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 5.34 | source stringclasses 1
value | text stringlengths 259 23.5k | num_lines int64 16 648 | avg_line_length float64 15 60.9 | 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 276k | sast_codeql_findings_count int64 0 33 | sast_codeql_success bool 1
class | sast_codeql_error stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-11-18T18:05:43.388874+00:00 | 1,567,036,262,000 | 912041d1cee909d29a9b46991268ac30470556ff | 3 | {
"blob_id": "912041d1cee909d29a9b46991268ac30470556ff",
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"BSD-3-Clause"
],
"directory_id": "ca5fc43049f94a794d90a561fd8126f02b603599",
"extension": "p... | 2.5625 | stackv2 | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2016-2017 by I3py Authors, see AUTHORS for more details.
#
# Distributed under the terms of the BSD license.
#
# The full license is in the file LICENCE, distributed with this software.
# ----------------... | 90 | 28.24 | 79 | 16 | 535 | python | [] | 0 | true | |
2024-11-18T18:05:43.651051+00:00 | 1,515,988,614,000 | 3c76f351fc6cfd2597b6e8471e52ac18606ae091 | 2 | {
"blob_id": "3c76f351fc6cfd2597b6e8471e52ac18606ae091",
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"MIT"
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"directory_id": "ef5bec8d5d6875b3124b87ab799141377b969ffe",
"extension": "py",
"fi... | 2.328125 | stackv2 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
class Item(models.Model):
'''
An item for loan
'''
item_type = models.CharField(max_length=30, blank=False)
location = models.CharField(max_length=30, blank=Fals... | 34 | 39.44 | 102 | 10 | 300 | python | [] | 0 | true | |
2024-11-18T18:05:43.726888+00:00 | 1,610,109,030,000 | ee5c70ca3ae2e11037aba30e5e217e520133016b | 3 | {
"blob_id": "ee5c70ca3ae2e11037aba30e5e217e520133016b",
"branch_name": "refs/heads/master",
"committer_date": 1610109030000,
"content_id": "c7214a1d9e46a6d41202bffcb1bb62dea93f5df0",
"detected_licenses": [
"Apache-2.0",
"Python-2.0"
],
"directory_id": "e75e87f4114edf2e769e1502134a4f866f28ca78",
... | 2.796875 | stackv2 | from .base import BaseAPI
from ..metadata import CurveType
from ..parser.timeseries import parse_timeseries
# Tuple of supported values for Curve.curve_type in the time series API
CURVE_TYPES = (CurveType.TIMESERIES, CurveType.SCENARIO_TIMESERIES)
class TimeseriesAPI(BaseAPI):
"""
Time series API operations... | 66 | 38.68 | 88 | 12 | 595 | python | [] | 0 | true | |
2024-11-18T18:05:43.895243+00:00 | 1,619,674,139,000 | c814a34864a4158acf4e1abbbb583376f3efad66 | 3 | {
"blob_id": "c814a34864a4158acf4e1abbbb583376f3efad66",
"branch_name": "refs/heads/master",
"committer_date": 1619674139000,
"content_id": "8b45c9393b96c8f7482a7754a3078e8eb2a7bbc4",
"detected_licenses": [
"MIT"
],
"directory_id": "4790aa158050f52b2f0fa990467774c5276b4bc8",
"extension": "py",
"fi... | 2.640625 | stackv2 | import numpy as np
import torch
import torch.nn.functional as F
def sample_gumbel(shape, eps=1e-10):
"""
NOTE: Stolen from https://github.com/YongfeiYan/Gumbel_Softmax_VAE/blob/master/gumbel_softmax_vae.py
Sample from Gumbel(0, 1)
based on
https://github.com/ericjang/gumbel-softmax/blob/3c858492... | 201 | 30.78 | 118 | 16 | 1,799 | python | [] | 0 | true | |
2024-11-18T18:05:44.180405+00:00 | 1,487,096,748,000 | f66444c9b20297e96d451b5216019f2f5e1608a2 | 3 | {
"blob_id": "f66444c9b20297e96d451b5216019f2f5e1608a2",
"branch_name": "refs/heads/master",
"committer_date": 1487096748000,
"content_id": "8d9ac11787edbcb15bd3b63115a95a1be7e3836b",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "1ef0b40be50ab0094b8bdf493dddbc1b2e8935cb",
"extension": "p... | 3.046875 | stackv2 | #!/usr/bin/env python3
"""This example shows how to use the Thermo3 Click wrapper of the LetMeCreate
library.
It reads the temperature from the sensor and exits.
The Thermo3 Click must be inserted in Mikrobus 1 before running this program.
"""
from letmecreate.core import i2c
from letmecreate.core.common import MI... | 27 | 20.67 | 77 | 9 | 164 | python | [] | 0 | true | |
2024-11-18T18:05:44.243598+00:00 | 1,616,379,521,000 | e499f5a96555c30d62ba84e6a2a828f038b81458 | 4 | {
"blob_id": "e499f5a96555c30d62ba84e6a2a828f038b81458",
"branch_name": "refs/heads/master",
"committer_date": 1616379521000,
"content_id": "fd1fd060ee4d78f53d8ddd4c089fe6243cc28c26",
"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "ec93898c4792f3eb920eaa0159cced2cc6d5274d",
"extension": "p... | 3.703125 | stackv2 | # shuffle file and rename
import os
from random import shuffle
# Function to rename multiple files
def main():
num = []
for count in range(200):
if count < 10:
dst = "00" + str(count) + ".jpg"
num.append(dst)
elif count < 100 and count > 9:
dst = "0" ... | 31 | 25.06 | 61 | 15 | 205 | python | [] | 0 | true | |
2024-11-18T18:05:44.308384+00:00 | 1,578,981,575,000 | 8d0411d1a3851550c8d731400213ff48f1c3b0c7 | 2 | {
"blob_id": "8d0411d1a3851550c8d731400213ff48f1c3b0c7",
"branch_name": "refs/heads/master",
"committer_date": 1578981575000,
"content_id": "e86b6be15675ecfb59b4c74485893d83221a5f43",
"detected_licenses": [
"MIT"
],
"directory_id": "8142e588999503979e1cd9d1989cdd43dc9417d6",
"extension": "py",
"fi... | 2.390625 | stackv2 | from evkit.models.taskonomy_network import TaskonomyDecoder
from tlkit.utils import SINGLE_IMAGE_TASKS, TASKS_TO_CHANNELS, FEED_FORWARD_TASKS
import torch
import torch.nn.functional as F
def softmax_cross_entropy(inputs, target, weight=None, cache={}, size_average=None, ignore_index=-100,
reduce=None... | 235 | 47.47 | 151 | 20 | 2,680 | python | [] | 0 | true | |
2024-11-18T18:05:44.364393+00:00 | 1,611,199,867,000 | ee5b19626616ec7568a5cb774bc5a76529f3c51e | 3 | {
"blob_id": "ee5b19626616ec7568a5cb774bc5a76529f3c51e",
"branch_name": "refs/heads/main",
"committer_date": 1611199867000,
"content_id": "18f2c7b9a15197f4a4144413fbc6b994a8d3c99f",
"detected_licenses": [
"MIT"
],
"directory_id": "6803e1834d76c7a9c1fd2484bbfb438615c341a2",
"extension": "py",
"file... | 2.921875 | stackv2 | from more_itertools import split_at
grps = split_at(map(str.rstrip, open('d22.txt')), pred=lambda e: e == '')
grps = list(grps)
grp1 = list(map(int, grps[0][1:]))
grp2 = list(map(int, grps[1][1:]))
FIRST_DECK_WON = 0
SECOND_DECK_WON = 1
old_print=print
print=lambda *args: None
def match(grp1, grp2, depth=0):
memo... | 61 | 34.2 | 87 | 17 | 668 | python | [] | 0 | true | |
2024-11-18T18:05:44.494368+00:00 | 1,636,657,919,000 | fa744d53462754fe0a60b43129fa4253a93b8640 | 2 | {
"blob_id": "fa744d53462754fe0a60b43129fa4253a93b8640",
"branch_name": "refs/heads/main",
"committer_date": 1636657919000,
"content_id": "0e1e3551fdc51aeacbd45c453caf0fe56abd7d37",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "d29ad540b82d834509697f65b98ccd54514bb51d",
"extension": "py",
... | 2.453125 | stackv2 | #!/usr/local/bin/python
# -*- coding:utf-8 -*-
import os
import logging
import time
import atexit
import json
import random
from threading import Timer
import paho.mqtt.client as mqtt
logging.basicConfig(level=logging.INFO)
bpmThreshold = int(os.getenv("BPM_THRESHOLD", "80"))
mqttRetryPeriod = int(os.getenv("MQTT_RET... | 94 | 24.07 | 85 | 18 | 526 | python | [] | 0 | true | |
2024-11-18T18:05:44.612828+00:00 | 1,692,088,231,000 | ea424e926ccd447792ed52f737b5a7a6c624043a | 2 | {
"blob_id": "ea424e926ccd447792ed52f737b5a7a6c624043a",
"branch_name": "refs/heads/master",
"committer_date": 1692088231000,
"content_id": "4a7bb7a8e088e4cbe8723325ef44f7da19e4de8b",
"detected_licenses": [
"MIT"
],
"directory_id": "586c97e81b448d9f4c1525205eaccc727f789ee7",
"extension": "py",
"fi... | 2.328125 | stackv2 | "Bit of a floating module, I guess to avoid circular dependencies. Needs to be reconciled somehow."
from . import bluegreen, bluegreen_v2, context_handler, cloudformation
def concurrency_for(stackname, concurrency_name):
"""concurrency default is to perform updates one machine at a time.
Concurrency can be:
... | 31 | 35.45 | 117 | 14 | 245 | python | [] | 0 | true | |
2024-11-18T18:05:45.004802+00:00 | 1,553,968,313,000 | 3d4e3f0ca608cdd90cf10c1b9ff48162f1894a9c | 3 | {
"blob_id": "3d4e3f0ca608cdd90cf10c1b9ff48162f1894a9c",
"branch_name": "refs/heads/master",
"committer_date": 1553968313000,
"content_id": "a401326a18810b96c3f274a9ca12b3d5b36fbe8f",
"detected_licenses": [
"MIT"
],
"directory_id": "8f501d223fa7942a7994cd5b7788626386bbe1ea",
"extension": "py",
"fi... | 2.765625 | stackv2 | # source: https://github.com/django/django/blob/master/django/utils/crypto.py
"""
Django's standard crypto functions and utilities.
"""
import hashlib
import hmac
import random
import time
from .encoding import force_bytes
# Use the system PRNG if possible
try:
random = random.SystemRandom()
using_sysrandom ... | 51 | 31.86 | 80 | 11 | 389 | python | [{"finding_id": "codeql_py/weak-sensitive-data-hashing_5c97c29f46b37af3_d1c117d7", "tool_name": "codeql", "rule_id": "py/weak-sensitive-data-hashing", "finding_type": "path-problem", "severity": "medium", "confidence": "high", "message": "[Sensitive data (secret)](1) is used in a hashing algorithm (SHA1) that is insecu... | 1 | true | |
2024-11-18T18:05:45.157547+00:00 | 1,430,934,893,000 | 9936379ea8ae076b9b0c4ce5b322d8a12497e38a | 2 | {
"blob_id": "9936379ea8ae076b9b0c4ce5b322d8a12497e38a",
"branch_name": "refs/heads/master",
"committer_date": 1431212320000,
"content_id": "92a5167070c5a64bd70518f188bd927997a14043",
"detected_licenses": [
"MIT"
],
"directory_id": "7492f373430262e8ba95c4cc52517ed23107dc67",
"extension": "py",
"fi... | 2.359375 | stackv2 | from formatter import Formatter
from textwrap import dedent
from socket import AF_INET, AF_INET6, inet_pton, error as socket_error
def try_inet_pton(af, ip):
try:
inet_pton(af, ip)
return True
except socket_error:
return False
class _DNSFormatter(Formatter):
filters = {
... | 139 | 29.15 | 85 | 20 | 851 | python | [] | 0 | true | |
2024-11-18T18:05:45.216591+00:00 | 1,520,583,750,000 | 7b396ee7a42a3d6d13a2ce05911851c1a7280a99 | 2 | {
"blob_id": "7b396ee7a42a3d6d13a2ce05911851c1a7280a99",
"branch_name": "refs/heads/master",
"committer_date": 1520587886000,
"content_id": "834c4ebd683a9b3093dc1ad00ad760381f8f8b35",
"detected_licenses": [
"Apache-2.0"
],
"directory_id": "16a223d5cb6a96e1b6a9aa84636670fa7ddf7fda",
"extension": "py"... | 2.453125 | stackv2 | # -*- coding: utf-8 -*-
"""
CRUD operation for environment model
"""
from DB.api import database
from DB import exception
from DB.models import Environment
from DB.api import dbutils as utils
RESP_FIELDS = ['id', 'resource', 'resource_id', 'temperature', 'humidity', 'pressure', 'uv_index', 'created_at']
SRC_EXISTED_F... | 58 | 34.57 | 112 | 13 | 463 | python | [] | 0 | true | |
2024-11-18T18:05:45.285112+00:00 | 1,656,655,324,000 | a1276ef6fdb8b15fbc036f607af938a8167a8e55 | 2 | {
"blob_id": "a1276ef6fdb8b15fbc036f607af938a8167a8e55",
"branch_name": "refs/heads/master",
"committer_date": 1656655324000,
"content_id": "3a1c19d1fff76ffb23b49e8d8e650ef5b7d3353f",
"detected_licenses": [
"MIT"
],
"directory_id": "17887c1493c24e232de6ed65f4a7a1a715dad5de",
"extension": "py",
"fi... | 2.390625 | stackv2 | " Userman: User handlers. "
import json
import logging
import tornado.web
import pycountry
import requests
from . import constants
from . import settings
from . import utils
from .saver import DocumentSaver
from .requesthandler import RequestHandler
class UserSaver(DocumentSaver):
doctype = constants.USER
... | 366 | 37.25 | 84 | 18 | 2,806 | python | [] | 0 | true | |
2024-11-18T18:05:45.516829+00:00 | 1,555,971,647,000 | 802f1ee328eed72d7ebaefc238221a6e2473c2a0 | 3 | {
"blob_id": "802f1ee328eed72d7ebaefc238221a6e2473c2a0",
"branch_name": "refs/heads/master",
"committer_date": 1555971647000,
"content_id": "839d3604c6ec26c623a189a8fa3d34686739a921",
"detected_licenses": [
"MIT"
],
"directory_id": "3487e0a57626fb77b5e7a2b8ca05967d091bfd46",
"extension": "py",
"fi... | 2.875 | stackv2 | """
"""
import logging
from flask import request
class RequestFormatter(logging.Formatter):
def format(self, record):
record.url = request.url
record.remote_addr = request.remote_addr
return super().format(record)
def fmt(method: str, username: str, description: str) -> str:
"""
... | 30 | 21.67 | 71 | 11 | 156 | python | [] | 0 | true | |
2024-11-18T18:05:45.845735+00:00 | 1,546,505,158,000 | 3a16caa3024ddf7a923ceb439c9222a19d791635 | 4 | {
"blob_id": "3a16caa3024ddf7a923ceb439c9222a19d791635",
"branch_name": "refs/heads/master",
"committer_date": 1546505158000,
"content_id": "fe1b402847974895a719e2409dad259e001e7416",
"detected_licenses": [
"MIT"
],
"directory_id": "8bec264dedd43697074890e3e4ac2368f007dae4",
"extension": "py",
"fi... | 3.609375 | stackv2 | import csv
def adresswriter(name,email):
with open('data.csv', 'a+') as csvfile:
filewriter = csv.writer(csvfile, delimiter=',',quotechar='|', quoting=csv.QUOTE_MINIMAL)
filewriter.writerow([name, email])
x=0
while 1==1:
em=input('enter email address: ')
nm=input('enter name/names... | 16 | 25.06 | 96 | 12 | 114 | python | [] | 0 | true | |
2024-11-18T18:05:45.896623+00:00 | 1,459,329,252,000 | 6332ead8e3decd5eb3750b8a88834aa153641bce | 2 | {
"blob_id": "6332ead8e3decd5eb3750b8a88834aa153641bce",
"branch_name": "refs/heads/master",
"committer_date": 1459329252000,
"content_id": "af7fee61b0d5426e89b929f3901a907d2549829d",
"detected_licenses": [
"MIT"
],
"directory_id": "1d63cf9c51f14b70940263150cd93e3896c2ae55",
"extension": "py",
"fi... | 2.421875 | stackv2 | # -*- coding: utf-8 -*-
## @package ivf.datasets.threed_model
#
# ivf.datasets.threed_model utility package.
# @author tody
# @date 2016/02/18
import os
from ivf.datasets.datasets import datasetRootDir, subDirectory, datasetFiles, datasetFileNames
def shapeDatasetDir():
return os.path.join(dataset... | 44 | 25.98 | 94 | 11 | 282 | python | [] | 0 | true | |
2024-11-18T18:05:46.003289+00:00 | 1,622,992,309,000 | 8040661275f659e441d8d8ed5d98cb211cfd746e | 2 | {
"blob_id": "8040661275f659e441d8d8ed5d98cb211cfd746e",
"branch_name": "refs/heads/master",
"committer_date": 1622992309000,
"content_id": "2e87b042e559de792219aa4c9b318e1d4b55f78e",
"detected_licenses": [
"MIT"
],
"directory_id": "16b56c2b25126fd11a9e191f79473d13c33e6013",
"extension": "py",
"fi... | 2.34375 | stackv2 | import argparse
import os
from rxnebm.data.preprocess import clean_smiles, prep_crem, prep_nmslib, smi_to_fp
def parse_args():
"""This is directly copied from trainEBM.py"""
parser = argparse.ArgumentParser("trainEBM.py")
parser.add_argument(
"--train_from_scratch",
help="Whether to train ... | 160 | 28.11 | 87 | 12 | 1,127 | python | [] | 0 | true | |
2024-11-18T18:05:46.316567+00:00 | 1,680,854,992,000 | 28acc4967de2f8d78443da54b955b2829bc6956a | 2 | {
"blob_id": "28acc4967de2f8d78443da54b955b2829bc6956a",
"branch_name": "refs/heads/master",
"committer_date": 1680854992000,
"content_id": "4d2cb48436d0ccb9e065fc11bbf615ca06821d73",
"detected_licenses": [
"MIT"
],
"directory_id": "c9fe7a29cceffeed3823609b5f4b2dfe401c2e19",
"extension": "py",
"fi... | 2.453125 | stackv2 | from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker
c = (
Bar()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Y 轴 formatter"),
... | 16 | 27.19 | 88 | 17 | 123 | python | [] | 0 | true | |
2024-11-18T18:05:47.825342+00:00 | 1,523,226,785,000 | d92bff9d07c93b4bf2cb825a0b311a0f571da528 | 3 | {
"blob_id": "d92bff9d07c93b4bf2cb825a0b311a0f571da528",
"branch_name": "refs/heads/master",
"committer_date": 1523226785000,
"content_id": "7a17779f3b0ab3aa1b6654552ffcf1072539d160",
"detected_licenses": [
"MIT"
],
"directory_id": "d91b9e75b6832aa8998c6acd7d61f150fa08f23e",
"extension": "py",
"fi... | 3.09375 | stackv2 | '''
Owner - Rawal Shree
Email - rawalshreepal000@gmail.com
Github - https://github.com/rawalshree
'''
import math
global plain
global cipher
global Success
Success = False
plain = ""
cipher = ""
class Railfence:
def setKey(self, key):
global Success
try:
self.key = int(key)
... | 66 | 22.71 | 85 | 19 | 346 | python | [] | 0 | true | |
2024-11-18T18:05:47.942427+00:00 | 1,693,585,381,000 | ba30087c38abe46c4dc4415c1a63caaf047b5422 | 3 | {
"blob_id": "ba30087c38abe46c4dc4415c1a63caaf047b5422",
"branch_name": "refs/heads/main",
"committer_date": 1693585381000,
"content_id": "fcda9904a9e9694b8e8a4952261b2681baa39a3e",
"detected_licenses": [
"Apache-2.0",
"MIT"
],
"directory_id": "d51f530078404a24f1844b53b037bbfed238a784",
"extensi... | 2.5625 | stackv2 | # This code is a sample only. Not for use in production.
#
# Author: Katreena Mullican
# Contact: mullicak@amazon.com
#
import boto3
import os
import json
s3 = boto3.client('s3')
rekognition = boto3.client('rekognition')
dynamodb = boto3.client('dynamodb')
def handler(event, context):
bucket_name = (os.environ['B... | 56 | 30.29 | 116 | 16 | 397 | python | [] | 0 | true | |
2024-11-18T18:05:48.482099+00:00 | 1,633,365,751,000 | bbefe569b43449a354c0f0f39fc14435447c2456 | 3 | {
"blob_id": "bbefe569b43449a354c0f0f39fc14435447c2456",
"branch_name": "refs/heads/main",
"committer_date": 1633365751000,
"content_id": "324904ce1c6219304616d7ef816834d92dec3937",
"detected_licenses": [
"MIT",
"MIT-0"
],
"directory_id": "97cfb911dd043a130a5467aceb4726bdd3ef5c4b",
"extension": ... | 2.765625 | stackv2 | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
# CloudWatch Custom Widget sample: simple debugger, displays form and parameters passed to widget
import json
import os
DOCS = """
## Custom Widget Debugger
A simpler "debugger" custom widget that prints out:
* the L... | 75 | 34.57 | 159 | 10 | 648 | python | [] | 0 | true | |
2024-11-18T18:05:48.540417+00:00 | 1,616,777,238,000 | 768cf9044f56568dd13f1f85b888f28e1c866a05 | 2 | {
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"extension": "py"... | 2.40625 | stackv2 | # -*- coding: utf-8 -*-
# This file is part of the Ingram Micro Cloud Blue Connect connect-cli.
# Copyright (c) 2019-2021 Ingram Micro. All Rights Reserved.
import json
import subprocess
import click
def continue_or_quit():
while True:
click.echo('')
click.echo("Press 'c' to continue or 'q' to q... | 34 | 27.85 | 80 | 16 | 241 | python | [] | 0 | true | |
2024-11-18T18:05:48.758111+00:00 | 1,580,765,531,000 | d4312ef8c150274407c0e4854c1de02e54551411 | 4 | {
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"MIT"
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"extension": "py",
"fi... | 3.59375 | stackv2 | # Solving the 2-SUM problem using a hash table
# prints out the number of target sums t in a given range that have at least one pair of numbers adding up to it
from tqdm import tqdm
h = {}
with open('2sum.txt', 'r') as doc:
for line in doc:
h[int(line)] = 1
c = 0
for t in tqdm(range(-10000, 10001)):
... | 18 | 22.61 | 112 | 11 | 132 | python | [] | 0 | true | |
2024-11-18T18:05:48.834403+00:00 | 1,605,371,254,000 | fe0ea0c87e90612db5a6624c3317b7ca97d31d0a | 3 | {
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"extension": "py",
"file... | 3.3125 | stackv2 | import pygame as pg
class Display:
"""
docstring
"""
def __init__(self, game, screen_width, screen_height, offset_height, background_color):
self.screen_height = screen_height
self.screen_width = screen_width
self.screen = pg.display.set_mode((screen_width, screen_height))
... | 35 | 40.69 | 114 | 17 | 306 | python | [] | 0 | true | |
2024-11-18T18:05:49.936607+00:00 | 1,543,693,800,000 | 9fe6f61b04a321be9e7ea0318a488ccb8faf3608 | 3 | {
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"extension": "py",
"fi... | 2.859375 | stackv2 | #!/usr/bin/env python3
from ev3dev2.utility.global_variable import *
def degrees_sollevatore(direction, degrees):
# comandi per il sollevatore
command = 1
# conversion = 8600
if direction is UP:
command = -1
return command*degrees*24
def degrees_braccio(direction, degrees):
# comand... | 36 | 23.08 | 58 | 11 | 241 | python | [] | 0 | true | |
2024-11-18T18:05:50.236363+00:00 | 1,486,398,951,000 | 61ffdc477f0ecc2b6c07b3616e7042bc8e68f905 | 2 | {
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"detected_licenses": [
"ISC"
],
"directory_id": "e781a2a5dbd55bf7591fec9efb50b3bc3bad5167",
"extension": "py",
"fi... | 2.328125 | stackv2 | import uuid
from django.db import models
from ckeditor.fields import RichTextField
from django.utils.translation import ugettext_lazy as _
class AgeCategories(object):
choices = (
('default', _('Default')),
('children', _('Children')),
('young', _('Young')),
('adults', _('Adults')... | 138 | 30.4 | 115 | 11 | 902 | python | [] | 0 | true | |
2024-11-18T18:05:50.435877+00:00 | 1,632,236,428,000 | c07cc5f5412176eb9a5a9ee266c8c34e3363267d | 3 | {
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"committer_date": 1632236428000,
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"detected_licenses": [
"MIT"
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"directory_id": "e93c6e93f612bca7f192adf539b4f489ad114ab5",
"extension": "py",
"file... | 2.625 | stackv2 | # ---- Worker application --------------------------------
import json
import os
import pika
from CaptureThread import CaptureThread
from PortscanThread import PortscanThread
from TracerouteThread import TracerouteThread
CAPTURE = "capture"
PORTSCAN = "portscan"
TRACEROUTE = "traceroute"
if os.geteuid() != 0:
... | 84 | 27.55 | 92 | 13 | 574 | python | [] | 0 | true | |
2024-11-18T18:05:50.494597+00:00 | 1,600,457,101,000 | cc71e14c4713664a632c671fd7c0cf4949920d0c | 3 | {
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"MIT"
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"extension": "py",
"fi... | 2.875 | stackv2 | import numpy
import argparse
import os
import time
import dlib
import cv2 as cv
from math import hypot
from face import face_tracker
# Descripción para argumentos del script
parser = argparse.ArgumentParser(description = 'Image Convolution')
parser.add_argument('-f','--file', default="", help="Introduce file name.")
... | 127 | 45.95 | 136 | 17 | 1,788 | python | [] | 0 | true | |
2024-11-18T18:05:50.786093+00:00 | 1,425,253,712,000 | e5af85924f64e5cd20cb4634d93cd34727db9ef4 | 3 | {
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"detected_licenses": [
"BSD-3-Clause"
],
"directory_id": "769fb250df521e23a045940ad41b14d4e0b8d835",
"extension": "p... | 2.90625 | stackv2 | from rdflib.graph import Graph
import os
class Store(object):
def attach_directory(self, dirname):
"""Attach to a directory containing RDF files
and deliver data from there"""
self.graph = Graph()
self.basedir = dirname
for dirpath, _, filenames in os.walk(dirname):
... | 22 | 29.32 | 86 | 19 | 128 | python | [] | 0 | true | |
2024-11-18T18:05:50.891605+00:00 | 1,674,337,881,000 | a1d4e937240c69fa96324322c0525f937a87e6a7 | 3 | {
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"MIT"
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"directory_id": "d5d1e33f783568205d7883059fcd40a68c10a7f1",
"extension": "py",
"fi... | 2.625 | stackv2 | from django.core.management.base import BaseCommand, CommandError
from django.core.exceptions import ObjectDoesNotExist
from trainer.models import Rule, User
import re
class Command(BaseCommand):
help = 'Reads update rule set vom kommaregeln.csv'
def add_arguments(self, parser):
# Named (optional) arg... | 59 | 42.49 | 137 | 20 | 544 | python | [] | 0 | true | |
2024-11-18T18:05:50.995077+00:00 | 1,681,380,941,000 | e318ef477e6416a2771f439d3ccca329e22e093b | 3 | {
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"detected_licenses": [
"Apache-2.0"
],
"directory_id": "af84dbfbdca0ee1a354924881b6578c37a66efcf",
"extension": "py"... | 2.828125 | stackv2 | # _*_ coding:utf8 _*_
import numpy as np
import pandas as pd
import tensorflow as tf
import sys
#import ncf.metrics
import metrics
class NCF(object):
def __init__(self, embed_size, user_size, item_size, lr,
optim, initializer, loss_func, activation_func,
regularizer_rate, iterat... | 227 | 44.54 | 87 | 16 | 2,121 | python | [] | 0 | true | |
2024-11-18T18:05:51.110968+00:00 | 1,616,895,046,000 | 8423c4bedaae40da0e6d2c2b43c48f56b89c5965 | 3 | {
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"MIT"
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"extension": "py",
"fi... | 2.8125 | stackv2 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 3 01:56:34 2021
@author: Clauber
"""
import socket
#obj de conexão
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
print("Socket criado com socesso!")
host = 'localhost'
port = 5432
#fazendo a ligação a partir do host e da porta do host
s.bind((host, port))
mensage... | 24 | 26.92 | 88 | 13 | 209 | python | [] | 0 | true | |
2024-11-18T18:05:51.163839+00:00 | 1,613,149,366,000 | d287c681a0f37bd86150a1f567579bdd0faf790a | 4 | {
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"MIT"
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"extension": "py",
"file... | 3.859375 | stackv2 | from collections import defaultdict
class UGraph:
"""Constructs an undirected weighted graph."""
def __init__(self):
self.graph = defaultdict(list)
def add_edge(self, src: int, dest: int, w: int) -> None:
"""Add weighted edges between source and destination vertices.
:pa... | 35 | 28.66 | 81 | 11 | 248 | python | [] | 0 | true | |
2024-11-18T18:05:51.327859+00:00 | 1,605,611,951,000 | 3379b7bf8c895c1db53f826ee6b01d695c771ecb | 3 | {
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"extension": "py"... | 2.75 | stackv2 | import numpy as np
import torch
import torch.utils.data as data
from torch.utils.data import DataLoader
from utils import train
class DirectionalLinearDataset(data.Dataset):
def __init__(self,
v,
num_samples=10000,
sigma=3,
epsilon=1,
... | 151 | 39.08 | 100 | 17 | 1,218 | python | [] | 0 | true | |
2024-11-18T18:05:51.617780+00:00 | 1,598,241,307,000 | eb57e4f1d5091808917207f41e715581d3336e27 | 4 | {
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"extension": "py",
"fi... | 3.734375 | stackv2 | import os
import re
from operator import itemgetter
def get_clean_col_and_delimiter(file_path):
"""
detect delimiter in text file by glancing at first row
:param file_path: path of text file (str)
:return:
number of delimiters that are detected (int)
delimiter (str)
"""
first_... | 45 | 27.89 | 114 | 15 | 306 | python | [] | 0 | true | |
2024-11-18T18:05:51.739998+00:00 | 1,563,480,494,000 | c361e9d07137271c12584cfd09f0345a994daa93 | 3 | {
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"MIT"
],
"directory_id": "d7f7c31da748f0b7d02646fc26315c479035822d",
"extension": "py",
"fi... | 2.546875 | stackv2 | from models import ChordDesc
import asyncio, aiohttp
from urllib.parse import quote
from lxml import html
import logging
HTTP_OK = 200
JGUITAR_BASE_URL = 'https://jguitar.com'
JGUITAR_SEARCH_URL_FMT = JGUITAR_BASE_URL + '/chordsearch?chordsearch={}'
async def _get_chord_image_urls(client: aiohttp.ClientSession, cho... | 39 | 30.21 | 81 | 13 | 319 | python | [] | 0 | true | |
2024-11-18T18:05:51.782526+00:00 | 1,633,726,686,000 | 3a6d8286d4d20bf8768da44caf705aa605abdc20 | 2 | {
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"Apache-2.0"
],
"directory_id": "c7b3f765302d4737ae8bc6e3973bce900d0a93cd",
"extension": "py",
... | 2.453125 | stackv2 | import pyaudio
import threading
import time
import argparse
import wave
import torchaudio
import torch
import numpy as np
from neuralnet.dataset import get_featurizer
from threading import Event
class Listener:
def __init__(self, sample_rate=8000, record_seconds=2):
self.chunk = 1024
self.sample_... | 155 | 33.76 | 98 | 17 | 1,221 | python | [] | 0 | true | |
2024-11-18T18:05:51.834545+00:00 | 1,462,411,624,000 | cf54a28b454191968d424270b14794bdf4c83365 | 2 | {
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"directory_id": "6071f5f8c3bb1e0b6ecc280664058cf74e0e93e1",
"extension": "py",
"fi... | 2.484375 | stackv2 | import pdb
def readit(filename):
data = open(filename, 'r+')
line = data.readline()
i=1
event_log = {}
while line != '':
if 'event' in line:
line = data.readline()
line = data.readline()
line = data.readline()
line = data.readline()
event = []
while (line.find('event') == -1) & (line.find('sum... | 65 | 30.69 | 131 | 18 | 666 | python | [] | 0 | true | |
2024-11-18T18:05:51.893426+00:00 | 1,627,356,144,000 | 0e0c4b7fa36f3a02ffa8eda95febeb7d2d92704a | 2 | {
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"extension": "py",
"fi... | 2.34375 | stackv2 | from typing import Any, Dict, Sequence, List
from ...base import Component
class Banner(Component):
def __init__(self, data: Dict[str, Any], *args: Any, **kwargs: Any):
"""From https://github.com/wpscanteam/wpscan/blob/master/app/views/json/core/banner.erb"""
super().__init__(data, *args, **kwarg... | 34 | 33.91 | 98 | 16 | 271 | python | [] | 0 | true | |
2024-11-18T18:05:52.011974+00:00 | 1,512,495,654,000 | 66e2f97893448058da44f94b9fe7bbe49c289692 | 2 | {
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"MIT"
],
"directory_id": "5a49a78056a7f3bb7d5b4560eccaca878c58e999",
"extension": "py",
"fi... | 2.484375 | stackv2 | # coding=utf-8
import json
import h5py
def get_weights_from_hdf5_group(hfg):
layer_names = [n.decode('utf8') for n in hfg.attrs['layer_names']]
weight_dict = dict()
for name in layer_names:
g = hfg[name]
weight_names = [n.decode('utf8') for n in g.attrs['weight_names']]
weight_val... | 27 | 33.52 | 87 | 17 | 259 | python | [] | 0 | true | |
2024-11-18T18:05:52.066530+00:00 | 1,454,423,768,000 | 3ab9a582339c814f2fba0bef3e604bfb9c60abbe | 3 | {
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"detected_licenses": [
"MIT"
],
"directory_id": "178e21d6a361dd487eece27c22da6ccd9f301b29",
"extension": "py",
"fi... | 2.609375 | stackv2 |
class ServiceBase(object):
@classmethod
def balance(cls, address, confirmations=0):
"""
Returns the amount of satoshis on the address
with the specified number of confirmations.
"""
raise NotImplementedError
@classmethod
def block_height(cls):
"""
... | 32 | 24.38 | 65 | 9 | 161 | python | [] | 0 | true |
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