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19242121480 | import numpy as np
import torch
import cv2
import time
import copy
from trackron.structures.tracklet import Tracklet, BaseTrack, TrackState
from trackron.data.utils import resize_image, sample_target_brpadding, normalize_boxes
from .utils.matching import ious, iou_distance, linear_assignment, fuse_score
from .build ... | Flowerfan/Trackron | trackron/trackers/bytetracker.py | bytetracker.py | py | 12,904 | python | en | code | 46 | github-code | 13 |
28109666320 | import torch
import math
# from idr import connection
from torchvision.datasets.vision import VisionDataset
from torchvision.transforms import ToTensor
import numpy as np
from torch.utils.data import Dataset, DataLoader
from torchvision.transforms import ToTensor
import matplotlib.pyplot as plt
from torchvision.datase... | BioImage-Archive/ai_data | bia_vision/utils.py | utils.py | py | 1,699 | python | en | code | 0 | github-code | 13 |
40672541985 | import glob
import json
import logging
import os
import random
import sys
import numpy as np
import torch
from sklearn.model_selection import train_test_split
from torch.utils.data import DataLoader, SequentialSampler, TensorDataset, ConcatDataset
from tqdm import tqdm
from transformers import (
WEIGHTS_NAME,
... | mourga/transformer-uncertainty | main_transformer.py | main_transformer.py | py | 52,365 | python | en | code | 37 | github-code | 13 |
6999449973 | import logging
import time
from enum import Enum
from typing import Any, Dict, List, Iterable, Iterator, Optional
from typing import Union, Tuple
import requests
from requests import HTTPError
from requests.auth import HTTPBasicAuth
Auth = Union[requests.auth.AuthBase, Tuple[str, str]]
Verify = Union[bool, str]
LOGG... | itnoobzzy/EasyAirflow | plugins/hooks/LivyBatches.py | LivyBatches.py | py | 15,663 | python | en | code | 0 | github-code | 13 |
17592791124 | # This is 0 1 Knapsack Using recurssion and Top Down Approach
'''
Example :
Input :
n = 3
W = 4
val[] = {1,2,3}
wt[] = {4,5,1}
Output : 3
'''
def knapSack_Top_Down(self,W, wt, val, n):
t=[ [ 0 for i in range(W+1) ] for j in range(len(wt)+1) ]
for i in range(1,len(t)):
for j in range(1,len(t[0]))... | Mukesh-kanna/python-content-repo | knapsack_0_1.py | knapsack_0_1.py | py | 830 | python | en | code | 0 | github-code | 13 |
28541742109 | import time
import board
import busio
import adafruit_tcs34725
# 初始化I2C对象
I2C = busio.I2C(board.SCL, board.SDA)
# 创建一个tcs34725对象
tcs34725 = adafruit_tcs34725.TCS34725(I2C)
# 打印读取到的范围
def tcs34725_detect():
while True:
# 读取传感器的颜色、色温和照度
color = tcs34725.color_rgb_bytes
temp = tcs34725.co... | cocpy/raspberrypi4 | 第8章/5/tcs34725.py | tcs34725.py | py | 729 | python | en | code | 0 | github-code | 13 |
5759056191 | import numpy as np
import matplotlib.pyplot as plt
class K_Mean_Algorithm:
def __init__(self, k, epochs):
self.k = k
self.epochs = epochs
def train(self, S_x, S_y):
# To define clusters, need to know the range
max_X, min_X = np.max(S_x), np.min(S_x)
max_Y, min_Y = np.max(S_y), np.min(S_y)
# Cl... | SalihFurkan/KMeanAlgorithm | K_mean_Algorithm.py | K_mean_Algorithm.py | py | 1,700 | python | en | code | 0 | github-code | 13 |
70195468818 | import threading
class StoppableThread(threading.Thread):
def __init__(self, *args, **kwargs):
self._stop_event = kwargs.pop("stop_event", None)
if self._stop_event is None:
self._stop_event = threading.Event()
super(StoppableThread, self).__init__(*args, **kwargs)
def st... | bennihepp/pybh | pybh/thread_utils.py | thread_utils.py | py | 3,573 | python | en | code | 0 | github-code | 13 |
6366358576 | import math
from station_logic.train_station import TrainStation
from train_logic.train import Train
from train_logic.train_state import TrainState
class Entrepot(TrainStation):
""" Entrepot station where oil is unloaded """
def __init__(self,
station_name: str,
oil_volume:... | Bumstern/train_simulator | station_logic/entrepot.py | entrepot.py | py | 9,413 | python | en | code | 0 | github-code | 13 |
2913477351 | import pytesseract
import cv2
from PIL import Image
import os
import logging
if os.name == 'nt':
TESSERACT_PATH = "C:/Users/soludev5/AppData/Local/Programs/Tesseract-OCR/tesseract.exe" # <------ /!\ CHANGE THIS /!\
pytesseract.pytesseract.tesseract_cmd = TESSERACT_PATH
NUMBER_OF_IMAGE_IN_CAPTCHA = 4
def extract... | Xaalek/IkabotCaptchaSolver | SolveCaptcha.py | SolveCaptcha.py | py | 3,622 | python | en | code | 3 | github-code | 13 |
42166473750 | import time, pytest
import sys,os
sys.path.insert(1,os.path.abspath(os.path.join(os.path.dirname( __file__ ),'..','..','lib')))
from clsCommon import Common
import clsTestService
from localSettings import *
import localSettings
from utilityTestFunc import *
import enums
class Test:
#=========================... | NadyaDi/kms-automation | web/tests/HomePage/test_1573.py | test_1573.py | py | 10,161 | python | en | code | 0 | github-code | 13 |
29673427 | def fatorial(num):
calc = 1
cont = int(num)
for i in range(1, cont+1):
calc *= i*1
return calc
def super_fatorial(num):
cont = int(num)
superFatorial = 1
for c in range(0, cont+1):
superFatorial *= fatorial(c)
return superFatorial
num = input(' digite um numero: ... | Sancheslipe/atividades_python_basico_ao_avancado_secao_08 | ex36.py | ex36.py | py | 435 | python | en | code | 0 | github-code | 13 |
6549130628 | # -*- coding: utf-8 -*-
# Extension by Lionel Chalet
from docutils import nodes
from docutils.parsers.rst import Directive
from sphinx.errors import SphinxError
import os, sys, copy, hashlib, random
__version__ = '0.1'
question_number = 0
alternative_number = 0
language = 'en'
translations = {
'fr':... | obonaventure/cnp3 | book-2nd/mcq-ex/mcq/mcq.py | mcq.py | py | 15,086 | python | en | code | 500 | github-code | 13 |
16179911565 | import mdtraj as md
import numpy as np
from mdtraj.geometry.alignment import rmsd_qcp, compute_average_structure
from mdtraj.testing import eq
np.random.seed(52)
def test_trajectory_rmsd(get_fn):
t = md.load(get_fn('traj.h5'))
for parallel in [True, False]:
calculated = md.rmsd(t, t, 0, parallel=para... | mdtraj/mdtraj | tests/test_rmsd.py | test_rmsd.py | py | 7,876 | python | en | code | 505 | github-code | 13 |
23372452389 | import sys
sys.path.append('../../')
from slm.slm_classifier import SLMClassifier
from numpy import vstack, log
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelBinarizer
from sklearn.utils.validation import check_X_y, column_or_1d
from common.metrics import METRICS_DICT
fro... | OnHoliday/DSLM_NOVA | dslm_new/algorithm/deep_semantic_learning_machine/deep_semantic_learning_machine_app.py | deep_semantic_learning_machine_app.py | py | 12,701 | python | en | code | 0 | github-code | 13 |
86407521210 | """
data:2017-7-10
author:alancheg
本程序的主要作用是计算 kmeans 聚类后的数据中心点
输入：需要聚类的内容，聚类的中心点个数
输出：聚类的中心点坐标
"""
import csv
from sklearn.cluster import KMeans
import numpy as np
from time import time
CLUSTER_CENTER = 8
# 数据的格式
# img_name,feature_name,feature_num,cor_x,cor_y
def data_generate(path):
# 生成标准的位置信息
data = []... | alancheg/VideoIndex | data_cluster.py | data_cluster.py | py | 1,212 | python | en | code | 0 | github-code | 13 |
28541524219 | import serial # 引入serial包
ser = serial.Serial('/dev/ttyACM0', 9600, timeout=1) # 打开端口
def main_loop():
"""主循环，打印读取到的数据"""
while True:
str_hello = "Hello Arduino,I am Raspberry."
b_hello = bytes(str_hello, encoding='utf-8') # 字符串转为字节
ser.write(b_hello) # 发送数据
response = s... | cocpy/raspberrypi4 | 第12章/5/serial_test.py | serial_test.py | py | 624 | python | en | code | 0 | github-code | 13 |
26000569042 | from tkinter import *
import random
# the game data for the initial game state
def init():
data.playerX = 250
data.playerY = 550
data.circles = [] # store circles as [x, y, r, color]
data.gameOver = False
data.time = 0
data.score = 0
# events updating the game data
def keyPressed(event):
... | Teknowledge/Curriculum | past_iterations/02_Homewood_Y/02_drawing/09_solution_advanced_circle_clash.py | 09_solution_advanced_circle_clash.py | py | 2,851 | python | en | code | 0 | github-code | 13 |
3235480924 | import numpy as np
import pandas as pd
from scipy.optimize import minimize
import matplotlib.pyplot as plt
def tgt_fn(x, matches):
"""
Cost we will optimize to get the ELO ratings.
:param x: current ratings of plots
:param matches: all pairings of plots and their outcomes
"""
xr = np.hstack([0... | AndrejHafner/how-good-is-my-plot | src/plot_quality_prediction/elo_ratings.py | elo_ratings.py | py | 2,825 | python | en | code | 4 | github-code | 13 |
40343154083 | # -*- coding: utf-8 -*-
import telnetlib, sys, select
from django.http import HttpResponse
from .auth import login_check
def _pre_process_cmd(cmd):
if cmd.endswith( b"\r\n" ):
return cmd
elif cmd[-1] == b"\r":
cmd += b"\n"
elif cmd[-1] == b"\n":
cmd = cmd[:-1] + b"\r\n"
else:
cmd += b"\r\n"
return cmd
c... | kbengine/kbengine | kbe/tools/server/webconsole/WebConsole/telnet_console.py | telnet_console.py | py | 3,306 | python | en | code | 5,336 | github-code | 13 |
24183689331 | import copy
import logging
import os
import pathlib
import sys
from unittest import TestCase
from unittest.mock import patch
from ws_sdk.client import WSClient
class TestWSClient(TestCase):
logging.basicConfig(level=logging.DEBUG, stream=sys.stdout)
class TestWS(TestCase):
valid_token = "abcdefghijklmnopqr... | whitesource-ps/ws-sdk | ws_sdk/tests/test_client.py | test_client.py | py | 2,080 | python | en | code | 17 | github-code | 13 |
14257807133 | import codecs
import csv
from os import listdir
from os.path import isfile, join
def get_available_files():
# return the csv and ttl files from the "files/" directory, separated in two lists
files = [f for f in listdir("files") if isfile(join("files", f))]
csv_files = [f for f in files if f.endswith(".csv... | mdaubie/Triplifier | utils.py | utils.py | py | 6,546 | python | en | code | 0 | github-code | 13 |
11672372818 | import requests
from imutils import paths
import argparse
import cv2
import os
argparser = argparse.ArgumentParser()
argparser.add_argument("-u", "--urls", required=True,
help="path to file containing image URLs")
argparser.add_argument("-o", "--output", required=True,
help="path to output directory of... | robiColt/image-classifier-CNN-SVM | image_downloader.py | image_downloader.py | py | 1,262 | python | en | code | 0 | github-code | 13 |
4511226972 | #!python
# -*- coding: utf8 -*-
rootElement = 'elements'
topElement = 'element'
encoding = 'utf8'
deletetext = 'delete'
extra = '_anno'
# entities show in the radiobox bar
entities = [(u'产地', 'place'), (u'品种', 'type'), (u'等级', 'rank'), (u'其它', 'other')]
| aisensiy/AnnotationTool | config.py | config.py | py | 273 | python | en | code | 0 | github-code | 13 |
33804659941 | from django.db import models
SEMESTRES = [
('1', '1er'),
('2', '2do'),
('3', '3er'),
('4', '4to'),
('5', '5to'),
('6', '6to'),
('7', '7mo'),
('8', '8vo'),
('9', '9no'),
('10', '10mo'),
]
DIAS = [
('1', 'Lunes'),
('2', 'Martes'),
('3', 'Miercoles'),
('4', 'Jueves... | DanielMCastillo/Frameworks | inscripciones/horarios/models.py | models.py | py | 924 | python | en | code | 0 | github-code | 13 |
16178935095 | from __future__ import print_function, division
import os
import itertools
import numpy as np
from mdtraj.utils import ensure_type, cast_indices, in_units_of
from mdtraj.formats.registry import FormatRegistry
from mdtraj.utils.six import string_types, PY3
from mdtraj.utils.six.moves import xrange
__all__ = ['MDCRDTraj... | mdtraj/mdtraj | mdtraj/formats/mdcrd.py | mdcrd.py | py | 17,213 | python | en | code | 505 | github-code | 13 |
71071815379 | import os
import json
import cv2 as cv
import numpy as np
# dataset_path_list = ["E:/PythonCodes/bbox3d_annotation_tools/session0_center_data",
# "E:/PythonCodes/bbox3d_annotation_tools/session0_right_data",
# "E:/PythonCodes/bbox3d_annotation_tools/session6_right_data"]
ra... | stjuliet/CenterLoc3D | utils/visualize_gt_pos.py | visualize_gt_pos.py | py | 2,589 | python | en | code | 10 | github-code | 13 |
4913836591 | import aepp
from dataclasses import dataclass
from aepp import connector
from copy import deepcopy
from typing import Union
import time
import logging
import pandas as pd
import json
import re
from .configs import ConnectObject
json_extend = [
{
"op": "replace",
"path": "/meta:intendedToExtend",
... | pitchmuc/aepp | aepp/schema.py | schema.py | py | 150,047 | python | en | code | 24 | github-code | 13 |
6948073764 | from typing import *
class Solution:
def minCostClimbingStairs(self, cost: List[int]) -> int:
if len(cost) <= 2:
return min(cost)
pre1, pre2 = cost[0], cost[1]
tem = 0
for i in range(2, len(cost)):
tem = min(pre1 + cost[i], pre2 + cost[i])
pre1 =... | Xiaoctw/LeetCode1_python | 动态规划/使用最小花费爬楼梯_746.py | 使用最小花费爬楼梯_746.py | py | 512 | python | en | code | 0 | github-code | 13 |
30989289608 | from flask import Flask, request, jsonify
import requests
app = Flask(__name__)
# URLs de las dos instancias de la aplicación Flask
app1_url = "http://127.0.0.1:5000" # Reemplaza con la URL de tu primera instancia
app2_url = "http://127.0.0.1:5001" # Reemplaza con la URL de tu segunda instancia
@app.route('/call_a... | Zanderz17/Soft_Sem11_Jueves | script.py | script.py | py | 1,087 | python | es | code | 0 | github-code | 13 |
73506861776 | #-*- coding:utf-8 -*-
'''
Created on 2013-9-21
@author: lenovo
'''
import time
from bson.objectid import ObjectId
from model import Model
from const_var import ROOM_STATE_FREE, ROOM_STATE_CHATTING, TABLE_ROOM, TABLE_USER
class Room(Model):
table = TABLE_ROOM
#
def create_room(self, u... | conwaywang/daohe | model/room.py | room.py | py | 2,303 | python | en | code | 0 | github-code | 13 |
38761625072 | from flask import Blueprint, render_template, redirect, url_for, request, flash, jsonify, session, abort
from flask_login import login_user, logout_user, login_required, current_user
from werkzeug.security import generate_password_hash, check_password_hash
from ..models.User import User
from ..models.Course import Cour... | LEGS2001/Proyecto-IHM | backend/project/controllers/admin.py | admin.py | py | 9,265 | python | en | code | 1 | github-code | 13 |
70234784337 | import numpy as np
from matplotlib import pyplot as plt
#Exercicio1
t=np.arange(-1,3,0.001)
x=2*np.cos(2*np.pi*10*t+(np.pi/4))+np.sin(2*np.pi*11*t-(np.pi/3))
plt.xlabel("t")
plt.ylabel("x(t)")
plt.title("ex1.I-> "+r"$x(t)=2cos(2\pi10t+\frac{\pi}{4})+sin(2\pi11t-\frac{\pi}{3})$")
plt.plot(t,x)
plt.show()
| miguelTavora/Digital-Signal | Trabalho 1/exercicio 1/ex1.I.py | ex1.I.py | py | 312 | python | en | code | 0 | github-code | 13 |
33251716990 | #!/usr/bin/env python
import urllib.request
import urllib.parse
import re
user_agent = "Mozilla/5.0 (iPhone; CPU iPhone OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 Mobile/10A5376e Safari/8536.25"
check_url = 'http://wo.yao.cl/register.php'
alphabeta = [chr(x+ord('a')) for x in range(26)]
d... | donyfeng/cltest | cltest.py | cltest.py | py | 1,748 | python | en | code | 0 | github-code | 13 |
35950959746 | class sym_t(object):
'''
symbol used in asm source, can use '.set <label>, <value>'
if parse in label as tuple or list, then this label serve as indirect-indexed symbol
in this case, value can be ommited
'''
def __init__(self, label, value = 0, comments = ''):
if type(label) in (tuple,... | ROCmSoftwarePlatform/MISA | python/codegen/symbol.py | symbol.py | py | 2,498 | python | en | code | 29 | github-code | 13 |
35107130958 | # from django.views.decorators.cache import cache_page
from django.urls import path
# from myapp import views
from . import views
urlpatterns = [
# path('', views.home, name="home"),
path('', views.Home.as_view(), name="home"),
path('about/', views.about, name="about"),
# path('about/', cache_page(60)(... | ronysingh1209/mysite | mysite/myapp/urls.py | urls.py | py | 1,022 | python | en | code | 0 | github-code | 13 |
73492686736 | import os
import pytest
import torch
import torch.distributed as dist
from torch.utils.data import Dataset
from dynapipe.model import TransformerModelSpec, get_uniform_cluster
from dynapipe.pipe.data_loader import DynaPipeDataLoader, TrainingSpec
from dynapipe.pipe.instructions import ExecutionPlan, ForwardPass
torc... | awslabs/optimizing-multitask-training-through-dynamic-pipelines | tests/test_dataloader/test_dataloader.py | test_dataloader.py | py | 12,642 | python | en | code | 1 | github-code | 13 |
1652730655 | #我的思路就是先判断位数，然后分情况
#但感觉有点复杂
#查了个，用的DFS,用到了helper函数
class Solution(object):
def restoreIpAddresses(self, s):
"""
:type s: str
:rtype: List[str]
"""
ans = []
self.helper(ans, s, 4, [])
return ['.'.join(x) for x in ans]
def helper(self, ans, s, k, te... | fire717/Algorithms | LeetCode/python/_093.RestoreIPAddresses.py | _093.RestoreIPAddresses.py | py | 714 | python | en | code | 6 | github-code | 13 |
74358804178 | #问题1
fi = open("test.txt", "r", encoding="utf-8")
txt = fi.read()
d = {}
exclude = "，。！？、（）【】<>《》=：+-*—“”…"
for word in txt:
if word in exclude:
continue
else:
d[word] = d.get(word,0)+1
fi.close()
ls = list(d.items())
ls.sort(key=lambda x:x[1],reverse=True)
print(ls)
print("{}:{}".format(ls[0][0... | dusizhong/python-examples | 2.py | 2.py | py | 370 | python | en | code | 0 | github-code | 13 |
26215943984 | import numpy as np
import random
# can replace colors with RGB values later
COLORS = ['red', 'pink', 'lightblue',
'white', 'black', 'blue',
'green', 'yellow', 'none']
MAXIMUM_SQ = 6
GRID_ROWS = 2
NUM_TRIALS = 150
WINDOW_SIZE = (1440, 1080)
def calculate_location(size, i):
"""
Calculate th... | amyflo/discretewholereport | wholereport.py | wholereport.py | py | 2,898 | python | en | code | 1 | github-code | 13 |
70435957457 | class ListNode:
def __init__(self, val):
self.val = val
self.next = None
class MyLinkedList(object):
#Implementation with singly linked list
def __init__(self):
self.head = None
self.size = 0
def get(self, index):
"""
:type index: int
:r... | ItsMeeSeanLee337/LeetCode-Questions | 707. Design Linked List/Design_Linked_List.py | Design_Linked_List.py | py | 3,889 | python | en | code | 0 | github-code | 13 |
3874495997 | # coding: utf-8
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.cluster import KMeans
diabetes = pd.read_csv('diabetes_balanced.csv')
X = np.array(diabetes.drop(['Outcome'], axis=1).astype(float))
y = np.array(diabetes['Outcome']... | ncd-surveillance-system/SIH_demogrphical_analysis | OldDataset/K-Means.py | K-Means.py | py | 707 | python | en | code | 0 | github-code | 13 |
71831414098 | from ultralytics import YOLO
import os
import cv2
model = YOLO(os.path.expanduser('~/overwrite_det/last_31_OWO.pt'))
clip_limit = 78 # Set your desired clip limit (78 in this example)
tile_size = 20
if __name__ == '__main__':
image = cv2.imread("Sample4_1.png", cv2.IMREAD_GRAYSCALE)
#image=cv2.imread("Samp... | CMA020/overwrite_det | Det_test.py | Det_test.py | py | 553 | python | en | code | 0 | github-code | 13 |
23623838372 | """3d pose graph visualization utilities that use the Open3d library."""
from typing import List, Optional
import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils
import numpy as np
import open3d
from gtsam import Pose3
import salve.utils.colormap as colormap_utils
def get_colormapped_spheres(wTi_list: Lis... | zillow/salve | salve/visualization/utils.py | utils.py | py | 3,499 | python | en | code | 4 | github-code | 13 |
23617476522 | from django.forms import ModelForm
from django import forms
from administrativo.models import Estudiante, NumeroTelefonico
class EstudianteForm(ModelForm):
class Meta:
model = Estudiante
fields = ['nombre', 'apellido', 'cedula']
class NumeroTelefonicoForm(ModelForm):
def __init__(se... | taw-desarrollo-plataformas-web/ejemplos5.3.7_1 | ejemplo1/proyectoUno/administrativo/forms.py | forms.py | py | 679 | python | en | code | 0 | github-code | 13 |
14936771205 | import csv
import operator
import os
import re
from flask_script import Command, Option
from user_agents import parse
class UaParser(Command):
"""
Утилита для парсинга лога с юзер агентами
Пример строки: Count "UserAgent"
"""
def __init__(self):
super().__init__()
self.top = 100 ... | DmitryShahbazov/UA-Parser | ua_parser.py | ua_parser.py | py | 5,329 | python | ru | code | 0 | github-code | 13 |
21828381732 | import json
from itertools import groupby
from team_league_elt.root import ROOT_DIR
from typing import List, Dict
def build_team_fifa_ranking_list():
with open(f'{ROOT_DIR}/world_cup_team_players_stats_raw.json') as json_file:
team_stats_as_dicts = json.load(json_file)
team_fifa_ranking: List[Dict] =... | tosun-si/world-cup-qatar-team-stats-kotlin-midgard | scripts/create_team_fifa_ranking_list.py | create_team_fifa_ranking_list.py | py | 756 | python | en | code | 3 | github-code | 13 |
23905040301 | #!/usr/bin/env python3
"""Module used to"""
import numpy as np
def batch_norm(Z, gamma, beta, epsilon):
"""normalizes an unactivated output of a NN"""
β = beta
γ = gamma
ε = epsilon
μ = Z.mean(0)
σ = Z.std(0)
σ2 = Z.std(0) ** 2
z_normalized = (Z - μ) / ((σ2 + ε) ** (0.5))
Ẑ = γ *... | diego0096/holbertonschool-machine_learning | supervised_learning/0x03-optimization/13-batch_norm.py | 13-batch_norm.py | py | 366 | python | en | code | 0 | github-code | 13 |
73097435536 | class Evaluator:
"""String weight evaluator"""
@staticmethod
def check_args(coefs, words):
if len(coefs) != len(words):
return(False)
if not isinstance(coefs, list):
return(False)
if not isinstance(words, list):
return(False)
try:
... | Cizeur/Bootcamp_Python | day01/ex04/eval.py | eval.py | py | 1,349 | python | en | code | 0 | github-code | 13 |
41818191376 | from google.cloud import storage
from google.oauth2 import service_account
credentials = service_account.Credentials.from_service_account_file("vision-6964-cec0e32a1768.json")
CLIENT_ID = "GOOG1ELM7PJRRII5V3WQZJDFPLMVLU7BWMX3CPYOIF4QWXQGHG37DSZDCVYSY"
CLIENT_SECRET = "Nk/1HI0zI00gx208y4Sm+ZiK/dP8sqpt7i+QoIWZ"
storag... | sidharthmrao/RovicareOCR | ocr/cloudstoragetesting.py | cloudstoragetesting.py | py | 568 | python | en | code | 1 | github-code | 13 |
73538982416 |
from pytube import YouTube
from .step import Step
from yt_concate.settings import VIDEOS_DIR
import logging
class DownloadVideos(Step):
def process(self, data, inputs, utils):
logger = logging.getLogger()
yt_set = set ([found.yt for found in data])
logger.info(f'videos to download:, {len(y... | cindypai/yt-concate | yt_concate/pipeline/steps/download_videos.py | download_videos.py | py | 709 | python | en | code | 0 | github-code | 13 |
43588848989 |
import logging
import numpy as np
import pandas as pd
from sklearn import preprocessing
from gzreduction.deprecated.uncertainty import uncertainty
def reduced_votes_to_predictions(df, schema, save_loc):
"""
Calculate predicted answers and uncertainty from reduced vote counts.
Args:
df (pd.Data... | mwalmsley/gz-panoptes-reduction | gzreduction/votes_to_predictions/reduced_votes_to_predictions.py | reduced_votes_to_predictions.py | py | 6,204 | python | en | code | 1 | github-code | 13 |
20859588889 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# BAR GRAPH 1 MEDIAN AGE
plt.figure(figsize=(9,7))
data = pd.read_csv('data03sheet.csv')
plt.title('Average (Median) Age in Different Regions', fontdict={'fontweight':'bold', 'fontsize': 18})
#sorting the data into ascending order
myReg = data['Reg... | ari-abr/World-In-Numbers | py_demographics.py | py_demographics.py | py | 2,898 | python | en | code | 0 | github-code | 13 |
22648280287 | import json
import logging
import os
from copy import deepcopy
from urllib.parse import urljoin, urlparse
from boto3utils import s3
from cirruslib import StateDB, stac, STATES
logger = logging.getLogger(__name__)
# envvars
DATA_BUCKET = os.getenv('CIRRUS_DATA_BUCKET', None)
# Cirrus state database
statedb = StateDB... | cirrus-geo/cirrus-earth-search | core/api/lambda_function.py | lambda_function.py | py | 5,104 | python | en | code | 21 | github-code | 13 |
30171855103 | #!/usr/bin/env python
# Note: This demo will only work if you have a Barobo breakout-board currently
# attached to the linkbot.
from barobo import Linkbot
if __name__ == "__main__":
linkbot = Linkbot()
linkbot.connect()
adcs = map(linkbot.getBreakoutADC, range(0,8))
print(map(lambda x: x/1024.0*5.0,... | davidko/PyBarobo | demo/test/with_BaroboLink/getBreakoutADC.py | getBreakoutADC.py | py | 328 | python | en | code | 0 | github-code | 13 |
5132625046 | # -*- coding: utf-8 -*-
# python结巴分词使用停用词版本，根据输入的excel文件分词后输出到另一个excel中
import xlrd
import xlwt
import jieba
def jiebafenci(input_path,output_path):
jieba.load_userdict('userwords.txt') # userwords.txt 为文件类对象或自定义词典
# 读取停用词文件
with open('stopwords.txt', encoding='UTF-8') as f:
stoplist = f... | yingtaoluo/51jobs-Text-Mining | sy4/jiebaWithStopwords.py | jiebaWithStopwords.py | py | 2,374 | python | en | code | 0 | github-code | 13 |
32318289681 | '''
This file renders out the layers of a blend file to different names. It is
configured by a JSON file that links a name to visible layers. For example:
[
{'name':'image_name', 'layers':[2,5]},
]
The json file is provided by the command line arguments. Invoke this script
using:
blender path/to/blendfile.blend -... | sdfgeoff/LearningWhatAGameEngineIs | src/Scripts/render.py | render.py | py | 1,092 | python | en | code | 0 | github-code | 13 |
32383172296 | import matplotlib.pyplot as plt
import numpy as np
import os
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
matplotlib.rcParams.update({'font.size': 13})
"""Plotting"""
algorithms = ['Q']
# delays = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
delays = [2, 4, ... | baranwa2/DelayResolvedRL | W-Maze/Tabular-Q/plot.py | plot.py | py | 2,796 | python | en | code | 3 | github-code | 13 |
12343804785 | # Program to find the majority element that is the occurence should be greater than N/2 , where N is the size of the array
# BELOW PROGRAMS IN VARIOUS SECTIONS ARE FOR N/2, N/3.... MAJORITY ELEMENTS.
# ----------------------------------------------------------------------------------------------------------------
# NOT... | souravs17031999/100dayscodingchallenge | arrays/majority_element_array.py | majority_element_array.py | py | 5,970 | python | en | code | 43 | github-code | 13 |
11653776738 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from django import forms
from django.contrib.auth.admin import UserAdmin
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.forms import AdminPasswordChangeForm
from models import *
class Doc... | HoangJerry/bookingDoctor | api/admin.py | admin.py | py | 3,689 | python | en | code | 0 | github-code | 13 |
38970834340 | '''
Написать программу которая считает количество строк в прикрепленном файле.
Файл должен находиться в том же каталоге что и программа.
P.S. в подсчет не включать строки которые обозначают пропуски между частями стихотворения
'''
f = open('zadanie2.txt', encoding='utf-8')
st = f.readlines() # псчитываем все строки
c... | ArTdrums/zadania-s-failami | 10. задание 2.py | 10. задание 2.py | py | 877 | python | ru | code | 0 | github-code | 13 |
7041750330 | from o3seespy.command.element.base_element import ElementBase
class TwoNodeLink(ElementBase):
"""
The TwoNodeLink Element Class
This command is used to construct a twoNodeLink element object, which is defined by two nodes. The element can have
zero or non-zero length. This element can have 1 to 6... | o3seespy/o3seespy | o3seespy/command/element/link.py | link.py | py | 4,844 | python | en | code | 16 | github-code | 13 |
26445750684 | import os
import multiprocessing
from multiprocessing import Process
import pandas as pd
import tqdm
import sys
base = '/datasets/xeno_canto/wav_16khz_XC/'
def get_length(files):
audios = os.listdir(files)
audios = [f for f in audios if '_16.wav' not in f]
if len(audios) == 0:
print(files)
... | farrinfedra/bird_song_resynthesis | preprocessing/remove.py | remove.py | py | 767 | python | en | code | 0 | github-code | 13 |
8326381437 | lines = open('../data/ex7.txt', 'r').readlines()
dir_size_map = dict()
parent_map = dict()
def add_to_parents(size, cur_dir):
parent = parent_map[cur_dir]
if parent == '':
return
dir_size_map[parent] += size
try:
add_to_parents(size, parent)
except RecursionError as e:
prin... | DonnyWhoLovedBowling/aoc2022 | src/ex7.py | ex7.py | py | 1,860 | python | en | code | 0 | github-code | 13 |
1680816946 | #!/usr/bin/env python3
#encoding=utf-8
#-------------------------------------------
# Usage: python3 global_scope_example.py
# Description: global in function definition
#-------------------------------------------
x = 88 # Global x
print('before func, x = %s' % x)
def func():
global x
x = 99 ... | mindnhand/Learning-Python-5th | Chapter17.Scopes/global_scope_example.py | global_scope_example.py | py | 427 | python | en | code | 0 | github-code | 13 |
25397659347 | import numpy as np
import matplotlib.pyplot as plt
import os
def sigmoid(x):
return 1/(1+np.exp(-x))
def logistic_regression_gradient_descent(x,y,W_init,learning_Rate,tol=10e-5,max_count=10000000):
w=W_init
count=0
while max_count>count:
y_predict=sigmoid(np.dot(x.T,w))
#GD
grad... | nhoxnho1212/logisticRegression | And.py | And.py | py | 1,147 | python | en | code | 0 | github-code | 13 |
17015275115 | """
Naive n cubed solution - works but is too slow
"""
import csv
from itertools import combinations
from pathlib import Path
import pytest
class Solution:
def threeSum(self, nums: list[int]) -> list[list[int]]:
solution = {
tuple(sorted(comb)) for comb in combinations(nums, 3) if sum(comb) ... | chrisjdavie/interview_practice | leetcode/3sum/first.py | first.py | py | 859 | python | en | code | 0 | github-code | 13 |
23555310626 | import os
import sys
def list_files(*args):
path = os.getcwd()
dir_name = '.zeon_fs'
file_path = os.path.join(path, dir_name)
dir_files = os.listdir(file_path)
print('Files: ', len(dir_files))
for i in dir_files:
print(i)
if __name__ == "__main__":
args = sys.argv
if not l... | azatuuluaman/zeon_fs2 | commands/list_files.py | list_files.py | py | 375 | python | en | code | 0 | github-code | 13 |
5253575605 | from app.db.Models.flow_context import FlowContext
def get_domain_tags(domain_id):
cursor = FlowContext().db().aggregate([
{"$match": {"domain_id": domain_id}},
{"$project": {"upload_tags": 1}},
])
tags_set = set()
for i in cursor:
for tag in i.get("upload_tags", []):
... | HassenMahdi/dcm-upload | app/main/service/tags_service.py | tags_service.py | py | 854 | python | en | code | 0 | github-code | 13 |
70459644497 | # making a request to fixer.io forex rates website
# using user input for api parameters
# NOT working anymore: base is always EURO for free accounts
import requests
def main():
base = input("First Currency: ")
other = input("Second Currency: ")
# the takeaway is that url params can be passed as below
... | amrfekryy/course-CS50W | lecture4 - ORM&API/21currency2.py | 21currency2.py | py | 672 | python | en | code | 0 | github-code | 13 |
2456556450 | import sys
from termcolor import colored, cprint
#def answer(dimensions, ur_position, guard_position, distance):
def debug(*objects): print(objects)
dims = [3, 2]
ur_pos = [1, 1]
g_pos = [2, 1]
dist = 4
# dims = [300, 275]
# ur_pos = [150, 150]
# g_pos = [185, 100]
# dist = 500
# dims = [1000, 1000]
# ur_pos = [250,... | damhonglinh/google-foobar | lvl-4a--bringing_a_gun_to_a_guard_fight/drawing-scripts/messy-solution_4a.py | messy-solution_4a.py | py | 4,024 | python | en | code | 0 | github-code | 13 |
70192938897 | import sqlite3
import pandas as pd
try:
sqliteConnection = sqlite3.connect('app.db')
cursor = sqliteConnection.cursor()
print("Successfully Connected to SQLite")
#agency_domain_white_list
cursor.execute("""DELETE FROM agency_domain_white_list""")
data = pd.read_csv(r'agency_domain_whitelist.cs... | barhantas/coalitioninc-task | api/data-loader.py | data-loader.py | py | 2,361 | python | en | code | 2 | github-code | 13 |
16853240085 | # -*- coding:utf8 -*-
import time
import celery
from celery import task
from celery.schedules import crontab
app = celery.Celery('cele', broker='redis://localhost:6379')
@task
def sayHello():
print ("hello...")
time.sleep(3)
print ('world...')
'''
设置执行的时间
'''
# 每分钟执行一次
c1 = crontab()
# 每天凌晨十二点执行
c2 =... | ShuoDu/celery_used | showTime/task.py | task.py | py | 912 | python | zh | code | 0 | github-code | 13 |
14817079557 | ############################################################################################
# This script is tested and compatible with the python version 3.10 #
# make sure all python dependencies are installed to be able to import the listed modules. #
# This script was written and executed on... | MrTam-Node/get_avg_cpu_usage | get_avg_cpu_ram.py | get_avg_cpu_ram.py | py | 11,453 | python | en | code | 1 | github-code | 13 |
29201569515 | import numpy as np
import datetime
def distance(v1, v2):
# v1 = (T, T, T, F, F, F, F, F, T, T, F, T, F, F, T, T, T, T, F, F, T, T, T, T)
# v2 = (F, T, T, F, F, T, T, F, F, T, F, T, T, T, T, T, T, F, T, F, T, T, F, T)
return(sum([i[0]!=i[1] for i in zip(v1, v2)]))
def has_dup(G):
tmpG = {}
for v in G:
... | sunanqi/learning | Greedy Algorithms- Minimum Spanning Trees- and Dynamic Programming by Tim Roughgarden/clustering_big.py | clustering_big.py | py | 2,833 | python | en | code | 0 | github-code | 13 |
39103849650 | __major__ = '2'
__minor__ = '0'
__patch__ = '0'
__version__ = '.'.join([__major__, __minor__, __patch__])
__author__ = 'Misha Turnbull'
__author_email__ = 'mishaturnbull@gmail.com'
__tested_on__ = {"windows 10": ['gui'],
"osx el capitan": ['gui'],
"kali linux 2016.3": ['gui'],
... | mishaturnbull/EmailGUI | VERSION.py | VERSION.py | py | 442 | python | en | code | 0 | github-code | 13 |
24283281205 | def json_response(response, code):
from flask import make_response
resp = make_response(response.to_json(), code)
resp.headers['Content-Type'] = "application/json"
return resp
def format_content_range(start, end, size):
if start is None or end is None:
range = '*'
else:
range =... | whisust/jellynote-backend | api/routes/utils.py | utils.py | py | 427 | python | en | code | 1 | github-code | 13 |
27080975159 | """
parsers.py
parsers models, input ip address list collapse, or
scanner results to parse.
"""
import fnmatch
import ipaddress
import os
import argparse
from libnmap.parser import NmapParser, NmapParserException
from dscan import log
def parse_args():
"""
Used by main to parse the user arguments.
:retu... | 0x4E0x650x6F/dscan | dscan/models/parsers.py | parsers.py | py | 5,012 | python | en | code | 15 | github-code | 13 |
35658457215 | #!/usr/bin/python3
import sys
import time
from scapy.all import sendp, ARP, Ether
if len(sys.argv) < 3:
print(sys.argv[0] + ": <target> <spoof_ip>")
sys.exit(1)
iface = "wlp2s0"
target_ip = sys.argv[1]
fake_ip = sys.argv[2]
ethernet = Ether()
arp = ARP(pdst=target_ip,
psrc=fake_ip,
op="is-at")
packet ... | balle/python-network-hacks | arp-spoof.py | arp-spoof.py | py | 399 | python | en | code | 135 | github-code | 13 |
32276470753 | # exercise 57: Cell Phone Bill
minutes = int(input('enter number of minutes: '))
messages = int(input('enter number of text messages: '))
if minutes > 50:
extra_mins = minutes - 50
else:
extra_mins = 0
if messages > 50:
extra_text = messages - 50
else:
extra_text = 0
base_charge = 15
included_mins = ... | sara-kassani/1000_Python_example | books/Python Workbook/decision_making/ex57.py | ex57.py | py | 1,015 | python | en | code | 1 | github-code | 13 |
6331738275 | import os
import numpy as np
import argparse
import gym
import tqdm
from keras.models import load_model
from pid_lenya import Agent
from run_pid_optimized import PIDPolicy
model = load_model('model.hd5')
def main():
parser = argparse.ArgumentParser()
env = 'AttFC_GyroErr-MotorVel_M4_Ep-v0'
seeds = [5,]
... | prokhn/onti-2019-bigdata | gymfc/examples/controllers/run_test.py | run_test.py | py | 1,894 | python | en | code | 0 | github-code | 13 |
11593232912 | #
# 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)
# LAB 9-8 트윗 메시지를 깔끔하게 정제하자, 243쪽
#
import re
tweet = input('트윗을 입력하시오: ')
tweet = re.sub('RT', '', tweet) # RT 문자열을 삭제
tweet = re.sub('#\S+', '', tweet) # 해시(#)다음에 나타나는 문자열을 삭제
tweet = re.sub('@\S+', '', tweet) # 앳사인(@)다음에 나타나는 문자열을 삭제
print(tweet) | dongupak/DataSciPy | src/파이썬코드(py)/Ch09/lab_9_8.py | lab_9_8.py | py | 454 | python | ko | code | 12 | github-code | 13 |
73912529619 | from urllib.parse import urlencode
#------------------------------------------------------------------------------
from kivy.network.urlrequest import UrlRequest
#------------------------------------------------------------------------------
_Debug = False
#---------------------------------------------------------... | datahaven-net/recotra | lib/coinmarketcap_client.py | coinmarketcap_client.py | py | 1,126 | python | en | code | 4 | github-code | 13 |
69927201619 | import typing as tp
from pathlib import Path
import dataclasses
import collections
import itertools
import pickle
import logging
import cv2
import imutils
import numpy as np
import shapely.geometry
import matplotlib.pyplot as plt
from .line import Line
from .colors import Colors
from .image_utils import get_image... | expertanalytics/digeeg | src/dgimage/image.py | image.py | py | 5,793 | python | en | code | 0 | github-code | 13 |
34810975301 | import glob
import json
import os
import re
import sys
HEADING1 = "\n# "
HEADING2 = "\n## "
LINK_RE = re.compile("(\\[)([^\\[]*)(\\])(\\()([^\\)]*)(\\))")
def main(target_dir):
# Iterate over files
local_dir = os.path.dirname(__file__)
for fname in glob.glob(os.path.join(local_dir, "*.md")):
if ... | miguelmorin/business | content/sync.py | sync.py | py | 2,703 | python | en | code | 0 | github-code | 13 |
70524679057 | import connector as DB
dbCur = DB.Connection.cursor()
def dbExec(sql):
dbCur.execute(sql)
DB.Connection.commit()
# STUDENT
def newAddress(AddressID, UnitNo, Street, Brgy, City, ZIP):
sql = f"INSERT INTO ADDRESS(AddressID, UnitNo, StreetName, Brgy, City, ZipCode) VALUES('{AddressID}','{UnitNo}','{Stre... | DzhonPetrus/SanctionManagementSystem | DB/Address.py | Address.py | py | 1,287 | python | en | code | 0 | github-code | 13 |
17053524224 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.InvoiceItemQueryOpenModel import InvoiceItemQueryOpenModel
from alipay.aop.api.domain.InvoiceTradeFundItem import InvoiceTradeFundItem
from alipay.aop.api.domain.InvoiceTradeGoodsIt... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/InvoiceTradeInfo.py | InvoiceTradeInfo.py | py | 12,499 | python | en | code | 241 | github-code | 13 |
30138741392 | import unittest
import os
from PIL import Image
from werkzeug.datastructures import FileStorage
from zou.app import app
from zou.app.utils import thumbnail, fs
TEST_FOLDER = os.path.join("tests", "tmp")
class ThumbnailTestCase(unittest.TestCase):
def get_fixture_file_path(self, relative_path):
current... | cgwire/zou | tests/utils/test_thumbnail.py | test_thumbnail.py | py | 5,232 | python | en | code | 152 | github-code | 13 |
19879049113 | #PyBank#
#Financial records analyzation
#Import libraries and dependencies
import csv
import pandas as pd
import numpy as np
#path for CSV file
file_path_input = ("budget_data.csv")
file_to_output = ("analysis.data.txt")
#Read CSV into Panadas and give it a variable name Budget_DF
Budget_df = pd.read_csv(file_path_i... | KeepItOnTheDownload/PyBank | Pybank-Pandas.py | Pybank-Pandas.py | py | 2,142 | python | en | code | 1 | github-code | 13 |
43611299736 | import streamlit as st
import functions
# The order of functions, commands etc. in a webapp matters.
# The script will be executed from top to bottom.
todos = functions.get_todos()
def add_todo():
todo = st.session_state["new_todo"] + "\n"
todos.append(todo)
functions.write_todos(todos)
st.title("My To... | Henkel204/my-todo-app | web.py | web.py | py | 808 | python | en | code | 0 | github-code | 13 |
1969198501 | # import concurency
import time
from concurrent.futures.process import ProcessPoolExecutor
import numpy as np
from tqdm import tqdm
def predict(input):
time.sleep(.05)
return np.sum(input*input.T)
def single_process(in_dataset):
result = list()
for arr in tqdm(in_dataset):
result.append(pre... | VadyusikhLTD/prjctr-ML-in-Prod | week2/multiple-process-inference/multiple_process_inference.py | multiple_process_inference.py | py | 1,065 | python | en | code | 0 | github-code | 13 |
11408344026 | from http.client import HTTPResponse
from multiprocessing import context
from django.shortcuts import render, redirect
from django.http import HttpResponse
from pages.models import Ticket
from pages.forms import TicketForm, StatusForm
# Create your views here.
def home(request):
return render(request, 'base.html'... | seepanas10/helpdesk-django | pages/views.py | views.py | py | 1,267 | python | en | code | 0 | github-code | 13 |
9070569930 |
result_sum = 100
nums = []
nanjange_count = 9
for i in range(nanjange_count):
nums.append(int(input()))
sum_heights = sum(nums)
for i in range(nanjange_count - 2):
for j in range(i+1, nanjange_count):
temp_sum = nums[i] + nums[j]
if sum_heights - temp_sum == result_sum:
x1 = nums... | mins1031/coding-test | baekjoon/CompleteSearch/SevenNanjange_2309.py | SevenNanjange_2309.py | py | 717 | python | ko | code | 0 | github-code | 13 |
8954248870 | import pickle
import requests
import streamlit as st
from pydantic import BaseModel
DATASET_INFO_PATH = "categorical_features_dict.pkl"
st.title("Car prediction app")
# when running from outside docker, replace api:8080 with localhost:8080
ENDPOINT_URL= f'http://api:8080/api/predict'
class CarInformationRequest(B... | dsmoljan/Car-price-prediction | Code/app/frontend/main.py | main.py | py | 2,775 | python | en | code | 0 | github-code | 13 |
74176775699 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 30 13:16:47 2019
@author: gregz
"""
import astropy.units as u
import numpy as np
import pickle
from input_utils import setup_logging
from astropy.io import fits
from astropy.coordinates import SkyCoord
from astropy.table import Table
from hetdex_a... | grzeimann/Panacea | toy.py | toy.py | py | 2,578 | python | en | code | 8 | github-code | 13 |
22467477403 | """
Продолжить работу над первым заданием. Разработать методы, отвечающие за приём оргтехники на склад и
передачу в определенное подразделение компании.
Для хранения данных о наименовании и количестве единиц оргтехники, а также других данных,
можно использовать любую подходящую структуру, например словарь.
"""
class ... | slavaprotogor/python_base | homeworks/lesson8/task5.py | task5.py | py | 2,300 | python | ru | code | 0 | github-code | 13 |
33526917443 | """
Character Class is the base class and used to create monsters.
Also could add a skill class so monsters could hit harder.
"""
from assests.items import Weapon
class Character:
def __init__(self, name, hp, maxhp, mp, maxmp, atk, defence, inventory, exp):
self.name = name
# Health poin... | Asarmir/HeroQuest | users/char.py | char.py | py | 4,684 | python | en | code | 0 | github-code | 13 |
13298265308 | """
Data.py provides command line convenience access to the modules in the housinginsights.sources
directory. Here is a brief explanation.
BRIEF EXPLANATION
-----------------
Use this script to download a csv file from an API. Specify the output file with the -o flag.
Specify whatever parameters you need with --param... | jgordo04/housinginsights_temp | python/cmd/data.py | data.py | py | 4,027 | python | en | code | 0 | github-code | 13 |
5891355685 | import sys
import numpy as np
from fwl.helpers import most_common
class KNN:
def __init__(self, k: int = 1):
self.k = k
def fit(self, X: np.ndarray, y: np.ndarray, w: np.ndarray) -> None:
self.X_train = X
self.y_train = y
self.w_train = w
def predict(self, examples: np.nd... | mayoras/FWL-Metaheuristic | fwl/knn.py | knn.py | py | 1,807 | python | en | code | 0 | github-code | 13 |
43896859182 | class Person:
country = "Bangladesh"
def takeBreak(self):
print('I am breathing...')
class Employee(Person):
company = "Honda"
def getSalary(self):
print(f"Salary is {self.salary}")
def takeBreak(self):
print('I am an Employee so I am breathing')
class Programmer(Employee... | inadia748/PythonByHarry | Inheritance/4-multilevelinheritance.py | 4-multilevelinheritance.py | py | 597 | python | en | code | 0 | github-code | 13 |
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