seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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36484016718 | import AoC_tools.aoc_tools as aoc
data = aoc.read_input("input.txt", "\n")
data = [list(d) for d in data]
def get_prio(letter):
if letter == letter.lower():
return ord(letter) - ord("a") + 1
elif letter == letter.upper():
return ord(letter) - ord("A") + 27
def split_half(prio):
half = int... | lannieligthart/advent_of_code | 2022/3/part1.py | part1.py | py | 621 | python | en | code | 2 | github-code | 54 |
6338254775 | import sys
import cv2
import numpy as np
from pathlib import Path
from lib import LUT
lut = LUT(1/1.6)
def main():
directory = sys.argv[1]#'./yuyushiki3'
paths = Path(directory).resolve()
for path in paths.iterdir():
if path.suffix == '.png':
print(path.as_posix())
im = cv... | non117/zoi | filter.py | filter.py | py | 500 | python | en | code | 19 | github-code | 54 |
13332582890 | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# # Getting Started
#
# Following the instructions for generating agent data (either [locally](https://github.com/KDL-umass/ToyboxAgents/wiki/Generate-Agent-Data-Locally) or [on a cluster](https://github.com/KDL-umass... | toybox-rs/ToyboxAgents | analysis/raw_data_tutorial.py | raw_data_tutorial.py | py | 20,646 | python | en | code | 0 | github-code | 54 |
74316497123 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('about/', views.about, name='about'),
path('decks/', views.decks_index, name='index'),
path('decks/<int:deck_id>/', views.decks_detail, name='detail'),
path('decks/create/', views.DeckCreate.as_view(), n... | D-Sen/cardcollector | main_app/urls.py | urls.py | py | 918 | python | en | code | 0 | github-code | 54 |
28745072331 | from scapy.all import *
import scapy
import http
from scapy.utils import PcapWriter
import time
import queue
import pymysql
import re
import datetime
works = queue.Queue() #队列（正常的数据）
caijixin = queue.Queue() #队列（异常危险的数据）
with open('C:/Users/admin/Desktop/lkd/text.txt','r') as f: #调用规则库
txt = f.read().spli... | Destiny310/gouguangyao | sheji.py | sheji.py | py | 3,158 | python | en | code | 0 | github-code | 54 |
74229858082 | RTL_LANGUAGES = {
'he', 'ar', 'arc', 'dv', 'fa', 'ha',
'khw', 'ks', 'ku', 'ps', 'ur', 'yi',
}
COLORS = {
'primary': '#0d6efd', 'blue': '#0d6efd', 'secondary': '#6c757d',
'success': '#198754', 'green': '#198754', 'danger': '#dc3545',
'red': '#dc3545', 'warning': '#ffc107', 'yellow': '#ffc107',
... | PythonFreeCourse/lms | lms/utils/consts.py | consts.py | py | 674 | python | en | code | 96 | github-code | 54 |
31688933006 | from __future__ import absolute_import
import re
import socket
from base64 import b64encode
from urllib import parse as urlparse
import gevent
from slimta import logging
from slimta.smtp.reply import Reply
from slimta.http import get_connection
from . import PermanentRelayError, TransientRelayError
from .pool import... | slimta/python-slimta | slimta/relay/http.py | http.py | py | 7,303 | python | en | code | 168 | github-code | 54 |
459800402 | import numpy as np
from algorithms.initiation.BasicInitiation import BasicInitiation
class SpatialStandardPlacement:
"""
The class of a spatial placement. Object of this class performs placement of all features instances and holds all data of this placement. The placement is performed
according to the st... | tomdziwood/moving-objects-data-generator | moving-objects-data-generator/algorithms/utils/SpatialStandardPlacement.py | SpatialStandardPlacement.py | py | 7,572 | python | en | code | 0 | github-code | 54 |
7286969297 | # time Complexity - O(n^m*m)
# Space Complexity - O(m^2)
def countConstruct(target,wordBank):
if target == "":
return 1
count = 0
for i in wordBank:
if target.startswith(i):
newTarget=target.replace(i,"")
if countConstruct(newTarget,wordBank):
... | Arjune-Ram-Kumar-M-Github/FreeCodeCamp.org-Dynamic-Programming--Algorithmic-Problems-Coding-Challenges-Python-Solutions | Naive_Recursion_CountConstruct.py | Naive_Recursion_CountConstruct.py | py | 485 | python | en | code | 1 | github-code | 54 |
35939307990 | import random
import copy
from numpy.ma import array
from clustering.weight_functions import euclid_dist
import numpy as np
class MYKMedoids:
def __init__(self, n_clusters=8, max_iter=100, tol=1e-4, dist_func=euclid_dist):
self.n_clusters = n_clusters
self.max_iter = max_iter
self.tol =... | melgenek/ml_labs | clustering/MYKMedoids.py | MYKMedoids.py | py | 2,146 | python | en | code | 0 | github-code | 54 |
11080834937 | from google.cloud import pubsub_v1
import os
def publish_message(topicId, message, sourceSubscription):
client = pubsub_v1.PublisherClient()
projectId = os.environ.get('PROJECT_ID')
topicPath = client.topic_path(projectId, topicId)
data = message.encode("utf-8")
client.publish(topicPath, data=dat... | uk-gov-mirror/ONSdigital.blaise-pubsub-functions | tests/pubsub_test_helper.py | pubsub_test_helper.py | py | 433 | python | en | code | 0 | github-code | 54 |
30924435010 | """ Given
(1) a large dataset from which we can sample new, smaller 'datasets'
(2) the number of distinct query datasets that should be used when composing the new dataset
this script explores different ways of drawing samples that correspond to these 'datasets'. The idea is to draw several datasets fo... | VIDA-NYU/prida | improvement-prediction/classification/draw_datasets.py | draw_datasets.py | py | 2,707 | python | en | code | 2 | github-code | 54 |
12519584196 | from Layers import GlobalFilter , NormLayer
from non_activation import SigmoidComplex , SoftmaxComplex
import torch.nn as nn
import numpy as np
class AttentionFilter(nn.Module):
def __init__(self, F_g, F_l, F_int,dim):
super(AttentionFilter,self).__init__()
self.Gate_signle = GlobalFilt... | deep-matter/Attention_Filter_Gate | src/model/blocks/attentions_networks.py | attentions_networks.py | py | 2,797 | python | en | code | 0 | github-code | 54 |
35991862522 | import sys
import numpy as np
import logging
import scipy.integrate as integrate
import scipy.optimize
import scipy.special
import torch
from numbers import Number
from torch.distributions import constraints
from torch.distributions.geometric import Geometric
from torch.distributions.categorical import Categorical
fro... | gizatt/spatial_scene_grammars | spatial_scene_grammars/distributions.py | distributions.py | py | 31,946 | python | en | code | 14 | github-code | 54 |
28177450179 | from settingsWindow import *
from CytometrKernel import *
class settingsWindowController(QtWidgets.QDialog, Ui_SettingsWindow):
def __init__(self, parent = None):
super(settingsWindowController, self).__init__(parent)
self.setupUi(self)
self.connectPushButton.clicked.connect(self.connectB... | mikhail-7975/New_4PI_CYTOMETR | InterfaceOnOyqt5/settingsWindowController.py | settingsWindowController.py | py | 2,029 | python | en | code | 0 | github-code | 54 |
12850298238 | # -*- coding: utf-8 -*-
import os
import logging
import pickle
import scrapy
import dateutil.parser as dateparser
from dateutil.tz import gettz
from datetime import datetime
from bs4 import BeautifulSoup
if not os.path.exists('./log'):
os.mkdir('log')
logging.basicConfig(
filename='log/investing.com.log',
... | Wenbing-Yao/Bitcoin-Price-Trends-Dataset | src/spider/bitspider/spiders/investing_com.py | investing_com.py | py | 3,774 | python | en | code | 1 | github-code | 54 |
25249369035 | # -*- coding: utf-8 -*-
# UTF-8 encoding when using korean
x, y = map(int, input().split())
d = int(input())
# 진우 / 선우
# 진우가 밤 증에 자신의 식량 절반을 선우에게 가져다 주었다
# 그 다음날 밤, 선우는 자신의 식량 절반을 진우에게 가져다 주었다
# 가지고 있는 식량의 양이 홀수이면, 그 식량을 통째로 넘겨준다
# 처음에 두 형제는 모두 식량을 100개 씩 가지고 있다.
# 진우 선우
# 100 100
# 50 150
# 125 75
# 62 138
tem... | wodnrl1346/Problem_Solving-Algorithm | 2_Implementation-Brute-force search/goorm_의좋은 형제.py | goorm_의좋은 형제.py | py | 950 | python | ko | code | 0 | github-code | 54 |
3823908958 | from __future__ import absolute_import
from collections.abc import Iterable
from django import template
from apps.noclook.templatetags.noclook_tags import noclook_node_to_link
from django.utils.safestring import mark_safe
from django.utils.html import format_html, format_html_join
register = template.Library()
@reg... | NORDUnet/ni | src/niweb/apps/noclook/templatetags/table_tags.py | table_tags.py | py | 1,338 | python | en | code | 3 | github-code | 54 |
35363013147 | import json
import os
import csv
import tkinter as tk
import cv2
from PIL import Image
import math
def getBoxes(fileJson):
patcher = fileJson['patcher']
boxes = patcher['boxes']
return boxes
# Get width/height of current screen
root = tk.Tk()
screenWidth = root.winfo_screenwidth()
screenHeight = root.winfo_screenh... | jpclemente97/PopsenteretProducerStation | maxDynamicScreenResolution/maxDynamicScreenResolution.py | maxDynamicScreenResolution.py | py | 6,744 | python | en | code | 1 | github-code | 54 |
23190811503 |
from flask import Flask, render_template
import sqlite3
import plotly.graph_objects as go
@app.route('/plot')
def plot():
x_vals = ['Action', 'Drama', 'Crime', 'Adventure', 'Western', 'Biography']
y_vals = [1, 2, 3, 1, 1, 1]
movie_data = go.Bar(
x=x_vals,
y=y_vals
)
fig = go.Figur... | Karess123/final-project | graph.py | graph.py | py | 484 | python | en | code | 0 | github-code | 54 |
32948081658 | import pandas as pd
from datetime import datetime, timedelta
# make sure only keep the tmp2m over western us (508 grid points)
data = pd.read_hdf('tmp2m_western_us.h5')
western_us = data[data.start_date == '2019-01-01'][['lat', 'lon']]
data_updated = western_us.merge(data, on=['lat', 'lon'], how='inner')
data_test = d... | Sijie-umn/SSF-MIP | Groundtruth/filling_missing_values.py | filling_missing_values.py | py | 1,855 | python | en | code | 6 | github-code | 54 |
12700898331 | import colorsys
import cv2
import numpy as np
# set hue, saturation and valuness here.
h, s, v = 0, 87.5, 87.5
# output image date
img = np.full((600, 800, 3), 128, dtype=np.uint8)
# cordinate for making color rectangule.
sX = 0
sY = 0
eX = 200
eY = 200
# make palette 3columns * 4rows
for i in range(3):
for j i... | Daiki27/colorPalette-HSV | colorPalette.py | colorPalette.py | py | 1,168 | python | en | code | 0 | github-code | 54 |
37524853107 | import os
import shutil
import tempfile
import hashlib
import flask
from flask import request, redirect, url_for, session, abort
import arrow
import wordextractor
import time
import gensim.downloader as api
import interface
from flask import Flask, current_app
# All module pre-load
app = Flask(__name__)
with app.app... | ericzhaoze/549project | wordExtractor/wordextractor/views/index.py | index.py | py | 2,031 | python | en | code | 1 | github-code | 54 |
31663200536 | #we need to sort so O(n log n)
#飞机题和这个题是完全一样的
def min_meeting_rooms(self, intervals: List[Interval]) -> int:
# Write your code here
#建立两个sorted array
#start = [0,5,10]
#end = [10,15,30]
start = sorted([ele.start for ele in intervals])
end = sorted([ele.end for ele in intervals])
#两个pointer分别... | MaisieGao/Leetcode | 双指针/区间/核心/lintcode919 meeting room.py | lintcode919 meeting room.py | py | 861 | python | en | code | 0 | github-code | 54 |
2989067587 | from nturl2path import url2pathname
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name ='home'),
path('notes/', views.notes, name ='notes'),
path('delete_note/<int:id>', views.delete_note, name ='delete_note'),
path('notes_detail/(?P<pk>\d+)$', views.NotesDe... | mohammedsalam2002/studentClass_with_django | dashboard/urls.py | urls.py | py | 845 | python | en | code | 0 | github-code | 54 |
41087491793 | def multipleunpacking(*args):
print("Type:",type(args))
print(args)
a=[1,5,6]
multipleunpacking(a)
b=(5,8,9)
multipleunpacking(b)
c={3,7,6}
multipleunpacking(c)
r=range(100,105)
multipleunpacking(*r)
print(*range(1,6),sep="\n")
| SNBhushan/BASICS-OF-PYTHON | pyfunc13.py | pyfunc13.py | py | 258 | python | en | code | 0 | github-code | 54 |
32456683287 | """This is a module containing constants and fixed functions.
"""
import numpy as np
SIGMA = 5.67e-8
"""Stefan–Boltzmann constant, W/(m^2 K^4)
"""
G = 9.807
"""Gravity of Earth, m/s^2
"""
R = 8.314
"""Gas constant, J/(mol K)
"""
FLUID = {1: 'Water', 2: 'Air', 3: 'INCOMP::TVP1',
4: 'Toluene', 5: 'R123'}... | hustquick/PythonPackages | Const.py | Const.py | py | 3,549 | python | en | code | 0 | github-code | 54 |
3578080622 | from typing import Dict, Union
from azure.ai.ml.entities._inputs_outputs import Input, Output
from azure.ai.ml.entities._job._input_output_helpers import build_input_output
class JobIOMixin:
@property
def inputs(self) -> Dict[str, Union[Input, str, bool, int, float]]:
return self._inputs
@inputs... | Azure/azure-sdk-for-python | sdk/ml/azure-ai-ml/azure/ai/ml/entities/_job/job_io_mixin.py | job_io_mixin.py | py | 969 | python | en | code | 3,916 | github-code | 54 |
2035782568 | import streamlit as st
import torchxrayvision as xrv
import skimage, torch, torchvision
def get_image(image_file):
img = skimage.io.imread(image_file)
img = xrv.datasets.normalize(img, 255) # convert 8-bit image to [-1024, 1024] range
img = img.mean(2)[None, ...] # Make single color channel
transform =... | Health-Universe/torchxrayvis_sl | main.py | main.py | py | 1,185 | python | en | code | 0 | github-code | 54 |
12672502624 | # -*- coding: utf-8 -*-
from PIL import Image
from OCRTool import *
import time
###
# 图片处理
###
# 练功
class LGManager(object):
"""docstring for LGManager"""
def __init__(self):
super(LGManager, self).__init__()
self.init()
self.color_init()
self.ocr_init()
self.db_... | MukaManaka/LGBAssistant | LGM.py | LGM.py | py | 8,559 | python | en | code | 0 | github-code | 54 |
34945923136 | from flask import Flask, render_template
from flask.ext.pymongo import PyMongo
from pymongo import MongoClient
from flask_bootstrap import Bootstrap
from importlib.machinery import SourceFileLoader
import datetime
import sys, os
sys.path.append(os.getcwd())
import check_db
app = Flask(__name__)
Bootstrap(app)
conn = M... | gtomic2/yxscrp | app/routes.py | routes.py | py | 3,760 | python | en | code | 0 | github-code | 54 |
3904071020 | n, m = map(int, input().split())
load = {i: [] for i in range(1, n+1)}
point = {i: 0 for i in range(2, n+1)}
new_list = []
for i in range(m):
a, b = map(int, input().split())
if a == 1:
point[b] = 1
new_list.append(b)
elif b == 1:
point[a] = 1
new_list.append(a)
else:
... | yudai1102jp/atcoder | legacy/abc/abc168/d.py | d.py | py | 746 | python | en | code | 0 | github-code | 54 |
16487371791 | from flask import Flask, render_template, request
import spacy
import nltk
from nltk import word_tokenize, pos_tag
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
app = Flask(__name__, static_url_path='/static')
nlp = spacy.load("en_core_web_sm")
@app.route("/")
def index():
ret... | chandana-koganti14/Context | app.py | app.py | py | 2,311 | python | en | code | 0 | github-code | 54 |
41727929684 | from rest_framework import status
from rest_framework.response import Response
from rest_framework.reverse import reverse
from rest_framework.views import APIView
class ListView(APIView):
"""
Return a list containing all instances of this model.
"""
serializer_class = None
permission_classes = []... | skazancev/django-api-boilerplate | project/api_admin/views/list.py | list.py | py | 1,305 | python | en | code | 1 | github-code | 54 |
20036485285 | """
A simplified version of the kmall-converter, for readability and usability as a cli.
The logic is moved to process_datagram.py
"""
import os
import sys
import struct
import time
import portalocker
import utm
import click
from glob import glob
from tqdm import tqdm
from pathlib import Path
from functools import part... | kwigulaker/EchoLocation | EM2040/utils/kmall_to_xyz/kmall_to_xyz.py | kmall_to_xyz.py | py | 8,549 | python | en | code | 1 | github-code | 54 |
31679267902 | #! /usr/bin/env python
# coding: utf-8
#
# qca.py
#
# by Logan Hillberry
#
#
# Description:
# ===========
# Provides two key functionalities:
#
# 1)
# Object-Oriented class for interacting with density matrix data saved
# by simulations. Enables calculation of entropies, expectation values,
# mutual information,... | lhillber/qca | qca.py | qca.py | py | 39,011 | python | en | code | 6 | github-code | 54 |
41527008144 | #!/usr/bin/env python
from distutils.core import setup
from setuptools import find_packages # type: ignore
from os.path import abspath, join, dirname
name = "Mikko Korpela"
# I might be just a bit too much afraid of those bots.
address = name.lower().replace(" ", ".") + chr(64) + "gmail.com"
desc = "A decorator to ... | mkorpela/overrides | setup.py | setup.py | py | 1,253 | python | en | code | 257 | github-code | 54 |
10585848108 | # -*- coding: utf-8 -*-
"""
Created on Sun May 20 12:12:48 2018
@author: matth --- 15600
"""
from keras.models import Sequential
from keras.layers import Lambda, Conv2D, Dense, Dropout, Flatten
from keras.layers.convolutional import Convolution2D
from keras.layers.convolutional import MaxPooling2D
from keras import ba... | IALABGARAGE/PiloteAutomatique | trainmodel.py | trainmodel.py | py | 2,147 | python | en | code | 0 | github-code | 54 |
46106316187 | import matplotlib.pyplot as plt
plt.rc('font',**{'family':'Times New Roman', 'size': 14})
plt.rc('axes', axisbelow=True)
plt.rcParams['pdf.fonttype'] = 42
import os
import subprocess
import datetime
import glob
import plot_transmission_acks
import matplotlib.pyplot as plt
def get_video_packets(pcap_path):
p = s... | glasgow-ipl/newcwv-nossdav2022 | scripts/analytics/paper/count_lost_packets.py | count_lost_packets.py | py | 3,052 | python | en | code | 3 | github-code | 54 |
32445172715 | import tensorflow as tf
import pickle
import numpy as np
#Load data from pickle file
pickle_file = 'sentiment_set.pickle'
with open(pickle_file, 'rb') as f:
data_list = pickle.load(f)
train_x = data_list[0]
train_y = data_list[1]
test_x = data_list[2]
test_y = data_list[3]
del data_list
#print('Training... | vishal-keshav/Conv-neural-network | NLP/Deep network for sentiment analysis/sentiment_deep_network.py | sentiment_deep_network.py | py | 2,495 | python | en | code | 0 | github-code | 54 |
14301491365 | import catalog_funcs
import const
from os import path
import pandas as pd
import sys
catalog = catalog_funcs.open_local_catalog_list()
pd_catalog = pd.DataFrame(catalog)
print(pd_catalog['Size'].sum())
#total_size = pd_catalog.sum(axis='Size')
#print(total_size)
### EXIT ###
sys.exit()
############
nft_paths = []... | giovanibs/iSB | catalog/catalog.py | catalog.py | py | 776 | python | en | code | 0 | github-code | 54 |
3321761340 |
from PyQt6.QtWidgets import (QPushButton,
QFrame,
QListWidget,
QListWidgetItem,
QCheckBox,
QVBoxLayout,
QDialog,
QMe... | lnls-ima/insertion-devices | gui/widgets/analysis.py | analysis.py | py | 21,168 | python | en | code | 1 | github-code | 54 |
38922628151 | from django.shortcuts import render, HttpResponseRedirect
from django.views import View
from django.contrib import messages
from task_manager.mixins import LoginRequiredWithMessageMixin
from task_manager.tasks.forms import TaskForm, SearchTaskForm
from task_manager.tasks.models import Task
from django.urls import rever... | vladimirbazhanov/python-project-52 | task_manager/tasks/views.py | views.py | py | 3,436 | python | en | code | 0 | github-code | 54 |
22851156031 | """Deal with various biological databases and services on the web.
"""
import time
class RequestLimiter:
# This class implements a simple countdown timer for delaying WWW
# requests.
def __init__(self, delay):
self.last_time = 0.0
self.delay = delay
def wait(self, delay=None):
i... | dbmi-pitt/DIKB-Micropublication | scripts/mp-scripts/Bio/WWW/__init__.py | __init__.py | py | 519 | python | en | code | 7 | github-code | 54 |
16078389697 | import random
import copy
class LightsOutPuzzle(object):
def __init__(self, board):
self.board = board
def get_board(self):
return self.board
def perform_move(self, row, col):
if row >= 0 and col >= 0:
max_nth_row, max_nth_col = len(self.board)-1, len(self.board[0][:])... | 498020441/Lights_out_puzzle | bfs_searching_solver.py | bfs_searching_solver.py | py | 2,956 | python | en | code | 0 | github-code | 54 |
13431157879 | #!/usr/bin/python3
import numpy as np
from utils import log
class InputFile:
def __init__(self, file_path):
self._rows = []
self.num_rows = 0
self.num_cols = 0
self.num_ingredients_min = 0
self.num_cells_per_slice_max = 0
self._file = open(file_path, 'r')
... | locke14/hash-code-prep | solutions/file_io.py | file_io.py | py | 1,731 | python | en | code | 0 | github-code | 54 |
70794729442 | import numpy as np
import cv2
from random import randint
img = cv2.imread("fuzzy.png",1)
# bw = cv2.imread('fuzzy.png', 0)
thresholdValue = 45 #min = 0 max = 255
gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
blur = cv2.GaussianBlur(gray, (3, 3), 0)
thresh = cv2.adaptiveThreshold(blur, 255, cv2.ADAPTIVE_THRESH_GAU... | jarzab3/openCV | Ex_Files_OpenCV_Python_Dev/Ch03/03_10 Begin/03_10.py | 03_10.py | py | 1,359 | python | en | code | 0 | github-code | 54 |
4295648879 | import os.path
from unittest import TestCase, expectedFailure
from enstaller.new_solver import Pool
from simplesat.pysolver_with_policy import Solver
from .common import Scenario
class ScenarioTestAssistant(object):
def _check_solution(self, filename):
# Test that the solution described in the scenari... | pombredanne/sat-solver-2 | simplesat/tests/test_scenarios_policy.py | test_scenarios_policy.py | py | 2,327 | python | en | code | 0 | github-code | 54 |
15319172171 | import os
import configparser
from pathlib import Path
import pandas_datareader.data as web
import time
config = configparser.ConfigParser()
config.read("config.ini", encoding='utf-8')
min_cap = config.get('settings', 'min_cap')
min_cap_is_defined = False
if min_cap.isnumeric():
min_cap_bln = float(min_cap)
m... | AntonBespalov/FilterChartsByMarketCap | filterChartsMarketCap.py | filterChartsMarketCap.py | py | 3,633 | python | ru | code | 0 | github-code | 54 |
70583367523 | def BinaryToWords(binary):
binary1 = binary
words, i, n = 0, 0, 0
while(binary != 0):
dec = binary % 10
words = words + dec * pow(2, i)
binary = binary//10
i += 1
return (words)
# Driver's code
bin_data = input('Enter any Binary number: ... | UTSAVS26/Python-Basics-1 | bin_words.py | bin_words.py | py | 613 | python | en | code | 0 | github-code | 54 |
2834029308 | #
# Mars Rover Design Team
# marker_search.py
#
# Created on Dec 01, 2018
# Updated on Aug 21, 2022
#
# Find more info on archimedean spirals here https://www.britannica.com/science/spiral-mathematics
#
import math
import core
def calculate_next_coordinate(start, former_goal):
"""
Performs a calculation for... | MissouriMRDT/Autonomy_Software_Python | algorithms/marker_search.py | marker_search.py | py | 2,136 | python | en | code | 23 | github-code | 54 |
5110301933 | '''
Storage module
'''
from enum import Enum
from functools import reduce, wraps
import six
from tinydb import Query, TinyDB
from .graph.nodes import Root
from .helper import Logger
class Storage:
def _singleton(func):
@wraps(func)
def func_wrapper(*args, **kwds):
if Storage.db is n... | di-unipi-socc/TosKer | tosker/storage.py | storage.py | py | 3,797 | python | en | code | 9 | github-code | 54 |
41218868704 | from widget import *
log = logging.getLogger("wooly.page")
strings = StringCatalog(__file__)
class Page(Frame):
xml_content_type = "text/xml"
html_content_type = "text/html"
xhtml_content_type = "application/xhtml+xml"
xml_1_0_declaration = """<?xml version="1.0" encoding="UTF-8"?>"""
xhtml_1_1_do... | ssorj/boneyard | spicerack/wooly/python/wooly/page.py | page.py | py | 5,885 | python | en | code | 2 | github-code | 54 |
26775715262 | import sqlite3
def initialize_table(
table_name: str, container_type_name: str, schema_version: str, cur: sqlite3.Cursor
) -> None:
if not _is_metadata_table_initialized(cur):
_do_initialize_metadata_table(cur)
if not _is_table_initialized(table_name, container_type_name, schema_version, cur):
... | yuanjie-ai/MeUtils | meutils/other/docarray/array/storage/sqlite/helper.py | helper.py | py | 2,279 | python | en | code | 3 | github-code | 54 |
14059116864 | import pandas as pd
import datetime
import numpy as np
# 1 Deal with CPI
cpi = pd.read_excel('data/original_data/CPI.xlsx')
cpi = cpi.loc[cpi.loc[:,"Datasign"]=="C",:]
cpi.columns=['Date', 'Datasign', 'CPI']
my_logi = np.logical_and(cpi["Date"]>="2002-01",cpi["Date"]<="2021-02")
cpi = cpi.loc[my_logi,]
cpi.index = cp... | mliw/ts_essay_project | data/Primitive_preparation/0_Data_Preparation.py | 0_Data_Preparation.py | py | 2,111 | python | en | code | 0 | github-code | 54 |
28075305367 | from django.utils.translation import gettext_lazy as _
STATUS_PRODUCT = (
(0, _("Innactive")),
(1, _("Active")),
(2, _("Deleted")),
)
PRODUCT_COLOR_ORDER = (
(1, _("Principal")),
(2, _("Secondary")),
)
SIZE_PRODUCT = (
('XS', _("XS")),
('S', _("S")),
('M', _("M")),
('L', _("L")),
... | zulymhj/api-rest-django | catalog/__init__.py | __init__.py | py | 406 | python | en | code | 1 | github-code | 54 |
17762644361 | """
Секретное слово
Напишите программу для расшифровки секретного слова методом частотного анализа.
Формат входных данных
В первой строке задано зашифрованное слово. Во второй строке задано одно целое число nn – количество букв в словаре. В следующих nn строках записано, сколько раз конкретная буква алфавита встречает... | DAlferova/stepik_advanced | P6_dict/dict_secret_word.py | dict_secret_word.py | py | 1,433 | python | ru | code | 0 | github-code | 54 |
25377157364 | def solution(files):
answer = []
head, num, tail = "", "", "" # head, num, tail = " ", " ", " " 띄어쓰기면 틀리다.
for file in files:
for i in range(len(file)):
if file[i].isdigit():
head = file[:i]
num = file[i:]
for j in ran... | noxknow/Python-Coding_test | (01) 2018 카카오 블라인드, 인턴쉽/2018 카카오 블라인드 파일명 정렬.py | 2018 카카오 블라인드 파일명 정렬.py | py | 1,019 | python | ko | code | 1 | github-code | 54 |
31770835570 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from bs4 import BeautifulSoup as bs
import time
from selenium.webdriver.chrome.options import Options
chrome_options = Options()
chrome_options.add_argument("--headless")
# chr... | stogoff/pricescrapy | selenium_proxy_test.py | selenium_proxy_test.py | py | 1,688 | python | en | code | 0 | github-code | 54 |
21073488228 | import streamlit
import pandas
import requests
import snowflake.connector
from urllib.error import URLError
streamlit.title('My Parents New Healthy Diner')
streamlit.header('Breakfast Favorites')
streamlit.text('🥣 Omega 3 & Blueberry Oatmeal')
streamlit.text('🥗 Kale, Spinach & Rocket Smoothie')
streamlit.text('🐔 H... | tim-wright/first_streamlit_app | streamlit_app.py | streamlit_app.py | py | 2,444 | python | en | code | 0 | github-code | 54 |
28217146440 | # -------------------------------------------------------
# synthesis
#author:Maker
#version:1.0.0
#create:2016/12/7
#the python version:python3
# -------------------------------------------------------
#encoding=utf-8
import json, os, sys
from urllib.request import urlopen
from urllib.request import Request
from urll... | Makero/piSys | pi-command/synthesis.py | synthesis.py | py | 1,435 | python | en | code | 0 | github-code | 54 |
36818351502 | import os,sys,time
from array import array
import ROOT as rt
from larcv import larcv
import numpy as np
# torch
import torch
import torch.nn as nn
import torch.nn.functional as F
class LArFlowVisibilityLoss(nn.Module):
def __init__(self,nonvisi_weight=1.0e-2):
super(LArFlowVisibilityLoss,self).__init__... | NuTufts/larflow | deprecated/old_larflownet_models/larflow_visibility_loss.py | larflow_visibility_loss.py | py | 1,319 | python | en | code | 1 | github-code | 54 |
21475998311 | #code1
tc = int(input())
for t in range(1, tc+1):
n = int(input())
print(n**(1/3))
if abs(n**(1/3)-round(n**(1/3))) < 1e-9:
print(f'#{t} {int(round(n**(1/3)))}')
else:
print(f'#{t} -1')
#code2
arr = [0] * (10**6+1)
for x in range(len(arr)):
arr[x] = x**3
T = int(input())
for tc i... | chocolajin/Algorithm-Study | Advanced/5688_세제곱근을찾아라.py | 5688_세제곱근을찾아라.py | py | 444 | python | en | code | 0 | github-code | 54 |
44067269354 | import numpy as np
from glob import glob
import csv
classes = np.loadtxt('classes.csv', skiprows=1, dtype=str, delimiter=',')
labels = classes[:, 2].astype(np.uint8)
def write_labels(path):
files = glob('{}/*/*_image.jpg'.format(path))
files.sort()
name = '{}/test_labels.csv'.format(path)
... | LeslieWu999/16664_Final_Project | test.py | test.py | py | 928 | python | en | code | 0 | github-code | 54 |
28666887485 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render, redirect, get_object_or_404
from forms import TicketForm, CommentForm
from models import Ticket, Comment, VoteTracker
from django.core.urlresolvers import reverse
from django.contrib.auth.decorators import login_requir... | Lenox89/StreamThree | support_app/views.py | views.py | py | 1,729 | python | en | code | 0 | github-code | 54 |
10885193996 | from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from time import sleep
driver = webdriver.Chrome()
driver.implicitly_wait(10)
driver.maximize_window()
driver.get('https://www.baidu.com/')
driver.find_element_by_class_name('soutu-btn').click()
driver.find_element_by_clas... | gitly110/python_exc | selenium_learn/model/upload.py | upload.py | py | 432 | python | en | code | 0 | github-code | 54 |
7801251568 | # def solve(probdata):
# for i in probdata:
# try:
# if (probdata.index(-i)):
# print(str(i)+" "+str(probdata.pop(probdata.index(-i))),end = ' ')
# except:
# pass
# t = int(input())
# a = []
# for k in range(0,t):
# r = input()
# listx = input().split(... | vivasvan1/tempballtrail | GLUT/test.py | test.py | py | 700 | python | en | code | 0 | github-code | 54 |
21414101536 | # ftp://BDTOPO_V3_ext:Aish3ho8!!!@ftp3.ign.fr/BDTOPO_3-0_2021-03-15/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D001_2021-03-15.7z
import urllib.request
import py7zr
import re
import os
def configure(context):
context.stage("data.spatial.codes")
def execute(context):
df_codes = context.stage("data.spatial.codes")
r... | Nitnelav/sirane-pipeline | data/bdtopo/download.py | download.py | py | 1,162 | python | en | code | 0 | github-code | 54 |
16859240147 | """
Script for plotting probability distribution functions of 2D quantities.
Usage:
plot_pdfs.py [options]
Options:
--root_dir=<str> Path to root directory containing data_dir [default: .]
--data_dir=<str> Name of data handler directory [default: snapshots]
--out_name=<str> Name of figure ... | evanhanders/plotpal | examples/d2/2d_rayleigh_benard/plot_b_pdf.py | plot_b_pdf.py | py | 1,752 | python | en | code | 3 | github-code | 54 |
24468553498 | """
Module with object for storing and accessing gui state variables.
Each project open in the GUI will have its own instance of GuiState, as will any
video player (`QtVideoPlayer` widget) which shows different images than in the
main app GUI (e.g., `QtImageDirectoryWidget` used for visualizing results
during training... | talmolab/sleap | sleap/gui/state.py | state.py | py | 6,614 | python | en | code | 340 | github-code | 54 |
31559909980 | #!/usr/bin/python3
import math
########################################################################
# Defining the class formulae. This is the core of the #
# program, inside which the main functions are defined. #
# This functions perform the mathematical calculations ... | root-user744/theMathShell | Formulae/formulae.py | formulae.py | py | 6,891 | python | en | code | 2 | github-code | 54 |
74868678240 | '''
Created on 13 nov. 2018
@author: Iván REVISAR Y COMENTAR
'''
#Lista de los numeros (Operandos)
# Pila de operadores, si es el primero lo guardo, si no, pues miro la prioridad del que hay y el que viene
#Si tienen misma prioridad o menos, desapilo
# Distinta prioridad dentro de la pila y fuera
# Si tengo un cierre... | IvanPerez9/Programming-Paradigms | Python/Practica1/Practica1.py | Practica1.py | py | 3,662 | python | es | code | 7 | github-code | 54 |
32385742599 | import sys
input = sys.stdin.readline
def solution(info):
result = 1
now_score = (1e8, 1e8, 1e8)
for idx, (num, g, s, b) in enumerate(info):
if (g, s, b) < now_score:
result = idx + 1
now_score = (g, s, b)
if num == k:
return result
n, k = map(int, in... | seongjaee/algorithm-study | Codes/BOJ/8979_올림픽.py | 8979_올림픽.py | py | 474 | python | en | code | 0 | github-code | 54 |
18068115449 | from __future__ import division, absolute_import
import copy
import numpy as np
from sporco.admm import admm
from sporco.admm import ccmod
import sporco.cnvrep as cr
import sporco.linalg as sl
from sporco.common import _fix_dynamic_class_lookup
from sporco.fft import rfftn, irfftn, empty_aligned, rfftn_empty_aligned
... | bwohlberg/sporco | sporco/admm/ccmodmd.py | ccmodmd.py | py | 39,576 | python | en | code | 238 | github-code | 54 |
12643375237 | from aiogram import Bot, Dispatcher, executor
import requests
import json
bot = Bot(token='TOKEN')
dp = Dispatcher(bot=bot)
@dp.message_handler(commands=['start'])
async def start(message):
await bot.send_message(message.chat.id, 'Привет')
@dp.message_handler(regexp='[0-9]+')
async def start(messag... | laglol18/numbers_tg_bot | number.py | number.py | py | 512 | python | en | code | 0 | github-code | 54 |
2961680571 | import logging
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from tqdm import tqdm
from scipy.stats import multivariate_normal
from sklearn.cluster import KMeans, MeanShift
from typing import Union, Tuple
logging.basicConfig(level=logging.INFO, format='%(message)s')
def gaussian_likelihood... | kakou34/misa_lab | lab2/src.py | src.py | py | 15,240 | python | en | code | 0 | github-code | 54 |
20841965312 | """Utility Classes for managing Volumes"""
from .partitioning import Disk, Partition
import yaml
class Volume:
"""Defines a Volume"""
def __init__(self, name: str, target: "Partition | None", index: int):
self.name = name
self.target = target
self.index = index
@property
def is... | LifetimeMistake/failrp | libs/volumes.py | volumes.py | py | 2,734 | python | en | code | 0 | github-code | 54 |
37839792920 | class HTTPStatus:
OK = "HTTP/1.0 200 OK\r\n"
NOT_FOUND = "HTTP/1.0 404 not found\r\n"
BAD_REQUEST = "HTTP/1.1 400 Bad Request\r\n"
METHOD_NOT_ALLOWED = "HTTP/1.1 405 Method Not Allowed\r\n"
INTERNAL_SERVER_ERROR = "HTTP/1.1 500 Internal Server Error\r\n"
class HTTPMethod:
GET = "GET"
POST =... | adikabintang/httpsrvrpy | httpsrvpy/__init__.py | __init__.py | py | 553 | python | en | code | 0 | github-code | 54 |
5955115389 | import torch
a = torch.zeros(4, device="cuda:0")
# Standard Library
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
"--headless_mode",
type=str,
default=None,
help="To run headless, use one of [native, websocket], webrtc might not work.",
)
parser.add_argument(
"--visuali... | NVlabs/curobo | examples/isaac_sim/motion_gen_reacher_nvblox.py | motion_gen_reacher_nvblox.py | py | 9,528 | python | en | code | 331 | github-code | 54 |
5527859995 | """
Implement FreqStack, a class which simulates the operation of a stack-like data structure.
FreqStack has two functions:
push(int x), which pushes an integer x onto the stack.
pop(), which removes and returns the most frequent element in the stack.
If there is a tie for most frequent element, the element ... | moontree/leetcode | version1/895_Maximum_Frequency_Stack.py | 895_Maximum_Frequency_Stack.py | py | 2,751 | python | en | code | 1 | github-code | 54 |
34289555067 | from bs4 import BeautifulSoup
import LjPage,ToolsBox,Downloader
class LjCommPrice(LjPage.LjPage):
def parse_datas(self, soup):
totalfind = soup.select("h2.total.fl > span")
if 0 == ToolsBox.strToInt(totalfind[0].get_text()):return '0'
page_datas = []
communitys = soup.select("div.in... | VinceLim68/py3-craw | LjCommPrice.py | LjCommPrice.py | py | 2,437 | python | en | code | 0 | github-code | 54 |
36805743413 | from django.shortcuts import render,redirect
from .forms import User_commentsForm,Student_commentsForm
from .models import User,User_comments,Student_comments
from django.contrib.auth import get_user_model,logout
from django.views.generic import CreateView,FormView
from django.contrib.auth.models import User,auth
from ... | abeedshaik786/kishore_task1 | svapp/views.py | views.py | py | 32,468 | python | en | code | 0 | github-code | 54 |
24811837725 | import setuptools
REQUIREMENTS = ["numpy", "tensorflow", "tqdm", "trimesh"]
setuptools.setup(
name='human',
version='0.0.1',
author="Victor T. N.",
install_requires=REQUIREMENTS,
description="HuMAn: Human Motion Anticipation",
url="https://github.com/Vtn21/HuMAn",
packages=setuptools.find_... | Vtn21/HuMAn | setup.py | setup.py | py | 478 | python | en | code | 1 | github-code | 54 |
36675106255 | """
单向非循环链表的实现
@author:feng.hao
@date:2019.3.22
"""
# Node的实现
class Node:
def __init__(self, initdata):
self._data = initdata
self._next = None # 默认值None
def getData(self):
return self._data
def getNext(self):
return self._next
def setData(self, newdata):
sel... | deanjingshui/Algorithm-Python | 15_链表/SinLinkedList_my.py | SinLinkedList_my.py | py | 5,318 | python | en | code | 1 | github-code | 54 |
14940013979 | import subprocess, pathlib, os, shutil
import librosa, soundfile
import re
import pykakasi
JULIUS_TMP_DIR = "./julius_segment_tmp"
JULIUS_SEGMENT_SCRIPT_PATH = "/home/murtaza/segmentation-kit/segment_julius.pl"
def format_moras_for_julius(moras):
text = "".join(moras)
kks = pykakasi.kakasi()
hiragana = ""... | murtaza64/koutei | julius_interface.py | julius_interface.py | py | 3,800 | python | en | code | 0 | github-code | 54 |
5749144715 | # -*- coding:utf-8 -*-
"""
Definition of physical dimensions.
Unit systems will be constructed on top of these dimensions.
Most of the examples in the doc use MKS system and are presented from the
computer point of view: from a human point, adding length to time is not legal
in MKS but it is in natural system; for a... | drastorguev/financethroughpython | venv/lib/python2.7/site-packages/sympy/physics/units/dimensions.py | dimensions.py | py | 18,785 | python | en | code | 13 | github-code | 54 |
43746403532 | from Node import Node
from SequenceNode import SequenceNode
class Tree:
def __init__(self):
self.__root = None
self.__size = 0
self.__sons = list()
self.__countOpen = 0
self.__flagEndVisit = False
self.__countChildSeq = 0
def get_root(self):
return sel... | lucamozzz/BPMN2CODE | src/Tree.py | Tree.py | py | 11,812 | python | en | code | 3 | github-code | 54 |
34170355858 | #!/usr/bin/python
import sys
import matplotlib.pyplot as plt
infile = sys.argv[1]
with open(infile) as inf:
points = []
lines = []
for line in inf:
line = line.rstrip('\n')
if line.find('line') == 0:
plt.plot(*zip(*[x.split(':') for x in line.split()[1:]]), color="black")
... | Yukkurigame/Yukkuri | bin/show_points.py | show_points.py | py | 478 | python | en | code | 7 | github-code | 54 |
39120765605 | """
#Exercicio 39: A importãncia de R$780.000.00 será dividida entre três ganhadores de um concurso.
Sendo que da quantia total:
- O primeiro ganhador receberá 46%;
- O segundo receberá 32%;
- o terceiro recebera o restante;
Calcule e imprima a quantia ganhada por cada um dos vencedores
"""
premio = 7800000... | VitorKruel102/Curso_Programando_em_Python | Exercicios_Seção04/Exercicio_39_S04.py | Exercicio_39_S04.py | py | 548 | python | pt | code | 0 | github-code | 54 |
17711970212 | import requests
import time
import random
from .urls import UrlBuilder
from .repo import Repo
class ArgumentException(Exception):
pass
class Cleaner:
def __init__(self, args, access_key='', do_random_sleep=True, max_sleep_time=2):
self.access_key = access_key
self.args = args[1:]
s... | speratus/forked-repo-cleaner | repo_cleaner/cleaner.py | cleaner.py | py | 2,393 | python | en | code | 0 | github-code | 54 |
10494969205 | import os.path as osp
import xml.etree.ElementTree as ET
import os
import mmcv
import numpy as np
import torch
from .custom import CustomDataset
import tqdm
class DET(CustomDataset):
CLASSES = ('n02510455',
'n02342885',
'n02355227',
'n02084071',
'n02... | youshyee/Greatape-Detection | mmdet/datasets/det.py | det.py | py | 7,252 | python | en | code | 1 | github-code | 54 |
9032069200 | def addoptions():
import optparse
parser = optparse.OptionParser()
exm_i = "./example/F_Protein_PRE_STATE_TRIMER.pdb"
exm_f = "./example/F_Protein_POST_STATE_TRIMER.pdb"
exm_o = "./output/Morph_PRE_POST_Transition.pdb"
exm_n = 5
#Adding the options
parser.add_option('-i', default=exm_i, type="string", he... | neeleshsoni21/AIMorpher | src/addoptions.py | addoptions.py | py | 1,192 | python | en | code | 1 | github-code | 54 |
12588848941 | from simulation_utils import *
from correctness import *
forecasts = []
actuals = []
n_forecasts = 100
for i in range(n_forecasts):
random.seed(i)
np.random.seed(i)
prices = train_and_test_generate(254, 25, 1000, 0.1, 0.3, 'call', 1060, 0.03)
forecast = simulated_pred(prices["train"], prices["test"],... | ozonowicz/option-price-simulation-and-prediction | correctness_test.py | correctness_test.py | py | 546 | python | en | code | 0 | github-code | 54 |
32158916422 | #-*- coding: utf8 -*-
import traceback
import urllib
import datetime
import jieba
import requests
import json
import codecs
import sys
reload(sys)
sys.setdefaultencoding('utf8')
from pymongo import MongoClient
#from pyspark import SparkContext
def dump_pvlog_browser():
try:
filename = 'browser.out'... | solaris-meng/ys-analyses | mongodb_dump_browser.py | mongodb_dump_browser.py | py | 2,619 | python | en | code | 0 | github-code | 54 |
36731009955 | #https://www.acmicpc.net/problem/11727
# 재귀함수 호출 방법1 - Recursion Error 발생
# def step(n): #fail
# if n not in memo:
# memo[n] = step(n-1) + 2*step(n-2)
# return memo[n]
def solve():
n = int(input())
# 풀이 1. 재귀함수 호출
# global memo
# memo = {1: 1, 2: 3}
# res = step(n)
# 풀이 2... | YHsla/YHsla | BackJoon/ans_11727_YH.py | ans_11727_YH.py | py | 640 | python | en | code | 0 | github-code | 54 |
41766773284 |
import random
import numpy as np
import torch
from torchtext import data
from torchtext import datasets
import params as P
def fetch_data():
random.seed(P.configure()['seed'])
np.random.seed(P.configure()['seed'])
torch.manual_seed(P.configure()['seed'])
torch.backends.cudnn.deterministic = True
... | FinchMF/CNN_Text_Classification | CNN_Text-binary/classifier/dataset.py | dataset.py | py | 1,804 | python | en | code | 0 | github-code | 54 |
26011281880 | # Check if given char is vowel or consonant
import re
vowel_list=['a','e','i','o','u','A','E','I','O','U']
ch=input("Enter the chracter :")
if re.search("[a-z]", ch) or re.search("[A-Z]", ch):
if ch in vowel_list:
print(ch, "vowel")
else:
print(ch, "Consonat")
else:
print("Invalid input")
| Shivkpra/Python_Assignment_Program | Question_72(input and output).py | Question_72(input and output).py | py | 320 | python | en | code | 0 | github-code | 54 |
18197474858 | from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from backend.socket_chat.consumers.base import BaseConsumer, private
from backend.socket_chat.mixins.events_db import EventsDBMixin
class EventsMixin(EventsDBMixin, BaseConsumer):
def setup(self, meta):
... | smartblack24/ChatApp | backend/socket_chat/mixins/events.py | events.py | py | 6,776 | python | en | code | 0 | github-code | 54 |
17121022935 | import requests
from datetime import datetime
pixela_endpoint = "https://pixe.la/v1/users"
params = {
"token": "1298gr9()9Yjhoefw@",
"username": "harigaze",
"agreeTermsOfService": "yes",
"notMinor": "yes"
}
#
# response = requests.post(url= pixela_endpoint, json=params)
# print(response.text)
graph_e... | dlrkd1239/Practicing-Python | Udemy/Day_37/main.py | main.py | py | 1,106 | python | en | code | 0 | github-code | 54 |
12203493057 | from sys import stdin as si
from typing import List
class OrangeAteOrenge:
def __init__(self):
self._input_string_length = int(si.readline().rstrip("\n"))
self._input_string = si.readline().rstrip("\n")
self._vitamin_string_amount = 0
self._part_string_list = []
self.FindVi... | ABER1047/BaekJoon-Study | [Source_Code] APSODE/AGCU_/QuestionD.py | QuestionD.py | py | 1,755 | python | en | code | 2 | github-code | 54 |
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