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75051539708 | # -*- coding: utf-8 -*-
r"""
tests.test_state
~~~~~~~~~~~~~~~~
Tests for the \p State class including movement mechanics and enumeration of the \p MoveSet
class.
:copyright: (c) 2019 by Zayd Hammoudeh.
:license: MIT, see LICENSE for more details.
"""
from typing import Tuple
import pytest
fr... | ZaydH/stratego | src/tests/test_state.py | test_state.py | py | 14,130 | python | en | code | 0 | github-code | 6 |
22844256236 | nstations = int(input())
nlines = int(input())
station_lines = {} # station -> lines
for i in range(nlines):
_, *stations = map(int, input().split())
for st in stations:
station_lines.setdefault(st, []).append(i)
start, end = map(int, input().split())
#===
from itertools import combinations
fr... | sergey-ryzhikov/yandex-alogotrain-3.0B | t40.py | t40.py | py | 1,563 | python | en | code | 0 | github-code | 6 |
30434077830 | #%%
# 신호 기록 가져오기
with open('sample_20200601_pointfinger.txt', 'r') as openfile :
samples = openfile.readlines()
tmp_timests = [ samples[i][:-1] for i in range(len(samples)) if i%3==0 ]
tmp_samples = [ samples[i][:-1] for i in range(len(samples)) if i%3==1 ]
#%%
# 중복된 시간 기록 제거
timests, samples = list(), list()
del... | oimq/DoTheEHands | SignalAnalyzer.py | SignalAnalyzer.py | py | 6,880 | python | en | code | 0 | github-code | 6 |
17968730699 | # Databricks notebook source
# MAGIC %md
# MAGIC # Train Machine Learning Model
# MAGIC
# MAGIC This notebook aims to develop and register an MLFlow Model for deployment consisting of:
# MAGIC - a machine learning model to predict the liklihood of employee attrition.
# MAGIC
# MAGIC This example uses an adapted versio... | nfmoore/azure-databricks-mlops-example-scenarios | core/notebooks/train_model.py | train_model.py | py | 7,954 | python | en | code | 2 | github-code | 6 |
3360586236 | """
백준 1012 : 유기농 배추
"""
"""
BFS - Breath first Search
한번 방문한 지점은 절대로 다시 방문하지 않는다.
"""
from collections import deque
import sys
input=sys.stdin.readline
dx=[-1,1,0,0]
dy=[0,0,-1,1]
# ( -1, 0) ( 1,0) ( 0,-1) (0,1)
def BFS(graph,visit , x, y):
deq=deque()
deq.append([x,y])
visit[x]... | 030831/2023-Winter_Vacation_GroupStudy | 1012.py | 1012.py | py | 1,301 | python | ko | code | 0 | github-code | 6 |
43469204471 | from __future__ import annotations
import yaml
import os
import errno
__all__ = ["save_setup", "read_setup"]
def save_setup(setup: dict, path: str):
"""
Save Model initialization setup dictionary.
Parameters
----------
setup : dict
The setup dictionary to be saved to `YAML <https://yaml... | DassHydro-dev/smash | smash/io/setup_io.py | setup_io.py | py | 2,170 | python | en | code | 2 | github-code | 6 |
13289274017 | import os
import platform
import sys
try:
from pip._internal.operations import freeze
except ImportError: # pip < 10.0
from pip.operations import freeze
py_version = sys.version.replace("\n", " ")
py_platform = platform.platform()
pkgs = freeze.freeze()
pip_pkgs = "\n".join(
pkg
for pkg in pkgs
... | kalaracey/runhouse | collect_env.py | collect_env.py | py | 1,178 | python | en | code | null | github-code | 6 |
74175163389 | # -*- coding:utf-8 -*-
"""
题目描述：大家都知道斐波那契数列，现在要求输入一个整数n，请你输出斐波那契数列的第n项（从0开始，第0项为0）
"""
class Solution:
def Fibonacci(self, n):
# write code here
dp = [0,1]
if n>=2:
for i in range(2,n+1):
dp.append(dp[i-1]+dp[i-2])
return dp[n]
| xxxsssyyy/offer-Goal | 07斐波那契数列.py | 07斐波那契数列.py | py | 392 | python | zh | code | 7 | github-code | 6 |
10420754903 | from __future__ import annotations
import asyncio
import os
import platform
import re
from asyncio import IncompleteReadError, StreamReader, StreamWriter
from pathlib import Path
from typing import TYPE_CHECKING
from randovania.patching.patchers.exceptions import UnableToExportError
if TYPE_CHECKING:
from collec... | randovania/randovania | randovania/games/prime2/patcher/csharp_subprocess.py | csharp_subprocess.py | py | 3,321 | python | en | code | 165 | github-code | 6 |
21764328772 | # Approach 1 - Breadth-First Search
# Time: O(N)
# Space: O(N)
from collections import deque
class Solution:
def orangesRotting(self, grid: List[List[int]]) -> int:
queue = deque()
# build the initial set of rotten oranges
fresh_oranges = 0
ROWS, COLS = len(grid), len(gri... | jimit105/leetcode-submissions | problems/rotting_oranges/solution.py | solution.py | py | 1,876 | python | en | code | 0 | github-code | 6 |
72613074749 | #Importing the Morse code Letters
from letter_morse import ENGLISH_TO_MORSE
#Looping through the letters
MC_TO_ENGLISH = {}
for key, value in ENGLISH_TO_MORSE.items():
MC_TO_ENGLISH[value] = key
#Function for converting Eng to Morse
def english_to_mc(message):
morse = []
for char in message:
... | Bophelo11/Morse-Code-convertor | MorseCodeConverterPortfolio/main.py | main.py | py | 1,375 | python | en | code | 0 | github-code | 6 |
25363489701 | import psycopg2
from users import *
from moderators import *
def menu(): # Menu voor het kiezen van de verschillende opties.
while True:
print("Welcome to our program.")
menu_choice = int(input("1. Would you like to leave a message?\n"
"2. Would you like to log in as a m... | DamianPlomp/stationszuil | main.py | main.py | py | 850 | python | en | code | 0 | github-code | 6 |
42857124490 | import pytest
from django.conf import settings
from django.test import override_settings
from .compat import nullcontext
def pytest_configure():
settings.configure(
**dict(
SECRET_KEY="abcd",
INSTALLED_APPS=[
"django.contrib.auth",
"django.contrib.s... | thaitl235/djangorestframework-api-key | tests/conftest.py | conftest.py | py | 2,739 | python | en | code | null | github-code | 6 |
2338682136 | import pandas as pd
import numpy as np
import json
from collections import defaultdict
from play_by_play import PlayByPlay
#define front end variables
DATE = '2015-12-25'
SEASON = '2015-16'
SEASON_TYPE = 'Regular+Season' # 'Regular+Season' or 'Playoffs'
HOME_TEAM = 'LAL'
def build_df(json):
rows = []
for fr... | nalin1096/DS5500_Player_Tracking_and_Identification_NBA | helpers/play_by_play/pbp_ocr.py | pbp_ocr.py | py | 4,444 | python | en | code | 6 | github-code | 6 |
37961270756 | import dash_html_components as html
import dash
from dash.dependencies import Input, Output
import dash_table
import pandas as pd
import dash_core_components as dcc
df = pd.read_csv('GraphVisualizationLearning\/data.csv')
# print(df['seed'][2])
# print(df['seed'])
del df['seed']
# df = df.dropna()
dff = df[["Config",... | shashank793/DataVisualisation | venv/simple_graph/create_tabl.py | create_tabl.py | py | 6,981 | python | en | code | 0 | github-code | 6 |
22666651676 |
def main():
# Upper limit is the highest 1_2_3_4_5_6_7_8_9_0 number
# while the lower limit is the lowest.
#
# Returns the first (only) number that matches
# the given pattern mathematically.
#
# The variable i has to end in 0, for the square to also
# end with the number 0, therefore... | kakuttaja/project-euler | 206.py | 206.py | py | 934 | python | en | code | 0 | github-code | 6 |
438092224 | from django.http import HttpResponse
from django.shortcuts import redirect, reverse, render
from cart.models import Cart, Item, OrderItem, Basket
from product_listing.models import Product
import cart.forms
import datetime
from django.contrib.auth import authenticate
# Create your views here.
def index(request):
cont... | ftaoussi/COMP307---Marketplace | cart/views.py | views.py | py | 4,769 | python | en | code | 0 | github-code | 6 |
39702394709 | from flask import Blueprint
from flask import render_template, url_for, request
from flask import make_response, send_from_directory
from werkzeug.utils import secure_filename
import os
from apps.xmind2caseapp import write2excel, xmind2case
x2c = Blueprint('x2c',__name__)
# workpath = os.getcwd()
workpath=os.path.di... | siqyka/QtestTool | x2c.py | x2c.py | py | 1,860 | python | en | code | 0 | github-code | 6 |
29127983258 | from django.test import TestCase
from django.utils.translation import ugettext_lazy as _
from social_links import forms
class LinksFormTests(TestCase):
def taset_clean_url(self):
valid_urls = [['https://www.example.com','https://www.example.com']
['http://www.example.com','http://w... | TimBest/ComposersCouch | social_links/tests/tests_forms.py | tests_forms.py | py | 5,893 | python | en | code | 1 | github-code | 6 |
5384553044 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import os
__DIR__ = os.path.abspath(os.path.dirname(__file__))
from ply import lex, yacc
from .data import Domain, MsgId, MsgStr, MsgStrPlural, MsgStrList, Message
class ParserException(Exception):
pass
DEB... | takada-at/ponda | ponda/parser.py | parser.py | py | 5,662 | python | en | code | 0 | github-code | 6 |
37269948830 | def unboundedKnapsack(n, w, items, weights):
if n == 0 or w == 0:
return 0
if dp[n][w] != -1:
return dp[n][w]
if weights[n-1] <= w:
dp[n][w] = max(items[n-1]+unboundedKnapsack(n, w-weights[n-1],
items, weights), unboundedKnapsack(n-1, w, items, weights))
... | richiabhi/Self---Dp | unboundedKnapsack memoized.py | unboundedKnapsack memoized.py | py | 593 | python | en | code | 0 | github-code | 6 |
34371656679 |
############################################################################################################
from colorama import *
import os
import requests
import re
############################################################################################################
def search_words_in_file(file_path,... | OMGmultitools/Anti-Grabber | Anti Grabbee.py | Anti Grabbee.py | py | 3,123 | python | en | code | 0 | github-code | 6 |
2052137958 | # Program to try and work out the power spectrum
import numpy as np
import matplotlib.pyplot as plt
from scipy.fftpack import fft, fftfreq, ifft
n = 1024
Lx = 100
omg = 2.0*np.pi/Lx
x = np.linspace(0, Lx, n)
y1 = 1.0*np.cos( 5.0*omg*x)
y2 = 1.0*np.sin(10.0*omg*x)
y3 = 0.5*np.sin(20.0*omg*x)
y = y1 + y2 + y3
act = y1... | arunprasaad2711/Python_IISC_SIAM_2017 | Programs_Session3/06_FFT_IFFT_example.py | 06_FFT_IFFT_example.py | py | 2,057 | python | en | code | 8 | github-code | 6 |
37555045718 | # Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
# https://arxiv.org/ftp/arxiv/papers/1702/1702.00288.pdf
# reference https://github.com/SSinyu/RED-CNN
import os
import numpy as np
import torch.nn as nn
from model import common
def make_model(args, parent=False):
return REDCNN(... | stefenmax/pytorch-template-medical-image-restoration | src-v3/model/redcnn.py | redcnn.py | py | 2,084 | python | en | code | 6 | github-code | 6 |
39868308641 | from django.db import models
from main.model.playlist import Playlist
from main.model.track import Track
class PlaylistTracks(models.Model):
playlist = models.ForeignKey(
Playlist, on_delete=models.CASCADE
) # при удалении плейлиста чистится кросс-таблица
track = models.ForeignKey(
... | artemgv/spacemusic | app/main/model/playlisttracks.py | playlisttracks.py | py | 992 | python | en | code | 0 | github-code | 6 |
39697377859 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
# index boundaries for time 3D plot
nStart = 140000
nEnd = 160000
with open("time_series_stochastic_old.txt", "r") as file:
lines = file.readlines()
time = []
intensity = []
E_real = []
E_imag = []
for line in lines:... | sir-aak/microscopically-derived-rate-equations | plotscripts/mdre_plotscript_spiking_detail.py | mdre_plotscript_spiking_detail.py | py | 1,701 | python | en | code | 1 | github-code | 6 |
72357813309 | # ==============================================================================
# Main runner entry point for the project
# Implemented using SAGE math library
#
# Author: Malo RANZETTI
# Date: Spring 2023
# ==============================================================================
import os
import msidh
import ... | mrztti/M-SIDH | run.py | run.py | py | 5,043 | python | en | code | 1 | github-code | 6 |
25602972286 | def sums(items):
luvut = {0: 1}
x = 0
for i in items:
new = {}
for j in luvut:
summa = i + j
new.update({j: 1})
if summa not in luvut:
new.update({summa: 1})
x += 1
luvut = new
return x
# Juho Heiskasen ratkais... | Noppacase22/DSA-2022 | sums.py | sums.py | py | 1,076 | python | en | code | 0 | github-code | 6 |
43168508245 | import asyncio
import json
import logging
import typing
from pathlib import Path
import discord
from discord.ext import commands
from fuzzywuzzy import process
from roycemorebot.constants import (
Categories,
Channels,
Emoji,
Guild,
MOD_ROLES,
StaffRoles,
)
log = logging.getLogger(__name__)
... | egelja/roycemorebot | roycemorebot/exts/subscriptions.py | subscriptions.py | py | 15,209 | python | en | code | 1 | github-code | 6 |
24522571380 | import torch
import torch.nn as nn
import torch.optim as optim
from torchvision import datasets, transforms
# 定义客户端类
class Client:
def __init__(self, model, train_loader, test_loader, lr=0.1):
self.model = model
self.train_loader = train_loader
self.test_loader = test_loader
self.op... | huguangs/NIID-Bench-main-master | top-k/main.py | main.py | py | 4,358 | python | en | code | 0 | github-code | 6 |
22868199973 | from global_function import data_exist, rindex
import pickle
def Filter_Redundancy(type, query, replace_space, replace_percentage, replace_apostrophe, replace_plus):
with open('Resources/redundancy/media search redundancy filter.pck', 'rb') as file:
media_search_redundancy = pickle.load(file)
for... | TroySigX/smartbot | mediaSearch.py | mediaSearch.py | py | 2,195 | python | en | code | 2 | github-code | 6 |
36813380552 | """empty message
Revision ID: 073719702e2e
Revises: 23ecd00cae18
Create Date: 2020-03-29 13:31:19.799319
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '073719702e2e'
down_revision = '23ecd00cae18'
branch_labels = None
depends_on = None
def upgrade():
# ... | koiic/project-tracker | migrations/versions/073719702e2e_.py | 073719702e2e_.py | py | 1,333 | python | en | code | 0 | github-code | 6 |
15412087448 | from django.shortcuts import render
from django.http import HttpResponse
from django.utils.translation import get_language
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.decorators import login_required
from django.conf import settings
from . import Checksum
from paytm.models import Pa... | harishbisht/paytm-django | payments/paytm/views.py | views.py | py | 2,130 | python | en | code | 31 | github-code | 6 |
75066284348 | import torch
import logging
import pickle
from core.utils import scale_image, save_layer_image
from data import image_corruption
def evaluate(model, loader, args, perturbation=False, pSize=0, **kwargs):
objective_function= kwargs.get('objective_function', None)
device = kwargs['device']
if 'epoch' in kwar... | SMRhadou/UnrolledGlow | core/evaluation.py | evaluation.py | py | 1,612 | python | en | code | 0 | github-code | 6 |
31512974964 | import json
import requests
import constants
import tokens
def make_api_call(access_token, url, method, **kwargs):
response = method(
url=url,
headers={
"Accept": "application/json",
"Content-Type": "application/json",
"Authorization": f"Bearer {access_token}",... | rjshearme/spotify_recently_added_playlist | api.py | api.py | py | 1,168 | python | en | code | 0 | github-code | 6 |
35608959841 | #!/usr/bin/env python
try:
import orz
except ImportError:
import os
import sys
curr_path = os.path.abspath(os.path.dirname(__file__))
sys.path.append(os.path.join(curr_path, "D:\Working\OpenRoleZoo\OpenRoleZoo\python"))
import orz
import os
def timestamp(filename):
if not os.path.exists(f... | SeetaFace6Open/OpenRoleZoo | python/model2model2.py | model2model2.py | py | 1,296 | python | en | code | 1 | github-code | 6 |
70680835069 | from flask import Flask
from flask import render_template
import ffmpeg_streaming
from ffmpeg_streaming import Formats
import sys
app = Flask(__name__)
@app.route("/")
def streaming():
return render_template('streaming.html')
@app.route('/video')
def video_server():
video = ffmpeg_streaming.input('pexels_video.... | ifcassianasl/python_test_rtsp | main.py | main.py | py | 764 | python | en | code | 1 | github-code | 6 |
21629194042 | import tensorflow as tf
from data_structures import UNK_label, PAD_label
def TEEmbeddingLayer(size_TE_label_vocab, size_TE_label_embed, TE_label_set):
if TE_label_set == 'none':
raise NotImplementedError('Can\'t embed TE labels if there are no TE labels')
return tf.keras.layers.Embedding(size_TE_lab... | bnmin/tdp_ranking | frozen_bert/te_embedding.py | te_embedding.py | py | 1,927 | python | en | code | 1 | github-code | 6 |
779248836 | from dataclasses import dataclass
from typing import Annotated, List
from fastapi import Depends
from fastapi_pagination import Page
from fastapi_pagination.ext.sqlalchemy import paginate
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from config.db import get_db_session
from readconnec... | YeisonKirax/readconnect-back | src/readconnect/books/infrastructure/db/repository/books_repository.py | books_repository.py | py | 2,625 | python | en | code | 0 | github-code | 6 |
11232494681 | from collections import defaultdict
ENTER = "Enter"
LEAVE = "Leave"
CHANGE = "Change"
ENTER_MESSAGE = "님이 들어왔습니다."
LEAVE_MESSAGE = "님이 나갔습니다."
class ChatRoom:
def __init__(self):
super().__init__()
def operation(result, command, chatRoom, nicknames, uid="", name=""):
if command == ENTER:
... | gatherheart/Solved_PS | KAKAO/2019_KAKAO_1.py | 2019_KAKAO_1.py | py | 1,378 | python | en | code | 0 | github-code | 6 |
70276262907 | import torch
import time
import argparse
from importlib import import_module
import numpy as np
import utils
import train
parser = argparse.ArgumentParser(description='BertClassifier')
# parser.add_argument('--model', type=str, default='BertFc', help='choose a model')
# parser.add_argument('--model', type=str, defaul... | Jacquelin803/Transformers | BertClassifier/main.py | main.py | py | 2,007 | python | en | code | 1 | github-code | 6 |
5489764282 | """
Module that provides different readers for trajectory files.
It also provides a common interface layer between the file IO packages,
namely pygmx and mdanalysis, and mdevaluate.
"""
from .checksum import checksum
from .logging import logger
from . import atoms
from functools import lru_cache
from collections impo... | mdevaluate/mdevaluate | mdevaluate/reader.py | reader.py | py | 12,347 | python | en | code | 5 | github-code | 6 |
73492056828 | #Name: Ishika Soni
#Email: ishika.soni97@myhunter.cuny.edu
#Date: October 4, 2021
#This program asks the user for a 6-digit hex number and uses it as the hex code
#to stamp 4 turtles of that color into a square.
import turtle
mess = input("Please enter a 6-digit Hexadecimal number: ")
wn = turtle.Screen()
alex = tur... | issoni/Short-Turtle-Graphics | 14colored-square.py | 14colored-square.py | py | 454 | python | en | code | 0 | github-code | 6 |
5446974377 | import numpy as np
import scipy as sp
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import cm
def func2(x):
return np.round(np.random.random())
def func(x,y,z,r):
l = np.linalg.norm(np.array([x,y,z]))
if(l < r):
return 1.0
else:
return 0.0
def normalize_signal_1d(... | mcastrorib/bergman_periodic_solution | python/fft_test.py | fft_test.py | py | 9,440 | python | en | code | 0 | github-code | 6 |
74796406586 | from torch.utils.tensorboard import SummaryWriter
from torchvision import transforms
import cv2
from PIL import Image
# 1、transform使用Totensor
img_path = "../dataset/train/ants/0013035.jpg"
img_PIL = Image.open(img_path)
tensor_trans = transforms.ToTensor()
img_tensor = tensor_trans(img_PIL)
# 2、tensor数据类型
writer = S... | ccbit1997/pytorch_learning | src/learn_transform.py | learn_transform.py | py | 1,344 | python | en | code | 0 | github-code | 6 |
37562147384 | """helper
=============
Helper functions for inventory scripts.
"""
__author__ = "Balz Aschwanden"
__email__ = "balz.aschwanden@unibas.ch"
__copyright__ = "Copyright 2017, University of Basel"
__credits__ = ["Balz Aschwanden"]
__license__ = "GPL"
import json
import os
import socket
def get_hostname():
"""Ret... | ANTS-Framework/ants | antslib/inventory/helper.py | helper.py | py | 1,278 | python | en | code | 42 | github-code | 6 |
24981950749 |
fishlist = list(map(int, open('2021\D6\input.txt','r').read().split(',') ))
print(fishlist)
days = 256
numfish = []
numfish.append([0]*7) # old fish 0 -> 6
numfish.append([0]*2) # new fish 0 -> 1
out = 0
for fish in fishlist:
numfish[0][fish] += 1
for day in range(days):
temp = [0]*7
... | elliotcoy/AdventOfCode2021 | 2021/D6/P2.py | P2.py | py | 677 | python | en | code | 0 | github-code | 6 |
35413595898 | # -*- coding:utf-8 -*-
import random
import pygame
class BoardManager:
WALL = 0
FOOD = 1
NONE = 2
HEAD = 3
BODY = 4
def __init__(self, x_blocks, y_blocks, block_width, origin_x, origin_y, caption):
self.x_blocks = x_blocks
self.y_blocks = y_blocks
# NONE的方块
sel... | coderwf/pygames | glutsnake/board.py | board.py | py | 4,748 | python | en | code | 0 | github-code | 6 |
6606127726 | dx = [0, 0, 1, -1]
dy = [-1, 1, 0, 0]
def solution(game_board, table):
def rotate():
tmp = []
for elm in block_piece:
start_x, start_y = elm[0]
space = [(0, 0)]
for x, y in elm[1:]:
space.append((start_y-y, x-start_x))
space.sort(key=... | JeongGod/Algo-study | hyeonjun/18week/p84021.py | p84021.py | py | 2,031 | python | en | code | 7 | github-code | 6 |
34787406936 | from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from wordcloud_process import wordcloud_img
from article_loader import ArticleLoader
article_loader = ArticleLoader('english_corpora.yaml')
articles = article_loader.load()
def feature_and_matrix(arti... | is3ka1/NLP-Practice | week1/english_news_analyse.py | english_news_analyse.py | py | 1,252 | python | en | code | 0 | github-code | 6 |
21836192189 | import sys
from pprint import pprint
sys.stdin = open('../input.txt', 'r')
N = int(input())
dp = [[0] * 10 for _ in range(N)]
dp[0] = [1] * 10
for i in range(1, N): # 행
for j in range(10): # 열
for k in range(j, 10):
dp[i][k] += dp[i-1][j]
print(sum(dp[N-1]) % 10007) | liza0525/algorithm-study | BOJ/boj_11057_increasing_number.py | boj_11057_increasing_number.py | py | 298 | python | en | code | 0 | github-code | 6 |
25172905892 | #%%
import pandas as pd
import altair as alt
import numpy as np
from sklearn.neighbors import NearestNeighbors
alt.data_transformers.disable_max_rows()
#%%
RADICL_file="/home/vipink/Documents/FANTOM6/HDBSCAN_RADICL_peak/data/processed/chr16_filter_df.csv"
#%%
radicl_df = pd.read_csv(RADICL_file,delimiter="\t")
# Obser... | princeps091-binf/HDBSCAN_RADICL_peak | scripts/RADICL_read_neighbourhood.py | RADICL_read_neighbourhood.py | py | 2,053 | python | en | code | 0 | github-code | 6 |
6597568149 | from numpy.polynomial import Polynomial as P
from numpy import polynomial
print("Interpolação de Newton")
pontos = []
k = 0
while True:
k += 1
while True:
print("Digite as coordenadas do ", k, "º ponto separados por espaço:", end="\nf para finalizar \n")
l = input()
if l == "f".lower... | fernandoajn/calculo-numerico | metodos/newton.py | newton.py | py | 2,151 | python | pt | code | 1 | github-code | 6 |
70622403067 | class Car :
addr = '서울' #static 변수 역할
__slots__ = ['name', 'price', 'company'] # 슬롯 . 이 클래스가 가질 수 있는 멤버변수명을 미리 지정해 줄 수 있다.
def __init__(self, **args):
if 'name' in args:
# self.add(value) #이런식으로 넣을 수 없음 의미가없다.
self.name = args['name']
if 'price' in args:
... | Yang-Seungjae/Python | test.py | test.py | py | 1,048 | python | ko | code | 0 | github-code | 6 |
3721769844 | import io
import time
from openpyxl import Workbook
import openpyxl as O
import speedtest
import re
import sys
import psycopg2
from psycopg2 import Error
from datetime import datetime
import hashlib
from .connection import Connection
cn=Connection()
class SpeedPage():
def asking_name(self):
print("Введите ваше ИМЯ... | Astarota/SpeedTestCLI | pages/speed_page.py | speed_page.py | py | 3,737 | python | en | code | 0 | github-code | 6 |
29192430322 |
# Hack 1: InfoDB lists. Build your own/personalized InfoDb with a list length > 3, create list within a list as illustrated with Owns_Cars
InfoDb = []
# List with dictionary records placed in a list
InfoDb.append({
"FirstName": "Joan",
"LastName": "Mir",
"Number":... | kkwan0/Tri-3-Kurtis-Kwan | week1/infoDB.py | infoDB.py | py | 2,157 | python | en | code | 0 | github-code | 6 |
8909257357 | import numpy as np
import cv2
import os
from PIL import Image
X = 10 # 0
Y = 105 # 95
WIDTH = 215 # 356
HEIGHT = 440 # 440
def process_img(original_img):
processed_img = cv2.cvtColor(original_img, cv2.COLOR_BGR2GRAY)
processed_img = cv2.resize(processed_img, (10, 20))
return processed_img
def grab_screen... | sebastianandreasson/tetris_tensorflow | grab_screen.py | grab_screen.py | py | 671 | python | en | code | 0 | github-code | 6 |
6748902164 | import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
import keyboard
import os
import pandas as pd
train_data_path = os.path.join('artifacts', "attendance.csv")
os.makedirs(os.path.dirname(train_data_path), exist_ok=True)
columns =['Name','Time']
test = []
train = pd.DataFrame(... | aruneer007/attendance | face.py | face.py | py | 2,859 | python | en | code | 0 | github-code | 6 |
9580721700 | """
Tomasulo main module.
"""
import argparse
import logger
from machine import Machine
def main():
"""
Main entry point.
Parses command line argument and begins execution.
:return: None
"""
parser = argparse.ArgumentParser(description='Simulate execution of DLX code on a Tomasulo processor.... | kaledj/TomasuloSim | tomasulo.py | tomasulo.py | py | 751 | python | en | code | 0 | github-code | 6 |
7946627355 | from cs50 import get_float
# The coins
quarter = 25
dime = 10
nickel = 5
penny = 1
# Counter for change owed
counter = 0
# To get the number from user
while True:
dollars = get_float("Change owed: ")
if dollars >= 0:
break
# Converting to cents
cents = int(round(dollars * 100))
... | eiliaJafari/CS50X-2021 | ProblemSets/6/cash.py | cash.py | py | 774 | python | en | code | 0 | github-code | 6 |
73951878269 | """
faster
"""
class Solution:
def countArrangement(self, N: int) -> int:
li=list(range(0,N+1)) # 1-indexing # 0 is useless
self.ans=0
def backtrack(right): # swap from RHS
# from RHS is better since larger numbers are less likely to be Beautiful
# if we start from left to right there will ... | y56/leetcode | 526. Beautiful Arrangement/solns.py | solns.py | py | 1,643 | python | en | code | 0 | github-code | 6 |
24436690438 | from __future__ import annotations
import idaapi
import pyphrank.utils as utils
from pyphrank.ast_analyzer import CTreeAnalyzer, TFG
from pyphrank.cfunction_factory import CFunctionFactory
from pyphrank.type_flow_graph_parts import Node, UNKNOWN_SEXPR
def get_funcname(func_ea: int) -> str:
return idaapi.get_name(f... | Mizari/phrank | pyphrank/function_manager.py | function_manager.py | py | 5,588 | python | en | code | 51 | github-code | 6 |
35492004084 | from ninja import Router
from ninja import NinjaAPI, File
from ninja.files import UploadedFile
from django.http import HttpResponse
from RECOGNIZE.text_reader import OCR_Reader
import io
import PIL.Image as Image
import cv2
import os
import time
import json
import uuid
import requests
router = Router()
path = __file__... | fakhrilak/image_recognize | RECOGNIZE/index.py | index.py | py | 2,687 | python | en | code | 0 | github-code | 6 |
35010781963 | from grafo.Grafo import *
from collections import deque
class EdmondsKarp:
def __init__(self, grafo: Grafo) -> None:
self.grafo = grafo
self.fluxo = {arco: 0 for arco in self.grafo.arcos.values()}
self.fluxo = {}
for arco in self.grafo.arcos.values():
self.fluxo[(arco.v... | jdanprad0/INE5413-Grafos | Atividade-03-Grafos/algoritmos_t3/edmondsKarp/EdmondsKarp.py | EdmondsKarp.py | py | 2,190 | python | en | code | 0 | github-code | 6 |
6159961636 | import json
a = {
"name": "ivo",
"age": "22"
}
def serialize_to(path, data):
json_string = json.dumps(a, indent=4)
with open(file, "w") as f:
f.write(json_string)
def unserialize_from(path):
with open(path, "r") as f:
contents = f.read()
return json.loads(contents)
| Vencislav-Dzhukelov/101-3 | week3/3-Panda-Social-Network/panda_json.py | panda_json.py | py | 316 | python | en | code | 0 | github-code | 6 |
18101264424 | from typing import List, Tuple
from unittest import TestCase, main
class Solution:
def longestPalindrome(self, s: str) -> str:
def func(left: int, right: int, longest: str) -> str:
"""returns the longest palindromic substring using left and right index"""
longest_length = len(longe... | hirotake111/leetcode_diary | leetcode/longest_palindromic_substring/solution.py | solution.py | py | 1,187 | python | en | code | 0 | github-code | 6 |
25408409971 | from FemFrameTool import read_fun, read_vel
from RPData import RPData
# from IntegratorST import integrate_by_st_vert, integrate_by_st_vem
import numpy as np
import pandas as pd
def calc_area_field(relative_path):
area = read_fun(relative_path + 'field_1.fun')
return area
def calc_height_field(relative_path):
he... | brilliantik/Color_ST_Integrate | CalcParam.py | CalcParam.py | py | 7,887 | python | en | code | 0 | github-code | 6 |
13974817829 | from pydantic import BaseModel, Field
from typing import List, Union
import pydantic
from .validators import validate_polygon, validate_is_plane_orthogonal_to_polygon, validate_plane_normal_is_not_zero
class Point3DModel(BaseModel):
__root__: List[float] = Field(..., min_items=3, max_items=3)
class PlaneModel... | mikheev-dev/polygon_splitter | src/data_model.py | data_model.py | py | 2,164 | python | en | code | 1 | github-code | 6 |
33551925024 | import requests as rq
from dotenv import load_dotenv
import os
import smtplib
import sys
class FPL:
URL = 'https://fantasy.premierleague.com/api/bootstrap-static/'
def __init__(self):
self.response_raw = rq.get(FPL.URL)
load_dotenv()
self.email_sent = os.getenv('EMAIL_SENT')
... | FilleDille/fpl_reg_chaser | main.py | main.py | py | 1,966 | python | en | code | 0 | github-code | 6 |
35416632908 | import logging
import battle.main
import memory.main
import screen
import xbox
FFXC = xbox.controller_handle()
logger = logging.getLogger(__name__)
def yojimbo(gil_value: int = 263000):
logger.info("Yojimbo overdrive")
screen.await_turn()
memory.main.wait_frames(6)
if not screen.turn_aeon():
... | coderwilson/FFX_TAS_Python | battle/overdrive.py | overdrive.py | py | 723 | python | en | code | 14 | github-code | 6 |
5480419217 | import os
import requests
from bs4 import BeautifulSoup
import re
import time
import sys
user_agent = 'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36'
def get_music_data(url):
"""
用于获取歌曲列表中的歌曲信息
"""
headers = {'User-Agent':user_agent}
... | haochen1204/Reptile_WYYmusic | 网易云爬虫.py | 网易云爬虫.py | py | 3,336 | python | en | code | 1 | github-code | 6 |
35177658753 | import numpy as np
from sklearn.model_selection import train_test_split
class ToyDataset:
def __init__(self, min_len, max_len):
self.SOS = "<s>"
self.EOS = "/<s>"
self.characters = list("abcd")
self.int2char = self.characters
# 1 for SOS, 1 for EOS, 1 for padding
... | xuzhiyuan1528/tf2basic | Seq2Seq/Utils.py | Utils.py | py | 2,080 | python | en | code | 0 | github-code | 6 |
25205799104 | # -*- coding: utf-8 -*-
"""
Abstract class for detectors
"""
import abc
class Embedder(abc.ABC):
@abc.abstractmethod
def embed(self):
'Return embed features'
return NotImplemented
@abc.abstractmethod
def get_input_shape(self):
'Return input shape'
return NotI... | chunhanl/ElanGuard_Public | src/face_reid/embedders.py | embedders.py | py | 10,556 | python | en | code | 13 | github-code | 6 |
17176402024 | import datetime
import h5py
import librosa
import numpy as np
import os
import pandas as pd
import soundfile as sf
import sys
import time
import localmodule
# Define constants.
data_dir = localmodule.get_data_dir()
dataset_name = localmodule.get_dataset_name()
orig_sr = localmodule.get_sample_rate()
negative_labels ... | BirdVox/bv_context_adaptation | src/001_generate-audio-clips.py | 001_generate-audio-clips.py | py | 6,126 | python | en | code | 8 | github-code | 6 |
31854187897 | # 歌词解析程序
# 歌词管理器 <> 词句
import time
import os
# 建立数据模型，储存一句歌词的相关信息
class LrcItem:
time = 0.0 # 以秒为单位的时间
seg = "" # 一句歌词
def __init__(self, time, seg):
self.time = time
self.seg = seg
# 歌词管理器，负责通过时间获取歌词
class LrcManager:
lrcList = []
# 设置歌词路径
def set_lrc_path(self, pat... | 920630yzx/python_course | pycharm学习-进阶篇/面向对象的程序设计/4.1歌词（项目）.py | 4.1歌词（项目）.py | py | 2,916 | python | zh | code | 0 | github-code | 6 |
8385108161 | from __future__ import absolute_import
from __future__ import print_function
import argparse
from lxml import etree
parser = argparse.ArgumentParser(
description='Create tls links from sumo net as needed by tls_csv2SUMO.py. You have to edit the link number ' +
'field (preset with g). The comment gives the lin... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/tls/createTlsCsv.py | createTlsCsv.py | py | 1,181 | python | en | code | 17 | github-code | 6 |
35279730803 | from flask import Flask, url_for, render_template, request, flash, redirect, session, abort, jsonify
import RPi.GPIO as GPIO
import subprocess, os, logging
import ipdb
from config import Config
from time import sleep
'''initial VAR'''
# Light GPIO
RELAIS_4_GPIO = 2
# Water GPIO
RELAIS_WATER_GPIO = 22
logging.basicCo... | oldgiova/python-api-webservice-lightscontrol | main.py | main.py | py | 3,747 | python | en | code | 0 | github-code | 6 |
31211285971 | ''' TAREA5
Determina el tamaño de muestra requerido por cada lugar decimal
de precisión del estimado obtenido para el integral, comparando
con Wolfram Alpha para por lo menos desde uno hasta siete decimales;
representa el resultado como una sola gráfica o de tipo caja-bigote
o un diagrama de... | Elitemaster97/Simulacion | Tarea5/Tarea5.1.py | Tarea5.1.py | py | 3,447 | python | es | code | 0 | github-code | 6 |
40140601153 | import streamlit as st
import pandas as pd
st.set_page_config(layout="wide")
col1, col2 = st.columns([3, 1])
option = None
df = pd.read_csv('reuters_summaries.csv')
with col2:
st.write("")
st.write("")
st.write("")
st.write("")
st.write("")
option = st.selectbox('', ['Crude Oil', 'Biofuel'])... | Jayanth-Shanmugam/news-articles-summarization | pages/Reuters.py | Reuters.py | py | 1,302 | python | en | code | 0 | github-code | 6 |
21107944564 | from classification.image_to_array import imageTonpv
from classification.cnn_class import cnn_class
import csv
from os import listdir
from os.path import isfile, join
import cv2
import numpy as np
def finalReport(label_ids = [], cids_test = [], class_count=[], class_viability =[], path = '', model='' ):
v... | chenxun511happy/Cartilage-Net | classification/ClassifyMain.py | ClassifyMain.py | py | 5,545 | python | en | code | 1 | github-code | 6 |
73573186747 | import requests
addresses = {
"TXA2WjFc5f86deJcZZCdbdpkpUTKTA3VDM": "energyRateModelContract",
"TSe1pcCnU1tLdg69JvbFmQirjKwTbxbPrG": "sTRXImpl",
"TU3kjFuhtEo42tsCBtfYUAZxoqQ4yuSLQ5": "sTRXProxy",
"TNoHbPuBQrVanVf9qxUsSvHdB2eDkeDAKD": "marketImpl",
"TU2MJ5Veik1LRAgjeSzEdvmDYx7mefJZvd": "marketProxy",
}
json_ori =... | dpneko/pyutil | contract_whitelist.py | contract_whitelist.py | py | 733 | python | en | code | 0 | github-code | 6 |
74306420987 | from dataclasses import dataclass
from sqlalchemy import (Boolean, Column, DateTime, ForeignKey, Integer,
MetaData, Numeric, String, Table, create_engine)
metadata = MetaData()
@dataclass
class IOLModel:
sql_path: str
def __post_init__(self):
self.metadata = MetaData()
... | fscorrales/apys | src/apys/models/iol_model.py | iol_model.py | py | 7,935 | python | en | code | 0 | github-code | 6 |
39386351985 | from board import Board
from piece import Grid_Point
#variable controlling board size
size = 8
current_player = 'O'
def main():
#create board and current player string
selection = 0
global size
global current_player
#loop until player starts game
while(selection != '1'):
... | dank-dan-k/Reversi | main.py | main.py | py | 6,101 | python | en | code | 0 | github-code | 6 |
30039234138 | from django.views.decorators.http import require_http_methods
from django.http import JsonResponse
from django.http import HttpResponse
from .service.login import Login
from .service.report import uploadData
from .service.getdata import getRoadMap
import json
# Create your views here.
@require_http_methods(["GET",... | luzy99/road_smoothness_detection | road_detect_server/my_server/wx/views.py | views.py | py | 1,542 | python | en | code | 0 | github-code | 6 |
70102817469 | from RedditClient import RedditClient
class RedditGold(RedditClient):
def __init__(self):
super().__init__()
self.full_name = None
self.months = None
self.username = None
def generate_body(self):
body = {}
if self.full_name != None:
body['fullname'... | cthacker-udel/Python-Reddit-API | RedditGold.py | RedditGold.py | py | 625 | python | en | code | 1 | github-code | 6 |
14279541024 | from collections import defaultdict
from intcode.intcode import read_program, VM
import matplotlib.pyplot as plt
DIRECTION_LEFT = (-1, 0)
DIRECTION_RIGHT = (1, 0)
DIRECTION_UP = (0, -1)
DIRECTION_DOWN = (0, 1)
TURN_LEFT = 0
TURN_RIGHT = 1
COLOR_BLACK = 0
COLOR_WHITE = 1
next_direction_left = {
DIRECTION_UP: DI... | bwdvolde/advent-of-code-2019 | day11/solution.py | solution.py | py | 2,178 | python | en | code | 0 | github-code | 6 |
36942823350 | import turtle
window = turtle.Screen()
window.bgcolor("black")
shapeA = turtle.Turtle()
shapeB = turtle.Turtle()
shapeC = turtle.Turtle()
shapeD = turtle.Turtle()
shapeA.sety(100)
shapeA.pencolor("red")
for i in range(3):
shapeA.pensize(3)
shapeA.fd(50)
shapeA.left(120)
shapeB.setx(-100)
shapeB.pencolor(... | Sir-Lance/CS1400 | shit.py | shit.py | py | 590 | python | en | code | 0 | github-code | 6 |
26969763906 | import os
from utils.util import make_dir_under_root, read_dirnames_under_root
OUTPUT_ROOT_DIR_NAMES = [
'masked_frames',
'result_frames',
'optical_flows'
]
class RootInputDirectories:
def __init__(
self,
root_videos_dir,
root_masks_dir,
video_names_filename=None
... | amjltc295/Free-Form-Video-Inpainting | src/utils/directory_IO.py | directory_IO.py | py | 2,029 | python | en | code | 323 | github-code | 6 |
70779220668 | import math
import os
import re
from ast import literal_eval
from dataclasses import dataclass
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
from accelerate.logging import get_logger
from accelerate.utils import is_tpu_available
from sklearn.metrics import accuracy_score, average_precision_... | starmpcc/REMed | src/utils/trainer_utils.py | trainer_utils.py | py | 11,900 | python | en | code | 8 | github-code | 6 |
3337680824 | def multiply(num1: str, num2: str) -> str:
print(int(num1)*int(num2))
if num1 == '0' or num2 == '0':
return '0'
jin_nums = 0
nums_list = [] # 存放所有想加的结果
# nn1=list(num1)
# nn1.reverse()
# nn2=list(num2)
# nn2.reverse()
for i in range(len(num1)-1,0,-1):
print('-------'... | zml1996/learn_record | leet_code/字符串相乘.py | 字符串相乘.py | py | 1,594 | python | en | code | 2 | github-code | 6 |
29272947400 | import pymongo
import json
from pymongo import MongoClient
from bson import json_util
def StatImages():
client = MongoClient('mongodb://0.0.0.0:27017/')
db = client['diplom_mongo_1']
posts = db.posts
data = posts.find({"type": "image"})
count = 0
weight = 0
copies = 0
copiesId = {}
copiesIdList = []
imgForma... | dethdiez/viditory_analyzer | api/stat.py | stat.py | py | 964 | python | en | code | 0 | github-code | 6 |
39763237198 | s1=input()
s2=input()
s1=s1.lower()
s2=s2.lower()
b=[]
for i in s1:
if i in s2:
if i==' ':
continue
if ord(i) not in b:
b.append(ord(i))
print(len(b)) | gokinahemalatha/codemind-python | common_characters_-II.py | common_characters_-II.py | py | 193 | python | en | code | 0 | github-code | 6 |
5435410186 | import turtle
import time
import random
abstand = time.sleep(0.1)
fenster = turtle.Screen()
fenster.title("Israa @snake spiel")
fenster.setup(width=500, height=500)
fenster.bgcolor("black")
Kopf = turtle.Turtle()
Kopf.color("red")
Kopf.penup()
Kopf.goto(0,0)
Kopf.shape("square")
Kopf.direction="stop"... | Israti/MeineProjekte | Snack.py | Snack.py | py | 1,816 | python | de | code | 0 | github-code | 6 |
42432941077 | import pandas as pd
import numpy as np
import math
class Node:
def __init__(self, fkey=None, fval=None, output=None, children=None):
self.fkey = fkey # 特征名
self.fval = fval # 特征值
self.output = output # 当前节点的输出值
self.children = {} if children is None else children # 子节点
c... | mygithub-gyq/gyq2023.github.io | 聚类算法/ID3.py | ID3.py | py | 4,300 | python | en | code | 0 | github-code | 6 |
34892249806 | import IsPrime
def str_to_int(l):
k = []
for i in l:
i = int(i)
k.append(i)
return k
def IsPrimeUserList():
user_input = input("Enter a list of numbers: ")
l = user_input.split(" ")
l = str_to_int(l)
k = []
for i in l:
if IsPrime.IsPrime(i):
k.append... | ekloberdanz/python | isPrimeUserList.py | isPrimeUserList.py | py | 395 | python | en | code | 0 | github-code | 6 |
12015658480 | import numpy as np
import collections # it is optional to use collections
from operator import itemgetter, attrgetter
# prediction function is to predict label of one sample using k-NN
def predict(X_train, y_train, one_sample, k, lambda_value = 1):
one_sample = np.array(one_sample)
X_train = np.array(X_train)... | arkincognito/EEE3314-02Assignments | P04_2.py | P04_2.py | py | 3,080 | python | en | code | 0 | github-code | 6 |
72612614909 | """trt_face_detection.py
This script demonstrates how to do real-time face detection with
TensorRT optimized retinaface engine.
"""
import os
import cv2
import time
import argparse
import pycuda.autoinit # This is needed for initializing CUDA driver
from utils.camera import add_camera_args, Camera
from utils.displa... | d246810g2000/tensorrt | face_recognition/trt_face_detection.py | trt_face_detection.py | py | 3,588 | python | en | code | 35 | github-code | 6 |
24670591384 | from AcceptNumbers import *
def main():
num = int(input("Enter number of elements: "))
if(num <= 0):
print("Enter positive number")
return
numList = acceptNNumbers(num)
print("Maximum of given numbers is:", max(numList))
if(__name__ == "__main__"):
main()
| SnehalKaranje/python | list/MaxFromList.py | MaxFromList.py | py | 297 | python | en | code | 0 | github-code | 6 |
7239186990 | import cv2 as cv
import numpy as np
import imutils
path = "/home/pks/Downloads/Assignment/IVP/mini project/"
def orientation(image):
'''
Rotate the image before any operation
based on the pos. of roll no. box w.r.t number table
'''
row, col = image.shape[:2]
thresh = cv.Canny(image, 40, 90)
... | pritamksahoo/III-IV-YEAR-Assignments | IVP/extract_ROI.py | extract_ROI.py | py | 8,042 | python | en | code | 2 | github-code | 6 |
21071664643 | from dataclasses import dataclass
from typing import Union
import numpy as np
from matplotlib import pyplot as plt
@dataclass
class SpeakerSegment:
start: int = 0
end: Union[int, None] = None
@dataclass
class SplitStuff4Tw:
threshold_value: float
split_index: int
class CustomSegmentationStrategy:... | centre-for-humanities-computing/Gjallarhorn | data_processing/custom_segmentation.py | custom_segmentation.py | py | 5,069 | python | en | code | 1 | github-code | 6 |
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