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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
16995335370 | # find GCD/HCF of two numbers
def fun(a, b):
res = min(a, b)
ans = None
for i in range(1, res + 1):
if a % res == 0 and b % res == 0:
ans = i
return ans
# using recursion
def funrecursive(a, b):
if b == 0:
return a
return fun(b, a % b)
if __name__ == '__main__':... | pvr30/DSA | Recursion/GCD_or_HCF.py | GCD_or_HCF.py | py | 376 | python | en | code | 2 | github-code | 6 |
6713722350 | from __future__ import print_function, division
import time
from floor_plans.visualize import View
from floor_plans.floorplan import FloorPlan
from floor_plans import polygon
from floor_plans.math_util import dist
from floor_plans import floorplan_statistics as fps
names = [
'SPEECH', 'ST', 'COMP LAB', 'PK',
... | joel-simon/evo_floorplans | test.py | test.py | py | 5,851 | python | en | code | 84 | github-code | 6 |
41589623453 | class MyError(Exception):
def __init__(self, stri):
self.stri = stri
def process(self):
if len(self.stri) < 5:
print("字符串长度小于5")
else:
print("咕咕咕")
try:
MEr = MyError("waaaa")
MEr.process()
except MyError as error:
print(error) | Wainemo/PythonPractice | 定义类继承Exception，判断输入字符串的长度是否小于5.py | 定义类继承Exception，判断输入字符串的长度是否小于5.py | py | 317 | python | en | code | 0 | github-code | 6 |
5387953203 | from telegram.ext import Updater, MessageHandler,Filters
from Adafruit_IO import Client
import os
aio = Client('adeebsheriff', os.getenv('adeebsheriff'))
def demo1(bot,update):
chat_id = bot.message.chat_id
path = 'https://cdn3.vectorstock.com/i/1000x1000/87/22/i-am-fine-lettering-typography-calligraphy-overlay-v... | adeebsheriff/telegramiotchatbot | app.py | app.py | py | 2,506 | python | en | code | 0 | github-code | 6 |
9020012724 | from multiprocessing import Pool
import math
from functools import partial
import numpy as np
from pyfaidx import Fasta, Faidx
import subprocess
import pysam
from liftoff import aligned_seg, liftoff_utils
from os import path
def align_features_to_target(ref_chroms, target_chroms, args, feature_hierarchy, liftover_typ... | agshumate/Liftoff | liftoff/align_features.py | align_features.py | py | 13,119 | python | en | code | 360 | github-code | 6 |
39830016444 | #정렬 : 데이터를 특정한 기준에 따라 순서대로 나열하는것
#1.선택정렬 : 처리되지 않은 데이터 중에서 가장 작은 데이터를 선택해 맨 앞에 있는 데이터와 바꾸는 것을 반복 - O(N^2)
array = [7, 5, 9, 0, 3, 1, 6, 2, 4, 8]
print(array)
for i in range(len(array)):
min_idx = i
for j in range(i + 1, len(array)):
if array[min_idx] > array[j]:
min_idx = j
array[i], a... | omg7152/CodingTestPractice | Algorithm/Sort.py | Sort.py | py | 1,977 | python | ko | code | 0 | github-code | 6 |
7722787082 | from spynnaker.pyNN import exceptions
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
from spynnaker.pyNN.models.neural_properties.synaptic_list import SynapticList
from spynnaker.pyNN.models.neural_properties.synapse_row_info \
import SynapseRowInfo
import... | ominux/sPyNNaker | spynnaker/pyNN/models/neural_projections/connectors/from_list_connector.py | from_list_connector.py | py | 3,525 | python | en | code | null | github-code | 6 |
12791911896 | from django.contrib.auth.models import User
from django.http import JsonResponse, Http404
from django.shortcuts import redirect, get_object_or_404
from django.urls import reverse
from django.utils.decorators import method_decorator
from django.views.generic import DetailView, CreateView, View, TemplateView, DeleteView
... | skazancev/NeKidaem | project/blog/views.py | views.py | py | 3,548 | python | en | code | 0 | github-code | 6 |
75241434428 | __all__ = ["save", "load", "load_state_dict", "arange", "cat", "cos", "clamp", "Device", "from_numpy", "flatten",
"LongTensor", "matmul", "mm", "normal", "ones", "x2ms_pow", "sin", "tanh", "x2ms_tensor", "Tensor",
"split", 'as_tensor', 'argmax', 'Generator', 'sigmoid', 'rand', 'floor', 'bernoulli'... | Gufrannn/W-MAE | MindSpore/x2ms_adapter/__init__.py | __init__.py | py | 16,986 | python | en | code | 12 | github-code | 6 |
17908940134 | # Chapter 1
spam_amount = 0
print(spam_amount)
spam_amount += 4
if spam_amount > 0 :
print("But I don't want Any spam!")
viking_song = "spam " * spam_amount # spam spam spam spam
#viking_song = "spam " + spam_amount
print(viking_song)
print(spam_amount*4) # 16
print(float(str(spam_amount)*4)*4) #17776.0
print(ty... | data-droid/study | kaggleLearn/python.py | python.py | py | 1,826 | python | en | code | 6 | github-code | 6 |
35413864969 | import multiprocessing
from multiprocessing import Process
from cleanup import TwitterCleanuper
from preprocessing import TwitterData
from word2vec import Word2VecProvider
import pandas as pd
def preprocess(results, data_path, is_testing, data_name, min_occurrences=5, cache_output=None):
twitter_data = TwitterData... | michal0janczyk/information_diffusion | fuzzy_logic/word_2_vectors/main.py | main.py | py | 7,484 | python | en | code | 1 | github-code | 6 |
9373814970 | '''
다음은 ISLR패키지의 Carseats 데이터 세트이다.
매출(Sales)의 이상값을 제외한 데이를 훈련 데이터로 선정할 때
Age의 표준편차를 구하시오.
(이상 값은 평균보다 1.5표준편차이하이거나 이상인 값으로 선정한다.
'''
import pandas as pd
data = 'Carseats.csv'
df = pd.read_csv(data)
#print(df)
#print(df.info())
#print(df.describe())
chk = df.Sales.std()
#print(chk)
train = df[(df.Sales ... | JoinNova/PracticeBigdata_Python | 0143.py | 0143.py | py | 1,594 | python | ko | code | 0 | github-code | 6 |
71844650429 | from django.conf import settings
from django.urls import NoReverseMatch, reverse
def get_slug_or_pk(object, slug_field=None):
res = dict()
field = slug_field if hasattr(object, slug_field) else "pk"
if object:
param = "slug" if hasattr(object, slug_field) else "pk"
res.update({param: getat... | dbsiavichay/faclab | viewpack/shortcuts.py | shortcuts.py | py | 1,595 | python | en | code | 0 | github-code | 6 |
3539820868 | """
Name : portfolio_optimizer.py
Author : Yinsen Miao
Contact : yinsenm@gmail.com
Time : 7/21/2021
Desc: Solve mean-variance optimization
"""
import numpy as np
import pandas as pd
from scipy.optimize import minimize
from gerber import gerber_cov_stat1, gerber_cov_stat2
from ledoit import ledoit
def set_eps_wgt... | yinsenm/gerber | src/portfolio_optimizer.py | portfolio_optimizer.py | py | 13,193 | python | en | code | 49 | github-code | 6 |
37283667870 | # Importing modules
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
import joblib
import findspark
findspark.init()
from pyspark.sql import SparkSession
from pyspark.ml import PipelineModel
from pyspark.sql.functions import *
# Configure spark session
spark = SparkSession\
... | ramsundar07/Earthquake-Detetection-Analysis-using-Machine-Learning-Algorithms | GUI/gui_algorithm.py | gui_algorithm.py | py | 8,670 | python | en | code | 0 | github-code | 6 |
28969789667 | import machine
import picoweb
import ujson
import ulogging as logging
import ure as re
import utime
from common import config
app = picoweb.WebApp(__name__)
hooks = {}
CONFIGURE_DEVICE_HOOK = 'CONFIGURE_WIFI'
CONFIGURE_AWS_HOOK = 'CONFIGURE_AWS'
CONFIGURE_SENSOR_HOOK = "CONFIGURE_SENSOR"
GET_STATUS_HOOK = 'GET_STATU... | wizzdev-pl/iot-starter | MicroPython/src/web_server/web_app.py | web_app.py | py | 5,324 | python | en | code | 7 | github-code | 6 |
43224823277 | from javax import swing
from java.awt import BorderLayout, Dimension
from java.awt.event import KeyEvent
from javax.swing import JFrame, JScrollPane, JPanel, JTable, JList, ListSelectionModel
from javax.swing.event import ListSelectionListener
from javax.swing.table import DefaultTableModel
class TableApp:
... | texttest/storytext-selftest | swing/tables/row_header_list_select_all_cells/target_ui.py | target_ui.py | py | 2,132 | python | en | code | 0 | github-code | 6 |
7268607481 | def serialize_categories(categories) -> list:
output = []
for category in categories:
categories_data = {
"id": category.id,
"name": category.name,
"description": category.description,
"tasks": []
}
for task in category.tasks:
... | Kenzie-Academy-Brasil-Developers/q3-sprint5-matriz-eisenhower-RobsonMT | app/services/serialize_categories_service.py | serialize_categories_service.py | py | 691 | python | en | code | 0 | github-code | 6 |
11702399982 | import md5
import random
#from settings import SOLRSOLR_HOST, SOLR_PORT
# Make this unique, and don't share it with anybody.
SECRET_KEY = 'j*zdirg7yy9@q1k=c*q!*kovfsd#$FDFfsdfkae#id04pyta=yz@w34m6rvwfe'
def generate_hash():
hash = md5.new()
hash.update("".join(map(lambda i: chr(random.randint(0, 255)), range(16... | bioinformatics-ua/montra | emif/insert_script.py | insert_script.py | py | 2,771 | python | en | code | 7 | github-code | 6 |
21981363351 | # -*- coding: utf-8 -*-
import unittest
import os
import time
os.environ["TESTING_LDT"] = "TRUE"
import ldt
from ldt.helpers.ignore import ignore_warnings
class Tests(unittest.TestCase):
'''
The tests in this block inspect the MetaDictionary functionality:
combining WordNet and Wiktionary data.
'''
... | annargrs/ldt | ldt/tests/dicts/morphology/test_meta.py | test_meta.py | py | 3,709 | python | en | code | 16 | github-code | 6 |
72568366267 | #!/usr/bin/env python
import seaborn
import numpy as np
import os
from collections import OrderedDict
import pandas as pd
import matplotlib.pyplot as plt
import sys
from termcolor import cprint
# Load data
# Global vars for tracking and labeling data at load time.
exp_idx = 0
label_parser_dict = None
smooth_factor =... | flowersteam/social-ai | data_analysis_neurips.py | data_analysis_neurips.py | py | 22,418 | python | en | code | 5 | github-code | 6 |
33038113455 | """Config flow for Withings."""
import logging
import voluptuous as vol
from withings_api.common import AuthScope
from homeassistant import config_entries
from homeassistant.components.withings import const
from homeassistant.helpers import config_entry_oauth2_flow
_LOGGER = logging.getLogger(__name__)
@config_ent... | 84KaliPleXon3/home-assistant-core | homeassistant/components/withings/config_flow.py | config_flow.py | py | 2,112 | python | en | code | 1 | github-code | 6 |
16106094065 |
from .color import cm_benj
def setup_args_scanpy(ap):
ap.add_argument("-f", "--figdir", default="figures")
ap.add_argument("--dpi", type=int, default=600)
ap.add_argument("--frameon", dest="frameon", action="store_true")
ap.add_argument("--no-frameon", dest="frameon", action="store_false")
ap.add_... | KellisLab/benj | benj/setup_scanpy.py | setup_scanpy.py | py | 986 | python | en | code | 2 | github-code | 6 |
4330376900 | def solution(arr1, arr2):
answer = []
for i in range(len(arr1)):
a1 = arr1.pop(0)
a2 = arr2.pop(0)
num = [x + y for x, y in zip(a1, a2)]
answer.append(num)
return answer
arr1 = [[1, 2], [2, 3]]
arr2 = [[3, 4], [5, 6]]
arr3 = [[1], [2]]
arr4 = [[3], [4]]
print(solution(ar... | wold21/python_algorithm | 프로그래머스/코딩테스트/Level1/행렬의 덧셈.py | 행렬의 덧셈.py | py | 359 | python | en | code | 0 | github-code | 6 |
40139751051 | from PIL import Image
img = Image.open("UnoDeck2.png")
i = 0
for y in range(6):
j = 2
k = 3
for x in range(12):
if i == 64:
break
left = 0
top = 0
height = 256
width = 166
box = (width+j)*x, (height+k)*y, width*(x+1)+(j*x), height*... | CrazyScorcer/ImageCutter | imageCut.py | imageCut.py | py | 472 | python | en | code | 0 | github-code | 6 |
26485545082 | ######## Tensorflow Imaage Classifier #########
#
# Author: Erik Handeland Date: 12/12/2021
# Description: This program uses a TensorFlow Lite object detection model-metadata to
# perform object detection on an image. It creates a dict containing a
# list of detected objects and the count for each object. It also save ... | KB4YG/ml | obj_detection/obj_detection.py | obj_detection.py | py | 9,890 | python | en | code | 1 | github-code | 6 |
32639606030 | import unittest
from selenium import webdriver
from selenium.webdriver.common.by import By
class AddRemoveElements(unittest.TestCase):
def setUp(self) -> None:
self.driver = webdriver.Chrome(executable_path="chromedriver")
self.driver.get('https://the-internet.herokuapp.com/')
self.dr... | yorlysoro/intro_selenium_course | test_add_remove.py | test_add_remove.py | py | 1,436 | python | en | code | 0 | github-code | 6 |
30478333670 | class Node:
def __init__(self, data):
self.data = data
self.next = None
class MyQueue:
def __init__(self):
self.head = None
self.tail = None
def push(self, item):
item_node = Node(item)
if self.head is None or self.tail is None:
... | prabhat-gp/GFG | Stacks and Queues/Queues/2_implement_queue_ll.py | 2_implement_queue_ll.py | py | 679 | python | en | code | 0 | github-code | 6 |
15624457572 | import numpy as np
from keras.utils import to_categorical
from sklearn.model_selection import train_test_split
test_size = 0.2
seed = 42
x_data = np.load('./data/soja_images_150_new.npy', allow_pickle=True)
y_data = np.load('./data/soja_labels_150_new.npy', allow_pickle=True)
x_data = x_data.astype(np.float32)
y_da... | nagahamaVH/soybean-image-classif | app/src/prepare_data.py | prepare_data.py | py | 741 | python | en | code | 1 | github-code | 6 |
14894176437 | import asyncio
import os
import os.path
from flask import Flask, request, send_from_directory, flash, request
from werkzeug.utils import secure_filename
import getpass
import platform
from flask_cors import CORS
from scripts.datascript import Datascript
from scripts.CalcoloScostamentiSenzaIntermedi import ScostamentiSe... | VinciGit00/SCGProject | Frontend/flask_code/app.py | app.py | py | 3,160 | python | en | code | 2 | github-code | 6 |
887825257 | from django.shortcuts import render, redirect
from django.http import Http404, JsonResponse
from django.views import View
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
# Decorators
from django.utils.decorators import method_decorator
from django.views.decorators.csrf i... | analitika-tech/library | system/frontend/views.py | views.py | py | 14,674 | python | en | code | 1 | github-code | 6 |
16505295497 | from typing import List, Dict, Tuple
def create_chirp_dictionary(file_name: str) \
-> Dict[int, Tuple[int, str, List[str], List[int], List[int]]]:
"""
Opens the file "file_name" in working directory and reads the content into a
chirp dictionary as defined on Page 2 Functions 2.
Note, some spac... | kimber1y-tung/CSC108 | assignment3/A3-2.py | A3-2.py | py | 2,659 | python | en | code | 0 | github-code | 6 |
4242214840 | from predict_utility import load_checkpoint,get_input_args,predict,process_image
from utility_module import label_mapping
import warnings
warnings.filterwarnings("ignore")
from prettytable import PrettyTable
x = PrettyTable()
args = get_input_args()
model = load_checkpoint(args.checkpoint)
top_ps,top_class = predict... | rkg-37/ImageClassifier | predict.py | predict.py | py | 654 | python | en | code | 0 | github-code | 6 |
10887477924 | def bubble_sortiranje(niz):
privremeno = 0
duzina = len(niz)
for i in range(0, duzina - 1): #ide do pretposlednjeg jer od poslednjeg nema nista desno
for j in range(0, (duzina - 1) - i):
if(niz[j] > niz[j + 1]):
privremeno = niz[j]
niz[j] = niz[j + 1]... | marko-smiljanic/vezbanje-strukture-podataka | vezbanje-strukture-podataka/Domaci-PREDAVANJA/domaci3_sortiranje/test_sort.py | test_sort.py | py | 909 | python | bs | code | 0 | github-code | 6 |
35083479163 | dic = ["a", "b", "c", "d" , "e" , "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
chars = ['O','Q','R','S']
z, i, x = 0, 0, 0
if chars[0].istitle():
z = 1
dic = [element.upper() for element in dic]
while chars[x] != dic[i]:
i += 1
for item in chars:... | diogodh/codewars_py | missing_letter.py | missing_letter.py | py | 481 | python | en | code | 0 | github-code | 6 |
38978357115 | import socket
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind(('localhost', 9999))
s.listen(1)
while True:
cli, (remhost, remport) = s.accept()
print("Nhan ket noi tu", remhost)
msg = "Hello %s\n" %remhost
cli.send(msg.encode('ascii'))
cli.close() | DuongHongDoan/CT225_LTPython | Buoi3_LTMang/Bai46_HelloServer.py | Bai46_HelloServer.py | py | 282 | python | en | code | 0 | github-code | 6 |
71484411388 | import sys
sys.setrecursionlimit(3000)
def check(rs, cs):
table[rs][cs] = 2
if (rs, cs) == (rg, cg): return True
if rs > 0 and table[rs - 1][cs] == 1 and check(rs - 1, cs):
return True
if cs > 0 and table[rs][cs - 1] == 1 and check(rs, cs - 1):
return True
if rs < r - 1 and table[rs... | knuu/competitive-programming | atcoder/corp/codethxfes2014b_e.py | codethxfes2014b_e.py | py | 994 | python | en | code | 1 | github-code | 6 |
26039884706 | from __future__ import annotations
from dataclasses import dataclass
from pants.backend.go.subsystems.golang import GolangSubsystem
from pants.core.util_rules.system_binaries import (
BinaryPath,
BinaryPathRequest,
BinaryPaths,
BinaryPathTest,
)
from pants.engine.engine_aware import EngineAwareParamet... | pantsbuild/pants | src/python/pants/backend/go/util_rules/cgo_binaries.py | cgo_binaries.py | py | 1,235 | python | en | code | 2,896 | github-code | 6 |
71226682109 | import os, glob
from fpdf import FPDF
class Pdf_Tool:
def __init__(self, format):
self.pdf = FPDF(format=format)
def save(self, dir, pdf_name):
if not os.path.exists(dir):
os.makedirs(dir)
self.pdf.output(os.path.join(dir, pdf_name), "F")
def create(self, img_path_li... | huangzf128/something | code/python/image/pdf_tool.py | pdf_tool.py | py | 888 | python | en | code | 0 | github-code | 6 |
16439872003 | from flask import Flask
import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
import os
inbodyDf = pd.read_csv(os.path.join(os.path.dirname(__file__), os.pardir, 'data', 'inbody.csv'))
courseDf = pd.read_csv(os.path.join(o... | yuwon-shin/Data_Visualization | PR/flask/useDash.py | useDash.py | py | 9,696 | python | en | code | 0 | github-code | 6 |
28624119358 | import cartopy
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import numpy as np
def plot_geodetic(location_to_geodetic, edxml_parser):
# get names and geodetics for plotting
locs = np.asarray(list(location_to_geodetic.keys()))
geodetic_coords = np.asarray(list(location_to_geodetic.values()))
... | pnadelofficial/HistoricalLetters | plot.py | plot.py | py | 2,774 | python | en | code | null | github-code | 6 |
17241327801 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import requests
from bs4 import BeautifulSoup
import time
BASE_URL = 'https://www.nowcoder.com'
driver = webdriver.Chrome(... | Chunar5354/interview_note | experience/spider.py | spider.py | py | 1,566 | python | en | code | 1 | github-code | 6 |
32693212351 | '''
Created on Mar 30, 2010
@author: kwadwo
'''
from OutsideLibrary.table_parser import TableParser
from OutsideLibrary import ClientForm
from courseLib import *
import urllib2
def getStuff():
mnemonic = raw_input("input course Mnemonic (ex:'math')")
number = raw_input("input course number")
response... | code4ghana/randomPrograms | PythonPrograms/SISScheduler/src/CourseLib/Runner.py | Runner.py | py | 2,280 | python | en | code | 1 | github-code | 6 |
39019051320 | import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription, conditions
from launch.actions import ExecuteProcess,RegisterEventHandler, IncludeLaunchDescription
from launch_ros.actions import Node
from launch.substitutions import LaunchConfiguration,Command
from l... | kei1107/r2d2_ros2 | r2d2_control/launch/r2d2_control6.launch.py | r2d2_control6.launch.py | py | 3,223 | python | en | code | 1 | github-code | 6 |
74050593789 | from urllib.request import Request, urlopen
from bs4 import BeautifulSoup
import sqlite3
from time import sleep
imgchrList = ['n','a','e','m','i','g','h','v']
DiffList = ['nov','adv','exh','mxm','inf','grv','hvn','vvd']
conn = sqlite3.connect("SDVXRanking.db")
cur = conn.cursor()
for tid in range(164,1412):
prin... | limjungho/SDVXRanking | ParsingTrackList.py | ParsingTrackList.py | py | 1,365 | python | en | code | 0 | github-code | 6 |
3999827011 | import PySimpleGUI as sg # Simple GUI for Python
import core
import guiElements
import constants as const
# Setup the simple window
sg.theme("Black")
layout = [
[guiElements.frameSelectJobAndZone],
[guiElements.frameSelectResource],
[guiElements.frameAssignAKey],
[guiElements.layoutStatusAndStartS... | jhriverasa/wakfu-farmscript | FarmScriptGUI.py | FarmScriptGUI.py | py | 1,235 | python | en | code | 5 | github-code | 6 |
75316047546 | import wx
from ..form.general import GeneralDialog
from ..textbox import LayoutDimensions
from ..textbox.textbox import TextInputLayout, TextSmartBox
from ..textbox.floatbox import FloatInputLayout, FloatSmartBox
from ..controller import ChildController
from ..model.bind import BindOjbect
__author__ = 'Joeny'
clas... | JoenyBui/boa-gui | boaui/chart/dlg.py | dlg.py | py | 8,601 | python | en | code | 0 | github-code | 6 |
33648598241 | from __future__ import annotations
from dataclasses import dataclass
from typing import Optional
import re
import string
@dataclass
class Equipment:
title: str
value: str
unit: Optional[str] = None
quantity: Optional[int] = None
_equipment = [
("Backpack", "2gp"),
("Candle", "1cp"),
("Ch... | sethwoodworth/crawl-classic | crawl_classic/equipment.py | equipment.py | py | 1,581 | python | en | code | 3 | github-code | 6 |
35754868132 | # Задайте список из N элементов, заполненных числами из промежутка [-N, N].
# Найдите произведение элементов на указанных индексах. Индексы вводятся одной строкой, через пробел.
# n = 3 [-3, -2, -1, 0, 1, 2, 3] --> 0 2 3
# -3 * -1 * 0 = 0 Вывод: 0
N = int(input('Введите значение N = '))
position_1 = int(input('Введите... | Natalie-4/task2 | 4.py | 4.py | py | 1,130 | python | ru | code | 0 | github-code | 6 |
17651848697 | # coefficients in Zp
def Z_p(n, co_eff_lst):
co_eff_Zp = []
for lst in co_eff_lst:
co_eff_Zp.append([i % n for i in lst])
return co_eff_Zp
# generating polynomial
# return Tn(x) mod m
def Tn_Zm(n, m, x):
co_eff = co_eff_lst[n-1]
sum = 0
for i in co_eff:
sum += i * x**n
... | 6taco-cat9/chebyshev_polynomials | generating_function.py | generating_function.py | py | 580 | python | en | code | 0 | github-code | 6 |
3883274800 | class Solution:
def maxSubArray(self, nums: List[int]) -> int:
if not nums:
return 0
curSum = nums[0]
maxSum = curSum
for num in nums[1:]:
curSum = curSum + num if curSum > 0 else num
maxSum = maxSum if maxSum > curSum else curSum
... | fatzero/Leetcode-Problems | 1-100/53.maximum-subarray.py | 53.maximum-subarray.py | py | 343 | python | en | code | 0 | github-code | 6 |
780574891 | from nltk.tokenize import TweetTokenizer
class LexiconFeatureExtractor:
def __init__(self, afinn_lexicon_file_path="resources/lexicons/AFINN-en-165.txt",
afinn_emoticon_lexicon_file_path="resources/lexicons/AFINN-emoticon-8.txt",
bing_liu_lexicon_file_path="resources/lexicons/Bin... | erayyildiz/AffectInTweets | src/lexicon_features.py | lexicon_features.py | py | 5,989 | python | en | code | 3 | github-code | 6 |
12830949060 | # Definition for a Node.
from collections import deque
from typing import List
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
class Solution:
def preorder(self, root: Node) -> List[int]:
output = []
if root is None:
... | theRobertSan/LeetCode-Solutions-Python | 589.py | 589.py | py | 996 | python | en | code | 1 | github-code | 6 |
9264213572 | import mne
import argparse
import numpy as np
from config import fname
# Handle command line arguments
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('subject', metavar='sub###', type=int, help='The subject to process')
args = parser.parse_args()
subject = args.subject
print('Processing subj... | wmvanvliet/beamformer_simulation | megset/03_ica.py | 03_ica.py | py | 2,047 | python | en | code | 4 | github-code | 6 |
7759954850 | '''
사업자등록번호로 업종 확인
'''
import csv
import json
from urllib.request import urlopen
from urllib import parse
import datetime as dt
import pandas as pd
import numpy as np
import re
# 대신정보통신 4088118945
# 대보정보통신 1358119406
bizNo = '2118108009'
# 조달청_사용자정보서비스
'''
> parameter(조회조건)
- bizno : 사업자등록번호
> numOfRows 는 totalCount ... | starrything/openapi-g2b | 04_g2b_user_service.py | 04_g2b_user_service.py | py | 2,354 | python | en | code | 0 | github-code | 6 |
32010864325 | def deep_find(data, key):
if key in data:
return data[key]
for k, v in data.items():
if isinstance(v, dict):
item = deep_find(v, key)
if item is not None:
return item
# elif isinstance(v, list):
# for d in v:
# for resul... | 1oss1ess/HackBulgaria-Programming101-Python-2018 | week-8/Graphs/t1.py | t1.py | py | 882 | python | en | code | 0 | github-code | 6 |
14434842726 | import numpy as np
m = [[0] * 4 for i in range(4)]
dx, dy = [0, 1, 0, -1], [1, 0, -1, 0]
x, y, c = 0, -1, 1
for i in range(4 + 4 - 2):
for j in range((4 + 4 - i) // 2):
x += dx[i % 4]
y += dy[i % 4]
m[x][y] = c
c += 1
BOARD_LENGTH = 4
GOAL_STATE = np.array(m)
def goal_on_row(num, i):
for j in range(BOAR... | cuzureau/n_puzzle | stack.py | stack.py | py | 1,922 | python | en | code | 1 | github-code | 6 |
41160046527 | from django import forms
from django.core.mail import EmailMessage
from .models import Householdaccountbook
# class HouseholdaccountbookForm(forms.ModelForm):
# class Meta:
# model = Householdaccountbook
# fields = ["pref","choice",]
class TableCreateForm(forms.ModelForm):
class Meta:
model = Househol... | HaruShim/Sotuken | 実装/新満/table一覧表示/table/forms.py | forms.py | py | 777 | python | en | code | 0 | github-code | 6 |
30857567174 | import pyautogui
import webbrowser as web
import time
msg = input('enter message to send: ')
times = int(input('enter the number of times to send the message: '))
# win_chrome_path = 'C:\Program Files\Google\Chrome\Application\chrome.exe %s'
# web.get(win_chrome_path).open('web.whatsapp.com')
web.open('web.whatsapp.... | Abdul-Hannan12/Whatsapp-Automation | spam_message.py | spam_message.py | py | 471 | python | en | code | 0 | github-code | 6 |
5619572961 | from decimal import Decimal
class Account:
"""
Account class maintain information and balance about each account
******Arguments******
firstname:string
lastname:string
national id number:string with 10 numbers
birthdate:string in the form of ##/##/####
balance:integer greate... | MortezaGhandchi/stock-oop-pandas | Stock_Project_AP.py | Stock_Project_AP.py | py | 9,814 | python | en | code | 0 | github-code | 6 |
7921803967 | year = 1799
birthday = '6 июня'
year_people= int(input('А вы знаете год рождения А.С.Пушкина?: '))
while year_people != year:
year_people = int(input('Еще раз попробуйте: '))
if year_people == year:
birthday_people = input('А день рождения?: ')
while birthday_people != birthday:
birthday_peo... | Lyubov-Tuz/basic_python | borndayforewer.py | borndayforewer.py | py | 503 | python | ru | code | 0 | github-code | 6 |
10584185740 | import numpy as np
def gaussseidel_1d(rho, hx, epsilon, maxiter, maxerr):
if rho.ndim != 1:
raise ValueError("rho must be of shape=(n,)")
phi = np.zeros(shape=rho.shape, dtype=rho.dtype)
nx = rho.shape[0]
mr = hx * hx / epsilon
for iteration in range(maxiter):
error = 0.0
fo... | LeonKlein/urban-broccoli | urbanbroccoli/gaussseidel.py | gaussseidel.py | py | 3,089 | python | en | code | null | github-code | 6 |
28412951714 | #!/usr/bin/env python
import sys, os, shlex
import multiprocessing as mp
import subprocess as sp
from pli.lib.util import log
def find_files(root):
outdir = 'tmpout'
for curdir, dirs, files in os.walk(root):
protein_fname = None
ligand_fname = None
for f in files:
if f.end... | rhara/plifinder | examples/plifinder_v2015.py | plifinder_v2015.py | py | 1,504 | python | en | code | 0 | github-code | 6 |
25272817830 | import sys
from itertools import combinations
from collections import deque
def move(stage):
for i in range(M):
for j in range(N-1, 0, -1):
enemy[j][i] = enemy[j-1][i]
if stage == 0:
for i in range(M):
enemy[0][i] = 0
dr = [0, -1, 0]
dc = [-1, 0, 1]
N, M, D = map(int,... | powerticket/algorithm | Baekjoon/17135.py | 17135.py | py | 1,842 | python | en | code | 0 | github-code | 6 |
19386134805 | import argparse
import json
import os
import sys
import numpy as np
import torch
from plyfile import PlyData, PlyElement
from torch.utils.data import DataLoader
from tqdm import tqdm
sys.path.append(os.path.join(os.getcwd())) # HACK add the root folder
from utils.pc_utils import write_ply_rgb
from utils.box_util im... | nseppi/scan2cap | scan2cap/scripts/visualize_pretrain.py | visualize_pretrain.py | py | 15,949 | python | en | code | 1 | github-code | 6 |
1375960664 | # -*- coding: utf-8 -*-
import numpy as np
from deap import algorithms
from deap import base
from deap import creator
from deap import tools
from deap import gp
from deap.algorithms import varAnd
from adan.aiem.genetics.evaluators import *
import array
import random as traditional_random
#import pathos
import pathos... | stelios12312312/ADAN | adan/aiem/genetics/genetic_programming.py | genetic_programming.py | py | 16,827 | python | en | code | 0 | github-code | 6 |
28664991218 | m = int(input("Enter your marks : "))
if(m >= 90 and m <= 100):
print("Exelent")
elif(m >= 80 and m <= 89):
print("A Grade")
elif(m >= 70 and m <= 79):
print("B Grade")
elif(m >= 60 and m <= 69):
print("C Grade")
elif(m >= 50 and m <= 59):
print("D Grade")
elif(m < 50):
print("Fail")
#********... | vikaskr-gupta/Python | 6 Conditional Expression/9B_Problem_06.py | 9B_Problem_06.py | py | 718 | python | en | code | 1 | github-code | 6 |
74959980988 | """system URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | amir-rahim/ChessClubManagementSystem | system/urls.py | urls.py | py | 3,313 | python | en | code | 1 | github-code | 6 |
7763839215 | from Monitor import Monitor
import MonitorVarTypes
import requests
monitor_var = {'PreviousClosingPrice': MonitorVarTypes.FLOAT}
monitor_text = "URL FORMAT: https://api.polygon.io/v2/aggs/ticker/{TICKER}/prev?apiKey={APIKEY}; \nGo to https://polygon.io/docs/get_v1_meta_symbols__stocksTicker__news_anchor for more info... | YuHanjiang/IFTTT-backend | Monitors/PolygonStockAPIMonitor.py | PolygonStockAPIMonitor.py | py | 881 | python | en | code | 1 | github-code | 6 |
41996069005 | import logging
import platform
import sys
import json
from getpass import getpass
from pathlib import Path
from typing import Union, Dict, Tuple
from shapely.geometry import Polygon
import os
import couchdb
import xmltodict
from lxml import etree
from tqdm import tqdm
from geojson_rewind import rewind
logging.basicC... | metno/weamyl-metcap | scripts/lustre_archive_importer.py | lustre_archive_importer.py | py | 8,431 | python | en | code | 0 | github-code | 6 |
4406242971 | import random
def max_lenght_of_sub_array_with_sum0(arr, k):
if arr is None or len(arr) == 0 or k <= 0:
return 0
ans = 0
for i in range(len(arr)):
for j in range(i, len(arr)):
if k == sum(arr[i:j+1]):
ans = max(ans, j-i+1)
return ans
def max_lenght_of_su... | guzhoudiaoke/data_structure_and_algorithms | coding_interview_guide/8_array_and_matrix/10/10.py | 10.py | py | 1,186 | python | en | code | 0 | github-code | 6 |
4915045825 | def sum_diagonal(data):
data = sum([int(i) for i in data])
return data
n = int(input())
matrix = [input().split(", ") for _ in range(n)]
first_diagonal = [matrix[row_index][col_index] for row_index in range(len(matrix)) for col_index in
range(len(matrix[row_index])) if row_index == col_index... | M0673N/Python-Advanced | 04_comprehensions/exercise/05_problem.py | 05_problem.py | py | 703 | python | en | code | 0 | github-code | 6 |
25146242563 | import numpy as np
import netCDF4 as nd
import matplotlib.pyplot as plt
from calc_irr import *
def get_sample_points(origin, dir , ns=10):
gps = np.zeros((origin.shape[0],dir.shape[0]))
gps[0] = np.tan(dir/180.*np.pi) * origin[2] + origin[0]
gps[1,:] = origin[1]*1
gps[2,:] = 0
ds = np.linspace(0,... | MujkanovicMax/master-thesis | radiances/raytr.py | raytr.py | py | 3,788 | python | en | code | 0 | github-code | 6 |
27103187909 | """Fedor's Upper Envelope algorithm.
Based on the original MATLAB code by Fedor Iskhakov:
https://github.com/fediskhakov/dcegm/blob/master/model_retirement.m
"""
from typing import Callable
from typing import Dict
from typing import List
from typing import Tuple
import numpy as np
from dcegm.interpolation import lin... | OpenSourceEconomics/dcegm | tests/utils/upper_envelope_fedor.py | upper_envelope_fedor.py | py | 28,814 | python | en | code | 15 | github-code | 6 |
14169799786 | import random
import numpy as np
class Tablica:
def __init__(self, size):
self.size = size
self.plansza = [[-1 for y in range(self.size)] for x in range(self.size)]
self.generate()
self.generate()
self.nextLeft = self.plansza
self.nextRight = self.plansza... | tomasz-skrzypczyk/My2048 | tablica.py | tablica.py | py | 4,370 | python | en | code | 0 | github-code | 6 |
71484464508 | N = int(input())
P = list(map(int, input().split()))
max_point = sum(P)
dp = [False] * (max_point + 1)
dp[0] = True
for p in P:
dp_next = dp[:]
for i in range(max_point):
if dp[i]: dp_next[i+p] = True
dp = dp_next[:]
print(dp.count(True))
| knuu/competitive-programming | atcoder/dp/tdpc_a.py | tdpc_a.py | py | 260 | python | en | code | 1 | github-code | 6 |
17607810708 | from calendar import c
n = int(input("enter the number :"))
r = 1
while r<=n:
c = 1
while c<=r:
print(chr(65+r+c+1))
c = c + 1
print()
r = r+1 | maheshyadav84481/Problem_solution_with_python_MAHESH_YADAV | abcd_reverse.py | abcd_reverse.py | py | 162 | python | en | code | 0 | github-code | 6 |
26818962506 | import json
import urllib
import requests
import types
class MovesAPIError(Exception):
"""Raised if the Moves API returns an error."""
pass
class MovesAPINotModifed(Exception):
"""Raised if the document requested is unmodified. Need the use of etag header"""
pass
class MovesClient(object):
"""... | lysol/moves | moves/_moves.py | _moves.py | py | 6,546 | python | en | code | 58 | github-code | 6 |
14975435890 | """DuerOS entity class."""
from __future__ import annotations
from dueros_smarthome.client import DeviceActionResponse
from dueros_smarthome.const import STATUS_OK, STATUS_NOT_LOGIN
from dueros_smarthome.models import Appliance, Connectivity
from homeassistant.core import callback
from homeassistant.exceptions import... | zsy056/dueros-ha | custom_components/dueros/entity.py | entity.py | py | 2,131 | python | en | code | 0 | github-code | 6 |
73340450429 | import string
import math
# ----------------------------------------------------
# Parameters: None
# Return: polybius_square (string)
# Description: Returns the following polybius square
# as a sequential string:
# [1] [2] [3] [4] [5] [6] [7] [8]
# [1] ! " #... | shuaibr/Encryption-and-Security | Polybius Square Cipher.py | Polybius Square Cipher.py | py | 3,099 | python | en | code | 0 | github-code | 6 |
72627151867 | import sys
import pandas as pd
import pmd
def get_system_info(csv_file, id):
print('ID:', id)
df = pd.read_csv(csv_file)
row = df['ID'] == int(id)
smiles = df.loc[row, 'SMILES'].item()
smiles_solvent = df.loc[row, 'SMILES_solvent'].item()
ratio = df.loc[row, 'Ratio'].item()
return smiles... | ritesh001/Polymer-Molecular-Dynamics | scripts/Solvent_diffusivity/mkinput_solvent.py | mkinput_solvent.py | py | 2,301 | python | en | code | 0 | github-code | 6 |
2785491141 | # 205. Isomorphic Strings
# Input: s = "egg", t = "add"
# Output: true
# Input: s = "foo", t = "bar"
# Output: False
# Input: s = "paper", t = "title"
# Output: true
# I learn to solve this after watching a solution video. so cool!
def isomorphic(s,t):
dict1, dict2 = {},{}
for i in range(len(s)):
... | Helenyixuanwang/algos | leet_205_isomorphicString.py | leet_205_isomorphicString.py | py | 621 | python | en | code | 0 | github-code | 6 |
7605645692 | #two dimensional
nlist=['kumar','krihna priya','athul','Ravi']
deglist=['developer','tester','junior developer','HR']
salary=[54000,40000,30000,55000]
emp={'name':nlist,'Designation':deglist,'Salary':salary}
print(emp['name'][0])
lg=len(emp)
print("Name,Designation,Salary")
for j in range(lg):
print(emp['n... | sathu341/pythonWork | Pythonworks/dictionary_emp.py | dictionary_emp.py | py | 378 | python | en | code | 0 | github-code | 6 |
6419648862 | import time
import mysql.connector as mysql
try:
datebase_sql = mysql.connect(
host="database-1.cqpxsublkhcn.eu-central-1.rds.amazonaws.com",
port=3306,
user="user1",
passwd="1Passw0rd1",
database="QAP-05",
)
except Exception as err:
print(err)
cur... | APOSHAml/My-pieces-of-code | Homework_26/test_sql.py | test_sql.py | py | 1,500 | python | en | code | 0 | github-code | 6 |
74531247866 | """ bst.py
Student: P.K Buddhika Chaturanga
Mail: bupa8694@student.uu.se
Reviewed by: Tom Smedsaas
Date reviewed: 2021-110-03
"""
from math import log2
from linked_list import LinkedList
class BST:
class Node:
def __init__(self, key, left=None, right=None):
self.key = key
self.le... | bupa8694/programming2 | Pyhton_Assignments/MA3/MA3/bst.py | bst.py | py | 10,192 | python | en | code | 1 | github-code | 6 |
5734551584 | from time import time
start = time()
def josephus(n):
if n == 0: return False
flag = n%2;
counter = 0
index = n-1
people = [1]*n
while True:
if sum(people) == 1:
return index%n #for pattern finding counter, flag, n]
elif people[index%n] == 1:
temp_index ... | wittwang98/Random | Josephus Problem.py | Josephus Problem.py | py | 719 | python | en | code | 0 | github-code | 6 |
719390909 | """ mcandecode.py
MCAN Modul
Modul zur Verwaltung, Analyse und Ersstellung
von Maerklin CAN-Bus Meldungen
Author: Rainer Maier-Lohmann
---------------------------------------------------------------------------
"THE BEER-WARE LICENSE" (Revision 42):
<r.m-l@gmx.de> wrote this file. As long ... | rml60/mcan | mcan/mcandecode.py | mcandecode.py | py | 8,968 | python | en | code | 0 | github-code | 6 |
11630342993 | import os
"""
The os functions that we are given are:
os.path.getsize(path)
os.path.isfile(path)
os.listdir(path)
os.path.join(path, filename)
"""
def disk_usage_tail_recursion(path, size_so_far=0):
"""
Tail recursion implementation of the disk usage function.
"""
size_so_far += os.path.getsize(path... | geekgap-io/geekgap_webinars | geekgap_webinars/notebooks/webinar_2/disk_usage_tail_recursion.py | disk_usage_tail_recursion.py | py | 863 | python | en | code | 1 | github-code | 6 |
24252533109 | from phrase import Phrase
import random
class Game:
def __init__(self):
self.missed = 0
self.phrases = self.create_phrases()
self.active_phrase = self.get_random_phrase()
self.guesses = []
def create_phrases(self):
phrases = [Phrase("Most things tha... | Nikolai-O/python-techdegree-project3 | game.py | game.py | py | 2,068 | python | en | code | 0 | github-code | 6 |
16432205393 | # IndicatosStrategy
class IndicatorStrategy(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 1, 1)
self.SetEndDate(2021, 1, 1)
self.SetCash(10000)
self.spy = self.AddEquity("SPY", Resolution.Daily).Symbol
self.sma = CustomSimpleMovingAverage("CustomSMA", 30)
... | sotoblanco/QuantConnectTrading | IndicatosStrategy.py | IndicatosStrategy.py | py | 2,046 | python | en | code | 0 | github-code | 6 |
75241220986 | """
Author: Tyler Wagner
Date Created: 7-21-23
Edited By: Tyler Van Pelt
Edited On: 7-28-23
"""
import tkinter as tk
def draw_decision_tree(canvas, node, x, y, depth=0):
if node is None:
return
# Draw the current node
if node.attribute is not None and node.threshold is not None:
node_siz... | Tyler-Wagner/Programming-Assignment-2 | GUI.py | GUI.py | py | 2,389 | python | en | code | 0 | github-code | 6 |
6446901297 | from telemetry.page import page as page_module
from telemetry import story
class StartedPage(page_module.Page):
def __init__(self, url, startup_url, page_set):
super(StartedPage, self).__init__(
url=url, page_set=page_set, startup_url=startup_url)
self.archive_data_file = 'data/startup_pages.json'
... | danrwhitcomb/Monarch | tools/perf/page_sets/startup_pages.py | startup_pages.py | py | 1,298 | python | en | code | 5 | github-code | 6 |
25687467876 | import torch
import torch.nn as nn
import torch.nn.functional as F
class BasicBlock(nn.Module):
def __init__(self, in_channel, out_channel, stride=1):
super(BasicBlock, self).__init__()
self.conv1 = nn.Conv2d(in_channel, out_channel, kernel_size=3, stride=stride, padding=1, bias=False)
sel... | p3i0t/task2 | models.py | models.py | py | 3,506 | python | en | code | 0 | github-code | 6 |
7170796324 | # Answer to Apple and Orange
# https://www.hackerrank.com/challenges/apple-and-orange/problem
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the countApplesAndOranges function below.
def countApplesAndOranges(s, t, a, b, apples, oranges):
apple, orange = 0, 0
for i in ran... | CompetitiveCode/hackerrank-python | Practice/Algorithms/Implementation/Apple and Orange.py | Apple and Orange.py | py | 993 | python | en | code | 1 | github-code | 6 |
32197951073 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
driver=webdriver.Chrome(executable_path='./driver/chromedriver')
driver.get('https://web.whatsapp.com/')
input("please scan qr code and press any key to continue:")
RM=driver.find_element_by_css_selector('span[title... | AbhayPal005/Whatsaap-Automation-Using-Selenium | chrome_driver_windows.py | chrome_driver_windows.py | py | 575 | python | en | code | 0 | github-code | 6 |
70064084669 | from django.conf.urls import url
from tests import views, exceptions
urlpatterns = [
url(r'^snippets/$', views.SnippetList.as_view(), name='snippet-list'),
url(r'^snippets2/$', views.SnippetList.as_view(), name='snippet2-list'),
url(r'^snippet/(?P<pk>\d+)/$', views.SnippetDetail.as_view(),
name='s... | FutureMind/drf-friendly-errors | tests/urls.py | urls.py | py | 673 | python | en | code | 129 | github-code | 6 |
26693503665 | import pytorch_lightning as pl
import pandas as pd
import torch
from torch import nn
from torch.utils.data import DataLoader
from sklearn.metrics import cohen_kappa_score
from transformers import AutoTokenizer, RobertaForSequenceClassification
from torch.utils.data import Dataset
from pytorch_lightning.loggers impo... | maltefranke/solubility_prediction | models/ChemBERTa/chemberta10M.py | chemberta10M.py | py | 8,935 | python | en | code | 1 | github-code | 6 |
46046555266 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.test import TestCase
from django.template import Template, Context
from django.utils.html import mark_safe
from hooks.templatehook import hook
from hooks.templatetags.hooks_tags import template_hook_collect
from . import utils_hooks
class ... | nitely/django-hooks | hooks/tests/tests_templatetags.py | tests_templatetags.py | py | 3,337 | python | en | code | 16 | github-code | 6 |
9002769780 |
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 26 10:21:15 2019
This is the modl with Keras framework
@author: ago
"""
from __future__ import print_function
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from scipy import stats
from IPython.display ... | Dirbas/PMU_classifier | Keras_PMU.py | Keras_PMU.py | py | 5,451 | python | en | code | 2 | github-code | 6 |
12814349068 | import itertools
import matplotlib.pyplot as plt
import numpy as np
def get_mtot(event_jets):
all_px = sum([j.px ** 2 for j in event_jets])
all_py = sum([j.py ** 2 for j in event_jets])
all_pz = sum([j.pz ** 2 for j in event_jets])
all_e = sum([j.e for j in event_jets])
if all_e ** 2 - all_px - a... | rotemov/ML4Jets-HUJI | jupyter_methods.py | jupyter_methods.py | py | 3,097 | python | en | code | 1 | github-code | 6 |
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