seq_id stringlengths 7 11 | text stringlengths 156 1.7M | repo_name stringlengths 7 125 | sub_path stringlengths 4 132 | file_name stringlengths 4 77 | file_ext stringclasses 6
values | file_size_in_byte int64 156 1.7M | program_lang stringclasses 1
value | lang stringclasses 38
values | doc_type stringclasses 1
value | stars int64 0 24.2k ⌀ | dataset stringclasses 1
value | pt stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
26080546821 | # Example 1:
# here we are making a class
class Student:
pass
# we are making an object from student class
harry = Student()
larry = Student()
# we can make instance variable of an object like this
harry.name = "Harry"
harry.std = 12
harry.section = 1
larry.std = 9
larry.subjects = ["hindi", "physics"]
print(har... | roman-ojha/python | Notes/Main/OOP/02_Class_and_Object/02_Creating_Our_Class.py | 02_Creating_Our_Class.py | py | 3,134 | python | en | code | 2 | github-code | 6 |
27579511655 | import os
import shutil
import torch
def make_dirs(args, opts, mode="train"):
splits , features = '', ''
if args.video_sets == 'videos':
splits += 'new_'
if args.input_feature == '2d':
features += 'new_'
splits += 'splits'
features += 'features'
train_list = os.path.join(opts.... | t-koba-96/skill-assessment | src/util.py | util.py | py | 3,287 | python | en | code | 0 | github-code | 6 |
21386838378 | # -*- coding: utf-8 -*-
import datetime
from functools import partial
import ipyvuetify as v
from traitlets import (
Unicode, observe, directional_link,
List, Int, Bool, Any, link
)
from sepal_ui.sepalwidgets.sepalwidget import SepalWidget, TYPES
from sepal_ui.frontend.styles import sepal_darker
class... | dfguerrerom/restoration_viewer | component/widget/custom_widgets.py | custom_widgets.py | py | 4,906 | python | en | code | 0 | github-code | 6 |
29584086251 | # -*- coding: utf-8 -*-
import unicodedata
from datetime import datetime, timedelta
from html2text import html2text
from openerp import models, api, fields
from openerp.exceptions import Warning
class AvancysNotification(models.Model):
_name = 'avancys.notification'
user_id = fields.Many2one('res.users', 'Us... | odoopruebasmp/Odoo_08 | v8_llevatelo/avancys_notification/avancys_notification.py | avancys_notification.py | py | 11,966 | python | en | code | 0 | github-code | 6 |
35764996048 | import os
# import urllib.request
# from types import SimpleNamespace
# from urllib.error import HTTPError
import random
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# import tabulate
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch... | tianyao-aka/Expresive_K_hop_GNNs | QM9/func_util_V2.py | func_util_V2.py | py | 6,416 | python | en | code | 2 | github-code | 6 |
71811415868 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""code_info
@Time : 2020 2020/7/13 15:53
@Author : Blanc
@File : selenium_test.py
"""
from selenium import webdriver
browser = webdriver.Chrome()
browser.get('https://space.bilibili.com/1')
name=browser.find_element_by_id('h-name')
print(name.text)
brow... | Flynn-Lu/PythonCode | 2020python实训/Day11/selenium_test.py | selenium_test.py | py | 331 | python | en | code | 0 | github-code | 6 |
5722675237 | import os
import struct
from lxml import etree
import datetime
# | Character | Byte order | Size | Alignment |
# | --------- | ---------------------- | -------- | --------- |
# | @ | native | native | native |
# | = | native | standard | none ... | HappyKimoto/BinaryToXml | bintoxml.py | bintoxml.py | py | 7,191 | python | en | code | 0 | github-code | 6 |
35684957719 | # Given the head of a LinkedList and two positions ‘p’ and ‘q’, reverse the LinkedList from position ‘p’ to ‘q’.
class Node:
def __init__(self, v, n=None):
self.value = v
self.next = n
def print_ll(self):
while self is not None:
print(self.value)
self = self.next... | hitesh-goel/ds-algo | grokking-tci/6_reverse_ll/reverse_sub_ll.py | reverse_sub_ll.py | py | 1,144 | python | en | code | 0 | github-code | 6 |
11726198344 | import sys
import codecs
import os
import numpy as np
import torch
from torch.autograd import Variable
from .constants import MAX_CHAR_LENGTH, NUM_CHAR_PAD, PAD_CHAR, PAD_POS, PAD_TYPE, ROOT_CHAR, ROOT_POS, ROOT_TYPE, END_CHAR, END_POS, END_TYPE, _START_VOCAB, ROOT, PAD_ID_WORD, PAD_ID_CHAR, PAD_ID_TAG, DIGIT_RE
from... | ganeshjawahar/ELMoLex | dat/nlm_data.py | nlm_data.py | py | 8,163 | python | en | code | 12 | github-code | 6 |
4488441296 | """
"""
import argparse
import copy
import functools
import itertools
# import operator
import os
from pathlib import Path
import re
import galsim
import joblib
import metadetect
import ngmix
import numpy as np
import pyarrow as pa
import pyarrow.compute as pc
import pyarrow.dataset as ds
import pyarrow.parquet as pq... | LSSTDESC/chromatic-shear-bias | chromatic_shear_bias/generators/stars.py | stars.py | py | 2,290 | python | en | code | 4 | github-code | 6 |
36712615798 | from .mail import on_warning_last_data_upd
import threading
from datetime import datetime
class SensorDataSignals:
def __init__(self):
self.date = datetime.now()
self.timer = threading.Timer(10, on_warning_last_data_upd(datetime.now()))
def time_warning(self, sender, **kwargs):
if sel... | novelsk/AtlasDjango | app/atlas/signals.py | signals.py | py | 513 | python | en | code | 0 | github-code | 6 |
31106755329 | '''
Given a binary tree t and an integer s, determine whether there is a root to leaf path in t such that the sum of vertex values equals s.
Example
For
t = {
"value": 4,
"left": {
"value": 1,
"left": {
"value": -2,
"left": null,
"right": {
... | JorG96/DataStructures | hasPathWithGivenSum.py | hasPathWithGivenSum.py | py | 1,521 | python | en | code | 0 | github-code | 6 |
43140645221 | """``atomicmass`` - Return the atomic mass of an atom or molecule.
This is really just a wrapper for
`periodictable
<https://periodictable.readthedocs.io/en/latest/index.html>`_
but returns the mass as an `astropy quantity
<http://docs.astropy.org/en/stable/units/index.html>`_.
"""
import periodictable as pt
import as... | mburger-stsci/nexoclom | nexoclom/atomicdata/atomicmass.py | atomicmass.py | py | 1,498 | python | en | code | 0 | github-code | 6 |
2223517855 | from math import cos, sin, radians
class Day12():
def __init__(self, input, target):
instructions = input.strip()
self.instructions = [[x[0], int(x[1:])]
for x in instructions.split('\n')]
self.direction = [1, 0]
self.location = [0, 0]
self.wayp... | thekakkun/coding_challenges | advent_of_code/2020/day_12.py | day_12.py | py | 4,925 | python | en | code | 0 | github-code | 6 |
27959312759 | import torch
# Define Net
class TestNet(torch.nn.Module):
def __init__(self):
super(TestNet, self).__init__()
def forward(self, x1, x2):
y1 = torch.add(x1, 10)
y2 = torch.add(x2, 5)
y3 = torch.add(y1, y2)
y4 = torch.add(y3, 10)
return y4
def sample1():
x1... | SAITPublic/PimAiCompiler | examples/runtime/python/ir_net/simple_add.py | simple_add.py | py | 805 | python | en | code | 2 | github-code | 6 |
33016130821 | from flask import Flask, flash, json, request, redirect, Response, url_for
from flask_cors import CORS
app = Flask(__name__)
app.config['SESSION_TYPE'] = 'filesystem'
app.config.from_envvar('APP_SETTINGS')
CORS(app)
@app.route('/ping', methods=['GET'])
def ping():
response = app.response_class(
response... | aaronjenkins/flask-api-template | api.py | api.py | py | 478 | python | en | code | 0 | github-code | 6 |
7074303331 | #Note: 1)The detection works only on grayscale images. So it is important to convert the color image to grayscale.
# 2) detectMultiScale function is used to detect the faces.
# It takes 3 arguments — the input image, scaleFactor and minNeighbours. scaleFactor specifies how much the image size is reduced with each scale... | amanpanditap/Python_Projects | facedetection/facedetection-image.py | facedetection-image.py | py | 3,295 | python | en | code | 3 | github-code | 6 |
9781885238 | from egzP2atesty import runtests
def partition(tab,p,r,indeksy):
x=tab[indeksy[r]][1]
i=p-1
for j in range(p,r):
if tab[indeksy[j]][1]>=x:
i+=1
tab[indeksy[i]],tab[indeksy[j]]=tab[indeksy[j]],tab[indeksy[i]]
tab[indeksy[i+1]],tab[indeksy[r]]=tab[indeksy[r]],tab[indeksy[i... | wiksat/AlghorithmsAndDataStructures | ASD/BitAlgo-Summer/egzP2a/egzP2a.py | egzP2a.py | py | 1,169 | python | pl | code | 0 | github-code | 6 |
23386753962 | from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework.status import HTTP_404_NOT_FOUND
from scraper.models import PartsDetails
from scraper.serializers import PartsDetailsSerializer
# Create your views here.
@api_view(['GET'])
def company_parts(request, form... | spsree4u/urparts_scraper | scraper/views.py | views.py | py | 1,537 | python | en | code | 0 | github-code | 6 |
37009080740 | import os
import pathlib
import requests
from flask import Flask, session, abort, redirect, request, render_template, make_response
from google.oauth2 import id_token
from google_auth_oauthlib.flow import Flow
from pip._vendor import cachecontrol
import google.auth.transport.requests
from static.py.chat import socket... | SeanDaBlack/checkmasters | app.py | app.py | py | 8,145 | python | en | code | 0 | github-code | 6 |
86625733247 | #! /usr/bin/env python
import os
import sys
import time
import numpy as np
from multiprocess import Pool
sys.path.append(os.path.join(os.environ['REPO_DIR'], 'utilities'))
from utilities2015 import *
from metadata import *
from data_manager import *
from learning_utilities import *
#################################... | mistycheney/MouseBrainAtlas | deprecated/learning/apply_classifiers_v4.py | apply_classifiers_v4.py | py | 2,806 | python | en | code | 3 | github-code | 6 |
71862936509 | MEM_SIZE = 100
reg = {'a': 0, 'b': 0, 'c': 0, 'd': 0, 'e': 0, 'f': 0, 'sp': 0, 'acc': 0, 'pc': 0, 'ivec': 0, 'int': 0, 'timer': 0,
'halt': False}
memory = [0] * MEM_SIZE
# move the values
def mov(opr):
reg[opr[0]] = reg[opr[1]]
reg['pc'] = reg['pc'] + 1
# memory list include lists one by one > reg di... | LearnCsWithDIR/Create-Virtual-Machine | vm-1.py | vm-1.py | py | 1,479 | python | en | code | 1 | github-code | 6 |
43634206373 | # pylint: disable=no-self-use,invalid-name,no-value-for-parameter
from __future__ import division
from __future__ import absolute_import
import torch
from allennlp.common.testing.model_test_case import ModelTestCase
from allennlp.nn.decoding.chu_liu_edmonds import decode_mst
class BiaffineDependencyParserTest(Mode... | plasticityai/magnitude | pymagnitude/third_party/allennlp/tests/models/biaffine_dependency_parser_test.py | biaffine_dependency_parser_test.py | py | 3,576 | python | en | code | 1,607 | github-code | 6 |
21884431887 | """Simulate a number of large CHIME populations."""
from frbpoppy import CosmicPopulation, lognormal, Survey
from frbpoppy import SurveyPopulation, pprint
N_SRCS = [3e4, 3.5e4, 4e4]
N_DAYS = 100
RATE = [8, 9, 10] # per day
# Chime started in Aug 2018. Assuming 2/day for one-offs.
# Total of 9 repeaters published on 9... | TRASAL/frbpoppy | tests/chime/sim_runs.py | sim_runs.py | py | 1,794 | python | en | code | 26 | github-code | 6 |
15634510217 | '''
height = raw_input('pls input your height(cm)')
weight = raw_input('pls input your weight(kg)')
height = float(height)/100
w = float(w)
bmi = w/h**2
print(bmi)
if bmi > 30:
print('you are heavy')
elif 30 >= bmi > 18:
print('you are healthy')
else:
print('you are thin')
'''
username = raw_input('pls type... | greatlqp/python_lesson | test_0308_2.py | test_0308_2.py | py | 604 | python | en | code | 0 | github-code | 6 |
37158488723 | import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt
from datetime import datetime
eboladata=pd.read_csv('datavis/ebola.csv')
filtered = eboladata[eboladata['value']>0]
filtereddata = filtered[filtered['Indicator'].str.contains('death')]
Guineadata = filtereddata[filtereddata['Coun... | QiliWu/Python-datavis | datavis/ebola comfirmed death.py | ebola comfirmed death.py | py | 1,578 | python | en | code | 2 | github-code | 6 |
8372223063 | import os
from unittest.mock import patch, Mock, PropertyMock
import pytest
from m1l0_services.imagebuilder.v1.imagebuilder_service_pb2 import BuildRequest, BuildConfig
from builder.core.imagebuilder import ImageBuilder
@patch("shutil.rmtree")
def test_cleanup_code_path(mock_shutil):
mock_shutil.return_value = M... | m1l0ai/m1l0_image_builder | tests/test_imagebuilder.py | test_imagebuilder.py | py | 3,538 | python | en | code | 0 | github-code | 6 |
6246496296 | from urllib.request import urlretrieve
import os
def get_dataset_file(url, savepath):
if not os.path.exists(savepath):
os.mkdir(os.path.dirname(savepath))
urlretrieve(url, savepath)
if __name__ == "__main__":
url = "http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-... | cheesecat47/ML_DL_Jan2020 | get_dataset.py | get_dataset.py | py | 424 | python | en | code | 0 | github-code | 6 |
12309608299 | from setuptools import find_packages, setup
import os
version = "0.0.1"
readme = open(os.path.join(os.path.dirname(__file__), 'README.rst')).read()
req_file = os.path.join(os.path.dirname(__file__), 'requirements.txt')
requirements = [i.strip() for i in open(req_file).readlines()]
setup_params = dict(
name="pye... | mclovinxie/dialect-pyexcel | setup.py | setup.py | py | 1,222 | python | en | code | 3 | github-code | 6 |
69809838269 | import tkinter
import tkinter.messagebox
import customtkinter
import requests
import webbrowser
from PIL import Image, ImageTk
import spotify
customtkinter.set_appearance_mode("system") # Modes: "System" (standard), "Dark", "Light"
customtkinter.set_default_color_theme("green") # Themes: "blue" (standard), "green", ... | algebrabender/Spotify-API-Project | gui.py | gui.py | py | 7,464 | python | en | code | 0 | github-code | 6 |
19334470717 | #!/usr/bin/python3
file0 = open('index0','r')
file = open('index','r')
indexs = file.read().split()
index0s = file0.read().split()
for index0 in index0s:
if not index0 in indexs:
indexs.append(index0)
for index in indexs:
print(index)
| zhangfeiyang/finance-tmp | update_index.py | update_index.py | py | 255 | python | en | code | 0 | github-code | 6 |
8879382170 | # -*- coding: utf-8 -*-
import unittest
import sys
sys.path.append('../src/')
import mac_tran_dao as dao
class TestSearchWordFromChunk(unittest.TestCase):
def test_chunk_srch_en(self):
dao.delete_word_tbl()
en_input = "human"
jp_input = u"人間" #need the u prefix to declare utf-8
dao.insert_wo... | iku000888/Machine-Translation-JP-EN | tests/chunk_search_test.py | chunk_search_test.py | py | 2,164 | python | en | code | 0 | github-code | 6 |
37342054211 | import pyaml
from github import Github
import requests
import datetime
import time
def open_json(fileUrl):
import json
import requests
if fileUrl[0:4] == "http":
# es URL
try:
pointer = requests.get(fileUrl)
return json.loads(pointer.content.decode('utf-8'))
... | smart-data-models/data-models | utils/10_model.yaml_v13.py | 10_model.yaml_v13.py | py | 15,076 | python | en | code | 94 | github-code | 6 |
23448354960 | import socket
from socket import AF_INET6, SOCK_STREAM
from threading import Thread
localIPv6 = "fe80::c10c:de5e:2cbf:132c%9"
globalIPv6 = "2001:14ba:a0bd:dd00:c10c:de5e:2cbf:132c"
# Remember to Disable firewall for clients in other networks to be able to connect to the server
portIPv6 = 36000
buffer = 102... | SpringNuance/chat_application_command-line-version | client_IPv6.py | client_IPv6.py | py | 1,436 | python | en | code | 1 | github-code | 6 |
39165330944 | #
# @lc app=leetcode.cn id=20 lang=python3
#
# [20] 有效的括号
#
# @lc code=start
class Solution:
# 插入左括号，判断右括号
def isValid(self, s: str) -> bool:
sLen = len(s)
if sLen % 2 !=0: return False
stack = list()
rightMap = {
')': '(',
'}': '{',
']': '[',
}
... | cl6222877/leetcode_gogo | 20.有效的括号.py | 20.有效的括号.py | py | 635 | python | en | code | 0 | github-code | 6 |
4510504745 | from tkinter import *
import tkinter as tk
import sqlite3
import sys
print("Imported")
con = sqlite3.connect("project.db")
print("Connected")
root = tk.Tk()
v = tk.IntVar()
v1 = tk.IntVar()
v2 = tk.IntVar()
v3 = tk.IntVar()
def createtable():
create = ("CREATE TABLE IF NOT EXISTS vehicle(NAME VARCHAR(200),"+
... | karankhat/Vehicle_Rental_Agency | python.py | python.py | py | 14,870 | python | en | code | 0 | github-code | 6 |
20899251668 | from utilities import *
def main():
# Sampling
print("Sampling the room...")
frames = sample_noise()
name, _ = write_noise("sample.wav", frames)
new_frames = create_noise(name)
name,_ = write_noise("whitenoise.wav", new_frames)
player = WavePlayerLoop("whitenoise.wav",True)
player.pl... | mx60s/tamuhack2019 | main.py | main.py | py | 944 | python | en | code | 2 | github-code | 6 |
24447759905 | from cloudify import ctx
from cloudify.decorators import operation
from cloudify.state import ctx_parameters as inputs
@operation
def set_floating_ip_on_port(**_):
"""
Use this operation when connecting a host to a floating IP. This operation
will set the `public_ip` runtime property on the host instance
... | Cloudify-PS/manager-of-managers | plugins/cmom/cmom/misc/ip.py | ip.py | py | 3,018 | python | en | code | 1 | github-code | 6 |
25632521939 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# __author__ = 'CwT'
from queue import Queue, Empty
import logging
import traceback
from selenium.common.exceptions import TimeoutException
from . import Global
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
class Scheduler(object):
def __init_... | futurelighthouse/crawler_sqlmap | crawler/util/scheduler.py | scheduler.py | py | 2,516 | python | en | code | null | github-code | 6 |
9439114675 | import shutil
import os
import random
import argparse
import sys
from xml.dom import minidom
import traceback
parser = argparse.ArgumentParser(description="Choose a random number of individual files from a data repository")
parser.add_argument("-fs", "--files", help="Set the path to the directory with the XML files", ... | fusion-jena/QuestionsMetadataBiodiv | data_repositories/random_file_selector.py | random_file_selector.py | py | 3,800 | python | en | code | 4 | github-code | 6 |
42287839856 | import argparse
import os.path
import glob
from snakePipes import __version__
def ListGenomes():
"""
Return a list of all genome yaml files (sans the .yaml suffix)
"""
dName = os.path.dirname(__file__)
genomes = [os.path.basename(f)[:-5] for f in glob.glob(os.path.join(dName, "shared/organisms/*.y... | maxplanck-ie/snakepipes | snakePipes/parserCommon.py | parserCommon.py | py | 12,233 | python | en | code | 355 | github-code | 6 |
29579806350 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 7 12:41:01 2018
@author: Akitaka
"""
# 1：ライブラリのインポート--------------------------------
import numpy as np #numpyという行列などを扱うライブラリを利用
import pandas as pd #pandasというデータ分析ライブラリを利用
import matplotlib.pyplot as plt #プロット用のライブラリを利用
from sklearn import cross_validation, ... | nakanishi-akitaka/python2018_backup | 1207/ml25.py | ml25.py | py | 1,632 | python | ja | code | 5 | github-code | 6 |
27857361755 | # Nombre: Diccionario.py
# Ovjetivo: Muestra el funcuinamiento de los diccionario
# Autor: Rafael Ochoa
# Fecha: 02/07/2019
lista = []
materias = {"Algoritmos": "100",
"Inteligencia Artificial": "69",
"Base de Datos": "100"}
lista.append(materias)
print(lista) | Rafa8a/Automatas2 | Diccionario.py | Diccionario.py | py | 287 | python | es | code | 0 | github-code | 6 |
21353904775 | from functools import lru_cache
class Solution:
def ladderLength(self, beginWord: str, endWord: str, wordList: [str]) -> int:
wordList.append(beginWord)
wordList = list(set(wordList))
s_len = len(beginWord)
n = len(wordList)
wd_ids = [i for i in range(n)]
w... | Alex-Beng/ojs | FuckLeetcode/127. 单词接龙.py | 127. 单词接龙.py | py | 1,603 | python | en | code | 0 | github-code | 6 |
73573190267 | import pymysql
from dbutils.pooled_db import PooledDB
class MysqlPool:
config = {
'creator': pymysql,
'host': "127.0.0.1",
'port': 3306,
'user': "tron",
'password': "123456",
'db': "vecrv_sun_airdrop_claimed",
'charset': 'utf8',
'maxconnections': 70,... | dpneko/pyutil | mysql_client.py | mysql_client.py | py | 5,065 | python | zh | code | 0 | github-code | 6 |
36562104917 | import sys
from scipy.sparse import csr_matrix
import numpy
import re
from collections import Counter
number = '[0-9]+'
isNumber = re.compile(number)
FREQ_THRESH = 5
def normalize_word(word):
if isNumber.search(word):
return '---$$$---'
else:
return word
def trim_vocab(vocab):
... | mfaruqui/vector-semantics | src/nn/process_parallel_data.py | process_parallel_data.py | py | 3,788 | python | en | code | 5 | github-code | 6 |
34181193922 | # -*- coding: utf-8 -*-
"""
Created on Fri May 8 14:11:28 2020
@author: Kollarlab
"""
from Instruments.HDAWG import HDAWG
from Instruments.SGS import RFgen
import numpy
import time
import sys
import scipy
import pylab
import scipy.optimize
from mplcursors import cursor as datacursor
import threading
from userfuncs... | MRitter95/Kollar-Lab | Old_scripts_delete_20220804/Control/DataFigureExample.py | DataFigureExample.py | py | 8,375 | python | en | code | 2 | github-code | 6 |
24532771859 | import os
raw_img_src = "../../Data/Input_Data/raw_img_data/"
section_ids = ["r1","r2","r3","r4"]
img_type = "xpl"
for i in range(10):
for j in range(10):
if j != 0:
print(j)
break
break | JonasLewe/thesis_codebase | Code/testing/merged_img_generator.py | merged_img_generator.py | py | 245 | python | en | code | 0 | github-code | 6 |
19855461730 | import tkinter as tk
class TabFrameTemplate(tk.Frame):
def __init__(self,parent):
self.parent = parent
super().__init__(self.parent)
self["width"] = 1000
self["height"] = 500
self["bg"] = "green"
self.canvas = tk.Canvas(self,bg="#F3BFB3",width=800,height=500)
... | wrrayos/InventoryCustodianSlip | templates/tabFrameTemplate.py | tabFrameTemplate.py | py | 1,656 | python | en | code | 0 | github-code | 6 |
39045297717 | import copy
import coordinates as cor
import ctypes
import os
import Email_Sender_Machine as esm
import PyGameSource as pgs
import TreeCalc as tc
import pygame, sys
import math
os.system('cls')
PI = math.pi
pygame.init()
os.system('cls')
windowSize = pygame.display.get_desktop_sizes()
print(windowSize)
window = p... | Matin-Modarresi/connect-four | connect four/connect_four.py | connect_four.py | py | 3,851 | python | en | code | 0 | github-code | 6 |
15896435397 | """
RED NEURONAL CONVOLUCIONAL,
Dataset con fotos de Humanos y Caballos
"""
import tensorflow as tf
from keras.preprocessing.image import ImageDataGenerator # Genera las imagenes
# Preprocesado
# Rescala las imagenes del Train
train_datagen = ImageDataGenerator(rescale = 1./255,
... | karlosmir/ML-Projects | ML/RNC01.py | RNC01.py | py | 2,915 | python | es | code | 0 | github-code | 6 |
4369691360 | import pandas as pd
import numpy as np
import tensorflow as tf
import tensorflow_text as text
import pickle
import argparse
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.models import load_model
from sklearn.metrics imp... | chennychenchen99/AutoScorer | models/trained_model_files/calculate_test_performance.py | calculate_test_performance.py | py | 2,875 | python | en | code | 0 | github-code | 6 |
8273446218 | from django.http import HttpResponse
from django.core.cache import cache
from custom_cache_page.utils import hash_key
class TestCache:
def test_cache_page(self, request_factory, mock_cached_view):
request = request_factory.get('/bo')
mock_cached_view(request)
cached_response = cache.get(ha... | kishan-character/django-custom-cache-page | tests/test_cache.py | test_cache.py | py | 510 | python | en | code | null | github-code | 6 |
32400182580 | #!/usr/bin/env python
# coding=utf-8
import pylirc
class Buttons:
# 初始化，这里的app需要和调用它的文件名称一致，conf需要和之前实验中irexec地址一致，"/etc/lirc/irexec.conf"
def __init__(self, app, conf):
if not pylirc.init(app, conf, 1):
raise Exception("Unable to init pylirc")
# 阻塞模式关闭
pylirc.blocking(0)
... | chronosmaker/RPiRadio | Buttons.py | Buttons.py | py | 623 | python | en | code | 0 | github-code | 6 |
11769609560 | #Lets check anagrams.
"""
Anagram is a word, phrase or name formed by rearranging the
letters of another word. Like spar from rasp
"""
def anagram(st1:str, st2:str) ->bool:
st_len = len(st1)
tru = []
for f in st1:
if f in st2:
tru.append(True)
else:
tru.append(Fals... | Kamalabot/Programmers57Challenges | exe24_anagram.py | exe24_anagram.py | py | 719 | python | en | code | 1 | github-code | 6 |
10220457455 | from typing import List
from nazurin.models import Illust, Image, Ugoira
from nazurin.utils import Request
from nazurin.utils.decorators import network_retry
from nazurin.utils.exceptions import NazurinError
from nazurin.utils.logging import logger
from .base import BaseAPI
class SyndicationAPI(BaseAPI):
"""Pub... | y-young/nazurin | nazurin/sites/twitter/api/syndication.py | syndication.py | py | 2,028 | python | en | code | 239 | github-code | 6 |
14512503096 | psw = input('Введите пароль: ') #запрос ввода пароля
msg = 'Ваш пароль состоит только из цифр' # задаем "по-умолчанию" значение сообщения, которое будет выводиться после ввода пароля
psw_len = len(psw) #вычисление длинны пароля
try:
result_1 = 2/psw_len # проверка пустого пароля
result_2 = int(psw) # проверка ... | zarubb/ps-pb-psw_vrf | app.py | app.py | py | 958 | python | ru | code | 0 | github-code | 6 |
27022192120 | import cv2
import numpy as np
kernel = np.ones((5,5),np.uint8)
# Take input from webcam
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
#Guassian blur to reduce noise
frame = cv2.GaussianBlur(frame,(5,5),0)
#bgr to hsv
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
... | ashwin876/Ball_Tracking_Python | Green_ball_Tracking.py | Green_ball_Tracking.py | py | 2,342 | python | en | code | 0 | github-code | 6 |
14560619174 | import os
from pathlib import Path
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from astropy.time import Time
from astropy.coordinates import solar_system_ephemeris # , EarthLocation
from astropy.coordinates import get_body_barycentric
solar_system_ephemeris.set('de432s')
def get_planet... | caron14/swingby_challenge | planet_position.py | planet_position.py | py | 3,877 | python | en | code | 0 | github-code | 6 |
39270259657 | import datetime as dt
import re
import time
import requests
import html5lib
from bs4 import BeautifulSoup
import googleapiclient.discovery
import google.auth
def get_calendar_html(year, month):
CALURL = "https://syllabus.naist.jp/schedules/preview_monthly"
text = requests.get(f"{CALURL}/{str(year)}/{str(mont... | Masahiro-Kobayashi-NAIST/NAIST-Class-to-Google-Calander | naist-calendar.py | naist-calendar.py | py | 4,663 | python | en | code | 0 | github-code | 6 |
30217414474 | import matplotlib.pyplot as plt
plt.plot([1,2,3],[4,5,4], color = '#21c4ed', linestyle='dashed', marker='o')
# erste Liste die X-Werte, zweite Liste Y-Werte
# color via HEX - Farbe finden über color picker (google)
# allgemeine Infos = https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot
#linestyle = http... | ThePeziBear/MyPythonLibrary | Visualizing_Python/Matplotlib/1_General_Matplotlib_settings.py | 1_General_Matplotlib_settings.py | py | 4,912 | python | de | code | 0 | github-code | 6 |
32543172289 | import aioredis
import pytest
from aiorate_limiter import RateLimiterOpts
from aiorate_limiter.storage.redis import RedisRateLimiter, REDIS_SCRIPT_HASH
@pytest.fixture
async def redis():
redis = await aioredis.create_redis("redis://localhost:6379")
yield redis
redis.close()
await redis.wait_closed(... | theruziev/aiorate_limiter | tests/storages/test_redis_rl.py | test_redis_rl.py | py | 1,623 | python | en | code | 2 | github-code | 6 |
7002248991 | from ...flaskapp.utils.db_utils import conn
from ...common.constants import CURRENT_TERM
from ...flaskapp.utils.utils import previous_term
from ..utils import student_utils as student
def transcript_is_outdated(user_id):
cur.execute("""SELECT term_year, term_month
FROM students_completed_courses scc
... | minupalaniappan/gradfire | daviscoursesearch/flaskapp/service/user.py | user.py | py | 1,113 | python | en | code | 12 | github-code | 6 |
40677398663 | from magma.configuration_controller.request_consumer.request_db_consumer import (
RequestDBConsumer,
)
from magma.db_service.config import TestConfig
from magma.db_service.models import (
DBCbsd,
DBCbsdState,
DBRequest,
DBRequestType,
)
from magma.db_service.session_manager import Session
from magma... | magma/magma | dp/cloud/python/magma/configuration_controller/tests/unit/test_request_consumer.py | test_request_consumer.py | py | 3,787 | python | en | code | 1,605 | github-code | 6 |
15598827362 | import torch
from torch import nn
from torch.nn import init
# L2 Norm: solve "feature map" scale inconsistent
class L2Norm(nn.Module):
def __init__(self, n_channels, scale):
super(L2Norm, self).__init__()
self.n_channels = n_channels
self.gamma = scale or None
self.eps = 1e-10
... | AceCoooool/detection-pytorch | ssd/utils_ssd/L2Norm.py | L2Norm.py | py | 752 | python | en | code | 24 | github-code | 6 |
9781742668 | INF=float('inf')
G = [[0, 3, INF, 5],
[2, 0, INF, 4],
[INF, 1, 0, INF],
[INF, INF, 2, 0]]
nV = 4
distance = list(map(lambda i: list(map(lambda j: j, i)), G))
print(distance)
for k in range(nV):
for i in range(nV):
for j in range(nV):
distance[i][j] = min(di... | wiksat/AlghorithmsAndDataStructures | ASD/BeforeExam/egzamin_2_szablony/Floyd-Warshall.py | Floyd-Warshall.py | py | 622 | python | en | code | 0 | github-code | 6 |
17035760804 | # グラフのパス (paizaランク C 相当)
# https://paiza.jp/works/mondai/graph_dfs_problems/graph_dfs__path_one_step3
INPUT1 = """\
3 1 2
"""
OUTPUT1 = """\
1 2 3
"""
INPUT2 = """\
5 5 3
"""
OUTPUT2 = """\
5 4 3 2
"""
def main(input_str):
# n: 頂点数, s: 起点, k: 回数
n, s, k = map(int, input_str.split())
# 隣接リスト
ad_list ... | atsushi0919/paiza_workbook | graph_dfs_problems/01-03_path_one_step3.py | 01-03_path_one_step3.py | py | 997 | python | ja | code | 0 | github-code | 6 |
5479410467 | import itertools
from copy import deepcopy
from random import shuffle
from .type_utils import is_seq_of
def concat_seq(in_list, dtype):
assert dtype in [list, tuple]
return dtype(itertools.chain(*in_list))
def concat_list(in_list):
return concat_seq(in_list, list)
def concat_tuple(in_list):
return... | haosulab/ManiSkill2-Learn | maniskill2_learn/utils/data/seq_utils.py | seq_utils.py | py | 2,031 | python | en | code | 53 | github-code | 6 |
27937206338 | import re
from .Enums import SelectionMode
from .Exceptions import SelectionReuseException
from . import Database
__author__ = 'Riley Flynn (nint8835)'
class DatabaseSelection:
"""
Represents a selection of items from a JSON DB.
Can have items retrieved from it, or can be modified.
Upon modification... | nint8835/NintbotForDiscord | libraries/JSONDB/Selection.py | Selection.py | py | 4,508 | python | en | code | 1 | github-code | 6 |
39122705161 | from flask import*
from database import DB,CR
teacher=Blueprint("teacher",__name__)
@teacher.route("/")
def TeacherHome():
return render_template("teacherhome.html")
@teacher.route("/answerquestion",methods=["post","get"])
def AnswerQuestion():
CR.execute("SELECT * FROM sdatabase")
qanda=CR.fetchall()
... | ShanoliaJoseph/flask | teacher.py | teacher.py | py | 1,145 | python | en | code | 0 | github-code | 6 |
21056363812 | import torch
import torchvision
from torchvision import models
import torchvision.transforms as transforms
from torchvision.transforms import ToPILImage
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
import numpy as np
import time
from func... | modusV/Machine-Learning-Homeworks | HW3/main.py | main.py | py | 9,042 | python | en | code | 0 | github-code | 6 |
71484026108 | import sys
import heapq
if sys.version[0] == '2':
range, input = xrange, raw_input
MAX_SPEED = 30
dvs = (-1, 0, 1)
while True:
N, M = map(int, input().split())
if not (N | M):
break
S, G = map(lambda x: int(x) - 1, input().split())
edge = [[] for _ in range(N)]
for _ in range(M):
... | knuu/competitive-programming | aoj/11/aoj1162.py | aoj1162.py | py | 1,221 | python | en | code | 1 | github-code | 6 |
15447622348 | import pyglet
class Tower:
def __init__(self, pos):
super().__init__()
self.pos = pos
class TownHall(Tower):
def __init__(self, pos):
super().__init__(pos)
self.image = pyglet.image.load('./Assets/town hall.png')
self.image.anchor_x = self.image.width // 2
sel... | dungcatcher/siege | towers.py | towers.py | py | 543 | python | en | code | 0 | github-code | 6 |
32285228189 | #!/usr/bin/env python
from inv_memo import *
bin_file = './memo'
context(os = 'linux', arch = 'amd64')
# context.log_level = 'debug'
#==========
env = Environment('debug', 'local', 'remote')
env.set_item('mode', debug = 'DEBUG', local = 'PROC', remote = 'SOCKET')
env.set_item('target', debug = {'argv':[bin_fil... | shift-crops/CTFProblemArchive | 2019/CODE BLUE CTF/InvisibleMemo/exploit/exploit_memo_probably_4096.py | exploit_memo_probably_4096.py | py | 1,692 | python | en | code | 1 | github-code | 6 |
30754540175 | for _ in range(int(input())):
n = int(input())
candles = list(map(int, input().split(' ')))
candles = sorted(candles, reverse=True)
if len(candles) == 1:
if candles[0] > 1:
print('NO')
else:
print('YES')
else:
if candles[0] > candles[1] + 1:
... | Tanguyvans/Codeforces | 780/B.py | B.py | py | 376 | python | en | code | 0 | github-code | 6 |
20921242416 | import networkx as nx
from graph_manager.graph_tools import clusters_dict2clusters_list
from graph_manager.plot_tools import *
def louvain(G, resolution=1, eps=0.001):
clusters_dict = maximize(G, resolution, eps)
n = len(clusters_dict)
k = len(set(clusters_dict.values()))
while k < n:
H = aggr... | sharpenb/Multi-Scale-Modularity-Graph-Clustering | Scripts/clustering_algorithms/louvain.py | louvain.py | py | 2,921 | python | en | code | 2 | github-code | 6 |
71780099388 | from django.contrib.auth.models import AbstractUser
from django.core.validators import RegexValidator
from django.db import models
class User(AbstractUser):
'''Модель пользователя'''
email = models.EmailField(
verbose_name='Электронная почта',
max_length=254,
unique=True,
db_i... | GirzhuNikolay/foodgram-project-react | backend/users/models.py | models.py | py | 1,353 | python | en | code | 0 | github-code | 6 |
32724523948 | import tornado.ioloop
import tornado.web
import hashlib
import uuid
import json
from time import mktime
from datetime import datetime
from email.utils import formatdate
up_user = ''
up_password = ''
up_method = 'PUT'
up_host = 'v1.api.upyun.com'
up_path = '/bucket/'
up_base_url = "http://bucket.b0.upaiyun.com/%s"
... | zhicheng/storage | main.py | main.py | py | 1,410 | python | en | code | 1 | github-code | 6 |
13925195329 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 18 17:27:59 2018
@author: du
This is neural network configuration file
"""
num_epoch = 1000
batch_size = 32
milestones = [2]
max_len = 40
hidden_size2 = 50 # hidden size for image feature
hidden_size = 50 # hidden size for superimpoed text fea... | yuhaodu/TwitterMeme | step2_MemeClassifier/.ipynb_checkpoints/classifier_utils-checkpoint.py | classifier_utils-checkpoint.py | py | 573 | python | en | code | 6 | github-code | 6 |
42029059098 | import torch
import time
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
from torchvision import transforms
import os
from Network import FullyConvNet
from Network import train
from PIL import Image
import numpy as np
import argparse
import cv2
from ser... | qLethon/bin_picking_robot | main.py | main.py | py | 8,023 | python | en | code | 0 | github-code | 6 |
30071759044 | import pandas as pd
from tensorflow import keras
import os
import numpy as np
from sklearn.preprocessing import MinMaxScaler
class AbundanceGenerator(keras.utils.Sequence):
def __init__(self, abundance_file,species,batch_size=32, shuffle=True,to_fit=True):
'Initialization'
self.abundance_file=abund... | uclchem/Chemulator | src/abundancegenerator.py | abundancegenerator.py | py | 1,233 | python | en | code | 6 | github-code | 6 |
20031000434 | import sys
from PIL import Image
Image.MAX_IMAGE_PIXELS = 1000000000
image = Image.open("WAC_TIO2_COMBINED_MAP.png")
width, height = image.size
print("width",width,end=" ")
print("height",height,end=" ")
aspect_ratio = width/height
print("aspect_ratio",aspect_ratio)
if aspect_ratio == 2:
print("aspect ratio alre... | Sven-J-Steinert/DLR_Paper_2023 | maps/preparation/TiO2/old/02_place_in_global.py | 02_place_in_global.py | py | 1,072 | python | en | code | 0 | github-code | 6 |
26042346056 | from __future__ import annotations
from dataclasses import dataclass
from typing import Any
from pants.bsp.spec.base import BuildTargetIdentifier
# -----------------------------------------------------------------------------------------------
# Compile Request
# See https://build-server-protocol.github.io/docs/spec... | pantsbuild/pants | src/python/pants/bsp/spec/compile.py | compile.py | py | 4,430 | python | en | code | 2,896 | github-code | 6 |
2772686666 | '''有K种不同的玫瑰花，现在要摆放在N个位置上，要求每种颜色的花至少出现过一次，请问有多少种不同的方案数呢？，因为答案可能很大，你只需要输出它对772235取余后的结果.
输入描述:
输入只有1行，分别有两个整数N,K( 1 <= N <= 50000 , 1 <= K <= 30 )
输出描述:
输出一行表示答案
输入例子1:
3 2
输出例子1:
6
'''
def fun(k,n): ### K 种花 无限取 求出取出总共为n种花的分布情况
res = [0]
t = math.factorial(n+k)%772235
help(k,0,n,res,t)
return res[0... | queryor/algorithms | gatherAlgorithms/玫瑰花.py | 玫瑰花.py | py | 1,573 | python | zh | code | 0 | github-code | 6 |
8915987730 | #Faça um programa que leia dois números inteiros e informe se estes são iguais ou diferentes
#Solcitando os numeros ao user e salvando nas variaveis correspondentes
n1 = int(input("Digite o primeiro número "))
n2 = int(input("Digite o segundo número "))
#Veririficando se os valores são iguals e informando ao usuário
... | lucasnasc46/curso-python22 | Desafaio 1/questao2.py | questao2.py | py | 422 | python | pt | code | 0 | github-code | 6 |
19705741714 | # https://www.beecrowd.com.br/judge/pt/problems/view/1173?origem=1
lista = list(range(10))
entrada = 51
while entrada > 50:
entrada = int(input())
lista[0] = entrada
print(f"N[0] = {lista[0]}")
for i in range(1, 10):
lista[i] = lista[i - 1] * 2
print(f"N[{i}] = {lista[i]}")
| caioopra/URI-Beecrowd | 1173.py | 1173.py | py | 291 | python | pt | code | 0 | github-code | 6 |
72774182909 | class Solution(object):
# brute force
def minDistanceBrute(self, word1, word2):
"""
:type word1: str
:type word2: str
:rtype: int
"""
if len(word1)==0:
return len(word2)
if len(word2)==0:
return len(word1)
if word1[0]==word2... | V-nsh/DSA | leetcode/leetcode75/DP_mult/72_edit_distance.py | 72_edit_distance.py | py | 2,597 | python | en | code | 1 | github-code | 6 |
72908363068 | # -*- coding: utf-8 -*-
from odoo import models, fields, api, _
from dateutil.relativedelta import relativedelta
from odoo.exceptions import ValidationError, UserError
from datetime import datetime, timedelta
from odoo.http import request
class OpAdmissionRegisterCustom(models.Model):
_inherit = "op.admi... | mrrtmob/odoo_acac | local-addon/pm_admission/models/pm_admission.py | pm_admission.py | py | 30,867 | python | en | code | 0 | github-code | 6 |
27920291546 | import os
import time
import numpy as np
import pandas as pd
import logging
import shutil
from pathlib import Path
from deep_squeeze.disk_storing import calculate_compression_ratio
def repeat_n_times(n):
"""
A decorator that repeats a decorated function (in our case the compression pipeline) n times and retu... | MikeXydas/DeepSqueeze | deep_squeeze/experiment.py | experiment.py | py | 5,487 | python | en | code | 10 | github-code | 6 |
40176552944 | import os
import sys
import cv2
import PIL
import pprint
import pytesseract
import time
SRC_DIR = os.path.dirname(os.path.realpath(__file__))
sys.path.append(SRC_DIR)
#print(sys.path)
import fetch
import display
import filter
page_seg_mode = 11 # Parse sparse text
def group_names(data):
d2 = dict2list(data)
n... | JohnMcAninley/beer-goggles | goggles/extract.py | extract.py | py | 6,035 | python | en | code | 0 | github-code | 6 |
16414819917 | from sklearn import cross_validation
f = open("Pubmed-Diabetes/data/Pubmed-Diabetes.DIRECTED.cites.tab")
m = open("Pubmed-Diabetes/data/Pubmed-diabetes.NODE.paper.tab")
#define the dataset
dataList = []
# dataList[i] = [paper_id + class_label + word_attributed + [citing paper + cited paper]]
#construct the data from ... | randywhisper/DataAnalyst_py583 | code/structed_Pub.py | structed_Pub.py | py | 1,727 | python | en | code | 2 | github-code | 6 |
26804210661 | inside_edges = []
edge_to_pen = {}
num_pens = int(input())
for pen_idx in range(num_pens):
data = [int(data) for data in input().split()]
num_edges = data[0]
corners = data[1: num_edges + 1]
edges = [tuple(sorted([corners[idx], corners[(idx + 1) % num_edges]]))
for idx in range(num_edges)... | Stevan-Zhuang/DMOJ | CCC/CCC '10 S4 - Animal Farm.py | CCC '10 S4 - Animal Farm.py | py | 1,289 | python | en | code | 1 | github-code | 6 |
72509864189 | from flask import (
Blueprint,
render_template,
request, redirect,
session,
flash,
url_for,
abort,
)
from .models import *
from flask_mail import Message
from flask_login import current_user, login_required
from sqlalchemy.exc import SQLAlchemyError
from Hispanist_flask import mail
from Hisp... | vecherninanika/Hispanist_Flask | Hispanist_flask/my_app/pages.py | pages.py | py | 3,473 | python | en | code | 0 | github-code | 6 |
18476191196 | import tornado.httpserver
import tornado.ioloop
import tornado.web
import json
import webapp
import RF24module
import time
import database
global radioNodi
global dbn
class GetListaNodiSettingHandler(tornado.web.RequestHandler):
def get(self):
#***************************************
#**********... | salviador/LightHub | raspberry/app/AggiungiNodi.py | AggiungiNodi.py | py | 5,476 | python | it | code | 0 | github-code | 6 |
11506766967 | # брой правоъгълни маси
# дължина на масите
# ширина на масите
# размер на покривки = дължина + ширина на масите + 120
# карета = дължина на маса / 2
# долар = 1.85
tables_all = int(input())
tables_length = float(input())
tables_width = float(input())
covers = tables_all * (tables_length + 2 * 0.30) * (tab... | PIvanov94/SoftUni-Software-Engineering | PB-Python April 2020 Part 2/Tailoring Workshop.py | Tailoring Workshop.py | py | 752 | python | bg | code | 0 | github-code | 6 |
40696903853 | import argparse
import logging
import sys
def create_parser():
parser = argparse.ArgumentParser(
"Get magma managed configs for the specified service. (mconfig)",
)
parser.add_argument(
"-s", "--service",
required=True,
help="Magma service name",
)
parser.add_argume... | magma/magma | orc8r/gateway/python/scripts/magma_get_config.py | magma_get_config.py | py | 1,967 | python | en | code | 1,605 | github-code | 6 |
6701340278 | import cv2
import numpy as np
import imgaug.augmenters as iaa
import imgaug as ia
import torchvision
from torchvision import transforms
from PIL import Image, ImageEnhance, ImageOps
from RandAugment.augmentations import Lighting, RandAugment
class ResizeImage(object):
def __init__(self, height=256, width=256):
... | toandaominh1997/ProductDetectionShopee | datasets/augment.py | augment.py | py | 8,295 | python | en | code | 0 | github-code | 6 |
75131969148 | # -*- coding: utf-8 -*-
"""https://blog.csdn.net/zwq912318834/article/details/79870432"""
import scrapy
from selenium import webdriver
import time
from scrapy import signals # scrapy 信号相关库
from pydispatch import dispatcher # scrapy最新采用的方案
class LoginBlibliSpider(scrapy.Spider):
name = 'login_bl... | hahahei957/NewProject_Opencv2 | use_of_selenium/use_of_selenium/spiders/login_blibli.py | login_blibli.py | py | 1,782 | python | en | code | 0 | github-code | 6 |
18244671014 | from os import path, mkdir, listdir
import configparser
import utils
def default_config(config):
"""Put here the content of the default configuration file"""
config['vosk'] = {'project_name': 'vosk',
'model_name': '',
'models_url': 'https://alphacephei.com/vosk/mode... | cg-Kdaf/Zacharias | src/private_data.py | private_data.py | py | 4,247 | python | en | code | 0 | github-code | 6 |
18049656660 | #! /usr/bin/env python3
# pyre-strict
import os
from common_tests import CommonTestDriver
from test_case import TestCase
class HierarchyTests(TestCase[CommonTestDriver]):
@classmethod
def get_template_repo(cls) -> str:
return "hphp/hack/test/integration/data/hierarchy"
def test_inheritance(self... | WeilerWebServices/Facebook | hhvm/hphp/hack/test/integration/hierarchy_tests.py | hierarchy_tests.py | py | 4,662 | python | en | code | 3 | github-code | 6 |
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