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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
5559929525 | import requests
import json
import time
from pygame import mixer
#Enter your url here and enjoy your free offer!!
url = 'https://www.cricbuzz.com/match-api/21859/commentary.json'
f = 0
c = time.time()
while True:
try:
current_scorecard = requests.get(url).json()['score']['prev_overs']
except:
mixer.init()
mixe... | smit2k14/SWIGGY6 | SWIGGY6.py | SWIGGY6.py | py | 561 | python | en | code | 1 | github-code | 36 |
34678033656 | import logging
import re
from streamlink.plugin import Plugin, pluginmatcher
from streamlink.stream import HLSStream
log = logging.getLogger(__name__)
@pluginmatcher(
re.compile(r"https?://(?:www\.)?auftanken\.tv/livestream/?")
)
class AuftankenTV(Plugin):
_hls_url_re = re.compile(r"(https://.+?/http_adapti... | oe-mirrors/streamlink-plugins | auftanken.py | auftanken.py | py | 753 | python | en | code | 1 | github-code | 36 |
17164740168 | from sqlite3 import Error as sqliteError
from sqlite3 import OperationalError as sqliteOperationalError
from loggingSystem import LoggingSystem
import sqlite3,sys,os,time
from typing import Union
class ProcessamentoSqlite:
def __init__(self,sqlite_db="./initial_db.db",sql_file_pattern="scripts/sqlitePattern.sql", ... | mzramna/algoritimo-de-testes-de-benchmark-de-bancos-de-dados | scripts/processamentoSqlite.py | processamentoSqlite.py | py | 7,284 | python | en | code | 0 | github-code | 36 |
5127076250 | # coding:utf-8
import numpy as np
from chainer import cuda, Function, gradient_check, report, training, utils, Variable
from chainer import datasets, iterators, optimizers, serializers
import chainer.functions as F
import chainer.links as L
import sys
import argparse
import _pickle as pickle
import MeCab
from LSTM imp... | SPJ-AI/lesson | text_generator/generate.py | generate.py | py | 2,202 | python | en | code | 6 | github-code | 36 |
25625597173 | class Node:
def __init__(self,val):
self.val = val
self.children = []
class Solution:
def maxAvg(self,node):
if node is None:
return None
else:
self.ans = float('-inf')
def helper(node):
if node is None:
ret... | Akashdeepsingh1/project | 2020/Max Avg Subtree.py | Max Avg Subtree.py | py | 806 | python | en | code | 0 | github-code | 36 |
33214014538 | import torch
import torch.nn.functional as F
from torch.autograd import Variable
import torch.nn as nn
# Credict: https://github.com/kefirski/pytorch_Highway
class Highway(nn.Module):
def __init__(self, size, num_layers, f):
super(Highway, self).__init__()
self.num_layers = num_layers
se... | dwaydwaydway/KKStream-Deep-Learning-Workshop | Model.py | Model.py | py | 3,619 | python | en | code | 0 | github-code | 36 |
6848009196 | from django.shortcuts import render, redirect
from users.forms import CustomUserCreationForm, CustomUserChangeForm
from django.contrib.auth.decorators import login_required
from users.models import CustomUser
# Create your views here.
@login_required(login_url='/login/')
def home(request):
"""show users view"""
... | sistematizaref/lecesse | lecesse/users/views.py | views.py | py | 1,771 | python | en | code | 0 | github-code | 36 |
33161621406 | import csv
from scipy.interpolate import interp1d
from typing import Dict
def app() -> None:
# Separated govt bonds and c bonds because calculating benchmark yield spread
# checks 1 corporate bond against all govt bonds
f_name = input("csv name (with.csv): ")
g_bonds, c_bonds = load_csv(f_name)
p... | shermansjliu/overbond-dev-test-submission | app.py | app.py | py | 3,333 | python | en | code | 0 | github-code | 36 |
7182787702 | #!/usr/bin/env python
# encoding: utf-8
#
# facke-guider.py
#
# Created by José Sánchez-Gallego on 29 Mar 2017.
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import opscore
from opscore.protocols.parser import CommandParser
from opscore.utility.qstr impo... | albireox/lcoHacks | python/lcoHacks/fake-guider.py | fake-guider.py | py | 12,732 | python | en | code | 0 | github-code | 36 |
36086641490 | #!/usr/bin/python3
#################################
## Author: Heini Bergsson Debes
#################################
# Purpose is to:
# (1) encode the adjacency list (optionally padded)
# (2) get the hash of the encoded adjacency list, translator, and recorded execution path (after padding)
# (3) format inputs for ZE... | HeiniDebes/ZEKRA | scripts/circuit_input_formatter.py | circuit_input_formatter.py | py | 26,081 | python | en | code | 5 | github-code | 36 |
9817545855 | from PyQt5 import QtGui
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QWidget
import ResourceNavigator
from back.css.style import cssLoader
from back.osuLoader.AppBackend import AppBackendInit
from view.window.osuLoader.layout.OsuLoaderWindowLayout import OsuLoaderWindowLayout
class OsuLoaderWindow(QWidg... | animousen4/osuLoader-2.0 | view/window/osuLoader/OsuLoaderWindow.py | OsuLoaderWindow.py | py | 1,590 | python | en | code | 0 | github-code | 36 |
15974646573 | # *-* coding: utf-8 *-*
"""
Created on dim 07 fév 2021 09:27:34 UTC
@author: vekemans
"""
import time
import math as mt
import numpy as np
import scipy.sparse as spr
import matplotlib.pyplot as plt
nfig = 1
pi = mt.pi
# -----------------------------------------------
# Orginal Signal
N = np.power(2,12)
h = 2*pi / ... | abbarn/lmeca2300 | homeworks/p1.py | p1.py | py | 1,733 | python | en | code | 0 | github-code | 36 |
17894590970 | import collections
import time
from typing import Any, Dict
from absl import logging
import numpy as np
import robustness_metrics as rm
from sklearn.metrics import accuracy_score
from sklearn.metrics import auc
from sklearn.metrics import log_loss
from sklearn.metrics import precision_recall_curve
from sklearn.metrics... | google/uncertainty-baselines | baselines/diabetic_retinopathy_detection/utils/eval_utils.py | eval_utils.py | py | 52,854 | python | en | code | 1,305 | github-code | 36 |
19090035035 | from datetime import datetime
from ueaglider.data.db_session import create_session
from ueaglider.data.db_classes import Pins, Audit, Missions, Targets, Gliders, Dives, ArgosTags
from ueaglider.services.argos_service import tag_info
from ueaglider.services.glider_service import glider_info
from ueaglider.services.user... | ueaglider/ueaglider-web | ueaglider/services/db_edits.py | db_edits.py | py | 4,822 | python | en | code | 0 | github-code | 36 |
20255004169 | from blog_api import api
from flask import json
def test_blog_post():
# Post method test for blog posting
# It includes data and check response out
response = api.test_client().post(
'/api/post',
data=json.dumps({'title': '1', 'body': '2', 'author': '3'}),
content_type='appl... | hebertsonm/blog-assignment | pytest.py | pytest.py | py | 1,650 | python | en | code | 0 | github-code | 36 |
25607964221 | class TrieNode:
def __init__(self):
self.children = dict()
self.isEndOfWord = False
self.num = dict()
root = None
def getNewTrieNode():
pNode = TrieNode()
return pNode
def insertWord(word):
global root
current = roo... | Nirmalkumarvs/programs | Trie/Count number of strings with given prefix.py | Count number of strings with given prefix.py | py | 1,335 | python | en | code | 0 | github-code | 36 |
29326208812 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
@version: ??
@author: li
@file: rnn_model.py
@time: 2018/3/27 下午5:41
"""
import tensorflow as tf
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
class TRNNConfig(object):
embedding_dim = 64 # 词向量维度
seq_length = 600 # 序列长度
num_classes = 10 # 类别数
... | STHSF/DeepNaturalLanguageProcessing | TextClassification/text_classification/TextRNN/rnn_model.py | rnn_model.py | py | 3,377 | python | en | code | 16 | github-code | 36 |
11920060681 | import random, hashlib
from cryptography import x509
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization
from cryptography.x509.oid import NameOID
from playground.common import CipherUtil
from ..contants import PATH_PREFIX
class CertFactory(object):
... | Pandafriendd/peep | src/factory/CertFactory.py | CertFactory.py | py | 1,996 | python | en | code | 0 | github-code | 36 |
33319769200 | WIN_WIDTH = 1524
WIN_HEIGHT = 720
DISPLAY = (WIN_WIDTH, WIN_HEIGHT)
FPS = 60
GAME_TITLE = 'Fly'
TITLE_FONT_SIZE = 196
FONT_SIZE = 82
FONT_FAMILY = 'Showcard Gothic'
END_GAME_TIME = 2
START_POSITION = {1: [-100, -100, 1, 2], 2: [WIN_WIDTH / 2, -100, 0, 2], 3: [WIN_WIDTH + 100, -100, -1, 1],
4: [WIN_WID... | MrRamka/FlyGame | config.py | config.py | py | 616 | python | en | code | 0 | github-code | 36 |
8000518173 | import numpy as np
from numpy import linalg
from scipy import sparse
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
def read_dataset(path: str):
with open(path, 'r') as f:
lines = f.readlines()
x = np.zeros([len(lines), 123])
y = np.zeros([len(lines)])
fo... | LyricZhao/IRLS | main.py | main.py | py | 2,358 | python | en | code | 0 | github-code | 36 |
24222891293 | import numpy as np
from collections import namedtuple
from abc import ABCMeta, abstractmethod, abstractstaticmethod
# 决策树结点
# Parameters
# ----------
# feature : 特征，需要进行比对的特征名
# val : 特征值，当特征为离散值时，如果对应的特征值等于val，将其放入左子树，否则放入右子树
# left : 左子树
# right : 右子树
# label : 所属的类
TreeNode = namedtuple("TreeNode", 'feature val lef... | samzzyy/RootCauseAnalysisOfProductionLineFailure | PathAna/DT_IV2.py | DT_IV2.py | py | 5,356 | python | en | code | 5 | github-code | 36 |
38715871602 | #!/usr/bin/env python
import re
valid_triangles = 0
data = []
with open('input.txt', 'r') as f:
for line in f:
data.append([int(x) for x in re.split(r'\s+', line.strip())])
# values = sorted([int(x) for x in re.split(r'\s+', line.strip())])
# assert len(values) == 3
# if values[0] ... | lvaughn/advent | 2016/3/triangles_2.py | triangles_2.py | py | 617 | python | en | code | 1 | github-code | 36 |
13421938791 | import os
import io
import re
import sys
import pandas as pd
import ujson as json
from argparse import ArgumentParser, FileType
from rasm import rasm
RULE_GROUPS = {
'ASSIM-M': ['M1', 'M2'],
'ASSIM-N': ['N2.1.1.A', 'N2.1.1.B', 'N2.1.1.C', 'N2.1.1.D', 'N2.1.2.A', 'N2.1.2.B', 'N2.1.2.C', 'N2.1.2.D', 'N2.2.A', ... | kabikaj/tajweed | src/tajweed2df.py | tajweed2df.py | py | 5,564 | python | en | code | 1 | github-code | 36 |
39366464180 | import numpy as np
import tensorflow as tf
import datetime
n = 10
A = np.random.rand(10000, 10000).astype('float32')
B = np.random.rand(10000, 10000).astype('float32')
c1 = []
c2 = []
def matpow(M, n):
if n == 1:
return M
else:
return tf.matmul(M, matpow(M, n-1))
with t... | PacktPublishing/Deep-Learning-with-TensorFlow-Second-Edition | Chapter07/gpu/gpu_example.py | gpu_example.py | py | 1,141 | python | en | code | 48 | github-code | 36 |
29936731116 | def my_comp(a):
return(-a[0], a[1])
words = []
# почему - то не работает ввод
line = "test"
while line:
line = input()
tmp = line.split()
for i in tmp:
words.append(i)
d = {}
for x in words:
if x in d.keys():
d[x] += 1
else:
d[x] = 1
ans = list(tuple())
for x in d:
... | Alvanerle/PP2_Python | TSIS/TSIS 3/2/6.py | 6.py | py | 418 | python | en | code | 0 | github-code | 36 |
17751518002 | from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import copy
import json
import os
SPLITS = ["train", "dev", "devtest", "teststd"]
def get_image_name(scene_ids, turn_ind):
"""Given scene ids and turn index, get the image name.
"""
sorted_scene_ids = sor... | facebookresearch/simmc2 | model/ambiguous_candidates/format_ambiguous_candidates_data.py | format_ambiguous_candidates_data.py | py | 4,414 | python | en | code | 98 | github-code | 36 |
11274648981 | def returnConfidenceIntervals(IDs,pathtemp,pnumbers,listnames):
#Imports
import string
import re
#Action
for item in IDs:
obsid = item
path = pathtemp.replace('++++++++++',obsid)
for elem in pnumbers:
temporarylist = []
alphabet_list = list(string.asci... | thissop/MAXI-J1535 | older/recovered/Steiner2.0/20November/Related to finishing ci.py/ci.py | ci.py | py | 3,847 | python | en | code | 1 | github-code | 36 |
73049130343 | from collections import UserDict
from datetime import datetime
from datetime import timedelta
class CacheDict(UserDict):
times = {}
def __init__(self, dict={}, keytime=60, **kwargs):
super().__init__(dict, **kwargs)
self.keytime = keytime
def __getitem__(self, key):
if not sel... | desk467/moto | moto/cache.py | cache.py | py | 718 | python | en | code | 1 | github-code | 36 |
27145304602 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/7/9 11:05
# @Author : wenlei
'''
数据流随时取中位数
'''
import heapq
import random
# 小根堆
class MinHeap():
def __init__(self):
self.heap = []
def insert(self, node):
if not node:
return
heapq.heappush(self.heap, node)... | sherryxiata/zcyNowcoder | basic_class_07/MedianQuick.py | MedianQuick.py | py | 3,517 | python | en | code | 0 | github-code | 36 |
15478667002 | import numpy as np
import glog
import pandas as pd
import os
import gzip
def export_roi_gene(file_path: str, roi: list):
"""
Args:
file_path: path of gene file
roi: [x0, y0, w, h]
Returns: None
"""
if file_path.endswith('.gz'):
f = gzip.open(file_path, 'rb')
else: f = ... | BGIResearch/StereoCell | scripts/utils.py | utils.py | py | 2,150 | python | en | code | 18 | github-code | 36 |
12365150707 | #TCP Server side
import socket
#creating the server socket using IPv4(AF_INET) and TCP(SOCK_STREAM)
server_socket= socket.socket(socket.AF_INET,socket.SOCK_STREAM)
#binding our server socket
#server_socket.bind((socket.gethostbyname(socket.gethostname()),12346))
server_socket.bind(("127.0.0.1",12346))
#listening f... | glynzr/network-programming | basic_tcp_server_client/server.py | server.py | py | 779 | python | en | code | 0 | github-code | 36 |
19557215570 | import sys
input = sys.stdin.readline
n = int(input())
for _ in range(n):
a, b, c = map(int, input().split())
print(f"Data set: {a} {b} {c}")
for _ in range(c):
if a > b:
a //= 2
else:
b //= 2
print(max(a, b), min(a, b))
print()
| hyotaime/PS.py | Bronze/Bronze4/26340.py | 26340.py | py | 290 | python | en | code | 0 | github-code | 36 |
7661874071 | from django.template import Library
from hx_lti_initializer.models import LTIProfile
register = Library()
@register.filter_function
def list_of_possible_admins(already_in_course):
list_of_usernames_already_in_course = []
list_of_unique_names = []
result = []
for profile in LTIProfile.objects.all():
... | lduarte1991/hxat | hx_lti_initializer/templatetags/possible_admins.py | possible_admins.py | py | 780 | python | en | code | 11 | github-code | 36 |
41076588706 | import os
import zipfile
def unzip(filename: str, extract_to: str) -> None:
"""
This method run unzip a file to specified path
:param filename: Path/filename of zip file
:param extract_to: Path with name of output folder
:return: None
"""
this_folder = os.path.dirname(os.path.abspath(... | samuelterra22/Analysis-of-antenna-coverage | src/main/python/support/extract_zip_file.py | extract_zip_file.py | py | 466 | python | en | code | 5 | github-code | 36 |
4107020337 | import sys
from collections import deque
input = sys.stdin.readline
def check(a, b, size):
return 0 == psa[a + size - 1][b + size - 1] - psa[a - 1][b + size - 1] - psa[a + size - 1][b - 1] + psa[a - 1][b - 1]
moves = ((1, 0), (0, 1), (-1, 0), (0, -1))
n, m = [int(x) for x in input().split()]
psa = [[0] * (m + 1... | AAZZAZRON/DMOJ-Solutions | aac2p3.py | aac2p3.py | py | 1,238 | python | en | code | 1 | github-code | 36 |
370424566 | from selenium import webdriver
from amazon_pages.home_page import HomePage
def test__amazon():
""" Go to book_page categorie, add first item to cart, change quantity to 2"""
driver = webdriver.Chrome()
home = HomePage(driver)
cart_page = home.accept_cookie()\
.open_all_book()\
.select... | ClemiDouce/TP-pageobject | test_amazon.py | test_amazon.py | py | 450 | python | en | code | 1 | github-code | 36 |
4711979655 | # Patryk Kostek
# Lab 6 Problem 3
'''
Design and implement a program that allows the user to play a game similar to Wheel of Fortune.
Wheel of Fortune is a popular word game in which the player is given a category (Movie, Famous Person)
and some number of blanks representing each character in the name of the movie or ... | Perrtyk/python | lab_6_strings/Problem_3.py | Problem_3.py | py | 7,479 | python | en | code | 0 | github-code | 36 |
1889257914 | '''
Created on 08.02.2016.
@author: Lazar
'''
from concepts.row import Row
from textx.exceptions import TextXSemanticError
class View(object):
basic_type_names = ['text', 'number', 'checkbox', 'link',
'email', 'password', 'menuitem', 'menu',
'button', 'radio', 'for... | lazer-nikolic/GenAn | src/concepts/view.py | view.py | py | 2,115 | python | en | code | 2 | github-code | 36 |
18362653657 | """
Class containing the display of the Chip8 emulator.
"""
import pygame
class Chip8Display:
def __init__(self, width, height, scale=10):
###########################
# CONSTANTS
###########################
self.BG_COLOR = (0, 0, 0)
self.MAIN_COLOR = (255, 255, 255)
... | trd-db/PyChip8 | chip8/Chip8Display.py | Chip8Display.py | py | 4,194 | python | en | code | 0 | github-code | 36 |
35866822598 | import sys,os
import gmsh
import numpy as np
from mpi4py import MPI
import dolfinx
dir = os.path.dirname(__file__)
gmsh.initialize()
lc = 0.2
num_airfoil_refinement = 100
L = 4
H = 1
gdim = 2
"""
Defining the shape of the airfoil using Bézier Curves
Geometrical parameters of the airfoil according to ... | niravshah241/MDFEniCSx | demo/3_airfoil_displacement/mesh_data/mesh.py | mesh.py | py | 6,178 | python | en | code | 1 | github-code | 36 |
29455040883 | def lenIter(aStr):
'''
aStr: a string
returns: int, the length of aStr
'''
count = 0
assert type(aStr) == str
for char in aStr:
count += 1
return count
def lenRecur(aStr):
'''
aStr: a string
returns: int, the length of aStr
'''
if aStr == '':
... | MichaelrMentele/MIT-6.002-Intro-to-CS | PythonScripts/lenIter.py | lenIter.py | py | 379 | python | en | code | 1 | github-code | 36 |
6791731710 | """
Class for acting as a server inside of a simpy simulation. This server is nothing
more than a resource with some additional patches.
@author Tycho Atsma <tycho.atsma@gmail.com>
@file lib/Server.py
"""
# dependencies
from simpy import PreemptiveResource
from numpy.random import exponential, uniform
class Serve... | miloshdrago/discrete-event-simulation-ing | app/lib/Server.py | Server.py | py | 4,703 | python | en | code | 0 | github-code | 36 |
24495985471 | from __future__ import print_function, unicode_literals
from ._util import compact_json_dumps, TERMINALS, NONTERMINALS
from ._util import follow_path, in_array, in_object, range, compat_kwargs
import copy
import bisect
import sys
import json
def diff(left_struc, right_struc,
array_align=True, compare_length... | opensvc/igw_envoy | src/json_delta/_diff.py | _diff.py | py | 16,258 | python | en | code | 2 | github-code | 36 |
72311227944 | import os
import shutil
import subprocess
import traceback
from typing import Any, List
from src.manager.launcher.launcher_interface import ILauncher, LauncherException
class LauncherRos(ILauncher):
"""
Launcher for ROS/Gazebo
It's configuration should follow this spec:
{
"type": "module",
... | JdeRobot/RoboticsApplicationManager | manager/manager/launcher/launcher_ros.py | launcher_ros.py | py | 2,764 | python | en | code | 2 | github-code | 36 |
32879521112 | from matplotlib import pyplot as plt
def visualize(flight):
altitude = [t.position.y for t in flight]
velocity = [t.velocity.y for t in flight]
time = list(range(len(flight)))
plt.figure()
plt.subplot(211)
plt.xlabel("Time (secs)")
plt.ylabel("Altitude(m)")
plt.plot(time, altitude)
... | mirman-school/hoc-rocketflight | visualizer.py | visualizer.py | py | 442 | python | en | code | 0 | github-code | 36 |
27662925156 | """"
MeGaNeKo 2022 - https://github.com/MeGaNeKoS/Discord-Bot-Template
Description:
This is a template to create your own discord bot in python.
Version: 1.0
"""
import logging
class STDERRLogger:
def __init__(self):
self.logger = logging.getLogger("STDERR")
formatter = logging.Formatter('%(leveln... | MeGaNeKoS/Discord-Bot-Template | utils/sys_logger.py | sys_logger.py | py | 933 | python | en | code | 3 | github-code | 36 |
9607048047 | import tensorflow as tf
slim = tf.contrib.slim
def inference(X, Y, is_training=True):
with slim.arg_scope([slim.model_variable], device='/cpu:0'):
prediction, tensor_collection = prime_classifier(inputs = X, is_training = is_training)
tf.losses.sigmoid_cross_entropy(Y, prediction)
losses = ... | ThorJonsson/PrimalityClassification | inference.py | inference.py | py | 2,310 | python | en | code | 0 | github-code | 36 |
72094365545 | #coding utf-8
# Среди натуральных чисел, которые были введены, найти наибольшее по сумме цифр. Вывести на экран это число и сумму его цифр.
count = int(input('Введите кол-во элементов ряда: '))
sum = 0
max_sum = 0
max_num = 0
for i in range(1, count + 1):
num = int(input('Введите натуральное число: '))
num_... | Jecteroid/python | alg_pyt/less02_task09.py | less02_task09.py | py | 784 | python | ru | code | 0 | github-code | 36 |
72178607465 |
import falcon
from math import sqrt
from wsgiref.simple_server import make_server
class Calc():
def on_get(self, req, resp):
qs = req.params
resp.body = "Waiting for input\n"
resp.status = falcon.HTTP_200
def on_post(self, req, resp):
chunk = req.stream.read(4096)
val... | Lovelykira/Microservices | DBServer/db_server.py | db_server.py | py | 1,388 | python | en | code | 0 | github-code | 36 |
18913990683 | from collections import deque
def neighbors(position: tuple[int, int, int]) -> list[tuple[int, int, int]]:
x, y, step = position
return [
(x + 1, y, step + 1),
(x - 1, y, step + 1),
(x, y + 1, step + 1),
(x, y - 1, step + 1),
]
class Solution:
def nearestExit(self, ma... | lancelote/leetcode | src/nearest_exit_from_entrance_in_maze.py | nearest_exit_from_entrance_in_maze.py | py | 1,325 | python | en | code | 3 | github-code | 36 |
44404785763 | """
inout.py
Calculate the number of years one must be without avocado toast in order to afford the down payment for a $750,000 home.
"""
import sys
while True:
print("In order to afford a 20% down payment for a home in Brooklyn at the median sale price of $750,000, how many avocado toasts will you, A Millen... | kathyvsinternet/Python-INFO1-CE9990 | inout.py | inout.py | py | 1,649 | python | en | code | 0 | github-code | 36 |
4359525162 | import os
import pandas as pd
import numpy as np
import surprise as sp
from surprise.model_selection import GridSearchCV, train_test_split
from surprise.accuracy import rmse
from surprise import dump
print('Losading reviews')
reviews_df = pd.read_csv('/media/einhard/Seagate Expansion Drive/3380_data/data/user_book_rat... | dzmare/3380 | Models/Recommender/model_SVDpp.py | model_SVDpp.py | py | 879 | python | en | code | 0 | github-code | 36 |
32752187332 | from multiprocessing import Pool
from argparse import ArgumentParser
from tbselenium.tbdriver import TorBrowserDriver
from tbselenium.utils import launch_tbb_tor_with_stem
from tbselenium.common import STEM_SOCKS_PORT, USE_RUNNING_TOR,\
STEM_CONTROL_PORT
JOBS_IN_PARALLEL = 3
def run_in_parallel(inputs, worker, n... | webfp/tor-browser-selenium | examples/parallel.py | parallel.py | py | 1,379 | python | en | code | 483 | github-code | 36 |
11473308179 | from typing import Optional, Union
import numpy as np
import pandas as pd
from lightfm import LightFM
from lightfm.evaluation import precision_at_k
from scipy import sparse as sps
from .base import BaseRecommender
class FMRecommender(BaseRecommender):
"""FM recommender based on `LightFM`.
Args:
int... | smartnews/rsdiv | src/rsdiv/recommenders/fm.py | fm.py | py | 1,837 | python | en | code | 7 | github-code | 36 |
32983223303 |
# basics
import argparse
import os
import pickle
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
# sklearn imports
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import normalize
# our code
import... | akshi96/Coursework | CPSC340 - Machine Learning/a3/code/main.py | main.py | py | 8,956 | python | en | code | 0 | github-code | 36 |
30502653408 | from collections import defaultdict
f = open('/Users/moishe/src/aoc-21/day-10/input/input.txt')
xlat_closer = {
'>': '<',
']': '[',
'}': '{',
')': '('
}
score_lookup = {
')': 3,
']': 57,
'}': 1197,
'>': 25137
}
counters = defaultdict(int)
score = 0
for l in f:
l = l.rstrip()
current_open = []
... | Moishe/aoc-21 | day-10/part-1.py | part-1.py | py | 640 | python | en | code | 0 | github-code | 36 |
25099906773 | import ast
import re
import tokenize
import unicodedata
from sympy.parsing import sympy_parser
from sympy.core.basic import Basic
#####
# Process Unicode characters into equivalent allowed characters:
#####
# Unicode number and fraction name information:
_NUMBERS = {"ZERO": 0, "ONE": 1, "TWO": 2, "THREE": 3, "FOUR"... | isaacphysics/equality-checker | checker/parsing/utils.py | utils.py | py | 18,953 | python | en | code | 7 | github-code | 36 |
35022463878 | # -*- coding: utf-8 -*-
"""
Authors: Ioanna Kandi & Konstantinos Mavrogiorgos
"""
# code
import numpy as np
import pandas as pd
import sklearn
import matplotlib.pyplot as plt
import seaborn as sns
import json
from flask import *
from flask_cors import CORS, cross_origin
import warnings
warnings.simplefilter(action='ig... | ioannakandi/recSys | main.py | main.py | py | 6,875 | python | en | code | 1 | github-code | 36 |
22235734648 | # Create a function to calculate the sum of all the numbers in a jagged array
# (contains numbers or other arrays of numbers on an unlimited number of
# levels)
def sumjegged(arr):
sum = 0
for num in arr:
if type(num) == list:
num = sumjegged(num)
sum += num
return sum
print(s... | YopaNelly/code-P2 | Ex45/Ex45.py | Ex45.py | py | 372 | python | en | code | 1 | github-code | 36 |
32860540539 | from django.http import HttpResponse
from django.shortcuts import render,redirect
from django.contrib.sites.shortcuts import get_current_site
from django.utils.http import urlsafe_base64_encode, urlsafe_base64_decode
from django.utils.encoding import force_bytes, force_text
from django.template.loader import render_to_... | chandrika-gavireddy/Django-Email_Verfication_while_RegisteringUser | accounts/views.py | views.py | py | 2,581 | python | en | code | 0 | github-code | 36 |
3576654470 |
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import roc_auc_score
from sklearn.metrics import average_precision_score
from sklearn.metrics import recall_score
# accuracy_scores: return the correctly classified samples. The set of labels predicted for a sample mus... | ClarissaW/Predict-tags-on-StackOverflow | evaluation.py | evaluation.py | py | 1,960 | python | en | code | 0 | github-code | 36 |
39095371429 |
# coding: utf-8
# In[1]:
#define a listener which listens to tweets in real time
import tweepy
# to install tweepy, use: pip install tweepy
# import twitter authentication module
from tweepy import OAuthHandler
# import tweepy steam module
from tweepy import Stream
# import stream listener
from tweepy.streaming... | vigneshsriram/Python-Tutorials | WebScrapping2/WebScraping2.py | WebScraping2.py | py | 5,546 | python | en | code | 0 | github-code | 36 |
32268751295 | #!/usr/bin/env python
import sys
import os
import shutil
#os.environ['OPENBLAS_NUM_THREADS'] = '1'
import argparse
import subprocess
import requests
import stat
import json
import pathlib
import zipfile
import pysam
import pandas as pd
import numpy as np
from collections import Counter
from functools import reduce
fr... | BimberLab/nimble | nimble/__main__.py | __main__.py | py | 13,434 | python | en | code | 1 | github-code | 36 |
12522230634 | from hmac import new
import streamlit as st
import pandas as pd
from google.cloud import bigquery
import pandas_gbq
from datetime import datetime, timedelta
import yagmail
import os
st.set_page_config(layout="wide")
days_mapping = {
'Monday': 'lunedì',
'Tuesday': 'martedì',
'Wednesday': 'mercoledì',
'... | davins90/editable_table | prod/app.py | app.py | py | 3,761 | python | en | code | 0 | github-code | 36 |
9037012840 | import os
import math
import json
import asyncio
from operator import itemgetter
import aiohttp
from aiohttp import ClientConnectorError, ServerTimeoutError, TooManyRedirects
from aiolimiter import AsyncLimiter
from fastapi import FastAPI, Path
app = FastAPI()
# allow for 10 concurrent entries within a 2 second wind... | treybrooks/TopCryptosAPI | ranking/app/main.py | main.py | py | 2,688 | python | en | code | 0 | github-code | 36 |
2360933175 | # -*- coding: utf-8 -*-
"""
DIAGNOSTICS OF THE CARDIOVASCULAR SYSTEM BASED ON NEURAL NETWORKS
Classify ECG-Signals to CAD-Symptoms by means of artificial neural networks
Skript containing function to plot results.
"""
import os
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib im... | Judweep/ECG_Classifier | Source_code/Plotting_Functions.py | Plotting_Functions.py | py | 5,669 | python | en | code | 0 | github-code | 36 |
70619296105 | import gym
import numpy as np
import random
#from gym_minigrid.wrappers import *
#import gym_minigrid
#from gym_minigrid import Window
import matplotlib
#env = gym.make('MiniGrid-Empty-6x6-v0',render_mode='human')
env = gym.make('MiniGrid-Empty-8x8-v0')
#env = gym.make('MiniGrid-Empty-8x8-v0')
#window = Wind... | VaibhavMishra02001/Implementation-of-RL-algorithms | sarsa1.py | sarsa1.py | py | 2,633 | python | en | code | 0 | github-code | 36 |
74517741544 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 24 18:27:02 2020
@author: Tomi
"""
import random # for random number selection
def lotto():
'''ask user for 6 numbers in certain range. Program then displays
6 random numbers from the same range, and check the numbers the
user guessed correctly'''
input... | tomisile/PythonDemos | lotto.py | lotto.py | py | 1,098 | python | en | code | 0 | github-code | 36 |
35906653499 | '''
1. Средствами языка Python сформировать текстовый файл (.txt), содержащий
последовательность из целых положительных и отрицательных чисел. Сформировать
новый текстовый файл (.txt) следующего вида, предварительно выполнив требуемую
обработку элементов:
Исходные данные:
Количество элементов:
Минимальный элемент:
Коли... | jmblx/PZ | PZ_11/PZ_11_1.py | PZ_11_1.py | py | 1,370 | python | ru | code | 0 | github-code | 36 |
27769973712 | import numpy as np
'''
李航-统计学习方法
p159-adaboost例子
最终结果由两部分构成：分类器系数alpha+{分类器阈值:分类器标记值}
'''
x = np.arange(10)
y = np.array([1] * 3 + [-1] * 3 + [1] * 3 + [-1])
# 节点域 r
r = np.arange(0.5, 10, 1)
print('x：',x)
print('y:',y)
print('r:',r)
print('=============================')
#分类器
# G(a,b,threh) <=threh则a，否... | kshsky/PycharmProjects | machinelearning/sklearn/AdaboostTestOri.py | AdaboostTestOri.py | py | 4,264 | python | en | code | 0 | github-code | 36 |
5234262149 | from .models import User
from django.conf import settings
from django.templatetags import static
from rest_framework import serializers
class UserSerializer(serializers.ModelSerializer):
avatar = serializers.SerializerMethodField()
class Meta:
model = User
fields = (
'username',
... | Zomba4okk/MyMovies | backend/apps/users/serializers.py | serializers.py | py | 930 | python | en | code | 0 | github-code | 36 |
24650095567 | from equationsimplier import stackCopy
input = ['5', '4', '*', '4', 'x', '3', '*', '-', '=']
input = ['5', '4', '*', 'x', '3', '*', '=']
def varStack(stack):
operator = stack.pop()
stackCount = 0
paraCount = 0
LHSStack = []
RHSStack = []
oper = 0
dualOper = ['+', '-', '/', '*']
if opera... | jtjayesh98/EquationParser | test.py | test.py | py | 1,917 | python | en | code | 0 | github-code | 36 |
29284640142 | import boto3
import json
def create_aws_resource(name, region, KEY, SECRET):
"""
Creates an AWS resource, e.g., ec2, s3.
:param str name - the name of the resource
:param str region - the name of the AWS region that will contain the resource.
:param str KEY - the aws access key
:param str ... | Hyacinth-Ali/data-warehouse-S3-to-Redshift-ETL | provision_resource_helper.py | provision_resource_helper.py | py | 2,716 | python | en | code | 0 | github-code | 36 |
1386058348 | import random
from typing import Set
import numpy as np
def random_rotate(x: np.ndarray,
rotation_directions: Set[int],
mirror_directions: Set[int] = None,
mirror_first=True) -> np.ndarray:
if mirror_directions is None:
mirror_directions = rotation_di... | veeramallirajesh/CT-Vertebrae-Detection | load_data/random_rotate.py | random_rotate.py | py | 1,232 | python | en | code | 0 | github-code | 36 |
13925791934 | import numpy as np
import cv2 as cv
import scipy.io
from PIL import Image
import time
import os
import errno
import random
from sklearn.model_selection import train_test_split
import shutil
import cv2
###############################################################################
#####################################... | haynec/yolov5_4_channel | fuse_and_reorg_dataset.py | fuse_and_reorg_dataset.py | py | 4,190 | python | en | code | 0 | github-code | 36 |
70061727464 | from myautograd.DataStructure import Node, Mat, DimNotMatchError
from myautograd.op import op
import unittest
import math
class TestNodeMethods(unittest.TestCase):
def test_long_term_gradient(self):
A = Node(2)
B = Node(3)
C = A * B
D = Node(4)
E = C * D
F = B + E
... | luo3300612/MyAutoGrad | test_autograd.py | test_autograd.py | py | 6,941 | python | en | code | 4 | github-code | 36 |
1734227672 | # Mongodb 测试
from pymongo import MongoClient
# 连接 mongodb，得到一个客户端对象
client = MongoClient('mongodb://localhost:27017')
# 获取名为 scrapy_db 的数据库对象
db = client.scrapy_db
# 获取名为 person 的集合对象
collection = db.person
doc = {
'name':'刘硕',
'age':34,
'sex':'M'
}
# 将文件插入集合
collection.insert_one(do... | zkzhang1986/-Scrapy- | practise/scrapyMongodbTest.py | scrapyMongodbTest.py | py | 443 | python | zh | code | 11 | github-code | 36 |
23280705402 | '''
Description:
Author: weihuang
Date: 2021-11-18 15:47:44
LastEditors: weihuang
LastEditTime: 2021-11-22 22:38:26
'''
import torch
import torch.nn.functional as F
import torch.nn as nn
from torch.autograd import Variable
class CrossEntropy2d(nn.Module):
def __init__(self, reduction="mean", ignore_label=255):
... | weih527/DA-ISC | scripts/loss/loss.py | loss.py | py | 3,347 | python | en | code | 14 | github-code | 36 |
14412924035 | import util.settings as settings
import time
import sys, getopt
from util.logging import *
from colorama import init
import supermarkets.runner as srunner
def main(argv):
init()
# Parsing of arguments
try:
#opts, args = getopt.getopt(argv,"hi:o:",["ifile=","ofile="])
opts, args = getopt.getopt(argv,"hve",["hel... | tonsmets/SupermarketScraper | supermarketscraper/main.py | main.py | py | 1,164 | python | en | code | 21 | github-code | 36 |
34611052590 | """
Author: Yanrui Hu
Date: 2022-9-29
Description: Encrypt the sensitive message.
Keyword: encryption, str-process
Reason: HouLaoShi is a person who takes special message seriously.
Version: 0.0.2
"""
import random
def encrypt_message(msg: str, key: int = 0x3f) -> str:
encrypted_msg = [chr(ord(ch) + key) for ch i... | yanruiHu/Notes | python/encrypt_msg.py | encrypt_msg.py | py | 904 | python | en | code | 0 | github-code | 36 |
41324119909 | '''
Multiples of 3 or 5
If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9.
The sum of these multiples is 23.
Find the sum of all the multiples of 3 or 5 below 1000.
'''
def number_multiples(number_1, number_2, number_range):
"""Takes two integers finds their multiples... | Infinite-series/Project-Euler | problem_1.py | problem_1.py | py | 1,274 | python | en | code | 0 | github-code | 36 |
2863726451 | import matplotlib.pyplot as plt
import csv
# 1. 读取数据；数据数组
data = []
headers = ['工作年限' ,'学历','职位','薪水','城市','发布时间']
city = set()
with open('jobs.csv', 'r', encoding='utf-8') as fd:
reader = csv.DictReader(fd, fieldnames=headers) # 返回的是迭代器
next(reader) # 把头略过
for row in reader:
data.append(row['城市... | XiaJune/A-small | d16_plot_linalg/demo_hist.py | demo_hist.py | py | 944 | python | en | code | 0 | github-code | 36 |
11539648952 | from flask_restful import reqparse, abort, Resource, fields, marshal_with
from cliente import Cliente
from tipocliente import TipoCliente
from produto import Produto
from notafiscal import NotaFiscal
from itemnotafiscal import ItemNotaFiscal
CLIENTES = []
PRODUTOS = []
NOTAS = []
cliente_resource_fields = {
'id'... | Adriely-Silva/Adriely-Silva-POO-INFO-P7 | AV06 API Nota Fiscal Router/controlador.py | controlador.py | py | 10,481 | python | pt | code | 1 | github-code | 36 |
25947248538 | # idea: do dfs, put current coordinate and node,
# but put left node first and pop most left element firts from stack
# than add coordinate and node to dict
# than sort dict and return values
from collections import defaultdict
from typing import List, Optional
class TreeNode:
def __init__(self, val=0, left=Non... | dzaytsev91/leetcode-algorithms | medium/314_binary_tree_vertical_order_traversal.py | 314_binary_tree_vertical_order_traversal.py | py | 857 | python | en | code | 2 | github-code | 36 |
16055989419 | import discord
from discord.ext import commands
from core.classes import Cog_Extension
import json, asyncio, datetime, sqlite3, shutil, os, time
class Task(Cog_Extension):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.time_task_counters = 0
self.bg_tas... | healthyvitamin/discord_bot | discord_bot/cmds/background_task.py | background_task.py | py | 3,875 | python | en | code | 0 | github-code | 36 |
28662940889 | import logging
from ..models.formularios.form_accion_sort import Form_Accion_Sorteable
from ..models.formularios.form_campo import Form_Campo
from ..models.formularios.form_campo_sort import Form_Campo_Sorteable
from ..models.formularios.form_elemento import Form_Elemento
from ..models.formularios.form_filtro_param_so... | juanceweb/mayan_local | mayan/apps/unq/functions/functions_formularios.py | functions_formularios.py | py | 8,973 | python | es | code | 0 | github-code | 36 |
74050675304 | from copy import deepcopy
from typing import Optional, List
from types import MethodType
from collections import defaultdict
from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
import random
import spacy
import torch
from parlai.core.agents import create_agent, create_agent_from_shared
from parla... | facebookresearch/ParlAI | projects/k2r/stacked_agent/task/agents.py | agents.py | py | 28,080 | python | en | code | 10,365 | github-code | 36 |
12404712601 | from vegetation_index import psri_index
from osgeo import gdal
import numpy as np
import zipfile
import os
# adjust with band data filename
target_band = ["B04_10m.jp2", "B08_10m.jp2"]
print(target_band)
zip_folder_path = "./data/2020"
files = os.listdir(zip_folder_path)
# make folder if not exits
output_folder = f... | primagiant/auto-mapping-and-predicting-crops-production | utils/index/psri_calc.py | psri_calc.py | py | 2,539 | python | en | code | 0 | github-code | 36 |
12212108701 | # This is a sample Python script.
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
def print_hi(name):
# Use a breakpoint in the code line below to debug your script.
print(f'Hi, {name}') # Press ... | LazyShake/ML-Tasks-Iskortsev | Zadanie 6 Zanyatie 1 iskor/main.py | main.py | py | 1,010 | python | en | code | 0 | github-code | 36 |
27162959135 | import gym
import numpy as np
import matplotlib.pyplot as plt
NUM_RUNS = 50
MAX_EPISODE_STEPS = 5000
NUM_EPISODES = 100
NUM_ACTIONS = 3
env = gym.make('MountainCar-v0').env
env._max_episode_steps = MAX_EPISODE_STEPS
POLYNOMIAL_FEATURES = True
POLYNOMIAL_DEGREE = 2
'''
https://github.com/openai/gym/wiki/MountainC... | MaximilianSamsinger/Advanced-Machine-Learning | Assignment 3/Mountain_Car.py | Mountain_Car.py | py | 4,287 | python | en | code | 1 | github-code | 36 |
1418015547 | #
# @lc app=leetcode.cn id=376 lang=python
#
# [376] 摆动序列
#
# @lc code=start
class Solution(object):
def wiggleMaxLength(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if len(nums) < 2:
return len(nums)
cur_diff = pre_diff = 0
res... | yangyuxiang1996/leetcode | 376.摆动序列.py | 376.摆动序列.py | py | 732 | python | en | code | 0 | github-code | 36 |
3085767064 | """A Python Pulumi program"""
import pulumi
from pulumi_spacelift import Stack
stack = Stack("my-stack",
administrative=False,
autodeploy=False,
branch="main",
description="A simple stack",
name="simple-stack-python-pulumi",
repository="empty",
project_root="",
terraform_version="1.3.0"
)
| spacelift-io/pulumi-spacelift | examples/simple-stack/py/__main__.py | __main__.py | py | 308 | python | en | code | 0 | github-code | 36 |
36956162379 | import fnmatch, os, time
from suite_subprocess import suite_subprocess
from wtscenario import make_scenarios
import wttest
class test_txn05(wttest.WiredTigerTestCase, suite_subprocess):
logmax = "100K"
tablename = 'test_txn05'
uri = 'table:' + tablename
remove_list = ['true', 'false']
sync_list = [... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_txn05.py | test_txn05.py | py | 8,600 | python | en | code | 24,670 | github-code | 36 |
10744043731 | import glob
import pandas as pd
export_path = 'dataset.csv'
def make_data(export_path):
files = []
path = '/home/moby/PycharmProjects/data/gpt/csv2/'
files.extend(glob.glob(path + '*/*/*.csv'))
path = '/home/moby/PycharmProjects/data/IDMT-SMT-32/'
files.extend(glob.glob(path + '*/csv2/*.csv'))
... | SergWh/datasets_processing | make_dataset.py | make_dataset.py | py | 827 | python | en | code | 0 | github-code | 36 |
39660373641 | from collections import Counter
class Solution:
def permuteUnique(self, nums: List[int]) -> List[List[int]]:
if len(nums) == 1:
return [nums]
counter = Counter(nums)
result = []
def backtracking(perm):
if len(perm) == len(nums):
resul... | deusi/practice | 47-permutations-ii/47-permutations-ii.py | 47-permutations-ii.py | py | 686 | python | en | code | 0 | github-code | 36 |
8574496857 | from djoser.views import UserViewSet
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.permissions import IsAuthenticated
class DjoserUserViewSet(UserViewSet):
pagination_class = LimitOffsetPagination
permission_classes = [IsAuthenticated]
def me(self, request, *args, **kwar... | ticpragma/foodgram-project-react | foodgram/users/views.py | views.py | py | 452 | python | en | code | 0 | github-code | 36 |
6290474507 | # Extract Adobe Analytics data strings from Adobe Assurance (Project Griffon) logs
# 24 Oct 2022 11:18
# Michael Powe
# reminder of what we are looking for
# (json_data['events'][3]['payload']['ACPExtensionEventData']['hitUrl'])
import json
import urllib.parse
from argparse import ArgumentParser
from pprint import ppr... | nyambol/adobe-assurance-json | json-parser.py | json-parser.py | py | 4,571 | python | en | code | 0 | github-code | 36 |
2846513143 | #User function Template for python3
# https://practice.geeksforgeeks.org/problems/quick-sort/1
class Solution:
#Function to sort a list using quick sort algorithm.
def quickSort(self,arr,low,high):
# code here
if(low>=high):return
pi = self.partition(arr,low,high)
self.quick... | mohitsinghnegi1/CodingQuestions | Algorithms/QuickSort.easy.py | QuickSort.easy.py | py | 1,446 | python | en | code | 2 | github-code | 36 |
25606396016 | import math
from random import randint
def generic_agency_or_account(number_of_digits=4):
account = list()
for i in range(0, number_of_digits):
account.append(randint(0, 9))
return account
def generic_multiplier(multipliers):
sum_numbers = 0
for i, j in enumerate(reversed(multipliers), s... | MarcosSx/CursoGuanabara | Exercicios/desafios_extras/gerador_conta.py | gerador_conta.py | py | 6,452 | python | en | code | 0 | github-code | 36 |
37005905790 | from pathlib import Path
import pytest
from helpers.regression import verify_output
RINOH_PATH = Path(__file__).parent / 'rinoh'
OUTPUT_PATH = Path(__file__).parent / 'output'
def test_version(script_runner):
ret = script_runner.run('rinoh', '--version')
assert ret.success
assert ret.stderr == ''
de... | Chris-Jr-Williams/rinohtype | tests_regression/test_rinoh.py | test_rinoh.py | py | 1,189 | python | en | code | null | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.