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 โ | dataset stringclasses 1
value | pt stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
13588905096 | import numpy as np
from sklearn.decomposition import PCA
# Calculate the average of the list
def calculate_list_avg(lst):
if len(lst) == 0:
avg_list = 0.0
else:
avg_list = sum(lst) / len(lst)
return avg_list
# Extract the information for each sample
def extract_msg(mrna_exp... | yiangcs001/CSPRV | extract_features.py | extract_features.py | py | 5,370 | python | en | code | 0 | github-code | 6 |
36814841108 | import importlib
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_assets import Environment
from flask_socketio import SocketIO
from config import config
db = SQLAlchemy()
migrate = Migrate()
assets = Environment()
socketio = SocketIO()
def create_app(confi... | reaper47/weather | app/__init__.py | __init__.py | py | 1,223 | python | en | code | 0 | github-code | 6 |
31871823537 | from http.server import HTTPServer, SimpleHTTPRequestHandler, BaseHTTPRequestHandler, test
import json
import io, shutil,urllib
from raidtool import get_models
host = ('localhost', 8888)
class CORSRequestHandler(SimpleHTTPRequestHandler):
def end_headers(self):
self.send_header('Access-Control-Allow-Origi... | a1992012015/find-tool | tool/api.py | api.py | py | 1,861 | python | en | code | 14 | github-code | 6 |
43535235941 | # function which returns the correct number entered by the user
def validate(numberPosition):
correctNumberEntered=False
while correctNumberEntered == False:
# Exception Handling using try except block
try:
if numberPosition==1:
# Converting the entered number to Int datatype
number=int(input("\nEnter ... | PratikAmatya/8-bit-adder-Python-Program | Program Files/NumberValidation.py | NumberValidation.py | py | 1,028 | python | en | code | 0 | github-code | 6 |
15444668840 |
from champ2.models import *
#======================================================
def matrice_value_set_incomplete_count(matrice_value_set):
#check to see that counts match up
metrics_count = MatriceMetric.objects.all().count()
values_count = matrice_value_set.values.filter(value__isnull=False).co... | adamfk/myewb2 | myewb/apps/champ2/helper.py | helper.py | py | 1,167 | python | en | code | null | github-code | 6 |
27259885900 | """We are the captains of our ships, and we stay 'till the end. We see our stories through.
"""
"""515. Find Largest Value in Each Tree Row
"""
from collections import deque
class TreeNode:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class Solution:
d... | asperaa/back_to_grind | Trees/largestValues.py | largestValues.py | py | 1,007 | python | en | code | 1 | github-code | 6 |
38601541912 | #!/usr/bin/python3
import argparse
import sys
import json
import dballe
__version__ = '@PACKAGE_VERSION@'
def main(inputfiles, out):
importer = dballe.Importer("BUFR")
out.write('{"type":"FeatureCollection", "features":[')
for f in inputfiles:
with importer.from_file(f) as fp:
is_f... | ARPA-SIMC/bufr2json | bufr2json.py | bufr2json.py | py | 2,639 | python | en | code | 0 | github-code | 6 |
21160846100 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 30 19:00:57 2018
@author: HP
"""
from numpy import asarray
from numpy import zeros
import numpy as np
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential, Model
from keras.la... | mharish2797/DNN-Text-Classifiers | Simple DNN classifiers/Brown Corpus based basic DNN Classifiers/Brown_classifier with parallel network.py | Brown_classifier with parallel network.py | py | 4,703 | python | en | code | 2 | github-code | 6 |
18601147125 | from . import utils
from . import s_1040
data = utils.parse_values()
###################################
def build_data():
form_1040 = s_1040.build_data()
data_dict = {
'ssn' : data['ssn'],
'first_and_initial' : data['name_first'] + ' ' + data['name_middle_i'],
'last' ... | pyTaxPrep/taxes-2018 | forms/s_1040v.py | s_1040v.py | py | 1,004 | python | en | code | 31 | github-code | 6 |
70488535867 | # accepted on codewars.com
import math
# max recursion depth exceeded for the max text value = 9000000000000000000
def count_digit_five(max_num: int) -> int:
memo_table = [-1] * len(str(max_num))
def recursive_seeker(n: int) -> int:
if n < 10:
if n < 5:
return 0
... | LocusLontrime/Python | CodeWars_Rush/_4kyu/Dont_give_me_five_Really_4kyu.py | Dont_give_me_five_Really_4kyu.py | py | 3,693 | python | en | code | 1 | github-code | 6 |
17668930312 | #!/usr/bin/env python3
# Compare event boundary timing in HMMs from cortical Yeo ROIs
# to timing in hand(RA)-labeled events
import os
import tqdm
import brainiak.eventseg.event
from scipy.fftpack import fft,ifft
from scipy.stats import zscore, norm, pearsonr
from HMM_settings import *
from event_comp import ev_conv,... | samsydco/HBN | HMM_vs_hand.py | HMM_vs_hand.py | py | 1,502 | python | en | code | 2 | github-code | 6 |
15983166378 | # Mjolnir
from ...infrastrcutures.dynamo.infrastructure import DynamodbInfrastructure
# Third party
from boto3.dynamodb.conditions import Key
from decouple import config
class DynamodbRepository:
infra = DynamodbInfrastructure
@classmethod
async def get_items(cls, key: str, value: str) -> list:
... | vinireeis/Mjolnir | src/repositories/dynamodb/repository.py | repository.py | py | 895 | python | en | code | 0 | github-code | 6 |
342809739 | from collections import OrderedDict
import numpy as np
import pandas as pd
import requests
from bs4 import BeautifulSoup
import re
df = pd.read_csv('pd_url_list_short.csv') #df ๋ณ์๋ก csv ํ์ผ์ ์ฝ์ด์ต๋๋ค.
#๊ธฐ์กด์ ์๋์ผ๋ก ์
๋ ฅํ๋ ํฌ๋กค๋ง ๋ฒ์๋ฅผ start์ end๋ก ์ง์ ํด์คฌ์ต๋๋ค.(ํด๋์ค ๋ง๋ค๋ ์
๋ ฅ)
class GetText(object):
def __init__(self, ulist, start, ... | nosangho/team_project | [02-15][junyang] wine21_save_loop.py | [02-15][junyang] wine21_save_loop.py | py | 6,458 | python | ko | code | 0 | github-code | 6 |
7759575517 | import serial
class SerialParameters:
def __init__(self, port=None, baudrate=9600, bytesize=serial.EIGHTBITS, parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE, timeout=None, xonxoff=False, rtscts=False,
write_timeout=None, dsrdtr=False, inter_byte_timeout=None, exclusive=N... | timhenning1997/Serial-Port-Monitor | SerialParameters.py | SerialParameters.py | py | 1,086 | python | en | code | 2 | github-code | 6 |
10914883697 | import sys
import pickle as pkl
import sciunit_tree
import ExecutionTree as exT
from algorithms import pc
def replay_sequence(tree_binary, cache_size, replay_order_binary):
sciunit_execution_tree, _ = sciunit_tree.tree_load(tree_binary)
tree = exT.create_tree('SCIUNIT', tree_binary)
tree.cache_size = cac... | depaul-dice/CHEX | src/replay/replay-order.py | replay-order.py | py | 972 | python | en | code | 0 | github-code | 6 |
18572100394 | #ๅคๆญๅผ
# x=input("่ฏท่พๅ
ฅๆฐๅญ:") #ๅๅพๅญไธฒๅฝขๅผ็ไฝฟ็จ่
่พๅ
ฅ
# x=int(x) #ๅฐๅญไธฒๅฝขๆ่ฝฌๆขๆๆฐๅญๅฝขๆ
# if x>200:
# print("ๅคงไบ 200")
# elif x>100:
# print("ๅคงไบ 100, ๅฐไบ็ญไบ 200")
# else:
# print("ๅฐไบ็ญไบ 100")
# ๅๅ่ฟ็ฎ
n1=int(input("่ฏท่พๅ
ฅๆฐๅญ1:"))
n2=int(input("่ฏท่พๅ
ฅๆฐๅญ2:"))
op=input("่ฏท่พๅ
ฅ่ฟ็ฎ: + , - , * , / =")
if op=="+":
print(f"{n1}ๅ {n2}็ญไบ{n1+n2}") #ๅๆฅๆน
#... | yeste-rge/-Python-By- | ๅฝญๅฝญ/#06 ๆต็จๆงๅถ๏ผif ๅคๆทๅผ/condition.py | condition.py | py | 805 | python | zh | code | 1 | github-code | 6 |
37552127134 | from utils.utils import getLinesOfFile
def getPriority(char: str):
asciiVal = ord(char[0])
if(asciiVal>=97 and asciiVal<=122):
# lettera minuscola
return asciiVal-96
else:
#lettera maiuscola
return asciiVal - 65 + 27
def findLetterInBothString(s1,s2):
for char in s1:
... | liuker97/adventOfCode2022 | src/day3/day3.py | day3.py | py | 1,216 | python | en | code | 0 | github-code | 6 |
19243874206 | import sys
from pathlib import Path
import environ
PROJECT_DIR = Path(__file__).resolve().parent
ROOT_DIR = PROJECT_DIR.parent
# Environment
ENV_FILE = "/etc/purldb/.env"
if not Path(ENV_FILE).exists():
ENV_FILE = ROOT_DIR / ".env"
env = environ.Env()
environ.Env.read_env(str(ENV_FILE))
# Security
SECRET_K... | nexB/purldb | purldb_project/settings.py | settings.py | py | 7,976 | python | en | code | 23 | github-code | 6 |
31812175593 |
def sqdlist(l):
i=0
while(i<len(l)):
l[i]=(l[i])**2
i=i+1
return l
#trace of a matrix
def trace(m):
if len(m)!= len(m[0]):
print('matrix is non-square')
else:
i=0
a=0
while i<len(m[0]):
a=a+m[i][i]
i=i+1
return a
#c... | cnc99/Collab | sqdlist.py | sqdlist.py | py | 580 | python | en | code | 0 | github-code | 6 |
30898444460 | #READING AND ORDERING
fin=open("cowjump.in", "r")
lines=fin.readlines()
n=int(lines[0])
lines.remove(lines[0])
#Sweep
points=[]
for i in range(n):
lines[i]=lines[i].split()
lines[i]=[int(x) for x in lines[i]]
beg=lines[i][0]>lines[i][2]
points.append([lines[i][0], lines[i][1], beg, i])
points.... | nomichka/2019-03-31-USACO-Silver | cowjump.py | cowjump.py | py | 3,850 | python | en | code | 0 | github-code | 6 |
28395932084 | import torch
from torch import optim
from torch import nn
from torch.utils import data
from data import AnimeDataset, LossWriter
from model import Generator, Discriminator
DATA_DIR = "../datasets/selfie2anime/all"
MODEL_G_PATH = "./Net_G.pth"
MODEL_D_PATH = "./Net_D.pth"
LOG_G_PATH = "./Log_G.txt"
LOG_D_PATH = "./Log_... | cwpeng-cn/DCGAN | train.py | train.py | py | 3,971 | python | en | code | 0 | github-code | 6 |
39920785113 | from flask import Flask, render_template, request, redirect, jsonify, after_this_request
from flask_cors import CORS
from app.trajectory import *
from app.ion import get_ion
from app.esp import *
esp_addr = ''
data = {}
app = Flask(__name__,
static_url_path='',
static_folder='static',
template_folder="templ... | Eugen171/gps | app/__init__.py | __init__.py | py | 1,952 | python | en | code | 0 | github-code | 6 |
39911784422 | import argparse
import time
import warnings
import pickle
import torch
import random
import numpy as np
import pandas as pd
import torch.nn.functional as F
from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments, ElectraForSequenceClassification, AdamW
from torch import ... | TEAM-IKYO/Open-Domain-Question-Answering | code/question_labeling/train.py | train.py | py | 5,127 | python | en | code | 24 | github-code | 6 |
32925752157 | import scrapy
import os
import wget
class BlogSpider(scrapy.Spider):
name = 'blogspider'
start_urls = ['https://www.va.gov/vdl/application.asp?appid=6']
def parse(self, response):
try:
link='https://www.va.gov/vdl/'
for title in response.xpath('//tr'):
sect=respon... | RamSailopal/VA-Markup | scrape3.py | scrape3.py | py | 1,537 | python | en | code | 0 | github-code | 6 |
27391464453 | import logging
import os
from urllib.parse import urljoin, urlunparse
from rdflib import Graph, Literal, Namespace
from rdflib.namespace import OWL, RDF, RDFS, XSD
from crunch_uml import const, db, util
from crunch_uml.excpetions import CrunchException
from crunch_uml.renderers.renderer import ModelRenderer, Renderer... | brienen/crunch_uml | crunch_uml/renderers/lodrenderer.py | lodrenderer.py | py | 6,268 | python | en | code | 0 | github-code | 6 |
19400181919 | from typing import List
import common.arrayCommon as Array
import heapq
class Solution:
def pondSizes(self, land: List[List[int]]) -> List[int]:
h = len(land)
w = len(land[0])
result = []
for i in range(h):
for j in range(w):
if land[i][j] == 0:
... | Yigang0622/LeetCode | pondSizes.py | pondSizes.py | py | 1,310 | python | en | code | 1 | github-code | 6 |
28487843956 | from ..database.userProgressPlans import \
userSkillProgressPlan, \
skillsMappedToSkillSet, \
collaboratorMappedToCollabSet, \
goalsMappedToGoalSets, \
goals, \
weeklySkillSetFeedBack, \
users, \
skills
from ..database.dbConnection import dbConnection
class usersDao(dbConnection):
... | mraison/work_profiling_app | work_profiling_app/modules/daos/daos.py | daos.py | py | 4,213 | python | en | code | 0 | github-code | 6 |
22257701787 | """Filters module with a class to manage filters/algorithms for polydata datasets."""
import collections.abc
import logging
import numpy as np
import pyvista
from pyvista import (
abstract_class, _vtk, NORMALS, generate_plane, assert_empty_kwargs, vtk_id_list_to_array, get_array
)
from pyvista.core.errors import ... | rohankumardubey/pyvista | pyvista/core/filters/poly_data.py | poly_data.py | py | 77,050 | python | en | code | 0 | github-code | 6 |
15835641511 | from config import db
class PricePerHour(db.Model):
id = db.Column(db.Integer, primary_key=True)
date_of_parsing = db.Column(db.String(10), nullable=False)
hour = db.Column(db.Integer, nullable=False)
price = db.Column(db.Float, nullable=False)
sales_volume_MWh = db.Column(db.Float, nullable=False... | BohdanLazaryshyn/rdn_test_task | models.py | models.py | py | 986 | python | en | code | 0 | github-code | 6 |
70065264188 |
'Program to create the Functional Requirement Classifer model and validate it'
from fileProcess import FileProcess
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.cross... | xiejen/rfpFunctionReqClf | classifier.py | classifier.py | py | 2,435 | python | en | code | 0 | github-code | 6 |
37300539440 | import csv
def add_topic_to_csv(url):
try:
id_start_index = url.find('/topics/') + len('/topics/')
id_end_index = url.find('?')
curid = url[id_start_index:id_end_index]
topic_name_start_index = url.rfind('/') + 1
topic_name = url[topic_name_start_index:id_start_index -
... | Lucascuibu/xis_topic_py | topic_grab/add_topic.py | add_topic.py | py | 652 | python | en | code | 0 | github-code | 6 |
29947747353 | """
Tesla Crystal for Tornado wallet
"""
import sys
import time
from os import path
from modules.basehandlers import CrystalHandler
from modules.i18n import get_dt_language
from modules.helpers import base_path
from modules.helpers import async_get_with_http_fallback
sys.path.append('crystals/420_tesla')
from bismuth... | bismuthfoundation/TornadoWallet | wallet/crystals/420_tesla/__init__.py | __init__.py | py | 7,537 | python | en | code | 14 | github-code | 6 |
17508342693 | from typing import List
class Solution:
def maxArea(self, height: List[int]) -> int:
i,j=0,len(height)-1
im,jm,mx=0,0,0
while i<j:
val = (j-i)*min(height[i],height[j])
if val > mx:
im,jm,mx=i,j,val
if height[i]<height[j]:
i+... | soji-omiwade/cs | dsa/before_rubrik/container_with_most_water.py | container_with_most_water.py | py | 426 | python | en | code | 0 | github-code | 6 |
73879522109 | # -*- coding: utf-8 -*-
import requests
import pandas as pd
import pytest
import urllib
import pprint
# ่ชฒ้ก1
def get_api(url):
result = requests.get(url)
return result.json()
def main():
keyword = "้ฌผๆป
"
url = "https://app.rakuten.co.jp/services/api/IchibaItem/Search/20170706?format=json&keyword={}&ap... | KanjiIshikawa-lab/Kadai6syuusei | kadai6_4.py | kadai6_4.py | py | 2,333 | python | en | code | 0 | github-code | 6 |
39174277833 | import numpy as np
import torch
from torch.utils.data import DataLoader
from random import seed
from dataset import MNIST
from network import FeedForward
from train_mnist import Train, TrainConfig
from plotter import Plotter
np.random.seed(1234)
seed(1234)
torch.manual_seed(1234)
if '__main__' == __name__:
da... | shalomma/PytorchBottleneck | ib_mnist.py | ib_mnist.py | py | 1,394 | python | en | code | 7 | github-code | 6 |
8267950596 | from __future__ import annotations
import socket
import pytest
from kombu import Connection, Consumer, Exchange, Producer, Queue
class test_PyroTransport:
def setup(self):
self.c = Connection(transport='pyro', virtual_host="kombu.broker")
self.e = Exchange('test_transport_pyro')
self.q... | celery/kombu | t/unit/transport/test_pyro.py | test_pyro.py | py | 2,892 | python | en | code | 2,643 | github-code | 6 |
26682571553 | import sys
import os
import re
import logging
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QComboBox, QPushButton, QLabel, QFileDialog, QMainWindow, QMessageBox, QCheckBox
from gui import Ui_MainWindow
from function import *
project_file = ".project"
cproject_file = ".cproject"
recove... | maivananh111/stm-edf | tools/setup/setup.py | setup.py | py | 38,714 | python | en | code | 0 | github-code | 6 |
34214181391 | t = int(input())
for _ in range(t):
lst = input().split(" ")
total = int(lst[0])
diff = 0
for i in range(1, len(lst)-1):
add = int(lst[i])
diff += max(add-total*2, 0)
total = add
print(diff)
| david-vinje/kattis-problems | Solutions/Zanzibar.py | Zanzibar.py | py | 213 | python | en | code | 0 | github-code | 6 |
28076023790 | from .gaussian_attention import gaussian_mask, gaussian_attention
from keras.layers import Layer
class VisualAttentionLayer(Layer):
def __init__(self, output_dim, transpose=False, **kwargs):
if len(output_dim) != 2:
raise ValueError("`output_dim` has to be a 2D tensor [Height, Width].")
... | zimmerrol/tf_keras_attention | src/gaussian_attention_layer.py | gaussian_attention_layer.py | py | 1,066 | python | en | code | 2 | github-code | 6 |
3536318559 | from django.db import models
class Task(models.Model):
username = models.CharField(verbose_name='ะะผั ัะพัััะดะฝะธะบะฐ', max_length=30)
task_name = models.CharField(verbose_name='ะขะตะบัั ะทะฐะดะฐัะธ', max_length=100)
per_day = models.PositiveIntegerField(
default=1,
verbose_name='ะะพะปะธัะตััะฒะพ ะฝะฐะฟะพะผะธะฝะฐะฝะธะน ... | DalaevBC/ping_bot | inside/models.py | models.py | py | 658 | python | en | code | 0 | github-code | 6 |
40199173264 | from django.test import TestCase
from django.urls import reverse
from . import utils
class TestView(TestCase):
"""
Test that access to views that accept get do not raise exception.
"""
def setUp(self) -> None:
self.views = [
{"name": 'index', 'requires_authentication': False},
... | Koffi-Cobbin/ACES-WEB | core/tests/test_views.py | test_views.py | py | 961 | python | en | code | 2 | github-code | 6 |
40367677442 | import pygame
import random
from Farm import Farm
from Lab import Lab
from Armor import Armor
from PowerPlant import PowerPlant
from Battery import Battery
from Engine import Engine
from Command_module import Comand_Module
from Warehouse import Warehouse
from Laser import Laser
from Biome import Biome
from Asteroid im... | Martian2024/PyGame_Project | Ship.py | Ship.py | py | 5,582 | python | en | code | 3 | github-code | 6 |
42602830723 |
from matplotlib import pyplot as plt
font = {'family':'sans-serif', 'sans-serif':'Arial'}
plt.rc('font', **font)
plt.title('', fontsize='x-large', pad=None)
plt.xlabel('', fontsize='x-large')
plt.ylabel('', fontsize='x-large')
# plt.xscale('log')
plt.tick_params(axis="both",direction="in", labelsize='x-large')
plt.su... | hitergelei/tools | plt-format.py | plt-format.py | py | 475 | python | en | code | 0 | github-code | 6 |
3528547150 | import os
import pytest
from dvclive.data.scalar import Scalar
from dvclive.keras import DvcLiveCallback
from tests.test_main import read_logs
# pylint: disable=unused-argument, no-name-in-module, redefined-outer-name
@pytest.fixture
def xor_model():
import numpy as np
from tensorflow.python.keras import S... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/tests/test_keras.py | test_keras.py | py | 4,219 | python | en | code | 3 | github-code | 6 |
71477711228 | import sys
sys.stdin = open('input.txt')
def cook(i, n, group1, group2):
global selection, result
# ์กฐํฉ ๊ฒฐ์ฑ์ return
if len(group1) == n//2 and len(group2) == n//2:
ans1 = 0
ans2 = 0
for i in range(n//2):
for j in range(i, n//2):
ans1 += data[group1[i]][grou... | YOONJAHYUN/Python | SWEA/4012_cook/sol2.py | sol2.py | py | 1,095 | python | en | code | 2 | github-code | 6 |
26248063876 | from datetime import datetime
import six
from oslo_config import cfg
from oslo_log import log
from oslo_utils import uuidutils, importutils
from delfin import db
from delfin.common.constants import TelemetryCollection, TelemetryJobStatus
from delfin.exception import TaskNotFound
from delfin.i18n import _
from delfin.... | sodafoundation/delfin | delfin/task_manager/scheduler/schedulers/telemetry/job_handler.py | job_handler.py | py | 9,923 | python | en | code | 201 | github-code | 6 |
23188032907 | # link : https://school.programmers.co.kr/learn/courses/30/lessons/172928
# title : ๊ณต์ ์ฐ์ฑ
def solution(park, routes):
for r_idx, i in enumerate(park):
for c_idx, j in enumerate(i):
if(j == "S"):
dog = Dog(park, c_idx, r_idx)
for inst in routes :
arg = inst.split(" ")... | yuseung0429/CodingTest | Programmers/Python/solved/Problem_172928.py | Problem_172928.py | py | 1,740 | python | en | code | 0 | github-code | 6 |
44793171293 | class Solution:
def levelOrder(self, root):
# ans = []
que = []
if root is None:
return
que.append(root)
while len(que) > 0:
data = que.pop(0)
if data.left:
que.append(data.left)
if data.right:
qu... | Shwaubh/LoveBabbarSolution | Binary Trees/Solution174LevelOrderTravesal.py | Solution174LevelOrderTravesal.py | py | 1,131 | python | en | code | 2 | github-code | 6 |
18769333881 | while(True):
m,n = map(int,input().split())
if not m: break
a = list(range(1,m+1))
b = [input() for _ in range(n)]
t = [str(i+1) for i in range(n)]
t[2::3] = ["Fizz"]*len(t[2::3])
t[4::5] = ["Buzz"]*len(t[4::5])
t[14::15] = ["FizzBuzz"]*len(t[14::15])
i=0
for j in range(n):
... | ehki/AOJ_challenge | python/0221.py | 0221.py | py | 494 | python | en | code | 0 | github-code | 6 |
37539866054 | import corexyLib
import motorLib
from time import sleep
import RPi.GPIO as GPIO
SQUARE_SIDE = 57.3
resolution = 'Half'
corexy = corexyLib.CoreXY(20, resolution, motorLib.Motor(20, 21, 1, (14, 15, 18), 400, resolution), motorLib.Motor(19, 26, 1, (14, 15, 18), 400, resolution), 0, 0)
corexy.motorA.initial_set_up()
corex... | Pearston/ReChess | motorEmbeddedCode/test_corexy.py | test_corexy.py | py | 1,248 | python | en | code | 0 | github-code | 6 |
5648159483 |
import sys
from typing import List, Optional, Tuple, cast
import unittest
def how_construct(target_string: str, strings: List[str]) -> Optional[List[str]]:
n = len(target_string) + 1
table: List[Optional[List[str]]] = [
[] if i == 0 else None for i in range(n)]
for i in range(n):
if table... | bradtreloar/freeCodeCamp_DP_problems | problems/tabulated/how_construct.py | how_construct.py | py | 1,311 | python | en | code | 0 | github-code | 6 |
21002262598 | import os
import pandas as pd
from natsort import natsorted
from openpyxl import load_workbook
dirName = './pozyxAPI_dane_pomiarowe'
def parse_learn_data():
data = pd.DataFrame()
for filename in natsorted(os.listdir(dirName)):
if filename.endswith(".xlsx"):
df = pd.read_excel(f"{dirName}/... | precel120/SISE | Task 2/excel.py | excel.py | py | 1,618 | python | en | code | 0 | github-code | 6 |
36837442603 | """
Ex 7.
Program description: The objective of this program is to create a function named โprint dateโ which will print in the format (from previously created list ).
The format is Month/Day/Year.
"""
days = ["Friday", "Saturday", "Sunday", "Monday", "Tuesday", "Wensday", "Thursday"]
year = 2021
month = 1
day = 23
... | Deepsphere-AI/AI-lab-Schools | Grade 09/Unit-1/Python/Nine_PPT_7.py | Nine_PPT_7.py | py | 682 | python | en | code | 0 | github-code | 6 |
27569063700 | class CityPlan:
def __init__(self, city_plan):
self.position = city_plan["position"]
self.criteria = city_plan["criteria"]
self.score1 = city_plan["score1"]
self.score2 = city_plan["score2"]
@property
def criteria(self):
return self._criteria
@propert... | maxlou188/WelcomeTo | city_plan.py | city_plan.py | py | 1,977 | python | en | code | 0 | github-code | 6 |
39380955921 |
#%% Imports
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from collections import defaultdict
from helpers import pairwiseDistCorr,nn_reg,nn_arch,reconstructionError
from matplotlib import cm
from sklearn.neural_network import MLPClassi... | SenRamakri/CS-7641-Assignment-3 | RP.py | RP.py | py | 3,594 | python | en | code | 0 | github-code | 6 |
18131109931 | import sys
N = int(input())
Nums = list(map(int, sys.stdin.readline().split()))
M = int(input())
Mums = list(map(int, sys.stdin.readline().split()))
Nums.sort()
def binary_search(answer):
start = 0
end = N - 1
while start <= end:
mid = (start + end) // 2
if Nums[mid] == answer:
... | Hyeneung-Kwon/Baekjoon_Python | 1920.py | 1920.py | py | 563 | python | en | code | 0 | github-code | 6 |
45478158273 | # Parse Data from hex data helper class.
from common.types import *
class ParseHelper:
@staticmethod
def getData(rawdata, format_info):
data_type = format_info[0]
if(data_type==DataType.NUM):
return ParseHelper.getNumber(rawdata, format_info[1], format_info[2])
elif(data_typ... | Bitbyul/protocol-analyzer | model/parseHelper.py | parseHelper.py | py | 3,078 | python | en | code | 0 | github-code | 6 |
30510489975 | # coding=utf-8
import hashlib
from falcon.errors import HTTPBadRequest
from ultros_site.base_route import BaseRoute
__author__ = "Gareth Coles"
class ProfileRoute(BaseRoute):
route = "/profile"
def on_get(self, req, resp):
user = req.context["user"]
if not user:
raise HTTPBadRe... | UltrosBot/Ultros-site | ultros_site/routes/users/profile.py | profile.py | py | 719 | python | en | code | 2 | github-code | 6 |
26471185861 | import unittest
from solution.batch4.problem47 import consecutive_distinct_primes, \
first_4_distinct_primes
class DistinctPrimesFactors(unittest.TestCase):
def test_HR_problem_k2(self):
k = 2
nums = [20, 100]
expected = [
[14, 20],
[14, 20, 21, 33, 34, 35, 38, ... | bog-walk/project-euler-python | test/batch4/test_problem47.py | test_problem47.py | py | 1,245 | python | en | code | 0 | github-code | 6 |
5906135972 | #!/usr/bin/env python
import rospy
import math
import sys
import tf
from el2425_bitcraze.srv import SetTargetPosition
from el2425_bitcraze.srv import SetPolygonTrajectory
from geometry_msgs.msg import PoseStamped
from geometry_msgs.msg import Point
rate = 5
deltaTheta = 20
class PolygonTrajectoryPlanner:
def _... | SabirNY/el2425_bitcraze | scripts/trajectory_handler.py | trajectory_handler.py | py | 3,126 | python | en | code | null | github-code | 6 |
21402626105 | import numpy as np
import tensorflow as tf
from pyTasks.task import Task, Parameter
from pyTasks.task import Optional, containerHash
from pyTasks.target import CachedTarget, LocalTarget
from pyTasks.target import JsonService, FileTarget
from .gram_tasks import PrepareKernelTask
import logging
import math
from time impo... | cedricrupb/pySVRanker | word2vec_tasks.py | word2vec_tasks.py | py | 14,557 | python | en | code | 2 | github-code | 6 |
44112547600 | from tkinter import *
root = Tk()
root.title("Calculator")
entry_box = Entry(root,width=35,font=('Century Schoolbook', 12))
entry_box.grid(row=0,column=0,columnspan=4,padx=10,pady=20,ipady=5)
answer = 0
val1=""
operands=['+','-','*','/','=']
def button_click(number):
current = entry_box.g... | shaharyar797/tkinter | Calculator.py | Calculator.py | py | 4,607 | python | en | code | 1 | github-code | 6 |
25566549731 | from django.shortcuts import render
from .models import Product
from .forms import ProductForm
from django.http import HttpResponse
def list(request):
products = Product.objects.all()
context = {'products': products}
return render(request, 'product/list.html', context)
def save_product(request):
if(re... | d3stroya/ob-django | wishlist/product/views.py | views.py | py | 1,700 | python | en | code | 0 | github-code | 6 |
28492207070 | import librosa,librosa.display
import matplotlib.pyplot as plt
import numpy as np
file="your-summer-day-5448.wav"
#waveform
signal,sr=librosa.load(file,sr=22050) #signal will be a numpy array which will have no.of values=sr*duration of sound track
librosa.display.waveplot(signal,sr=sr) #visualizing the wave
... | yashi4001/ML_Basics | audio_preprocess.py | audio_preprocess.py | py | 1,735 | python | en | code | 0 | github-code | 6 |
12397412517 | import sys
import re
import os
# nagios exit code
STATUS_OK = 0
STATUS_WARNING = 1
STATUS_ERROR = 2
STATUS_UNKNOWN = 3
def main():
try:
with open('/proc/drbd') as f:
for line in f:
match = re.search('^\ *(.*): cs:(.*) ro:([^\ ]*) ds:([^\ ]*) .*$', line)
if match... | Sysnove/shinken-plugins | check_drbd.py | check_drbd.py | py | 1,342 | python | en | code | 9 | github-code | 6 |
17651189647 | import telebot
from config import TOKEN, keys
from extensions import ExchangeException, Exchange
bot = telebot.TeleBot(TOKEN)
# ะะฑัะฐะฑะพัะบะฐ ะบะพะผะฐะฝะดั /start
@bot.message_handler(commands=['start'])
def start(message):
start = "ะัะธะฒะตั! ะฏ ะฑะพั, ะบะพัะพััะน ะผะพะถะตั ะฒะตัะฝััั ัะตะฝั ะฝะฐ ะพะฟัะตะดะตะปะตะฝะฝะพะต ะบะพะปะธัะตััะฒะพ ะฒะฐะปััั.\n\n... | Airton99999/telegram_bot_convertor | bot.py | bot.py | py | 2,989 | python | ru | code | 0 | github-code | 6 |
34336638325 | # main.py
from project.scraper import Scraper
from project.database import Database
def main():
"""
main function
"""
#Initialize the scraper
scraper = Scraper()
#Get the data
response = scraper.scrape_data()
data = scraper.parse_response(response)
#Connect to the database
... | MiriamGeek/scraper-pipeline | project/__main__.py | __main__.py | py | 480 | python | en | code | 0 | github-code | 6 |
9185132950 | import collections
from collections import abc
import getpass
import io
import itertools
import logging
import os
import socket
import struct
import sys
import threading
import time
import timeit
import traceback
import types
import warnings
from absl import flags
from absl.logging import converter
try:
from typing... | bazelbuild/bazel | third_party/py/abseil/absl/logging/__init__.py | __init__.py | py | 38,729 | python | en | code | 21,632 | github-code | 6 |
38474237620 | from trainer import image_classifier, augmentation_pipeline,GCSHelper
import argparse
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Boolean value exp... | chrike-platinum/Cloud_ML_Template | trainer/task.py | task.py | py | 2,861 | python | en | code | 0 | github-code | 6 |
19407988415 | from flask import Flask, jsonify, request
from flask_cors import CORS
from flask_jwt_extended import create_access_token, JWTManager
from flask_mysqldb import MySQL
from dotenv import load_dotenv
import os
from datetime import datetime
app = Flask(__name__)
load_dotenv()
app.config['MYSQL_HOST'] = os.environ.get('MY... | RogelioBenavides/frida-kitchen | tracking_service/routes/tracking.py | tracking.py | py | 1,020 | python | en | code | 1 | github-code | 6 |
24059326549 | from PIL import Image
from os import listdir, mkdir
def PrepareChars5x7(jmeno, mezX, mezY):
im = Image.open(jmeno)
Pixels = im.load()
for x in range(13):
for y in range(4):
imnew = Image.new(mode="RGB", size=(5, 7))
pole = imnew.load()
print(pole[1, 1], imnew.si... | MedOndrej/ASCIIart | Preparation.py | Preparation.py | py | 1,019 | python | en | code | 0 | github-code | 6 |
30478191100 | # Merge k Sorted Linked Lists and return in form of Array
class Node:
def __init__(self, head):
self.head = head
self.next = None
def merge(self, left, right):
if left is None:
return right
if right is None:
return left
ans = Node(-1)
temp = a... | prabhat-gp/GFG | Linked List/Love Babbar/26_merge_k_sorted_ll.py | 26_merge_k_sorted_ll.py | py | 1,084 | python | en | code | 0 | github-code | 6 |
14040284357 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | yenbryan/raffle | ticketing/migrations/0001_initial.py | 0001_initial.py | py | 2,454 | python | en | code | 0 | github-code | 6 |
25072840538 | #!/usr/bin/env python3
#_*_ coding: utf8 _*_
#------------------------------------------------------------
#----- GUILLOTINE -----|
# ---- FINDER HTTP SECURITY HEADERS ----|
# ---- Gohanckz ----|
# ---- Contact ... | Gohanckz/guillotine | guillotine.py | guillotine.py | py | 3,431 | python | en | code | 12 | github-code | 6 |
32936869929 | # ๅฏผๅ
ฅๆ้็ๅบ
import jieba
import docx
from docx import Document
from docx.shared import Inches
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS
# ่ฏปๅๆๆกฃๅ
ๅฎน
filter_words = ['', '','','','','','','']
document = Document('221.docx')
text = ''
text= jieba.cut(text)
text = ''.join(str(x) for x in text)
... | lingqingjiuying/9ying1 | day1class1.py | day1class1.py | py | 1,150 | python | en | code | 0 | github-code | 6 |
39359053941 | import time
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
import selenium
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import service
#driver ... | Paviterence/Selenium-Python-BasicCodes | fb_select_method.py | fb_select_method.py | py | 5,232 | python | en | code | 1 | github-code | 6 |
14974723036 | import torch
import torch.nn as nn
from torch_geometric.loader import DataLoader
from torch_geometric.data import Data, Batch
from torch.utils.data import Dataset
import torch_geometric.transforms as T
from torch_geometric.nn import GATConv
import torch.nn.functional as F
class GATNet(torch.nn.Module):
def __init_... | mo7amed7assan1911/Floor_Plan_Generation_using_GNNs | model.py | model.py | py | 5,015 | python | en | code | 3 | github-code | 6 |
30513354824 | import os
import requests
from app import Processing
import nltk
from moviepy.editor import *
from pexels_api import API
from pathlib import Path
import time
import pyttsx3
# configurations of paths, output URL, file structure
# 16:9 ratios possible for upright smartphone usage
# 1080, 1920 --> FullHD resolution
# 54... | oliverkoetter/kopfkino | tasks.py | tasks.py | py | 6,989 | python | en | code | 2 | github-code | 6 |
16536913637 | import pandas as pd
dataset = pd.read_csv('iris.csv')
data = dataset.iloc[ : 99 , :]
target = data.iloc[ : , -1: ]
y = []
for x in target.values:
if x == 'Iris-setosa':
y.append(1)
else:
y.append(0)
x = data.iloc[ : , : -1]
x = x.values.tolist()
from sklearn.utils i... | Nuhru1/Machine_Learning_Logistic_Regression_From_Scratch | Logistic_Regression_with_Sklearn.py | Logistic_Regression_with_Sklearn.py | py | 897 | python | en | code | 0 | github-code | 6 |
35041146572 | import copy
import json
import logging
import os
from threading import Thread
import requests
import six
import yaml
from toscaparser.tosca_template import ToscaTemplate
from yaml import Loader
from configuration_tool.common.tosca_reserved_keys import IMPORTS, DEFAULT_ARTIFACTS_DIRECTORY, \
EXECUTOR, NAME, TOSCA_... | sadimer/clouni_configuration_tool | configuration_tool/common/translator_to_configuration_dsl.py | translator_to_configuration_dsl.py | py | 9,016 | python | en | code | 0 | github-code | 6 |
37220130073 | # 46__method_chaining
class Car:
def turn_on(self):
print("You started the engine")
turned_on = "turned on"
return self
def turn_off(self):
print("You turned of the engine")
return self
def brake(self):
print("You stepped on the brake")
return self
... | GGisMee/Python | pfc/tutorials/46__method_chaining.py | 46__method_chaining.py | py | 627 | python | en | code | 3 | github-code | 6 |
69928685308 | from django.db import models
class Vehicles(models.Model):
class Meta:
ordering = [ 'year']
id = models.AutoField(
primary_key = True
)
year_min = 1900
year_max = 2100
year = models.IntegerField(
'Year',
)
man_max_len = 50
manufacturer = models.CharField(... | babarehner/carwork | carrepairs/models.py | models.py | py | 640 | python | en | code | 0 | github-code | 6 |
15996890764 | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('api/songs', views.SongsView.as_view(), name='songs'),
path('api/songs/<int:song_id>', views.SongInfoView.as_view(), name='song_info'),
path('api/songs/search/', views.SongSearchView.as_view(), name='song... | artooff/2023-MAI-Backend-A-Artov | lab3/musicProject/musicService/urls.py | urls.py | py | 652 | python | en | code | 0 | github-code | 6 |
37030043869 | import PySimpleGUI as sg
import numpy as np
import cv2
import matplotlib.pyplot as plt
from Baysian_Mat import Bayesian_Matte
from PIL import Image, ImageOps
import time # Execution TIme imports
import psutil
from laplac import Laplacianmatting
from compositing import compositing
from QualityTest import mse2d
from Q... | ADG4050/Bayesian-Matting-Implementation | bayesian-Matting-Python/UI.py | UI.py | py | 4,145 | python | en | code | 0 | github-code | 6 |
72530296187 | import os
import cv2
import pytesseract
import numpy as np
from tqdm import tqdm
INPUT_PATH: str = "inputs_control/"
OUTPUT_PATH: str = "text_pred_control/"
#CONFIG: str = "--psm 6 --oem 1"
CONFIG: str = "--psm 7 --oem 1"
def pipeline(file) -> str:
path: str = f"{INPUT_PATH}{file}"
img: np.ndarray = cv2.imre... | lukeabela38/image2text-tesseract | workspace/main.py | main.py | py | 693 | python | en | code | 0 | github-code | 6 |
28811405161 | import torch
import csv
import pytorch_lightning as pl
from sys import platform
if platform == "linux":
from pypesq import pesq
from pystoi import stoi
from math import isnan
from numpy import random
def check_inf_neginf_nan(tensor, error_msg):
assert not torch.any(torch.isinf(tensor)), error_msg
if tensor... | Youzi-ciki/DCS-Net | network_functions.py | network_functions.py | py | 22,891 | python | en | code | 1 | github-code | 6 |
16254773107 | import pandas as pd
import numpy as np
import random
from sklearn.datasets import load_iris
import matplotlib.pyplot as plt
x= ""
def calc_color_indxs(centroids):
#function assigns centroid indexes to each training example i.e. it assigns the
# nearest cluster centroid to each training example
# It uses ... | DhyeyDabhi/Machine-Learning | K Means Clustering/Logic Code/KMeans.py | KMeans.py | py | 3,311 | python | en | code | 0 | github-code | 6 |
21480313260 | import bpy
import re
from ..helpers import sentence_join
default_lock = False
default_lock_array = [default_lock] * 3
component_names = ('X', 'Y', 'Z', 'W')
def is_prop_locked(pb, name, component_index):
if name == 'location':
return getattr(pb, 'lock_location', default_lock_array)[component_i... | greisane/gret | anim/channels_delete_unavailable.py | channels_delete_unavailable.py | py | 3,374 | python | en | code | 298 | github-code | 6 |
29841914634 | import threading
import traitlets
import pyrosetta
import pyrosetta.rosetta.basic.options
import pyrosetta.rosetta.protocols.rosetta_scripts as rosetta_scripts
import pyrosetta.rosetta.protocols.moves as moves
import pyrosetta.distributed
import pyrosetta.distributed.tasks.taskbase as taskbase
import pyrosetta.distr... | MedicaicloudLink/Rosetta | main/source/src/python/PyRosetta/src/pyrosetta/distributed/tasks/rosetta_scripts.py | rosetta_scripts.py | py | 2,892 | python | en | code | 1 | github-code | 6 |
2279604404 | from Sentence import Sentence
import nltk
class Text:
def __init__(self, rawText, name):
self.rawText = rawText#self.formatText(rawText)
self.name = name
splitAtNewlines = [s.strip() for s in rawText.splitlines()]
rawSentences = []
for line in splitAtNewlines:
... | Lombre/LemmaLearner | Text.py | Text.py | py | 745 | python | en | code | 0 | github-code | 6 |
75336194426 | import requests
import collections
import secrets
import json
import sqlite3
import scrape
from bs4 import BeautifulSoup
API_KEY = secrets.API_KEY
headers = {
"Authorization": "Bearer %s" % API_KEY
}
BASEURL = 'https://api.yelp.com/v3/businesses/search'
CACHE_DICT = {}
CACHE_FILENAME = 'search_cache.json'
DB_NAM... | kedongh/507_final_proj | yelp.py | yelp.py | py | 8,122 | python | en | code | 0 | github-code | 6 |
32181991364 | '''
- Change tree from octree to R-tree. or study other balanced trees
- If octree pool overflows it should create a second pool
'''
from Framework.Segmentation.SegmentationHandler import *
from Framework.Segmentation.ROI import ROI
from Framework.Tools.shunting_yard import shuntingYard
from Framework.Tools.DataStruc... | GonzaloSabat/phybers | phybers/src/utils/fibervis/Framework/Segmentation/ROISegmentation.py | ROISegmentation.py | py | 4,067 | python | en | code | 0 | github-code | 6 |
22389699971 | # -*- coding: utf-8 -*-
# (C) 2013 Smile (<http://www.smile.fr>)
# License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl).
from odoo import api, fields, models, _
from odoo.tools import format_date
class AccountInvoice(models.Model):
_inherit = 'account.invoice'
@api.multi
def action_invoice_open... | detian08/bsp_addons | smile/smile_account_tax_period/models/account_invoice.py | account_invoice.py | py | 2,040 | python | en | code | 1 | github-code | 6 |
41034447740 | from django.test import TestCase
from car import models
class ModelTest(TestCase):
def test_create_user_with_email_successful(self):
"""Test creating a new car is successful"""
category = 'CO'
model = "TT RS 2020"
name = 'Audi TT RS TURBO'
number_of_doors = 3
descr... | Womencancode/technical-test-Talana | app/car/tests/test_models.py | test_models.py | py | 814 | python | en | code | 0 | github-code | 6 |
27447292826 | import time
from selenium.webdriver.support.ui import Select
from selenium import webdriver
class InventoryPage():
def __init__(self,driver) :
self.driver = driver
def navigate(self, urlLogin):
self.driver.get(urlLogin)
def changeSorting(self, locatorClass, option):
self.sel =... | Abanoub-waheed/python_test | inventoryPage.py | inventoryPage.py | py | 3,580 | python | en | code | 0 | github-code | 6 |
70096737469 | import itertools
# ์์ ํ๋ณ ํจ์
# 2๋ณด๋ค ์์ผ๋ฉด ๋ฌด์กฐ๊ฑด False
# 2๋ 3์ด๋ฉด ์์๋ค.
# 2 ๋๋ 3์ผ๋ก ๋๋ ์ง๋ฉด ์์๊ฐ ์๋๋ค.
# 10 ๋ฏธ๋ง์ ๊ฐ๋ค์ 2๋ 3์ผ๋ก๋ง ๋๋ ์ง์ง ์์ผ๋ฉด ๋๋ค.
# ๊ทธ ์ด์์ ์๋ค์ ๋ํด์๋ 5, 7, 9, 11, 13, 15... ๋ฑ์ ํ์๋ก ๋๋ ๋ณด๋ฉด ๋๋ค. ํ์ง๋ง ์ด๋ฏธ 3์ ๋ฐฐ์์ ๋ํด์๋ ์์์ ๊ฒ์ฌํ๊ธฐ ๋๋ฌธ์ 5, 7, 11, 15,... ์ ํจํด์ผ๋ก ๊ฒ์ฌํ ์ ์๋ค.
# N์ด ์์์ธ์ง๋ฅผ ์๊ณ ์ถ์ผ๋ฉด N์ ์ ๊ณฑ๊ทผ๊น์ง๋ง ๊ฒ์ฌํด๋ณด๋ฉด ๋๋ค.
def is_prime(n):
if n < 2:
... | YooGunWook/coding_test | practice_coding_old/์ฐ์ต๋ฌธ์ /์์ ๋ง๋ค๊ธฐ.py | ์์ ๋ง๋ค๊ธฐ.py | py | 1,070 | python | ko | code | 0 | github-code | 6 |
31496165105 | import unittest
import socket
def test_server_connection():
# Cria um socket e envia uma mensagem para o servidor
client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
client.sendto(b"Hello, server!", ("127.0.0.1", 333))
# Verifica se a mensagem foi recebida pelo servidor corretamente
received... | Trincazul/server-upd | src/test/test_server.py | test_server.py | py | 701 | python | pt | code | 0 | github-code | 6 |
24293577173 | from copy import deepcopy
def courses_to_take(course_to_pre_reqs):
if not course_to_pre_reqs:
return []
for course in course_to_pre_reqs:
ret = list()
if not course_to_pre_reqs[course]:
print(course_to_pre_reqs)
ret.append(course)
next_pre_reqs = dee... | ckallum/Daily-Interview-Pro | solutions/courseCodes.py | courseCodes.py | py | 1,367 | python | en | code | 16 | github-code | 6 |
33548045927 | from django.test import TestCase
from costcenter.forms import FundForm
class FundFormTest(TestCase):
def test_empty_form(self):
form = FundForm()
self.assertIn("fund", form.fields)
self.assertIn("name", form.fields)
self.assertIn("vote", form.fields)
self.assertIn("downloa... | mariostg/bft | costcenter/tests/test_forms.py | test_forms.py | py | 1,394 | python | en | code | 0 | github-code | 6 |
44497013120 | from traceback import print_stack
from allure_commons.types import AttachmentType
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.common.exceptions import NoSuchElementException, ElementNotVisibleException, ... | sudeepyadav5/SeleniumA2Z | SeleniumFrameWork/basepage/BasePage.py | BasePage.py | py | 6,476 | python | en | code | 0 | github-code | 6 |
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