seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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32328440349 | #--------------------------------- ๋ผ์ด๋ธ๋ฌ๋ฆฌ ---------------------------------
# ์์ผ ๊ด๋ จ ๋ผ์ด๋ธ๋ฌ๋ฆฌ
from PIL import Image, ImageFile
from io import BytesIO
import socket
from PIL import Image
import pybase64
# ๋ชจ๋ธ ๊ด๋ จ ๋ผ์ด๋ธ๋ฌ๋ฆฌ
from PIL import Image
import tensorflow as tf
from tensorflow.keras.applications import Res... | MultiFinal/Fish_Project | PC.py | PC.py | py | 8,991 | python | ko | code | 0 | github-code | 6 |
41734453103 | from __future__ import absolute_import, unicode_literals
from lol_stats_api.helpers.redis import db_metadata, db_matchlist
from celery.decorators import task, periodic_task
from celery.schedules import crontab
from redis import Redis
from celery_singleton import Singleton, clear_locks
import os
from datetime import dat... | fabran99/LolStatisticsBackend | bard_app_api/lol_stats_api/tasks.py | tasks.py | py | 4,723 | python | en | code | 1 | github-code | 6 |
17779473058 | #!/usr/bin/python3
"""Query reddit API for work count in hot list using recusion"""
import requests
def count_words(subreddit, word_list, after=None, count={}):
"""Count words in word_list in subreddit"""
if after is None:
subred_URL = 'https://www.reddit.com/r/{}/hot.json'.format(subreddit)
else:... | robertrowe1013/holbertonschool-interview | 0x13-count_it/0-count.py | 0-count.py | py | 1,364 | python | en | code | 0 | github-code | 6 |
21360428026 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
path1 = 'project_data/DC_Crime.csv'
path2 = 'project_data/DC_Properties.csv'
path3 = 'project_data/DC_crime_test.csv'
data = pd.read_csv(path1)
Features =['SHIFT', 'OFFENSE', 'METHOD','BID',"NEIGHBORHOOD_... | montpelllier/MA333_Introduction-to-Big-Data-Science | decisiontree.py | decisiontree.py | py | 1,129 | python | en | code | 0 | github-code | 6 |
31099193784 | """
Greg McClellan
Created: 8/25/13
Last Edited: 8/25/13
Problem:
n! means n ร (n โ 1) ร ... ร 3 ร 2 ร 1
For example, 10! = 10 ร 9 ร ... ร 3 ร 2 ร 1 = 3628800,
and the sum of the digits in the number 10! is 3 + 6 + 2 + 8 + 8 + 0 + 0 = 27.
Find the sum of the digits in the number 100!
"""
fr... | gsmcclellan/project_euler | Factorial_digit_sum.py | Factorial_digit_sum.py | py | 565 | python | en | code | 0 | github-code | 6 |
7485160594 | from datetime import datetime
from os.path import basename
from types import SimpleNamespace
import math
import numpy as np
__version__ = "2020.10.06"
def solve(length, supports, loads, EI, GA, top, bottom, shear): # {{{
"""Solve the beam problem.
Arguments:
length: The length of the beam in mm. Th... | rsmith-nl/beammech | beammech.py | beammech.py | py | 18,941 | python | en | code | 26 | github-code | 6 |
12799024256 | import webapp2, jinja2, os
# Import requests with app engine adapter
import requests, requests_toolbelt.adapters.appengine
from bs4 import BeautifulSoup
import datetime, time
from google.appengine.ext import ndb
# Patch adapter
requests_toolbelt.adapters.appengine.monkeypatch()
# os.path.dirname(__file__) is the c... | jQwotos/better-shareproint-slides | main.py | main.py | py | 3,061 | python | en | code | 0 | github-code | 6 |
29675107674 | from trees.binary_sort_tree import BinarySortTree
def build_dictBinTree(entries):
dic = BinarySortTree()
for k, v in entries.items():
dic.insert(k, v)
dic.insert(20, 20)
return dic
def main():
dic = build_dictBinTree(
{57: 57, 36: 36, 89: 89, 7: 7, 43: 43, 65: 65, 96: 96, 18: 18,... | caominglong/data_structures_and_algorithms | trees/test/binary_sort_tree_test.py | binary_sort_tree_test.py | py | 402 | python | en | code | 0 | github-code | 6 |
31655899927 | def find_anagrams(word, candidates):
anagrams = []
for w in candidates:
if len(w) == len(word) and w.lower() != word.lower():
if sorted(w.lower()) == sorted(word.lower()):
anagrams.append(w)
return anagrams
""" The solution below only fails 1 test:
when the wo... | ilee38/exercism-io-coding-exercises | python/anagram/anagram.py | anagram.py | py | 838 | python | en | code | 0 | github-code | 6 |
25649315535 | import ctypes
import sys
class DynamicArray(object):
def __init__(self):
self.n = 0 #Actual count of the actual elements
self.capacity = 1 #Default capacity
self.A = self.make_array(self.capacity) #To call make.array
def __len__(self):
return self... | Emre-Yaz/emre-yaz | DS-A/ArraySequences/DynamicArrayImp.py | DynamicArrayImp.py | py | 1,536 | python | en | code | 1 | github-code | 6 |
22949757973 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# k2hat.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - 07/15
# License: MIT. See the LICENCE file for license text.
'''
This contains functions for reading K2 CSV light-curves produced by the HAT
Project into a Python dictionary. Requires numpy.
The only external func... | waqasbhatti/astrobase | astrobase/hatsurveys/k2hat.py | k2hat.py | py | 25,449 | python | en | code | 50 | github-code | 6 |
30906484831 | from reportlab.platypus import (SimpleDocTemplate, Paragraph, PageBreak, Image, Spacer, Table, TableStyle)
from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
from reportlab.pdfgen import canvas
from reportlab.graphics.shapes import Line, LineShape, Drawing
from reportlab.lib.pagesizes import LETTER, i... | GregorMonsonFD/holmly_sourcing_legacy | scripts/python/pdfGen/page_format_handler.py | page_format_handler.py | py | 5,949 | python | en | code | 0 | github-code | 6 |
3847347050 | import matplotlib
matplotlib.use('Agg')
import numpy as np
import tinyarray
import matplotlib.pyplot as plt
from scipy.sparse import spdiags
from scipy.sparse import eye
from scipy.sparse import kron
from scipy.sparse.linalg import inv
from scipy.sparse import csr_matrix
import adaptive
from functools import partial
fr... | hainingpan/nanowire_matlab | Ldos_dis.py | Ldos_dis.py | py | 5,110 | python | en | code | 0 | github-code | 6 |
74740608828 | from tkinter import *
from PIL import Image,ImageTk
from tkinter import messagebox
import pymysql
def bookRegister():
## When the user clicks the submit button this bookRegister function is run
# BookInfos are stored in these variables.
# and then these are uploaded to the database using the cursor metho... | DarkCodeOrg/library_management_system | AddBook.py | AddBook.py | py | 3,270 | python | en | code | 0 | github-code | 6 |
10430336572 | from pathlib import Path
import argparse
import sys
import random
from lib.conll import CoNLLReader
def main():
parser = argparse.ArgumentParser(description="""Extract data based on comments info""")
parser.add_argument('input', help="conllu file")
parser.add_argument('output', help="target file", type=Pa... | coastalcph/ud-conversion-tools | extract.py | extract.py | py | 2,049 | python | en | code | 3 | github-code | 6 |
40025821479 | from django.urls import path
from . import views
from .views import (
TicketCreateView,
AssignCreateView,
StatusCreateView,
StatusLstCreateView,
CgyCreateView,
CgyListView,
TicketListView
)
urlpatterns = [
path('', views.home, name='sticket-home'),
path('categories', C... | uppgrayedd1/webapp | webapp/sticket/urls.py | urls.py | py | 783 | python | en | code | 0 | github-code | 6 |
43266445764 | from urllib.request import urlopen
import json
import matplotlib.pyplot as plt
url = "http://cyrilserver.ddns.net:8080/hardware/esp32/all"
# store the response of URL
response = urlopen(url)
arrData = []
# storing the JSON response
# from url in data
data_json = json.loads(response.read())
for i in range(len(d... | Monest-eco/Tools | graphData/allData.py | allData.py | py | 434 | python | en | code | 0 | github-code | 6 |
6836155009 | # -*- coding: utf-8 -*-
from windows import DSFWindow, PlateResWindow
from epyparser import viia_parser, exparser
from matplotlib.pyplot import figure, show
from optim import linmelt
from scipy import array, sqrt
import csv
def info(args):
if args.csv_wells is not None:
well_info = exparser(args.csv_wells,... | pozharski/epydsf | dsfactions.py | dsfactions.py | py | 5,760 | python | en | code | 0 | github-code | 6 |
32628905214 | from odoo import models, fields,api
class NticCherifProduct(models.Model):
_inherit = "sn_sales.product"
displayed_tags = fields.Text(string='List des prix', compute='_compute_displayed_tags')
@api.depends('pricelist_item_ids')
def _compute_displayed_tags(self):
for record in self:
... | soufnet39/ntic-cherif | clients/cherif/models/product.py | product.py | py | 582 | python | en | code | 0 | github-code | 6 |
26917994924 | """Crie um programa que vai ler vรกrios nรบmeros e colocar em uma lista.
Depois disso, mostre:
A) Quantos nรบmeros foram digitados.
B) A lista de valores, ordenada de forma decrescente.
C) Se o valor 5 foi digitado e estรก ou nรฃo na lista."""
print("\n", "DESAFIO 81".center(60), "\n")
lista = list()
while True... | mcsilva-dev/Exercicios-Curso-em-Video | ex081.py | ex081.py | py | 1,272 | python | pt | code | 0 | github-code | 6 |
3029439171 | #!/usr/bin/env python3
import os
import csv
import sys
import matplotlib.pyplot as plt
# Get theta values from file (if it exists)
def readTheta (thetaFile):
theta0 = 0
theta1 = 0
dataFile = ""
if os.path.isfile(thetaFile):
with open(thetaFile, newline='') as csvfile:
spamreader = ... | cclaude42/ft_linear_regression | estimate.py | estimate.py | py | 3,472 | python | en | code | 0 | github-code | 6 |
9178811450 | MyPoorlyDocumentedInfo = provider()
MyFooInfo = provider(
doc = "Stores information about a foo.",
fields = ["bar", "baz"],
)
MyVeryDocumentedInfo = provider(
doc = """
A provider with some really neat documentation.
Look on my works, ye mighty, and despair!
""",
fields = {
"favorite_food": "A... | bazelbuild/bazel | src/test/java/com/google/devtools/build/skydoc/testdata/provider_basic_test/input.bzl | input.bzl | bzl | 570 | python | en | code | 21,632 | github-code | 6 |
37076376474 | """Level Order Traversal"""
def level_order_traversal(self):
queue = []
current = self.root
queue.append(current)
while queue:
count = len(queue)
while count > 0:
visited = queue[0]
print(visited.data, end=' ')
if visited.left:
queue.a... | piyush9194/data_structures_with_python | data_structures/trees/traversal/breadth_first_search_traverasl_using_list.py | breadth_first_search_traverasl_using_list.py | py | 486 | python | en | code | 0 | github-code | 6 |
32398148937 | import os
#Make this a module
def get_all_filenames_from_location(folder_path):
print("json_file_v1 received the folder path: "+folder_path)
#initialize returning list
filenames = []
#Get a list of all files in the folder
files = os.listdir(folder_path)
#Print the file names
... | alif666/market-app-v1 | json_file_v1.py | json_file_v1.py | py | 622 | python | en | code | 0 | github-code | 6 |
30571932153 | import asyncio
import datetime
from queue import PriorityQueue
import validators
import youtube_dl
class Player:
queue = asyncio.Queue()
# queue = PriorityQueue()
play_next_song = asyncio.Event()
next_song = None
youtube_dl.utils.bug_reports_message = lambda: ''
ytdl_format_options = {
... | MKA01/grajdelko | pl/savera/grajdelko/player/Player.py | Player.py | py | 3,155 | python | en | code | 0 | github-code | 6 |
30804251376 | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
driver = webdriver.PhantomJS()
driver.get('http://fund.eastmoney.com/fund.html')
page_text = driver.find_element_by_id('pager').find_element_by_xpath('span[@class="nv"]').text
page_count = ''.join(filter(str.isdigit, pag... | bobchi/learn_py | 14.py | 14.py | py | 1,125 | python | en | code | 0 | github-code | 6 |
18648883751 | #!/usr/bin/env python3.7
import matplotlib
matplotlib.use('Agg')
import pylab as pl
from matplotlib import rc
import matplotlib.cm as cm
from matplotlib.colors import Normalize
rc('text', usetex=True)
import numpy as np
import numpy.linalg as nl
import numpy.random as nr
import os.path
from numpy import cos, sin
imp... | AmFamMLTeam/metric-space-magnitude | src/mobius.py | mobius.py | py | 2,198 | python | en | code | 1 | github-code | 6 |
19265168130 | import smtplib
from email.message import EmailMessage, MIMEPart
import time
from typing import Tuple
class SendAMessage():
def __init__(self,action,msg_body,config,attach=None):
self.config = config
self.msg_body = msg_body
self.attach = attach
self.action = action
self.set... | netmet1/constellation-node-automation | classes/send_sms_email.py | send_sms_email.py | py | 2,744 | python | en | code | 2 | github-code | 6 |
74309704827 | import pandas
data = pandas.read_csv("weather_data.csv")
# print(data["temp"]) Series
# print(data) Data-Frame
# print(data["temp"].max())
# print(data.condition)
# print(data[data.day == "Monday"])
# print(data[data.temp == data.temp.max()].temp)
# fahr = (9/5)*(data[data.day == "Monday"].temp)+32
# print(fahr)
# Cr... | shuklaritvik06/PythonProjects | Day - 25/main.py | main.py | py | 504 | python | en | code | 0 | github-code | 6 |
36261973545 | from collections import deque
def solution1(graph):
queue = deque([(0,0,0)])
n = len(graph)
m = len(graph[0])
while queue:
x,y,v = queue.popleft()
if x>=n or y>=m or x<0 or y<0:
continue
if graph[x][y] == 1:
graph[x][y] += v
queue.append((x+1... | hon99oo/PythonAlgorithmStudy | ์ด์ฝํ
/DFS_BFS/์์ _๋ฏธ๋ก ํ์ถ/solution.py | solution.py | py | 1,924 | python | ko | code | 0 | github-code | 6 |
42112403480 | from oauth2_provider.models import get_application_model
# create oauth application for export-opportunities
Application = get_application_model()
if Application.objects.count() == 0:
Application.objects.create(
name='export-opportunities',
redirect_uris='http://opportunities.trade.great:8002/expor... | mkieblesz/local-workspace | patches/directory-sso/fixtures/sso_api_clients.py | sso_api_clients.py | py | 756 | python | en | code | 0 | github-code | 6 |
22899839710 | from evennia import create_object
from evennia import DefaultCharacter
from evennia.utils.test_resources import EvenniaTest
from world import space
class TestSpace(EvenniaTest):
"""
Unit tests for Space. A modification of unit tests for Wilderness Contrib
Only minor changes were required to make this ... | QBFreak/SolarWinds-Evennia | world/test_space.py | test_space.py | py | 5,129 | python | en | code | 1 | github-code | 6 |
17308026422 | #!/usr/bin/python3
import collections
import fileinput
import functools
import heapq
import itertools
import math
import re
import sys
rps = {
'A': 'rock',
'B': 'paper',
'C': 'scissors',
}
loseto = {
'rock': 'scissors',
'paper': 'rock',
'scissors': 'paper',
}
defeats = {v: k for k, v in loset... | zmerlynn/advent-of-code | 2022/d02p2.py | d02p2.py | py | 890 | python | en | code | 0 | github-code | 6 |
28199024080 | import logging
import os
import json
from flask import Flask
from flask_ask import Ask, request, session, question, statement
import datetime as DT
os.system('sh transactions.sh > output.json')
data = json.load(open('output.json'))
app = Flask(__name__)
ask = Ask(app, "/")
logging.getLogger('flask_ask').setLevel(logg... | Interplay/HoyaHacks-18 | main.py | main.py | py | 6,607 | python | en | code | 0 | github-code | 6 |
21379769063 | import test, gui, wx, config
from unittests import dummy
from domain import task, effort, category
class ViewerContainerTest(test.wxTestCase):
def setUp(self):
self.settings = config.Settings(load=False)
self.taskList = task.sorter.Sorter(task.TaskList(),
settings=self.settings)
... | HieronymusCH/TaskCoach | branches/Release0_62_Branch/taskcoach/tests/unittests/guiTests/ViewerContainerTest.py | ViewerContainerTest.py | py | 928 | python | en | code | 2 | github-code | 6 |
34084281401 | from rc.resources.apps.scrape.loader import GenericLoader
from rc.resources.apps.education.models import AcademicCenter, \
AcademicCenterType
from rc.resources.apps.education.models import CampusSustainabilityCourseTeacher
from rc.resources.apps.education.models import StudyAbroadProgram
from aashe.organization.mo... | AASHE/django-irc | rc/resources/apps/scrape/loader/education.py | education.py | py | 4,212 | python | en | code | 0 | github-code | 6 |
31490583356 | from django.contrib.auth import authenticate, login
from django.contrib.auth import logout
from django.shortcuts import render, redirect
from django.http import JsonResponse
import PathFinder.PathFinderModels.pathfinder_chat_bot as qamodel
from langchain.vectorstores import Pinecone
from langchain.embeddings.open... | Susa0823/PathFinderProject | PathFinder/PathFinderApp/views.py | views.py | py | 16,953 | python | en | code | 0 | github-code | 6 |
37974761109 | '''
Not a true display, but a stub for directly running applications from the menu
Designed for Light Demos
Generic classs customize by the config file and main_menu setup
Author: Howard Webb
Date: 2/28/2021
'''
from exp import exp
from Exp_Util import save
from Client import SocketClient
from variables import UP, DOW... | webbhm/GBE-Digital | python/Display_Run.py | Display_Run.py | py | 1,932 | python | en | code | 1 | github-code | 6 |
4669064041 | from Bio.Seq import Seq
with open('rosalind_ba1b.txt') as file:
text = file.readline().rstrip()
k = int(file.readline().rstrip())
def get_pattern_count_dict(text, length=3):
pattern_dict = {}
seq = Seq(text)
for i in range(len(text) - length + 1):
pattern = text[i:i + length]
if p... | Partha-Sarker/Rosalind-Problems | Lab Assignment - 1/chapter 1/ba1b Find the Most Frequent Words in a String.py | ba1b Find the Most Frequent Words in a String.py | py | 987 | python | en | code | 0 | github-code | 6 |
2207915794 | import unittest
from util.env_pool import *
class TestEnvPool(unittest.TestCase):
def setUp(self):
self.ep = EnvPool("Pong", 2)
def tearDown(self):
self.ep.close()
def test_reset_state(self):
obs = self.ep.reset()
obs_, reward, done, info = self.ep.step([1, 2])
se... | Seraphli/gym-rl | test/test_env_pool.py | test_env_pool.py | py | 475 | python | en | code | 0 | github-code | 6 |
33378605635 | """
1. construct the head by taking all the starting string before first *, then check if there is a string that can satisfy all
2. construct tail using strings after last *
3. take all leftovers (between first * and last *) and put them, in any order of rules, from left to right.
4. Profit?
"""
if __name__ == "__main... | shstan/codejam_1a_2020 | pattern_matching.py | pattern_matching.py | py | 1,428 | python | en | code | 0 | github-code | 6 |
30916279052 | import smtplib
file = "students.txt"
students = {}
with open(file, "r") as f:
for line in f:
data = line.strip().split(",")
email = data[0]
name = data[1]
surname = data[2]
points = int(data[3])
if len(data) > 4:
grade = int(data[4])
status =... | opaciorkowski/ppy5 | main.py | main.py | py | 2,649 | python | en | code | 0 | github-code | 6 |
13389188618 | from __future__ import print_function
import torch
import torchvision
from torchvision import transforms
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models
class Vgg16c(torch.nn.Module):
def __init__(self):
super(Vgg16c, self).__init__()
vgg_pretrained... | jhilikb/NLBM | model/vgg_nlbm_cuhk.py | vgg_nlbm_cuhk.py | py | 7,190 | python | en | code | 0 | github-code | 6 |
43263411443 | def plot_data_with_fit(data, fit_curve, format_x, format_y):
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.pyplot as mp
mp.title('Final Curve Plot')
format_x
format_y
plt.scatter(data[0],data[1], label='Data', s=1,)
plt.plot(fit_curve[0],fit_curve[1], ... | UW-ParksidePhysics/Delgado-Omar | plot_data_with_fit.py | plot_data_with_fit.py | py | 352 | python | en | code | 0 | github-code | 6 |
42360574813 | # Using Python 3
# https://open.kattis.com/problems/mountainbiking
from math import pow
from math import cos
from math import radians
from math import sqrt
N, gravity = input().split(' ')
N = int(N)
gravity = float(gravity)
seg = []
for _ in range(N):
dist, angle = input().split()
dist = float(dist)
an... | Resethel/Kattis | Problems/mountainbiking/Python3/mountainbiking.py | mountainbiking.py | py | 569 | python | en | code | 1 | github-code | 6 |
26008064699 | import json
from pathlib import Path
def get_average_mark_student(student):
overall_mark = 0
for mark in student:
if mark in subjects:
overall_mark += student[mark]
student['average'] = overall_mark / len(subjects)
return student # return student report card with added average mar... | 1lubo/Student-Performance | main.py | main.py | py | 2,482 | python | en | code | 0 | github-code | 6 |
580231828 | # ะะฐะฟะธัะฐัั ัะฒะพะน ะธัะตัะฐัะพั(ัะตะฐะปะธะทะพะฒะฐัั ั ะฝะตะณะพ ะธ ะผะตัะพะด __next__ ะธ __iter__),
# ััะพะฑั ะฟัะธ ะพะฑั
ะพะดะต ัะธะบะปะพะผ ะพะฝ ะพัะดะฐะฒะฐะป ัะพะปัะบะพ ัะปะตะผะตะฝัั ะฝะฐ ัะตัะฝัั
ะธะฝะดะตะบัะฐั
, ะฒะพะทะฒะตะดะตะฝะฝัะต ะฒ ะบะฒะฐะดัะฐั.
class MyIterator:
def __init__(self, collection, cursor=-1):
self._collection = collection
self._cursor = cursor
def __iter_... | MrDumper/Roma | 14.2HW.py | 14.2HW.py | py | 874 | python | ru | code | 0 | github-code | 6 |
15757093517 | from flask import Flask, request, abort
import os
import face_detect as f # face_detect.py
import base64
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
MessageEvent, TextMessage, TextSendMessage, ImageMessage #ImageMes... | kentamseisyou/myahutest | main.py | main.py | py | 2,201 | python | en | code | 0 | github-code | 6 |
28075967300 | import numpy as np
import matplotlib
matplotlib.use("Qt5Agg")
print("BACKEND: ", matplotlib.get_backend())
from matplotlib import pyplot as plt
import utility as ut
import network as nt
from tqdm import tqdm as tqdm
import plot as pt
delta_T = 1e-3
# bars
spiking_input = False
dim = 8
n_outputs = 2*dim
n_inputs = dim... | zimmerrol/spiking-bayesian-networks | bars_binary.py | bars_binary.py | py | 1,960 | python | en | code | 6 | github-code | 6 |
13415308592 | from pickletools import uint8
import time
import numpy as np
from onnxruntime import InferenceSession
import cv2
import numpy as np
# ๅ ่ฝฝONNXๆจกๅ
sess = InferenceSession('output.onnx')
image = cv2.imread('38.jpg')
image=cv2.resize(image,(1024,512))
cv2.normalize(image,image,0,255,cv2.NORM_MINMAX)
#print(image)
image=ima... | Tommy-Bie/Logistics-Package-Separation-Software | DatasetUtils/test.py | test.py | py | 763 | python | en | code | 1 | github-code | 6 |
38029553646 | # ๅๆฐ/ๆฆ็่งๅพ
from rest_framework import generics, filters, status
from rest_framework.response import Response
from ..models import User, Score, Probability, Question, History, Detail
from ..serializer.results import ScoreSerializer, ProbabilitySerialzer
from ..serializer.history import HistorySerializer, DetailSerializer... | Frank-LSY/LungCancerModel | back/lungcancer/polls/view/results.py | results.py | py | 3,205 | python | en | code | 0 | github-code | 6 |
74286785467 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def mergeTwoLists(self, l1: Optional[ListNode], l2: Optional[ListNode]) -> Optional[ListNode]:
res=ListNode() #This made a ... | aameen07/Leetcode_Solutions | 0021-merge-two-sorted-lists/0021-merge-two-sorted-lists.py | 0021-merge-two-sorted-lists.py | py | 1,118 | python | en | code | 0 | github-code | 6 |
20206845666 | def eelarve(kรผlalised):
rent = 55
summa = kรผlalised * 10 + rent
return summa
tulijad = 0
ma_ei_tea_inimesed = 0
file = open(input("Sisestage failinimi: "), "r")
for line in file:
for char in line:
if char == "+":
tulijad += 1
elif char == "?":
ma_ei_tea_inimese... | Ax-SylvesterHommuk/proge_alused | Praks 1/7.4 Tรคiendatud peo eelarve.py | 7.4 Tรคiendatud peo eelarve.py | py | 584 | python | en | code | 0 | github-code | 6 |
71484315388 | N, K = map(int, input().split())
mod = 10**9+7
def inv(x):
return pow(x, mod-2, mod)
def nCk(n, k):
ret = 1
for i in range(k):
ret *= n-i
ret %= mod
ret *= inv(i+1)
ret %= mod
return ret
def nHk(n, k):
return nCk(n+k-1, k-1)
if N <= K:
gs, gl = K % N, N - K % N
... | knuu/competitive-programming | atcoder/arc/arc039_b.py | arc039_b.py | py | 387 | python | en | code | 1 | github-code | 6 |
70267336189 |
import config
from epyk.core.Page import Report
# Create a basic report object
page = Report()
page.ui.text("#This is a text", options={"markdown": True})
page.ui.button("This is a test").click([
page.js.alert("test")
])
page.outs.publish(server="node", app_path=config.OUTPUT_PATHS_LOCALS_TS, module=config.OUT_F... | epykure/epyk-templates | web/app_nodejs.py | app_nodejs.py | py | 328 | python | en | code | 17 | github-code | 6 |
26377974734 | def partial_sums(*numbs):
numbs = list(numbs)
if numbs == []:
return [0]
default = [0, numbs[0]]
if len(numbs) == 1:
return default
result = []
for i in range(2, len(numbs) + 1):
result.append(sum(numbs[:i]))
result = default + result
return result
| tatanaratko/python | Yandex.Lyceum/partial_sums.py | partial_sums.py | py | 309 | python | en | code | 0 | github-code | 6 |
3578850080 | filepath = 'input.txt'
lines = []
with open(filepath) as fp:
line = fp.readline()
while line:
lines.append(line)
line = fp.readline()
print(len(lines))
total = 0
for n in lines:
num = int(n)
num = int(num/3)
num = num - 2
if(int(num/3) -2 > 0):
test = int(num/3) -2
... | Sami1309/adventofcode | day1.py | day1.py | py | 440 | python | en | code | 0 | github-code | 6 |
7074661101 | import pandas as pd
import pandas_datareader as web
import matplotlib.pyplot as plt
import datetime as dt
start = dt.datetime(2021,1,1)
end = dt.datetime.now()
ticker_symbol = input('Enter the stock ticker which you wish to analyse: ')
data = web.DataReader(ticker_symbol, 'yahoo', start, end)
#print(data)
delta = ... | amanpanditap/Python_Projects | finance_python/technical_stock_analysis/technical_stock_analysis.py | technical_stock_analysis.py | py | 2,507 | python | en | code | 3 | github-code | 6 |
72231186747 | from __future__ import print_function, division, unicode_literals
import os
import yaml
from pymatgen.io.vasp.inputs import Kpoints, Incar
from pymatgen.io.vasp.outputs import Vasprun
import twod_materials.utils as utl
from pymatgen.matproj.rest import MPRester
from monty.serialization import loadfn
import twod_ma... | ashtonmv/twod_materials | twod_materials/pourbaix/startup.py | startup.py | py | 9,663 | python | en | code | 18 | github-code | 6 |
23978857817 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def compute_dct_coeffs(blockSize):
T = np.zeros((blockSize, blockSize))
T[0, :] = np.sqrt(1.0/blockSize)
for i in range(1, blockSize):
for j in range(blockSize):
T[i][... | vince-robin/Image-compression | soft/functions/dct.py | dct.py | py | 3,672 | python | en | code | 2 | github-code | 6 |
39839888743 | #!/usr/bin/python3
"""
script that fetches https://alx-intranet.hbtn.io/status
"""
import urllib.request
with urllib.request.urlopen("https://alx-intranet.hbtn.io/status") as response:
data = response.read()
decoded = str(data.decode("utf-8"))
t = type(data)
p1 = "Body response:\n\t- type:"
... | George-9/alx-higher_level_programming | 0x11-python-network_1/0-hbtn_status.py | 0-hbtn_status.py | py | 446 | python | en | code | 0 | github-code | 6 |
18886739040 | import re
import ast
from tkinter import Tk, Button, Text, Scrollbar, END
from pathlib import Path
from retroperm.project import RetropermProject
from retroperm.rules import Rule
from retroperm.rules.filesystem_rule import FilesystemRule
from retroperm.rules.ban_library_function_rule import BanLibraryFunctionRule
from... | SpiritSeal/retroperm | ui/gui2.py | gui2.py | py | 3,484 | python | en | code | 0 | github-code | 6 |
74918964666 | import re
from collections import defaultdict
XMIN = -2
def find(rules,current):
if len(current) < 5:
return ""
if current in rules:
return rules[current]
elif len(current) == 5:
return "."
else:
size = len(current)
left=find(rules,current[0:size-1])
rig... | aarroyoc/advent-of-code-2018 | python/day12/day12_2.py | day12_2.py | py | 1,670 | python | en | code | 1 | github-code | 6 |
8747023453 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 13:34:12 2019
@author: ADMIN
"""
import AllFunctions as af
import pandas as pd
import numpy as np
import pandas_profiling
#import H2OHandler as hh
df=pd.read_csv('train.csv')
orgCC = df['cc_cons'].copy()
df['isTrain']=True
df2=pd.read_csv('test.csv')
df2['isTrain']=... | kinjaldand/MLProjects | CreditCardConsumptionPatternAMEX/InitialExplore.py | InitialExplore.py | py | 10,737 | python | en | code | 0 | github-code | 6 |
39907609427 | """
============================
Project: python_class
Author:ๆ ๆชฌ็ญ-Tricy
Time:2021/8/14 19:19
E-mail:3247119728@qq.com
Company:ๆนๅ้ถๆชฌไฟกๆฏๆๆฏๆ้ๅ
ฌๅธ
Site: http://www.lemonban.com
Forum: http://testingpai.com
============================
"""
'''
ๅญๅ
ธ๏ผ-- dict -{} --้่ฆ
1ใๅ
็ด ๏ผ ๅคไธช้ฎๅผๅฏน key ๏ผ value
2ใไฝฟ็จๅบๆฏ๏ผไปไนๆถๅ้่ฆไฝฟ็จๅญๅ
ธไฟๅญๆฐๆฎ๏ผ -- ๅฑๆงๅๅญ-ๅฑๆงๅผ == ... | GDSDvzz/vzz_01 | pythonc/lesson_03.py | lesson_03.py | py | 7,037 | python | zh | code | 0 | github-code | 6 |
17868781057 | # How to Hit Inaccurate Text with a Vector (Arrow) !
from manimlib.imports import *
class HittingInaccurateText(Scene):
def construct(self):
vector = Vector(3 * RIGHT)
runtime = 5
parts = 300
part = 0
theta = 0
while part <= parts:
self.play(Rotating(v... | tinfungster/My_Animations | HittingInaccurateText.py | HittingInaccurateText.py | py | 695 | python | en | code | 1 | github-code | 6 |
45342937416 | import torch
import numpy as np
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import torch.nn.functional as F
from torch.autograd import Variable
from allennlp.modules.augmented_lstm import AugmentedLstm
from allennlp.modules.input_variational_dropout import InputVariati... | makyr90/DL_Syntax_Models | Biaffine_parser_PyTorch/char_lstm.py | char_lstm.py | py | 4,586 | python | en | code | 2 | github-code | 6 |
70571557627 | '''Auxiliary functions'''
import numpy as _np
import pandas as _pd
def update_mindex(dataframe, lvl_name,loc=0,axis=1):
'''Inserts a level named as lvl_name into dataframe df in loc position.
Level can be inserted either in columns (default axis=1) or index (axis=0)'''
mindex_df = dataframe.columns if axi... | aaronhammondgagovau/ginan | scripts/gn_lib/gn_aux.py | gn_aux.py | py | 1,941 | python | en | code | 0 | github-code | 6 |
5510824333 | from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
import cv2
import numpy as np
from detectron2 import model_zoo
cfg = get_cfg()
cfg.merge_from_file(model_zoo.get_config_file("COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml"))
cfg.MODEL.ROI_HEADS.NUM_CLASSES = 1
cfg.MODEL.WEIGHTS... | hoainv99/mc-ocr | modules/image_segmentation/predict.py | predict.py | py | 1,630 | python | en | code | 26 | github-code | 6 |
74934799227 | def cal(s, d):
m = min(s)
t = ''
i = s.index(m)
if(m < d):
t += m + d * i
s = s[i + 1::]
else:
s = []
return s, t
# print(i)
# print(min(s))
for _ in range(int(input())):
n,d = [x for x in input().split()]
s = list(n)
# print(s)
ans = []
ans_final = ''
while(len(s) > 0):
# print(s)
s, t = cal(s... | Chhekur/codechef-solutions | MARCH19B/CHDIGER.py | CHDIGER.py | py | 592 | python | en | code | 1 | github-code | 6 |
70211689149 | from math import sqrt
from os import system
""" ะะฐััะฐะฝั 29
ะะปั ะทะฐะดะฐะฝะพะณะพ ะฝะฐัััะฐะปัะฝะพะณะพ ัะธัะปะฐ n ะพะฑัะธัะปะธัะธ """
sum = 0
n = int(input('ะะฒะตะดััั ะบัะปัะบัััั ัะปะตะฝัะฒ n: ')) # ะะฒะตะดะตะฝะฝั ะบัะปัะบะพััั ัะปะตะฝัะฒ
if n < 1: # ะะตัะตะฒััะบะฐ ะบัะปัะบะพััั ัะปะตะฝัะฒ ะฝะฐ ะฝะฐัััะฐะปัะฝัััั
print('ะงะธัะปะพ n ะฝะต ะผะพะถะต ะฑััะธ ะผะตะฝัะธะผ ะทะฐ 1')
exit(0)
for i i... | Compich/KPI-FICT | ะัะฝะพะฒั ะฟัะพะณัะฐะผะผะธัะพะฒะฐะฝะธั/1 ะบััั/ะะฐะฑะพัะฐัะพัะฝะฐั ัะฐะฑะพัะฐ โ4/Python/main.py | main.py | py | 756 | python | uk | code | 0 | github-code | 6 |
39508101385 | import numpy as np
import matplotlib.pyplot as plt
baseline = np.loadtxt('sub-AD4009_ses-baseline_acq-AP_date-2011-07-07_trc-av45_pet.csv', delimiter=',')
followup = np.loadtxt('sub-AD4009_ses-followup_acq-AP_date-2013-07-03_trc-av45_pet.csv', delimiter=',')
prediction = followup + np.random.normal(0, .025, size=foll... | SanoScience/MP-spreading-prediction | pictures/Graphical_abstract/plot.py | plot.py | py | 1,090 | python | en | code | 4 | github-code | 6 |
5683288254 | import torch.nn as nn
from torch.nn.parameter import Parameter
import torch
import torch.nn.functional as F
class DNN(nn.Module):
def __init__(self, n_input, n_hidden, n_output, real):
super(DNN, self).__init__()
self.loss = 0
self.hidden1 = nn.Linear(n_input, n_hidden, True)
... | asd1354403003/NON | DNN.py | DNN.py | py | 637 | python | en | code | 0 | github-code | 6 |
73558579389 | import re
import math
def bigram_letter_count(text):
bigram_letter = re.findall(r'(?=(\w{2}))', text)
bigram_letter_count = {}
for item in bigram_letter:
if item in bigram_letter_count:
bigram_letter_count[item] += 1
else:
bigram_letter_count[item] = 1
return bi... | bs-feng/GWU_NLP_2017Fall | hw2/letterLangld.py | letterLangld.py | py | 3,087 | python | en | code | 0 | github-code | 6 |
38710107620 | from discord_slash import cog_ext
from discord.ext import commands
from txns import get_wallet
import asyncio
from embeds import *
import discord
import pytz
from datetime import datetime
import random
from client import client
from txns import *
from whitelist import ghosts, ghostsIcons, fo_rank1, fo_rank2, fo_rank3, ... | AngelsOfAres/Fallen-Order-Keepers | c_heimdall/transfers.py | transfers.py | py | 32,658 | python | en | code | 1 | github-code | 6 |
12026015047 | import pygame
# Global Consts
# Colors
BLACK = ( 0, 0, 0)
WHITE = ( 255, 255, 255)
BLUE = ( 0, 0, 255)
RED = ( 255, 0, 0)
GREEN = ( 0, 255, 0)
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
class Player(pygame.sprite.Sprite):
# -- Attribute
# Set speed vector
change_x = 0... | danielp28/Python-Testing | platformer.py | platformer.py | py | 8,838 | python | en | code | 0 | github-code | 6 |
30324581341 | import os, sys, re, pickle, json
import numpy as np
import cv2
import pandas as pd
def get_seq(seq_dir, seq_name):
seq_file = seq_dir + "/" + seq_name + ".pkl"
seq = pickle.load(open(seq_file, "rb"), encoding='latin1')
return seq
def get_3dkeypoints(seq, frame_id, model_id):
"""
SMPL joints
... | egirgin/occlusionIndex | 3dpw/src/utils.py | utils.py | py | 4,338 | python | en | code | 0 | github-code | 6 |
21253269122 | from django.urls import path
from .views import TagContentView #ๅฏผๅ
ฅTagContentView
from .views import XieyiConfigDateView
from .views import NodeConfigMakeDevRequest,NodeConfigCopyRequest,NodeConfigReadAndSaveRequest,NodeConfigDeleteRequest
from .views import XieyiConfigDateOrderView,XieyiTestCaseView,SenderHexDataOrd... | wawj901124/shangbaogongju | apps/shucaiyidate/urls.py | urls.py | py | 3,118 | python | zh | code | 0 | github-code | 6 |
6428170708 | # File: LangChainchatOpenAI.py
# Author: Denys L
# Date: October 8, 2023
# Description:
import os
import sys
import hashlib
from typing import Any
import streamlit as st
from dotenv import load_dotenv
from langchain.callbacks.base import BaseCallbackHandler
from fundamentals.langchain_utils import StuffSummarizerByCh... | lyepustin/bookNLP | app.py | app.py | py | 2,293 | python | en | code | 0 | github-code | 6 |
71723953788 | # coding:utf-8
import datetime
from sqlalchemy import Column, Integer, DateTime, Numeric, create_engine, VARCHAR
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from config import DB_CONFIG, DEFAULT_SCORE
'''
sqlๆไฝ็ๅบ็ฑป
ๅ
ๆฌip๏ผ็ซฏๅฃ๏ผtypes็ฑปๅ(0้ซๅฟๅ๏ผ1้ๆ)๏ผprotocol(0 http,1 https ht... | xindemeng/python-projects | jd_spider/jd_spider/db/SqlHelper.py | SqlHelper.py | py | 6,761 | python | en | code | 0 | github-code | 6 |
18100621514 | """
1971. Find if Path Exists in Graph
https://leetcode.com/problems/find-if-path-exists-in-graph/
"""
from typing import List, Tuple
from unittest import TestCase, main
class UnionFind:
def __init__(self, n: int) -> None:
self.root = list(range(n))
def find(self, a: int) -> int:
"""Returns t... | hirotake111/leetcode_diary | leetcode/1971/solution.py | solution.py | py | 2,023 | python | en | code | 0 | github-code | 6 |
24177027496 | import pygame
from pygame.locals import *
class MyPlane(pygame.sprite.Sprite):
def __init__(self,bg_size, screen):
pygame.sprite.Sprite.__init__(self)
self.screen = screen
self.image1 = pygame.image.load('../img/hero1.png').convert_alpha()
self.image2 = pygame.image.load('../img/he... | daniel-yaoyuan/paperplane | src/hero.py | hero.py | py | 4,088 | python | en | code | 0 | github-code | 6 |
23138969943 |
import argparse
from random import sample
def load_data(fr_file,fw_file):
all_users = []
all_moives = []
for lines in fr_file:
if lines.startswith('i'):
all_moives.append(lines.replace('\n',''))
if lines.startswith('u'):
all_users.append(lines.replace('\n',''))
... | 55TFSI/RKGE | all_paths.py | all_paths.py | py | 1,138 | python | en | code | 0 | github-code | 6 |
10909511760 | from datetime import datetime
from settings import ORDER_TTL, TCS_ACCOUNT_ID
from tinkoff.invest import OrderDirection, OrderType
from tinkoff.invest.schemas import StopOrderDirection as SODir
from tinkoff.invest.schemas import StopOrderExpirationType as SType
from tinkoff.invest.schemas import StopOrderType as SOType... | holohup/trademan-1.0-alpha-public | bot/tools/adapters.py | adapters.py | py | 3,580 | python | en | code | 2 | github-code | 6 |
27597631498 | import math
def coinSums(coins, target):
coins.sort(reverse=True)
if(len(coins) == 1):
if(target % coins[0] == 0):
return 1
else:
return 0
c = coins[0]
del coins[0]
newCoinSum = 0
for i in range(0, math.floor(target/c)+1):
newtarget = target-i*c
... | AbhishekVangipuram/ProjectEuler | 031.py | 031.py | py | 454 | python | en | code | 0 | github-code | 6 |
75112397948 | from flask import Flask, render_template, request, redirect, url_for
import requests
app = Flask(__name__)
@app.route("/", methods=["GET", "POST"])
def index():
try:
nom = request.form['NOM']
prenom = request.form['PRENOM']
email = request.form['EMAIL']
return redirect(url_for(".t... | Foodjubi/fortnite-news | app.py | app.py | py | 4,379 | python | en | code | 0 | github-code | 6 |
34528771620 |
# https://medium.com/javarevisited/the-ultimate-guide-to-binary-trees-47112269e6fc
# There are two ways check both
#udacity course way
class Node(object):
def __init__(self, value):
self.value = value
self.left = None
self.right = None
class BinaryTree(object):
def __init__(self, ... | ved93/PythonPractice | data-strutures/binary_tree.py | binary_tree.py | py | 3,507 | python | en | code | 0 | github-code | 6 |
37366648878 | import configparser
working_dir_list = ['./examples/test-ex1-50d/', './examples/test-ex2']
task_name_list = ['example 1', 'example 2']
task_id = 1
conjugated_eigvec_flag = 0
with_FVD_solution = False
#with_FVD_solution = True
working_dir_name = working_dir_list[task_id]
task_name = task_name_list[task_id]
# read p... | zwpku/EigenPDE-NN | plot_scripts/common.py | common.py | py | 954 | python | en | code | 3 | github-code | 6 |
34042177473 | import datetime
import logging
from django.contrib import auth
from django.http import HttpResponseRedirect, HttpResponseNotFound
from django.utils.translation import check_for_language
from django.shortcuts import render
from blueapps.account.components.bk_token.forms import AuthenticationForm
from gcloud.core.signa... | caiyj/bk-sops | gcloud/core/views.py | views.py | py | 2,776 | python | en | code | null | github-code | 6 |
38870006486 | import gym
import tensorflow as tf
from tensorflow import keras
import random
import numpy as np
import datetime as dt
import imageio
import os
#
# conda activate tf
# export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/
# conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
# o pip install tensorflow
# p... | nhovadia/CSCI4830_final_project | SpaceInvaders_Training.py | SpaceInvaders_Training.py | py | 21,331 | python | en | code | 0 | github-code | 6 |
410815561 | from typing import Tuple
import jax
import jax.numpy as jnp
import jax.scipy.linalg as linalg
from numpy.typing import ArrayLike
def transition_function(F: jnp.array, u: jnp.array, L: jnp.array, h: float, n_linspace=10000) -> Tuple[
ArrayLike, ArrayLike,
ArrayLike]:
r"""
A prior of the form
\... | hallelujahylefay/bayesianSDEsolver | bayesian_sde_solver/ode_solvers/probnum/transition_function.py | transition_function.py | py | 1,114 | python | en | code | 0 | github-code | 6 |
17689667482 | import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
no_resBlocks = 16
HR_shape = 96
train_data_path = '../data/train'
val_data_path = '../data/val'
advLossFactor = 0.001
VGGLossFactor = 0.006
mse_lr = 0.0001
mse_epochs = 700
initial_lr = 0.0001
second_lr = 0.00001
gan_epochs = 140
batch_... | abed11326/Training-a-Super-Resolution-GAN-for-4x-image-upscaling | hypParam.py | hypParam.py | py | 365 | python | en | code | 0 | github-code | 6 |
5390277363 | class Node:
def __init__(self, val):
self.val = val
self.next = None
root = Node(10)
tempNode = root
import numpy as np
for i in np.random.randint(0,100,[10]):
tempNode.next = Node(i)
tempNode = tempNode.next
print(i)
stack = []
print("")
while root:
stack.append(root)
root... | JarvisFei/leetcode | ๅๆofferไปฃ็ /ๆฐๆฎ็ปๆ/้ข่ฏ้ข6:ไปๅคดๅฐๅฐพๆๅฐ้พ่กจ.py | ้ข่ฏ้ข6:ไปๅคดๅฐๅฐพๆๅฐ้พ่กจ.py | py | 388 | python | en | code | 0 | github-code | 6 |
34658203548 | from math import exp
def Newton2(f, dfdx, x0, max_it=20, tol= 1e-3):
f0 = f(x0)
iter = 0
while abs(f0) > tol and iter < max_it:
x1 = x0 - f0/dfdx(x0)
x0 = x1
f0 = f(x0)
iter += 1
converged = iter < max_it
return x0, converged, iter
#call the method for f(x)= x**2-4... | sundnes/python_intro | docs/src/chapter4/Newton2.py | Newton2.py | py | 612 | python | en | code | 5 | github-code | 6 |
5503967408 | # https://www.hackerrank.com/challenges/py-the-captains-room/problem
k = int(input())
array = list(map(int, input().split()))
frequencies = dict()
for element in array:
frequencies[element] = (frequencies[element] if element in frequencies else 0) + 1
for key in frequencies:
if frequencies[key] == 1:
... | Nikit-370/HackerRank-Solution | Python/the-captains-room.py | the-captains-room.py | py | 347 | python | en | code | 10 | github-code | 6 |
9174066290 | load("@bazel_tools//tools/cpp:windows_cc_configure.bzl", "find_vc_path", "setup_vc_env_vars")
load("@bazel_tools//tools/cpp:cc_configure.bzl", "MSVC_ENVVARS")
# Keys: target architecture, as in <Windows-SDK-path>/<target-architecture>/bin/rc.exe
# Values: corresponding Bazel CPU value under @platforms//cpu:*
_TARGET_A... | bazelbuild/bazel | src/main/res/winsdk_configure.bzl | winsdk_configure.bzl | bzl | 3,643 | python | en | code | 21,632 | github-code | 6 |
35004221053 | def solution(word):
seq = {'E': 1, 'I': 2, 'O': 3, 'U': 4}
res = 0
for i in range(len(word)):
char = word[i]
if char == 'A':
res += 1
continue
for j in range(4, i, -1):
res += (5 ** (j-i)) * seq[word[i]]
res += seq[word[i]] + 1
ret... | Inflearn-everyday/study | SimEunJu/programmers/๋ชจ์์ฌ์ .py | ๋ชจ์์ฌ์ .py | py | 328 | python | en | code | 5 | github-code | 6 |
30341447680 | count = 0
n = int(input())
for i in range(0,n):
a, b, c = input().split()
if int(a) + int(b) + int(c) >= 2:
count += 1
else:
continue
print(count) | rakbidb/meng-CP | Codeforces/Python/Problem A/Difficulty 800/Solved/231A-Team.py | 231A-Team.py | py | 177 | python | en | code | 0 | github-code | 6 |
14712071511 | from fastapi import APIRouter, Header
from fastapi.exceptions import HTTPException
from client import get_ccxt_client
router = APIRouter()
@router.get("/info/")
async def list_markets(x_connection_id: str = Header()):
try:
client = get_ccxt_client(x_connection_id)
return client.load_markets()
... | masked-trader/raccoon-exchange-service | src/server/routes/market.py | market.py | py | 2,242 | python | en | code | 0 | github-code | 6 |
42435364768 | import threading
import time
import PySimpleGUI as sg
import psutil
from pathlib import Path
import subprocess
def is_running(process_name):
running = False
for proc in psutil.process_iter():
if process_name in proc.name():
running = True
break
return running
def the_thre... | activatedtmx/GTAV-Auto-DLL-Injector | injector.py | injector.py | py | 5,140 | python | en | code | 1 | github-code | 6 |
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