added stringdate 2024-11-18 17:59:49 2024-11-19 03:44:43 | created int64 0 2,086B | id stringlengths 40 40 | int_score int64 2 5 | metadata dict | score float64 2.31 5.5 | source stringclasses 1
value | text stringlengths 258 23.4k | num_lines int64 16 649 | avg_line_length float64 15 61 | max_line_length int64 31 179 | ast_depth int64 8 40 | length int64 101 3.8k | lang stringclasses 1
value | sast_codeql_findings stringlengths 2 265k | sast_codeql_findings_count int64 0 45 | sast_codeql_success bool 1
class | sast_codeql_error stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-11-18T22:11:32.453971+00:00 | 1,623,279,461,000 | 97d66172bd4c2423ae2f13dd7db81e7ecee66794 | 3 | {
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"MIT"
],
"directory_id": "4e1db8b75d33499ce0f9ec43534f4f50a5fa86b6",
"extension": "py",
"fi... | 2.875 | stackv2 |
'''
EDA - Exploratory Data Analysis
'''
from enum import unique
from re import search
import numpy as np
import pandas as pd
import os
import glob
import cv2
from sklearn.model_selection import train_test_split
class preprocess:
def __init__(self, data_path):
self.data_path = data_path
sel... | 131 | 24.96 | 108 | 17 | 756 | python | [] | 0 | true | |
2024-11-18T22:11:32.735072+00:00 | 1,554,788,948,000 | 6458dc4b6cbb65d3463fd962d7502dbf1c8ea5c3 | 3 | {
"blob_id": "6458dc4b6cbb65d3463fd962d7502dbf1c8ea5c3",
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"content_id": "3a1698cd3a853eba0ad48464c7b44b30b36a5772",
"detected_licenses": [
"ZPL-2.1"
],
"directory_id": "bfbedb1a9be1235e530f58e51e0dc44ff2208322",
"extension": "py",
... | 2.5625 | stackv2 | import ZPublisher.HTTPRequest
import cgi
import z3c.form.converter
import z3c.form.interfaces
import zope.publisher.browser
class FileUploadDataConverter(z3c.form.converter.FileUploadDataConverter):
"""Although ZPublisher's and zope.publisher's FileUpload
implementations are almost identical, ``FileUploadData... | 27 | 37.48 | 74 | 14 | 211 | python | [] | 0 | true | |
2024-11-18T22:11:33.026388+00:00 | 1,534,149,686,000 | f8406bc95c7453ab6fd70b272570ee4ddd490b51 | 3 | {
"blob_id": "f8406bc95c7453ab6fd70b272570ee4ddd490b51",
"branch_name": "refs/heads/master",
"committer_date": 1534149686000,
"content_id": "3765c62061d3a628932a09a6ebd895997be7032a",
"detected_licenses": [
"MIT"
],
"directory_id": "65ec7c4b790cd7c9c9b6b34322bd00eb1531f40a",
"extension": "py",
"fi... | 2.78125 | stackv2 | import json
import requests
import time
with open("env.json") as f:
data = json.load(f)
TOKEN = data['token']['TELEGRAM_BOT_TOKEN']
URL = "https://api.telegram.org/bot{}/".format(TOKEN)
def get_content(url):
response = requests.get(url)
content = response.content.decode("utf-8")
return content
def get_json_fro... | 52 | 21.19 | 70 | 12 | 303 | python | [] | 0 | true | |
2024-11-18T22:11:33.151542+00:00 | 1,621,250,696,000 | 9ff0f9e50b6d91be21d0efb0d3be4fae80bea8b5 | 2 | {
"blob_id": "9ff0f9e50b6d91be21d0efb0d3be4fae80bea8b5",
"branch_name": "refs/heads/master",
"committer_date": 1621250696000,
"content_id": "339331d03feaf8ef522382716d0172ed86bb900c",
"detected_licenses": [
"MIT"
],
"directory_id": "fb04cc96bf6cbc369e14de17459087f7cf987cc9",
"extension": "py",
"fi... | 2.328125 | stackv2 | import time
import cv2
import numpy as np
import tensorflow as tf
import yolov3_tf2
import valohai
import os
from yolov3_tf2.models import (
YoloV3
)
from yolov3_tf2.dataset import transform_images
from yolov3_tf2.utils import draw_outputs
params = {
"size": 416,
}
inputs = {
"classes": ".data/classes.t... | 76 | 31.25 | 92 | 18 | 615 | python | [] | 0 | true | |
2024-11-18T22:11:33.437301+00:00 | 1,563,544,171,000 | 4799d84e4dd5ecb203dbcd616771cadc18e700ff | 2 | {
"blob_id": "4799d84e4dd5ecb203dbcd616771cadc18e700ff",
"branch_name": "refs/heads/master",
"committer_date": 1563544171000,
"content_id": "7b39244df876d8bf9e050e72156609c6c4a81670",
"detected_licenses": [
"MIT"
],
"directory_id": "59df1200253ef0373654aa24b71e29ac29e63ced",
"extension": "py",
"fi... | 2.34375 | stackv2 | # built-in
from ssl import create_default_context
# external
import certifi
from aiohttp import ClientSession, TCPConnector
def aiohttp_session(*, auth=None, **kwargs):
headers = dict()
if auth:
headers['Authorization'] = auth.encode()
ssl_context = create_default_context(cafile=certifi.where())
... | 18 | 28.56 | 72 | 12 | 116 | python | [] | 0 | true | |
2024-11-18T22:11:33.493149+00:00 | 1,592,636,896,000 | df9e91abca136e8a47ddaa221f5412e6de809222 | 3 | {
"blob_id": "df9e91abca136e8a47ddaa221f5412e6de809222",
"branch_name": "refs/heads/master",
"committer_date": 1592636896000,
"content_id": "809023fa3238e5a54793924d81d51f70be9cb831",
"detected_licenses": [
"MIT"
],
"directory_id": "2817aefa1d4e90338a14eaa9e44f08226d2597c7",
"extension": "py",
"fi... | 3.125 | stackv2 | from dataclasses import dataclass, astuple
from typing import Union, Iterable, Any, Generator
from abc import ABC
from typeguard import typechecked, check_type
import numpy as np
@dataclass
class geometry(ABC):
"""Abstact parent class geometry
This is actually an abstract class not to be used
"""
de... | 186 | 25.2 | 81 | 15 | 1,158 | python | [] | 0 | true | |
2024-11-18T22:11:33.599337+00:00 | 1,624,233,177,000 | 1e2b8a52b9ad3e80e6555708f2c76fbaa2f6384e | 2 | {
"blob_id": "1e2b8a52b9ad3e80e6555708f2c76fbaa2f6384e",
"branch_name": "refs/heads/main",
"committer_date": 1624233177000,
"content_id": "3f2deb3bee4a4b674b57981ed9062205e926cdeb",
"detected_licenses": [
"MIT"
],
"directory_id": "2f8cdd3cdcb64d45426c9d231a02cc368d652976",
"extension": "py",
"file... | 2.375 | stackv2 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 13:39:58 2021
@author: siboc
"""
import numpy as np
import scipy
import math
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from sklearn.metrics import r2_score
import tensorflow as tf
import tensorflow.keras.backend as K
#... | 220 | 30.27 | 157 | 16 | 1,695 | python | [] | 0 | true | |
2024-11-18T22:11:33.648806+00:00 | 1,606,823,412,000 | 22da4dae446ea24d2f9edef1d4ad9bde4c78f9ad | 4 | {
"blob_id": "22da4dae446ea24d2f9edef1d4ad9bde4c78f9ad",
"branch_name": "refs/heads/main",
"committer_date": 1606823412000,
"content_id": "b4a99f4de76654c64e5f42ec37250c9a00996a6c",
"detected_licenses": [
"MIT"
],
"directory_id": "3d93043191d6a5552586ca9c41d99460dcc7b8dd",
"extension": "py",
"file... | 3.5 | stackv2 |
class Trie:
def __init__(self):
self.children = {}
def insert(self, word, start=0):
tree = self
while start < len(word):
if word[start] not in tree.children:
tree.children[word[start]] = Trie()
tree = tree.children[word[start]]
start ... | 44 | 24.64 | 51 | 15 | 266 | python | [] | 0 | true | |
2024-11-18T22:11:33.914903+00:00 | 1,627,025,387,000 | 268ba1e5cf054db5f5883baac48fbca35f8a6788 | 3 | {
"blob_id": "268ba1e5cf054db5f5883baac48fbca35f8a6788",
"branch_name": "refs/heads/master",
"committer_date": 1627025387000,
"content_id": "c2232b21e3f1f3ebb5dea8addbe5a548c840ee84",
"detected_licenses": [
"MIT"
],
"directory_id": "e94c3e02b390b7c37214218083e4c5b2ad622f60",
"extension": "py",
"fi... | 3.046875 | stackv2 | #
# @lc app=leetcode.cn id=438 lang=python3
#
# [438] 找到字符串中所有字母异位词
#
# @lc code=start
from typing import List
class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
hash_win,hash_need = {},{}
ans = []
for char in p:
hash_need[char] = 1 if char not in hash_need el... | 40 | 30.32 | 82 | 16 | 322 | python | [] | 0 | true | |
2024-11-18T22:11:34.300054+00:00 | 1,614,181,199,000 | 87e508b9de9fe57fafb86b805b7b7db8c438de1a | 3 | {
"blob_id": "87e508b9de9fe57fafb86b805b7b7db8c438de1a",
"branch_name": "refs/heads/master",
"committer_date": 1614181199000,
"content_id": "fa7f718af45df3359fcb7e475d72819ed8e43508",
"detected_licenses": [
"Python-2.0",
"MIT"
],
"directory_id": "50008b3b7fb7e14f793e92f5b27bf302112a3cb4",
"exten... | 3.265625 | stackv2 | from Tkinter import *
import tkMessageBox
import tkSimpleDialog
import math
import random
import string
#-----------------------------------------------
def millerTest(a, i, n):
if i == 0:
return 1
x = millerTest(a, i / 2, n)
if x == 0:
return 0
y = (x * x) % n
if ((y == 1) and (x != 1) and (x != (n - 1))):
... | 50 | 24.28 | 119 | 15 | 396 | python | [] | 0 | true | |
2024-11-18T22:11:34.946899+00:00 | 1,617,642,822,000 | ed9e3c04ba9d71501e8b8cbb3f193ba88be5ec98 | 3 | {
"blob_id": "ed9e3c04ba9d71501e8b8cbb3f193ba88be5ec98",
"branch_name": "refs/heads/master",
"committer_date": 1617643602000,
"content_id": "e32afc929171c1525954f6d6390e4d00d56b9058",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "ec5a247812e4b5a51e4fdfd071bc298a957bcbdf",
"extension": "py"... | 2.734375 | stackv2 | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | 295 | 32.5 | 79 | 17 | 2,073 | python | [] | 0 | true | |
2024-11-18T22:11:35.133672+00:00 | 1,513,726,844,000 | 83662d05f988a902015a55e1f09e7f4f0cefa3fd | 3 | {
"blob_id": "83662d05f988a902015a55e1f09e7f4f0cefa3fd",
"branch_name": "refs/heads/master",
"committer_date": 1513726844000,
"content_id": "6b4f1e0c8ef0ab8eaff026545d84aa6c5b03ac8f",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "598b6594fe5513c6a85d1e99fef04b7c33631f46",
"extension": "py"... | 2.921875 | stackv2 | #Step 1: Import modules (some of visualizations will use custom imports later)
import requests, json, csv, urllib.request
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from math import pi
from scipy import stats
from timeit import default_timer as timer
#Step 2: Download and Read CSV Data from... | 249 | 35.41 | 138 | 17 | 2,545 | python | [] | 0 | true | |
2024-11-18T22:11:35.553230+00:00 | 1,633,423,873,000 | aa1b973e34cb22d1168a6a7e8027ed0152ed9cd2 | 3 | {
"blob_id": "aa1b973e34cb22d1168a6a7e8027ed0152ed9cd2",
"branch_name": "refs/heads/master",
"committer_date": 1633423873000,
"content_id": "2922d50ec51652ef67b8b7c7e60fda5240787832",
"detected_licenses": [
"MIT"
],
"directory_id": "01ee7a41bb8f418244a3b8d716a0f8cf6dfcd483",
"extension": "py",
"fi... | 2.59375 | stackv2 | #!/usr/bin/env python
import pandas as pd
import argparse
import sys
def parse_args(args=None):
Description = 'Check samplesheet and add files to bed file'
Epilog = """Example usage: python modify_samplesheet.py <FILE_IN> <FILE_OUT> -r <total_reads.tsv>"""
parser = argparse.ArgumentParser(description=De... | 51 | 28.96 | 117 | 12 | 391 | python | [] | 0 | true | |
2024-11-18T22:11:35.639669+00:00 | 1,687,424,074,000 | a0bbcf5b8d1d995ff26738805895fc6fbed79959 | 3 | {
"blob_id": "a0bbcf5b8d1d995ff26738805895fc6fbed79959",
"branch_name": "refs/heads/master",
"committer_date": 1687424074000,
"content_id": "29e28dde0ed8b30fa88d239437c0df204a3400b5",
"detected_licenses": [
"BSD-2-Clause"
],
"directory_id": "20c8a74b45862ba8604d1c65608b1ea358812bd2",
"extension": "p... | 2.734375 | stackv2 |
# Import analysis/plotting/simulation modules
from hummingbird import analysis, plotting, simulation
# Simulate diffraction data
sim = simulation.base.Simulation()
sim.hitrate = 0.5
sim.sigma = 1
# Specify the facility
state = {}
state['Facility'] = 'Dummy'
# Create a dummy facility
state['Dummy'] = {
# The e... | 56 | 29.52 | 119 | 12 | 436 | python | [] | 0 | true | |
2024-11-18T22:11:35.801305+00:00 | 1,628,678,207,000 | b67064e608c14abfb9954bbe637c5f08bffa3208 | 2 | {
"blob_id": "b67064e608c14abfb9954bbe637c5f08bffa3208",
"branch_name": "refs/heads/main",
"committer_date": 1628678209000,
"content_id": "b03aad9b40137730309aa124282d1331dbc4d501",
"detected_licenses": [
"MIT"
],
"directory_id": "bfa81e9ebd6c394fb7ff27afd063bca6e5cf48c1",
"extension": "py",
"file... | 2.328125 | stackv2 | from django.contrib.auth.models import (
AbstractBaseUser, PermissionsMixin, UserManager
)
from django.db import models
from django.utils import timezone
from django.core.mail import send_mail
from django.utils.translation import ugettext_lazy as _
#from .managers import UserManager
class UserBasicModel(AbstractB... | 65 | 36.23 | 110 | 13 | 782 | python | [] | 0 | true | |
2024-11-18T22:11:35.942263+00:00 | 1,503,694,845,000 | 99475fd7031a5696854f56f3e07702b39679197e | 3 | {
"blob_id": "99475fd7031a5696854f56f3e07702b39679197e",
"branch_name": "refs/heads/master",
"committer_date": 1503694845000,
"content_id": "872977ee59c7edafb7b9c73bbb3344df9f00cec0",
"detected_licenses": [
"MIT"
],
"directory_id": "1a22b44eba9accbb3718db8b88ae2973b4745e1e",
"extension": "py",
"fi... | 3.078125 | stackv2 | def smart_procrustes_align_gensim(base_embed, other_embed, words=None):
"""Procrustes align two gensim word2vec models (to allow for comparison between same word across models).
Code ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <wleif@stanford.edu>.
(With help... | 208 | 39.31 | 137 | 14 | 2,260 | python | [] | 0 | true | |
2024-11-18T22:11:36.043120+00:00 | 1,596,969,865,000 | 34864b7ec3bbdd39ba753d440758ced87c641600 | 3 | {
"blob_id": "34864b7ec3bbdd39ba753d440758ced87c641600",
"branch_name": "refs/heads/master",
"committer_date": 1596969865000,
"content_id": "9b30fead1d3db841efd70d327647682a47588a69",
"detected_licenses": [
"MIT"
],
"directory_id": "bbc9f425394d30ad92b39dc5a9eca4d067a082c5",
"extension": "py",
"fi... | 2.828125 | stackv2 | from pydantic import BaseModel
from typing import Optional
class AnnoationLocation(BaseModel):
start: int
end: int
def __eq__(self, other):
return self.start == other.start and self.end == other.end
def __hash__(self):
return hash("{}-{}".format(self.start, self.end))
def __repr... | 38 | 22.24 | 82 | 12 | 215 | python | [] | 0 | true | |
2024-11-18T22:11:36.159398+00:00 | 1,677,918,035,000 | bc9a2348e3ff02c7bb2c563948cfbff16f5c4e57 | 3 | {
"blob_id": "bc9a2348e3ff02c7bb2c563948cfbff16f5c4e57",
"branch_name": "refs/heads/main",
"committer_date": 1677918035000,
"content_id": "fa74332782db806cdee4784ab33fcb9bbe516343",
"detected_licenses": [
"MIT"
],
"directory_id": "2829825dc7e4d118e37e76924af9355983b02283",
"extension": "py",
"file... | 2.6875 | stackv2 | from abaqusConstants import *
class MesherOptions:
"""The MesherOptions object controls the default settings that Abaqus uses for all meshing
methods. The MesherOptions object has no constructor. Abaqus creates the *MesherOptions*
member when a session is started.
MesherOptions commands are intended f... | 65 | 47.57 | 100 | 8 | 653 | python | [] | 0 | true | |
2024-11-18T22:11:36.266806+00:00 | 1,578,913,283,000 | d7f273ded50c92b45edf30d2afdd58f10c5ca0fb | 3 | {
"blob_id": "d7f273ded50c92b45edf30d2afdd58f10c5ca0fb",
"branch_name": "refs/heads/master",
"committer_date": 1578913283000,
"content_id": "0858227a0df77e45d319d2cb31ac010236980193",
"detected_licenses": [
"Unlicense",
"Python-2.0"
],
"directory_id": "052933ebf841e04d49f2dea950f524a5bbac9ec5",
... | 2.984375 | stackv2 | # Bl4ckC4T v1 with tkinter gui
import tkinter
from tkinter import *
def start():
keystring = ''.join(fieldkey.get(1.0, END).split())
choice = var1.get()
outstring = ""
inputstring = fieldinp.get(1.0, END)
for index in range(len(inputstring)-1):
if index >= len(keystring):
keyst... | 75 | 26.52 | 83 | 16 | 683 | python | [] | 0 | true | |
2024-11-18T22:11:36.616724+00:00 | 1,601,468,749,000 | 9e6f15dc2cac08c907c09d913c189e28611dfbe8 | 3 | {
"blob_id": "9e6f15dc2cac08c907c09d913c189e28611dfbe8",
"branch_name": "refs/heads/master",
"committer_date": 1601468749000,
"content_id": "626c926c750da910eaf53289f469d55f9dbcea91",
"detected_licenses": [
"MIT"
],
"directory_id": "e07a7b9f88eb2b0a30a2eb0a5518c546efdffbac",
"extension": "py",
"fi... | 2.8125 | stackv2 | #coding:utf-8
import os
from PIL import Image
import numpy as np
import cv2
def resize(imgPath,savePath):
files = os.listdir(imgPath)
files.sort()
print('****************')
print('input :',imgPath)
print('start...')
for file in files:
fileType = os.path.splitext(file)
if fileTyp... | 32 | 32.66 | 84 | 15 | 329 | python | [] | 0 | true | |
2024-11-18T22:11:36.669153+00:00 | 1,599,053,689,000 | a298038a5522eb420734e08cef100febf2c075f6 | 3 | {
"blob_id": "a298038a5522eb420734e08cef100febf2c075f6",
"branch_name": "refs/heads/master",
"committer_date": 1599053689000,
"content_id": "1d5cb71413c7e07ee44320335d69728637346e19",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "5fe72bb13baf3649058ebe11aa86ad4fc56c69ed",
"extension": "py"... | 3.359375 | stackv2 | """ Minimal MapProxy Middleware demonstrating the decorate_img API
To run:
1. Install MapProxy in a virtual enviroment together with Gunicorn
2. Create a basic MapProxy config and copy this file into the same directory as mapproxy.yaml
2. Activate virtual environment
3. Change to the directory containing this ... | 63 | 30.48 | 95 | 11 | 498 | python | [] | 0 | true | |
2024-11-18T22:11:36.731560+00:00 | 1,595,503,868,000 | 0ffdf58d3fd94fc5a1e4b99c88e07a48937bd74c | 3 | {
"blob_id": "0ffdf58d3fd94fc5a1e4b99c88e07a48937bd74c",
"branch_name": "refs/heads/master",
"committer_date": 1595503868000,
"content_id": "6cafc104a1c387fcea584dfcca639a04c7f84219",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "a47b4cfde908ea6c8341e43a48739ac65fdd5b67",
"extension": "p... | 2.71875 | stackv2 | import numpy as np
from scipy.special import gammaln
from bilby import Likelihood as bilbyLikelihood
from PyGRB.backend.makekeys import MakeKeys
from PyGRB.backend.rate_functions import *
class PoissonRate(MakeKeys, bilbyLikelihood):
"""
Custom Poisson rate class inheriting from bilby.Likelihood.
Param... | 131 | 34.74 | 88 | 17 | 1,031 | python | [] | 0 | true | |
2024-11-18T22:11:36.963247+00:00 | 1,594,214,667,000 | 9e2057ce69bb3cc09880e0a5304e0b0e39f7f3a7 | 3 | {
"blob_id": "9e2057ce69bb3cc09880e0a5304e0b0e39f7f3a7",
"branch_name": "refs/heads/master",
"committer_date": 1594214667000,
"content_id": "57014d6029941b78afaaaf94d790fd4cddf40763",
"detected_licenses": [
"MIT"
],
"directory_id": "56bae55c1cd5000acdd14a4b7767a0292794cbb6",
"extension": "py",
"fi... | 3.140625 | stackv2 | ####################################
# Class and utils for the Reader #
####################################
import os
import time
from transformers import pipeline
class Reader:
def __init__(
self,
model_name="twmkn9/distilbert-base-uncased-squad2",
tokenizer_name="twmkn9/distilbert-bas... | 143 | 36.31 | 118 | 17 | 1,023 | python | [] | 0 | true | |
2024-11-18T22:11:37.182971+00:00 | 1,689,598,901,000 | 202ed67d09e6e5276790858b12c2ff0e009880fd | 3 | {
"blob_id": "202ed67d09e6e5276790858b12c2ff0e009880fd",
"branch_name": "refs/heads/master",
"committer_date": 1689598901000,
"content_id": "a9ce4da6fcb46304d7bcd7d3fda65ab5840e65e4",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "c1e7b91b35926621b3907584aecf333bd9da3e5b",
"extension": "p... | 3.296875 | stackv2 | import numpy as np
from sklearn.metrics import confusion_matrix
from sklearn.utils.validation import (
check_consistent_length,
column_or_1d,
check_array,
)
from ._label import MISSING_LABEL, is_labeled, is_unlabeled
from ._label_encoder import ExtLabelEncoder
def ext_confusion_matrix(
y_true, y_pred... | 106 | 40.64 | 79 | 18 | 1,081 | python | [] | 0 | true | |
2024-11-18T22:11:37.344579+00:00 | 1,571,562,331,000 | 8ea0d24fd48b6cc578c75496330fa5e89222546e | 3 | {
"blob_id": "8ea0d24fd48b6cc578c75496330fa5e89222546e",
"branch_name": "refs/heads/master",
"committer_date": 1571562331000,
"content_id": "b09c06c6ae065493c29b73d740b59f0bbe6816ba",
"detected_licenses": [
"MIT"
],
"directory_id": "51ac9ce2f111d75cc555c6ba363849245ff767fc",
"extension": "py",
"fi... | 2.671875 | stackv2 | """Checks filesystem for audio files that the bot app turns into SFX commands."""
import os
from utils.logger import loggymclogger as log
list_of_sfx_files = []
sfx_with_extentions = []
path = 'static/sfx/hooks/'
for file in os.listdir(path):
# create instance with attributes
if file.endswith('.ogg') or file... | 19 | 30.95 | 81 | 11 | 148 | python | [] | 0 | true | |
2024-11-18T22:11:37.412911+00:00 | 1,633,707,361,000 | 2e6c63ed9d07323971ea3d6e6fe9ab93ec5e50bc | 2 | {
"blob_id": "2e6c63ed9d07323971ea3d6e6fe9ab93ec5e50bc",
"branch_name": "refs/heads/master",
"committer_date": 1633707361000,
"content_id": "594daaea6326eed801c3b98d59c42cda2214e29b",
"detected_licenses": [
"MIT"
],
"directory_id": "70ae5a37085359bbbd76794d50c84aaf4deb862b",
"extension": "py",
"fi... | 2.46875 | stackv2 | with open('mobydick.txt','r') as f1:
m1 = f1.read().split()
with open('solved.txt','r') as f2:
m2 = f2.read().split()
assert len(m1) == len(m2)
for i in range(len(m1)):
if m1[i] != m2[i]:
print(m1[i], m2[i])
# quickly bquickly
# landlord alandlord
# the tthe
# more's more’s
# boarders pboarders
... | 48 | 18.92 | 90 | 10 | 337 | python | [] | 0 | true | |
2024-11-18T22:11:37.599535+00:00 | 1,551,003,377,000 | a9c6ba522adc262659cf54b6db8248bb490ddabd | 3 | {
"blob_id": "a9c6ba522adc262659cf54b6db8248bb490ddabd",
"branch_name": "refs/heads/master",
"committer_date": 1551003377000,
"content_id": "79a9e273f9b8040683bd0659c17dcfc1238c8ac6",
"detected_licenses": [
"MIT"
],
"directory_id": "d57c6f42448ae84194379027274fbff97eb8cd13",
"extension": "py",
"fi... | 3.15625 | stackv2 | from tkinter import messagebox
from tempfile import mkstemp
from shutil import move
from os import fdopen, remove
import sys
class MoneyManager():
def __init__(self):
'''Constructor to set username to '', pin_number to an empty string,
balance to 0.0, and transaction_list to an empty li... | 91 | 37.65 | 115 | 20 | 693 | python | [] | 0 | true | |
2024-11-18T22:11:37.666172+00:00 | 1,577,988,291,000 | 46e59657364e12b7bde14a9f3fd6b45e3728ade2 | 2 | {
"blob_id": "46e59657364e12b7bde14a9f3fd6b45e3728ade2",
"branch_name": "refs/heads/master",
"committer_date": 1577988291000,
"content_id": "203470221b72b865ab577299538ff7f20d3a3542",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "e01fce96f85c6c6d59cdff0222393bebc6afe3c3",
"extension": "p... | 2.46875 | stackv2 | # -*- coding: utf-8 -*-
from typing import Dict
import os
import pkg_resources
from bag.design import Module
yaml_file = pkg_resources.resource_filename(__name__, os.path.join('netlist_info', 'DynamicToStaticLatch.yaml'))
# noinspection PyPep8Naming
class bag_advanced_examples__DynamicToStaticLatch(Module):
... | 90 | 41.2 | 112 | 13 | 1,040 | python | [] | 0 | true | |
2024-11-18T22:11:37.719958+00:00 | 1,493,494,581,000 | 10960f8b983f74f27200c85399698f7d282bfbf7 | 4 | {
"blob_id": "10960f8b983f74f27200c85399698f7d282bfbf7",
"branch_name": "refs/heads/master",
"committer_date": 1493494581000,
"content_id": "b9fbe4e41453e14363d07accecd7cf39862430fe",
"detected_licenses": [
"MIT"
],
"directory_id": "74c6fe5bf63a97d231ba795c11b83a361542fa30",
"extension": "py",
"fi... | 3.625 | stackv2 | import re
import json
def read_file(file_name):
"""Returns a list of all of the lines of the fast alert file
Each line in the file is a separate Snort fast alert
file_name - Name of file to be read.
"""
try:
f = open(file_name, "r")
except:
print("Cannot open file " + f... | 222 | 39.26 | 80 | 14 | 2,021 | python | [] | 0 | true | |
2024-11-18T22:11:37.760973+00:00 | 1,445,442,203,000 | e44815b1de02f687d7df022e13e01db0cfe89766 | 2 | {
"blob_id": "e44815b1de02f687d7df022e13e01db0cfe89766",
"branch_name": "refs/heads/master",
"committer_date": 1445442203000,
"content_id": "ffeb731ab068806fbea30c9c559c940429c1cacc",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "fd64150f20f5459b9c376a11cdf7db740776b96d",
"extension": "p... | 2.484375 | stackv2 | """Views for Zinnia Hashids"""
from django.http import Http404
from django.shortcuts import get_object_or_404
from django.views.generic.base import RedirectView
from zinnia.models.entry import Entry
from zinnia_hashids.factory import hashids
class EntryHashids(RedirectView):
"""
View for handling the hashid... | 29 | 28.48 | 66 | 15 | 198 | python | [] | 0 | true | |
2024-11-18T22:11:37.920139+00:00 | 1,321,463,727,000 | 7ed8b933c31b7ef77cefcfba01e74d68ff047fc6 | 3 | {
"blob_id": "7ed8b933c31b7ef77cefcfba01e74d68ff047fc6",
"branch_name": "refs/heads/master",
"committer_date": 1321463727000,
"content_id": "50705526ea922eb9dbeb1e0dcd019b055bb64d99",
"detected_licenses": [
"MIT"
],
"directory_id": "4d5a0fdad1e606a70cad345c2136129a3d616485",
"extension": "py",
"fi... | 2.625 | stackv2 | #!/usr/bin/env python
from Foundation import *
from AppKit import *
from SystemConfiguration import *
import commands, re, time
class ToggleProxy(NSObject):
def applicationDidFinishLaunching_(self, notification):
# find image files
self.active_image = NSImage.ima... | 100 | 36.4 | 105 | 15 | 800 | python | [] | 0 | true | |
2024-11-18T22:11:38.086425+00:00 | 1,554,716,433,000 | 8ecdb0cc5a3a1a7e9c1da2f68a108adec6c63bfd | 3 | {
"blob_id": "8ecdb0cc5a3a1a7e9c1da2f68a108adec6c63bfd",
"branch_name": "refs/heads/master",
"committer_date": 1554716433000,
"content_id": "604843f4215669ac79c3a51390c2ba288fe9e1ea",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "4cb699b29d0a64e8a6a73e98501530548b9638a4",
"extension": "py"... | 2.59375 | stackv2 | import Check_internet
import speech_recognition as sr
from datetime import datetime
import os
from pocketsphinx import LiveSpeech, get_model_path
import time
def recognition_google():
'''We get the command and save file'''
date = datetime.now()
file_name = 'audio/' + str(date)[:str(date).index('.')].rep... | 78 | 25.33 | 129 | 16 | 512 | python | [] | 0 | true | |
2024-11-18T22:11:38.372913+00:00 | 1,548,998,276,000 | 22c16d7b11dccfe7f37a0e0be448dd622244687a | 3 | {
"blob_id": "22c16d7b11dccfe7f37a0e0be448dd622244687a",
"branch_name": "refs/heads/master",
"committer_date": 1548998276000,
"content_id": "e39c6bf65f5be183270fb9db84f5b36e496fd935",
"detected_licenses": [
"MIT"
],
"directory_id": "e91f477713556f14b288b89ecce89754d4bd93f7",
"extension": "py",
"fi... | 3.09375 | stackv2 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Evaluate an environment and an agent.
Do this by running the agent in the environment for a while and measuring the
average reward.
"""
# 3rd party modules
import gym
# local modules
from rl_utils import load_cfg, get_parser, test_agent
def main(environment_name, ... | 42 | 24.17 | 77 | 11 | 250 | python | [] | 0 | true | |
2024-11-18T22:11:38.627613+00:00 | 1,429,913,962,000 | 854d18db3dfd7c21ba5d90b4dc079ff705674bd6 | 3 | {
"blob_id": "854d18db3dfd7c21ba5d90b4dc079ff705674bd6",
"branch_name": "refs/heads/master",
"committer_date": 1429913962000,
"content_id": "c242bce5f3a9f2071a699a1291ef3d62bcc90f0d",
"detected_licenses": [
"MIT"
],
"directory_id": "5d4f40721d896229234f765a027195a1f1bcefa4",
"extension": "py",
"fi... | 3.09375 | stackv2 | import bpy
import math
import re
import mathutils
class Scaler:
# according to hypertextbook.com/facts/2006/bodyproportions.shtml
# forarm+hand vs forarm ratio
GOLDEN_RATIO = 1.618
# name of the forarm bone, should always be this name
FOREARM = 'forearm'
# name of the hand objects after imp... | 132 | 30.73 | 70 | 16 | 930 | python | [] | 0 | true | |
2024-11-18T22:11:38.810885+00:00 | 1,554,400,780,000 | 345a74821bfedb0dc52fa72673bb5193f720c73e | 2 | {
"blob_id": "345a74821bfedb0dc52fa72673bb5193f720c73e",
"branch_name": "refs/heads/master",
"committer_date": 1554400780000,
"content_id": "d3631a29ce041d4b97aad258422b2c6182585593",
"detected_licenses": [
"MIT"
],
"directory_id": "38e2d57607a000a81c9a07103a6070902652eb2b",
"extension": "py",
"fi... | 2.359375 | stackv2 | # -*- coding: utf-8 -*-
import bot
from lib import timeutils
bot.reload(timeutils)
class Module(bot.Module):
index = "restatsdb"
def register(self):
self.addcommand(self.main, 'get',
'Query a statsdb-interface API.'
' Actions: toprace <map>, game <id>,... | 93 | 34.74 | 79 | 19 | 768 | python | [] | 0 | true | |
2024-11-18T22:11:39.122220+00:00 | 1,523,979,956,000 | 1a3642af1d9942250a5b454c49087195a3bdeca5 | 2 | {
"blob_id": "1a3642af1d9942250a5b454c49087195a3bdeca5",
"branch_name": "refs/heads/master",
"committer_date": 1523979956000,
"content_id": "841f710551e4afff56e37393e2d73117ca2ab12f",
"detected_licenses": [
"MIT"
],
"directory_id": "55a7e280f70d936b938db5f6d58744681a42bb14",
"extension": "py",
"fi... | 2.46875 | stackv2 | import os
import sys
#reload(sys)
# sys.setdefaultencoding("utf8")
import re
import pandas as pd
import io
import bz2
def list_cleaner(rev_list):
rev_list = rev_list.replace('\t', '')
rev_list = rev_list.replace('\n', '')
rev_list = re.sub(
r"<id>|</id>|<parentid>|</parentid>|<timestamp>|</ti... | 56 | 19.89 | 125 | 16 | 290 | python | [] | 0 | true | |
2024-11-18T22:11:39.294547+00:00 | 1,517,674,828,000 | 8ef78c16c3fcb68e6e87edc8d9dc1c3df81f4c5c | 3 | {
"blob_id": "8ef78c16c3fcb68e6e87edc8d9dc1c3df81f4c5c",
"branch_name": "refs/heads/master",
"committer_date": 1517674828000,
"content_id": "f7a994290087890e1c2117dccc612d658b5df11c",
"detected_licenses": [
"MIT"
],
"directory_id": "d23223539e2bd0ca230259e46382a487adfe9e1e",
"extension": "py",
"fi... | 2.953125 | stackv2 | from bot_logger import logger
from cogs.modules.coin_market import CurrencyException, FiatException
from collections import defaultdict
from discord.errors import Forbidden
import discord
import json
class AlertFunctionality:
"""Handles Alert Command functionality"""
def __init__(self, bot, coin_market, aler... | 326 | 42.7 | 93 | 24 | 2,519 | python | [] | 0 | true | |
2024-11-18T22:11:39.352076+00:00 | 1,617,470,018,000 | b437cddd400059d1d559ca2284141eabdc8d7813 | 4 | {
"blob_id": "b437cddd400059d1d559ca2284141eabdc8d7813",
"branch_name": "refs/heads/main",
"committer_date": 1617470018000,
"content_id": "a620a0df557001b1bec083667fd664b5bbff73b5",
"detected_licenses": [
"MIT"
],
"directory_id": "7c8b5f35cad9d47b750ee26f2ee0f2701a049918",
"extension": "py",
"file... | 3.90625 | stackv2 | """
Least squares is a powerful technique for finding a function from a relatively
small family of potential functions that best describe a particular set of data.
This technique is especially common in statistics. For example, least squares
is used in linear regression problems – here, the family of potential function... | 45 | 33.42 | 80 | 9 | 433 | python | [] | 0 | true | |
2024-11-18T22:11:39.551671+00:00 | 1,511,453,078,000 | 0e470526ebcc33c436177108bbc56ca93cbd9f01 | 3 | {
"blob_id": "0e470526ebcc33c436177108bbc56ca93cbd9f01",
"branch_name": "refs/heads/master",
"committer_date": 1511453078000,
"content_id": "d4aa7bc8e2e61109761e0fa49f46b79be78c7059",
"detected_licenses": [
"MIT"
],
"directory_id": "54b867b0413a3379b6500f4ddfc2e799002f5d79",
"extension": "py",
"fi... | 2.75 | stackv2 | #!/usr/bin/env python3
import os, sys
from argparse import ArgumentParser, FileType
from yaml import safe_load as load
from jinja2 import Template
def main():
parser = ArgumentParser()
parser.add_argument('input', type=FileType('r'))
parser.add_argument('output', nargs='?', type=FileType('w'), default=sys.stdou... | 27 | 22.44 | 82 | 12 | 154 | python | [{"finding_id": "codeql_py/jinja2/autoescape-false_e4b6027691c62c86_03150461", "tool_name": "codeql", "rule_id": "py/jinja2/autoescape-false", "finding_type": "problem", "severity": "medium", "confidence": "medium", "message": "Using jinja2 templates with autoescape=False can potentially allow XSS attacks.", "remediati... | 1 | true | |
2024-11-18T22:11:39.605217+00:00 | 1,580,395,027,000 | dd89a2d24956fa7ef33ef1f86137ff1072a3b477 | 2 | {
"blob_id": "dd89a2d24956fa7ef33ef1f86137ff1072a3b477",
"branch_name": "refs/heads/master",
"committer_date": 1580395027000,
"content_id": "bf786883fac318a42050da3c22bf62d4a7239926",
"detected_licenses": [
"MIT"
],
"directory_id": "6a7bd3fce2e7744d252e4b959e82454d10d5d098",
"extension": "py",
"fi... | 2.3125 | stackv2 | from ipywidgets import *
import ipygee as ui
from .calendar import Calendar
class Scores(ui.widgets.CheckAccordion):
def __init__(self, **kwargs):
self.outliers = SelectMultiple(description='Outliers bands')
self.medoid = SelectMultiple(description='Medoid bands')
self.doy = Calendar(month... | 42 | 35.24 | 74 | 15 | 341 | python | [] | 0 | true | |
2024-11-18T22:11:39.712710+00:00 | 1,508,753,499,000 | a72ced34e5ecb404d30f068dbf1b57f7b7afc4ce | 2 | {
"blob_id": "a72ced34e5ecb404d30f068dbf1b57f7b7afc4ce",
"branch_name": "refs/heads/master",
"committer_date": 1508753499000,
"content_id": "6503286b6d06a3aee9d1af253c781836dd5245d4",
"detected_licenses": [
"MIT"
],
"directory_id": "ba98d4ba587ecb7d7941cb32d1df1adea4332ebf",
"extension": "py",
"fi... | 2.421875 | stackv2 | import CppHeaderParser
from difflib import SequenceMatcher
import os, re, glob
class CppHeader(object):
def __init__(self):
pass
class TestReader(object):
def __init__(self, writer, includeResolver = None):
self.writer = writer
self._includeResolver = includeResolver
def _handleIn... | 292 | 38.39 | 132 | 21 | 2,114 | python | [] | 0 | true | |
2024-11-18T22:11:39.837346+00:00 | 1,529,597,644,000 | 4f9a855d7e542c839764b2ac0a8573c759c416aa | 3 | {
"blob_id": "4f9a855d7e542c839764b2ac0a8573c759c416aa",
"branch_name": "refs/heads/master",
"committer_date": 1529597644000,
"content_id": "cdb2ce92cd3f3115a9bee4cf03d3284ac0ddc03b",
"detected_licenses": [
"MIT"
],
"directory_id": "6a74ca985f5f4ea51b78b08981cedc17c514cee4",
"extension": "py",
"fi... | 2.796875 | stackv2 | # -*- coding: utf-8 -*-
# ena_processing module for epistemic network analysis
import os
import numpy as np
def look_for_topic_score(a_dict,word,size):
values = []
the_keys = a_dict.keys()
for key in the_keys:
if word.startswith(key):
values = a_dict[key]
return values
... | 136 | 34.15 | 95 | 16 | 1,217 | python | [] | 0 | true | |
2024-11-18T22:11:39.964916+00:00 | 1,592,179,250,000 | 56623b7be64ce15d5821a602960e64b890626778 | 3 | {
"blob_id": "56623b7be64ce15d5821a602960e64b890626778",
"branch_name": "refs/heads/master",
"committer_date": 1592179250000,
"content_id": "8f076822bfba9698d4fef0fca89b1c163c155c1a",
"detected_licenses": [
"MIT"
],
"directory_id": "c0fc645c9a5be5fc3bd862ab7887db56b29f6bc3",
"extension": "py",
"fi... | 2.78125 | stackv2 | from django.shortcuts import render, redirect, HttpResponse
from django.utils.crypto import get_random_string
from datetime import datetime
import random
def index(request):
now = datetime.now()
print(now)
context = {
'current_time': now
}
#totalGold = is a cookie stored in dict
... | 103 | 33.16 | 112 | 15 | 817 | python | [] | 0 | true | |
2024-11-18T22:11:40.049235+00:00 | 1,538,975,699,000 | 1671307a7aa67820425ebe43ece0d1d1cca98127 | 3 | {
"blob_id": "1671307a7aa67820425ebe43ece0d1d1cca98127",
"branch_name": "refs/heads/master",
"committer_date": 1538975699000,
"content_id": "7e043ac46401157abed4593ebe4837567a549d3b",
"detected_licenses": [
"MIT"
],
"directory_id": "89d63a264d19548c438bcb804c699ca7ed70d6a4",
"extension": "py",
"fi... | 2.734375 | stackv2 | import discord
from feedgen.feed import FeedGenerator
import config
token = open(".token", "r").read()
client = discord.Client()
feed = FeedGenerator()
feed.title(config.feedtitle)
feed.link(href=config.feedlink)
feed.description(config.feeddescription)
@client.event
async def on_ready():
print("Logged in as", c... | 32 | 26.91 | 63 | 13 | 193 | python | [] | 0 | true | |
2024-11-18T22:11:40.648394+00:00 | 1,569,030,245,000 | 0b100600f048f7d93452ea7466655108dc1e1962 | 3 | {
"blob_id": "0b100600f048f7d93452ea7466655108dc1e1962",
"branch_name": "refs/heads/master",
"committer_date": 1569030245000,
"content_id": "ac205155c07c807fabce49197af8fe326aeeeff2",
"detected_licenses": [
"MIT"
],
"directory_id": "94462ad305ce7811a46ed7e14db774a8dd303442",
"extension": "py",
"fi... | 2.984375 | stackv2 | #
# @lc app=leetcode id=200 lang=python3
#
# [200] Number of Islands
#
class Solution:
def numIslands(self, grid) -> int:
if not grid:
return 0
rows, cols = len(grid), len(grid[0])
visited = [[False for x in col] for col in grid]
islands = 0
def dfs(i, j):
... | 30 | 25.07 | 94 | 15 | 227 | python | [] | 0 | true | |
2024-11-18T22:11:40.711699+00:00 | 1,618,750,482,000 | d2dfb26a85dad66d15cd2d2cf2697b9c7b29dbc2 | 3 | {
"blob_id": "d2dfb26a85dad66d15cd2d2cf2697b9c7b29dbc2",
"branch_name": "refs/heads/main",
"committer_date": 1618750482000,
"content_id": "eb17126f699a113b00b29a18931fdfed89950e8f",
"detected_licenses": [
"MIT"
],
"directory_id": "466904871bf1fa4396be1951c4c992d7727a1aad",
"extension": "py",
"file... | 2.671875 | stackv2 | import pandas as pd
import numpy as np
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
external_stylesheets = ['https://codepen.io/chr... | 226 | 25.23 | 87 | 20 | 1,905 | python | [] | 0 | true | |
2024-11-18T22:11:40.776912+00:00 | 1,634,111,410,000 | d4eee081e6125fe367a0a794c2aec792a693c180 | 3 | {
"blob_id": "d4eee081e6125fe367a0a794c2aec792a693c180",
"branch_name": "refs/heads/master",
"committer_date": 1634111410000,
"content_id": "e4f789769b46a9eaef4367d5c6e5b13341dabaea",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "8ea7049d5d0f51a50648092948379ac8e72f7885",
"extension": "py"... | 2.578125 | stackv2 | #!/usr/bin/python
import matplotlib.pyplot as plt
import numpy as np
import common as c
#Line following clock time
def rt_time_line(clock_l, clock_unit, rt_l, rt_unit, output_file):
fs = 10; bw = 0.5; lw = 1.5; cs=2.5; ms=4
plt.figure(figsize=(8,4))
plt.plot(clock_l, rt_l, '--', linewidth=lw, label="Roundtrip L... | 85 | 41.56 | 106 | 13 | 1,230 | python | [] | 0 | true | |
2024-11-18T22:11:40.957474+00:00 | 1,593,905,728,000 | b31748c1bb8549d7020da55534b2b12435184e86 | 3 | {
"blob_id": "b31748c1bb8549d7020da55534b2b12435184e86",
"branch_name": "refs/heads/master",
"committer_date": 1593905728000,
"content_id": "cf6f29208e7342168d8040697813351f2cd7e70f",
"detected_licenses": [
"MIT"
],
"directory_id": "5d9c05cd100dc20d5b641ae7832c65d3c8508f3e",
"extension": "py",
"fi... | 2.921875 | stackv2 | # get config to connect to database
import json
import mysql.connector
class MySQLConnector:
"Singleton"
instance = None
class MySQLConnectorSingleton:
"Inner Class"
def __init__(self, config_path):
data = json.load(open(config_path))
config = {
... | 29 | 29.1 | 89 | 14 | 168 | python | [] | 0 | true | |
2024-11-18T22:11:41.140492+00:00 | 1,648,045,692,000 | 42ef7b0647dc0fe2ce93de4b66c19c1d84ec378a | 3 | {
"blob_id": "42ef7b0647dc0fe2ce93de4b66c19c1d84ec378a",
"branch_name": "refs/heads/master",
"committer_date": 1648045692000,
"content_id": "113146415bc676dd59a9e6402814d028669cad21",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "738df50d55fe023c62467f7d72255f9f372bfd8a",
"extension": "py"... | 2.625 | stackv2 | import json
import boto3
import base64
import os
import uuid
from datetime import datetime
S3_BUCKET_UPLOAD_IMAGE = os.environ['S3_BUCKET_UPLOAD_IMAGE']
client_s3 = boto3.client('s3')
def putObjectToS3(data):
print ('>> putObjectToS3')
# Generate file name
originalNameAndExt = data['name']
divi... | 44 | 23.89 | 63 | 12 | 279 | python | [] | 0 | true | |
2024-11-18T22:11:41.200331+00:00 | 1,611,652,566,000 | aa15373e972f01202f04eea8cf39d08f7040ddb1 | 3 | {
"blob_id": "aa15373e972f01202f04eea8cf39d08f7040ddb1",
"branch_name": "refs/heads/master",
"committer_date": 1611652566000,
"content_id": "6c15d2094c64449569adee8a8666606627601852",
"detected_licenses": [
"MIT"
],
"directory_id": "8d6020321aa4d67971624325d7221adb4ac21bcf",
"extension": "py",
"fi... | 2.65625 | stackv2 | import unittest
from injecta.service.argument.PrimitiveArgument import PrimitiveArgument
class PrimitiveArgumentTest(unittest.TestCase):
def test_string(self):
argument = PrimitiveArgument('hello world')
self.assertEqual('\'hello world\'', argument.getStringValue())
def test_number(self):
... | 58 | 32.93 | 144 | 11 | 414 | python | [] | 0 | true | |
2024-11-18T22:11:41.247278+00:00 | 1,626,564,615,000 | 02041f61238d2c3cdabf1d04692695135be17da9 | 3 | {
"blob_id": "02041f61238d2c3cdabf1d04692695135be17da9",
"branch_name": "refs/heads/main",
"committer_date": 1626564615000,
"content_id": "8dde37bf24aa7e5c2a5f72cb39cabe0d82a4b203",
"detected_licenses": [
"MIT"
],
"directory_id": "7aa18c68ffc0824463e52a4299420d9ceb3d009c",
"extension": "py",
"file... | 2.625 | stackv2 | # Rocket class definition
# Maintained by Raihaan Usman and Luis Marques
from libraries.components.Component import Component as Component
import pickle, os
class Rocket:
def __init__ (self, name, defined_constraints={}, enforced_constraints=[]):
self.name = name
self.constraints = defined_const... | 68 | 32.13 | 155 | 19 | 451 | python | [] | 0 | true | |
2024-11-18T22:11:41.307001+00:00 | 1,673,295,091,000 | 1fbc1c2ee571152528133c8494a2c4d44d561cac | 3 | {
"blob_id": "1fbc1c2ee571152528133c8494a2c4d44d561cac",
"branch_name": "refs/heads/master",
"committer_date": 1673295091000,
"content_id": "8d6b540cfd67ccec5f56817e763b40210309f5db",
"detected_licenses": [
"MIT"
],
"directory_id": "7de9290f987f3233ff526f842f80206a3fb7d6a8",
"extension": "py",
"fi... | 2.859375 | stackv2 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import seaborn as sns
import os
#from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
class Plot:
def bar_plot(self, xlabel, ylabel, zlabel, xxlabels, yylabels, view, save, variance=False, cu... | 143 | 28.66 | 142 | 17 | 1,023 | python | [] | 0 | true | |
2024-11-18T22:11:41.422099+00:00 | 1,598,546,215,000 | abd70bb8d681b1ec1d382945e765a82de6decd38 | 4 | {
"blob_id": "abd70bb8d681b1ec1d382945e765a82de6decd38",
"branch_name": "refs/heads/master",
"committer_date": 1598546215000,
"content_id": "c6f36af34f9b25c4fc1ecc9e2d575ccb37491ca2",
"detected_licenses": [
"MIT"
],
"directory_id": "280dee3aa31737800c58adaf5c7c1e61dd58e8b2",
"extension": "py",
"fi... | 3.984375 | stackv2 |
#Diccionario
diccionario = {'variable1': "kebapconverduras",'variable2': "kelv9"}
print(diccionario['variable1'])
#Lista
lista = ["ASDasd","ASDAsd",15.8,'asdasd',""]
print(lista[-3])
#Inmutable
tupla1 = ("Hola","Mundo")
texto1, texto2= tupla1
print(texto1, texto2)
#Identacion y condicionales.
if diccionario['variabl... | 23 | 19.91 | 68 | 9 | 164 | python | [] | 0 | true | |
2024-11-18T22:11:41.918097+00:00 | 1,691,839,659,000 | 6fa5383f2cfa65f72482de72e3e17786a030b1f5 | 4 | {
"blob_id": "6fa5383f2cfa65f72482de72e3e17786a030b1f5",
"branch_name": "refs/heads/main",
"committer_date": 1691839659000,
"content_id": "98821a3b1f9d74d58249d5394bb37f9887078dde",
"detected_licenses": [],
"directory_id": "dbbfad3e182c60b1aee658feddca196ae12a85df",
"extension": "py",
"filename": "excel... | 3.734375 | stackv2 | import os
from openpyxl import load_workbook
def get_cell_value_handle_error(cell):
"""
Retrieve the value of a given cell and handle error types.
Parameters
----------
cell : openpyxl.cell.cell.Cell
The cell to get the value from.
Returns
--------
object
The value o... | 139 | 24.52 | 106 | 16 | 783 | python | [] | 0 | true | |
2024-11-18T22:11:41.970587+00:00 | 1,664,464,162,000 | 7f2900105ba4d0629ac78fa138356df14a6fd71f | 2 | {
"blob_id": "7f2900105ba4d0629ac78fa138356df14a6fd71f",
"branch_name": "refs/heads/main",
"committer_date": 1664464162000,
"content_id": "2fbaa42ffeab086c14d2e1c1393305d5e4cee99c",
"detected_licenses": [
"MIT"
],
"directory_id": "ee08398cd300de34582479e1d15aaaaf128e8701",
"extension": "py",
"file... | 2.375 | stackv2 | import pandas as pd
import numpy
import networkx
def getConnectionToTF(model, allTFs, affectedNodes):
g = networkx.from_pandas_edgelist(model, 'source', 'target', create_using=networkx.DiGraph())
allNodes = numpy.array(list(g.nodes))
includedTFs = numpy.intersect1d(allTFs, allNodes)
connectedToTF = nu... | 127 | 41.51 | 141 | 18 | 1,450 | python | [] | 0 | true | |
2024-11-18T22:11:42.055999+00:00 | 1,618,395,271,000 | d024624b964886d44a7fd93d2592228e37c01c80 | 3 | {
"blob_id": "d024624b964886d44a7fd93d2592228e37c01c80",
"branch_name": "refs/heads/master",
"committer_date": 1618395271000,
"content_id": "17485258bcf325b3abb2044da7d811eba72cb656",
"detected_licenses": [
"MIT"
],
"directory_id": "92d46641d3ad7d1e02c8493927d4f514ff471e0a",
"extension": "py",
"fi... | 3.09375 | stackv2 | from typing import Dict
from matplotlib import pyplot as plt
from PIL import Image
from services.classify import ClassificationResult
def display_classification_results(results: ClassificationResult) -> None:
"""
Display a GUI window showing the images
and the probabilities that a given image is classif... | 32 | 27.97 | 96 | 12 | 232 | python | [] | 0 | true | |
2024-11-18T22:11:42.170365+00:00 | 1,655,445,135,000 | 1d6937149e89db69355f126f707fff6d9f76810f | 2 | {
"blob_id": "1d6937149e89db69355f126f707fff6d9f76810f",
"branch_name": "refs/heads/master",
"committer_date": 1655445135000,
"content_id": "07774626ae0e132efe031e7e5378e92c26b09ab0",
"detected_licenses": [
"MIT"
],
"directory_id": "6b0a3af51d2d715b44c44a0c1b85b767b7376ca7",
"extension": "py",
"fi... | 2.484375 | stackv2 | import logging
import threading
import RPi.GPIO as GPIO
logger = logging.getLogger('EInkUI')
class ButtonAndLed:
def __init__(self, controller, button_gpio=26, led_gpio=21):
self.button_gpio = button_gpio
self.controller = controller
GPIO.setmode(GPIO.BCM)
GPIO.setup(button_gpio,... | 38 | 26.68 | 76 | 14 | 237 | python | [] | 0 | true | |
2024-11-18T22:11:42.395119+00:00 | 1,596,135,238,000 | f1f0d8af00fef1ccd0463d2ba1a1f54f5ae6051d | 3 | {
"blob_id": "f1f0d8af00fef1ccd0463d2ba1a1f54f5ae6051d",
"branch_name": "refs/heads/master",
"committer_date": 1596135238000,
"content_id": "c3a29b9f7dbe3782a41b18559a4e4aa02dc3a9c8",
"detected_licenses": [
"MIT"
],
"directory_id": "bfa18247f4d3df9dab1dc6ec307fd58adec42ade",
"extension": "py",
"fi... | 2.53125 | stackv2 | import os,sys,inspect
currentdir = os.getcwd()
parentdir = os.path.dirname(currentdir)
sys.path.insert(0,parentdir)
import utils.bot as bot
def lets_chat():
model = bot.Model()
prevMsg = None
try:
while True:
question = input('\nask : ')
reply_m ... | 34 | 19.44 | 66 | 14 | 144 | python | [] | 0 | true | |
2024-11-18T22:11:42.447967+00:00 | 1,686,708,338,000 | 74f25a81ecee583d623a891be4a93bb2713e23c9 | 3 | {
"blob_id": "74f25a81ecee583d623a891be4a93bb2713e23c9",
"branch_name": "refs/heads/master",
"committer_date": 1687234657000,
"content_id": "0f9f1663bedb3af3caf1571a8ffb3d2c3ac6d2cf",
"detected_licenses": [
"MIT"
],
"directory_id": "fa42a30d96bbdfa9b81de691013e68c2dcedc27d",
"extension": "py",
"fi... | 3.453125 | stackv2 | # This script reads source files given as arguments and rewrites them,
# replacing anything that looks like a copyright header with
# the contents of 'header.inc'. The |year| placeholder is replaced
# with the current year.
import datetime
import os
import shutil
import sys
import tempfile
# The rules for recognizing... | 108 | 29.68 | 80 | 17 | 707 | python | [] | 0 | true | |
2024-11-18T22:11:42.634816+00:00 | 1,575,927,628,000 | 27bccd833254ae2013ed8dd23c976ed0db1f46fb | 3 | {
"blob_id": "27bccd833254ae2013ed8dd23c976ed0db1f46fb",
"branch_name": "refs/heads/master",
"committer_date": 1575927628000,
"content_id": "2879cb305b14e1d13c1e8efe5187614b288ae403",
"detected_licenses": [
"MIT"
],
"directory_id": "f052da8e80d9fb4805a45f0097c56b891f93b633",
"extension": "py",
"fi... | 2.515625 | stackv2 | import json
import random
import string
from liquid_dl.settings import BASE_DIR
import os
from passlib.hash import pbkdf2_sha256
def create_new_cloudcmd_password(N=10):
os.chdir(BASE_DIR)
cmd = "node node_modules/cloudcmd/bin/cloudcmd --username admin --password "
new_pswrd = ''.join(random.SystemRandom(... | 36 | 33.36 | 111 | 12 | 321 | python | [] | 0 | true | |
2024-11-18T22:11:43.231077+00:00 | 1,515,766,814,000 | a02fd88d47f4efd0afd70711e280995027cde4e6 | 3 | {
"blob_id": "a02fd88d47f4efd0afd70711e280995027cde4e6",
"branch_name": "refs/heads/master",
"committer_date": 1515766814000,
"content_id": "d80b78049645b4c7e27df80e6ed30df841aed1e2",
"detected_licenses": [
"MIT"
],
"directory_id": "6a359cc353252935e1dbfea50a093253afdb8cba",
"extension": "py",
"fi... | 3.390625 | stackv2 | from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
from itertools import cycle
def fraction_bar(counts,labels,ax=None,cmap_name="Dark2",
legend=True,horizontal=True,title="",number=False):
# Get an axis
if ax is None:
figsize = (10,1)
if not hori... | 49 | 31.59 | 93 | 16 | 442 | python | [] | 0 | true | |
2024-11-18T22:11:43.341881+00:00 | 1,546,857,392,000 | 69a9214fca9b350c9c2e468b749b1b5da94db784 | 3 | {
"blob_id": "69a9214fca9b350c9c2e468b749b1b5da94db784",
"branch_name": "refs/heads/master",
"committer_date": 1546857392000,
"content_id": "4f85b1c2faced793756d98eb74945176c8750c12",
"detected_licenses": [
"MIT"
],
"directory_id": "a3e70d262535691f5b001e728d0b9a2c111fa92c",
"extension": "py",
"fi... | 2.828125 | stackv2 | #!/usr/local/bin/python
# -*- coding: utf-8 -*-
import pyparsing as pp
from pyparsing_ext.actions import *
arithOplist = [('**', 2, pp.opAssoc.RIGHT, RightBinaryOperatorAction),
(pp.oneOf('+ - ~'), 1, pp.opAssoc.RIGHT, UnaryOperatorAction),
(pp.oneOf('* / // %'), 2, pp.opAssoc.LEFT, BinaryOperatorAction),
... | 52 | 36.85 | 89 | 11 | 533 | python | [] | 0 | true | |
2024-11-18T22:11:43.388838+00:00 | 1,594,460,989,000 | 5d40e402f67bf79bb8f8ca9f0a0fe12fe1b665ad | 3 | {
"blob_id": "5d40e402f67bf79bb8f8ca9f0a0fe12fe1b665ad",
"branch_name": "refs/heads/master",
"committer_date": 1594460989000,
"content_id": "db6fe050864dbe086655e959e056b96af1d427c8",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "6ecee1d9c6bcb33b659e3bc174420f7b4b0aa40c",
"extension": "py"... | 2.859375 | stackv2 | import numpy as np
from skimage.transform import ProjectiveTransform, FundamentalMatrixTransform
from rust_bindings import homogeneous
def get_rotation(T):
return T[0:3, 0:3]
def get_translation(T):
return T[0:3, 3]
def get_rotation_translation(T):
return get_rotation(T), get_translation(T)
def inv... | 149 | 20.32 | 77 | 14 | 1,023 | python | [] | 0 | true | |
2024-11-18T22:11:43.499319+00:00 | 1,523,643,163,000 | be440135a7e81bdebadabf66e7ad7a99222ab9f1 | 2 | {
"blob_id": "be440135a7e81bdebadabf66e7ad7a99222ab9f1",
"branch_name": "refs/heads/master",
"committer_date": 1523643163000,
"content_id": "975b6dbe410b1541e458ed60045c48c5a29f64af",
"detected_licenses": [
"MIT"
],
"directory_id": "25978f857bcd50b425481168f30f025771a657ad",
"extension": "py",
"fi... | 2.34375 | stackv2 | import os
import json
import pickle
import shutil
import argparse
import numpy as np
from tqdm import *
from models import *
import pandas as pd
import nibabel as nib
from random import seed, shuffle
from keras.layers import *
from keras.callbacks import CSVLogger
from keras.optimizers import SGD, Adam, Adagrad
from s... | 369 | 31.8 | 100 | 17 | 3,052 | python | [] | 0 | true | |
2024-11-18T22:11:43.569820+00:00 | 1,641,990,080,000 | 84be32e147d9c6b72752c7a40e67c5496c3a27b0 | 3 | {
"blob_id": "84be32e147d9c6b72752c7a40e67c5496c3a27b0",
"branch_name": "refs/heads/master",
"committer_date": 1641990080000,
"content_id": "22caacde70399b507623d9cd72453e452961d0f9",
"detected_licenses": [
"Unlicense"
],
"directory_id": "d159b8f142cc40a91c3d5f469e41a481aa976ccc",
"extension": "py",... | 2.640625 | stackv2 | import discord
TOKEN = "<Add token string here>"
claimed_rooms = {}
class DiscordDriverClient(discord.Client):
async def on_ready(self):
print("Connection is ready")
async def on_group_join(self, channel, user):
print("User joined the group")
print(channel.__dict__)
print(user.__dict__)
async ... | 77 | 37.35 | 112 | 20 | 663 | python | [] | 0 | true | |
2024-11-18T22:11:43.624235+00:00 | 1,689,056,330,000 | 7877db4b99b9883867ef05cd814228c6e8f15175 | 3 | {
"blob_id": "7877db4b99b9883867ef05cd814228c6e8f15175",
"branch_name": "refs/heads/main",
"committer_date": 1689056330000,
"content_id": "3b8091486c8c9fceef5409f2059fd279910d0cca",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "5b7c2feb27a71837edf526315d413706a6bf82ff",
"extension": "py"... | 3 | stackv2 | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/util/box_ops.py
import torch
from torch import Tensor
from torchvision.ops.boxes import box_area
def box_cxcywh_to_xyxy(x: Tensor):
x_c, y_c, w, h = x.unbind(-1)
b = [(x_c - 0.5... | 57 | 28.95 | 76 | 11 | 628 | python | [] | 0 | true | |
2024-11-18T22:11:43.677016+00:00 | 1,520,836,877,000 | acc86af0adbc79d4a5ea5c472a0d1d71a83b188b | 3 | {
"blob_id": "acc86af0adbc79d4a5ea5c472a0d1d71a83b188b",
"branch_name": "refs/heads/master",
"committer_date": 1520836877000,
"content_id": "e6a3a7532337d4ce8ca0922d6536ebf10720f3ad",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "970e890767da78ec287c9a72fea0154e9defb39d",
"extension": "py"... | 2.578125 | stackv2 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
__author__ = 'xiaosong Liu'
import tensorflow as tf
import numpy as np
import functools
def lazy_property(function):
attribute = '_' + function.__name__
@property
@functools.wraps(function)
def wrapper(self):
if not hasattr(self, attribute):
setattr(self, attri... | 106 | 33.16 | 123 | 18 | 964 | python | [] | 0 | true | |
2024-11-18T22:11:43.797156+00:00 | 1,529,368,899,000 | a28fbdf199b9cc5881bf147ea415739c38aab716 | 3 | {
"blob_id": "a28fbdf199b9cc5881bf147ea415739c38aab716",
"branch_name": "refs/heads/master",
"committer_date": 1529368899000,
"content_id": "797e4fbb73121b1876210b4278e2a06bac56a7dd",
"detected_licenses": [
"MIT"
],
"directory_id": "b2d320ccaff0aea90ec582a4543dcd482fbe7a2f",
"extension": "py",
"fi... | 2.734375 | stackv2 | import sys
import pygame
import game_functions as gf
from pygame.sprite import Group
from settings import Settings
from game_stats import GameStats
from scoreboard import Scoreboard
from button import Button
from ship import Ship
from enemy import Alien
from background import Background
def run_game():
"""Main gam... | 45 | 33.89 | 88 | 11 | 360 | python | [] | 0 | true | |
2024-11-18T22:11:43.861114+00:00 | 1,634,485,514,000 | 2c819ca4948ded2631edf743173565c03a79ffab | 4 | {
"blob_id": "2c819ca4948ded2631edf743173565c03a79ffab",
"branch_name": "refs/heads/main",
"committer_date": 1634485514000,
"content_id": "dc86ff010e63e924748961c7b0b173923a7c2d64",
"detected_licenses": [
"MIT"
],
"directory_id": "8fef8af953e8dafde78c671e8ee9813d08ab2d60",
"extension": "py",
"file... | 3.5625 | stackv2 | # https://leetcode.com/problems/gas-station/
#https://leetcode.com/problems/gas-station/discuss/1004074/Greedy-Method-or-Explanation-%2B-Visual-or-Python
# To make a car work the difference between gas available at the gas station i.e gas[i] and the gas in the car
# cost[i] should be positive
# Once we get this poi... | 27 | 32.96 | 111 | 11 | 265 | python | [] | 0 | true | |
2024-11-18T22:11:43.916253+00:00 | 1,629,433,414,000 | 43981f632556bd47aa05e1aad4eda6db9269eb92 | 2 | {
"blob_id": "43981f632556bd47aa05e1aad4eda6db9269eb92",
"branch_name": "refs/heads/main",
"committer_date": 1629433414000,
"content_id": "c9dd9a083d913376831a38b4d1ff534e69918eb1",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "bbf9fdde40203535c05a4b4580e8ae4e8aff193a",
"extension": "py",
... | 2.375 | stackv2 | # From Python
# It requires OpenCV installed for Python
from .PoseEstimation import PoseEstimation
import sys
import cv2
import os
# import DTW
import numpy as np
from .utils import limb_breakdown, crop_resize_image
class OpenPose(PoseEstimation):
def __init__(self):
try:
# Import Openpose (Win... | 88 | 31.5 | 131 | 19 | 692 | python | [] | 0 | true | |
2024-11-18T22:11:44.494099+00:00 | 1,555,101,147,000 | ca87233225fcd1e5efbdd4a2f3a79ddae82e90c7 | 2 | {
"blob_id": "ca87233225fcd1e5efbdd4a2f3a79ddae82e90c7",
"branch_name": "refs/heads/master",
"committer_date": 1555101147000,
"content_id": "b7a52f07d446dd3561b98cf35f83b5e248820887",
"detected_licenses": [
"MIT"
],
"directory_id": "30df673e7925ae51f88c1cfcc52dbd4e364b24d9",
"extension": "py",
"fi... | 2.453125 | stackv2 | from enums.dependency_type import DependencyType
class QuantityDependency:
def __init__(self, dependency_type: DependencyType,
start_quantity,
end_quantity,
start_quantity_values=None,
start_quantity_gradients=None,
end_quantity_v... | 18 | 39.22 | 64 | 9 | 118 | python | [] | 0 | true | |
2024-11-18T22:11:44.584362+00:00 | 1,480,962,009,000 | 1689d93b1f08fccf994ac640ba79ce381e33380c | 2 | {
"blob_id": "1689d93b1f08fccf994ac640ba79ce381e33380c",
"branch_name": "refs/heads/master",
"committer_date": 1480962009000,
"content_id": "e3326193b3830e979388d91fdf8930f647d5efbe",
"detected_licenses": [
"ISC"
],
"directory_id": "702a34e117e7d65735b79c35dd0f035f62665745",
"extension": "py",
"fi... | 2.484375 | stackv2 | # -*- coding: utf-8 -*-
import re
from ConfigParser import ConfigParser
import os
from twisted.internet import defer
from bouser.utils import safe_int
__author__ = 'viruzzz-kun'
re_usagi_config = re.compile(ur'https?://.*', re.U)
re_local_config = re.compile(ur'((file://)?/)?.*', re.U)
def set_value(d, path, ite... | 64 | 25.23 | 65 | 18 | 407 | python | [] | 0 | true | |
2024-11-18T22:11:49.542681+00:00 | 1,576,474,010,000 | c12e2cd567d21e574922bbcb54e0d112b6d4c807 | 4 | {
"blob_id": "c12e2cd567d21e574922bbcb54e0d112b6d4c807",
"branch_name": "refs/heads/master",
"committer_date": 1576474010000,
"content_id": "9fa74324588c87d4eb279a4e3b8d3dcac19a8bec",
"detected_licenses": [
"MIT"
],
"directory_id": "2f0681ba95a35c0335d5e9ae810547f5653f89e9",
"extension": "py",
"fi... | 3.546875 | stackv2 | # vendor imports
import click
@click.command()
@click.argument("input_file", type=click.File("r"))
def main(input_file):
"""Put your puzzle execution code here"""
# Convert the comma-delimited string of numbers into a list of ints
register = list(
map(lambda op: int(op), input_file.read().strip().... | 70 | 27.76 | 78 | 17 | 463 | python | [] | 0 | true | |
2024-11-18T22:11:49.714183+00:00 | 1,598,623,305,000 | 2e78719d90ea929566bf63fef35a7a35e157acbc | 3 | {
"blob_id": "2e78719d90ea929566bf63fef35a7a35e157acbc",
"branch_name": "refs/heads/master",
"committer_date": 1598623305000,
"content_id": "5eb8b98035c0a5e88188a5a0af256ed07109bbf3",
"detected_licenses": [
"MIT"
],
"directory_id": "6469ddc4f050a38237f3ccd62f9099900a711d73",
"extension": "py",
"fi... | 2.84375 | stackv2 | from rest_framework.pagination import PageNumberPagination
from rest_framework.response import Response
class CustomPagination(PageNumberPagination):
def get_paginated_response(self, data):
total_objs = self.page.paginator.count
objes_per_count = self.get_page_size(self.request)... | 44 | 36.75 | 175 | 16 | 362 | python | [] | 0 | true | |
2024-11-18T22:11:49.852932+00:00 | 1,671,832,928,000 | d34c8149cf775077e8ecee5dfb2272c2392a7d59 | 2 | {
"blob_id": "d34c8149cf775077e8ecee5dfb2272c2392a7d59",
"branch_name": "refs/heads/master",
"committer_date": 1671832928000,
"content_id": "29560c8c72044e71043f1c89f20f1de62e9f98dc",
"detected_licenses": [
"MIT"
],
"directory_id": "d77545ea6755126f47b92f775ec9480f6a7ad1f7",
"extension": "py",
"fi... | 2.3125 | stackv2 | """Train script.
Usage:
train.py <hparams> <dataset_root> [--cuda=<id>]
train.py -h | --help
Options:
-h --help Show this screen.
--cuda=<id> id of the cuda device [default: 0].
"""
import torch
import numpy as np
import json
from docopt import docopt
from os.path import join
from irl_dcb.config import ... | 59 | 33.34 | 79 | 16 | 514 | python | [] | 0 | true | |
2024-11-18T22:11:50.109240+00:00 | 1,543,980,562,000 | 0dfd228ef5bb57adb064cde5c8a6b813f0eb7b3c | 3 | {
"blob_id": "0dfd228ef5bb57adb064cde5c8a6b813f0eb7b3c",
"branch_name": "refs/heads/master",
"committer_date": 1543980562000,
"content_id": "1068168d680d34638dc20fb43787d3e93c976af8",
"detected_licenses": [
"MIT"
],
"directory_id": "a290eba23a67c2843e1a09479125abe694ba21a7",
"extension": "py",
"fi... | 2.765625 | stackv2 | import boto3
BUCKET = ' your bucket name' #input your bucket name
KEY = ' My file' #input your json file
# --------------- Helpers that build all of the responses ----------------------
def build_speechlet_response(title, output, reprompt_text, should_end_session):
return {
'outputSpeech':... | 134 | 34.68 | 136 | 16 | 1,000 | python | [] | 0 | true | |
2024-11-18T22:11:50.319176+00:00 | 1,632,001,576,000 | 9bc449116b546eccc5538965c3419bb114f32d8d | 3 | {
"blob_id": "9bc449116b546eccc5538965c3419bb114f32d8d",
"branch_name": "refs/heads/main",
"committer_date": 1632001576000,
"content_id": "3129848670d763ec9d0f07dc11cbe3951306bda0",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "0a69487302b10312a85701108e99d5d3b3cd225b",
"extension": "py",
... | 3 | stackv2 | import math
from typing import Union
import numpy as np
from rlgym.utils import RewardFunction
from rlgym.utils.gamestates import PlayerData, GameState
from rlgym.utils.reward_functions.common_rewards import ConstantReward
class _DummyReward(RewardFunction):
def reset(self, initial_state: GameState): pass
... | 90 | 40.01 | 116 | 16 | 825 | python | [] | 0 | true | |
2024-11-18T22:11:50.818903+00:00 | 1,584,404,423,000 | 4e0d0686f28af87dbe730da2cd12a3d3445d093f | 3 | {
"blob_id": "4e0d0686f28af87dbe730da2cd12a3d3445d093f",
"branch_name": "refs/heads/master",
"committer_date": 1584404423000,
"content_id": "ae0120c07958df27ddb90be59dede2dc46563356",
"detected_licenses": [
"MIT"
],
"directory_id": "e5fb34819dcb5153108dac3e778c6c759e922634",
"extension": "py",
"fi... | 3.15625 | stackv2 | # This Python file uses the following encoding: utf-8
import matplotlib.pyplot as plt
import json
def makePlotIterationBasic(benchmakrAsJson):
benchmarkArray = benchmakrAsJson["benchmarks"];
nameOfBenchmarkBaseIter = "IterateAndMultiplayOverLargArrayWithStep"
nameOfBenchmarkReverseIter = "IterateReverseAnd... | 70 | 42.03 | 109 | 15 | 754 | python | [] | 0 | true | |
2024-11-18T22:11:50.962186+00:00 | 1,625,664,698,000 | d3b4aae06697c6d2bbdd09326acdba0ed6aa57c6 | 2 | {
"blob_id": "d3b4aae06697c6d2bbdd09326acdba0ed6aa57c6",
"branch_name": "refs/heads/master",
"committer_date": 1625664698000,
"content_id": "b4c8363fc0d3eddae25139372378b5091c8ee4fe",
"detected_licenses": [
"MIT"
],
"directory_id": "7a8191bb9ce8b92fdde62c9d2dc0883ddbbc070a",
"extension": "py",
"fi... | 2.46875 | stackv2 | """Skynet download API.
"""
import json
import os
from . import utils
def default_download_options():
"""Returns the default download options."""
obj = utils.default_options("/")
return obj
def download_file(self, path, skylink, custom_opts=None):
"""Downloads file to path from given skylink wit... | 68 | 23 | 75 | 10 | 350 | python | [] | 0 | true | |
2024-11-18T22:11:51.245472+00:00 | 1,600,268,318,000 | 1dc86081f205b95012d63f6444993797c8080a43 | 3 | {
"blob_id": "1dc86081f205b95012d63f6444993797c8080a43",
"branch_name": "refs/heads/master",
"committer_date": 1600268318000,
"content_id": "b5c38ef8a7a0dc739c4e05898ccf394e24f693c9",
"detected_licenses": [
"MIT"
],
"directory_id": "797ff15c55ab1aaaf34b762d8764e3ab2989dd18",
"extension": "py",
"fi... | 2.71875 | stackv2 | import logging
from sklearn.base import BaseEstimator, RegressorMixin
import numpy as np
from .multinomial import MultinomialRegression
from ..utils import clip_for_log
from sklearn.metrics import log_loss
from .multinomial import _get_identity_weights
class FullDirichletCalibrator(BaseEstimator, RegressorMixin):
... | 74 | 32.47 | 143 | 13 | 569 | python | [] | 0 | true | |
2024-11-18T22:11:51.319976+00:00 | 1,624,380,229,000 | 190e60092fa3ecfa4ba2ae3d0a9c69bda7e903d6 | 2 | {
"blob_id": "190e60092fa3ecfa4ba2ae3d0a9c69bda7e903d6",
"branch_name": "refs/heads/main",
"committer_date": 1624387759000,
"content_id": "b7ea017cfb86a7cf313e0fa157b4855fd17f0216",
"detected_licenses": [
"MIT"
],
"directory_id": "01a28e08e3e21bb212c5635d2dbfc15f013a9147",
"extension": "py",
"file... | 2.5 | stackv2 | #!/usr/bin/env python3
# sudo apt install python3 python3-pip
# sudo pip3 install kafka-python prometheus-client rfc3339
import datetime, sys
from kafka import KafkaConsumer, KafkaProducer
from prometheus_client import start_http_server
from prometheus_client import Counter
from rfc3339 import rfc3339
def publish_me... | 76 | 28.34 | 119 | 15 | 537 | python | [] | 0 | true | |
2024-11-18T22:11:51.534623+00:00 | 1,541,736,278,000 | 22230262a1cba18e7d51a5e47300ababdd72d01d | 3 | {
"blob_id": "22230262a1cba18e7d51a5e47300ababdd72d01d",
"branch_name": "refs/heads/master",
"committer_date": 1541736278000,
"content_id": "6f5f15a469203afc80a526405b14a05618637500",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "53705eb05b83771bde3a61d7d80deed4e3bc6bdd",
"extension": "py"... | 2.828125 | stackv2 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import logging as log
import re
def get_html(url):
try:
response = requests.get(url, timeout=30)
response.raise_for_status()
response.encoding = 'utf-8'
return response.text
except:
... | 59 | 30.31 | 75 | 17 | 491 | python | [{"finding_id": "codeql_py/incomplete-hostname-regexp_ccecbda7954bd976_25f284a0", "tool_name": "codeql", "rule_id": "py/incomplete-hostname-regexp", "finding_type": "problem", "severity": "medium", "confidence": "high", "message": "This string, which is used as a regular expression [here](1), has an unescaped '.' befor... | 1 | true | |
2024-11-18T22:11:51.731808+00:00 | 1,595,576,885,000 | 9e18ff4964931a8e03537d1d65e4d5e97c2d0da9 | 2 | {
"blob_id": "9e18ff4964931a8e03537d1d65e4d5e97c2d0da9",
"branch_name": "refs/heads/master",
"committer_date": 1595576885000,
"content_id": "402473ecada7929d1d9cf03d59ae8a527be821ff",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "e5b7d3891d773e059ba4d4e6265af2002fc345ac",
"extension": "py"... | 2.3125 | stackv2 | # -*- coding: utf-8 -*-
# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 90 | 35.02 | 78 | 15 | 746 | python | [] | 0 | true | |
2024-11-18T22:11:52.327753+00:00 | 1,396,555,314,000 | 0f5a4b14dd7281ba39bd619e0ffadb096aae9810 | 3 | {
"blob_id": "0f5a4b14dd7281ba39bd619e0ffadb096aae9810",
"branch_name": "refs/heads/master",
"committer_date": 1396555314000,
"content_id": "c76d85899579e36302488ae4ca88836727cf5e45",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "f264f3df859e3b4a5a91bfff76281e50a47778f4",
"extension": "py"... | 3.15625 | stackv2 | #!/usr/bin/env python
import sys, random
if len(sys.argv) != 3:
sys.stderr.write("Must provide file with list of filenames and number of files to pick\n")
sys.exit(1)
file_list = open(sys.argv[1])
file_array = []
for filepath in file_list:
file_array.append(filepath.strip())
try:
choices = int(sys.argv[... | 17 | 28.06 | 94 | 10 | 127 | python | [] | 0 | true | |
2024-11-18T22:11:52.385713+00:00 | 1,600,243,384,000 | 2664317f7880588adc161007712029ba16c41e80 | 2 | {
"blob_id": "2664317f7880588adc161007712029ba16c41e80",
"branch_name": "refs/heads/master",
"committer_date": 1600294241000,
"content_id": "b6e7ad19d655bb10c87cecbdcaa0cf95aa0a89a5",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "5338c650967185dfaf86fba09b268ded79d570c1",
"extension": "py"... | 2.4375 | stackv2 | # -*- coding: utf-8 -*-
import os
import numpy as np
from keras.models import Model
import sys
# print("before")
# print(sys.path)
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))) + '/utils')
from backend import (
DummyNetFea... | 308 | 35.5 | 112 | 19 | 2,284 | python | [] | 0 | true | |
2024-11-18T22:11:52.699575+00:00 | 1,611,364,959,000 | 749a8caeca3e50cbf4ea811d0345193213938072 | 2 | {
"blob_id": "749a8caeca3e50cbf4ea811d0345193213938072",
"branch_name": "refs/heads/main",
"committer_date": 1611364959000,
"content_id": "4af007da88bbb441f2d708e43bae6de8f58f9b74",
"detected_licenses": [
"MIT"
],
"directory_id": "a60dffba4ce42aae3388784978ea172385604815",
"extension": "py",
"file... | 2.40625 | stackv2 | import logging
from pathlib import Path
from loguru import logger
from starlette.applications import Starlette
from starlette.responses import JSONResponse
from starlette.routing import Route
# set log level [DEBUG, INFO, WARNING, ERROR, CRITICAL]
LOGURU_LOGGING_LEVEL = "DEBUG"
def config_log():
# remove d... | 77 | 31.25 | 101 | 16 | 567 | python | [] | 0 | true | |
2024-11-18T22:11:52.754775+00:00 | 1,687,110,807,000 | 94c03d32e765b2ad199acc0f54128c99a1244796 | 3 | {
"blob_id": "94c03d32e765b2ad199acc0f54128c99a1244796",
"branch_name": "refs/heads/master",
"committer_date": 1687110807000,
"content_id": "41a533d7e36ef28d3fcfe670017428a07db24fc7",
"detected_licenses": [
"MIT"
],
"directory_id": "2ac01e5646032561a45f1c3283297dad58d4f5f0",
"extension": "py",
"fi... | 3.03125 | stackv2 | #!/usr/bin/python3
"""
Forked forked from https://github.com/eth-brownie/brownie/blob/master/brownie/convert/datatypes.py.
"""
# from copy import deepcopy
from decimal import Decimal, getcontext
from hexbytes import HexBytes
from typing import Any, TypeVar
try:
from vyper.exceptions import DecimalOverrideExcepti... | 222 | 31 | 99 | 16 | 1,818 | python | [] | 0 | true | |
2024-11-18T22:11:52.807152+00:00 | 1,536,258,137,000 | 91649ebb2dd422417eb61b37fa37329347c8eba8 | 3 | {
"blob_id": "91649ebb2dd422417eb61b37fa37329347c8eba8",
"branch_name": "refs/heads/master",
"committer_date": 1536273106000,
"content_id": "b9fb25e03c0ed940fff43ed701ce297127d309b5",
"detected_licenses": [
"Unlicense"
],
"directory_id": "b52f9311530e85dec2ff8975f2c4cb05f50db676",
"extension": "py",... | 2.546875 | stackv2 | '''dumpjson
Returns data from the WSDOT Traveler Info REST endpoints.
'''
import os
import json
import logging
from argparse import ArgumentParser
from . import (URLS, _DEFAULT_ACCESS_CODE,
get_traveler_info, ENVIRONMENT_VAR_NAME)
from .jsonhelpers import CustomEncoder, dict_list_to_geojson
from .field... | 67 | 30.58 | 79 | 13 | 486 | python | [] | 0 | true | |
2024-11-18T22:11:53.185289+00:00 | 1,525,032,817,000 | 15bb9465dbd9f42bf8932f800ac63ec86efdec78 | 4 | {
"blob_id": "15bb9465dbd9f42bf8932f800ac63ec86efdec78",
"branch_name": "refs/heads/master",
"committer_date": 1525032817000,
"content_id": "29ca871d3a4385ed92a7df108383465ed435e235",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "f3728053204065f1f271b9b550049d9e4342c792",
"extension": "py"... | 4.03125 | stackv2 | #52167 Programming and Scripting
#Tom Mirrington 04/2018
#script to calculate the standard deviation in each data field
#define lists for petal length, petal width, sepalk length, sepal width
petl = []
petw = []
sepl = []
sepw = []
#open data file and seperate lines into a list for each data field. count number of ... | 114 | 27.64 | 104 | 12 | 866 | python | [] | 0 | true | |
2024-11-18T22:11:53.231820+00:00 | 1,539,790,372,000 | 82330083ae66f4044afe35eadf8f515a3224a755 | 3 | {
"blob_id": "82330083ae66f4044afe35eadf8f515a3224a755",
"branch_name": "refs/heads/master",
"committer_date": 1539790372000,
"content_id": "2340dbaf8d1ad6624c7477dab7f734d5cf44d099",
"detected_licenses": [
"MIT"
],
"directory_id": "55c5cbb74f2536c6f64a0ea2826ab388d5e10575",
"extension": "py",
"fi... | 2.515625 | stackv2 | import argparse
import sys
from code.auxilliaries.graph_reader import GraphReader
from code.auxilliaries.virtuoso_graph_reader import VirtuosoGraphReader
parser = argparse.ArgumentParser(description='Extract gold relations from a conll file.')
parser.add_argument('--input_file')
args = parser.parse_args()
graph_nam... | 92 | 32.02 | 104 | 18 | 729 | python | [] | 0 | true | |
2024-11-18T22:11:53.330048+00:00 | 1,579,741,196,000 | c3bcd6f510b006f48ae9e055c509559e48e2b1ca | 2 | {
"blob_id": "c3bcd6f510b006f48ae9e055c509559e48e2b1ca",
"branch_name": "refs/heads/master",
"committer_date": 1579741196000,
"content_id": "d0cc6059535f285194fc06652775ee913af00c80",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "fb924874a27d57786d4f44d73abaaca5a002635d",
"extension": "py"... | 2.359375 | stackv2 | import paho.mqtt.client as mqtt
from sense_hat import SenseHat
from datetime import datetime
import credential as cr
import ssl, time
# topic = "oth/tony/sensor/temperature"
topic = "#"
# The callback for when the client receives a CONNACK response from # the server.
def on_connect(client, userdata, flags, rc):
... | 50 | 28 | 96 | 15 | 358 | python | [] | 0 | true | |
2024-11-18T22:11:53.510644+00:00 | 1,492,699,001,000 | 83fea501fec05ffdd5b5d57cbf1c7565df11c3ea | 3 | {
"blob_id": "83fea501fec05ffdd5b5d57cbf1c7565df11c3ea",
"branch_name": "refs/heads/master",
"committer_date": 1492699001000,
"content_id": "d61233598d2bb71ef2e7a011b140ad2b9ec90883",
"detected_licenses": [
"MIT"
],
"directory_id": "ac4d8bfe6d64c5debac70644dec7d1172f1e292c",
"extension": "py",
"fi... | 3.328125 | stackv2 | def verifyPrimeNumber(number):
numbers = number.split(' ')
s = int(numbers[0])
e = int(numbers[1])
primes=[]
for n in xrange(s+1, e):
for x in xrange(2, n):
if not n % x:
break
else:
primes.append(n)
for prime in primes:
... | 24 | 19.12 | 38 | 12 | 113 | python | [] | 0 | true | |
2024-11-18T22:11:53.637327+00:00 | 1,597,189,707,000 | 9ecdf3e198d53a075e6b5c8d948ba0845203c8d4 | 3 | {
"blob_id": "9ecdf3e198d53a075e6b5c8d948ba0845203c8d4",
"branch_name": "refs/heads/main",
"committer_date": 1597189707000,
"content_id": "97a3ae13f51517b30c93a4f0baab09286928d0c2",
"detected_licenses": [
"MIT"
],
"directory_id": "6cf5e30bc644fe78db25d97c955912c13b6cd14e",
"extension": "py",
"file... | 2.625 | stackv2 | from typing import List
# import json
import psycopg2.extras
from narratives.db.ao3_db import AO3DB
class DBFandoms(AO3DB):
def __init__(self):
self.cursor, self.connect = super().open()
self._table_creation()
def insert(self, fandoms: List):
sql = """
INSERT INTO fando... | 46 | 27.48 | 69 | 13 | 262 | python | [] | 0 | true | |
2024-11-18T22:11:53.746318+00:00 | 1,553,360,259,000 | 9099170d1feab5e270a659e54ab51f90941be057 | 3 | {
"blob_id": "9099170d1feab5e270a659e54ab51f90941be057",
"branch_name": "refs/heads/master",
"committer_date": 1553360259000,
"content_id": "ab754966e631ce85b9f3ba2296993f827c687f56",
"detected_licenses": [
"MIT"
],
"directory_id": "399adb8d74117e41682037e3357305027d9a2769",
"extension": "py",
"fi... | 2.5625 | stackv2 | # -*- coding: utf-8 -*-
import subprocess
import sys
if sys.platform == 'win32':
_cmd = ['netsh', 'wlan', 'show', 'interfaces']
_decode_coding = 'gb2312'
else:
_cmd = ['wpa_cli', 'status']
_decode_coding = 'utf-8'
# return None, False or True
def check_connected_ssid(ssid):
flag = False
... | 33 | 23.21 | 60 | 15 | 221 | python | [] | 0 | true | |
2024-11-18T22:11:53.907933+00:00 | 1,490,580,183,000 | ef0b475bdeaf3f58b1065267266bfb0d0a257725 | 2 | {
"blob_id": "ef0b475bdeaf3f58b1065267266bfb0d0a257725",
"branch_name": "refs/heads/master",
"committer_date": 1490580183000,
"content_id": "80b5aa246694689164cfdcada0d16e74c0d8f222",
"detected_licenses": [
"MIT"
],
"directory_id": "1c4fcff4694fda6cb4ad7c39306962f764010595",
"extension": "py",
"fi... | 2.375 | stackv2 | import optparse
from scapy.all import *
def banner():
print "[***] Hotel Wireless Sniffer p180 [***]"
def findGuest(pkt):
raw= pket.sprintf('%Raw.load%')
name = re.findallI('(?i)LAST_NAME=(.*)&', raw)
if name:
print '[+] Found Hotel Guest '+str(name[0])+', Room # '+str(room[0])
def main():
parser = optparse.... | 30 | 24.8 | 97 | 13 | 220 | python | [] | 0 | true | |
2024-11-18T22:11:53.962150+00:00 | 1,440,157,473,000 | 4daef6f1570ba5743b6cc1233a16646dfc0d1183 | 3 | {
"blob_id": "4daef6f1570ba5743b6cc1233a16646dfc0d1183",
"branch_name": "refs/heads/master",
"committer_date": 1440162550000,
"content_id": "213aa1316f9efb26022b35ccfa18c8f032f6e078",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "3bddd914dce4962eb747211914dea9c92c94fb6c",
"extension": "py"... | 2.6875 | stackv2 | #!/usr/bin/env python
import argparse
import logging
import re
import sys
logger = logging.getLogger(__name__)
logger.addHandler(logging.StreamHandler())
# Artifact id is a function of artifact type and artifact extension
# Combination of art_type and art_ext should be unique
ART_ID = {
(None, 'img'): 'img',
... | 147 | 24.64 | 72 | 14 | 896 | python | [] | 0 | true | |
2024-11-18T22:11:54.056782+00:00 | 1,691,693,380,000 | 037cdb22307991356d6e34d0e0979b6b8a415939 | 3 | {
"blob_id": "037cdb22307991356d6e34d0e0979b6b8a415939",
"branch_name": "refs/heads/master",
"committer_date": 1691693380000,
"content_id": "d703695cffb9009576daacae7a56909b85fa6fb4",
"detected_licenses": [
"MIT"
],
"directory_id": "5686d1a31b87a47a4774270c00cd141c221cf065",
"extension": "py",
"fi... | 2.609375 | stackv2 | # -*- coding: utf-8 -*-
"""API model base classes and mixins."""
import logging
import typing as t
from ..auth import AuthModel
from ..constants.logs import LOG_LEVEL_API
from ..http import Http
from ..logs import get_obj_log
class Model:
"""API model base class."""
http: t.ClassVar[Http] = None
"""HTTP... | 118 | 26.83 | 79 | 12 | 762 | python | [] | 0 | true | |
2024-11-18T22:11:54.160364+00:00 | 1,688,030,577,000 | 97bf0ca72d8597476097961854a0607a5a29e76f | 3 | {
"blob_id": "97bf0ca72d8597476097961854a0607a5a29e76f",
"branch_name": "refs/heads/main",
"committer_date": 1688030577000,
"content_id": "75c1cf0d02acc82829138b41fb314fa903779569",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "b346530b455135b224470511061cffcffa6274b5",
"extension": "py"... | 3.3125 | stackv2 | """Engines without parallelization."""
from typing import Any, List
from tqdm import tqdm
from .base import Engine
from .task import Task
class SingleCoreEngine(Engine):
"""
Dummy engine for sequential execution on one core.
Note that the objective itself may be multithreaded.
"""
def __init__... | 36 | 22.22 | 63 | 13 | 171 | python | [] | 0 | true | |
2024-11-18T22:11:54.233954+00:00 | 1,426,503,266,000 | f61be41563b66797c6999356bf62e6dac0424141 | 2 | {
"blob_id": "f61be41563b66797c6999356bf62e6dac0424141",
"branch_name": "refs/heads/master",
"committer_date": 1426503266000,
"content_id": "fd561affaeb3da2600f3ff3936bb002788920e6b",
"detected_licenses": [
"MIT"
],
"directory_id": "2c387cb0d024bfacf0bb614d4b0f1647454a78aa",
"extension": "py",
"fi... | 2.375 | stackv2 | import os
from .cache import Cache
from .models import CacheEntry
from .utils import get_file_hash, save_file, load_file
import shutil
import io
from .compiler import ExpressionProcessor
from .expressions import stylesheets, scripts, html
import subprocess
import tempfile
class AssetCollection(object):
def __init... | 517 | 29.7 | 83 | 19 | 3,240 | python | [] | 0 | true | |
2024-11-18T22:11:54.757303+00:00 | 1,545,116,539,000 | 75b664c73df40a089de16a3f6cb790799a608434 | 3 | {
"blob_id": "75b664c73df40a089de16a3f6cb790799a608434",
"branch_name": "refs/heads/master",
"committer_date": 1545116539000,
"content_id": "78130115db8c805119f7f931b331c79f8e372fcf",
"detected_licenses": [
"MIT"
],
"directory_id": "a0230300191f39208f86b2961e635e55f3876131",
"extension": "py",
"fi... | 3.421875 | stackv2 | from abc import ABC, abstractmethod
from src.errors import StackOverflow, StackUnderflow
class Stack(ABC):
def __init__(self, capacity: int = 16):
self.__stack = list()
self.capacity = capacity
@property
def stack(self):
return self.__stack
@abstractmethod
def push(self,... | 45 | 24.53 | 59 | 15 | 270 | python | [] | 0 | true |
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