First 34 rows of python
| uuidstring | repo_namestring | relative_pathstring | contentstring | categorystring | algo_rel_scorefloat32 | quality_scorefloat32 | source_meta |
|---|---|---|---|---|---|---|---|
| 67da4e05-d453-4952-b3a9-36545a3d41e1 | danielhellebust/sunshinelocator | src/app.py | import plotly.graph_objects as go import pandas as pd import dash from dash import dcc from dash import html from dash.dependencies import Input, Output import dash_bootstrap_components as dbc # create a dash app with a interactive map with bubbles app = dash.Dash(external_style… | DATA | 0.9257963299751282 | 5.9661865234375 | {"github_metadata":{"branch":"main","commit_count":5,"repo_created_at":"2023-03-18T20:59:15.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"8f9e29a32ebede683741a81511853d01da88f9e6","size_b… |
| e7928f7a-6c57-414f-a296-c7d344a0280c | dreadkopp/activejob_bootstrap | activejob/activejob/jobs/models.py | from django.db import models from django.urls import reverse class Contact(models.Model): first_name = models.CharField(max_length=100) last_name = models.CharField(max_length=100) def __str__(self): return "{} {}".format(self.first_name, self.last_name) … | WEB | 0.9154312014579773 | 6.558589935302734 | {"github_metadata":{"branch":"master","commit_count":496,"repo_created_at":"2017-05-14T12:30:55.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"0867770bbe6ba8152822043291e4bdf91421fe91","si… |
| 91a73791-1b3e-4908-8d27-2201938550b9 | bilbof/trifecta | rangemap.py | # RangeMap handles dividing up the prefix ranges into balanced chunks and returning the node responsible # for a given range i.e. (AAA) -> abc import itertools import hashlib import bisect # TODO: Handle nodes that are "dead" or whatever # Do something smarter with node ids (rath… | ALGO | 0.9898396730422974 | 6.5730366706848145 | {"github_metadata":{"branch":"main","commit_count":3,"repo_created_at":"2024-12-20T17:58:26.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"7c0240cff457d1cb0fde54ec8d2b329689176374","size_b… |
| fbda2b80-8f81-4717-83f0-38673132f8e9 | mh-algo/algorithm | BOJ/Python3/13460_1.py | import sys from collections import deque def move(board, y, x, dy, dx): cnt = 0 while board[y+dy][x+dx] != '#' and board[y][x] != 'O': y += dy x += dx cnt += 1 return y, x, cnt def bfs(board, r, b, n, m): d = [(-1,0), (1,0), (0,-1), (0,1)… | ALGO | 0.9995927214622498 | 3.0635788440704346 | {"github_metadata":{"branch":"main","commit_count":91,"repo_created_at":"2021-05-21T10:47:44.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"b47ffd5204b8fb0277a96377070228040af90087","size_… |
| 08f2053b-763c-4cea-b70e-d6424665355f | Inveterate-Enthusiast/LeetCode | Python/574. Winning Candidate.py | # Table: Candidate # # +-------------+----------+ # | Column Name | Type | # +-------------+----------+ # | id | int | # | name | varchar | # +-------------+----------+ # id is the column with unique values for this table. # Each row of this table contai… | DATA | 0.919859766960144 | 5.1391754150390625 | {"github_metadata":{"branch":"main","commit_count":278,"repo_created_at":"2024-07-21T09:18:14.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"23e9043ba97a570446e7b92a11b2f7442cb28d88","size… |
| f7f4f1aa-38b7-4d97-b412-ad2759a76ea7 | verasztoadam/JunctionXBudapest2022 | monthly_statistics.py | import os import moment from math import sqrt from sklearn.metrics import mean_squared_error import pandas as pd from pandas.plotting import autocorrelation_plot as aplt import datetime as dt import numpy as np from numpy import log import matplotlib.pyplot as plt import seaborn … | DATA | 0.9819437265396118 | 3.613046169281006 | {"github_metadata":{"branch":"master","commit_count":13,"repo_created_at":"2022-10-21T16:03:29.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"1b5c4eac10cc3eea0ae6419699f2a1c304b05bc5","siz… |
| f04c4eb7-3612-4c06-8fde-3cc7d2bb8122 | b0ggyb33/aoc2016 | day2.py | import unittest import numpy as np def move(keypad, start, direction): where = np.where(keypad==str(start)) where_asarray = np.asarray(where) coordinates = where_asarray.T[0] functions = {'U':[-1,0], 'L': [0,-1], 'R':[0,1], 'D':[1,0]} new = coordinates + fu… | TEST | 0.9757187366485596 | 5.736575603485107 | {"github_metadata":{"branch":"master","commit_count":14,"repo_created_at":"2016-12-01T15:16:12.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"65dea085978959625133409839f1e7c3e836c274","siz… |
| b191df6f-fbc5-4368-a7a0-4571d8f6def6 | dada-xiv/baekjoon-online-judge | 1439.py | ''' 문제 0과 1로만 이루어진 문자열 S를 가지고 있다. 이 문자열 S에 있는 모든 숫자를 전부 같게 만들려고 한다. 할 수 있는 행동은 S에서 연속된 하나 이상의 숫자를 잡고 모두 뒤집는 것이다. 뒤집는 것은 1을 0으로, 0을 1로 바꾸는 것을 의미한다. 예를 들어 S=0001100 일 때, 전체를 뒤집으면 1110011이 된다. 4번째 문자부터 5번째 문자까지 뒤집으면 1111111이 되어서 2번 만에 모두 같은 숫자로 만들 수 있다. 하지만, 처음부터 4번째 문자부터 5번째 문자까지 … | ALGO | 0.9634026288986206 | 3.9126901626586914 | {"github_metadata":{"branch":"main","commit_count":40,"repo_created_at":"2023-06-09T07:55:13.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"4d646cfa9abf4657de4695c6af6cb06b1d8e32ca","size_… |
| 9198f736-bee4-4fb7-9b47-5e268c103abf | anannyaarya/document-chatbot-backend | app/main.py | from fastapi import FastAPI, UploadFile, File, Form from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import JSONResponse import pytesseract from PIL import Image import pdfplumber import os import shutil import openai app = FastAPI() # CORS for frontend… | WEB | 0.9742444157600403 | 5.985147476196289 | {"github_metadata":{"branch":"main","commit_count":1,"repo_created_at":"2025-05-22T06:10:57.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"0561286cdf0091afe8d89a2541f77842ef2f4f13","size_b… |
| 71d8f224-f977-4640-b752-3602e620e99a | CHERTvsINTERNET/webproject | main.py | import datetime import os from random import choice, sample, shuffle import requests import sqlalchemy from flask import ( Flask, abort, redirect, render_template, request, send_file, url_for ) from flask_login import ( LoginManager, current_user, login_required, … | WEB | 0.9058485627174377 | 3.8385722637176514 | {"github_metadata":{"branch":"main","commit_count":42,"repo_created_at":"2025-04-16T15:14:57.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":2,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"cec9cb2e5138a46d284ef7913f039663f727c4f1","size_… |
| 08f5c3ab-eed5-43e6-8a10-13a0d4de9594 | IamWilliamWang/Leetcode-practice | 2020.7/阿里-小强的神奇矩阵.py | from typing import List, Tuple import numpy as np def 最小连续和(matrix: List[List[int]]): matrix: np.ndarray = np.array(matrix) rows, cols = matrix.shape assert rows == 3 minDiffSum = 2 ** 31 - 1 for row in range(rows): i, j = row, 0 steps: List… | ALGO | 0.9893472194671631 | 4.033224105834961 | {"github_metadata":{"branch":"master","commit_count":7,"repo_created_at":"2020-07-23T04:02:22.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"575eade218b7307d0433ca985c218c33067caf78","size… |
| 54de64be-4974-4353-bced-446c34074fa9 | jessie-JNing/Cluster_GeneExpression | Fun_Package/GA.py | __author__ = 'Jessie' import random from Fitness_Function import * from Genetic_Operator import * def Genetic_Algorithm(EM,EMB,Results,N,M,Mean_Square_Residue_Threshold): Whole_Ind = len(EMB) Population_Index = [random.randint(0,Whole_Ind-1) for i in range(0,200)] Fir… | DATA | 0.9895458817481995 | 4.002933502197266 | {"github_metadata":{"branch":"master","commit_count":12,"repo_created_at":"2015-08-16T23:37:45.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"5d9dc83b5b55d21ca589416ca7c2458791255344","siz… |
| 18af180c-784e-4204-b91c-bb8c635574bb | neuralmedicalimages/Stochastic-Dose-Prediction | my_utils.py | # my_utils.py import os import shutil from omegaconf import ListConfig def clean_folder(folder): """ Recursively deletes all files and subdirectories in the specified folder. If the folder does not exist, it creates the folder. :param folder: Path to the fo… | TOOL | 0.9715145230293274 | 5.315000534057617 | {"github_metadata":{"branch":"main","commit_count":1,"repo_created_at":"2025-02-03T07:30:33.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":1,"forks":1,"issues":0,"pull_requests":0},"file_meta":{"content_id":"5a508223d5beae398cf0e48b37312b76e5aa11a1","size_b… |
| 5bcee1e0-7e56-47a5-b063-9f55d97023b9 | faxioman/django-sofa | setup.py | #!/usr/bin/env python3 import os import re import shutil import sys from io import open from setuptools import find_packages, setup CURRENT_PYTHON = sys.version_info[:2] REQUIRED_PYTHON = (3, 6) if CURRENT_PYTHON < REQUIRED_PYTHON: sys.stderr.write(""" ====================… | TOOL | 0.9142861366271973 | 5.803330898284912 | {"github_metadata":{"branch":"master","commit_count":32,"repo_created_at":"2021-04-30T10:57:44.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":1,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"4eba43a025929090f2a94a1f50f9d8e0f2146d45","siz… |
| 5b82be01-ad3a-496b-8b98-a170bc4881bd | joesound/taipei-linux | utils/bookmiddleware.py | from utils.CRUDbook import creat_booking, read_booking, update_booking, delete_booking from utils.getattactions import get_attraction_by_page_keyword, get_attraction_by_id def check_book_content(book_info): if (book_info["email"] =="") or (book_info["email"] ==False): … | TOOL | 0.9928073883056641 | 4.118470668792725 | {"github_metadata":{"branch":"develop","commit_count":31,"repo_created_at":"2022-04-18T12:31:39.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"97bdebc1f693ffa35fa3c8f8eb16fd79beb909ee","si… |
| 535fc4e6-df1d-449a-8041-b985b71b6aa5 | 15aditya/data-analysis-pandas | utils/utilities.py | from datetime import datetime import requests class Convertor(object): rates = {} def __init__(self, url): data = requests.get(url).json() self.rates = data["rates"] def convert_from_usd(self, amount_usd, to_currency): """ Co… | DATA | 0.9334529042243958 | 4.0856218338012695 | {"github_metadata":{"branch":"feature/initial_commit","commit_count":3,"repo_created_at":"2021-01-21T06:25:27.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"cced03e2823018e89a9b94744a2b624… |
| 1c58472a-4187-4677-a2fa-cfb70e739ed5 | ragibson/ModularityPruning | utilities/leiden_utilities.py | import functools from multiprocessing import Pool, cpu_count import igraph as ig import leidenalg import numpy as np from tqdm import tqdm LOW_MEMORY_THRESHOLD = 1e9 # 1 GB @functools.lru_cache(maxsize=1000) def sorted_tuple(t): """Converts a tuple to a canonical form in… | DATA | 0.9453561902046204 | 7.02833890914917 | {"github_metadata":{"branch":"master","commit_count":212,"repo_created_at":"2020-02-06T21:40:20.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":16,"forks":2,"issues":3,"pull_requests":0},"file_meta":{"content_id":"c9ef074b17395197776b2495ee670027b6ef99fd","s… |
| eaf54fd0-8f55-4f24-9d18-9d62d3c79574 | Ana-ovidio/TrabalhoAPA | .ipynb_checkpoints/main-checkpoint.py | import networkx as nx import random import math import numpy as np from attrs import define @define class TriangularMatrix: num_nodes: int = 100 def generate_random_graph(self, mult: int = 10) -> nx: num_edges = random.randint(self.num_nodes, mult * self.num_no… | DATA | 0.954761266708374 | 4.735138893127441 | {"github_metadata":{"branch":"master","commit_count":4,"repo_created_at":"2024-05-19T17:20:15.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"c93f2eac20ec87b54df91602b43ed786d1fcd85b","size… |
| 37d11e36-52c6-4683-95eb-092d06daf4c6 | kjh011012/wms_project | manager/backend/smart_phone_inbound/todolist/outbound_unprocessed.py | from flask import request, jsonify import mysql.connector from datetime import datetime import pytz def get_cursor(): conn = mysql.connector.connect( host='연결호스트', user='데이터베이스 사용자 이름', password='<PASSWORD>', database='데이터베이스 이름' ) ret… | WEB | 0.94698166847229 | 5.069469928741455 | {"github_metadata":{"branch":"main","commit_count":25,"repo_created_at":"2025-05-26T06:56:10.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"4abb7db83b32396c4a704b485ca5eb4a959723cd","size_… |
| 0b35faf9-2eb3-45cd-a2b6-750ae38b0918 | espnet/espnet | egs2/coraal/asr1/local/snippet_generation.py | # adapted from Koenecke et al (2020) # https://github.com/stanford-policylab/asr-disparities/blob/master/ # src/utils/snippet_generation.py import glob import os import sys from datetime import datetime import numpy as np import pandas as pd from pydub import AudioSegment de… | TOOL | 0.9923263788223267 | 6.807211399078369 | {"github_metadata":{"branch":"master","commit_count":23330,"repo_created_at":"2017-12-13T00:45:11.000Z","is_fork":false,"is_org_owned":true,"forked_from":null,"stars":9295,"forks":2301,"issues":100,"pull_requests":65},"file_meta":{"content_id":"fea2bf978a657d5d5bf35d2bee9de2ac959… |
| 159aa641-d792-4d50-9dcd-66192f86f630 | funnydog/AoC2019 | day17/day17.py | #!/usr/bin/env python3 from collections import deque, defaultdict import sys ADD = 1 # add [a], [b] into [c] MUL = 2 # mul [a], [b] into [c] IN = 3 # read stdin and store to a OUT = 4 … | TOOL | 0.9944979548454285 | 3.5976779460906982 | {"github_metadata":{"branch":"master","commit_count":37,"repo_created_at":"2019-12-09T13:14:38.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"f2c52ce374c1b1d9a60db068ec245ea6478464d8","siz… |
| 8ee4c372-49f8-4657-98f9-c452751fc919 | Aryan0102/CoDesign | backend/routes/post_routes.py | # Imports from flask import request, jsonify from config import db, JWT_SECRET_KEY from models import * from flask_jwt_extended import jwt_required, get_jwt_identity, decode_token from flask import Blueprint import cloudinary import cloudinary.uploader from bson.objectid import O… | WEB | 0.9918704032897949 | 4.080760478973389 | {"github_metadata":{"branch":"main","commit_count":101,"repo_created_at":"2025-01-26T16:48:54.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":1,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"2d7ca10f6515ce634daa749fbfd85b9576da9f77","size… |
| bda886ec-cfa3-44b4-bb85-99cb0c133de2 | sonukumar1722/CS50 | CS50p/lines/lines.py | from sys import argv, exit def main(): if len(argv) > 2: # Too many command-line arguments print("Too many command-line arguments") exit(1) elif len(argv) < 2: # Too few command-line arguments print("Too few command-line arguments… | TOOL | 0.9920315742492676 | 6.586234092712402 | {"github_metadata":{"branch":"main","commit_count":31,"repo_created_at":"2024-02-14T18:17:26.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"6a67234d95196034b91b5cc241b71d3002bbe777","size_… |
| a79d307c-7ac3-4c1a-9ec9-c76bdde65898 | nathanzhu144/practices | slidingwindow/OA_2020_zippity_min_car_roof_cov.py | # <NAME> 1st, 2020, Doing zippity OA. Finished 376 exam 2 days ago. # Leetcode n/a | n/a | medium # Category: Sliding window # # Question: # Given a sparse 1D parking lot, where we have up to 10^14 slots, and up to 10^5 cars, we want to find # to cover at least k slots with a c… | ALGO | 0.9950868487358093 | 6.042864799499512 | {"github_metadata":{"branch":"master","commit_count":125,"repo_created_at":"2019-06-03T23:15:08.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":5,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"9a8d3f37107d2c03cd6bf33e04e2755869da6071","si… |
| fb8221a2-db60-4956-b85f-8b0df1678adc | hanjinliu/acryo | tests/test_simulator.py | import numpy as np from acryo import TomogramSimulator, Molecules from acryo.testing import spiral, blobs import polars as pl def test_simulator(): img = spiral() sim = TomogramSimulator() pos = np.array([[40, 40, 40], [30, 40, 30], [40, 30, 40]]) vec = np.array… | TEST | 0.9474599957466125 | 7.340672492980957 | {"github_metadata":{"branch":"main","commit_count":326,"repo_created_at":"2022-04-12T12:11:39.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":8,"forks":0,"issues":1,"pull_requests":0},"file_meta":{"content_id":"50cd5ae5129e95f0fe38c321e4d8df6265571831","size… |
| 0cdd0c31-84e1-4a3e-b77a-87a2f4a113f4 | deadnews/encode-scripts | src/completed/2018-SiriusJaeger/e7.py | import dnfunc as dn # -----in----- # epname = dn.fname(__file__) Part_A = dn.chapt(epname, "Part_A") Part_B = dn.chapt(epname, "Part_B") ED = dn.chapt(epname, "ED") EDend = dn.chapt(epname, "Part_C", "Next") Next = dn.chapt(epname, "Next") End = dn.chapt(epname, "End") map_ed … | DATA | 0.9536721706390381 | 3.7863776683807373 | {"github_metadata":{"branch":"main","commit_count":123,"repo_created_at":"2022-09-20T17:24:38.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":11,"forks":3,"issues":1,"pull_requests":0},"file_meta":{"content_id":"f47431c2388df54c690d802065b2014420a4ff6c","siz… |
| 99e43529-3fc0-4c30-adea-a5fc9a7ec426 | 3334gFIOP-school/Computer-Science-Final | save_load.py | # <NAME> # functions to save and load songs to csv and convert them into a readable format import pandas as pd # function to load the CSV to a dictionary def load(csv): songs = pd.read_csv(csv).to_dict() # make playlist list string into a list of lists for ind in… | TOOL | 0.9917628765106201 | 3.747882127761841 | {"github_metadata":{"branch":"main","commit_count":403,"repo_created_at":"2025-04-09T19:25:20.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":5,"pull_requests":0},"file_meta":{"content_id":"4533db5ef1bdfb01d96fc38583b368ca01d7bbf4","size… |
| cc0a8405-6682-4526-ae15-d9fed436205e | cld378632668/MyCode | [Important]python_log_parse/logstat_log_new.py | # -*- coding: UTF-8 -*- """LOG日志处理""" import re import xlwt import datetime # FILLE_NAME = '20171018-4s' # FILLE_NAME = 'LOG_rocksdb_origin-ycsb_1G_50G_onlyrun_cld' # FILLE_NAME = 'LOG-4s-nocompression' FILLE_NAME = 'LOG_slot_optimal_default_ycsb_run_60G' FILLE_NAME = r'G:\1-Roc… | TOOL | 0.9311003684997559 | 3.3063597679138184 | {"github_metadata":{"branch":"master","commit_count":12,"repo_created_at":"2015-09-30T23:49:39.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":4},"file_meta":{"content_id":"306cf8f0fda4b5f3d1301c04a4316b22f08921e0","siz… |
| 2e3c8a5c-50e4-410a-8253-6e5cbfa0c3eb | Doubledown11/Python_Leetcode | sqrt(x).py | """ Leetcode Q 69 -- Sqrt(x). You must NOT use any built-in exponent function or operator for this solution. We are using an adjusted binary search. Simplified Time Complexity: O(n) Constraints: 0 <= x <= 231 - 1 """ def mySqrt(x): # Check constraint 1: if x < 0… | ALGO | 0.9890907406806946 | 4.0757737159729 | {"github_metadata":{"branch":"main","commit_count":41,"repo_created_at":"2025-06-06T03:15:55.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"5ed0fe7c002e8f19a1c997ded806c7675aa5e037","size_… |
| f42e3755-5a13-4a3a-bd0f-df89959f4c97 | yangliu2/mahjong | mahjong/tile_displayer.py | """ Find the best way to display tile in command line """ from mahjong.suit import Suit from dataclasses import dataclass @dataclass(order=True) class TileDisplayer: suit: Suit number: int @staticmethod def increment_hex(unicode_str: str, … | TOOL | 0.9740859270095825 | 7.371701240539551 | {"github_metadata":{"branch":"main","commit_count":61,"repo_created_at":"2022-07-28T00:47:56.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"94e68257336bd7154036498deb898f557afbc3e6","size_… |
| 5b9c7c99-8aa2-4482-a1a8-d730acff468a | S-c-r-a-t-c-h-y/coding-projects | Python/Compression/qoi.py | """ Python implementation of the QOI formatting algorithm wich is faster than PNG and has a slightly lower compression rate. references : https://qoiformat.org/qoi-specification.pdf https://www.youtube.com/watch?v=EFUYNoFRHQI """ from PIL import Image from numpy im… | DATA | 0.9885053038597107 | 5.872209548950195 | {"github_metadata":{"branch":"master","commit_count":137,"repo_created_at":"2021-07-09T19:40:08.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":1,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"f15c8776ddd4f2adf68fc618fd3b60392f73fa4f","si… |
| 1367456d-44bb-4e4e-a877-f1163907387b | vklikar/advent-of-code-2023 | advent_of_code_2023/day07.py | from collections import Counter from enum import IntEnum, auto def parse_data(data): lines = [line.split() for line in data.splitlines()] return [(hand, int(bid)) for hand, bid in lines] class HandType(IntEnum): HIGH_CARD = auto() ONE_PAIR = auto() TWO_PAI… | TOOL | 0.9672882556915283 | 7.358088493347168 | {"github_metadata":{"branch":"main","commit_count":15,"repo_created_at":"2023-12-06T08:11:36.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":0,"issues":0,"pull_requests":0},"file_meta":{"content_id":"5094ef1ee99948ca5ffded059cd34191792e12c4","size_… |
| 0abf6f6d-b0bd-4cb5-aae5-f35d1dc07cd9 | quwubin/MFEprimer-2.0-Web | dnacluster/DNACluster.py | #!/usr/bin/env python # -*- coding:utf-8 -*- from __future__ import division '''Cluster DNA sequences by k-mer based method by <NAME> <<EMAIL>>, Copyright @ 2010, All Rights Reserved. ''' Author = '<NAME>, <NAME> & <NAME> <<EMAIL>>' Date = 'Apr-03-2011 22:46:09' Version = … | TOOL | 0.9720364212989807 | 4.13822078704834 | {"github_metadata":{"branch":"master","commit_count":77,"repo_created_at":"2012-04-27T03:24:02.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":1,"forks":3,"issues":0,"pull_requests":0},"file_meta":{"content_id":"2b3fbcca69bdc9a24d100c81e87f612259df84a7","siz… |
| 7c43ae73-02df-4211-886c-86f33ad3003c | Elliot-Garcia/TPs_CS-DEV | TP1/nb_tricolore.py | # -*- coding: utf-8 -*- """ Objectif : Reconnaitre et lister les nombre dit 'tricolore' Date de réalisation : 23/11/2020 Par <NAME> (Gr C) """ def taille_nombre(n): """ But : calculer le nombre de chiffre dans le nombre n Entrées : n = un entier (int) … | ALGO | 0.9988998174667358 | 4.0912065505981445 | {"github_metadata":{"branch":"master","commit_count":14,"repo_created_at":"2020-11-30T14:37:17.000Z","is_fork":false,"is_org_owned":false,"forked_from":null,"stars":0,"forks":1,"issues":0,"pull_requests":1},"file_meta":{"content_id":"2ec3f7984a79ef10a5c45683170b1bd8f3dec495","siz… |
