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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
36961636463 | import os.path
base_path = 'scispacy_pipeline_output/'
#function to parse the scipacy output(the text files produced)
def parse_output(n):
cui_dict = {}
for j in range(0,n):
#select a patient text file path
pat_path = base_path + "patient" +str(j) + ".txt"
if os.path.is... | Sep905/pre-trained_wv_with_kb | conceptExtraction_entityLinking/parsing_scispacy_output.py | parsing_scispacy_output.py | py | 3,761 | python | en | code | 0 | github-code | 36 |
29673546988 | import boto3
import gzip
import json
import os
from math import ceil
from pymongo import MongoClient
def load_file(filepath):
documents = {}
lines = open(filepath, 'r').read().splitlines()
for line in lines:
columns = line.split('\t')
documents[columns[0]] = columns[1]
return documents... | edgargaticaCU/DocumentMetadataAPI | data_checker.py | data_checker.py | py | 3,767 | python | en | code | 0 | github-code | 36 |
41826934545 | # import sqlite library
import sqlite3
# create a database and make a connection.
conn = sqlite3.connect("first.db")
cursor = conn.cursor()
sql = """UPDATE programs
SET program_level = 'Master''s'
WHERE program_name IN ('Anthropology', 'Biology')"""
cursor.execute(sql)
sql = """INSERT INTO students(student, id_prog... | Ngue-Um/DHRI-June2018-Courses-databases | scripts/challenge.py | challenge.py | py | 430 | python | en | code | 0 | github-code | 36 |
70064817065 | import jsonschema
from API.validation import error_format
class Validate_AddChannel():
def __init__(self, data):
self.data = data
self.schema = {
"type": "object",
"properties": {
"name": {"type": "string"},
"type": {"type": "string"... | OStillman/ODACShows | API/validation/add_channel_validation.py | add_channel_validation.py | py | 1,067 | python | en | code | 0 | github-code | 36 |
22453632625 | import urllib
from bs4 import BeautifulSoup
import re
def fetch(url):
return urllib.urlopen(url).read()
def extractss(data):
regex = '\"storyboard\_spec\"\:.+'
code = re.findall(regex,data)[0].split(',')[0]
highestres = code.split('|')[-1]
images = int(highestres.split('#')[2]) + 1
imagespersh... | karthiknrao/videocontext | videositecrawlers.py | videositecrawlers.py | py | 1,042 | python | en | code | 0 | github-code | 36 |
71038363623 | import collections
import numpy as np
from math import pi
def log_gaussian_prob(obs, mu, sig):
num = (obs - mu) ** 2
denum = 2 * sig ** 2
# norm = 1 / sqrt(2 * pi * sig ** 2)
# prob = norm * exp(-num/denum)
log_prob = (-num / denum) + 0.5 * (np.log(2) + np.log(pi) + 2 * np.log(sig))
return log_prob
clas... | Xiaohong-Deng/algorithms | AIML/gaussianNaiveBayes/classifier.py | classifier.py | py | 3,774 | python | en | code | 0 | github-code | 36 |
8451867993 | from collections import deque
from collections import namedtuple
PairedTasks = namedtuple('PairedTasks', ('task_1', 'task_2'))
def compute_task_assignment(task_durations: list):
durations = deque(sorted(task_durations))
total_time = 0
while durations:
total_time = max(total_time, durations.pople... | kashyapa/coding-problems | epi/revise-daily/6_greedy_algorithms/1_compute_optimum_task_assignment.py | 1_compute_optimum_task_assignment.py | py | 594 | python | en | code | 0 | github-code | 36 |
73290357865 | import json
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
# 读取JSON文件
with open('./47_data.json') as f:
data = json.load(f)
# 将数据转换为NumPy数组
images = np.array(data)
# 创建一个2x4的子图，用于显示8张图片
fig, axs = plt.subplots(2, 4)
# 迭代显示每张图片
for i, ax in enumerate(axs.flatten()):
... | LazySheeeeep/Trustworthy_AI-Assignments | 1/testing_images_showcase.py | testing_images_showcase.py | py | 696 | python | zh | code | 0 | github-code | 36 |
4193791513 | import pandas as pd
import numpy as np
# # series--->dataframe
# d = {'one': pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
# 'two': pd.Series([1., 2., 3., 4.], index=['a', 'b', 'c', 'd'])}
# df = pd.DataFrame(d)
# print(df)
# print(df.index)
# print(df.columns)
# # index:行标签 columns：列标签
# # dict ---> dataframe
# ... | Marcia0526/data_analyst | dataframe_demo.py | dataframe_demo.py | py | 4,426 | python | en | code | 0 | github-code | 36 |
30466827827 | class Solution:
def binaryTreePaths(self, root: TreeNode) -> List[str]:
if not root:
return []
path = []
res = []
self.dfs(root, path, res)
return res
def dfs(self, root, path, res):
path.append(str(root.val))
# base case
if not root.l... | dundunmao/LeetCode2019 | 257. binary tree paths.py | 257. binary tree paths.py | py | 3,061 | python | en | code | 0 | github-code | 36 |
27275697128 | """Very simple example using a pair of Lennard-Jones particles.
This script has several pieces to pay attention to:
- Importing the pieces from wepy to run a WExplore simulation.
- Definition of a distance metric for this system and process.
- Definition of the components used in the simulation: resampler,
boundary... | ADicksonLab/wepy | info/examples/Lennard_Jones_Pair/source/we.py | we.py | py | 7,753 | python | en | code | 44 | github-code | 36 |
21130491503 | import psycopg2
from config import host, user, password, db_name
try:
# подключение к существующей БД
connection = psycopg2.connect(
host=host,
user=user,
password=password,
database=db_name
)
connection.autocommit = True
# курсор для предоставления операций над БД
... | Tosic48/pizzeria | main2.py | main2.py | py | 3,728 | python | ru | code | 0 | github-code | 36 |
9194727466 | import unittest
import torch
import lightly
class TestNestedImports(unittest.TestCase):
def test_nested_imports(self):
# active learning
lightly.active_learning.agents.agent.ActiveLearningAgent
lightly.active_learning.agents.ActiveLearningAgent
lightly.active_learning.config.samp... | tibe97/thesis-self-supervised-learning | tests/imports/test_nested_imports.py | test_nested_imports.py | py | 3,548 | python | en | code | 2 | github-code | 36 |
3955175218 | # -*- coding: utf-8 -*-
import argparse
import os, sys
import codecs
from collections import Counter
import json
import numpy as np
import torch
import copy
install_path = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
print(install_path)
sys.path.append(install_path)
i... | ZiJianZhao/Unaligned-SLU | dstc3/text/stat.py | stat.py | py | 1,886 | python | en | code | 1 | github-code | 36 |
74328503143 | import logging
import pandas as pd
from openfisca_ceq.tools.data import config_parser, year_by_country
from openfisca_ceq.tools.data_ceq_correspondence import (
ceq_input_by_harmonized_variable,
ceq_intermediate_by_harmonized_variable,
data_by_model_weight_variable,
model_by_data_id_variable,
mo... | openfisca/openfisca-ceq | openfisca_ceq/tools/data/income_loader.py | income_loader.py | py | 5,243 | python | en | code | 0 | github-code | 36 |
41896592263 |
import random
words = ["skykreeper", "winterland", "starwars"]
chosen_words = random.choice(words)
stages=['''
<====>
| |
O |
/|\ |
/ \ |
|
============
''', '''
<====>
| |
O |
/|\ |
/ |
|
============
''', '''
<====>
... | Kumar6174/Hangman-Game-Using-Python | Hangman_Game.py | Hangman_Game.py | py | 1,524 | python | en | code | 0 | github-code | 36 |
2861916089 | '''
В файле config.py располагаются
изменяемые значения для
необходимой настройки скрипта
'''
# Для GUI-приложения
# инфо о таблице, "БД" и шаблонах
path_db = 'created_text_docs'
path_db_bta = 'Созданные документы БТА'
path_db_main_KS = f'{path_db}/Круглосуточный стационар'
path_db_main_DS = f'{path_db}/Дневной стацион... | Spike2250/WoM | wom/settings/config.py | config.py | py | 3,136 | python | ru | code | 0 | github-code | 36 |
35609459703 | import streamlit as st
import cv2
import time
import sys
import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from streamlit_lottie import st_lottie
# Initialize the parameters
confThreshold = 0.2 #Confidence threshold
nmsThreshold = 0.4 #Non-maximum suppression threshold
inpWidth = 4... | nlkkumar/vehicle-class-yolov4 | nlk-vehi-class-classification.py | nlk-vehi-class-classification.py | py | 7,582 | python | en | code | 1 | github-code | 36 |
41646833738 | import datetime, requests, csv, argparse
class MarketwatchScraper():
def __init__(self, stock: str = "AAPL", timeout: int = 1) -> None:
self.stock = stock
self.timeout = timeout
pass
def scrape(self) -> None:
self.saveToFile(self.getURLS())
def saveToFile(self, ... | chaarlottte/MarketWatch-Scraper | scrape.py | scrape.py | py | 2,814 | python | en | code | 6 | github-code | 36 |
18252810201 | from functools import lru_cache
from typing import List
class Solution:
def maxCoins(self, nums: List[int]) -> int:
@lru_cache(None)
def dfs(l, r):
if l > r:
return 0
# if (l, r) in dic:
# return dic[(l, r)]
# dic[(l, r)] = 0
... | hujienan/Jet-Algorithm | leetcode/312. Burst Balloons/index.py | index.py | py | 797 | python | en | code | 0 | github-code | 36 |
23380020206 | from tkinter import *
class nutnhan:
def __init__(self,master):
frame=Frame(master)
frame.pack()
self.printbutton=Button(frame,text="print",command=self.printmassage)
self.printbutton.pack()
self.quitbutton=Button(frame,text="quit",command=frame.quit)
self.quitbutton.pack()
def printmassag... | nguyenbuitk/python-tutorial | 03_LT/Game/Tkinter/tkinter 08 class.py | tkinter 08 class.py | py | 401 | python | en | code | 0 | github-code | 36 |
34181109892 | #tempurature range is 4-95 degrees C
#we use a GEN2 tempurature module
#tolerance on read about 5 degrees for heating (at least with IR thermometer)
# can hold steady at a tempurature really well though would need to test more at differing tempurature
#idling tempurature 55 C can hold within .5 C of tem... | MyersResearchGroup/OpenTrons_OT2_Protocols | temperature_module/tempurature_module.py | tempurature_module.py | py | 1,122 | python | en | code | 0 | github-code | 36 |
16172950617 | """This script creates a regression test over metarl-TRPO and baselines-TRPO.
Unlike metarl, baselines doesn't set max_path_length. It keeps steps the action
until it's done. So we introduced tests.wrappers.AutoStopEnv wrapper to set
done=True when it reaches max_path_length. We also need to change the
metarl.tf.sampl... | icml2020submission6857/metarl | tests/benchmarks/metarl/tf/algos/test_benchmark_trpo.py | test_benchmark_trpo.py | py | 12,332 | python | en | code | 2 | github-code | 36 |
29013837779 | import pickle
import math
if __name__ == '__main__':
with open('dict.txt', 'rb') as f:
dict_ = pickle.load(f)
data = []
with open('../NSL-KDD/KDDTrain+_20Percent.arff', 'r') as f: #KDDTest-21 KDDTrain+ KDDTest+ KDDTrain+_20Percent
for line in f.readlines():
if line[0] != '@':
... | MrDuGitHub/NSL-KDD | code/norm.py | norm.py | py | 3,451 | python | en | code | 0 | github-code | 36 |
33521363177 | import os, re, importlib.util
import LogManager
from Module import Module
from ModuleThreadHandler import ModuleThreadHandler, ThreadTask
class ModuleRunner:
def __init__(self, parent):
self.parent = parent
self.logger = LogManager.create_logger('MODULES')
self.closing = False
self.thread_handler ... | gregormaclaine/AutoHome | ModuleRunner.py | ModuleRunner.py | py | 2,346 | python | en | code | 0 | github-code | 36 |
3095634142 | import re
from mparser import *
from mlexer import *
# if re.match(r'.+ while .+', "x = x + 1 if x < 10 while k == 0"):
# print('MATCH')
# else:
# print('NO MATCH')
lex = Lexer()
par = Parser(lex)
code = "x = x + 1 if x < 10 while y < 5"
code = '''
while x > 5
x = 1
y = x - 1
end
'''
code = '''
if x < 5
... | ptq204/CS320-Ruby-lexer-parser | main.py | main.py | py | 539 | python | en | code | 0 | github-code | 36 |
30452253568 | import pandas as pd
import requests
from bs4 import BeautifulSoup
u = 'https://www.amazon.in/OnePlus-Nord-Gray-128GB-Storage/product-reviews/B08695ZSP6/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber='
def amazon(link,Number_of_pages):
r={}
allreview1 = pd.DataFrame(r)... | SHRIKAR5/Amazon-review-webscraping | amazon_review-webscraping.py | amazon_review-webscraping.py | py | 2,060 | python | en | code | 0 | github-code | 36 |
496383977 | from dagster_datadog import datadog_resource
from dagster import ModeDefinition, execute_solid, solid
from dagster.seven import mock
@mock.patch('datadog.statsd.timing')
@mock.patch('datadog.statsd.timed')
@mock.patch('datadog.statsd.service_check')
@mock.patch('datadog.statsd.set')
@mock.patch('datadog.statsd.distr... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-datadog/dagster_datadog_tests/test_resources.py | test_resources.py | py | 2,747 | python | en | code | 2 | github-code | 36 |
5054088480 | from abei.implements.service_basic import ServiceBasic
from abei.implements.util import (
FileLikeWrapper,
LazyProperty,
)
from abei.interfaces import (
IProcedure,
IProcedureLink,
IProcedureFactory,
IProcedureJointFactory,
IProcedureBuilder,
service_entry as _,
)
from .procedure_joint_b... | mind-bricks/abei | abei/implements/procedure_builder.py | procedure_builder.py | py | 8,029 | python | en | code | 0 | github-code | 36 |
29390462152 | class Solution:
def calcEquation(self, equations: List[List[str]], values: List[float], queries: List[List[str]]) -> List[float]:
graph = defaultdict(defaultdict)
for (dividend, divisor), value in zip(equations, values):
graph[dividend][divisor] = value
graph[divisor][divide... | AnotherPianist/LeetCode | 0399-evaluate-division/0399-evaluate-division.py | 0399-evaluate-division.py | py | 1,336 | python | en | code | 1 | github-code | 36 |
15991381065 | import torch.nn as nn
try:
from .resnet import resnet50_v1b
except:
from resnet import resnet50_v1b
import torch.nn.functional as F
import torch
class SegBaseModel(nn.Module):
r"""Base Model for Semantic Segmentation
Parameters
----------
backbone : string
Pre-trained dilated backbone... | zyxu1996/Efficient-Transformer | models/danet.py | danet.py | py | 7,495 | python | en | code | 67 | github-code | 36 |
74201126823 | import re
import os
def get_ckpt_epoch( checkpoint_dir ):
epochs_list = [0]
for fname in os.listdir(checkpoint_dir):
mtc = re.match( r'.*model\.(\d+)', fname )
if not mtc:
continue
epochs_list.append(int( mtc.groups()[0]) )
return max(epochs_list)
def clear_old_ckpt( ... | cmranieri/flood-detection | src/ml_utils.py | ml_utils.py | py | 673 | python | en | code | 0 | github-code | 36 |
13125376994 | """Implementation of Rectangle class"""
class Rectangle:
"""A Rectangle.
Args:
width: width of rectangle
height: height of rectangle
Both should be positive numbers
"""
def __init__(self, width, height):
self.width = width
self.height = height
def area(... | pawel123789/day7 | 1.py | 1.py | py | 495 | python | en | code | 0 | github-code | 36 |
31453786297 | import os, sys, pygame
class Animation:
def __init__(self, names_files, cd_images, screen, width_screen, height_screen, sounds, colorkey=None, music=None):
self.images = []
for elem in names_files:
self.images.append(pygame.transform.scale(self.load_image(elem, colorkey=colorkey), (wid... | ScarletFlame611/1984-game | animation_comics.py | animation_comics.py | py | 2,789 | python | en | code | 0 | github-code | 36 |
74873018984 | from flask_wtf import Form
from wtforms import StringField,BooleanField,PasswordField,IntegerField,SelectField
from wtforms.validators import DataRequired, ValidationError
from webapp.Models.db_basic import Session
from webapp.Models.prod_cat import Prod_cat
from webapp.Models.prod_sub_cat import Prod_sub_cat
def lev... | kangnwh/Emall | webapp/viewrouting/admin/forms/category_forms.py | category_forms.py | py | 2,511 | python | en | code | 1 | github-code | 36 |
38642289342 | import nltk
import pickle
from utils import tokenize_document
resume_file = open('../assets/resume.txt', 'r')
resume = resume_file.read()
resume_file.close()
tokenizer = nltk.RegexpTokenizer(r'\w+')
resume_tokenized = tokenize_document(resume, tokenizer)
print(resume_tokenized)
pickle.dump(resume_tokenized, open('../... | anishLearnsToCode/stop-words-removal | src/driver.py | driver.py | py | 352 | python | en | code | 0 | github-code | 36 |
32480271471 | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from .views import (IngredientViewSet, LikedRecipeDetailView, RecipeViewSet,
SubscribtionListView, SubscriptionDetailView, TagViewSet)
v1_router = DefaultRouter()
v1_router.register(
'tags',
TagViewSet,
... | JCoffeeYP/foodgram-project-react | backend/cookbook/urls.py | urls.py | py | 917 | python | en | code | 0 | github-code | 36 |
27016642063 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 1 17:38:34 2019
@author: Martín Márquez Cervantes
"""
print("UNion de las tres compuertas, aun por trabajar")
import matplotlib.pyplot as plt
import numpy as np
class MyNeuron:
#VAriable w global
WG=0
xTestPredic=0
#entrenamie... | MarqCervMartin/RedesNeuronales | Laboratorio5/CompuertaAndOrNot.py | CompuertaAndOrNot.py | py | 5,014 | python | es | code | 0 | github-code | 36 |
71845268583 | import structmanager.sol200.output_codes as output_codes_SOL200
def constrain_buckling(panelcomp, eig=1.0):
OUTC = output_codes_SOL200.OUTC
eid = panelcomp.get_central_element().eid
dcid = panelcomp.constraints['buckling']
# reading membrane force Nxx
code_Nxx = OUTC['FORCE']['CQUAD4']['Membra... | compmech/structmanager | structmanager/optimization/sol200/elements2d/composite_panel/constraints.py | constraints.py | py | 1,966 | python | en | code | 1 | github-code | 36 |
21683749340 | #!/usr/bin/env python3
import os
import re
import click
import json
import logging
import zipfile
import portalocker
import contextlib
import traceback
import imghdr
import multiprocessing
import functools
import threading
import time
import sys
import ctypes
import psutil
from pathlib import Path
from functools impo... | poke1024/origami | origami/batch/core/processor.py | processor.py | py | 16,273 | python | en | code | 69 | github-code | 36 |
33905718453 | days_vacation = int(input())
left_money = 0
for day in range(1, days_vacation+1):
max_money = 60
count_products = 0
if left_money > 0:
max_money += left_money
while max_money > 0:
price_product = input()
if price_product == "Day over":
if max_money > 0:
... | IvayloSavov/Programming-basics | exams/27_28_July/trip_expenses.py | trip_expenses.py | py | 836 | python | en | code | 0 | github-code | 36 |
22840734386 |
from urllib.request import urlopen
import json
def E(X):
'''
:param X: [(xi, pi), ...]
:return: int expected value of random variable X
'''
return sum([e[0] * e[1] for e in X])
url = 'https://api.blockchain.info/charts/market-price?timespan=1year&format=json'
http_file = urlopen(url)
lines = ht... | naurlaunim/other | btc_calc.py | btc_calc.py | py | 922 | python | en | code | 0 | github-code | 36 |
41554946028 | # coding: utf8
# Create by Narata on 2018/4/10
import urllib.request
import re
def get_url_list():
url = 'http://www.budejie.com/video/'
req = urllib.request.Request(url)
req.add_header('User-Agent', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Sa... | narata/spider | demo/video.py | video.py | py | 663 | python | en | code | 0 | github-code | 36 |
18483593432 | import random
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageFilter
from torchvision import datasets, transforms
class RandomGaussianBlur(object):
def __call__(self, image):
if random.random() < 0.5:
image = image.filter(ImageFilter.GaussianBlur(
... | TWSFar/GhostNet-MNIST | datasets/mnist.py | mnist.py | py | 1,738 | python | en | code | 5 | github-code | 36 |
8754323425 | # -*- coding: utf-8 -*-
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
import re
from odoo import api, fields, models
class OFCalculationHeatLossLine(models.Model):
_name = 'of.calculation.heat.loss.line'
_description = u"Appareils compatibles pour la déperdition de chaleur"
calculation... | odof/openfire | of_calculation_heat_loss/models/of_calculation_heat_loss_line.py | of_calculation_heat_loss_line.py | py | 1,369 | python | en | code | 3 | github-code | 36 |
1098578046 | #
# This file is part of the Robotic Observatory Control Kit (rockit)
#
# rockit 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 option) any later version.
#
# ro... | warwick-one-metre/domed | rockit/dome/constants.py | constants.py | py | 4,220 | python | en | code | 0 | github-code | 36 |
31638903937 | import json
import numpy as np
import matplotlib.pyplot as plt
def read_file():
# 读取数据
hero_list = json.load(open("./file/heroskin.json", 'r', encoding='utf-8'))
hero_skin_data = hero_list["hero_skin_data"]
return hero_skin_data
def get_hero_skin_count():
hero_skin_data = read_file()
# 所有英雄、皮... | N-Wind/League-of-Legends | hero/heroSkinLine.py | heroSkinLine.py | py | 2,138 | python | en | code | 0 | github-code | 36 |
70767542184 | from sokoban.fast_sokoban import extract_all_patterns
import numpy as np
class MinimalLocalForwardModel:
def __init__(self, model, mask, span, remember_predictions=False):
self.model = model
self.mask = mask
self.span = span
self.remember_predictions = remember_predictions
... | ADockhorn/Active-Forward-Model-Learning | activestateexploration/simple_lfm.py | simple_lfm.py | py | 2,206 | python | en | code | 0 | github-code | 36 |
23406422554 | # -*- coding: utf-8 -*-
import cottonformation as ctf
from cottonformation.res import iam, awslambda
# create a ``Template`` object to represent your cloudformation template
tpl = ctf.Template(
Description="Aws Lambda Versioning Example",
)
iam_role_for_lambda = iam.Role(
"IamRoleForLambdaExecution",
rp_... | MacHu-GWU/Dev-Exp-Share | docs/source/01-AWS/01-All-AWS-Services-Root/01-Compute/02-AWS-Lambda-Root/05-Versioning/deploy.py | deploy.py | py | 1,506 | python | en | code | 3 | github-code | 36 |
1316799012 | # !pip install xlsxwriter
import pandas as pd
df = pd.DataFrame([{'foo':i,'bar':2*i,'baz':3*i} for i in range(76)])
writer = pd.ExcelWriter('sample_xl.xlsx',engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')
# Get the xlsxwriter workbook and worksheet... | rtahmasbi/Applications_Tempalete | P_ExcelWriter.py | P_ExcelWriter.py | py | 1,569 | python | en | code | 0 | github-code | 36 |
17966322508 | """Config files
"""
import logging
import os
import sys
from pathlib import Path
import torch
MAIN_PATH = Path(__file__).resolve().parents[1]
DATA_PATH = MAIN_PATH / "data"
DEPLOY_PATH = MAIN_PATH / "src" / "deploy"
ARTIFACT_PATH = MAIN_PATH / "artifacts"
DEVICE = torch.device("cuda") if torch.cuda.is_available() el... | benjaminlq/Image-Generation | src/config.py | config.py | py | 1,838 | python | en | code | 0 | github-code | 36 |
34181502633 | from typing import Dict, Optional, Type, Union, Callable, Any
from types import TracebackType
from functools import wraps
from threading import Lock
from qiskit_ibm_provider.utils.converters import hms_to_seconds
from qiskit_ibm_runtime import QiskitRuntimeService
from .runtime_job import RuntimeJob
from .utils.resul... | Qiskit/qiskit-ibm-runtime | qiskit_ibm_runtime/session.py | session.py | py | 11,847 | python | en | code | 106 | github-code | 36 |
177355358 | def kerulet(r):
pi = 3.14
return(2*r*pi)
def terulet(r):
pi = 3.14
return(r**2)*pi
sugar = float(input("A kör sugara: "))
K = kerulet(sugar)
T = terulet(sugar)
print("A kör kerülete: {0} egység.".format(K))
print("A kör területe: {0} négyzetegység.".format(T)) | martinez7200/progalapok | kor_kerulet.py | kor_kerulet.py | py | 294 | python | hu | code | 0 | github-code | 36 |
26967199764 | from flask import Flask, jsonify, request, make_response
from functions import calculate_penalty,possession
app = Flask(__name__)
@app.route('/')
def index():
return 'This is index page'
@app.route('/penalties', methods={'POST'})
def getpenalities():
drug_class=request.form.get('drug_class')
... | Mubashar2014/penalties | main.py | main.py | py | 899 | python | en | code | 0 | github-code | 36 |
7499185502 |
"""
Created on Sat Oct 20 16:01:38 2018
@author: Varun
"""
import numpy as np
import pandas as pd
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dropout, Flatten, Dense
from keras import applications
import shutil
#reads in csv file
df = pd.read... | varunvenkitachalam/GenderDetector_MachineLearning | UltimateGenderSplit.py | UltimateGenderSplit.py | py | 3,040 | python | en | code | 0 | github-code | 36 |
70970697063 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 27 07:57:10 2020
@author: KANNAN
"""
from flask import Flask, render_template, request
import pandas as pd
#import sklearn
import pickle
model = pickle.load(open("flight_rf.pkl", "rb"))
app = Flask(__name__)
@app.route('/')
def home():
return r... | GuruYohesh/ML | Flight Fare Prediction/app.py | app.py | py | 9,556 | python | en | code | 0 | github-code | 36 |
12487085880 | """
Lists Basics - More Exercises
Check your code: https://judge.softuni.bg/Contests/Practice/Index/1726#3
SUPyF2 Lists More Exercise - 04. Battle Ships
Problem:
You will be given a number n representing the number of rows of the field.
On the next n lines you will receive each row of the field as a string wi... | SimeonTsvetanov/Coding-Lessons | SoftUni Lessons/Python Development/Python Fundamentals September 2019/Problems And Files/10 EXERCISE LISTS BASICS - Дата 4-ти октомври, 1430 - 1730/More Exercises/04. Battle Ships.py | 04. Battle Ships.py | py | 1,335 | python | en | code | 9 | github-code | 36 |
27053438479 | import pytest
from subarraySum import Solution
@pytest.mark.parametrize("nums, k, expected", [
([], 2, 0),
([1, 1, 1], 2, 2),
([1, 1, 1, 1], 2, 3)
])
def test_subarraySum(nums, k, expected):
actual = Solution().subarraySum(nums, k)
assert actual == expected
| ikedaosushi/leetcode | problems/python/tests/test_subarraySum.py | test_subarraySum.py | py | 280 | python | en | code | 1 | github-code | 36 |
3202338276 | import numpy as np
import sys
import time
sys.path.append("Interface/python/")
from init import NeuronLayerBox
import cv2
def rgb2gray(rgb):
return np.dot(rgb[...,:3], [0.299, 0.587, 0.114])
if __name__ == '__main__':
NLB=NeuronLayerBox(step_ms=1,model=1,spike=0,restore=0)
input_src=[]
img=cv2.i... | Megatron2032/NeuronLayerBox | NeuronLayerBox1.1/main.py | main.py | py | 641 | python | en | code | 0 | github-code | 36 |
18297590625 | import csv
import json
BATCH_ID='4574137'
ROUND='1'
with open('wrong_hit.txt'.format(BATCH_ID)) as f:
wrong_hit = f.read().splitlines()
# print(len(wrong_hit))
save_data = []
csv_columns = []
all = 0
wrong = 0
with open('csv/Batch_{}_batch_results{}.csv'.format(BATCH_ID, '_'+ROUND if ROUND != '0' else ''), n... | BernieZhu/Trashbot-Dataset | tools/review_batch.py | review_batch.py | py | 2,552 | python | en | code | 0 | github-code | 36 |
9997089912 | import sys
import codecs
def readFile(tweetFileName,classFileName) :
classMap = dict()
fin1 = codecs.open(tweetFileName)
fin2 = codecs.open(classFileName)
for inputline1 in fin1 :
inputline1 = inputline1.strip('\r\n')
inputline2 = fin2.next().strip('\r\n')
if inputline2 not in classMap :
classMap[inputli... | satheeshkumark/NLP | Sentiment_Analysis/scripts/formEqualDistribution.py | formEqualDistribution.py | py | 905 | python | en | code | 0 | github-code | 36 |
17440403303 | from tensorflow.keras import layers, models
import glob
import numpy as np
from PIL import Image
from sklearn.model_selection import train_test_split
from datetime import datetime
width = 75
height = 100
channel = 1
def load_data():
images = np.array([]).reshape(0, height, width)
labels = np.array([])
d... | NikolaBrodic/VehicleLicencePlateAndLogoRecognition | character_recognition_cnn.py | character_recognition_cnn.py | py | 2,599 | python | en | code | 1 | github-code | 36 |
41551040241 | import cv2
import os
import numpy as np
import json
import mmcv
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
import matplotlib.pyplot as plt
from glob import glob
import ast
from mmrotate.core import poly2obb_np
def poly2obb_np_oc(poly):
"""Convert polygons to oriented ... | parkyongjun1/rotated_deformabledetr | AO2-DETR/tools/arirang_json_to_txt.py | arirang_json_to_txt.py | py | 12,936 | python | en | code | 0 | github-code | 36 |
19848816787 | import json
no = 0
groups = 0
reserve = []
data = {
"no": no,
"groups": groups,
"reserve": reserve
}
with open("data.json", "w") as f:
json.dump(data, f)
opend = open("./data.json","r")
loaded = json.load(opend)
print(loaded)
print("no: ", loaded["no"], "groups: ", loaded["groups"])
| hmjn023/dev-hmjn | js.py | js.py | py | 318 | python | en | code | 1 | github-code | 36 |
19033935152 | """Module contains functionality that parses main page for RedHat vulnerabilities."""
import time
import lxml
import lxml.etree
from selenium import webdriver
from selenium.common.exceptions import WebDriverException, NoSuchElementException
from selenium.webdriver.chrome.options import Options
from cve_connector.vend... | CSIRT-MU/CRUSOE | crusoe_observe/cve-connector/cve_connector/vendor_cve/implementation/parsers/vendor_parsers/redhat_parsers/red_hat_main_page_parser.py | red_hat_main_page_parser.py | py | 4,549 | python | en | code | 9 | github-code | 36 |
36538905715 | import matplotlib.pyplot as plt
from pymol import cmd
from multiprocessing import Pool, cpu_count
from tqdm import tqdm # Import tqdm for progress bar
# Define a function to calculate RMSD for a single frame
def calculate_rmsd(frame_number, object_1, reference_object):
cmd.frame(frame_number)
#cmd.align(objec... | raafik980/charmm-md-analysis-in-pymol | 02_rmsd_vs_frame_parallel.py | 02_rmsd_vs_frame_parallel.py | py | 2,523 | python | en | code | 0 | github-code | 36 |
6795368681 | from django.conf import settings
from django.db.models import Q
from django_filters import rest_framework as filters
from ...models import Event
class EventFilterSet(filters.FilterSet):
category = filters.MultipleChoiceFilter(
method='filter_category',
label='Category',
choices=settings... | tomasgarzon/exo-services | service-exo-events/event/api/filters/event.py | event.py | py | 1,666 | python | en | code | 0 | github-code | 36 |
14551270733 | from io import StringIO
from itertools import chain
from typing import Any, Dict, List, Union
import simplejson as json
from jubeatools import song as jbt
from jubeatools.formats.filetypes import SongFile
from jubeatools.utils import lcm
from ..tools import make_memon_dumper
from . import schema
def _long_note_tai... | Stepland/jubeatools | jubeatools/formats/memon/v0/dump.py | dump.py | py | 8,590 | python | en | code | 4 | github-code | 36 |
9507730487 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 13 18:52:23 2020
@author: Hasnain Khan
"""
import numpy as np
import cv2
from matplotlib import pyplot as plt
# Convolv function for convolving the kernel with real image matrix
def convolve_np(image, kernel):
X_height = image.shape[0]
X_width = im... | HasnainKhanNiazi/Convolutional-Kernels | Sobel_Operator.py | Sobel_Operator.py | py | 1,479 | python | en | code | 1 | github-code | 36 |
29231023064 | #!/bin/python
import math
import os
import random
import re
import sys
# Complete the workbook function below.
def workbook(n, k, arr):
pages = 0
problemsInPage = 0
specialProblems = 0
pageNumber = 1
listOfProblems = dict()
chapterNumber = 1
for i in arr:
pag... | rsundar/data-structures | hackerrank solutions/lisas-workbook.py | lisas-workbook.py | py | 851 | python | en | code | 0 | github-code | 36 |
29632863333 | import discord
from discord.ext import commands
from datetime import datetime
from fun_config import *
class Work(commands.Cog):
def __init__(self, client: commands.Bot):
self.client = client
@commands.command()
@commands.cooldown(1, 86400, commands.BucketType.user)
async def sleep(self, ctx)... | Maghish/HoeX | cogs/work.py | work.py | py | 835 | python | en | code | 1 | github-code | 36 |
15202662310 | def swapFileData():
first=input("pls enter first file name:")
second=input("pls enter second file name:")
data_a=open(second.txt)
data_b=open(first.txt)
print(first)
print(second)
swapFileData()
| siddhant15oo/pro-98 | SwappingFile.py | SwappingFile.py | py | 222 | python | en | code | 0 | github-code | 36 |
70721444264 | import numpy as np
import plotly.offline as ply
import plotly.graph_objs as go
from scipy import stats as st
from scipy import signal as sg
import source_localization as src
file_name = "/home/dima/Projects/Touchdown/Data/test.bin"
ch_total = 6
length = 2**15 + 100000
fs = 100e6
t_pulse_width = 100e-6
t_period = 200e-... | DimaZhu/libsource_localization | tests/test_specframewriter.py | test_specframewriter.py | py | 2,935 | python | en | code | 0 | github-code | 36 |
29184316598 | import sys
import numpy as np
import pyautogui
import win32api, win32con, win32gui
import cv2
import time
import torch
import time
class_names = [ 'counter-terrorist', 'terrorist' ]
opponent = 'terrorist'
opponent_color = (255, 0, 0)
ally_color = (0, 128, 255)
model_path = 'best-640.pt'
image_size = 640
scale_map = { ... | anaandjelic/soft-computing-project | aimbot.py | aimbot.py | py | 3,412 | python | en | code | 1 | github-code | 36 |
14065650419 | import sys
input = sys.stdin.readline
N = int(input())
T = [0] * N
P = [0] * N
for a in range(N):
t, p = map(int, input().split())
T[a] = t
P[a] = p
dp =[0] * (N+1)
for i in range(N):
if T[i] <= N-i:
dp[i+T[i]] = max(dp[i+T[i]], dp[i]+P[i])
dp[i+1] = max(dp[i+1], dp[i])
print(dp[-1]) | yeon-june/BaekJoon | 15486.py | 15486.py | py | 317 | python | en | code | 0 | github-code | 36 |
1369587477 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from models import Company
def index(request):
companies = Company.objects.all().order_by('name')
paginator = Paginator(companies, 10)
... | avallete/ft_companysee | company/views.py | views.py | py | 863 | python | en | code | 0 | github-code | 36 |
34988613077 | with open('input.txt', 'r') as f:
jolts = [int(line.strip()) for line in f.readlines()]
sjolts = [0, *sorted(jolts), max(jolts) + 3]
diffs = [b - a for a, b in zip(sjolts[:-1], sjolts[1:])]
a = sum(d == 1 for d in diffs)
b = sum(d == 3 for d in diffs)
print(a*b) | JeroenMandersloot/aoc2020 | day10/puzzle1.py | puzzle1.py | py | 269 | python | en | code | 0 | github-code | 36 |
3587965918 |
import subprocess
from platform import release
from typing import List
from libqtile import bar, layout, widget, hook
from libqtile.config import Click, Drag, Group, Key, Screen
from libqtile.lazy import lazy
# defaults
mod = "mod4"
terminal = "termite"
browser = "firefox"
media = "stremio"
fileManager = "nemo"
game=... | TalkingPanda0/dotfiles | .config/qtile/qtile/config.py | config.py | py | 7,903 | python | en | code | 0 | github-code | 36 |
11757705834 | import numpy as np
#Solving the first 10 exercises:
#1.Write a NumPy program to get the numpy version and show numpy build configuration:
def exercise1():
npVersion = np.__version__
print("The numpy version is",npVersion)
#2. Write a NumPy program to get help on the add function
def exercise2():
getHelpAddFun... | mauriciopssantos/NumpyExercises | NumpyBasics/exercise1to10.py | exercise1to10.py | py | 3,750 | python | en | code | 0 | github-code | 36 |
43850231663 | import pandas as pd
import numpy as np
def func23():
l= [1,34,5,100,2]
l.sort(reverse=True)
return l
def listar():
xx=[1,2,3,4,5,6,7,8,9,10,11]
return (list(filter(lambda x: x %2 ==0,xx)))
def colors():
lista=[22,33,44,55,66]
g=int(np.average(lista))
print(g)
def arregloletra... | eloyina/answerpython | answers.py | answers.py | py | 1,611 | python | en | code | 0 | github-code | 36 |
25813329582 | from sys import stdin
def cd():
collection = set()
n = nums.pop()
m = nums.pop()
if (n == 0 and m == 0):
return -1
s = 0
for _ in range(n):
collection.add(nums.pop())
for _ in range(m):
if nums.pop() in collection:
s += 1
return s
nums = list(m... | Anders-E/Kattis | cd/cd.py | cd.py | py | 422 | python | en | code | 4 | github-code | 36 |
29265371613 | import turtle
import pandas
# Everything about turtle
screen = turtle.Screen()
screen.title("U.S. states")
image = "blank_states_img.gif"
screen.addshape(image)
turtle.shape(image)
screen.setup(width=750, height=520)
state_name = turtle.Turtle()
state_name.hideturtle()
state_name.penup()
# Everything ab... | Sina-Eshrati/US-States-Game | main.py | main.py | py | 1,427 | python | en | code | 0 | github-code | 36 |
19130481877 | from datetime import datetime
import json
class Observation():
def __init__(self, observationTime, numericValue, stringValue, booleanValue, sensorId):
self.observationTime = observationTime.strftime("%m/%d/%Y, %H:%M:%S")
self.Value = numericValue
self.valueString = stringValue
self.... | midcoreboot/RaspberryPiSensors | REC.py | REC.py | py | 675 | python | en | code | 0 | github-code | 36 |
15419782961 | #!/usr/bin/python3
# Dump memory of a process (Linux only).
# Based on Giles's answer from
# https://unix.stackexchange.com/questions/6267/how-to-re-load-all-running-applications-from-swap-space-into-ram/#6271
#
# Error checking added by hackerb9.
import ctypes, re, sys
## Partial interface to ptrace(2), only for PT... | hackerb9/memcat | memcat.py | memcat.py | py | 2,573 | python | en | code | 10 | github-code | 36 |
30504364246 | import numpy as np
import cv2
from sklearn.cluster import KMeans
import pdb
from skimage.util import montage
import matplotlib.pyplot as plt
''' K means clustering with 30 classes: 26 letters, 1 blank time, 1 double letter, 1 triple letter, 1 empty'''
# gather images that have been labelled
f = open('labels.txt')
d... | meicholtz/scrabble | clustering.py | clustering.py | py | 2,242 | python | en | code | 0 | github-code | 36 |
33149847347 | import argparse
import collections
from datetime import datetime
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy
import sys
import time
import json
import zenoh
# --- Command line argument parsing --- --- --- --- --- ---
parser = argparse.ArgumentParser(
prog='z_plot',
... | eclipse-zenoh/zenoh-demos | plotting/zplot/z_plot.py | z_plot.py | py | 2,515 | python | en | code | 27 | github-code | 36 |
20189362717 | import argparse
from pathlib import Path
from os.path import basename, isfile, isdir, splitext
import glob
def _list_modules(folder_name):
modules = glob.glob(str(Path(__file__).resolve().parent / folder_name / '*'))
return list(
splitext(basename(f))[0]
for f in modules
if (isfile(f) ... | patli96/COMP9517_20T1 | pedestrian_monitor/console_arguments.py | console_arguments.py | py | 4,198 | python | en | code | 1 | github-code | 36 |
38715734412 | #!/usr/bin/env python3
import re
gates = {}
cache = {}
def ev(gate_id):
if gate_id not in cache:
cache[gate_id] = gates[gate_id].evaluate()
return cache[gate_id]
class ConstantGate:
def __init__(self, value):
self.value = value
def evaluate(self):
if self.value.isnumeric():
... | lvaughn/advent | 2015/7/gates.py | gates.py | py | 2,479 | python | en | code | 1 | github-code | 36 |
27550085200 | import datetime
from imap_tools import EmailAddress
DATA = dict(
subject='double_fields',
from_='kaukinvk@yandex.ru',
to=('aa@aa.ru', 'bb@aa.ru'),
cc=('cc@aa.ru', 'dd@aa.ru'),
bcc=('zz1@aa.ru', 'zz2@aa.ru'),
reply_to=('foma1@company.ru', 'petr1@company.ru', 'foma2@company.ru', 'petr2@company.ru... | ikvk/imap_tools | tests/messages_data/double_fields.py | double_fields.py | py | 1,917 | python | en | code | 608 | github-code | 36 |
32889657187 | import math
import os
from pickle import FALSE, TRUE
import nltk
import string
from nltk.stem import PorterStemmer
import json
import tkinter as tk
from nltk import WordNetLemmatizer
lemmatizer=WordNetLemmatizer()
remove_punctuation_translator = str.maketrans(string.punctuation, ' '*len(string.punctuation))
def stopWor... | mustafabawani/Vector-Space-Model | ajeeb.py | ajeeb.py | py | 4,976 | python | en | code | 0 | github-code | 36 |
23212333774 | from django.test import TestCase
from .models import User, Routine, RoutineContent, Task, Advice, Appointment, DayWeek
from .get import *
from datetime import datetime, timedelta
# Create your tests here.
class getsFunctionTestCase(TestCase):
def setUp(self):
user_a = User.objects.create_user(username='u... | eduardofcabrera/CS50-CalendarDay | day_day/tests.py | tests.py | py | 6,307 | python | en | code | 0 | github-code | 36 |
38767218323 | import streamlit as st
import pandas as pd
import openai
import time
import re
openai.api_key = st.secrets["openai"]
def txt(file):
content = file.getvalue().decode('utf-8')
documents = content.split("____________________________________________________________")
# Removing any empty strings or ones that... | skacholia/AnnotateDemo | main.py | main.py | py | 4,539 | python | en | code | 0 | github-code | 36 |
27648052145 | from sqlalchemy import create_engine, text
db_connection_string = "mysql+pymysql://zi6id5p25yfq60ih6t1y:pscale_pw_OG991jS2It86MJJqrCYvCmcJ5psfFaYkxyOLA9GoTwy@ap-south.connect.psdb.cloud/enantiomer?charset=utf8mb4"
engine = create_engine(db_connection_string,
connect_args={"ssl": {
... | ismaehl-2002/enantiomer-website-v2 | database.py | database.py | py | 579 | python | en | code | 1 | github-code | 36 |
24688793907 | from typing import Sequence
class NetStats:
def __init__(
self, net, input_shape: Sequence[int], backend: str = "torch",
self_defined_imp_class = None
):
if self_defined_imp_class is None:
if backend == "torch":
from reunn.implementation import torch_imp
... | AllenYolk/reusable-nn-code | reunn/stats.py | stats.py | py | 954 | python | en | code | 1 | github-code | 36 |
29947905371 | import requests
class Test_new_joke():
"""Создание новой шутки"""
def __init__(self):
pass
def get_categories(self):
"""Получение категориb шуток"""
url_categories = "https://api.chucknorris.io/jokes/categories"
print("Получение категорий шуток по ссылке - " + url_categ... | Grassh-str/Test_api_ChuckNorris | api_chuck.py | api_chuck.py | py | 2,399 | python | ru | code | 0 | github-code | 36 |
41772303500 | import glob
import json
import subprocess
from utils import PathUtils
from plot_sim_results import plot_multiple_results
EXP_CONFIGS = ['ring_local_config',
'ring_consensus_config']
if __name__ == '__main__':
ring_configs = glob.glob(str(PathUtils.exp_configs_folder) + '/ring' + '/*.py')
for... | matteobettini/Autonomous-Vehicles-Consensus-2021 | run_experiments_ring.py | run_experiments_ring.py | py | 1,084 | python | en | code | 0 | github-code | 36 |
26377040664 | import ast
import os
from django.http import JsonResponse
from django.shortcuts import render, HttpResponse
from django.conf import settings
import json
import commons.helper
# Create your views here.
"""
Google Map
"""
def map_hello_world(request):
"""
Renders a page with embedded Google map. Passes varia... | TAMUSA-nsf-project/django_smartmap | map/views.py | views.py | py | 1,701 | python | en | code | 2 | github-code | 36 |
73435015143 | import numpy
import statsmodels.regression
import statsmodels.tools
import scipy.optimize as opti
import scipy.interpolate as interp
import scipy.signal as signal
import matplotlib.pyplot as plt
class PVP:
def __init__(self, sampling_period=0.01):
self.sampling_period = sampling_period
self._kinem... | jgori-ouistiti/PVPlib | pvplib/core.py | core.py | py | 24,949 | python | en | code | 0 | github-code | 36 |
71918398185 | #! /bin/env python
import sys
particleSize = 0.02
if len(sys.argv) != 2:
print("Usage: " + sys.argv[0] + " <scene txt file>")
else:
# Read the scene file
scene = open(sys.argv[1]).readlines()[1:]
particleString = ''
for l in scene:
loc = [float(x) for x in l.split()]
particleS... | bryanpeele/PositionBasedFluids | frames/makeMitsubaFile.py | makeMitsubaFile.py | py | 775 | python | en | code | 2 | github-code | 36 |
8024443031 | """
You are given an n x n 2D matrix representing an image.
Rotate the image by 90 degrees (clockwise).
Follow up:
Could you do this in-place?
"""
class Solution:
# @param matrix, a list of lists of integers
# @return a list of lists of integers
def rotate(self, matrix):
start = 0
end = l... | cyandterry/Python-Study | Ninja/Leetcode/48_Rotate_Image.py | 48_Rotate_Image.py | py | 1,071 | python | en | code | 62 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.