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
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23179600632 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 17 13:48:21 2020
@author: zuoxichen
"""
def get_array_numbers(integer):
'''
Parameters
----------
int1 : integer
int.
Returns
-------
a set that contains all the number in a part.
'''
a=integer//3
... | bic-potato/codeforces_learning | Python/未命名4.py | 未命名4.py | py | 518 | python | en | code | 0 | github-code | 90 |
72681504297 | import re
from flask import jsonify
from sqlalchemy import text
from db import db
class IcuDevelopments:
__build_obj = """
json_build_object(
'timestamp',
agg.timestamp,
'inserted',
agg.last_insert_date,
'last_updated',
agg.last_update,
'num_hospitals'... | dbvis-ukon/coronavis | Backend/models/icuDevelopments.py | icuDevelopments.py | py | 20,272 | python | en | code | 16 | github-code | 90 |
40674763444 | import pandas as pd
import time
import math
myinput = '2018_Speed_QCpassed.tsv'
print("loading csv in to dataframe ... ")
# load csv into pandas dataframe
df1 = pd.read_csv(myinput, header=0, delimiter='\t')
# count the number of times a gene is reported per patient and generate a df to hold the tally
print("counting ... | AmyAmelia/Playground | SPEED_columnUpdate2.py | SPEED_columnUpdate2.py | py | 2,571 | python | en | code | 0 | github-code | 90 |
30525517184 | import pyomo.environ as pyo
import numpy as np
import random
import time
import copy
import sys
from matplotlib import pyplot as plt
c = np.empty(1)#placeholder to define them as global
d = np.empty(1)
t = np.empty(1)
f = np.empty(1)
model = pyo.ConcreteModel()
# This function reads the instance file and extracts all... | Maxlanglet/Proj_Combi | flp.py | flp.py | py | 16,370 | python | en | code | 0 | github-code | 90 |
11785599904 | """The Game of Hog."""
from dice import four_sided, six_sided, make_test_dice
from ucb import main, trace, log_current_line, interact
GOAL_SCORE = 100 # The goal of Hog is to score 100 points.
######################
# Phase 1: Simulator #
######################
def roll_dice(num_rolls, dice=six_sided):
"""Si... | Seanxiaao/cs61a | projects/hog/hog.py | hog.py | py | 11,648 | python | en | code | 0 | github-code | 90 |
18111385159 | from collections import deque
data = input()
tmp = deque()
se = list()
ase = list()
lakes = list()
x = 0
#check start - end
for a in data:
if a == '\\':
tmp.append(x)
if a == '/' and len(tmp) > 0 :
s = tmp.pop()
se.append([s,x])
x += 1
se.sort()
# analyse s -e
if len(se) > 0 :
ase.append(se[0])
... | Aasthaengg/IBMdataset | Python_codes/p02266/s418978537.py | s418978537.py | py | 831 | python | en | code | 0 | github-code | 90 |
18295989099 | import math
import sys
input = sys.stdin.readline
def isPrime(n):
i = 2
flag = True
while i * i <= n:
if n % i == 0:
flag = False
break
else:
i += 1
return flag
x = int(input())
while True:
if isPrime(x):
print(x)
break
else... | Aasthaengg/IBMdataset | Python_codes/p02819/s178001014.py | s178001014.py | py | 339 | python | en | code | 0 | github-code | 90 |
33193857229 | from application.models.UserPreference import UserPreference
from application.utils.validation import BusinessValidationError
from application.utils.check_headers import check_headers
from application.database.database import db
from flask_restful import fields, marshal_with
from flask_restful import Resource
from fla... | Vishvam10/ReMark-Backend | application/base_apis/UserPreferenceAPI.py | UserPreferenceAPI.py | py | 3,617 | python | en | code | 1 | github-code | 90 |
71440951656 | #!/usr/bin/env python3
import argparse
import os
import sys
import shutil
from time import time, sleep
import cv2
CLEAR_SCREEN_CODE = '\x1b[2J'
RESET_COLOR_CODE = '\x1b[0m'
def grayscale(pixel):
return '\x1b[48;5;%dm ' % (232 + pixel // (256 / 23))
def rgb(pixel):
p = pixel // (256 / 5)
return '\x1b[48;5... | Dront/term-video | play.py | play.py | py | 1,749 | python | en | code | 0 | github-code | 90 |
18140690019 | while True:
value = list(map(int, str(input()).split()))
if value[0] == -1 and value[1] == -1 and value[2] == -1:
break
sum = value[0] + value[1]
if value[0] == -1 or value[1] == -1:
print("F")
elif sum >= 80:
print("A")
elif sum >= 65:
print("B")
elif sum... | Aasthaengg/IBMdataset | Python_codes/p02411/s770592116.py | s770592116.py | py | 461 | python | en | code | 0 | github-code | 90 |
8605492592 | name=input("Enter your name:")
praise=int(input("Enter number of times you want to be praised:"))
l1=[]
l2=[]
l3=[name]+["is"]
l4=[]
for n in range(1,praise+1):
l1.append(n)
pr1=input("Enter the phrase you want to praise yourself with:")
l2.append(pr1)
for i in range(len(l1)):
l3+=[l1[i]]+[l2... | Pabsthegreat/python-class-11 | combinationseasy.py | combinationseasy.py | py | 357 | python | en | code | 0 | github-code | 90 |
18046644929 | # ans = 売る可能性がある場所の数 = 売って利益が最大値になる可能性がある場所
# Tは関係ない
N,T=map(int,input().split())
A=list(map(int,input().split()))
# 売る場所を一つず右にずらす
# それより前の場所の最安値を持っておく
# 差分のmaxvalを満たす回数をカウント、maxvalが更新されたら回数は1に戻す
INF=10**9+1
maxval=0
minval=INF
ans=0
for i in range(1,len(A)):
minval=min(A[i-1],minval)
diff=A[i]-minval
if diff>... | Aasthaengg/IBMdataset | Python_codes/p03946/s342361988.py | s342361988.py | py | 590 | python | ja | code | 0 | github-code | 90 |
72736983017 | # Utility Functions
from random import randint
def bits_to_int(bits):
return int(sum([2 ** (len(bits) - i - 1) * bit for (i, bit) in enumerate(bits)]))
def int_to_bits(number, bit_len=0):
bits = [int(bit) for bit in list(bin(number))[2:]]
if bit_len:
bits = ([0] * (bit_len - len(bits))) + bits
... | kvietcong/pytorch-practice | simple-gan/utility.py | utility.py | py | 574 | python | en | code | 0 | github-code | 90 |
28769896760 | # The spec module
# Manages specification to run things in lab
import itertools
import json
import os
from string import Template
import pydash as ps
from convlab.lib import logger, util
SPEC_DIR = 'convlab/spec'
'''
All spec values are already param, inferred automatically.
To change from a value into param range, ... | ConvLab/ConvLab | convlab/spec/spec_util.py | spec_util.py | py | 9,264 | python | en | code | 398 | github-code | 90 |
19511180376 | from bitcoin.rpc import RawProxy
import sys
if (len(sys.argv) > 1):
txid = sys.argv[1]
else:
txid = "0627052b6f28912f2703066a912ea577f2ce4da4caa5a5fbd8a57286c345c2f2"
p = RawProxy()
decoded_tx = p.decoderawtransaction(p.getrawtransaction(txid))
out_value = 0
for output in decoded_tx... | gertruda1/Python-bitcoinlib-project | 1uzduotis.py | 1uzduotis.py | py | 692 | python | en | code | 0 | github-code | 90 |
74157135977 | from selenium.webdriver.common.by import By
import time
link = "http://selenium1py.pythonanywhere.com/catalogue/coders-at-work_207/"
def test_productpage_contains_button_basket(browser):
browser.get(link)
time.sleep(30)
result = browser.find_elements(By.CSS_SELECTOR, "button.btn-add-to-basket")
asser... | Thunderbo1t28/stepik_auto_test_multylanguage | test_items.py | test_items.py | py | 356 | python | en | code | 0 | github-code | 90 |
13997936538 | from selenium import webdriver
from selenium.webdriver.support.ui import Select
import os
import time
PATH = "../selenium/chromedriver.exe"
driver = webdriver.Chrome(PATH)
# visit page
# click span w/ Search for Sections text
# select option value 2020FA
# select appropriate option value
# click SUBMIT
# get total pa... | jamisonvalentine/CSC490-Capstone-Project | data/scraping/src/wa_scraper.py | wa_scraper.py | py | 2,714 | python | en | code | 2 | github-code | 90 |
27308704901 | from gold.statistic.MagicStatFactory import MagicStatFactory
from gold.statistic.Statistic import Statistic
from gold.statistic.RawDataStat import RawDataStat
from gold.track.TrackFormat import TrackFormatReq
from gold.util.CustomExceptions import ShouldNotOccurError
class BpLevelArrayRawDataStat(MagicStatFactory):
... | uio-bmi/track_rand | lib/hb/quick/statistic/BpLevelArrayRawDataStat.py | BpLevelArrayRawDataStat.py | py | 1,448 | python | en | code | 1 | github-code | 90 |
17989681406 | """
中国大学 MOOC - 陈越、何钦铭-数据结构-起步能力自测题
自测 - 3 数组元素循环右移问题
wanghao 2022.08.16
"""
# parse input
s = input().split(' ')
n, m = eval(s[0]), eval(s[1])
data = input().split(' ')
# print
m %= n
if m == 0:
print(' '.join(data))
else:
print(' '.join(data[-m:]) + ' ' + ' '.join(data[:n - m])) | wanghao6736/LearningRepo | DataStructureAndAlgorithm/Self-testing/3-ArrayLoop.py | 3-ArrayLoop.py | py | 355 | python | zh | code | 0 | github-code | 90 |
7636148556 | import logging
import time
from storageClient import DatastoreClient
from patient import Patient
from encounter import Encounter
from medication import Medication
from medication_dispense import MedicationDispense
from report import DiagnosticReport
from procedure import Procedure
from observations import Observations
... | priyasingh16/Fully-Automated-GCP-Healthcare-API | FHIR/driver.py | driver.py | py | 3,342 | python | en | code | 1 | github-code | 90 |
40192414169 | #!/usr/bin/env python
from __future__ import print_function
import sys,os
import re
import gzip
import bz2
import pickle
import copy
import logging
import argparse
import collections
import numpy as np
from pprint import pprint
desc = 'Identify species-specific genes'
epi = """DESCRIPTION:
Updating a metaphlan3 databa... | leylabmpi/Struo2 | bin/scripts/metaphlan_db_from_uniref.py | metaphlan_db_from_uniref.py | py | 15,991 | python | en | code | 49 | github-code | 90 |
18424689459 | import sys
sys.setrecursionlimit(10 ** 7)
input = sys.stdin.readline
f_inf = float('inf')
mod = 10 ** 9 + 7
def resolve():
a, b, c = map(int, input().split())
print("Yes" if a == b == c else "No")
if __name__ == '__main__':
resolve()
| Aasthaengg/IBMdataset | Python_codes/p03079/s644362464.py | s644362464.py | py | 251 | python | en | code | 0 | github-code | 90 |
25753497462 | #!/usr/bin/env python3
# Created by: Liam Csiffary
# Created on: May 20, 2021
# This program determines the sum of the users num plus
# all the numbers preceding it down to 0
# get user num and reset the variables (only necessary
# if making a loop)
user_num = input("what is your number: ")
total = 0
counter = 0
# ... | ICS3U-Programming-LiamC/Unit4-01-Python | sum_num.py | sum_num.py | py | 997 | python | en | code | 0 | github-code | 90 |
33062488466 | import numpy as np
# noinspection PyUnresolvedReferences,PyPackageRequirements
from .geometry import EX, EY, EZ, Box as _Box, GLOBAL_BOX as _GLOBAL_BOX
class Box(_Box):
__doc__ = _Box.__doc__
def __init__(self, center, wx, wy, wz, ex=EX, ey=EY, ez=EZ):
_Box.__init__(self, center, wx, wy, wz, ex=ex, e... | rorni/mckit | mckit/box.py | box.py | py | 1,483 | python | en | code | 3 | github-code | 90 |
18590899179 | n = int(input())
a = list(map(int, input().split()))
b = 0
by = 0
flg = 0
for i,j in enumerate(a):
if abs(j) > abs(b):
b = j
by = i+1
if j > 0:
flg = 1
else:
flg = 0
ans = []
if flg == 1:
x = min(a)
if x < 0:
for i in range(n):
if a[i] != b:
a[i] += b
ans.append([by,i+1])
for i in range(... | Aasthaengg/IBMdataset | Python_codes/p03496/s662723486.py | s662723486.py | py | 591 | python | en | code | 0 | github-code | 90 |
14886879386 | # 21. 合并两个有序链表
# 将两个有序链表合并为一个新的有序链表并返回。新链表是通过拼接给定的两个链表的所有节点组成的。
#
# 示例：
#
# 输入：1->2->4, 1->3->4
# 输出：1->1->2->3->4->4
#
# 来源：力扣（LeetCode）
# 链接：https://leetcode-cn.com/problems/merge-two-sorted-lists
# 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
... | zhouyuzhouyu/leetcode | p21.py | p21.py | py | 1,829 | python | en | code | 0 | github-code | 90 |
9642186387 | ##https://github.com/madmaze/pytesseract
try:
from PIL import Image
except ImportError:
import Image
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract' #full path to your tesseract excutable
img = Image.open('[Input your data name]')
print(img)
imgAr... | Jihyeon0928/imageprocessing_group3 | tesseract_kjs.py | tesseract_kjs.py | py | 597 | python | en | code | 0 | github-code | 90 |
9723257604 | from character import * # comes with character_armor and character_stats
from items import *
from menu_placeholders import * # remove this later once all frames are set up
from tkinter import *
from tkinter.ttk import Combobox
courier_new = 'Courier New'
options_br = {'background': 'black', 'foreground': 'red'} # bl... | mmishere/Cyberpunk-2020-DM-Kit | __main__.py | __main__.py | py | 22,235 | python | en | code | 1 | github-code | 90 |
18375984319 | N = int(input())
A = list(map(int,input().split()))
A.sort()
mida = A[N//2-1]
midb = A[N//2]
if mida == midb:
print(0)
else:
ans = midb-mida
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p02989/s286713048.py | s286713048.py | py | 158 | python | en | code | 0 | github-code | 90 |
35383530684 | # -*- coding: utf-8 -*-
from datetime import datetime
from sqlalchemy import Column, Integer, String, DateTime
from sqlalchemy.ext.declarative import declarative_base
from application import engine
Base = declarative_base()
class UseCase(Base):
__tablename__ = 'use_case'
__table_args__ = {
"mysql_en... | cnboysliber/AutoTest | application/model/use_case.py | use_case.py | py | 3,574 | python | en | code | 4 | github-code | 90 |
7150366684 | from utils import Jugador
from src.const import barcos
#class Game ?? :
tamTablero = 10 # ambos tienen el mismo tamaöo de tablero
j1 = Jugador(False, tamTablero, "Aída")
ordena = Jugador(True, tamTablero, "PC")
j1.initTablero()
ordena.initTablero()
for i, v in barcos.items():
print(i,v)
j1.colocarBarcos(i,... | marinagoju/Battleship | backup/main.py | main.py | py | 400 | python | es | code | 0 | github-code | 90 |
5064121119 |
from core.config.base import Format
from core.output import *
class JsAnalyzerReportInText(TxtOutput):
def __init__(self, fileName):
TxtOutput.__init__(self, fileName)
def write(self, results):
line = "*" * 50
for result in results.GetFilesHaveSensitives():
TxtOutp... | abdallah-elsharif/WRock | core/jsanalyzer/report.py | report.py | py | 1,631 | python | en | code | 26 | github-code | 90 |
73269066535 | import pygame
import random
from random import randint
from time import *
def midpoint(x1,y1,x2,y2): #function to comoute the midpoint
x=(x1+x2)/2
y=(y1+y2)/2
return x,y
black = (0, 0, 0)
white = (255, 255, 255)
green = (0, 255, 0)
red = (255, 0, 0)
pygame.init()
size = [1024, 1024]
screen=pygame.displ... | HarigovindV10/Fractal | ChaosGame.py | ChaosGame.py | py | 1,077 | python | en | code | 0 | github-code | 90 |
29399690321 | import gevent
import sys
import time
from apscheduler.schedulers.gevent import GeventScheduler
from toolz import partial
from corens.ns import *
from corens.mod import f, lf
from corens.tpl import nsMk
from corens.console import nsConsoleDaemon
from corens.log import nsLogDaemon
def nsGInput(ns):
prompt = nsGet(ns... | vulogov/core.ns | corens/gevt.py | gevt.py | py | 3,658 | python | en | code | 0 | github-code | 90 |
18020350179 | def hasB(A, B, M, x, y):
has = True
for i in range(M):
for j in range(M):
if A[y + i][x + j] != B[i][j]:
has = False
return has
N, M = list(map(lambda x: int(x), input().split(" ")))
A = []
B = []
for i in range(N):
A.append(list(input()))
for j in range(M):
B.append(list(input()))
has = ... | Aasthaengg/IBMdataset | Python_codes/p03804/s747087360.py | s747087360.py | py | 538 | python | en | code | 0 | github-code | 90 |
72208153898 | """
使用队列实现栈的下列操作：
push(x) -- 元素 x 入栈
pop() -- 移除栈顶元素
top() -- 获取栈顶元素
empty() -- 返回栈是否为空
注意:
你只能使用队列的基本操作-- 也就是 push to back, peek/pop from front, size, 和 is empty 这些操作是合法的。
你所使用的语言也许不支持队列。 你可以使用 list 或者 deque（双端队列）来模拟一个队列 , 只要是标准的队列操作即可。
你可以假设所有操作都是有效的（例如, 对一个空的栈不会调用 pop 或者 top 操作）。
"""
from collections import deque
... | Asunqingwen/LeetCode | 简单/用队列实现栈.py | 用队列实现栈.py | py | 1,874 | python | zh | code | 0 | github-code | 90 |
5230653641 | import os
from flask import Flask, send_from_directory, abort
app = Flask(__name__)
@app.route("/techquest/<filename>")
def get_file(filename):
try:
return send_from_directory(
os.path.join(os.getcwd(), 'gi_python_dwh/reports'),
filename=filename,
as_attachment=True
... | alex-axel/TestGI | python_dwh/snap_datastream_center.py | snap_datastream_center.py | py | 465 | python | en | code | 0 | github-code | 90 |
38333104925 | # --------------
#Importing header files
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#Path of the file
data = pd.read_csv(path)
data.rename(columns = {'Total':'Total_Medals'},inplace = True)
data.head()
# --------------
data['Better_Event']=np.where(data['Total_Summer']>data['Tot... | ThatCADataScientist/olympic-hero | code.py | code.py | py | 2,892 | python | en | code | 0 | github-code | 90 |
19371464465 | from torch.utils.data import Dataset
class ISLES2018Dataset_MTT(Dataset):
def __init__(self, folder, modalities=None):
self.samples = []
for case_name in os.listdir(folder):
case_path = os.path.join(folder, case_name)
case = {}
for file_path in os.listdi... | fzbuzz/HeMIS_ISLES2018 | dataloader.py | dataloader.py | py | 1,320 | python | en | code | 0 | github-code | 90 |
11029118033 | from test.fixtures import *
import pytest
from mock import patch
from data import model
from data.users.shared import can_create_user
@pytest.mark.parametrize(
"open_creation, invite_only, email, has_invite, can_create",
[
# Open user creation => always allowed.
(True, False, None, False, Tr... | quay/quay | data/users/test/test_shared.py | test_shared.py | py | 2,662 | python | en | code | 2,281 | github-code | 90 |
44364216735 | import numpy as np
import matplotlib.pyplot as plt
from Environment import Environment
from RL_brain import DQN
import matplotlib.pyplot as plt
MAX_EPISODES = 1 # 训练回合数
STATE_DIM_LIGHT = 4 # 状态维度:四个相位的停车数目
ACTION_DIM_LIGHT = 4 # [周期,四个相位的绿信比]
MAX_ACTION = 1 # 输出动作边界
MEMORY_CAPACITY = 5000 # 记忆库大小
MAX... | H-9786/CVIS-DRL | DQN/test/run_this.py | run_this.py | py | 8,626 | python | en | code | 10 | github-code | 90 |
74946804775 | """
Problem 9 - Special Pythagorean triplet
A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,
a^2 + b^2 = c^2
For example, 3^2 + 4^2 = 9 + 16 = 25 = 5^2.
There exists exactly one Pythagorean triplet for which a + b + c = 1000.
Find the product abc.
"""
def solution():
# a + b + c =... | yred/euler | python/problem_009.py | problem_009.py | py | 636 | python | en | code | 1 | github-code | 90 |
15826805736 | from random import randint
#"def play_battleship():" #this code here will allow me to put the whole game code into a method/funtion so that for reqierment 5 i can replay the game if the user says yes. However when i implement this line of code i cant get the whole programe to run, so i am unsure of the issue.
board =... | JakkCHN/JakkCHN | BattleShipsGame.py | BattleShipsGame.py | py | 6,393 | python | en | code | 0 | github-code | 90 |
38419822604 | import preprocessing as pp
import transformers as tr
import ensemble as em
from cv_lab import score_sq
from sklearn.pipeline import Pipeline
import feature_selection as fs
import numpy as np
from sklearn.kernel_ridge import KernelRidge
from xgboost import XGBRegressor
import lightgbm as lgb
from sklearn.svm import SVR,... | fpcarneiro/Kaggle-Python | House Prices - Advanced Regression Techniques/model_11343/house_prices.py | house_prices.py | py | 8,059 | python | en | code | 1 | github-code | 90 |
75085722 | import sys
input=sys.stdin.readline
N = int(input())
list_AB = []
list_B = []
dp = [0 for _ in range(N)]
for i in range(N):
list_AB.append(list(map(int, input().strip().split())))
list_AB.sort(key = lambda x : x[0])
for i in range(N):
list_B.append(list_AB[i][1])
for i in range(N):
for j in range(i):
... | YeongHyeon-Kim/BaekJoon_study | 0830/2565_전깃줄.py | 2565_전깃줄.py | py | 428 | python | en | code | 1 | github-code | 90 |
18515135329 | n,m = map(int, input().split())
t = [[n] for i in range(n)]
for i in range(m):
a,b = map(int, input().split())
t[a-1].append(b-1)
g = []
for i in t:
g.append(sorted(i))
k = 0
ans=0
while k <=n-1:
e = n
for i in g[k:]:
e = min(e,i[0])
if e==n:
break
ans+=1
k = e
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03295/s772170597.py | s772170597.py | py | 296 | python | en | code | 0 | github-code | 90 |
26960871687 | from re import S
import numpy as np
import torch
import jieba.posseg as posseg
from torch.autograd import Variable
import torch.nn as nn
import json
def multi_label_accuracy(outputs, label, config = None, result=None):
if len(label[0]) != len(outputs[0]):
raise ValueError('Input dimensions of labels and o... | fatcatofbupt/medical-algo-dev | datasets/clinical_criteria.py | clinical_criteria.py | py | 10,502 | python | en | code | null | github-code | 90 |
35196645701 | from django.urls import path, re_path
from lesion_bank import views
urlpatterns = [
## Root and core pages
path('', views.index_view, name='index'),
path('faq/', views.faq, name='faq'),
path('register/', views.RegisterView.as_view(), name='register'),
## Data imports and metadata editing
... | JosephIsaacTurner/LesionBank | lesion_bank/urls.py | urls.py | py | 1,915 | python | en | code | 0 | github-code | 90 |
19292020775 | from keras.models import Sequential, Model
from keras.layers import Convolution2D, Input, merge
from keras.callbacks import ModelCheckpoint
from keras.utils.io_utils import HDF5Matrix
from keras.optimizers import Adam
from drcn_merge import DRCN_Merge
BATCH_SIZE = 20
input_data = Input(batch_shape=(BATCH_SIZE, 1, 41,... | invisiblearts/DRCN | drcn_main.py | drcn_main.py | py | 2,229 | python | en | code | 14 | github-code | 90 |
18297272229 | N, K = map(int, input().split())
R, S, P = map(int, input().split())
T = input()
li = [[] for _ in range(K)]
for k in range(N):
if T[k] == 'r':
li[k%K].append([P, 'r'])
elif T[k] == 's':
li[k%K].append([R, 's'])
else:
li[k%K].append([S, 'p'])
ans = 0
for k in range(K):
j = 0
while j < len(li[k])-1... | Aasthaengg/IBMdataset | Python_codes/p02820/s780414101.py | s780414101.py | py | 755 | python | en | code | 0 | github-code | 90 |
18397778699 | N, K = map(int, input().split())
V = list(map(int, input().split()))
ans = 0
for left in range(min(N, K) + 1):
for right in range(min(N - left, K - left) + 1):
tmp = V[:left] + V[N - right:]
tmp.sort()
score = 0
count = K - left - right
for i in tmp:
if count <= ... | Aasthaengg/IBMdataset | Python_codes/p03032/s294465256.py | s294465256.py | py | 562 | python | en | code | 0 | github-code | 90 |
10684937912 | #######################################################
# Module: process.py
# Description: definition of Process Class
#######################################################
import numpy as np
from pack.utilities.const import EN, EMIN
from pack.utilities.bondCounting import bond_dicts, theta
class Process:
... | Merlingot/kMC-simulation | pack/include/process.py | process.py | py | 3,080 | python | en | code | 0 | github-code | 90 |
38226806883 | import sys,os
razdel = ['_',':',';']
def uniq(seq):
seen = set()
seen_add = seen.add
return [x for x in seq if not (x in seen or seen_add(x))]
def parol(words):
new_words1 = []
for i in words:
new_words1.append(i)
new_words1.append(i[0].upper() + i[1:])
new_words1.append(i[0]... | Vladimir-Voronin/Different | Pycheck/4.py | 4.py | py | 903 | python | en | code | 0 | github-code | 90 |
18389759809 | N, M = map(int, input().split())
A = [True] * (N + 1)
for _ in range(M):
a = int(input())
A[a] = False
dp = [0] * (N + 1)
dp[0] = 1
for i in range(N):
for j in range(i + 1, min(N, i + 2) + 1):
if A[j] is True:
dp[j] += dp[i]
dp[j] %= 10 ** 9 + 7
print(dp[N])
| Aasthaengg/IBMdataset | Python_codes/p03013/s385788036.py | s385788036.py | py | 306 | python | en | code | 0 | github-code | 90 |
73885055657 | #!/usr/bin/env python3
import pickle
import pandas as pd
import numpy as np
import evaluate_communities
import argparse
from plot_styles import basic_algorithms, clique_algorithms, dashed_algorithms
def write_table(data, out_name):
algos = list(filter(lambda x : x not in dashed_algorithms or x == "Cl", basic_alg... | kit-algo/LCD-cliques-experiments | time_table.py | time_table.py | py | 1,391 | python | en | code | 3 | github-code | 90 |
4302299669 | from stellargraph import datasets
from pprint import pprint
from stellar_graph_demo.gnn.train_gnn_functions import (
get_model_and_generator,
create_gnn_generators_flows,
train_gnn_model,
evaluate_gnn_model_on_test_dataset,
visualise_gnn_embedding,
)
if __name__ == "__main__":
"""Trains the G... | CuriousKomodo/gnn_experiments | stellar_graph_demo/train_gnn.py | train_gnn.py | py | 1,525 | python | en | code | 4 | github-code | 90 |
74442114856 | import logging
from flask import Flask, request
app = Flask(__name__)
# Configure logging to stdout
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
@app.route('/', methods=['GET', 'POST'])
def log_data():
if request.method == 'GET':
logging.info(f"Received GET requ... | joaops95/morsecode | app.py | app.py | py | 752 | python | en | code | 0 | github-code | 90 |
9519172612 | # 백준 2493
import sys
input = sys.stdin.readline
n = int(input().rstrip())
tower = list(map(int, sys.stdin.readline().split()))
stack = []
check = [0] * n
for i in range(n): # 타워를 하나씩 본다
t = tower[i]
while stack and tower[stack[-1]] < t: # 스택의 탑보다 현재 타워가
stack.pop() # 크면 계속 팝
if stack: # 스택이 남았으면
... | whwogur/BOJ | 2493.py | 2493.py | py | 571 | python | ko | code | 0 | github-code | 90 |
18057079439 | s = list(input())
k = int(input())
#print(ord("z"))
for i in range(len(s)):
if s[i] != 'a' and 123 - ord(s[i]) <= k:
k -= (123 - ord(s[i]))
s[i] = "a"
#print(k)
#print(s, k)
k %= 26
if ord(s[-1]) + k > 122:
s[-1] = chr(ord(s[-1]) + k - 26)
else:
s[-1] = chr(ord(s[-1]) + k)
ans = ""
for i in s:
ans +... | Aasthaengg/IBMdataset | Python_codes/p03994/s255807477.py | s255807477.py | py | 334 | python | en | code | 0 | github-code | 90 |
17449809167 | from cleo import Command
import pika
import json
import requests
import os
import csv
from lxml import html
import psycopg2
import re
LOOKUP_URL = 'https://osm-dev.eos.com/nominatim/lookup?osm_ids={}&format=json'
DETAILS_URL = 'https://osm-dev.eos.com/nominatim/details.php?place_id={}'
class WorkerCommand(Command):
... | filevgenij/osm-update-tsv | app/command/WorkerCommand.py | WorkerCommand.py | py | 5,610 | python | en | code | 0 | github-code | 90 |
14065049501 | import numpy as np
import pytest
from iris.coords import AuxCoord, CellMethod
# Test successful outputs (input cubes in alphabetical order by fixture)
from improver.developer_tools.metadata_interpreter import SPOT_COORDS
def test_realizations(ensemble_cube, interpreter):
"""Test interpretation of temperature rea... | metoppv/improver | improver_tests/developer_tools/test_MOMetadataInterpreter.py | test_MOMetadataInterpreter.py | py | 23,908 | python | en | code | 95 | github-code | 90 |
72208019498 | """
给定一个链表，旋转链表，将链表每个节点向右移动 k 个位置，其中 k 是非负数。
示例 1:
输入: 1->2->3->4->5->NULL, k = 2
输出: 4->5->1->2->3->NULL
解释:
向右旋转 1 步: 5->1->2->3->4->NULL
向右旋转 2 步: 4->5->1->2->3->NULL
示例 2:
输入: 0->1->2->NULL, k = 4
输出: 2->0->1->NULL
解释:
向右旋转 1 步: 2->0->1->NULL
向右旋转 2 步: 1->2->0->NULL
向右旋转 3 步: 0->1->2->NULL
向右旋转 4 步: 2->0->1->NUL... | Asunqingwen/LeetCode | 中等/旋转链表.py | 旋转链表.py | py | 1,279 | python | en | code | 0 | github-code | 90 |
18278646669 | H = int(input())
num = {}
lis = [H]
h = H
while h > 1:
h //= 2
num[h] = 0
lis = [h] + lis
num[1] = 1
for n in lis[1:]:
num[n] = 2*num[n//2] + 1
print(num[H])
| Aasthaengg/IBMdataset | Python_codes/p02786/s688481554.py | s688481554.py | py | 178 | python | en | code | 0 | github-code | 90 |
74206655976 | # -*- coding: utf-8 -*-
"""
Write a program in Python to find mean, median and mode without importing additional
#module.
@author: Sagnik
"""
#mean
def mean(a):
b=len(a)
sum=0
for i in range (0,b):
sum+=a[i]
avg = sum/b
print("Mean:",avg)
#median
def median(a):
... | codehopperreddit/DataScienceusingpython | 3.py | 3.py | py | 864 | python | en | code | 0 | github-code | 90 |
33042872912 | # 피보나치 수
n = int(input())
store = []
for i in range(n + 1):
if i in (0, 1):
store.append(i)
else:
store.append(store[i - 2] + store[i - 1])
print(store[n])
| kyw624/algorithm | BOJ/legacy/bronze/2747.py | 2747.py | py | 193 | python | ko | code | 0 | github-code | 90 |
29849323740 | import numpy as np
import Simulators, Logger, Evaluators
import warnings
import argparse
import pickle
import sys
class OfflineExp(object):
def __init__(self, n=1000, K=10, L=5, dataset="synth", feat_noise=0.25, reward_noise=1.0):
self.n = n
self.K = K
self.L = L
self.weight = np.ar... | akshaykr/oracle_cb | OfflineExp.py | OfflineExp.py | py | 4,258 | python | en | code | 29 | github-code | 90 |
18266781079 | # C - Rally
n = int(input())
x = list(map(int,input().split()))
c = []
x_ave = int(sum(x)/n)
s = 0
for i in range(n):
s += (x[i]-x_ave)**2
c.append(s)
s = 0
for i in range(n):
s += (x[i]-x_ave-1)**2
c.append(s)
print(min(c))
| Aasthaengg/IBMdataset | Python_codes/p02767/s982785556.py | s982785556.py | py | 237 | python | en | code | 0 | github-code | 90 |
11643446936 | import psycopg2
from mqtt2psql.data import PlugSensor, PlugState
class PlugsSql:
def __init__(
self,
host: str,
user: str,
password: str,
database: str
):
self.conn = psycopg2.connect(
dbname = database,
host = host,
user = use... | polygon/mqtt2psql | mqtt2psql/plugs_sql.py | plugs_sql.py | py | 2,233 | python | en | code | 0 | github-code | 90 |
36270130477 | import dataclasses
import itertools
import logging
from celery import shared_task
from django.db import transaction
from magiccube.collections.cubeable import cardboardize
from magiccube.laps.traps.trap import CardboardTrap, IntentionType
from elo.utils import rescale_eloeds, adjust_eloeds
from api.models import C... | guldfisk/cubeapp | rating/tasks.py | tasks.py | py | 8,790 | python | en | code | 1 | github-code | 90 |
8531627957 | # var = open('info.txt','r')
# var1 = open('hello.txt','w')
# var1.write(var.read())
# var1.close()
# var1 = var.read()
# This variable object is storing the information present in the file.
# If you familiar with the concept of pointers then here this variable var is actually a pointer to this file.
# Basically i... | yashu762001/Python-Tutorial | FileHandling/ReadingToAFile.py | ReadingToAFile.py | py | 1,109 | python | en | code | 1 | github-code | 90 |
40026521796 | class Solution:
def permute(self, nums):
"""
:type n: int
:rtype: List[str]
"""
self.result=list()
self.step(list(),nums)
return self.result
def step(self,state,bag):
if len(bag)==0:
self.result.append(state)
return
... | lanpartis/LeetCodePractice | 46.py | 46.py | py | 512 | python | en | code | 0 | github-code | 90 |
34562623459 | '''
Learning Generic Sentence Representations Using Convolutional Neural Networks
https://arxiv.org/pdf/1611.07897.pdf
Developed by Zhe Gan, zhe.gan@duke.edu, April, 19, 2016
'''
#import os
import time
import logging
import cPickle
import numpy as np
import theano
import theano.tensor as tensor
from model.autoencod... | zhegan27/ConvSent | train_autoencoder.py | train_autoencoder.py | py | 8,982 | python | en | code | 34 | github-code | 90 |
9917462086 | import ccxt
import time
import pandas as pd
import os
from requests import Request, Session
from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
import json
# region API KEY
Binance_API_KEY = "90IGrd6MtBRv1ZPOgAWjQv8Zo8grIBTPMTkDQ8bWYkUW3NDFNQ8gcdaouDGKjCFr"
Binance_SECRET_KEY = "T37EykRUnTJWl7AU... | taewoo0703/CryptoTradingManager | DataScraper.py | DataScraper.py | py | 12,105 | python | en | code | 0 | github-code | 90 |
41188806307 | import scrapy
import csv
import urllib.parse
import re
class CassavaPriceSpider(scrapy.Spider):
name = 'cassava_spider'
start_urls = ['http://www.oae.go.th/view/1/%E0%B8%A3%E0%B8%B2%E0%B8%84%E0%B8%B2%E0%B8%AA%E0%B8%B4%E0%B8%99%E0%B8%84%E0%B9%89%E0%B8%B2%E0%B8%A3%E0%B8%B2%E0%B8%A2%E0%B8%A7%E0%B8%B1%E0%B8%99/%E... | napatwongchr/price-scraper | cassava_spider.py | cassava_spider.py | py | 2,014 | python | en | code | 0 | github-code | 90 |
10042764973 | flags = [
'-Wall',
'-Werror',
'-std=c11',
# std is required
# clang won't know which language to use compiling headers
# '-x' and 'c++' also required
# use 'c' for C projects
'c',
'-I./',
'-I./antisaccades',
'-I/opt/local/include/',
'-I/usr/local/MATLAB/R2017a/extern/include',
'-I/Applications/MATLAB_R2017b.app/extern... | translationalneuromodeling/tapas | sem/src/.ycm_extra_conf.py | .ycm_extra_conf.py | py | 669 | python | en | code | 194 | github-code | 90 |
42196918857 | import os
p = r'E:\учёба\python'
lst = os.listdir(p)
s = []
for i in lst:
s.append(os.path.join(p, i))
k = 0
while k < len(s):
if os.path.isdir(s[k]):
print(f'{lst[k]} - dir.')
if os.path.isfile(s[k]):
print(f'{lst[k]} - file - {os.path.getsize(s[k])} bytes.')
k += 1
| alexeiakimenko/portfolio | HomeWork/hw13.03/scan.py | scan.py | py | 306 | python | en | code | 0 | github-code | 90 |
31809327679 | """Support for Anthem Network Receivers and Processors."""
from __future__ import annotations
import logging
from anthemav.connection import Connection
from anthemav.protocol import AVR
from homeassistant.components.media_player import (
MediaPlayerDeviceClass,
MediaPlayerEntity,
MediaPlayerEntityFeature... | Hyralex/hass-anthemav | anthemav_custom/media_player.py | media_player.py | py | 4,892 | python | en | code | 5 | github-code | 90 |
18194194119 | # from sys import stdin
# input = stdin.readline
from collections import Counter
MOD = 10**9 + 7
MAX = 2000001
def solve():
k = int(input())
s = input().strip()
ns = len(s)
res = 0
fac = [1,1] + [0] * MAX
inv = [1,1] + [0] * MAX
for i in range(2,MAX+1):
fac[i] = fac[i-1] * i % MOD
... | Aasthaengg/IBMdataset | Python_codes/p02632/s051151356.py | s051151356.py | py | 757 | python | en | code | 0 | github-code | 90 |
74691600295 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Latent2Class(nn.Module):
def __init__(self, cls=1000) -> None:
super().__init__()
self.cls = nn.Sequential(
nn.Linear(2048, 1000),
nn.Softmax()
)
def forward(self, x):
x = x.permut... | cddchen/MAE | latent2class_model.py | latent2class_model.py | py | 416 | python | en | code | 0 | github-code | 90 |
26924755745 | import re
from django.shortcuts import redirect,HttpResponse
from django.conf import settings
class MiddlewareMixin(object):
def __init__(self, get_response=None):
self.get_response = get_response
super(MiddlewareMixin, self).__init__()
def __call__(self, request):
response = None
... | wangxingping123/crmpro | app01/middleware/middle.py | middle.py | py | 997 | python | en | code | 0 | github-code | 90 |
14618734806 | import time
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
import os
import pathlib
target_path = './hanime_images/'
driver_path = "./chromedriver"
image_links = []
def init_driver():
driver = webdriver.Chrome(executable_path=driver_path)
driver.wait = WebDriverWait(dr... | Kingularity/hanime-scraper | hanime.py | hanime.py | py | 4,164 | python | en | code | 3 | github-code | 90 |
11618136646 | import time
from requests import get
from pandas import read_excel
inicio = time.time()
arquivo = read_excel('Telecom.xlsb') #ler arquivo em excel, que deverá estar na mesma pasta onde o programa for executado e com o mesmo nome.
count = 0
for seq, coluna in arquivo.iterrows():
link = get(coluna['link'])
nome... | Dawisonms/Python | Aprendix/Versoes/Aprendix3.1.py | Aprendix3.1.py | py | 782 | python | pt | code | 1 | github-code | 90 |
15772322556 | import numpy as np
def get_wrapped_slice(arr, x_start, x_end, y_start, y_end):
height, width = arr.shape[0], arr.shape[1]
x_start, x_end = x_start % width, x_end % width
y_start, y_end = y_start % height, y_end % height
if x_start < x_end and y_start < y_end:
return arr[y_start:y_end, x_start:x_end]
... | Hexcss/personal_py_ecosystem_simulation | utils/functions/functions.py | functions.py | py | 655 | python | en | code | 0 | github-code | 90 |
37595266 | #从Aminer提供的数据中挖掘出所有学者以及他们之间的关系
import json
def fetch_authors(lines):
authors = []
for line in lines:
list = line.split("\"")
author_pair = []
author_pair.append(int(list[0].strip()))
author_pair.append(list[1])
author_pair.append(int(list[2].strip()))
authors.app... | leezythu/Nodefocus | backend/data/process_data.py | process_data.py | py | 3,021 | python | en | code | 5 | github-code | 90 |
28756567738 | import pytest
import datetime
import calendar
@pytest.fixture()
def sns_event_success():
return {
"Records": [
{
"EventSource": "aws:sns",
"EventVersion": "1.0",
"EventSubscriptionArn": "arn:aws:sns:ap-northeast-1:705427061380:oura-score-get-noti... | Akiyoshi999/Oura_data_get_for_AWS | tests/unit/conftest.py | conftest.py | py | 3,539 | python | en | code | 0 | github-code | 90 |
42256590977 | from qgis.PyQt.QtCore import Qt, QUrl
from qgis.PyQt.QtGui import QColor
from qgis.core import Qgis, QgsCoordinateTransform, QgsProject, QgsSettings
from qgis.gui import QgsMapToolEmitPoint, QgsVertexMarker
from .util import epsg4326, tr
from .settings import settings
import os
import webbrowser
import tempfile
import ... | NationalSecurityAgency/qgis-latlontools-plugin | showOnMapTool.py | showOnMapTool.py | py | 4,776 | python | en | code | 283 | github-code | 90 |
25688235443 | # DO NOT MODIFY THIS CLASS
import datetime
from DB import DBAccess
from .tools import static_initializer
@static_initializer
class UserDataAccess:
@classmethod
def static_init(cls):
cls.__table_name = 'users'
cls.__table_description = ['client_id', 'date_of_birth', 'email_address'... | ssjinkaido/ProgrammingTechniques | Part2/project/LegacyApp/UserDataAccess.py | UserDataAccess.py | py | 1,073 | python | en | code | 0 | github-code | 90 |
72367682538 | from conexao.conexaoBD import ConexaoBD
class MonitorTutorDao:
_conexaoBD = ConexaoBD()
_conexao = _conexaoBD.criarConexao()
def __init__(self):
pass
def AdicionarMonitorTutor(self, vetorAtributos):
cursor = self._conexao.cursor()
sql = "INSERT INTO interprete (int_id, int_nom... | ArthurOliveira173/Repositorio-Estagio | dao/monitorTutorDao.py | monitorTutorDao.py | py | 1,701 | python | en | code | 0 | github-code | 90 |
39253655208 | from package.setlist_data import data
from package.models import *
def make_artists(data):
list_of_artists = []
for item in data:
if item['artist']['name'] not in set([art.name for art in list_of_artists]):
list_of_artists.append(Artist(name = item['artist']['name']))
return list_of_art... | davidmasse/international-artists | etl_old.py | etl_old.py | py | 3,340 | python | en | code | 0 | github-code | 90 |
1370371831 | from django.http import HttpResponse
from tastypie.exceptions import BadRequest
from tastypie.utils import is_valid_jsonp_callback_value
from tastypie.utils.mime import determine_format, build_content_type
from core.api.serializers import HTMLSerializer
from .constants import ERRORS
def error_response(request, err... | gannetson/poc | source/core/api/functions.py | functions.py | py | 1,223 | python | en | code | 1 | github-code | 90 |
18407021539 | N, M = map(int, input().split())
G = [[] for _ in range(N)]
for i in range(M):
x, y, z = map(int, input().split())
G[x-1].append(y-1)
G[y-1].append(x-1)
lst = []
visited = [0]*N
for i in range(N):
if visited[i] == 1:continue
temp = [i]
lst1 = [i]
visited[i] = 1
while temp:
p = ... | Aasthaengg/IBMdataset | Python_codes/p03045/s761887424.py | s761887424.py | py | 534 | python | en | code | 0 | github-code | 90 |
11407765201 | from abc import ABC, abstractmethod
import keras
def age_relu(x):
return keras.backend.relu(x, max_value=100)
STANDARD_CLASSES = {
"gender": 2,
# "age": 5,
"age": 1,
"ethnicity": 4,
"emotion": 7
}
STANDARD_ACT = {
"gender": "softmax",
# "age": "softmax",
"age": age_relu,
"eth... | gdiprisco/Multitask_CNNs_for_efficient_face_analysis_in_the_wild | training/model_abstract.py | model_abstract.py | py | 4,197 | python | en | code | 1 | github-code | 90 |
35859359557 | #This file will need to use the DataManager,FlightSearch, FlightData, NotificationManager classes to achieve the program requirements.
from pprint import pprint
from data_manager import DataManager
from flight_search import FlightSearch
from notification_manager import NotificationManager
import datetime as dt
ORIGIN... | fkajose/100-Days-of-Code | 40. Flight Club/main.py | main.py | py | 1,951 | python | en | code | 1 | github-code | 90 |
18528130719 | n = int(input())
sum_min = 100000
for i in range(1,n):
i_sum = 0; j_sum = 0
j = n-i
i = str(i); j = str(j)
for k in range(len(i)):
i_sum += int(i[k])
for k in range(len(j)):
j_sum += int(j[k])
tmp_sum = i_sum + j_sum
if sum_min >tmp_sum :
sum_min = tmp_sum
print(sum_... | Aasthaengg/IBMdataset | Python_codes/p03331/s847419598.py | s847419598.py | py | 324 | python | en | code | 0 | github-code | 90 |
31293945202 | import telebot
import const
bot = telebot.TeleBot(const.token)
print(bot.get_me())
@bot.message_handler(content_types=['text'])
def handle_text(message):
if message.text == "User_Message":
bot.send_sticker(message.chat.id, const.Sticker_id)
bot.polling(none_stop=True, interval=0) | Junkwolves/Telegram-Bot | Message_Sticker/Message_Sticker.py | Message_Sticker.py | py | 304 | python | en | code | 0 | github-code | 90 |
29632356411 | import numpy as np
def swap(a, i, j):
temp = np.copy(a[i, 0:])
a[i, 0:] = a[j, 0:]
a[j, 0:] = temp
print("Example input : 1,2,3,4")
row1 = list(eval(input("Row 1: ")))
row2 = list(eval(input("Row 2: ")))
row3 = list(eval(input("Row 3: ")))
a = np.array([row1, row2, row3], float)
swap(a, 0, 2)
print(a... | jayGetsuka/Home-work-1 | Matrix.py | Matrix.py | py | 850 | python | en | code | 0 | github-code | 90 |
24465213502 | from PyQt4 import QtGui
from fancytools.os.PathStr import PathStr
#own
from RunTutorial import RunTutorial
from CreateTutorial import CreateTutorial
class TutorialMenu(QtGui.QMenu):
'''
A QMenu containing
* 'Run' - listing all saved tutorials to run
* 'Create/Edit' - open the ... | radjkarl/interactiveTutorial | interactiveTutorial/TutorialMenu.py | TutorialMenu.py | py | 4,522 | python | en | code | 1 | github-code | 90 |
37632139343 | import pandas as pd
df = pd.read_csv('merged.csv')
df.drop(['Unnamed: 0', 'Luminosity'], axis = 1, inplace = True)
final_data = df.dropna()
print(final_data.describe())
final_data.to_csv('final.csv') | Zackster310/Star-WebScraping-Merged | clean.py | clean.py | py | 214 | python | en | code | 0 | github-code | 90 |
8136370121 | import numpy as np
import sympy as sp
x = sp.symbols('x')
funcion = sp.sympify("2*x-4*sin(x)")
intervaloUno = int(input("Ingrese el intervalor inferior"))
intervaloDos = int(input("Ingrese el intervalor superior"))
n = 0
tabla = []
if funcion.subs(x,intervaloUno)*funcion.subs(x,intervaloDos) < 0:
cifras =-1
... | Moises-png993/AnalisisNumerico | Ejercicio_Biseccion.py | Ejercicio_Biseccion.py | py | 1,303 | python | es | code | 0 | github-code | 90 |
15300499163 | #!/usr/bin/env python2
import cv2
# from rrt import map_img
import numpy as np
import rrt
import rospy
from nav_msgs.msg import OccupancyGrid
def extend_obstacles(my_map, radius):
# Threshold the grayscale image to get the binary map
_, binary_map = cv2.threshold(my_map, 127, 255, cv2.THRESH_BINARY_INV)
... | rpalfini/EECS_221 | src/TurtleBot/scripts/test_obstacle_radius_exten.py | test_obstacle_radius_exten.py | py | 2,261 | python | en | code | 0 | github-code | 90 |
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