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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
73519498715 | ####################################################################################################################################
# Mocked Environmental Sensor
#
# Used for testing or when not all devices are available in hardware
#
# Create an instance of this class, and specify which of the three parameters you wa... | motley197/brian | uPython/polytunnel/MockedEnvSensor.py | MockedEnvSensor.py | py | 5,418 | python | en | code | 1 | github-code | 50 |
41152371765 | #Задание 1
#Случайная непрерывная величина A имеет равномерное распределение на промежутке (200, 800)
#Найдите ее среднее значение и дисперсию.
# промежуток
a=200
b=800
# Мат ожидание и дисперсия для равномерного распределения
M=(a+b)/2
D=(b-a)**2/12
print(f'Среднее значение: {M}\n\
Дисперсия: {D}') | eterity88/DZ_4_teover | 1.py | 1.py | py | 497 | python | ru | code | 0 | github-code | 50 |
70624133596 | import sys
import os
import SimPy.SimulationTrace as sim
class Car(sim.Process):
def __init__(self, name, cc):
sim.Process.__init__(self, name=name)
self.cc = cc
def go(self):
print("{0} {1} Starting".format(sim.now(), self.name))
yield sim.hold, self, 100.0
print("{0} {1} Arrived".format(sim.now(), sel... | kubkon/Phd-python | Simulation/sim1.py | sim1.py | py | 572 | python | en | code | 1 | github-code | 50 |
28051108667 | import matplotlib.pyplot as plt
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
# importer la data
data=pd.read_csv('Produit_acheter.csv')
print(da... | BENOUSSAIDarezkimalek/python_project | Regression_logistique.py | Regression_logistique.py | py | 2,597 | python | fr | code | 0 | github-code | 50 |
23602634263 | """Tests for the UWS job manipulation handlers.
These tests don't assume any given application, and therefore don't use the
API to create a job, instead inserting it directly via the UWSService.
"""
from __future__ import annotations
from datetime import timedelta
import pytest
from dramatiq import Worker
from fast... | lsst-sqre/ivoa-cutout-poc | tests/uws/job_api_test.py | job_api_test.py | py | 6,151 | python | en | code | 0 | github-code | 50 |
25903350879 | from setuptools import setup
from channelbindjs import VERSION
import os
with open(os.path.join(os.path.dirname(__file__), 'README.md')) as readme:
README = readme.read()
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
setup(
name='chann... | moaxey/ChannelBindJS | setup.py | setup.py | py | 1,436 | python | en | code | 1 | github-code | 50 |
11626573921 | import torch
import torch.distributed as dist
import torch.nn as nn
from brt.runtime.benchmark import BenchmarkArgumentManager, ResultWriter
from brt.runtime.placement import dump_decision
from modeling_bert_generation import BertGenerationConfig, BertGenerationDecoder
from transformers import BertGenerationTokenizer
... | Raphael-Hao/brainstorm | benchmark/task_moe/benchmark.py | benchmark.py | py | 6,790 | python | en | code | 26 | github-code | 50 |
26563684006 | from nipype.interfaces.base import BaseInterfaceInputSpec, BaseInterface, File, TraitedSpec, traits
from nipype import Node
from panpipelines.utils.util_functions import *
from panpipelines.utils.transformer import *
import os
import glob
import nibabel as nb
from nipype import logging as nlogging
IFLOGGER=nlogging.ge... | MRIresearch/PANpipelines | src/panpipelines/nodes/atlascreate.py | atlascreate.py | py | 4,107 | python | en | code | 0 | github-code | 50 |
40239391145 | """This file performs PCA on the embeddings and plots the results.
"""
import os
import numpy as np
from sklearn.decomposition import PCA
from sklearn.svm import LinearSVC
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from tabulate import tabulate
import pandas as pd
from sklearn.... | magnusgp/LLAR | yamnet/PCA.py | PCA.py | py | 17,201 | python | en | code | 1 | github-code | 50 |
7285094270 | import pickle
import pykeen
from pykeen.datasets.base import PathDataset
import torch
from torch.optim import Adam
from pykeen.training import SLCWATrainingLoop,LCWATrainingLoop
from pykeen.evaluation import RankBasedEvaluator
import os
import numpy as np
from pykeen.models import ConvE,TransE,TransD,TransH,TransR,KG2E... | PKU-BDBA/HMKG-Progress | HMKG/hmkg/KGE/construct_triples.py | construct_triples.py | py | 10,121 | python | en | code | 1 | github-code | 50 |
8462259752 | import numpy as np
np.random.seed(0)
def create_data(points, classes):
X = np.zeros((points*classes, 2))
y = np.zeros(points*classes, dtype='uint8')
for class_number in range(classes):
ix = range(points*class_number, points*(class_number+1))
r = np.linspace(0.0, 1, points)
t = np.... | CocolinoFan/Learning | NeuralNetwork/Neural_Networks_from_Scratch_P_5.py | Neural_Networks_from_Scratch_P_5.py | py | 1,184 | python | en | code | 0 | github-code | 50 |
33306271149 | """
Converter for dicom and nifti import.
Convert dicom to nifti.
Get the main modals using NiftiGetter, which is based on globbing.
Inherite NiftiGetter to use with specific converted raw nifti data.
"""
import os
import subprocess
import fnmatch
import logging
import pydicom
from mmdps import rootconfig
from mmdp... | geyunxiang/mmdps | mmdps/dms/converter.py | converter.py | py | 3,644 | python | en | code | 4 | github-code | 50 |
6597578574 | # -*- coding: utf-8 -*-
import uuid
"""
Classes for Route 53 domains.
James Reed jdreed1954@hotmail.com
Cell: 303-570-4927
Centennial Data Science
"""
class DomainManager:
"""Manage a Route 53 domain."""
def __init__(self, session):
"""Create DomainManager object.""... | reed54/route53 | aState/domain.py | domain.py | py | 3,937 | python | en | code | 0 | github-code | 50 |
42201942444 | import numpy as np
import datetime
import itertools
import pickle
from collections import Counter
import re
"""
Code adapted from https://github.com/dennybritz/cnn-text-classification-tf
"""
def clean_str(string):
"""
Tokenization/string cleaning for input.
Originally taken from https://github.com/yoonkim/... | jimmec/tensorflow-demo | data_helper.py | data_helper.py | py | 5,772 | python | en | code | 2 | github-code | 50 |
12900342798 | #coding=utf-8
"""Train DCGAN"""
import glob
import numpy as np
from scipy import misc
import tensorflow as tf
from DCGAN import *
#Hyperparameter
EPOCH = 100
BATCH_SIZE = 128
LEARNING_RATE =0.0002
Beta_1 = 0.5
def train():
#获取训练数据
data = []
for image in glob.glob("image/*"):
image_data =misc.imread... | Jumponthemoon/DeepLearning_GAN | train.py | train.py | py | 2,567 | python | en | code | 0 | github-code | 50 |
1581667461 | # -*- coding: utf-8 -*-
from utils import fields
from utils import validate
from module.common import GetResource
from module.common import field_inputs_wrap as _field_inputs_wrap
from module.common import field_inputs_ref as _field_inputs_ref
from module.common import field_inputs as _field_inputs
from module.common... | arvin-chou/mc | module/customer/business_valid.py | business_valid.py | py | 7,332 | python | en | code | 0 | github-code | 50 |
40091656390 | from __future__ import print_function
import ROOT
ROOT.gROOT.SetBatch(True)
from setTDRStyle import setTDRStyle
from granularity import *
import os
try:
base = os.environ['CMSSW_BASE']
except KeyError:
base = "../../../../.."
# 2016 is missing here
lumiFiles = {
2016: "{base}/src/Alignment/APEEstimation/d... | cms-sw/cmssw | Alignment/APEEstimation/test/plottingTools/trendPlotter.py | trendPlotter.py | py | 10,561 | python | en | code | 985 | github-code | 50 |
71090059675 |
# base class
from Code.dataset.dataloader import Loader
# data manipulation and tools
import numpy as np
from Code.dataset.DataModel import *
import os
# shifts libraries
from ysdc_dataset_api.dataset import MotionPredictionDataset
from ysdc_dataset_api.features import FeatureRenderer
from ysdc_dataset_api.utils imp... | Juan-Baldelomar/Vehicle_Trajectory_Forecasting | Code/dataset/shifts_dataloader.py | shifts_dataloader.py | py | 4,816 | python | en | code | 5 | github-code | 50 |
7521405350 | import os
import numpy as np
import pandas as pd
import re
import tsaug
from tsaug.visualization import plot
'''
Segmentation of time series and addition of noise
'''
old_path = './data_fMRI'
save_path = 'data_augm'
for root_dir, sub_dirs, _ in os.walk(old_path):
for sub_dir in sub_dirs:
... | GraphW/LGSL | augmentation.py | augmentation.py | py | 2,139 | python | en | code | 1 | github-code | 50 |
39754220100 | import matplotlib.pyplot as plt
from statistics import mean, stdev
from sys import argv
from glob import glob
import csv
__author__ = "Garance Gourdel, Pierre Peterlongo"
__email__ = "pierre.peterlongo@inria.fr, garance.gourdel@inria.fr"
def reorder(x, y_dict):
sorted_y = dict()
for k, y in y_dict.items():
... | fnareoh/DTW | src/experiments/plot.py | plot.py | py | 7,939 | python | en | code | 1 | github-code | 50 |
26440358305 | import sys
input = sys.stdin.readline
n = int(input())
monkeys = list(map(int, input().split()))
sum_monkeys = sum(monkeys)
total = int(input())
if total >= sum_monkeys:
print(max(monkeys))
else:
x = total // n
def over_check(total, monkeys, x):
for i in monkeys:
if i >= x:
... | mskyun721/algorithm_practice | aivle_coding_master/4271.py | 4271.py | py | 625 | python | en | code | 0 | github-code | 50 |
17438106411 | import numpy as np
coef = np.zeros((3,3))
rhs = np.zeros((3,1))
for i in range(3):
for j in range(3):
coef[i][j] = int(input(f"Input C{i*4+j+1}: "))
rhs[i][0] = int(input(f"Input C{(i+1)*4}: "))
print()
try:
ans = np.matmul(np.linalg.inv(coef),rhs)
print("Solution:")
print(f"x =... | HiMAIayas/SIIT_Lab | GTS123 (Intro To ComProg)/lab10 (np linalg)/lab10_2.py | lab10_2.py | py | 456 | python | en | code | 0 | github-code | 50 |
35952217100 |
import numpy as np
from .common import convert_orientation, compute_theta, angles_difference
class MoveMPC(object):
def __init__(self, frame, max_speed):
self._frame = frame
self._horizon = 10
self._dt = 0.1
speed_bounds = [(0, max_speed) for _ in range(self._horizon)]
... | kantengri/mown-project | planning/move_controller/src/move_controller/move_mpc.py | move_mpc.py | py | 4,374 | python | en | code | 3 | github-code | 50 |
71023219997 | #!/usr/bin/env python3
import requests
from bs4 import BeautifulSoup
import sys
import string
import random
import argparse
from termcolor import colored
PROXS = {'http':'127.0.0.1:8080'}
PROXS = {}
def random_string(stringLength):
letters = string.ascii_lowercase
return ''.join(random.choice(lett... | DawnFlame/POChouse | Joomla/Joomla 3.4.6-RCE（CVE-2015-8562）/Joomla-3.4.6-RCE.py | Joomla-3.4.6-RCE.py | py | 7,410 | python | en | code | 896 | github-code | 50 |
25329146087 | from pages.CheckoutCompletePage import CheckoutCompletePage
from pages.CheckoutInformationPage import CheckoutInformationPage
from pages.CheckoutOverviewPage import CheckoutOverviewPage
from pages.YourCart import YourCart
class Test_5:
def test_finalizar_compra(self, add_product_to_cart):
products_page =... | WillamsPinto/ETA-TestesDeSistema | ETA2022.1/tests/test_5.py | test_5.py | py | 1,948 | python | pt | code | 0 | github-code | 50 |
553600491 | # Definition for a Node.
class Node(object):
def __init__(self, val, children):
self.val = val
self.children = children
class Solution(object):
def postorder(self, root):
"""
Given an n-ary tree, return the postorder traversal of its nodes' values.
For example, given a... | ljia2/leetcode.py | solutions/tree/590.N-ary.Tree.Postorder.Traversal.py | 590.N-ary.Tree.Postorder.Traversal.py | py | 939 | python | en | code | 0 | github-code | 50 |
42217001137 | from gurobi_inference import Relation_Inference
from collections import Counter
import copy
def calculate_prob(class_counts, threshold=100):
total_counts = sum(class_counts)
if total_counts < threshold: return [0.0]*len(class_counts)
else: return [x / total_counts for x in class_counts]
def define_pri... | rujunhan/EMNLP-2020 | code/tbd/LROptimization.py | LROptimization.py | py | 5,906 | python | en | code | 6 | github-code | 50 |
16573502870 | import copy
from mindspore import Tensor
import mindspore as ms
import numpy as np
from .epsilon_schedules import DecayThenFlatSchedule
REGISTRY = {}
class MultinomialActionSelector():
def __init__(self, args):
self.args = args
self.schedule = DecayThenFlatSchedule(args.epsilon_start, args.eps... | allyouneeds/QMIX-MindSpore | qmix/ascend_src/components/action_selectors.py | action_selectors.py | py | 2,947 | python | en | code | 0 | github-code | 50 |
18553143692 | import numpy as np
import math
import matplotlib.pyplot as plt
def fun(x):
return 1/(25*(x**2) + 1)
'''
def myLagrange(xi: list, yi: list, data: list):
wyn = [0]*len(data)
for j in range(len(yi)):
wzr = yi[j]
for i in range(len(xi)):
if xi[i] - xi[j] != 0:
... | WykwalifikowanyProgramista7000/Numerki | spyder/lab5.py | lab5.py | py | 1,209 | python | en | code | 0 | github-code | 50 |
27670261237 | import nlp
import torch
from numpy import mean
from transformers import PreTrainedTokenizerBase
from Code.Model.bert_embedder import TooManyTokens
from Code.Utils.dataset_utils import get_wikipoints
from Code.Utils.eval_utils import get_acc_and_f1
from Config.options import max_examples
_test = None
def get_test(to... | shaneacton/GraphPerceiver | Code/Training/eval.py | eval.py | py | 1,252 | python | en | code | 0 | github-code | 50 |
75170123355 | import logging
from logging import config as logging_config
from secrets import token_hex
from typing import Optional
from core.config import CONFIG
class RequestIdFilter(logging.Filter):
"""A class for an additional log message filter to add request ID information to the log messages."""
def __init__(self,... | temirovazat/cinemax-async-api | backend/src/core/logger.py | logger.py | py | 2,723 | python | en | code | 0 | github-code | 50 |
9108268634 |
import os
import time
"""
Graphics in the console with Python.
"""
class ConsoleDisplay:
def __init__(self, wt: int, ht: int, char='█'):
self.wt = wt
self.ht = ht
self.char = char
self.surfaceStr = char * wt
self.draw_coords = []
def draw_surface(self):
for i in range(self.ht):
self.surfac... | SeanJxie/practice-programs | SingleFilePython/console_screen.py | console_screen.py | py | 1,246 | python | en | code | 1 | github-code | 50 |
1706055791 | from torch.utils.data import Dataset
import os,sys
sys.path.append('../')
import settings
import torch
import pandas as pd
import numpy as np
import cv2
from PIL import Image
from imgaug import augmenters as iaa
from sklearn.model_selection import KFold
config=settings.config
np.random.seed(8)
def ov... | espectre/kaggle_Human-Protein-Atlas-Image-Classification | pytorch/Data.py | Data.py | py | 5,423 | python | en | code | 0 | github-code | 50 |
12091392547 | fav1 = ['pizza', 'nuggets', 'hotdog', 'noodles', 'pasta', 'burger']
fav2 = ['burger', 'hotdog', 'noodles', 'pasta', 'nuggets', 'pizza']
# find the min sum of indices for corresponding food in fav1 and fav2
# for example, pizza is at index 0 in fav1 and at index 5 in fav2
# so the sum of indices for pizza is 5
index... | Altmerian/learn-python | lists/favourite_food.py | favourite_food.py | py | 579 | python | en | code | 0 | github-code | 50 |
11661296522 | """Test suite for the management command sync_group_permissions."""
from django.core.management import call_command
from django.test import TestCase, override_settings
from machina.apps.forum_permission.shortcuts import assign_perm
from machina.core.db.models import get_model
from ashley.factories import ForumFactory... | openfun/ashley | tests/ashley/management/commands/test_sync_group_permissions.py | test_sync_group_permissions.py | py | 5,009 | python | en | code | 11 | github-code | 50 |
10418957717 | from datetime import datetime, timedelta
import pandas as pd
from binance.client import Client as BinanceClient
from utils.secrets import get_binance_secret
interval_mapping = {
"1MINUTE": BinanceClient.KLINE_INTERVAL_1MINUTE,
"3MINUTE": BinanceClient.KLINE_INTERVAL_3MINUTE,
"5MINUTE": BinanceClient.KLINE... | c4road/wp-bot-cdk | wp-sns-lambda/services/binance.py | binance.py | py | 7,189 | python | en | code | 0 | github-code | 50 |
74536154715 | from scapy.all import Dot11, RadioTap, sendp
from random import randint
dot11 = Dot11(type=2, subtype={SUBTYPE}, FCfield={FCf}, addr1={DESTINATION_MAC}, addr2={SOURCE_MAC}, addr3={AP_MAC}, SC={SC}, addr4={SOURCE_MAC})
MAC_header = RadioTap()/dot11
payload = {SEED}
frame = MAC_header / payload
print('\n- - - - - - - ... | efchatz/WPAxFuzz | exploits/exploit_data.py | exploit_data.py | py | 484 | python | en | code | 120 | github-code | 50 |
3144955621 | #!/usr/bin/env python
import rospy
from blockChainPack_.msg import lastHash
nodeList = ['NODE1', 'NODE2', 'NODE3']
nodeONOFF = [1,0,0]
oldNodeONOFF = [0,0,0]
def callback(data):
if data.nodeName in nodeList:
nodeONOFF[nodeList.index(data.nodeName)] = 1
print(nodeONOFF)
def main():
rospy.Subscr... | willdavis576/BlockChainResearch | 00blockChain_ws/src/blockChainPack_/src/scripts/Unused Currently/authentication1.py | authentication1.py | py | 845 | python | en | code | 0 | github-code | 50 |
18741540647 | # import spidevRead as sr
import time
import serial
import dbConn as dC
ser = serial.Serial('/dev/ttyAMA0', 9600, timeout=1)
while True:
data = ser.readline().decode() # read the data from the serial port and decode it
if "temperature:" in data:
temperature = int(data.split... | CoreanAnt/iot_project | PyQT/etc/sensordb/ex11_sensorDB.py | ex11_sensorDB.py | py | 1,268 | python | en | code | 0 | github-code | 50 |
33599419364 | from django.shortcuts import render
from .updateTables import updateTables
from .models import parkingLot, parkingSpot
import json
from django.core.serializers.json import DjangoJSONEncoder
from django.http import JsonResponse
from datetime import datetime, timezone
from django.views.decorators.cache import neve... | RamseyV/Parking | views.py | views.py | py | 2,940 | python | en | code | 0 | github-code | 50 |
23792666625 | class Solution:
def maxProfit(self, prices: List[int]) -> int:
min = 999999
max = 0
for i in range(len(prices)):
if prices[i] <= min:
min = prices[i]
if prices[i] - min > max:
max = prices[i] - min
return max
class Solution:
... | innjuun/Algorithm | LeetCode/easy/121.py | 121.py | py | 706 | python | en | code | 2 | github-code | 50 |
13885453082 | # -*- coding: utf-8 -*-
import scrapy
from bookparser.items import BookparserItem
class LabirintSpider(scrapy.Spider):
name = 'labirint'
allowed_domains = ['labirint.ru']
# Поисковый запрос - программирование
start_urls = ['https://www.labirint.ru/search/%D0%BF%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%B... | sokolenkomikhail/data_collection | lesson_06/bookparser/spiders/labirint.py | labirint.py | py | 1,696 | python | en | code | 0 | github-code | 50 |
10965043853 | from modulos.bd.servicios import Servicios_BD
from modulos.base.modelo import ModeloBase
from modulos.base.servicios import ServiciosBase
#cli_services=CLIservices()
#cliente_n1=cli_services.prompt_cliente()
base_datos=Servicios_BD()
conexion=base_datos.conexion_bd()
Servicios_Base=ServiciosBase()
"""
-tenemos obj... | RocioDure12/Tienda_app | main.py | main.py | py | 1,647 | python | es | code | 0 | github-code | 50 |
3436893210 | import spacy
nlp = spacy.load('en_core_web_md')
description = """Will he save
their world or destroy it? When the Hulk becomes too dangerous for the
Earth, the Illuminati trick Hulk into a shuttle and launch him into space to a
planet where the Hulk can live in peace. Unfortunately, Hulk land on the
planet Saka... | Yelya8/Watch_next.py | watch_next.py | watch_next.py | py | 1,689 | python | en | code | 0 | github-code | 50 |
74067656154 | from typing import Dict, List, Union
from multimodal_challenge.multimodal_object_init_data import MultiModalObjectInitData
class DatasetTrial:
"""
Parameters for defining a trial for dataset generation.
"""
def __init__(self, target_object: MultiModalObjectInitData, force: Dict[str, float],
... | chuangg/find_fallen_objects | docker/multimodal_challenge/dataset/dataset_trial.py | dataset_trial.py | py | 2,192 | python | en | code | 6 | github-code | 50 |
26148197365 | from math import log,exp,ceil
from sys import stdin
r = stdin.readline
n = r().strip()
eps = 1e-6
while n!="":
n = int(n)
p = int(r().strip())
try:
sol = exp(log(p)/n)
csol = ceil(sol)
if csol-sol<eps:
print(csol)
else:
print(round(sol))
e... | michaelgy/PROBLEMS_PROGRAMMING | UVA/113.py | 113.py | py | 375 | python | en | code | 0 | github-code | 50 |
36537975361 | from bottle import route, run, request, response, HTTPResponse
from rembg import remove
import io
import json
import tempfile
import os
@route('/detourer_image', method='POST')
def detourer_image():
if 'image' not in request.files:
error_response = {'error': 'Pas d\'image envoyée'}
return HTTPRespo... | SCcagg5/remove_background | api.py | api.py | py | 1,008 | python | en | code | 0 | github-code | 50 |
75165252956 | from MachineLearning.DT_Model.CART import LeafNode
from MachineLearning.DT_Model.CART import TreeNode
from MachineLearning.DT_Model.CART import CART
import random
import matplotlib.pyplot as plt
import numpy as np
class Forest:
def __init__(self, frame, col):
self.set = []
self.frame = frame
... | Y-J-9/MachineLearning | RF_Model/random_forest.py | random_forest.py | py | 6,350 | python | en | code | 0 | github-code | 50 |
9309106724 | import io
import discord
from discord import app_commands
from discord.ext import commands, tasks
from discord.ui import Select, View
from files import texts, goobers, lang_codes, quote_translation
import requests
import random
from datetime import datetime
import pytz
from PIL import Image, ImageDraw
import inflect
im... | s00240122/Python-tings | YTTutorialDiscBot/slash_bot.py | slash_bot.py | py | 11,903 | python | en | code | 0 | github-code | 50 |
11982603493 | #Cryptographie appliquée
#Projet n°2: PKI et Python
#Auteur: Guillaume Paris
#Date: 07-11-2022
#Description: Ce programme permet de créer une autorité racine, une autorité d'enregistrement et un certificat client signé par l'autorité racine et l'autorité d'enregistrement.
import datetime
import os
from cryptography.h... | Tr0llope/PKI_Python | ProjetCryptoV1-0.py | ProjetCryptoV1-0.py | py | 4,477 | python | en | code | 0 | github-code | 50 |
34884744439 | # -*- coding: utf-8 -*-
# @Time : 2021/9/12 11:03
# @Author : XDD
# @File : 可呼唤矩形的组数.py
from functools import reduce
class Solution:
def interchangeableRectangles(self, rectangles) -> int:
# 哈希，依次遍历计算长宽比
dic = {} # key:为长宽比，value为个数，通过计算排列组合数得到最终的结果
n = len(rectangles)
for i in ra... | Dong98-code/leetcode | codes/competition/可呼唤矩形的组数.py | 可呼唤矩形的组数.py | py | 1,047 | python | en | code | 0 | github-code | 50 |
1168399995 | from molsysmt._private.digestion import digest
@digest(form='openmm.Modeller')
def to_openmm_System(item, atom_indices='all', structure_indices='all',
forcefield=None, non_bonded_method='no_cutoff', non_bonded_cutoff='1.0 nm', constraints=None,
rigid_water=True, remove_cm_moti... | uibcdf/MolSysMT | molsysmt/form/openmm_Modeller/to_openmm_System.py | to_openmm_System.py | py | 1,268 | python | en | code | 11 | github-code | 50 |
16477507408 | from gi.repository import Gtk
import gettext
import locale
import os
import logging
import sys
from gtkbasebox import GtkBaseBox
# Useful vars for gettext (translations)
APP_NAME = "thus"
LOCALE_DIR = "/usr/share/locale"
import misc.i18n as i18n
class Language(GtkBaseBox):
def __init__(self, params, prev_page=... | manjaro/thus | thus/language.py | language.py | py | 5,536 | python | en | code | 24 | github-code | 50 |
21355271077 | """
Author(s):
Miguel Alex Cantu
Date: 04/21/2020
Description:
This function will return a dictionary of all the users
in the tenant, indexed by userPrincipalName
"""
# Imports
from make_request import paginate
from test_cases import TestCases
# Variables
# This query fetches all of the users along with th... | alextricity25/AzurePythonScripts | list_all_users.py | list_all_users.py | py | 1,224 | python | en | code | 1 | github-code | 50 |
23136949539 | """
使用selenium破解豆瓣滑块验证码
"""
from selenium import webdriver
# 导入鼠标事件类
from selenium.webdriver import ActionChains
import time
# 加速度函数
def get_tracks(distance):
"""
拿到移动轨迹，模仿人的滑动行为，先匀加速后匀减速
匀变速运动基本公式：
①v=v0+at
②s=v0t+½at²
"""
# 初速度
v = 0
# 单位时间为0.3s来统计轨迹，轨迹即0.3内的位移
t = 0.3
# 位... | sjk052026/test2020 | spider/day26/doubanSpiderSelenlum.py | doubanSpiderSelenlum.py | py | 2,676 | python | zh | code | 0 | github-code | 50 |
15675857824 | #!/usr/bin/env python
import json
import logging
from gi.repository import WebKit
from gi.repository import GObject
class Browser(GObject.GObject):
"""Webkit browser wrapper to exchange messages with Gtk.
:param uri: URI to the HTML file to be displayed.
:type uri: str
"""
__gsignals__ = {
... | jcollado/pygtk-webui | browser.py | browser.py | py | 1,769 | python | en | code | 4 | github-code | 50 |
13039300169 | #Import tkinter for GUI libraries
import tkinter as Tkinter
from tkinter import *
import string
#Import tkMessageBox for information and help message box
import tkinter.messagebox as tkMessageBox
def helpMsg():
tkMessageBox.showinfo("About this Software", "This software is is intended to increase proper usage of en... | hmansoori002/GrammerUp | GrammerUp.py | GrammerUp.py | py | 17,985 | python | en | code | 0 | github-code | 50 |
7369861512 |
## iterative approach
class node:
def __init__(self,data):
self.data = data
self.next = None
class Linkedlist:
def __init__(self):
self.head = None
def reverseiterative(self,head):
if head == None or head.next == None: return
prev = None
... | sanket1105/DSA-with-Python | DSA/LinkedLists/ReverseLinkedList.py | ReverseLinkedList.py | py | 1,160 | python | en | code | 16 | github-code | 50 |
21167839945 | from matplotlib import pyplot as plt
plt.figure(figsize=(5, 2.5))
distance = 0
velocity = 50
a = -9.8
def integrate_dist ():
max_height = 0
global distance
global a
global velocity
for t in range (0,100,1):
distance += velocity
if (max_height < distance):
max_height = distance
if(dista... | smkim0508/Engineering_Applications_Prog | Ballistics_1_4.py | Ballistics_1_4.py | py | 654 | python | en | code | 0 | github-code | 50 |
30485090726 | '''
수강신청 실패를 만회하기 위해 제작하였습니다.
제작자: 박결
최종 업데이트: 2023-02-06
기능 1. 수강바구니에 담긴 과목들을 자동으로 새로고침하며 수강신청을 시도합니다.
기능 2. (선택) 수강신청이 성공할 경우 슬랙봇을 통해 사실을 알려줍니다.
'''
from selenium import webdriver
from selenium.webdriver.common.by import By
import chromedriver_autoinstaller
import requests
import time
import json
import os
from u... | kyeul611/Automation_repo | 수강신청_매크로/getCourses.py | getCourses.py | py | 7,357 | python | ko | code | 0 | github-code | 50 |
25535630570 | words = [
'engender',
'karpatka',
'othellolagkage',
'ptolemaic',
'retrograde',
'supplant',
'undulate',
'xenoepist',
'abberation',
]
def get_rotating_point_idx_simple(l):
# linear
prev = None
for idx, item in enumerate(l):
if prev and item < prev:
ret... | trueneu/algo | interviewcake/rotating_point.py | rotating_point.py | py | 1,158 | python | en | code | 0 | github-code | 50 |
42000639061 | from Explainer import explainer
from VGG import vgg
from ResNet50Mod import resnet50
from tensorflow.keras.utils import plot_model
from tensorflow.keras import layers as KL
from tensorflow.keras.models import Model
import os
import matplotlib.pyplot as plt
class ExplainerClassifierCNN:
""" ExplainerClassifierCNN ... | icrto/xML | Keras/ExplainerClassifierCNN.py | ExplainerClassifierCNN.py | py | 6,917 | python | en | code | 10 | github-code | 50 |
39545271542 | from astropy.coordinates import SkyCoord
from astropy.units import Quantity
class Region:
"""
This is the base class for describing a region.
You must specify the diameter (diam) or
the height and width of the region but not both at the same time.
Args:
name (str): The name of the region... | cdalvaro/decocc | cdalvaro/models/region.py | region.py | py | 2,226 | python | en | code | 0 | github-code | 50 |
39321151581 | from client import *
import signal
client = CrypticClient(log_level=logging.INFO)
client.URI = "ws://localhost:8000"
client.start_client()
def receiver(json: Json):
print(json)
def action():
action = "signup"
client.add_receiver(action, receiver)
json = Json(action=action, id="mimi", key="prmp")
... | prmpsmart/cryptic | main_client.py | main_client.py | py | 938 | python | en | code | 0 | github-code | 50 |
13120989975 | from flask import Flask
import RPi.GPIO as GPIO
Rled = 4; Bled = 5
GPIO.setmode(GPIO.BCM)
GPIO.setup(Rled, GPIO.OUT)
GPIO.setup(Bled, GPIO.OUT)
app = Flask(__name__)
@app.route("/")
def mainPage():
return '''
<h1> Main Page </h1>
<h2> RED LED <a href="led/red/on">on</a> <a href="/l... | tldus2355/2021-IoT-Project | 07_web/flask_led_task.py | flask_led_task.py | py | 1,501 | python | en | code | 0 | github-code | 50 |
2392266684 | def getStudentNames():
studentsList = []
for i in range(0,12):
print(i)
studentName = str(input("Enter the student's name: "))
studentsList.append(studentName)
return studentsList
def getAlphabeticalList(tempList):
tempList.sort
alphabeticalList = tempList
return alphab... | Loganphx/ProgrammingFundamentalsI | Lab 7/logan_ingram_lab7b.py | logan_ingram_lab7b.py | py | 1,216 | python | en | code | 0 | github-code | 50 |
11269807288 | import pandas as pd
from pandas import Series, DataFrame
import numpy as np
obj = Series([4.5, 7.2, -5.3, 3.6], index=['d', 'b', 'a', 'c'])
obj
obj2 = obj.reindex(['a', 'b', 'c', 'd', 'e'], fill_value=0)
obj2
obj3 = Series(['blue', 'purple', 'yellow'], index=[0, 2, 4])
obj3
obj3.reindex(range(6))
obj3.reindex(range(6... | epicarts/python3_practice | data_analysis/essential_pandas.py | essential_pandas.py | py | 7,119 | python | ko | code | 0 | github-code | 50 |
8193695529 | from django.shortcuts import render
from rest_framework import viewsets
from rest_framework.permissions import IsAuthenticated
import os
from .serializers import *
from django.core.files import File
from django.conf import settings
from rest_framework.response import Response
from django.http import HttpResponse
impor... | carryuteam/CarryU-API | fileupload/views.py | views.py | py | 1,717 | python | en | code | 0 | github-code | 50 |
21558532856 | from sqlalchemy import exc
from sqlalchemy import ForeignKey
from sqlalchemy import Integer
from sqlalchemy import select
from sqlalchemy import String
from sqlalchemy import testing
from sqlalchemy.orm import backref
from sqlalchemy.orm import defaultload
from sqlalchemy.orm import joinedload
from sqlalchemy.orm impor... | jorgemorgado/sqlalchemy | test/orm/inheritance/test_poly_loading.py | test_poly_loading.py | py | 31,456 | python | en | code | 1 | github-code | 50 |
30688863609 | import numpy as np
import scipy.io as scio
# 本地地址：D:\FluidSim\FluidSim\FEMNEW\Navier-stokes-Satsit14master
tmax = 100
celem = scio.loadmat('celem.mat')['celem'] - 1
node = scio.loadmat('node.mat')['node']
nmax = 341
u0 = np.ones((nmax))
v0 = np.zeros((nmax))
numOfElements = 100
for t in range(0,tmax):
... | clatterrr/NumericalComputation | FiniteElement/NavierStokes-satsit/demo0.py | demo0.py | py | 4,724 | python | en | code | 3 | github-code | 50 |
28418624655 | S = input()
T = input()
list = []
for i in range(len(S)):
list.append(S[0:i] + S[i + 1:])
c = 0
for l in list:
if T == l:
c += 1
print(c)
| mk668a/python_aoj | ateamTest/ateam2.py | ateam2.py | py | 154 | python | en | code | 0 | github-code | 50 |
13293220023 | import numpy
import PIL
def draw_boxes(img, boxes, digits, digit_width, digit_height):
img_out = img.copy()
draw = PIL.ImageDraw.Draw(img_out)
for i in range(len(boxes)):
color = numpy.random.randint(0, 255, 3)
x = boxes[i]
draw.polygon([
(x-digit_width/2, 3),
... | nagos/captcha-yolo | utils.py | utils.py | py | 1,372 | python | en | code | 4 | github-code | 50 |
70579723675 | import os
import numpy as np
import threading as thr
import matplotlib.pyplot as plt
from sklearn .model_selection import train_test_split
from sklearn .metrics import roc_curve, auc
from keras.models import Sequential
from keras.layers import Conv2D, BatchNormalization, MaxPool2D, Dense, Flatten, InputLayer, Activatio... | bitgio/CMEPDA_final_project | cnn_original.py | cnn_original.py | py | 5,367 | python | en | code | 0 | github-code | 50 |
2794402768 | import argparse
import os
import numpy as np
import torch
import DDPG
import utils
import environment
def whiten(state):
return (state - np.mean(state)) / np.std(state)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
# Choose the type of the experiment
parser.add_argument('--experim... | baturaysaglam/RIS-MISO-Deep-Reinforcement-Learning | main.py | main.py | py | 6,892 | python | en | code | 77 | github-code | 50 |
29943658246 | import torch
from torch import nn
from torch.nn import functional as F
class Residual(nn.Module):
def __init__(self, input_channels, num_channels, use_1x1conv=False, padding=1, strides=1):
super().__init__()
self.conv1 = nn.Conv2d(input_channels, num_channels, kernel_size=3, stride=strides, paddin... | Arni14/Deep-Learning | modern_architectures/resnet.py | resnet.py | py | 2,032 | python | en | code | 0 | github-code | 50 |
70782323675 | # Samuel Hulme
# Cracking the Coding Interview
# Question 1.1
#
# Implement an algorithm to determine if a string has all unique characters. What is you cannot use additional data structures?
#
# Thoughts:
# To implement this, we can use a dictionary. To do this, iterate through the list and then insert the... | shulme33/Programming | Python/cci_1-1.py | cci_1-1.py | py | 3,889 | python | en | code | 0 | github-code | 50 |
39210745835 | from ui_elements import Text, Picture
from config import *
import pygame
import random
class SystemFish:
def __init__(self):
self.timer = 0
self.exists = False
self.delay = None
self.opportunity = None
self.fish_counter = None
self.randomize()
self.fish_al... | Archkitten/CS-AP-2 | p2/flyby_fishing/system_fish.py | system_fish.py | py | 1,399 | python | en | code | 0 | github-code | 50 |
12520662785 | # -*- coding: utf-8 -*-
from django import forms
from django.conf import settings
from django.utils.encoding import force_str
from django.utils import timezone, dateparse
from django.utils.translation import gettext as _
from core import models
# Sets the default Child instance if only one exists in the database.
de... | amcquistan/babyasst | core/forms.py | forms.py | py | 15,304 | python | en | code | 0 | github-code | 50 |
23078030353 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@文件 :CommonUtils.py
@说明 :
@时间 :2021/05/29 15:47:14
@作者 :Oasis
@版本 :1.0
'''
import os
import time
import sys
import h5py
import numpy as np
import skimage.io as io
import torch
import torch.nn as nn
import math
import torch.nn.functio... | Lumos-Leo/SRGFS_test | Utils/CommonUtils.py | CommonUtils.py | py | 29,482 | python | en | code | 0 | github-code | 50 |
10185777640 | from cx_Freeze import setup, Executable
options = dict(
excludes =
['_gtkagg', '_tkagg', 'bsddb', 'email', 'pywin.debugger',
'pywin.debugger.dbgcon', 'pywin.dialogs', 'tcl',
'Tkconstants', 'Tkinter','tk','tkinter','ttk','curses','email',
],
)
exe = ... | bj0/pylans | cxfsetup.py | cxfsetup.py | py | 799 | python | en | code | 6 | github-code | 50 |
34873217783 | #!/usr/bin/env python2
# -*- coding:utf-8 -*-
"""
[NAME]
Scannerクラスの定義
[DESCRIPTION]
Scannerクラスの定義
"""
import datetime
from schema import Scanner, Person, Exp
def start_batch(batch):
dt_start = datetime.datetime.now()
dt_measure = datetime.timedelta(hours=batch.h_scan)
dt_finish = dt_start + dt_measu... | takeriki/colonylive | clive/db/control.py | control.py | py | 1,971 | python | en | code | 0 | github-code | 50 |
30210939337 | # coding=utf-8
import ast
from app import app, db
from flask import request
from functools import wraps
from app.api.utils.utils import BaseUtils
from app.models.base_token import BaseToken
from app.models.base_customer import BaseCustomer
from app.api.utils.responses import BaseResponse
class BaseDe... | IndexOffy/indexoffy_api | indexoffy/app/api/utils/decorators.py | decorators.py | py | 2,831 | python | en | code | 0 | github-code | 50 |
22439653082 | import numpy as np # Numerical Python functions
#GGCACTGAACTGAATACAGC is our sequence: A,C,G,T=0,1,2,3
Seq = [2,2,1,0,1,3,2,0,0,1,3,2,0,1,3,3,0,1,0,2,1] #Sequence
HLSeq = np.zeros((len(Seq),2)) #Store optimal sequences as we progress
HLSeq[:,1] += 1 #Defaults are all low, all high
Hi = [.2,.3,.3,.2] #Probabilities... | chuks-ojiugwo/Implementations-and-Applications-of-Machine-Learning | LaverBrandtThronBudget Reconciliation Through Dynamic Programming/Matrix Gonze-Viterbi.py | Matrix Gonze-Viterbi.py | py | 1,792 | python | en | code | 0 | github-code | 50 |
551370559 | from typing import List, Dict
import string
import re
from collections import Counter
from wordcloud import WordCloud
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer, PorterStemmer
from nltk.tokenize import word... | guybass/sentiment_analysis | eda.py | eda.py | py | 4,830 | python | en | code | 0 | github-code | 50 |
18696574569 | class Node:
def __init__(self,x):
self.l = None
self.r = None
self.d = x
def Insert(node,x):
if node == None:
return Node(x)
if x<node.d:
node.l = Insert(node.l,x)
else:
node.r = Insert(node.r,x)
return node
def IscompleteBinary(node,i,N)... | riteshsethia7/Codes | Trees/Is_Complete_Binary_Tree.py | Is_Complete_Binary_Tree.py | py | 751 | python | en | code | 0 | github-code | 50 |
45692922219 | class Solution:
def maxEvents(self,events):
events.sort(key=lambda x:x[1])
visited = set()
for s,e in events:
for day in range(s,e+1):
if day not in visited:
visited.add(day)
break
return len(visited)
| 2448845600/LeetCodeDayDayUp | LeetCode题解/weekly-contest-176/3-id5342.py | 3-id5342.py | py | 305 | python | en | code | 4 | github-code | 50 |
4053207217 | # -*- coding: utf-8 -*-
"""
Listing 10-3. PLANCKSSOLARSPECTRUM
"""
import numpy as np, matplotlib.pyplot as plt
plt.close('all')
plt.axis([0,3,0,100])
plt.xlabel('Wavelength $\lambda$ ($\mu$m)')
plt.ylabel('S($\lambda$) (MW/m$^{3}$) x 10^-6')
plt.grid(True)
plt.title('Max Plancks Solar Spectrum')
c=2.9979*(10.**8) ... | Apress/python-graphics | Chapter 10/Listing 10-3. PLANCKSSOLARSPECTRUM.py | Listing 10-3. PLANCKSSOLARSPECTRUM.py | py | 2,416 | python | en | code | 34 | github-code | 50 |
6896383846 | import os, os.path
import time, mimetypes
import mutagen
from supysonic import config
from supysonic.db import Folder, Artist, Album, Track
def get_mime(ext):
return mimetypes.guess_type('dummy.' + ext, False)[0] or config.get('mimetypes', ext) or 'application/octet-stream'
class Scanner:
def __init__(self, store):... | maikelwever/supysonic | supysonic/scanner.py | scanner.py | py | 5,576 | python | en | code | null | github-code | 50 |
42751401954 | import torch
import torch.nn as nn
import numpy as np
from numpy import linalg as LA
class QuantizationF(torch.autograd.Function):
@staticmethod
def forward(ctx, input, islinear, scale):
ctx.save_for_backward(input)
ctx.islinear = islinear
ctx.scale = scale
if ctx.islinear: #lin... | peiswang/FFN | models/quan.py | quan.py | py | 1,528 | python | en | code | 2 | github-code | 50 |
37070866974 | ## coffee_creator.py - CoffeeMachine: Create a coffee
# GPLv3 (c) 2020 Laurent Bourgon
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your op... | BourgonLaurent/CoffeeMachine | CoffeeMachine/coffee_creator.py | coffee_creator.py | py | 4,461 | python | en | code | 0 | github-code | 50 |
34655327754 | _author_ = 'jake'
_project_ = 'leetcode'
# https://leetcode.com/problems/valid-sudoku/
# Determine if a Sudoku is valid, according to: Sudoku Puzzles - The Rules.
# The Sudoku board could be partially filled, where empty cells are filled with the character '.'.
# Create a set of digits seen in each row, column and bo... | jakehoare/leetcode | python_1_to_1000/036_Valid_Sudoku.py | 036_Valid_Sudoku.py | py | 1,290 | python | en | code | 49 | github-code | 50 |
70618463514 | #!/usr/bin/env python
#### this script modifies a FATES parameter file. It accepts the following flags
# --var or --variable: variable.
# --pft or --PFT: PFT number. If this is missing, script will assume that its a global variable that is being modified.
# --input or --fin: input filename.
# --output or --fout: outpu... | NGEET/fates-release | tools/modify_fates_paramfile.py | modify_fates_paramfile.py | py | 7,190 | python | en | code | 11 | github-code | 50 |
19769448823 | revision = 'affc03cb46f5'
down_revision = '988883a6be1d'
branch_labels = None
depends_on = None
import alembic
import sqlalchemy
import json
import itertools
import requests
import logging
import urllib.parse
log = logging.getLogger("affc03cb46f5_game_data")
def upgrade():
conn = alembic.context.get_context().bind
... | mrphlip/lrrbot | alembic/versions/affc03cb46f5_game_data.py | affc03cb46f5_game_data.py | py | 13,052 | python | en | code | 30 | github-code | 50 |
71590351834 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# 概要
plot補助ツール群
# 参考
* [matplotlibでグラフの文字サイズを大きくする](https://goo.gl/E5fLxD)
* [Customizing matplotlib](http://matplotlib.org/users/customizing.html)
"""
import numpy as np
from cycler import cycler
import matplotlib.pyplot as plt
import matplotlib.patches as patches... | toru-ver4/sip | lib/plot_utility.py | plot_utility.py | py | 8,857 | python | en | code | 4 | github-code | 50 |
70392240156 | class CabineTelefonica:
def __init__(self):
self.saldo = 0.0
self.estado = 'INATIVO'
self.numero = ''
self.valor_moedas_validas = [0.10, 0.20, 0.50, 1.0, 2.0]
self.moedas_inseridas = []
def valida_moedas(self, lista_moedas):
for moeda in lista_moedas:
... | Alpha241/PL2023 | TPC5/cabine.py | cabine.py | py | 2,641 | python | pt | code | 0 | github-code | 50 |
10270639147 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 20 14:18:56 2020
@author: cip18jjp
"""
def count_boxes(data, box_size, range_box ):
import numpy as np
"""
Parameters
----------
data : Pandas series
data consisting of x and y coordinates
box_size : array
Of box lengths (m)... | jjp4595/PIN_Productivity_Project | Scripts/fractal_working.py | fractal_working.py | py | 1,437 | python | en | code | 0 | github-code | 50 |
1127226856 | import numpy as np
def separated(values, *, limit, stringify, sep):
"""
Print up to ``limit`` values with a separator.
Args:
values (list): the values to print
limit (optional, int): the maximum number of values to print (None for no limit)
stringify (callable): a function to use ... | stellargraph/stellargraph | stellargraph/core/validation.py | validation.py | py | 2,274 | python | en | code | 2,810 | github-code | 50 |
37228476875 | dizionario = {'a':'b','b':'c','c':'d','d':'e','e':'f','f':'g','g':'h','h':'i','i':'l','l':'m','m':'n','n':'o','o':'p','p':'q','q':'r',
'r':'s','s':'t','t':'u','u':'v','v':'z','z':'a'}
parola = input('Inserisci la parola: ')
NuovaStr=""
for i in parola:
NuovaStr+=dizionario[i]
print(NuovaStr)
decodifica... | theCocoCj/Python | cifrario_Cesare.py | cifrario_Cesare.py | py | 636 | python | it | code | 2 | github-code | 50 |
22797019505 | import json
from django.conf import settings
from django.core.management import BaseCommand
from mainapp.models import ProductCategory, Product
from authapp.models import ShopUser
def load_from_json(file_name):
with open(f'{settings.BASE_DIR}/json/{file_name}.json', encoding='utf-8') as json_file:
return... | ZaharBerdnikov/geekshop | mainapp/management/commands/fill.py | fill.py | py | 1,071 | python | en | code | 0 | github-code | 50 |
70401183515 | import io
import copy
import kivy
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.filechooser import FileChooserIconView
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.label import Label
from kivy.uix.togglebutton import ToggleButton
from kivy.uix.boxlayout import BoxLayou... | dkatsios/Graspy | User/GUI_main.py | GUI_main.py | py | 27,302 | python | en | code | 0 | github-code | 50 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.