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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-11-18T21:25:58.035336+00:00 | 1,619,356,903,000 | 15bd65fb6deb51eb4ae82833397243369365b4c5 | 3 | {
"blob_id": "15bd65fb6deb51eb4ae82833397243369365b4c5",
"branch_name": "refs/heads/master",
"committer_date": 1619356903000,
"content_id": "13fa6e7c3b6995f9cf4cc77e4667a06c4bba386f",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "5d2d586e18092d9800f689644555ad6c948c6f87",
"extension": "py"... | 3.09375 | stackv2 | from itertools import permutations
import re
def is_number(n):
is_number = True
try:
num = float(n)
# check for "nan" floats
is_number = num == num # or use `math.isnan(num)`
except ValueError:
is_number = False
return is_number
def solution(expression):
num ... | 56 | 30.55 | 74 | 25 | 350 | python | [] | 0 | true | |
2024-11-18T21:25:58.113000+00:00 | 1,623,067,425,000 | 0ffff446576aa1d774611e43cc62982719eb54ac | 3 | {
"blob_id": "0ffff446576aa1d774611e43cc62982719eb54ac",
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"content_id": "1bf8bac27fca12b5fc5e4a0180cc0752d986d616",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "6330ecd271fd3a462c0a6909ae818b65bc3cda48",
"extension": "py"... | 3.203125 | stackv2 | import os
import torch
# 本文件主要是给训练、测试过程提供便捷的取样本操作
categories = ['财经', '房产', '教育', '科技', '军事', '汽车', '体育', '游戏', '娱乐']
# 类别名对应的id
labels = {'财经': 0, '房产': 1, '教育': 2, '科技': 3, '军事': 4, '汽车': 5,
'体育': 6, '游戏': 7, '娱乐': 8}
#这两个改成sample数量-1
MAX_TRAIN_INDEX = 136
MAX_TEST_INDEX = 70
# index 0~235
# labels = ... | 53 | 26.11 | 119 | 10 | 573 | python | [] | 0 | true | |
2024-11-18T21:25:58.218976+00:00 | 1,574,402,521,000 | 6b633699873598f44418df617cbcef81da3daaa2 | 4 | {
"blob_id": "6b633699873598f44418df617cbcef81da3daaa2",
"branch_name": "refs/heads/master",
"committer_date": 1574402521000,
"content_id": "9296202d0688cb066a41dd4625a3687b817396c4",
"detected_licenses": [
"MIT"
],
"directory_id": "edb10a06f56d9bd19b0b60581728900a03d9732a",
"extension": "py",
"fi... | 4 | stackv2 | '''
Created on 2016年1月16日
@author: Darren
'''
'''
Given a singly linked list, group all odd nodes together followed by the even nodes. Please note here we are talking about the node number and not the value in the nodes.
You should try to do it in place. The program should run in O(1) space complexity and O(nodes) ti... | 66 | 24.89 | 170 | 14 | 420 | python | [] | 0 | true | |
2024-11-18T21:25:58.276616+00:00 | 1,632,320,571,000 | 542276263ba4a34b7949a0144b635f9163f8e404 | 3 | {
"blob_id": "542276263ba4a34b7949a0144b635f9163f8e404",
"branch_name": "refs/heads/master",
"committer_date": 1632320571000,
"content_id": "d6ba2e8f3da62f8a1adc1d0fb0059b8da47d44b7",
"detected_licenses": [
"Zlib"
],
"directory_id": "839a7d171613496707b807f9e5c87b52d583f4ba",
"extension": "py",
"f... | 3.0625 | stackv2 | #!/usr/bin/env python
# coding: utf-8
class response(object):
'''
Response object recognized by sessions as an item to be returned by
registered scripts to report their termination status.
'''
def __init__(self, success, status):
'''Initialize a response object.'''
se... | 38 | 27.5 | 75 | 15 | 216 | python | [] | 0 | true | |
2024-11-18T21:25:58.446209+00:00 | 1,620,877,222,000 | c7ec093a125073925ab3f33fa37ea2c446943db1 | 3 | {
"blob_id": "c7ec093a125073925ab3f33fa37ea2c446943db1",
"branch_name": "refs/heads/master",
"committer_date": 1620877222000,
"content_id": "652b9fd0a9c5580c30556407d58ae198f0be1662",
"detected_licenses": [
"MIT"
],
"directory_id": "7a3b469ba1602c73ada72fcf2b6d99372faf4a86",
"extension": "py",
"fi... | 3.390625 | stackv2 | import sys
from copy import copy
def load_num():
line = sys.stdin.readline()
if line == '' or line == '\n':
return None
return list(map(int, line.rstrip().split()))
def find_pos(lst, element):
"""Find position of element in list"""
for i in range(len(lst)):
if lst[i] == element:
... | 77 | 22.32 | 78 | 17 | 453 | python | [] | 0 | true | |
2024-11-18T21:25:59.551181+00:00 | 1,519,065,312,000 | 5a2408fe9c9c04d65d2d946d3948f93f6dcf22e3 | 4 | {
"blob_id": "5a2408fe9c9c04d65d2d946d3948f93f6dcf22e3",
"branch_name": "refs/heads/master",
"committer_date": 1519065312000,
"content_id": "298f8b3d7a8e5974dc4eca57011486e846b0b8e7",
"detected_licenses": [
"MIT"
],
"directory_id": "d87ddc8aff43908afdefff35dfc0e59eee256e63",
"extension": "py",
"fi... | 3.734375 | stackv2 | """Solution for https://www.codewars.com/kata/moving-zeros-to-the-end/"""
def move_zeros(array):
"""Return a list with all zeroes moved to the end while keeping original order
for all non-zero values."""
out = []
for n in l:
if not any([type(n) is int, type(n) is float]):
out.append... | 17 | 31.47 | 82 | 14 | 146 | python | [] | 0 | true | |
2024-11-18T21:25:59.773059+00:00 | 1,625,989,737,000 | 1977733e5fdb0cfab921daf7b9b8898aa0593f5c | 3 | {
"blob_id": "1977733e5fdb0cfab921daf7b9b8898aa0593f5c",
"branch_name": "refs/heads/main",
"committer_date": 1625989737000,
"content_id": "a8bbe49ca05ccd1415c2f4aae2c7c894d2a98018",
"detected_licenses": [
"MIT"
],
"directory_id": "79c5727d388be68de978c84ae51de7e3e661f854",
"extension": "py",
"file... | 2.6875 | stackv2 | import _thread
from tkinter import *
from tkinter.ttk import *
from tkinter import messagebox
import instaloader
class InstaBackup(Frame):
def __init__(self):
super().__init__()
self.master.title("Insta Backup")
self.pack(fill=BOTH, expand=True)
self.frame = None
self.labe... | 77 | 27.51 | 66 | 13 | 481 | python | [] | 0 | true | |
2024-11-18T21:25:59.826702+00:00 | 1,628,130,056,000 | 75394d18b33f8a4175bf5b507422e8c8f5cde730 | 4 | {
"blob_id": "75394d18b33f8a4175bf5b507422e8c8f5cde730",
"branch_name": "refs/heads/master",
"committer_date": 1628130056000,
"content_id": "67bbb0ef4271bb45c5542f8214c31cf94a2a582e",
"detected_licenses": [
"MIT"
],
"directory_id": "13ffe0def761fa5c61fbf9ee8ab02c15dc1c61eb",
"extension": "py",
"fi... | 3.5625 | stackv2 | spam_amount = 0
print(spam_amount)
# This is single line comment in Python.
# This is multi
# line comment
# in Python
if (spam_amount > 0):
print("Are you eating Spam today, nah brosky!!!")
else:
print("Show me what else do we have?")
spam_amount = spam_amount + 4
if (spam_amount > 0):
print("Are you e... | 23 | 20.22 | 61 | 9 | 135 | python | [] | 0 | true | |
2024-11-18T21:25:59.927946+00:00 | 1,681,133,924,000 | d21657c6cd046501b1387e270ccad50598e14a4b | 3 | {
"blob_id": "d21657c6cd046501b1387e270ccad50598e14a4b",
"branch_name": "refs/heads/main",
"committer_date": 1681133924000,
"content_id": "80e787c6835d4045e20ea0cabe49b35a834c21b3",
"detected_licenses": [
"MIT"
],
"directory_id": "fc661b0224285ad19719cf649ed63d2bf9e1cb16",
"extension": "py",
"file... | 2.5625 | stackv2 | from heifpy.binary import BinaryFileReader
from .basebox import FullBox
class CompositionTimeToSample(FullBox):
"""
ISO/IEC 14496-12
Box Type: ‘ctts’
Container: Sample Table Box (‘stbl’)
Mandatory: Yes
Quantity: Zero or one
"""
def __init__(self):
super().__init__()
... | 45 | 27.73 | 79 | 17 | 302 | python | [] | 0 | true | |
2024-11-18T21:26:00.045210+00:00 | 1,539,943,996,000 | cebb07c9b7b9408b559ab41e28e830c98e54c9d4 | 2 | {
"blob_id": "cebb07c9b7b9408b559ab41e28e830c98e54c9d4",
"branch_name": "refs/heads/master",
"committer_date": 1539943996000,
"content_id": "674993763a843df6b19f29d74a40384796f883ca",
"detected_licenses": [
"Apache-2.0",
"BSD-2-Clause"
],
"directory_id": "fc5001beb6e2c2c21875c11396750e9432dc5db0",... | 2.4375 | stackv2 | import datetime
import pickle
from carnivora.instabot.config import Config
class Log:
@staticmethod
def update(screenshot_path, browser, log_path, text="", image=""):
browser.save_screenshot(screenshot_path)
date = str(datetime.datetime.now())
log = []
try:
with o... | 36 | 27.69 | 77 | 18 | 229 | python | [] | 0 | true | |
2024-11-18T21:26:00.096221+00:00 | 1,563,478,483,000 | 8e5a3880cef05df71bd155f6ec4ae1c771e47d21 | 3 | {
"blob_id": "8e5a3880cef05df71bd155f6ec4ae1c771e47d21",
"branch_name": "refs/heads/master",
"committer_date": 1563539323000,
"content_id": "6598a92faa6968b07f0ab6bec755ca68e13a7001",
"detected_licenses": [
"MIT"
],
"directory_id": "79cd3e0845e0ef83a7f2e9a18685a7737f49400f",
"extension": "py",
"fi... | 2.640625 | stackv2 | import numpy as np
from hummingbird.parameters.aerosonde_parameters import MavParameters
class PlannerParameters:
# size of the waypoint array used for the path planner. This is the
# maximum number of waypoints that might be transmitted to the path
# manager.
size_waypoint_array = 100
# airspee... | 24 | 31.42 | 72 | 11 | 207 | python | [] | 0 | true | |
2024-11-18T21:26:00.213804+00:00 | 1,634,470,677,000 | d99e1c79cbdbbf29f984a9575f13952a1d9b5fd2 | 3 | {
"blob_id": "d99e1c79cbdbbf29f984a9575f13952a1d9b5fd2",
"branch_name": "refs/heads/main",
"committer_date": 1634470677000,
"content_id": "4c9b9848c94094237a5ce3856d90bf15bcaa5cc0",
"detected_licenses": [
"MIT"
],
"directory_id": "e6992db893e30ae4c10eb75a601b208e8326b272",
"extension": "py",
"file... | 2.546875 | stackv2 | import os
import telegram
from telegram.ext import Updater
from telegram.ext import CommandHandler
from tracker import get_crypto_prices
command_name = "track"
def read_token():
with open("token.txt", "r") as f:
lines = f.readlines()
return lines[0].strip()
# change to = read_token() if you want ... | 36 | 31.42 | 159 | 11 | 295 | python | [] | 0 | true | |
2024-11-18T21:26:00.315025+00:00 | 1,674,036,633,000 | a87b6432773cab3e677ce18c0314a674386b9356 | 3 | {
"blob_id": "a87b6432773cab3e677ce18c0314a674386b9356",
"branch_name": "refs/heads/master",
"committer_date": 1674036633000,
"content_id": "58f64ec579a2ff0e90606434b1b22dee5cf89274",
"detected_licenses": [
"MIT"
],
"directory_id": "33be4b8a076a83adb73ff6b267d8135dbbdd16fc",
"extension": "py",
"fi... | 3.015625 | stackv2 | #!/usr/bin/env python3
import requests
from requests.auth import HTTPDigestAuth
from getpass import getpass
user=input("Enter user:")
password = getpass()
url = 'http://httpbin.org/digest-auth/auth/user/pass'
response = requests.get(url, auth=HTTPDigestAuth(user, password))
print("Headers request : ")
for header, v... | 23 | 27.52 | 65 | 12 | 147 | python | [] | 0 | true | |
2024-11-18T21:26:00.434185+00:00 | 1,477,164,085,000 | 3a28ef9a22d119cab170c53c127d56d90a1ef8a2 | 3 | {
"blob_id": "3a28ef9a22d119cab170c53c127d56d90a1ef8a2",
"branch_name": "refs/heads/master",
"committer_date": 1477164085000,
"content_id": "de1500c2a7350cb3753732ed9ee5d649274735d5",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "31ff88a65a4772786f25abfcf114540b76a251e7",
"extension": "py"... | 3.0625 | stackv2 | #!/usr/bin/env python
import argparse
import re
import lzma
tags_re = re.compile(r'<[^<]+?>')
word_re = re.compile(r'(\w[\w\-]*\w|\w)', re.U)
def sentences_iter(filename, only_words=False):
with smart_open(filename, 'rb') as f:
sentence = []
for line in f:
try:
word, ... | 52 | 23.75 | 78 | 17 | 297 | python | [] | 0 | true | |
2024-11-18T21:26:00.543184+00:00 | 1,625,131,867,000 | f74a612cde90a7c68ca3fa5653ac4eb613382f2b | 2 | {
"blob_id": "f74a612cde90a7c68ca3fa5653ac4eb613382f2b",
"branch_name": "refs/heads/master",
"committer_date": 1625133769000,
"content_id": "67927af35554391bbe20825f54ad7aa3bc267541",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "1d6c94d29532efe429c8958358519b2f918ce614",
"extension": "py"... | 2.4375 | stackv2 | try:
from typing import Any
except ImportError:
pass
class FatalError(RuntimeError):
"""Generic unrecoverable runtime error"""
exit_code = 2
def __init__(self, *args, **kwargs): # type: (Any, Any) -> None
super(FatalError, self).__init__(*args)
exit_code = kwargs.pop('exit_code',... | 44 | 17.98 | 101 | 11 | 197 | python | [] | 0 | true | |
2024-11-18T21:26:00.602293+00:00 | 1,459,352,304,000 | d356b00b2454d3d8cc29672ee9339518a3552359 | 2 | {
"blob_id": "d356b00b2454d3d8cc29672ee9339518a3552359",
"branch_name": "refs/heads/master",
"committer_date": 1459352304000,
"content_id": "52d05d999b174afc7890c79ed4bef006875028e9",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "885b68df35a8ee5bbaa417f1cc824cd23f295da9",
"extension": "py"... | 2.453125 | stackv2 | import logging
logger = logging.getLogger(__name__)
from flyingpigeon.utils import calc_grouping, sort_by_filename, get_frequency # aggregations,
from flyingpigeon.ocgis_module import call
def aggregatTime(resource=[], variable=None, frequency=None, prefix=None, grouping='mon', calculation='mean', historical_concatin... | 53 | 38.75 | 141 | 16 | 510 | python | [] | 0 | true | |
2024-11-18T21:26:00.657770+00:00 | 1,689,814,697,000 | edb122fe09b471b78b50544198f8a4c62231524b | 3 | {
"blob_id": "edb122fe09b471b78b50544198f8a4c62231524b",
"branch_name": "refs/heads/main",
"committer_date": 1689814697000,
"content_id": "f16a31749350a791adc5394a1ac10cb20aecc9d2",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "7824a20fd120e692bbb8f9d973d5bfd8979defee",
"extension": "py"... | 2.71875 | stackv2 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""
Container class for the database of emission-line bandpass filters used
for non-parameteric measurements of emission-line flux and velocity
moments.
.. todo::
Combine this with the main emissionlinemoments.py file.
Class u... | 206 | 42.46 | 99 | 23 | 1,980 | python | [] | 0 | true | |
2024-11-18T21:26:00.714328+00:00 | 1,557,881,058,000 | fc354fe393343b0ec4063cd1a8edca5cd6e66c76 | 3 | {
"blob_id": "fc354fe393343b0ec4063cd1a8edca5cd6e66c76",
"branch_name": "refs/heads/master",
"committer_date": 1557881058000,
"content_id": "490d49c6ead3e3bd7947d83aec37d739a9a24fa9",
"detected_licenses": [
"MIT"
],
"directory_id": "9adccb3dcb7edebeddadcfc84995a3fa1d7d07f2",
"extension": "py",
"fi... | 3.046875 | stackv2 | import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from nltk import FreqDist
import nltk
import sys
"""
to install nltk stuff
python - great a pyton repl
>>> import nltk
>>> nltk.download()
"""
def sampleCount():
texts = ['hi there', 'hello there', 'hello here you are']
vectori... | 40 | 20.18 | 61 | 11 | 214 | python | [] | 0 | true | |
2024-11-18T21:26:00.949000+00:00 | 1,596,455,617,000 | f870cb13440a48c5908c8842255ae8bbfe93d045 | 3 | {
"blob_id": "f870cb13440a48c5908c8842255ae8bbfe93d045",
"branch_name": "refs/heads/master",
"committer_date": 1596455617000,
"content_id": "d0ffd968b4744def3cbe9c995e4515f6ea44cf7f",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "1cdd4001055571ee9c7bd1c8eaa941ccc23ca4c5",
"extension": "p... | 2.53125 | stackv2 | """Differentiable ILP."""
import keras.backend as K
import keras.layers as L
from keras.models import Model
import models.ima as ima
# pylint: disable=line-too-long
class RuleTemplate(L.Layer):
"""Layer that exposes trainable weights as rule templates."""
def __init__(self, goal, num_preds, pred_len, embed_size,... | 86 | 32.37 | 90 | 15 | 700 | python | [] | 0 | true | |
2024-11-18T21:26:01.065725+00:00 | 1,665,321,806,000 | ee183e2c29a94ab1797cd0527f754f8d4f6ab2c1 | 2 | {
"blob_id": "ee183e2c29a94ab1797cd0527f754f8d4f6ab2c1",
"branch_name": "refs/heads/main",
"committer_date": 1665321806000,
"content_id": "d009fcd11cdade11d541ddbfd54283f3922d8ef7",
"detected_licenses": [
"MIT"
],
"directory_id": "9c266480b1d96ac8e403d69ca809a72bbc9ed3c1",
"extension": "py",
"file... | 2.5 | stackv2 | """Implementation of Rule L030."""
from typing import List, Tuple
from sqlfluff.core.rules.crawlers import SegmentSeekerCrawler
from sqlfluff.core.rules.doc_decorators import (
document_configuration,
document_fix_compatible,
document_groups,
)
from sqlfluff.rules.L010 import Rule_L010
@document_groups
... | 58 | 21.59 | 82 | 14 | 315 | python | [] | 0 | true | |
2024-11-18T21:26:01.119593+00:00 | 1,524,078,563,000 | 794d845249cdd634e994ffabc15b614511428606 | 3 | {
"blob_id": "794d845249cdd634e994ffabc15b614511428606",
"branch_name": "refs/heads/master",
"committer_date": 1524078563000,
"content_id": "c12da300fed32be0c930b568ebed43980b4a2fd8",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "37d6d527ea943e1f93ec16f23b0129ac3dc97241",
"extension": "py"... | 3.078125 | stackv2 | #!/usr/bin/env
# -*- coding: utf-8 -*-
# Copyright (C) Victor M. Mendiola Lau - All Rights Reserved
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
# Written by Victor M. Mendiola Lau <ryuzakyl@gmail.com>, February 2017
import numpy as np
from sklearn import gr... | 51 | 32 | 105 | 12 | 386 | python | [] | 0 | true | |
2024-11-18T21:26:01.551190+00:00 | 1,540,318,903,000 | 3369839c6548cbc9fa85b575124b3acaca346592 | 3 | {
"blob_id": "3369839c6548cbc9fa85b575124b3acaca346592",
"branch_name": "refs/heads/master",
"committer_date": 1540318903000,
"content_id": "e740ac7ee4163d47e706a163983b97a5f561ca64",
"detected_licenses": [
"MIT"
],
"directory_id": "fd7e1efb666526af00a451a1d8a1d3c58b5de4c6",
"extension": "py",
"fi... | 3.046875 | stackv2 | import sqlite3
import pandas as pd
import os
class Chronometer(object):
"""
Interface with the Chronometer Database.
"""
def __init__(self, chronodb_info, db_type='sqlite3'):
"""
Args:
chronodb_info (dict): the information for the chronometer database
depend... | 66 | 35.35 | 87 | 18 | 515 | python | [] | 0 | true | |
2024-11-18T21:26:01.701649+00:00 | 1,635,035,166,000 | 6eceee70aa70ffd3aca6c346692c38bfc9874b95 | 4 | {
"blob_id": "6eceee70aa70ffd3aca6c346692c38bfc9874b95",
"branch_name": "refs/heads/master",
"committer_date": 1635035166000,
"content_id": "798df47a21770e9a76fc1e03f56b1f0b1597f11e",
"detected_licenses": [
"MIT"
],
"directory_id": "cf1bab7f1bcbd8a8295d61d0fccea4c9a1b457f5",
"extension": "py",
"fi... | 4.21875 | stackv2 | """
A robot is located at the top-left corner of a m x n grid. The robot can only move either down or right at any point
in time. The robot is trying to reach the bottom-right corner of the grid. How many possible unique paths are there?
Example 1:
Input: m = 3, n = 2, Output: 3
Explanation:
From the top-left corner,... | 47 | 36.13 | 117 | 15 | 495 | python | [] | 0 | true | |
2024-11-18T21:26:01.761820+00:00 | 1,360,613,636,000 | 509d6d9ce805f911f1df649796dce7d1df081a72 | 2 | {
"blob_id": "509d6d9ce805f911f1df649796dce7d1df081a72",
"branch_name": "refs/heads/master",
"committer_date": 1360613636000,
"content_id": "1b4d6456991a6aaa19898d5ba1d6e07bf8564ec6",
"detected_licenses": [
"BSD-2-Clause"
],
"directory_id": "c8d7f2da5ff9e13a5bb6f92b9387a336e7059644",
"extension": "p... | 2.421875 | stackv2 | import numpy as np
import ctypes
global f
lib_spline = ctypes.cdll.LoadLibrary('/home/pablo/Programmation/bigeco/dolo/dolo/numeric/interpolation/spline.so')
class MultivariateSpline:
def __init__(self, smin, smax, orders):
self.smin = smin
self.smax = smax
self.orders = orders
... | 214 | 31.83 | 138 | 21 | 2,043 | python | [] | 0 | true | |
2024-11-18T21:26:01.814844+00:00 | 1,599,531,214,000 | ee0642c422907a93a8e0ccc2fc67b5072ea62336 | 4 | {
"blob_id": "ee0642c422907a93a8e0ccc2fc67b5072ea62336",
"branch_name": "refs/heads/master",
"committer_date": 1599531214000,
"content_id": "622cd9a45c4d318d648de85d02a649ae36388139",
"detected_licenses": [
"MIT"
],
"directory_id": "907503d1cdb25531fa63b14964af06c905b1dd53",
"extension": "py",
"fi... | 3.546875 | stackv2 | # import pykit module
# import pykit as pk
from pykit import write
from pykit import multiply
""" Subtract
first = int(input("Enter first number"))
second = int(input("Enter second number"))
print("Result = ", pk.subtraction(first, second))
"""
write("This is a program to solve multiplication problem in pykit module... | 16 | 25.88 | 74 | 9 | 106 | python | [] | 0 | true | |
2024-11-18T21:26:02.120211+00:00 | 1,693,230,751,000 | 4b93ac8fb46a00e8db726e188719b781fe75050f | 3 | {
"blob_id": "4b93ac8fb46a00e8db726e188719b781fe75050f",
"branch_name": "refs/heads/master",
"committer_date": 1693230751000,
"content_id": "5735961a9c1baeb4a44e7899952a24dc08c16fc9",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "52a677b94056d3397b4a499bc9185adb68a63f05",
"extension": "py"... | 2.984375 | stackv2 | import itertools
import uuid
# TODO(kleesc): There are probably better key derivation functions, but that would require existing ones to be rotated.
# Reference: https://cryptography.io/en/latest/hazmat/primitives/key-derivation-functions.html
def convert_secret_key(config_secret_key):
"""
Conve... | 33 | 31.61 | 119 | 15 | 243 | python | [] | 0 | true | |
2024-11-18T21:26:02.515382+00:00 | 1,673,066,907,000 | c1c5c194abbc57421d99f48b0969e20fe77ed068 | 3 | {
"blob_id": "c1c5c194abbc57421d99f48b0969e20fe77ed068",
"branch_name": "refs/heads/main",
"committer_date": 1673066907000,
"content_id": "a16a70b203c479f2204facb789955deb67e886e9",
"detected_licenses": [
"MIT"
],
"directory_id": "7506f51d763d48401d068918a47748abe061a8dd",
"extension": "py",
"file... | 2.703125 | stackv2 | import requests
import csv
r = csv.reader(open('stoplist.csv'))
# w = csv.writer(open('output.csv','w'))
w = csv.writer(open('stopsoutput.csv','w'))
headers = r.next()
headers.append('coordinates')
headers.append('lat')
headers.append('long')
w.writerow(headers)
counter = 1
for line in r:
addr = line[0].replace(' '... | 41 | 26.83 | 157 | 14 | 311 | python | [] | 0 | true | |
2024-11-18T21:26:02.678615+00:00 | 1,452,672,690,000 | f4912bdbc024c79724e8a8b8d146b98f640e1377 | 3 | {
"blob_id": "f4912bdbc024c79724e8a8b8d146b98f640e1377",
"branch_name": "refs/heads/master",
"committer_date": 1452672690000,
"content_id": "5888475a0450d73994f3c98432ba6ffccacfb086",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "b282e41b4f2b45865d66e18dd068e7d1f0674959",
"extension": "p... | 2.71875 | stackv2 | """
Object key handler, stores key's model name.
"""
from django.conf import settings
from django.db.models.loading import get_model
class ObjectKeyHandler(object):
"""
The model maintains a table of key->model.
"""
def __init__(self):
"""
Initialize handler
"""
self.c... | 72 | 19.72 | 75 | 16 | 301 | python | [] | 0 | true | |
2024-11-18T21:26:02.814568+00:00 | 1,586,536,233,000 | 822f7df338763db3349922c06f5788f74e1bb750 | 3 | {
"blob_id": "822f7df338763db3349922c06f5788f74e1bb750",
"branch_name": "refs/heads/master",
"committer_date": 1586536233000,
"content_id": "9735ab6bfed6a3ba94178d29544416e85c90bdaa",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "1ad419e7512e842ffb55c4e13d654cce920b5328",
"extension": "py"... | 2.546875 | stackv2 | import argparse
import opentrons.simulate
import opentrons.protocol_api.labware
import json
import urllib
def is_labware(maybe_labware):
return isinstance(maybe_labware, opentrons.protocol_api.labware.Labware)
parser = argparse.ArgumentParser(description="Simulate an Opentrons Python Protocol API script and print... | 35 | 46.83 | 157 | 13 | 436 | python | [] | 0 | true | |
2024-11-18T21:26:02.870105+00:00 | 1,536,837,014,000 | 5e9b97fd50272f8d3edb6af4d844627dacc8d9b6 | 3 | {
"blob_id": "5e9b97fd50272f8d3edb6af4d844627dacc8d9b6",
"branch_name": "refs/heads/master",
"committer_date": 1536837014000,
"content_id": "c28fb73736fcff53ab5395b5410b9f3daa93e7ad",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "2d91fa8375583ce83a44cb23dca31184f2375667",
"extension": "py"... | 3.171875 | stackv2 | """
Command to expose pyocnos functionality
"""
from __future__ import print_function
import argparse
import io
import textwrap
import yaml
from pyocnos.ocnos import OCNOS
def process(config_file_path, hostname, actions, save_config_file_path, candidate_file_path):
"""
Initialize device and call the actions... | 131 | 31.67 | 118 | 19 | 872 | python | [] | 0 | true | |
2024-11-18T21:26:03.140754+00:00 | 1,290,103,463,000 | bb613c2e2fee3c311736cfe81ac9c37260b855de | 4 | {
"blob_id": "bb613c2e2fee3c311736cfe81ac9c37260b855de",
"branch_name": "refs/heads/master",
"committer_date": 1290103463000,
"content_id": "2e0b1abd5a55dd56dd8108cab66434e673cf93f0",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "7d482b00cc827e160386b089800d2e3d189bd44d",
"extension": "p... | 3.5 | stackv2 | # -*- coding: utf-8 -*-
"""
pyClanSphere.utils.datastructures
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Various data structures.
:copyright: (c) 2009 - 2010 by the pyClanSphere Team,
see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from itertools import izip, ... | 291 | 27.45 | 81 | 17 | 2,090 | python | [] | 0 | true | |
2024-11-18T21:26:03.196138+00:00 | 1,688,783,067,000 | 87acd2c8e66c5495d56a847c252b5ee8a0db48e3 | 2 | {
"blob_id": "87acd2c8e66c5495d56a847c252b5ee8a0db48e3",
"branch_name": "refs/heads/master",
"committer_date": 1688783067000,
"content_id": "f2578a3bd18297e9e0acf57bc7ed3684370278ef",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "5ce2f600372a589f9b9cf989c99a8175060636ce",
"extension": "py"... | 2.359375 | stackv2 | #cloud_function(platforms=[Platform.AWS], memory=512, config=config)
def yourFunction(request, context):
import json
import logging
from Inspector import Inspector
import time
# Import the module and collect data
inspector = Inspector()
inspector.inspectAll()
# Add custom message ... | 19 | 30 | 80 | 15 | 126 | python | [] | 0 | true | |
2024-11-18T21:26:03.425265+00:00 | 1,589,529,434,000 | e938680f81bc33302e756315f338e8b16990ad33 | 2 | {
"blob_id": "e938680f81bc33302e756315f338e8b16990ad33",
"branch_name": "refs/heads/master",
"committer_date": 1589529434000,
"content_id": "b26d8f43afc9bb76e98aa5e7318659dbaaddeea9",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "0e6a67f1794c3a599c88647f5cb293fc5b49f6a0",
"extension": "py"... | 2.421875 | stackv2 | # coding: utf-8
"""
Open:FactSet Marketplace API
Headless CMS API used by the Open:FactSet Marketplace. # noqa: E501
OpenAPI spec version: v2.1.5
Contact: openfactset-frontend-engineering@factset.com
"""
import pprint
import re # noqa: F401
import six
class GetProductDtoPreviewLink(object... | 138 | 26.09 | 87 | 23 | 899 | python | [] | 0 | true | |
2024-11-18T21:26:03.550877+00:00 | 1,633,683,033,000 | 381eb7290260725f30d7074bb9097f10c88d5d98 | 2 | {
"blob_id": "381eb7290260725f30d7074bb9097f10c88d5d98",
"branch_name": "refs/heads/master",
"committer_date": 1633683033000,
"content_id": "4bc59d30f5882d3cb749be8c9e573565010b7f7c",
"detected_licenses": [
"MIT"
],
"directory_id": "cd6536b37675af4c9fcde5aced107719fe26ac57",
"extension": "py",
"fi... | 2.34375 | stackv2 | from enum import Enum
class ERichCurveInterpMode(Enum):
RCIM_Linear = 0
RCIM_Constant = 1
RCIM_Cubic = 2
RCIM_None = 3
class ERichCurveTangentMode(Enum):
RCTM_Auto = 0
RCTM_User = 1
RCTM_Break = 2
RCTM_None = 3
class ERichCurveTangentWeightMode(Enum):
RCTWM_WeightedNone = 0
RC... | 31 | 27.87 | 73 | 12 | 290 | python | [] | 0 | true | |
2024-11-18T21:26:03.599262+00:00 | 1,613,592,378,000 | 354d835a8ca05b54610687fa276dfea543d1a2c6 | 3 | {
"blob_id": "354d835a8ca05b54610687fa276dfea543d1a2c6",
"branch_name": "refs/heads/master",
"committer_date": 1613592378000,
"content_id": "571854765c99b65a47f967882ffd06e5af43f576",
"detected_licenses": [
"MIT"
],
"directory_id": "f232ebdd808252952845561a69aa4213d97b328f",
"extension": "py",
"fi... | 2.53125 | stackv2 | import json
import requests
from src.constants import *
class RocketMessageFactory:
def __build_text_message(self):
return {
"token": self.visitor["visitor"]["token"],
"rid": self.room["_id"],
"msg": self.message["body"],
}
def __build_media_message(self):
... | 34 | 31.5 | 99 | 13 | 242 | python | [] | 0 | true | |
2024-11-18T21:26:03.706857+00:00 | 1,496,440,760,000 | 5fedb1cbdeca3ae8507d50e55bf4ada6fa5032e1 | 2 | {
"blob_id": "5fedb1cbdeca3ae8507d50e55bf4ada6fa5032e1",
"branch_name": "refs/heads/master",
"committer_date": 1496440760000,
"content_id": "785fd23a5cfd5af3e9a7a6d4df5059ef901ee456",
"detected_licenses": [
"MIT"
],
"directory_id": "4b9acef2d860f6b36e1097c095892fa7d69d9d8e",
"extension": "py",
"fi... | 2.484375 | stackv2 | #!/usr/bin/python
# multiPY.py
# Example cat seqs.fa | multiPY.py -c wc -p 3
# By Simon H. Rasmussen
# Bioinformatics Centre
# University of Copenhagen
# Implementation of multiprocess batch processing
import os
import sys
import threading
def multiPY(in_file,command, lines_in_record, procs,batchSize=1000... | 95 | 34.61 | 126 | 18 | 873 | python | [] | 0 | true | |
2024-11-18T21:26:04.003858+00:00 | 1,576,189,475,000 | 365183146bde2d0a106c7349f391243bcbe19bb9 | 3 | {
"blob_id": "365183146bde2d0a106c7349f391243bcbe19bb9",
"branch_name": "refs/heads/master",
"committer_date": 1576189475000,
"content_id": "19caead7b89dbaf0e3ebe9e43666038402d64377",
"detected_licenses": [
"MIT"
],
"directory_id": "6f3364fbd4069a33ca610370e4fd270edfc99f83",
"extension": "py",
"fi... | 2.65625 | stackv2 | import logging
import product
logging.basicConfig(level=logging.WARNING)
logger = logging.getLogger(__name__)
class IncompleteProduct(object):
# TODO : Change main_product to no_monitors_product
def __init__(self, automata, snb_messages):
self._automata = automata
self._non_monitors = [auto... | 117 | 48.16 | 91 | 21 | 1,026 | python | [] | 0 | true | |
2024-11-18T21:26:04.108413+00:00 | 1,612,113,531,000 | c19a4d73e42640cdca6aa430be881b41b388848f | 3 | {
"blob_id": "c19a4d73e42640cdca6aa430be881b41b388848f",
"branch_name": "refs/heads/main",
"committer_date": 1612113531000,
"content_id": "4cc30364e204348bf26e72c00104ce7b4542d145",
"detected_licenses": [
"MIT"
],
"directory_id": "470a630ae964ef898f43b7809a5db89dac7751a3",
"extension": "py",
"file... | 3.15625 | stackv2 | from fractions import Fraction as frac
###############################################################
# Programinizi yazmaya bu yorumun altindan baslayiniz. #
# Fonksiyon isimlerini ve parametre sayisini degistirmeyiniz. #
# Ust satiri kesinlikle silmeyiniz #
######################... | 79 | 33.37 | 135 | 8 | 855 | python | [] | 0 | true | |
2024-11-18T21:26:04.331755+00:00 | 1,432,799,776,000 | a1c0497f343adea9d612c565454234a6b4acee86 | 3 | {
"blob_id": "a1c0497f343adea9d612c565454234a6b4acee86",
"branch_name": "refs/heads/master",
"committer_date": 1432799776000,
"content_id": "b784cb2c587bb2a243c267e03b66d8d155f82e0f",
"detected_licenses": [
"MIT"
],
"directory_id": "39f35ffad52e1d553996d77381be7e20a6a5c196",
"extension": "py",
"fi... | 2.515625 | stackv2 | import xml.etree.ElementTree as ET
import os
datadir = 'D:/Steam/steamapps/common/Galactic Civilizations III/data'
trees = {}
def english(key, sources):
for source in sources:
if source not in trees:
sourcePath = os.path.join(datadir, 'English', 'Text', source)
if not os.path.isfi... | 17 | 35.24 | 86 | 15 | 150 | python | [] | 0 | true | |
2024-11-18T21:26:04.851161+00:00 | 1,573,005,447,000 | 7b873ce119d9a25b77a29720267f21a13f1a5b46 | 3 | {
"blob_id": "7b873ce119d9a25b77a29720267f21a13f1a5b46",
"branch_name": "refs/heads/master",
"committer_date": 1573005447000,
"content_id": "4c0786756d21c3565ee32fa6708906282319cf84",
"detected_licenses": [
"MIT"
],
"directory_id": "6a20b2dd262880aeb20678297f1df7addab23d84",
"extension": "py",
"fi... | 3 | stackv2 | class Server:
name="Name"
ip="127.0.0.1"
hddSize=100
def TurnOn(self, newIp):
self.ip = newIp
print("New ip: ", self.ip)
print("Avaliable space: ", self.hddSize)
def TurnOff(self):
ip = "127.0.0.1"
def Calculations(self):
if self.ip != "127.0.0.1":
... | 50 | 20.2 | 60 | 15 | 310 | python | [] | 0 | true | |
2024-11-18T21:26:04.904771+00:00 | 1,499,957,355,000 | 6047657e5fe0c5bc14a5a59085d3c2685605e601 | 3 | {
"blob_id": "6047657e5fe0c5bc14a5a59085d3c2685605e601",
"branch_name": "refs/heads/master",
"committer_date": 1499957355000,
"content_id": "799e04198da72d28d19e8ce1cbfca1b14c6f4ce5",
"detected_licenses": [
"MIT"
],
"directory_id": "1a4c77c0ef0448cd3c12c27e2f509f4af29733d0",
"extension": "py",
"fi... | 2.71875 | stackv2 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 13 14:30:03 2017
@author: Paul
"""
import sys
sys.path.append('C:\Users\Paul\Documents\These\codes\git\sem-proc')
import numpy as np
from scipy.optimize import curve_fit
from scipy.signal import argrelextrema
from Savitzjy_goulay import savitzky_golay
from skimage import ... | 70 | 35.27 | 96 | 23 | 803 | python | [] | 0 | true | |
2024-11-18T21:26:05.064492+00:00 | 1,603,608,583,000 | 21593ff864c5decbad18b88796505d8465e00721 | 4 | {
"blob_id": "21593ff864c5decbad18b88796505d8465e00721",
"branch_name": "refs/heads/master",
"committer_date": 1603608583000,
"content_id": "75d60d759c69bac0f3839721590d6ebfce0a589f",
"detected_licenses": [
"MIT"
],
"directory_id": "3de6f7f6d8497e728101c368ec778e67f769bd6c",
"extension": "py",
"fi... | 3.875 | stackv2 | class LinkedList:
def __init__(self):
self.head = None
self.tail = None
self.size = 0
def insert_at_head(self, val):
new_node = ListNode(val, next=self.head)
if self.is_empty():
self.tail = new_node
else:
self.head.prev = new_node
... | 139 | 23.67 | 71 | 13 | 806 | python | [] | 0 | true | |
2024-11-18T21:26:05.120401+00:00 | 1,571,753,752,000 | bd19307d0c357fcab3631cfdcef0cceea7668a22 | 3 | {
"blob_id": "bd19307d0c357fcab3631cfdcef0cceea7668a22",
"branch_name": "refs/heads/master",
"committer_date": 1571753752000,
"content_id": "f32c4fb53727dbfce15988b2a4464157ddf5e970",
"detected_licenses": [
"MIT"
],
"directory_id": "0d966c8dd7ea5929ef7a5ccc0bf7c4d427d53a93",
"extension": "py",
"fi... | 3.25 | stackv2 | import hashlib
class EncryptUtil(object):
@staticmethod
def md5(s):
"""
md5
:param s: string
:return: 32 characters (128bits=16bytes)
"""
return hashlib.md5(s.encode()).hexdigest()
@staticmethod
def sha1(s):
"""
sha1
:param s: st... | 45 | 20.36 | 53 | 14 | 265 | python | [] | 0 | true | |
2024-11-18T21:26:05.228473+00:00 | 1,692,120,343,000 | 3681457a6a94625205fcfdbc16ff91fc17dc600a | 3 | {
"blob_id": "3681457a6a94625205fcfdbc16ff91fc17dc600a",
"branch_name": "refs/heads/master",
"committer_date": 1692120343000,
"content_id": "4145216dca8f832596c7d6d1b6206b3f5333b124",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "d4a31f44cdf0eb8f1f56916d7e1e5fccc2aaf050",
"extension": "py"... | 2.6875 | stackv2 | """
Note: the files in this directory have been copied from eccodes-python and
retain their original notice.
Classes for handling BUFR with a high level interface.
``BufrFiles`` can be treated mostly as regular files and used as context
managers, as can ``BufrMessages``. Each of these classes destructs itself and
any... | 116 | 31.23 | 85 | 14 | 929 | python | [] | 0 | true | |
2024-11-18T21:26:05.551711+00:00 | 1,558,628,442,000 | 17e01ef177f2dd7dc81ebc00af738fee02114d76 | 3 | {
"blob_id": "17e01ef177f2dd7dc81ebc00af738fee02114d76",
"branch_name": "refs/heads/master",
"committer_date": 1558628442000,
"content_id": "00e196910ec91af60c5afa7ee41e4db095d4349c",
"detected_licenses": [
"MIT"
],
"directory_id": "b9b9d19d293b3fa3bfd2d3c0162584786cd8ac9a",
"extension": "py",
"fi... | 2.75 | stackv2 | import torch
import torch.nn as nn
class Transformer(nn.Module):
def __init__(self, embed_dim, hidden_dim, num_embeddings, num_max_positions, num_heads, num_layers, dropout):
""" Transformer (GPT-2 architecture) """
super().__init__()
self.tokens_embeddings = nn.Embedding(num_embeddings, em... | 79 | 47.01 | 118 | 17 | 820 | python | [] | 0 | true | |
2024-11-18T21:26:05.669023+00:00 | 1,523,690,133,000 | f80b6b46ab7166bccb4cec1e2bbeca55282f8a9c | 3 | {
"blob_id": "f80b6b46ab7166bccb4cec1e2bbeca55282f8a9c",
"branch_name": "refs/heads/master",
"committer_date": 1523690133000,
"content_id": "a4a0ae6485f8877aee0ada484889de39f29c6746",
"detected_licenses": [
"MIT"
],
"directory_id": "46e694ae829cf0d7bc298f663b12e71511f08f61",
"extension": "py",
"fi... | 2.96875 | stackv2 | import json
def load_vistas(filename):
vistas = []
with open(filename, 'r') as f:
vista_data = json.load(f)
for vista in vista_data['vistas']:
vistas.append(Vista(**vista))
return vistas
class Vista:
def __init__(self, entry=0, name="", location="", map_location="", weat... | 59 | 30.73 | 133 | 17 | 454 | python | [] | 0 | true | |
2024-11-18T21:26:05.725850+00:00 | 1,632,477,250,000 | d6829d4d79b8fd0e06a4ab584129cc167804a3f2 | 2 | {
"blob_id": "d6829d4d79b8fd0e06a4ab584129cc167804a3f2",
"branch_name": "refs/heads/main",
"committer_date": 1632477250000,
"content_id": "c55c7be732f5297bc3156461f52d427af41ca3d0",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "e8103947b7fe84c4b6b4bf82b16c71c81430dc0e",
"extension": "py",
... | 2.328125 | stackv2 | # Copyright 2019-2021 Cambridge Quantum Computing
#
# 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 a... | 98 | 41.07 | 98 | 15 | 994 | python | [] | 0 | true | |
2024-11-18T21:26:05.845815+00:00 | 1,570,971,035,000 | 5932ae7410d96f31204c0f0513e5214e64400777 | 3 | {
"blob_id": "5932ae7410d96f31204c0f0513e5214e64400777",
"branch_name": "refs/heads/master",
"committer_date": 1570971035000,
"content_id": "857b299ef26866b2ffb14f89f7cf0a02b07d4605",
"detected_licenses": [
"MIT"
],
"directory_id": "82ec442bd158be156c1eabde1d3ceb48c29d5efc",
"extension": "py",
"fi... | 2.9375 | stackv2 | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
class LogInDialog(QDialog):
def __init__(self):
super().__init__()
self.setupUI()
self.id = None
self.password = None
def setupUI(self):
self.setGeometry(1100, 200, 300, 100)
self.setWindowTitle... | 71 | 26.18 | 66 | 12 | 452 | python | [] | 0 | true | |
2024-11-18T21:26:06.373797+00:00 | 1,581,966,936,000 | 39a44c1e099ef697768ade1a9badd200564d00c6 | 3 | {
"blob_id": "39a44c1e099ef697768ade1a9badd200564d00c6",
"branch_name": "refs/heads/master",
"committer_date": 1581966936000,
"content_id": "7a2a936d6488ff993f947b3853027d5c0a96116a",
"detected_licenses": [
"MIT"
],
"directory_id": "1155a5165de77713a3f57c43d2edebf4f699e1b3",
"extension": "py",
"fi... | 2.84375 | stackv2 | import os
from pybud import json_helper
from pybud.printout_builders import *
from pybud.utils import *
class ConsoleLogger:
def __init__(self, file_path):
self.file_path = file_path
def print_log(self):
# parse json log file into dict
log: dict = json_helper.json_file_to_dict(self.f... | 103 | 46.52 | 131 | 22 | 1,028 | python | [] | 0 | true | |
2024-11-18T21:26:06.437910+00:00 | 1,542,965,698,000 | 5351a02fe858c42d1f0660597f191a14f018cd88 | 2 | {
"blob_id": "5351a02fe858c42d1f0660597f191a14f018cd88",
"branch_name": "refs/heads/master",
"committer_date": 1542965698000,
"content_id": "80e3a517a5abc1625d636bf0e097547885514c0d",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "9874a9db8f2458d461dfb8207bd699ede25af47c",
"extension": "py"... | 2.359375 | stackv2 | # Copyright (c) Trainline Limited, 2017. All rights reserved. See LICENSE.txt in the project root for license information.
import time
from envmgr import Upstream, Service
from emcli.commands.base import BaseCommand
class ToggleCommand(BaseCommand):
def __init__(self, options, *args, **kwargs):
super(To... | 48 | 38.67 | 127 | 17 | 421 | python | [] | 0 | true | |
2024-11-18T21:26:06.537326+00:00 | 1,643,925,749,000 | 4f91da7607e2d3b3296325b158d0a827c01cc913 | 3 | {
"blob_id": "4f91da7607e2d3b3296325b158d0a827c01cc913",
"branch_name": "refs/heads/master",
"committer_date": 1643925749000,
"content_id": "f10d613d9085d1a5db053510b9487fc1f1598539",
"detected_licenses": [
"MIT"
],
"directory_id": "baf3ad75a68b210db946d1719130c6e78c0d0fb6",
"extension": "py",
"fi... | 2.71875 | stackv2 | """Train a simple neural network (and calibrate post-hoc) while monitoring log-loss and calibration error."""
if __name__ == "__main__":
import numpy as np
import matplotlib.pyplot as plt
import json
import os
from sklearn.datasets import fetch_openml
from sklearn import model_selection as ms... | 126 | 41.83 | 115 | 13 | 1,402 | python | [] | 0 | true | |
2024-11-18T21:26:06.645828+00:00 | 1,577,019,166,000 | c66b3fec635b82ea90c26b868a02c902dcb253ff | 3 | {
"blob_id": "c66b3fec635b82ea90c26b868a02c902dcb253ff",
"branch_name": "refs/heads/master",
"committer_date": 1577019166000,
"content_id": "d9d0bbb996a90398e9f4fe99f6012ce7ce255337",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "d61a6df81bca12df0b743053643bc386d15a4b56",
"extension": "py"... | 3.421875 | stackv2 | '''
@Date: 2019-08-26 20:10:58
@Author: ywyz
@LastModifiedBy: ywyz
@Github: https://github.com/ywyz
@LastEditors: ywyz
@LastEditTime: 2019-08-26 20:11:34
'''
number = eval(input("Enter a decimal value (0 to 15): "))
if number >= 0 and number <= 9:
print("The hex value is ", number)
elif number > 9 and number <= 15... | 16 | 25.12 | 62 | 16 | 170 | python | [] | 0 | true | |
2024-11-18T21:26:06.830975+00:00 | 1,607,287,113,000 | be8b132c15e41e3fd3f564e36d5df0f5737e834b | 3 | {
"blob_id": "be8b132c15e41e3fd3f564e36d5df0f5737e834b",
"branch_name": "refs/heads/main",
"committer_date": 1607287113000,
"content_id": "72a40cff0d79a0e8008a95b1049190f682fd11a5",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "4dc00a3f8e755c4a1b8b2c1d05bc191ac3238941",
"extension": "py"... | 3.25 | stackv2 | #!/usr/bin/env python3
# Example of a service in ROS 2
#
# service.py
#
# Bill Smart
#
# This is an example of a simple service client in ROS 2.
# Pull in the stuff we need from rclpy.
import rclpy
from rclpy.node import Node
# Types for the service call. We only need the base type, which corresponds to the
# Dou... | 63 | 27.9 | 84 | 12 | 467 | python | [] | 0 | true | |
2024-11-18T21:26:07.160590+00:00 | 1,605,870,250,000 | f1baa2d8d60949300fcff87453a32b7f0f52113e | 3 | {
"blob_id": "f1baa2d8d60949300fcff87453a32b7f0f52113e",
"branch_name": "refs/heads/master",
"committer_date": 1605870250000,
"content_id": "f4b2f6971e677e254947680ea01d259540f9296c",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "a73501828caa6f69bcdaf95a55ed3d75382589b6",
"extension": "py"... | 2.671875 | stackv2 | from BHsearchBeta import *
import re
class CandidateCharlie(Candidate): # 黑洞候选体，对应一个成语，getinfo用到具体网站
def __str__(self):
return Candidate.__str__(self) + " " + str(self.pinyin)
def getinfo(self): # 获取黑洞信息
try:
soup = BeautifulSoup(urlopen(self.link), "html.parser")
raw... | 94 | 34.82 | 91 | 17 | 910 | python | [] | 0 | true | |
2024-11-18T21:26:07.482080+00:00 | 1,691,603,612,000 | ad0170f31a8a783f2f20f242c642602bd0364808 | 3 | {
"blob_id": "ad0170f31a8a783f2f20f242c642602bd0364808",
"branch_name": "refs/heads/main",
"committer_date": 1691603612000,
"content_id": "d1e5d5f6a9b96843c512aeab16c5429cfd0e39e0",
"detected_licenses": [
"BSD-2-Clause"
],
"directory_id": "471867d23165069d1b6c4b9fdb43007eb9bf78d2",
"extension": "py"... | 2.8125 | stackv2 | import time
import txaio
from os import environ
from ocs import ocs_agent, site_config
from ocs.ocs_twisted import TimeoutLock
class BarebonesAgent:
"""Barebone Agent demonstrating writing an Agent from scratch.
This Agent is meant to be an example for Agent development, and provides a
clean starting p... | 196 | 31.34 | 88 | 21 | 1,321 | python | [] | 0 | true | |
2024-11-18T21:26:07.900680+00:00 | 1,629,600,492,000 | 6768786aac52b4faf36af2410ac62428e16b82e8 | 3 | {
"blob_id": "6768786aac52b4faf36af2410ac62428e16b82e8",
"branch_name": "refs/heads/main",
"committer_date": 1629600492000,
"content_id": "7b6758eecc84e8daa447d1222f4e53c3d8e26b28",
"detected_licenses": [
"MIT"
],
"directory_id": "0c09a2680b25263b7d3eac2e5c2a09e3265cae35",
"extension": "py",
"file... | 3.0625 | stackv2 | import requests
ENDPOINT = "https://jsonmock.hackerrank.com/api/football_matches"
def getNumDraws(year):
draws = 0
for goal in range(0,11):
params = {
'year': year,
'team1goals': goal,
'team2goals': goal,
'page': 2
}
response = requests.get... | 16 | 26.5 | 67 | 13 | 118 | python | [] | 0 | true | |
2024-11-18T21:26:08.467114+00:00 | 1,604,504,995,000 | 9efeb6d22694401157c6997e28e5f04240183e9a | 2 | {
"blob_id": "9efeb6d22694401157c6997e28e5f04240183e9a",
"branch_name": "refs/heads/master",
"committer_date": 1604504995000,
"content_id": "be54d9d09cd7ac5aea99c83da56f35ee59a65fe7",
"detected_licenses": [
"MIT"
],
"directory_id": "3ac2258f874cf0d3dd3995507f1a92d4ff985cdd",
"extension": "py",
"fi... | 2.46875 | stackv2 | import rospy
import numpy as np
from ...types.detection import Detection
from ..assignment.linear_assignment import LinearAssignment
from ...utils.bbox_metrics import overlap
import cv2
from .monitor import Monitor
MAX_DEPTH = 10.0
MIN_EYE_PATCH_WIDTH = 5
MIN_EYE_PATCH_HEIGHT = 3
EYE_INPUT_WIDTH = 60
EYE_INPUT_HEIGHT... | 153 | 39.92 | 115 | 21 | 1,349 | python | [] | 0 | true | |
2024-11-18T21:26:08.523738+00:00 | 1,602,221,603,000 | acdd89a61024cc323f22f7fa65da9711fd618f22 | 3 | {
"blob_id": "acdd89a61024cc323f22f7fa65da9711fd618f22",
"branch_name": "refs/heads/master",
"committer_date": 1602221603000,
"content_id": "37576b4109d51a803108d0312d9578d4456095cb",
"detected_licenses": [
"MIT"
],
"directory_id": "81407be1385564308db7193634a2bb050b4f822e",
"extension": "py",
"fi... | 3.078125 | stackv2 | # 实现pandas DataFrame 和spark dataFrame 相互转换
import pandas as pd
from pyspark.sql import SparkSession
spark = SparkSession \
.builder \
.appName("dataFrame") \
.getOrCreate()
# Loads data.
ll3 = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'])
cc = ll3.values.tolist()
dd = list(ll3.columns)
# df=spark.... | 27 | 20.67 | 56 | 9 | 160 | python | [] | 0 | true | |
2024-11-18T21:26:08.706509+00:00 | 1,590,629,240,000 | 0bfd6441f4c8dc36d319897f2df6fd0b534d8eef | 3 | {
"blob_id": "0bfd6441f4c8dc36d319897f2df6fd0b534d8eef",
"branch_name": "refs/heads/master",
"committer_date": 1590629240000,
"content_id": "a004e5b0b6c4f27fa0fbadbc3a8a3c4322cad115",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "e754fd34d40b41cd56adc947309832574094e0b6",
"extension": "p... | 2.75 | stackv2 | from __future__ import division
import timeit
def run_test(img_size, cell_size, block_size):
N = 10
setup = """
import numpy as np
import amitgroup as ag
import matplotlib.pylab as plt
import os.path
np.random.seed(0)
im = np.random.random({0})
""".format(img_size)
dt = timeit.Timer("ag.features.hog... | 27 | 27.22 | 124 | 14 | 249 | python | [] | 0 | true | |
2024-11-18T21:26:08.764243+00:00 | 1,577,793,083,000 | 65815ffeed356859be867f33806d08f3f3a0a50b | 4 | {
"blob_id": "65815ffeed356859be867f33806d08f3f3a0a50b",
"branch_name": "refs/heads/master",
"committer_date": 1577793083000,
"content_id": "9a3a3f434165f3317928c418dd8c4396d6a8e66d",
"detected_licenses": [
"MIT"
],
"directory_id": "5138b1a27a7514b75d87a7742e47c604dc74b894",
"extension": "py",
"fi... | 3.53125 | stackv2 | from abc import ABC, abstractmethod
from random import randint
from time import sleep
from typing import NamedTuple, Union
from christmas.support import reset_terminal
_RANDOM: int = randint(1, 30)
def tree_length(from_: int, to_: int = _RANDOM) -> int:
return randint(from_, to_)
def format_tree(character: Un... | 74 | 22.84 | 79 | 15 | 453 | python | [] | 0 | true | |
2024-11-18T21:26:08.828258+00:00 | 1,619,999,927,000 | 9789928a60bd0b038a520a049ffe24b63dbcf668 | 3 | {
"blob_id": "9789928a60bd0b038a520a049ffe24b63dbcf668",
"branch_name": "refs/heads/master",
"committer_date": 1619999927000,
"content_id": "7041dc05a51b6366481e9951f2b67e571b2cfdc0",
"detected_licenses": [
"MIT"
],
"directory_id": "f6dcbb9058ca4f4b3846a2bccf14adac6a780d18",
"extension": "py",
"fi... | 2.765625 | stackv2 | from selenium import webdriver
import time
from capture import Capture
from control import Control
def correction(error, rate, negative_correction, positive_correction):
rate_limit = error / 40
print('Error:', error, 'Rate:', rate, 'Limit:', rate_limit)
if error <= -0.5:
# Correct negatively (p... | 181 | 27.88 | 138 | 13 | 1,260 | python | [] | 0 | true | |
2024-11-18T21:26:09.942539+00:00 | 1,300,228,670,000 | 3519e20d082ad2dd183ca148650dd5fa1c08b86d | 3 | {
"blob_id": "3519e20d082ad2dd183ca148650dd5fa1c08b86d",
"branch_name": "refs/heads/master",
"committer_date": 1300228670000,
"content_id": "85d5c450dec863b16657a09a7a8b10d136419479",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "97295be5622977ca74cb180d5624d8d439766ad4",
"extension": "py"... | 2.5625 | stackv2 | from collections import defaultdict
def queryset_to_dict(qs, key='pk', singular=True):
"""
Given a queryset will transform it into a dictionary based on ``key``.
"""
if singular:
result = {}
for u in qs:
result.setdefault(getattr(u, key), u)
else:
result = defaul... | 100 | 32.03 | 155 | 20 | 741 | python | [] | 0 | true | |
2024-11-18T21:26:10.340599+00:00 | 1,467,690,434,000 | 330ea12b8b7557d456c94c2bfade9fe6ce685e5e | 4 | {
"blob_id": "330ea12b8b7557d456c94c2bfade9fe6ce685e5e",
"branch_name": "refs/heads/master",
"committer_date": 1467690434000,
"content_id": "815a5718365fe8781aaf0f4134438fc7e5406cd0",
"detected_licenses": [
"BSD-2-Clause"
],
"directory_id": "d57eeb1cf5e25ba02fb70c0f66b04f7282ace7c3",
"extension": "p... | 3.703125 | stackv2 | #!/user/bin/python3
#^.^ coding=utf-8 ^.^#
# ASCII
# Unicode
# UTF-8
#ASCII is a subset of Unicode
print("'A' ASCII Code:", ord('A'))
print("34678 Unicode Char:", chr(34678))
# In Python3, if want to transmit string in network, need to transform string to bytes.
str_type = "abc"
bytes = b'abc'
print("str type:",... | 22 | 21.82 | 87 | 12 | 150 | python | [] | 0 | true | |
2024-11-18T21:26:10.807977+00:00 | 1,671,301,296,000 | 0bb537619622bd265266dfb2d3842ae5d19da7da | 3 | {
"blob_id": "0bb537619622bd265266dfb2d3842ae5d19da7da",
"branch_name": "refs/heads/master",
"committer_date": 1671301296000,
"content_id": "d452740a98733c4621852cf36f8ea35634c13ecb",
"detected_licenses": [
"MIT"
],
"directory_id": "36dbfa7b8866f0c5981a2b915e70d745f5d13826",
"extension": "py",
"fi... | 2.765625 | stackv2 | """font_loader module
This modules enables (and automatically performs) loading
of TTF fonts.
By default, it loads some Microsoft fonts using load_standard_windows_fonts()
and a few open-source fonts in load_standard_open_source_fonts().
However, you can add your fonts using load_ttf_font().
"""
import logging
impo... | 318 | 29.37 | 88 | 18 | 2,323 | python | [] | 0 | true | |
2024-11-18T21:26:11.077270+00:00 | 1,625,183,334,000 | 5eab7f266cd3935b077286deb45eee556c7c3dd2 | 2 | {
"blob_id": "5eab7f266cd3935b077286deb45eee556c7c3dd2",
"branch_name": "refs/heads/main",
"committer_date": 1625183334000,
"content_id": "2477a754cfb9b888fd478ce9f9cda7dd26cb49bc",
"detected_licenses": [
"MIT"
],
"directory_id": "3e37643141d524511da4b7850b5bc77ad3584b90",
"extension": "py",
"file... | 2.3125 | stackv2 | import discord
async def quick_embed(ctx, reply=True, send=True, **kwargs):
title = kwargs.get("title", "")
description = kwargs.get("description", "")
timestamp = kwargs.get("timestamp")
color = kwargs.get("color", discord.Color.random())
thumbnail = kwargs.get("thumbnail")
author = kwar... | 61 | 25.26 | 85 | 16 | 370 | python | [] | 0 | true | |
2024-11-18T21:26:11.190622+00:00 | 1,646,573,001,000 | f3cb6613d48f44c578c94d0ad0ffa770b212afbe | 3 | {
"blob_id": "f3cb6613d48f44c578c94d0ad0ffa770b212afbe",
"branch_name": "refs/heads/master",
"committer_date": 1646573001000,
"content_id": "a8830061e3019cf817dcfc6e2329a16ce6e5eb5d",
"detected_licenses": [
"MIT"
],
"directory_id": "c5bdac83ee38266bbf049a7fc1dd2756217df941",
"extension": "py",
"fi... | 2.84375 | stackv2 | """
Extract library writer module.
Write out Twitter data to a CSV.
There are multiple functions here write out a CSV to a required location,
based on the data required to be written. The path is variable and the
filename part is expected to be descriptive of the method of fetching
from the API.
Rows are appended so... | 181 | 34.43 | 118 | 13 | 1,399 | python | [] | 0 | true | |
2024-11-18T21:26:11.319218+00:00 | 1,598,041,397,000 | b34bfb95b2c75aa81f44532d739cb8e58cb95d2a | 3 | {
"blob_id": "b34bfb95b2c75aa81f44532d739cb8e58cb95d2a",
"branch_name": "refs/heads/master",
"committer_date": 1598041397000,
"content_id": "d14e52e9951f764a9e0e06e85d23a9f2f227d457",
"detected_licenses": [
"ISC"
],
"directory_id": "709f42f256de783a45e721b04241149935e780d4",
"extension": "py",
"fi... | 2.96875 | stackv2 | """Tools for saving and loading trajectories without requiring the `imitation`
or `tensorflow` packages to be installed."""
import gzip
from pickle import Unpickler
from typing import List, NamedTuple, Optional
import gym
import numpy as np
from magical.benchmarks import DEFAULT_PREPROC_ENTRY_POINT_WRAPPERS
class M... | 150 | 37.81 | 79 | 15 | 1,341 | python | [] | 0 | true | |
2024-11-18T21:26:12.374261+00:00 | 1,610,062,567,000 | a81659546fd0c11b5f3d55c4086561bae8f6ff21 | 3 | {
"blob_id": "a81659546fd0c11b5f3d55c4086561bae8f6ff21",
"branch_name": "refs/heads/main",
"committer_date": 1610062567000,
"content_id": "99bd1d8bd28496612320dfa03218d43e79f410a2",
"detected_licenses": [
"MIT"
],
"directory_id": "599b60f9a8d0ce6dc177a230522ea65ca155c5ef",
"extension": "py",
"file... | 2.6875 | stackv2 | import sys
from pathlib import Path
import pandas as pd
from ..utils import csv_file_to_df, csv_string_to_df, df_to_flatten_d_list, extraction_df, get_api_response, \
output_csv_from_df, stats_res_formatter, validation_stats_url
class StatsIds:
"""統計表ID一覧を扱うクラス"""
def __init__(
self,
... | 178 | 28.2 | 110 | 14 | 1,433 | python | [] | 0 | true | |
2024-11-18T21:26:12.444796+00:00 | 1,631,550,124,000 | 273e3f54a3dc6ca2bbf25919d49ff11e63273004 | 3 | {
"blob_id": "273e3f54a3dc6ca2bbf25919d49ff11e63273004",
"branch_name": "refs/heads/master",
"committer_date": 1631550124000,
"content_id": "defeb5c8c9b8371c702a50696f9fe4267f13457e",
"detected_licenses": [
"MIT"
],
"directory_id": "57b746d46c77c8b084d0ec32a3bd7cfa4ea5fa47",
"extension": "py",
"fi... | 2.625 | stackv2 | from PIL import Image
import os
def resizeImages(browserName):
try:
path = 'build/reports/geb/'+browserName
for filename in os.listdir(path):
if filename.endswith('.png'):
im = Image.open(path+"/"+filename)
size =im.size # get the size of the input image
ratio = 0.4 # reduced... | 36 | 29.47 | 65 | 18 | 273 | python | [] | 0 | true | |
2024-11-18T21:26:12.559998+00:00 | 1,513,449,367,000 | 8b8edc495b9f3dcdff214f93752d10d84e916ce4 | 2 | {
"blob_id": "8b8edc495b9f3dcdff214f93752d10d84e916ce4",
"branch_name": "refs/heads/master",
"committer_date": 1513449367000,
"content_id": "344f1ec52a7a4ba3cadd53feebbc2334448b66e4",
"detected_licenses": [
"MIT"
],
"directory_id": "34d25cecda26dac7c068472e142a2e62b8000670",
"extension": "py",
"fi... | 2.34375 | stackv2 | #!/usr/bin/env python
import pika, json, boto3
sqs = boto3.client('sqs')
queue_url = 'https://sqs.eu-west-1.amazonaws.com/340053764926/temp-and-humidity.fifo'
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='temp_and_h... | 34 | 27.65 | 85 | 10 | 228 | python | [] | 0 | true | |
2024-11-18T21:26:12.849323+00:00 | 1,333,313,340,000 | 75020a47dcee95bff4d5b6a519ae0b33eecb6337 | 3 | {
"blob_id": "75020a47dcee95bff4d5b6a519ae0b33eecb6337",
"branch_name": "refs/heads/master",
"committer_date": 1333313340000,
"content_id": "00e50d4f1853e44a9246549148bbf54c51d7e187",
"detected_licenses": [
"MIT",
"BSD-2-Clause"
],
"directory_id": "a8352c16dd25bb11e6d2cb49e862ca1a5bfc22cf",
"ext... | 3.171875 | stackv2 | """ Parses array messages as returned by GAE Channel service"""
import re
class ParseError(StandardError):
pass
_dquote_search = re.compile('(?<!\\\)"')
_squote_search = re.compile('(?<!\\\)\'')
_number_matcher = re.compile('(-?\d+)\.?(\d+)?')
_digit_strings = [str(i) for i in range(10)] + ['-']
_searchers = {'"... | 97 | 29.22 | 73 | 17 | 683 | python | [] | 0 | true | |
2024-11-18T21:26:13.054294+00:00 | 1,621,083,008,000 | c4d515f684a735a5ae0fbe246ceb8942a4048eda | 2 | {
"blob_id": "c4d515f684a735a5ae0fbe246ceb8942a4048eda",
"branch_name": "refs/heads/main",
"committer_date": 1621083008000,
"content_id": "d55594855ec2680585bed4589144d03246e887af",
"detected_licenses": [
"MIT"
],
"directory_id": "f546cbd3a087d74e7c50bbb9900ae86543cbdd2d",
"extension": "py",
"file... | 2.3125 | stackv2 | import os
import logging
import shelve
import discord
from discord.ext import commands
from dotenv import load_dotenv
from notgambling.smallgames import SimpleGames
class SemidbmShelf(shelve.Shelf):
"""Shelf implementation using the "semidbm" dbm interface.
This is initialized with the filename for the dbm ... | 95 | 27.21 | 97 | 19 | 652 | python | [] | 0 | true | |
2024-11-18T21:26:13.167500+00:00 | 1,323,162,652,000 | 75c8829e7bd8336d294e6655c97cc71d00352c83 | 3 | {
"blob_id": "75c8829e7bd8336d294e6655c97cc71d00352c83",
"branch_name": "refs/heads/master",
"committer_date": 1323162652000,
"content_id": "798cc59e7c6bbf073828b085f01f04123a409368",
"detected_licenses": [
"MIT",
"BSD-2-Clause"
],
"directory_id": "39401f27cb1e35969886ae86b6579b49b406146a",
"ext... | 2.8125 | stackv2 | import re
import itertools
from cStringIO import StringIO
from node import Node
TAGNAME_REGEX = re.compile("[a-zA-Z_][a-zA-Z0-9_]*")
ARGUMENT_REGEX = re.compile("\s+([a-zA-Z_][a-zA-Z0-9_]*)=([^\s\"]+|\"(?:\\\\\"|[^\"])*\")")
HEREDOC_REGEX = re.compile("\s+->\s*$")
def add_lookahead(iterable):
a, b = itertools.t... | 101 | 26.82 | 112 | 17 | 669 | python | [] | 0 | true | |
2024-11-18T21:26:13.453991+00:00 | 1,609,962,278,000 | 0c75092dca15c77e3a127c0b4c2351359cd131f5 | 4 | {
"blob_id": "0c75092dca15c77e3a127c0b4c2351359cd131f5",
"branch_name": "refs/heads/master",
"committer_date": 1609962278000,
"content_id": "5850932c4a6d8d836ae8af3c8eb9b20f26cf748a",
"detected_licenses": [
"MIT"
],
"directory_id": "2e13f4af4f00a9de41883e6e50f220ba161278cc",
"extension": "py",
"fi... | 3.625 | stackv2 | lista = list()
dados = list()
maior = menor = nM = menorN = cad = 0
while True:
dados.append(str(input('Nome: ')))
dados.append(int(input('Peso: ')))
lista.append(dados[:])
dados.clear()
cad +=1
r = input('Deseja continuar? [S/N]: ')
if r in 'nN':
break
for p in lista:
if p == 0:... | 28 | 23.86 | 46 | 12 | 223 | python | [] | 0 | true | |
2024-11-18T21:26:13.621384+00:00 | 1,466,605,876,000 | 159177df5a56be3480b525e75e9d2c61c7f77b86 | 3 | {
"blob_id": "159177df5a56be3480b525e75e9d2c61c7f77b86",
"branch_name": "refs/heads/master",
"committer_date": 1466605876000,
"content_id": "e545079a81d3e3e602f44f1dcb86f53689c69723",
"detected_licenses": [
"MIT"
],
"directory_id": "b1ba299c6e08304aee8a9b27f462cafecbd28999",
"extension": "py",
"fi... | 3.125 | stackv2 | from string import ascii_letters, digits
def forTwitter(string):
TWITTER_ALLOWED_CHARS = frozenset(ascii_letters + digits + '-._~')
if type(string) is not str:
string = str(string)
encoded = ''
for char in string:
if char in TWITTER_ALLOWED_CHARS:
enco... | 16 | 35.38 | 76 | 26 | 126 | python | [] | 0 | true | |
2024-11-18T21:26:13.832362+00:00 | 1,587,675,760,000 | 03979653576ff54bd2fecbaf01f7cc9e80712a80 | 4 | {
"blob_id": "03979653576ff54bd2fecbaf01f7cc9e80712a80",
"branch_name": "refs/heads/master",
"committer_date": 1587675760000,
"content_id": "47896ddcc1e2aeaf643d5fbbec622d2437a2e2d0",
"detected_licenses": [
"MIT"
],
"directory_id": "82bdcbda521ea3bb072cba87a5372637720b3b85",
"extension": "py",
"fi... | 3.671875 | stackv2 | from Player import Player
from Hand import Hand
from Deck import Deck
from Pot import Pot
from random import choice, randint
'''
Function used by both classes. Return the object of the next player to bid.
'''
def get_next_player(prev_player, players):
prev_player_index = players.index(prev_player)
next_playe... | 268 | 32.74 | 114 | 18 | 2,008 | python | [] | 0 | true | |
2024-11-18T21:26:13.987330+00:00 | 1,516,176,325,000 | 558e3cc47afc582472b793d929f8174d7c70942f | 2 | {
"blob_id": "558e3cc47afc582472b793d929f8174d7c70942f",
"branch_name": "refs/heads/master",
"committer_date": 1516176325000,
"content_id": "4202c198b5f6b3fce1b6dee56c97f2bc0fbd9c45",
"detected_licenses": [
"MIT"
],
"directory_id": "41378817356d30dcef65b4132996729266c79c51",
"extension": "py",
"fi... | 2.34375 | stackv2 | #!/usr/bin/python3
from subprocess import Popen, PIPE;
from os import environ
from os.path import dirname
def popen_proc(cmd):
p = Popen(cmd, stdout=PIPE, stderr=PIPE);
return p.communicate(), p
def popen_shell(cmd):
print("-" * 20, "INTERACTIVE", "-"*20)
p = Popen(cmd)
return (0, 0), p
def a... | 51 | 24.18 | 82 | 14 | 356 | python | [] | 0 | true | |
2024-11-18T21:26:14.114735+00:00 | 1,535,656,317,000 | 2bd63e751784093dd38acffcb80466510f90ab84 | 3 | {
"blob_id": "2bd63e751784093dd38acffcb80466510f90ab84",
"branch_name": "refs/heads/master",
"committer_date": 1535656317000,
"content_id": "49cbf659f29d0f591aa918fb7af4d26bf3486b08",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "397dbd34277f873a3d3fb1af4a206272699ba178",
"extension": "p... | 2.59375 | stackv2 | from ipywidgets import ValueWidget, Widget
from ipywidgets import CallbackDispatcher
from ipywidgets import FloatSlider
class Filter(object):
def __init__(self, func=None, disabled=False):
self._disabled = disabled
self._func = func
self._dispatcher = CallbackDispatcher()
def __call__(... | 91 | 24.41 | 78 | 16 | 548 | python | [] | 0 | true | |
2024-11-18T21:26:14.184375+00:00 | 1,464,469,720,000 | f1d15058b590d16c2f0639a6733bb23548e4cb17 | 3 | {
"blob_id": "f1d15058b590d16c2f0639a6733bb23548e4cb17",
"branch_name": "refs/heads/master",
"committer_date": 1464469720000,
"content_id": "d93e36f9656e2925280b414c2d28ff4ff2e7463d",
"detected_licenses": [
"BSD-2-Clause"
],
"directory_id": "e76ae4b4ba556c4b5e95a8070673ebf24f8fac59",
"extension": "p... | 2.5625 | stackv2 |
import audiogen
import audiogen.util
import itertools
import contextlib
HERTZ = 770
BANDWIDTH = 200
DEFAULT_WPM = 20
#
# todo: support parsing of prosigns
#
# ARRL Morse Transmission Timing Standard
# http://www.arrl.org/files/file/Technology/x9004008.pdf
# WPM determined by P-A-R-I-S, or 50 dit lengths (with spa... | 221 | 24.1 | 85 | 15 | 1,858 | python | [] | 0 | true | |
2024-11-18T21:26:14.303528+00:00 | 1,633,373,470,000 | 43b238699e7eae3ff9c872a97e384041efb20547 | 2 | {
"blob_id": "43b238699e7eae3ff9c872a97e384041efb20547",
"branch_name": "refs/heads/master",
"committer_date": 1633373470000,
"content_id": "accfb956a2385f06badc6d315356d8a74d7b51fb",
"detected_licenses": [
"MIT"
],
"directory_id": "5fd6675b9f1679d3061b6d6e0b755d56618a59e6",
"extension": "py",
"fi... | 2.390625 | stackv2 | import redis
import json
import threading
from truck_delivery_atge.shared_core import configuration
from truck_delivery_atge.db_connector import DBConnector
def _get_redis():
try:
host = configuration.config_from_var('host')
port = int(configuration.config_from_var('port'))
return redis.R... | 74 | 28.81 | 69 | 13 | 468 | python | [] | 0 | true | |
2024-11-18T21:26:14.565968+00:00 | 1,413,808,087,000 | 4907edb50b59b56af2c962e3d4ce6c3f18a62032 | 2 | {
"blob_id": "4907edb50b59b56af2c962e3d4ce6c3f18a62032",
"branch_name": "refs/heads/master",
"committer_date": 1413808087000,
"content_id": "d9479fae52c55bb60b126908ce385c82c74dc32f",
"detected_licenses": [
"MIT"
],
"directory_id": "74b7c1cabc01b329e03487d8e1f4b279547e611b",
"extension": "py",
"fi... | 2.328125 | stackv2 | from Tkinter import *
import ttk
import os
import serial
import time
import MySQLdb as mdb
from time import sleep
from compiler.pycodegen import EXCEPT
def check():
global shutdown
shutdown = connection(1)
global restart
restart = connection(2)
global logout
logout = connection(3)
global lock
lock = connecti... | 179 | 17.28 | 75 | 12 | 950 | python | [] | 0 | true | |
2024-11-18T21:26:14.668751+00:00 | 1,611,343,065,000 | 3e8b02750af0903e62693d7bee1db9cb24162afd | 3 | {
"blob_id": "3e8b02750af0903e62693d7bee1db9cb24162afd",
"branch_name": "refs/heads/master",
"committer_date": 1611343065000,
"content_id": "82dcb10730c45dd0bfae60627427dcb5307833e1",
"detected_licenses": [
"MIT"
],
"directory_id": "00121c1666a4c943807995b461e21edc140d5d35",
"extension": "py",
"fi... | 3.046875 | stackv2 | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the equalizeArray function below.
def equalizeArray(a):
dis=[]
f=[]
used=[]
for i in range(len(a)):
if a[i] not in used:
c=a.count(a[i])
f.append(c)
used.append(a[i])
m=ma... | 33 | 16.67 | 50 | 16 | 156 | python | [] | 0 | true | |
2024-11-18T21:26:14.727616+00:00 | 1,423,400,389,000 | d0cdde2fa935a022b3017a3a1912adfa12f4ccd5 | 4 | {
"blob_id": "d0cdde2fa935a022b3017a3a1912adfa12f4ccd5",
"branch_name": "refs/heads/master",
"committer_date": 1423400389000,
"content_id": "dec38796637a7160ad29fe4df2e0abc75f34f95e",
"detected_licenses": [
"MIT"
],
"directory_id": "24ef9a2a44858c55d614e25ffa4f686991530992",
"extension": "py",
"fi... | 3.609375 | stackv2 | """Find the minimum fixed monthly payment needed in order pay off a credit card balance within 12 months"""
__author__ = 'Nicola Moretto'
__license__ = "MIT"
def annualPayment(balance, annualInterestRate):
'''
Return the minimum fixed monthly payment needed in order pay off a credit card balance within 12 mon... | 29 | 36.38 | 107 | 13 | 243 | python | [] | 0 | true | |
2024-11-18T21:26:14.960383+00:00 | 1,461,452,224,000 | 09f8a895423e43be104e92d946058dfeb6d79863 | 3 | {
"blob_id": "09f8a895423e43be104e92d946058dfeb6d79863",
"branch_name": "refs/heads/master",
"committer_date": 1461452224000,
"content_id": "5b93926011e29c2f5ec638de3b5643a09240e7b9",
"detected_licenses": [
"MIT"
],
"directory_id": "755c2045ad46a8e6ab19bd6bb9fb350023a5688c",
"extension": "py",
"fi... | 3.40625 | stackv2 | import re
class TemplateError(Exception): pass
class TemplateEmpty(TemplateError): pass
class TemplateNotFound(TemplateError): pass
class Templait:
""" A template class for rendering template files.
To use, initialize Templait() with the filename of the template and a
dictionary of replacement t... | 69 | 29.83 | 86 | 15 | 487 | python | [] | 0 | true | |
2024-11-18T21:26:15.021397+00:00 | 1,636,569,976,000 | 34fd649c52e82bc57ca5a1d81ad8db25b8bc9ebf | 2 | {
"blob_id": "34fd649c52e82bc57ca5a1d81ad8db25b8bc9ebf",
"branch_name": "refs/heads/main",
"committer_date": 1636569976000,
"content_id": "e83067efd4b2445e97fd3b1507ad247988d7c466",
"detected_licenses": [
"MIT"
],
"directory_id": "81d532e23d2278e6f72a7c4eaaf46c72b7cdbcb3",
"extension": "py",
"file... | 2.3125 | stackv2 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# %% Libraries
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import os
import datetime
#impots for tensorboard, windows
import matplotlib.pyplot as plt
import p... | 177 | 27.71 | 122 | 13 | 1,262 | python | [] | 0 | true | |
2024-11-18T21:26:15.073643+00:00 | 1,614,021,704,000 | 9b3d18f82cf990077a6a56e8bcf3bf804a45a739 | 4 | {
"blob_id": "9b3d18f82cf990077a6a56e8bcf3bf804a45a739",
"branch_name": "refs/heads/main",
"committer_date": 1614021704000,
"content_id": "ec00b9ee7558b3db121815fc23d31e1068618174",
"detected_licenses": [
"MIT"
],
"directory_id": "c1542a474b0df42ac0fef4de5f25808f12c8cf91",
"extension": "py",
"file... | 4.46875 | stackv2 | """
write a function that capitalizes the first and fourth letters of a name
ex:
capitalize("macdonald") --> MacDonald
"""
# solution 1
def capitalize(name):
first_letter = name[0]
in_between = name[1:3]
fourth_letter = name[3]
rest = name[4:]
return first_letter + in_between + fourth_letter + res... | 35 | 18.09 | 72 | 8 | 163 | python | [] | 0 | true | |
2024-11-18T21:26:15.138503+00:00 | 1,627,285,446,000 | e63eacdfdbe97eee1d08e4f68dda147835a50007 | 2 | {
"blob_id": "e63eacdfdbe97eee1d08e4f68dda147835a50007",
"branch_name": "refs/heads/master",
"committer_date": 1627285446000,
"content_id": "cdbe59edf005c0f039fb9559c4b0d9ade0c6c427",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "bd82cb4d8ad0c35e4f5bf904004f3ec2090fcadd",
"extension": "py"... | 2.421875 | stackv2 | from trec_car.read_data import *
import argparse
from tqdm import tqdm
#
# config
#
parser = argparse.ArgumentParser()
parser.add_argument('--in-file', action='store', dest='in_file',
help='trec car paragraph collection file', required=True)
parser.add_argument('--out-file', action='store', dest=... | 25 | 26.16 | 95 | 17 | 164 | python | [] | 0 | true | |
2024-11-18T21:26:15.278563+00:00 | 1,514,421,526,000 | 192025409ab81f47396926648a719ba321e82517 | 3 | {
"blob_id": "192025409ab81f47396926648a719ba321e82517",
"branch_name": "refs/heads/master",
"committer_date": 1514421526000,
"content_id": "fff8420784e734bf0bf80e057247a56810ad7663",
"detected_licenses": [
"MIT"
],
"directory_id": "48bdb063c97edcba31470512e0ecdd5700e4cd2e",
"extension": "py",
"fi... | 2.734375 | stackv2 | import aiohttp
import json
from .fetcher import Fetcher
class BlockChainInfoAPI(Fetcher):
_URL = 'https://blockchain.info/ru/address/{}?format=json'
async def get_btc_balance(self, loop, address, symbol='BTC', callback=None):
if address is None:
raise ValueError("address must be specifi... | 21 | 34.29 | 80 | 14 | 164 | python | [] | 0 | true | |
2024-11-18T21:26:15.340396+00:00 | 1,541,542,144,000 | 1ba253ca992f2ee78b3b22ff9b261e606adf2c02 | 3 | {
"blob_id": "1ba253ca992f2ee78b3b22ff9b261e606adf2c02",
"branch_name": "refs/heads/master",
"committer_date": 1541542144000,
"content_id": "4edfef2537c5dd2223ee09cbceaffb697267a0ad",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "df7eeb4f1498bc47bb85ab5f8f44e5bec6734b58",
"extension": "py"... | 2.859375 | stackv2 | # -*- coding: utf-8 -*-
"""
wrapper for the OXO api
(reverse engineered! argh!)
"""
import logging
import time
import requests
from requests import HTTPError
__all__ = [
'OxoClient'
]
OXO = 'https://www.ebi.ac.uk/spot/oxo/api'
MAXSIZE = 500
logger = logging.getLogger(__name__)
class OxoClient:
''' OX... | 129 | 26.59 | 109 | 20 | 877 | python | [] | 0 | true | |
2024-11-18T21:26:15.565203+00:00 | 1,595,587,651,000 | 249538ce57457e5262c1b7b56e9df606dbd9863e | 3 | {
"blob_id": "249538ce57457e5262c1b7b56e9df606dbd9863e",
"branch_name": "refs/heads/master",
"committer_date": 1595587651000,
"content_id": "6b253dc71822ade681d9550de2714d66139139b1",
"detected_licenses": [
"MIT"
],
"directory_id": "7c7b5ab5614c9ec72d527a854e643eaa7a4437f4",
"extension": "py",
"fi... | 3.171875 | stackv2 | # -*- coding: utf-8 -*-
"""
Classes for defining new chemical relationships
"""
import copy
from itertools import product
from .entity import Entity
from .utils import KnuthMorrisPratt
class Relation(object):
"""Relation class
Essentially a placeholder for related of entities
"""
def __init__(self, ... | 58 | 25.47 | 91 | 14 | 315 | python | [] | 0 | true | |
2024-11-18T21:26:15.813213+00:00 | 1,460,215,909,000 | 7a37b6e175412d742b52e36098a5482c7215e81d | 2 | {
"blob_id": "7a37b6e175412d742b52e36098a5482c7215e81d",
"branch_name": "refs/heads/master",
"committer_date": 1460215909000,
"content_id": "2cb37d005a4ba69c33683490b9c362f082ab687e",
"detected_licenses": [
"MIT"
],
"directory_id": "229f505b252fec747f89c687497995d8946114df",
"extension": "py",
"fi... | 2.40625 | stackv2 | import os
from flask import Flask,render_template, request, jsonify
from tweetdump import *
from sentAnalysis import *
import json
app = Flask(__name__)
@app.route('/')
def hello():
# data = get_all_tweets('#Bahrain')
# # tweets = sentimentAnalysis(data)
# str = ''
# for i in data:
# str += i[2]+'\n'
data = tr... | 59 | 28.78 | 88 | 19 | 454 | python | [{"finding_id": "codeql_py/flask-debug_5a496bc76a2e5406_9aaf5e9b", "tool_name": "codeql", "rule_id": "py/flask-debug", "finding_type": "problem", "severity": "medium", "confidence": "high", "message": "A Flask app appears to be run in debug mode. This may allow an attacker to run arbitrary code through the debugger.", ... | 1 | true | |
2024-11-18T21:26:15.936127+00:00 | 1,558,041,818,000 | a50dd76eef14a7b8ec190d53472023c12e56f374 | 4 | {
"blob_id": "a50dd76eef14a7b8ec190d53472023c12e56f374",
"branch_name": "refs/heads/master",
"committer_date": 1558041818000,
"content_id": "9c37903921d37c7c0526d65c5f9b18eee67d4379",
"detected_licenses": [
"MIT"
],
"directory_id": "e56f15197a666450912c82aafa6c1a0f890e607a",
"extension": "py",
"fi... | 4.28125 | stackv2 | #!python
"""
Bases.py contains function for converting and working with bases.
Decode: takes in number and converts to base 10
Encode: takes in number in base 10 and converts to another base
Convert: converts number from 1 base to another base
"""
import string
import math
# Hint: Use these string constants to encod... | 92 | 35.21 | 84 | 14 | 890 | python | [] | 0 | true | |
2024-11-18T21:26:16.213573+00:00 | 1,558,184,537,000 | 459df39438aedc478d31859d58501e11bd5f0823 | 2 | {
"blob_id": "459df39438aedc478d31859d58501e11bd5f0823",
"branch_name": "refs/heads/master",
"committer_date": 1558184537000,
"content_id": "92219e567a0f04880f66c557695ae7886eaf46ea",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "d7d278809f024071b5f6d3083d7c249c7c05c509",
"extension": "py"... | 2.359375 | stackv2 | import os
import tensorflow as tf
import logging
log = logging.getLogger('semantic_segmentation')
def train_init(config, params, scope='init'):
# different situations for initialization:
# 1) initialize from init_ckpt_path (log_dir has to be empty from checkpoints)
# 2) continue training from log_dir
... | 75 | 52.6 | 159 | 24 | 811 | python | [] | 0 | true | |
2024-11-18T21:26:16.482947+00:00 | 1,621,737,801,000 | 7272f0581a82b320c4ec9ea923dfe9d039e4f19c | 3 | {
"blob_id": "7272f0581a82b320c4ec9ea923dfe9d039e4f19c",
"branch_name": "refs/heads/master",
"committer_date": 1621737801000,
"content_id": "d424825fecbde94fc34620a079f8f86fc82b6171",
"detected_licenses": [
"MIT"
],
"directory_id": "18a6b272d4c55b24d9c179ae1e58959674e53afe",
"extension": "py",
"fi... | 2.703125 | stackv2 | import numpy as np
import tensorflow as tf
import torch
from torch import nn as nn
def swish(x):
return x * torch.sigmoid(x)
def truncated_normal(size, std):
# We use TF to implement initialization function for neural network weight because:
# 1. Pytorch doesn't support truncated normal
# 2. This sp... | 37 | 28.22 | 107 | 14 | 251 | python | [] | 0 | true | |
2024-11-18T21:26:16.529346+00:00 | 1,436,320,580,000 | cbd3d9cea5bb89c75c8bf9e97bfb60bec4355e44 | 2 | {
"blob_id": "cbd3d9cea5bb89c75c8bf9e97bfb60bec4355e44",
"branch_name": "refs/heads/master",
"committer_date": 1436320580000,
"content_id": "2f6f714db87d83bea2c8ba117f390a004706bb52",
"detected_licenses": [
"MIT"
],
"directory_id": "5988466205296b0ccd7b185e4b1ec1db6f959312",
"extension": "py",
"fi... | 2.484375 | stackv2 | ########################################################################################
## This file is a part of YAP package of scripts. https://github.com/shpakoo/YAP
## Distributed under the MIT license: http://www.opensource.org/licenses/mit-license.php
## Copyright (c) 2011-2013 Sebastian Szpakowski
#############... | 161 | 34.29 | 123 | 20 | 1,273 | python | [] | 0 | true | |
2024-11-18T21:26:16.631886+00:00 | 1,371,522,074,000 | 785b7174e43ed0fb7204281dd0140a1a6e18f416 | 3 | {
"blob_id": "785b7174e43ed0fb7204281dd0140a1a6e18f416",
"branch_name": "refs/heads/master",
"committer_date": 1371522074000,
"content_id": "27266f4b9bc41d608e57f7f7301a9e234c43bae7",
"detected_licenses": [
"MIT"
],
"directory_id": "ff3e40517fc3098284fdab608cf1c9d1af1cbe92",
"extension": "py",
"fi... | 2.703125 | stackv2 | import struct
import socket
import json
import select
class LawnConnection:
def __init__(self, hostname):
self.hostname = hostname
self.isWaitingOnReply = False
def sendPacket(self, packet):
print "sending packet"
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.... | 36 | 28 | 61 | 13 | 245 | python | [] | 0 | true | |
2024-11-18T21:26:16.704671+00:00 | 1,595,880,077,000 | d1f12108e905fb1ebe72d1520ef6fa4be3c7c29c | 2 | {
"blob_id": "d1f12108e905fb1ebe72d1520ef6fa4be3c7c29c",
"branch_name": "refs/heads/master",
"committer_date": 1595880077000,
"content_id": "57ab1c59f4655660be32266b8e3185f40ca57ca4",
"detected_licenses": [
"MIT"
],
"directory_id": "68cdae1bfc8443204ede1b292a876a21168f2d20",
"extension": "py",
"fi... | 2.421875 | stackv2 | """
A custom Agent class for a Mesa simulation.
"""
from mesa import Agent, Model
from .make_python_identifier import make_python_identifier as mpi
from collections import Iterable, namedtuple
from dataclasses import dataclass, field
from typing import Any, List, Dict, Callable
import copy
import dill
import json
# --... | 374 | 41.81 | 119 | 22 | 3,544 | python | [] | 0 | true | |
2024-11-18T21:26:16.749645+00:00 | 1,428,146,792,000 | 5de0ea7f90bdb8a7b5621b7ea6e2888f8edbb184 | 2 | {
"blob_id": "5de0ea7f90bdb8a7b5621b7ea6e2888f8edbb184",
"branch_name": "refs/heads/master",
"committer_date": 1428146792000,
"content_id": "1f2d374a27964753d905e8732dad67ac4cc34d00",
"detected_licenses": [
"MIT"
],
"directory_id": "c13b6251c3b0ab25d8ffd0def1f83202e91aa3d5",
"extension": "py",
"fi... | 2.421875 | stackv2 | #!/usr/bin/env python2.7
"""A web server that barbarically bridges IRC to HTTP to allow chat via
computercraft"""
__author__ = "Original by Trevor Merrifield, modified by Koaps"
import sys
import time
import json
import argparse
import threading
import cyclone.web
import cyclone.escape
from twisted.python import log... | 149 | 27.58 | 78 | 13 | 982 | python | [] | 0 | true | |
2024-11-18T21:26:16.813286+00:00 | 1,632,438,276,000 | f3cea4943295f1ad1a906565dcb6a1ad27116253 | 3 | {
"blob_id": "f3cea4943295f1ad1a906565dcb6a1ad27116253",
"branch_name": "refs/heads/main",
"committer_date": 1632438276000,
"content_id": "9640c2dd0785cc2f279009703c81356b7a7741ac",
"detected_licenses": [
"MIT"
],
"directory_id": "f629c8304bb95b1f1d15ae4d6687641bc97a4b1b",
"extension": "py",
"file... | 2.71875 | stackv2 | from flask import Flask, render_template
app = Flask(__name__)
@app.route("/editor")
def editor():
page = {'lines': [
{'raw_data': 'deinde proni ſumus ad iudicandum. Hæc tria Chriſtuus po',
'words': [
{"data-type": "word", # <word | punctuation | unreadable>
"data": "deind... | 56 | 29.16 | 79 | 19 | 437 | python | [] | 0 | true | |
2024-11-18T21:51:43.031970+00:00 | 1,668,775,898,000 | 799e70e923d36d0d64741a6c2fa579893c95b73d | 3 | {
"blob_id": "799e70e923d36d0d64741a6c2fa579893c95b73d",
"branch_name": "refs/heads/master",
"committer_date": 1668775898000,
"content_id": "77dfd26d5e16690538d6bf6de6a133da3793f258",
"detected_licenses": [
"MIT"
],
"directory_id": "a8aa48ba417d9d6e8569ead55f2f4b2f146b2427",
"extension": "py",
"fi... | 3.125 | stackv2 | from rulu import *
# Data model definition for "X is the father of Y"
class IsFatherOf(Fact):
father = StringField()
son = StringField()
# Rule #1: if X is the father of Y, and Y is the father of Z,
# then X is the grandfather of Z.
# Implicitly defines the data model for IsGrandfatherOf.
IsGrandfath... | 27 | 35.89 | 77 | 13 | 271 | python | [] | 0 | true |
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