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
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74738491234 | """Add multimention table
Revision ID: 003
Revises: 002
Create Date: 2016-04-08 10:53:44.115348
"""
# revision identifiers, used by Alembic.
revision = '003'
down_revision = '002'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated b... | belak/python-seabird | migrations/versions/003_add_multimention_table.py | 003_add_multimention_table.py | py | 859 | python | en | code | 0 | github-code | 1 |
17287527269 | from fleet import Fleet
from grid import Grid
from playerai import PlayerAi
from playerhuman import PlayerHuman
WIDTH = 1024
HEIGHT = 768
TITLE = "Battleships"
# Start of your grid (after labels)
YOUR_GRID_START = (94,180)
# Start of enemy grid
ENEMY_GRID_START = (544,180)
GRID_SIZE = (38,38)
player = "player1setup... | Apress/beginning-game-programming-with-pygame-zero | Chapter 10/battleship2/battleship.py | battleship.py | py | 6,368 | python | en | code | 11 | github-code | 1 |
20800064791 | from selenium import webdriver
from time import sleep
import os
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
import urllib.request
import random
import pandas as pd
browser = webdriver.Chrome(executable_path="./chromedriver.exe")
browser.m... | hongha0111/CS232_LAB1_Crawler_Text | crawl_image.py | crawl_image.py | py | 1,789 | python | en | code | 0 | github-code | 1 |
10579008900 | import logging
import json
from application.service import ClubService
from flask import Blueprint
from flask import request, Response
from application.auth.google_auth import auth_required, get_token_info
log = logging.getLogger('werkzeug')
log.setLevel(logging.ERROR)
# Variable declaration
application_json = "appl... | SoamyaAgrawal17/SAVS | application/controller/ClubsController.py | ClubsController.py | py | 3,734 | python | en | code | 0 | github-code | 1 |
19104388153 | import unittest
class TestDotfile(unittest.TestCase):
def setUp(self):
self.maxDiff = None
def test_dotfile_consistency(self):
# Drake's bindings/pydrake/.clang-format file should be a prologue atop
# the root .clang-format file.
with open(".clang-format") as f:
ro... | GTLIDAR/safe-nav-locomotion | motion_planner/drake/bindings/pydrake/test/dot_clang_format_test.py | dot_clang_format_test.py | py | 834 | python | en | code | 21 | github-code | 1 |
35596840111 | # !/usr/bin/env python
# coding=utf-8
"""
author: yonas
"""
import argparse
import torch
import numpy as np
from pathlib import Path
from transformers import BertTokenizer, AutoTokenizer, RobertaTokenizer
from datautils import NerExample, Any2Id, file2list
import time, copy, os
# import ipdb
try:
from prefetch_g... | Qznan/QizNER | data_reader.py | data_reader.py | py | 22,118 | python | en | code | 2 | github-code | 1 |
27867302737 | """Prepare entry and gone transactions from comparing local hierarchy with proxy data."""
import datetime as dti
import pathlib
import random
from typing import Union
from kiertotie import (
BASE_URL,
DASH,
EASING,
ENCODING,
ESP,
HTTP_404_BYTES_TOKEN,
HTTP_404_BYTES_TOKEN_LENGTH,
HTTP_4... | sthagen/kiertotie | kiertotie/update.py | update.py | py | 10,067 | python | en | code | 3 | github-code | 1 |
18836706246 | from django.shortcuts import render, redirect
from .forms import CreateUserForm
from .forms import ProduitForm
from .forms import *
from .models import *
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth import authenticate , login, logout
from django.contrib import messages
from django.... | KOFFIHO/Ampoule-Rouge | blog/views.py | views.py | py | 10,339 | python | fr | code | 0 | github-code | 1 |
39212060141 | #import tensorflow as tf
#import numpy as np
#import pandas as pd
#import networkx as nx
#import matplotlib.pyplot as plt
#from mpl_toolkits.mplot3d import Axes3D
#from pathlib import Path
#import random,math,sympy
#import re,request
#from turtle import *
#import time,datetime
#import argparse
#F2:tree F3:tagbar F4:添加... | 774799513/learngit | class/t_class.py | t_class.py | py | 575 | python | en | code | 0 | github-code | 1 |
191426034 | import numpy
from chainer import cuda
from chainer import function
from chainer.utils import type_check
class Accuracy(function.Function):
def check_type_forward(self, in_types):
type_check.expect(in_types.size() == 2)
x_type, t_type = in_types
type_check.expect(
x_type.dtyp... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITLAB_REPOS/jamieoglindsey0@chainer/chainer/functions/accuracy.py | accuracy.py | py | 1,320 | python | en | code | 2 | github-code | 1 |
71377801634 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Extended minimal pygimli example to simulate Darcy velocity,
mass transport and time-lapse ERT measurements
"""
import numpy as np
import pygimli as pg
import pygimli.meshtools as mt
import pygimli.physics.ert as ert
import pygimli.physics.petro as petro
# Cr... | gimli-org/gimli | doc/paper/cg17/example-2_modelling.py | example-2_modelling.py | py | 4,992 | python | en | code | 312 | github-code | 1 |
70270731235 | import unittest
from executor.executor import tree, execute
from executor.memscan import MemScan
from executor.selection import Selection
class TestSelection(unittest.TestCase):
"""
Test the selection plan node, which is effectively a filter operation.
"""
def test_select_various_predicates(self):
... | Bradfield/braddb | tests/unittests/test_selection.py | test_selection.py | py | 887 | python | en | code | 6 | github-code | 1 |
43534691253 | import requests
from bs4 import BeautifulSoup
import sys
import re
import numpy as np
import sys
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
## 找出表特版2017第一篇文的文章列表url (2017/12/31)
def find_first_url(start_date, start_year, url):
'''
input: start_date: 1/01 (str),
... | 30stomercury/ptt_crawler | ptt_crawler.py | ptt_crawler.py | py | 10,538 | python | en | code | 0 | github-code | 1 |
9557658847 | import ssl
import re
import json
import requests
import csv
import urllib3
import argparse
import sys
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
STR_POST_SERVICE_TEMPLATE_OK = '[->] service %s for template %s was created with status code %s'
STR_POST_SERVICE_TEMPLATE_NOK ... | versa-networks/devops | python/VOS Framework/object-create/service-create.py | service-create.py | py | 5,606 | python | en | code | 6 | github-code | 1 |
37402723277 | from warnings import warn
from statsmodels.sandbox.distributions.extras import ACSkewT_gen
from .check_nd_array_for_bad import check_nd_array_for_bad
def fit_skew_t_pdf(
_1d_array,
fit_fixed_location=None,
fit_fixed_scale=None,
fit_initial_location=None,
fit_initial_scale=None,
):
_1d_array... | UCSD-CCAL/ccal | ccal/fit_skew_t_pdf.py | fit_skew_t_pdf.py | py | 1,775 | python | en | code | 0 | github-code | 1 |
28919536409 | import matplotlib.pyplot as plt
f = open("biggest_cities.txt", "r")
plt.plot([int(x.split(",")[3]) for x in f.readlines()][:15])
plt.ylabel("City size")
plt.xlabel("City rank")
plt.show()
f.close()
| nicholasz2510/zipf-from-text | just_list.py | just_list.py | py | 201 | python | en | code | 0 | github-code | 1 |
8604083530 | import math
import numpy as np
import matplotlib
#matplotlib.use('Agg')
import matplotlib.pyplot as plt
from Model import Individual
from Model import FitnessFunction
import time
from Model.PrintModule import PrintModule
import multiprocessing
import pygmo as pg
import itertools
from Model.DisplayHandler import Displ... | jurrutiag/Robotic-Manipulator | Model/GeneticAlgorithm.py | GeneticAlgorithm.py | py | 31,658 | python | en | code | 0 | github-code | 1 |
70137787875 | import asyncio
class CommentExecutor:
def __init__(self):
self.work_queue = asyncio.Queue()
async def add_video(self, new_vids):
for vid in new_vids:
await self.work_queue.put(vid)
async def execute(self, task, num_workers=5):
tasks = [asyncio.create_task(task(sel... | ZutrixPog/youtube-comments-extractor | comments/executor.py | executor.py | py | 402 | python | en | code | 6 | github-code | 1 |
34214467939 | import torch
import torch.nn as nn
import pdb
import logging
class rnn_net(nn.Module):
def __init__(self, dim_embeddings, num_classes, similarity="inner_product", hidden_size=128,
num_layers=1, rnn_dropout=0.2, clf_dropout=0.3, bidirectional=False):
super(rnn_net, self).__init__()
self... | hsinlichu/Customer-Service-Data-Analysis-with-Machine-Learning-Technique | src/modules/net.py | net.py | py | 1,528 | python | en | code | 1 | github-code | 1 |
23551628136 | # General references:
# 0. https://github.com/lttkgp/youtube_title_parse
# 1. https://tinyurl.com/y5pewlw3
# 2. https://developers.google.com/youtube/v3/getting-started
# 3. https://developers.google.com/youtube/v3/quickstart/python
# 4. https://github.com/TheComeUpCode/SpotifyGeneratePlaylist/blob/master/create_playli... | LongPhan1912/Youtube-Playlist-Extractor | main-extractor.py | main-extractor.py | py | 9,415 | python | en | code | 0 | github-code | 1 |
17408789863 | # https://www.codewars.com/kata/525c7c5ab6aecef16e0001a5
def parse_int(input):
single_digit = {'zero': 0, 'one': 1, 'two': 2, 'three': 3, 'four': 4, 'five': 5, 'six': 6, 'seven': 7, 'eight': 8,
'nine': 9}
double_digit = {'ten': 10, 'eleven': 11, 'twelve': 12, 'thirteen': 13, 'fourteen': 14... | JanisGoldmanis/CodeWars | [4kyu] parseInt.py | [4kyu] parseInt.py | py | 1,467 | python | en | code | 0 | github-code | 1 |
15305050980 | # features.py
import glob, os, sys, math, warnings, copy, time, glob, logging
import numpy as np
from scipy.optimize import linear_sum_assignment
from scipy.spatial import distance
import pandas as pd
from scipy.stats import multivariate_normal
from hmmlearn import hmm
logging.basicConfig(format='%(asctime)s | %(level... | samshipengs/Coordinated-Multi-Agent-Imitation-Learning | code/hidden_role_learning.py | hidden_role_learning.py | py | 7,125 | python | en | code | 37 | github-code | 1 |
86663640809 | from django.urls import path,include,re_path
from django.conf.urls import url
from . views import *
from . import views
app_name="home"
urlpatterns = [
path("", views.home, name="home"),
path("projectadd", views.addproject, name="addproject"),
path("projectadded", views.projectadded, name="projectadded")... | sourabh-art/ufaber | projects/urls.py | urls.py | py | 901 | python | en | code | 1 | github-code | 1 |
12664985547 | # given two strings str1 and str2, write a function that prints all interleavings
# of the given two strings.
# we may assume that all characters in both strings are different.
# Example: Input :str1 = "AB", str2 = "C2" and output : ABCD ACBD CABD CADB CDAB.
# An intterleaved string of given two
# strings preserves the... | khanarslaan7861/private | Python/Infytq/interleaved.py | interleaved.py | py | 861 | python | en | code | 1 | github-code | 1 |
33092721708 | import solution
class Solution(solution.Solution):
def solve(self, test_input=None):
source, target, allowedSwaps = test_input
return self.minimumHammingDistance(list(source), list(target), [x[:] for x in allowedSwaps])
def minimumHammingDistance(self, source, target, allowedSwaps):
"... | QuBenhao/LeetCode | problems/1722/solution.py | solution.py | py | 2,350 | python | en | code | 8 | github-code | 1 |
73501756834 | """
Author: Brian Mascitello
Date: 12/15/2017
Websites: http://adventofcode.com/2017/day/14
Info: --- Day 14: Disk Defragmentation ---
"""
import copy
from functools import reduce
def construct_dense_hash(sparse_hash):
constructed_hash = list()
groups_of_sixteen = [sparse_hash[index:index +... | Brian-Mascitello/Advent-of-Code | Advent of Code 2017/Day 14 2017/Day14Q1 2017.py | Day14Q1 2017.py | py | 3,327 | python | en | code | 0 | github-code | 1 |
16557291805 | # https://www.acmicpc.net/problem/2529
# Solved Date: 20.05.02.
import sys
import itertools
read = sys.stdin.readline
def check_inequality(sign, ans_num, select_num):
if (sign == '<' and ans_num < select_num) or \
(sign == '>' and ans_num > select_num):
return True
else:
return F... | imn00133/algorithm | BaekJoonOnlineJudge/CodePlus/500BruteForce/PermutationPractice/baekjoon_2529.py | baekjoon_2529.py | py | 2,251 | python | en | code | 0 | github-code | 1 |
24752099819 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.spiders import Spider
from justiaspider.items import JustiaItem
from scrapy import Request
from time import sleep
class ToScrapeSpiderXPath(scrapy.Spider):
name = 'justia'
headers = {
'User-Agent': 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N... | oerdem19/justiaspider | spider/justiaspider/justiaspider/spiders/justia.py | justia.py | py | 3,902 | python | en | code | 0 | github-code | 1 |
20648101318 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# In[3]:
df=pd.read_csv(r"C:\Users\lenovo\Downloads\CarDataSet.csv")
# In[4]:
df
# In[5]:
df=df.drop('New_Price',axis=1)
# In[6]:
df=df.dropna()
# In[7]:
df
# In[8]:
df['Milea... | HardeshPratap/Used-car-sales-analysis | ML Project.py | ML Project.py | py | 4,208 | python | en | code | 0 | github-code | 1 |
28410209117 | from typing import Optional
import unittest
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def isValidBSTHelper(
self, root: Optional[TreeNode], min=float("-inf"), max=float("inf")
) -> ... | teimurjan/leetcode | is-valid-bst.py | is-valid-bst.py | py | 1,783 | python | en | code | 0 | github-code | 1 |
32053631377 | import csv
import json
import sys
import traceback
from bs4 import BeautifulSoup
from time import sleep
import os
from get_restaurants_list import check_element_by_xpath, wait_to_display, load_restaurants, save_restaurants
from utils import VERSION, log, launch_driver, save_file
# 主方法
def get_restaurant_info(r):
... | djangommq/ifood | src_v0/get_restaurants_info.py | get_restaurants_info.py | py | 12,563 | python | en | code | 0 | github-code | 1 |
31050124182 | """rank_text.py
For a given document, process and prepare scoring.
"""
import pandas as pd
import matplotlib.pyplot as plt
import os
import re
from snownlp import SnowNLP
from string import punctuation, whitespace
from os import path
class Snippet:
def __init__(self, text, meta):
# meta includes author, t... | jyesawtellrickson/mandarin | app/snippet.py | snippet.py | py | 5,631 | python | en | code | 2 | github-code | 1 |
29039233511 |
import unittest
import sys, os
testdir = os.path.dirname(__file__)
srcdir = '../yrevocnu'
sys.path.insert(0, os.path.abspath(os.path.join(testdir, srcdir)))
import yrevocnu as yre
class GameTest(unittest.TestCase):
def setUp(self):
self.game = yre.Game()
self.game.load_bounty_metadata(os.path.ab... | yrevocnu/infinite-score | tests/test_yrevocnu.py | test_yrevocnu.py | py | 2,741 | python | en | code | 0 | github-code | 1 |
28545941316 | import pandas as pd
import sys
import os
import shutil
# from threading import Thread
""" Take text file showing damaged files and move them to folders by camera."""
# You can get a list of damaged .jpg files from running badpeggy, selecting
# all, exporting to text file, putting it in folder with images to be clean... | plorch/CameraTrapImagePreprocessPython | CopyDamagedImagesToCameraFolders.py | CopyDamagedImagesToCameraFolders.py | py | 2,506 | python | en | code | 1 | github-code | 1 |
18323419280 | import itertools
def combsum(thelist,serchednum):
res = 0
for n in range(2,len(thelist),1):
for eachcomb in itertools.combinations(thelist,n):
if round(sum(eachcomb),2) == round(serchednum,2):
res = eachcomb
break
#
#
... | costiagur/comsum | combsum.py | combsum.py | py | 429 | python | en | code | 0 | github-code | 1 |
24242037981 | from random import randrange
from sys import argv, exit
def main(size, name):
with open("{}".format(name), 'w') as file:
for _ in range(size):
_to_write = str(randrange(size)) + " "
file.write(_to_write)
print("Done")
if __name__ == "__main__":
if (len(argv) < 3) :
print("Usage: {} ARRAY_SIZE FILE_NAME"... | Araggar/BucketSort-C | random_array.py | random_array.py | py | 362 | python | en | code | 0 | github-code | 1 |
12496357516 | import json
from dataclasses import asdict
from datetime import datetime
from typing import List
from unittest import mock
import hypothesis
import pytest
from hypothesis.strategies import (
dictionaries,
integers,
just,
lists,
sampled_from,
text,
)
from pydantic import ConfigDict
from pydantic... | NHSDigital/nrlf-converter | nrlf_converter/convert_nrl_to_r4/tests/test_nrl_to_r4.py | test_nrl_to_r4.py | py | 7,324 | python | en | code | 0 | github-code | 1 |
70242278435 | from node import Node, NodeContainer
class ParentContainer(NodeContainer):
def _set_content(self, content):
"""Sets content of the container. Note that the new content has to be
a TreeNode.
>>> node1, node2 = TreeNode(), TreeNode()
>>> node2.parent._set_content(node1)
>>>... | bebraw/pynu | pynu/tree.py | tree.py | py | 2,240 | python | en | code | 2 | github-code | 1 |
933911592 | import sys
input = sys.stdin.readline
N = int(input())
dp = [0 for _ in range(N+3)]
arr = [0 for _ in range(N+3)]
for k in range(1,N+1):
arr[k] = int(input())
print(arr)
dp[1] = arr[1]
dp[2] = arr[1] + arr[2]
dp[3] = max(arr[1] + arr[3] ,arr[2] + arr[3])
for i in range(4, N+1):
dp[i] = max(dp[i-3] + arr[i-1]... | jjs0211/problem-solving-with-study | Baekjoon/Class03/2579_계단오르기.py | 2579_계단오르기.py | py | 644 | python | ko | code | 0 | github-code | 1 |
73510344352 | from argparse import ArgumentParser
from Common.HttpFileManager.webApplication import app as application
def parse_args():
parser = ArgumentParser()
parser.add_argument(
"-i", "--hostname", dest="HOSTNAME", default='localhost',
help="ip of server host.")
parser.add_argument(
"-p", "--port", dest="PORT", def... | msm3858/Bottle | Common/HttpFileManager/httpFileManager.py | httpFileManager.py | py | 523 | python | en | code | 0 | github-code | 1 |
8087151518 | import os
from .forms import PostForm, EditProfileAdminForm, CommentForm
from sqlalchemy.exc import IntegrityError
from . import main
from .. import db
from ..models import User, Role, Post, Permission, Comment
from flask import render_template ,redirect, url_for, request, current_app, jsonify, flash, abort, make_respo... | manyrices/look | app/main/views.py | views.py | py | 10,249 | python | en | code | 0 | github-code | 1 |
8595389362 | import re
def check_byr(inputString):
intValue = int(inputString)
return intValue >= 1920 and intValue <=2002
def check_iyr(inputString):
intValue = int(inputString)
return intValue >= 2010 and intValue <=2020
def check_eyr(inputString):
intValue = int(inputString)
return intValue >= 2020 and... | JibblyC/AdventOfCode2020 | AOC_Q4/AOC_Q4_P2_Helper.py | AOC_Q4_P2_Helper.py | py | 2,145 | python | en | code | 0 | github-code | 1 |
32043715950 | #For Google Collab
#try:
# # %tensorflow_version only exists in Colab.
# %tensorflow_version 2.x
#except Exception:
# pass
# Program gave an error trying to load the MNIST data
# This fix was found at: https://github.com/tensorflow/tensorflow/issues/33285
import ssl
try:
_create_unverified_https_context = ssl... | JacobCuke/machine-learning-assignment | Part 1/MNISTStarter.py | MNISTStarter.py | py | 1,640 | python | en | code | 0 | github-code | 1 |
37157061629 | import pygame
import ui
import art
import utilities
class Inventory(object):
def __init__(self):
self.items = {"Weapon": [],
"Armor": [],
"Commodity": [],
"Misc": []}
def add_item(self, item_to_add):
category = item_to_add.item... | z-van-baars/embark | inventory.py | inventory.py | py | 17,855 | python | en | code | 0 | github-code | 1 |
41054476106 | """
Unit tests for config_rules.py.
"""
import boto3
from botocore.exceptions import ClientError
import pytest
from config_rules import ConfigWrapper
@pytest.mark.parametrize("error_code", [None, "TestException"])
def test_put_config_rule(make_stubber, error_code):
config_client = boto3.client("config")
con... | awsdocs/aws-doc-sdk-examples | python/example_code/config/test/test_config_rules.py | test_config_rules.py | py | 2,567 | python | en | code | 8,378 | github-code | 1 |
11616512317 | import numpy as np
import pandas as pd
import math
dataset=pd.read_csv('Dataset1.csv')
row_index=input("please enter the index number you want to choose as test point")
row_index=int(row_index)
target=dataset.loc[row_index][1:6]
def gaussian_kernel(x, x0, c, a=1.0):
x=np.mat(x)
diff = x - x0
dot_product ... | vishwajeetk1160/LocallyWeightedLinearRegression | Locally_weighted_regression.py | Locally_weighted_regression.py | py | 1,752 | python | en | code | 0 | github-code | 1 |
69905459873 | """Support for myUplink sensors."""
from __future__ import annotations
import logging
from homeassistant.components.number import (
NumberEntity,
NumberDeviceClass,
)
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity_platform im... | jaroschek/home-assistant-myuplink | custom_components/myuplink/number.py | number.py | py | 2,209 | python | en | code | 11 | github-code | 1 |
15702759585 | import collections
tasks = collections.OrderedDict()
tasks[8031] = "Backup"
tasks[4027] = "Scan email"
tasks[5733] = "Build system"
tasks[8031] = "Denni zaloha"
print(list(tasks.keys()))
unsorted = dict()
unsorted[8031] = "Backup"
unsorted[4027] = "Scan email"
unsorted[5733] = "Build system"
unsorted[8031] = "Denni za... | zabojnikp/study | Python_Projects/python3_selfstudy/lekce_3/usporadany_slovnik.py | usporadany_slovnik.py | py | 355 | python | en | code | 0 | github-code | 1 |
24061391126 | from openpyxl.worksheet.worksheet import Worksheet
from utilities import format_cell, get_named_value
class Table:
class Item:
pass
def __init__(self, sheet: Worksheet, table_name: str) -> None:
self.sheet = sheet
self.columns, self.items = Table.read_excel_table(self.sheet, table_na... | flolbr/InvoiceGenerator | table.py | table.py | py | 1,662 | python | en | code | 0 | github-code | 1 |
39998651204 | import copy
from links import Links
from distance import distance
from ROOT import TVector3
def merge_clusters(elements, layer):
merged = []
elem_in_layer = []
elem_other = []
for elem in elements:
if elem.layer == layer:
elem_in_layer.append(elem)
else:
elem_ot... | cbernet/heppy | heppy/papas/pfalgo/merger.py | merger.py | py | 828 | python | en | code | 9 | github-code | 1 |
12839162951 | #!/usr/bin/env python
# coding: utf-8
# <a href="https://colab.research.google.com/github/pratikunterwegs/elemove/blob/master/temp_kruger.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
# In[ ]:
import subprocess
try:
import geemap
except Im... | pratikunterwegs/elemove | python/02_get_landsat_data.py | 02_get_landsat_data.py | py | 2,842 | python | en | code | 8 | github-code | 1 |
30453705281 | #! /usr/bin/env python
#! -*- coding: utf-8 -*-
import sqlite3, copy, datetime
from pathlib import Path
root_path = '../databases'
dbfile = 'call_calibrations.db'
agentdb = Path(root_path,dbfile)
def get_details(func):
def wrapper(_search_name):
con = sqlite3.connect(agentdb)
with con:
... | alan1world/call_calibrations | call_calibrations/test.py | test.py | py | 2,880 | python | en | code | 0 | github-code | 1 |
15708526773 | def get_vowel_frequency(corpus):
"""
Returns a list of frequency percentages for a corpus's vowels.
:param corpus: Any valid Python string
:return: List of frequency percentages
"""
num_a = 0
num_e = 0
num_i = 0
num_o = 0
num_u = 0
temp = ""
for x in range(len(corpus)):
... | casuallysentient/lab_07 | vowel_frequency.py | vowel_frequency.py | py | 1,529 | python | en | code | 0 | github-code | 1 |
32935036695 | import email.utils
import smtplib
from email.mime.application import MIMEApplication
from tkinter import messagebox
from string import Template
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from time import sleep
import os
import csv
import configparser
"""
autor: Pedrozo Juan Mar... | FZMartin/mailing_app | common_services.py | common_services.py | py | 8,609 | python | en | code | 0 | github-code | 1 |
15696919512 | import pandas as pd
from Base.common import rename_header
import seaborn as sns
import numpy as np
from StatisticalTests.Column_Converter import *
from matplotlib import pyplot as plt
def get_stats(dataframe, column1, column2, percentage=False, dump=False, only_max=False):
table = pd.crosstab(dataframe[column1], ... | partha117/A-Comparative-Study-of-Software-Development-Practices-in-the-Context-of-an-Emerging-Country | Scripts/StatisticalTests/Gender_VS_All_STATS.py | Gender_VS_All_STATS.py | py | 5,115 | python | en | code | 0 | github-code | 1 |
36191816908 | from aiohttp import web
from chessviz import main
async def handle(request):
gid = request.match_info.get("gid")
ans = main(gid)
return web.Response(body=ans, content_type="image/svg+xml")
async def make_app():
app = web.Application(client_max_size=10 * 1024**2)
app.add_routes([web.get("/{gid}"... | louisabraham/chessviz | api.py | api.py | py | 418 | python | en | code | 1 | github-code | 1 |
15252733263 | import os
import sys
import random
from os.path import dirname, basename, isfile
import glob
import inspect
import re
import copy
import numpy as np
from collections import deque, defaultdict
from string import Formatter
import generatorUtils as gu
CUR_DIR = os.path.dirname(__file__)
CODEORG_DIR = os.path.join(CUR_D... | malik-ali/generative-grading | src/rubricsampling/engine.py | engine.py | py | 8,838 | python | en | code | 5 | github-code | 1 |
13763204850 | # [백준]1904번-동적계획법-01타일-S3
# https://github.com/irishNoah/Algorithm-Study
# https://www.acmicpc.net/problem/1904
'''
00인 타일을 'X'로, 1인 타일을 'Y'로 치환해서
N이 1~6일 때의 경우의 수를 각각 구하다보면
N이 증가할 때마다 발생할 수 있는 경우의 수가 피보나치 수열을
형성한다는 것을 파악할 수 있다.
'''
def tile(n):
if n == 1:
return tableFib[1]
for cnt in range(2, n... | irishNoah/Algorithm-Study | 알고리즘/파이썬(Python)/002-동적계획법(DP)/002-[백준]1904번-동적계획법-01타일-S3.py | 002-[백준]1904번-동적계획법-01타일-S3.py | py | 1,799 | python | ko | code | 4 | github-code | 1 |
29756061947 | import scipy.special as spe
import numpy as np
from bessel import rj,rh,d_rh, d_rj
##################################################################################
### Script for the caclulation of coefficient for the internal field ###
####################################################################... | GabrielGaugain/MiePyScatt | coeff_int.py | coeff_int.py | py | 1,658 | python | en | code | 0 | github-code | 1 |
7388324669 | import sys
dp={}
def minCoins(coins, m, V):
if V==0:
return 0
if V<0:
return 999999
res=999999
if V in dp:
return dp[V]
for i in range(m):
if V>=coins[i]:
if (V-coins[i]) in dp:
a=dp[V-coins[i]]
else:
a=minCoins(... | parvatalaprasanth/Practice-Python | minimum_coins.py | minimum_coins.py | py | 592 | python | en | code | 0 | github-code | 1 |
26562189978 | USER_TYPE_CHOICE = (
("COACH", "Mentor"),
("STUDENT", "Mentee"),
)
GENDER_TYPE_CHOICES = (
("MALE", "Male"),
("FEMALE", "Female"),
("OTHER","Other"),
)
ETHNICITY_TYPE_CHOICES = (
("BRITISH", "British"),
("OTHER", "Other"),
)
LANGUAGE_TYPE_CHOICE = (
... | bijay-shres123/mentor_matching | backend/profiles_api/choices.py | choices.py | py | 1,522 | python | en | code | 0 | github-code | 1 |
70405322913 |
def solution(N):
# write your code in Python 3.6
binary = bin(N).replace("0b", "")
gap = []
lis = [int(s) for s in binary]
# import pdb;pdb.set_trace()
for i in range(0,len(lis)):
if lis[i] == 0:
continue
elif lis[i] == 1:
if i == len(lis) -1:
... | git-lijo/codility-python | binarygap.py | binarygap.py | py | 892 | python | en | code | 0 | github-code | 1 |
25877808240 | '''
@author: jmc
'''
from setuptools import setup, find_packages
version = '1.3.0'
setup(
name='odn-ckancommons',
version=version,
description="""
CKAN's commons for development of ODN related extensions
""",
long_description="""
""",
classifiers=[], # Get strings from http://pypi.pyth... | OpenDataNode/odn-ckancommons | setup.py | setup.py | py | 657 | python | en | code | 0 | github-code | 1 |
14913214995 | #!/usr/bin/env python
"""Distutils setup file"""
import ez_setup
ez_setup.use_setuptools()
from setuptools import setup
# Metadata
PACKAGE_NAME = "BytecodeAssembler"
PACKAGE_VERSION = "0.6.1"
PACKAGES = ['peak', 'peak.util']
def get_description():
# Get our long description from the documentation
f = open('RE... | PEAK-Legacy/BytecodeAssembler | setup.py | setup.py | py | 1,176 | python | en | code | 1 | github-code | 1 |
8523668579 | import pickle
from pathlib import Path
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as ptc
from nicpy import nic_misc, nic_pic
import a_star
from geometry import Square, SquareGrid
def algo_animation(history_directory, fps=2, frame_skip=1):
matplotlib.use('Agg') # Gets rid of p... | niceholgate/pathfinding | py_pathfinding/plotting.py | plotting.py | py | 4,143 | python | en | code | 0 | github-code | 1 |
72108183075 | from mininet.topo import Topo
from mininet.net import Mininet
from mininet.log import setLogLevel, info
from mininet.link import TCLink
from mininet.node import RemoteController
from mininet.node import Node
from mininet.cli import CLI
import os
import sys
num = int(sys.argv[1])
class Topo(Topo):
Hs = []
Ss ... | EnvyusKennys/tele4642 | project/topo2.py | topo2.py | py | 2,264 | python | en | code | 0 | github-code | 1 |
22020730306 | from . import app
from .models import Survey
from flask import url_for, session, request
from twilio.twiml.messaging_response import MessagingResponse
from sms_app.send_sms import client
from sms_app.scan_email import survey_prompt, welcome_message
import datetime
@app.route('/message')
def sms_survey():
response ... | picsul/short-message-survey | sms_app/survey_view.py | survey_view.py | py | 2,680 | python | en | code | 1 | github-code | 1 |
42152321690 | """Defines functions for standard shell operations that are common on Unix but
are not readily available on Windows in a cross platform way; this is
intended to replace shutil which is less usable for copying and removing
trees."""
import cx_Logging
import os
import stat
import sys
def CopyFile(source, targe... | anthony-tuininga/cx_PyGenLib | cx_ShellUtils.py | cx_ShellUtils.py | py | 2,734 | python | en | code | 3 | github-code | 1 |
24605712534 | from HoG_SVM_SlidingWindow import *
from define_parameter_dict import params_dict
from moviepy.editor import VideoFileClip
import numpy as np
with open(params_dict['svm_pickel_file_for_video'],'rb') as fp:
[cl_svm_vid, std_scaler_vid] = pickle.load(fp)
scale_list = params_dict['detection_scales']
consecutive_appea... | skbhat/SDC-P5 | process_video.py | process_video.py | py | 2,857 | python | en | code | 0 | github-code | 1 |
13969667729 | import sys
#sys.stdin = open("in1.txt","r")
grid = list(list(map(int,input().strip().split())) for _ in range(9))
t = {1,2,3,4,5,6,7,8,9}
result = True
def test(grid):
#행 / 열끼리 비교
for i in range(9):
ch1 = [0]*9
ch2 = [0]*9
for j in range(
9):
... | mateo0604/Inflearn_algorithme | 섹션 3/10. 스도쿠 검사/AA.py | AA.py | py | 850 | python | en | code | 0 | github-code | 1 |
18994907838 | from collections import defaultdict
try:
from itertools import zip_longest
except ImportError:
from itertools import izip_longest as zip_longest
_NONE_TYPE = type(None)
_EMPTY_TYPE = type('', (object,), {})
_MIXED_TYPE = type('<mixed-type>', (object,), {})
class AttrDict(dict):
"""A dict with keys access... | agroce/cs562w16 | projects/xujing/hw4&5/examine.py | examine.py | py | 8,372 | python | en | code | 2 | github-code | 1 |
35987328488 | import aiohttp
from furl import furl
from typing import Optional
class PapaJohnsClient:
def __init__(self, url: str, city_id: int, restaurant_id: int):
self.base_url = url
self.city_id = city_id
self.restaurant_id = restaurant_id
@staticmethod
async def _query(
url: furl, ... | Fisab/foodtech_clients | foodtech_clients/papa_johns.py | papa_johns.py | py | 2,361 | python | en | code | 0 | github-code | 1 |
29893442836 | import datetime
from django.conf import settings
from django.utils.timezone import now
from celery import shared_task
from monascaclient import client as monasca_client
from decouple import config
from core.conf import conf_file
from nova.models import Hypervisors, Servers
monasca = monasca_client.Client(
api_ver... | whasley/lsd-billing | monasca/tasks.py | tasks.py | py | 4,939 | python | en | code | 0 | github-code | 1 |
24666498556 | from django.shortcuts import render
from .models import *
from django.http import HttpResponse
# Create your views here.
def parent_views(request):
return render(request, 'parent.html')
def child_views(request):
return render(request, 'child.html')
def add_author_views(request):
obj = Author(name='jianai... | smakerm/list | pyweb/django/my_project/day4/index/views.py | views.py | py | 2,825 | python | en | code | 0 | github-code | 1 |
33051190896 | """
PyCSP3 Model (see pycsp.org)
Data can come:
- either directly from a JSON file
- or from an intermediate parser
Examples:
python Nonogram.py -data=Nonogram_example.json
python Nonogram.py -data=Nonogram_example.json -variant=table
python Nonogram.py -data=Nonogram_example.txt -dataparser=Nonogram_Parser.p... | csplib/csplib | Problems/prob012/models/Nonogram.py | Nonogram.py | py | 2,617 | python | en | code | 79 | github-code | 1 |
14891452818 | from rest_framework import serializers
from django_redis import get_redis_connection
from redis.exceptions import RedisError
import logging
logger = logging.getLogger('django')
class CheckImageCodeSerializer(serializers.Serializer):
"""
图片验证码校验序列化器
"""
image_code_id = serializers.UUIDField()
text... | potatoxinxin/store | meiduo_mall/meiduo_mall/apps/verifications/serializers.py | serializers.py | py | 1,970 | python | zh | code | 0 | github-code | 1 |
42994859188 | import re
NUM_OR_DOT_REGEX = re.compile(r"^[0-9.]$")
CODECS = (
("MP4", "libx264"),
("WEBM", "libvpx"),
("MOV", "mov"),
("MPEG-1", "mpeg1video"),
("MPEG-2", "mpeg2video"),
("MPG", "mpeg2video"),
("MPEGPS", "mpeg2video"),
("MPEG4", "mpeg4"),
("AVI", "msmpeg4"),
("WMV", "wmv2"),
... | edududs/video_converter | PySide_6/utils.py | utils.py | py | 1,743 | python | en | code | 0 | github-code | 1 |
72660230113 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | edersonbrilhante/coleta-assinaturas | contador/migrations/0001_initial.py | 0001_initial.py | py | 3,169 | python | en | code | 0 | github-code | 1 |
4554888307 | def open_file(file_name):
''' Opens file '''
try:
file_object = open(file_name, "r")
return file_object
except FileNotFoundError:
print("File", file_name, "not found")
def read_file_parts(file_object):
''' Reads and processes grade parts from file 1 '''
list_of_parts = []
... | arnoringi/forritun | Skilaverkefni/course_grades.py | course_grades.py | py | 4,099 | python | en | code | 0 | github-code | 1 |
70983035873 | # data_loader.py
import os
import torch
import numpy as np
from torchvision import datasets, transforms
from torch.utils.data import DataLoader, Subset
def load_and_split_dataset(num_classes, num_clients, alpha, non_iid=False):
transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize((0.5,), (0.... | Twinte/FedAVG_with_Entropy_Selection | data_loader.py | data_loader.py | py | 2,567 | python | en | code | 0 | github-code | 1 |
25478464200 | BACKGROUND_COLOR = (0, 0, 0) # Colors.black
DATETIME_FORMAT = "%Y%m%d_%H%M%S_%f"
DEFAULT_IMAGE_SIZE = (1080, 1080)
IMAGE_DIRECTORY_NAME = 'files'
IMAGE_FORMAT_COLOR_MODE = 'RGB'
IMAGE_FORMAT = 'jpeg'
IMAGE_EXTENSION = 'jpeg'
# Video settings
BITRATE = 3000
FRAMES_PER_SECOND = 30
VIDEO_EXTENSION = 'mp4'
VIDEO_CODEC =... | josvromans/python_shapes | settings.py | settings.py | py | 362 | python | en | code | 7 | github-code | 1 |
74374471392 | import subprocess
import json
def cacheMissHit():
try:
api = json.loads(subprocess.check_output("varnishstat --json", shell=True, text=True))
except:
return {"cacheHits": 0, "cacheMiss": 0, "hitRatio": 0, "backendFetches": 0, "backendFailures": 0, "backendFailRatio": 0}
hit = api["counters"... | trentwiles/BARTAPI | varnishStat.py | varnishStat.py | py | 1,413 | python | en | code | 1 | github-code | 1 |
26520589208 | #Escribe un programa que pida dos números y que conteste cuál es el menor y
#cuál el mayor o que escriba que son iguales.
n1= int(input("Da el primer numero: "))
n2= int(input("Da el segundo numero: "))
if n1>n2:
print("Mayor: ",n1, "Menor: ", n2)
elif n1<n2:
print("Mayor: ",n2, "Menor: ", n1)
else... | JUANPABLO99YYDUS/18460609-Ejercicios-Python | Ejercicios-02/Condiciones-03.py | Condiciones-03.py | py | 360 | python | es | code | 0 | github-code | 1 |
11481832162 | from zope.interface import Attribute, Interface
from zope.interface.interfaces import IObjectEvent
from zope.lifecycleevent import IObjectCreatedEvent
from zope.schema import ASCIILine, Bool, Choice, Dict, Field, Object, Text, TextLine, Tuple, URI
from pyams_form.interfaces import DISPLAY_MODE, IContentProviders, IFie... | Py-AMS/pyams-form | src/pyams_form/interfaces/form.py | form.py | py | 13,055 | python | en | code | 0 | github-code | 1 |
26904398226 | import sys
from collections import deque
input = sys.stdin.readline
n = int(input())
lst = []
for _ in range(n):
lst.append(list(input().strip()))
visited = []
count = 0
dx = [1, -1, 0, 0]
dy = [0, 0, 1, -1]
for i in range(n):
for j in range(n):
if (i, j) not in visited and lst[i][j] != '0':
... | habaekk/Algorithm | boj/2667.py | 2667.py | py | 1,423 | python | en | code | 0 | github-code | 1 |
25271406830 | import numpy as np
FIGURE_STYLE = {"rows": 720, "cols": 1280, "fontsize": 1.0}
AX_SPAN = [0.2, 0.2, 0.75, 0.75]
AX_SPAN_WITH_COLORBAR_PAYLOAD = [0.2, 0.2, 0.55, 0.75]
AX_SPAN_WITH_COLORBAR_COLORBAR = [0.8, 0.2, 0.025, 0.75]
SOURCES = {
"diffuse": {
"label": "area $\\times$ solid angle",
"unit": "... | cherenkov-plenoscope/starter_kit | plenoirf/plenoirf/summary/figure.py | figure.py | py | 3,004 | python | en | code | 0 | github-code | 1 |
44612251281 | from poly.polygon import Polygon
from poly.point import Point
from poly.util import value,computeAngleSign
from math import degrees, acos, sqrt
"""
Implement Convex Polygon Intersection algorithm
[O'Rourke, Chien, Olson, Naddor, 1982]
https://pdfs.semanticscholar.org/3a68/0593c409eb0d86a9c436113581df970554ba.pdf
No... | heineman/python-polygon-intersection | Polygon/poly/convex_intersect.py | convex_intersect.py | py | 5,006 | python | en | code | 15 | github-code | 1 |
8543674282 | # -*- coding: UTF-8 -*-
"""
@Project : leetcode
@File : 17-迭代构造二叉树.py
@IDE : PyCharm
@Author : Peter
@Date : 06/12/2021 11:52
@Brief : 使用前序和中序遍历结构构造二叉树
"""
from typing import List
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
... | JinkaiGUAN/Python-Office | 1-DataStructure/leetcode/17-迭代构造二叉树.py | 17-迭代构造二叉树.py | py | 1,446 | python | en | code | 0 | github-code | 1 |
21457893362 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
options = webdriver.ChromeOptions()
options.add_experimental_option("detach", True)
driver = webdriver.Chrome(options=options)
url = "https://www.wikipedia.org/"
driver.get(url)
search_bar = driv... | Know-Thyself/python-exercises | web_scraping/selenium-driver/interacting.py | interacting.py | py | 744 | python | en | code | 0 | github-code | 1 |
11324370328 | from __future__ import annotations
from typing import List, TYPE_CHECKING, Optional
from . import utils
from .asset import Asset
from .flags import ApplicationFlags
from .permissions import Permissions
if TYPE_CHECKING:
from .guild import Guild
from .types.appinfo import (
AppInfo as AppInfoPayload,
... | Rapptz/discord.py | discord/appinfo.py | appinfo.py | py | 11,623 | python | en | code | 13,719 | github-code | 1 |
3686994958 | import json
colnames = ['cylinders','mpg'];
editable_vars = ['numchar','nature'];
preprocess_json = {
"$schema":"http://(link to eventual schema)/jsonschema/1-0-0#",
"self":{
"description":"TwoRavens metadata generated by ....",
"created":"..time stamp..... | TwoRavens/raven-metadata-service | preprocess/raven_preprocess/tests/test_data/sampleTest.py | sampleTest.py | py | 6,988 | python | en | code | 0 | github-code | 1 |
43512977578 | '''
347. 前 K 个高频元素
给定一个非空的整数数组，返回其中出现频率前 k 高的元素。
示例 1:
输入: nums = [1,1,1,2,2,3], k = 2
输出: [1,2]
示例 2:
输入: nums = [1], k = 1
输出: [1]
说明：
你可以假设给定的 k 总是合理的，且 1 ≤ k ≤ 数组中不相同的元素的个数。
你的算法的时间复杂度必须优于 O(n log n) , n 是数组的大小。
'''
from collections import Counter
import heapq
class... | km1994/leetcode | topic10_queue/T347_topKFrequent/interview.py | interview.py | py | 1,036 | python | zh | code | 24 | github-code | 1 |
43687386238 | # -*- coding: utf-8 -*-
from PyQt4 import QtGui
from modules.classes.custom.QTableWidgetItem import QCustomTableWidgetItem as QCI
def setItemArmEvEsChtbGcscGcsmCscfsCspSpdQty(form, itemIndex, dataPropertiesImplicitExplicitLinesList, typeName):
if dataPropertiesImplicitExplicitLinesList:
temp = dataProperti... | Doberm4n/POEStashJsonViewer | modules/items/armEvEsChtbGcscGcsmCscfsCspSpdQty.py | armEvEsChtbGcscGcsmCscfsCspSpdQty.py | py | 4,057 | python | en | code | 0 | github-code | 1 |
29107903755 | n = int(input("Enter number of values : "))
a_dict = {}
for i in range(n):
text = input().split()
a_dict[text[0]] = int(text[1])
def removeDuplicates(a_dict):
b_dict = {}
n = 0
m = 0
first = 0
for key1 in a_dict:
if first == 0:
b_dict[key1] = a_dict[key1]
... | georgaras753/Lab1_Exercises | Lab1_Exercise2.py | Lab1_Exercise2.py | py | 980 | python | en | code | 0 | github-code | 1 |
25985233479 | # -*-coding:utf-8 -*
"""
基于dqn的agent
"""
import numpy as np
import random
from agent import Agent
import sys
sys.path.append(sys.path[0].replace("agent",""))
from config import args
from policy_learning import DQN_dis
class AgentDQN(Agent):
def __init__(self, slot_set, disease_set, disease_symptom):
super(... | Ccccandy/20211208 | model3/agent/agent_dqn.py | agent_dqn.py | py | 3,355 | python | en | code | 0 | github-code | 1 |
22062675299 | # -*- coding: utf-8 -*-
"""
Project: Psychophysics_exps
Creator: Miao
Create time: 2020-12-20 21:07
IDE: PyCharm
Introduction: preprocessed data of crowding and numerosity exp3a (online pilot)
"""
from src.analysis.exp3a_pilot_analysis import insert_is_resp_ref_more, insert_probeN, insert_refN, insert_probeCrowding, \
... | miaoli-psy/numerosity_exps | src/preprocess/preprocess_exp3a_pilot.py | preprocess_exp3a_pilot.py | py | 3,061 | python | en | code | 0 | github-code | 1 |
4175644136 |
import rclpy
import time
import datetime
import numpy as np
from rclpy.node import Node
from sensor_msgs.msg import Imu, BatteryState
from sensor_msgs.msg import LaserScan
from rclpy.qos import qos_profile_sensor_data
class SensorsSubscriber(Node):
def __init__(self):
super().__init__('sensors_subscriber')
s... | PatchouliPatch/robots | topics/sensor_topics/sensor_topics/sensors.py | sensors.py | py | 3,920 | python | en | code | 0 | github-code | 1 |
373802572 | import copy
import warnings
from typing import Optional, Tuple
from vyper import ast as vy_ast
from vyper.lll import compile_lll, optimizer
from vyper.old_codegen import parser
from vyper.old_codegen.global_context import GlobalContext
from vyper.semantics import set_data_positions, validate_semantics
from vyper.typin... | webanck/GigaVoxels | lib/python3.8/site-packages/vyper/compiler/phases.py | phases.py | py | 9,003 | python | en | code | 23 | github-code | 1 |
6248797453 | import numpy as np
import networkx as nx
import random
import timeit
import gym
import matplotlib.pyplot as plt
from utils import get_node_values
from utils import interventional_selection
env = gym.make('Taxi-v3')
n_actions = env.action_space.n
n_states = env.observation_space.n
qtable = np.zeros((n_states,n_actions... | atagade/Causal-RL | taxi_causal_greedy.py | taxi_causal_greedy.py | py | 2,081 | python | en | code | 0 | github-code | 1 |
16921762500 | from random import randint, shuffle
import discord
import modules.math.strmath as strmath
import modules.math.wolfram as wolfram
import modules.math.latex as latex
from command import command
from util import client, theme_color, error_color
from logger import log
# import urllib.parse
@command('math')
async def ... | ComedicChimera/Null-Discord-Bot | modules/math/commands.py | commands.py | py | 2,980 | python | en | code | 0 | github-code | 1 |
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