seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
15815820289 | from odoo import fields, models, api
class AccountReconciliation(models.AbstractModel):
_inherit = 'account.reconciliation.widget'
@api.model
def _process_move_lines(self, move_line_ids, new_mv_line_dicts):
""" Create new move lines from new_mv_line_dicts (if not empty) then call reconcile_partia... | telenocodoo/indeal-sa | tn_hr_payslip/models/account_recocnile.py | account_recocnile.py | py | 1,889 | python | en | code | 0 | github-code | 1 |
21430393588 | import os, queue
def compute_score(line):
score = 0
for bracket in line:
score = score * 5 + scores[bracket]
return score
opposing_brackets = {"(": ")", "[": "]", "{": "}", "<": ">"}
scores = {")": 1, "]": 2, "}": 3, ">": 4}
with open(os.path.join(os.path.dirname(__file__), "input.txt"), 'r') a... | borisbarath/advent-of-code-21 | 10/brackets.py | brackets.py | py | 1,237 | python | en | code | 0 | github-code | 1 |
7696267710 | import requests as requests
from API.base_api import BaseApi
class WeWork(BaseApi):
corpid = "wwf55a566b6d1c6bd3"
contact_secret = "lsgkRCZorU9MLTU7h-f7s0NsC_AJYoc9z7jWzwW2JlQ"
token = dict()
token_url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
@classmethod
def get_token(cls, secret=co... | shadingyu96/apiautotest | API/wework.py | wework.py | py | 724 | python | en | code | 0 | github-code | 1 |
13352323669 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import logging
import numpy as np
import os
import uuid
from pycocotools.cocoeval import COCOeval
from pycocotools import mask as COCOmask
from core.config ... | Min-Sheng/CA_FSIS_Cell | lib/datasets/fis_cell_evaluator.py | fis_cell_evaluator.py | py | 23,521 | python | en | code | 0 | github-code | 1 |
43467564915 | from bs4 import BeautifulSoup
import re
import pandas as pd
import time
def getCarInfo(pagina):
doc = BeautifulSoup(pagina, "html.parser")
year_td = doc.find_all(["td"], bgcolor="#ffffff")
for td in year_td:
print(td.get_text())
'''year = year_td.find_next_sibling('td').get_... | Sankhay/Estudos | Python/selenium/getCarInfo.py | getCarInfo.py | py | 23,229 | python | pt | code | 0 | github-code | 1 |
1093280636 | import pandas as pd
import warnings
warnings.filterwarnings('ignore')
## import os
## print(os.getcwd())
import tkinter as ttk
app = ttk.Tk()
app.title('Movie Reccomendor System')
app.geometry("800x700")
#Reading the Data Files
cols = ['user_id', 'movie_id', 'rating', 'ts']
df = pd.read_csv('u.data', sep = '\t', name... | dhupianishant/JECRC_MachineLearning | movielens recc/movie_recc_gui.py | movie_recc_gui.py | py | 2,236 | python | en | code | 3 | github-code | 1 |
7535284663 | import json
from database import get_cart_by_id, set_cart_to_user
import logging
log = logging.getLogger(__name__)
class Cart:
def __init__(self, chat_id):
self.chat_id = chat_id
self.items = self.get_items_by_id()
def add_item(self, item):
item = list(item)
item_id = str(ite... | 1mpossible-code/avarice | classes/cart.py | cart.py | py | 1,256 | python | en | code | 23 | github-code | 1 |
25888659781 | import datetime
from typing import Any, Optional, Union
from django.db import models
dt_format = "%Y-%m-%d %H:%M:%S.%f"
class TimestampField(models.CharField):
def __init__(self, *args: Optional[Any], **kwargs: Optional[Any]):
kwargs['max_length'] = 50
super(TimestampField, self).__init__(*args,... | ruler501/multipoll | multipoll/models/fields/timestamp.py | timestamp.py | py | 1,802 | python | en | code | 0 | github-code | 1 |
71874354595 | # -*- coding: utf-8 -*-
"""
@author: Stefan Mejlgaard
"""
import itertools
import math
def num_digits(number: int) -> int:
"""Return the number of digits in `number`"""
return int(math.log10(number) + 1)
def find_digits(positions: list[int]) -> list[int]:
positions_iter = iter(positions)
position =... | connesy/ProjectEuler | python/problem040/problem040.py | problem040.py | py | 960 | python | en | code | 0 | github-code | 1 |
31475727911 | from bs4 import BeautifulSoup
import lxml
import requests
res = requests.get("https://web.archive.org/web/20200518073855/https://www.empireonline.com/movies/features/best-movies-2/")
res.raise_for_status()
soup = BeautifulSoup(res.text, "lxml")
titles = soup.select(selector="h3[class='title']")
titles_text = ""
for... | csukel/100_days_of_code | Day45/top-100-movies/main.py | main.py | py | 489 | python | en | code | 0 | github-code | 1 |
11177776005 | import os
from selenium import webdriver
import random
import time
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.common.act... | dr11m/steamSkins | ScriptsForDiffPlatforms/steamMakeOrders.py | steamMakeOrders.py | py | 30,363 | python | en | code | 2 | github-code | 1 |
20175691500 | # try:
# a = int(input("请输入一个被除数："))
# b = int(input("请输入一个除数："))
# print(a / b)
# except ZeroDivisionError:
# print("除数不能为0！他妈的错了")
# except ValueError:
# print("需要输入数值型整数")
# except:
# print("这是一个异常！")
# else:
# print("执行完毕")
# finally:
# print("无论是否发生异常，都会有此提示")
# x=10
# if x>5:
# ... | zhoukunxiaozhi/Python_TestProject | test_file3.py | test_file3.py | py | 618 | python | en | code | 0 | github-code | 1 |
71096893793 | from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (ButtonsTemplate, PostbackAction, TemplateSendMessage)
import shutil
import testcount
line_bot_api = LineBotApi('g40p1VQDlWGVMHyMd7pL2kZXGj/Qxx0g35zTCf7+NhIN/cUm/... | AliesFY/LALALA | pythonfile/recipi.py | recipi.py | py | 5,306 | python | en | code | 0 | github-code | 1 |
13760565958 | # nombres de variables
nombre = "Max"
food_today = "Tacos"
favorite_videogame = "Resident Evil 2 Remake"
# nombres de constantes
PESO_DLRS = 20.00
PI = 3.1416
SECONDS_PER_HOUR = 3600
# Diferencia entre variables con el mismo nombre pero variando algún caracter
Nombre = "otro nombre"
print(nombre) # "Max"
print(Nombr... | MaxCazares/Bootcamp-Python | section-2-variables-const/2-names-variables-constants.py | 2-names-variables-constants.py | py | 621 | python | es | code | 0 | github-code | 1 |
27818070176 | import time
import struct
import pickle
import random
import socket
import builtins
from copy import deepcopy
from threading import Thread, Lock
import queue
from utils import NoSocketCreated, ConnectionNotEstablished, HandshakeFailure, CONNECTION_STATES, MESSAGE_TYPES
class Packet:
def __init__(self, message_ty... | karthikrangasai/MONKE-Protocol | monke/monke.py | monke.py | py | 11,197 | python | en | code | 0 | github-code | 1 |
31779738261 | #remainder for your need
# imports
from turtle import title
from win10toast import ToastNotifier #win10toast module
import time # for timer
toaster = ToastNotifier()
title = input("\nTitle of Remainder: ")
msg = input("Message: ")
minutes = float(input("How Many Minutes: "))
seconds = minutes * 15
print("\nRemaind... | raviteja9010/-Set-Remainder | remainder.py | remainder.py | py | 480 | python | en | code | 0 | github-code | 1 |
74319923552 | # Witness my jank!
import awakened as aw;
import delve_Class as dc;
import skill as sk;
import item as eq;
import accolade as ac;
# Example usage
t = aw.Awakened(name='Teston Lautts',attributes = [10, 10, 200, 70, 10, 10, 10, 10], level = 25, character_class = dc.shieldwielding_defender)
t.add_experience(2000) # Set ... | TheOneJohiah/DelveManager | testing.py | testing.py | py | 1,372 | python | en | code | 0 | github-code | 1 |
43647649737 |
def find_min_index(array):
min_val = array[0]
index = 0
for i in range(len(array)):
if min_val > array[i]:
index = i
min_val = array[i]
else:
pass
return index
def find_max_index(array):
max_val = array[0]
index = 0
for i in range(len(arr... | aratijadhav/Python | min_max_sum.py | min_max_sum.py | py | 1,136 | python | en | code | 0 | github-code | 1 |
25393046114 | def gcd(a, b) -> int:
if b == 0:
return a
remain = a % b
return gcd(b, remain)
a, b = map(lambda x: int(x), input().split(" "))
res = gcd(a, b)
print(res)
| XaviPeiro/algorithms_toolbox_coursera | tasks/generic_algorithms/gcd.py | gcd.py | py | 178 | python | en | code | 0 | github-code | 1 |
23152647258 | import json
import random
from typing import Optional
import discord
from discord import app_commands
from discord.ui import Button, View
from pydantic import ValidationError
from client import TextToImageClient
from enums import ErrorMessage, ErrorTitle, ModelEnum, ResponseStatusEnum, SchedulerType, WarningMessages
... | ainize-team/TTI-Bot | src/bot.py | bot.py | py | 22,255 | python | en | code | 3 | github-code | 1 |
29281970870 | from collections import defaultdict
import csv
import gzip
import itertools
from pathlib import Path
import tqdm
from repodb.common import logger
from repodb.classes.nodes.disorder import Disorder
from repodb.classes.nodes.gene import Gene
from repodb.classes.edges.gene_associated_with_disorder import (
GeneAssoc... | repotrial/nedrex | nedrex/parsers/disgenet.py | disgenet.py | py | 2,920 | python | en | code | 0 | github-code | 1 |
26975726274 | #!/usr/bin/python3
import sys
import argparse
import hmac
import http
import urllib
from urllib import parse
from http import client as httpclient
parser = argparse.ArgumentParser()
parser.add_argument('url')
parser.add_argument('secret')
args = parser.parse_args()
payload = sys.stdin.read().encode()
secret = args.s... | lexbailey/isabelle-theory-build-github-action | signed_post.py | signed_post.py | py | 1,035 | python | en | code | 0 | github-code | 1 |
37462061907 | import copy
import re
import time
"""
Usage:
token_array = Prism.parse(code, lang_key, return_all, assign_mode)
Return:
A token list, like
[
{
'type': 'assign-left',
# order number of the tokens
'no': 2,
# the start position in the c... | linb/prism-python | PrismParser/Prism.py | Prism.py | py | 19,231 | python | en | code | 0 | github-code | 1 |
40133928515 | #1. 주어진 리스트를 통해 뒤 숫자가 나올 수 있는지 확인(A,B or 숫자)
#2. 숫자가 나올 수 있는 리스트라면 a,b 구하기
#3. (앞 수 * a + b)=뒷 수 => nlist[1]=nlist[0]*a+b
import sys
n=int(sys.stdin.readline())
nlist=list(map(int,sys.stdin.readline().split()))
if n==1: #1개면 뒤에 숫자 예측 불가 -> 무조건 A
print('A')
elif n==2:
if nlist[0]==nlist[1]:
print(nl... | Woojung0618/Goldrush_Algorithm_Study | 브루트포스/IQ TEST/sunhee.py | sunhee.py | py | 1,306 | python | ko | code | 0 | github-code | 1 |
71131672033 | import sys
def dynamicProgramming():
maxNum = 0
dp = [[0] * m for _ in range(n)] # dp[i][j]는 i, j까지 이동했을 때 얻을 수 있는 가장 많은 금광값
dp[0][0] = array[0][0]
dp[1][0] = array[1][0]
dp[2][0] = array[2][0]
for i in range(1, m): # 첫번째 열부터 비교
for j in range(n): # 첫번째 행부터 비교
if j == 0:... | cookie-god/algorithm | dongbin/dynamic-programming/examination/1.py | 1.py | py | 1,493 | python | ko | code | 0 | github-code | 1 |
23531939947 | """
+===============================+
╦ ╦ ╔═╗ ╔╗╔ ╔═╗ ╔═╗ ╔╦╗
╠═╣ ║ ║ ║║║ ║╣ ╚═╗ ║
╩ ╩ ╚═╝ ╝╚╝ ╚═╝ ╚═╝ ╩
MARKET - PEGGED - ASSETS
+===============================+
called by pricefeed_final.py to upload data matrix for HONEST MPA's to jsonbin.io
if you run this script solo it will create a... | litepresence/Honest-MPA-Price-Feeds | honest/jsonbin.py | jsonbin.py | py | 2,994 | python | en | code | 8 | github-code | 1 |
3230238257 | import tkinter
def split_by_chapter(book_file):
chapter_split = book_file.split('Chapter ') # Obviously not perfect, but works in many cases
return chapter_split
def write_chapters_to_files(chapter_split):
chap_num = 0
for i in chapter_split:
with open('ch' + str(chap_num) + '.txt', 'w') as... | ChemiKyle/Novel-heatmap | split_book_to_chapters.py | split_book_to_chapters.py | py | 647 | python | en | code | 6 | github-code | 1 |
25015472158 | from typing import Optional, Dict, Any
import pendulum
from geopy.distance import distance as geopy_distance
from src.data_models import Configuration
def add_calculated_fields(*,
current_item: Dict[str, Any],
initial_status,
current_statu... | krezac/tesla-race-analyzer | src/data_processor/calculated_fields_status.py | calculated_fields_status.py | py | 2,822 | python | en | code | 1 | github-code | 1 |
27100580027 | #!/usr/bin/env python3
from sys import argv
def kvadrat(x):
a = float(x)
print(' При стороне квадрата: ', a)
print(' Периметр квадрата: ', 4 * a)
print(' Площадь квадрата: ', round(a * a, 5))
b = a * 2**(1/2)
print(' Диагональ квадрата: ', round(b, 3))
if len(argv) > 1:
kvadrat(argv[1])
... | dmb0709/testPython | square.py | square.py | py | 474 | python | ru | code | 0 | github-code | 1 |
12984950288 | #!/usr/bin/env python
import logging
from urllib.parse import urljoin
from atomic_utils import (
PYCON_TW_ROOT_URL,
query_text,
parse_out_href_gen,
is_relative_href,
is_visited_or_mark,
)
# https://docs.python.org/3.6/library/logging.html#logrecord-attributes
logging.basicConfig(
format=(
... | moskytw/elegant-concurrency-lab | channel_operators.py | channel_operators.py | py | 2,366 | python | en | code | 43 | github-code | 1 |
17244409261 | import sys
import shapefile
from .utils import Command, FeatureLoader, create_connection, filename_to_table_name
def shp_field_to_sql_type(field):
if field[1] == "L":
return "INTEGER"
if field[1] == "F":
return "FLOAT"
if field[1] == "N":
if field[3] == 0:
return "INT... | chris48s/geometry-to-spatialite | geometry_to_spatialite/shapefile.py | shapefile.py | py | 2,579 | python | en | code | 12 | github-code | 1 |
16874515340 | #!/usr/bin/env python3
import csv
import glob
import warnings
from typing import List, Tuple
from KaSaAn.core import KappaSnapshot
def find_snapshots(directory: str, prefix: str) -> List[str]:
"""Get the file names of snapshots in specified directory that fit the pattern [dir][prefix][number].ka"""
if direct... | yarden/KaSaAn | KaSaAn/functions/prefixed_snapshot_analyzer.py | prefixed_snapshot_analyzer.py | py | 4,996 | python | en | code | null | github-code | 1 |
3031853440 | import matplotlib.pyplot as plt
def plot_indicators_empirical_analysis(all_sorted_intervals):
"""
:param all_sorted_intervals: all created time intervals
"""
spam_x = []
spam_y = []
non_x = []
non_y = []
counter = 0
for interval in all_sorted_intervals:
if ... | SandraSukarieh/SPRAP | SPRAP/plotting_functions.py | plotting_functions.py | py | 700 | python | en | code | 0 | github-code | 1 |
15222580959 | import numpy as np
import pickle
from abc import ABC
from keras.layers import Input, Dense, TimeDistributed
from keras.layers import LeakyReLU, Dropout, Bidirectional
from keras.layers import GRU, LSTM
from keras.models import Model
from keras.models import load_model
from modules.constants import Constants
from modu... | chandraseta/paparazzi-id | modules/summarizer/models.py | models.py | py | 8,605 | python | en | code | 2 | github-code | 1 |
15128086812 | DIRECTIONS = [(0, 1), (1, 0), (0, -1), (-1, 0)]
def exist(board, word):
ROWS, COLS = len(board), len(board[0])
visited = [[False for _ in range(COLS)] for _ in range(ROWS)]
def dfs(row, col, searchIdx):
if searchIdx == len(word):
return True
if not 0 <= row < ROWS or not... | mmichalak-swe/Algo_Expert_Python | LeetCode/Word_Search/attempt_1.py | attempt_1.py | py | 887 | python | en | code | 3 | github-code | 1 |
4825182294 | import requests
from flask import Flask, render_template
from bs4 import BeautifulSoup
file = "kari-sakib-lab-report.txt"
url = "https://climate.nasa.gov/effects/"
def convert_tag_to_str_list(lst):
new_lst = []
for i in lst:
new_lst.append(str(i))
return new_lst
def scraper(url):
r = requests... | karisakib/flask_project | app.py | app.py | py | 1,194 | python | en | code | 0 | github-code | 1 |
43361748288 | #coding:utf-8
from __future__ import print_function
import os
import sys
# sys.path.append('../')
import time
import cv2
# import rospy
import math
import pickle
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.animation as animation
import matplotlib.image as m... | mkwork22/CarlaDataPreprocessor | output_sim_images.py | output_sim_images.py | py | 15,170 | python | en | code | 0 | github-code | 1 |
71076018915 | # # Create an app that supports multiple Shopping Lists.
# # Each SHopping list will contain multiple items.
# create_list = []
# import sys
# from create_list import create_list
# from add_item import add_item
shopping_lists = {
"Kroger": ["egg", "milk", "bread", "juice"],
"Walmart": ["lightbu... | justinjtx/python101 | Grocery_app.hw.py/grocery_app.py | grocery_app.py | py | 1,928 | python | en | code | 0 | github-code | 1 |
29001113439 | import sys, pygame, random
class enemy(pygame.sprite.Sprite):
def __init__(self, posX, posY):
super().__init__()
randomEntity = []
randomEntity = [pygame.image.load("../assets/spaceinvader1.png").convert_alpha(), pygame.image.load("../assets/spaceinvader2.png").convert_alpha(), pygame.ima... | wiltley/SpaceInvadersPyGame | scripts/enemy.py | enemy.py | py | 1,874 | python | en | code | 0 | github-code | 1 |
36755304755 | RES = WIDTH, HEIGHT = 1600, 900
FPS = 60
SCROLL_SPEED = 8
# bird
BIRD_POS = WIDTH // 4, HEIGHT // 4
BIRD_SCALE = 1.5
BIRD_AN = 150
GRAVITY = 1
JUMP = -16
BIRD_ANGLE = 25
# ground
GROUND_HEIGHT = HEIGHT // 12
GROUND_Y = HEIGHT - GROUND_HEIGHT
# pipes
PIPES_WIDTH = 150
PIPES_HEIGHT = HEIGHT
DIST_BETWEEN_PIPES = 650
GA... | KrystofKr/Project_no.5 | settings.py | settings.py | py | 376 | python | en | code | 0 | github-code | 1 |
74448616352 | # Создайте 2 экземпляра данного класса. У каждого
# экземпляра вызовите оба параметра описанные в этом классе.
# Для обоих экземпляров вызовите метод **climb**
class Monkey:
max_age = 12
loves_bananas = True
def climb(self):
print('I am climbing the tree')
c = Monkey()
p = Monkey()
c.climb()
prin... | Zhamshid2121/2.7 | hw2.py | hw2.py | py | 526 | python | ru | code | 0 | github-code | 1 |
34266333830 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import time
def timeit(x, func, iter=10):
torch.cuda.synchronize()
start = time.time()
for _ in range(iter):
y = func(x)
torch.cuda.synchronize()
runtime = (time.time()-start)/iter
return runtime
class HOG... | YutingXiao/Amodal-Segmentation-Based-on-Visible-Region-Segmentation-and-Shape-Prior | hoglayer.py | hoglayer.py | py | 5,424 | python | en | code | 40 | github-code | 1 |
42744794274 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import tensorflow as tf
from tensorflow.keras.datasets import imdb
(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)
# In[27]:
class myCallback(tf.keras.callbacks.Callback):
def on_epoch_end(self, epoch, logs={}):
if(... | shahmeerrajput/WorkOnTensorflowNmpyPandas | IMDB DATASET.py | IMDB DATASET.py | py | 2,624 | python | en | code | 0 | github-code | 1 |
16567540614 | #coding:utf8
from flask import Flask,make_response,request
app = Flask(__name__)
@app.route('/cookie')
def set_cookie():
response = make_response('cookie设置成功')
response.set_cookie("name", 'zhang')
return response
if __name__ == '__main__':
app.run(debug=True) | 1071183139/biji | 2_框架/1_flask框架/1_flask的基本使用/10_设置cookie.py | 10_设置cookie.py | py | 288 | python | en | code | 0 | github-code | 1 |
18941046142 | from django.shortcuts import render
from accounts.models import Team
# Create your views here.
def dashboard(request):
context = { }
return render(request, 'accounts/dashboard.html', context)
def create_team(request):
if request.POST:
name = request.POST['name']
members = request.POST['... | jabguru/interswitch-mind | accounts/views.py | views.py | py | 588 | python | en | code | 0 | github-code | 1 |
71717091875 | import sys
import math
sys.path.insert(0, "../..")
# LEXING
math_reserved = {
'sin': 'SIN',
'cos': 'COS',
'tg': 'TAN',
'ctg': 'COT',
'sqrt': 'SQRT',
'log': 'LOG',
'exp': 'EXP',
'asin': 'ASIN',
'acos': 'ACOS',
'atg': 'ATAN',
'actg': 'ACOT'
}
reserved = {
**math_reserv... | slawomirgicala/compilers_project | ex2/calc.py | calc.py | py | 11,416 | python | en | code | 0 | github-code | 1 |
14751220428 | '''
A set of utility methods that are used in different parts of the framework.
'''
import logging
# Set of bots read from a bot tsv file
bots = None
filterBots = False
def setFilterBots(fb,botfile):
global filterBots,bots
if fb:
try:
bots = set(long(bot) for bot in open(botfile,'r')... | declerambaul/WikiPride | src/utils.py | utils.py | py | 6,973 | python | en | code | 9 | github-code | 1 |
3292374645 | import os
import os.path as osp
import argparse
import numpy as np
import pandas as pd
from tqdm import tqdm
from sklearn import metrics
import torch
from dataset import create_data_loader, preprocess_df
from model import ClassificationModel
from utils import set_seeds, load_config, str2bool
def inference(model, te... | DeepVisionStudy/dacon_breast_cancer | infer.py | infer.py | py | 5,359 | python | en | code | 0 | github-code | 1 |
14283289627 | import requests
from tests.helpers import NetworkTest
import time
CONTROLLER = '127.0.0.1'
KYTOS_API = 'http://%s:8181/api' % CONTROLLER
class TestE2ESDNTraceInvertedCircuit:
net = None
circuit = None
@staticmethod
def setup_class(cls):
"""run at the beginning for all tests"""
cls.net ... | Alsn2200/tests-kytos- | tests/test_e2e_200_sdntrace.py | test_e2e_200_sdntrace.py | py | 4,307 | python | en | code | 0 | github-code | 1 |
24667117253 | from forta_agent import Finding, FindingType, FindingSeverity, Network
from src.detectors import processContract
import rlp
from datetime import datetime, timedelta
from web3 import Web3
cache = []
def calc_contract_address(address, nonce):
address_bytes = bytes.fromhex(address[2:].lower())
return Web3.toChe... | Sapo-Dorado/FortaKnight | src/agent.py | agent.py | py | 1,747 | python | en | code | 2 | github-code | 1 |
965185620 | import openpyxl
VOLUNTEER_NUMBER = 1
VOLUNTEER_FIRST_NAME= 2
VOLUNTEER_LAST_NAME= 3
VOLUNTEER_EMAIL = 4
VOLUNTEER_HOUR= 5
VOLUNTEER_POSITION = 6
VOLUNTEER_COMMENT = 7
VOLUNTEER_CERT_LOC = 8
class VolunteerExcelFile:
"""
VolunteerExcelFile Class
"""
def __init__(self, filename:... | jasonwei0224/Volunteer_Certificate_Generator | ca/jason/pdfgenerator/VolunteerExcelFile.py | VolunteerExcelFile.py | py | 2,223 | python | en | code | 0 | github-code | 1 |
38924501928 | st=0
board=[]
b = input("").split(",")
Dies = list( map( int, input("").split(",") ) )
for i in b:
c = i.split(":")
a = [int(c[0]) , int(c[1])]
board.append(a)
data = dict(board)
for i in Dies:
die = i
st =st+ die
for i in data:
if(i == st):
st = data.get(i)
... | DeepR19/Snake_Ladder | Snake_ladder/snake and ladder 2.py | snake and ladder 2.py | py | 433 | python | en | code | 0 | github-code | 1 |
5594298933 | t = int(input())
for l in range(t):
n = int(input())
c = 0
temp = n
ds = 0
while temp != 0:
# print(temp, ds)
ds += (temp % 10)
temp = temp//10
# print(ds)
if ds%10==0:
digit = 0
else:
digit = 10 - ds%10
# print(digit)
ans = int(str(n) ... | mayank-kumar-giri/Competitive-Coding | JuneLong19/guddu.py | guddu.py | py | 348 | python | en | code | 0 | github-code | 1 |
35131155384 | '''
The following codes are from https://github.com/d-li14/mobilenetv2.pytorch
'''
import os
import torch
import numpy as np
from torchvision import datasets
from torchvision import transforms
DATA_BACKEND_CHOICES = ['pytorch']
try:
from nvidia.dali.plugin.pytorch import DALIClassificationIterator
from nvidia... | snudm-starlab/FALCON2 | src/imagenetutils/dataloaders.py | dataloaders.py | py | 14,404 | python | en | code | 40 | github-code | 1 |
40930647516 | from django.db import models
######################################################################################################################
class Status(models.Model):
id = models.AutoField(
primary_key=True,
)
title = models.CharField(
verbose_name='Название стадии',
max_... | joinc/SupportCenter | Contract/models.py | models.py | py | 4,741 | python | en | code | 0 | github-code | 1 |
72563162595 | from tensorflow.examples.tutorials.mnist import input_data
mnist=input_data.read_data_sets("MNIST_data/",one_hot=True)
import tensorflow as tf
# implement variables
x= tf.placeholder(tf.float32, [None,784]) #note None allows any length
W= tf.Variable(tf.zeros([784,10]))
b=tf.Variable(tf.zeros([10]))
#implement model
y=... | leobrowning92/tf_edu | mnist_beginner.py | mnist_beginner.py | py | 1,236 | python | en | code | 0 | github-code | 1 |
34470262730 | # 변수 선언 및 입력:
n = int(input())
arr = list(map(int, input().split()))
freq = {}
# 각 수가 몇 번씩 나왔는지 기록합니다.
for elem in arr:
freq[elem] = freq.get(elem, 0) + 1
# 정확히 1번만 나온 수 중
# 등장한 최초 위치를 구해줍니다.
ans = -1
for i in range(n - 1, -1, -1):
# 최초로 나왔다면 답을 갱신합니다.
if freq[arr[i]] == 1:
ans = arr[i]
print(an... | yeafla530/algorithms | 코드트리/모의고사/네카라쿠배2/2_오직한번만주어진수.py | 2_오직한번만주어진수.py | py | 438 | python | ko | code | 0 | github-code | 1 |
36690204065 | # daily challenge mar. 14
# simply path
class Solution(object):
def simplifyPath(self, path):
"""
:type path: str
:rtype: str
"""
stack = []
for portion in path.split("/"):
if portion == "..":
if stack:
stack.pop()
... | lingerxu/leetcode-solutions | simply_path.py | simply_path.py | py | 610 | python | en | code | 0 | github-code | 1 |
41746201635 | height = [4,2,0,3,2,5]
# height = [0,1,0,2,1,0,1,3,2,1,2,1]
all_trapped = 0
for i in range(1,len(height)-1):
trapped = 0
water_level= min(max(height[:i]),max(height[i:]))
if water_level > 0 and trapped >= 0:
trapped = water_level - height[i]
if trapped > 0:
all_trapped+=trapped
prin... | aniketwattamwar/Leetcode | trap_42.py | trap_42.py | py | 336 | python | en | code | 0 | github-code | 1 |
40133379850 | # suggestions.py
# Code to handle submitting and reviewing suggestions.
# Author: wHo#6933
# Plans:
# 1. Submit suggestion command
# 2. List pending suggestions command
# 3. Accept/Decline suggestions command
# Json format:
# {
# "id" (int): {
# "user": userId (int),
# "suggestion": suggestion (str)
# ... | notbowen/CTSSBot | cogs/Suggestions/suggestions.py | suggestions.py | py | 6,644 | python | en | code | 0 | github-code | 1 |
11163242013 |
a=[1, 3, 2, 5, 2, 2, 3, 1, 1, 6]
print(len(a))
result=[]
for i in range(len(a)):
start = i -a[i]
end = i + a[i]
if start < 0 :
start = 0
if end > len(a):
end = len(a)
result.append(sum(a[start:end+1]))
print(result)
| ahrtz/study | 혼자하는거/기초_예제7번.py | 기초_예제7번.py | py | 255 | python | en | code | 0 | github-code | 1 |
18176472651 | import os
import shutil
import pickle
import pandas as pd
from sklearn.cluster import KMeans
#pd.set_option('display.max_colwidth', -1)
DATA_PATH = "../ML_data"
target = os.path.join(DATA_PATH, "target.csv")
fp = os.path.join(DATA_PATH, "fp_folded.csv")
y = pd.read_csv(target, index_col = "index")
y = y.loc[(y[... | paulzierep/NP_epitope_predictor | tool/scripts/helper.py | helper.py | py | 4,423 | python | en | code | 0 | github-code | 1 |
25072147771 | import os
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
class scrapebook():
... | Husseinmdarman/BookContentToYoutubeVideos | secondary.py | secondary.py | py | 1,995 | python | en | code | 0 | github-code | 1 |
34013495264 | '''
Always want to combine the two sticks with the smallest lengths to minimize cost. Can use minHeap to get the two sticks with lowest cost. One we combine sticks. We put back into heap
Time: heapify: O(n) + O(nlog(n))
'''
from heapq import *
class Solution:
def connectSticks(self, sticks: List[int]) -> int:
... | kjingers/Leetcode | Problems/MinimumCostToConnectSticks/MinimumCostToConnectSticks.py | MinimumCostToConnectSticks.py | py | 595 | python | en | code | 0 | github-code | 1 |
2065842249 | """Module for ingesting quotes from PDF files."""
import os
import subprocess
from typing import List
import tempfile
from .IngestorInterface import IngestorInterface
from .QuoteModel import QuoteModel
class PDFIngestor(IngestorInterface):
"""Ingestor for parsing quotes from PDF files.
This c... | NgoDuyVu1993/Advance_Python_Udacity_Ass2 | QuoteEngine/PDFIngestor.py | PDFIngestor.py | py | 1,945 | python | en | code | 0 | github-code | 1 |
20158053259 | import math
from torch.optim.lr_scheduler import _LRScheduler
class CosineAnnealingWarmUpRestarts(_LRScheduler):
r"""Set the learning rate of each parameter group using a cosine annealing
schedule, where :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
is the number of epochs since the last res... | SangHunHan92/2K2K | utils/scheduler.py | scheduler.py | py | 6,051 | python | en | code | 170 | github-code | 1 |
35947567604 | # -*- coding: utf-8 -*-
import os
import csv
import matplotlib.pyplot as plt
"""
This script is for plotting each data (force/RMSE & TC(300K) diff from 112.1)
with classified color by normalized distance
"""
if __name__ == '__main__':
root=os.getcwd()
tdata=["40"]
node=["50","100","200","300","500"]
... | s-okugawa/HDNNP-tools | tools/Lmps-MD/plotRMSETCdata-d20L.py | plotRMSETCdata-d20L.py | py | 2,726 | python | en | code | 0 | github-code | 1 |
34469512220 | n = int(input())
a = [tuple(input().split()) for _ in range(n)]
d = {}
# print(a)
for i in range(n):
command = a[i][0]
k = int(a[i][1])
if command == "add":
d[k] = int(a[i][2])
elif command == "remove":
d.pop(k)
else:
# print(k, d)
if k in d:
print(d[k... | yeafla530/algorithms | 코드트리/IM/중급자료구조/HashMap/hashmap기본.py | hashmap기본.py | py | 364 | python | en | code | 0 | github-code | 1 |
2819034093 | # py -m pip install pygame
# py -m pip install pywin32
import pygame, sys, random
import win32api
import win32con
import win32gui
def hide_console():
window = win32gui.GetForegroundWindow()
win32gui.ShowWindow(window, win32con.SW_HIDE)
if __name__ == "__main__":
hide_console()
pygame.init()
c... | SicerBrito/Scripts | Etica/bb/ssss.py | ssss.py | py | 1,028 | python | es | code | 13 | github-code | 1 |
28480361634 | import math
x, y, w, h = map(int, input().split())
'''
직사각형 (0,0)~(w,h)
한수 (x,y)
안에 위치할 경우 :
점 사방면의 거리를 체크하여 가장 짧은 위치 출력
밖에 위치할 경우 :
case1:
x>w and y<=h
case2:
x<=w and y>h
case3:
x>w and y>h
'''
if x<=w and y<=h:
check = []
check.append(w-x)
check.append(x)
check.append(h-y... | sujeengim/problem-solving | baekjoon/class2/1085.py | 1085.py | py | 579 | python | ko | code | 0 | github-code | 1 |
38256631414 | import cv2
import face_recognition
from django.conf import settings
from .faceRecognition import findEncodings
import os, numpy as np
from .attendance import mark_attendance, get_Remarks
from .models import Schedule
import time
class VideoCamera(object):
t = Schedule.objects.get(is_active=True)
def __init__(se... | coder-val/AMSFR | amsfr/employees/camera.py | camera.py | py | 3,616 | python | en | code | 1 | github-code | 1 |
74390609314 | import numpy as np
import torch
from torch import nn
from torch.utils import data
# 生成数据集
def synthetic_data(w, b, num_examples):
"""生成 y = Xw + b + 噪声。"""
X = torch.normal(0, 1, (num_examples, len(w)))
y = torch.matmul(X, w) + b
y += torch.normal(0, 0.01, y.shape)
return X, y.reshape((-1, 1))
i... | hello2mao/Learn-MachineLearning | DeepLearning/DiveIntoDeepLearning/3.LinearNetwork/3.3.LinearRegressionConcise.py | 3.3.LinearRegressionConcise.py | py | 1,623 | python | en | code | 1 | github-code | 1 |
13255316883 | ## program that asks users for sandwich preferences and display total cost
import pyinputplus as pyip
# bread type
bread_type = pyip.inputMenu(
['wheat', 'white', 'sourdough'],
prompt = 'Choose your bread type:\n',
numbered = True)
print(f'You have selected {bread_type}.')
# protein type
protein_type =... | simink/py_automatetheboringstuff | code/sandwichMaker.py | sandwichMaker.py | py | 1,542 | python | en | code | 1 | github-code | 1 |
165943487 | # Read the introduction about garden path sentences and study a few of the examples on Wikipedia.
# Create a new Python file called garden.py.
# Find at least 2 garden path sentences from the web or create them.
# Store the sentences you have identified or created in a list called gardenpathSentences
# Add the followin... | marianklo/natural_language_processing | garden.py | garden.py | py | 2,916 | python | en | code | 0 | github-code | 1 |
10277790770 | import csv_reader
from datetime import datetime, timedelta
import time
class Bus:
def __init__(self, route_id, direction, trip_id):
bus_id = f"bus-{route_id}-{direction}-{trip_id}"
self.bus_id = bus_id
self.route_id = route_id
self.direction = direction
self.trip_id = trip_i... | jovanovicm/genetic-bus-charging-network | Testing/bus_integration_v1.py | bus_integration_v1.py | py | 3,987 | python | en | code | 0 | github-code | 1 |
20996429330 | # Даны две строки. Эти строки отличаются друг от друга только одним символом.
# Т.е. вторая строка получена добавлением случайного символа в случайную
# позицию первой строки. Найти этот символ, вывести его и его индекс в строке.
someString_1 = input()
someString_2 = input()
length = len(someString_1)
cnt = 0
if len(... | astrogurvik/Homework_while | Homework_005_string_two exercises/main.py | main.py | py | 1,859 | python | ru | code | 0 | github-code | 1 |
29389482192 | from flask import Flask
from flask import render_template, request, make_response, redirect, url_for
import requests
import random
import json
app = Flask(__name__)
@app.route("/")
def hello_world():
#retun 'hello' + home
return "<p>Hello, App!</p>"
@app.route('/home', methods=['GET'])
def getTicTacToe():
... | nkitanand/tictactoe_FrontEnd | app.py | app.py | py | 4,499 | python | en | code | 0 | github-code | 1 |
71187679394 | from functools import lru_cache
from typing import List, Dict
import csv
@lru_cache
def read(path: str) -> List[Dict]:
try:
with open(path, encoding="utf-8") as file:
fields, *jobs = csv.reader(file, delimiter=",", quotechar='"')
list_jobs = [dict(zip(fields, job)) for job in jobs]... | FP-Coding/project-job-insights | src/insights/jobs.py | jobs.py | py | 749 | python | en | code | 0 | github-code | 1 |
20732284781 | # -*- coding: utf-8 -*-
from odoo import fields, models, api, _
from odoo.exceptions import UserError
class PalletLoading(models.TransientModel):
_name = 'pallet.loading'
_description = 'Pallet Loading'
@api.model
def default_get(self, fields):
res = super(PalletLoading, self).default_get(fi... | ezt-togawa/rtw-custom | stock_move_pallet/wizard/stock_move_pallet_wizard.py | stock_move_pallet_wizard.py | py | 2,118 | python | en | code | 0 | github-code | 1 |
21382837069 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Created on: 2021/06/28 17:51
@Author: Merc2
'''
import numpy as np
from pathlib import Path
import openml
import torch
from torch.utils.data import Dataset
class OPML(Dataset):
def __init__(self, task=None, cv=0, train=True):# volkert
# _, self.CV_NUM, _ ... | mhh0318/KDRVFL | data/opml.py | opml.py | py | 1,110 | python | en | code | 0 | github-code | 1 |
16385188379 | from flask import jsonify
from . import app
from .models import DBManager
############## VISTAS API
@app.route("/api/v1/movimientos")
def listar_movimientos():
try:
# db = DBManager(app.config.get("RUTA"))
"""
Hace excepcion para la configuracion tomar el dato en vez de con GET,
s... | RamiroCovian/flask-api | balance/api.py | api.py | py | 2,516 | python | es | code | 0 | github-code | 1 |
27821992297 | import pytest
from xapres import load
import numpy
# Test the loading of a single dat file from the google bucket
def test_dat_file_loading():
directory='gs://ldeo-glaciology/GL_apres_2022/A101'
fs = load.from_dats(max_range=1400)
fs.load_all(directory,
remote_load = True,
... | ldeo-glaciology/xapres_package | tests/test_dat_file_loading.py | test_dat_file_loading.py | py | 456 | python | en | code | 3 | github-code | 1 |
12782326030 | def combination_sum(candidates, target):
result = []
def backtrack(index, stack, current_sum=0):
# if current sum equals to the target, add the current combination to the result
if current_sum == target:
result.append(list(stack))
return
# if current sum exceeds... | tranphibaochau/LeetCodeProgramming | Medium/combination_sum.py | combination_sum.py | py | 805 | python | en | code | 0 | github-code | 1 |
71519254113 | # Задача-1: У вас есть массив целых чисел, в котором каждое число, кроме одного, повторяется дважды.
# Вам нужно найти это одиночное число.
# __
# Пример:
# Входной массив: [4, 3, 2, 4, 1, 3, 2]
# Результат: 1
# В данной задаче вы должны найти способ найти одиночное число с использованием массивов и алгоритмов.
def fi... | Pl0tter/paradigm | Seminar 01/HW02.py | HW02.py | py | 1,136 | python | ru | code | 0 | github-code | 1 |
30092387341 |
import re
## finitesum simplify() and derive() and derived() are ready for testing.
## use: exp=finitesum('2x^3+4y^7+5x^3'), exp.derive('y') derives wrt y
## use: '' '' exp.derived('y') changes value of exp to exp.derive('y')
## goal here is Laurent polynomials
class finitesum:
__string=None
def __init__(self,... | georgercarder/calculus | calculus/polynomial_1.py | polynomial_1.py | py | 3,713 | python | en | code | 0 | github-code | 1 |
21657652759 | def extract_from_zero_width(zero_width_text):
extracted_text = ""
binary_char = ""
for char in zero_width_text:
if char == "\u200C" or char == "\u200B":
binary_char += "1" if char == "\u200C" else "0"
if len(binary_char) == 16:
extracted_text += chr(int... | RadhitAsmara/Text_Steganography | extract.py | extract.py | py | 599 | python | en | code | 1 | github-code | 1 |
37699492063 | from driver import Driver
from packet import Packet
from packet.types import RGB
from zone import Fan
from debug import validate_tuple
from effects import Effect
def toHex(value): return "".join("0x{:02X} ".format(c) for c in value)
VENDOR_ID = 0x2516
PRODUCT_ID = 0x0051
usb = Driver(VENDOR_ID, PRODUCT_ID)
# To ... | twifty/plasma | main.py | main.py | py | 1,109 | python | en | code | 0 | github-code | 1 |
27394954701 | # Create your views here.
from django.contrib import messages
from django.contrib.auth import authenticate
from django.contrib.auth.decorators import login_required, permission_required
from django.contrib.auth import login as auth_login
from django.http import HttpResponseRedirect, HttpResponseForbidden
from django.sh... | AliVillegas/Wisapp | Wisapp/app/views.py | views.py | py | 23,656 | python | en | code | 0 | github-code | 1 |
34372206850 | #!/usr/bin/python
# coding:utf-8
import sys
from futu import *
quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) # 创建行情对象
# 获取港股 HK.00700 的快照数据
code_list = ['HK.00700']
# 上证指数[000001]沪深实时行情 - 东方财富
code_list = ['SZ.399959']
ret, data = quote_ctx.get_market_snapshot(code_list)
if ret == RET_OK:
print(data... | shsun/i47 | bak/test1.py | test1.py | py | 889 | python | zh | code | 0 | github-code | 1 |
41921955381 | import math
from World.node import *
import sys
def dir_dist(node1, node2):
"""
Calculates the direct distance bewteen each points
"""
return math.sqrt(math.pow(node1.x - node2.x, 2) +
math.pow(node1.y - node2.y, 2))
def shortest_dist(agent_pos, containers_pos, cont_goals):
"... | BenBausch/Mapf-with-Blocking-Containers | Environment/Algorithms/heuristic.py | heuristic.py | py | 1,338 | python | en | code | 3 | github-code | 1 |
13330534487 | from collections import deque
class Solution:
def minJumps(self, arr: List[int]) -> int:
N = len(arr)
common_vals = defaultdict(list)
for idx, val in enumerate(arr):
common_vals[val].append(idx)
q = deque([N - 1])
min_jumps = {N - 1: 0}
... | edorado93/leetadaykeepsrustaway | January-Challenge-2022/[Day-15] Jump Game IV/bfs_dp_solution.py | bfs_dp_solution.py | py | 1,123 | python | en | code | 1 | github-code | 1 |
15959651810 | from flask_app.config.mysqlconnection import connectToMySQL
from flask_app import app
from flask_app.models.user import User
from flask import flash, session
DB = "coding_dojo_wall"
class Post:
def __init__( self , data ):
self.id = data['id']
self.user_id = data['user_id']
self.content = da... | tndodge/Python | coding_dojo_wall/flask_app/models/post.py | post.py | py | 3,205 | python | en | code | 0 | github-code | 1 |
21646634617 |
import numpy as np
import joblib
from nltk.tokenize import RegexpTokenizer
import tldextract
import pandas as pd
from urllib.parse import urlparse
from typing import *
# predict
def predict(url):
def parse_url(url: str) -> Optional[Dict[str, str]]:
try:
no_scheme = not u... | skiraz/cloud_project | predictor.py | predictor.py | py | 2,848 | python | en | code | 0 | github-code | 1 |
8428176367 | """
This script uses the classes implemented in make_tables.py to create the tables
used in PISAM simulations. The data loaded to make the tables are in the form
of fit parameters or data points for reactions rates and cross sections. The data is
stored in the directory "Collision data for tables". I you add a reaction... | kristofferkvist/PISAM-HESEL | PISAM/make_tables_main.py | make_tables_main.py | py | 7,111 | python | en | code | 0 | github-code | 1 |
74917146594 | __author__ = "Domen Gorjup"
import os
import glob
import cv2
import time
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from tqdm import tqdm, tqdm_notebook
import tools
# IZBIRA SLIK IN NAČINA REKONSTRUKCIJE ###############################################################
p... | domengorjup/pySfM | SfM_test_run.py | SfM_test_run.py | py | 4,597 | python | en | code | 0 | github-code | 1 |
17283492359 | import os.path
import shutil
# path = r"C:\Users\yang\OneDrive - Thuyloi University\Images\apple\test\labels"
def moveFile(currentPath, newPath):
for i in range(622, 1000):
if os.path.isfile(r"currentPath\apple_" + str(i) + ".txt"):
shutil.move(
r"currentPath\apple_" + str(i) ... | ruaruababa/FruitsDetectionYOLOv8 | services/file_services.py | file_services.py | py | 2,022 | python | en | code | 1 | github-code | 1 |
39840653963 | import argparse
import sys
from constants import (
IMPL_DEP_FILE_STR,
OUTPUT_FILE_STR,
)
from parser import Parser
def main():
arg_parser = argparse.ArgumentParser(
description="Control module for tracking implicit dependencies"
)
arg_parser.add_argument(
"-f", "--file", default=IM... | illumos/illumos-gate | usr/src/tools/smatch/src/smatch_scripts/implicit_dependencies/main.py | main.py | py | 1,051 | python | en | code | 1,466 | github-code | 1 |
19546605494 | import json
import requests
from loguru import logger
from wb.services.tools import get_date
class JWTApiClient:
"""Get Marketplace Statistics."""
def __init__(self, new_api_key: str):
self.token = new_api_key
self.base = "https://suppliers-api.wildberries.ru/public/api/"
def build_hea... | prog1ckg/wildberries-rest-api | wb/services/rest_client/jwt_client.py | jwt_client.py | py | 3,451 | python | en | code | null | github-code | 1 |
33854572922 | """
Taken from pyro tutorial
"""
import argparse
from os.path import exists
import numpy as np
import torch
import torch.nn as nn
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine
from pyro.distributions import TransformedDistribution
from pyro.distributions.transforms import affine_autore... | CJHJ/convolutional-neural-markov-model | models/convdmm.py | convdmm.py | py | 25,613 | python | en | code | 1 | github-code | 1 |
10712107494 | import numpy as np
import matplotlib.pyplot as plt
#extract values
Jacobi1_10n,Jacobi2_10n,Jacobi3_10n,analytic1_10n,analytic2_10n,analytic3_10n = np.loadtxt("solution_10n.txt", usecols=(0,1,2,3,4,5), unpack=True)
Jacobi1_100n,Jacobi2_100n,Jacobi3_100n,analytic1_100n,analytic2_100n,analytic3_100n = np.loadtxt("so... | raggsokker/fys3150 | project2/solution.py | solution.py | py | 2,800 | python | en | code | 0 | github-code | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.