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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8d0131fd0dd77260df8028fcae8b87ef1c39cda9 | 1,175 | py | Python | tests/integration_tests/test_suassystem_interop_client.py | liyu711/SUAS | 2f6592fc2ab316475eeabe2f4828e5ba5c1a4b0b | [
"MIT"
] | null | null | null | tests/integration_tests/test_suassystem_interop_client.py | liyu711/SUAS | 2f6592fc2ab316475eeabe2f4828e5ba5c1a4b0b | [
"MIT"
] | null | null | null | tests/integration_tests/test_suassystem_interop_client.py | liyu711/SUAS | 2f6592fc2ab316475eeabe2f4828e5ba5c1a4b0b | [
"MIT"
] | null | null | null | import unittest
import interop
from SUASSystem import InteropClientConverter
from SUASSystem import Location
class SDATestCase(unittest.TestCase):
def setUp(self):
self.interop_client = InteropClientConverter()
def test_submit_target(self):
compiled_target_info = {
"latitude" : 38... | 27.97619 | 110 | 0.621277 | 122 | 1,175 | 5.713115 | 0.442623 | 0.07891 | 0.121951 | 0.065997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017794 | 0.282553 | 1,175 | 41 | 111 | 28.658537 | 0.809015 | 0.06383 | 0 | 0 | 0 | 0 | 0.118447 | 0.02233 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.16 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8d061cbc92ba43ecf28dbdbaa3d14137c3609085 | 3,244 | py | Python | xlremed/dataset/docred.py | osainz59/XLREMed | d7fb0c322126676fe95f71ced0014076cb7a9e4d | [
"Apache-2.0"
] | 4 | 2020-10-01T16:58:24.000Z | 2021-11-30T09:29:03.000Z | xlremed/dataset/docred.py | osainz59/XLREMed | d7fb0c322126676fe95f71ced0014076cb7a9e4d | [
"Apache-2.0"
] | null | null | null | xlremed/dataset/docred.py | osainz59/XLREMed | d7fb0c322126676fe95f71ced0014076cb7a9e4d | [
"Apache-2.0"
] | null | null | null | import os
import json
#import fire
from collections import defaultdict
from pprint import pprint
from itertools import product
from .dataset import Dataset
class DocRED(Dataset):
def __init__(self, path):
super(DocRED, self).__init__(name='DocRED')
self.path = path
self._init()
... | 33.791667 | 109 | 0.544698 | 391 | 3,244 | 4.347826 | 0.235294 | 0.037647 | 0.029412 | 0.041176 | 0.208824 | 0.125882 | 0.070588 | 0 | 0 | 0 | 0 | 0.004606 | 0.330764 | 3,244 | 96 | 110 | 33.791667 | 0.778443 | 0.008015 | 0 | 0 | 0 | 0 | 0.069941 | 0.020827 | 0.013514 | 0 | 0 | 0 | 0 | 1 | 0.094595 | false | 0 | 0.081081 | 0 | 0.243243 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8d06a575c43d8f20bdee54e0f28161929a56cf8b | 7,955 | py | Python | swyft/networks/classifier.py | undark-lab/swyft | 50aa524e2f3a2b3d1354543178ff72bc7f055a35 | [
"MIT"
] | 104 | 2020-11-26T09:46:03.000Z | 2022-03-18T06:22:03.000Z | swyft/networks/classifier.py | cweniger/swyft | 2c0ed514622a37e8ec4e406b99a8327ecafb7ab4 | [
"MIT"
] | 83 | 2021-03-02T15:54:26.000Z | 2022-03-10T08:09:05.000Z | swyft/networks/classifier.py | undark-lab/swyft | 50aa524e2f3a2b3d1354543178ff72bc7f055a35 | [
"MIT"
] | 10 | 2021-02-04T14:27:36.000Z | 2022-03-31T17:39:34.000Z | from abc import ABC, abstractmethod
from typing import Dict, Hashable, Tuple
import torch
import torch.nn as nn
import swyft
import swyft.utils
from swyft.networks.channelized import ResidualNetWithChannel
from swyft.networks.standardization import (
OnlineDictStandardizingLayer,
OnlineStandardizingLayer,
)
f... | 34.737991 | 118 | 0.669893 | 890 | 7,955 | 5.710112 | 0.176404 | 0.091499 | 0.03778 | 0.034632 | 0.344943 | 0.297324 | 0.256789 | 0.214286 | 0.153089 | 0.140693 | 0 | 0.004169 | 0.246135 | 7,955 | 228 | 119 | 34.890351 | 0.843255 | 0.067505 | 0 | 0.338983 | 0 | 0.00565 | 0.033826 | 0.003287 | 0 | 0 | 0 | 0 | 0.011299 | 1 | 0.101695 | false | 0.016949 | 0.050847 | 0.011299 | 0.248588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8d09e1e56a5c8747b2ab32acaa6c0733d2870eb2 | 12,386 | py | Python | mstrio/distribution_services/contact/contact.py | czyzq/mstrio-py | b25fd19936b659d503a7eaaa96c8d0b4e118cb7c | [
"Apache-2.0"
] | 1 | 2022-02-15T13:18:04.000Z | 2022-02-15T13:18:04.000Z | mstrio/distribution_services/contact/contact.py | czyzq/mstrio-py | b25fd19936b659d503a7eaaa96c8d0b4e118cb7c | [
"Apache-2.0"
] | null | null | null | mstrio/distribution_services/contact/contact.py | czyzq/mstrio-py | b25fd19936b659d503a7eaaa96c8d0b4e118cb7c | [
"Apache-2.0"
] | null | null | null | from collections import defaultdict
from enum import auto
from typing import Iterable, List, Optional, TYPE_CHECKING, Union
from mstrio import config
from mstrio.api import contacts
from mstrio.distribution_services.contact_group import ContactGroup
from mstrio.distribution_services.device import Device
from mstrio.ut... | 35.797688 | 98 | 0.619086 | 1,321 | 12,386 | 5.636639 | 0.161998 | 0.024174 | 0.017459 | 0.010744 | 0.290089 | 0.213672 | 0.189901 | 0.170293 | 0.1574 | 0.145313 | 0 | 0.000114 | 0.292588 | 12,386 | 345 | 99 | 35.901449 | 0.849692 | 0.244389 | 0 | 0.085 | 0 | 0 | 0.106578 | 0.009381 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0 | 0.06 | 0 | 0.24 | 0.005 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8d0a2cafd43bfa146f864191d3b8493254f59ce2 | 330 | py | Python | sources/t04/t04ej15.py | workready/pythonbasic | 59bd82caf99244f5e711124e1f6f4dec8de22141 | [
"MIT"
] | null | null | null | sources/t04/t04ej15.py | workready/pythonbasic | 59bd82caf99244f5e711124e1f6f4dec8de22141 | [
"MIT"
] | null | null | null | sources/t04/t04ej15.py | workready/pythonbasic | 59bd82caf99244f5e711124e1f6f4dec8de22141 | [
"MIT"
] | null | null | null | # Iterador a partir de una función generadora
def fib():
prev, curr = 0, 1
while True:
yield curr
prev, curr = curr, prev + curr
f = fib()
# Recorremos nuestro iterador, llamando a next(). Dentro del for se llama automáticamente a iter(f)
print(0, end=' ')
for n in range(16):
print(next(f)... | 25.384615 | 99 | 0.630303 | 51 | 330 | 4.078431 | 0.666667 | 0.115385 | 0.115385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020243 | 0.251515 | 330 | 13 | 100 | 25.384615 | 0.821862 | 0.427273 | 0 | 0 | 0 | 0 | 0.010695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.111111 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8d0bafb0014137256cbe170eed5e636723c3e6ff | 1,166 | py | Python | setup.py | snower/sevent | a11e4488e500a4008b07f4391119ad3288a1f07f | [
"MIT"
] | 14 | 2018-02-16T10:33:04.000Z | 2021-09-28T02:04:50.000Z | setup.py | snower/sevent | a11e4488e500a4008b07f4391119ad3288a1f07f | [
"MIT"
] | null | null | null | setup.py | snower/sevent | a11e4488e500a4008b07f4391119ad3288a1f07f | [
"MIT"
] | 1 | 2021-09-26T06:09:38.000Z | 2021-09-26T06:09:38.000Z | #!/usr/bin/env python
import os
import sys
import platform
from setuptools import setup, Extension
if platform.system() != 'Windows' and platform.python_implementation() == "CPython":
ext_modules = [Extension('sevent/cbuffer', sources=['sevent/cbuffer.c'])]
else:
ext_modules = []
if os.path.exist... | 27.116279 | 85 | 0.610635 | 137 | 1,166 | 5.072993 | 0.562044 | 0.129496 | 0.040288 | 0.046043 | 0.083453 | 0.083453 | 0.083453 | 0 | 0 | 0 | 0 | 0.01676 | 0.232419 | 1,166 | 42 | 86 | 27.761905 | 0.759777 | 0.017153 | 0 | 0.135135 | 0 | 0 | 0.242067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.108108 | 0 | 0.108108 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2386c477dd9e245a8edc63bb8d5ff08d06c30f67 | 1,202 | py | Python | core/systems/cart_pole.py | ivandariojr/core | c4dec054a3e80355ed3812d48ca2bba286584a67 | [
"MIT"
] | 6 | 2021-01-26T21:00:24.000Z | 2022-02-28T23:57:50.000Z | core/systems/cart_pole.py | ivandariojr/core | c4dec054a3e80355ed3812d48ca2bba286584a67 | [
"MIT"
] | 15 | 2020-01-28T22:49:18.000Z | 2021-12-14T08:34:39.000Z | core/systems/cart_pole.py | ivandariojr/core | c4dec054a3e80355ed3812d48ca2bba286584a67 | [
"MIT"
] | 6 | 2019-06-07T21:31:20.000Z | 2021-12-13T01:00:02.000Z | from torch import cat, cos, float64, sin, stack, tensor
from torch.nn import Module, Parameter
from core.dynamics import RoboticDynamics
class CartPole(RoboticDynamics, Module):
def __init__(self, m_c, m_p, l, g=9.81):
RoboticDynamics.__init__(self, 2, 1)
Module.__init__(self)
self.params... | 29.317073 | 72 | 0.526622 | 181 | 1,202 | 3.259669 | 0.220994 | 0.044068 | 0.050847 | 0.027119 | 0.288136 | 0.105085 | 0.084746 | 0.084746 | 0.084746 | 0.084746 | 0 | 0.0246 | 0.323627 | 1,202 | 40 | 73 | 30.05 | 0.701107 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.09375 | 0.03125 | 0.46875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2389a78f5b884ed87e17e07d946941aa063ef130 | 2,674 | py | Python | export.py | nicolasm/lastfm-export | 43456161c7083b490d09a1d2638a38c9771e1b3f | [
"MIT"
] | 7 | 2015-11-17T20:40:29.000Z | 2022-02-03T17:55:23.000Z | export.py | nicolasm/lastfm-export | 43456161c7083b490d09a1d2638a38c9771e1b3f | [
"MIT"
] | 2 | 2021-12-30T22:32:11.000Z | 2021-12-30T22:32:12.000Z | export.py | nicolasm/lastfm-export | 43456161c7083b490d09a1d2638a38c9771e1b3f | [
"MIT"
] | 1 | 2020-08-03T09:19:11.000Z | 2020-08-03T09:19:11.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#######################################################################
# This script imports your Last.fm listening history #
# inside a MySQL or Sqlite database. #
# ... | 31.093023 | 89 | 0.613687 | 350 | 2,674 | 4.465714 | 0.337143 | 0.070377 | 0.019194 | 0.029431 | 0.165067 | 0.112604 | 0.075496 | 0.075496 | 0 | 0 | 0 | 0.010572 | 0.221765 | 2,674 | 85 | 90 | 31.458824 | 0.740509 | 0.170157 | 0 | 0.076923 | 0 | 0 | 0.140087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.134615 | 0 | 0.134615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
238ac0373309554dc94b4fa70cb2b5d3ddfb8bbc | 2,617 | py | Python | final_project/code/src/data_attention.py | jschmidtnj/cs584 | d1d4d485d1fac8743cdbbc2996792db249dcf389 | [
"MIT"
] | null | null | null | final_project/code/src/data_attention.py | jschmidtnj/cs584 | d1d4d485d1fac8743cdbbc2996792db249dcf389 | [
"MIT"
] | null | null | null | final_project/code/src/data_attention.py | jschmidtnj/cs584 | d1d4d485d1fac8743cdbbc2996792db249dcf389 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
data file
read in data
"""
from typing import Tuple, Any
import pandas as pd
import tensorflow as tf
from loguru import logger
from utils import file_path_relative
import numpy as np
from transformers import DistilBertTokenizer
NUM_ROWS_TRAIN: int = 15000
TEST_RATIO: float = 0.2
def _run... | 27.260417 | 131 | 0.649599 | 333 | 2,617 | 4.867868 | 0.378378 | 0.02591 | 0.048118 | 0.06169 | 0.226403 | 0.226403 | 0.120296 | 0.120296 | 0.05182 | 0 | 0 | 0.008612 | 0.245701 | 2,617 | 95 | 132 | 27.547368 | 0.812563 | 0.086741 | 0 | 0.16129 | 0 | 0 | 0.097488 | 0.027246 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.112903 | 0 | 0.177419 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2390d6b6f9cc47e9e8fe109965cc9769d5444907 | 2,875 | py | Python | applications/WindEngineeringApplication/tests/test_WindEngineeringApplication.py | clazaro/Kratos | b947b82c90dfcbf13d60511427f85990d36b90be | [
"BSD-4-Clause"
] | null | null | null | applications/WindEngineeringApplication/tests/test_WindEngineeringApplication.py | clazaro/Kratos | b947b82c90dfcbf13d60511427f85990d36b90be | [
"BSD-4-Clause"
] | null | null | null | applications/WindEngineeringApplication/tests/test_WindEngineeringApplication.py | clazaro/Kratos | b947b82c90dfcbf13d60511427f85990d36b90be | [
"BSD-4-Clause"
] | null | null | null | # Kratos imports
import KratosMultiphysics
import KratosMultiphysics.KratosUnittest as UnitTest
from KratosMultiphysics.WindEngineeringApplication.test_suite import SuiteFlags, TestSuite
import run_cpp_tests
# STL imports
import pathlib
class TestLoader(UnitTest.TestLoader):
@property
def suiteClass(self):
... | 31.25 | 103 | 0.681391 | 384 | 2,875 | 4.916667 | 0.317708 | 0.047669 | 0.025424 | 0.027013 | 0.129237 | 0.098517 | 0.069915 | 0.043432 | 0.043432 | 0.043432 | 0 | 0 | 0.249739 | 2,875 | 92 | 104 | 31.25 | 0.87529 | 0.340174 | 0 | 0.046512 | 0 | 0 | 0.011918 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.116279 | 0.023256 | 0.255814 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2392d8b12f4d624279784bb31763afce245b714a | 5,739 | py | Python | src/cadorsfeed/fpr.py | kurtraschke/cadors-parse | 67ac398ef318562dcbd7c60ef7c0d91e7980111a | [
"MIT"
] | 1 | 2018-01-05T12:54:13.000Z | 2018-01-05T12:54:13.000Z | src/cadorsfeed/fpr.py | kurtraschke/cadors-parse | 67ac398ef318562dcbd7c60ef7c0d91e7980111a | [
"MIT"
] | null | null | null | src/cadorsfeed/fpr.py | kurtraschke/cadors-parse | 67ac398ef318562dcbd7c60ef7c0d91e7980111a | [
"MIT"
] | null | null | null | import re
import uuid
from copy import deepcopy
from datetime import datetime
from lxml import etree
from lxml.html import xhtml_to_html
from geoalchemy import WKTSpatialElement
from geolucidate.functions import _cleanup, _convert
from geolucidate.parser import parser_re
from cadorsfeed import db
from cadorsfeed.mo... | 34.781818 | 76 | 0.626067 | 635 | 5,739 | 5.513386 | 0.269291 | 0.071979 | 0.023993 | 0.017138 | 0.228221 | 0.180805 | 0.160811 | 0.067124 | 0.032276 | 0.023993 | 0 | 0.025946 | 0.267991 | 5,739 | 164 | 77 | 34.993902 | 0.807427 | 0.024743 | 0 | 0.188525 | 0 | 0 | 0.132511 | 0.037554 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032787 | false | 0 | 0.131148 | 0 | 0.196721 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2393234a05bc91425b68a33c2343314b4950796f | 1,016 | py | Python | sstcam_sandbox/d191122_dc_tf/generate_pedestal.py | watsonjj/CHECLabPySB | 91330d3a6f510a392f635bd7f4abd2f77871322c | [
"BSD-3-Clause"
] | null | null | null | sstcam_sandbox/d191122_dc_tf/generate_pedestal.py | watsonjj/CHECLabPySB | 91330d3a6f510a392f635bd7f4abd2f77871322c | [
"BSD-3-Clause"
] | null | null | null | sstcam_sandbox/d191122_dc_tf/generate_pedestal.py | watsonjj/CHECLabPySB | 91330d3a6f510a392f635bd7f4abd2f77871322c | [
"BSD-3-Clause"
] | 1 | 2021-03-30T09:46:56.000Z | 2021-03-30T09:46:56.000Z | from sstcam_sandbox import get_checs
from TargetCalibSB.pedestal import PedestalTargetCalib
from TargetCalibSB import get_cell_ids_for_waveform
from CHECLabPy.core.io import TIOReader
from tqdm import tqdm
from glob import glob
def process(path):
pedestal_path = path.replace("_r0.tio", "_ped.tcal")
reader = T... | 29.028571 | 94 | 0.714567 | 139 | 1,016 | 4.920863 | 0.388489 | 0.061404 | 0.052632 | 0.061404 | 0.061404 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015892 | 0.194882 | 1,016 | 34 | 95 | 29.882353 | 0.820293 | 0 | 0 | 0 | 0 | 0 | 0.072835 | 0.030512 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.222222 | 0 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2395f7861779117a4a46333dc411993e7c87448d | 2,723 | py | Python | algorithm/leetcode/2018-03-25.py | mhoonjeon/problemsolving | f47ff41b03ce406b26ea36be602c0aa14ac7ccf1 | [
"MIT"
] | null | null | null | algorithm/leetcode/2018-03-25.py | mhoonjeon/problemsolving | f47ff41b03ce406b26ea36be602c0aa14ac7ccf1 | [
"MIT"
] | null | null | null | algorithm/leetcode/2018-03-25.py | mhoonjeon/problemsolving | f47ff41b03ce406b26ea36be602c0aa14ac7ccf1 | [
"MIT"
] | null | null | null | # 804. Unique Morse Code Words
class Solution:
def __init__(self):
self.morse_code = [".-", "-...", "-.-.", "-..", ".", "..-.", "--.",
"....", "..", ".---", "-.-", ".-..", "--", "-.",
"---", ".--.", "--.-", ".-.", "...", "-", "..-",
... | 27.785714 | 79 | 0.480353 | 302 | 2,723 | 4.278146 | 0.281457 | 0.05031 | 0.06192 | 0.092879 | 0.224458 | 0.157895 | 0.137771 | 0.077399 | 0.077399 | 0.077399 | 0 | 0.0258 | 0.288285 | 2,723 | 97 | 80 | 28.072165 | 0.640867 | 0.128167 | 0 | 0 | 0 | 0 | 0.087621 | 0.0209 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2396d1a675b3960ca8025853ba1b4a50d69159c9 | 19,779 | py | Python | pygna/block_model.py | Gee-3/pygna | 61f2128e918e423fef73d810e0c3af5761933096 | [
"MIT"
] | 32 | 2019-07-11T22:58:14.000Z | 2022-03-04T19:34:55.000Z | pygna/block_model.py | Gee-3/pygna | 61f2128e918e423fef73d810e0c3af5761933096 | [
"MIT"
] | 3 | 2021-05-24T14:03:13.000Z | 2022-01-07T03:47:32.000Z | pygna/block_model.py | Gee-3/pygna | 61f2128e918e423fef73d810e0c3af5761933096 | [
"MIT"
] | 5 | 2019-07-24T09:38:07.000Z | 2021-12-30T09:20:20.000Z | import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import numpy as np
import logging
from pygna import output
from pygna.utils import YamlConfig
import pandas as pd
import random
import string
import seaborn as sns
import pygna.output as output
class BlockModel(object):
... | 36.027322 | 258 | 0.590323 | 2,706 | 19,779 | 4.13969 | 0.13969 | 0.026245 | 0.018211 | 0.006249 | 0.441707 | 0.377076 | 0.342082 | 0.307356 | 0.288074 | 0.273433 | 0 | 0.024883 | 0.278679 | 19,779 | 548 | 259 | 36.093066 | 0.760286 | 0.265433 | 0 | 0.300699 | 0 | 0.01049 | 0.169069 | 0.001568 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059441 | false | 0 | 0.041958 | 0 | 0.108392 | 0.027972 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2398b8c755adf06d3f7f1e5cae4d4aedb1f1899b | 443 | py | Python | class/lect/Lect-17/pd1.py | MikenzieAlasca/F21-1010 | a7c15b8d9bf84f316aa6921f6d8a588c513a22b8 | [
"MIT"
] | 5 | 2021-09-09T21:08:14.000Z | 2021-12-14T02:30:52.000Z | class/lect/Lect-17/pd1.py | MikenzieAlasca/F21-1010 | a7c15b8d9bf84f316aa6921f6d8a588c513a22b8 | [
"MIT"
] | null | null | null | class/lect/Lect-17/pd1.py | MikenzieAlasca/F21-1010 | a7c15b8d9bf84f316aa6921f6d8a588c513a22b8 | [
"MIT"
] | 8 | 2021-09-09T17:46:07.000Z | 2022-02-08T22:41:35.000Z | import pandas as pd
people_dict = {
"weight": pd.Series([145, 182, 191],index=["joan", "bob", "mike"]),
"birthyear": pd.Series([2002, 2000, 1999], index=["bob", "joan", "mike"], name="year"),
"children": pd.Series([1, 2], index=["mike", "bob"]),
"hobby": pd.Series(["Rock Climbing", "S... | 31.642857 | 104 | 0.557562 | 55 | 443 | 4.454545 | 0.581818 | 0.130612 | 0.097959 | 0.130612 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064972 | 0.200903 | 443 | 13 | 105 | 34.076923 | 0.627119 | 0 | 0 | 0 | 0 | 0 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
239ed9095bc55c203b6c4b8328d5c14492d59001 | 6,762 | py | Python | test/phagesExperiment/runTableCases.py | edsaac/bioparticle | 67e191329ef191fc539b290069524b42fbaf7e21 | [
"MIT"
] | null | null | null | test/phagesExperiment/runTableCases.py | edsaac/bioparticle | 67e191329ef191fc539b290069524b42fbaf7e21 | [
"MIT"
] | 1 | 2020-09-25T23:31:21.000Z | 2020-09-25T23:31:21.000Z | test/phagesExperiment/runTableCases.py | edsaac/VirusTransport_RxSandbox | 67e191329ef191fc539b290069524b42fbaf7e21 | [
"MIT"
] | 1 | 2021-09-30T05:00:58.000Z | 2021-09-30T05:00:58.000Z | ###############################################################
# _ _ _ _ _
# | |__ (_) ___ _ __ __ _ _ __| |_(_) ___| | ___
# | '_ \| |/ _ \| '_ \ / _` | '__| __| |/ __| |/ _ \
# | |_) | | (_) | |_) | (_| | | | |_| | (__| | __/
# |_.__/|_|\___/| .__/ \__,_|_| \__|_|\___|_|\___... | 34.676923 | 106 | 0.603963 | 831 | 6,762 | 4.761733 | 0.302046 | 0.044478 | 0.047258 | 0.056609 | 0.176649 | 0.115744 | 0.065706 | 0.047511 | 0.047511 | 0.034369 | 0 | 0.025119 | 0.164005 | 6,762 | 195 | 107 | 34.676923 | 0.674863 | 0.213842 | 0 | 0.092437 | 0 | 0 | 0.237549 | 0.018972 | 0.016807 | 0 | 0 | 0 | 0 | 1 | 0.02521 | false | 0 | 0.042017 | 0.016807 | 0.084034 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
239f83a7c0d314a200223629c25572a463600e23 | 593 | py | Python | mongo_list_temp.py | ScottStanton/mqtt_temp_mongo_web | 76d59910f132fea9724b86aebfcef04b61789b8d | [
"Unlicense"
] | null | null | null | mongo_list_temp.py | ScottStanton/mqtt_temp_mongo_web | 76d59910f132fea9724b86aebfcef04b61789b8d | [
"Unlicense"
] | null | null | null | mongo_list_temp.py | ScottStanton/mqtt_temp_mongo_web | 76d59910f132fea9724b86aebfcef04b61789b8d | [
"Unlicense"
] | null | null | null | #!/usr/bin/python3
#
# This software is covered by The Unlicense license
#
import os, pymongo, sys
def print_mongo():
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["cpu_temperature"]
mycol = mydb["temps"]
#print(myclient.list_database_names())
for x in mycol.find()... | 17.969697 | 64 | 0.60371 | 67 | 593 | 5.134328 | 0.686567 | 0.05814 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018476 | 0.269815 | 593 | 32 | 65 | 18.53125 | 0.775982 | 0.175379 | 0 | 0.105263 | 0 | 0 | 0.134298 | 0.053719 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 0 | 0.157895 | 0.210526 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23a2a97bb6db12d817c114dd0b13665cae319c12 | 2,185 | py | Python | second/pytorch/models/fusion.py | RickOnEarth/pointpillars_based_CLOCs | c6d4576a151540200dac2354b00dc4ecce6ee72d | [
"MIT"
] | 2 | 2022-01-05T08:41:38.000Z | 2022-02-14T01:30:08.000Z | second/pytorch/models/fusion.py | RickOnEarth/pointpillars_based_CLOCs | c6d4576a151540200dac2354b00dc4ecce6ee72d | [
"MIT"
] | 1 | 2022-03-28T03:23:36.000Z | 2022-03-28T03:23:36.000Z | second/pytorch/models/fusion.py | RickOnEarth/pointpillars_based_CLOCs | c6d4576a151540200dac2354b00dc4ecce6ee72d | [
"MIT"
] | 2 | 2022-01-07T05:56:43.000Z | 2022-02-16T13:26:13.000Z | import time
import torch
from torch import nn
from torch.nn import functional as F
#import spconv
import torchplus
from torchplus.nn import Empty, GroupNorm, Sequential
from torchplus.ops.array_ops import gather_nd, scatter_nd
from torchplus.tools import change_default_args
import sys
if '/opt/ros/kinetic/lib/python2.... | 33.106061 | 92 | 0.556522 | 304 | 2,185 | 3.832237 | 0.305921 | 0.054936 | 0.036052 | 0.046352 | 0.271245 | 0.245494 | 0.245494 | 0.180258 | 0.118455 | 0.118455 | 0 | 0.099277 | 0.30389 | 2,185 | 65 | 93 | 33.615385 | 0.666667 | 0.08238 | 0 | 0.206897 | 0 | 0 | 0.050025 | 0.044022 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.155172 | 0 | 0.224138 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23a456677b9384e5a17f6de8dcdc1e93e2a745f9 | 3,001 | py | Python | pdf_lines_gluer.py | serge-sotnyk/pdf-lines-gluer | b44284a28e4bce377d683ab8d6f820e704c630cb | [
"MIT"
] | 1 | 2021-04-16T13:05:20.000Z | 2021-04-16T13:05:20.000Z | pdf_lines_gluer.py | serge-sotnyk/pdf-lines-gluer | b44284a28e4bce377d683ab8d6f820e704c630cb | [
"MIT"
] | null | null | null | pdf_lines_gluer.py | serge-sotnyk/pdf-lines-gluer | b44284a28e4bce377d683ab8d6f820e704c630cb | [
"MIT"
] | 2 | 2019-06-24T06:45:46.000Z | 2019-06-28T19:43:20.000Z | import string
from typing import List, Dict
# inject code here #
def _mean_in_window(lines, i) -> float:
start = max(i - 5, 0)
finish = min(i + 5, len(lines) - 1)
sm, count = 0, 0
for n in range(start, finish):
sm += len(lines[n]) - 1 # minus one-char prefix
count += 1
return sm /... | 26.557522 | 97 | 0.55115 | 410 | 3,001 | 3.853659 | 0.241463 | 0.028481 | 0.032911 | 0.034177 | 0.134177 | 0.08481 | 0.039241 | 0.039241 | 0 | 0 | 0 | 0.021184 | 0.307897 | 3,001 | 112 | 98 | 26.794643 | 0.739528 | 0.044985 | 0 | 0.086957 | 0 | 0 | 0.033602 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076087 | false | 0 | 0.021739 | 0.01087 | 0.184783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23a5398ab784fc5aa194816a75732cc159a8849f | 1,241 | py | Python | backend/thing/urls.py | thuong-lino/thing | e45d8f197896f4ab9b52dec0a85169396fff629a | [
"MIT"
] | null | null | null | backend/thing/urls.py | thuong-lino/thing | e45d8f197896f4ab9b52dec0a85169396fff629a | [
"MIT"
] | null | null | null | backend/thing/urls.py | thuong-lino/thing | e45d8f197896f4ab9b52dec0a85169396fff629a | [
"MIT"
] | null | null | null | from django.conf.urls import include
from django.urls import path
from django.contrib import admin
from users.views import FacebookLogin
import django_js_reverse.views
from rest_framework.routers import DefaultRouter
from common.routes import routes as common_routes
router = DefaultRouter()
routes = common_routes
fo... | 37.606061 | 85 | 0.706688 | 155 | 1,241 | 5.567742 | 0.290323 | 0.04635 | 0.041715 | 0.05562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.124093 | 1,241 | 32 | 86 | 38.78125 | 0.793928 | 0 | 0 | 0 | 0 | 0 | 0.295729 | 0.112812 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.269231 | 0 | 0.269231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23a5e45f9981098530b74e9239812e4a0d27fb21 | 7,302 | py | Python | core/dataset/data_loader.py | thuzhaowang/idn-solver | 7da29ce0b0bd7e76023e1cae56e3d186b324a394 | [
"MIT"
] | 22 | 2021-10-11T02:31:52.000Z | 2022-02-23T08:06:14.000Z | core/dataset/data_loader.py | xubin1994/idn-solver | 6b5dcfd94f35cc118c5dee0f98401e4848e670e3 | [
"MIT"
] | 4 | 2021-12-02T02:36:30.000Z | 2022-03-16T01:04:47.000Z | core/dataset/data_loader.py | xubin1994/idn-solver | 6b5dcfd94f35cc118c5dee0f98401e4848e670e3 | [
"MIT"
] | 4 | 2022-01-20T03:12:23.000Z | 2022-03-16T00:08:54.000Z | import numpy as np
from path import Path
import random
import pickle
import torch
import os
import cv2
def load_as_float(path):
"""Loads image"""
im = cv2.imread(path)
im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB).astype(np.float32)
return im
class SequenceFolder(torch.utils.data.Dataset)... | 38.840426 | 161 | 0.65037 | 1,129 | 7,302 | 3.991143 | 0.139947 | 0.077674 | 0.09099 | 0.036618 | 0.43431 | 0.389925 | 0.388815 | 0.353085 | 0.3249 | 0.303373 | 0 | 0.021527 | 0.198439 | 7,302 | 187 | 162 | 39.048128 | 0.748334 | 0.033826 | 0 | 0.253333 | 0 | 0 | 0.064954 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.046667 | 0.006667 | 0.106667 | 0.013333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23a7e7e53ed3f920173ee73d17e3e8afad1d765f | 3,813 | py | Python | glue.py | mkechagia/android-survey | a1649c0fb9476fcc9fdf586ecde9da9a9a0138aa | [
"Apache-2.0"
] | 1 | 2022-01-26T08:14:24.000Z | 2022-01-26T08:14:24.000Z | glue.py | mkechagia/android-survey-tool | a1649c0fb9476fcc9fdf586ecde9da9a9a0138aa | [
"Apache-2.0"
] | null | null | null | glue.py | mkechagia/android-survey-tool | a1649c0fb9476fcc9fdf586ecde9da9a9a0138aa | [
"Apache-2.0"
] | null | null | null | import re
import copy
from collections import defaultdict
from string import Template
# initialize the dictionary for the methods with checked exceptions such as {fake method: real method}
method_dict_checked = {'deleteRecord' : 'delete', \
'editText' : 'setText_new', \
'insertData' : 'insert_new', \
'setLayout... | 34.981651 | 104 | 0.710464 | 528 | 3,813 | 4.979167 | 0.276515 | 0.041841 | 0.018258 | 0.019399 | 0.170407 | 0.141499 | 0.120959 | 0.065424 | 0.065424 | 0.03043 | 0 | 0.003427 | 0.158143 | 3,813 | 108 | 105 | 35.305556 | 0.815576 | 0.337792 | 0 | 0.086957 | 0 | 0 | 0.227747 | 0.043304 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072464 | false | 0 | 0.057971 | 0 | 0.217391 | 0.028986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23abc12980cb0a7128b692a9097ad4b745fb655b | 756 | py | Python | python/torch_helpers/trace2jit.py | zhaohb/Forward | 08c7622090ce0cdd32fe5d0b462cb63258ce0a75 | [
"BSD-3-Clause"
] | 1 | 2021-03-24T11:49:35.000Z | 2021-03-24T11:49:35.000Z | python/torch_helpers/trace2jit.py | zhaohb/Forward | 08c7622090ce0cdd32fe5d0b462cb63258ce0a75 | [
"BSD-3-Clause"
] | null | null | null | python/torch_helpers/trace2jit.py | zhaohb/Forward | 08c7622090ce0cdd32fe5d0b462cb63258ce0a75 | [
"BSD-3-Clause"
] | null | null | null | import torch
import torchvision.models as models
'''
Description:
convert torch module to JIT TracedModule.
功能说明:
将torch 模型转化为 JIT TracedModule。
'''
def TracedModelFactory(file_name, traced_model):
traced_model.save(file_name)
traced_model = torch.jit.load(file_name)
print("filename : ", file_name... | 28 | 81 | 0.718254 | 100 | 756 | 5.18 | 0.44 | 0.127413 | 0.081081 | 0.104247 | 0.088803 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016181 | 0.18254 | 756 | 26 | 82 | 29.076923 | 0.822006 | 0.124339 | 0 | 0 | 0 | 0 | 0.059891 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.142857 | 0 | 0.214286 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ad1135866d4f8277494a12a0ed3be2f1311aa3 | 9,739 | py | Python | CppSimShared/Python/cppsimdata.py | silicon-vlsi-org/eda-sue2Plus | 83a2afa9c80308d5afe07a3fa0214d8412addb6d | [
"MIT"
] | 1 | 2021-05-30T13:27:33.000Z | 2021-05-30T13:27:33.000Z | CppSimShared/Python/cppsimdata.py | silicon-vlsi-org/eda-sue2Plus | 83a2afa9c80308d5afe07a3fa0214d8412addb6d | [
"MIT"
] | null | null | null | CppSimShared/Python/cppsimdata.py | silicon-vlsi-org/eda-sue2Plus | 83a2afa9c80308d5afe07a3fa0214d8412addb6d | [
"MIT"
] | null | null | null | # cppsimdata.py
# written by Michael H. Perrott
# with minor modifications by Doug Pastorello to work with both Python 2.7 and Python 3.4
# available at www.cppsim.com as part of the CppSim package
# Copyright (c) 2013-2017 by Michael H. Perrott
# This file is disributed under the MIT license (see Copying file)
impo... | 38.800797 | 149 | 0.629736 | 1,305 | 9,739 | 4.500383 | 0.201533 | 0.039333 | 0.038311 | 0.024519 | 0.530734 | 0.426698 | 0.340712 | 0.298655 | 0.275498 | 0.228163 | 0 | 0.018712 | 0.231749 | 9,739 | 250 | 150 | 38.956 | 0.766239 | 0.069822 | 0 | 0.401914 | 0 | 0 | 0.177355 | 0.045776 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.038278 | 0.019139 | 0.138756 | 0.172249 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23b3590bb9d68aac5032da0773011d5e1741a6b6 | 5,977 | py | Python | notify/handlers.py | marzocchi/iterm-notify | 5e587213ca89c0361a39c785fa4560fda275052f | [
"MIT"
] | 28 | 2019-12-01T21:45:28.000Z | 2021-05-05T17:46:09.000Z | notify/handlers.py | marzocchi/iterm-notify | 5e587213ca89c0361a39c785fa4560fda275052f | [
"MIT"
] | null | null | null | notify/handlers.py | marzocchi/iterm-notify | 5e587213ca89c0361a39c785fa4560fda275052f | [
"MIT"
] | 2 | 2020-08-04T12:55:04.000Z | 2020-12-20T22:23:47.000Z | import logging
from datetime import datetime
from typing import List
from notify.backends import BackendFactory
from notify.commands import Command
from notify.config import Config, Stack
from notify.notifications import Factory, Notification
from notify.strategies import StrategyFactory
class MaintainConfig:
de... | 42.091549 | 115 | 0.736657 | 690 | 5,977 | 5.871014 | 0.108696 | 0.075537 | 0.097754 | 0.033325 | 0.408047 | 0.350531 | 0.269563 | 0.235991 | 0.135769 | 0.135769 | 0 | 0.000205 | 0.185545 | 5,977 | 141 | 116 | 42.390071 | 0.831964 | 0 | 0 | 0.144231 | 0 | 0 | 0.005187 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.076923 | 0 | 0.298077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ba2ecb3b446799d3bd04447ada1a6c88421c82 | 8,113 | py | Python | sdk/python/feast/loaders/ingest.py | wzpy/feast | 06fe09b7047fe370cbf63555cec1ba820f1e7267 | [
"Apache-2.0"
] | 1 | 2019-12-12T13:21:56.000Z | 2019-12-12T13:21:56.000Z | sdk/python/feast/loaders/ingest.py | wzpy/feast | 06fe09b7047fe370cbf63555cec1ba820f1e7267 | [
"Apache-2.0"
] | null | null | null | sdk/python/feast/loaders/ingest.py | wzpy/feast | 06fe09b7047fe370cbf63555cec1ba820f1e7267 | [
"Apache-2.0"
] | null | null | null | import logging
import multiprocessing
import os
import time
from functools import partial
from multiprocessing import Process, Queue, Pool
from typing import Iterable
import pandas as pd
import pyarrow as pa
from feast.feature_set import FeatureSet
from feast.type_map import convert_dict_to_proto_values
from feast.type... | 31.815686 | 103 | 0.646986 | 1,013 | 8,113 | 4.987167 | 0.260612 | 0.037609 | 0.020784 | 0.021378 | 0.169438 | 0.114212 | 0.089667 | 0.061758 | 0.061758 | 0.061758 | 0 | 0.006695 | 0.282017 | 8,113 | 254 | 104 | 31.940945 | 0.860601 | 0.288796 | 0 | 0.130719 | 0 | 0 | 0.128951 | 0.03143 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.098039 | 0 | 0.143791 | 0.013072 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23bb7ae2de638bcc64e1ae2469bf78db888b942c | 389 | py | Python | 1stRound/Easy/389 Find the Difference/Counter.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | 2 | 2020-04-24T18:36:52.000Z | 2020-04-25T00:15:57.000Z | 1stRound/Easy/389 Find the Difference/Counter.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | 1stRound/Easy/389 Find the Difference/Counter.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | import collections
class Solution:
def findTheDifference(self, s, t):
"""
:type s: str
:type t: str
:rtype: str
"""
scount, tcount = collections.Counter(s), collections.Counter(t)
for t in tcount:
if tcount[t] > scount[t]:
return t
... | 24.3125 | 71 | 0.539846 | 47 | 389 | 4.468085 | 0.489362 | 0.019048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.33419 | 389 | 16 | 72 | 24.3125 | 0.810811 | 0.095116 | 0 | 0 | 0 | 0 | 0.028754 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.363636 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23bd05e550888fff887e56ad22915b9704444c37 | 4,136 | py | Python | submission.py | Amar1729/Liked-Saved-Image-Downloader | 48c17d8cb0cdce3bf7ebab16729510be11f51013 | [
"MIT"
] | 60 | 2015-12-04T20:11:23.000Z | 2019-03-17T20:00:56.000Z | submission.py | Amar1729/Liked-Saved-Image-Downloader | 48c17d8cb0cdce3bf7ebab16729510be11f51013 | [
"MIT"
] | 68 | 2019-03-22T01:07:32.000Z | 2021-07-02T04:48:57.000Z | submission.py | Amar1729/Liked-Saved-Image-Downloader | 48c17d8cb0cdce3bf7ebab16729510be11f51013 | [
"MIT"
] | 19 | 2015-09-15T17:30:29.000Z | 2019-03-17T18:05:30.000Z | # -*- coding: utf-8 -*-
import pickle
import os
# third-party imports
import jsonpickle
class Submission:
def __init__(self):
# Source is either Tumblr or Reddit
self.source = u''
self.title = u''
self.author = u''
self.subreddit = u''
self.subredditTitle = u''
... | 30.637037 | 100 | 0.604691 | 445 | 4,136 | 5.597753 | 0.238202 | 0.012846 | 0.016861 | 0.00843 | 0.17503 | 0.077479 | 0 | 0 | 0 | 0 | 0 | 0.005402 | 0.23912 | 4,136 | 134 | 101 | 30.865672 | 0.786146 | 0.027321 | 0 | 0.11 | 0 | 0 | 0.144102 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.03 | 0.01 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23be77dcebe4a2a83f67827319e9327e25df75de | 1,699 | py | Python | exp/noise_features/models.py | WilliamCCHuang/GraphLIME | 0f89bd67865c0b4b5a93becbc03273e55c15fc68 | [
"MIT"
] | 38 | 2020-06-07T14:44:11.000Z | 2022-03-08T06:19:49.000Z | exp/noise_features/models.py | WilliamCCHuang/GraphLIME | 0f89bd67865c0b4b5a93becbc03273e55c15fc68 | [
"MIT"
] | 9 | 2020-10-22T02:38:01.000Z | 2022-03-15T09:53:30.000Z | exp/noise_features/models.py | WilliamCCHuang/GraphLIME | 0f89bd67865c0b4b5a93becbc03273e55c15fc68 | [
"MIT"
] | 6 | 2021-03-04T21:32:34.000Z | 2021-12-24T05:58:35.000Z | import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import GCNConv, GATConv
class GCN(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim, dropout=0.5):
super(GCN, self).__init__()
self.dropout = dropout
self.conv1 = GCNConv(input_dim, hidd... | 33.313725 | 116 | 0.575633 | 226 | 1,699 | 4.070796 | 0.221239 | 0.058696 | 0.065217 | 0.047826 | 0.43913 | 0.43913 | 0.43913 | 0.368478 | 0.326087 | 0.326087 | 0 | 0.02 | 0.323131 | 1,699 | 50 | 117 | 33.98 | 0.78 | 0 | 0 | 0.324324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.081081 | 0 | 0.297297 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c09d19f8336af168a12e16ec8d400bf72a904d | 7,740 | py | Python | nscl/nn/scene_graph/scene_graph.py | OolongQian/NSCL-PyTorch-Release | 4cf0a633ceeaa9d221d66e066ef7892c04cdf9eb | [
"MIT"
] | null | null | null | nscl/nn/scene_graph/scene_graph.py | OolongQian/NSCL-PyTorch-Release | 4cf0a633ceeaa9d221d66e066ef7892c04cdf9eb | [
"MIT"
] | null | null | null | nscl/nn/scene_graph/scene_graph.py | OolongQian/NSCL-PyTorch-Release | 4cf0a633ceeaa9d221d66e066ef7892c04cdf9eb | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : scene_graph.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 07/19/2018
#
# This file is part of NSCL-PyTorch.
# Distributed under terms of the MIT license.
"""
Scene Graph generation.
"""
import os
import torch
import torch.nn as nn
impo... | 47.484663 | 120 | 0.588889 | 1,004 | 7,740 | 4.318725 | 0.204183 | 0.017297 | 0.02583 | 0.018681 | 0.410055 | 0.354244 | 0.29036 | 0.259917 | 0.218404 | 0.218404 | 0 | 0.030966 | 0.30323 | 7,740 | 162 | 121 | 47.777778 | 0.773039 | 0.108786 | 0 | 0.148148 | 0 | 0 | 0.004169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0.018519 | 0.157407 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c12f3233981fe353e6b9f38266cba0ebd64146 | 789 | py | Python | roomcreator.py | ajaxalex5/MidYearProject | a399347cd8cb4b24cf1aeac4e11269a0a2109ddf | [
"MIT"
] | null | null | null | roomcreator.py | ajaxalex5/MidYearProject | a399347cd8cb4b24cf1aeac4e11269a0a2109ddf | [
"MIT"
] | null | null | null | roomcreator.py | ajaxalex5/MidYearProject | a399347cd8cb4b24cf1aeac4e11269a0a2109ddf | [
"MIT"
] | null | null | null | class Room (object):
def __init__(self, name, xl, yl, layout):
self.name = str(name)
self.xl = int(xl)
self.yl = int(yl)
self.layout = layout
def load_room_file(file):
roomfile = open(file, "r")
roomlist = []
linelist = []
for line in roomfile:
linelist.ap... | 24.65625 | 94 | 0.564005 | 98 | 789 | 4.479592 | 0.367347 | 0.125285 | 0.082005 | 0.050114 | 0.08656 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023214 | 0.290241 | 789 | 32 | 95 | 24.65625 | 0.760714 | 0 | 0 | 0 | 0 | 0 | 0.006329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c2c0ad760da305cb104343e55a702bf05d28ce | 630 | py | Python | nomad/tests/core/test_shortest_path_solver.py | romilbhardwaj/nomad | c6a8289872bfd07d1aa0b913f0aee7a2fccd5bf1 | [
"MIT"
] | 2 | 2019-02-06T19:47:48.000Z | 2019-10-30T07:30:14.000Z | nomad/tests/core/test_shortest_path_solver.py | romilbhardwaj/nomad | c6a8289872bfd07d1aa0b913f0aee7a2fccd5bf1 | [
"MIT"
] | 6 | 2019-03-21T18:29:04.000Z | 2019-04-11T18:31:34.000Z | nomad/tests/core/test_shortest_path_solver.py | romilbhardwaj/nomad | c6a8289872bfd07d1aa0b913f0aee7a2fccd5bf1 | [
"MIT"
] | null | null | null | import unittest
import networkx as nx
from core.placement.spsolver import DPShortestPathSolver
class TestShorthestPathSolverMethods(unittest.TestCase):
def setUp(self):
self.g1 = nx.read_weighted_edgelist('tests/test-graph_1.txt', create_using=nx.MultiDiGraph, nodetype=int)
def test_shortest_path(self... | 30 | 113 | 0.680952 | 78 | 630 | 5.25641 | 0.564103 | 0.117073 | 0.117073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020367 | 0.220635 | 630 | 21 | 114 | 30 | 0.814664 | 0 | 0 | 0 | 0 | 0 | 0.047544 | 0.034865 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.125 | false | 0 | 0.1875 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c38e57ef816e8a8c15f2598a7fb8639340906e | 1,285 | py | Python | Leetcode/medium/integer-break.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 6 | 2021-07-29T03:26:20.000Z | 2022-01-28T15:11:45.000Z | Leetcode/medium/integer-break.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 2 | 2021-09-30T09:47:23.000Z | 2022-01-31T03:08:24.000Z | Leetcode/medium/integer-break.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 5 | 2021-08-10T06:41:11.000Z | 2022-01-29T17:50:20.000Z | """
# INTEGER BREAK
Given a positive integer n, break it into the sum of at least two positive integers and maximize the product of those integers. Return the maximum product you can get.
Example 1:
Input: 2
Output: 1
Explanation: 2 = 1 + 1, 1 × 1 = 1.
Example 2:
Input: 10
Output: 36
Explanation: 10 = 3 + 3 + 4, ... | 26.770833 | 167 | 0.525292 | 193 | 1,285 | 3.512953 | 0.414508 | 0.022124 | 0.026549 | 0.029499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.067602 | 0.389883 | 1,285 | 48 | 168 | 26.770833 | 0.793367 | 0.42179 | 0 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0 | 0 | 0.434783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c622f1dbca6b4b9f0f05bf93b50ad3b73a9109 | 408 | py | Python | qiang00_before_project/qiang02_the_template/q02_add_template_filter.py | 13528770807/flask_project | 2930db1d59763b155f758ad4061a70d413bfc34d | [
"MIT"
] | null | null | null | qiang00_before_project/qiang02_the_template/q02_add_template_filter.py | 13528770807/flask_project | 2930db1d59763b155f758ad4061a70d413bfc34d | [
"MIT"
] | null | null | null | qiang00_before_project/qiang02_the_template/q02_add_template_filter.py | 13528770807/flask_project | 2930db1d59763b155f758ad4061a70d413bfc34d | [
"MIT"
] | null | null | null | from flask import Flask, render_template
app = Flask(__name__)
@app.route('/')
def index():
li = [1, 2, 3, 4, 5, 6, 7]
return render_template('filter.html', li=li)
@app.template_filter('li_rv2') # 添加过滤器 方法二
def li_reverse(li):
res = list(li)
res.reverse()
return res
# app.add_template_filter... | 17 | 59 | 0.647059 | 63 | 408 | 3.857143 | 0.555556 | 0.17284 | 0.131687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024465 | 0.198529 | 408 | 23 | 60 | 17.73913 | 0.718654 | 0.161765 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c6a65b4e2832bc68e0d04d1fcc2bd1ed8f0280 | 801 | py | Python | smps/rcmod.py | BenjiStomps/py-smps | c449bbfcd748203630bc0aecf2552c8d836f827c | [
"MIT"
] | 16 | 2017-02-22T02:26:41.000Z | 2021-04-05T10:28:02.000Z | smps/rcmod.py | BenjiStomps/py-smps | c449bbfcd748203630bc0aecf2552c8d836f827c | [
"MIT"
] | 22 | 2017-02-27T21:50:45.000Z | 2021-05-21T02:31:35.000Z | smps/rcmod.py | BenjiStomps/py-smps | c449bbfcd748203630bc0aecf2552c8d836f827c | [
"MIT"
] | 8 | 2017-09-30T09:50:44.000Z | 2021-05-20T22:29:54.000Z | """"""
import matplotlib as mpl
__all__ = ["set"]
def set(tick_scale=1, rc=dict()):
"""
Control plot style and scaling using seaborn and the
matplotlib rcParams interface.
:param tick_scale: A scaler number controling the spacing
on tick marks, defaults to 1.
:type tick_scale: floa... | 26.7 | 62 | 0.601748 | 105 | 801 | 4.447619 | 0.514286 | 0.134904 | 0.038544 | 0.072805 | 0.167024 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025381 | 0.262172 | 801 | 29 | 63 | 27.62069 | 0.764805 | 0.33583 | 0 | 0 | 0 | 0 | 0.273859 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23c9d0fc017e203c468d9f46add866be9898f0bd | 2,961 | py | Python | abqPython_SvM_3_SaveODB.py | jtipton2/abaqusSignedvM | 83f0577b6a3eab6d3c86a46ae110a94a7075981c | [
"BSD-3-Clause"
] | 2 | 2022-03-16T13:50:21.000Z | 2022-03-27T15:14:09.000Z | abqPython_SvM_3_SaveODB.py | jtipton2/abaqusSignedvM | 83f0577b6a3eab6d3c86a46ae110a94a7075981c | [
"BSD-3-Clause"
] | null | null | null | abqPython_SvM_3_SaveODB.py | jtipton2/abaqusSignedvM | 83f0577b6a3eab6d3c86a46ae110a94a7075981c | [
"BSD-3-Clause"
] | 2 | 2021-07-18T03:10:12.000Z | 2022-03-27T15:14:11.000Z | # -*- coding: utf-8 -*-
import numpy as np
from odbAccess import *
from abaqusConstants import *
filename = 'Job-4e-SS-Pulse'
"""
LOAD DATA
===============================================================================
"""
results = np.load(filename + '.npz')
vonMisesMax = results['vonMisesMax'].transpose()
vonMis... | 37.961538 | 150 | 0.660588 | 307 | 2,961 | 6.371336 | 0.29316 | 0.058282 | 0.053681 | 0.071575 | 0.330777 | 0.253067 | 0.253067 | 0.253067 | 0.109918 | 0 | 0 | 0.014184 | 0.095238 | 2,961 | 77 | 151 | 38.454545 | 0.715939 | 0.031746 | 0 | 0 | 0 | 0 | 0.117863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088235 | 0 | 0.088235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23cbfc7fdcdcf980a0e3a9a727e48fece2483a0e | 7,014 | py | Python | ssh.py | unazed/Py-s-SH | c20d883f75f094c71386e62cbfa8197120c641fc | [
"MIT"
] | null | null | null | ssh.py | unazed/Py-s-SH | c20d883f75f094c71386e62cbfa8197120c641fc | [
"MIT"
] | null | null | null | ssh.py | unazed/Py-s-SH | c20d883f75f094c71386e62cbfa8197120c641fc | [
"MIT"
] | null | null | null | """
SSH reimplementation in Python, made by Unazed Spectaculum under the MIT license
"""
import socket
import struct
class SSH(object):
"""
Abstracted interface for secure-shell protocol with underlying TCP structure
"""
def __init__(self, host_ip, hostname, host_port=22, version="SSH-2.0"):
... | 44.675159 | 120 | 0.681637 | 841 | 7,014 | 5.282996 | 0.146254 | 0.054018 | 0.088229 | 0.113437 | 0.525771 | 0.365069 | 0.313302 | 0.220122 | 0.180959 | 0.089129 | 0 | 0.014772 | 0.208583 | 7,014 | 156 | 121 | 44.961538 | 0.785624 | 0.025235 | 0 | 0.033898 | 0 | 0 | 0.10816 | 0.046815 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076271 | false | 0.008475 | 0.016949 | 0 | 0.118644 | 0.194915 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ce177acd70b69372b2d3dd196d4ee81ee251d0 | 1,140 | py | Python | seriously/probably_prime.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 104 | 2015-11-02T00:08:32.000Z | 2022-02-17T23:17:14.000Z | seriously/probably_prime.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 68 | 2015-11-09T05:33:24.000Z | 2020-04-10T06:46:54.000Z | seriously/probably_prime.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 25 | 2015-11-19T05:34:09.000Z | 2021-07-20T13:54:03.000Z | import random
def find_spelling(n):
"""
Finds d, r s.t. n-1 = 2^r * d
"""
r = 0
d = n - 1
# divmod used for large numbers
quotient, remainder = divmod(d, 2)
# while we can still divide 2's into n-1...
while remainder != 1:
r += 1
d = quotient # previo... | 24.782609 | 89 | 0.497368 | 168 | 1,140 | 3.345238 | 0.434524 | 0.021352 | 0.046263 | 0.085409 | 0.088968 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039301 | 0.397368 | 1,140 | 46 | 90 | 24.782609 | 0.778748 | 0.317544 | 0 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.035714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ce1db523427cb59d90dd66571f9536a6eda982 | 4,859 | py | Python | home/moz4r/Marty/marty_customInmoov.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 63 | 2015-02-03T18:49:43.000Z | 2022-03-29T03:52:24.000Z | home/moz4r/Marty/marty_customInmoov.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 16 | 2016-01-26T19:13:29.000Z | 2018-11-25T21:20:51.000Z | home/moz4r/Marty/marty_customInmoov.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 151 | 2015-01-03T18:55:54.000Z | 2022-03-04T07:04:23.000Z | #MARTY I2C PI
#SCRIPT BASED ON MATS WORK
#SCRIPT PUSHED INSIDE inmoovCustom : https://github.com/MyRobotLab/inmoov/tree/master/InmoovScript
raspi = Runtime.createAndStart("RasPi","RasPi")
adaFruit16c = Runtime.createAndStart("AdaFruit16C","Adafruit16CServoDriver")
adaFruit16c.setController("RasPi","1","0x40")
#
# This... | 22.919811 | 98 | 0.787611 | 562 | 4,859 | 6.809609 | 0.25089 | 0.114973 | 0.066109 | 0.025085 | 0.232558 | 0.215574 | 0.215574 | 0.175856 | 0.175856 | 0.175856 | 0 | 0.048616 | 0.085614 | 4,859 | 211 | 99 | 23.028436 | 0.812739 | 0.064622 | 0 | 0.366279 | 0 | 0 | 0.05465 | 0.004848 | 0 | 0 | 0.000881 | 0 | 0 | 1 | 0.040698 | false | 0 | 0 | 0 | 0.040698 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ce6753d608fd795d0aebbaec8257e2469df9e3 | 7,214 | py | Python | tabular_experiments_supp_mat.py | juliendelaunay35000/APE-Adapted_Post-Hoc_Explanations | 991c4cf6153fafef4200732a5ef8ac93f1175f27 | [
"MIT"
] | null | null | null | tabular_experiments_supp_mat.py | juliendelaunay35000/APE-Adapted_Post-Hoc_Explanations | 991c4cf6153fafef4200732a5ef8ac93f1175f27 | [
"MIT"
] | null | null | null | tabular_experiments_supp_mat.py | juliendelaunay35000/APE-Adapted_Post-Hoc_Explanations | 991c4cf6153fafef4200732a5ef8ac93f1175f27 | [
"MIT"
] | null | null | null | from sklearn import tree, svm
from sklearn.neural_network import MLPClassifier
from sklearn.multiclass import OneVsRestClassifier
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, VotingClassifier
from sklearn.linear_model import LogisticRegression, RidgeClassifier
from sklearn.naive_baye... | 59.131148 | 182 | 0.624896 | 740 | 7,214 | 5.847297 | 0.293243 | 0.024035 | 0.031431 | 0.018489 | 0.172175 | 0.144211 | 0.081812 | 0.044373 | 0.029119 | 0.029119 | 0 | 0.008179 | 0.28819 | 7,214 | 122 | 183 | 59.131148 | 0.834469 | 0.123094 | 0 | 0.05102 | 0 | 0 | 0.078884 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020408 | false | 0 | 0.142857 | 0.010204 | 0.193878 | 0.091837 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ceb4be40ab14b96763eb535badca57463b0253 | 8,099 | py | Python | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | 5 | 2021-03-17T00:33:53.000Z | 2022-03-07T18:16:25.000Z | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | null | null | null | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | 2 | 2022-01-14T03:50:10.000Z | 2022-02-14T00:45:56.000Z | import pandas as pd
import numpy as np
import data_inputs, evaluate_EWRs
#--------------------------------------------------------------------------------------------------
def sum_events(events):
'''returns a sum of events'''
return int(round(events.sum(), 0))
def get_frequency(events):
'''Returns the f... | 47.087209 | 118 | 0.548463 | 963 | 8,099 | 4.41433 | 0.185877 | 0.04399 | 0.033874 | 0.042343 | 0.410727 | 0.337803 | 0.262291 | 0.255705 | 0.255705 | 0.218772 | 0 | 0.004683 | 0.340783 | 8,099 | 172 | 119 | 47.087209 | 0.791534 | 0.115076 | 0 | 0.275362 | 0 | 0 | 0.06482 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.021739 | 0 | 0.15942 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23cf95b3c49a497e9b4fcecf5c43de957206031c | 1,564 | py | Python | setup.py | nitehawck/DevEnvManager | 425b0d621be577fe73f22b4641f7099eac65669e | [
"MIT"
] | 1 | 2016-05-16T23:13:47.000Z | 2016-05-16T23:13:47.000Z | setup.py | nitehawck/DevEnvManager | 425b0d621be577fe73f22b4641f7099eac65669e | [
"MIT"
] | 41 | 2016-01-22T00:56:14.000Z | 2016-05-12T14:38:37.000Z | setup.py | nitehawck/DevEnvManager | 425b0d621be577fe73f22b4641f7099eac65669e | [
"MIT"
] | null | null | null | from setuptools import setup
with open('README.rst') as f:
readme = f.read()
setup(
name="dem",
version="0.0.8",
author="Ian Macaulay, Jeremy Opalach",
author_email="ismacaul@gmail.com",
url="http://www.github.com/nitehawck/dem",
description="An agnostic library/package manager for setting... | 31.28 | 103 | 0.575448 | 152 | 1,564 | 5.855263 | 0.644737 | 0.106742 | 0.140449 | 0.08764 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012456 | 0.28133 | 1,564 | 50 | 104 | 31.28 | 0.779359 | 0.05179 | 0 | 0.065217 | 0 | 0 | 0.550607 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.021739 | 0 | 0.021739 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23d1f2c4f4ea5639727ded8d5757f9d66fc0cc39 | 13,959 | py | Python | TarSync.py | waynegramlich/Fab | d4a23067a0354ffda106f7032df0501c8db24499 | [
"MIT"
] | 1 | 2022-03-20T12:25:34.000Z | 2022-03-20T12:25:34.000Z | TarSync.py | waynegramlich/Fab | d4a23067a0354ffda106f7032df0501c8db24499 | [
"MIT"
] | null | null | null | TarSync.py | waynegramlich/Fab | d4a23067a0354ffda106f7032df0501c8db24499 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""TarSync.py: Synchronize .fcstd and .tar files.
Usage: TarSync.py [OPTIONS] [DIR] ...
Recursively scans directories searching for `.fcstd`/`.FCstd` files
and synchronizes them with associated `.tar` files. The current
directory is used if no explicit directory or files are listed.
Options:
... | 45.617647 | 98 | 0.646321 | 1,837 | 13,959 | 4.753402 | 0.209036 | 0.01924 | 0.009162 | 0.013743 | 0.243014 | 0.193541 | 0.163536 | 0.137197 | 0.08967 | 0.074782 | 0 | 0.008279 | 0.247224 | 13,959 | 305 | 99 | 45.767213 | 0.822707 | 0.389641 | 0 | 0.184049 | 0 | 0 | 0.13019 | 0 | 0 | 0 | 0 | 0 | 0.128834 | 1 | 0.02454 | false | 0 | 0.055215 | 0 | 0.092025 | 0.006135 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23d7aa18934d135f4447648b4a864fe8e8b4a99c | 1,790 | py | Python | moods.py | henry232323/Discord-Pesterchum | 70be67f3671b35aa6cbe6e4eb66a4a1c07707ce3 | [
"MIT"
] | 27 | 2017-01-31T03:28:26.000Z | 2021-09-05T21:02:36.000Z | moods.py | henry232323/Discord-Pesterchum | 70be67f3671b35aa6cbe6e4eb66a4a1c07707ce3 | [
"MIT"
] | 18 | 2018-02-03T16:44:18.000Z | 2021-06-26T04:12:17.000Z | moods.py | henry232323/Discord-Pesterchum | 70be67f3671b35aa6cbe6e4eb66a4a1c07707ce3 | [
"MIT"
] | 5 | 2017-09-23T15:53:08.000Z | 2020-07-26T06:19:13.000Z | #!/usr/bin/env python3
# Copyright (c) 2016-2020, henry232323
#
# 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, mo... | 42.619048 | 76 | 0.701117 | 234 | 1,790 | 5.346154 | 0.606838 | 0.070344 | 0.020783 | 0.033573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011212 | 0.202793 | 1,790 | 41 | 77 | 43.658537 | 0.865452 | 0.603352 | 0 | 0.125 | 0 | 0 | 0.281567 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0 | 0.0625 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23d7e7b0e05f376311c1a1430b049eda79a5c69d | 4,465 | py | Python | reclass/utils/tests/test_refvalue.py | bbinet/reclass | c08b844b328fa0fe182db49dd423cc203a016ce9 | [
"Artistic-2.0"
] | 101 | 2015-01-09T14:59:57.000Z | 2021-11-06T23:33:50.000Z | reclass/utils/tests/test_refvalue.py | bbinet/reclass | c08b844b328fa0fe182db49dd423cc203a016ce9 | [
"Artistic-2.0"
] | 48 | 2015-01-30T05:53:47.000Z | 2019-03-21T23:17:40.000Z | reclass/utils/tests/test_refvalue.py | bbinet/reclass | c08b844b328fa0fe182db49dd423cc203a016ce9 | [
"Artistic-2.0"
] | 50 | 2015-01-30T08:56:07.000Z | 2020-12-25T02:34:08.000Z | #
# -*- coding: utf-8 -*-
#
# This file is part of reclass (http://github.com/madduck/reclass)
#
# Copyright © 2007–14 martin f. krafft <madduck@madduck.net>
# Released under the terms of the Artistic Licence 2.0
#
from reclass.utils.refvalue import RefValue
from reclass.defaults import PARAMETER_INTERPOLATION_SENTINE... | 34.882813 | 76 | 0.600224 | 501 | 4,465 | 5.095808 | 0.237525 | 0.041128 | 0.047395 | 0.046612 | 0.51038 | 0.438308 | 0.427732 | 0.410497 | 0.390521 | 0.390521 | 0 | 0.006194 | 0.27682 | 4,465 | 127 | 77 | 35.15748 | 0.783834 | 0.044345 | 0 | 0.357143 | 0 | 0 | 0.102161 | 0 | 0 | 0 | 0 | 0 | 0.183673 | 1 | 0.173469 | false | 0 | 0.040816 | 0.020408 | 0.244898 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23d88124e0abeec9041b9f813d746d7445479956 | 1,506 | py | Python | backend/neuroflow/routes/mood.py | isamu-isozaki/neuroflow-challenge | ca29b8e48be4853317ab706acd4731ea0a8bab10 | [
"MIT"
] | null | null | null | backend/neuroflow/routes/mood.py | isamu-isozaki/neuroflow-challenge | ca29b8e48be4853317ab706acd4731ea0a8bab10 | [
"MIT"
] | null | null | null | backend/neuroflow/routes/mood.py | isamu-isozaki/neuroflow-challenge | ca29b8e48be4853317ab706acd4731ea0a8bab10 | [
"MIT"
] | null | null | null | """
Author: Isamu Isozaki (isamu.website@gmail.com)
Description: description
Created: 2021-12-01T16:32:53.089Z
Modified: !date!
Modified By: modifier
"""
from flask import Blueprint, redirect, jsonify, url_for, request
from neuroflow.repository import create_mood, get_authorized, load_moods_from_user
from functools i... | 30.12 | 82 | 0.616866 | 173 | 1,506 | 5.190751 | 0.468208 | 0.033408 | 0.028953 | 0.037862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026508 | 0.273572 | 1,506 | 49 | 83 | 30.734694 | 0.794333 | 0.096946 | 0 | 0.054054 | 0 | 0 | 0.079882 | 0 | 0 | 0 | 0 | 0 | 0.027027 | 1 | 0.108108 | false | 0 | 0.108108 | 0 | 0.432432 | 0.108108 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23d8fd0ae625c1772c3f3bb0a2d8ee76180f8da6 | 2,684 | py | Python | capstone/upload_to_s3.py | slangenbach/udacity-de-nanodegree | ba885eb4c6fbce063e443375a89b92dbc46fa809 | [
"MIT"
] | 2 | 2020-03-07T23:32:41.000Z | 2020-05-22T15:35:16.000Z | capstone/upload_to_s3.py | slangenbach/udacity-de-nanodegree | ba885eb4c6fbce063e443375a89b92dbc46fa809 | [
"MIT"
] | 1 | 2020-05-25T11:17:15.000Z | 2020-05-26T06:58:37.000Z | capstone/upload_to_s3.py | slangenbach/udacity-de-nanodegree | ba885eb4c6fbce063e443375a89b92dbc46fa809 | [
"MIT"
] | 2 | 2020-03-31T13:00:01.000Z | 2021-07-14T14:34:37.000Z | import logging
import time
from pathlib import Path
from configparser import ConfigParser
import boto3
from botocore.exceptions import ClientError
def create_bucket(bucket_name: str, region: str = 'us-west-2'):
"""
Create S3 bucket
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/s3-example-c... | 31.209302 | 120 | 0.688897 | 362 | 2,684 | 4.944751 | 0.312155 | 0.039106 | 0.030168 | 0.024581 | 0.298324 | 0.251397 | 0.218994 | 0.218994 | 0.178771 | 0.132961 | 0 | 0.013189 | 0.209016 | 2,684 | 85 | 121 | 31.576471 | 0.829958 | 0.293219 | 0 | 0.292683 | 0 | 0 | 0.184818 | 0.025303 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.146341 | 0 | 0.292683 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23dbf2b9d9cefc92e0075e49e75f8a00b52cb7f9 | 4,174 | py | Python | core/loader.py | CrackerCat/ZetaSploit | 4589d467c9fb81c1a5075cd43358b2df9b896530 | [
"MIT"
] | 3 | 2020-12-04T07:29:31.000Z | 2022-01-30T10:14:41.000Z | core/loader.py | CrackerCat/ZetaSploit | 4589d467c9fb81c1a5075cd43358b2df9b896530 | [
"MIT"
] | null | null | null | core/loader.py | CrackerCat/ZetaSploit | 4589d467c9fb81c1a5075cd43358b2df9b896530 | [
"MIT"
] | 1 | 2021-03-27T06:14:43.000Z | 2021-03-27T06:14:43.000Z | #!/usr/bin/env python3
#
# MIT License
#
# Copyright (c) 2020 EntySec
#
# 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,... | 43.030928 | 115 | 0.598946 | 481 | 4,174 | 5.037422 | 0.324324 | 0.037144 | 0.03962 | 0.033017 | 0.151465 | 0.099876 | 0.099876 | 0.099876 | 0.099876 | 0.099876 | 0 | 0.003837 | 0.313129 | 4,174 | 97 | 116 | 43.030928 | 0.841298 | 0.258984 | 0 | 0.234375 | 0 | 0 | 0.042345 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0.015625 | 0.1875 | 0 | 0.390625 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23dc4f684d9d5300357e5bf6d8fabca6e13f5585 | 8,556 | py | Python | parameter_setting/parameters_setting_cropping_impact.py | MorganeAudrain/Calcium_new | 1af0ab4f70b91d1ca55c6053112c1744b1da1bd3 | [
"MIT"
] | null | null | null | parameter_setting/parameters_setting_cropping_impact.py | MorganeAudrain/Calcium_new | 1af0ab4f70b91d1ca55c6053112c1744b1da1bd3 | [
"MIT"
] | null | null | null | parameter_setting/parameters_setting_cropping_impact.py | MorganeAudrain/Calcium_new | 1af0ab4f70b91d1ca55c6053112c1744b1da1bd3 | [
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 5
@author: Melisa Maidana
This script runs different cropping parameters, motion correct the cropped images using reasonable motion correction parameters that were previously selected
by using the parameters_setting_motion_correction scripts, and ... | 50.329412 | 161 | 0.661524 | 1,178 | 8,556 | 4.535654 | 0.282683 | 0.031443 | 0.04941 | 0.019465 | 0.270073 | 0.246491 | 0.21224 | 0.186786 | 0.186786 | 0.186786 | 0 | 0.024364 | 0.227676 | 8,556 | 169 | 162 | 50.627219 | 0.784201 | 0.132539 | 0 | 0.190083 | 0 | 0.008264 | 0.151081 | 0.061216 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.132231 | 0 | 0.132231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23dd6ab36e5a83840094cc404aedad771f6f9076 | 1,676 | py | Python | src/data/energidataservice_api.py | titanbender/electricity-price-forecasting | c288a9b6d7489ac03ee800318539195bd1cd2650 | [
"MIT"
] | 1 | 2021-04-15T13:05:03.000Z | 2021-04-15T13:05:03.000Z | src/data/energidataservice_api.py | titanbender/electricity-price-forecasting | c288a9b6d7489ac03ee800318539195bd1cd2650 | [
"MIT"
] | 1 | 2018-12-11T13:41:45.000Z | 2018-12-11T14:15:15.000Z | src/data/energidataservice_api.py | titanbender/electricity-price-forecasting | c288a9b6d7489ac03ee800318539195bd1cd2650 | [
"MIT"
] | 1 | 2020-01-01T21:03:02.000Z | 2020-01-01T21:03:02.000Z |
import pandas as pd
import json
import urllib2
def download_nordpool(limit, output_file):
'''
The method downloads the nordpool available data from www.energidataservice.dk and saves it in a csv file
limit: Int, the number of maximum rows of data to download
output_file: Str, the name of the output file
'''
... | 37.244444 | 127 | 0.7679 | 245 | 1,676 | 5.122449 | 0.342857 | 0.063745 | 0.023904 | 0.028685 | 0.70757 | 0.661355 | 0.615139 | 0.557769 | 0.557769 | 0.557769 | 0 | 0.04321 | 0.130072 | 1,676 | 45 | 128 | 37.244444 | 0.817558 | 0.332339 | 0 | 0.347826 | 0 | 0.086957 | 0.414077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.217391 | 0.217391 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23df352466c71a2286ba6b66bb76f8b89e0ba1ff | 1,873 | py | Python | models/cnn.py | amayuelas/NNKGReasoning | 0e3623b344fd4e3088ece897f898ddbb1f80888d | [
"MIT"
] | 1 | 2022-03-16T22:20:12.000Z | 2022-03-16T22:20:12.000Z | models/cnn.py | amayuelas/NNKGReasoning | 0e3623b344fd4e3088ece897f898ddbb1f80888d | [
"MIT"
] | 2 | 2022-03-22T23:34:38.000Z | 2022-03-24T17:35:53.000Z | models/cnn.py | amayuelas/NNKGReasoning | 0e3623b344fd4e3088ece897f898ddbb1f80888d | [
"MIT"
] | null | null | null | from typing import Any
import torch
import torch.nn as nn
import torch.nn.functional as F
class CNN(nn.Module):
def __init__(self, entity_dim):
super(CNN, self).__init__()
self.dim = entity_dim
self.conv1 = nn.Conv1d(in_channels=1, out_channels=10,
kernel_s... | 31.745763 | 75 | 0.538708 | 284 | 1,873 | 3.433099 | 0.176056 | 0.086154 | 0.073846 | 0.073846 | 0.652308 | 0.652308 | 0.621538 | 0.588718 | 0.521026 | 0.521026 | 0 | 0.069586 | 0.317138 | 1,873 | 59 | 76 | 31.745763 | 0.692729 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23e397535cfd73ea5daf63a3a67cc1be6978c490 | 29,136 | py | Python | src/valr_python/ws_client.py | duncan-lumina/valr-python | 9c94b76990416b4b709d507b538bd8265ed51312 | [
"MIT"
] | 6 | 2019-12-31T17:25:14.000Z | 2021-12-15T14:30:05.000Z | src/valr_python/ws_client.py | duncan-lumina/valr-python | 9c94b76990416b4b709d507b538bd8265ed51312 | [
"MIT"
] | 17 | 2020-01-03T00:03:30.000Z | 2022-03-14T19:17:50.000Z | src/valr_python/ws_client.py | duncan-lumina/valr-python | 9c94b76990416b4b709d507b538bd8265ed51312 | [
"MIT"
] | 6 | 2020-06-24T03:23:37.000Z | 2021-12-17T14:20:46.000Z | import asyncio
from typing import Callable
from typing import Dict
from typing import List
from typing import Optional
from typing import Type
from typing import Union
try:
import simplejson as json
except ImportError:
import json
import websockets
from valr_python.enum import AccountEvent
from valr_python.e... | 30.864407 | 120 | 0.512699 | 2,622 | 29,136 | 5.607551 | 0.206712 | 0.029382 | 0.041896 | 0.037475 | 0.438822 | 0.369788 | 0.337006 | 0.30674 | 0.272938 | 0.23519 | 0 | 0.050607 | 0.37198 | 29,136 | 943 | 121 | 30.897137 | 0.752924 | 0.747426 | 0 | 0.1125 | 0 | 0 | 0.084629 | 0.030101 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0375 | false | 0 | 0.25 | 0.0125 | 0.3625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23e64fd0f143ca1fd055ab9e432dcd782eb331eb | 2,215 | py | Python | emailer.py | dblossom/raffle-checker | 807d33a305e836579a423986be2a7ff7c2d655e1 | [
"MIT"
] | null | null | null | emailer.py | dblossom/raffle-checker | 807d33a305e836579a423986be2a7ff7c2d655e1 | [
"MIT"
] | null | null | null | emailer.py | dblossom/raffle-checker | 807d33a305e836579a423986be2a7ff7c2d655e1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from database import Database
from rafflecollector import RaffleCollector
import os
import smtplib, ssl
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import schedule
import time
class Emailer:
db = Database()
email_id = os.environ['RAFFLE_EMAIL']
... | 31.642857 | 91 | 0.621219 | 272 | 2,215 | 4.841912 | 0.363971 | 0.083523 | 0.033409 | 0.045558 | 0.157935 | 0.135156 | 0.083523 | 0.059226 | 0.059226 | 0 | 0 | 0.007917 | 0.258691 | 2,215 | 69 | 92 | 32.101449 | 0.794153 | 0.013093 | 0 | 0.140351 | 0 | 0 | 0.125916 | 0.009615 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0.035088 | 0.140351 | 0 | 0.350877 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23e79af618c8a287421e1a5d39cd45ed069fab6f | 4,391 | py | Python | website_handling/website_check.py | Dr3xler/CookieConsentChecker | 816cdfb9d9dc741c57dbcd5e9c9ef59837196631 | [
"MIT"
] | null | null | null | website_handling/website_check.py | Dr3xler/CookieConsentChecker | 816cdfb9d9dc741c57dbcd5e9c9ef59837196631 | [
"MIT"
] | 3 | 2021-04-29T22:57:09.000Z | 2021-05-03T15:32:39.000Z | website_handling/website_check.py | Dr3xler/CookieConsentChecker | 816cdfb9d9dc741c57dbcd5e9c9ef59837196631 | [
"MIT"
] | 1 | 2021-08-29T09:53:09.000Z | 2021-08-29T09:53:09.000Z | import os
import json
import shutil
import time
from pathlib import Path
from sys import platform
# TODO: (stackoverflow.com/question/17136514/how-to-get-3rd-party-cookies)
# stackoverflow.com/questions/22200134/make-selenium-grab-all-cookies, add the selenium, phantomjs part to catch ALL cookies
# TODO: Maybe save ... | 35.128 | 125 | 0.662491 | 574 | 4,391 | 4.979094 | 0.277003 | 0.039188 | 0.029391 | 0.041638 | 0.637159 | 0.63366 | 0.538139 | 0.520644 | 0.520644 | 0.487054 | 0 | 0.012148 | 0.231382 | 4,391 | 124 | 126 | 35.41129 | 0.834667 | 0.26486 | 0 | 0.360656 | 0 | 0 | 0.274423 | 0.19403 | 0 | 0 | 0 | 0.008065 | 0 | 1 | 0.04918 | false | 0 | 0.098361 | 0 | 0.147541 | 0.147541 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ed67548a141b4172f60911a628a2325339dc44 | 4,468 | py | Python | podstreamer.py | Swall0w/pymusic | 73e08e6a5ad4c6d418a0074fc3a83be0896cf97c | [
"MIT"
] | 1 | 2017-06-08T11:41:00.000Z | 2017-06-08T11:41:00.000Z | podstreamer.py | Swall0w/pymusic | 73e08e6a5ad4c6d418a0074fc3a83be0896cf97c | [
"MIT"
] | null | null | null | podstreamer.py | Swall0w/pymusic | 73e08e6a5ad4c6d418a0074fc3a83be0896cf97c | [
"MIT"
] | null | null | null | import feedparser
import vlc
import argparse
import sys
import time
import curses
import wget
def arg():
parser = argparse.ArgumentParser(
description='Simple Podcast Streamer.')
parser.add_argument('--add', '-a', type=str, default=None,
help='Pass Podcast an URL argument that you want to add.... | 30.813793 | 75 | 0.57744 | 542 | 4,468 | 4.638376 | 0.282288 | 0.02864 | 0.054097 | 0.029833 | 0.217979 | 0.202864 | 0.115354 | 0.083532 | 0.083532 | 0.083532 | 0 | 0.021063 | 0.288048 | 4,468 | 144 | 76 | 31.027778 | 0.769255 | 0.00291 | 0 | 0.101695 | 0 | 0.016949 | 0.109364 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050847 | false | 0.033898 | 0.059322 | 0 | 0.127119 | 0.025424 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ef7212ca626e96219a55f6302d2adc0e8dabbe | 5,704 | py | Python | Engine.py | MaciejKrol51/chess | 457590768d338b900253ba345e64e56afbdf1ddd | [
"Apache-2.0"
] | null | null | null | Engine.py | MaciejKrol51/chess | 457590768d338b900253ba345e64e56afbdf1ddd | [
"Apache-2.0"
] | null | null | null | Engine.py | MaciejKrol51/chess | 457590768d338b900253ba345e64e56afbdf1ddd | [
"Apache-2.0"
] | null | null | null | def is_area_in_board(area):
if 0 <= area[0] <= 7 and 0 <= area[1] <= 7:
return True
return False
def cancel_castling(checker):
if abs(checker.val) == 50 or abs(checker.val) == 900:
checker.castling = False
def is_king_beaten(board, color):
for row in board:
for are... | 37.526316 | 121 | 0.577489 | 830 | 5,704 | 3.708434 | 0.090361 | 0.0705 | 0.067576 | 0.059129 | 0.570825 | 0.514295 | 0.480507 | 0.430799 | 0.337882 | 0.291748 | 0 | 0.021734 | 0.322405 | 5,704 | 151 | 122 | 37.774834 | 0.774644 | 0.012097 | 0 | 0.343511 | 0 | 0 | 0.003467 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122137 | false | 0.045802 | 0 | 0 | 0.251908 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23f06c21c858b67e6817ed29322c8b3b1f30395d | 2,281 | py | Python | jsportal_docsite/portal/markdown_extensions/__init__.py | jumpscale7/prototypes | a17f20aa203d4965708b6e0e3a34582f55baac30 | [
"Apache-2.0"
] | null | null | null | jsportal_docsite/portal/markdown_extensions/__init__.py | jumpscale7/prototypes | a17f20aa203d4965708b6e0e3a34582f55baac30 | [
"Apache-2.0"
] | null | null | null | jsportal_docsite/portal/markdown_extensions/__init__.py | jumpscale7/prototypes | a17f20aa203d4965708b6e0e3a34582f55baac30 | [
"Apache-2.0"
] | null | null | null | """
Original code Copyright 2009 [Waylan Limberg](http://achinghead.com)
All changes Copyright 2008-2014 The Python Markdown Project
Changed by Mohammad Tayseer to add CSS classes to table
License: [BSD](http://www.opensource.org/licenses/bsd-license.php)
"""
from __future__ import absolute_import
from __future__ ... | 35.092308 | 88 | 0.621657 | 253 | 2,281 | 5.537549 | 0.498024 | 0.031406 | 0.022841 | 0.025696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009575 | 0.267427 | 2,281 | 64 | 89 | 35.640625 | 0.828845 | 0.259097 | 0 | 0 | 0 | 0 | 0.068154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.131579 | 0.026316 | 0.289474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23f14aa8cb681028e47a2e9707262f0b7d8d18f4 | 6,320 | py | Python | NAS/single-path-one-shot/src/MNIST/test.py | naviocean/SimpleCVReproduction | 61b43e3583977f42e6f91ef176ec5e1701e98d33 | [
"Apache-2.0"
] | 923 | 2020-01-11T06:36:53.000Z | 2022-03-31T00:26:57.000Z | NAS/single-path-one-shot/src/MNIST/test.py | Twenty3hree/SimpleCVReproduction | 9939f8340c54dbd69b0017cecad875dccf428f26 | [
"Apache-2.0"
] | 25 | 2020-02-27T08:35:46.000Z | 2022-01-25T08:54:19.000Z | NAS/single-path-one-shot/src/MNIST/test.py | Twenty3hree/SimpleCVReproduction | 9939f8340c54dbd69b0017cecad875dccf428f26 | [
"Apache-2.0"
] | 262 | 2020-01-02T02:19:40.000Z | 2022-03-23T04:56:16.000Z | import argparse
import json
import logging
import os
import sys
import time
import cv2
import numpy as np
import PIL
import torch
import torch.nn as nn
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from PIL import Image
from angle import generate_angle
# from cifar100_dataset im... | 31.287129 | 91 | 0.612025 | 766 | 6,320 | 4.879896 | 0.295039 | 0.0313 | 0.059123 | 0.026752 | 0.158909 | 0.12306 | 0.087212 | 0.075441 | 0.075441 | 0.075441 | 0 | 0.0205 | 0.259019 | 6,320 | 201 | 92 | 31.442786 | 0.777707 | 0.112816 | 0 | 0.015504 | 0 | 0 | 0.131291 | 0.008598 | 0 | 0 | 0 | 0 | 0.007752 | 1 | 0.023256 | false | 0 | 0.131783 | 0 | 0.162791 | 0.03876 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23f63778d171661ca3379def8f64e54d84bf8d22 | 2,868 | py | Python | analysis/files/files.py | mg98/arbitrary-data-on-blockchains | 6450e638cf7c54f53ef247ff779770b22128a024 | [
"MIT"
] | 1 | 2022-03-21T01:51:44.000Z | 2022-03-21T01:51:44.000Z | analysis/files/files.py | mg98/arbitrary-data-on-blockchains | 6450e638cf7c54f53ef247ff779770b22128a024 | [
"MIT"
] | null | null | null | analysis/files/files.py | mg98/arbitrary-data-on-blockchains | 6450e638cf7c54f53ef247ff779770b22128a024 | [
"MIT"
] | null | null | null | import codecs
import sqlite3
import json
from fnmatch import fnmatch
from abc import ABC, abstractmethod
class FilesAnalysis(ABC):
"""Abstraction for analysis of transaction input data that contain popular file types."""
def __init__(self, chain: str, limit: int = 0, content_types: list[str] = ['*']):
"""
Initi... | 32.224719 | 132 | 0.709902 | 392 | 2,868 | 5.040816 | 0.334184 | 0.066802 | 0.024292 | 0.019231 | 0.145749 | 0.116397 | 0.116397 | 0.116397 | 0.116397 | 0.116397 | 0 | 0.005495 | 0.175035 | 2,868 | 88 | 133 | 32.590909 | 0.82967 | 0.222455 | 0 | 0.096774 | 0 | 0 | 0.237047 | 0.016048 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145161 | false | 0 | 0.080645 | 0 | 0.306452 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23faddb427ccf2b4a51011515cdd3a2b5edefbe2 | 1,211 | py | Python | examples/pymt-frostnumbermodel-multidim-parameter-study.py | csdms/dakotathon | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 8 | 2019-09-11T12:59:57.000Z | 2021-08-11T16:31:58.000Z | examples/pymt-frostnumbermodel-multidim-parameter-study.py | csdms/dakota | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 66 | 2015-04-06T17:11:21.000Z | 2019-02-03T18:09:52.000Z | examples/pymt-frostnumbermodel-multidim-parameter-study.py | csdms/dakota | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 5 | 2015-03-24T22:39:34.000Z | 2018-04-21T12:14:05.000Z | """An example of using Dakota as a component with PyMT.
This example requires a WMT executor with PyMT installed, as well as
the CSDMS Dakota interface and FrostNumberModel installed as
components.
"""
import os
from pymt.components import MultidimParameterStudy, FrostNumberModel
from dakotathon.utils import configur... | 27.522727 | 68 | 0.721718 | 146 | 1,211 | 5.767123 | 0.486301 | 0.033254 | 0.042755 | 0.038005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011605 | 0.14616 | 1,211 | 43 | 69 | 28.162791 | 0.802708 | 0.182494 | 0 | 0 | 0 | 0 | 0.281059 | 0.021385 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.107143 | 0 | 0.107143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23fdbc64ade39f6aaca5e42eb2790bc7ac6b2823 | 4,427 | py | Python | tensorflow/train_pretrained.py | sevakon/mobilenetv2 | e6634da41c377ae1c76662d061e6b2b804a3b09c | [
"MIT"
] | 1 | 2020-01-17T07:54:02.000Z | 2020-01-17T07:54:02.000Z | tensorflow/train_pretrained.py | sevakon/mobilenetv2 | e6634da41c377ae1c76662d061e6b2b804a3b09c | [
"MIT"
] | null | null | null | tensorflow/train_pretrained.py | sevakon/mobilenetv2 | e6634da41c377ae1c76662d061e6b2b804a3b09c | [
"MIT"
] | null | null | null | from callback import ValidationHistory
from dataloader import Dataloader
from normalizer import Normalizer
import tensorflow as tf
import numpy as np
import argparse
def get_model(input_shape, n_classes):
base_model = tf.keras.applications.MobileNetV2(input_shape=input_shape,
... | 33.793893 | 87 | 0.5733 | 469 | 4,427 | 5.215352 | 0.328358 | 0.042927 | 0.029436 | 0.026165 | 0.232216 | 0.232216 | 0.205233 | 0.205233 | 0.205233 | 0.205233 | 0 | 0.008325 | 0.321663 | 4,427 | 130 | 88 | 34.053846 | 0.806194 | 0.022815 | 0 | 0.295238 | 0 | 0 | 0.116435 | 0.021296 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038095 | false | 0 | 0.057143 | 0 | 0.114286 | 0.009524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23fe13301d5fe663179594a9c1c64fdce727026b | 1,354 | py | Python | source/test.py | valrus/alfred-org-mode-workflow | 30f81772ad16519317ccb170d36782e387988633 | [
"MIT"
] | 52 | 2016-08-04T02:15:52.000Z | 2021-12-20T20:33:07.000Z | source/test.py | valrus/alfred-org-mode-workflow | 30f81772ad16519317ccb170d36782e387988633 | [
"MIT"
] | 3 | 2019-11-15T15:13:51.000Z | 2020-11-25T10:42:34.000Z | source/test.py | valrus/alfred-org-mode-workflow | 30f81772ad16519317ccb170d36782e387988633 | [
"MIT"
] | 9 | 2019-03-06T04:21:29.000Z | 2021-08-16T02:28:33.000Z | # coding=utf-8
from orgmode_entry import OrgmodeEntry
entry = u'#A Etwas machen:: DL: Morgen S: Heute Ausstellung am 23.09.2014 12:00 oder am Montag bzw. am 22.10 13:00 sollte man anschauen. '
org = OrgmodeEntry()
# Use an absolute path
org.inbox_file = '/Users/Alex/Documents/Planung/Planning/Inbox.org'
org.delim... | 33.02439 | 140 | 0.739291 | 214 | 1,354 | 4.574766 | 0.46729 | 0.044944 | 0.030644 | 0.032686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037102 | 0.163959 | 1,354 | 40 | 141 | 33.85 | 0.827739 | 0.39808 | 0 | 0 | 0 | 0.047619 | 0.258469 | 0.060226 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.047619 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23fead2b5260640c347d0b505721cb2630c98560 | 407 | py | Python | 25/00/2.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | null | null | null | 25/00/2.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | 70 | 2017-06-01T11:02:51.000Z | 2017-06-30T00:35:32.000Z | 25/00/2.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | null | null | null | import gzip
import bz2
import lzma
s = b'witch which has which witches wrist watch'
with open('2.txt', 'wb') as f: f.write(s)
with gzip.open('2.txt.gz', 'wb') as f: f.write(s)
with bz2.open('2.txt.bz2', 'wb') as f: f.write(s)
with lzma.open('2.txt.xz', 'wb') as f: f.write(s)
print('txt', len(s))
print('gz ', len(gzip... | 25.4375 | 49 | 0.641278 | 83 | 407 | 3.144578 | 0.301205 | 0.076628 | 0.122605 | 0.091954 | 0.229885 | 0.229885 | 0.183908 | 0 | 0 | 0 | 0 | 0.025352 | 0.127764 | 407 | 15 | 50 | 27.133333 | 0.709859 | 0 | 0 | 0 | 0 | 0 | 0.224138 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
23ff90db58dc31d3acc655b347ff8c32734fce8f | 751 | py | Python | timezones.py | rayjustinhuang/BitesofPy | 03b694c5259ff607621419d9677c5caff90a6057 | [
"MIT"
] | null | null | null | timezones.py | rayjustinhuang/BitesofPy | 03b694c5259ff607621419d9677c5caff90a6057 | [
"MIT"
] | null | null | null | timezones.py | rayjustinhuang/BitesofPy | 03b694c5259ff607621419d9677c5caff90a6057 | [
"MIT"
] | null | null | null | import pytz
from datetime import datetime
MEETING_HOURS = range(6, 23) # meet from 6 - 22 max
TIMEZONES = set(pytz.all_timezones)
def within_schedule(utc, *timezones):
"""Receive a utc datetime and one or more timezones and check if
they are all within schedule (MEETING_HOURS)"""
times = []
... | 25.033333 | 68 | 0.624501 | 96 | 751 | 4.8125 | 0.520833 | 0.077922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011342 | 0.295606 | 751 | 30 | 69 | 25.033333 | 0.862004 | 0.170439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0.05 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b000540f0f753d3e1bc63731ed866572a4a795c | 450 | py | Python | config.py | saurabhchardereal/kernel-tracker | 60d53e6ae377925f8540f148b742869929337088 | [
"MIT"
] | null | null | null | config.py | saurabhchardereal/kernel-tracker | 60d53e6ae377925f8540f148b742869929337088 | [
"MIT"
] | null | null | null | config.py | saurabhchardereal/kernel-tracker | 60d53e6ae377925f8540f148b742869929337088 | [
"MIT"
] | null | null | null | from os import sys, environ
from tracker.__main__ import args
# Name of the file to save kernel versions json
DB_FILE_NAME = "data.json"
# By default looks up in env for api and chat id or just put your stuff in here
# directly if you prefer it that way
BOT_API = environ.get("BOT_API")
CHAT_ID = environ.get("CHAT_ID"... | 28.125 | 79 | 0.717778 | 84 | 450 | 3.678571 | 0.630952 | 0.097087 | 0.064725 | 0.07767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002801 | 0.206667 | 450 | 15 | 80 | 30 | 0.862745 | 0.351111 | 0 | 0 | 0 | 0 | 0.201389 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b02d42862a5d0797afc71d43094512a70c96510 | 3,302 | py | Python | Packs/dnstwist/Integrations/dnstwist/dnstwist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/dnstwist/Integrations/dnstwist/dnstwist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/dnstwist/Integrations/dnstwist/dnstwist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import subprocess
from CommonServerPython import *
TWIST_EXE = '/dnstwist/dnstwist.py'
if demisto.command() == 'dnstwist-domain-variations':
KEYS_TO_MD = ["whois_updated", "whois_created", "dns_a", "dns_mx", "dns_ns"]
DOMAIN = demisto.args()['domain']
LIMIT = int(demisto.args()['limit'])
... | 35.891304 | 117 | 0.58934 | 398 | 3,302 | 4.690955 | 0.248744 | 0.09052 | 0.048206 | 0.054633 | 0.149973 | 0.111409 | 0 | 0 | 0 | 0 | 0 | 0.001676 | 0.277408 | 3,302 | 91 | 118 | 36.285714 | 0.780805 | 0.040581 | 0 | 0 | 0 | 0 | 0.219096 | 0.029402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025974 | false | 0 | 0.038961 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b049ff801a11852ac7c1f7e34a2e069aca68527 | 3,395 | py | Python | test/test_resourcerequirements.py | noralsydmp/icetea | b486cdc8e0d2211e118f1f8211aa4d284ca02422 | [
"Apache-2.0"
] | 6 | 2018-08-10T17:11:10.000Z | 2020-04-29T07:05:36.000Z | test/test_resourcerequirements.py | noralsydmp/icetea | b486cdc8e0d2211e118f1f8211aa4d284ca02422 | [
"Apache-2.0"
] | 58 | 2018-08-13T08:36:08.000Z | 2021-07-07T08:32:52.000Z | test/test_resourcerequirements.py | noralsydmp/icetea | b486cdc8e0d2211e118f1f8211aa4d284ca02422 | [
"Apache-2.0"
] | 7 | 2018-08-10T12:53:18.000Z | 2021-11-08T05:15:42.000Z | # pylint: disable=missing-docstring,protected-access
"""
Copyright 2017 ARM Limited
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 b... | 38.146067 | 90 | 0.648895 | 378 | 3,395 | 5.653439 | 0.359788 | 0.056153 | 0.078615 | 0.077211 | 0.363126 | 0.218531 | 0.196069 | 0.1343 | 0.059897 | 0.059897 | 0 | 0.012448 | 0.219146 | 3,395 | 88 | 91 | 38.579545 | 0.793663 | 0.197644 | 0 | 0.214286 | 0 | 0 | 0.189757 | 0.009212 | 0 | 0 | 0 | 0 | 0.178571 | 1 | 0.089286 | false | 0 | 0.035714 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b04ad53449f706663e52db825a5918226304aab | 321 | py | Python | hadoop_example/reduce.py | hatbot-team/hatbot | e7fea42b5431cc3e93d9e484c5bb5232d8f2e981 | [
"MIT"
] | 1 | 2016-05-26T08:18:36.000Z | 2016-05-26T08:18:36.000Z | hadoop_example/reduce.py | hatbot-team/hatbot | e7fea42b5431cc3e93d9e484c5bb5232d8f2e981 | [
"MIT"
] | null | null | null | hadoop_example/reduce.py | hatbot-team/hatbot | e7fea42b5431cc3e93d9e484c5bb5232d8f2e981 | [
"MIT"
] | null | null | null | #!/bin/python3
import sys
prev = ''
cnt = 0
for x in sys.stdin.readlines():
q, w = x.split('\t')[0], int(x.split('\t')[1])
if (prev == q):
cnt += 1
else:
if (cnt > 0):
print(prev + '\t' + str(cnt))
prev = q
cnt = w
if (cnt > 0):
print(prev + '\t' + str(cnt))... | 17.833333 | 50 | 0.433022 | 50 | 321 | 2.78 | 0.44 | 0.086331 | 0.100719 | 0.158273 | 0.316547 | 0.316547 | 0.316547 | 0.316547 | 0 | 0 | 0 | 0.033493 | 0.34891 | 321 | 17 | 51 | 18.882353 | 0.631579 | 0.040498 | 0 | 0.285714 | 0 | 0 | 0.026059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b0792a063a2b49e22d50a2e57caac25388b1b3e | 511 | py | Python | tests/blockchain/test_hashing_and_proof.py | thecoons/blockchain | 426ede04d058b5eb0e595fcf6e9c71d16605f9a7 | [
"MIT"
] | null | null | null | tests/blockchain/test_hashing_and_proof.py | thecoons/blockchain | 426ede04d058b5eb0e595fcf6e9c71d16605f9a7 | [
"MIT"
] | null | null | null | tests/blockchain/test_hashing_and_proof.py | thecoons/blockchain | 426ede04d058b5eb0e595fcf6e9c71d16605f9a7 | [
"MIT"
] | null | null | null | import json
import hashlib
from .test_case.blockchain import BlockchainTestCase
class TestHashingAndProofs(BlockchainTestCase):
def test_hash_is_correct(self):
self.create_block()
new_block = self.blockchain.last_block
new_block_json = json.dumps(
self.blockchain.last_block, ... | 26.894737 | 61 | 0.702544 | 62 | 511 | 5.516129 | 0.467742 | 0.093567 | 0.076023 | 0.134503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012469 | 0.215264 | 511 | 18 | 62 | 28.388889 | 0.840399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b0816140cf40f94ed1ecf980a99d990c62d409b | 14,495 | py | Python | xgbse/_kaplan_neighbors.py | gdmarmerola/xgboost-survival-embeddings | cb672d5c2bf09c7d8cbf9edf7807a153bce4db40 | [
"Apache-2.0"
] | null | null | null | xgbse/_kaplan_neighbors.py | gdmarmerola/xgboost-survival-embeddings | cb672d5c2bf09c7d8cbf9edf7807a153bce4db40 | [
"Apache-2.0"
] | null | null | null | xgbse/_kaplan_neighbors.py | gdmarmerola/xgboost-survival-embeddings | cb672d5c2bf09c7d8cbf9edf7807a153bce4db40 | [
"Apache-2.0"
] | null | null | null | import warnings
import numpy as np
import pandas as pd
import xgboost as xgb
import scipy.stats as st
from sklearn.neighbors import BallTree
from xgbse._base import XGBSEBaseEstimator
from xgbse.converters import convert_data_to_xgb_format, convert_y
from xgbse.non_parametric import (
calculate_kaplan_vectorized,... | 34.186321 | 135 | 0.635598 | 1,807 | 14,495 | 4.915329 | 0.201439 | 0.021617 | 0.02567 | 0.011822 | 0.558883 | 0.543684 | 0.501351 | 0.461946 | 0.433799 | 0.413983 | 0 | 0.005691 | 0.29693 | 14,495 | 423 | 136 | 34.267139 | 0.865862 | 0.41504 | 0 | 0.388889 | 0 | 0 | 0.092977 | 0.012168 | 0 | 0 | 0 | 0 | 0.005051 | 1 | 0.035354 | false | 0 | 0.045455 | 0 | 0.136364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b086dcb5153716593628ec1966115cfb5eef668 | 3,932 | py | Python | homework_2/1.py | jelic98/raf_mu | 8b965fa41d5f89eeea371ab7b8e15bd167325b5f | [
"Apache-2.0"
] | null | null | null | homework_2/1.py | jelic98/raf_mu | 8b965fa41d5f89eeea371ab7b8e15bd167325b5f | [
"Apache-2.0"
] | null | null | null | homework_2/1.py | jelic98/raf_mu | 8b965fa41d5f89eeea371ab7b8e15bd167325b5f | [
"Apache-2.0"
] | 1 | 2021-05-30T15:26:52.000Z | 2021-05-30T15:26:52.000Z | import math
import numpy as np
import pandas as pd
import tensorflow as tf
import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import warnings
warnings.filterwarnings('ignore')
# Hiperparametri
epoch_max = 10
alpha_max = 0.025
alpha_min = 0.001
batch_size = 32
window_size = 14
test... | 31.206349 | 95 | 0.694557 | 634 | 3,932 | 4.15142 | 0.309148 | 0.018237 | 0.020517 | 0.033435 | 0.168693 | 0.119301 | 0.087766 | 0.080547 | 0.080547 | 0.059271 | 0 | 0.019787 | 0.164547 | 3,932 | 125 | 96 | 31.456 | 0.781431 | 0.170905 | 0 | 0 | 0 | 0 | 0.030622 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.115942 | 0 | 0.115942 | 0.028986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b0a82ae7938b94fafa2d863a1f8c7ee8913dbbc | 2,674 | py | Python | playground/toy_grads_compositional.py | TUIlmenauAMS/nca_mss | f0deb4b0acd0e317fb50340a57979c2e0a43c293 | [
"MIT"
] | 2 | 2019-08-15T11:51:17.000Z | 2019-08-15T12:59:37.000Z | playground/toy_grads_compositional.py | TUIlmenauAMS/nca_mss | f0deb4b0acd0e317fb50340a57979c2e0a43c293 | [
"MIT"
] | 1 | 2020-08-11T14:25:45.000Z | 2020-08-11T14:25:45.000Z | playground/toy_grads_compositional.py | TUIlmenauAMS/nca_mss | f0deb4b0acd0e317fb50340a57979c2e0a43c293 | [
"MIT"
] | 1 | 2021-03-16T12:30:31.000Z | 2021-03-16T12:30:31.000Z | # -*- coding: utf-8 -*-
__author__ = 'S.I. Mimilakis'
__copyright__ = 'MacSeNet'
import torch
from torch.autograd import Variable
import numpy as np
dtype = torch.DoubleTensor
np.random.seed(2183)
torch.manual_seed(2183)
# D is the "batch size"; N is input dimension;
# H is hidden dimension; N_out is output dimens... | 33.012346 | 112 | 0.726253 | 469 | 2,674 | 3.936034 | 0.26226 | 0.071506 | 0.078007 | 0.091008 | 0.375406 | 0.2974 | 0.282232 | 0.266522 | 0.222102 | 0.114843 | 0 | 0.011905 | 0.120419 | 2,674 | 80 | 113 | 33.425 | 0.772959 | 0.218773 | 0 | 0 | 0 | 0 | 0.058795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068182 | 0 | 0.068182 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b0ea10947bac276566d22b561a64d291c54aa39 | 3,195 | py | Python | blog/forms.py | oversabiproject/ghostrr | 0bf49537ddf0436d08d705b29bffbd49b66e7c65 | [
"MIT"
] | null | null | null | blog/forms.py | oversabiproject/ghostrr | 0bf49537ddf0436d08d705b29bffbd49b66e7c65 | [
"MIT"
] | null | null | null | blog/forms.py | oversabiproject/ghostrr | 0bf49537ddf0436d08d705b29bffbd49b66e7c65 | [
"MIT"
] | null | null | null | import string
from django import forms
from django.conf import settings
from django.shortcuts import get_object_or_404
from accounts.models import User, Profile
from .models import Blogs
from .utils import get_limit_for_level, write_to_limit
class EditLimitForm(forms.Form):
free_limit = forms.IntegerField(help_t... | 34.728261 | 179 | 0.747418 | 470 | 3,195 | 4.938298 | 0.265957 | 0.030159 | 0.045239 | 0.054287 | 0.251616 | 0.173632 | 0.173632 | 0.173632 | 0.173632 | 0.15726 | 0 | 0.013739 | 0.157121 | 3,195 | 92 | 180 | 34.728261 | 0.848125 | 0.133959 | 0 | 0 | 0 | 0.018519 | 0.270811 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.12963 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b0f367d08c895d53158d4654de98cbeabd4b541 | 1,032 | py | Python | Class Work/Recursion & Search /app.py | Pondorasti/CS-1.2 | c86efa40f8a09c1ca1ce0b937ca63a07108bfc6c | [
"MIT"
] | null | null | null | Class Work/Recursion & Search /app.py | Pondorasti/CS-1.2 | c86efa40f8a09c1ca1ce0b937ca63a07108bfc6c | [
"MIT"
] | null | null | null | Class Work/Recursion & Search /app.py | Pondorasti/CS-1.2 | c86efa40f8a09c1ca1ce0b937ca63a07108bfc6c | [
"MIT"
] | null | null | null | a = [1, 2, 3, 5, 6]
def recursive_search(array, item_to_find, current_index=0):
if current_index == len(array):
return None
elif array[current_index] == item_to_find:
return current_index
else:
return recursive_search(array, item_to_find, current_index + 1)
# print(recursive_search(... | 21.957447 | 117 | 0.593992 | 140 | 1,032 | 4.214286 | 0.257143 | 0.183051 | 0.115254 | 0.081356 | 0.301695 | 0.142373 | 0.142373 | 0.142373 | 0 | 0 | 0 | 0.0427 | 0.296512 | 1,032 | 47 | 118 | 21.957447 | 0.769972 | 0.028101 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.366667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b119221fff46228bdcf97a9b0a6cdd84ac53dfa | 6,623 | py | Python | klusta/kwik/mock.py | hrnciar/klusta | 408e898e8d5dd1788841d1f682e51d0dc003a296 | [
"BSD-3-Clause"
] | 45 | 2016-03-19T14:39:40.000Z | 2021-12-15T06:34:57.000Z | klusta/kwik/mock.py | hrnciar/klusta | 408e898e8d5dd1788841d1f682e51d0dc003a296 | [
"BSD-3-Clause"
] | 73 | 2016-03-19T16:15:45.000Z | 2022-02-22T16:37:16.000Z | klusta/kwik/mock.py | hrnciar/klusta | 408e898e8d5dd1788841d1f682e51d0dc003a296 | [
"BSD-3-Clause"
] | 41 | 2016-04-08T14:04:00.000Z | 2021-09-09T20:49:41.000Z | # -*- coding: utf-8 -*-
"""Mock Kwik files."""
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
import os.path as op
import numpy as np
import numpy.random as nr
from .mea import staggered_posit... | 36.191257 | 79 | 0.562434 | 757 | 6,623 | 4.638045 | 0.216645 | 0.029052 | 0.034178 | 0.032469 | 0.311023 | 0.22814 | 0.115921 | 0.07092 | 0.049559 | 0.029052 | 0 | 0.022709 | 0.261966 | 6,623 | 182 | 80 | 36.39011 | 0.695581 | 0.141326 | 0 | 0.06087 | 0 | 0 | 0.117637 | 0.036795 | 0 | 0 | 0 | 0.005495 | 0 | 1 | 0.086957 | false | 0 | 0.052174 | 0.06087 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b11b55cfbda19b56fe51d5da114dd0268d96bc2 | 1,824 | py | Python | telluride_decoding/preprocess_audio.py | RULCSoft/telluride_decoding | ff2a5b421a499370b379e7f4fc3f28033c045e17 | [
"Apache-2.0"
] | 8 | 2019-07-03T15:33:52.000Z | 2021-10-21T00:56:43.000Z | telluride_decoding/preprocess_audio.py | RULCSoft/telluride_decoding | ff2a5b421a499370b379e7f4fc3f28033c045e17 | [
"Apache-2.0"
] | 3 | 2020-09-02T19:04:36.000Z | 2022-03-12T19:46:50.000Z | telluride_decoding/preprocess_audio.py | RULCSoft/telluride_decoding | ff2a5b421a499370b379e7f4fc3f28033c045e17 | [
"Apache-2.0"
] | 7 | 2019-07-03T15:50:24.000Z | 2020-11-26T12:16:10.000Z | # Copyright 2020 Google Inc.
#
# 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, ... | 36.48 | 80 | 0.733553 | 266 | 1,824 | 4.969925 | 0.545113 | 0.045386 | 0.019667 | 0.024206 | 0.143722 | 0.113464 | 0.113464 | 0.072617 | 0 | 0 | 0 | 0.007157 | 0.157346 | 1,824 | 49 | 81 | 37.22449 | 0.85296 | 0.719298 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b122420662104df8bedddda57c416404fd43cea | 3,355 | py | Python | aioouimeaux/device/__init__.py | frawau/aioouimeaux | ea473ded95e41e350793b0e289944a359049c501 | [
"BSD-3-Clause"
] | 2 | 2019-01-26T02:44:14.000Z | 2019-08-06T00:40:56.000Z | aioouimeaux/device/__init__.py | frawau/aioouimeaux | ea473ded95e41e350793b0e289944a359049c501 | [
"BSD-3-Clause"
] | 1 | 2019-05-23T22:35:27.000Z | 2019-05-25T20:23:50.000Z | aioouimeaux/device/__init__.py | frawau/aioouimeaux | ea473ded95e41e350793b0e289944a359049c501 | [
"BSD-3-Clause"
] | null | null | null | import logging
from urllib.parse import urlsplit
import asyncio as aio
from functools import partial
from .api.service import Service
from .api.xsd import device as deviceParser
from ..utils import requests_get
log = logging.getLogger(__name__)
class DeviceUnreachable(Exception): pass
class UnknownService(Excepti... | 28.432203 | 76 | 0.614903 | 378 | 3,355 | 5.304233 | 0.338624 | 0.041895 | 0.057357 | 0.029925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007825 | 0.276304 | 3,355 | 117 | 77 | 28.675214 | 0.817957 | 0.017884 | 0 | 0.057471 | 0 | 0 | 0.041896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0.045977 | 0.08046 | 0.045977 | 0.344828 | 0.057471 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b1232a2760be1096b010b97407d362bad15d50f | 2,012 | py | Python | src/lib/localtime.py | RonaldHiemstra/BronartsmeiH | 1ad3838b43abfe9a1f3416334439c8056aa50dde | [
"MIT"
] | null | null | null | src/lib/localtime.py | RonaldHiemstra/BronartsmeiH | 1ad3838b43abfe9a1f3416334439c8056aa50dde | [
"MIT"
] | 3 | 2021-03-17T16:05:01.000Z | 2021-05-01T18:47:43.000Z | src/lib/localtime.py | RonaldHiemstra/BronartsmeiH | 1ad3838b43abfe9a1f3416334439c8056aa50dde | [
"MIT"
] | null | null | null | """File providing localtime support."""
import time
import network
import ntptime
from machine import RTC, reset
from config import Config
system_config = Config('system_config.json')
class Localtime():
"""Synchronized realtime clock using NTP."""
def __init__(self, utc_offset=None):
self.utc_offset =... | 39.45098 | 92 | 0.578032 | 248 | 2,012 | 4.475806 | 0.379032 | 0.040541 | 0.054054 | 0.067568 | 0.2 | 0.127928 | 0.046847 | 0 | 0 | 0 | 0 | 0.007278 | 0.317097 | 2,012 | 50 | 93 | 40.24 | 0.800582 | 0.215706 | 0 | 0.102564 | 0 | 0 | 0.039406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128205 | false | 0 | 0.128205 | 0 | 0.358974 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b126b83c2c4f4a5775d0727f5ece4feb0b27a5c | 448 | py | Python | accounts/api/urls.py | tejaswari7/JagratiWebApp | e9030f8bd6319a7bb43e036bb7bc43cca01d64a1 | [
"MIT"
] | 59 | 2019-12-05T13:23:14.000Z | 2021-12-07T13:54:25.000Z | accounts/api/urls.py | tejaswari7/JagratiWebApp | e9030f8bd6319a7bb43e036bb7bc43cca01d64a1 | [
"MIT"
] | 266 | 2020-09-22T16:22:56.000Z | 2021-10-17T18:13:11.000Z | accounts/api/urls.py | tejaswari7/JagratiWebApp | e9030f8bd6319a7bb43e036bb7bc43cca01d64a1 | [
"MIT"
] | 213 | 2020-05-20T18:17:21.000Z | 2022-03-06T11:03:42.000Z | from django.urls import path
from . import views
urlpatterns = [
path('register/', views.registration_view, name='api_register'),
path('login/', views.LoginView.as_view(), name='api_login'),
path('complete_profile/', views.complete_profile_view, name='api_complete_profile'),
path('logout/', views.Logou... | 44.8 | 89 | 0.736607 | 59 | 448 | 5.288136 | 0.355932 | 0.112179 | 0.141026 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104911 | 448 | 10 | 90 | 44.8 | 0.778055 | 0 | 0 | 0 | 0 | 0 | 0.291759 | 0.048998 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b1bd86935affb209f3416a74dae1cedee23495f | 1,733 | py | Python | SimpleBeep.py | RalphBacon/219-Raspberry-Pi-PICO-Sound-Generation | 1c7a5cbfb5373aa5eccde00638bbdff062c57a2d | [
"MIT"
] | 2 | 2021-07-15T14:11:29.000Z | 2022-03-25T23:20:54.000Z | SimpleBeep.py | RalphBacon/219-Raspberry-Pi-PICO-Sound-Generation | 1c7a5cbfb5373aa5eccde00638bbdff062c57a2d | [
"MIT"
] | null | null | null | SimpleBeep.py | RalphBacon/219-Raspberry-Pi-PICO-Sound-Generation | 1c7a5cbfb5373aa5eccde00638bbdff062c57a2d | [
"MIT"
] | 1 | 2021-07-15T14:11:48.000Z | 2021-07-15T14:11:48.000Z | # Import the required 'libraries' for pin definitions and PWM
from machine import Pin, PWM
# Also import a subset for sleep and millisecond sleep. If you just import
# the utime you will have to prefix each call with "utime."
from utime import sleep, sleep_ms
# Define what the buzzer object is - a PWM output o... | 28.883333 | 119 | 0.671091 | 284 | 1,733 | 4.059859 | 0.464789 | 0.030356 | 0.056375 | 0.048569 | 0.06765 | 0.038161 | 0 | 0 | 0 | 0 | 0 | 0.098174 | 0.241777 | 1,733 | 60 | 120 | 28.883333 | 0.7793 | 0.508367 | 0 | 0.481481 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.074074 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b1c20b6056395f07046b2fb8132dfe7ff823554 | 1,789 | py | Python | vendor/packages/sqlalchemy/test/orm/test_bind.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | 2 | 2016-05-09T09:17:35.000Z | 2016-08-03T16:30:16.000Z | test/orm/test_bind.py | clones/sqlalchemy | c9f08aa78a48ba53dd221d3c5de54e5956ecf806 | [
"MIT"
] | null | null | null | test/orm/test_bind.py | clones/sqlalchemy | c9f08aa78a48ba53dd221d3c5de54e5956ecf806 | [
"MIT"
] | null | null | null | from sqlalchemy.test.testing import assert_raises, assert_raises_message
from sqlalchemy import MetaData, Integer
from sqlalchemy.test.schema import Table
from sqlalchemy.test.schema import Column
from sqlalchemy.orm import mapper, create_session
import sqlalchemy as sa
from sqlalchemy.test import testing
from test.orm... | 29.816667 | 75 | 0.618222 | 204 | 1,789 | 5.264706 | 0.372549 | 0.078212 | 0.067039 | 0.075419 | 0.160149 | 0.07635 | 0.07635 | 0 | 0 | 0 | 0 | 0 | 0.297373 | 1,789 | 59 | 76 | 30.322034 | 0.854415 | 0 | 0 | 0.122449 | 0 | 0 | 0.064913 | 0.011752 | 0 | 0 | 0 | 0 | 0.102041 | 1 | 0.102041 | false | 0.020408 | 0.163265 | 0 | 0.306122 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b1ea81c58845b4a3bb52fdf9a88f5aa5548c833 | 3,316 | py | Python | Chapter08/ppo/ppo_kb.py | rwill128/TensorFlow-Reinforcement-Learning-Quick-Start-Guide | 45ec2bd23a49ed72ce75f8c8d440ce7840c8ffce | [
"MIT"
] | 40 | 2019-05-19T01:29:12.000Z | 2022-03-27T04:37:31.000Z | Chapter08/ppo/ppo_kb.py | rwill128/TensorFlow-Reinforcement-Learning-Quick-Start-Guide | 45ec2bd23a49ed72ce75f8c8d440ce7840c8ffce | [
"MIT"
] | null | null | null | Chapter08/ppo/ppo_kb.py | rwill128/TensorFlow-Reinforcement-Learning-Quick-Start-Guide | 45ec2bd23a49ed72ce75f8c8d440ce7840c8ffce | [
"MIT"
] | 19 | 2019-05-02T19:55:57.000Z | 2022-02-26T01:51:45.000Z | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import gym
from class_ppo import *
from gym_torcs import TorcsEnv
#----------------------------------------------------------------------------------------
EP_MAX = 2000
EP_LEN = 1000
GAMMA = 0.95
A_LR = 1e-4
C_LR = 1e-4
BATCH = 128
A_UPDA... | 25.507692 | 123 | 0.495778 | 474 | 3,316 | 3.312236 | 0.291139 | 0.040127 | 0.044586 | 0.038217 | 0.217834 | 0.150318 | 0.123567 | 0.101911 | 0.101911 | 0.101911 | 0 | 0.036632 | 0.283776 | 3,316 | 129 | 124 | 25.705426 | 0.624421 | 0.16918 | 0 | 0.121622 | 0 | 0 | 0.037213 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.081081 | 0 | 0.081081 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b22737cee51dac49b519ede06b216b061a09833 | 1,628 | py | Python | py/garage/tests/threads/test_executors.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | 3 | 2016-01-04T06:28:52.000Z | 2020-09-20T13:18:40.000Z | py/garage/tests/threads/test_executors.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | py/garage/tests/threads/test_executors.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | import unittest
import threading
from garage.threads import executors
class ExecutorTest(unittest.TestCase):
def test_executor(self):
pool = executors.WorkerPool()
self.assertEqual(0, len(pool))
# No jobs, no workers are hired.
with executors.Executor(pool, 1) as executor:
... | 29.071429 | 67 | 0.595823 | 194 | 1,628 | 4.927835 | 0.304124 | 0.188285 | 0.117155 | 0.139121 | 0.574268 | 0.574268 | 0.546025 | 0.446653 | 0.446653 | 0.366109 | 0 | 0.032562 | 0.28317 | 1,628 | 55 | 68 | 29.6 | 0.786632 | 0.054054 | 0 | 0.621622 | 0 | 0 | 0.005205 | 0 | 0 | 0 | 0 | 0 | 0.378378 | 1 | 0.054054 | false | 0 | 0.081081 | 0 | 0.162162 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9b227c99cc76d04bed95afc7abf3ffae257b32fd | 2,619 | py | Python | exporter/BattleRoyal.py | dl-stuff/dl-datamine | aae37710d2525aaa2b83f809e908be67f074c2d2 | [
"MIT"
] | 3 | 2020-04-29T12:35:33.000Z | 2022-03-22T20:08:22.000Z | exporter/BattleRoyal.py | dl-stuff/dl-datamine | aae37710d2525aaa2b83f809e908be67f074c2d2 | [
"MIT"
] | 1 | 2020-10-23T00:08:35.000Z | 2020-10-29T04:10:35.000Z | exporter/BattleRoyal.py | dl-stuff/dl-datamine | aae37710d2525aaa2b83f809e908be67f074c2d2 | [
"MIT"
] | 4 | 2020-04-05T15:09:08.000Z | 2020-10-21T15:08:34.000Z | import os
import json
from tqdm import tqdm
from loader.Database import DBViewIndex, DBView, check_target_path
from exporter.Shared import snakey
from exporter.Adventurers import CharaData
from exporter.Dragons import DragonData
class BattleRoyalCharaSkin(DBView):
def __init__(self, index):
super().__ini... | 37.956522 | 124 | 0.649866 | 329 | 2,619 | 4.844985 | 0.322188 | 0.033877 | 0.041405 | 0.04266 | 0.21079 | 0.200753 | 0.200753 | 0.179423 | 0.104141 | 0.053952 | 0 | 0.003876 | 0.211913 | 2,619 | 68 | 125 | 38.514706 | 0.768411 | 0.021 | 0 | 0.145455 | 0 | 0 | 0.162763 | 0.009368 | 0 | 0 | 0 | 0 | 0 | 1 | 0.127273 | false | 0 | 0.127273 | 0 | 0.345455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1955c751f92a084391167fe5becfed42fd578e2 | 772 | py | Python | test/test_slope_heuristic.py | StatisKit/Core | 79d8ec07c203eb7973a6cf482852ddb2e8e1e93e | [
"Apache-2.0"
] | null | null | null | test/test_slope_heuristic.py | StatisKit/Core | 79d8ec07c203eb7973a6cf482852ddb2e8e1e93e | [
"Apache-2.0"
] | 7 | 2018-03-20T14:23:16.000Z | 2019-04-09T11:57:57.000Z | test/test_slope_heuristic.py | StatisKit/Core | 79d8ec07c203eb7973a6cf482852ddb2e8e1e93e | [
"Apache-2.0"
] | 7 | 2017-04-28T07:41:01.000Z | 2021-03-15T18:17:20.000Z | import matplotlib
matplotlib.use('Agg')
from statiskit import core
from statiskit.data import core as data
import unittest
from nose.plugins.attrib import attr
@attr(linux=True,
osx=True,
win=True,
level=1)
class TestSlopeHeuristic(unittest.TestCase):
@classmethod
def setUpClass(cls):
... | 25.733333 | 140 | 0.676166 | 95 | 772 | 5.431579 | 0.505263 | 0.050388 | 0.073643 | 0.089147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00165 | 0.215026 | 772 | 30 | 141 | 25.733333 | 0.849835 | 0.11399 | 0 | 0.095238 | 0 | 0 | 0.014948 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.238095 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1966b5ea95fad48b2c50f6ae0e84a62362e0d49 | 688 | py | Python | holteandtalley/test/matToJson.py | garrettdreyfus/HolteAndTalleyMLDPy | baab854ef955664437f04fdc7de100dcc894bbda | [
"MIT"
] | 18 | 2019-03-07T06:25:58.000Z | 2022-03-07T04:38:36.000Z | holteandtalley/test/matToJson.py | garrettdreyfus/HolteAndTalleyMLDPy | baab854ef955664437f04fdc7de100dcc894bbda | [
"MIT"
] | null | null | null | holteandtalley/test/matToJson.py | garrettdreyfus/HolteAndTalleyMLDPy | baab854ef955664437f04fdc7de100dcc894bbda | [
"MIT"
] | 3 | 2020-06-21T23:22:19.000Z | 2022-03-07T05:11:14.000Z | from scipy.io import loadmat
import pickle
mldinfo =loadmat('mldinfo.mat')["mldinfo"]
out={}
print(mldinfo)
for i in mldinfo:
line={}
line["floatNumber"] = i[0]
line["cycleNumber"] = i[26]
line["tempMLTFIT"] = i[27]
line["tempMLTFITIndex"] = i[28]
line["densityMLTFIT"] = i[30]
line["salinity... | 25.481481 | 42 | 0.604651 | 93 | 688 | 4.473118 | 0.526882 | 0.009615 | 0.033654 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048649 | 0.193314 | 688 | 26 | 43 | 26.461538 | 0.700901 | 0 | 0 | 0 | 0 | 0 | 0.298399 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f19839bccee38959af0b437965974c79d3cf702f | 1,578 | py | Python | natlas-server/natlas-db.py | purplesecops/natlas | 74edd7ba9b5c265ec06dfdb3f7ee0b38751e5ef8 | [
"Apache-2.0"
] | 500 | 2018-09-27T17:28:11.000Z | 2022-03-30T02:05:57.000Z | natlas-server/natlas-db.py | purplesecops/natlas | 74edd7ba9b5c265ec06dfdb3f7ee0b38751e5ef8 | [
"Apache-2.0"
] | 888 | 2018-09-20T05:04:46.000Z | 2022-03-28T04:11:22.000Z | natlas-server/natlas-db.py | purplesecops/natlas | 74edd7ba9b5c265ec06dfdb3f7ee0b38751e5ef8 | [
"Apache-2.0"
] | 79 | 2019-02-13T19:49:21.000Z | 2022-02-27T16:39:04.000Z | #!/usr/bin/env python
"""
This is a special app instance that allows us to perform database operations
without going through the app's migration_needed check. Running this script
is functionally equivalent to what `flask db` normally does. The reason we
can't continue to use that is that command is that... | 33.574468 | 135 | 0.716096 | 214 | 1,578 | 5.149533 | 0.53271 | 0.019964 | 0.045372 | 0.034483 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207224 | 1,578 | 46 | 136 | 34.304348 | 0.880895 | 0.280101 | 0 | 0.133333 | 0 | 0.066667 | 0.349638 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.133333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f19909329b0b6001c89ab80ab88194f8528fba3b | 4,368 | py | Python | ontask/action/forms/crud.py | pinheiroo27/ontask_b | 23fee8caf4e1c5694a710a77f3004ca5d9effeac | [
"MIT"
] | 33 | 2017-12-02T04:09:24.000Z | 2021-11-07T08:41:57.000Z | ontask/action/forms/crud.py | pinheiroo27/ontask_b | 23fee8caf4e1c5694a710a77f3004ca5d9effeac | [
"MIT"
] | 189 | 2017-11-16T04:06:29.000Z | 2022-03-11T23:35:59.000Z | ontask/action/forms/crud.py | pinheiroo27/ontask_b | 23fee8caf4e1c5694a710a77f3004ca5d9effeac | [
"MIT"
] | 30 | 2017-11-30T03:35:44.000Z | 2022-01-31T03:08:08.000Z | # -*- coding: utf-8 -*-
"""Forms to process action related fields.
ActionUpdateForm: Basic form to process the name/description of an action
ActionForm: Inherits from Basic to process name, description and type
ActionDescriptionForm: Inherits from basic but process only description (for
surveys)
FilterForm: Fo... | 29.315436 | 78 | 0.63576 | 513 | 4,368 | 5.259259 | 0.311891 | 0.026686 | 0.04003 | 0.016679 | 0.130838 | 0.110823 | 0.064122 | 0.064122 | 0.034841 | 0.034841 | 0 | 0.001844 | 0.255266 | 4,368 | 148 | 79 | 29.513514 | 0.827544 | 0.24794 | 0 | 0.233766 | 0 | 0 | 0.125938 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064935 | false | 0 | 0.116883 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f199cbd96d64f014fd31d99a8774f29dfb8baff8 | 3,400 | py | Python | apps/events/tests/admin_tests.py | Kpaubert/onlineweb4 | 9ac79f163bc3a816db57ffa8477ea88770d97807 | [
"MIT"
] | 32 | 2017-02-22T13:38:38.000Z | 2022-03-31T23:29:54.000Z | apps/events/tests/admin_tests.py | Kpaubert/onlineweb4 | 9ac79f163bc3a816db57ffa8477ea88770d97807 | [
"MIT"
] | 694 | 2017-02-15T23:09:52.000Z | 2022-03-31T23:16:07.000Z | apps/events/tests/admin_tests.py | Kpaubert/onlineweb4 | 9ac79f163bc3a816db57ffa8477ea88770d97807 | [
"MIT"
] | 35 | 2017-09-02T21:13:09.000Z | 2022-02-21T11:30:30.000Z | from django.contrib.auth.models import Group
from django.test import TestCase
from django.urls import reverse, reverse_lazy
from django_dynamic_fixture import G
from apps.authentication.models import OnlineUser
from ..constants import EventType
from ..models import Event
from .utils import (
add_event_permissions... | 33.009709 | 83 | 0.746471 | 452 | 3,400 | 5.287611 | 0.188053 | 0.037657 | 0.060251 | 0.075314 | 0.58159 | 0.509623 | 0.351883 | 0.351883 | 0.337657 | 0.333891 | 0 | 0.0074 | 0.165294 | 3,400 | 102 | 84 | 33.333333 | 0.834743 | 0.021471 | 0 | 0.2 | 0 | 0 | 0.038195 | 0.029173 | 0 | 0 | 0 | 0 | 0.123077 | 1 | 0.2 | false | 0 | 0.123077 | 0.046154 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f19aa91679864846081cef43f5707f10afbe079f | 9,380 | py | Python | instagram.py | Breizhux/picture-dl | 3e2bfa590097db56d3326a4aa36d0dd37c1bacc3 | [
"Unlicense"
] | null | null | null | instagram.py | Breizhux/picture-dl | 3e2bfa590097db56d3326a4aa36d0dd37c1bacc3 | [
"Unlicense"
] | 2 | 2019-09-06T12:19:18.000Z | 2019-09-06T15:21:36.000Z | instagram.py | Breizhux/picture-dl | 3e2bfa590097db56d3326a4aa36d0dd37c1bacc3 | [
"Unlicense"
] | null | null | null | # coding: utf-8
import urllib2
import message_box
from ast import literal_eval
class InfoExtractor():
""" Extractor Information class for Instagram
Instagram InfoExtractor that, given url, extract information about the
image (or images) the URL refers to. This information includes the real
image URL,... | 50.430108 | 133 | 0.615032 | 1,074 | 9,380 | 5.128492 | 0.17784 | 0.052288 | 0.117647 | 0.026688 | 0.598039 | 0.537582 | 0.509078 | 0.455338 | 0.377269 | 0.350218 | 0 | 0.004322 | 0.260021 | 9,380 | 185 | 134 | 50.702703 | 0.789223 | 0.173774 | 0 | 0.475862 | 0 | 0.006897 | 0.224769 | 0.061265 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062069 | false | 0 | 0.02069 | 0 | 0.158621 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1a479eb0ca5a8f8bbec21a491ef98b110500e1b | 1,584 | py | Python | python/qisrc/test/test_qisrc_foreach.py | vbarbaresi/qibuild | eab6b815fe0af49ea5c41ccddcd0dff2363410e1 | [
"BSD-3-Clause"
] | null | null | null | python/qisrc/test/test_qisrc_foreach.py | vbarbaresi/qibuild | eab6b815fe0af49ea5c41ccddcd0dff2363410e1 | [
"BSD-3-Clause"
] | null | null | null | python/qisrc/test/test_qisrc_foreach.py | vbarbaresi/qibuild | eab6b815fe0af49ea5c41ccddcd0dff2363410e1 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
def test_qisrc_foreach(qisrc_action, record_messages):
worktree = qisrc_action.worktree
worktree.create_project("not_in_git")
git_worktree... | 40.615385 | 77 | 0.709596 | 226 | 1,584 | 4.69469 | 0.292035 | 0.171536 | 0.118756 | 0.090481 | 0.538172 | 0.538172 | 0.427898 | 0.348728 | 0.295947 | 0.214892 | 0 | 0.007369 | 0.143308 | 1,584 | 38 | 78 | 41.684211 | 0.774503 | 0.101641 | 0 | 0.172414 | 0 | 0 | 0.187456 | 0 | 0 | 0 | 0 | 0 | 0.275862 | 1 | 0.103448 | false | 0 | 0 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1ad55c7e2b9846cac3302cc84dc78c54a2ce31b | 3,562 | py | Python | coursework/src/highscore.py | SpeedoDevo/G51FSE | bf5e203d936965e254eff1efa0b74edc368a6cda | [
"MIT"
] | null | null | null | coursework/src/highscore.py | SpeedoDevo/G51FSE | bf5e203d936965e254eff1efa0b74edc368a6cda | [
"MIT"
] | null | null | null | coursework/src/highscore.py | SpeedoDevo/G51FSE | bf5e203d936965e254eff1efa0b74edc368a6cda | [
"MIT"
] | null | null | null | import pygame
import sys
import collections # for ordered dict
import pickle # for saving and loading highscores
from constants import (SCREEN_WIDTH, SCREEN_HEIGHT, RED, GREEN, GREY, BLACK, WHITE)
# class that shows, saves and loads highscores
class ScoreTable(pygame.sprite.Sprite):
# passing in bg so that it's ne... | 37.893617 | 168 | 0.588433 | 470 | 3,562 | 4.42766 | 0.410638 | 0.034599 | 0.024027 | 0.021624 | 0.061028 | 0.028352 | 0.019702 | 0.019702 | 0 | 0 | 0 | 0.02707 | 0.294778 | 3,562 | 94 | 169 | 37.893617 | 0.801354 | 0.201572 | 0 | 0.03125 | 0 | 0 | 0.042169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140625 | false | 0 | 0.078125 | 0.015625 | 0.28125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1b0c5d59ac79b7bc53e1a8befc59467c9a655ae | 3,188 | py | Python | judge/download.py | tokusumi/judge-cli | e6883ba55dc37e8ca2f328105a4df57b0b3145ba | [
"MIT"
] | null | null | null | judge/download.py | tokusumi/judge-cli | e6883ba55dc37e8ca2f328105a4df57b0b3145ba | [
"MIT"
] | 6 | 2021-04-04T06:19:30.000Z | 2021-09-18T16:48:41.000Z | judge/download.py | tokusumi/judge-cli | e6883ba55dc37e8ca2f328105a4df57b0b3145ba | [
"MIT"
] | null | null | null | from pathlib import Path
from typing import Optional, Tuple
import typer
from onlinejudge import utils
from pydantic.networks import HttpUrl
from pydantic.types import DirectoryPath
from judge.schema import JudgeConfig
from judge.tools.download import DownloadArgs, LoginForm, SaveArgs
from judge.tools.download import... | 30.653846 | 88 | 0.631117 | 383 | 3,188 | 5.154047 | 0.334204 | 0.033435 | 0.032928 | 0.048126 | 0.285714 | 0.159574 | 0.159574 | 0.159574 | 0.140831 | 0.140831 | 0 | 0.001279 | 0.264115 | 3,188 | 103 | 89 | 30.951456 | 0.840153 | 0.081556 | 0 | 0.223684 | 0 | 0 | 0.114986 | 0.008287 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0.026316 | 0.131579 | 0 | 0.223684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1b7cdef9de310ce5a7fb0146da43f000e1ce55f | 18,861 | py | Python | gitflow/context.py | abacusresearch/gitflow | 81ea7f5d468f9b128cd593f62972f13352bd3a63 | [
"MIT"
] | null | null | null | gitflow/context.py | abacusresearch/gitflow | 81ea7f5d468f9b128cd593f62972f13352bd3a63 | [
"MIT"
] | null | null | null | gitflow/context.py | abacusresearch/gitflow | 81ea7f5d468f9b128cd593f62972f13352bd3a63 | [
"MIT"
] | null | null | null | import atexit
import os
import re
import shutil
from enum import Enum
from typing import List, Optional
import collections
from gitflow import cli, const, repotools, _, utils
from gitflow.common import Result
from gitflow.const import VersioningScheme
from gitflow.properties import PropertyIO
from gitflow.repotools i... | 38.64959 | 117 | 0.564233 | 1,893 | 18,861 | 5.367142 | 0.151083 | 0.035827 | 0.022047 | 0.031496 | 0.31624 | 0.246752 | 0.204921 | 0.189961 | 0.142323 | 0.106201 | 0 | 0.000731 | 0.34733 | 18,861 | 487 | 118 | 38.728953 | 0.824614 | 0.030433 | 0 | 0.194444 | 0 | 0 | 0.063499 | 0.014713 | 0 | 0 | 0 | 0.002053 | 0 | 1 | 0.055556 | false | 0.002778 | 0.036111 | 0.022222 | 0.263889 | 0.019444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1b87ee915b0b88ddd9829337e7a6f4316b55ca5 | 705 | py | Python | LeetCode/1219_Path_with_Maximum_Gold/main.py | sungmen/Acmicpc_Solve | 0298a6aec84993a4d8767bd2c00490b7201e06a4 | [
"MIT"
] | 1 | 2020-07-08T23:16:19.000Z | 2020-07-08T23:16:19.000Z | LeetCode/1219_Path_with_Maximum_Gold/main.py | sungmen/Acmicpc_Solve | 0298a6aec84993a4d8767bd2c00490b7201e06a4 | [
"MIT"
] | 1 | 2020-05-16T03:12:24.000Z | 2020-05-16T03:14:42.000Z | LeetCode/1219_Path_with_Maximum_Gold/main.py | sungmen/Acmicpc_Solve | 0298a6aec84993a4d8767bd2c00490b7201e06a4 | [
"MIT"
] | 2 | 2020-05-16T03:25:16.000Z | 2021-02-10T16:51:25.000Z | class Solution:
def __init__(self):
self.m = 0
self.n = 0
def dfs(self, y, x, grid) -> int:
if y < 0 or y >= self.m or x < 0 or x >= self.n or grid[y][x] == 0:
return 0
res = 0
tmpGrid = grid[y][x]
grid[y][x] = 0
for y_, x_ in ((y, x - 1),... | 32.045455 | 85 | 0.453901 | 120 | 705 | 2.6 | 0.233333 | 0.064103 | 0.096154 | 0.044872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029613 | 0.377305 | 705 | 22 | 86 | 32.045455 | 0.681093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1b884785bf603bff438ce57a6af789de6bc8891 | 2,307 | py | Python | test/test_modify_contact.py | peruana80/python_training | 0070bdc07b22d80594c029984c9967e56ba51951 | [
"Apache-2.0"
] | null | null | null | test/test_modify_contact.py | peruana80/python_training | 0070bdc07b22d80594c029984c9967e56ba51951 | [
"Apache-2.0"
] | null | null | null | test/test_modify_contact.py | peruana80/python_training | 0070bdc07b22d80594c029984c9967e56ba51951 | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
from random import randrange
def test_modify_contact_name(app, db, check_ui):
if len(db.get_group_list()) == 0:
app.contact.create(Contact(firstname="test"))
old_contacts = db.get_contact_list()
index = randrange(len(old_contacts))
contact = Contact(first_name... | 56.268293 | 186 | 0.702211 | 292 | 2,307 | 5.263699 | 0.25 | 0.08458 | 0.063761 | 0.068315 | 0.514639 | 0.444372 | 0.405335 | 0.405335 | 0.382563 | 0.382563 | 0 | 0.009534 | 0.181621 | 2,307 | 41 | 187 | 56.268293 | 0.804555 | 0.306025 | 0 | 0.095238 | 0 | 0 | 0.231108 | 0.050378 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1b8db0ca9074a5d55378aaf5be9d198fcaa6a0b | 734 | py | Python | base.py | oknalv/linky | 78fba19946e2212b10f3d1a5b27c7d9329556290 | [
"MIT"
] | null | null | null | base.py | oknalv/linky | 78fba19946e2212b10f3d1a5b27c7d9329556290 | [
"MIT"
] | null | null | null | base.py | oknalv/linky | 78fba19946e2212b10f3d1a5b27c7d9329556290 | [
"MIT"
] | null | null | null | import webapp2
from webapp2_extras import sessions
class BaseHandler(webapp2.RequestHandler):
def dispatch(self):
self.session_store = sessions.get_store(request=self.request)
try:
webapp2.RequestHandler.dispatch(self)
finally:
self.session_store.save_sessions(self.r... | 29.36 | 69 | 0.647139 | 85 | 734 | 5.447059 | 0.364706 | 0.190065 | 0.103672 | 0.136069 | 0.151188 | 0.151188 | 0.151188 | 0 | 0 | 0 | 0 | 0.008961 | 0.239782 | 734 | 25 | 70 | 29.36 | 0.820789 | 0 | 0 | 0.1 | 0 | 0 | 0.034014 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.1 | 0.05 | 0.45 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1b9ea9a68748f5299174c8b988d634a02fb6fda | 6,999 | py | Python | tests/test_helpers.py | albertoalcolea/dbhelpers | c65f77a750cf46874ae7b5b0e6d4930e9df729af | [
"Apache-2.0"
] | 2 | 2015-10-31T20:36:22.000Z | 2021-10-05T12:08:10.000Z | tests/test_helpers.py | albertoalcolea/dbhelpers | c65f77a750cf46874ae7b5b0e6d4930e9df729af | [
"Apache-2.0"
] | null | null | null | tests/test_helpers.py | albertoalcolea/dbhelpers | c65f77a750cf46874ae7b5b0e6d4930e9df729af | [
"Apache-2.0"
] | null | null | null | import unittest
try:
from unittest.mock import Mock, call
except ImportError:
from mock import Mock, call
from dbhelpers import cm_cursor, fetchiter, fetchone_nt, fetchmany_nt, fetchall_nt, fetchiter_nt
class HelpersTestCase(unittest.TestCase):
def test_cm_cursor(self):
"""
Creates a cont... | 38.456044 | 96 | 0.570796 | 841 | 6,999 | 4.526754 | 0.117717 | 0.161545 | 0.085106 | 0.059102 | 0.711321 | 0.635671 | 0.563961 | 0.515629 | 0.462832 | 0.401103 | 0 | 0.036431 | 0.3019 | 6,999 | 181 | 97 | 38.668508 | 0.742734 | 0.043863 | 0 | 0.531469 | 0 | 0 | 0.039369 | 0 | 0 | 0 | 0 | 0 | 0.377622 | 1 | 0.055944 | false | 0 | 0.034965 | 0 | 0.097902 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1be0f593e7493f91a2f96246f4cf8a9df42b366 | 1,367 | py | Python | electrumsv_sdk/builtin_components/electrumsv_server/local_tools.py | electrumsv/electrumsv-sdk | 2d4b9474b2e2fc5518bba10684c5d5130ffb6328 | [
"OML"
] | 4 | 2020-07-06T12:13:14.000Z | 2021-07-29T12:45:27.000Z | electrumsv_sdk/builtin_components/electrumsv_server/local_tools.py | electrumsv/electrumsv-sdk | 2d4b9474b2e2fc5518bba10684c5d5130ffb6328 | [
"OML"
] | 62 | 2020-07-04T04:50:27.000Z | 2021-08-19T21:06:10.000Z | electrumsv_sdk/builtin_components/electrumsv_server/local_tools.py | electrumsv/electrumsv-sdk | 2d4b9474b2e2fc5518bba10684c5d5130ffb6328 | [
"OML"
] | 3 | 2021-01-21T09:22:45.000Z | 2021-06-12T10:16:03.000Z | import logging
import typing
from electrumsv_sdk.utils import get_directory_name
COMPONENT_NAME = get_directory_name(__file__)
logger = logging.getLogger(COMPONENT_NAME)
if typing.TYPE_CHECKING:
from .electrumsv_server import Plugin
class LocalTools:
"""helper for operating on plugin-specific state (like... | 34.175 | 96 | 0.686906 | 168 | 1,367 | 5.261905 | 0.357143 | 0.091629 | 0.117647 | 0.126697 | 0.311086 | 0.311086 | 0.278281 | 0.154977 | 0 | 0 | 0 | 0.002825 | 0.223116 | 1,367 | 39 | 97 | 35.051282 | 0.829567 | 0.060717 | 0 | 0 | 0 | 0 | 0.096244 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.068966 | false | 0 | 0.137931 | 0 | 0.275862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f1be97cb28ba644933394a127fc92f299492f132 | 4,955 | py | Python | cluster/core/include/python/http_parser.py | JarryShaw/broapt | 5a6253af862cb618718d8fad69343a23ef2ac9e4 | [
"BSD-3-Clause"
] | 3 | 2020-04-25T08:47:55.000Z | 2020-11-04T11:18:21.000Z | cluster/core/include/python/http_parser.py | JarryShaw/broapt | 5a6253af862cb618718d8fad69343a23ef2ac9e4 | [
"BSD-3-Clause"
] | 11 | 2020-06-15T16:28:15.000Z | 2021-11-29T17:11:07.000Z | source/include/python/http_parser.py | JarryShaw/broapt | 5a6253af862cb618718d8fad69343a23ef2ac9e4 | [
"BSD-3-Clause"
] | 3 | 2019-07-24T02:41:37.000Z | 2021-12-06T09:38:58.000Z | # -*- coding: utf-8 -*-
# pylint: disable=all
import base64
import binascii
import contextlib
import math
import os
import textwrap
import time
import urllib.parse
from const import LOGS_PATH
from logparser import parse
from utils import is_nan, print_file
# from utils import IPAddressJSONEncoder, is_nan, print_file
... | 30.030303 | 128 | 0.594147 | 673 | 4,955 | 4.20951 | 0.210996 | 0.049418 | 0.038828 | 0.045182 | 0.340275 | 0.300741 | 0.261207 | 0.203318 | 0.203318 | 0.17155 | 0 | 0.007998 | 0.242987 | 4,955 | 164 | 129 | 30.213415 | 0.747267 | 0.134208 | 0 | 0.019608 | 0 | 0.019608 | 0.171368 | 0.070287 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0 | 0.107843 | 0 | 0.284314 | 0.107843 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |