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63f1bbf7c5bc0ddb0546934f8c64da5077e3f88c | 5,343 | py | Python | pitfall/utils.py | bincyber/pitfall | 680c33ae30a2ed1d2bbf742f74accc34b81b1f5b | [
"Apache-2.0"
] | 33 | 2019-11-06T03:45:55.000Z | 2020-12-15T09:14:42.000Z | pitfall/utils.py | bincyber/pitfall | 680c33ae30a2ed1d2bbf742f74accc34b81b1f5b | [
"Apache-2.0"
] | 3 | 2019-11-19T19:02:44.000Z | 2020-03-29T17:52:11.000Z | pitfall/utils.py | bincyber/pitfall | 680c33ae30a2ed1d2bbf742f74accc34b81b1f5b | [
"Apache-2.0"
] | 1 | 2020-07-29T07:33:52.000Z | 2020-07-29T07:33:52.000Z | # Copyright 2019 Ali (@bincyber)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31.429412 | 102 | 0.703724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,123 | 0.397342 |
63f2138c7f6ecd04713fbbea646ddb3dcb6f6400 | 93 | py | Python | ch06/matplotlib_demo.py | jabrena/space-math | 313d66f48ef642d7ce4d2c9765d55bc4bdade17b | [
"Apache-2.0"
] | 1 | 2021-07-26T18:40:15.000Z | 2021-07-26T18:40:15.000Z | ch06/matplotlib_demo.py | jabrena/space-math | 313d66f48ef642d7ce4d2c9765d55bc4bdade17b | [
"Apache-2.0"
] | 24 | 2021-07-10T15:31:05.000Z | 2022-03-17T06:43:36.000Z | ch06/matplotlib_demo.py | jabrena/space-math | 313d66f48ef642d7ce4d2c9765d55bc4bdade17b | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
plt.plot([1,23,2,4])
plt.ylabel('some numbers')
plt.show()
| 13.285714 | 31 | 0.709677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.150538 |
63f28425c3f52ac3335ca7b5ceae3be50c402ea4 | 62,779 | py | Python | pysnmp/HP-ICF-IP-ROUTING.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/HP-ICF-IP-ROUTING.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/HP-ICF-IP-ROUTING.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module HP-ICF-IP-ROUTING (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HP-ICF-IP-ROUTING
# Produced by pysmi-0.3.4 at Mon Apr 29 19:21:41 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 136.77342 | 9,869 | 0.751079 | 1,196 | 0.019051 | 0 | 0 | 0 | 0 | 0 | 0 | 12,520 | 0.19943 |
63f3eca2bcc5a707c88b9689f2ad3589628e5416 | 13,261 | py | Python | chb/bctypes/BCTyp.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | chb/bctypes/BCTyp.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | chb/bctypes/BCTyp.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# CodeHawk Binary Analyzer
# Author: Henny Sipma
# ------------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2021-2022 Aarno Labs LLC
#
# Permission is hereby granted, free of ... | 25.900391 | 80 | 0.567981 | 8,710 | 0.656813 | 0 | 0 | 8,397 | 0.63321 | 0 | 0 | 3,508 | 0.264535 |
63f444046bb1df157608c2a56987485735098de5 | 1,810 | py | Python | select_language.py | elviscruz45/Selenium | 4959b552fe3658802663520fc817f5e3c86aa2b7 | [
"MIT"
] | null | null | null | select_language.py | elviscruz45/Selenium | 4959b552fe3658802663520fc817f5e3c86aa2b7 | [
"MIT"
] | null | null | null | select_language.py | elviscruz45/Selenium | 4959b552fe3658802663520fc817f5e3c86aa2b7 | [
"MIT"
] | null | null | null | import unittest
from selenium import webdriver
#submodulo para usar el dropdown
from selenium.webdriver.support.ui import Select
class LanguageOptions(unittest.TestCase):
def setUp(self):
self.driver = webdriver.Chrome(executable_path = r'./chromedriver')
driver = self.driver
driver.implicitly_wait(30)
driv... | 36.2 | 89 | 0.781215 | 1,622 | 0.893664 | 0 | 0 | 0 | 0 | 0 | 0 | 760 | 0.418733 |
63f4edbce00fde34ebff1d87a9721442ae30e42f | 819 | py | Python | tests/test_control.py | chaostoolkit-incubator/chaostoolkit-opentracing | c3b4cf755f81db40a4a5fbf342fc6d70455eee42 | [
"Apache-2.0"
] | 4 | 2019-03-06T07:02:28.000Z | 2021-12-14T05:16:46.000Z | tests/test_control.py | chaostoolkit-incubator/chaostoolkit-opentracing | c3b4cf755f81db40a4a5fbf342fc6d70455eee42 | [
"Apache-2.0"
] | 2 | 2019-05-23T16:53:09.000Z | 2019-06-20T10:10:59.000Z | tests/test_control.py | chaostoolkit-incubator/chaostoolkit-opentracing | c3b4cf755f81db40a4a5fbf342fc6d70455eee42 | [
"Apache-2.0"
] | 2 | 2019-04-27T20:17:43.000Z | 2019-11-29T21:44:21.000Z | # -*- coding: utf-8 -*-
from unittest.mock import patch
import opentracing
from chaoslib.types import Configuration
from chaostracing.control import cleanup_control, configure_control
def test_create_noop_tracer(configuration: Configuration):
assert opentracing.is_global_tracer_registered() is False
tracer ... | 30.333333 | 67 | 0.765568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.043956 |
63f5d05472c335001bf35ef47f9208c6df7b37a9 | 1,870 | py | Python | rnn/lang_model_pred_next_word/config.py | hautan/train_tf | 0946c7a497703f13c156de9f0135296fd91127ee | [
"Apache-2.0"
] | null | null | null | rnn/lang_model_pred_next_word/config.py | hautan/train_tf | 0946c7a497703f13c156de9f0135296fd91127ee | [
"Apache-2.0"
] | null | null | null | rnn/lang_model_pred_next_word/config.py | hautan/train_tf | 0946c7a497703f13c156de9f0135296fd91127ee | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import flags
logging = tf.logging
BASIC = "basic"
CUDNN = "cudnn"
BLOCK = "block"
def get_config():
"""Get model config."""
config = None
if flags.FLAGS.model == "small":
config = SmallConfig()
elif flags.FLAGS.model == "medium":
config = MediumConfig()
elif flags.FLAGS.mode... | 19.684211 | 60 | 0.664706 | 1,192 | 0.637433 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.1 |
63f9a97f8a1d12a0c494ff5ebbdc9c80c2a7869b | 1,752 | py | Python | sensor/components/rf24.py | mattgrogan/ledmatrix | 3a54de98ab107cf1266404400c7eb576007c8b17 | [
"MIT"
] | 1 | 2017-10-27T20:27:13.000Z | 2017-10-27T20:27:13.000Z | sensor/components/rf24.py | mattgrogan/ledmatrix | 3a54de98ab107cf1266404400c7eb576007c8b17 | [
"MIT"
] | null | null | null | sensor/components/rf24.py | mattgrogan/ledmatrix | 3a54de98ab107cf1266404400c7eb576007c8b17 | [
"MIT"
] | null | null | null | import logging
import time
import requests
import influxdb
from nrf24 import NRF24
log = logging.getLogger("ledmatrix")
class RF24_Sensor(object):
def __init__(self, dbclient):
# Set up the RF24
pipes = [[0xe7, 0xe7, 0xe7, 0xe7, 0xe7],
[0xc2, 0xc2, 0xc2, 0xc2, 0xc2]]
... | 20.372093 | 65 | 0.586758 | 1,615 | 0.921804 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.145548 |
63fc3f147de82089b59cb13ec3cb28b094d1398f | 4,465 | py | Python | spider/spider.py | omilab/internet-archive-link-extractor | c6940134ccaa68fff57b71001ff9d1c3e80cab9b | [
"MIT"
] | 3 | 2018-04-30T08:06:40.000Z | 2021-06-28T05:29:14.000Z | spider/spider.py | omilab/internet-archive-link-extractor | c6940134ccaa68fff57b71001ff9d1c3e80cab9b | [
"MIT"
] | 1 | 2021-03-18T15:21:31.000Z | 2021-03-18T15:21:31.000Z | spider/spider.py | omilab/internet-archive-link-extractor | c6940134ccaa68fff57b71001ff9d1c3e80cab9b | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup, SoupStrainer
import tldextract
import json
import re
from urlparse import urlparse, urlunparse
import requests
ARCHIVE_WEB_URL = 'http://web.archive.org/web'
ARCHIVE_CDX_URL = 'http://web.archive.org/cdx/search/cdx'
MAX_EXTRACTION_LEVEL = 5
class Spider:
def __init__(self, extrac... | 36.598361 | 166 | 0.533707 | 4,186 | 0.937514 | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 0.191489 |
63fcf04b9b9a8d66be7df9996321e5a3e5b4d7e9 | 9,145 | py | Python | test/test_SM/test_ploshadki/test_ploshadka_b2b_center.py | IrinaSlobodchikova/marker | 72f981134fb025a94348cd2bc829fa8430a01372 | [
"Apache-2.0"
] | null | null | null | test/test_SM/test_ploshadki/test_ploshadka_b2b_center.py | IrinaSlobodchikova/marker | 72f981134fb025a94348cd2bc829fa8430a01372 | [
"Apache-2.0"
] | null | null | null | test/test_SM/test_ploshadki/test_ploshadka_b2b_center.py | IrinaSlobodchikova/marker | 72f981134fb025a94348cd2bc829fa8430a01372 | [
"Apache-2.0"
] | null | null | null |
def test_sm_b2b_center_include_eic_yestoday(app):
app.testhelpersm.refresh_page()
app.session.open_SM_page(app.smPurchases)
app.session.ensure_login_sm(app.username, app.password)
app.session.ensure_login_sm(app.username, app.password)
app.session.open_SM_page(app.smPurchases)
app.testHelperS... | 48.386243 | 113 | 0.774522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,630 | 0.257717 |
63fd4bd54b5d3ab935a4584d74cf20a2fb417b19 | 38 | py | Python | tests/functional/modules/a_hidden_import/__init__.py | hawkhai/pyinstaller | 016a24479b34de161792c72dde455a81ad4c78ae | [
"Apache-2.0"
] | 9,267 | 2015-01-01T04:08:45.000Z | 2022-03-31T11:42:38.000Z | tests/functional/modules/a_hidden_import/__init__.py | hawkhai/pyinstaller | 016a24479b34de161792c72dde455a81ad4c78ae | [
"Apache-2.0"
] | 5,150 | 2015-01-01T12:09:56.000Z | 2022-03-31T18:06:12.000Z | tests/functional/modules/a_hidden_import/__init__.py | hawkhai/pyinstaller | 016a24479b34de161792c72dde455a81ad4c78ae | [
"Apache-2.0"
] | 2,101 | 2015-01-03T10:25:27.000Z | 2022-03-30T11:04:42.000Z | from . import submodule # noqa: F401
| 19 | 37 | 0.710526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.315789 |
63fdd3f4280910bb636973ee1df67b1888e017fe | 340 | py | Python | celery_project/tools/exceptions.py | JasonLearning/dzdp_spider | 2e09b1a18ae7f168ff1cd7457dc6b50f2cb364a7 | [
"Apache-2.0"
] | null | null | null | celery_project/tools/exceptions.py | JasonLearning/dzdp_spider | 2e09b1a18ae7f168ff1cd7457dc6b50f2cb364a7 | [
"Apache-2.0"
] | null | null | null | celery_project/tools/exceptions.py | JasonLearning/dzdp_spider | 2e09b1a18ae7f168ff1cd7457dc6b50f2cb364a7 | [
"Apache-2.0"
] | null | null | null | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 17/2/17 下午2:39
# @Author : Jason
# @File : exceptions.py
class InvalidGoodUrlException(Exception):
pass
class InvalidCategoryUrlException(Exception):
pass
class DocumentNotFoundException(Exception):
pass
class InvalidParamException(E... | 15.454545 | 45 | 0.688235 | 204 | 0.593023 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.357558 |
63fdf7825ab44c67de691a26081114f91b5fc925 | 9,985 | bzl | Python | cc/private/common.bzl | EtherealWake/tools | 54e81b4cd01c1af34e4180376aac60bb96668865 | [
"0BSD"
] | 1 | 2019-08-13T01:11:11.000Z | 2019-08-13T01:11:11.000Z | cc/private/common.bzl | EtherealWake/tools | 54e81b4cd01c1af34e4180376aac60bb96668865 | [
"0BSD"
] | null | null | null | cc/private/common.bzl | EtherealWake/tools | 54e81b4cd01c1af34e4180376aac60bb96668865 | [
"0BSD"
] | null | null | null | #
# Copyright (c) 2019 Jonathan McGee <broken.source@etherealwake.com>
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS I... | 33.733108 | 80 | 0.665699 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,762 | 0.376765 |
120014680c2bd2d7ca378ada98745e9de9eb3aee | 7,094 | py | Python | platforms/m3/programming/program_via_i2c.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 19 | 2015-01-26T10:47:23.000Z | 2021-08-13T11:07:54.000Z | platforms/m3/programming/program_via_i2c.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 14 | 2015-08-24T02:35:46.000Z | 2021-05-05T03:53:44.000Z | platforms/m3/programming/program_via_i2c.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 9 | 2015-05-27T23:27:35.000Z | 2020-10-05T22:02:43.000Z | #!/usr/bin/env python
#
# self-test: socat -x pty,link=/tmp/com1,raw,echo=0 pty,link=/tmp/com2,raw,echo=0
from math import ceil
from m3_common import printing_sleep as sleep
import socket
import sys
import os
import mimetypes
import queue
import logging
logging.basicConfig(level=logging.INFO, format="%(message)s")
log... | 31.669643 | 89 | 0.64914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,466 | 0.347618 |
1200fc9093c669658eb3eda6038151eb69622171 | 7,889 | py | Python | aviacme/cert.py | vidarno/aviacme | 6a00c29fda1664e5f546c879487bba84ca9d3681 | [
"MIT"
] | null | null | null | aviacme/cert.py | vidarno/aviacme | 6a00c29fda1664e5f546c879487bba84ca9d3681 | [
"MIT"
] | null | null | null | aviacme/cert.py | vidarno/aviacme | 6a00c29fda1664e5f546c879487bba84ca9d3681 | [
"MIT"
] | null | null | null | """Functions related to certificates"""
import json
import logging
import uuid
from datetime import datetime, timedelta
from enum import Enum
from pathlib import Path
import attr
from cryptography import x509
from cryptography.hazmat.backends import default_backend
logger = logging.getLogger(__name__)
class CertErr... | 30.110687 | 88 | 0.591837 | 5,267 | 0.667638 | 0 | 0 | 4,932 | 0.625174 | 0 | 0 | 1,838 | 0.232983 |
12016e4fe64bb35056a54608c56a4fed76dd5e23 | 4,456 | py | Python | LeNetWithS3Pooling/training/pooling.py | cclauss/DL4AGX | b4d73f6c39b0428e32ce5656352800cc7e2cfb22 | [
"Apache-2.0"
] | 1 | 2021-04-16T10:20:08.000Z | 2021-04-16T10:20:08.000Z | LeNetWithS3Pooling/training/pooling.py | andi4191/DL4AGX | b2aec0cc0d1375bcc29a94999e8cf66ca8e218fd | [
"Apache-2.0"
] | null | null | null | LeNetWithS3Pooling/training/pooling.py | andi4191/DL4AGX | b2aec0cc0d1375bcc29a94999e8cf66ca8e218fd | [
"Apache-2.0"
] | null | null | null | ##########################################################################
# Copyright (c) 2018-2019 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#... | 37.445378 | 84 | 0.559022 | 3,466 | 0.777828 | 0 | 0 | 0 | 0 | 0 | 0 | 1,862 | 0.417864 |
1203afb61ab68811b0be249f8039a7d8df5ddf01 | 85,636 | py | Python | hubspot/cms/blogs/blog_posts/models/blog_post.py | Ronfer/hubspot-api-python | 1c87274ecbba4aa3c7728f890ccc6e77b2b6d2e4 | [
"Apache-2.0"
] | 117 | 2020-04-06T08:22:53.000Z | 2022-03-18T03:41:29.000Z | hubspot/cms/blogs/blog_posts/models/blog_post.py | Ronfer/hubspot-api-python | 1c87274ecbba4aa3c7728f890ccc6e77b2b6d2e4 | [
"Apache-2.0"
] | 62 | 2020-04-06T16:21:06.000Z | 2022-03-17T16:50:44.000Z | hubspot/cms/blogs/blog_posts/models/blog_post.py | Ronfer/hubspot-api-python | 1c87274ecbba4aa3c7728f890ccc6e77b2b6d2e4 | [
"Apache-2.0"
] | 45 | 2020-04-06T16:13:52.000Z | 2022-03-30T21:33:17.000Z | # coding: utf-8
"""
Blog Post endpoints
\"Use these endpoints for interacting with Blog Posts, Blog Authors, and Blog Tags\" # noqa: E501
The version of the OpenAPI document: v3
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from hubspot.cms.blo... | 32.315472 | 181 | 0.57115 | 85,264 | 0.995656 | 0 | 0 | 70,891 | 0.827818 | 0 | 0 | 43,318 | 0.505839 |
1204747831fc9864ec931f9ad42fa72ea7913318 | 4,743 | py | Python | detector/train.py | EthanLuu/code-clone-detector | 0b6270ba18f9f266de0160c758e3e4554912fe08 | [
"MIT"
] | 3 | 2021-11-22T03:57:43.000Z | 2022-01-11T12:08:52.000Z | detector/train.py | EthanLuu/code-clone-detector | 0b6270ba18f9f266de0160c758e3e4554912fe08 | [
"MIT"
] | null | null | null | detector/train.py | EthanLuu/code-clone-detector | 0b6270ba18f9f266de0160c758e3e4554912fe08 | [
"MIT"
] | 1 | 2021-07-12T04:25:32.000Z | 2021-07-12T04:25:32.000Z | import pandas as pd
import os
import torch
import numpy as np
import pickle
import dill
from settings import settings
from model import BatchProgramCC
from torch.autograd import Variable
from gensim.models.word2vec import Word2Vec
from sklearn.metrics import precision_recall_fscore_support
categories = 5
HIDDEN_DIM =... | 33.167832 | 118 | 0.571157 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 431 | 0.090036 |
1205449d8dab287437413d7a919c70335600e9bd | 653 | py | Python | src/lesson02/06-function.py | shq-shq-shq/python-lessons | fac96b0c95c676e8256329ac269ad4530f245d84 | [
"MIT"
] | null | null | null | src/lesson02/06-function.py | shq-shq-shq/python-lessons | fac96b0c95c676e8256329ac269ad4530f245d84 | [
"MIT"
] | null | null | null | src/lesson02/06-function.py | shq-shq-shq/python-lessons | fac96b0c95c676e8256329ac269ad4530f245d84 | [
"MIT"
] | null | null | null | def поздороваться():
print("Привет, программист!")
поздороваться()
поздороваться()
поздороваться()
поздороваться()
поздороваться()
def поздравить_с(как, чем):
print(как + " поздравляю с " + чем + "!")
поздравить_с("непременно", "новым годом")
поздороваться()
поздравить_с("вяло", "днём тунеядца и разгильдяя"... | 20.40625 | 50 | 0.7366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 294 | 0.268004 |
1205b697340a6ca66a4b5eefeee7e83d113d7439 | 3,336 | py | Python | whatthefood/data/visualise.py | lychanl/WhatTheFood | 94b6eec2c306e7e55b19395cde207d6e6beec7fe | [
"MIT"
] | null | null | null | whatthefood/data/visualise.py | lychanl/WhatTheFood | 94b6eec2c306e7e55b19395cde207d6e6beec7fe | [
"MIT"
] | null | null | null | whatthefood/data/visualise.py | lychanl/WhatTheFood | 94b6eec2c306e7e55b19395cde207d6e6beec7fe | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import pickle
import numpy as np
import argparse
from whatthefood.data.xml_to_obj import parse_file
from whatthefood.data.obj_to_nparray import get_objects_from_output, load_input_image
from whatthefood.data.preprocessing import ScalePreprocessor
from whatthefood.classification.utils im... | 34.391753 | 103 | 0.658573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 0.064448 |
120640bc4f94db61aa5fd8dea942754f11d7021a | 855 | py | Python | simulator.py | kryzsec/TOS_Prankster_Simulator | 4ef6f7133bf50607dc1a720e97ed636e740a9dc0 | [
"Unlicense"
] | null | null | null | simulator.py | kryzsec/TOS_Prankster_Simulator | 4ef6f7133bf50607dc1a720e97ed636e740a9dc0 | [
"Unlicense"
] | null | null | null | simulator.py | kryzsec/TOS_Prankster_Simulator | 4ef6f7133bf50607dc1a720e97ed636e740a9dc0 | [
"Unlicense"
] | null | null | null | from random import randint
d3 = 0
d4 = 0
d5 = 0
d6 = 0
d7 = 0
d8 = 0
d9p = 0
nm = 100000
def roll():
return randint(1,10);
def count():
num = 0
n2 = 0;
while(num<3):
n2+=1
r = roll()
if r == 10:
pass
else:
num+=1
return n2
def avg_win_day():
return (d3*3+d4*4+d5*5+d6*6+d7*7+d8*8+d9p*9)/nm
te... | 15.545455 | 262 | 0.523977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 171 | 0.2 |
1206d8e2c1e71e7cdd590a11a2f6c861efb19b7e | 12,320 | py | Python | 1_code/cluster/predict_symptoms_scv_grid.py | lindenmp/NormativeNeuroDev_CrossSec_DWI | af54928f047dd0c08fefcd7102b604cfeb84d364 | [
"MIT"
] | null | null | null | 1_code/cluster/predict_symptoms_scv_grid.py | lindenmp/NormativeNeuroDev_CrossSec_DWI | af54928f047dd0c08fefcd7102b604cfeb84d364 | [
"MIT"
] | 7 | 2020-03-25T14:09:37.000Z | 2022-01-13T02:37:09.000Z | 1_code/cluster/predict_symptoms_scv_grid.py | lindenmp/neurodev_cs_predictive | af54928f047dd0c08fefcd7102b604cfeb84d364 | [
"MIT"
] | null | null | null | import argparse
# Essentials
import os, sys, glob
import pandas as pd
import numpy as np
import copy
import json
# Stats
import scipy as sp
from scipy import stats
# Sklearn
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import KFold, GridSearchCV,... | 43.380282 | 173 | 0.589205 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,635 | 0.295049 |
1206fe6c45497b764461237225d86918b1452f87 | 941 | py | Python | code/Interpreters/RThread.py | antuniooh/Dattebayo-compiler | fd6767aee1c131dcbf76fc061bce43224df03f8b | [
"MIT"
] | null | null | null | code/Interpreters/RThread.py | antuniooh/Dattebayo-compiler | fd6767aee1c131dcbf76fc061bce43224df03f8b | [
"MIT"
] | null | null | null | code/Interpreters/RThread.py | antuniooh/Dattebayo-compiler | fd6767aee1c131dcbf76fc061bce43224df03f8b | [
"MIT"
] | 1 | 2021-12-05T14:00:39.000Z | 2021-12-05T14:00:39.000Z | from threading import Thread
class ThreadWithReturnValue(Thread):
def __init__(self, group=None, target=None, name=None,
args=(), kwargs={}, Verbose=None):
""" Performs the creation of an object of type ThreadWithReturnValue
:param group: group of thread
:param target: ta... | 28.515152 | 76 | 0.564293 | 909 | 0.965994 | 0 | 0 | 0 | 0 | 0 | 0 | 389 | 0.41339 |
1207c0c819347d26f1f5ae9a5c2ef2ea9e853dbd | 1,783 | py | Python | src/recognize.py | avi09/Desktop-Assistant | 58019b41872af932c219106db94f7c3772cdde36 | [
"MIT"
] | 1 | 2020-11-24T11:34:57.000Z | 2020-11-24T11:34:57.000Z | src/recognize.py | avi09/Desktop-Assistant | 58019b41872af932c219106db94f7c3772cdde36 | [
"MIT"
] | null | null | null | src/recognize.py | avi09/Desktop-Assistant | 58019b41872af932c219106db94f7c3772cdde36 | [
"MIT"
] | null | null | null | import speech_recognition as sr
from gtts import gTTS
import os
import threading
import time
heard = False
control = False
r = sr.Recognizer()
audio = ""
def secondary_detect():
global heard, control, audio, r
while True:
s = ""
if control==True:
try:
s = r.recognize_google(audio).lower()
except sr.U... | 23.155844 | 92 | 0.658441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 0.246775 |
1209b37a5fff85e6894affb2d4a1eb23e4cf32e9 | 838 | py | Python | counting_test.py | marcoher/rbm | 94e16393048c6a70353580c59cf0c8dc1977dd19 | [
"MIT"
] | null | null | null | counting_test.py | marcoher/rbm | 94e16393048c6a70353580c59cf0c8dc1977dd19 | [
"MIT"
] | null | null | null | counting_test.py | marcoher/rbm | 94e16393048c6a70353580c59cf0c8dc1977dd19 | [
"MIT"
] | null | null | null | from __future__ import division
from model2 import RBM2
import numpy as np
n = 15
samples = 400
X = np.zeros((samples, n, 2), dtype=np.int32)
for i in xrange(samples):
m = np.random.randint(1, n//2)
j1 = np.random.choice(n, size=(m), replace=False)
j2 = np.random.choice(n, size=(m), replace=False)
X... | 22.648649 | 83 | 0.607399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.073986 |
1209cdcba3e6b97b1c44983c53df59e38dab1068 | 629 | py | Python | experiments/swiss-roll2-17May.py | ishank011/gp-structure-search | 7984693f359baad07870ca24f058ff0bb52468b5 | [
"MIT"
] | 1 | 2020-04-08T12:25:37.000Z | 2020-04-08T12:25:37.000Z | experiments/swiss-roll2-17May.py | hassan-bdw/gp-structure-search | ca6771cb08ee993f474b8e206a0410aa0b62e58a | [
"MIT"
] | null | null | null | experiments/swiss-roll2-17May.py | hassan-bdw/gp-structure-search | ca6771cb08ee993f474b8e206a0410aa0b62e58a | [
"MIT"
] | null | null | null | # Runs on all swiss roll datasets, quickly.
Experiment(description='Swiss roll normalized slow',
data_dir='../data/swiss-roll2/',
max_depth=10,
random_order=False,
k=1,
debug=False,
local_computation=False,
n_rand=3,
sd=4,
... | 26.208333 | 52 | 0.508744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.206677 |
120b99a0975e33345360483fef0a78b371c52141 | 2,633 | py | Python | ai/split-chinese/jieba-base.py | veaba/ncov | 6019f6b90761fd39363f8a7182ffcee22b9cb7ed | [
"MIT"
] | 288 | 2020-01-21T06:12:03.000Z | 2022-01-16T08:03:13.000Z | ai/split-chinese/jieba-base.py | veaba/ncov | 6019f6b90761fd39363f8a7182ffcee22b9cb7ed | [
"MIT"
] | 26 | 2020-01-20T05:07:31.000Z | 2022-03-12T00:24:56.000Z | ai/split-chinese/jieba-base.py | veaba/ncov | 6019f6b90761fd39363f8a7182ffcee22b9cb7ed | [
"MIT"
] | 48 | 2020-01-22T09:05:59.000Z | 2022-01-16T08:03:11.000Z | # encoding=utf-8
import jieba.posseg as psg
# string="来到北京清华大学"
string ="""
4月12日0—24时，31个省（自治区、直辖市）和新疆生产建设兵团报告新增确诊病例108例，其中98例为境外输入病例，10例为本土病例（黑龙江7例，广东3例）；新增死亡病例2例（湖北2例）；新增疑似病例6例，均为境外输入病例（黑龙江4例，上海2例）。
当日新增治愈出院病例88例，解除医学观察的密切接触者1092人，重症病例减少18例。
境外输入现有确诊病例867例（含重症病例38例），现有疑似病例72例。累计确诊病例1378例，累计治愈出院病例511例，无死亡病例。
... | 65.825 | 179 | 0.550703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,948 | 0.978059 |
120ca5c4ac58e2fc2895a4b9f281ee43dcb77564 | 2,120 | py | Python | venv/lib/python3.7/site-packages/allauth/socialaccount/providers/azure/views.py | vikram0207/django-rest | eafec575999dce6859dc7b99177cff339b2bcbdd | [
"MIT"
] | 12 | 2019-08-02T07:58:16.000Z | 2022-01-31T23:45:08.000Z | venv/lib/python3.7/site-packages/allauth/socialaccount/providers/azure/views.py | vikram0207/django-rest | eafec575999dce6859dc7b99177cff339b2bcbdd | [
"MIT"
] | 23 | 2019-01-19T08:54:48.000Z | 2022-03-11T23:39:37.000Z | venv/lib/python3.7/site-packages/allauth/socialaccount/providers/azure/views.py | vikram0207/django-rest | eafec575999dce6859dc7b99177cff339b2bcbdd | [
"MIT"
] | 17 | 2020-03-03T08:42:17.000Z | 2020-10-03T16:08:49.000Z | from __future__ import unicode_literals
import requests
from allauth.socialaccount.providers.oauth2.views import (
OAuth2Adapter,
OAuth2CallbackView,
OAuth2LoginView,
)
from .provider import AzureProvider
LOGIN_URL = 'https://login.microsoftonline.com/common/oauth2/v2.0'
GRAPH_URL = 'https://graph.micr... | 33.650794 | 108 | 0.692925 | 1,645 | 0.775943 | 0 | 0 | 0 | 0 | 0 | 0 | 1,087 | 0.512736 |
120ca81e28bba9f7cc8389252be215df8a98086a | 44,887 | py | Python | meerk40t/lihuiyu/gui/lhystudiosdrivergui.py | joerlane/meerk40t | a75d78848ff1682640e112111fb6ac4e23e08616 | [
"MIT"
] | null | null | null | meerk40t/lihuiyu/gui/lhystudiosdrivergui.py | joerlane/meerk40t | a75d78848ff1682640e112111fb6ac4e23e08616 | [
"MIT"
] | null | null | null | meerk40t/lihuiyu/gui/lhystudiosdrivergui.py | joerlane/meerk40t | a75d78848ff1682640e112111fb6ac4e23e08616 | [
"MIT"
] | null | null | null | # -*- coding: ISO-8859-1 -*-
import wx
from meerk40t.core.units import Length
from meerk40t.gui.icons import icons8_administrative_tools_50
from meerk40t.gui.mwindow import MWindow
from meerk40t.kernel import signal_listener
_ = wx.GetTranslation
FIX_SPEEDS_RATIO = 0.9195
class ConfigurationUsb(wx.Panel):
def... | 39.409131 | 414 | 0.646111 | 44,592 | 0.993428 | 0 | 0 | 524 | 0.011674 | 0 | 0 | 6,455 | 0.143806 |
120cce945b9f176ef8b7f631e3e71f050cc39657 | 2,686 | py | Python | fast_multiplier_utils.py | morozyto/SMASH | 70a42bfd27b593a5ddb13a8afe58a0853a9f3a46 | [
"MIT"
] | null | null | null | fast_multiplier_utils.py | morozyto/SMASH | 70a42bfd27b593a5ddb13a8afe58a0853a9f3a46 | [
"MIT"
] | null | null | null | fast_multiplier_utils.py | morozyto/SMASH | 70a42bfd27b593a5ddb13a8afe58a0853a9f3a46 | [
"MIT"
] | null | null | null | import tools
from multiprocessing import SimpleQueue, Process
import numpy as np
__all__ = ['fast_multiply']
def get_b(i, level_to_nodes, max_level, b):
indices = level_to_nodes[max_level][i].Indices
start, end = indices[0], indices[-1]
res = b[start:end + 1]
return res
def get_G(k, i, level_to_no... | 31.6 | 119 | 0.61653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.005585 |
120dee089b6cc07493a0c81d69883ab91214ae37 | 187 | py | Python | storage/urls.py | Robin8Put/pmes | 338bec94162098f05b75bad035417317e1252fd2 | [
"Apache-2.0"
] | 5 | 2018-07-31T07:37:09.000Z | 2019-05-27T04:40:38.000Z | storage/urls.py | Robin8Put/pmes | 338bec94162098f05b75bad035417317e1252fd2 | [
"Apache-2.0"
] | 4 | 2018-08-01T11:11:54.000Z | 2022-03-11T23:20:53.000Z | storage/urls.py | Robin8Put/pmes | 338bec94162098f05b75bad035417317e1252fd2 | [
"Apache-2.0"
] | 5 | 2018-06-09T07:42:04.000Z | 2018-12-28T21:15:52.000Z | import tornado.web
import settings
import views
storage_router = tornado.web.Application([
(settings.ENDPOINTS["storage"], views.StorageHandler)
], debug=settings.DEBUG) | 26.714286 | 62 | 0.73262 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.048128 |
1210c5c1adc2120eef651c0b252f64a8824fdac1 | 449 | py | Python | MPNet/AE/data_loader.py | liqi17thu/MPNet | b2dd2fa6037c5a307708de865c10c8ba86856e59 | [
"MIT"
] | null | null | null | MPNet/AE/data_loader.py | liqi17thu/MPNet | b2dd2fa6037c5a307708de865c10c8ba86856e59 | [
"MIT"
] | null | null | null | MPNet/AE/data_loader.py | liqi17thu/MPNet | b2dd2fa6037c5a307708de865c10c8ba86856e59 | [
"MIT"
] | null | null | null | import torch
import torch.utils.data as data
import os
import pickle
import numpy as np
import nltk
from PIL import Image
import os.path
import random
def load_dataset(N=30000, NP=1800):
obstacles = np.zeros((N, 2800), dtype=np.float32)
for i in range(0, N):
temp = np.fromfile('../dataset2/obs_cloud/o... | 22.45 | 73 | 0.668151 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.073497 |
12112f7d0f3727152084ea033286d88e53e8c329 | 2,885 | py | Python | module3-nosql-and-document-oriented-databases/rpg_mongo.py | krsmith/DS-Unit-3-Sprint-2-SQL-and-Databases | 9617528ad5fd23354623926b819f98f9a063d252 | [
"MIT"
] | null | null | null | module3-nosql-and-document-oriented-databases/rpg_mongo.py | krsmith/DS-Unit-3-Sprint-2-SQL-and-Databases | 9617528ad5fd23354623926b819f98f9a063d252 | [
"MIT"
] | null | null | null | module3-nosql-and-document-oriented-databases/rpg_mongo.py | krsmith/DS-Unit-3-Sprint-2-SQL-and-Databases | 9617528ad5fd23354623926b819f98f9a063d252 | [
"MIT"
] | null | null | null | import pymongo
import json
import urllib.request
connection_string = 'mongodb://<USERNAME>:<PASSWORD>@cluster0-shard-00-00-pjgev.mongodb.net:27017,cluster0-shard-00-01-pjgev.mongodb.net:27017,cluster0-shard-00-02-pjgev.mongodb.net:27017/test?ssl=true&replicaSet=Cluster0-shard-0&authSource=admin&retryWrites=true'
clien... | 38.466667 | 264 | 0.744194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,294 | 0.448527 |
121240feaf02f8178ec17474cc615822de1faa36 | 411 | py | Python | twikwak17/phases/__init__.py | shaypal5/gender_augmented_twitter_network | 3a33feb4dfdb9413201d7844a15ecacf21ef9ba0 | [
"MIT"
] | null | null | null | twikwak17/phases/__init__.py | shaypal5/gender_augmented_twitter_network | 3a33feb4dfdb9413201d7844a15ecacf21ef9ba0 | [
"MIT"
] | null | null | null | twikwak17/phases/__init__.py | shaypal5/gender_augmented_twitter_network | 3a33feb4dfdb9413201d7844a15ecacf21ef9ba0 | [
"MIT"
] | null | null | null | """The different phases of the data generation pipeline."""
from .phase1 import ( # noqa: F401
phase1,
)
from .phase2 import ( # noqa: F401
phase2,
)
from .phase3 import ( # noqa: F401
phase3,
)
from .phase4 import ( # noqa: F401
phase4,
)
from .phase5 import ( # noqa: F401
phase5,
)
from .pha... | 17.125 | 59 | 0.620438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.347932 |
121268fc44398fa4d8c57e08b1e5e38fe9e492b2 | 4,458 | py | Python | AlyMoly/tags/templatetags/tags.py | CreceLibre/alymoly | 1420e305f41301b8548dfbbabfc64330b74403be | [
"MIT"
] | null | null | null | AlyMoly/tags/templatetags/tags.py | CreceLibre/alymoly | 1420e305f41301b8548dfbbabfc64330b74403be | [
"MIT"
] | null | null | null | AlyMoly/tags/templatetags/tags.py | CreceLibre/alymoly | 1420e305f41301b8548dfbbabfc64330b74403be | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#-*- encoding: UTF-8 -*-
###############################################
# Todos los derechos reservados a: #
# CreceLibre Consultores en Tecnologías Ltda. #
# #
# ©Milton Inostroza Aguilera #
# minostro@minostro.com ... | 33.268657 | 84 | 0.482952 | 0 | 0 | 0 | 0 | 1,484 | 0.33162 | 0 | 0 | 1,657 | 0.370279 |
12139f49154f34b8c8740a61c1db66b2f3f6df64 | 453 | py | Python | airodb_analyzer/ui/aboutBoxForm.py | jeremydumais/airodb-analyzer | 2056b95891b3543c51758bc586a98b90e54c9670 | [
"MIT"
] | null | null | null | airodb_analyzer/ui/aboutBoxForm.py | jeremydumais/airodb-analyzer | 2056b95891b3543c51758bc586a98b90e54c9670 | [
"MIT"
] | null | null | null | airodb_analyzer/ui/aboutBoxForm.py | jeremydumais/airodb-analyzer | 2056b95891b3543c51758bc586a98b90e54c9670 | [
"MIT"
] | null | null | null | from PyQt5 import QtCore, QtGui, QtWidgets, uic
import qdarkgraystyle
class Ui_AboutBoxForm(QtWidgets.QDialog):
def __init__(self):
super(Ui_AboutBoxForm, self).__init__()
uic.loadUi('airodb_analyzer/designer/aboutBoxForm.ui', self)
self.setStyleSheet(qdarkgraystyle.load_stylesheet())
... | 34.846154 | 68 | 0.717439 | 382 | 0.843267 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.110375 |
1216510f06846187ec2c36e2c66ddc29c2a13123 | 4,263 | py | Python | flashback/thread.py | miroli/flashback | a7ac89a522c09f3b2277fb0cf3a8cf8da95ae3d1 | [
"MIT"
] | 1 | 2017-06-09T13:14:35.000Z | 2017-06-09T13:14:35.000Z | flashback/thread.py | miroli/flashback | a7ac89a522c09f3b2277fb0cf3a8cf8da95ae3d1 | [
"MIT"
] | 1 | 2016-12-27T19:23:34.000Z | 2016-12-27T19:23:34.000Z | flashback/thread.py | miroli/flashback | a7ac89a522c09f3b2277fb0cf3a8cf8da95ae3d1 | [
"MIT"
] | 1 | 2016-12-26T16:25:18.000Z | 2016-12-26T16:25:18.000Z | # -*- coding: utf-8 -*-
import csv
import json
import datetime
import urllib
from collections import Counter
import requests
from bs4 import BeautifulSoup
from .post import Post
class TrashException(Exception):
pass
class AuthException(Exception):
pass
class LoginException(Exception):
pass
class ... | 29.19863 | 75 | 0.594183 | 3,201 | 0.747199 | 0 | 0 | 380 | 0.088702 | 0 | 0 | 1,240 | 0.289449 |
121677d83b1b19d4371425c9caf2a48da8fb17ef | 1,152 | py | Python | utils/print_statistics.py | tianchenji/Multimodal-SVAE | c76b7f8984610e32819510a7a5295124b97460be | [
"MIT"
] | 8 | 2020-11-12T23:43:28.000Z | 2022-01-14T02:01:18.000Z | utils/print_statistics.py | tianchenji/Multimodal-SVAE | c76b7f8984610e32819510a7a5295124b97460be | [
"MIT"
] | null | null | null | utils/print_statistics.py | tianchenji/Multimodal-SVAE | c76b7f8984610e32819510a7a5295124b97460be | [
"MIT"
] | 2 | 2020-11-18T03:35:38.000Z | 2021-10-21T12:38:59.000Z | import numpy as np
import pandas as pd
def print_statistics(correct, confusion_m, total, confusion_m_flag):
if confusion_m_flag == 0:
accuracy = 100 * np.array(correct) / np.array(total)
index = ['normal', 'untvbl obs', 'tvbl obs', 'crash']
columns = ['accuracy']
print('Accuracy of... | 44.307692 | 95 | 0.598958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 283 | 0.24566 |
1219cb36a0069666978851302744932b7773dff4 | 1,185 | py | Python | chaperone/cproc/pt/oneshot.py | msabramo/chaperone | 9ff2c3a5b9c6820f8750320a564ea214042df06f | [
"Apache-2.0"
] | 186 | 2015-07-22T00:08:04.000Z | 2021-11-05T21:51:09.000Z | chaperone/cproc/pt/oneshot.py | msabramo/chaperone | 9ff2c3a5b9c6820f8750320a564ea214042df06f | [
"Apache-2.0"
] | 24 | 2015-07-27T15:30:14.000Z | 2021-09-11T21:19:37.000Z | chaperone/cproc/pt/oneshot.py | msabramo/chaperone | 9ff2c3a5b9c6820f8750320a564ea214042df06f | [
"Apache-2.0"
] | 26 | 2016-01-11T21:02:30.000Z | 2021-08-31T11:09:25.000Z | import asyncio
from chaperone.cproc.subproc import SubProcess
from chaperone.cutil.errors import ChProcessError
class OneshotProcess(SubProcess):
process_timeout = 60.0 # default for a oneshot is 90 seconds
@asyncio.coroutine
def process_started_co(self):
result = yield from self.timed_wait... | 42.321429 | 127 | 0.654852 | 1,071 | 0.903797 | 458 | 0.386498 | 481 | 0.405907 | 0 | 0 | 279 | 0.235443 |
121a3ac8ab5af490306c27ce4f405eed59364158 | 7,994 | py | Python | Flask Application/App.py | kalninandre/Harvard | 0c4e5de4a54873b2f9ce663ee1776a055c7dd3ac | [
"MIT"
] | null | null | null | Flask Application/App.py | kalninandre/Harvard | 0c4e5de4a54873b2f9ce663ee1776a055c7dd3ac | [
"MIT"
] | null | null | null | Flask Application/App.py | kalninandre/Harvard | 0c4e5de4a54873b2f9ce663ee1776a055c7dd3ac | [
"MIT"
] | null | null | null | import os
from cs50 import SQL
from flask import Flask, flash, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.security import check_password_hash, generate_password_hash
from helpers import apology, login_required, lookup, usd
# Configure appl... | 30.166038 | 173 | 0.628596 | 0 | 0 | 0 | 0 | 7,133 | 0.892294 | 0 | 0 | 2,986 | 0.37353 |
121a3b6415753931da04c67d483406265b360d92 | 673,905 | py | Python | pysnmp/BLADETYPE6-NETWORK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/BLADETYPE6-NETWORK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/BLADETYPE6-NETWORK-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module BLADETYPE6-NETWORK-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/BLADETYPE6-NETWORK-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:22:26 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (d... | 154.105877 | 17,458 | 0.729892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83,607 | 0.124063 |
121d25679819deafcd527e85f968ff7009bafc54 | 1,918 | py | Python | setup.py | dnif-archive/fnExchange | d75431b37da3193447b919b4be2e0104266156f1 | [
"Apache-2.0"
] | 1 | 2017-07-19T22:13:54.000Z | 2017-07-19T22:13:54.000Z | setup.py | dnif/fnExchange | d75431b37da3193447b919b4be2e0104266156f1 | [
"Apache-2.0"
] | 1 | 2021-03-25T21:27:21.000Z | 2021-03-25T21:27:21.000Z | setup.py | dnif-archive/fnExchange | d75431b37da3193447b919b4be2e0104266156f1 | [
"Apache-2.0"
] | 1 | 2021-07-07T18:55:19.000Z | 2021-07-07T18:55:19.000Z | """
fnExchange is a scalable, open source API layer (also called an API
"router") that provides a consistent proxy web interface for invoking
various web APIs without the caller having to write separate,
special-purpose code for each of them.
fnExchange is packaged as a command line interface executable
``fnexchange``... | 28.626866 | 69 | 0.663712 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,259 | 0.656413 |
121d57b33c2245662cdd146e4a68652096cf0275 | 3,026 | py | Python | local_traction_control.py | ngrabbs/traction_control | 0289604658d68b144a1867f2c70e3c177cc559fe | [
"MIT"
] | null | null | null | local_traction_control.py | ngrabbs/traction_control | 0289604658d68b144a1867f2c70e3c177cc559fe | [
"MIT"
] | null | null | null | local_traction_control.py | ngrabbs/traction_control | 0289604658d68b144a1867f2c70e3c177cc559fe | [
"MIT"
] | null | null | null | ################################################################################
# Time SPK: Traction retard VSS1 VSS2 VSS1 ms 1 VSS2 ms 1 TC slip * time
# the info for traction control says "slip% X 0.01s"
# Retard 0.0 3.3 6.7 10.0
# slip x time 0.0 6.7 13.3 20.0
# settings were above 50.1 mph and 10% slip... | 35.186047 | 143 | 0.639128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.296235 |
121df04623646121d44d2f0b190065f249970791 | 869 | py | Python | key_value_store/models.py | nahidsaikat/Key-Value-Store | a8e8422727bb4e221b0a78bdb279888cb95cd7ab | [
"MIT"
] | null | null | null | key_value_store/models.py | nahidsaikat/Key-Value-Store | a8e8422727bb4e221b0a78bdb279888cb95cd7ab | [
"MIT"
] | 6 | 2020-06-05T20:17:24.000Z | 2021-06-10T18:05:59.000Z | key_value_store/models.py | nahidsaikat/Key-Value-Store | a8e8422727bb4e221b0a78bdb279888cb95cd7ab | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth import get_user_model
User = get_user_model()
class KeyValue(models.Model):
key = models.CharField(max_length=128)
value = models.TextField()
ttl = models.DecimalField(max_digits=10, decimal_places=6)
created_by = models.ForeignKey(User, related_... | 41.380952 | 119 | 0.747986 | 765 | 0.880322 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.073648 |
121f6860127d88688471d0adde04fc41ca279285 | 6,455 | py | Python | util/Spotify.py | broskh/YouSpotify | fcdfe9edb07085a3a607c07adfa60434088e1da5 | [
"MIT"
] | null | null | null | util/Spotify.py | broskh/YouSpotify | fcdfe9edb07085a3a607c07adfa60434088e1da5 | [
"MIT"
] | null | null | null | util/Spotify.py | broskh/YouSpotify | fcdfe9edb07085a3a607c07adfa60434088e1da5 | [
"MIT"
] | null | null | null | import codecs
import eyed3
import http.client
import http.server
import json
import re
from sys import exit
import taglib
import time
import urllib.error
import urllib.parse
import urllib.request
import webbrowser
from util import log
class Spotify:
# Requires an OAuth token.
def __init__(self, auth):
... | 40.85443 | 115 | 0.612703 | 5,509 | 0.853447 | 0 | 0 | 0 | 0 | 0 | 0 | 2,299 | 0.356158 |
1220a3fd8450e8b80799d200f0692602eebe42b1 | 5,003 | py | Python | L4/4.2/PEP8/L1_PEP8.py | Wittline/Python_scripts | 9d576e8cc9ef08ec7f1bcc8bb6207dae5ccc5734 | [
"MIT"
] | 1 | 2021-08-20T08:25:40.000Z | 2021-08-20T08:25:40.000Z | L4/4.2/PEP8/L1_PEP8.py | Wittline/Python_scripts | 9d576e8cc9ef08ec7f1bcc8bb6207dae5ccc5734 | [
"MIT"
] | null | null | null | L4/4.2/PEP8/L1_PEP8.py | Wittline/Python_scripts | 9d576e8cc9ef08ec7f1bcc8bb6207dae5ccc5734 | [
"MIT"
] | 1 | 2021-08-20T08:25:41.000Z | 2021-08-20T08:25:41.000Z | import math
import unittest
def calculate_sd(d):
m = calculate_mean(d)
v = sum([((i - m) ** 2) for i in d]) / len(d)
return v ** 0.5
def calculate_mean(n):
return sum(n)/len(n)
def calculate_median(d):
d.sort()
n = len(d)
if n % 2 == 0:
m1 = d[n//2]
m... | 31.866242 | 66 | 0.496302 | 3,052 | 0.610034 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.012792 |
1220c122965971e839f7899fd39817e879a3842e | 6,173 | py | Python | foodx_devops_tools/pipeline_config/_paths.py | Food-X-Technologies/foodx_devops_tools | 57d1bf1304d9c9a386eaffa427f9eb36c410c350 | [
"MIT"
] | 3 | 2021-06-23T20:53:43.000Z | 2022-01-26T14:19:43.000Z | foodx_devops_tools/pipeline_config/_paths.py | Food-X-Technologies/foodx_devops_tools | 57d1bf1304d9c9a386eaffa427f9eb36c410c350 | [
"MIT"
] | 33 | 2021-08-09T15:44:51.000Z | 2022-03-03T18:28:02.000Z | foodx_devops_tools/pipeline_config/_paths.py | Food-X-Technologies/foodx_devops_tools | 57d1bf1304d9c9a386eaffa427f9eb36c410c350 | [
"MIT"
] | 1 | 2021-06-23T20:53:52.000Z | 2021-06-23T20:53:52.000Z | # Copyright (c) 2021 Food-X Technologies
#
# This file is part of foodx_devops_tools.
#
# You should have received a copy of the MIT License along with
# foodx_devops_tools. If not, see <https://opensource.org/licenses/MIT>.
"""Configuration file path management."""
import logging
import pathlib
import typing
fr... | 32.151042 | 80 | 0.609266 | 5,477 | 0.887251 | 0 | 0 | 3,739 | 0.605702 | 0 | 0 | 1,654 | 0.267941 |
1221ab57e777c610f8f73a258240f6686a45ed69 | 65 | py | Python | nestor/datasets/__init__.py | usnistgov/nestor-tmp | 6cc35dcf4dac029f94c4bc92783b5dc37bc205ce | [
"RSA-MD"
] | 16 | 2018-07-06T16:36:56.000Z | 2021-12-13T03:02:02.000Z | nestor/datasets/__init__.py | usnistgov/nestor-tmp | 6cc35dcf4dac029f94c4bc92783b5dc37bc205ce | [
"RSA-MD"
] | 46 | 2018-08-06T15:51:35.000Z | 2021-08-02T21:00:51.000Z | nestor/datasets/__init__.py | usnistgov/nestor-tmp | 6cc35dcf4dac029f94c4bc92783b5dc37bc205ce | [
"RSA-MD"
] | 7 | 2020-04-27T18:56:24.000Z | 2021-08-14T02:44:40.000Z | from .base import load_excavators
__all__ = ["load_excavators"]
| 16.25 | 33 | 0.784615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.261538 |
12227937dd3e5390b3fd917fdf9a71333a4de64c | 414 | py | Python | easy/n-repeated element in size 2n array/solution.py | ilya-sokolov/leetcode | ad421111d0d7c5ec5245f33552e94a373b6fd426 | [
"MIT"
] | 4 | 2021-06-03T22:19:13.000Z | 2021-10-05T18:14:12.000Z | easy/n-repeated element in size 2n array/solution.py | ilya-sokolov/leetcode | ad421111d0d7c5ec5245f33552e94a373b6fd426 | [
"MIT"
] | null | null | null | easy/n-repeated element in size 2n array/solution.py | ilya-sokolov/leetcode | ad421111d0d7c5ec5245f33552e94a373b6fd426 | [
"MIT"
] | null | null | null | from typing import List
class Solution:
def repeatedNTimes(self, nums: List[int]) -> int:
for k in range(1, 4):
for i in range(len(nums) - k):
if nums[i] == nums[i + k]:
return nums[i]
return -1
s = Solution()
print(s.repeatedNTimes([1, 2, 3, 3]))
... | 24.352941 | 53 | 0.52657 | 238 | 0.574879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1222c7282f49d3772df08b9a182251c1657c7ca1 | 948 | py | Python | deploy/show_events.py | Acria-Network/Acria-Contracts | 3c8b0e6f453ef531a8464ee0bed3cf5642938633 | [
"MIT"
] | 29 | 2021-03-11T14:30:21.000Z | 2022-02-23T09:15:48.000Z | deploy/show_events.py | harshitvermadu/Acria-Contracts | 3c8b0e6f453ef531a8464ee0bed3cf5642938633 | [
"MIT"
] | 3 | 2021-05-02T13:58:53.000Z | 2022-01-11T19:12:49.000Z | deploy/show_events.py | harshitvermadu/Acria-Contracts | 3c8b0e6f453ef531a8464ee0bed3cf5642938633 | [
"MIT"
] | 8 | 2021-04-08T12:32:26.000Z | 2022-02-23T09:23:56.000Z | import json
from web3 import Web3, HTTPProvider, IPCProvider
from web3.middleware import geth_poa_middleware
import os
from os.path import join, dirname
from dotenv import load_dotenv
load_dotenv(join(dirname(__file__), '.env'))
if(os.environ.get("WEB3_USE_IPC") == False):
web3 = Web3(HTTPProvider(os.environ.get(... | 33.857143 | 93 | 0.778481 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.165612 |
12280aa5408dc93a80e62d7f0a71a4647ad5b226 | 5,088 | py | Python | branches/old/python/ansi-C-generator/generate_source_a4d.py | jeffhammond/spaghetty | e2dbe2dd2621110b899b21dff590906a579e8bf5 | [
"BSD-2-Clause"
] | 1 | 2018-01-05T16:13:08.000Z | 2018-01-05T16:13:08.000Z | branches/old/python/ansi-C-generator/generate_source_a4d.py | jeffhammond/spaghetty | e2dbe2dd2621110b899b21dff590906a579e8bf5 | [
"BSD-2-Clause"
] | null | null | null | branches/old/python/ansi-C-generator/generate_source_a4d.py | jeffhammond/spaghetty | e2dbe2dd2621110b899b21dff590906a579e8bf5 | [
"BSD-2-Clause"
] | null | null | null | import fileinput
import string
import sys
import os
c_compiler = 'icc'
c_link_flags = '-g -O1 -xT -march=core2 -mtune=core2 -align'# -strict-ansi'
c_opt_flags = '-g -O3 -xT -march=core2 -mtune=core2 -funroll-loops -align'# -strict-ansi'
fortran_compiler = 'ifort'
fortran_link_flags = '-g -O1 -xT -march=core2 -mtune=co... | 47.551402 | 128 | 0.584906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,878 | 0.565645 |
122bd4054f1dcb784497724ac66a52927f337457 | 42,079 | py | Python | pybin3/insts.py | avielazari/vlsistuff | 34304dc64437fc849d74addd09963dca587df537 | [
"MIT"
] | 26 | 2018-03-17T18:14:22.000Z | 2022-03-14T07:23:13.000Z | pybin3/insts.py | psumesh/vlsistuff | 1fe64b093d0581d99c7d826b74c31b8655fa0b31 | [
"MIT"
] | 1 | 2019-10-16T10:31:11.000Z | 2019-10-17T04:14:53.000Z | pybin3/insts.py | psumesh/vlsistuff | 1fe64b093d0581d99c7d826b74c31b8655fa0b31 | [
"MIT"
] | 7 | 2018-07-16T07:51:25.000Z | 2022-02-15T14:22:54.000Z | #! /usr/bin/env python3
import os,string,sys,types
instructions={}
inst_id=1
OpcodeWidth=25
Dnops={}
DmanualIfields={}
DmanualOpcodes={}
DnfSpecials = {}
Chip = 'chip'
def get_inst_id():
global inst_id
x = inst_id
inst_id=inst_id+1
return x
class Instruction:
def __init__(self,Name):
self... | 29.080166 | 136 | 0.502887 | 173 | 0.004111 | 0 | 0 | 0 | 0 | 0 | 0 | 9,925 | 0.235866 |
122c1bf9143cdfc0dacdc43325b18177c4f1fcae | 7,598 | py | Python | tests/test_types.py | theLine/LSP | b0c1045862601ee6e6fd3250d3a441d46a6e8d7c | [
"MIT"
] | 753 | 2017-04-21T23:58:56.000Z | 2019-12-21T13:39:08.000Z | tests/test_types.py | theLine/LSP | b0c1045862601ee6e6fd3250d3a441d46a6e8d7c | [
"MIT"
] | 776 | 2019-12-21T19:12:46.000Z | 2022-03-27T16:04:14.000Z | tests/test_types.py | theLine/LSP | b0c1045862601ee6e6fd3250d3a441d46a6e8d7c | [
"MIT"
] | 125 | 2017-08-14T21:10:34.000Z | 2019-12-21T02:34:38.000Z | from LSP.plugin.core.types import diff
from LSP.plugin.core.types import DocumentSelector
from LSP.plugin.core.typing import List
from unittest.mock import MagicMock
import sublime
import unittest
class TestDiff(unittest.TestCase):
def test_add(self) -> None:
added, removed = diff(("a", "b", "c"), ("a", ... | 51.337838 | 116 | 0.655436 | 7,397 | 0.973289 | 0 | 0 | 0 | 0 | 0 | 0 | 2,058 | 0.270789 |
122d72a559d873a88dff7bb5b54a57ab59446d18 | 97 | py | Python | tests/inline_test_resources/5/subA/script.py | thesynman/pybricksdev | 6f34cfb7a5f26628fe3cedae1ce51ee6024f57b9 | [
"MIT"
] | null | null | null | tests/inline_test_resources/5/subA/script.py | thesynman/pybricksdev | 6f34cfb7a5f26628fe3cedae1ce51ee6024f57b9 | [
"MIT"
] | null | null | null | tests/inline_test_resources/5/subA/script.py | thesynman/pybricksdev | 6f34cfb7a5f26628fe3cedae1ce51ee6024f57b9 | [
"MIT"
] | null | null | null | import subB.importA
import importB
my_local = 'ggg'
print(subB.importA.foo)
print(importB.flab)
| 13.857143 | 23 | 0.783505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.051546 |
122df72ef8387bf146c14aba36a7307760cd2cfc | 1,242 | py | Python | demo/py/shap.py | berak/opencv_smallfry | fd8f64980dff0527523791984d6cb3dfcd2bc9bc | [
"BSD-3-Clause"
] | 57 | 2015-02-16T06:43:24.000Z | 2022-03-16T06:21:36.000Z | demo/py/shap.py | berak/opencv_smallfry | fd8f64980dff0527523791984d6cb3dfcd2bc9bc | [
"BSD-3-Clause"
] | 4 | 2016-03-08T09:51:09.000Z | 2021-03-29T10:18:55.000Z | demo/py/shap.py | berak/opencv_smallfry | fd8f64980dff0527523791984d6cb3dfcd2bc9bc | [
"BSD-3-Clause"
] | 27 | 2015-03-28T19:55:34.000Z | 2022-01-09T15:03:15.000Z | import numpy as np
import cv2
im = cv2.imread('py/shap.png')
cv2.imshow('original image',im)
cv2.waitKey()
imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
cv2.imshow('gray image',imgray)
cv2.waitKey()
ret,thresh = cv2.threshold(imgray,80,255,1)
cv2.imshow('thresh image',thresh)
cv2.waitKey()
image, contours, hierarchy... | 24.84 | 91 | 0.624799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.115137 |
12309dafba73623c841ad45a9bf13a6868d28f00 | 182 | py | Python | scripts/dir.py | DEMON1A/EasyShell | d37589b616f844c4d6f01ad594642033463f346b | [
"MIT"
] | 3 | 2021-02-02T15:07:27.000Z | 2021-05-21T10:02:08.000Z | scripts/dir.py | DEMON1A/EasyShell | d37589b616f844c4d6f01ad594642033463f346b | [
"MIT"
] | 7 | 2021-02-03T11:14:04.000Z | 2021-02-18T19:39:25.000Z | scripts/dir.py | DEMON1A/EasyShell | d37589b616f844c4d6f01ad594642033463f346b | [
"MIT"
] | null | null | null | from os import system , name
def Run(Input):
if name == "nt":
# Windows Machine
system('dir')
else:
# Linux/Unix Machine
system('ls') | 20.222222 | 29 | 0.505495 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.285714 |
123220df37e0808414ed2913c0bf8b65b7d004a4 | 5,840 | py | Python | dmlab2d/random_agent.py | jifflund/lab2d | f634c378d428dd19e8b154aa5b590d33f42438bf | [
"Apache-2.0"
] | 377 | 2020-11-16T01:30:06.000Z | 2022-03-24T09:30:00.000Z | dmlab2d/random_agent.py | jifflund/lab2d | f634c378d428dd19e8b154aa5b590d33f42438bf | [
"Apache-2.0"
] | 17 | 2020-11-18T13:57:12.000Z | 2022-03-28T01:20:52.000Z | dmlab2d/random_agent.py | jifflund/lab2d | f634c378d428dd19e8b154aa5b590d33f42438bf | [
"Apache-2.0"
] | 47 | 2020-11-16T12:36:10.000Z | 2022-03-24T17:50:18.000Z | # Copyright 2019 The DMLab2D Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 31.73913 | 80 | 0.682363 | 2,570 | 0.440068 | 0 | 0 | 0 | 0 | 0 | 0 | 1,929 | 0.330308 |
12342b9334c2a4a3508d4c58273cbcad27a8143b | 7,336 | py | Python | KthFoldADXMultiPeriod.py | adamrvfisher/TechnicalAnalysisLibrary | 38a22b2b2b5052623f81edb11b3c5460fc254e45 | [
"Apache-2.0"
] | 3 | 2019-04-26T11:13:14.000Z | 2020-01-10T05:58:16.000Z | KthFoldADXMultiPeriod.py | adamrvfisher/TechnicalAnalysisLibrary | 38a22b2b2b5052623f81edb11b3c5460fc254e45 | [
"Apache-2.0"
] | null | null | null | KthFoldADXMultiPeriod.py | adamrvfisher/TechnicalAnalysisLibrary | 38a22b2b2b5052623f81edb11b3c5460fc254e45 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author: Adam Reinhold Von Fisher - https://www.linkedin.com/in/adamrvfisher/
"""
#pandas_datareader is deprecated, use YahooGrabber
#This is part of a k-th fold optimization tool
#Import modules
#import numpy as np
#from pandas_datareader import data
import pandas as pd
import time as t
... | 33.497717 | 83 | 0.643675 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,871 | 0.391358 |
1235812bfd2f59b3e973436432bfcc56572fe49f | 2,292 | py | Python | python/hw5/logger.py | jeremy24/494-graph-algos | 031a90e46304f405829bad7658965aae215833e1 | [
"MIT"
] | null | null | null | python/hw5/logger.py | jeremy24/494-graph-algos | 031a90e46304f405829bad7658965aae215833e1 | [
"MIT"
] | null | null | null | python/hw5/logger.py | jeremy24/494-graph-algos | 031a90e46304f405829bad7658965aae215833e1 | [
"MIT"
] | null | null | null | from __future__ import print_function
import logging
import sys
import pip
import os
def install(package):
try:
pip.main(["install", package])
except Exception as ex:
raise "Unable to install " + package + ex
try:
install("colorlog")
import colorlog
except Exception as ex:
raise... | 25.186813 | 87 | 0.545375 | 1,111 | 0.484729 | 0 | 0 | 532 | 0.232112 | 0 | 0 | 411 | 0.179319 |
1237cd245f6b8ab6e5c7b528805435a944e1e442 | 18,438 | py | Python | agents.py | fiorenza2/OffCon3 | b5e139e40cee74c4f8d507ed4786fd33ed025157 | [
"MIT"
] | 17 | 2021-01-28T17:54:23.000Z | 2021-12-21T15:22:22.000Z | agents.py | jparkerholder/OffCon3 | b5e139e40cee74c4f8d507ed4786fd33ed025157 | [
"MIT"
] | 1 | 2021-02-15T19:28:05.000Z | 2021-03-14T23:25:04.000Z | agents.py | fiorenza2/OffCon3 | b5e139e40cee74c4f8d507ed4786fd33ed025157 | [
"MIT"
] | 2 | 2021-06-21T12:14:44.000Z | 2021-08-08T10:04:30.000Z | import copy
import numpy as np
import torch
import torch.nn.functional as F
from utils import ReplayPool
from networks import Policy, StochasticPolicy, DoubleQFunc
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class OffPolicyAgent:
def __init__(self, seed, state_dim, action_dim,
... | 42.87907 | 176 | 0.642911 | 18,184 | 0.986224 | 0 | 0 | 694 | 0.03764 | 0 | 0 | 1,485 | 0.08054 |
12383b0b628c1ffcd2fa0c6b1e0b4f97764ed9f1 | 33,002 | py | Python | egg/platform_cpu.py | eschnett/nsimd | 11a58156ac8f1d8b60f1112c41efd9ef91d91c3d | [
"MIT"
] | null | null | null | egg/platform_cpu.py | eschnett/nsimd | 11a58156ac8f1d8b60f1112c41efd9ef91d91c3d | [
"MIT"
] | null | null | null | egg/platform_cpu.py | eschnett/nsimd | 11a58156ac8f1d8b60f1112c41efd9ef91d91c3d | [
"MIT"
] | null | null | null | # Copyright (c) 2019 Agenium Scale
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distr... | 40.050971 | 80 | 0.43158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15,702 | 0.475789 |
1238eb6ce8b77f02945606bdd4829850e210eefb | 1,160 | py | Python | app/types/hitbox.py | Ahmed-Khaled-dev/modern-meerkats | e54304303c77928a2566f4e4c3eefb98135acfc7 | [
"MIT"
] | 1 | 2022-01-07T02:38:08.000Z | 2022-01-07T02:38:08.000Z | app/types/hitbox.py | Ahmed-Khaled-dev/modern-meerkats | e54304303c77928a2566f4e4c3eefb98135acfc7 | [
"MIT"
] | null | null | null | app/types/hitbox.py | Ahmed-Khaled-dev/modern-meerkats | e54304303c77928a2566f4e4c3eefb98135acfc7 | [
"MIT"
] | null | null | null | from typing import Type
from blessed import Terminal
from pydantic import BaseModel
from app import constants as const
class HitBox(BaseModel):
"""A hitbox is any entity that provides some sort of interaction"""
pos_x: int
pos_y: int
content: str
time: int
parent: Type
def __lt__(self,... | 29 | 74 | 0.622414 | 1,036 | 0.893103 | 0 | 0 | 429 | 0.369828 | 0 | 0 | 175 | 0.150862 |
1239594d29a58dedb1b0d505621f1a432d45aa38 | 21,907 | py | Python | stf/dataset/TestSet_avg_mars.py | TencentYoutuResearch/PersonReID-TSF | b56ba8f4b2cbd7569ab15f62474369dd40d3dca7 | [
"Apache-2.0"
] | 19 | 2021-01-07T11:09:46.000Z | 2021-12-31T13:05:02.000Z | stf/dataset/TestSet_avg_mars.py | TencentYoutuResearch/PersonReID-TSF | b56ba8f4b2cbd7569ab15f62474369dd40d3dca7 | [
"Apache-2.0"
] | null | null | null | stf/dataset/TestSet_avg_mars.py | TencentYoutuResearch/PersonReID-TSF | b56ba8f4b2cbd7569ab15f62474369dd40d3dca7 | [
"Apache-2.0"
] | 2 | 2021-01-08T08:30:32.000Z | 2021-02-04T02:18:55.000Z | from __future__ import print_function
import sys
import time
import os.path as osp
from PIL import Image
import cv2
import numpy as np
import random
from collections import defaultdict
from .Dataset import Dataset
from ..utils.utils import measure_time
from ..utils.re_ranking import re_ranking
from ..utils.metric imp... | 38.568662 | 111 | 0.545305 | 21,381 | 0.975989 | 0 | 0 | 0 | 0 | 0 | 0 | 9,548 | 0.435842 |
1239dd44b691726320f6ca0baac8f4ca02b74a2c | 1,793 | py | Python | aiautomation/log/simple_log.py | marvinren/aiautomation | 639f57f502104dd170dca24dd9ff15d80c031e21 | [
"MIT"
] | null | null | null | aiautomation/log/simple_log.py | marvinren/aiautomation | 639f57f502104dd170dca24dd9ff15d80c031e21 | [
"MIT"
] | null | null | null | aiautomation/log/simple_log.py | marvinren/aiautomation | 639f57f502104dd170dca24dd9ff15d80c031e21 | [
"MIT"
] | null | null | null | from aiautomation.log.abstract_log import AbstractLog
from aiautomation.utils.log import get_logger
'''
写入控制台和文件的日志
'''
class SimpleLog(AbstractLog):
def step_log_before(self, oper_type, oper_name, oper_id, parent_oper_id=None, *key, **kwargs):
if oper_type == AbstractLog.STEP_TYPE_COMPONENT:
... | 49.805556 | 144 | 0.654769 | 1,844 | 0.927099 | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 0.241327 |
123ad9a6c56f78cf322240c246b2a2483aa5e071 | 326 | py | Python | config.py | statsu1990/kaggle_google_quest_qa | 4b3569aa6d8b58d2315301a3ad86e6ed1d71c6db | [
"MIT"
] | 3 | 2020-02-13T02:11:02.000Z | 2021-09-05T13:15:34.000Z | config.py | statsu1990/kaggle_google_quest_qa | 4b3569aa6d8b58d2315301a3ad86e6ed1d71c6db | [
"MIT"
] | null | null | null | config.py | statsu1990/kaggle_google_quest_qa | 4b3569aa6d8b58d2315301a3ad86e6ed1d71c6db | [
"MIT"
] | null | null | null |
PATH = '../input/google-quest-challenge/'
#BERT_PRETRAINED_MODEL = 'bert-base-cased'
BERT_PRETRAINED_MODEL = 'bert-base-uncased'
BERT_TOKENIZER_PATH = '../input/transformers/' + BERT_PRETRAINED_MODEL + '/tokenizer/'
BERT_PRETRAINED_MODEL_PATH = '../input/transformers/' + BERT_PRETRAINED_MODEL + '/pretrained_mod... | 40.75 | 101 | 0.751534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.542945 |
123c1170a7e53c991d85e76f7f6ae02014930f9c | 1,875 | py | Python | server/dive_server/training.py | Minious/dive | a3867e524021899c7231e4908452d70d9e30aaed | [
"Apache-2.0"
] | null | null | null | server/dive_server/training.py | Minious/dive | a3867e524021899c7231e4908452d70d9e30aaed | [
"Apache-2.0"
] | null | null | null | server/dive_server/training.py | Minious/dive | a3867e524021899c7231e4908452d70d9e30aaed | [
"Apache-2.0"
] | null | null | null | from girder.models.assetstore import Assetstore
from girder.models.file import File
from girder.models.folder import Folder
from girder.models.item import Item
from girder.models.upload import Upload
from girder.models.user import User
from dive_server.utils import get_annotation_csv_generator
from dive_utils.constant... | 31.779661 | 96 | 0.703467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 429 | 0.2288 |
123e93ac8a310f95ec894f08e807cdf1c4916bbf | 504 | py | Python | stacks/345.Reverse Vowels of a string.py | Rage-ops/Leetcode-Solutions | 48d4ecbb92a0bb7a7bb74a1445b593a67357ac02 | [
"MIT"
] | 1 | 2020-11-23T13:52:11.000Z | 2020-11-23T13:52:11.000Z | stacks/345.Reverse Vowels of a string.py | harsha-sam/Leetcode-Solutions | 48d4ecbb92a0bb7a7bb74a1445b593a67357ac02 | [
"MIT"
] | null | null | null | stacks/345.Reverse Vowels of a string.py | harsha-sam/Leetcode-Solutions | 48d4ecbb92a0bb7a7bb74a1445b593a67357ac02 | [
"MIT"
] | null | null | null | # Easy
# https://leetcode.com/problems/reverse-vowels-of-a-string/
# Time Complexity: O(N)
# Space Complexity: O(N)
class Solution:
def reverseVowels(self, s: str) -> str:
stack = []
for letter in s:
if letter in "aeiouAEIOU":
stack.append(letter)
word = ""
... | 26.526316 | 59 | 0.494048 | 366 | 0.72619 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.27381 |
1240429f9a41acc91fc6ae8891a5c5c03f0644c3 | 1,360 | py | Python | cowsay/lib/cows/awesome_face.py | Ovlic/cowsay_py | 1ee8d11d6d895d7695d57e26003d71ce18379d3b | [
"MIT"
] | null | null | null | cowsay/lib/cows/awesome_face.py | Ovlic/cowsay_py | 1ee8d11d6d895d7695d57e26003d71ce18379d3b | [
"MIT"
] | null | null | null | cowsay/lib/cows/awesome_face.py | Ovlic/cowsay_py | 1ee8d11d6d895d7695d57e26003d71ce18379d3b | [
"MIT"
] | null | null | null | def Awesome_face(thoughts, eyes, eye, tongue):
return f"""
{thoughts}
{thoughts}
\#[/[#:xxxxxx:#[/[\\x
[/\\ &3N W3& \\/[x
[[x\@W W\@x[[\\
/#&N N_#
/#\@ \@#/x
... | 45.333333 | 83 | 0.263235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,304 | 0.958824 |
12447d579d2c9381064673a0bdaf590d555c5609 | 280 | py | Python | pygarlic_validator/__init__.py | bybatkhuu/pygarlic_validator | 8ea42545dbcede3faee553e02a5f7e560f9179c1 | [
"MIT"
] | 1 | 2022-03-31T06:37:43.000Z | 2022-03-31T06:37:43.000Z | pygarlic_validator/__init__.py | bybatkhuu/pygarlic_validator | 8ea42545dbcede3faee553e02a5f7e560f9179c1 | [
"MIT"
] | null | null | null | pygarlic_validator/__init__.py | bybatkhuu/pygarlic_validator | 8ea42545dbcede3faee553e02a5f7e560f9179c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
try:
from pygarlic_validator.validator import validators, checkers, errors
from pygarlic_validator.__version__ import __version__
except ImportError:
from .validator import validators, checkers, errors
from .__version__ import __version__
| 31.111111 | 73 | 0.771429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.082143 |
12480d98d0d64204e46e36015b2e324e7c79f23a | 13,460 | py | Python | spanclient/_endpoint_wrapper.py | illuscio-dev/spanclient-py | 6308d221d179ed0db7c211c7a7ec7e2944e8864c | [
"MIT"
] | null | null | null | spanclient/_endpoint_wrapper.py | illuscio-dev/spanclient-py | 6308d221d179ed0db7c211c7a7ec7e2944e8864c | [
"MIT"
] | null | null | null | spanclient/_endpoint_wrapper.py | illuscio-dev/spanclient-py | 6308d221d179ed0db7c211c7a7ec7e2944e8864c | [
"MIT"
] | null | null | null | import functools
import copy
from dataclasses import dataclass
from marshmallow import Schema
from typing import (
Optional,
MutableMapping,
Any,
Union,
Callable,
Tuple,
Dict,
AsyncGenerator,
Generator,
Sequence,
)
from spantools import MimeType, convert_params_headers, MimeType... | 35.702918 | 88 | 0.6 | 12,853 | 0.954903 | 2,269 | 0.168574 | 12,117 | 0.900223 | 2,849 | 0.211664 | 3,341 | 0.248217 |
12482b1ff107157da56ff15cc84b2172386b95f3 | 3,240 | py | Python | SimpleGP/tests/test_gppg.py | mgraffg/simplegp | 7e4639e3ac76571a4e67669cad6e8e775b3fc345 | [
"Apache-2.0"
] | 2 | 2015-03-18T17:26:20.000Z | 2019-03-18T17:28:16.000Z | SimpleGP/tests/test_gppg.py | mgraffg/simplegp | 7e4639e3ac76571a4e67669cad6e8e775b3fc345 | [
"Apache-2.0"
] | 1 | 2015-04-19T17:02:49.000Z | 2015-07-21T18:48:34.000Z | SimpleGP/tests/test_gppg.py | mgraffg/simplegp | 7e4639e3ac76571a4e67669cad6e8e775b3fc345 | [
"Apache-2.0"
] | null | null | null | import test_classification
import numpy as np
from SimpleGP import SparseGPPG, SparseArray
from SimpleGP.gppg import PGCl
import os
cl = test_classification.cl
X = test_classification.X
def test_gppg():
x = map(lambda x: SparseArray.fromlist(X[x]), range(X.shape[0]))
fname = 'gppg.npy.gz'
gp = SparseGPPG... | 32.079208 | 71 | 0.591975 | 112 | 0.034568 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.023148 |
124879265e549764033ecbb3482f5f663c09d3b1 | 1,911 | py | Python | shift_detector/precalculations/embedding_distance_precalculation.py | hpi-bp1819-naumann/shift-detector | 5d081d05ec084021f11827aa3fd3e167854b2a2a | [
"Apache-2.0"
] | 3 | 2019-06-21T11:41:08.000Z | 2019-10-24T06:41:51.000Z | shift_detector/precalculations/embedding_distance_precalculation.py | hpi-bp1819-naumann/shift-detector | 5d081d05ec084021f11827aa3fd3e167854b2a2a | [
"Apache-2.0"
] | 63 | 2019-05-16T12:09:57.000Z | 2022-02-10T00:21:01.000Z | shift_detector/precalculations/embedding_distance_precalculation.py | hpi-bp1819-naumann/shift-detector | 5d081d05ec084021f11827aa3fd3e167854b2a2a | [
"Apache-2.0"
] | null | null | null | from shift_detector.precalculations.text_embedding_precalculation import TextEmbeddingPrecalculation
from shift_detector.precalculations.store import Store
from shift_detector.precalculations.precalculation import Precalculation
from datawig.utils import random_split
import numpy as np
from numpy.linalg import norm
c... | 38.22 | 116 | 0.672423 | 1,591 | 0.832548 | 0 | 0 | 202 | 0.105704 | 0 | 0 | 206 | 0.107797 |
1249f53ad50c951d95cda4379ed3d03ccaa7e132 | 694 | py | Python | examples/sync_tx.py | tebzzz/archon | 5276e06ccc2e08e034473108a4dd8e36b6ba6078 | [
"MIT"
] | 78 | 2018-09-20T12:50:42.000Z | 2021-12-17T11:44:03.000Z | examples/sync_tx.py | tebzzz/archon | 5276e06ccc2e08e034473108a4dd8e36b6ba6078 | [
"MIT"
] | 49 | 2018-11-18T16:58:27.000Z | 2019-09-29T18:41:51.000Z | examples/sync_tx.py | tebzzz/archon | 5276e06ccc2e08e034473108a4dd8e36b6ba6078 | [
"MIT"
] | 21 | 2018-09-20T11:31:50.000Z | 2021-10-19T17:01:47.000Z | """
"""
import archon.facade as facade
import archon.broker as broker
import archon.exchange.exchanges as exc
import archon.model.models as models
from archon.util import *
from pymongo import MongoClient
import time
import datetime
import math
afacade = facade.Facade()
broker.setClientsFromFile(afacade)
a = brok... | 20.411765 | 61 | 0.682997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.07781 |
124b92d2c7084377d87fc8f02f1de1ed63f57eef | 505 | py | Python | web-scraping/scrapy/items.py | mponweiser/thesis-LDA-in-R | e3be172f97e96c53c3941801e0b913d68621a1a0 | [
"MIT"
] | 4 | 2016-03-14T12:17:16.000Z | 2021-01-27T01:14:30.000Z | web-scraping/scrapy/items.py | mponweiser/thesis-LDA-in-R | e3be172f97e96c53c3941801e0b913d68621a1a0 | [
"MIT"
] | null | null | null | web-scraping/scrapy/items.py | mponweiser/thesis-LDA-in-R | e3be172f97e96c53c3941801e0b913d68621a1a0 | [
"MIT"
] | 3 | 2016-03-14T12:17:24.000Z | 2020-05-05T22:53:53.000Z | # Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/topics/items.html
from scrapy.item import Item, Field
class PnasItem(Item):
# define the fields for your item here like:
category = Field()
category_minor = Field()
authors = Field()
title = Field()
... | 22.954545 | 48 | 0.647525 | 350 | 0.693069 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.308911 |
124c0cc2c66967fcbd74c872c18100920840b8b1 | 792 | py | Python | scripts/format_files.py | paltmey/masterthesis | 43ed469bcd0ad7f0d578277743f9776078a2c3c3 | [
"MIT"
] | null | null | null | scripts/format_files.py | paltmey/masterthesis | 43ed469bcd0ad7f0d578277743f9776078a2c3c3 | [
"MIT"
] | null | null | null | scripts/format_files.py | paltmey/masterthesis | 43ed469bcd0ad7f0d578277743f9776078a2c3c3 | [
"MIT"
] | null | null | null | import subprocess
from argparse import ArgumentParser
def run(src_dir, fast=False):
print(f'Formatting all files under {src_dir} using black.')
cmd = ['black']
if fast:
cmd.append('--fast')
cmd.append(src_dir)
subprocess.run(cmd)
if __name__ == '__main__':
parser = ArgumentParser(des... | 31.68 | 124 | 0.683081 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 0.340909 |
124da53c618c855ab0d8247e2652d534cd052cf4 | 873 | py | Python | eval_empatheticdialogues.py | skywalker023/focused-empathy | 04bdd0cf2fcd7bb4ee204cacb54ce970f426c916 | [
"MIT"
] | 29 | 2021-09-07T06:54:23.000Z | 2022-03-25T12:33:04.000Z | eval_empatheticdialogues.py | skywalker023/focused-empathy | 04bdd0cf2fcd7bb4ee204cacb54ce970f426c916 | [
"MIT"
] | 8 | 2021-09-25T05:39:40.000Z | 2022-03-29T07:04:08.000Z | eval_empatheticdialogues.py | skywalker023/focused-empathy | 04bdd0cf2fcd7bb4ee204cacb54ce970f426c916 | [
"MIT"
] | 2 | 2021-11-07T08:27:38.000Z | 2022-01-09T05:28:41.000Z | import socket
import datetime
import os
import better_exceptions
from from_parlai.eval_model import eval_model
from from_parlai.eval_model import setup_args as eval_setupargs
better_exceptions.hook()
__PATH__ = os.path.abspath(os.path.dirname(__file__))
def setup_args(current_time):
parser = eval_setupargs()
... | 27.28125 | 65 | 0.705613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.152348 |
124edb12bc0b4f9c7c2db07a2a02bfd911251b8c | 315 | py | Python | ares/phenom/__init__.py | jlashner/ares | 6df2b676ded6bd59082a531641cb1dadd475c8a8 | [
"MIT"
] | null | null | null | ares/phenom/__init__.py | jlashner/ares | 6df2b676ded6bd59082a531641cb1dadd475c8a8 | [
"MIT"
] | null | null | null | ares/phenom/__init__.py | jlashner/ares | 6df2b676ded6bd59082a531641cb1dadd475c8a8 | [
"MIT"
] | 1 | 2021-06-16T23:13:56.000Z | 2021-06-16T23:13:56.000Z | from ares.phenom.Tanh21cm import Tanh21cm
from ares.phenom.OpticalDepth import Madau1995
from ares.phenom.Gaussian21cm import Gaussian21cm
from ares.phenom.DustCorrection import DustCorrection
from ares.phenom.Parametric21cm import Parametric21cm
from ares.phenom.ParameterizedQuantity import ParameterizedQuantity
| 45 | 67 | 0.885714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
124f15794814742ded4d3518fa8a3f798acf1841 | 5,408 | py | Python | klsh/utils.py | tonygrey/klsh | 77dbcd2bdd3f04e4d9add136201afda31c964580 | [
"BSD-3-Clause"
] | 28 | 2015-08-21T07:42:52.000Z | 2022-03-23T23:18:14.000Z | klsh/utils.py | tonygrey/klsh | 77dbcd2bdd3f04e4d9add136201afda31c964580 | [
"BSD-3-Clause"
] | 2 | 2016-02-04T12:52:28.000Z | 2016-02-19T07:25:25.000Z | klsh/utils.py | tonygrey/klsh | 77dbcd2bdd3f04e4d9add136201afda31c964580 | [
"BSD-3-Clause"
] | 6 | 2016-02-04T06:18:43.000Z | 2020-05-10T10:42:27.000Z | import itertools
import contextlib
import time
import numbers
import numpy as np
@contextlib.contextmanager
def timeit(fmt=None):
if fmt is None:
fmt = "{0:.2g} sec"
t0 = time.time()
yield
t1 = time.time()
print(fmt.format(t1 - t0))
def create_rng(seed):
"""Turn seed into a np.random... | 29.878453 | 78 | 0.568787 | 0 | 0 | 152 | 0.028107 | 179 | 0.033099 | 0 | 0 | 2,111 | 0.390348 |
12504e8a755643f44ae1e7436164776d1957ad7b | 622 | py | Python | RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectrons_cfi.py | gputtley/cmssw | c1ef8454804e4ebea8b65f59c4a952a6c94fde3b | [
"Apache-2.0"
] | 2 | 2020-01-27T15:21:37.000Z | 2020-05-11T11:13:18.000Z | RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectrons_cfi.py | gputtley/cmssw | c1ef8454804e4ebea8b65f59c4a952a6c94fde3b | [
"Apache-2.0"
] | 8 | 2020-03-20T23:18:36.000Z | 2020-05-27T11:00:06.000Z | RecoEgamma/EgammaElectronProducers/python/lowPtGsfElectrons_cfi.py | gputtley/cmssw | c1ef8454804e4ebea8b65f59c4a952a6c94fde3b | [
"Apache-2.0"
] | 3 | 2017-06-07T15:22:28.000Z | 2019-02-28T20:48:30.000Z | import FWCore.ParameterSet.Config as cms
from RecoEgamma.EgammaElectronProducers.gsfElectrons_cfi import *
lowPtGsfElectrons = ecalDrivenGsfElectrons.clone(
gsfElectronCoresTag = "lowPtGsfElectronCores",
gedElectronMode = True,
)
from Configuration.Eras.Modifier_fastSim_cff import fastSim
fastSim.toModify(lo... | 38.875 | 92 | 0.85209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.080386 |
12538ece1750dfd1837c7ec0ab51c093bdd2eb86 | 1,767 | py | Python | Apps/Black_Jack.py | srp98/Python-Stuff | fade8934718e01a3d30cf9db93515b8f02a20b18 | [
"MIT"
] | null | null | null | Apps/Black_Jack.py | srp98/Python-Stuff | fade8934718e01a3d30cf9db93515b8f02a20b18 | [
"MIT"
] | null | null | null | Apps/Black_Jack.py | srp98/Python-Stuff | fade8934718e01a3d30cf9db93515b8f02a20b18 | [
"MIT"
] | 1 | 2019-10-31T03:16:04.000Z | 2019-10-31T03:16:04.000Z | def hand_total(hand):
total = 0
# Count number of aces and deal with how to apply them at the end
aces = 0
for card in hand:
if card in ['J', 'Q', 'K']:
total += 10
elif card == 'A':
aces += 1
else:
# Convert the number on card to int's
... | 36.061224 | 94 | 0.615167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,227 | 0.694397 |
1254aa54269ff251642c4464e9329b6e5da57064 | 6,281 | py | Python | models/gaussian/gaussian/Gaussian.py | lijun99/altar | 92c2915de3de0c51138d382c8192ead7d6eed1a1 | [
"BSD-3-Clause"
] | 6 | 2019-07-25T08:02:09.000Z | 2022-02-09T04:19:31.000Z | models/gaussian/gaussian/Gaussian.py | lijun99/altar | 92c2915de3de0c51138d382c8192ead7d6eed1a1 | [
"BSD-3-Clause"
] | null | null | null | models/gaussian/gaussian/Gaussian.py | lijun99/altar | 92c2915de3de0c51138d382c8192ead7d6eed1a1 | [
"BSD-3-Clause"
] | null | null | null | # -*- python -*-
# -*- coding: utf-8 -*-
#
# michael a.g. aïvázis <michael.aivazis@para-sim.com>
#
# (c) 2013-2021 parasim inc
# (c) 2010-2021 california institute of technology
# all rights reserved
#
# externals
import math
# the package
import altar
# declaration
class Gaussian(altar.models.bayesian, family="alt... | 30.342995 | 96 | 0.61694 | 6,065 | 0.954367 | 0 | 0 | 3,197 | 0.503068 | 0 | 0 | 3,063 | 0.481983 |
1255698f615a2ee79f73dfb0cbca1d3e028c33b4 | 2,486 | py | Python | prototype/crawling/harvesta/modules/naverfuncs.py | latte-horse/jaehyun | 159963b405b1726717f99df0e4ba62df195aeb94 | [
"MIT"
] | null | null | null | prototype/crawling/harvesta/modules/naverfuncs.py | latte-horse/jaehyun | 159963b405b1726717f99df0e4ba62df195aeb94 | [
"MIT"
] | null | null | null | prototype/crawling/harvesta/modules/naverfuncs.py | latte-horse/jaehyun | 159963b405b1726717f99df0e4ba62df195aeb94 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#naverFuncs.py
import requests
import urllib.request
from bs4 import BeautifulSoup
import re
import json
if __name__ != '__main__':
from . import config
#--------------------------------------------------------------------------
# 실시간 인기 검색어 cnt개 반환
#--------------------------------------... | 33.146667 | 98 | 0.498793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,092 | 0.414579 |
1255cd8f4e10c6adbb9a42935b7c7849e265c1ab | 2,922 | py | Python | Setup.py | uHappyLogic/GaiaDbConsumer | a615b689fc30a3cc9dfd0b581d279899bf7a0f8b | [
"MIT"
] | null | null | null | Setup.py | uHappyLogic/GaiaDbConsumer | a615b689fc30a3cc9dfd0b581d279899bf7a0f8b | [
"MIT"
] | null | null | null | Setup.py | uHappyLogic/GaiaDbConsumer | a615b689fc30a3cc9dfd0b581d279899bf7a0f8b | [
"MIT"
] | null | null | null | #!/usr/bin/python
import argparse
import multiprocessing
from distutils.util import strtobool
def configure_argparse():
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--password", required=True, type=str,
help="database password")
ap.add_argument("-u", "--user", required=True, t... | 32.831461 | 107 | 0.469884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,118 | 0.382615 |
1256c1154db4f6069ce7c07c379eb4a4a4e45448 | 1,893 | py | Python | src/opencmiss/utils/iron/doc/doxygen/exampleprocessor/BaseHTMLProcessor.py | tsalemink/opencmiss.utils | c727d9b922330e3ca38967fa7dbe6480f698f9a2 | [
"Apache-2.0"
] | null | null | null | src/opencmiss/utils/iron/doc/doxygen/exampleprocessor/BaseHTMLProcessor.py | tsalemink/opencmiss.utils | c727d9b922330e3ca38967fa7dbe6480f698f9a2 | [
"Apache-2.0"
] | null | null | null | src/opencmiss/utils/iron/doc/doxygen/exampleprocessor/BaseHTMLProcessor.py | tsalemink/opencmiss.utils | c727d9b922330e3ca38967fa7dbe6480f698f9a2 | [
"Apache-2.0"
] | null | null | null | from sgmllib import SGMLParser
import htmlentitydefs
class BaseHTMLProcessor(SGMLParser):
def reset(self):
# extend (called by SGMLParser.__init__)
self.pieces = []
self.buffer = ""
self.parents = []
SGMLParser.reset(self)
def unknown_starttag(self, tag, attrs):
strattrs = "".join([' %s="%s"' % (key,... | 27.434783 | 73 | 0.624934 | 1,760 | 0.929741 | 0 | 0 | 0 | 0 | 0 | 0 | 292 | 0.154253 |
125988da139b4ae5434a553bc0bdc723e1b0fa96 | 2,708 | py | Python | neo/Network/core/uintbase.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | neo/Network/core/uintbase.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | neo/Network/core/uintbase.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | if TYPE_CHECKING:
pass
class UIntBase(serializable.SerializableMixin):
_data = bytearray()
_hash: int = 0
def __init__(self, num_bytes: int, data: Union[bytes, bytearray] = None) -> None:
super(UIntBase, self).__init__()
if data is None:
self._data = bytearray(num_bytes)
else:
if isinstance(data, bytes)... | 32.626506 | 138 | 0.677253 | 2,684 | 0.991137 | 0 | 0 | 89 | 0.032866 | 0 | 0 | 445 | 0.164328 |
125bc5ecf5acb0a84b6c7d88d2625e8761895e24 | 1,171 | py | Python | _lib/settings.py | bjuggler/lvrobi | f7831b471058414d9ca383ab3729f3f6f26990c9 | [
"MIT"
] | null | null | null | _lib/settings.py | bjuggler/lvrobi | f7831b471058414d9ca383ab3729f3f6f26990c9 | [
"MIT"
] | null | null | null | _lib/settings.py | bjuggler/lvrobi | f7831b471058414d9ca383ab3729f3f6f26990c9 | [
"MIT"
] | null | null | null | from pathlib import Path
PROJECT_DIR = Path(__file__).resolve().parent.parent
DATA_DIR = PROJECT_DIR.joinpath("data")
DATA_ORIGIN_DIR = DATA_DIR.joinpath("_origin")
DATA_AFTER_PREPARATION_DIR = DATA_DIR.joinpath("prepared")
DATA_TRIPS_AS_HEXES_DIR = DATA_DIR.joinpath("trips_as_hexes")
DATA_ORIGIN_AMIENS_DIR = DATA_O... | 39.033333 | 70 | 0.676345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 309 | 0.263877 |
125c09cc6e61d12b4e11b62f59ed5ddecd04ee2c | 231 | py | Python | class2/class2_ex1.py | daveg999/Automation_class | d23652ecae56b790684971dda6e85a1d2367e22b | [
"Apache-2.0"
] | null | null | null | class2/class2_ex1.py | daveg999/Automation_class | d23652ecae56b790684971dda6e85a1d2367e22b | [
"Apache-2.0"
] | null | null | null | class2/class2_ex1.py | daveg999/Automation_class | d23652ecae56b790684971dda6e85a1d2367e22b | [
"Apache-2.0"
] | null | null | null | # Python libraries
# Ex1a
import pysnmp
import paramiko
# Ex1b
dir(pysnmp)
ver = pysnmp.__version__
print "pysnmp version is: %s " % ver
dir(paramiko)
ver = paramiko.__version__
print "paramiko version is: %s " % ver
# Ex1c
| 12.157895 | 38 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.372294 |
125df78648f1c8732c0895fa28745acc66e1387e | 18,971 | py | Python | pyhrt/continuous.py | tansey/hrt | f6d271a34590d073a08f0fc40f40e898f38cdf97 | [
"MIT"
] | 19 | 2018-11-05T19:08:03.000Z | 2022-02-15T03:58:47.000Z | pyhrt/continuous.py | tansey/hrt | f6d271a34590d073a08f0fc40f40e898f38cdf97 | [
"MIT"
] | 1 | 2019-11-20T22:35:54.000Z | 2019-11-20T23:06:51.000Z | pyhrt/continuous.py | tansey/hrt | f6d271a34590d073a08f0fc40f40e898f38cdf97 | [
"MIT"
] | 5 | 2019-04-15T23:17:26.000Z | 2020-04-10T04:18:22.000Z | import os
import sys
import numpy as np
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.optim as optim
from scipy.stats import norm
from scipy.stats.mstats import gmean
from pyhrt.utils import batches, create_folds, logsumexp
###########################################################... | 40.278132 | 132 | 0.600706 | 3,875 | 0.204259 | 0 | 0 | 0 | 0 | 0 | 0 | 4,703 | 0.247905 |
125e4ce6af2e9208f22b7dc0cf1dfcc12caa2872 | 178 | py | Python | src/__init__.py | mldev-ai/ML-Text-Classification | fc3d64aaa56796c4ed22b7842df66d59eb90b8ab | [
"MIT"
] | null | null | null | src/__init__.py | mldev-ai/ML-Text-Classification | fc3d64aaa56796c4ed22b7842df66d59eb90b8ab | [
"MIT"
] | null | null | null | src/__init__.py | mldev-ai/ML-Text-Classification | fc3d64aaa56796c4ed22b7842df66d59eb90b8ab | [
"MIT"
] | null | null | null | from src.FeatureExtractor import Extractor
from src.DataLoader import Dataset
from src.Trainer import TrainClf
from src.Inference import PredictClf
from src.Models import MLModel | 35.6 | 42 | 0.865169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
126250776d5fa66f301a109cdcf5f21aeacb6568 | 3,637 | py | Python | swig/python2/tests/ConcurrentHelpers/SysrepoTester.py | rastislavszabo/sysrepo | dd947fee3b606d354eb7bf50fecef020b943b523 | [
"Apache-2.0"
] | null | null | null | swig/python2/tests/ConcurrentHelpers/SysrepoTester.py | rastislavszabo/sysrepo | dd947fee3b606d354eb7bf50fecef020b943b523 | [
"Apache-2.0"
] | null | null | null | swig/python2/tests/ConcurrentHelpers/SysrepoTester.py | rastislavszabo/sysrepo | dd947fee3b606d354eb7bf50fecef020b943b523 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Rastislav Szabo <raszabo@cisco.com>, Lukas Macko <lmacko@cisco.com>"
__copyright__ = "Copyright 2016, Cisco Systems, Inc."
__license__ = "Apache 2.0"
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compl... | 33.990654 | 115 | 0.670058 | 2,792 | 0.767666 | 0 | 0 | 0 | 0 | 0 | 0 | 795 | 0.218587 |
12638715ec5a1d40ed4f3618c30418ac709c540c | 1,144 | py | Python | ars2/utils.py | Stranger469/ARS2 | b6d62b66997180abe01b676d5359c20daa42b7ad | [
"Apache-2.0"
] | null | null | null | ars2/utils.py | Stranger469/ARS2 | b6d62b66997180abe01b676d5359c20daa42b7ad | [
"Apache-2.0"
] | null | null | null | ars2/utils.py | Stranger469/ARS2 | b6d62b66997180abe01b676d5359c20daa42b7ad | [
"Apache-2.0"
] | null | null | null | import numpy as np
from typing import List
from wrench.basemodel import BaseClassModel
from wrench.dataset import BaseDataset
from sklearn.metrics import f1_score
from snorkel.utils import probs_to_preds
def calc_prior(labels: List, n_class: int):
return [labels.count(i) for i in range(n_class)]
def create_unb... | 33.647059 | 95 | 0.704545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.01048 |
1266741504356d2c9f8af5c310226fc914cad6c6 | 663 | py | Python | homedisplay/info_internet_connection/views.py | ojarva/home-info-display | 873d022308732baff94d0dc2381cf9dc7dce23b7 | [
"BSD-3-Clause"
] | 1 | 2016-11-28T04:35:06.000Z | 2016-11-28T04:35:06.000Z | homedisplay/info_internet_connection/views.py | ojarva/home-info-display | 873d022308732baff94d0dc2381cf9dc7dce23b7 | [
"BSD-3-Clause"
] | 160 | 2015-01-01T20:59:29.000Z | 2016-04-25T13:36:52.000Z | homedisplay/info_internet_connection/views.py | ojarva/home-info-display | 873d022308732baff94d0dc2381cf9dc7dce23b7 | [
"BSD-3-Clause"
] | 1 | 2015-02-25T21:24:01.000Z | 2015-02-25T21:24:01.000Z | from .models import get_latest_serialized
from django.core import serializers
from django.http import HttpResponse
from django.views.generic import View
from django.conf import settings
import json
class GetJson(View):
def get(self, _): # pylint:disable=no-self-use
return HttpResponse(json.dumps(get_late... | 30.136364 | 97 | 0.720965 | 459 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.165913 |
12695b68be997681bd60160adfb2433e6ae6d592 | 363 | py | Python | stko/calculators/results/rmsd_results.py | stevenbennett96/stko | ee340af4fc549d5a2c3e9cba8360661335efe0fd | [
"MIT"
] | null | null | null | stko/calculators/results/rmsd_results.py | stevenbennett96/stko | ee340af4fc549d5a2c3e9cba8360661335efe0fd | [
"MIT"
] | null | null | null | stko/calculators/results/rmsd_results.py | stevenbennett96/stko | ee340af4fc549d5a2c3e9cba8360661335efe0fd | [
"MIT"
] | 2 | 2020-05-08T17:51:25.000Z | 2020-05-11T09:03:24.000Z | """
RMSD Results
=============
#. :class:`.RmsdResults`
Results class for extracting RMSD of two molecules.
"""
from .results import Results
class RmsdResults(Results):
"""
Results class containing RMSD measures.
"""
def __init__(self, generator):
self._value = next(generator)
def ... | 13.961538 | 51 | 0.630854 | 215 | 0.592287 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.46832 |
126a6a2bd916dd0fdaa7da08e0f5d55a3f54c764 | 235 | py | Python | section_5_price_alert/src/models/stores/views.py | sagarnildass/The-complete-python-web-course | d5c21eebeeea466a0fa46c9dfac203c0e5b01433 | [
"MIT"
] | null | null | null | section_5_price_alert/src/models/stores/views.py | sagarnildass/The-complete-python-web-course | d5c21eebeeea466a0fa46c9dfac203c0e5b01433 | [
"MIT"
] | null | null | null | section_5_price_alert/src/models/stores/views.py | sagarnildass/The-complete-python-web-course | d5c21eebeeea466a0fa46c9dfac203c0e5b01433 | [
"MIT"
] | null | null | null | from flask import Blueprint
store_blueprint = Blueprint('stores', __name__)
@store_blueprint.route('/')
def index():
return "This is the stores index"
@store_blueprint.route('store/<string:name>')
def store_page(name):
pass
| 19.583333 | 47 | 0.731915 | 0 | 0 | 0 | 0 | 154 | 0.655319 | 0 | 0 | 58 | 0.246809 |
126ad831faaee91fb0ce16251134cb082143384a | 5,462 | py | Python | program_helper/ast/parser/ast_similarity_checker.py | jajajaqlt/nsg | 1873f2b5e10441110c3c69940ceb4650f9684ac0 | [
"Apache-2.0"
] | 10 | 2021-11-02T18:30:38.000Z | 2022-03-21T06:31:33.000Z | program_helper/ast/parser/ast_similarity_checker.py | rohanmukh/nag | f2c4b8e60a97c58a6a1c549cc8b4753ebfe8a5e3 | [
"Apache-2.0"
] | 2 | 2021-11-05T18:40:42.000Z | 2022-03-30T04:33:08.000Z | program_helper/ast/parser/ast_similarity_checker.py | rohanmukh/nag | f2c4b8e60a97c58a6a1c549cc8b4753ebfe8a5e3 | [
"Apache-2.0"
] | 2 | 2021-11-03T19:14:06.000Z | 2021-11-03T23:47:09.000Z | # Copyright 2017 Rice University
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 36.172185 | 115 | 0.658184 | 4,628 | 0.847309 | 0 | 0 | 250 | 0.045771 | 0 | 0 | 864 | 0.158184 |
126b7d17b9178997cd2b9b067f78352641394f99 | 375 | py | Python | supervised/regression/ridgeRegression.py | SaadChaouki/ml-eli5-cli5 | 625a69edadf4737e41c58193873cf8a54273d7f0 | [
"MIT"
] | 1 | 2021-05-04T19:53:12.000Z | 2021-05-04T19:53:12.000Z | supervised/regression/ridgeRegression.py | SaadChaouki/ml-eli5-cli5 | 625a69edadf4737e41c58193873cf8a54273d7f0 | [
"MIT"
] | null | null | null | supervised/regression/ridgeRegression.py | SaadChaouki/ml-eli5-cli5 | 625a69edadf4737e41c58193873cf8a54273d7f0 | [
"MIT"
] | null | null | null | from supervised.base.baseRegression import BaseRegression
from processing.regularization import L2Regularization
class RidgeRegression(BaseRegression):
def __init__(self, iterations=5000, learning_rate=.01, alpha=1):
super(RidgeRegression, self).__init__(iterations=iterations, learning_rate=learning_rate)... | 41.666667 | 97 | 0.808 | 259 | 0.690667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
126c70cfd4f5dd58b70d6563429b9753c64c44e8 | 941 | py | Python | merpy/__init__.py | AndreLamurias/merpy | eebfa602f07603178d8ae8706e2e7d18b068f7c8 | [
"Apache-2.0"
] | 5 | 2019-06-25T11:00:14.000Z | 2022-03-31T17:31:38.000Z | merpy/__init__.py | AndreLamurias/merpy | eebfa602f07603178d8ae8706e2e7d18b068f7c8 | [
"Apache-2.0"
] | 4 | 2020-01-08T11:05:35.000Z | 2020-11-12T12:32:38.000Z | merpy/__init__.py | AndreLamurias/merpy | eebfa602f07603178d8ae8706e2e7d18b068f7c8 | [
"Apache-2.0"
] | 2 | 2021-03-14T21:24:59.000Z | 2021-10-03T10:53:36.000Z | from .merpy import (
get_entities,
get_similarities,
generate_lexicon,
process_lexicon,
show_lexicons,
get_lexicons,
download_lexicon,
create_lexicon,
create_mappings,
download_mer,
download_lexicons,
mer_path,
get_entities_mp,
create_lexicon_from_file,
delete... | 20.021277 | 31 | 0.68119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 352 | 0.37407 |
126d523eba5326c29ad99290557c03112dd4b6ae | 3,231 | py | Python | sk_pymc3/model/base_model.py | drewblasius/pymc3-sklearn | a46c325179459a2eae394f72c4be186d3e074214 | [
"MIT"
] | 1 | 2020-07-13T12:45:20.000Z | 2020-07-13T12:45:20.000Z | sk_pymc3/model/base_model.py | drewblasius/pymc3-sklearn | a46c325179459a2eae394f72c4be186d3e074214 | [
"MIT"
] | null | null | null | sk_pymc3/model/base_model.py | drewblasius/pymc3-sklearn | a46c325179459a2eae394f72c4be186d3e074214 | [
"MIT"
] | null | null | null | import logging
import numpy as np
import pandas as pd
import pymc3 as pm
import theano as tt
from abc import ABC, abstractmethod
from contextlib import contextmanager
from sklearn.base import BaseEstimator
from typing import List, Optional, Tuple, Union
logger = logging.getLogger(__name__)
class BasePyMC3Model(ABC,... | 29.108108 | 101 | 0.561436 | 2,935 | 0.908387 | 176 | 0.054472 | 780 | 0.241411 | 0 | 0 | 439 | 0.135871 |
126e4a7de56e62d9de7e709a7a92d3187bd9274a | 2,678 | py | Python | ww/website_domain.py | hbradleyiii/ww | 5a537ab6865fcfb43a253cdb8cf2397a53d940a7 | [
"MIT"
] | null | null | null | ww/website_domain.py | hbradleyiii/ww | 5a537ab6865fcfb43a253cdb8cf2397a53d940a7 | [
"MIT"
] | null | null | null | ww/website_domain.py | hbradleyiii/ww | 5a537ab6865fcfb43a253cdb8cf2397a53d940a7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# name: website_domain.py
# author: Harold Bradley III
# email: harold@bradleystudio.net
# created on: 11/03/2015
#
# TODO: add DNS API capabilities
"""
ww.website_domain
~~~~~~~~~~~~~~~~~
A class to describe and ... | 36.189189 | 85 | 0.519417 | 1,681 | 0.627707 | 0 | 0 | 0 | 0 | 0 | 0 | 1,555 | 0.580657 |
126e7487809cb90beb4de4d2e2b2d8e5ed3bbb80 | 275 | py | Python | 03-datatypes/examples/03-floats.py | luxwarp/python-course | d6ec4961ef43bd9d99954cffaea837220638e83f | [
"0BSD"
] | null | null | null | 03-datatypes/examples/03-floats.py | luxwarp/python-course | d6ec4961ef43bd9d99954cffaea837220638e83f | [
"0BSD"
] | null | null | null | 03-datatypes/examples/03-floats.py | luxwarp/python-course | d6ec4961ef43bd9d99954cffaea837220638e83f | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
# Floats (float) is numeric values like 1.0, 100,5 0,478, -1.36
print("1.0 + 0.2 =", 1.0 + 0.2)
print("2.4 - 100.7 =", 2.4 - 100.7)
print("2.7 * 1.5 =", 2.7 * 1.5)
# You can do expressions and mixing integers and floats.
print("1 + 2.5 =", 1 + 2.5)
| 25 | 63 | 0.574545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.701818 |