seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | 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
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
26694182467 | from collections import deque
# Challenge 1
def balanced_symbols(input_string: str="")->bool:
"""
Checks whether an input string is properly balanced with respect to '(' and ')',
'[' and ']' and '{' and '}'. The function ignores the symbols within comments, a comment starts
with a '/*' and end... | alvarodiez20/challenge_adiez | cats_and_cheese.py | cats_and_cheese.py | py | 10,495 | python | en | code | 0 | github-code | 90 |
38533972677 | import pygame
import random
pygame.init()
clock = pygame.time.Clock()
WIN_WIDTH = 280
WIN_HEIGHT = 500
FPS = 1
BLACK = (0,0,0)
GROUND_HEIGHT = 400
GROUND_SPEED = 2
SWING = 20
background_image = pygame.image.load("background.png")
ground_image = pygame.image.load("ground.png")
pipe_image = pygame.image.load("pip... | Poppynator/Flappy-Bird | game.py | game.py | py | 4,435 | python | en | code | 0 | github-code | 90 |
39603083509 | # Input: deadends = ["0201","0101","0102","1212","2002"], target = "0202"
# Output: 6
# Explanation:
# A sequence of valid moves would be "0000" -> "1000" -> "1100" -> "1200" -> "1201" -> "1202" -> "0202".
# Note that a sequence like "0000" -> "0001" -> "0002" -> "0102" -> "0202" would be invalid,
# because the wheels ... | konstantinosBlatsoukasRepo/leet-code-problems | bfs/open_the_lock.py | open_the_lock.py | py | 2,271 | python | en | code | 0 | github-code | 90 |
13334870434 | from rest_framework.serializers import\
ModelSerializer, SerializerMethodField
from recommendations.models import *
class RCSerializer(ModelSerializer):
class Meta:
fields = (
'id',
'title',
'description',
'image',
)
model = Recommendatio... | madjar-code/Career-Routes | backend/apps/recommendations/api/serializers.py | serializers.py | py | 1,724 | python | en | code | 0 | github-code | 90 |
20532253195 | # Devin Hurley
#
import math, pylab, random
def fnc(x,mu):
y = mu*x*(1-x)
return y
random.seed()
N = 500.0
mu = [0.0]*500*20
ex = [0.0]*500*20
delMu = 0.01 ## move very slowly
for i in range(500):
m = i*delMu
for j in range(20):
x = random.random()
for k in range(300):
x =... | dhurley14/CSIS310 | logMap2.py | logMap2.py | py | 625 | python | en | code | 0 | github-code | 90 |
24657271425 | ''''Given an integer array nums, rotate the array to the right by k steps, where k is non-negative.
Example 1:
Input: nums = [1,2,3,4,5,6,7], k = 3
Output: [5,6,7,1,2,3,4]
Explanation:
rotate 1 steps to the right: [7,1,2,3,4,5,6]
rotate 2 steps to the right: [6,7,1,2,3,4,5]
rotate 3 steps to the right: [5,6,7,1,2,... | abz1997/algorithms | rotate_array.py | rotate_array.py | py | 1,384 | python | en | code | 0 | github-code | 90 |
12874205246 | # -*- coding: utf-8 -*-
""" Group filters """
from django import template
from django.core.urlresolvers import reverse
from django.core.context_processors import request
from django.db.models import Count
from gorod.models import ArticleRubric
register = template.Library()
@register.inclusion_tag('gorod/templat... | karbachinsky/gorod_io | gorod/templatetags/group_filters.py | group_filters.py | py | 1,094 | python | en | code | 1 | github-code | 90 |
30593423473 | #!/usr/bin/env python
from __future__ import unicode_literals
import codecs
import numpy as np
def pad(sequences, pad_token='<pad>', pad_left=False):
"""
input sequences is a list of text sequence [[str]]
pad each text sequence to the length of the longest
:param sequences:
:param pad_token:
:param pad_l... | xalanq/chinese-sentiment-classification | elmoformanylangs/dataloader.py | dataloader.py | py | 1,233 | python | en | code | 131 | github-code | 90 |
26327061955 | import sys
import io
sys.setrecursionlimit(10**8)
_INPUT = """\
200000 314 318
"""
sys.stdin = io.StringIO(_INPUT)
readline = sys.stdin.readline
N, M, P = map(int, input().split())
print(int((N-M) / P + 1))
| Amano-take/Atcoder | 300/10/318/A.py | A.py | py | 207 | python | en | code | 0 | github-code | 90 |
5173612111 | import random as rnd
suits = ('Hearts', 'Diamonds', 'Spades', 'Clubs')
numbers = ('2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'Q', 'K', 'A')
values = {'2':2, '3':3, '4':4, '5':5, '6':6, '7':7, '8':8, '9':9, '10':10, 'J':10,
'Q':10, 'K':10, 'A':11}
playing = True
# Creating Cards #
class Card:
... | ba1019/resume-projects | Blackjack.py | Blackjack.py | py | 6,011 | python | en | code | 0 | github-code | 90 |
41154446861 | from rest_framework import serializers
from faces.models import Event, EventNotification
class EventSerializer(serializers.ModelSerializer):
"""Event serializer to read."""
class Meta:
model = Event
fields = (
'id',
'img',
'confidence',
'meta',... | vitasoftua/findface | src/faces/ws_serializers.py | ws_serializers.py | py | 714 | python | en | code | 0 | github-code | 90 |
35729198528 | #1. Дано целое число N(>0). Найти значение выражения
# 1.1-1.2+1.3-...(N слагаемых, знаки чередуются).
# Условный оператор не использовать.
# term_p_sum = 0
# term_p = 1.1
# term_o_sum = 0
# term_o = -1.2
# N_num=int(input("Введите число больше 0: "))
# for i in range(0, N_num // 2):
# term_p_sum += term_p
# te... | Xqyat/PZ.py | Pz_4/Pz_4.py | Pz_4.py | py | 1,002 | python | ru | code | 0 | github-code | 90 |
9662442092 | import sys, json, os
from threading import Thread
from threading import Semaphore
import queue
writeLock = Semaphore(value=1)
in_queue = queue.Queue()
tree = json.loads(open(sys.argv[1]).read())
mapping = {}
for otu in tree:
for member in tree[otu]["member"]:
shortname = tree[otu]["m... | dgg32/acido_tree | hpc_map_to_backbone.py | hpc_map_to_backbone.py | py | 2,114 | python | en | code | 0 | github-code | 90 |
43508713497 | import mmcv
import numpy as np
from os import path as osp
import cv2
from mmdet.core.visualization import imshow_gt_det_bboxes
def show_result_mtv2d(data_root,
out_dir,
result,
eval_thresh,
show=True,
show_gt=True,
show... | solapark/ddet | projects/mmdet3d_plugin/core/visualization/show_result_mtv2d.py | show_result_mtv2d.py | py | 5,670 | python | en | code | 0 | github-code | 90 |
70040773738 | import uuid
import datetime
from flask import json, jsonify, request
from app.main import db
from app.main.model import SmeUser
def save_new_sme_user(data):
sme_user = SmeUser.query.filter_by(email=data['email']).first()
if not sme_user:
new_sme_user = SmeUser(
role_id=2,
email... | bmaritim/float-transfer-python | app/main/service/sme_user_service.py | sme_user_service.py | py | 3,231 | python | en | code | 0 | github-code | 90 |
21793053582 | import copy
# f = open('./input.txt')
# arr = [[int(x) for x in row.split()] for row in f.readlines()]
arr = []
try:
while True:
e = [int(x) for x in input().split()]
arr.append(e)
except EOFError:
pass
w = 0
h = 0
index = copy.deepcopy(arr)
for i in range(len(arr)):
for j in range(len(... | kaiwk/playground | online_judge/nju/week-1/2_max_child_matrix.py | 2_max_child_matrix.py | py | 807 | python | en | code | 3 | github-code | 90 |
70803535338 | import warnings
from unicodedata import category
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
from time import sleep
import datetime
import pandas as pd
import numpy as np
import requests
import axios
import json... | Arc1el/2023AWSCloudBootcamp | Crawler/crawler.py | crawler.py | py | 8,473 | python | en | code | 0 | github-code | 90 |
20260528381 | # Good vs Evil
# https://www.codewars.com/kata/52761ee4cffbc69732000738
from unittest import TestCase
good_values = [1, 2, 3, 3, 4, 10]
evil_values = [1, 2, 2, 2, 3, 5, 10]
def evaluating(counts, target_values):
return sum([target_values[v[0]] * int(v[1]) for v in enumerate(counts.split(" "))])
def goodVsEvil... | polyglotm/coding-dojo | coding-challange/codewars/6kyu/2020-04-15~2020-06-01/good-vs-evil/good-vs-evil.py | good-vs-evil.py | py | 1,137 | python | en | code | 2 | github-code | 90 |
41330652624 | import logging
import sys
from logging.handlers import TimedRotatingFileHandler
import os
FORMATTER = logging.Formatter("%(asctime)s - %(name)-20s - %(lineno)d - %(levelname)-8s - %(message)s")
def get_logger(logger_name, log_file_path):
def configure_handlers():
console_handler = logging.StreamHandler(s... | VLU19/sync-folders | logger.py | logger.py | py | 947 | python | en | code | 0 | github-code | 90 |
22126261186 | # You want to create secret messages which can be deciphered by the Decipher this! kata. Here are the conditions:
# Your message is a string containing space separated words.
# You need to encrypt each word in the message using the following rules:
# The first letter needs to be converted to its ASCII code.
# The seco... | cloudkevin/codewars | encryptThis.py | encryptThis.py | py | 1,139 | python | en | code | 1 | github-code | 90 |
17569479276 | #!/usr/bin/python3
"""Script that takes our Github credentials"""
import requests
from sys import argv
from requests.auth import HTTPBasicAuth
if __name__ == '__main__':
response = requests.get('https://api.github.com/user',
auth=HTTPBasicAuth(argv[1], argv[2]))
if response.status... | Miguel22247/holbertonschool-higher_level_programming | 0x11-python-network_1/10-my_github.py | 10-my_github.py | py | 433 | python | en | code | 2 | github-code | 90 |
12132504922 | from Cart import Cart
from ProductInventoryImpl import ProductInventoryImpl
from Product import Product
class CartImpl(Cart):
_userCart = {}
def getAllCartItems(self, userId):
if userId in self._userCart.keys():
return self._userCart[userId]
else:
raise Exception("User... | Vishesh-Mukherjee/Gdzone-V2 | src/main/CartImpl.py | CartImpl.py | py | 1,276 | python | en | code | 0 | github-code | 90 |
43718328981 | # dict = {'Emp': {'GK': {'ID': '001', 'Salary': '2000', 'Designation': 'ASE'},
# 'KK': {'ID': '002', 'Salary': '2500', 'Designation': 'Tech-Lead'},
# 'AK': {'ID': '003', 'Salary': '3000', 'Designation': 'Senior Tech-Lead'},
# 'OK': {'ID': '004', 'Salary': '4000', 'Desi... | KrishnakanthSrikanth/Python_Simple_Projects | Test.py | Test.py | py | 1,990 | python | en | code | 0 | github-code | 90 |
34675700376 | import pandas as pd
import numpy as np
from tqdm import tqdm
import xmltodict, json
from itertools import product
from collections import defaultdict
from utils.utils import timer
import pickle
import pandas as pd
from deuces.evaluator import *
from deuces.deck import *
from collections import defaultdict, OrderedDict... | snowii/nash_srv | ml/a2_board/b0_common.py | b0_common.py | py | 12,479 | python | en | code | 0 | github-code | 90 |
18386542569 | from collections import Counter
n=int(input())
if n==1:
print(1)
exit()
xy=[tuple(map(int,input().split())) for _ in range(n)]
# print(xy)
xy.sort()
# print(xy)
l=[]
for i in range(n-1):
for j in range(i+1,n):
l.append((xy[j][0]-xy[i][0],xy[j][1]-xy[i][1]))
#most_common(): (要素、出現回数)という形のタプルを出現回数順に並べたリストを返す
... | Aasthaengg/IBMdataset | Python_codes/p03006/s396296767.py | s396296767.py | py | 423 | python | en | code | 0 | github-code | 90 |
21746855518 | import requests
import json
from tqdm import tqdm
TMDB_API_KEY = '9186d5ace54e142f44d4f7e7a96d0043'
with open("../api/fixtures/actor.json", "r", encoding="UTF-8") as f:
actors = json.load(f)
with open("../api/fixtures/director.json", "r", encoding="UTF-8") as f:
directors = json.load(f)
with open("../api/fix... | vinitus/WhatToWatch | final-pjt-back/request_data/1.py | 1.py | py | 2,638 | python | en | code | 0 | github-code | 90 |
25892960589 | # lista de restaurantes
def busca_restaurantes(lista, categoria, valor):
i = 0
resultado = []
while i < len(lista):
n = lista[i][0]
c = lista[i][1]
a = lista[i][2]
gm = lista[i][3]
if categoria == 'culinaria':
if c == valor:
resultado.appe... | kikepuppi/2023.1-Dessoft | Aula 6/listarestaurantes.py | listarestaurantes.py | py | 921 | python | pt | code | 0 | github-code | 90 |
11196858365 | import typer
import os
import time
from githubclass import Github
from typing import Optional
def main(name: str, gith: Optional[str] ) -> str:
typer.secho('Creating Your Project! 📦', fg=typer.colors.BRIGHT_MAGENTA, bold=True)
cuf = os.getcwd()
os.mkdir(name)
pro_file = cuf + f'/{name}'
time.sleep(1)
os... | pratushrai0309/cpro | cpro/main.py | main.py | py | 1,571 | python | en | code | 1 | github-code | 90 |
73052606376 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 28 15:11:37 2020
@author: jain
"""
import numpy as np
import matplotlib.pyplot as plt
import time
## Import extra files
import Cal_moments_samples as MOM
import transform_domain as td
import Initial_lam as Initlam
import GLeg_pts as GL
import pdf_M... | axj307/Moment-Calculation | Airplane2D/Airplane2D.py | Airplane2D.py | py | 12,540 | python | en | code | 0 | github-code | 90 |
72810199977 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from flask import Flask, request, Response
import json
import traceback
from toy.module_a.logic import cut
from toy.utils.exception import *
from toy.utils.logger import LoggerFactory
from toy.utils.timer import Timer
app = Flask(__name__) # create a Flask instan... | simoncos/practical-python | rest-api-deploy/toy_project_v2/toy/toy/__init__.py | __init__.py | py | 2,673 | python | en | code | 7 | github-code | 90 |
42227143700 | from edge import DummyEdgeEnd
from simulation_event import AbstractSimulationEvent
from stats import TripStats
class AbstractAntMove(AbstractSimulationEvent):
def __init__(self, ant, origin, destination, end_time, pheromone_to_drop, trip_stats):
self.ant = ant
self.origin = origin
self.dest... | ppolewicz/ant-colony | antcolony/ant_move.py | ant_move.py | py | 3,648 | python | en | code | 0 | github-code | 90 |
35176446416 | from letters import Letter
from letter_box import LetterBox
from postoffice import PostOffice
class Person:
def __init__(self, addressee=None, letter=None):
self._letter = letter
self._addressee = addressee
def deliver_letter(self, location=False, post_office=None, letter_box=None):
... | SamW2121/C-App-Prog-Python-AT2 | C-App-Prog-Python-AT2/person.py | person.py | py | 1,064 | python | en | code | 0 | github-code | 90 |
18028016679 | import sys
read = sys.stdin.read
readline = sys.stdin.readline
readlines = sys.stdin.readlines
sys.setrecursionlimit(10 ** 9)
INF = 1 << 60
MOD = 1000000007
def main():
N = int(readline())
S = readline().strip()
x = ans = 0
for s in S:
if s == 'I':
x += 1
if x > ans:
... | Aasthaengg/IBMdataset | Python_codes/p03827/s259561193.py | s259561193.py | py | 444 | python | en | code | 0 | github-code | 90 |
28857865135 | # The mono-alphabetic substitution cipher (to encrypt and decrpt text)
#Predefine values
PDC = "XEUADNBKVMROCQFSYHWGLZIJPT"
PDP = "abcdefghijklmnopqrstuvwxyz"
def Decryption(a):
for i in range(len(PDC)):
if a[0]==PDC[i]:
print(PDP[i], end="")
break
def Encription(a):
for ... | vinodkumavat/Cryptography | Mono-alphabetic-substitution-cipher/Main.py | Main.py | py | 516 | python | en | code | 0 | github-code | 90 |
35281076807 | import numpy as np
import torch
class Normalize(object):
def __call__(self, sample):
label, wavname, mfcc = sample['label'], sample['wavname'], sample['mfcc']
mean = np.mean(mfcc[0])
std = np.std(mfcc[0])
if std>0:
mfcc[0] = (mfcc[0]-mean)/std
mean = np.mean(mfcc[1])
std = np.std(m... | zili98/ELEC576-Deep-Learning-Final-Project | src/utils/transforms.py | transforms.py | py | 1,377 | python | en | code | 0 | github-code | 90 |
18275268029 | from sys import stdin
from functools import lru_cache
N = int(stdin.readline().rstrip())
K = int(stdin.readline().rstrip())
@lru_cache(None)
def f(N, K):
#大きい桁から小さい桁へ
if K < 0:
return 0
if N < 10:
if K == 0:
# 0のみ
return 1
elif K == 1:
# 例えばN=4 なら... | Aasthaengg/IBMdataset | Python_codes/p02781/s515810955.py | s515810955.py | py | 703 | python | ja | code | 0 | github-code | 90 |
18200230479 | a, v = [int(i) for i in input().split()]
b, w = [int(i) for i in input().split()]
t = int(input())
if w >= v:
print("NO")
exit()
#print((b-a) / (v-w))
if b > a:
if a + v*t >= b + w*t:
print("YES")
else:
print("NO")
else :
if a - v*t <= b - w*t:
print("YES")
else:
print("NO")
| Aasthaengg/IBMdataset | Python_codes/p02646/s549465814.py | s549465814.py | py | 308 | python | en | code | 0 | github-code | 90 |
14412535470 | from typing import TYPE_CHECKING, Any, Dict, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.code_name_pair import CodeNamePair
from ..models.post_order_line_free_values import PostOrderLineFreeValues
from ..models.post_order_line_prices import PostOrderL... | Undefined-Stories-AB/ongoing_wms_rest_api_client | ongoing_wms_rest_api_client/models/post_order_line.py | post_order_line.py | py | 7,972 | python | en | code | 1 | github-code | 90 |
73879761898 | import csv
import random
CostMed = []
DistMed = []
RateMed = []
RecMed = []
def fitness(cost,distance,rating):
return 0.2*float(cost)+0.4*distance+0.4*float(rating)
with open(r"assets/Hospital_Data.csv","r") as file:
readdata=csv.reader(file)
data = list(readdata)
data.pop(0)
costdata = sorted(da... | AdvaySanketi/MedIQal | assets/datatime.py | datatime.py | py | 1,685 | python | en | code | 0 | github-code | 90 |
5865595937 | import dataclasses
import uuid
import typing
import io
import struct
import cbor2
import json
import base64
import binascii
import hashlib
import certvalidator
import datetime
import cryptography.hazmat.primitives.asymmetric.rsa
import cryptography.hazmat.primitives.asymmetric.padding
import cryptography.hazmat.primiti... | AS207960/python-webauthn | src/webauthn/attestation.py | attestation.py | py | 19,606 | python | en | code | 4 | github-code | 90 |
3492060911 | import pandas as pd
import numpy as np
df1 = pd.read_csv("rvtoolcom.csv")
df2 = pd.read_csv("limpa_usa.csv")
df3 = pd.read_csv("limpa_canada.csv")
result = df1.append(df2).append(df3)
#df = df.drop_duplicates(subset='favorite_color', keep="first")
result = result.drop_duplicates(subset='address', keep="first")
res... | polltter/RV | Proxy+Tool/junta.py | junta.py | py | 362 | python | en | code | 0 | github-code | 90 |
19514626195 | from psycopg2 import sql
import bcrypt
def query_select_fields_from_table(table: str, columns: list = None) -> sql.Composed:
"""Returns an executable SQL SELECT statement. At execution, it fetches the data
from the selected column(s) from a table.
Parameters:
table (str): Table name
colum... | CodecoolGlobal/ask-mate-3-python-mllorand | util.py | util.py | py | 7,013 | python | en | code | 0 | github-code | 90 |
32619910768 | # Eliza Knapp, Rachel Xiao, Thomas Yu
# SoftDev
# K05 -- Print A SoftDev Student's Name (Amalgamated)
# 2021-09-27
'''
Summary:
- How to approach the list of names
- Read in names from a text file instead of having list created with names
- Allows the lists to be changed easily
- One text file per period
... | thomasyu21/Workshop | 05_py/printNameAmalgamate.py | printNameAmalgamate.py | py | 2,940 | python | en | code | 0 | github-code | 90 |
72273825896 | import json
from channels.generic.websocket import AsyncWebsocketConsumer
from asgiref.sync import sync_to_async
from django.contrib.auth.models import Permission
from chatapp.models import Room,Message,User
from ventes.models import Comment, Vente
class ChatConsumer(AsyncWebsocketConsumer):
async def connect(se... | vanelleNgadjui/CaPotage | core/consumers.py | consumers.py | py | 3,511 | python | en | code | 0 | github-code | 90 |
23557134053 | # 练习代码
# coding=utf-8
import requests
from bs4 import BeautifulSoup
import pickle
#
# url = 'http://www.mzitu.com/26685'
# header = {
# 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 '
# '(KHTML, like Gecko) Chrome/50.0.2661.102 UBrowser/6.1.2107.204 Safari/537.36',
# ... | programday/crawler | 练习小例子/爬取妹子网.py | 爬取妹子网.py | py | 6,800 | python | zh | code | 6 | github-code | 90 |
30790482268 | # -*- coding: utf-8 -*-
# 因为是学习 python, 所以用了很多 print() 来观察
import os, shutil, glob
source_dir = "images/"
# 透过 os 模组来取得 / 目录相关状态
disk = os.statvfs("/")
print(disk)
# 目前可用空间计算
freespace = disk.f_bsize * disk.f_blocks
print(freespace)
# 透过 glob 模组来取得目前档案, 以 list 型态存放
pngfiles = glob.glob(source_dir+"*.png")
jpgfiles = ... | LukaHuang/LearnPython | books/Python程式設計實務_博碩/chapter5/5-2.py | 5-2.py | py | 1,961 | python | zh | code | null | github-code | 90 |
39750084101 | import calendar
from io import StringIO
import boto3
import discord
from discord.ext import commands, tasks
import numpy as np
import pandas as pd
import datetime
import re
import asyncio
import os
target_guild_id = 730215239760740353
target_channel_id = 806691390372708362
main_embed = None
access_key_id = os.envir... | chanelton/dssdiscordbot | cogs/checkingPoints.py | checkingPoints.py | py | 5,977 | python | en | code | 1 | github-code | 90 |
21484335652 | #Project Euler Number 25
#What is the first term in the Fibonacci sequence to contain 1000 digits?#
#David Etler
#22 NOV 2011
f1=1
f2=1
c=2
d=0
while d == 0:
i=f1+f2
f1=f2
f2=i
if len(str(i)) == 1000:
d=1
c+=1
print [c, len(str(i))]
| davidretler/Project-Euler-Solutions | python/p25.py | p25.py | py | 259 | python | en | code | 0 | github-code | 90 |
28066292217 | import pytest
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
driver = None
# from selenium.webdriver.firefox.service import Service
# Parsing switches to the python cmd line
def pytest_addoption(parser):
parser.addoption(... | dechan84/PythonSeleniumFrontEnd | test/conftest.py | conftest.py | py | 2,907 | python | en | code | 1 | github-code | 90 |
2366610636 |
from django.urls import path , include
from django.contrib import admin
from .views import saludo, resgistroPaciente, resgistroMedico, modificar, modificar2,modificarMedico,modificarMedico2,elimindarcli,registroContacto
from .views import saludo2, gestion, servicios, nosotros
from django.conf import settings
fro... | aj130142/pagina-web | web/usuarios/urls.py | urls.py | py | 1,162 | python | es | code | 0 | github-code | 90 |
34871900749 | from typing import List
from collections import Counter
num_friends = [100.0, 49, 41, 40, 25, 21, 21, 19, 19, 18, 18, 16, 15, 15, 15, 15, 14, 14, 13, 13, 13, 13, 12, 12, 11,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 8, 8, 8, 8, 8, 8, ... | ilirsheraj/DataScienceScratch | chapter_05_Statistics/central_tendency.py | central_tendency.py | py | 2,344 | python | en | code | 0 | github-code | 90 |
18285608389 | #pdf見た
n = int(input())
xl = [list(map(int,input().split())) for i in range(n)]
sf = []
choice = -1e+9
for x,l in xl:
sf.append([x-l,x+l])
sf.sort(key=lambda x:x[1])
cnt = 0
for s,f in sf:
if choice <= s:
cnt += 1
choice = f
print(cnt) | Aasthaengg/IBMdataset | Python_codes/p02796/s341082845.py | s341082845.py | py | 272 | python | en | code | 0 | github-code | 90 |
18487936739 | import math
import sys
MOD = 1000000007
n, m = map(int, input().split())
if n == 1:
print(m)
sys.exit()
ans = 1
for i in range(1, int(math.sqrt(m))+1):
if m % i == 0:
j = m / i
if i <= m/n:
ans = max(ans, i)
if j <= m/n:
ans = max(ans, j)
print(int(ans))
| Aasthaengg/IBMdataset | Python_codes/p03241/s037429924.py | s037429924.py | py | 319 | python | en | code | 0 | github-code | 90 |
16314392443 | import argparse
from pathlib import Path
import mrcfile
from skimage import exposure
import skimage
import skimage.io
import tifffile
parser = argparse.ArgumentParser(description="Convert MRC files")
parser.add_argument("--raw", default="raw", help="The input location of the raw MRC files")
parser.add_argument("--ti... | milliams/thin_filament_data | convert_tiff.py | convert_tiff.py | py | 1,049 | python | en | code | 0 | github-code | 90 |
43622968401 | import nltk
import string
import pandas as pd
import seaborn as sns
from sklearn import svm
from nltk import tokenize
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from nltk.corpus import stopwords
from sklearn.pipeline import Pipeline
from sklearn.naive_bayes import MultinomialNB
from sklearn.tree im... | Fake-News-Detection-2B5/ai-1 | Week 1 Run/main.py | main.py | py | 5,982 | python | en | code | 0 | github-code | 90 |
26079305035 | import numpy as np
import matplotlib.pyplot as plt
import logging
import sys
import src.config as config
def get_console_handler():
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setFormatter(config.LOG_FORMATTER)
return console_handler
def get_file_handler(file_path):
file_handl... | isaadbashir/coarse_segmentation | src/utils.py | utils.py | py | 4,726 | python | en | code | 0 | github-code | 90 |
18410074689 | import sys
#input = sys.stdin.buffer.readline
def main():
N = int(input())
AB = [0,0,0]
ans = 0
for _ in range(N):
s = input()
l = len(s)
if s[0] == "B" and s[-1] == "A":
AB[2] += 1
else:
if s[0] == "B":
AB[1] += 1
if s... | Aasthaengg/IBMdataset | Python_codes/p03049/s482614109.py | s482614109.py | py | 624 | python | en | code | 0 | github-code | 90 |
42970484847 | # BH1750 Documentation: https://www.mouser.com/datasheet/2/348/bh1750fvi-e-186247.pdf
# SG90 Documentation : http://www.ee.ic.ac.uk/pcheung/teaching/DE1_EE/stores/sg90_datasheet.pdf
from machine import I2C, Pin, PWM
import time
class BH1750NotFoundError(Exception): pass
class BH1750(): # light intensity sensor
... | Math3mat1x/sloth-curtains | sensors.py | sensors.py | py | 4,145 | python | en | code | 1 | github-code | 90 |
23338482714 | import requests
from bs4 import BeautifulSoup
class GoNaver():
def sijak(self):
url = "https://datalab.naver.com/keyword/realtimeList.naver?ahe=all"
page = requests.get(url, headers={
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko'})
# 서비스에 ... | SolDDAENG/py_pandas | pack2/bs09.py | bs09.py | py | 796 | python | ko | code | 0 | github-code | 90 |
40707845070 | class InputCheck:
@classmethod
def check_location_coordinate(cls, request) -> str:
"""
取得 request 驗證參數並回傳
:params request (flask.request): request instance
"""
request_body = request.get_json()
location = request_body.get('location')
lat, long = map(lambd... | Real-time-On-street-Parking-System/Backend | src/InputCheck.py | InputCheck.py | py | 565 | python | en | code | 0 | github-code | 90 |
18566355619 | from collections import deque
Y, X = map(int, input().split())
Map = list(input() for _ in range(Y))
def bfs(sy, sx, gy, gx):
seen = list([-1]*X for _ in range(Y))
queue = deque()
queue.append((sy, sx))
seen[sy][sx] = 0
while queue:
y, x = queue.popleft()
search_around(y, x, seen, ... | Aasthaengg/IBMdataset | Python_codes/p03436/s232465155.py | s232465155.py | py | 876 | python | en | code | 0 | github-code | 90 |
5543987452 | # 복습 횟수:0, 00:10:00, 복습필요X
import sys
si = sys.stdin.readline
N = int(si())
myset = set()
li = list(map(int, si().split()))
for elem in li:
myset.add(elem)
print(len(myset)) | SteadyKim/Algorism | language_PYTHON/codetree/lv5_hashset_서로_다른_숫자.py | lv5_hashset_서로_다른_숫자.py | py | 196 | python | en | code | 0 | github-code | 90 |
18428506569 | # D - We Like AGC
from collections import defaultdict
MOD = 10**9+7
N = int(input())
charactors = ['A', 'G', 'C', 'T']
# dp[l][s] := 長さがlで、末尾3文字がsである文字列の個数
dp = [defaultdict(int) for _ in range(N+1)]
# 無関係の文字で初期化しておく
dp[0]['ZZZ'] = 1
# NGケース: AGC, ACG, GAC, A?GC, AG?C
def check(s, c):
if c=='C':
if s[1... | Aasthaengg/IBMdataset | Python_codes/p03088/s394609379.py | s394609379.py | py | 965 | python | ja | code | 0 | github-code | 90 |
73844657576 | import matplotlib.pyplot as plt
def plotData(x, y):
"""Plots the data points x and y into a new figure """
training_data_plot = plt.plot(x, y, linestyle='None', color='red', marker='x', markersize=10, label="Training data")
plt.xlabel('Profit in $10,000')
plt.ylabel('Population of city in 10,000s')... | hzitoun/machine_learning_from_scratch_matlab_python | algorithms_in_python/week_2/ex1/plotData.py | plotData.py | py | 382 | python | en | code | 30 | github-code | 90 |
28846335793 | import json
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
# from matplotlib.font_manager import _rebuild
#
# _rebuild() #reload一下
mpl.use('agg')
plt.rcParams['font.sans-serif'] = ['SimSun']
plt.rcParams['axes.unicode_minus'] = False # 解决负号'-'显示为方块的问题
train_final_lozz = []
val_final_lo... | NileZhou/NHG | summarunner_weather/little/checkpoints/stat.py | stat.py | py | 1,579 | python | en | code | 1 | github-code | 90 |
72596056937 | #link https://leetcode.com/problems/boats-to-save-people/
class Solution:
def numRescueBoats(self, people, limit):
people.sort()
left = 0
right = len(people)-1
boats_number = 0
while(left<=right):
if(left==right):
boats_number+=1
... | chandanverma07/Python_LeetCodeSolution | BoatstoSavePeople_881.py | BoatstoSavePeople_881.py | py | 498 | python | en | code | 0 | github-code | 90 |
652577689 | from django.shortcuts import redirect, render
from django.http import HttpResponse
from django.views import View
from django.views.generic.detail import DetailView
from django.views.generic.list import ListView
from django.contrib.auth.models import User
from .forms import ContactForm
from .models import Category, Pos... | 27b/django-modern-blog | blog/views.py | views.py | py | 6,604 | python | en | code | 0 | github-code | 90 |
15992961654 | def minimum_score(mt1_score, mt2_score, desired_grade, ec_points = 0, recovery_points = 0):
grade_bins = {'A+':0, 'A':15,'A-':30,'B+':50,'B':75,'B-':95,'C+':105,'C':115,'C-':125,'D+':130,'D':135,'D-':140} # max points that can be lost for each letter grade
assert desired_grade in grade_bins, "Your desired_grad... | shoumikc/cs61a-final-exam-calculator | calculator.py | calculator.py | py | 2,166 | python | en | code | 0 | github-code | 90 |
72910589416 | from yogi import read
from turtle import *
# Dibuixa un cercle.
def cercle(r):
circle(r)
# Dibuixa un quadrat.
def quadrat(c):
i = 1
while i <= 4:
forward(c)
left(90)
i = i + 1
# Dibuixa un rectangle.
def rectangle(a, b):
i = 1
while i <= 2:
forw... | lluc-palou/ap1-jutge | beginning/P33134.py | P33134.py | py | 780 | python | ca | code | 0 | github-code | 90 |
4670558059 | #!/usr/bin/python3
"""a class Student that defines a studen"""
class Student:
"""Public instance attributes"""
def __init__(self, first_name, last_name, age):
self.first_name = first_name
self.last_name = last_name
self.age = age
def to_json(self):
dictionnary = {}
... | Nadely/holbertonschool-higher_level_programming | python-input_output/9-student.py | 9-student.py | py | 426 | python | en | code | 0 | github-code | 90 |
18242224069 | #!/usr/bin python3
# -*- coding: utf-8 -*-
import sys
input = sys.stdin.readline
def make_divisors(n):
divisors = []
for i in range(2, int(n**0.5)+1):
if n % i == 0:
divisors.append(i)
if i != n // i:
divisors.append(n//i)
return divisors
def main():
N=i... | Aasthaengg/IBMdataset | Python_codes/p02722/s530279636.py | s530279636.py | py | 692 | python | en | code | 0 | github-code | 90 |
74091629737 | """
csv_to_catalog is used to parse, validate and import item data from a CSV file
into a json peji catalog.
"""
import os
import csv
import json
import sys
import requests
from datetime import date
from peji import buttons
PUBLISH_DATE_ENV_VAR = 'PUBLISH_DATE'
IMAGE_URL_PREFIX_ENV_VAR = 'IMAGE_URL_PREFIX'
IMAGE_URL... | darkowlzz/peji | peji/csv_to_catalog.py | csv_to_catalog.py | py | 9,633 | python | en | code | 0 | github-code | 90 |
72555450858 | import os
import pathlib
import sys
def prepare_plaidml():
# Linux if installed plaidml with pip3 install --user
if sys.platform.startswith("linux"):
local_user_plaidml = pathlib.Path("~/.local/share/plaidml/").expanduser().absolute()
if local_user_plaidml.exists():
os.environ["RUNF... | invesalius/invesalius3 | invesalius/segmentation/deep_learning/utils.py | utils.py | py | 2,761 | python | en | code | 536 | github-code | 90 |
10485148994 | import csv
# READ
# with open("data/addresses.csv") as csvfile:
# reader = csv.reader(csvfile, skipinitialspace=True)
# for row in reader:
# print(row[1])
# with open("data/biostats.csv") as csvfile:
# reader = csv.DictReader(csvfile, skipinitialspace=True)
# for row in reader:
# # ro... | trouni/batch-719 | lectures/data-sourcing/csv_demo.py | csv_demo.py | py | 781 | python | en | code | 1 | github-code | 90 |
21034024432 | from tkinter import *
expression = ""
def press(num):
global expression
expression = expression + str(num)
equation.set(expression)
def equalpress():
try:
global expression
total = str(eval(expression))
equation.set(total)
expression = ""
except:
equation... | helenamagaldi/projects_python | Calculator/main.py | main.py | py | 528 | python | en | code | 3 | github-code | 90 |
18363674879 | N = int(input())
LP = list(map(int, input().split()))
LPS = []
LPS = sorted(LP)
cnt = 0
for i in range(N):
if LP[i] != LPS[i]:
cnt += 1
if cnt == 3:
print("NO")
exit()
print("YES") | Aasthaengg/IBMdataset | Python_codes/p02958/s082951606.py | s082951606.py | py | 227 | python | en | code | 0 | github-code | 90 |
18302396679 | #!/usr/bin/env python
n = int(input())
if n%2 == 1:
print(0)
exit()
mp = tmp = 0
while True:
if 5**tmp > n:
break
mp = tmp
tmp += 1
ans = 0
for i in range(1, mp+1):
ans += n//(2*(5**i))
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p02833/s114723796.py | s114723796.py | py | 237 | python | en | code | 0 | github-code | 90 |
2895246832 | quant=int(input("сколько билетов планируете купить:"))
count=0
for i in range(1, quant+1):
text='возраст ' + str(i) + ' клиента:'
age = int(input (text))
if age >25:
count += 1390
print ("стоимость билета 1390 рублей")
else:
if age>=18:
count += 990
pr... | frankenhtejn/origin | main.py | main.py | py | 814 | python | ru | code | 0 | github-code | 90 |
18103299019 | def gcd(a, b):
"""calculate the greatest common divisor of a, b
>>> gcd(54, 20)
2
>>> gcd(147, 105)
21
>>> gcd(100000002, 39273000)
114
"""
if a > b:
a, b = b, a
if a == 0:
return b
return gcd(b % a, a)
def run():
a, b = [int(i) for i in input().split... | Aasthaengg/IBMdataset | Python_codes/p02256/s422498097.py | s422498097.py | py | 385 | python | en | code | 0 | github-code | 90 |
18360592139 | N = int(input())
H = list(map(int, input().split()))
flg = 1
for i in range(N-1):
if H[i+1] - 1 >= H[i]:
H[i+1] -= 1
elif H[i+1] < H[i]:
flg = 0
break
if flg == 1:
print('Yes')
elif flg == 0:
print('No') | Aasthaengg/IBMdataset | Python_codes/p02953/s235802736.py | s235802736.py | py | 244 | python | en | code | 0 | github-code | 90 |
29450566289 | #!/usr/bin/env python
from operator import itemgetter
"""
conflates 'objective' into neutral
"""
def conflate (tweetData, trainingExList, conf):
dictSent = {}
neg = 0.0
pos =0.0
neutral =0.0
obj =0.0
objNeut =0.0
for t in trainingExList:
if len(tweetData['tweets'][t]['answers']) =... | dyelsey/SemEval | helper.py | helper.py | py | 1,518 | python | en | code | 0 | github-code | 90 |
1383961785 | #
# Sorteador de facturas para 'x' día de la semana
# levanta los datos de un json, lee los datos y determina
# de acuerdo al día parametrizado y la cantidad de gente,
# los días que se debe llevar facturas y quien las lleva
import json
# from datetime import datetime
import modules.facturas_classes as fClasse... | andresj-io/facturas | facturas.py | facturas.py | py | 771 | python | es | code | 0 | github-code | 90 |
495505821 | import requests
from lxml import etree
baseurl = "https://huggingface.co/models?"
if __name__ == '__main__':
#初始化拼接请求url
url = ''
#初始化结果列表
result_list = []
#封装的api前缀
base_api = "https://api-inference.huggingface.co/models/"
model_url = "https://huggingface.co/"
# 定制请求头,加入cookie防止网站出现... | xglds99/pythonSpider | spider/huggingface.py | huggingface.py | py | 1,596 | python | en | code | 0 | github-code | 90 |
11254225459 | from nltk.corpus import wordnet as wn
from nltk import pos_tag,ne_chunk
from nltk.tokenize import word_tokenize,wordpunct_tokenize,sent_tokenize
import re, collections
from nltk.stem import WordNetLemmatizer
from nltk.tag import pos_tag
from collections import Counter
from nltk import FreqDist
import nltk
from nltk imp... | arvindtota/Python-Lab-Assignments | Lab Assignment 3/Source/three.py | three.py | py | 1,681 | python | en | code | 0 | github-code | 90 |
18402817069 | N,M,K =map(int, input().split())
mod = 10**9 + 7
# cmbが10**10くらいだけど求められるか？って感じ
# 問題読み違えていた。。。N*M <= 2*10**5だ。。。まあ普通だ。
# もうライブラリ使おう。昔nCrのrが小さい時の工夫とかあったけど今回は大丈夫だ。
# https://ikatakos.com/pot/programming_algorithm/number_theory/mod_combination
import numpy as np
def prepare(n, MOD):
nrt = int(n ** 0.5) + 1
nsq ... | Aasthaengg/IBMdataset | Python_codes/p03039/s550189886.py | s550189886.py | py | 2,054 | python | ja | code | 0 | github-code | 90 |
30590851909 | import asyncio
from aiogram import types
from aiogram.dispatcher.filters import Text
from loader import dp, bot
with open("pictures/lyceum.jpg", "rb") as file:
photo = file.read()
@dp.message_handler(Text(equals="TKTI qoshidagi akademik litsey"))
async def lyceum_uz(message: types.Message):
await bot.send... | dostonbokhodirov/tktiuzbot | handlers/structure_handlers/lyceum_handler.py | lyceum_handler.py | py | 3,655 | python | en | code | 1 | github-code | 90 |
18370421248 | # -*- coding: utf-8 -*-
from PyQt5.QtCore import pyqtSlot, pyqtSignal, Qt
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QDialog, QApplication, QHBoxLayout, QListWidgetItem, QListWidget, QMessageBox
from Ui_InputDlg import Ui_InputDlg
from data_handling.material import MaterialListLibrary
from widgetparam imp... | theysp/FDSNMH_GUI | src/InputDlg.py | InputDlg.py | py | 8,120 | python | en | code | 1 | github-code | 90 |
29416857899 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import csv
import logging
import os
import re
import sys
from os import path
from typing import List
import h5py
import numpy
# noinspection PyPackageRequirements
import progressbar
_CSV_FILE_PATTERN = r'\.?\d{8}T\d{6}-\d{8}T\d{6}(?:-\d+)?(?:-\d{8}T\d{6,... | MarlonCajamarca/Keras-LSTM-Trajectory-Prediction | dataset-creator/dataset-creator.py | dataset-creator.py | py | 6,708 | python | en | code | 101 | github-code | 90 |
11698250227 |
import os
import sys
import itertools
import re
adirProj=os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(adirProj)
from lib.resource.altname_paths import *
from lib.diskgenmem import *
from lib.resource.chem_altnames import *
from lib.resource.fetch_mesh_to_unii import *
... | jeffhhk/datriples | bin/benchmarks/mesh_chem_altnames.py | mesh_chem_altnames.py | py | 2,092 | python | en | code | 0 | github-code | 90 |
31429373257 | """
该模块是一个基于 PySide6 的多线程模块，通过创建实例 RunInThread 然后设置函数运行的方式无痛开启多线程
该模块同样可以传递参数给被调用函数,可以直接 return 后在被接受的函数里面定义对应数量的函数参数即可
Examples:
>>> import time
>>> a = RunInThread()
>>> a.set_start_func(lambda: time.sleep(5))
>>> a.set_finished_func(lambda: print('运行结束'))
>>> a.start()
>>> '运行结束' # 非阻塞主线程
"... | 271374667/NuitkaGUI | src/utils/run_in_thread.py | run_in_thread.py | py | 4,121 | python | en | code | 12 | github-code | 90 |
15482106525 |
from typing import Union as _Union
from typing import List as _List
from typing import Tuple as _Tuple
from .._network import Network
from .._networks import Networks
from .._population import Population
from .._variableset import VariableSets, VariableSet
from .._outputfiles import OutputFiles
from ._profiler impor... | chryswoods/MetaWards | src/metawards/utils/_run_models.py | _run_models.py | py | 18,892 | python | en | code | null | github-code | 90 |
27314725045 | from requests import Request, Session
import json
from novalabs.utils.helpers import interval_to_oanda_granularity, interval_to_milliseconds
import pandas as pd
from datetime import datetime
import time
class Oanda:
def __init__(self,
key: str = "",
secret: str = "",
... | bryansx/nova-backtest-doc | novalabs/clients/oanda.py | oanda.py | py | 8,721 | python | en | code | 0 | github-code | 90 |
18921013212 | from utilities import *
from greedy import greedy
from gym import Env, spaces
import numpy as np
from numpy.random import choice
from copy import deepcopy
def softmax(x):
return np.exp(-x)/np.sum(np.exp(-x))
class MCTS_DAG():
class Node:
action_indexes = {}
UCB = []
N = []
Q =... | MathisFederico/Metaheuristiques | tree_search.py | tree_search.py | py | 12,747 | python | en | code | 0 | github-code | 90 |
25227659105 | import numpy as np
import matplotlib.pyplot as plt
Histo_Bg = np.genfromtxt("Histo_Bg.csv", delimiter=',')
Bino_Bg = np.genfromtxt("Bins_Bg.csv", delimiter=',')
Histo_Sig = np.genfromtxt("Histo_Sig.csv", delimiter=',')
Bino_Sig = np.genfromtxt("Bins_Sig.csv", delimiter=',')
Features = ["pt", "eta", 'dphi', 'energy', '... | kaifulam/Hbb_ML | archive/Var_histo_plots/Test-ML_Hbb_feature_plot_rev3.py | Test-ML_Hbb_feature_plot_rev3.py | py | 940 | python | en | code | 0 | github-code | 90 |
45309913208 | from ast import Pass
import numpy as np
import random as rand
import reversi
import math
import copy
MAX = math.inf
MIN = -math.inf
MAX_SEARCH_DEPTH = 4
SCORE_RATIO_NORMALIZER = 100.0 / 63.0
MOBILITY_NORMALIZER = 100.0 / 13.0
class ReversiBot:
def __init__(self, move_num):
self.move_num = move_num
d... | mrchristensen/ReversiAI | ReversiBot_Python3/reversi_bot.py | reversi_bot.py | py | 7,829 | python | en | code | 0 | github-code | 90 |
26163639225 | from math import sqrt
import sys
def getfactor(n):
prim=set()
while n%2==0:
prim.add(2)
n//=2
for i in range(3, int(sqrt(n))+1, 2):
while n%i==0:
prim.add(i)
n//=i
if n>2:
prim.add(n)
return prim
rem=set()
s=set()
val=0
x=31627
for _ in ... | smitgajjar/Competitive-Programming | codechef/GUESSPRM.py | GUESSPRM.py | py | 1,090 | python | en | code | 0 | github-code | 90 |
33062760156 | import re
import pytest
import sly
import mckit.parser.common as cmn
from mckit.parser.common.Lexer import Lexer as LexerBase, LexError
# noinspection PyUnboundLocalVariable,PyPep8Naming,PyUnresolvedReferences
class DerivedLexer(LexerBase):
tokens = {FRACTION, FLOAT, INTEGER, ZERO}
FRACTION = r"\d+(?:\.\d+... | rorni/mckit | tests/parser/common/test_common_lexer.py | test_common_lexer.py | py | 3,284 | python | en | code | 3 | github-code | 90 |
27228324932 | # File: Work.py
# Description: This program
# Student Name: Michel Gonzalez
# Student UT EID: Mag9989
# Course Name: CS 313E
# Unique Number: 86610
# Date Created: 06/30/2021
# Date Last Modified: 06/30/2021
import sys
import time
# Input: v an integer representing the minimum lin... | Michel-A-Gonzalez/Coursework-Python | Data Structures and Algorithms/Python Code/Work.py | Work.py | py | 4,743 | python | en | code | 0 | github-code | 90 |
29802073970 | import setuptools
with open("README.md", "r", encoding='utf-8') as fh:
long_description = fh.read()
setuptools.setup(
name="xiaoxiao_lhy",
version="0.0.1",
author="Lhy",
author_email="lhuaye@163.com",
description="IC hardware design tools",
long_description=long_des... | belang/blackbean | xiaoxiao/setup.py | setup.py | py | 693 | python | en | code | 0 | github-code | 90 |
19734899610 | import numpy as np
import argparse
import os
import sys
def find_nearest(array, value):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return array[idx], idx
def cfar_din_generator(N):
fn_1 = N // 100 * 83
SNR_dB = 3
# signal and 1st clutter zone
s ... | sumitdarak/radar-hls-python | py_scripts/cfar_generator.py | cfar_generator.py | py | 3,627 | python | en | code | 0 | github-code | 90 |
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