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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
567639815 | #!/usr/bin/env python
import argparse
import sys, os
from copy import deepcopy
import logging
import subprocess
import numpy as np
import biobox as bb
import JabberDock as jd
# Current path destination:
current_p = str(os.path.dirname(os.path.realpath(__file__)))
# A global script to auto run all the commands to go ... | Degiacomi-Lab/JabberDock | auto_scripts/jabberdock.py | jabberdock.py | py | 4,841 | python | en | code | 12 | github-code | 54 |
19935031814 | A = [0,1]
lena = len(A)
# dic= {j:A[j] for j in range(lena)}
# print(dic)
count = 0
temp = 0
for i in range(lena):
if A[i] == 0:
temp += 1
else:
count += temp
print('At end of loop {}, the value of temp is {} and value of count is {}.'.format(i, temp, count))
| rmdotka92/Codility_training_exercises | 5.1_codility_passingcars.py | 5.1_codility_passingcars.py | py | 289 | python | en | code | 0 | github-code | 54 |
22173133456 | import json
import requests
from flask import jsonify, make_response, abort, Blueprint
github_urls = {
"user": "https://api.github.com/users/{0}",
"user_repos": "https://api.github.com/users/{0}/repos",
}
bp = Blueprint("api", __name__, url_prefix="/api/v0.1")
def github_request(url):
try:
respo... | prowincial/task-for-allegro | mserver/api.py | api.py | py | 1,995 | python | en | code | 0 | github-code | 54 |
3775946257 | #!python3
# downloadXkcd.py - Download every xkcd file.
from email.mime import image
import requests, os, bs4
url = 'https://xkcd.com'
os.makedirs('xkcd', exist_ok=True)
while not url.endswith('#'):
# Donwload the page
print('Downloading the page %s...' %url)
res = requests.get(url)
res.raise_for_stat... | thegoddo/Python | downloadXkcd.py | downloadXkcd.py | py | 1,102 | python | en | code | 0 | github-code | 54 |
42108820230 | set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}
set_c = {7, 8, 9, 10, 11}
# Використовуючи set_a, set_b, set_c
# 1. Отримати загальний set
# res = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}
res = {*set_a, *set_b, *set_c}
# 2. Отримати різницю між set_a і set_b, set_b і set_c
res_a_b = set_a.difference(set_b)
res_b_c = set_b... | jamaicacat/python_basic_hw6 | main.py | main.py | py | 3,903 | python | uk | code | 0 | github-code | 54 |
29849330781 | # Author : Ashish Nagar
def tournament_schedule(players, schedule=None, day=None, i=None, j=None):
# Count the number of players
number_of_players = j - i + 1
# Create matrix to store the schedule
if schedule is None:
schedule = []
for _ in range(number_of_players - 1):
sch... | algometrix/CSE-551-Foundations-of-Algorithms | tournament_problem.py | tournament_problem.py | py | 2,691 | python | en | code | 2 | github-code | 54 |
35208155229 | import logging
from pathlib import Path
import tensorflow as tf
import typer
from tf_agents.policies import tf_policy
from tf_agents.utils import common
from magpie.config.config import FioSettings
from magpie.environment.controller import logger
from magpie.types.distributed_file_system import DFS
from magpie.types.... | dos-group/magpie | magpie/tuner/eval.py | eval.py | py | 4,323 | python | en | code | 0 | github-code | 54 |
2239111663 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# author：ShidongDu time:2020/4/22
'''
给定一棵二叉树，想象自己站在它的右侧，按照从顶部到底部的顺序，返回从右侧所能看到的节点值。
示例:
输入: [1,2,3,null,5,null,4]
输出: [1, 3, 4]
解释:
1 <---
/ \
2 3 <---
\ \
5 4 <---
通过次数37,189提交次数58,398
'''
# Definition for a binary tree node... | weiyuyan/LeetCode | 每日一题/April/199. 二叉树的右视图.py | 199. 二叉树的右视图.py | py | 1,632 | python | en | code | 2 | github-code | 54 |
39140413371 | import numpy as np
from numpy import linalg as LA
import matplotlib.pyplot as plt
import networkx as nx
from networkx.generators.classic import empty_graph, path_graph, complete_graph
from networkx.generators.random_graphs import barabasi_albert_graph, erdos_renyi_graph
def initial_W(shape, low_bound, up_bo... | jingddong-zhang/Neural-Stochastic-Control | Neural Stochastic Control/Echo/generate_matrix_A.py | generate_matrix_A.py | py | 1,669 | python | en | code | 1 | github-code | 54 |
72070278880 | from __future__ import absolute_import, print_function, division
import logging
import numpy as np
import pade.model
import scipy.stats
from collections import OrderedDict, namedtuple
from itertools import combinations
from pade.stat import (
OneSampleDifferenceTStat, FStat, MeansRatio, residuals, bootstrap)
fro... | itmat/pade | pade/analysis.py | analysis.py | py | 10,927 | python | en | code | 2 | github-code | 54 |
33809637609 | import random
import time
seed = 1
random.seed(seed)
#
# random range
# 随机 (0, 1) 不闭合区间
random.random()
# 随机 [a, b)
random.uniform(1.0, 2.0)
# 随机整数[a, b]闭合区间
random.randint(0, 10)
# 随机整数[a, b)左闭右开：不常用
random.randrange(0, 10, 2)
#
# sequence
# 随机打乱
random.shuffle([1, 2, 3])
# 随机选 1 个
random.choice([1, 2, 3])
... | amomorning/algorithm-py | random/basic.py | basic.py | py | 545 | python | zh | code | 0 | github-code | 54 |
33335242664 | """
CONSTANTS
These predefined constants will be used to name context IDs and modifier IDs.
(The IDs themselves are strings).
In principle, although there are names coming from outside of the
context, every context specific entity should have a defined constant.
"""
########################## context CON... | peterwaksman/Narwhal | mouthContext/mouthCONSTS.py | mouthCONSTS.py | py | 2,367 | python | en | code | 12 | github-code | 54 |
34758642650 | import requests
import re
from bs4 import BeautifulSoup
import mysql.connector
from sklearn import tree
from sklearn import preprocessing
import pandas
# TODO salam dr tamami todo ha tozihate lameze dade shode ast
def ml():
print('این گزینه تا اطلاع ثانوی غیر فعال میباشد گزینه دیگری را انتخاب کنید')
... | saharfk/car-scrapping | carCompleted.py | carCompleted.py | py | 9,552 | python | en | code | 2 | github-code | 54 |
2587741113 | import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
def PrintImage(self,image):
a = image.reshape(28,28)
fig=plt.gcf()
fig.set_size_inches(2,2)
plt.imshow(a)
plt.show()
def ReadTrainingData():
with open('train-images-idx3-ubyte' , 'rb') as i:
i.read(16)
... | el2k6xjp6/Machine-learning | Homework2/NaiveBayes/others.py | others.py | py | 829 | python | en | code | 1 | github-code | 54 |
20823522674 | """
BCDS1 message
-------------
"""
import cerberus
from lxml import etree
from .utils import min_digits, max_digits, strbool
from .message import Message
SCHEDULE_QUERY_TRUE = 0
SCHEDULE_QUERY_FALSE = 1
SCHEDULE_QUERY_DELETE = 3
class Patient(Message):
class Meta:
schema = {
# Sex
... | odonto/odonto | fp17/bcds1.py | bcds1.py | py | 21,060 | python | en | code | 11 | github-code | 54 |
22049261518 | import PyPDF2
import os
import traceback
import time
'''
针对扫描版pdf添加目录
需要有目录文件，使用\t制表符组织目录
目录和扫描版页码有偏差手动设置起始页码
'''
def setsub(indexs, level):
#递归方式遍历目录 生成目录树
sub = []
for i, index in enumerate(indexs):
clevel = len(index.split('\t'))
if clevel == level + 1:
value,... | whxb69/pdf_tools | pdftag.py | pdftag.py | py | 3,338 | python | en | code | 1 | github-code | 54 |
44877656059 | import pandas as pd
import numpy as np
dfmay = pd.read_excel("file/May_Report.xlsx")
dfjune = pd.read_excel("file/June_Report.xlsx")
print(dfmay)
# shows that dfmay != dfjune
print(dfmay == dfjune)
comparevalues = dfmay.values == dfjune.values
print(comparevalues)
rows,cols = np.where(comparevalues==False)
# shows t... | Desewah/python_duplicates | compare/compare.py | compare.py | py | 611 | python | en | code | 0 | github-code | 54 |
19484900792 | #!/usr/bin/env python
from waflib import Logs
def build(ctx):
if ctx.env.IMM:
ctx.recurse('hill-climbing')
ctx.recurse('imm')
else:
Logs.warn("No script will be generated for Ripples")
| mminutoli/preempt-experimental-setup | experiments/wscript | wscript | 219 | python | en | code | 0 | github-code | 54 | |
1389988890 | from __future__ import print_function, division
import options
import numpy as np
import dynet as dy
import data
import evaluation
import helpers
import utils
import sys
import os
def load_user_filepairs(file_list):
src_files, trg_files = [], []
with open(file_list, 'r') as f:
for l in f:
... | neulab/extreme-adaptation-for-personalized-translation | new_users.py | new_users.py | py | 7,189 | python | en | code | 42 | github-code | 54 |
30129281829 |
import re
data = "jr4jf34jfh4n2fh23j3l43kffjjk34fj32d23dmnasdf"
# 문자열에서 숫자 제거 정규식
newdata = re.sub(r'[0-9]+',"", data)
# newdata = re.sub(r'[^0-9]+',"", data) #문자제거 정규식
print(newdata)
data2 = "g@g%^23dfsgf@sdf235g$#fg54%@gf#^g%345^&^%*d*()h(+_54)*g++f&%$#h"
newdata2 = re.sub("[!@#$%^&*()_+-=]","", data2) # 특수문자 제거... | rodrng/control.py | 정규식.py | 정규식.py | py | 550 | python | ko | code | 0 | github-code | 54 |
7933564594 | import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
plt.figure(figsize=(12,12))
df = pd.read_csv("pima-indians-diabetes.csv",
names=['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class'])
# take a sip of the file
print("===only take 5 first rows from input csv file... | buildkdom/statistics-201807 | ml/20180724tensorflow/02_Pima_Indian-visualize-by-seaborn.py | 02_Pima_Indian-visualize-by-seaborn.py | py | 489 | python | en | code | 0 | github-code | 54 |
18680025891 | from ulogging import getLogger
logger = getLogger(__name__)
from config import location
import web
@web.action_handler(__name__)
def www(page, args):
gps = [
float(ll[:-1] if ll[-1] in ("N", "E") else ll) for ll in args["gps"].split(",")
]
locations = location["locations"]
locations.append({... | ondiiik/meteoink | simulator/web/page/locmake.py | locmake.py | py | 415 | python | en | code | 13 | github-code | 54 |
21419788137 | from nlp import nlp
from preprocessing.preprocessors.preprocessors import get_advcl_sentence, get_conj_sentence, get_main_sentence, \
get_sub_sentence_loc, get_sub_sentence_standard
class Preprocessor:
methods = [
get_advcl_sentence,
get_conj_sentence,
get_sub_sentence_standard,
... | Hosstell/chat-helper | preprocessing/preprocessing.py | preprocessing.py | py | 686 | python | en | code | 0 | github-code | 54 |
28023350841 | # Hard Encode for the Prediction
import pandas as pd
import numpy as np
import tensorflow as tf
import time
from tensorflow.keras import layers
import mediapipe as mp
import os
import csv
import cv2 as cv
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from tensorflow.keras.utils import to_... | jasonxu1888/ASL-Aspire | model_communication.py | model_communication.py | py | 5,008 | python | en | code | 1 | github-code | 54 |
19488602101 | import enum
import os
import glob
import subprocess
from dateutil.parser import parse as dateparse
from dotenv import load_dotenv
import pandas as pd
import geopandas as gpd
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
# from postgis_models import Frame, Oil, Ship
from postgis_models im... | suhendra0812/barata_db | ingest.py | ingest.py | py | 6,156 | python | en | code | 0 | github-code | 54 |
42280878076 | import os
import subprocess
import random
import tkinter as tk
from tkinter import messagebox
from datetime import datetime
from functools import partial
from read_write import read_settings_file, write_settings_file, read_saved_plan, write_saved_plan
from my_tkinter_settings import configure_window
class App:
"... | ribeirompl/144_blocks | 144_blocks.py | 144_blocks.py | py | 15,140 | python | en | code | 4 | github-code | 54 |
73013442082 | from turtle import Turtle, Screen
import random
screen = Screen()
screen.addshape("C:/Users/WINDOWS 10/JetBrains/PycharmProjects/SnakeGame/Burger.gif")
class Food(Turtle):
def __init__(self):
super().__init__()
self.shape("C:/Users/WINDOWS 10/JetBrains/PycharmProjects/SnakeGame/Burger.gif")
... | GeeK1224/snake-game | food.py | food.py | py | 607 | python | en | code | 0 | github-code | 54 |
25913876919 | from flask import Flask, render_template, request
from flask_bootstrap import Bootstrap
import data_scraper as ds
app = Flask(__name__)
Bootstrap(app)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/basic_comparison', methods=['POST'])
def height():
user_position = request.f... | dennisdeng2002/nba-comparison | nba_comparisons.py | nba_comparisons.py | py | 570 | python | en | code | 0 | github-code | 54 |
17243641147 | import sys
import torch
import torch.optim as optim
import numpy as np
import dataset as ds
from save_load_model import *
from mirnet3 import Mirnet, CrossEntropyLossWithGaussianSmoothedLabels2
from evaluation_functions import *
USE_F_LAYER=False
if(len(sys.argv) < 2):
arg = "noname"
else:
arg = sys.argv[1]
p... | GarettFogel/cse6521-final-project | train.py | train.py | py | 5,497 | python | en | code | 0 | github-code | 54 |
21641815357 | import re
import subprocess
from datetime import datetime, timedelta
from hashlib import sha256
PUBKEY_CACHE: dict[str, str] = {}
HANDSHAKE_CACHE = {"last_update": datetime.now() - timedelta(hours=1), "data": b""}
ENDPOINT_CACHE = {"last_update": datetime.now() - timedelta(hours=1), "data": b""}
def gen_key() -> st... | dunkelstern/wireguard-web | wireguard/utils.py | utils.py | py | 2,954 | python | en | code | 2 | github-code | 54 |
70151704483 |
def fin(wich,cnt):
global maximum
global arr
if wich == N-1:
if maximum < cnt: maximum = cnt
else:
for i in range(wich+1, N):
if arr[wich] < arr[i]:
fin(i,cnt+1)
N = eval(input())
arr = list(map(int,input().split()))
def dynamic():
maximum = 1
g... | freshbell/Coding-Practice | Algorithm/DP/dp유형/최대 증가 부분 수열.py | 최대 증가 부분 수열.py | py | 589 | python | en | code | 0 | github-code | 54 |
11558296488 | import gc
from copy import deepcopy
from Parser import parse_state_file
from Intersection import *
from Trafficlight import TrafficLight
from Animation import Animation
from time import sleep
import random
'''
How to use Simulation:
parameter city_plan_data - object with data about the city plan to simulate, obtained ... | Viperxyzzz/FEUP-IA-Proj1 | src/Simulation.py | Simulation.py | py | 7,776 | python | en | code | 0 | github-code | 54 |
25947838297 | from numpy import *
def sigmoid(x):
return 1 / (1 + exp(-x))
def logistic_classify(test_mat, weight_arr):
m = test_mat.shape[0]
test_mat = append(test_mat, ones((m, 1)), axis=1)
predic = sigmoid(dot(test_mat, weight_arr.T))
predicted_vals = ones((m, 1))
predicted_vals[predic < 0.5] = -1
... | Zhu0914/hust_machine_learning | logistic.py | logistic.py | py | 2,409 | python | en | code | 1 | github-code | 54 |
33295005644 | from fibula.actions.base import BaseAction
class Images(BaseAction):
"""A collection of actions for manipulating Digital Ocean images."""
log_prefix = 'images'
def list(self):
"""List all available images."""
images = sorted(
self.do.manager.get_distro_images(),
k... | justinlocsei/fibula | infrastructure/fibula/actions/images.py | images.py | py | 535 | python | en | code | 0 | github-code | 54 |
28395808115 | from django.urls import path, include
from django.views.generic import TemplateView
from messaging.views import UserApiView, UserDetail, MessageApiView, MessageDetail, SearchUser, AdminApiView, \
AdminDetail, LikeApiView, LikeDetail, SeenApiView, ArchiveApiView, ChannelApiView, ChannelDetail, GroupDetail, \
Gro... | sorooshmorshedi/messaging-backend | messaging/urls.py | urls.py | py | 4,524 | python | en | code | 0 | github-code | 54 |
27073207872 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 7 10:43:51 2021
@author: caselll1
"""
# inhibitor molar mass in g/mol
bosutinib = 530.45
erlotinib = 429.90
gefitinib = 446.9
axitinib = 386.469
bosutinib_isomer = 530.46
neratinib = 557
ponatinib = 532.56
vandetanib = 475.354
drugs = ["bosutini... | lizacasella/calculation_scripts | ligand_concentration_calculation.py | ligand_concentration_calculation.py | py | 1,235 | python | en | code | 0 | github-code | 54 |
33232221048 | def parseIndent(f):
"""
parse indented file into tree
skip empty lines or starting with ' (comments)
"""
tops=[]#('',nonwhtite,children)#lines without indentation
pfxs=[]#(white,nonwhite,children)
for line in f:
nonwhite=line.lstrip()
white=line[:len(line)-len(nonwhite)]
nonwhite=nonwhite.strip()
if no... | joru/fetpl | fetpl/parse.py | parse.py | py | 847 | python | en | code | 0 | github-code | 54 |
71690652320 | from .fetch import Fetch as ft_
class Forex(ft_):
def __init__(self, *args, **kwargs):
super(Forex, self).__init__(*args, **kwargs)
self._append_type = False
@ft_._output_format
@ft_._call_api_on_func
def get_currency_exchange_rate(self, from_currency, to_currency):
_function... | kaiorferraz/trade_api | forex.py | forex.py | py | 1,405 | python | en | code | 0 | github-code | 54 |
24349480648 | import sys
import pandas as pd
import re
import src.db.database as db
import numpy as np
projects = db.selectallfrom("project")
currentProject = projects[projects['currentProject'] == 1]['projectid'].iloc[0]
currentMethod = projects[projects['currentProject'] == 1]['fk_methodid'].iloc[0]
def interpret(formula,df):... | sergioespana/openAggre | src/functions/indparse.py | indparse.py | py | 5,170 | python | en | code | 0 | github-code | 54 |
26256617954 | from pydm.widgets.base import (
PyDMPrimitiveWidget, PyDMWidget, PyDMWritableWidget)
def pydmwidget_factory(widgetclass, pydm_class='read'):
if pydm_class.lower().startswith('primi'):
pydmclass = PyDMPrimitiveWidget
elif pydm_class.lower().startswith('read'):
pydmclass = PyDMWidget
els... | lnls-sirius/hla | pyqt-apps/siriushla/widgets/widget_factory.py | widget_factory.py | py | 868 | python | en | code | 3 | github-code | 54 |
73442562082 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
import seaborn as sns
import flask as fl
from flask import Flask, render_template, url_for, request
from jinja2 import Template
import json
# create a flask app
app = fl.Flask(__name__)
# Read the CSV file into a pandas DataFra... | xxGHS/assessment-1---data-science-callum-noah-finlay | main.py | main.py | py | 3,989 | python | en | code | 0 | github-code | 54 |
37625098583 | class Solution(object):
def findNumberOfLIS(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if len(nums) == 0:
return 0
length_list = [1] * len(nums)
count_list = [1] * len(nums)
for i in range(len(nums)):
smaller = [(len... | qianlongzju/Leet_Code | Algorithms/py/673.NumberOfLongestIncreasingSubsequence.py | 673.NumberOfLongestIncreasingSubsequence.py | py | 762 | python | en | code | 0 | github-code | 54 |
8359577140 | from flask import Flask, jsonify, request
import json
from routes.chipotle import blueprint as chipotle_bp
from routes.papajohns import blueprint as papajohns_bp
app = Flask(__name__)
app.register_blueprint(chipotle_bp.bp)
app.register_blueprint(papajohns_bp.bp)
app.config['JSON_SORT_KEYS'] = False
@app.route('/',... | agSant01/random-meal-generator-python | app.py | app.py | py | 811 | python | en | code | 0 | github-code | 54 |
30984718041 | # pylint: skip-file
from io import open
from setuptools import find_packages, setup
with open("noiseblend_api/__init__.py", "r") as f:
for line in f:
if line.startswith("__version__"):
version = line.strip().split("=")[1].strip(" '\"")
break
else:
version = "0.0.1"
wit... | Noiseblend/api | setup.py | setup.py | py | 1,745 | python | en | code | 1 | github-code | 54 |
11360974356 | '''GUI'''
import tkinter as tk
class App(tk.Frame):
''' Die Hauptklasse '''
def __init__(self, renamer):
self.renamer = renamer
self.root = tk.Tk()
super().__init__(self.root)
self.create_widgets()
self.refresh_list_unsorted()
def create_widgets(self):
'... | eurethorstheit/Fileprefixer | app.py | app.py | py | 1,594 | python | en | code | 0 | github-code | 54 |
6881484009 | # !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@Author : Kesheng Zhang
@B站：萧然哔哩哔
@Email : zks0053@163.com
@Time : 2022/3/13 19:23
@File : time_series_segmentation.py
@Software: PyCharm
"""
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error
from sklearn.... | KeshengZhang/time_series_segmentation_python | time_series_segmentation.py | time_series_segmentation.py | py | 4,610 | python | en | code | 8 | github-code | 54 |
20034997595 | # -*- coding: utf-8 -*-
#
# libs/uix/flashcardEditorView.py
#
# view for editing/adding flashcards(including two popups view for picking flashcards
# and flashcard editor)
from kivy.uix.boxlayout import BoxLayout
from kivy.lang import Builder
from kivy.uix.screenmanager import Screen
from kivy.uix.label import Label
f... | Bronn1/The-Vocab | libs/uix/flashcardEditorView.py | flashcardEditorView.py | py | 10,544 | python | en | code | 1 | github-code | 54 |
71821360161 | import sys
from itertools import permutations
input = sys.stdin.readline
n = int(input())
arr = [i+1 for i in range(n)]
l2 = list(permutations(arr,n))
for i in range(len(l2)):
print(*l2[i],sep=' ')
import sys
input = sys.stdin.readline
n = int(input())
arr = [i+1 for i in range(n)]
visited= [0] * (n+1)
def chk(idx... | maantano/Coding-Test | 파이썬/2023.11.07 모든 순열(10974)_브루트포스.py | 2023.11.07 모든 순열(10974)_브루트포스.py | py | 482 | python | en | code | 0 | github-code | 54 |
31543756399 | from CustomTransformer.model import TransformerModel
import tensorflow as tf
from pickle import load
from keras.preprocessing.sequence import pad_sequences
from data.CustomDataset import CustomDataset
import numpy as np
import argparse
import json
from CustomTransformer.params import Params
from midi_neural_preprocesso... | Arnavkar/MusicTransformer | PyModel/CustomTransformer/inference.py | inference.py | py | 4,485 | python | en | code | 0 | github-code | 54 |
40830836140 | from torch.utils.data import Dataset, DataLoader
import torch
import numpy as np
import os
import math
import networkx as nx
from utils.hgnn_utils import one_hot_vec
from utils.data_utils import process
from utils.hyperbolicity import hyperbolicity_sample
from hyperbolic_learning_master.utils.embed import train_embedd... | ColeSBaker/hyperBrain | dataset/GraphDataset.py | GraphDataset.py | py | 26,479 | python | en | code | 0 | github-code | 54 |
68405408 | # -*- coding: UTF-8 -*-
import os
from threading import Thread
from PIL import Image
from functools import reduce
import math
import time
class MosaicPuzzle(object):
'''
马赛克拼图
'''
def __init__(self, source_path, output_path, aim_image_path, sub_image_width = 50, sub_image_height = 50, width_pixel_num ... | ShowLo/MosaicPuzzle | MosaicPuzzle.py | MosaicPuzzle.py | py | 10,777 | python | en | code | 0 | github-code | 54 |
22865590571 | import sys
from collections import Counter
from typing import List
system_outputs = sys.argv[1:]
def collector(filename: str, column_id: int = 2) -> List[str]:
lines = []
with open(filename, "rt") as f_p:
for line in f_p:
line = line.strip()
if not line or li... | dbmdz/clef-hipe | experiments/clef-hipe-2022/flair-ensembler.py | flair-ensembler.py | py | 1,236 | python | en | code | 16 | github-code | 54 |
37777732000 |
import numpy as np
import bpy
from bpy.props import FloatProperty, EnumProperty, BoolProperty
from sverchok.node_tree import SverchCustomTreeNode
from sverchok.data_structure import updateNode, zip_long_repeat, ensure_nesting_level
from sverchok.utils.curve.core import SvCurve
from sverchok.utils.curve.primitives im... | nortikin/sverchok | nodes/surface/coons_patch.py | coons_patch.py | py | 6,134 | python | en | code | 2,098 | github-code | 54 |
5622795410 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 17 18:27:55 2018
@author: Leonardo
"""
# --------------------------------------------------------
# IMPORTS:
from plotly.offline import plot
import plotly.graph_objs as go
import numpy as np
# --------------------------------------------------------
# ------... | Leonardo767/plotlyExamples | multTable.py | multTable.py | py | 2,205 | python | en | code | 0 | github-code | 54 |
13887589011 | from collections import Counter
def findShortestSubArray(nums):
ans = len(nums)
n = Counter(nums)
maximum = max(n.values())
ch = {k: v for k, v in n.items() if v >= maximum}
for i in range(len(nums)):
if nums[i] in ch:
ch[nums[i]] -= 1
if ch[nums[i]] == 0:
... | Kasiet2001/leetcode | degree_of_an_array.py | degree_of_an_array.py | py | 428 | python | en | code | 0 | github-code | 54 |
18537759731 | # 2.Есть список с четными и нечетными элементами. Посчитать количество четных и нечетных элементов.
list_nums = [2, 3, 6, 9, 12, 14, 15, 21, 33, 56, 72, 75, 91]
chet = 0
nechet = 0
for num in list_nums:
if num % 2 == 0:
chet += 1
else:
nechet +=1
print(f'Четные: {chet} ')
print(f'Нечетные: {nec... | AndreyBRST/Andrey_Martysevich_HomeWork | HomeWork 4/task_2.py | task_2.py | py | 423 | python | ru | code | 0 | github-code | 54 |
31936795052 | import numpy as np
# 채널 별 mean 계산
def get_mean(dataset):
meanRGB = [np.mean(image.numpy(), axis=(1,2)) for image,_ in dataset]
meanR = np.mean([m[0] for m in meanRGB])
meanG = np.mean([m[1] for m in meanRGB])
meanB = np.mean([m[2] for m in meanRGB])
return [meanR, meanG, meanB]
# 채널 별 str 계산
def get_std(dat... | donghquinn/cnn_stl10_padding_test | preprocess.py | preprocess.py | py | 568 | python | en | code | 0 | github-code | 54 |
36569548022 | import re
# Define the regex query to match the hex values
regex_query = r'0x07[0-9a-fA-F]{6}'
# Define a function to process each match
def process_match(match):
offset = int(match.group(0)[4:], 16)
return f"d_course_big_donut_packed_dl_{hex(offset)[2:].upper()}"
# Open the input file
with open("courses/big... | n64decomp/mk64 | addr_to_sym.py | addr_to_sym.py | py | 627 | python | en | code | 436 | github-code | 54 |
10975763668 | T = int(input())
for i in range(T):
quiz = list(map(str, input()))
score = 0
sum = 0
for j in range(len(quiz)):
if quiz[j] == 'X':
score = 0
else:
score += 1
sum += score
print(sum) | kimsh8337/daliy-coding | baekjoon/단계별 문제/일차원배열/8958_OX퀴즈.py | 8958_OX퀴즈.py | py | 253 | python | en | code | 0 | github-code | 54 |
32488904037 | import utils
import EdgeFunctions as ef
import collections
def findIOEdges():
# Load samples and settings
samples, settings = utils.loadSettings()
# Check samples iteratively
for s in samples:
# Load merge result
G_primitive, S_bounds, primitive_only, ConstraintType, constraint, loo... | zyrrron/Oriole_old | algorithm/separateIOEdges.py | separateIOEdges.py | py | 1,210 | python | en | code | 0 | github-code | 54 |
71856332642 | marks = []
num_students = int(input("Enter the number of students: "))
num_subjects = 5
for i in range(num_students):
print(f"Enter marks for student {i + 1}:")
student_marks = []
for j in range(num_subjects):
mark = int(input(f"Subject {j + 1}: "))
student_marks.append(mark)
... | RHarish1/DataStructures | Expt 01 2D Matrix.py | Expt 01 2D Matrix.py | py | 675 | python | en | code | 0 | github-code | 54 |
15708307505 | #!/usr/bin/env python
# coding: utf-8
# ### Titanic: Machine Learning from Disaster
# - This Titanic dataset is a classic Machine Learning tutorial.
# - I will perform data cleaning, EDA, feature engineering and use classifcation models to predict survivors on the Titanic.
# - Analysis of this dataset was done during ... | nischalshrestha/automatic_wat_discovery | Notebooks/py/wutrng/a-newbie-data-scientist-take-on-titanic-rfc/a-newbie-data-scientist-take-on-titanic-rfc.py | a-newbie-data-scientist-take-on-titanic-rfc.py | py | 23,512 | python | en | code | 2 | github-code | 54 |
18612670847 | '''
using discord.py version 1.0.0a
'''
import discord
import asyncio
import re
BOT_OWNER_ROLE = 'Bot Runner' # change to what you need
#BOT_OWNER_ROLE_ID = "577462888793374738"
lock = asyncio.Lock()
answer_scores = {
"1": 0,
"2": 0,
"3": 0,
}
answer_scores_last = {
"1": 0,
"2": 0,
"3": 0,
}
... | riteshmgr557/rock | main.py | main.py | py | 7,900 | python | en | code | 0 | github-code | 54 |
22207463106 | import os
ORIG_INPUT_DATASET = "GlyphsDataset"
BASE_PATH = "dataset"
TRAIN = "training"
TEST = "evaluation"
VAL = "validation"
BATCH_SIZE = 32
LE_PATH = os.path.sep.join(["output", "le.cpickle"])
BASE_CSV_PATH = "output" | alexandergg/Global-AI-Bootcamp-Glyphs-Classifier-on-EdgeTPU | Demo/glyphreader/settings/config.py | config.py | py | 225 | python | en | code | 0 | github-code | 54 |
24843100966 | #!/usr/bin env python
import scapy.all as scapy
def scan(ip):
arp_req = scapy.ARP(pdst=ip)
broadcast = scapy.Ether(dst="ff:ff:ff:ff:ff:ff")
arp_req_brod = broadcast/arp_req
#print(arp_req_brod.summary())
answered_list = scapy.srp(arp_req_brod, timeout=3, verbose=False)[0]
client_list = []
... | anilkandula06/Net_Scanner | Net_Scanner.py | Net_Scanner.py | py | 971 | python | en | code | 0 | github-code | 54 |
13632474919 | """create cities table
Revision ID: 9bfb5a6b6ae0
Revises: 844eb0010668
Create Date: 2021-02-06 18:14:53.082236
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '9bfb5a6b6ae0'
down_revision = '844eb0010668'
branch_labels = None
depends_on = None
def upgrade():
... | ChadCalcote/TasteWaste | migrations/versions/20210206_181453_create_cities_table.py | 20210206_181453_create_cities_table.py | py | 1,065 | python | en | code | 13 | github-code | 54 |
13429358338 | from utils import load_model, move_to
from problems.tsp.problem_tsp import nearest_neighbor_graph
import logging
import os
import torch
import requests
import json
import tqdm
logger = logging.getLogger(__name__)
def model_fn(model_dir):
logger.info("In model_fn. Model directory is -")
logger.info(model_dir... | aws-samples/amazon-sagemaker-tsp-deep-rl | src/inference.py | inference.py | py | 2,494 | python | en | code | 14 | github-code | 54 |
18539895653 | '''
*4.5 (Find future dates) Write a program that prompts the user to enter an integer
for today’s day of the week (Sunday is 0, Monday is 1, ..., and Saturday is 6).
Also prompt the user to enter the number of days after today for a future day
and display the future day of the week.
'''
# get user input
todays_day ... | musawakiliML/Python-Exercises | Introduction to Programming using Python/Chapter 4/Ex4.5.py | Ex4.5.py | py | 1,199 | python | en | code | 0 | github-code | 54 |
38511666087 | # Exercício 4: Filtro de Elementos
# Escreva um programa que crie uma nova lista contendo
# apenas os elementos pares de uma lista de números
# inteiros.
lista = input("Digite numeros inteiros separados por espaço: ").split(" ")
pares = []
for i in range(len(lista)):
if int(lista[i])%2 == 0:
pares.append(li... | Tjaos/atividade-estrutura-de-dados | q4.py | q4.py | py | 349 | python | pt | code | 0 | github-code | 54 |
14971807088 | #!/usr/bin/env python3
import re
import os
import sys
import json
import argparse
import requests
from json.decoder import JSONDecodeError
"""client.py: Client for interacting with the Halite II servers."""
__author__ = "Two Sigma"
__copyright__ = "Copyright 2017, Two Sigma"
__credits__ = ["David M. Li", "Jaques Cla... | xinnosuke/Halite-II-pre-launch | tools/hlt_client/hlt_client/client.py | client.py | py | 7,191 | python | en | code | 0 | github-code | 54 |
2722566597 | import torch
import torch.nn as nn
import torch.nn.functional as F
from stable_diffusion.model.autoencoder import Autoencoder
from utils import *
class Polyffusion_Autoencoder(nn.Module):
def __init__(self, autoencoder: Autoencoder):
super(Polyffusion_Autoencoder, self).__init__()
self.device = "... | aik2mlj/polyffusion | polyffusion/models/model_autoencoder.py | model_autoencoder.py | py | 1,062 | python | en | code | 34 | github-code | 54 |
21663932470 | #!/usr/bin/env python3
"""Wrapper script for clazy."""
import sys
from typing import List
from .utils import StaticAnalyzerCmd
class ClazyCmd(StaticAnalyzerCmd):
"""Class for the clazy command."""
command = "clazy"
lookbehind = "clazy version "
def __init__(self, args: List[str]):
super()._... | dominikzaeuner/pre-commit-hooks | hooks/clazy.py | clazy.py | py | 894 | python | en | code | 0 | github-code | 54 |
25717741078 | import cv2
import matplotlib.pyplot as plt
import numpy as np
import pickle
import os.path
import glob
import math as m
def read_points(obj_file='obj_points.p', img_file='img_points.p', show=False, rewrite=False):
if os.path.isfile(obj_file):
obj_points = pickle.load(open(obj_file, 'rb'))
if os.path... | Daard/CarND-P4-Advanced-Lane-Lines | methods.py | methods.py | py | 13,623 | python | en | code | 0 | github-code | 54 |
22142733771 |
import sys
import pdb
import collections
def findDiag(mat: list[list[int]]) -> list[int]:
diag = collections.defaultdict(list)
M = len(mat)
N = len(mat[0])
for c in range(M):
for r in range(N):
diag[c+r].append(mat[c][r])
res = []
a=-1
for k,v in diag.items():
... | ranajikrishna/private | codes_algo/code_python/leetcode/diagonal_traversal.py | diagonal_traversal.py | py | 1,091 | python | en | code | 0 | github-code | 54 |
19686188042 | """题目：我们做了一个活动，根据用户的积分来抽奖，用户的积分都保存在一个数组里面
arr = [20, 34, 160, 2…]，数组下标就是用户的 ID，则这里：
ID 为 0 的用户的积分是 arr[0] 等于 20 分。
ID 为 1 的用户的积分是 arr[1] 等于 34 分。
请你设计一个抽奖算法，随机抽出一位中奖用户，要求积分越高中奖概率越高。
返回值是中奖用户的 ID
PS: 1<= arr.length <= 50000 且 1<= arr[i] <= 50000
代码写出算法，
并分析其时间复杂度，
为其编写尽量多 unit test。
FAQ：
我可以上网吗？－－ 可以，make you... | GerogeP/python | test/scored_random.py | scored_random.py | py | 3,035 | python | zh | code | 0 | github-code | 54 |
42425868952 | import cv2 as cv
from cv2 import aruco
import numpy as np
# declare the variable
MARKER_SIZE = 0.1 #pixel
dist_coef = np.zeros((4,1))
calib_data_path="./calib_data/MultiMatrix.npz"
calib_data=np.load(calib_data_path)
cam_mat=calib_data["camMatrix"]
r_vectors=calib_data["rVector"]
t_vectors=calib_data["tVec... | ngoquangtu/aruco | GAMEARUCO.py | GAMEARUCO.py | py | 2,809 | python | en | code | 0 | github-code | 54 |
28182063397 | from sys import stdin
from collections import deque
input = stdin.readline
n = int(input())
board = list(map(int, input().split()))
def solv():
q = deque([(0,0)])
visited = [False]*n
visited[0] = True
while q:
now,cnt = q.pop()
if now == n-1:
print(cnt)
return... | alsgh9948/Problem-Solving | baekjoon/11060.py | 11060.py | py | 561 | python | en | code | 0 | github-code | 54 |
70863255843 | #Day 2:
#Python program to find Fibonacci series up to n
#Step 1. Start
#Step 2. Take a user input and store into int type num variable.
#Step 3. Initialize n1, n2 variable to 0, 1.
#Step 4. Run a for loop starts from 2 to num value.
#Step 5. Inside for loop, using arithmetic addition method, and calculate the n3, whe... | githubmansi50/PrepCodes | day2_fibonacci.py | day2_fibonacci.py | py | 620 | python | en | code | 0 | github-code | 54 |
37618688310 | import pylab
import numpy as np
class DynamicPlot(object):
def __init__(self, groups=1, items=1, opacity=1, hatch=False):
self.groups = groups
self.items = items
self.hatch = hatch
self.opacity = opacity
self.font_size = 22
self.legend_font = 13
self... | ravi-0841/DynamicBarPlot | dynamic_plot.py | dynamic_plot.py | py | 4,177 | python | en | code | 0 | github-code | 54 |
16782602043 | n = int(input())
lst = list(map(int, input().split()))
ans1 = [0 for _ in range(n)]
ans2 = [0 for _ in range(n)]
lst.sort()
d = lst[:]
idx, step = n//2, 0
while lst:
ans1[idx + step] = lst.pop()
if lst:
ans1[idx - 1 - step] = lst.pop(0)
if step < 0:
step = - 1 - step + 1
else:
st... | yyytae0/algorithm-training | baekjoon/10819.py | 10819.py | py | 681 | python | en | code | 0 | github-code | 54 |
23423345863 | import tkinter as tk
from tkinter import RIGHT, ttk
from tkinter.messagebox import *
from tkinter.filedialog import *
class View(tk.Tk):
_title = " - Notepad"
_default_width = 1150
_default_height = 600
day_mode = "🌙"
_zoom = 1.6
default_size = 9
n_font = default_size
font_l... | eduardotrj/notepad-py | Main/view.py | view.py | py | 9,972 | python | en | code | 0 | github-code | 54 |
3102117525 | import pygame as pg
import requests
import os
import math
from Button import Button
from camera import *
from functions import can_move, load_level, load_image, near_store
from player import Player
from cell import Cell
from store import store
WIDTH = 500
HEIGHT = 500
WHITE = (255, 255, 255)
lst = load_level('t... | SkullCandby/SIMULATOR | main.py | main.py | py | 4,156 | python | en | code | 0 | github-code | 54 |
36216329500 | from jaxgeometry.setup import *
#%% Code
def MobiusAddition(x:Array,
y:Array,
K:float=1.
)->Array:
xy_dot = jnp.dot(x,y)
normx2 = jnp.dot(x,x)
normy2 = jnp.dot(y,y)
term1 = (1-K*(2*xy_dot-normy2))*x
term2 = (1+K*normx2)*y
term3... | FrederikMR/score_diffusion_mean | jaxgeometry/operators/Gyration.py | Gyration.py | py | 962 | python | en | code | 0 | github-code | 54 |
2768057192 | '''
处理定时操作和消息推送的函数集合
包括定时更新数据库，定时推送消息
'''
from django.http import HttpResponse
from django.http import JsonResponse
from django.http import FileResponse
from django.core.files.storage import default_storage
from django.core.files.base import ContentFile
#import numpy as np
#from io import BytesIO
import requests
impor... | SerCharles/THUAlumniWXMPBackend | backend/Alumni/DatabaseManager/TimeManager.py | TimeManager.py | py | 13,188 | python | en | code | 8 | github-code | 54 |
42594513117 | import gi
from events import Events
from fapolicy_analyzer.ui.strings import (
FILE_LIST_RULE_ID_HEADER,
FILE_LIST_PERM_HEADER,
ACCESS_ALLOWED_TOOLTIP,
ACCESS_DENIED_TOOLTIP,
)
from fapolicy_analyzer.ui.configs import Colors
from fapolicy_analyzer.ui.subject_list import SubjectList
gi.require_version(... | ctc-oss/fapolicy-analyzer | fapolicy_analyzer/ui/object_list.py | object_list.py | py | 3,594 | python | en | code | 8 | github-code | 54 |
24031517145 | def solve(a,d):
n = len(a)
i = n-1
while i>=0 and a[i]==d:
i-=1
d+=1
if i>0:
num = d
c = a[0:i+1]
gind = c.index(num)
flag=True
for j in range(gind+1,len(c)):
if c[j]!=c[j-1]+1:
flag = False
break
... | ethicalrushi/cp | cf/1341/c.py | c.py | py | 670 | python | en | code | 1 | github-code | 54 |
71888057442 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
from keras.preprocessing.image import ImageDataGenerator
import os
MAIN_PATH = 'Final_dataset_small'
val_datagen = ImageDataGenerator(rescale=1./255)
val_generator = val_datagen.flow_from_directory(
os.path.join(MAIN_PATH, '... | juanmacaaz/ecomate | Pruebas - Otros/show_distribution.py | show_distribution.py | py | 1,735 | python | en | code | 0 | github-code | 54 |
27385635099 | from django.shortcuts import render, render_to_response
from django.http import HttpResponse, HttpResponseRedirect
from django.template import RequestContext, loader
from django.contrib.auth import login
from django.contrib.auth.decorators import login_required, user_passes_test
from django.core.mail import send_mail
f... | upenu/oldWebsite | users/views.py | views.py | py | 18,643 | python | en | code | 4 | github-code | 54 |
18570776788 | import random
from torch.nn.functional import dropout, dropout2d, interpolate, avg_pool2d
import torch
class SamplePatch(object):
def __init__(self, size_min, size_max):
assert (
size_min <= size_max
), "size_min should be equal or smaller than size_max."
assert size_min >= 2,... | ekgren/StructuredDreaming | deprecated/utils.py | utils.py | py | 6,510 | python | en | code | 54 | github-code | 54 |
69900099362 | from common.myunit import StartEnd
from business.loginView import LoginView
import unittest
import logging
class TestLogin(StartEnd):
csv_file='../data/account.csv'
#@unittest.skip('test_login_zxw2018')
def test_login_zxw2018(self):
logging.info('======test_login_zxw2018=====')
l=LoginView... | zhao8445/Python_Test | test_case/test_login.py | test_login.py | py | 1,136 | python | en | code | 1 | github-code | 54 |
31416912141 | import math
a=float(input('Δώσε τιμή για το a:'))
b=float(input('Δώσε τιμή για το b:'))
c=float(input('Δώσε τιμή για το c:'))
d=(b**2)-(4*a*c)
if d<0:
print('Δεν υπάρχουν πραγματικές ρίζες')
elif d==0:
x=(-b+math.sqrt(b**2-4*a*c))/2*a
print('Μία λύση:',x)
else:
x1=(-b+math.sqrt((b**2)-(4*... | stamvas/coursity-tutorial | week2/άσκηση 2.1.py | άσκηση 2.1.py | py | 502 | python | el | code | 0 | github-code | 54 |
20604954921 | import yaml
import os.path
class Config:
def __init__(self, _path, _logger):
# Validate args.
if _path is None:
raise ValueError("No config path provided to Config.")
if _logger is None:
raise ValueError("No logger provided to Config.")
# Assign logger.
... | Aurorastation/ServerMonitor | ServerMonitor/Subsystems/Config.py | Config.py | py | 829 | python | en | code | 0 | github-code | 54 |
18836374008 | import os
def rename_file(oldfilepath,newname):
if os.path.exists(oldfilepath):
try :
newfilepath =os.path.join(os.path.dirname(os.path.abspath(oldfilepath)),newname)
print(newfilepath,'abcd')
print(oldfilepath,newname)
os.rename(oldfilepath,newfilepath)
... | zhuyurain888/python_test | home_work/day04/Newdir.py | Newdir.py | py | 597 | python | en | code | 0 | github-code | 54 |
459953675 | import os
numeros = []
maior = 0
for num in range(0,5):
numeros.append(float(input(f'digite o numero {num + 1}: ')))
if num == 0:
maior = numeros[num]
else:
if numeros[num] > maior:
maior = numeros[num]
print(f'maior numero digitado: {maior}')
os.... | WilliamSampaio/ExerciciosPython | exerc31/31.py | 31.py | py | 337 | python | pt | code | 0 | github-code | 54 |
72002629603 | # -*- coding:utf-8 -*-
# @File :urls.py
# @Author:bc
# @Date :18-10-26
# @Desc :
from django.conf.urls import url
from . import views
urlpatterns = [
url(r"^image_codes/(?P<image_code_id>[\w-]+)/$", views.ImageCodeView.as_view()),
url(r"^mobiles/(?P<mobile>\d+)/count/$", views.ValidateMobileView.as_view()),... | itbc9527/small | meiduo_mall/meiduo_mall/apps/users/urls.py | urls.py | py | 598 | python | en | code | 0 | github-code | 54 |
35817031221 | import ftplib
import json
import os
import datetime
from datetime import timedelta
import httplib2
import urllib
import urllib2
sizeWritten = 0
totalSize = 0
domain = 'http://parcels.downers.us/'
def handleFTP(block):
global sizeWritten
global totalSize
sizeWritten += 1024 # this line fail because sizeW... | jkopi11/examples | python/dg_generics.py | dg_generics.py | py | 2,985 | python | en | code | 0 | github-code | 54 |
21786870981 | import pytest
from icevision.all import *
@pytest.fixture()
def record(samples_source):
record = BaseRecord(
(
BBoxesRecordComponent(),
InstancesLabelsRecordComponent(),
# InstanceMasksRecordComponent(),
FilepathRecordComponent(),
)
)
record... | airctic/icevision | tests/core/test_record.py | test_record.py | py | 6,195 | python | en | code | 839 | github-code | 54 |
71586200801 | """Prepare cycle gan datasets"""
import os
import argparse
import zipfile
from gluoncv.utils import download, makedirs
def parse_args():
parser = argparse.ArgumentParser(
description='Initialize Cycle Gan dataset.',
epilog='Example: python download_dataset.py --download-dir ./',
formatter_c... | dmlc/gluon-cv | scripts/gan/cycle_gan/download_dataset.py | download_dataset.py | py | 1,816 | python | en | code | 5,662 | github-code | 54 |
7194801888 | import datetime
from cerberus import Validator as _Validator
from sqlalchemy import inspect
from sqlalchemy.orm.collections import InstrumentedList
from sqlalchemy.exc import NoInspectionAvailable
def is_sqla_obj(obj):
"""Checks if an object is a SQLAlchemy model instance."""
try:
inspect(obj)
... | mbarakaja/saraki | saraki/utility.py | utility.py | py | 9,590 | python | en | code | 3 | github-code | 54 |
26921295500 | startYear = 1901
startMonth = 1
startDay = 1
endYear = 2000
endMonth = 12
endDay = 31
daycount = 0
monthLenArr = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
def checkLeap(year):
if (year % 4 == 0) and (year % 100 == 0) and (year % 400 == 0):
return True
elif (year % 100 == 0) and (year % 400 == ... | robinyn/python-projects | Counting_Sundays/countingsundays.py | countingsundays.py | py | 1,213 | python | en | code | 0 | github-code | 54 |
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