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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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17058436164 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class PublicAuditStatus(object):
def __init__(self):
self._desc = None
self._status = None
self._type = None
@property
def desc(self):
return self._desc
@d... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/PublicAuditStatus.py | PublicAuditStatus.py | py | 1,649 | python | en | code | 241 | github-code | 13 |
27045558728 | import numpy as np
def construct_LMS_weights(x, y, lr, order, verbose=False):
# initialize weights
w = np.zeros(order).reshape(-1, 1)
# need to basically construct a sliding window that is the size of the filter order over the input signal
for i in range(x.shape[0]):
if i + order == x.shape[... | richiebailey74/Linear_Forecasting | src/weight_generation/lms.py | lms.py | py | 549 | python | en | code | 0 | github-code | 13 |
17060991664 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class TreeData(object):
def __init__(self):
self._cooperation = None
self._num = None
self._tree_alias = None
self._tree_type = None
@property
def cooperation(s... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/TreeData.py | TreeData.py | py | 2,265 | python | en | code | 241 | github-code | 13 |
25580307742 | import glob
import os
import subprocess
import re
from datetime import datetime
from config import *
class TestRunner:
def __init__(self, test_path, target_path, tool="cobertura"):
"""
:param tool: coverage tool (Only support cobertura or jacoco)
:param test_path: test cases directory pat... | ZJU-ACES-ISE/ChatUniTest | src/test_runner.py | test_runner.py | py | 14,549 | python | en | code | 40 | github-code | 13 |
15036459916 | import itertools
import tkinter as tk
from prettytable import PrettyTable
from tkinter import ttk
class Schedule:
def __init__(self, id, name, day1, start_time, end_time, day2=None, start_time2=None, end_time2=None, day3=None, start_time3=None, end_time3=None):
self.id = id
self.name = name
... | mazenS1/schedule-in-python | ScheduleGen.py | ScheduleGen.py | py | 10,514 | python | en | code | 0 | github-code | 13 |
73127232978 | # coding utf-8
import numpy as np
import random
from sklearn.model_selection import train_test_split
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten, BatchNormalization
from keras.layers import Convolution2D, MaxPooling2D, ... | heyiheng1024/SimpleFaceRec | face_train.py | face_train.py | py | 9,146 | python | en | code | 0 | github-code | 13 |
37479877635 | import sys
def isOp(token):
return (token == "+") or (token == "-") or (token == "*") or (token == "/")
def searchDoubleNum(list):
i = 0
while 1:
if (not isOp(list[i])) and (not isOp(list[i+1])):
break
i += 1
if i + 1 > len(list) - 1:
return -1
return i
def calc(op, a1, a2):
if op == "+":
return f... | gurugurugum/Python | Poland.py | Poland.py | py | 1,044 | python | en | code | 0 | github-code | 13 |
13877070004 | '''
Convert List to a String
Ref:
'''
# Python program to convert a list
# to string, Using .join() method
my_list = ['I', 'want', 'four', 'apples', 'and', 'eighteen', 'bananas']
def list_to_string(my_list):
s1=" "
return(s1.join(my_list))
#print(list_to_string(my_list))
'''
Convert String to Words
T... | roja19p/alignment | ace_parser/hari_transform.py | hari_transform.py | py | 855 | python | en | code | 0 | github-code | 13 |
37340099955 | import urllib.request
import os
import subprocess
from bs4 import BeautifulSoup
baseURL = "http://www.talismanwiki.com/"
url = "http://www.talismanwiki.com/Category%3AAdventure_Card_(Revised_4th_Edition)"
content = urllib.request.urlopen(url).read()
soup = BeautifulSoup(content, 'html.parser')
routingURLs = list()... | malexanderboyd/TaliTome | cardScraper.py | cardScraper.py | py | 1,630 | python | en | code | 0 | github-code | 13 |
40131209070 | # -*- coding: utf-8 -*-
class Solution(object):
def reverseWords(self, s):
answer = ""
s = s.split(' ')
for word in s:
for idx in range(len(word)-1, -1, -1):
answer += word[idx]
answer += ' '
#print(answer)
return answer[:... | dlwlstks96/codingtest | LeetCode/557_Reverse Words in a String 3.py | 557_Reverse Words in a String 3.py | py | 398 | python | en | code | 2 | github-code | 13 |
5174301116 | #!/usr/bin/env python
import os
import json
import argparse
import numpy as np
from copy import deepcopy
from itertools import chain
from rbw import shapes, worlds, simulation
from rbw.utils.encoders import NpEncoder
surface_phys = {'density' : 0.0,
'friction': 0.3}
obj_dims = np.array([3.0, 3.0, 1.5... | CNCLgithub/GalileoEvents | scripts/stimuli/create_exp1_dataset.py | create_exp1_dataset.py | py | 4,592 | python | en | code | 1 | github-code | 13 |
24846846878 | from pathlib import Path
from commonroad.common.solution import VehicleType
from stable_baselines3 import PPO
from stable_baselines3.common.torch_layers import FlattenExtractor
from torch import nn
from torch.optim import Adam
from commonroad_geometric.common.io_extensions.scenario import LaneletAssignmentStrategy
fr... | CommonRoad/crgeo | projects/graph_rl_agents/lane_occupancy/project.py | project.py | py | 12,148 | python | en | code | 25 | github-code | 13 |
24990796850 | class Database:
"""Handles the connections to the viri (sqlite) database,
creating it if necessary."""
def __init__(self, db_filename):
import os
self.db_filename = db_filename
self.new_db = not os.path.isfile(db_filename)
def _connect(self):
import sqlite3
retur... | timypcr/viri | libviri/viriorm.py | viriorm.py | py | 6,268 | python | en | code | 0 | github-code | 13 |
1286794007 | import matplotlib.pyplot as plt
import numpy as np
class Glove(object):
def __init__(self, tokens, coocurrence_matrix, word_dimensions=100, x_max=100, alpha=0.75, learning_rate=0.05):
self.tokens = tokens
# note that for the cooccurrence matrix you will probably use a sparse matr... | raphaelgyory/algorithms | glove.py | glove.py | py | 4,701 | python | en | code | 0 | github-code | 13 |
28250116416 | # https://www.programmingexpert.io/programming-fundamentals/assessment/4
def get_n_longest_unique_words(words, n):
# print(words)
# print(n)
valid_words = []
for word in words:
if words.count(word) > 1: #O(len(words))T
continue
sortByLength(valid_words, word)
# pri... | avk-ho/programming_exp | python/assessments/programming_fundamentals/longest_unique_words.py | longest_unique_words.py | py | 837 | python | en | code | 0 | github-code | 13 |
71984715857 | #SWEA 9489번 고대 유적
'''
https://swexpertacademy.com/main/talk/solvingClub/problemView.do?solveclubId=AYXI5IoKVCoDFAQK&contestProbId=AXAd8-d6MRoDFARP&probBoxId=AYYK3r76yQwDFARc&type=USER&problemBoxTitle=%EC%97%B0%EC%8A%B5%28%EC%B6%94%EC%B2%9C%EB%AC%B8%EC%A0%9C%29&problemBoxCnt=19
접근 방법
1. 전체리스트에 패딩을 추가한다
2. 1을 만났을 때 좌우... | euneuneunseok/TIL | SWEA/SWEA_9489_고대유적.py | SWEA_9489_고대유적.py | py | 2,898 | python | ko | code | 0 | github-code | 13 |
24154537804 | def romanToInt(s):
dict = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
minus = {'V': 'I', 'X': 'I', 'L': 'X', 'C': 'X', 'D':'C', 'M':'C', 'Z':'', 'I':''}
str = list(s)[::-1]
prev = 'Z'
result = 0
for l in str:
if l == minus[prev]:
result -= dict[l]
... | ilnazzia/experiments | python_leetcode/0_not_defined/13_easy_2023-05-16.py | 13_easy_2023-05-16.py | py | 429 | python | en | code | 0 | github-code | 13 |
41071625006 | from django.conf import settings
from django.conf.urls import patterns, include, url
from django.contrib import admin
from registration.backends.simple.views import RegistrationView
from beerbookapp.models import UserProfile
# Create a new class that redirects the user to the index page, if successful at logging ... | enzoroiz/beerbook | beerbook/urls.py | urls.py | py | 1,588 | python | en | code | 1 | github-code | 13 |
38615816406 | from importlib import import_module
from threading import Event
from DataManager import executioner
import queue
import datetime
from DBmanager import measurement, localdb
class Node:
def __init__(self, data):
"""
:param data: check documentation.txt for syntax
"""
self.devices = ... | SmartBioTech/PBRcontrol | DataManager/datamanager.py | datamanager.py | py | 4,325 | python | en | code | 1 | github-code | 13 |
21254368016 | class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def buildTree(self, preorder, inorder):
if not inorder:
return None
root_value = preorder[0]
root_index = inorder.index(root_value)
left_no... | sundar91/dsa | Tree/bt-from-inorder-preorder.py | bt-from-inorder-preorder.py | py | 1,348 | python | en | code | 0 | github-code | 13 |
7012789785 | import arcpy
try:
# create a spatial reference object to be used as output coordinate system
spatial_ref = arcpy.Describe("../result/20080829112151_polyline.shp").spatialReference
# use the output of CreateSpatialReference as input to Project tool
# to reproject the shapefile
arcpy.Project_managem... | zhongyu1997/master_thesis_project | mapmatching/(despatched)project.py | (despatched)project.py | py | 696 | python | en | code | 0 | github-code | 13 |
7017376132 | import numpy as np
import json
from scipy.interpolate import interp1d,interp2d
from scipy.special import beta as bfunc
from scipy.special import erf
from astropy.cosmology import Planck15
import astropy.units as u
import sys
sys.path.append('./../code/')
from getData import *
from utilities import calculate_gaussian_2D... | tcallister/autoregressive-bbh-inference | figures/read_O3_LVK_results.py | read_O3_LVK_results.py | py | 19,728 | python | en | code | 3 | github-code | 13 |
73108801617 | # Gabriel Garcia Salvador
# Gustavo Henrique Spiess
# Leonardo Rovigo
# Sidnei Lanser
#PERGUNTAS
# Aplique seu kNN a este problema. Qual é a sua acurácia de classificação?
# R: A acuracia máxima é de 78.33% com 47 acertos e K = 10
# A acurácia pode ser igual a 98% com o kNN. Descubra por que o resultado atual é muito... | lrovigo/bcc_2019_2_IA | Trabalho_4/demoD2.py | demoD2.py | py | 2,719 | python | pt | code | 0 | github-code | 13 |
27736151666 | import os
import tkinter as tk
from tkinter import filedialog, messagebox
import pyttsx3
import speech_recognition as sr
# Function to convert voice to text
def convert_voice_to_text(audio_file_path):
recognizer = sr.Recognizer()
with sr.AudioFile(audio_file_path) as source:
try:
audio = re... | Swapnil-Singh-99/PythonScriptsHub | Voice to text/voice_to_text.py | voice_to_text.py | py | 2,337 | python | en | code | 19 | github-code | 13 |
27125876643 |
import os
import numpy as np
from glob import glob
import skimage as sk
from skimage import morphology as m
from rectpack_utils import place_rectangles
def check_or_create(path):
"""
If path exists, does nothing otherwise it creates it.
Parameters
----------
path: string, path for the creation o... | PeterJackNaylor/CellularHeatmaps | src/repositioning/repositioning.py | repositioning.py | py | 2,772 | python | en | code | 1 | github-code | 13 |
17755307480 | import json
from typing import Dict
from uuid import UUID
from fastapi import FastAPI, HTTPException, status
import httpx
from app.settings.conf import settings
app = FastAPI()
API_URL = settings.offer_ms_api_url
async def authorize() -> Dict:
headers = {"Bearer": settings.refresh_token}
async with httpx.... | Caky123/product-aggregator-v1 | app/external_service/offer_handler.py | offer_handler.py | py | 2,162 | python | en | code | 0 | github-code | 13 |
74443894416 | #Bubble Sort
def selectionSort(arr, n):
for i in range(0, n):
for j in range(i+1, n-1):
if arr[i] > arr[j]:
arr[i], arr[j] = arr[j], arr[i]
return arr
if __name__ == '__main__':
n = int(input("Enter number of elements "))
arr = [x for x in map(int, inp... | hashbanger/Python_Advance_and_DS | BasicAlgorithms/SelectionSort.py | SelectionSort.py | py | 402 | python | en | code | 0 | github-code | 13 |
17173167350 | # Take input
n = int(input())
# Do a binary search to find the result
low = 0
high = n
res = 0
while low <= high:
mid = (low + high) // 2
if mid * (mid + 1) // 2 <= n:
res = mid
low = mid + 1
else:
high = mid - 1
# Print the result
print(res)
| SiddhantAttavar/NPS-INR-Cyber-Programming-2021 | Prelims/Problem6/Solution.py | Solution.py | py | 281 | python | en | code | 1 | github-code | 13 |
74059002898 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 27 15:23:12 2017
@author: socib
"""
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
from matplotlib.patches import Rectangle
import matplotlib.ticker as tick
import matplotlib.dates as mdates
from matplotlib.pyplot import *
... | cmunozmas/processing_logs_thredds | lib/plot_data_trends.py | plot_data_trends.py | py | 4,159 | python | en | code | 1 | github-code | 13 |
27124058199 | # utils.py
# Math library
# Author: Sébastien Combéfis
# Version: February 8, 2018
from scipy.integrate import quad
def fact(n):
"""Computes the factorial of a natural number.
Pre: -
Post: Returns the factorial of 'n'.
Throws: ValueError if n < 0
"""
sum = 1
if n == 0:
return 1
elif n < 0:
raise ValueErro... | Moeuris/AdvancedPython2BA-Labo1 | utils.py | utils.py | py | 1,544 | python | en | code | 0 | github-code | 13 |
3415519930 | # -*- coding: utf-8 -*-
from PyQt5.QtWidgets import (QWidget, QSlider, QApplication, QHBoxLayout, QVBoxLayout)
from PyQt5.QtCore import QObject, Qt, pyqtSignal
from PyQt5.QtGui import QPainter, QFont, QColor, QPen
import sys
class Communicate(QObject):
updateBW = pyqtSignal(int)
class BurningWidget(QWidget):
... | Joker3Chen/Scrapy-Web-Java | Scrapy-Python/custom_comp_module.py | custom_comp_module.py | py | 887 | python | en | code | 0 | github-code | 13 |
41139202989 | from Indicators.TechIndicator import TechnicalIndicator
from talib import STOCH
from pandas import DataFrame
from pandas import concat
__author__ = 'Pedro Henrique Veronezi e Sa'
class TechnicalIndicatorSTOCH(TechnicalIndicator):
"""
Wrapper for the Stochastic from TA-lib
References:
https://githu... | veronezipedro/TechIndicators | Indicators/TechIndSTOCH.py | TechIndSTOCH.py | py | 2,550 | python | en | code | 0 | github-code | 13 |
15064016169 | class Vertex:
def __init__(self, name, latitude, longitude, rating): # a <vertex object> has id and neighbors
self.name=name
self.latitude=latitude
self.longitude=longitude
self.rating=rating
self.neighbors={} #initialize as an empty dictionary
def addNeighbor(self, n... | Ariel-CCH/yelp-recommendation-application | yelp-data-structrues/required.py | required.py | py | 5,510 | python | en | code | 1 | github-code | 13 |
44405823321 | from django.shortcuts import render,redirect
from django.contrib import messages
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.urls import reverse_lazy, reverse
from django.contrib.auth.models import User, auth
from admins.models impor... | subinkhader/Ecommerce | customer/views.py | views.py | py | 8,303 | python | en | code | 0 | github-code | 13 |
14470534921 | import atexit
import bisect
import multiprocessing as mp
from collections import deque
import cv2
import torch
from abandoned_bag_heuristic import SimpleTracker
from detectron2.data import MetadataCatalog
from detectron2.engine.defaults import DefaultPredictor
from detectron2.utils.video_visualizer import VideoVisual... | roym899/abandoned_bag_detection | predictor.py | predictor.py | py | 11,940 | python | en | code | 14 | github-code | 13 |
24296771464 | # -*- coding: utf-8 -*-
"""Convert a plain YAML file with application configuration into a CloudFormation template with SSM parameters."""
import sys
from datetime import datetime
from datetime import timezone
from functools import partial
from functools import wraps
from typing import Callable
from typing import Dic... | garyd203/ssmash | src/ssmash/cli.py | cli.py | py | 9,623 | python | en | code | 1 | github-code | 13 |
8851315914 | #aleart / Confirmation.
from selenium import webdriver
import time
driver=webdriver.Chrome(executable_path="C:\DRIVERS\chromedriver.exe")
driver.get("http://testautomationpractice.blogspot.com/")
driver.maximize_window()
driver.find_element_by_xpath("//button[contains(text(),'Click Me')]").click()
time.sleep(5... | Basavakiran134/Simplilearn | PopUps.py | PopUps.py | py | 399 | python | en | code | 0 | github-code | 13 |
16879682787 | def replace_space(s, l):
new_s = ""
for i in range(l):
if s[i] != " ":
new_s += s[i]
else:
new_s += "%20"
return new_s
def reverse_remove_space(s, l):
ch_list = list(s)
new_i = len(ch_list)
for i in reversed(range(l)):
if ch_list[i] == " ":... | melanietai/leetcode-practice | array_and_strings/replace_space.py | replace_space.py | py | 729 | python | en | code | 0 | github-code | 13 |
16349992190 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 26 16:51:38 2021
This is the code for tesing PCA(max in projection variance)
@author: Yingjian Song
"""
from Principle_component_analysis import Principle_Component_Analysis as PCA
import matplotlib.pyplot as plt
from sklearn import datasets
import numpy as np
# prepar... | syj63016/Machine-Learning | machine_learning/PCA/PCA_test.py | PCA_test.py | py | 1,474 | python | en | code | 2 | github-code | 13 |
26268807778 | #Circular Primes
import random
from itertools import permutations
def check_prime(n):
num_checks = 300
check_list = [2, 3, 5, 7, 11]
if n in check_list:
return True
for i in range(num_checks): # Fermat's Little Theorem
random_num = random.randint(2, n - 1)
if pow(random_nu... | nezawr/ProjectEuler | Problem35.py | Problem35.py | py | 700 | python | en | code | 0 | github-code | 13 |
74252424978 |
OP_REQSIZE = [0, 0, 2, 2, 2, 2, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 2, 2, 0, 1, 1, 0, 0, 2, 1, 0]
OP_STACKDEL = [0, 0, 2, 2, 2, 2, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 2, 2, 0, 1, 1, 0, 0, 0, 0, 0]
OP_STACKADD = [0, 0, 1, 1, 1, 1, 0, 1, 2, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 0, 0]
VAL_QUEUE = 21
VAL_PORT = 27
STORAGE_COU... | Algy/aheui-cc | const.py | const.py | py | 910 | python | en | code | 25 | github-code | 13 |
71831387858 | #!/usr/bin/env python3
'''
Developed By: Dhanish Vijayan
Company: Elementz Engineers Guild Pvt Ltd
https://www.elementzonline.com/blog/running-mqtt-broker-in-raspberry-pi
addapted by David Torrens (https://github.com/grayerbeard/mqtt) based on info from
http://www.steves-internet-guide.com/into-mqtt-python-client/
Was... | grayerbeard/mqtt | test_subscribe.py | test_subscribe.py | py | 2,565 | python | en | code | 0 | github-code | 13 |
15271436799 | from utils import *
import os
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from collections import Counter
sns.set(style="darkgrid")
save_name = "log/histogram.png"
def create_entity_dicts(all_tuples):
e1_to_multi_e2 = {}
e2_t... | ChunhuaLiu596/CommonsenseKG | OpenEA/run/statistics/degree_interval.py | degree_interval.py | py | 14,521 | python | en | code | 2 | github-code | 13 |
30839852232 | import albumentations as albu
import segmentation_models_pytorch as smp
logs_path = '/wdata/segmentation_logs/'
folds_file = '/wdata/folds.csv'
load_from = '/wdata/segmentation_logs/fold_1_siamse-senet154/checkpoints/best.pth'
multiplier = 5
main_metric = 'dice'
minimize_metric = False
device = 'cuda'
val_fold = 1
fo... | chenliang1111CL/change-detection | SpaceNet7_Multi-Temporal_Solutions-master/5-MaksimovKA/code/config.py | config.py | py | 1,299 | python | en | code | 0 | github-code | 13 |
24770375449 | """
Calculate the RDF M - O RDF from a trajectory given as xyzs. The metal atom must be the first in the file
first argument is the filename the second is the box size in angstroms
"""
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import argparse
import crdfgen
from scipy.integ... | t-young31/MDutils | MDutils/rdfgen.py | rdfgen.py | py | 6,512 | python | en | code | 1 | github-code | 13 |
26863184795 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('countries', '0004_auto_20150903_0156'),
]
operations = [
migrations.AlterField(
model_name='chart',
... | sentinel-project/sentinel-app | sentinel/countries/migrations/0005_auto_20150905_1915.py | 0005_auto_20150905_1915.py | py | 740 | python | en | code | 0 | github-code | 13 |
35441253060 | # minzhou@bu.edu
def sort_in_place(arr):
n = len(arr)
for i in range(n):
for j in range(0, n - i - 1):
if arr[j] > arr[j + 1]:
arr[j], arr[j + 1] = arr[j + 1], arr[j]
def move_left(arr):
n = len(arr)
i = -1
for j in range(n):
if (arr[j] > 0):
... | minzhou1003/intro-to-programming-using-python | practice7/additional_problem5.py | additional_problem5.py | py | 586 | python | en | code | 0 | github-code | 13 |
11586760774 | from mas.psf_generator import PhotonSieve, PSFs
from mas.forward_model import add_noise, get_measurements
from mas.data import strands
from mas.measure import compare_ssim
from bayes_opt import BayesianOptimization
from mas.deconvolution import ista
import numpy as np
from matplotlib import pyplot as plt
# %% problem ... | UIUC-SINE/old_website | content/reports/csbs_4modes/bayesian_optimization/bayesian_ista.py | bayesian_ista.py | py | 2,349 | python | en | code | 1 | github-code | 13 |
9494269054 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from enum import Enum, unique
"""
-------------------------------------------------------
|value | observerTypeEnum |
-------------------------------------------------------
| "*" | observerTypeEnum.state |
... | fredericklussier/ObservablePy | observablePy/ObserverTypeEnum.py | ObserverTypeEnum.py | py | 1,298 | python | en | code | 0 | github-code | 13 |
70303036497 | import random
import math
# removed the menu stuff because I want to just work these exercises and get to my own projects for now.
# this is more of my own learning practice and I'll be adding in some more complex stuff like unit testing
# print statements (yes, I did look up redirecting sys.stdout and using doctest),... | marinme/learning | Magic 8 Ball/magic.py | magic.py | py | 940 | python | en | code | 0 | github-code | 13 |
9036791408 | from odoo import models, fields, api
class Vehicle(models.Model):
_name = "vehicle"
_inherit = ['mail.thread','mail.activity.mixin']
_description = "Mantenimiento de vehiculos"
tipo_vehiculo = fields.Selection([
('50 pasajeros', '50 Pasajeros'),
('30 pasajeros', '30 Pasajeros'... | OnilyValera/Transportation-Odoo | transportacion/models/vehicle.py | vehicle.py | py | 1,162 | python | en | code | 1 | github-code | 13 |
12832534745 | #Realizar un programa que sea capaz de convertir los grados centígrados en grados Farenheit y viceversa.
celsius=0
farenheit=0
#Pedir grados celsius
celsius=float(input("Introduce los grados celsius:"))
#Realizar la operación
farenheit=1.8*celsius+32
#Dar el resultado
print("El resultado es",farenheit, " grados Faren... | Jorgediiazz/EjerciciosPython | ej2.py | ej2.py | py | 328 | python | es | code | 0 | github-code | 13 |
70196268177 | from selenium import webdriver
import time
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException, ElementClickInterceptedException
# log in w/ facebook, so we need your fb credentials here
EMAIL = "YOUR_FB_EMAIL"
PWD = "YOUR_FB_PWD"
TINDER_URL = "https://tinder.c... | erinfeaser311/automated-tinder-swipe-right-bot | main.py | main.py | py | 2,192 | python | en | code | 0 | github-code | 13 |
4682819282 | # 4
# 0 0 0 0
# 0 1 0 0
# 0 0 0 1
# 1 0 0 0
grid = []
rows = int(input())
for _ in range(rows):
grid.append(list(map(int,input().split())))
dp = [[0]*rows]*rows
n = rows-1
for i in range(n,-1,-1):
for j in range(n,-1,-1):
if (i==j and i==n):
dp[i][j] = 1
else:... | SatyasaiNandigam/competitive-coding-solutions | grid_ways.py | grid_ways.py | py | 590 | python | en | code | 0 | github-code | 13 |
28376417289 | import numpy as np
class vec_spin:
def __init__(self,s):
Vectorx =[0.5* np.sqrt((a - 1) * (2 *s + 2 - a))for a in range(2, int((2 * s) + 2))]
Vectory = [0.5j * np.sqrt((a - 1) * (2 * s + 2 - a))for a in range(2, int((2 * s) + 2))]
Vectorz = [(s+1 -a) for a in range(1, int((2 * s)... | aszpatowski/JSP2019 | pythonforscientist/zadaniestare.py | zadaniestare.py | py | 2,684 | python | en | code | 0 | github-code | 13 |
10844848112 | from ally.container.ioc import injected
from ally.design.context import Context, defines, requires, optional
from ally.design.processor import HandlerProcessorProceed
from ally.http.spec.server import IDecoderHeader, IEncoderHeader
from collections import deque, Iterable
import re
# -----------------------------------... | galiminus/my_liveblog | components/ally-http/ally/http/impl/processor/header.py | header.py | py | 8,635 | python | en | code | 0 | github-code | 13 |
3462581591 | import datetime
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import smtplib
host = "smtp.gmail.com"
port = 587
username = "abcdef18032015@gmail.com"
password = "Shubham96"
from_ = username
to_list = "abcdef18032015@gmail.com"
class MessageUser():
user_details = []
messa... | shubhammuramkar/pythonwork | data/message.py | message.py | py | 3,062 | python | en | code | 0 | github-code | 13 |
8628272064 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'dataset', views.dataset, name='dataset'),
url(r'paper', views.paper, name='paper'),
url(r'about', views.about, name='about'),
url(r'keywords', views.keywords, name='keywords'),
url(r'annotatio... | wujindou/SMA | sma/urls.py | urls.py | py | 569 | python | en | code | 0 | github-code | 13 |
20848920543 | from django.contrib.auth.decorators import (
login_required,
permission_required,
)
from django.contrib.auth.mixins import (
LoginRequiredMixin,
PermissionRequiredMixin,
)
from django.db.models import Q
from django.shortcuts import (
get_object_or_404,
redirect,
render,
)
from django.utils i... | ftnext/nextstep_djangogirls_tutorial | apps/blog/views.py | views.py | py | 2,569 | python | en | code | 0 | github-code | 13 |
20529071390 | import matplotlib.pyplot as plt
# prepare data values
sclices = [7,2,2,13]
activities = ['sleeping','eating','working','playing']
# draw a pic
plt.pie(sclices,labels=activities,autopct='%1.1f%%')
plt.title('Pie Graph')
plt.show() | lesenelir/LshAIWorkPrograms | MatplotlibwwL/plt05-pyplot-pie.py | plt05-pyplot-pie.py | py | 233 | python | en | code | 0 | github-code | 13 |
16471972933 | from db import RedisClient
from crawler import Crawler
from setting import *
import sys
class Fetcher:
def __init__(self):
self.redis = RedisClient()
self.crawler = Crawler()
def is_over_threshold(self):
"""
判断是否达到了代理池数量上限
"""
if self.redis.count() >= POOL_... | qingchunjun/proxy_pool | fetcher.py | fetcher.py | py | 885 | python | en | code | 5 | github-code | 13 |
13897936248 | from django.contrib.auth import get_user_model
from django.db import transaction
from rest_framework import serializers
from scholarships.models import RequiredDocument, Scholarship
User = get_user_model()
class RequiredDocumentSerializer(serializers.ModelSerializer):
class Meta:
model = RequiredDocumen... | javierdiazp/scholarships | scholarships/serializers.py | serializers.py | py | 2,434 | python | en | code | 0 | github-code | 13 |
11443346307 | import torch.utils.data as data
import numpy as np
import pickle
import os
__author__ = "Rana Hanocka"
__license__ = "MIT"
__maintainer__ = "Francis Rhys Ward"
"""
Modifications made to: collate_fn
Functionality: padding of meshes to same size in same batch
"""
class BaseDataset(data.Dataset):
def __init__(self... | andwang1/BrainSurfaceTK | models/MeshCNN/data/base_dataset.py | base_dataset.py | py | 2,847 | python | en | code | 11 | github-code | 13 |
2846964410 | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_restx import Api, Resource
from flask_swagger_ui import get_swaggerui_blueprint
app = Flask(__name__)
# Initialize Flask-RestX API
api = Api(app, version='1.0', title='Task Management API', d... | RawadKadi/task-management-api | app.py | app.py | py | 4,128 | python | en | code | 0 | github-code | 13 |
43298584459 | # Visualize a single character in an OpenGL window (python)
# https://stackoverflow.com/questions/60738691/visualize-a-single-character-in-an-opengl-window-python
import os
import sys
import numpy
import freetype
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.GLUT import *
os.chdir(os.path.join(os.path.d... | Rabbid76/graphics-snippets | example/python/legacy_opengl/text_freetype_hello_world.py | text_freetype_hello_world.py | py | 3,101 | python | en | code | 172 | github-code | 13 |
17617504156 | import random
import math
class Ball:
def __init__(self, ball, vector):
self.x = 1
self.y = 1
self.vector = vector
self.speed = None
self.iterations = 1000
self.random_direction = random.randrange(0, 2)
# generate random coordinates here
randX = ra... | Zidane8998/PyGene | game_objects/ball.py | ball.py | py | 2,616 | python | en | code | 0 | github-code | 13 |
23606178529 | #@ type: compute
#@ parents:
#@ - func1
#@ - func2
#@ - func3
#@ - func4
#@ corunning:
#@ mem2:
#@ trans: mem2
#@ type: rdma
import struct
import pickle
from typing import List
import cv2
import numpy as np
INPUT1 = "data/predict_store"
INPUT2 = "data/boxes_store"
class Box:
def __init__(self,... | zerotrac/CSE291_mnist | Mnist_test/func5.py | func5.py | py | 2,468 | python | en | code | 2 | github-code | 13 |
21328638809 | # usage:
# python3 train_model.py --train_data /Users/joshgardner/Documents/UM-Graduate/UMSI/LED_Lab/s17/model_build_infrastructure/job_runner/1496853720-josh_gardner-clinicalskills/week_3/week_3_sum_feats.csv --output_loc .
from sklearn import linear_model
import argparse
import pandas as pd
from sklearn.externals im... | educational-technology-collective/xing-replication | xing/modeling/deprecated/train_model.py | train_model.py | py | 1,543 | python | en | code | 0 | github-code | 13 |
3285426157 | from project import socketio, app
from project.model.subscriber.smart_tv_subscriber import SmartTvSubscriber
from project.model.publisher.smart_tv_publisher import SmartTvPublisher
from project.model.service.smart_tv_service import SmartTvService
from flask import request, jsonify
from time import sleep
import random
f... | BabyMonitorSimulation/BabyMonitorSoS | project/controller/smart_tv_controller.py | smart_tv_controller.py | py | 1,575 | python | en | code | 0 | github-code | 13 |
18528042152 | # DESCRIPTION:
# Given a string of numbers, you must perform a method in which you will
# translate this string into text, based on the phone keypad.
#
# For example if you get "22" return "b", if you get "222" you will return "c".
# If you get "2222" return "ca".
#
# Further details:
#
# 0 is a space in the string.
# ... | Darya-Kuzmich/my-codewars-solutions | 6_kyu/phonewords.py | phonewords.py | py | 2,204 | python | en | code | 0 | github-code | 13 |
35540500800 | # This script will allow you to:
# 1. Choose by 4 color bands (tell me a value)
# 2. Choose by value (tell me colors)
# TODO:
# make it easier to read the ohm value. for example:
# 300000000 --> 300,000,000 ohms.
# or 300000000 --> 300M ohms
# currently the value is printed as: 300000000.0
from os import system
i... | ejrach/my-python-utilities | ResistorConverter/resistor-converter.py | resistor-converter.py | py | 6,426 | python | en | code | 0 | github-code | 13 |
30606742026 | #NB: python is case sensitive
class clsCoordinate:
def __init__(self, xx,yy,zz):
key = 0
self.x = xx
self.y = yy
self.z = zz
def ptStr2(self):
return( format(self.x,'.4f') + ',' + format(self.y,'.4f') )
def ptStr(self):
return( format(self.x,'.4f') + ',' +... | Metamorphs96/cadd | python/MkScript1.py | MkScript1.py | py | 2,797 | python | en | code | 0 | github-code | 13 |
28619585410 | import platform
import logging
import asyncio
from bleak import BleakClient
from bleak import BleakClient
from bleak import _logger as logger
from bleak.uuids import uuid16_dict
from adq import Adq_save, time, graf, show, sleep
from threading import Thread
UART_TX_UUID = "6e400002-b5a3-f393-e0a9-e50e24dcca... | Gwerr1002/ip_22o | IMU/marcha1/readESP32.py | readESP32.py | py | 3,024 | python | en | code | 0 | github-code | 13 |
72337987539 | """Set configuration for the model
"""
import argparse
import multiprocessing
import torch
def str2float(s):
if '/' in s:
s1, s2 = s.split('/')
s = float(s1)/float(s2)
return float(s)
def parser_setting(parser):
"""Set arguments
"""
base_args = parser.add_argument_group('base argu... | lepoeme20/Adversarial-Detection | config.py | config.py | py | 7,062 | python | en | code | 0 | github-code | 13 |
3922552755 | import argparse
import json
from typing import Mapping
from typing import Tuple
import jschon
from ._main import process_json_doc
from ._yaml import create_yaml_processor
from ._yaml import YamlIndent
def _make_parser(*, prog: str, description: str) -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(
... | ikonst/jschon-sort | jschon_tools/cli.py | cli.py | py | 2,994 | python | en | code | 3 | github-code | 13 |
35909073758 | from datetime import datetime
from uuid import uuid4
from app.domain.entities.enrolment import Enrolment
def test_enrolment_init():
"""
Ensure the enrollment data matches constructor values
and the status is appropriately set.
"""
# dummy values
e = str(uuid4())
k = str(uuid4())
ir = ... | ACWIC/employer-callback | tests/domain/entities/test_enrolment.py | test_enrolment.py | py | 624 | python | en | code | 0 | github-code | 13 |
35401680575 | import unittest
import warnings
try:
# Suppress warning from inside tensorflow
warnings.filterwarnings("ignore", message="module 'sre_constants' is deprecated")
import tensorflow as tf
tf.random.set_seed(1234)
except ImportError:
tf = None
from matrepr import to_html, to_latex, to_str
def gener... | alugowski/matrepr | tests/test_tensorflow.py | test_tensorflow.py | py | 2,963 | python | en | code | 3 | github-code | 13 |
21374406472 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 17 12:42:46 2018
@author: Keerthi
"""
import numpy as np
import cv2
import time
img = cv2.imread('lena_gray.jpg', 0)
img_arr= np.asarray(img)
gx1 = np.random.rand(101,1)
gx2 = np.random.rand(1,101)
K = gx1.shape[0]
L = gx2.shape[1]
N = img_arr.shape[0]
M = img_arr... | keerthana-kannan/UB-Projects | computer vision/PA1/1d_101.py | 1d_101.py | py | 1,049 | python | en | code | 0 | github-code | 13 |
17113938934 | import logging
import gzip
import re
import time
import requests
from dotenv import load_dotenv
from os import environ, makedirs, path, remove
import shutil
from agr_literature_service.lit_processing.utils.sqlalchemy_utils import create_postgres_session
from agr_literature_service.lit_processing.data_ingest.pubmed_ing... | alliance-genome/agr_literature_service | agr_literature_service/lit_processing/data_ingest/pubmed_ingest/pubmed_update_references_all_mods.py | pubmed_update_references_all_mods.py | py | 6,731 | python | en | code | 1 | github-code | 13 |
36929261535 | from utils import *
from loader import *
from config import *
from segmentation_models_pytorch import UnetPlusPlus
import torch
import numpy as np
import torch.optim as optim
from tqdm import tqdm
import torch.nn as nn
from torch.utils.data import DataLoader
from torch.autograd import Variable
from torch.optim.lr_sc... | Rituraj-commits/Semantic-Segmentation | train.py | train.py | py | 4,951 | python | en | code | 7 | github-code | 13 |
20524269740 | import hashlib
input = "qzyelonm"
input = "abc"
index = 0
found = 0
def hash(str2hash):
result = hashlib.md5(str2hash.encode())
return result.hexdigest().lower()
def next1000(r):
for j in range(1000):
result2 = hash(input + str(index + 1 + j))
for k in range(len(result2)-4):
... | Lesley55/AdventOfCode | 2016/14/part1.py | part1.py | py | 994 | python | en | code | 1 | github-code | 13 |
39248832582 | def build_response_dictionary(response):
"""
Builds a dictionary with the following format,
{'question_id':'answer'}
"""
question_ids = response.poll_response_questions.split(",")
question_answers = response.poll_response_answers.split(",")
response = {}
for i in range(0, len(question_id... | porowns/geopoll | utils/poll.py | poll.py | py | 956 | python | en | code | 0 | github-code | 13 |
11598986930 | #!/usr/bin/env python3
# vim: ts=4 sw=4 et:
'''
cli implementations of many mutagen metadata functions,
created for several compressed audio formats, with the
intention of mainly being used to tag recordings of live
concerts, & convert filepaths to tags or tags to filenames
'''
import re
import sys
imp... | balinbob/spatter | libspatter/spatter.py | spatter.py | py | 11,979 | python | en | code | 0 | github-code | 13 |
38586812823 | # GetAppStats
#
import requests
import os
import datetime, time
import mysql.connector as mysql
from biokbase.catalog.Client import Catalog
from biokbase.narrative_method_store.client import NarrativeMethodStore
requests.packages.urllib3.disable_warnings()
"""
THIS IS A SCRIPT MADE TO BACKFILL THE QUEUE TIMES FOR THE ... | kbase/metrics | source/custom_scripts/backfill_app_stats_queue_times.py | backfill_app_stats_queue_times.py | py | 5,518 | python | en | code | 1 | github-code | 13 |
73607397456 | from typing import Iterable, Optional, TypeVar
import torch
from torcheval.metrics.functional.classification.precision import (
_binary_precision_update,
_precision_compute,
_precision_param_check,
_precision_update,
)
from torcheval.metrics.metric import Metric
TPrecision = TypeVar("TPrecision")
TBi... | pytorch/torcheval | torcheval/metrics/classification/precision.py | precision.py | py | 8,095 | python | en | code | 155 | github-code | 13 |
29030579564 | # -*- coding: utf-8 -*-
from dateutil import parser
import datetime
import matplotlib.colors as colors
import matplotlib.cm as cmx
import matplotlib.pylab as pl
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.font_manager as fm
import operator
from matplotlib import ... | Bourshevik0/Astronaut-Mission-Time | Astronaut_Times.py | Astronaut_Times.py | py | 12,074 | python | en | code | 0 | github-code | 13 |
6699028187 | from distutils.file_util import write_file
from multiprocessing import managers
import re
import csv
import nltk
from nltk.corpus import stopwords
import time
from ast import literal_eval
from datascience import *
import math
class text_filter():
def __init__(self,language):
self.language=lang... | Javier2405/nl-processing | nl_processing.py | nl_processing.py | py | 11,234 | python | en | code | 0 | github-code | 13 |
14478731454 | vertlg = run.recipe
fig, ax = plt.subplots(figsize=(8 ,8), subplot_kw=dict(aspect="equal",anchor='SE'))
#
data = [float(x.split()[0]) for x in vertlg]
ingredients = [x.split()[-1] for x in vertlg]
data = run.ser
print(data)
ingredients = ["Furcht\n Angst",
"Vertrauen\n Akzeptanz",
" ... | pdittric/g_repo | donut_plot.py | donut_plot.py | py | 1,361 | python | en | code | 0 | github-code | 13 |
72063070419 | '''
weight_in_lb =input('How much do you weigh in pounds? ')
weight_in_kg = 0.453592 * float(weight_in_lb)
weight_in_kg = str(weight_in_kg)
print('You weigh ' + weight_in_kg + 'Kg ')
'''
weight = input('What is your weight?')
unit = input('(L)bs or (K)g ? ')
if unit.lower() == 'l':
weight = 0.45 * int(weight)
... | 1realjoeford/learning-python | Exercises/weightconverter.py | weightconverter.py | py | 445 | python | en | code | 1 | github-code | 13 |
16429457481 | import subprocess,logging
from multiprocessing import Process, Queue
import sys,os,tempfile
sys.path.insert(0,os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from geotaste.imports import *
from dash.testing.application_runners import import_app
from selenium import webdriver
from selenium.common.exceptions... | Princeton-CDH/geotaste | tests/test_app.py | test_app.py | py | 13,301 | python | en | code | 0 | github-code | 13 |
39148463108 | #!/bin/python3
#https://www.hackerrank.com/challenges/beautiful-binary-string/problem
import sys
def minSteps(n, B):
#string = ""
count = 0
i = 0
while i <= n - 3:
if B[i] == 0 and B[i + 1] == 1 and B[i + 2] == 0:
B[i + 2] = 1
count += 1
#string += str(B[i]... | saumya-singh/CodeLab | HackerRank/Strings/Beautiful_Binary_String.py | Beautiful_Binary_String.py | py | 589 | python | en | code | 0 | github-code | 13 |
38765272715 | import requests
import json
token = "MEDQ5xp/hAlwDei/yjIB2AlB38LRfEoVw9l40ge7tVO812AJ1oBn1wF7sAX9/uqN04K0hIbclbI//FIrFQrg6uWZk75yFI6LGO3sQ7EgOJAuBWuFFQfvKf8ZxBoRif3BvNPx3au68NAhH/UdP0jMqCOZ3Dnkp0DpaNpYUwS1nM8vNeC6l96tt8f0e0GW/3UtSaBg4PzK5SU8FTlXLCyL+YpObBmdrirCb5VsWy1nAbLkFESaVXEmwKOSB59kd"
base_uri = "https://www.mo... | MarcScott/dungeons_and_dragons_client | dandipy/dandi.py | dandi.py | py | 1,496 | python | en | code | 0 | github-code | 13 |
2865229430 | def select_sort(alist):
"""
Алгоритм сортування вибором
"""
list_sort = []
while len(alist):
for x in alist:
if x == min(alist):
list_sort.append(x)
alist.remove(x)
return list_sort
l = [5, 6, 21, 1, 2, 1, 15, 3, 7, 16]
prin... | slavkoBV/solved-tasks-SoftGroup-course | list_sort.py | list_sort.py | py | 1,916 | python | en | code | 1 | github-code | 13 |
23460490813 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from 爬虫.scrapy_lianjia.scrapy_lianjia import settings
import pymysql
from 爬虫.scrapy_lianjia.scrapy_lianjia.items import Scrapyl... | liuaichao/python-work | 爬虫/scrapy_lianjia/scrapy_lianjia/pipelines.py | pipelines.py | py | 1,294 | python | en | code | 6 | github-code | 13 |
70059112339 | #!/usr/bin/env python
""" Node label check for OpenShift V3 """
# Adding the ignore because it does not like the naming of the script
# to be different than the class name
# pylint: disable=invalid-name
# pylint: disable=wrong-import-position
# pylint: disable=broad-except
# pylint: disable=line-too-long
import argp... | openshift/openshift-tools | scripts/monitoring/cron-send-node-labels-status.py | cron-send-node-labels-status.py | py | 8,303 | python | en | code | 161 | github-code | 13 |
21278400370 | import pandas as pd
import numpy as np
import os
import sys
import urllib
import argparse
from bs4 import BeautifulSoup
from tqdm import tqdm
import glob
import shutil
import numpy as np
import pandas as pd
from sklearn import *
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_samples, silho... | ejp-lab/EJPLab_Computational_Projects | PhotoCrosslinking/SecondaryFiltering_GOClustering.py | SecondaryFiltering_GOClustering.py | py | 8,137 | python | en | code | 9 | github-code | 13 |
15864958487 | """parkpow URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-ba... | senwebdev/parking-power | parkpow/urls.py | urls.py | py | 1,852 | python | en | code | 0 | github-code | 13 |
3608500531 | import json
from time import sleep
from werkzeug.serving import run_simple
from werkzeug.wrappers import Request, Response
from app.config import ConfigReader
from app.iptables import IPTables
from app.logging import get_logger
from app.storage import Storage
from app.utils import is_valid_ip, is_valid_uuid4, resolve... | radupotop/opensesame | api/api.py | api.py | py | 1,916 | python | en | code | 1 | github-code | 13 |
41963359913 | from unittest import TestCase
from py_stringmatching import SoftTfIdf, Jaro, JaroWinkler
from preprocessing.preprocessing import bag_of_words
from preprocessing.word_vector_similarity import WordVectorSimilarity
class TestWordVectorSimilarity(TestCase):
s1_simple = 'Ursin Brunner Tester Nonexisting'
s2_sim... | brunnurs/PA1 | preprocessing/test_wordVectorSimilarity.py | test_wordVectorSimilarity.py | py | 2,881 | python | en | code | 0 | github-code | 13 |
3440316452 | from TrainStationClass import TrainStationLogic
class WagonLogic: #Waggons werden an Züge angehängt
def __init__(self, pStartTrainstation, pEndTrainstation, pType, pPlayer):
self.capacity = 50
self.type = pType
self.amount = 0
self.startTrainstation = pStartTrainstation
se... | davidtraum/swt | game/src/server/WagonClass.py | WagonClass.py | py | 2,282 | python | en | code | 2 | github-code | 13 |
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