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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
43512837698 | class Solution:
def merge(self, nums1, m, nums2, n):
if n != 0:
if m == 0:
for i in range(n):
nums1[i] = nums2[i]
m = n
else:
for i in range(n):
l = i
print(l)
r = m-1
while l <= r:
mid = int((l+r)/2)
if... | km1994/leetcode | old/t20190909_merge/merge.py | merge.py | py | 783 | python | zh | code | 24 | github-code | 1 |
11587990326 | #!/usr/bin/env python3
"""
Solution for embedded items 5x5 matrices
- plot data as grid and average response in each category (col 0)
- compare with random/no-structure model (col 1)
- compare with user-specified model (col 2)
"""
# core
import csv, os, re
# data management
import pandas as pd
# scientific ... | knielbo/survey_visualization | embedded2plot.py | embedded2plot.py | py | 6,395 | python | en | code | 1 | github-code | 1 |
35052674716 | import sqlite3
class Database:
def __init__(self, dbName):
self.dbName = dbName
self.con = sqlite3.connect('C://NFT_DATABASES/' + dbName +'.db')
def getNFT(self, id):
stmt = "SELECT * FROM NFT WHERE ID = " + str(id)
cursor = self.con.cursor()
cursor.execute(stmt)
... | Ahmad-Shehzad/NFT-Generator | NFT Image Creator/Database.py | Database.py | py | 1,735 | python | en | code | 0 | github-code | 1 |
28273046112 | RABBITMQ_HOST = 'localhost'
RABBITMQ_PORT = 5672
RABBITMQ_USER = 'guest'
RABBITMQ_PASS = 'guest'
import pika
from os import environ ###
#local RABBITMQ
hostname = environ.get('rabbit_host') or 'localhost'
port = environ.get('rabbit_port') or 5672
# connect to the broker and set up a communication cha... | peterwengg/Eevee-Trading | Backend/amqp_setup.py | amqp_setup.py | py | 4,384 | python | en | code | 0 | github-code | 1 |
20969486373 | import math
import sys
import time
from nba_api.stats.static import players
from nba_api.stats.endpoints import playergamelog
from nba_api.stats.library.parameters import SeasonAll
from nba_api.stats.endpoints import leaguegamefinder
import csv
import pandas as pd
from bs4 import BeautifulSoup
import requests
from date... | DanielMillward/NBADataScraper | 1_update_db.py | 1_update_db.py | py | 11,619 | python | en | code | 0 | github-code | 1 |
8043880352 | from db import db
def add_course(name, questions, teacher_id):
sql = """insert into courses (name, teacher_id, visible)
values (:name, :teacher_id, 1) returning id"""
course_id = db.session.execute(sql, {"name":name, "teacher_id":teacher_id}).fetchone()[0]
for i in questions.split("\n"):
... | janikakalliokoski/tsoha-opetussovellus | courses.py | courses.py | py | 4,487 | python | en | code | 0 | github-code | 1 |
27808418456 | import os
import sys
import tensorflow as tf
def __write_class_start(output_file, class_name):
if not isinstance(class_name, str):
raise AssertionError("Attribute class_name has to be of the type String")
output_file.write("import tensorflow as tf\n\n")
output_file.write("class %s(tf.keras.Model):\n" % (class_na... | karthikrangasai/Deep-Learning-Deep-Learning | models/rmg/model_class_file_generator.py | model_class_file_generator.py | py | 2,422 | python | en | code | 2 | github-code | 1 |
72259961953 | from django.db import models
from django.conf import settings
class CountCheckUtils:
@staticmethod
def seeding(index: int, single: bool = False, save: bool = True) -> models.QuerySet:
from apps.count_check.serializers import CountCheckBaseSr
if index == 0:
raise Exception('Indext m... | tbson/24ho | api/apps/count_check/utils.py | utils.py | py | 1,234 | python | en | code | 0 | github-code | 1 |
37589968716 | '''
Build a tweet sentiment analyzer
'''
from __future__ import print_function
import six.moves.cPickle as pickle
import time
from collections import OrderedDict
import sys
import time
from sys import argv
import numpy
import theano
from theano import config
import theano.tensor as tensor
from theano.sandbox.rng_mrg i... | njustkmg/ACML17_DMS | dms.py | dms.py | py | 33,100 | python | en | code | 4 | github-code | 1 |
10412589273 | from collections import Counter
import numpy as np
import pandas
import pprint
# noinspection PyUnresolvedReferences
from utils import tokenize
# nltk.download('stopwords')
# importing corpus as resume
resume_file = open('../assets/resume.txt', 'r')
resume = resume_file.read().lower()
resume_file.close()
# tokeniz... | anishLearnsToCode/bow-representation | src/one-hot-vector.py | one-hot-vector.py | py | 1,229 | python | en | code | 1 | github-code | 1 |
35533985483 | import argparse
import socket
from pretenders.server.base import in_parent_process, save_pid_file
from pretenders.server.log import get_logger
from pretenders.client import BossClient
from pretenders.common.constants import RETURN_CODE_PORT_IN_USE
LOGGER = get_logger("pretenders.server.pretender")
class Pretender(o... | pretenders/pretenders | pretenders/server/pretender.py | pretender.py | py | 2,599 | python | en | code | 108 | github-code | 1 |
26364184361 | d1 = int(input())
d2 = int(input())
m = int(input())
f = (10 * m) / (d1 + d2)
print(f'Scar conseguiu criar uma frustração {f:.2f} na turma')
if f >= 4:
print('Eu matei Mufasa')
elif f > 2:
print('Consegui lacaios preciosos')
else:
print('Mais um fracasso...') | WilliamdeSousa/lab-algoritmos | Lista 2 - Estrutura condicional/2501.py | 2501.py | py | 283 | python | pt | code | 0 | github-code | 1 |
32437564312 | import pandas as pd
from stable_baselines3.ppo import MlpPolicy
from stable_baselines3.common.callbacks import CheckpointCallback
from stable_baselines3 import PPO
from torch import nn
from tqdm import trange
from golds.contracts import Currency, Stock, Option, OptionFlavor, OptionStyle, Holdings
from golds.en... | fany02656/RL-Finance-FY | main.py | main.py | py | 5,173 | python | en | code | 0 | github-code | 1 |
23739113062 | import argparse
import pytorch_lightning as pl
import torch
from torch.nn import functional as F
import constants
from lightling_wrapper import BaseTorchLightlingWrapper, SpeechCommandDataModule
from models.bc_resnet.bc_resnet_model import BcResNetModel
from models.bc_resnet.mel_spec_dataset import MelSpecDataSet, me... | egochao/speech_commands_distillation_torch_lightling | test.py | test.py | py | 1,768 | python | en | code | 0 | github-code | 1 |
70431605475 | import numpy as np
import matplotlib.pyplot as plt
class Kmeans(object):
def __init__(self, k=1):
self.k = k
def train(self, data, verbose=1):
shape = data.shape
ranges = np.zeros((shape[1], 2))
centroids = np.zeros((shape[1], 2))
for dim in range(shape[1]):
... | divyanshugit/representation_learning | models/classificaton/kMeans.py | kMeans.py | py | 2,669 | python | en | code | 2 | github-code | 1 |
73034211233 | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Jayesh Kariya <jayeshk@saltstack.com>`
'''
# Import Python libs
from __future__ import absolute_import
# Import Salt Testing Libs
from salttesting import skipIf, TestCase
from salttesting.mock import (
NO_MOCK,
NO_MOCK_REASON,
MagicMock,
patch
)
fro... | shineforever/ops | salt/tests/unit/states/rabbitmq_plugin_test.py | rabbitmq_plugin_test.py | py | 2,591 | python | en | code | 9 | github-code | 1 |
40250930163 | import sys
import heapq
class PriorityQueue:
"""
Implements a priority queue data structure.
"""
def __init__(self):
self.heap = []
self.count = 0
self.items = []
def push(self, item, priority):
entry = (priority, self.count, item)
heapq.heappush(self.hea... | nummy/exec | todo/graph/question2d/a1.py | a1.py | py | 3,583 | python | en | code | 0 | github-code | 1 |
27733324416 | import logging
from django.contrib.auth.models import User
from django.db import models
from django.db.models.signals import post_save, post_delete
from django.dispatch import receiver
from timeline.models import Timeline
# Models
class SubscribeRecord(models.Model):
is_read = models.BooleanField(
defau... | Sergey19940808/blog | blog/models.py | models.py | py | 3,771 | python | en | code | 0 | github-code | 1 |
24249664220 | import os
from PySide6 import QtWidgets
from PySide6.QtGui import QFont, QIcon
from PySide6.QtWidgets import (
QCheckBox,
QComboBox,
QFileDialog,
QFrame,
QLabel,
QLineEdit,
QPushButton,
QRadioButton,
QSizePolicy,
QSpacerItem,
QTabWidget,
QTextEdit,
QWidget,
)
from n... | Natsume-197/NadeOCR | nadeocr/GUI/widgets/options_widget.py | options_widget.py | py | 10,175 | python | en | code | 2 | github-code | 1 |
907482435 | class Solution:
# @param A : string
# @return an integer
def solve(self, A):
count=0
vowels = ["a","e","i","o","u"]
for i in range(len(A)):
if A[i].lower() in vowels:
count=count+len(A)-i
return (count%10003)
| rohinarora/InterviewBit | 5. Strings/4. Amazing Subarrays/tmp.py | tmp.py | py | 281 | python | en | code | 0 | github-code | 1 |
32596992467 | import heapq
from collections import defaultdict
class HuffmanNode:
def __init__(self, symbol, freq):
self.symbol = symbol
self.freq = freq
self.left = None
self.right = None
def __lt__(self, other):
return self.freq < other.freq
def build_huffman_tree(f... | s25672-pj/asdZad4 | zad4.py | zad4.py | py | 1,980 | python | en | code | 0 | github-code | 1 |
17605302358 | temperaturas = []
continuar = True
while continuar == True:
temperatura = int(input("Temperatura que deseja informar: "))
temperaturas.append(temperatura)
if input("Deseja continuar (s/n)? ") == 's':
continuar = True
else:
continuar = False
valor_limiar = int(input("Digite um valor limiar(média): "))... | PerseuSam/FATEC-MECATRONICA-0791811039-SAMUEL | LTPC2-2020-2/Prova/exerci3.py | exerci3.py | py | 938 | python | pt | code | 0 | github-code | 1 |
25253445700 | from test_cases import PseudocodeConverter
filename = input("What is the name of the file? ")
line_series = [line.rstrip('\n') for line in open(filename + '.py')]
converter = PseudocodeConverter(line_series)
converted_lines = converter.get_converted_lines()
with open(filename + " pseudocode.txt", 'w') as f:
for... | melodicht/PythonToPseudoCode | __init__.py | __init__.py | py | 467 | python | en | code | 0 | github-code | 1 |
73654169633 | import os
from qgis.PyQt import QtWidgets, uic
from qgis.PyQt.QtCore import pyqtSignal
from qgis.PyQt.QtGui import QIcon
from qgis.PyQt.QtWidgets import QApplication
from qgis.utils import iface
from qgis.core import (
QgsProject,
QgsPointXY,
QgsCoordinateReferenceSystem,
QgsCoordinateTransform,
)
fro... | danylaksono/GeoKKP-GIS | modules/draw_nlp.py | draw_nlp.py | py | 8,095 | python | en | code | 2 | github-code | 1 |
13255279223 | #! python 3
"""
Program that reads in text files and lets users replace some keywords. Lastly, save as new file
"""
from pathlib import Path
import re
### read in text file
file_name = input("Enter relative path of file (eg. folder/file.txt): ")
p = Path(Path.cwd() / file_name)
input_file = open(p)
txt = input_file.r... | simink/py_automatetheboringstuff | code/madLibs.py | madLibs.py | py | 893 | python | en | code | 1 | github-code | 1 |
31276842685 | """
Fix binary png images so that they're in a consistent binary format
Used for ground truth (_fg) images which can be saved by some image programs as 8 bit RGB pngs
rather than binary ones.
"""
import cv2
import os
import io
for img in os.listdir("/home/carter/Desktop/our-data/training/imgs"):
if "_fg" in img:
... | cpsiff/plant-segmentation | fix_imgs.py | fix_imgs.py | py | 795 | python | en | code | 3 | github-code | 1 |
71727466274 | input = open("input").read().splitlines()
register = 1
cycle = 0
total = 0
sprite = "###....................................."
for instruction in input:
op = instruction.split()
if op[0] == "noop":
cycles = 1
elif op[0] == "addx":
cycles = 2
for i in range(cycles):
cycle += 1... | CasEbb/Advent-of-Code-2022 | 10/10.py | 10.py | py | 795 | python | en | code | 0 | github-code | 1 |
43439917172 | import tests_suite
import unittest
from cpu import CPU
from ram import RAM
from rom import ROM
class tests_ld_rr_nn(unittest.TestCase):
def test_ld_BC_nn_correctly_stores_value_to_BC(self):
cpu = CPU(ROM(b'\x01\xba\xab'))
cpu.readOp()
self.assertEqual(0xabba, cpu.BC)
def test_ld_DE_... | pawlos/Timex.Emu | tests/tests_ld_rr_nn.py | tests_ld_rr_nn.py | py | 2,253 | python | en | code | 5 | github-code | 1 |
70007433955 | from __future__ import print_function
import wave
import numpy as np
from struct import unpack
class WaveWrap(object):
def __init__(self, filename, output_window_size, window_overlap, unpack_fmt="<{}h"):
self.wav_buffer_size = output_window_size - window_overlap
self.wave_file = wave.open(filename... | lelloman/python-utils | sfft_from_wav.py | sfft_from_wav.py | py | 1,927 | python | en | code | 0 | github-code | 1 |
13839587396 | #################################################################################
# Description: Class for generating augmented data for training of
# neural network and SVM
#
# Authors: Petr Buchal <petr.buchal@lachub.cz>
# Martin Ivanco <ivancom.fr@gmail.... | LachubCz/ItAintMuchButItsHonestWork | src/batch.py | batch.py | py | 6,122 | python | en | code | 0 | github-code | 1 |
11350861272 | # -*- coding: utf-8 -*-
"""Home dashboard layout."""
import locale
from apps import utils_dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from portfolio.fii import FiiPortfolio
from portfolio.funds i... | thobiast/myinvestments | apps/home_dash.py | home_dash.py | py | 3,748 | python | en | code | 3 | github-code | 1 |
12556113252 | # かぼちゃライブラリを読み込む
import CaboCha
cabocha = CaboCha.Parser('-n1')
def parse_sentence(sentence_str, sentence_begin):
# カボチャ関数の呼び出し、係り受け木を取得
tree = cabocha.parse(sentence_str)
offset = sentence_begin
text = sentence_str
for i in range(tree.chunk_size()):
# chunk「文節に相当する塊」の事、chanking単語を一番小さい物... | takuyaamamo/NaturalLanguageProcessing | src/cabochatest.py | cabochatest.py | py | 2,034 | python | ja | code | 0 | github-code | 1 |
40257633553 | '''Find minimum number of merge operations to make an array palindrome
Link for this problem is given below:
https://www.geeksforgeeks.org/find-minimum-number-of-merge-operations-to-make-an-array-palindrome/
'''
def mergeOperations(arr):
n = len(arr)
for i in range(n):
if arr[i] != arr[n-(i+1)]:
... | barvaliyavishal/DataStructure | GeeksForGeeks/minimum number of merge operations.py | minimum number of merge operations.py | py | 389 | python | en | code | 2 | github-code | 1 |
42291469922 | import os
from torchvision.transforms import CenterCrop
from PIL import Image
completed_processing = set()
source_dir = "C:/Users/jessi/Documents/Master_Courses/MIE1517_IDL/Project/dataset/dataset/"
output_dir = "C:/Users/jessi/Documents/Master_Courses/MIE1517_IDL/Project/dataset/processed_dataset/"
i = 0
nb_exclude... | ChessieN132D/Self-Supervised-Image-Inpainting | Image Preprocessing/image_center_crop_128.py | image_center_crop_128.py | py | 945 | python | en | code | 0 | github-code | 1 |
38712381876 | # Imports
import bs4
import requests
from bs4 import BeautifulSoup
# URL Base
url_base = 'https://www.who.int'
def scrapingCovid():
# URL com os dados do COVID-19 (coloque essa URL no seu navegador e compreenda os dados disponíveis)
url = 'https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situati... | AleTavares/scrapingCovid19 | scraping.py | scraping.py | py | 2,144 | python | pt | code | 0 | github-code | 1 |
33881354393 | import numpy
from matplotlib import pyplot
from utils import timeit
@timeit
def get_data():
data = []
with open('input.txt') as input_file:
for line in input_file:
points = tuple((int(x), int(y)) for x, y in (point.split(',') for point in line.strip().split(' -> ')))
data.appen... | bdaene/advent-of-code | 2022/day14/solve.py | solve.py | py | 2,337 | python | en | code | 1 | github-code | 1 |
21563726124 | import json
from tags.tests.base_test import TagsBaseTestCase
class TagNamespaceTestCase(TagsBaseTestCase):
fixtures = ["test_authentication.yaml", "test_marketplace.yaml"]
def test_create_scoped_namespace(self):
##############################
# Creation of global namespace
self.log... | Mines-Paristech-Students/Portail-des-eleves | backend/tags/tests/test_namespaces.py | test_namespaces.py | py | 5,854 | python | en | code | 23 | github-code | 1 |
70738755233 | import re
import keyword
import os
from collections import Counter
def add_keywords(python_kw, cpp_kw, java_kw):
# keyword.kwlist is a list with python language keywords
python_kw.extend(keyword.kwlist)
# list of cpp keywords: http://www.cplusplus.com/doc/oldtutorial/variables/
cpp_kw.extend... | aaronojeda/language-detector | LangDetector.py | LangDetector.py | py | 4,294 | python | en | code | 0 | github-code | 1 |
21193775708 | class Solution:
def numMagicSquaresInside(self, grid: List[List[int]]) -> int:
# 空矩阵，退出
if not grid or not grid[0]:
return 0
rows, columns = len(grid), len(grid[0])
# 维度小于3， 退出
if rows < 3 or columns < 3:
return 0
count = 0
# 以左上点出发，全... | excaliburnan/SolutionsOnLeetcodeForZZW | 840_MagicSquaresInGrid/numMagicSquaresInside.py | numMagicSquaresInside.py | py | 1,633 | python | zh | code | 0 | github-code | 1 |
35097748353 | # 1 - Напишите программу, которая принимает на вход вещественное число и показывает сумму его цифр. Учтите, что числа могут быть отрицательными
# Пример:
# 67.82 -> 23
# (-0.56) -> 11
num = input('Введите вещественное число: ')
num = num.replace('-', '')
x = num.split(".")
int_num = int(x[0])
fract_num = int(x[1]... | YMikitas/python | sem/HW2/task13_sum.py | task13_sum.py | py | 678 | python | ru | code | 0 | github-code | 1 |
45290308912 | # -*- coding: utf-8 -*-
import abc
import importlib
from django.core.exceptions import ImproperlyConfigured
from django.conf import settings
class BaseEventsPushBackend(object, metaclass=abc.ABCMeta):
@abc.abstractmethod
def emit_event(self, message:str, *, routing_key:str, channel:str="events"):
pa... | phamhongnhung2501/Taiga.Tina | fwork-backend/tina/events/backends/base.py | base.py | py | 1,213 | python | en | code | 0 | github-code | 1 |
5047930515 | from flask import Flask
from flask import render_template, url_for, jsonify, request
from game import Game
app = Flask(__name__)
@app.route('/')
def main():
return render_template('index.html')
game=0
@app.route('/init', methods=['POST'])
def init():
global game
game = Game()
game.start()
# I ha... | Samcfuchs/DataSci | 2048/server.py | server.py | py | 807 | python | en | code | 0 | github-code | 1 |
34490854766 | import json
filename = r'/home/xxm/下载/qlora/data/estate_qa.json'
with open(filename, 'r', encoding='utf-8') as f:
lines = f.readlines()
for line in lines:
line = line.strip()
example = json.loads(line)
content = example['output']
if content == '':
print(example)
| xxm1668/qlora_chatglm | data_processon.py | data_processon.py | py | 320 | python | en | code | 4 | github-code | 1 |
2299113487 | import os
import json
def get_ground_truth(filename):
#0022000159342.jpg
#0022000159342_1.jpg
if filename.find("_")!=-1:
return filename[0:filename.find("_")]
else:
return filename[0:filename.find(".")]
f = open("single_test.txt","r")
for line in f.readlines():
d... | xulihang/Barcode-Reading-Performance-Test | utils/create_ground_truth_for_barcode_bb.py | create_ground_truth_for_barcode_bb.py | py | 891 | python | en | code | 11 | github-code | 1 |
36260433523 | import streamlit as st
import pandas as pd
import pickle
from random import randint
books = pd.read_csv('df_2.csv')
df_1 = pickle.load(open('df_1.pkl', 'rb'))
def recommendation(title):
recommendations = pd.DataFrame(df_1.nlargest(11, title)['title'])
recommendations = recommendations[recommendations['title'... | Hainguyendangduc/BookRecommendation | app.py | app.py | py | 1,748 | python | en | code | 0 | github-code | 1 |
32156179471 | """
Python module to parse FastQC output data.
"""
from __future__ import print_function
class Fadapa(object):
"""
Returns a parsed data object for given fastqc data file
"""
def __init__(self, file_name, **kwargs):
"""
:arg file_name: Name of fastqc_data text file.
:type fil... | ChillarAnand/fadapa | fadapa/fadapa.py | fadapa.py | py | 2,217 | python | en | code | 16 | github-code | 1 |
75183965793 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 1 03:00:44 2023
@author: allen
"""
import math
def sc(a, b):
r = 0
for i in range(math.ceil(a ** 0.5), (int(b ** 0.5) + 1)):
r += i ** 2
return (r)
x = int(input())
s = 1
for i in range(x):
a = int(input())
b = int(input())
print(f"Case... | zhanallen/zero-judge | zero/a059.py | a059.py | py | 349 | python | en | code | 0 | github-code | 1 |
35251753542 | '''PROGRAM DESCRIPITON:
HMTL form for registration is created and after filling the data, the student details like name,email, course are stored in the MongoDB "Registration" database.
'''
# PROGRAMMED BY: PULI SNEHITH REDDY
# MAIL ID : snehithreddyp@gmail.com
# DATE : 23-09-2021
# VERSION : 3.7.9
# ... | SnehithReddy09/Python | Class Assignments/Storing deatils of HTML form in Mongodb/app.py | app.py | py | 2,383 | python | en | code | 0 | github-code | 1 |
31623979015 | import socket
import json
import sys # for exit
# Create a UDP socket at client side
UDPClientSocket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Initialize variables
udp_port = 1234
local_host = socket.gethostname()
serverAddressPort = (local_host, udp_port)
IPAddr = socket.gethostbyname(local_host)
buffer_... | pmdung2011/Simple_Text_SocketProgramming | client.py | client.py | py | 2,409 | python | en | code | 0 | github-code | 1 |
29505854194 | '''
Prepare a word sequence (sentence) with padding
- convert a sentence String to list of words in sentence
- convert list of words in sentence to array of word_embedding and padded
'''
import numpy as np
from keras.preprocessing import sequence
from textblob import Sentence
from src.static_variable import loa... | jamemamjame/JameChat | coding_model/preprocess/word_seq_perp.py | word_seq_perp.py | py | 3,013 | python | en | code | 0 | github-code | 1 |
36031611270 | class CSP:
'''
Class to solve a problem using CSP approach.
Contains all the functions relevant to the CSP.
'''
def __init__(self, graph):
self.graph = graph
def degree_heuristic(self, vertices):
'''
orders the vertices of the graph based on the degree
and retu... | sasivs/AI-Lab | graph_color.py | graph_color.py | py | 8,056 | python | en | code | 0 | github-code | 1 |
38806583081 | import pygame
import math
# Define some colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
GREEN = (0, 255, 0)
BLUE = (0, 0, 250)
RED = (255, 0, 0)
pygame.init()
# Set the width and height of the screen [width, height]
size = (800, 700)
screen = pygame.display.set_mode(size)
pygame.display.set_caption("My Game")
# Loop... | omarjcm/p59-programacion_hipermedial | code/rv/caracteristicas/01_taller.py | 01_taller.py | py | 2,876 | python | en | code | 1 | github-code | 1 |
33283932467 | import datetime
from django.shortcuts import render
from django.db.models import Subquery, Count
from django.http import HttpResponseRedirect
from django.views.decorators.cache import cache_page
from port.models import Port
from stats.models import Submission, PortInstallation
from port.filters import PortFilterByMul... | macports/macports-webapp | app/views.py | views.py | py | 1,811 | python | en | code | 49 | github-code | 1 |
13563725205 | """
the Bot makes everyday posts with some picture+Belarusial legal word and its definition
"""
#!/usr/bin/python3
import telegram
import time
TOKEN = 'your_token_here'
bot = telegram.Bot(token=TOKEN)
chat_id='your_chat_id_here'
f = open('dictionary.txt', 'r', encoding='UTF-8')
words = f.read().split('\n')
f.close()... | HauryDow/bel_legal_lang_bot | Bel_legal_language_bot.py | Bel_legal_language_bot.py | py | 760 | python | en | code | 0 | github-code | 1 |
8246364725 | import matplotlib.pyplot as plt
from matplotlib import ticker
# taken from https://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html#sphx-glr-auto-examples-manifold-plot-compare-methods-py
def plot_3d(points, points_color, title):
x, y, z = points.T
fig, ax = plt.subplots(
fig... | MoritzM00/Bachelor-Thesis | python/plot_utils.py | plot_utils.py | py | 1,064 | python | en | code | 0 | github-code | 1 |
9441754915 | import numpy as np
import tensorflow as tf
def draw_batch(batch_size):
xs = np.random.choice([0.0, 1.0], [batch_size, 2])
ys = np.array(list(map(lambda x: [x[0] != x[1]], xs)))
return (xs, ys)
# first layer - weights + bias
W1 = tf.Variable(tf.random_uniform([2, 2], -1, 1), name="W1")
b1 = tf.Variable(t... | foss-ag/workshop_tensorflow | src/solutions/xor.py | xor.py | py | 1,071 | python | en | code | 1 | github-code | 1 |
9389708795 |
def handle(client,topic,payload,mem):
topic_s = topic.split('/')
if topic_s[2] == 'task1' and topic_s[3] == 'requests':
return
if topic_s[2] == 'task1' and topic_s[3] == 'responses':
#print(mem)
# identify operation
id = int(payload[0:4])
output = str(mem[id]) + ":::" + ... | zhouy1017/MQTT-Demo | handler.py | handler.py | py | 408 | python | en | code | 0 | github-code | 1 |
12429451740 |
import sys
if sys.version_info[0] >= 3:
unicode = str
def get_str(s):
"""
:param str|unicode|bytes s:
:rtype: str|unicode
"""
if isinstance(s, (str, unicode)):
return s
if isinstance(s, bytes):
return s.decode("utf8")
raise Exception("Type not supported: %r" % s)
| jotix16/tools | i6lib/str_.py | str_.py | py | 316 | python | en | code | 0 | github-code | 1 |
45140457164 | from telebot import types
from datetime import date, timedelta
from ...utils import constants
def get_days(room_name: str) -> types.InlineKeyboardMarkup:
now = date.today()
markup = types.InlineKeyboardMarkup()
for day in range(7):
""" add in InlineKeyboard """
w_day = now + timedelta(days... | BernarBerdikul/mybooking | mybooking/core/bot_services/get_days.py | get_days.py | py | 1,086 | python | en | code | 1 | github-code | 1 |
40898453515 | # 백준 6단계 문자열
# 10809번 알파벳 찾기
import sys
sys.stdin = open('input.txt')
input = sys.stdin.readline
# 여기부터 제출해야 한다.
input_word = input()
list_result = [-1 for i in range(26)]
# print(list_result)
# ord(i)-97로 input world의 문자들이 알파벳의 몇 번째 숫자인지 구한다.
for i in input_word:
# input_word.find(i)로 처음 나온 알파벳의 위치를 입력해준다.... | boogleboogle/baekjoon | step/6/3_10809.py | 3_10809.py | py | 533 | python | ko | code | 0 | github-code | 1 |
6304937748 | import cv2
import math
import numpy as np
import pyautogui as gui
cap = cv2.VideoCapture(1)
while(cap.isOpened()):
ret, img = cap.read()
#cv2.resizeWindow('window1', 768,1366)
cv2.rectangle(img, (0,0), (200,200), (0,255,0),0) ##left hand rectangle
cv2.rectangle(img,(630,200),(430,0),(0,255,0),0) ##rig... | DB11051998/RGBGesture-control | gest.py | gest.py | py | 6,146 | python | en | code | 0 | github-code | 1 |
12143832924 | import config
import classes.player
import classes.club
def create_players():
'''
ABOUT:
Creates the players for the game.
gametype tells us whether it's a single game or a league so that we can generate the right number of players.
names set to None will allow us to randomly generate them.
... | chimel3/stormbowl | createplayers.py | createplayers.py | py | 3,440 | python | en | code | 0 | github-code | 1 |
73034200353 | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Rahul Handay <rahulha@saltstack.com>`
'''
# Import Python Libs
from __future__ import absolute_import
# Import Salt Testing Libs
from salttesting import TestCase, skipIf
from salttesting.helpers import ensure_in_syspath
from salttesting.mock import (
MagicMock,... | shineforever/ops | salt/tests/unit/states/mdadm_test.py | mdadm_test.py | py | 3,815 | python | en | code | 9 | github-code | 1 |
21026304473 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 12 14:13:33 2017
预处理获取小波系数、重构系数、模极大值
对预处理后的序列进行特征提取，包括能量、归一化能量、能量熵、能量矩、排列熵、近似熵、样本熵、最大Lyapunov指数、灰度矩
分形维数、奇异熵
@author: baishuhua
"""
import pywt
import numpy as np
from scipy import stats
import sys
sys.path.append('E:\\大数据\\基础研究\\HilbertHuang变换')
import HilbertHuang
impor... | baishuhuaGitHub/Transformer-Simulink | DwtFeatureExtraction.py | DwtFeatureExtraction.py | py | 14,858 | python | en | code | 3 | github-code | 1 |
11351681816 | import os
Import('CfgmEnv')
env = CfgmEnv.Clone()
setup_sources = [
'setup.py',
'requirements.txt',
'MANIFEST.in',
]
setup_sources_rules = []
for file in setup_sources:
setup_sources_rules.append(env.Install(Dir('.'), File(file).srcnode()))
local_sources = [
... | Juniper/contrail-dev-controller | src/config/common/SConscript | SConscript | 4,415 | python | en | code | 3 | github-code | 1 | |
28993145664 | #!/usr/bin/env python3
from argparse import ArgumentParser
from collections import namedtuple
import hashlib
import json
import os
import shutil
LayerInfo = namedtuple('LayerInfo', ['path', 'metadata', 'contenthash'])
def hash(data):
m = hashlib.sha256()
m.update(bytes(data, 'utf-8'))
return m.hexdigest... | iknow/nix-utils | oci/build-image-manifest.py | build-image-manifest.py | py | 3,280 | python | en | code | 0 | github-code | 1 |
11424782465 | arr = [-2, -3, 4, -1, -2, -1, 5, -3, 8]
first_index = 0
end_index = 0
s = 0
best = 0
for i in range(1, len(arr)):
s = s + arr[i]
if(s > 0):
best = best + s
end_index = i
if(arr[i] >= best):
best = arr[i]
s = 0
first_index = i
end_index = 0
print(first_inde... | mshadloo/Algorithm | max-subarray.py | max-subarray.py | py | 352 | python | en | code | 0 | github-code | 1 |
4422201464 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for :mod:`orion.algo.evolution_es`."""
import copy
import hashlib
import numpy as np
import pytest
from orion.algo.evolution_es import BracketEVES, EvolutionES, compute_budgets
from orion.algo.space import Fidelity, Real, Space
@pytest.fixture
def space():
... | lebrice/orion | tests/unittests/algo/test_evolution_es.py | test_evolution_es.py | py | 11,353 | python | en | code | null | github-code | 1 |
30294078087 | import retrogamelib as rgl
import pygame, random, sys, os
from retrogamelib.constants import *
from objects import spritesheet, flip_images
class Intro(object):
def __init__(self):
load_image = rgl.util.load_image
self.oldman1 = spritesheet("data/lawn-mower.png", (96, 96))
self.bubbma... | randyheydon/BubbMan2-PND | lib/intro.py | intro.py | py | 3,742 | python | en | code | 4 | github-code | 1 |
16874544930 | #!/usr/bin/env python3
import argparse
import sys
from KaSaAn.functions import prefixed_snapshot_analyzer
def main(args=None):
if args is None:
args = sys.argv[1:]
parser = argparse.ArgumentParser(
description='Get cumulative and mean distribution of complex sizes, plus distribution of numbe... | yarden/KaSaAn | KaSaAn/scripts/prefixed_snapshot_analyzer.py | prefixed_snapshot_analyzer.py | py | 1,606 | python | en | code | null | github-code | 1 |
26355673371 | import importlib
from pathlib import Path, PurePath
import glob
import os
import logging
import numpy as np
from pydub import AudioSegment
import pandas as pd
import cv2
# TODO: General solution
# TODO: Can string_filtering be called by generate_filenames?
# TODO: output only benign file?
# TODO: think about input ... | wdwlinda/Snoring_Detection_full | dataset/dataset_utils.py | dataset_utils.py | py | 23,868 | python | en | code | 0 | github-code | 1 |
10304558871 | import CompanyClasses
if __name__ == "__main__":
# Mitarbeiter erzeugen
m1 = CompanyClasses.Mitarbeiter("Nimit", "Singh", 21, "Verkaufsleiter", 1900)
m2 = CompanyClasses.Mitarbeiter("Phillip", "Schueler", 18, "Programmierer", 2000)
# Gruppenleiter erzeugen
g1 = CompanyClasses.Gruppenleit... | nimitsingh7/nimitsingh7-SWP-SP-02-21 | Company.py | Company.py | py | 1,412 | python | de | code | 0 | github-code | 1 |
4154952558 | #
#
# UtmTrav : calculation of an open and cloded traverse
# projected on planeor UTM projected grid.
#
#
from pygeodesy.dms import toDMS, parseDMS
from pygeodesy import Utm,parseUTM5,Ellipsoids
import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt
import numpy as np
import yaml,sys
from... | phisan-chula/Construction_Survey | UtmTraverse/UtmTrav.py | UtmTrav.py | py | 13,935 | python | en | code | 3 | github-code | 1 |
39206311612 | #!/bin/python3
__author__ = "Adam Karl"
"""Find the sum of all numbers below N which divide the sum of the factorial of their digits"""
#https://projecteuler.net/problem=34
digitFactorials = []
def sumCuriousNumbersUnderN(n):
"""Return a sum of all numbers that evenly divide the sum of the factorial of their dig... | adamkkarl/ProjectEuler | 34/euler34.py | euler34.py | py | 1,135 | python | en | code | 0 | github-code | 1 |
1528409753 | import copy
import os
import numpy as np
from metadrive.manager.base_manager import BaseManager
from metadrive.scenario.scenario_description import ScenarioDescription as SD, MetaDriveType
from metadrive.scenario.utils import read_scenario_data, read_dataset_summary
class ScenarioDataManager(BaseManager):
DEFAU... | metadriverse/metadrive | metadrive/manager/scenario_data_manager.py | scenario_data_manager.py | py | 8,264 | python | en | code | 471 | github-code | 1 |
704796313 | # --------------
#Importing header files
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#Reading the file
data=pd.read_csv(path)
#Code starts here
# Step 1
#Reading the file
#Creating a new variable to store the value counts
loan_status=data["Loan_Status"].value_counts()
#Plotting bar pl... | raghulsenthilkumar/greyatom-python-for-data-science | visulization/code.py | code.py | py | 2,181 | python | en | code | 1 | github-code | 1 |
34568931935 | import random
import sys
sys.tracebacklimit = -1
errors = (AttributeError, ValueError)
#let's make it a class so it's easier to modify
class TicTacToe():
def __init__ (self, gameboard = None):
self.gameboard = gameboard
self.gameboard = []
self.player = None
#let's build the Gameboard
def build... | jenellyparra/TicTacToe | tictactoe.py | tictactoe.py | py | 2,239 | python | en | code | 0 | github-code | 1 |
44962919854 | from tkinter import *
from tkinter import messagebox
from PIL import ImageTk, Image
import pygame
import time
import threading
import serial
pygame.mixer.init()
arduinoData = serial.Serial('COM3', 9600)
test = False
musica = False
'''
Esta función se encarga de crear la ventana principal, donde se muestra la consola d... | josuect0212/Proyecto-3-Robot-con-Control-CE-1102 | ProyectoIII.py | ProyectoIII.py | py | 8,931 | python | es | code | 0 | github-code | 1 |
32330400016 | import os
import requests
import time
import pyfiglet
req = requests.get('https://google.com')
os.system('clear')
print ("Fuck Dunia Percintaan")
time.sleep(1)
os.system('clear')
print ("\33[36;1m")
text = pyfiglet.figlet_format("SantriXploiter")
print (text)
print
print ("[1] Tentang SantriXploiter")
pri... | santrixploiter/santri | sx.py | sx.py | py | 1,344 | python | en | code | 0 | github-code | 1 |
21753112789 | # import the required modules and types for this example...
from typing import Any, Dict, List
# import the paginator and modal...
from discord.ext.modal_paginator import ModalPaginator, PaginatorModal
# import the discord.py module
import discord
from discord.ext import commands
bot = commands.Bot(command_prefix=c... | Soheab/modal-paginator | examples/verify_command.py | verify_command.py | py | 5,303 | python | en | code | 2 | github-code | 1 |
11710691906 |
"""
1. Imports and definitions
"""
# i) imports
import matplotlib.pyplot as plt
import torch
import pyro
import pyro.distributions as dist
from pyro.infer import SVI, Trace_ELBO
from pyro.optim import Adam
import seaborn as sns
"""
2. Data & stochastic model
"""
# i) Generate data
true_mean = torch.te... | atlasoptimization/stochastic_modelling | pyro_experiments/pyro_tests_posterior_v_model.py | pyro_tests_posterior_v_model.py | py | 3,463 | python | en | code | 0 | github-code | 1 |
20522292534 | import os
import shutil
declare_namespace_template = """
import pkg_resources
pkg_resources.declare_namespace(__name__)
"""
pkgutil_extend_path_template = """
from pkgutil import extend_path
__path__ = extend_path(__path__, __name__)
"""
module_template = """
print ('this is module %s' % __name__)
"""
setup_templat... | pyinstaller/pyinstaller | tests/scripts/eggs4testing/build-nspkg-tests.py | build-nspkg-tests.py | py | 3,601 | python | en | code | 10,769 | github-code | 1 |
7990357254 | import logging
import os
from pprint import pprint
from gensim import corpora, models, similarities
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
if (os.path.exists("tmp/mesh.dict")):
dictionary = corpora.Dictionary.load('tmp/mesh.dict')
corpus = corpora.MmCorpus('tm... | meetsha/gensim | test_models.py | test_models.py | py | 918 | python | en | code | 0 | github-code | 1 |
7419751756 | import core.constants as const
from core.aiml_sample import aiml_processing
def processing(data: str, kernel, input_memory, is_empty: bool, ans: str='') -> dict:
if not is_empty:
id_current, is_user_msg, answer = data.split(sep=';', maxsplit=2)
id_current = int(id_current)
is_user_msg = in... | VasenkovArtem/chatbot_second_team | backend/core/processing.py | processing.py | py | 1,118 | python | en | code | 0 | github-code | 1 |
26923650558 | from flask import request, jsonify, Blueprint
from flask_jwt_extended import jwt_required, current_user
from models.Containers_model import Container
from models.Image_model import Image
from models.db import db
from controller import Containers_controller as containerctl
from utils import check_authorization
containe... | abhirambsn/stuniq-web-desktop | backend/routes/Container_routes.py | Container_routes.py | py | 7,313 | python | en | code | 0 | github-code | 1 |
73276503395 | """
Microdeploy Configuration manager.
"""
import yaml
import glob
import re
import os
class Config(object):
# config = None
def __init__(self, config_filename=None, default_baudrate=115200, override={}):
if config_filename:
try:
with open(config_filename) as config_fil... | damiencorpataux/microdeploy | microdeploy/config.py | config.py | py | 5,313 | python | en | code | 1 | github-code | 1 |
15066006918 | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(name='immudb-py',
version='1.4.0',
license="Apache License Version 2.0",
description='Python SDK for Immudb',
long_description=long_description,
long_description_content_type="text/mark... | codenotary/immudb-py | setup.py | setup.py | py | 1,404 | python | en | code | 40 | github-code | 1 |
40033104803 | # -*-coding: utf-8 -*-
# Python 3.6
# Author:Zhang Haitao
# Email:13163385579@163.com
# TIME:2018-08-15 16:04
# NAME:zht-wind_api.py
import datetime
import multiprocessing
import pickle
from WindPy import w
from utils.dateu import get_today
import numpy as np
DIR=r'e:\tmp_wind'
w.start()
import pandas as pd
impor... | luilui163/zht | data/wind/wind_api.py | wind_api.py | py | 4,251 | python | en | code | 0 | github-code | 1 |
37658889204 | #!./icao-venv/bin/python3
# needs: opencv2-python
# opencv2-contrib-python
# dlib
import os
from pathlib import Path
import sys
import cv2
import dlib
import numpy as np
import json
show_rectangle = False
# set here, where to look for pretrained models:
datadir = Path("data")
# following fi... | Anaeijon/icao_check | geometry_check/geometry_check.py | geometry_check.py | py | 8,700 | python | en | code | 0 | github-code | 1 |
26575618453 | from odoo import models, fields, api
class AccountInvoice(models.Model):
_inherit = "account.invoice"
channel_id = fields.Many2one(
"purchase.order.channel", string="Channel", ondelete="restrict"
)
@api.onchange("origin")
def onchange_origin(self):
order = self.env["purchase.or... | calyx-servicios/custom-sustentar | purchase_order_channel/models/account_invoice.py | account_invoice.py | py | 403 | python | en | code | 0 | github-code | 1 |
33842505413 | #!/usr/bin/env python
import unittest
import os
import shutil
import multiprocessing
import glob
from matador.scrapers.castep_scrapers import res2dict
ROOT_DIR = os.getcwd()
REAL_PATH = "/".join(os.path.realpath(__file__).split("/")[:-1]) + "/"
TEST_DIR = REAL_PATH + "/tmp_test"
NUM_CORES = multiprocessing.cpu_count(... | ml-evs/ilustrado | ilustrado/tests/test_init.py | test_init.py | py | 3,373 | python | en | code | 2 | github-code | 1 |
37571536835 | from rest_framework import serializers
from .models import RedditPost, RedditPostSnapshot
class RedditPostSerializer(serializers.HyperlinkedModelSerializer):
# snapshots = serializers.HyperlinkedRelatedField(
# many=True,
# read_only=True,
# view_name='reddit_post_snapshots'
# )
c... | SDupZ/memex | reddit/serializers.py | serializers.py | py | 811 | python | en | code | 2 | github-code | 1 |
31904422454 | # dash_callbacks.py
from dash.dependencies import Input, Output
from dashboard.dash_app import app
from dashboard.dash_aux import get_pending_html_table
from session.sc_helpers import QuitMode
from dashboard.sc_df_manager import DataframeManager
from binance import enums as k_binance
from datetime import datetime, tim... | xavibenavent/scorpius | src/dashboard/dash_callbacks.py | dash_callbacks.py | py | 20,621 | python | en | code | 0 | github-code | 1 |
34469305090 | k, n = map(int, input().split())
arr = []
# cnt번째 자리 숫자 결정
def select(a):
# 종료조건
# 횟수n 넘으면
if a == n+1:
print(*arr)
return
# 재귀호출
# 1부터 시작해서 사전순으로 정렬됨
for i in range(1, k+1):
# i를 위한 연산
arr.append(i)
select(a+1)
# i에 대한 역 연산
arr.pop()
se... | yeafla530/algorithms | 코드트리/IL/백트래킹/k개중에1개를n번뽑기.py | k개중에1개를n번뽑기.py | py | 660 | python | ko | code | 0 | github-code | 1 |
38105929547 | #!/usr/bin/python
# -*- coding:utf-8
__author__ = 'lvfei'
# id int(8) not null primary key auto_increment,
# rec_algorithm_test_id int(8) not null,
# package_name char(100) not null,
# package_title char(255) not null,
# package_icon Text not null,
# package_info Text not null,
# partin_num TINYINT not... | kkfnui/ToolKit | src/sql2Java/sql2Java.py | sql2Java.py | py | 9,052 | python | en | code | 0 | github-code | 1 |
17847754743 |
from __future__ import nested_scopes
from twisted.internet import defer
import sys
class _DeferredCache:
""" Wraps a call that returns a deferred in a cache. Any subsequent
calls with the same argument will wait for the first call to
finish and return the same result (or errback).
"""
ha... | rcarmo/divmod.org | Sine/xshtoom/defcache.py | defcache.py | py | 3,176 | python | en | code | 10 | github-code | 1 |
22992656893 | # -*- coding: utf-8 -*-
import asyncio
from playwright.async_api import async_playwright
from cf_clearance import async_retry, stealth_async
async def main():
async with async_playwright() as p:
browser = await p.chromium.launch(headless=False, proxy={"server": "socks5://localhost:7890"}, args=[
... | 0therGuys/cf_clearance | tests/test_async_cf.py | test_async_cf.py | py | 1,256 | python | en | code | null | github-code | 1 |
15891473847 | import os
import cv2 as cv
import numpy as np
imagedb_train = ('imagedb_train')
sift = cv.xfeatures2d_SIFT.create()
folders = os.listdir(imagedb_train)
def extract_local_features(path):
img = cv.imread(path)
kp = sift.detect(img)
desc = sift.compute(img, kp)
desc = desc[1]
retur... | SteliosMouslech/Computer-Vision-Duth | Project 3/CreateVoc_CreateTrainDiscs.py | CreateVoc_CreateTrainDiscs.py | py | 2,340 | python | en | code | 1 | github-code | 1 |
70716332195 | from django.shortcuts import render, redirect
from django.contrib.auth.forms import AuthenticationForm # 비어있는 폼 제공
from django.contrib.auth import login as auth_login
from django.contrib.auth import logout as auth_logout
# Create your views here.
def login(request):
if request.method == 'POST': # 로그인폼을 입력하고 로그인을... | ysparrk/Django | 230322/01_auth_template/accounts/views.py | views.py | py | 1,386 | python | ko | code | 0 | github-code | 1 |
30352443016 | from config import *
from lib import cords, led
from utils.time import sleep_ms
def _is_row(side):
return side == cords.TOP or side == cords.BOTTOM
def lines(gen, source=cords.TOP):
side = DISPLAY_ROWS if _is_row(source) else DISPLAY_COLUMNS
other_side = DISPLAY_COLUMNS if _is_row(source) else DISPLAY_R... | LeLuxNet/GridPy | animations/coded/lines.py | lines.py | py | 714 | python | en | code | 0 | github-code | 1 |
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