsystems.cameracontroller import CameraSubsystem
class RotateCamera(CommandBase):
def __init__(self, camera: CameraSubsystem,
leftRight: typing.Callable[[], float],
upDown: typing.Callable[[], float]) -> None:
Comman... | 28.913043 | 70 | 0.667669 | 557 | 0.837594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a0d85ead79155e87bca877ab2df552ddd4292930 | 8,188 | py | Python | instapp/views.py | uwamahororachel/instagram | d5b7127e62047287dfadec15743676df48f278a9 | [
"MIT"
] | null | null | null | instapp/views.py | uwamahororachel/instagram | d5b7127e62047287dfadec15743676df48f278a9 | [
"MIT"
] | null | null | null | instapp/views.py | uwamahororachel/instagram | d5b7127e62047287dfadec15743676df48f278a9 | [
"MIT"
] | null | null | null | from django.shortcuts import render,redirect
from django.http import HttpResponse, Http404,HttpResponseRedirect
import datetime as dt
from .models import Post,Comment,Follow,Profile
from django.contrib.auth.decorators import login_required
from .forms import NewPostForm, NewCommentForm, AddProfileForm
from django.contr... | 36.882883 | 151 | 0.626282 | 0 | 0 | 0 | 0 | 7,171 | 0.875794 | 0 | 0 | 1,083 | 0.132267 |
a0d898d83393f9e2a6f4299d21f948ceddccd556 | 238 | py | Python | 2008/wxpytris/wxpytris.py | mikiec84/code-for-blog | 79b2264f9a808eb14f624cb3c5ae7624038c043a | [
"Unlicense"
] | 1,199 | 2015-01-06T14:09:37.000Z | 2022-03-29T19:39:51.000Z | 2008/wxpytris/wxpytris.py | mikiec84/code-for-blog | 79b2264f9a808eb14f624cb3c5ae7624038c043a | [
"Unlicense"
] | 25 | 2016-07-29T15:44:01.000Z | 2021-11-19T16:21:01.000Z | 2008/wxpytris/wxpytris.py | mikiec84/code-for-blog | 79b2264f9a808eb14f624cb3c5ae7624038c043a | [
"Unlicense"
] | 912 | 2015-01-04T00:39:50.000Z | 2022-03-29T06:50:22.000Z | import sys
import wx
sys.path.insert(0, 'lib.zip')
from lib.TetrisGame import TetrisGame
if __name__ == '__main__':
app = wx.PySimpleApp()
frame = TetrisGame(None)
frame.Show(True)
app.MainLoop()
| 11.9 | 38 | 0.617647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.079832 |
a0d89d58810bc392058c43540e5719fda8ed9934 | 6,822 | py | Python | cfg.py | alexandonian/relational-set-abstraction | 8af6a6a58883ce59c7b29e4161ff970e3bded642 | [
"MIT"
] | 9 | 2020-09-17T23:09:42.000Z | 2021-12-29T09:56:24.000Z | cfg.py | alexandonian/relational-set-abstraction | 8af6a6a58883ce59c7b29e4161ff970e3bded642 | [
"MIT"
] | null | null | null | cfg.py | alexandonian/relational-set-abstraction | 8af6a6a58883ce59c7b29e4161ff970e3bded642 | [
"MIT"
] | 1 | 2021-01-16T07:19:42.000Z | 2021-01-16T07:19:42.000Z | import argparse
import torch
import logger
import models
import utils
NUM_NODES = {
'moments': 391,
'multimoments': 391,
'kinetics': 608,
}
CRITERIONS = {
'CE': {'func': torch.nn.CrossEntropyLoss},
'MSE': {'func': torch.nn.MSELoss},
'BCE': {'func': torch.nn.BCEWithLogitsLoss},
}
OPTIMIZERS =... | 32.956522 | 86 | 0.650836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,540 | 0.372325 |
a0dac9d01fbc63e4052a6ea761aeaa779debac1b | 2,021 | py | Python | Spider/SpiderLab/lab3/lab3/spiders/spider_msg.py | JimouChen/python-application | b7b16506a17e2c304d1c5fabd6385e96be211c56 | [
"Apache-2.0"
] | 1 | 2020-08-09T12:47:27.000Z | 2020-08-09T12:47:27.000Z | Spider/SpiderLab/lab3/lab3/spiders/spider_msg.py | JimouChen/Python_Application | b7b16506a17e2c304d1c5fabd6385e96be211c56 | [
"Apache-2.0"
] | null | null | null | Spider/SpiderLab/lab3/lab3/spiders/spider_msg.py | JimouChen/Python_Application | b7b16506a17e2c304d1c5fabd6385e96be211c56 | [
"Apache-2.0"
] | null | null | null | import scrapy
from bs4 import BeautifulSoup
from lab3.items import Lab3Item
class QuoteSpider(scrapy.Spider):
name = 'quotes'
start_urls = ['http://quotes.toscrape.com/page/1/']
page_num = 1
# 对爬取到的信息进行解析
def parse(self, response, **kwargs):
soup = BeautifulSoup(response.body, 'html.parse... | 40.42 | 102 | 0.568036 | 2,058 | 0.963032 | 1,880 | 0.879738 | 0 | 0 | 0 | 0 | 705 | 0.329902 |
a0db51a733ae0c8c54da89e34dba10cbd38f7150 | 1,236 | py | Python | Aditya/Parametric_Models/WeiExpLog.py | cipheraxat/Survival-Analysis | fb7ecbe4a61fc72785a4327c86e0f81a58c5b3df | [
"Apache-2.0"
] | 7 | 2020-06-14T20:43:55.000Z | 2020-06-23T06:07:08.000Z | Aditya/Parametric_Models/WeiExpLog.py | Abhijit2505/Survival-Analysis | 94c0c386aacfe03a9f2f018511236292f36c4ed9 | [
"Apache-2.0"
] | 14 | 2020-06-20T06:28:50.000Z | 2020-09-08T15:54:29.000Z | Aditya/Parametric_Models/WeiExpLog.py | Abhijit2505/Survival-Analysis | 94c0c386aacfe03a9f2f018511236292f36c4ed9 | [
"Apache-2.0"
] | 9 | 2020-06-19T03:50:21.000Z | 2021-05-10T18:19:26.000Z | import matplotlib.pyplot as plt
from lifelines import (WeibullFitter, ExponentialFitter,
LogNormalFitter, LogLogisticFitter)
import pandas as pd
data = pd.read_csv('Dataset/telco_customer.csv')
data['tenure'] = pd.to_numeric(data['tenure'])
data = data[data['tenure'] > 0]
# Replace yes and No ... | 34.333333 | 97 | 0.711974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 0.331715 |
a0de95c4112c071280835a86de6b15a92fec2e83 | 2,260 | py | Python | spoteno/steps/numbers.py | Z-80/spoteno | 5d2ae7da437cfd8f9cf351b9602269c115dcd46f | [
"MIT"
] | 2 | 2020-01-16T10:23:05.000Z | 2021-11-17T15:44:29.000Z | spoteno/steps/numbers.py | Z-80/spoteno | 5d2ae7da437cfd8f9cf351b9602269c115dcd46f | [
"MIT"
] | null | null | null | spoteno/steps/numbers.py | Z-80/spoteno | 5d2ae7da437cfd8f9cf351b9602269c115dcd46f | [
"MIT"
] | 2 | 2021-03-25T12:06:36.000Z | 2021-11-17T15:44:30.000Z | import re
import num2words
INT_PATTERN = re.compile(r'^-?[0-9]+$')
FLOAT_PATTERN = re.compile(r'^-?[0-9]+[,\.][0-9]+$')
ORDINAL_PATTERN = re.compile(r'^[0-9]+\.?$')
NUM_PATTERN = re.compile(r'^-?[0-9]+([,\.][0-9]+$)?')
class NumberToWords:
def __init__(self, lang_code):
self.lang_code = lang_code
... | 23.541667 | 61 | 0.511504 | 2,029 | 0.897788 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 0.121681 |
a0e1d41f3732cef98c2895b100facec425069d9c | 4,252 | py | Python | src/django_website/django_website/tests/test_views.py | jdheinz/project-ordo_ab_chao | 4063f93b297bab43cff6ca64fa5ba103f0c75158 | [
"MIT"
] | 2 | 2019-09-23T18:42:32.000Z | 2019-09-27T00:33:38.000Z | src/django_website/django_website/tests/test_views.py | jdheinz/project-ordo_ab_chao | 4063f93b297bab43cff6ca64fa5ba103f0c75158 | [
"MIT"
] | 6 | 2021-03-19T03:25:33.000Z | 2022-02-10T08:48:14.000Z | src/django_website/django_website/tests/test_views.py | jdheinz/project-ordo_ab_chao | 4063f93b297bab43cff6ca64fa5ba103f0c75158 | [
"MIT"
] | 6 | 2019-09-23T18:53:41.000Z | 2020-02-06T00:20:06.000Z | from django.test import TransactionTestCase
from django.test import TestCase
from django.urls import reverse
from home_page.models import Search
from ebaysdk.finding import Connection as finding
class PageTest(TransactionTestCase):
def test_home_page_status_code_1(self):
response = self.client.get('/'... | 38.654545 | 107 | 0.670508 | 3,972 | 0.934149 | 0 | 0 | 0 | 0 | 0 | 0 | 479 | 0.112653 |
a0e28476be0fa65ebedd554ed275a8386f751e73 | 869 | py | Python | tests/string/generate_string.py | om719/Bloom-Filter-CPP | 8093448b3ea357831b6de25aee9e0e7271b762fa | [
"MIT"
] | 3 | 2021-05-31T18:41:34.000Z | 2021-06-01T04:44:15.000Z | tests/string/generate_string.py | om719/Bloom-Filter-CPP | 8093448b3ea357831b6de25aee9e0e7271b762fa | [
"MIT"
] | null | null | null | tests/string/generate_string.py | om719/Bloom-Filter-CPP | 8093448b3ea357831b6de25aee9e0e7271b762fa | [
"MIT"
] | 2 | 2021-05-31T18:41:48.000Z | 2021-05-31T18:47:14.000Z | from key_generator.key_generator import generate
all_sizes_required = [(100, '100'), (500, '500'), (1000, '1K'), (5000, '5K'), (10000, '10K'), (50000, '50K'), (100000, '100K'), (500000, '500K')]
for file_size in all_sizes_required:
OUTPUT_PATH = "./string_test_" + file_size[1] + ".txt"
STRING_COUNT = file_size[0]
... | 22.868421 | 145 | 0.611047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.135788 |
a0e444f5e01631d54753ab517309246502cc9089 | 4,950 | py | Python | resources/portfolio_book.py | basgir/bibliotek | 42456ced804a2c9570227b393de662847283c76f | [
"MIT"
] | null | null | null | resources/portfolio_book.py | basgir/bibliotek | 42456ced804a2c9570227b393de662847283c76f | [
"MIT"
] | null | null | null | resources/portfolio_book.py | basgir/bibliotek | 42456ced804a2c9570227b393de662847283c76f | [
"MIT"
] | null | null | null | ###########################################
# Author : Bastien Girardet, Deborah De Wolff
# Date : 13.05.2018
# Course : Applications in Object-oriented Programming and Databases
# Teachers : Binswanger Johannes, Zürcher Ruben
# Project : Bibliotek
# Name : portfolio_book.py Portfolio_book Flask_restful res... | 40.57377 | 149 | 0.625051 | 4,442 | 0.897192 | 0 | 0 | 0 | 0 | 0 | 0 | 2,676 | 0.540497 |
a0e4dae891748b8a01307ae7aac7bc7715d4cc4e | 9,199 | py | Python | examples/the-feeling-of-success/run_experiments.py | yujialuo/erdos | 7a631b55895f1a473b0f4d38a0d6053851e65b5d | [
"Apache-2.0"
] | null | null | null | examples/the-feeling-of-success/run_experiments.py | yujialuo/erdos | 7a631b55895f1a473b0f4d38a0d6053851e65b5d | [
"Apache-2.0"
] | null | null | null | examples/the-feeling-of-success/run_experiments.py | yujialuo/erdos | 7a631b55895f1a473b0f4d38a0d6053851e65b5d | [
"Apache-2.0"
] | null | null | null | import logging
from absl import app
from sensor_msgs.msg import Image
from insert_table_op import InsertTableOperator
from insert_block_op import InsertBlockOperator
from init_robot_op import InitRobotOperator
from gel_sight_op import GelSightOperator
from mock_loc_obj_op import MockLocateObjectOperator
from goto_xyz_... | 35.245211 | 79 | 0.655941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,636 | 0.286553 |
a0e5feb7c20a84c78be8423f81add0bb2c5c4589 | 2,686 | py | Python | junction/tickets/migrations/0001_initial.py | theSage21/junction | ac713edcf56c41eb3f066da776a0a5d24e55b46a | [
"MIT"
] | 192 | 2015-01-12T06:21:24.000Z | 2022-03-10T09:57:37.000Z | junction/tickets/migrations/0001_initial.py | theSage21/junction | ac713edcf56c41eb3f066da776a0a5d24e55b46a | [
"MIT"
] | 621 | 2015-01-01T09:19:17.000Z | 2021-05-28T09:27:35.000Z | junction/tickets/migrations/0001_initial.py | theSage21/junction | ac713edcf56c41eb3f066da776a0a5d24e55b46a | [
"MIT"
] | 207 | 2015-01-05T16:39:06.000Z | 2022-02-15T13:18:15.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import jsonfield.fields
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... | 35.813333 | 87 | 0.44341 | 2,520 | 0.938198 | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 0.104244 |
a0e63766143621d523ba6066faa521d14ec9c390 | 1,300 | py | Python | src/bin/calc_stats.py | sw005320/PytorchWaveNetVocoder | b92d7af7d5f2794291e0d462694c0719f75ca469 | [
"Apache-2.0"
] | 1 | 2021-01-18T06:22:30.000Z | 2021-01-18T06:22:30.000Z | src/bin/calc_stats.py | sw005320/PytorchWaveNetVocoder | b92d7af7d5f2794291e0d462694c0719f75ca469 | [
"Apache-2.0"
] | null | null | null | src/bin/calc_stats.py | sw005320/PytorchWaveNetVocoder | b92d7af7d5f2794291e0d462694c0719f75ca469 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2017 Tomoki Hayashi (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from __future__ import print_function
import argparse
import numpy as np
from sklearn.preprocessing import StandardScaler
from utils import read_hdf5
from ut... | 24.074074 | 60 | 0.665385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 381 | 0.293077 |
a0e69b24115a09b931149b369f1062a566ff2b61 | 727 | py | Python | python/p002.py | RUiNtheExtinct/project-euler | 5c3e64c7dfcbf52d5213df88d2310550f4ee9ce1 | [
"MIT"
] | null | null | null | python/p002.py | RUiNtheExtinct/project-euler | 5c3e64c7dfcbf52d5213df88d2310550f4ee9ce1 | [
"MIT"
] | null | null | null | python/p002.py | RUiNtheExtinct/project-euler | 5c3e64c7dfcbf52d5213df88d2310550f4ee9ce1 | [
"MIT"
] | null | null | null | # from decimal import Decimal
import collections as coll
import sys
import math as mt
# import random as rd
# import bisect as bi
import time
sys.setrecursionlimit(1000000)
# import numpy as np
def uno():
return int(sys.stdin.readline().strip())
def dos():
return sys.stdin.readline().strip()
def tres()... | 14.836735 | 57 | 0.612105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.233838 |
a0e7af4439dc68e76e3dc02f0c28bddc41d0fe5c | 7,662 | py | Python | robosuite/models/objects/xml_objects.py | ClaireLC/robosuite | b5c37f1110aefc02106ffd2aed0dfb106bc1bb33 | [
"MIT"
] | 1 | 2021-12-22T13:10:46.000Z | 2021-12-22T13:10:46.000Z | robosuite/models/objects/xml_objects.py | wangcongrobot/robosuite-jr | 738be7a3a83447e78763f6a082faafc8b479c95d | [
"MIT"
] | null | null | null | robosuite/models/objects/xml_objects.py | wangcongrobot/robosuite-jr | 738be7a3a83447e78763f6a082faafc8b479c95d | [
"MIT"
] | 1 | 2020-12-29T01:38:01.000Z | 2020-12-29T01:38:01.000Z | from robosuite.models.objects import MujocoXMLObject
from robosuite.utils.mjcf_utils import xml_path_completion, array_to_string, string_to_array
class BottleObject(MujocoXMLObject):
"""
Bottle object
"""
def __init__(self):
super().__init__(xml_path_completion("objects/bottle.xml"))
class ... | 26.512111 | 111 | 0.658053 | 7,467 | 0.97455 | 0 | 0 | 1,362 | 0.17776 | 0 | 0 | 2,891 | 0.377317 |
a0e9174ff5dee90055733752e0b8cd4f3423f64e | 1,654 | py | Python | SoftUni-Python-Programming-Course/Exam-Preparation/medicines_in_carton.py | vladislav-karamfilov/Python-Playground | ed83a693d37ff0c1565ece49d2a5d9ecd32c9aac | [
"MIT"
] | 1 | 2019-04-07T23:10:27.000Z | 2019-04-07T23:10:27.000Z | SoftUni-Python-Programming-Course/Exam-Preparation/medicines_in_carton.py | vladislav-karamfilov/Python-Playground | ed83a693d37ff0c1565ece49d2a5d9ecd32c9aac | [
"MIT"
] | null | null | null | SoftUni-Python-Programming-Course/Exam-Preparation/medicines_in_carton.py | vladislav-karamfilov/Python-Playground | ed83a693d37ff0c1565ece49d2a5d9ecd32c9aac | [
"MIT"
] | null | null | null | # Problem description: http://python3.softuni.bg/student/lecture/assignment/56b749af7e4f59b649b7e626/
class Medicine:
def __init__(self, name, w, h, d):
self.name = name
self.w = w
self.h = h
self.d = d
def can_be_put_in_carton(self, carton_w, carton_h, carton_d):
sort... | 29.535714 | 107 | 0.638452 | 447 | 0.270254 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.083434 |
a0e9473241e626ba8085d5563079fd7bc9d6eeb6 | 1,111 | py | Python | var/app_template/views.py | michailbrynard/django-skeleton | 772cd579cad1b8853ed6f1a2c14cbacac2ba41da | [
"MIT"
] | null | null | null | var/app_template/views.py | michailbrynard/django-skeleton | 772cd579cad1b8853ed6f1a2c14cbacac2ba41da | [
"MIT"
] | null | null | null | var/app_template/views.py | michailbrynard/django-skeleton | 772cd579cad1b8853ed6f1a2c14cbacac2ba41da | [
"MIT"
] | null | null | null | # LOGGING
# ---------------------------------------------------------------------------------------------------------------------#
import logging
logger = logging.getLogger('django')
# IMPORTS
# ---------------------------------------------------------------------------------------------------------------------#
# sho... | 32.676471 | 120 | 0.407741 | 56 | 0.050405 | 0 | 0 | 245 | 0.220522 | 0 | 0 | 705 | 0.634563 |
a0e9bc2b96c3d8a0da5092d2ce1abf89a56a046d | 858 | py | Python | circuitpy_examples/week1/04_ramp_LED_brightness.py | WSU-Physics/phys150 | 043ebf8212b56a988ef8e41a4464400bec5a7dc1 | [
"MIT"
] | null | null | null | circuitpy_examples/week1/04_ramp_LED_brightness.py | WSU-Physics/phys150 | 043ebf8212b56a988ef8e41a4464400bec5a7dc1 | [
"MIT"
] | null | null | null | circuitpy_examples/week1/04_ramp_LED_brightness.py | WSU-Physics/phys150 | 043ebf8212b56a988ef8e41a4464400bec5a7dc1 | [
"MIT"
] | null | null | null | # Adam Beardsley
# starting from from adafruit example
# https://learn.adafruit.com/welcome-to-circuitpython/creating-and-editing-code
#
import board
import digitalio
import time
led = digitalio.DigitalInOut(board.LED)
led.direction = digitalio.Direction.OUTPUT
ramp_time = 3 # Time to ramp up, in seconds
period = 0.... | 28.6 | 79 | 0.698135 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 409 | 0.47669 |
a0ead277852aac4f9b24d58dbb1630e69b9f9cac | 1,099 | py | Python | __main__.py | Makeeyaf/SiteChecker | 969bdedd2d5df36220ff9fcc41e44cf1db0cca00 | [
"MIT"
] | 1 | 2021-01-06T01:45:41.000Z | 2021-01-06T01:45:41.000Z | __main__.py | Makeeyaf/SiteChecker | 969bdedd2d5df36220ff9fcc41e44cf1db0cca00 | [
"MIT"
] | 2 | 2021-01-03T13:25:39.000Z | 2021-01-03T15:57:01.000Z | __main__.py | Makeeyaf/SiteChecker | 969bdedd2d5df36220ff9fcc41e44cf1db0cca00 | [
"MIT"
] | null | null | null | import argparse
from site_checker import SiteChecker
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Check sites text.")
parser.add_argument("config", type=str, nargs=1, help="Path to config json file.")
parser.add_argument(
"-a",
dest="apiKey",
type=str,
... | 26.166667 | 86 | 0.586897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 278 | 0.252957 |
a0eb34e703fb20df0982cbdc1702ff56c69d7bb6 | 1,563 | py | Python | autop-listener/autop-listener.py | yuriel-v/ansible | f6e8fcb1edfbef550da2fe217cfd84941523f692 | [
"MIT"
] | null | null | null | autop-listener/autop-listener.py | yuriel-v/ansible | f6e8fcb1edfbef550da2fe217cfd84941523f692 | [
"MIT"
] | null | null | null | autop-listener/autop-listener.py | yuriel-v/ansible | f6e8fcb1edfbef550da2fe217cfd84941523f692 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
from datetime import datetime
from json import dumps
import flask as fsk
from flask import request, jsonify, Response
app = fsk.Flask(__name__)
app.config['DEBUG'] = False
homedir = os.getenv('HOME')
@app.route('/provision', methods=['POST'])
def auto_provision():
Path(f'{homed... | 32.5625 | 136 | 0.658989 | 0 | 0 | 0 | 0 | 1,252 | 0.801024 | 0 | 0 | 616 | 0.394114 |
a0ed35cd2a2fcaf79d84a20f492250006d069eb3 | 3,586 | py | Python | dz_se_comm.py | strebrah/Solaredge_Domoticz_Modbus | 802bfde4f4b458ad0d30d3a9433315e12e3aa837 | [
"MIT"
] | null | null | null | dz_se_comm.py | strebrah/Solaredge_Domoticz_Modbus | 802bfde4f4b458ad0d30d3a9433315e12e3aa837 | [
"MIT"
] | null | null | null | dz_se_comm.py | strebrah/Solaredge_Domoticz_Modbus | 802bfde4f4b458ad0d30d3a9433315e12e3aa837 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
####################################################################################################
# Created by EH (NL) https://github.com/strebrah/Solaredge_Domoticz_Modbus #
# Date: August 2020 ... | 59.766667 | 118 | 0.499721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,202 | 0.614055 |
a0edb39559fc23e931152b94ffea25ac01150fa0 | 10,632 | py | Python | parse_mitchell.py | cfwelch/targeted_sentiment | 1c1b063339cdead8f5860df784a0fa170bcdd3ef | [
"MIT"
] | 1 | 2020-12-28T13:51:02.000Z | 2020-12-28T13:51:02.000Z | parse_mitchell.py | cfwelch/targeted_sentiment | 1c1b063339cdead8f5860df784a0fa170bcdd3ef | [
"MIT"
] | 2 | 2018-04-23T02:13:44.000Z | 2018-04-25T04:58:35.000Z | parse_mitchell.py | cfwelch/targeted_sentiment | 1c1b063339cdead8f5860df784a0fa170bcdd3ef | [
"MIT"
] | null | null | null |
import senti_lexis
import datetime, string, numpy, spwrap, random time, sys, re
from sklearn import svm
from sklearn import cross_validation
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.cross_validation import KFold
from scipy.sparse import csr_matrix
def main():
for i in range(1, 11):
... | 28.891304 | 93 | 0.60506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,360 | 0.316027 |
a0ee65cec9b822e4705a0e2c457a3bbab820bf6b | 1,314 | py | Python | cryptographyMachine/cryptographyMachine.py | anuranjan08/CryptoMachine | 5a1d68adbe88708f21902d1d44a636c043f6ed28 | [
"MIT"
] | null | null | null | cryptographyMachine/cryptographyMachine.py | anuranjan08/CryptoMachine | 5a1d68adbe88708f21902d1d44a636c043f6ed28 | [
"MIT"
] | null | null | null | cryptographyMachine/cryptographyMachine.py | anuranjan08/CryptoMachine | 5a1d68adbe88708f21902d1d44a636c043f6ed28 | [
"MIT"
] | null | null | null | def machine():
keys='abcdefghijklmnopqrstuvwxyz !'
values=keys[-1]+keys[0:-1]
"""
In encrytpDict: In decryptDict:
keys Values keys Values
'a' '!' '!' 'a'
'b' 'a' 'a' 'b'
. . . .
. . .... | 27.375 | 89 | 0.547945 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 843 | 0.641553 |
a0ee8d887762a2061e866ff6d3e72e86639288e1 | 645 | py | Python | tests/test_ioeeg_abf.py | wonambi-python/wonambi | 4e2834cdd799576d1a231ecb48dfe4da1364fe3a | [
"BSD-3-Clause"
] | 63 | 2017-12-30T08:11:17.000Z | 2022-01-28T10:34:20.000Z | tests/test_ioeeg_abf.py | wonambi-python/wonambi | 4e2834cdd799576d1a231ecb48dfe4da1364fe3a | [
"BSD-3-Clause"
] | 23 | 2017-09-08T08:29:49.000Z | 2022-03-17T08:19:13.000Z | tests/test_ioeeg_abf.py | wonambi-python/wonambi | 4e2834cdd799576d1a231ecb48dfe4da1364fe3a | [
"BSD-3-Clause"
] | 12 | 2017-09-18T12:48:36.000Z | 2021-09-22T07:16:07.000Z | from numpy import isnan
from wonambi import Dataset
from .paths import axon_abf_file
d = Dataset(axon_abf_file)
def test_abf_read():
assert len(d.header['chan_name']) == 1
assert d.header['start_time'].minute == 47
data = d.read_data(begtime=1, endtime=2)
assert data.data[0][0, 0] == 2.197265592... | 21.5 | 59 | 0.662016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.052713 |
a0f1fbf8cfec77c2b1ef56f17fd04592b977c305 | 9,115 | py | Python | tests/Preprocessing_Test.py | Maxence-Labesse/MLKit | 7f8d92b5d3e025dc3719c3bbaf1f2e55afda5107 | [
"MIT"
] | 1 | 2022-01-11T14:13:22.000Z | 2022-01-11T14:13:22.000Z | tests/Preprocessing_Test.py | Maxence-Labesse/MLKit | 7f8d92b5d3e025dc3719c3bbaf1f2e55afda5107 | [
"MIT"
] | null | null | null | tests/Preprocessing_Test.py | Maxence-Labesse/MLKit | 7f8d92b5d3e025dc3719c3bbaf1f2e55afda5107 | [
"MIT"
] | 1 | 2020-07-10T09:51:22.000Z | 2020-07-10T09:51:22.000Z | from AutoMxL.Preprocessing.Categorical import *
from AutoMxL.Preprocessing.Date import *
from AutoMxL.Preprocessing.Outliers import *
from AutoMxL.Preprocessing.Missing_Values import *
import unittest
import pandas as pd
import math
# test config
df = pd.read_csv('tests/df_test_bis.csv')
class TestMissingValues(unit... | 43.822115 | 120 | 0.622929 | 8,298 | 0.910368 | 0 | 0 | 0 | 0 | 0 | 0 | 2,510 | 0.27537 |
a0f259a7948c591dd236fbcc2a29325e01018267 | 218 | py | Python | PythonTutor/session-4/conditionIfelse.py | krishnamanchikalapudi/examples.py | 7a373d24df06b8882d07b850435b268a24317b1e | [
"MIT"
] | null | null | null | PythonTutor/session-4/conditionIfelse.py | krishnamanchikalapudi/examples.py | 7a373d24df06b8882d07b850435b268a24317b1e | [
"MIT"
] | 1 | 2020-02-14T13:24:01.000Z | 2020-02-14T13:24:01.000Z | PythonTutor/session-4/conditionIfelse.py | krishnamanchikalapudi/examples.py | 7a373d24df06b8882d07b850435b268a24317b1e | [
"MIT"
] | 2 | 2020-02-14T13:21:20.000Z | 2021-06-30T00:50:33.000Z | """
Session: 4
Topic: Conditional: IF ELSE statement
"""
x = 20
y = 100
if (x > y):
print ('x > y is true')
print ('new line 1')
else:
print('x > y is false')
print('new line 2')
print ('new line 3')
| 13.625 | 37 | 0.550459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.56422 |
a0f3c7164fd5d0e03360ed4d29df99912a368e12 | 915 | py | Python | day02/day02.py | pogross/adventofcode2021 | 33fc177d30e1104a6203e435f83594c4d3774cdb | [
"MIT"
] | null | null | null | day02/day02.py | pogross/adventofcode2021 | 33fc177d30e1104a6203e435f83594c4d3774cdb | [
"MIT"
] | null | null | null | day02/day02.py | pogross/adventofcode2021 | 33fc177d30e1104a6203e435f83594c4d3774cdb | [
"MIT"
] | null | null | null | def execute_command(command: str) -> (int):
direction, magnitude = command.split(" ")
horizontal, depth = 0, 0
if direction == "forward":
horizontal += int(magnitude)
elif direction == "up":
depth -= int(magnitude)
elif direction == "down":
depth += int(magnitude)
retur... | 26.911765 | 68 | 0.636066 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 0.161749 |
a0f92a83ae88dda1724d8249cb3715aea8d6c4ad | 2,073 | py | Python | execute.py | r-kapoor/ranking-extractions | 59ed7f23d120d1bc7f0ee2af48ffa61817fd1715 | [
"MIT"
] | null | null | null | execute.py | r-kapoor/ranking-extractions | 59ed7f23d120d1bc7f0ee2af48ffa61817fd1715 | [
"MIT"
] | null | null | null | execute.py | r-kapoor/ranking-extractions | 59ed7f23d120d1bc7f0ee2af48ffa61817fd1715 | [
"MIT"
] | null | null | null | import codecs
import json
import rank
import train_ranker
#Files to be present in home dir
TRAINING_FILE_CITIES = 'manual_7_cities.jl'
TRAINING_FILE_NAMES = 'manual_50_names.jl'
TRAINING_FILE_ETHNICITIES = 'manual_50_ethnicities.jl'
ACTUAL_FILE_CITIES = 'manual_50_cities.jl'
ACTUAL_FILE_NAMES = 'manual_50_names.jl'
A... | 29.614286 | 97 | 0.721177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 0.325615 |
a0f9341f558e2700ed30e7586738a7942212308d | 336 | py | Python | Python-codes-CeV/32-Leap_year.py | engcristian/Python | 726a53e9499fd5d0594572298e59e318f98e2d36 | [
"MIT"
] | 1 | 2021-02-22T03:53:23.000Z | 2021-02-22T03:53:23.000Z | Python-codes-CeV/32-Leap_year.py | engcristian/Python | 726a53e9499fd5d0594572298e59e318f98e2d36 | [
"MIT"
] | null | null | null | Python-codes-CeV/32-Leap_year.py | engcristian/Python | 726a53e9499fd5d0594572298e59e318f98e2d36 | [
"MIT"
] | null | null | null | ''' Calculat the leap year'''
from datetime import date
year = int(input('What year do you want to analyse? Type 0 for the current year.'))
if year == 0:
year = date.today().year
if year%4 ==0 and year%100 != 0 or year%400 == 0:
print(F"The year {year} it's a LEAP year.".)
else:
print(F"The year {year} isn'... | 37.333333 | 84 | 0.645833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.497024 |
a0f9bbfc405c03e8dff904c969ce60482f1a635c | 567 | py | Python | thesis/code/fairness/gen.py | fz1989/master-thesis | e47af8c90d8d18d87f906a7a4bcadb64669e70db | [
"MIT"
] | null | null | null | thesis/code/fairness/gen.py | fz1989/master-thesis | e47af8c90d8d18d87f906a7a4bcadb64669e70db | [
"MIT"
] | null | null | null | thesis/code/fairness/gen.py | fz1989/master-thesis | e47af8c90d8d18d87f906a7a4bcadb64669e70db | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#coding=utf-8
import numpy
class Task(object):
def __init__(self, cpu, mem):
self.cpu = cpu
self.mem = mem
def __repr__(self):
return ("%d,%d") % (self.cpu, self.mem)
def get_task_list():
task_list = []
for i in range(0,30):
cpu = numpy.random.r... | 21 | 47 | 0.589065 | 173 | 0.305115 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.104056 |
a0fa30f527e6c86b6cb9dc5b7f38c0821721deb9 | 71 | py | Python | tests/routes/__init__.py | Bachhofer/spottydata | e9334c2a32bb65018b57d83fc4522ae241427db7 | [
"MIT"
] | null | null | null | tests/routes/__init__.py | Bachhofer/spottydata | e9334c2a32bb65018b57d83fc4522ae241427db7 | [
"MIT"
] | null | null | null | tests/routes/__init__.py | Bachhofer/spottydata | e9334c2a32bb65018b57d83fc4522ae241427db7 | [
"MIT"
] | null | null | null | # This is an empty python file to expose this directory to it's parent
| 35.5 | 70 | 0.774648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.985915 |
a0fccc7e51abcecde4662d4c35aa618544e6087c | 7,500 | py | Python | Perceptual Hash -Asher/ex1/example_solution.py | kidist-amde/image-search-engine | 467d022f7248a74822dd9ae938b5b86333ce417a | [
"MIT"
] | null | null | null | Perceptual Hash -Asher/ex1/example_solution.py | kidist-amde/image-search-engine | 467d022f7248a74822dd9ae938b5b86333ce417a | [
"MIT"
] | null | null | null | Perceptual Hash -Asher/ex1/example_solution.py | kidist-amde/image-search-engine | 467d022f7248a74822dd9ae938b5b86333ce417a | [
"MIT"
] | null | null | null | import os
import cv2
from sklearn.cluster import KMeans, DBSCAN, MiniBatchKMeans
from scipy import spatial
from sklearn.preprocessing import StandardScaler
import numpy as np
from tqdm import tqdm
import argparse
parser = argparse.ArgumentParser(description='Challenge presentation example')
parser.add_argument('--data... | 34.246575 | 122 | 0.608133 | 3,471 | 0.4628 | 0 | 0 | 0 | 0 | 0 | 0 | 1,197 | 0.1596 |
a0fd132d4d35c39d83a7f211d5d4e4443ddf2030 | 1,399 | py | Python | src/modeling/train_test.py | samsonq/Macroeconomic-Default-Analysis | 1a155873f951b1584c33c2d91bd525b67f78136d | [
"MIT"
] | 4 | 2020-06-12T22:20:48.000Z | 2021-08-08T15:49:38.000Z | src/modeling/train_test.py | samsonq/Macroeconomic-Default-Analysis | 1a155873f951b1584c33c2d91bd525b67f78136d | [
"MIT"
] | 1 | 2020-04-15T07:11:43.000Z | 2020-04-15T07:11:43.000Z | src/modeling/train_test.py | samsonq/Macroeconomic-Default-Analysis | 1a155873f951b1584c33c2d91bd525b67f78136d | [
"MIT"
] | 3 | 2020-09-18T02:27:58.000Z | 2021-10-30T21:22:10.000Z | """
Prepare training, validation, and testing data after preprocessing of the large dataset. Used in
training and evaluating models.
"""
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
def feature_selection(data, features):
"""
Choose which features to use for trai... | 35.871795 | 114 | 0.735525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 793 | 0.566833 |
a0fd2af6803ffa9be2e8f4bfae48a6a7e68eb4ea | 179,927 | py | Python | cyberradiodriver/CyberRadioDriver/radio.py | CyberRadio/CyberRadioDriver | 44e6fc0e805981981514e6edc18d11d5fa33e659 | [
"MIT"
] | null | null | null | cyberradiodriver/CyberRadioDriver/radio.py | CyberRadio/CyberRadioDriver | 44e6fc0e805981981514e6edc18d11d5fa33e659 | [
"MIT"
] | null | null | null | cyberradiodriver/CyberRadioDriver/radio.py | CyberRadio/CyberRadioDriver | 44e6fc0e805981981514e6edc18d11d5fa33e659 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
###############################################################
# \package CyberRadioDriver.radio
#
# \brief Defines basic functionality for radio handler objects.
#
# \note This module defines basic behavior only. To customize
# a radio handler class for a particular radio, derive a new
# ... | 43.884634 | 168 | 0.591156 | 175,738 | 0.976718 | 0 | 0 | 20,995 | 0.116686 | 0 | 0 | 53,714 | 0.298532 |
a0fde969f3e2acaa6481f6fe003e765cdca46b4c | 1,686 | py | Python | alpha_zero/NeuralNet.py | blekinge/alpha-zero-general | 7cc33e9b2e40602549b59fe753956e69a56f51f1 | [
"MIT"
] | null | null | null | alpha_zero/NeuralNet.py | blekinge/alpha-zero-general | 7cc33e9b2e40602549b59fe753956e69a56f51f1 | [
"MIT"
] | null | null | null | alpha_zero/NeuralNet.py | blekinge/alpha-zero-general | 7cc33e9b2e40602549b59fe753956e69a56f51f1 | [
"MIT"
] | null | null | null | from typing import List, Tuple
import numpy as np
from alpha_zero.Board import Board
class NeuralNet():
"""
This class specifies the base NeuralNet class. To define your own neural
network, subclass this class and implement the functions below. The neural
network does not consider the current player... | 31.222222 | 102 | 0.6293 | 1,596 | 0.946619 | 0 | 0 | 0 | 0 | 0 | 0 | 1,186 | 0.70344 |
a0fef1eaf1459e3aa6754a55ca8204b402a0ab05 | 785 | py | Python | server/app/forms.py | zhancongc/bugaboo | ac78e7e0274492273554b089122196b7869e8bfb | [
"Apache-2.0"
] | null | null | null | server/app/forms.py | zhancongc/bugaboo | ac78e7e0274492273554b089122196b7869e8bfb | [
"Apache-2.0"
] | null | null | null | server/app/forms.py | zhancongc/bugaboo | ac78e7e0274492273554b089122196b7869e8bfb | [
"Apache-2.0"
] | null | null | null | """
Project : bugaboo
Filename : forms.py
Author : zhancongc
Description : 表单管理
"""
from flask_wtf import FlaskForm
from wtforms import StringField, BooleanField, TextAreaField, SelectField, FileField, IntegerField, PasswordField, SubmitField
from wtforms.validators import DataRequired
class GodLoginForm... | 23.787879 | 126 | 0.718471 | 491 | 0.606922 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 0.264524 |
9d006b0d7e89fe26f4e43d422a80339277272355 | 3,836 | py | Python | synthdid/variance.py | MasaAsami/pysynthdid | 01afe33ae22f513c65f9cfdec56a4b21ca547c28 | [
"Apache-2.0"
] | null | null | null | synthdid/variance.py | MasaAsami/pysynthdid | 01afe33ae22f513c65f9cfdec56a4b21ca547c28 | [
"Apache-2.0"
] | null | null | null | synthdid/variance.py | MasaAsami/pysynthdid | 01afe33ae22f513c65f9cfdec56a4b21ca547c28 | [
"Apache-2.0"
] | 2 | 2022-03-11T03:13:36.000Z | 2022-03-20T22:55:13.000Z | import pandas as pd
import numpy as np
from tqdm import tqdm
class Variance(object):
def estimate_variance(self, algo="placebo", replications=200):
"""
# algo
- placebo
## The following algorithms are omitted because they are not practical.
- bootstrap
- jackknife
... | 36.884615 | 88 | 0.516945 | 3,772 | 0.983316 | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 0.087331 |
9d01bb83bee5f2c4612c59332de6ea7b9e34ac2f | 681 | py | Python | todo/views.py | arascch/Todo_list | a4c88abaa4e6c1e158135b4fce4bcfbf64cb86e2 | [
"Apache-2.0"
] | 1 | 2020-03-24T09:26:23.000Z | 2020-03-24T09:26:23.000Z | todo/views.py | arascch/Todo_list | a4c88abaa4e6c1e158135b4fce4bcfbf64cb86e2 | [
"Apache-2.0"
] | null | null | null | todo/views.py | arascch/Todo_list | a4c88abaa4e6c1e158135b4fce4bcfbf64cb86e2 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
from django.utils import timezone
from todo.models import Todo
from django.http import HttpResponseRedirect
def home(request):
todo_items = Todo.objects.all().order_by("-added_date")
return render(request , 'todo/index.html' , {"todo_items":todo_items})
def add_todo(request)... | 35.842105 | 82 | 0.737151 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.0837 |
9d02e73cfc6d5e0a0462f594bbcafd9199cb2c88 | 816 | py | Python | Easy/Hangman/HangMan - Stage 6.py | michael-act/HyperSkill | ce16eb3b6f755f7f8f21a57ef2679fcb8a4bd55c | [
"MIT"
] | 1 | 2020-11-17T18:09:30.000Z | 2020-11-17T18:09:30.000Z | Easy/Hangman/HangMan - Stage 6.py | michael-act/HyperSkill | ce16eb3b6f755f7f8f21a57ef2679fcb8a4bd55c | [
"MIT"
] | null | null | null | Easy/Hangman/HangMan - Stage 6.py | michael-act/HyperSkill | ce16eb3b6f755f7f8f21a57ef2679fcb8a4bd55c | [
"MIT"
] | null | null | null | import random
category = ['python', 'java', 'kotlin', 'javascript']
computer = random.choice(category)
hidden = list(len(computer) * "-")
print("H A N G M A N")
counter = 8
while counter > 0:
print()
print("".join(hidden))
letter = input("Input a letter: ")
if (letter in hidden) or (letter in hidden... | 24 | 61 | 0.616422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.216912 |
9d03157b2910202ba3c53d84197f7000003a404d | 6,536 | py | Python | sklcc/taskEdit.py | pyxuweitao/MSZ_YCL | 23323c4660f44af0a45d6ab81cd496b81976f5a0 | [
"Apache-2.0"
] | null | null | null | sklcc/taskEdit.py | pyxuweitao/MSZ_YCL | 23323c4660f44af0a45d6ab81cd496b81976f5a0 | [
"Apache-2.0"
] | null | null | null | sklcc/taskEdit.py | pyxuweitao/MSZ_YCL | 23323c4660f44af0a45d6ab81cd496b81976f5a0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
所有任务task相关功能函数
"""
__author__ = "XuWeitao"
import CommonUtilities
import rawSql
def getTasksList(UserID):
"""
获取任务列表，包括任务流水号，创建时间，最近一次修改时间，货号，色号以及到料时间和创建人
:param UserID:创建人ID，如果为ALL则返回所有的任务列表
:return:{
"SerialNo":任务流水号, "CreateTime":任务创建时间, "LastModifiedTime":最近一次修改时间,
"ProductNo"... | 41.106918 | 140 | 0.671665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,903 | 0.657768 |
9d064db24d2e119266bc78323c4a529982872160 | 744 | py | Python | Leetcoding-Actions/my-weekly-DSA-challenge/2020-w44-p0200-Number-of-Islands.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | 1 | 2020-11-14T18:28:13.000Z | 2020-11-14T18:28:13.000Z | Leetcoding-Actions/my-weekly-DSA-challenge/2020-w44-p0200-Number-of-Islands.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | Leetcoding-Actions/my-weekly-DSA-challenge/2020-w44-p0200-Number-of-Islands.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | class Solution:
def numIslands(self, grid: List[List[str]]) -> int:
'''
T: O(mn) and S: O(1)
'''
if not grid: return 0
nrow, ncol = len(grid), len(grid[0])
def exploreIsland(grid, i, j):
if i < 0 or i > nrow - 1 or j < 0 or j > ncol-1 or grid[i][j... | 32.347826 | 81 | 0.415323 | 743 | 0.998656 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.071237 |
9d07e918f729733a967e2d67e465e2cf7ce7d2a4 | 11,417 | py | Python | tensor2tensor/models/revnet.py | ysglh/tensor2tensor | f55462a9928f3f8af0b1275a4fb40d13cae6cc79 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/models/revnet.py | ysglh/tensor2tensor | f55462a9928f3f8af0b1275a4fb40d13cae6cc79 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/models/revnet.py | ysglh/tensor2tensor | f55462a9928f3f8af0b1275a4fb40d13cae6cc79 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2017 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 38.441077 | 80 | 0.681177 | 120 | 0.010511 | 0 | 0 | 877 | 0.076815 | 0 | 0 | 6,530 | 0.571954 |
9d08e38fa29119640133acdff959362b1c00409d | 4,166 | py | Python | tests/unit/test_services.py | BlooAM/Online-shopping-app | aa68d258fe32bf5a792e534dddd9def7c25460e2 | [
"MIT"
] | null | null | null | tests/unit/test_services.py | BlooAM/Online-shopping-app | aa68d258fe32bf5a792e534dddd9def7c25460e2 | [
"MIT"
] | null | null | null | tests/unit/test_services.py | BlooAM/Online-shopping-app | aa68d258fe32bf5a792e534dddd9def7c25460e2 | [
"MIT"
] | null | null | null | import pytest
from datetime import date, timedelta
from adapters import repository
from domain.model import Batch, OrderLine, allocate, OutOfStock
from domain import model
from service_layer import handlers, unit_of_work
class FakeSession:
def __init__(self):
self.committed = False
def commit(self):... | 32.046154 | 89 | 0.702112 | 683 | 0.163946 | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 0.162026 |
9d08ebe64750ed4ee86af0207bca624b0391ff75 | 1,786 | py | Python | DQMOffline/L1Trigger/python/L1TEGammaOffline_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | DQMOffline/L1Trigger/python/L1TEGammaOffline_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | DQMOffline/L1Trigger/python/L1TEGammaOffline_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
electronEfficiencyThresholds = [36, 68, 128, 176]
electronEfficiencyBins = []
electronEfficiencyBins.extend(list(xrange(0, 120, 10)))
electronEfficiencyBins.extend(list(xrange(120, 180, 20)))
electronEfficiencyBins.extend(list(xrange(180, 300, 40)))
electronEfficiencyBins.exte... | 37.208333 | 75 | 0.783875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 0.207167 |
9d092f6e945eea14883d51652329fcd4951dee46 | 18,548 | py | Python | ion_networks/numba_functions.py | swillems/ion_networks | 5304a92248ec007ac2253f246a3d44bdb58ae110 | [
"MIT"
] | 2 | 2020-10-28T16:11:56.000Z | 2020-12-03T13:19:18.000Z | ion_networks/numba_functions.py | swillems/ion_networks | 5304a92248ec007ac2253f246a3d44bdb58ae110 | [
"MIT"
] | null | null | null | ion_networks/numba_functions.py | swillems/ion_networks | 5304a92248ec007ac2253f246a3d44bdb58ae110 | [
"MIT"
] | null | null | null | #!python
# external
import numpy as np
import numba
@numba.njit(nogil=True, cache=True)
def longest_increasing_subsequence(sequence):
# TODO:Docstring
M = np.zeros(len(sequence) + 1, np.int64)
P = np.zeros(len(sequence), np.int64)
max_subsequence_length = 0
for current_index, current_element in e... | 34.864662 | 82 | 0.630418 | 0 | 0 | 0 | 0 | 18,456 | 0.99504 | 0 | 0 | 389 | 0.020973 |
9d099c325b8e8eb13555bc61afea2a208b9050c9 | 241 | py | Python | Programming Fundamentals/Dictionaries/bakery.py | antonarnaudov/SoftUniProjects | 01cbdce2b350b57240045d1bc3e21d34f9d0351d | [
"MIT"
] | null | null | null | Programming Fundamentals/Dictionaries/bakery.py | antonarnaudov/SoftUniProjects | 01cbdce2b350b57240045d1bc3e21d34f9d0351d | [
"MIT"
] | null | null | null | Programming Fundamentals/Dictionaries/bakery.py | antonarnaudov/SoftUniProjects | 01cbdce2b350b57240045d1bc3e21d34f9d0351d | [
"MIT"
] | null | null | null | def result(elements):
bakery = {}
for i in range(0, len(elements), 2):
key = elements[i]
value = elements[i + 1]
bakery[key] = int(value)
return bakery
tokens = input().split(' ')
print(result(tokens)) | 18.538462 | 40 | 0.564315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.012448 |
9d0ab807d87d356a4a4fb529654e22486400f676 | 1,525 | py | Python | vtrace/const.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 716 | 2015-01-01T14:41:11.000Z | 2022-03-28T06:51:50.000Z | vtrace/const.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 266 | 2015-01-01T15:07:27.000Z | 2022-03-30T15:19:26.000Z | vtrace/const.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 159 | 2015-01-01T16:19:44.000Z | 2022-03-21T21:55:34.000Z | # Order must match format junk
# NOTIFY_ALL is kinda special, if you registerNotifier
# with it, you get ALL notifications.
NOTIFY_ALL = 0 # Get all notifications
NOTIFY_SIGNAL = 1 # Callback on signal/exception
NOTIFY_BREAK = 2 # Callback on breakpoint / sigtrap
NOTIFY_STEP = 3 # Callback... | 33.152174 | 66 | 0.733115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 869 | 0.569836 |
9d0d12599f8d63386d38681b6e12a10636886357 | 3,248 | py | Python | src/ezdxf/groupby.py | jkjt/ezdxf | 2acc5611b81476ea16b98063b9f55446a9182b81 | [
"MIT"
] | 515 | 2017-01-25T05:46:52.000Z | 2022-03-29T09:52:27.000Z | src/ezdxf/groupby.py | jkjt/ezdxf | 2acc5611b81476ea16b98063b9f55446a9182b81 | [
"MIT"
] | 417 | 2017-01-25T10:01:17.000Z | 2022-03-29T09:22:04.000Z | src/ezdxf/groupby.py | jkjt/ezdxf | 2acc5611b81476ea16b98063b9f55446a9182b81 | [
"MIT"
] | 149 | 2017-02-01T15:52:02.000Z | 2022-03-17T10:33:38.000Z | # Purpose: Grouping entities by DXF attributes or a key function.
# Copyright (c) 2017-2021, Manfred Moitzi
# License: MIT License
from typing import Iterable, Hashable, Dict, List, TYPE_CHECKING
from ezdxf.lldxf.const import DXFValueError, DXFAttributeError
if TYPE_CHECKING:
from ezdxf.eztypes import DXFEntity, ... | 35.692308 | 79 | 0.601293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,292 | 0.705665 |
9d0e38af685d991cde1a6a41f4c243ad673af7b8 | 1,839 | py | Python | tests/test_basic.py | nk412/companycase | 5b93478a79293a4bc93112b805eff56c44756f18 | [
"MIT"
] | 7 | 2016-09-08T15:25:33.000Z | 2022-02-01T13:21:40.000Z | tests/test_basic.py | nk412/companycase | 5b93478a79293a4bc93112b805eff56c44756f18 | [
"MIT"
] | 1 | 2016-07-12T10:36:02.000Z | 2016-07-12T10:36:02.000Z | tests/test_basic.py | nk412/companycase | 5b93478a79293a4bc93112b805eff56c44756f18 | [
"MIT"
] | 2 | 2016-09-17T17:41:28.000Z | 2020-02-29T22:58:09.000Z | # coding=utf-8
import unittest
from companycase import CompanyCase
class TestEnglishCCase(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.ccase = CompanyCase()
def test_simple(self):
self.assertEqual(self.ccase.apply("foobar ltd"), "Foobar LTD")
self.assertEqual(self.cca... | 39.12766 | 113 | 0.659598 | 1,724 | 0.935431 | 0 | 0 | 71 | 0.038524 | 0 | 0 | 557 | 0.302225 |
9d0eed15b3c0630d157c26b0aac4e458a282e19f | 8,527 | py | Python | main_single.py | wang-chen/AirLoop | 12fb442c911002427a51f00d43f747ef593bd186 | [
"BSD-3-Clause"
] | 39 | 2021-09-28T19:48:13.000Z | 2022-03-17T06:44:19.000Z | main_single.py | wang-chen/AirLoop | 12fb442c911002427a51f00d43f747ef593bd186 | [
"BSD-3-Clause"
] | null | null | null | main_single.py | wang-chen/AirLoop | 12fb442c911002427a51f00d43f747ef593bd186 | [
"BSD-3-Clause"
] | 3 | 2021-10-04T01:26:17.000Z | 2022-02-12T04:48:50.000Z | #!/usr/bin/env python3
import os
import tqdm
import torch
import random
import numpy as np
import torch.nn as nn
import configargparse
import torch.optim as optim
from tensorboard import program
from torch.utils.tensorboard import SummaryWriter
import yaml
from models import FeatureNet
from datasets import get_datase... | 45.844086 | 137 | 0.673273 | 0 | 0 | 0 | 0 | 345 | 0.04046 | 0 | 0 | 2,094 | 0.245573 |
9d0fc4d37e8008ce4ffedc8ff1748729bd11a8f1 | 271 | py | Python | skilletlib/skillet/__init__.py | annabarone/skilletlib | d1298218a1a0be35eb9fac2ae79323df600d8900 | [
"Apache-2.0"
] | 6 | 2020-04-27T18:08:02.000Z | 2022-01-14T13:27:19.000Z | skilletlib/skillet/__init__.py | annabarone/skilletlib | d1298218a1a0be35eb9fac2ae79323df600d8900 | [
"Apache-2.0"
] | 85 | 2019-10-28T19:13:55.000Z | 2021-07-14T13:00:28.000Z | skilletlib/skillet/__init__.py | annabarone/skilletlib | d1298218a1a0be35eb9fac2ae79323df600d8900 | [
"Apache-2.0"
] | 7 | 2019-12-05T20:17:16.000Z | 2021-12-09T01:16:58.000Z | # from .panos import PanosSkillet
# from .docker import DockerSkillet
# from .pan_validation import PanValidationSkillet
# from .python3 import Python3Skillet
# from .rest import RestSkillet
# from .template import TemplateSkillet
# from .workflow import WorkflowSkillet
| 33.875 | 50 | 0.819188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 264 | 0.97417 |
9d10f233df729f37438c93bc6d49f9504b03d459 | 1,192 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/rss_proxy/views.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/rss_proxy/views.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/rss_proxy/views.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | """
Views for the rss_proxy djangoapp.
"""
import requests
from django.conf import settings
from django.core.cache import cache
from django.http import HttpResponse, HttpResponseNotFound
from lms.djangoapps.rss_proxy.models import WhitelistedRssUrl
CACHE_KEY_RSS = "rss_proxy.{url}"
def proxy(request):
"""
... | 29.8 | 84 | 0.653523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.245805 |
9d1115c99ef6af6ee80e12df2bf5eac7ff811ea7 | 149 | py | Python | CorePythonProg/ch02/0206.py | mallius/CppPrimer | 0285fabe5934492dfed0a9cf67ba5650982a5f76 | [
"MIT"
] | null | null | null | CorePythonProg/ch02/0206.py | mallius/CppPrimer | 0285fabe5934492dfed0a9cf67ba5650982a5f76 | [
"MIT"
] | null | null | null | CorePythonProg/ch02/0206.py | mallius/CppPrimer | 0285fabe5934492dfed0a9cf67ba5650982a5f76 | [
"MIT"
] | 1 | 2022-01-25T15:51:34.000Z | 2022-01-25T15:51:34.000Z | #!/usr/bin/env python
numTemp = raw_input('Enter a number: ')
num = int(numTemp)
if num > 0:
print '>0'
elif num ==0:
print '0'
else:
print '<0'
| 13.545455 | 39 | 0.61745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.33557 |
9d123f052b89aece17eb457b8ad9cafa6d71e501 | 314 | py | Python | bootcamp/accounts/urls.py | elbakouchi/bootcamp | 2c7a0cd2ddb7632acb3009f94d728792ddf9644f | [
"MIT"
] | null | null | null | bootcamp/accounts/urls.py | elbakouchi/bootcamp | 2c7a0cd2ddb7632acb3009f94d728792ddf9644f | [
"MIT"
] | null | null | null | bootcamp/accounts/urls.py | elbakouchi/bootcamp | 2c7a0cd2ddb7632acb3009f94d728792ddf9644f | [
"MIT"
] | null | null | null | from django.conf.urls import url
from .views import *
app_name = "accounts"
urlpatterns = [
url(r"^signup/$", CustomSignupView.as_view(), name="custom_signup"),
url(r"^destroy/$", AjaxLogoutView.as_view(), name="destroy"),
url(r"^(?P<username>[\w.@+-]+)/$", ProfileView.as_view(), name="profile"),
]
| 28.545455 | 78 | 0.652866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.308917 |
9d1277aded11ab70c99a610d14fb0758ed951638 | 8,195 | py | Python | utils/mininet/mininet_builder.py | jstavr/SDN_Project | 9fe5a65f46eadf15e1da43d9f8125b8c15161bbd | [
"Apache-2.0"
] | null | null | null | utils/mininet/mininet_builder.py | jstavr/SDN_Project | 9fe5a65f46eadf15e1da43d9f8125b8c15161bbd | [
"Apache-2.0"
] | null | null | null | utils/mininet/mininet_builder.py | jstavr/SDN_Project | 9fe5a65f46eadf15e1da43d9f8125b8c15161bbd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
Description: Load topology in Mininet
Author: James Hongyi Zeng (hyzeng_at_stanford.edu)
'''
from argparse import ArgumentParser
from socket import gethostbyname
from os import getuid
from mininet.log import lg, info
from mininet.cli import CLI
from mininet.net import Mininet
from ... | 39.210526 | 150 | 0.598292 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,758 | 0.336547 |
9d1338f96592532b4f49b0f4d8c0180dee99ffe0 | 1,833 | py | Python | tests/integration/test_translated_content.py | asmeurer/nikola | ea1c651bfed0fd6337f1d22cf8dd99899722912c | [
"MIT"
] | 1,901 | 2015-01-02T02:49:51.000Z | 2022-03-30T23:31:35.000Z | tests/integration/test_translated_content.py | asmeurer/nikola | ea1c651bfed0fd6337f1d22cf8dd99899722912c | [
"MIT"
] | 1,755 | 2015-01-01T08:17:16.000Z | 2022-03-24T18:02:22.000Z | tests/integration/test_translated_content.py | asmeurer/nikola | ea1c651bfed0fd6337f1d22cf8dd99899722912c | [
"MIT"
] | 421 | 2015-01-02T18:06:37.000Z | 2022-03-28T23:18:54.000Z | """
Test a site with translated content.
Do not test titles as we remove the translation.
"""
import io
import os
import shutil
import lxml.html
import pytest
import nikola.plugins.command.init
from nikola import __main__
from .helper import cd
from .test_empty_build import ( # NOQA
test_archive_exists,
t... | 29.095238 | 88 | 0.681942 | 0 | 0 | 0 | 0 | 663 | 0.361702 | 0 | 0 | 383 | 0.208947 |
9d13de1d5fcb7bb17eb81bbe83f7d14929b0ec78 | 8,826 | py | Python | src/train.py | weiyi1991/UA_Concurrent | 11238c778c60095abf326800d6e6a13a643bf071 | [
"MIT"
] | null | null | null | src/train.py | weiyi1991/UA_Concurrent | 11238c778c60095abf326800d6e6a13a643bf071 | [
"MIT"
] | 1 | 2020-09-02T12:24:59.000Z | 2020-09-02T12:24:59.000Z | src/train.py | weiyi1991/UA_Concurrent | 11238c778c60095abf326800d6e6a13a643bf071 | [
"MIT"
] | null | null | null | import argparse
import os
import torch
import torch.nn.functional as F
from model_ST import *
import data
import numpy as np
import matplotlib.pyplot as plt
from torch.utils.data import Dataset, DataLoader
import sys
from predict import evaluate_MA
from tensorboardX import SummaryWriter
# print model parameter
def pri... | 41.051163 | 140 | 0.643327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,575 | 0.291752 |
9d192ebb1226024bcb7fe7faa5cd19ef549419f8 | 130 | py | Python | illud/exceptions/quit_exception.py | AustinScola/illud | a6aca1de38bbe9d5a795aaa084bcbd6731767d18 | [
"MIT"
] | 1 | 2020-12-05T00:59:15.000Z | 2020-12-05T00:59:15.000Z | illud/exceptions/quit_exception.py | AustinScola/illud | a6aca1de38bbe9d5a795aaa084bcbd6731767d18 | [
"MIT"
] | 112 | 2021-01-15T21:42:27.000Z | 2021-04-17T19:11:21.000Z | illud/exceptions/quit_exception.py | AustinScola/illud | a6aca1de38bbe9d5a795aaa084bcbd6731767d18 | [
"MIT"
] | null | null | null | """Raised to quit."""
from illud.exception import IlludException
class QuitException(IlludException):
"""Raised to quit."""
| 18.571429 | 42 | 0.723077 | 62 | 0.476923 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.323077 |