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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
40347657143 | # Fill these in from your Azure app (see https://docs.microsoft.com/en-us/azure/active-directory/develop/quickstart-register-app).
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'
# App redirect URI and allowed scopes.
REDIRECT_URI = 'http://localhost:5000/login/authorized'
SCOPES = [
"User.Read",
... | KasumiL5x/PyTeamsExporter | app_config.py | app_config.py | py | 785 | python | en | code | 1 | github-code | 13 |
3402293306 | # import the necessary packages
from imutils import contours
from skimage import measure
import numpy as np
import argparse
import imutils
import cv2
from google.colab.patches import cv2_imshow
import PIL
import os
def cropONH(imageName):
left_bias = 128
output_dim = 512
def calc_gt_bounds(msk_path):
gt = PIL.Ima... | pascuale2/Glaucoma-Identification | Dataset/crop_ONH.py | crop_ONH.py | py | 5,108 | python | en | code | 2 | github-code | 13 |
71148567379 | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
from dateutil.parser import parse
conntrack = open('conntrack.txt', 'r') #archivo conntrack
date = open('date.txt', 'r')# archivo data
con = []
fechas = []
for linea in open('conntrack.txt', 'r'):
con.append(linea)
for fecha in date.readli... | amcabezas/grafico-conntrack-python | grafico_conntrack.py | grafico_conntrack.py | py | 692 | python | es | code | 0 | github-code | 13 |
15798625578 | a = [1, 4.9,"dhruv", 1+5j, 2, 54.88, "patel", 9+6j, 2, 8.44]
#ans2
lst = [1, 2.5, "Consultadd", 1+2j, 2]
print(lst[::-1])
print(lst[::2])
print(lst[2:])
print(lst[:3])
#ans3
lst = [1, 2, 3, 4, 5, 6, 7, 8, 9]
lst1 = 0
lst2 = 1
for i in lst:
lst1 += i
for i in lst:
lst2 *= i
print("Sum of all numbers in the ... | pdhruv1805/consultadd | assignment3.py | assignment3.py | py | 1,178 | python | en | code | 0 | github-code | 13 |
27736259266 | import time
from tkinter import *
from tkinter import messagebox
# creating Tk window
root = Tk()
root.geometry("300x250")
root.title("Time Counter")
# Declaration of variables
hour = StringVar()
minute = StringVar()
second = StringVar()
# setting the default value as 0
hour.set(" 00")
minute.set(" 00")
second.s... | Swapnil-Singh-99/PythonScriptsHub | timer/main.py | main.py | py | 1,934 | python | en | code | 19 | github-code | 13 |
15447884553 | #/usr/bin/python
import csv
import sys
import argparse
import torch
from torch import nn
import torch.nn.functional as F
from tqdm import tqdm
import os
import torchvision.models as models
from torch.utils.data import DataLoader, Dataset
import torchvision.transforms as transforms
import json
from PIL import Image
im... | iacercalixto/visualsem-kg | multisense/multi_train.py | multi_train.py | py | 16,396 | python | en | code | 2 | github-code | 13 |
18915488230 | given_list=[{'first':'1'},{'second':'2'},{'third':'1'},{'four':'5'},{'five':'5'},{'six':'9'},{'seven':'7'}]
i=0
req_list=[]
while i<len(given_list):
for item in given_list[i]:
value=given_list[i][item]
if value not in req_list:
req_list.append(value)
i+=1
print(req_list)
# how to imp... | gmswati/Dictionary_Meraki | Q7.py | Q7.py | py | 363 | python | en | code | 0 | github-code | 13 |
14386235805 | #
# @lc app=leetcode.cn id=144 lang=python3
#
# [144] 二叉树的前序遍历
#
from collections import deque
from typing import List
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
# @lc code=start
# Definition for a binary tree node.... | largomst/leetcode-problem-solution | 144.二叉树的前序遍历.2.py | 144.二叉树的前序遍历.2.py | py | 1,078 | python | en | code | 0 | github-code | 13 |
32986673794 | import PyPDF2
from openpyxl import Workbook
import os
workbook_stock = Workbook()
workbook_tax = Workbook()
# Select the active sheet
sheet_stock = workbook_stock.active
sheet_tax = workbook_tax.active
stock_feature=["Date","Order Number","Trade Number","Security/Contract Description","Buy/Sell","Qty"]
tax_feature=... | PonnaSrikar/collecting-data-from-pdf-of-stocks-and-tax-then-creating-elx-using-python | creating_app_for_shinde.py | creating_app_for_shinde.py | py | 1,761 | python | en | code | 0 | github-code | 13 |
20886800929 | from models.calcular import Calcular
def main() -> None:
pontos: int = 0 # Iniciando o jogo com 0 pontos.
jogar(pontos)
def jogar(pontos: int) -> None: # Função principal
# Recebendo a dificuldade do jogo
dificuldade: int = int(input("Informe o nível de dificuldade desejado [1, 2, 3 ou 4]:"))
... | ari-barbosa/Game-operacoesPy | game.py | game.py | py | 1,186 | python | pt | code | 1 | github-code | 13 |
31993684505 | # Criar pequenas listas para mostrar os elementos contidos nelas
lista_de_fruta = ['banana', 'maça', 'uva', 'abacate', 'laranja', 'limao', 'melao']
for frutas in lista_de_fruta:
print(frutas)
#Conte a quantidade de frutas na lista lista_de_frutas
contador = 0
for frutas in lista_de_fruta:
conta... | jemalicisou/Python-basico | estruturas_de_laco_python.py | estruturas_de_laco_python.py | py | 998 | python | pt | code | 0 | github-code | 13 |
24718332124 | import numpy as np
from scipy.stats import gamma
from matplotlib import pyplot as plt
import seaborn as sns
def m1(env_state):
return env_state["t"]
def m2(env_state):
time_since = list(reversed(env_state["rews"][:(env_state["t"]+1)])).index(env_state["rewsize"])
return time_since
def m3(env_state):
... | sternj98/patchForagingQLearning | integrators_demo.py | integrators_demo.py | py | 2,382 | python | en | code | 2 | github-code | 13 |
30933676745 | import numpy as np
import tensorflow as tf
class PolicyGradient:
def __init__(self, min_action, max_action, feature_size,
hidden_units=10, learning_rate=0.01, gamma=0.95, tf_log_dir=None):
self.min_action = min_action
self.max_action = max_action
self.feature_size = featur... | zengxy/rl_exercise | learner/PolicyGradient_Continuous.py | PolicyGradient_Continuous.py | py | 3,465 | python | en | code | 0 | github-code | 13 |
20244910544 | import sys
n=int(sys.stdin.readline())
s=[]
for i in range(n):
m=sys.stdin.readline().split()
if m[0]=='push':
s.append(m[1])
elif m[0]=='top':
print(s[-1] if s else -1)
elif m[0]=='pop':
print(s.pop() if s else -1)
elif m[0]=='size':
print(len(s))
elif m[0]=='empty':
print(0 if s else ... | chaeyeon-yang/Algorithm | new/datastructure/10828.py | 10828.py | py | 322 | python | en | code | 0 | github-code | 13 |
29807397956 | import fcntl
from pathlib import Path
lock_file_path = Path(Path('/tmp') / 'lyrebird.lock')
def place_lock():
'''
Places a lockfile file in the user's home directory to prevent
two instances of Lyrebird running at once.
Returns lock file to be closed before application close, if
`None` returned th... | lyrebird-voice-changer/lyrebird | app/core/lock.py | lock.py | py | 737 | python | en | code | 1,770 | github-code | 13 |
4818769380 | def dfs(k, graph, visited):
visited[k] = 1
for i in range(len(graph[k])):
if visited[i] == 0 and graph[k][i] == 1:
dfs(i, graph, visited)
def solution(n, computers):
visited = [0] * n
answer = 0
for i in range(n):
if visited[i] == 0:
dfs(i, computers, visite... | gilbutITbook/080338 | 12장/네트워크.py | 네트워크.py | py | 367 | python | en | code | 32 | github-code | 13 |
43084839642 | #
# @lc app=leetcode.cn id=653 lang=python3
#
# [653] 两数之和 IV - 输入 BST
#
# @lc code=start
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findTarget(se... | Guo-xuejian/leetcode-practice | 653.两数之和-iv-输入-bst.py | 653.两数之和-iv-输入-bst.py | py | 900 | python | en | code | 1 | github-code | 13 |
4555187047 |
import json
from datetime import datetime
from dashboard.models import Complaint, Notification, serialize
from dashboard.views.Customers import extractComplaintObj
from django.contrib.auth.decorators import login_required
from django.http import JsonResponse
from django.shortcuts import redirect
@login_required
def... | avisionx/fms-portal-iiitd | dashboard/views/Common.py | Common.py | py | 1,679 | python | en | code | 0 | github-code | 13 |
38424605822 | from models.template import *
class User(Template):
meta = {
'db_alias': 'youtube',
'collection': 'User'
}
index = {
"id": None
}
fields = {
"id": {"type": "string"},
"name": {"type": "string", "xpath": "//*[@id='text-container']"},
"subscriber_count... | t4iv0i/multiplatform_crawler | models/youtube/user.py | user.py | py | 1,033 | python | en | code | 1 | github-code | 13 |
18396323614 | ### SNEK GAME ###
# just another snek game
# -dsplayerX #
#
from tkinter import *
import random
# Game space parameters
GAME_WIDTH = 600
GAME_HEIGHT = 600
SPACE_SIZE = 30
# Starting snake size
BODY_PARTS = 3
# Snake speed parameters
START_SPEED = 120
MAX_SPEED = 20
SPEED_REDUCTION = 2
# Color values for background... | dsplayerX/Snek-Game | snek.py | snek.py | py | 6,295 | python | en | code | 0 | github-code | 13 |
2883610088 | from absl.testing import absltest
from absl.testing import parameterized
import flax
import jax
import numpy as np
from sam.sam_jax.models import load_model
class LoadModelTest(parameterized.TestCase):
# Parametrized because other models will be added in following CLs.
@parameterized.named_parameters(
('Wi... | google-research/sam | sam_jax/models/load_model_test.py | load_model_test.py | py | 1,617 | python | en | code | 492 | github-code | 13 |
25240501376 | from itertools import count as count_from
LANGUAGE = {
'А': 0, 'Б': 1, 'В': 2, 'Г': 3,
'Д': 4, 'Е': 5, 'Ж': 6, 'З': 7,
'И': 8, 'К': 9, 'Л': 10, 'М': 11,
'Н': 12, 'О': 13, 'П': 14, 'Р': 15,
'С': 16, 'Т': 17, 'У': 18, 'Ф': 19,
'Х': 20, 'Ц': 21, 'Ч': 22, 'Ш': 23,
'Щ': 24, 'Ъ': 25, 'Ы': 26, 'Ь'... | RMalsonR/Crypt | Block Ciphers/bigram_cipher_ports.py | bigram_cipher_ports.py | py | 2,304 | python | en | code | 0 | github-code | 13 |
8036345543 | #!/usr/bin/python3
""" Fewest coins for change"""
def makeChange(coins, total):
""" fewest number of coins to meet total """
if total <= 0:
return 0
coins.sort(reverse=True)
change = 0
for coin in coins:
if total <= 0:
break
remainder = total // coin
c... | Muna-Redi/alx-interview | 0x08-making_change/0-making_change.py | 0-making_change.py | py | 431 | python | en | code | 0 | github-code | 13 |
2055340453 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
arr = np.array([1,2,3,4,5])
print(arr)
print(type(arr))
#no different between tuple and list
arr = np.array((1, 2, 3, 4, 5))
print(arr)
print(type(arr))
#Scalar or 0-D arrays
scalar = np.array(42)
print(scalar)
print(type(scalar))... | hatimbenjebara/numpy_in_python | numpy_lib.py | numpy_lib.py | py | 13,365 | python | en | code | 1 | github-code | 13 |
2609945827 | from random import randint
b = randint(1, 6)
a = input("Do you want to roll the die: ")
while (a=="yes"):
b = randint(1, 6)
print("Dice rolling...")
print(b,"\n")
a = input("Do you want to roll the die: ")
print("Thanks for playing")
| Aadhithr/Personal | PythonWork/PythonCourse/homework/uses_random/diceSimulator.py | diceSimulator.py | py | 257 | python | en | code | 0 | github-code | 13 |
7067614679 | from draftfast.orm import Player
from typing import Optional
from copy import deepcopy
class ShowdownPlayer(Player):
def __init__(
self,
player: Player,
captain: bool = False,
pos: Optional[str] = None
):
for k, v in player.__dict__.items():
if hasattr(self,... | sam1rm/draftfast | draftfast/showdown/orm.py | orm.py | py | 1,406 | python | en | code | null | github-code | 13 |
22337977927 | #!/bin/env python
import random, redis
teams = ['ARG','BWS','BWS2','BGR','BRK','BSG','CLF','CLF2','EMM','GRS','GMR','HRS','HZW','MFG','MUC','PSC','PSC2','QEH','QMC','SEN','SEN2','TTN']
actor = redis.Redis(host='localhost',port=6379,db=0)
def game_points(score):
total = 0
total += int(score[2])
... | Scarzy/compd_test | scoremaker.py | scoremaker.py | py | 835 | python | en | code | 2 | github-code | 13 |
42855697480 | #!/usr/bin/env python3
import os
import time
import hashlib
from pathlib import Path
from functools import lru_cache
import logging
import fire
from tqdm import tqdm
import pandas as pd
import numpy as np
BASE_PATH = Path.cwd()
LOG_PATH = BASE_PATH / 'log'
LOG_PATH.mkdir(parents=True, exist_ok=True)
class Logger(ob... | rlditr23/RL-DITR | ts/datasets/pipe.py | pipe.py | py | 42,396 | python | en | code | 10 | github-code | 13 |
38390639103 | price=1000000
is_goodcredit=False
is_goodcredit=True
print(is_goodcredit)
if is_goodcredit:
print("Put down price by 10%")
#price=price-0.1*price
downpayment=0.1*price
price-=0.1*price
#print(price)
else:
print("Put down price by 20%")
# price=price-0.2*price
downpayment = 0.1 * price
... | NiyatiSinha-yb/PYTHON-Codes-By-Niyati-Sinha | Python Codes by NIYATI SINHA/app18.py | app18.py | py | 421 | python | en | code | 1 | github-code | 13 |
73370907856 | from tensorflow.keras.applications import ResNet50
from tensorflow.keras.applications.resnet import preprocess_input
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.applications import imagenet_utils
from imutils.object_detection import non_max_suppression
from detection_helper ... | BasitJaved/Object-Detection | Object-Detection-using-preTrained-CNN/detect_with_classifier.py | detect_with_classifier.py | py | 5,631 | python | en | code | 0 | github-code | 13 |
43261922442 | def main():
a = sorted(set(ai for ai, _ in AB))
a_dic = {a[i]: i+1 for i in range(len(a))}
b = sorted(set(bi for _, bi in AB))
b_dic = {b[i]: i+1 for i in range(len(b))}
for ai, bi in AB:
print(a_dic[ai], b_dic[bi])
return
if __name__ == '__main__':
H, W, N = map(int, input().spli... | Shirohi-git/AtCoder | abc211-/abc213_c.py | abc213_c.py | py | 398 | python | en | code | 2 | github-code | 13 |
13960225778 | from sqlalchemy import create_engine, text
db_connection_string = "mysql+pymysql://2tbapi8bc3m9cvx8pnww:pscale_pw_10YnHMfHSznFMKXdkv2uL0FzkGIzEKh9Dx9hyjKJmol@aws.connect.psdb.cloud/sdn_test01?charset=utf8mb4"
engine = create_engine(db_connection_string,
connect_args={"ssl": {
... | Thipekesh28/SDN_TESTCASE_01 | database.py | database.py | py | 586 | python | en | code | 0 | github-code | 13 |
23111651618 | from src.parsing.DataReader import DataReader
import os
import pickle
import datetime
PRECIPITATION_THRESHOLD = 1.25 # inches of precipitation
def compute_monthly_deviation():
# Load weather data
weather_pickle_path = os.path.join('data', 'serialized', 'weather_data_by_day.pkl')
weather_data = load_weat... | ReeseHatfield/DataDynamics | src/weather_analysis/computation/compute_monthly_deviation.py | compute_monthly_deviation.py | py | 4,166 | python | en | code | 0 | github-code | 13 |
27188594093 | import sys
input = sys.stdin.readline
A, B, C = map(int, input().split())
def find(A, B, C):
if B == 1:
return A % C
else:
s = find(A, B // 2, C)
if B % 2 == 0:
return s * s % C
else:
return s * s * A % C
print(find(A, B, C)) | Nam4o/Algorithm | 백준/Silver/1629. 곱셈/곱셈.py | 곱셈.py | py | 307 | python | en | code | 1 | github-code | 13 |
43261653442 | from heapq import heappop, heappush
def weighted_nearlist(N):
mat = [[-1] * N for _ in range(N)]
for a, b, c in abc:
if mat[a - 1][b - 1] > c or mat[a - 1][b - 1] < 0:
mat[a - 1][b - 1] = c
NEAR = [set() for _ in range(N)]
for i in range(n):
for j in range(n):
i... | Shirohi-git/AtCoder | abc191-/abc191_e.py | abc191_e.py | py | 1,176 | python | en | code | 2 | github-code | 13 |
10160033295 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv("data_tiempo.csv")
# Sin sdc
df_00 = df[df['prob_entrar'] == 0.2]
choque_normal_00 = 0
for i in range(df_00.shape[0]):
for choque in eval(df_00["datos_choques"][df_00.index[i]]):
max_velocity = max(choque[4],choque[1])... | Bony2002/TP_APN | plots/plot_2.py | plot_2.py | py | 3,743 | python | en | code | 0 | github-code | 13 |
34766394040 | import logging
import re
from abc import ABC
from piicatcher.log_mixin import LogMixin
from piicatcher.scanner import ColumnNameScanner, NERScanner, RegexScanner
from piicatcher.piitypes import PiiCategories
class NamedObject(ABC, LogMixin):
def __init__(self, name, include, exclude):
self._name = name
... | dm03514/piicatcher | piicatcher/explorer/metadata.py | metadata.py | py | 5,610 | python | en | code | null | github-code | 13 |
18659411184 | import boto3
import json
import yelp_fusion_api
import datetime
#api_key="-5dBnE7ZnbVw1RshcBve1t-Ayg00nnw4PEMj-in726bQM4jODmHTgdUKIEQXzKKgq4hrainJdwniItyA5tZOFg71e9yrEDuqa-tDoxlPpxxzFtQ20Jlr6AcSXRDlW3Yx"
API_HOST = 'https://api.yelp.com'
SEARCH_PATH = '/v3/businesses/search'
#details = {"area": "Manhattan", "time":... | dhruvarora2/Yelper | Backend/aws lambdas/vYelper-sqs_Handler/yelp_handler.py | yelp_handler.py | py | 2,386 | python | en | code | 0 | github-code | 13 |
6343660440 | import bs4
import requests
def getip():
try:
step = '0'
s = requests.get('https://2ip.ua/ua/')
step = '1'
b = bs4.BeautifulSoup(s.text, "html.parser")
step = '2'
a = b.select(" Ваша IP адреса")[0].getText()
step = '3'
a = a.strip()
... | NSWPro/AVIASTSStatus | myip.py | myip.py | py | 540 | python | ru | code | 0 | github-code | 13 |
18145777119 |
io = start()
exploit = f"%198$p"
io.sendline(exploit)
io.recvuntil(b"Your input is:")
io.recvline()
leaked_rbp = io.recvline(keepends=False)
rip= int(leaked_rbp, 16)-72
buf=b"%058038d%83$hn"+p64(rip)
io.sendline(buf) | aditya70/ss-course | parch/share/2.py | 2.py | py | 217 | python | en | code | 0 | github-code | 13 |
33759115361 | """Helpful functions for de-wedging research."""
import itertools
import logging
import os
import numpy as np
from astropy import constants
def get_coverage(antpos, freqs, bin_edges=None, mode="u"):
"""
Determine the number of baselines that sample each mode.
Unless bin edges for an array of u(vw)-modes... | HERA-Team/hera_sandbox | rfp/scripts/dewedge/utils.py | utils.py | py | 5,062 | python | en | code | 1 | github-code | 13 |
28892475070 | from batchrunner import BatchRunnerMP
from model import BeeEvolutionModel
from agents import *
import argparse
import pickle
def main():
"""
This function should run the model for the global sensitivity anlysis, using the datafile
variable_parameters.pickle.
In that file there are all the set of parameters produ... | AnkurSatya/uva_abm_bumblebee | bumblebee_evolution/batch_run.py | batch_run.py | py | 1,140 | python | en | code | 1 | github-code | 13 |
808942212 | """Trains and evaluates a given model.
Also constructs Kaggle submissions, and save various plots (e.g. confusion
matrix, learning curve) and pickled models to files with a unique id.
"""
import argparse
import numpy as np
import pandas as pd
from keras.utils import to_categorical
import matplotlib.pyplot as plt
from... | christabella/music-genre-classification | classifiers.py | classifiers.py | py | 6,740 | python | en | code | 0 | github-code | 13 |
21254109776 | class Solution:
# @param A : list of list of integers
# @param B : integer
# @return an integer
def solve(self, A, B):
n = len(A)
m = len(A[0])
h = []
for i in range(n):
for j in range(m):
if len(h) < B:
h.append(A[i][j])
... | sundar91/dsa | Heap/Bth-smallest-element.py | Bth-smallest-element.py | py | 1,329 | python | en | code | 0 | github-code | 13 |
74429731217 | import Preprocess as pp
import re
import nltk
from nltk.corpus import stopwords
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.ensemble import RandomForestClassifier
import pandas as pd
import numpy as np
def reviewsToWords(review):
letters_only = re.sub("[^a-zA-Z]", # The pattern to... | Eimisas/Sentimental-analysis | Code/Random forest/BagOfWords.py | BagOfWords.py | py | 3,613 | python | en | code | 0 | github-code | 13 |
9368008419 | import asyncio
import aiohttp_cors
from aiohttp import web
from routes import setup_routes
from settings import load_configuration
def set_cors(app):
# Configure default CORS settings.
cors = aiohttp_cors.setup(app, defaults={
"*": aiohttp_cors.ResourceOptions(
allow_credentials=True,
... | jindada1/Relaxion | main.py | main.py | py | 1,199 | python | en | code | 5 | github-code | 13 |
10511718601 | from mod_python import apache, Session
from mod_python import util
from xml.dom.minidom import getDOMImplementation, parse, parseString
import urllib
#tutkitaan, onko sivulle tulija kirjautunut vai ei
#näytetään kirjautumissivu, jos ei
def handler(req):
try:
if req.session["kirjautunut"] == "ok":
... | helireki/TIEA218-15 | demo4/autentikointi.py | autentikointi.py | py | 1,500 | python | fi | code | 0 | github-code | 13 |
41149702163 | # Third-party libraries
import os
import numpy as np
# Set paths to folders
def set_paths():
# Path to the output folder
work_dir = '../work/'
if not os.path.exists(work_dir):
sys.exit('WORKING FOLDER DOES NOT EXIST!')
# Path to the data directory
data_dir = work_dir + 'data/... | aiskhak/NN_PDE | CS1/inout.py | inout.py | py | 2,751 | python | en | code | 0 | github-code | 13 |
39575906903 | my_array = []
def helper(n, target, index, temp_arr, temp_sum):
# print(temp_sum, temp_arr)
if temp_sum == target:
my_array.append(temp_arr.copy())
return
if index == len(n):
return
if temp_sum > target:
return
temp_arr.append(n[index])
temp_sum += n[index]
... | KillerStrike17/CP-Journey | Codein10/BackTracking/Combination_sum_II.py | Combination_sum_II.py | py | 841 | python | en | code | 0 | github-code | 13 |
29208173553 | '''
Python module dependencies:
biopython==1.63
fastcluster==1.1.13
numpy==1.7.1
python-Levenshtein==0.11.2
scipy==0.12.0
Under Ubuntu, scipy, numpy and biopython can be installed as:
sudo apt-get install python-biopython python-numpy python-scipy
fastcluster and python-Levenshtein can be installed using pip:
pip ... | SuLab/Antibody-Clustering-Challenge | original_python_code.py | original_python_code.py | py | 8,052 | python | en | code | 1 | github-code | 13 |
11069452254 | from bson import ObjectId
import uuid
import sqlalchemy as db
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import relationship, synonym
__all__ = [
'MongoReference',
'MongoEmbedded',
'MongoEmbeddedList',
'Base',
'UserBase',... | closeio/flask-common | flask_common/db.py | db.py | py | 3,814 | python | en | code | 26 | github-code | 13 |
70730835219 | W_str = r"W" + r"\rightarrow" + r"l" + r"\nu_{l}"
Z_str = r"Z" + r"\rightarrow" + r"l^{+}" + r"l^{-}"
ttbar_str = r"t" + r"\bar{t}"
config = {
"Luminosity": 10064,
"InputDirectory": "results",
"Histograms" : {
"WtMass" : {},
"etmiss" : {},
"lep_n" : {},
"lep_pt" ... | jegarcian/hep-ml | createImages/Configurations/PlotConf_TTbarAnalysis.py | PlotConf_TTbarAnalysis.py | py | 2,385 | python | en | code | 0 | github-code | 13 |
21521017043 | from model import kwsmodel
import os
import tensorflow as tf
from tqdm import tqdm
from tensorflow.keras import optimizers
from dataloader import train_iterator
from utils import *
def train_step(model, images, labels, optimizer):
with tf.GradientTape() as tape:
prediction = model(images, tra... | yuyun2000/kws | train.py | train.py | py | 2,599 | python | en | code | 1 | github-code | 13 |
29188020072 | import numpy as np
class StateSpace:
# Classical canonical state space time simulation
def __init__(self, n=0, p=0, q=0):
self.n = n
self.p = p
self.q = q
self.u = np.zeros(shape=p)
self.A = np.zeros(shape=(n, n))
self.B = np.zeros(shape=(n, p))
self.C ... | davegutz/myStateOfCharge | SOC_Particle/Battery State/EKF/sandbox/StateSpace.py | StateSpace.py | py | 4,669 | python | en | code | 1 | github-code | 13 |
11148196810 | from curses import raw
import pytest
from unittest.mock import Mock, patch
import json
import numpy as np
from copy import deepcopy
from uuid import uuid4
import tasks.cluster_texts as clusterer
from tasks.cluster_texts import KeywordItem
from tests.data.fixtures import (
CLUSTERED_DATA,
NESTED_DATA,
MULTI... | visda-app/service-mapping | tests/tasks/test_clusterer.py | test_clusterer.py | py | 5,866 | python | en | code | 0 | github-code | 13 |
1228993977 | import urllib.request, urllib.parse, urllib.error
import json
# Resets calls to 0 if worldclockapi indicates new day
def check(current, calls):
# Connect with worldclockapi
url = 'http://worldclockapi.com/api/json/est/now'
doc = urllib.request.urlopen(url)
data = doc.read().decode()
# Create JSON o... | aidenszeto/Dictionary-Bot | timer.py | timer.py | py | 940 | python | en | code | 2 | github-code | 13 |
39686495582 | """Test case."""
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
import sys
import traceback
import unittest
from eql import Schema
from eql.ast import * # noqa: F403
from eql.errors import EqlSchemaError, EqlSyntaxError, EqlSemanticError, EqlTypeMismatchError, EqlParseError
from eql.p... | endgameinc/eql | tests/test_parser.py | test_parser.py | py | 39,771 | python | en | code | 203 | github-code | 13 |
41410155928 | #import pandas as pd
import matplotlib.pyplot as plt
def bubbleSort(lista, listaCount):
for i in range(len(lista)):
for j in range(len(lista)):
if int(lista[int(i)]) < int(lista[int(j)]):
lista[int(i)], lista[int(j)] = lista[int(j)], lista[int(i)]
listaCount[int(... | BrunoViotto18/Bosch | 1 - Python/Aula 76 - 20_12_2021 - REVISÃO PYTHON/Revisão - SemiCópia/ExercicioEdjalma.py | ExercicioEdjalma.py | py | 3,216 | python | pt | code | 0 | github-code | 13 |
5293963074 | import pickle
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
def plot_result(fin_data_df, titulo, columna, y_label, idx, per_long=730):
x = fin_data_df['Dates'][idx:idx+per_long]
y = fin_data_df.iloc[idx:idx+per_long, columna]
plt.figure(figsize=(8, 6))
plt.plot(x, y, ... | falamo1969/AgenteInversionTFM | graficos.py | graficos.py | py | 1,192 | python | en | code | 0 | github-code | 13 |
16007318470 | import torch
import numpy as np
import nimblephysics as nimble
from solver.envs.rigidbody3d.r3d_pickup import PickUp
from solver.train_rpg import Trainer
from solver.envs.rigidbody3d.hooks import print_gpu_usage, record_rollout
from solver.envs.rigidbody2d.hooks import save_traj
from solver.envs.rigidbody3d.utils impor... | haosulab/RPG | solver/envs/rigidbody3d/r3d_pick3cube.py | r3d_pick3cube.py | py | 7,681 | python | en | code | 18 | github-code | 13 |
70061790099 | import sys
from socket import *
import zlib
# There is no need for Bob to detect end of transmission and terminate. If you need to
# manually terminate it, press <Ctrl> + c.
#Algorithm planning
#Global variables are here and initialised
clientAddress = 0
serverPort = int(sys.argv[1]) #Get the arguments
bobSocke... | Deunitato/CS2105_Assignments | meh/Bob.py | Bob.py | py | 4,334 | python | en | code | 0 | github-code | 13 |
29113393906 | def divide_errors(y_pred, y_test):
wrong_indices = {}
for i, (pred, ans) in enumerate(zip(y_pred, y_test)):
if pred != ans:
wrong_indices.setdefault(f"{ans}-{pred}", [])
wrong_indices[f"{ans}-{pred}"].append(i)
return wrong_indices
def count_pred_labels(y): # count each ro... | Kumamoto-Hamachi/knn_projects | divide.py | divide.py | py | 939 | python | en | code | 1 | github-code | 13 |
44625095981 | import numpy as np
from torch.utils.data import Dataset
import os
from PIL import Image as Image
import random
import torch
def random_crop(lr, hr, size, scale):
lr_left = random.randint(0, lr.shape[1] - size)
lr_right = lr_left + size
lr_top = random.randint(0, lr.shape[0] - size)
lr_bottom = lr_top ... | bigbye/RDN-SISR | code/custom_datasets.py | custom_datasets.py | py | 3,002 | python | en | code | 1 | github-code | 13 |
28905282158 | #! /usr/bin/python
# -*- coding: utf-8 -*-
import re,string
#import data_structure
def Save(lineid,sub,dec,output_file):
new_line = str(lineid) + "/dec:" + dec
for s in sub:
if not s[1] == "-":
input_sub = s[1] #主語
else:
input_sub = "-"
new_line = new_line + ",... | pauwau/workspace | knp_distance/text_to_frame/ex_relates.py | ex_relates.py | py | 1,748 | python | en | code | 0 | github-code | 13 |
613750536 | #!/usr/bin/env python3
#coding: utf8
import lib
import numpy as np
import matplotlib.pyplot as plt
def delta(x,x0,N=1):
'''
should only be used on-grid. Implementation of the Dirac-delta.
'''
return N*np.isclose(x,x0)
class initialValues:
'''
Just a storage for initial values. Can be used in ... | alcubierre-drive/NTNU-TFY4235-2018 | Assignments/PartialDifferentialEquations/helpers.py | helpers.py | py | 3,942 | python | en | code | 0 | github-code | 13 |
32406715272 | import argparse
import rospkg
import json
import cv2
import numpy as np
import os.path
class mapDetails:
def __init__(self, args):
self.shelves = list()
self.shelves_h = list()
self.capture_stops = list()
rospack = rospkg.RosPack()
base_path = rospack.get_path('storeplanner')
map_filename ... | vrai-group/storeplanner | scripts/map_details.py | map_details.py | py | 4,227 | python | en | code | 0 | github-code | 13 |
36115388685 | import cv2
import numpy as np
def translate(img, translation, target_size=None):
'''
Translates an image by a particular amount.
translation: x, y
target_size: w, h
'''
tx, ty = translation
translation_matrix = np.float32([ [1,0,tx], [0,1,ty]])
return _warp_affine(img, translation_mat... | carnotresearch/cr-vision | src/cr/vision/geom/projective2d_actions.py | projective2d_actions.py | py | 1,825 | python | en | code | 2 | github-code | 13 |
10006307763 | #!/usr/bin/python2
'''
DAVID LETTIER
(C) 2016.
http://www.lettier.com/
Slackotron
'''
import sys
import os
import subprocess
import signal
import time
execfile(
'../bin/activate_this.py',
dict(__file__='../bin/activate_this.py')
)
ENV = os.environ.copy()
ENV['PYTHONPATH'] = ":".join(sys.path)
SLA... | lettier/slackotron | run.py | run.py | py | 580 | python | en | code | 16 | github-code | 13 |
30918365173 | # https://gist.github.com/NikolayOskolkov/277d65621267658e71d06eb59b577e44#file-autoencoderciteseq-py
# Input Layer
ncol_scRNAseq = X_scRNAseq.shape[1]
input_dim_scRNAseq = Input(shape = (ncol_scRNAseq, ), name = "scRNAseq")
ncol_scProteomics = X_scProteomics.shape[1]
input_dim_scProteomics = Input(shape = (ncol_sc... | zkxshg/Test_of_machine_learning | cite_AutoencoderCITEseq.py | cite_AutoencoderCITEseq.py | py | 2,012 | python | en | code | 0 | github-code | 13 |
19602662290 | import json
from rediscluster import RedisCluster
import redis
import os
#rc = RedisCluster(host=os.getenv('REDIS'), port=6379, decode_responses=True)
rc = redis.Redis(host=os.getenv('REDIS'), port=6379, decode_responses=True)
def initExclude():
"""Add the defualt list to redis"""
# Opening JSON file
f... | mantiser-com/finder-email | exclude/initExclude.py | initExclude.py | py | 863 | python | en | code | 0 | github-code | 13 |
72678372498 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import logging
import torch
import torch.nn as nn
import numpy
# from DCNv2 import dcn_v2_conv, DCNv2, DCN
# from DCNv2 import dcn_v2_pooling, DCNv2Pooling, DCNPooling
# import layers.ConvOffset2D
... | chenrobin/DVLPose- | lib/models/deformation.py | deformation.py | py | 17,661 | python | en | code | 0 | github-code | 13 |
17092790154 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.OperatorBaseInfo import OperatorBaseInfo
class KoubeiMerchantOperatorSearchQueryResponse(AlipayResponse):
def __init__(self):
super(KoubeiMerchantOperato... | alipay/alipay-sdk-python-all | alipay/aop/api/response/KoubeiMerchantOperatorSearchQueryResponse.py | KoubeiMerchantOperatorSearchQueryResponse.py | py | 1,360 | python | en | code | 241 | github-code | 13 |
15939874987 | import ctypes.wintypes
from pathlib import Path
from typing import Union
import aiofiles
def align(_string, _length, _type='L') -> str:
"""
Look at https://www.jianshu.com/p/74500b7dc278
中英文混合字符串对齐函数
:param _string:[str]需要对齐的字符串
:param _length:[int]对齐长度
:param _type:[str]对齐方式（'L'：默认，左对齐；'R'... | Senvlin/AnimeCrawler | AnimeCrawler/utils/file.py | file.py | py | 2,917 | python | en | code | 1 | github-code | 13 |
38006098118 |
### configure trigger filters
if len(primRPVLLDESDM.VH_DV_triggerFilterFlags.TriggerNames) == 0:
if rec.triggerStream() == "Egamma":
primRPVLLDESDM.VH_DV_triggerFilterFlags.TriggerNames = primRPVLLDESDM.VH_DV_triggerFilterFlags.EgammaTriggerNames
elif rec.triggerStream() == "JetTauEtmiss":
prim... | rushioda/PIXELVALID_athena | athena/PhysicsAnalysis/SUSYPhys/LongLivedParticleDPDMaker/share/PhysDESDM_VH_DV.py | PhysDESDM_VH_DV.py | py | 9,185 | python | en | code | 1 | github-code | 13 |
7159983981 | from django.http import HttpResponse
from django.shortcuts import render
#from conf import access_token,refresh_token
from codechef_mayukh45.MAIN import get_college
import sys
#username = ""
#friends = []
own_college = 0
friends_college = 0
import time
def index(request):
global own_college
global friends_c... | mayukh45/Ranklist_App | codechef_mayukh45/creation/views.py | views.py | py | 1,999 | python | en | code | 0 | github-code | 13 |
1590015 | from collections import deque
def bfs(graph: dict[int, list[int]], start: int) -> list[int]:
"""
V = number of vertices in the graph
E = number of edges in the graph
-------------
Time: O(V + E)
Space: O(V)
"""
q = deque([start])
visited = {start}
res = []
while q:
... | ironwolf-2000/Algorithms | Graphs/Traversals/BFS/bfs.py | bfs.py | py | 708 | python | en | code | 2 | github-code | 13 |
2244821279 | """
Overview
========
This plugin attempt to set the actual project attribute
for the current AreaVi instance. It tries to find
project folders like .git, .svn, .hg or a ._ that's
a vy project file.
"""
from os.path import exists, dirname, join
from vyapp.stderr import printd
def get_sentinel_file(path, *args):
... | vyapp/vy | vyapp/plugins/project.py | project.py | py | 1,236 | python | en | code | 1,145 | github-code | 13 |
23015863407 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
class WeatherPipeline(object):
def open_... | leng-bing-bing/homework | 6/weather/weather/pipelines.py | pipelines.py | py | 1,045 | python | en | code | 1 | github-code | 13 |
70161175699 | from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Type, Tuple
import discord
from difflib import get_close_matches
from disputils import BotMultipleChoice
class OSBcmd(ABC):
"""
Command Patter Interface.
"""
@abstractmethod
async def execute(self, **kwar... | jarrett-m/OnStudy_Bot | source/osb_commands.py | osb_commands.py | py | 3,281 | python | en | code | 0 | github-code | 13 |
5832468796 | #!/usr/bin/env python
# coding: utf-8
# This reads from HD5 files and sends over network.
# This file sends drone position data over a server as x, y, z by sending at the right timestamp.
# Change the HOST and PORT variables accordingly.
import h5py
import numpy as np
import math
import struct
import time
import sock... | immersive-command-system/RadiationVisualization | LBL/GeneratePosData.py | GeneratePosData.py | py | 1,666 | python | en | code | 3 | github-code | 13 |
10844205105 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Assignment in BMP course - Program Mapping Table parser
Author: Jakub Lukac
E-mail: xlukac09@stud.fit.vutbr.cz
Created: 22-10-2019
Testing: python3.6
"""
import sys
from descriptor import parse_descriptors
from psi import PSI
class PMT(PSI):
def ... | cubolu/School-Projects | Python/BMS/dvb-t/pmt.py | pmt.py | py | 4,701 | python | en | code | 0 | github-code | 13 |
14530341692 | import pandas as pd
import networkx as nx
import numpy as np
import time
def build_year(year):
print('start')
file_read = 'pruned_data/pruned_data_{}.csv'.format(year)
df_actual = pd.read_csv(file_read)
# reformat so triangle generator can differentiate
df_actual['defense'] = 'Defense_' + df_actu... | abeard1/IndependentStudy | src/build_df_possibles.py | build_df_possibles.py | py | 2,229 | python | en | code | 0 | github-code | 13 |
6991250955 | import pandas as pd
import numpy as np
data = pd.read_csv("raions.csv")
cat = ["young_", "work_", "ekder_"]
man = ["all", "male", "female"]
tar = "raion_popul"
for i in cat:
for j in man:
data[i + j] = data[i + j] / data[tar]
data.to_csv("raions_popul_percentaged.csv", index=None)
| ZiyaoLi/KaggleSberbank | codes_and_preprocessed_data/preproc_&_feature_eng_codes/cnt2pct_raion_popul.py | cnt2pct_raion_popul.py | py | 298 | python | en | code | 0 | github-code | 13 |
27563472500 | #############################################
# CSC 242 Section 602 Spring 2017
# Lab 3: User-defined classes
#
# LEXUS NGUYEN
#
# Fill in the 4 methods below. Also,
# be sure to define the distance method
# in the Point class (in the point.py file)
#############################################
from point ... | nguyenlexus/work | CSC242/triangle.py | triangle.py | py | 1,764 | python | en | code | 0 | github-code | 13 |
37502785864 | """
@author: Hayeon Lee
2020/02/19
Script for downloading, and reorganizing CUB few shot
Run this file as follows:
python get_data.py
"""
import pickle
import os
import numpy as np
from tqdm import tqdm
import requests
import tarfile
from PIL import Image
import glob
import shutil
import pickle
def download_file(... | YuanWanglll/l2b | data/cub/get_data.py | get_data.py | py | 2,652 | python | en | code | null | github-code | 13 |
9984220361 | # -*- coding: utf-8 -*-
###############################################
#created by : lxy
#Time: 2018/06/28 14:09
#project: Face recognize
#company: Senscape
#rversion: 0.1
#tool: python 2.7
#modified:
#description opencv face detector
####################################################
import os
import sys
impo... | jimeffry/face-anti-spoofing | src/face_test/Detector.py | Detector.py | py | 9,170 | python | en | code | 37 | github-code | 13 |
74005965139 | import importlib
import logging
from collections import defaultdict
from axel import Event
from hmcs import config
log = logging.getLogger(__name__)
class PluginManager():
def __init__(self):
self.system_init = Event()
self.socket_event_received = Event()
self.socket_event_received += se... | Flid/hmcs | server/hmcs/plugins/base.py | base.py | py | 1,682 | python | en | code | 0 | github-code | 13 |
6693206925 | class Solution:
def sortArrayByParity(self, nums: List[int]) -> List[int]:
l = []
r = []
for x in nums:
if x % 2 == 0:
l.append(x)
else:
r.append(x)
return l + r | weastur/leetcode | 941-sort-array-by-parity/main.py | main.py | py | 253 | python | en | code | 0 | github-code | 13 |
37862132113 | import numpy as np
from PyAstronomy.pyaC import pyaErrors as PE
class BallesterosBV_T:
"""
Black-body based conversion between effective temperature and B-V color.
Ballesteros 2012 (EPL 97, 34008) present a conversion between
effective temperature and B-V color index based on a black body
spectr... | sczesla/PyAstronomy | src/pyasl/asl/aslExt_1/ballesterosBV_T.py | ballesterosBV_T.py | py | 1,647 | python | en | code | 134 | github-code | 13 |
40242623492 | '''
lets say we have 2 arrays a1 = [a,b] and a2 = [c,d]
Intervals can be merged if a1[0] < a2[0] => this is acheived by sorting the intervals
Intervals can be merged if a2[0] < a1[1]
'''
class Solution:
def merge(self, intervals):
intervals.sort(key =lambda x: x[0])
merged = []
for i in int... | ltoco/DSA | merge_intervals.py | merge_intervals.py | py | 986 | python | en | code | 0 | github-code | 13 |
27227523674 | from model.contact import Contact
import re
class ContactHelper:
def __init__(self, app):
self.app = app
def change_field_value(self, field_name, text):
wd = self.app.wd
if text is not None:
wd.find_element_by_name(field_name).click()
wd.find_element_by_name(f... | AlexGraf71/test_python | fixture/contact.py | contact.py | py | 5,085 | python | en | code | 0 | github-code | 13 |
29187517042 | # Using sockets to transfer data between Ren'Py and MASM
# TODO: Ping-Pong alive check messages
import json
import time
import socket
import threading
class MASM:
data = {}
commThread = None
serverSocket = None
commRun = threading.Event()
commLock = threading.Lock()
@staticmethod
def _startThread():
MASM._co... | DatCaptainHorse/MAS-Additions | Submods/MAS Additions/MASM/scripts/socketer.py | socketer.py | py | 2,797 | python | en | code | 17 | github-code | 13 |
43254452311 | # import sys
#
# sys.stdin = open('김병완_2579_계단오르기.txt', 'r')
#
N = int(input())
# stair = []
# for i in range(N):
# stair.append(int(input()))
#
# dp = []
# dp.append(stair[0])
# dp.append(max(stair[0] + stair[1], stair[1]))
# dp.append(max(stair[0] + stair[2], stair[1] + stair[2]))
#
# for j in range(3, N):
# ... | KimSoomae/Algoshipda | week2(dp)/0915WED/김병완_2579_계단오르기_S3.py | 김병완_2579_계단오르기_S3.py | py | 736 | python | en | code | 0 | github-code | 13 |
17061306394 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class VehModelDto(object):
def __init__(self):
self._acid = None
self._body_type = None
self._brand_id = None
self._brand_logo_url = None
self._brand_name = None... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/VehModelDto.py | VehModelDto.py | py | 17,811 | python | en | code | 241 | github-code | 13 |
5661290639 | import numpy as np
from scipy import constants
from mantid.geometry import CrystalStructure, ReflectionGenerator, ReflectionConditionFilter
from mslice.models.labels import is_momentum, is_twotheta
from mslice.models.workspacemanager.workspace_provider import get_workspace_handle
from mslice.util.mantid.mantid_algor... | mantidproject/mslice | src/mslice/models/powder/powder_functions.py | powder_functions.py | py | 2,795 | python | en | code | 1 | github-code | 13 |
43356236537 | data = input()
result = int(data[0])
for i in range(1, len(data)):
num = int(data[i])
if result <= 1 or num <= 1: # 두 수 중 하나라도 1 이하의 수라면 더하기 수행
result += num
else:
result *= num
print(result)
| tr0up2r/coding-test | greedy_algorithms/023_mul_or_add.py | 023_mul_or_add.py | py | 259 | python | ko | code | 0 | github-code | 13 |
31418984932 | #
#
# Copyright (C) University of Melbourne 2012
#
#
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify... | zarppy/MUREIL_2014 | test_regression/ge_test.py | ge_test.py | py | 3,072 | python | en | code | 0 | github-code | 13 |
32799560271 | import os
from python.request.endpoint.EndpointUtils import EndpointType
from python.utils import ConfigUtils
# Class handling the creation of Endpoint objects
# In particular, it manages the corresponding urls depending on each endpoint type
class EndPointGenerator:
def __init__(self, flask_port):
... | EVOLVED-5G/ImmersionNetApp | src/python/request/endpoint/EndPointGenerator.py | EndPointGenerator.py | py | 1,904 | python | en | code | 0 | github-code | 13 |
22787953051 | # Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
# 递归超时
class Solution(object):
def rob(self, root):
if root is None:
return 0
left_sum = 0
if root.left ... | lmb633/leetcode | 337rob.py | 337rob.py | py | 2,012 | python | en | code | 0 | github-code | 13 |
5186419565 | import cv2
import numpy as np
img = cv2.imread('im.jpg',0)
kernel = np.ones((5,5),np.uint8)
# Erosion
erosion = cv2.erode(img,kernel,iterations = 1)
compare_ero = np.hstack((img,erosion))
cv2.imshow('Erosion',compare_ero)
cv2.imwrite('Erosion.jpg',erosion)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Dilat... | PimKanjana/Morphological-Filters | morpho.py | morpho.py | py | 2,321 | python | en | code | 0 | github-code | 13 |
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