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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fea776840ba3b32f75565766babfd041aa64ab68 | 1,830 | py | Python | environments/recommenders/recsim_wrapper_test.py | jackblandin/ml-fairness-gym | dce1feaacf2588e0a2d6187e896796241a25ed81 | [
"Apache-2.0"
] | null | null | null | environments/recommenders/recsim_wrapper_test.py | jackblandin/ml-fairness-gym | dce1feaacf2588e0a2d6187e896796241a25ed81 | [
"Apache-2.0"
] | null | null | null | environments/recommenders/recsim_wrapper_test.py | jackblandin/ml-fairness-gym | dce1feaacf2588e0a2d6187e896796241a25ed81 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2022 The ML Fairness Gym Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 31.551724 | 74 | 0.742623 | 240 | 1,830 | 5.408333 | 0.5 | 0.046225 | 0.03698 | 0.024653 | 0.389831 | 0.389831 | 0.340524 | 0.340524 | 0.340524 | 0.340524 | 0 | 0.013289 | 0.177596 | 1,830 | 57 | 75 | 32.105263 | 0.849169 | 0.337158 | 0 | 0.5 | 0 | 0 | 0.083822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.21875 | 0 | 0.3125 | 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 |
fea7d2eca288a3ef4c60e731703c65a5e9641808 | 3,034 | py | Python | moss_client_cli.py | mernst32/dl-searchcode-code | 504fe59df245ba123ad8ad6e45f03b17de6ef236 | [
"MIT"
] | null | null | null | moss_client_cli.py | mernst32/dl-searchcode-code | 504fe59df245ba123ad8ad6e45f03b17de6ef236 | [
"MIT"
] | null | null | null | moss_client_cli.py | mernst32/dl-searchcode-code | 504fe59df245ba123ad8ad6e45f03b17de6ef236 | [
"MIT"
] | null | null | null | import argparse
import csv
import os
from moss_client.core import submit_and_dl, parse_moss_reports
data_folder = 'data'
def handle_input(user_id, base_folder, parse, only_parse, join_file, batch):
global data_folder
abs_path = os.path.abspath(os.path.dirname(__file__))
root_data_folder = os.path.join(ab... | 57.245283 | 123 | 0.680949 | 438 | 3,034 | 4.493151 | 0.33105 | 0.04065 | 0.051829 | 0.028963 | 0.089939 | 0.051829 | 0.028455 | 0 | 0 | 0 | 0 | 0.006754 | 0.219183 | 3,034 | 52 | 124 | 58.346154 | 0.823976 | 0 | 0 | 0 | 0 | 0 | 0.354977 | 0.00857 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0 | 0.086957 | 0 | 0.130435 | 0.043478 | 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 |
fea81883e0bc239697344b2c58f07b4a45f346d3 | 6,495 | py | Python | catkin_ws/src/localization/src/localization_node.py | DiegoOrtegoP/Software | 4a07dd2dab29db910ca2e26848fa6b53b7ab00cd | [
"CC-BY-2.0"
] | 12 | 2016-04-14T12:21:46.000Z | 2021-06-18T07:51:40.000Z | catkin_ws/src/localization/src/localization_node.py | DiegoOrtegoP/Software | 4a07dd2dab29db910ca2e26848fa6b53b7ab00cd | [
"CC-BY-2.0"
] | 14 | 2017-03-03T23:33:05.000Z | 2018-04-03T18:07:53.000Z | catkin_ws/src/localization/src/localization_node.py | DiegoOrtegoP/Software | 4a07dd2dab29db910ca2e26848fa6b53b7ab00cd | [
"CC-BY-2.0"
] | 113 | 2016-05-03T06:11:42.000Z | 2019-06-01T14:37:38.000Z | #!/usr/bin/env python
import rospy
#from apriltags_ros.msg import AprilTagDetectionArray
from duckietown_msgs.msg import AprilTagsWithInfos
import tf2_ros
from tf2_msgs.msg import TFMessage
import tf.transformations as tr
from geometry_msgs.msg import Transform, TransformStamped
import numpy as np
from localization imp... | 45.41958 | 147 | 0.652194 | 915 | 6,495 | 4.47541 | 0.242623 | 0.017582 | 0.017582 | 0.014652 | 0.231013 | 0.196825 | 0.185104 | 0.169231 | 0.14188 | 0.122833 | 0 | 0.012477 | 0.247267 | 6,495 | 142 | 148 | 45.739437 | 0.825118 | 0.197383 | 0 | 0.134615 | 0 | 0 | 0.039507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.086538 | 0 | 0.211538 | 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 |
fea8219f00f084855cf10ddacc7d1729db19658a | 1,030 | py | Python | gen_data/get_teams.py | wusui/NCAA2019 | d33a69926dc2d5355f33f9b69e39475c54d03c56 | [
"MIT"
] | null | null | null | gen_data/get_teams.py | wusui/NCAA2019 | d33a69926dc2d5355f33f9b69e39475c54d03c56 | [
"MIT"
] | null | null | null | gen_data/get_teams.py | wusui/NCAA2019 | d33a69926dc2d5355f33f9b69e39475c54d03c56 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# pylint: disable=W0223
"""
Get a list of teams
"""
from html.parser import HTMLParser
import requests
class ChkTeams(HTMLParser):
"""
Extract team names from page
"""
def __init__(self):
HTMLParser.__init__(self)
self.retval = []
def handle_starttag(self, tag, a... | 20.196078 | 74 | 0.590291 | 130 | 1,030 | 4.492308 | 0.576923 | 0.05137 | 0.023973 | 0.041096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010753 | 0.27767 | 1,030 | 50 | 75 | 20.6 | 0.774194 | 0.163107 | 0 | 0 | 0 | 0 | 0.121287 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.08 | 0 | 0.32 | 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 |
fea8eab09203e9965fd3c37311110a5d329a6d18 | 2,882 | py | Python | svgserver/app.py | omniscale/svgserver | a98f75ec9547fda25941129e854af046ba8f5dfe | [
"Apache-2.0"
] | 2 | 2018-10-18T07:15:58.000Z | 2020-04-09T20:42:07.000Z | svgserver/app.py | omniscale/svgserver | a98f75ec9547fda25941129e854af046ba8f5dfe | [
"Apache-2.0"
] | null | null | null | svgserver/app.py | omniscale/svgserver | a98f75ec9547fda25941129e854af046ba8f5dfe | [
"Apache-2.0"
] | 2 | 2019-06-20T01:29:59.000Z | 2021-12-01T12:18:55.000Z | import codecs
import tempfile
from contextlib import closing
from .cgi import CGIClient
from .combine import CombineSVG
from .mapserv import MapServer, InternalError
from .tree import build_tree
def _recursive_add_layer(nodes, params, svg, mapserver, translations):
for node in nodes:
group_name = format... | 29.408163 | 90 | 0.586051 | 324 | 2,882 | 5.080247 | 0.37037 | 0.021871 | 0.030984 | 0.026731 | 0.071689 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040079 | 0.298751 | 2,882 | 97 | 91 | 29.71134 | 0.774369 | 0.010409 | 0 | 0.025 | 0 | 0 | 0.105614 | 0.024912 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1125 | 0 | 0.225 | 0.0125 | 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 |
feab97b0913494abc7216c346f3470dd95d2e154 | 1,001 | py | Python | test/lib_config_test.py | yokoyama-flogics/ibp_monitor_2 | 1a7df55a524ff3a7908df330e7e02c9f27e24ae0 | [
"BSD-2-Clause"
] | 3 | 2017-11-23T13:29:47.000Z | 2021-01-08T09:28:35.000Z | test/lib_config_test.py | yokoyama-flogics/ibp_monitor_2 | 1a7df55a524ff3a7908df330e7e02c9f27e24ae0 | [
"BSD-2-Clause"
] | null | null | null | test/lib_config_test.py | yokoyama-flogics/ibp_monitor_2 | 1a7df55a524ff3a7908df330e7e02c9f27e24ae0 | [
"BSD-2-Clause"
] | 2 | 2018-02-15T08:11:24.000Z | 2021-01-08T09:28:43.000Z | import os
import sys
import unittest
# Set Python search path to the parent directory
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from lib.config import *
class TestLibConfig(unittest.TestCase):
def test_config_noconfigfile(self):
config = BeaconConfigParser('not_exist.cfg')
wit... | 33.366667 | 70 | 0.679321 | 111 | 1,001 | 5.945946 | 0.477477 | 0.060606 | 0.059091 | 0.09697 | 0.260606 | 0.260606 | 0 | 0 | 0 | 0 | 0 | 0.006165 | 0.18981 | 1,001 | 29 | 71 | 34.517241 | 0.807645 | 0.045954 | 0 | 0.173913 | 0 | 0 | 0.12277 | 0 | 0 | 0 | 0 | 0 | 0.217391 | 1 | 0.130435 | false | 0 | 0.217391 | 0 | 0.391304 | 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 |
feb1c1e0c98bd37c082895d1888d0fe15b8aaccf | 19,367 | py | Python | claripy/vsa/valueset.py | kwalberg/claripy | b5cfa0a355eaa3cd5403e1d81f0b80bb3db20c90 | [
"BSD-2-Clause"
] | null | null | null | claripy/vsa/valueset.py | kwalberg/claripy | b5cfa0a355eaa3cd5403e1d81f0b80bb3db20c90 | [
"BSD-2-Clause"
] | null | null | null | claripy/vsa/valueset.py | kwalberg/claripy | b5cfa0a355eaa3cd5403e1d81f0b80bb3db20c90 | [
"BSD-2-Clause"
] | null | null | null | import functools
import itertools
import numbers
from ..backend_object import BackendObject
from ..annotation import Annotation
def normalize_types_two_args(f):
@functools.wraps(f)
def normalizer(self, region, o):
"""
Convert any object to an object that we can process.
"""
if ... | 29.795385 | 120 | 0.58357 | 2,290 | 19,367 | 4.758952 | 0.139738 | 0.043402 | 0.039824 | 0.014315 | 0.402826 | 0.343641 | 0.309782 | 0.267113 | 0.220316 | 0.183979 | 0 | 0.00224 | 0.331543 | 19,367 | 649 | 121 | 29.841294 | 0.839564 | 0.208241 | 0 | 0.339286 | 0 | 0 | 0.040863 | 0 | 0 | 0 | 0.000345 | 0.006163 | 0 | 1 | 0.139881 | false | 0.002976 | 0.029762 | 0.047619 | 0.342262 | 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 |
feb21c64003d71c234c911e57ed8a4baa217c7cb | 2,663 | py | Python | fardaastationapi.py | sina-cb/fardaastationapi | 0e27afe05195f346e17fd52e1c30b853c954a3b0 | [
"Apache-2.0"
] | null | null | null | fardaastationapi.py | sina-cb/fardaastationapi | 0e27afe05195f346e17fd52e1c30b853c954a3b0 | [
"Apache-2.0"
] | 1 | 2017-12-21T19:54:36.000Z | 2018-01-08T02:05:11.000Z | fardaastationapi.py | sina-cb/fardaastationapi | 0e27afe05195f346e17fd52e1c30b853c954a3b0 | [
"Apache-2.0"
] | null | null | null | import logging
from episodes import find_updates, db, count_all
from logging import error as logi
from flask import Flask, jsonify, request
def create_app(config, debug=False, testing=False, config_overrides=None):
app = Flask(__name__)
app.config.from_object(config)
app.config['JSON_AS_ASCII'] = False
... | 33.708861 | 119 | 0.592189 | 299 | 2,663 | 5.167224 | 0.438127 | 0.023301 | 0.014239 | 0.036246 | 0.045307 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01358 | 0.308674 | 2,663 | 78 | 120 | 34.141026 | 0.825638 | 0.065715 | 0 | 0.034483 | 0 | 0 | 0.29561 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12069 | false | 0.017241 | 0.086207 | 0.017241 | 0.327586 | 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 |
feb49cfe9fd1f9a9e260952a3552e9f39bc9e707 | 12,199 | py | Python | catapult.py | spraakbanken/sparv-catapult | 03273985ceea6feef47a56084c595580d0338f7d | [
"MIT"
] | null | null | null | catapult.py | spraakbanken/sparv-catapult | 03273985ceea6feef47a56084c595580d0338f7d | [
"MIT"
] | 2 | 2021-12-13T19:47:29.000Z | 2021-12-15T16:14:50.000Z | catapult.py | spraakbanken/sparv-catapult | 03273985ceea6feef47a56084c595580d0338f7d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# catapult: runs python scripts in already running processes to eliminate the
# python interpreter startup time.
#
# The lexicon for sparv.saldo.annotate and sparv.saldo.compound can be pre-loaded and
# shared between processes. See the variable annotators in handle and start.
#
# Run scripts in... | 32.617647 | 111 | 0.61792 | 1,511 | 12,199 | 4.848445 | 0.244209 | 0.019656 | 0.022523 | 0.01365 | 0.189189 | 0.142643 | 0.100191 | 0.069888 | 0.063882 | 0.063882 | 0 | 0.005835 | 0.283548 | 12,199 | 373 | 112 | 32.705094 | 0.83238 | 0.275268 | 0 | 0.211538 | 0 | 0 | 0.08759 | 0.002466 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0.004808 | 0.067308 | 0 | 0.149038 | 0.009615 | 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 |
feb55dc64767ea42fd4dbdb633eb49cefc5afea8 | 2,445 | py | Python | tests/test_sentiments.py | rajeshkumargp/TextBlob | a8709368f2a8a8ba4d87730111f8b6675d0735cd | [
"MIT"
] | 6,608 | 2015-01-02T13:13:16.000Z | 2022-03-31T13:44:41.000Z | tests/test_sentiments.py | rajeshkumargp/TextBlob | a8709368f2a8a8ba4d87730111f8b6675d0735cd | [
"MIT"
] | 277 | 2015-01-01T15:08:55.000Z | 2022-03-28T20:00:06.000Z | tests/test_sentiments.py | rajeshkumargp/TextBlob | a8709368f2a8a8ba4d87730111f8b6675d0735cd | [
"MIT"
] | 1,110 | 2015-01-01T22:04:39.000Z | 2022-03-20T20:39:26.000Z | from __future__ import unicode_literals
import unittest
from nose.tools import * # PEP8 asserts
from nose.plugins.attrib import attr
from textblob.sentiments import PatternAnalyzer, NaiveBayesAnalyzer, DISCRETE, CONTINUOUS
class TestPatternSentiment(unittest.TestCase):
def setUp(self):
self.analyzer = ... | 35.434783 | 89 | 0.685481 | 325 | 2,445 | 4.92 | 0.249231 | 0.110069 | 0.073171 | 0.095059 | 0.461538 | 0.399625 | 0.333959 | 0.212633 | 0.212633 | 0.1601 | 0 | 0.037461 | 0.213906 | 2,445 | 68 | 90 | 35.955882 | 0.794485 | 0.047035 | 0 | 0.230769 | 0 | 0 | 0.070937 | 0 | 0 | 0 | 0 | 0 | 0.384615 | 1 | 0.153846 | false | 0 | 0.096154 | 0.019231 | 0.307692 | 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 |
feb7b66503cd218d51059640f9914912cefb66a6 | 14,533 | py | Python | tests/scripts/thread-cert/test_network_layer.py | AdityaHPatwardhan/openthread | a201e9d5d0273bb51fa20efc8758be20a725018e | [
"BSD-3-Clause"
] | 2,962 | 2016-05-11T15:06:06.000Z | 2022-03-27T20:06:16.000Z | tests/scripts/thread-cert/test_network_layer.py | AdityaHPatwardhan/openthread | a201e9d5d0273bb51fa20efc8758be20a725018e | [
"BSD-3-Clause"
] | 5,899 | 2016-05-11T19:21:49.000Z | 2022-03-31T18:17:20.000Z | tests/scripts/thread-cert/test_network_layer.py | AdityaHPatwardhan/openthread | a201e9d5d0273bb51fa20efc8758be20a725018e | [
"BSD-3-Clause"
] | 1,113 | 2016-05-11T15:37:42.000Z | 2022-03-31T09:37:04.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2016, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# ... | 29.538618 | 103 | 0.718021 | 1,777 | 14,533 | 5.500281 | 0.141249 | 0.057704 | 0.037242 | 0.036935 | 0.606507 | 0.555044 | 0.436873 | 0.377225 | 0.352875 | 0.307755 | 0 | 0.009144 | 0.209867 | 14,533 | 491 | 104 | 29.598778 | 0.842027 | 0.134246 | 0 | 0.286385 | 0 | 0 | 0.001122 | 0 | 0 | 0 | 0 | 0 | 0.178404 | 1 | 0.187793 | false | 0 | 0.028169 | 0.042254 | 0.361502 | 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 |
feb8045cb4a0a0c1c1b374f1a7ddff3513dfcc95 | 7,079 | py | Python | salt/modules/kernelpkg_linux_apt.py | markgras/salt | d66cd3c935533c63870b83228b978ce43e0ef70d | [
"Apache-2.0"
] | 9,425 | 2015-01-01T05:59:24.000Z | 2022-03-31T20:44:05.000Z | salt/modules/kernelpkg_linux_apt.py | markgras/salt | d66cd3c935533c63870b83228b978ce43e0ef70d | [
"Apache-2.0"
] | 33,507 | 2015-01-01T00:19:56.000Z | 2022-03-31T23:48:20.000Z | salt/modules/kernelpkg_linux_apt.py | markgras/salt | d66cd3c935533c63870b83228b978ce43e0ef70d | [
"Apache-2.0"
] | 5,810 | 2015-01-01T19:11:45.000Z | 2022-03-31T02:37:20.000Z | """
Manage Linux kernel packages on APT-based systems
"""
import functools
import logging
import re
try:
from salt.utils.versions import LooseVersion as _LooseVersion
from salt.exceptions import CommandExecutionError
HAS_REQUIRED_LIBS = True
except ImportError:
HAS_REQUIRED_LIBS = False
log = loggin... | 24.49481 | 98 | 0.638932 | 858 | 7,079 | 5.081585 | 0.241259 | 0.029817 | 0.028899 | 0.03922 | 0.182339 | 0.155505 | 0.124312 | 0.064679 | 0.022936 | 0 | 0 | 0.004733 | 0.253849 | 7,079 | 288 | 99 | 24.579861 | 0.820712 | 0.418703 | 0 | 0.04 | 0 | 0 | 0.152616 | 0.006235 | 0 | 0 | 0 | 0 | 0 | 1 | 0.13 | false | 0 | 0.07 | 0 | 0.42 | 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 |
feb9338f0d564ca62f3ee051a6a33301b2ea1017 | 1,818 | py | Python | main.py | david-slatinek/running-a-program-on-the-CPU-vs.-on-the-GPU | 971b911efee8f52c5950ba777b79e58a4f840024 | [
"Apache-2.0"
] | null | null | null | main.py | david-slatinek/running-a-program-on-the-CPU-vs.-on-the-GPU | 971b911efee8f52c5950ba777b79e58a4f840024 | [
"Apache-2.0"
] | null | null | null | main.py | david-slatinek/running-a-program-on-the-CPU-vs.-on-the-GPU | 971b911efee8f52c5950ba777b79e58a4f840024 | [
"Apache-2.0"
] | null | null | null | import json
import numpy as np
from numba import jit
from timeit import default_timer as timer
# Constant, used in the formula.
# Defined here to speed up the calculation, i.e. it's calculated only once
# and then placed in the formula.
SQRT_2PI = np.float32(np.sqrt(2 * np.pi))
# This function will run on the CPU.
d... | 25.605634 | 98 | 0.633663 | 263 | 1,818 | 4.273764 | 0.406844 | 0.048932 | 0.029359 | 0.033808 | 0.22242 | 0.190391 | 0.147687 | 0.147687 | 0.147687 | 0.147687 | 0 | 0.020513 | 0.249175 | 1,818 | 70 | 99 | 25.971429 | 0.80293 | 0.356986 | 0 | 0.25 | 0 | 0 | 0.017953 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.21875 | 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 |
227dbc607b392dad80b7a078ce5ee4e6eb5704f6 | 5,605 | py | Python | utility_functions.py | Team-501-The-PowerKnights/Powerknights-Slack-Bot | 1ce25c954aa0c089aa93a3d63bd475d585d39bb6 | [
"Apache-2.0"
] | 1 | 2019-05-03T13:20:09.000Z | 2019-05-03T13:20:09.000Z | utility_functions.py | Team-501-The-PowerKnights/Powerknights-Slack-Bot | 1ce25c954aa0c089aa93a3d63bd475d585d39bb6 | [
"Apache-2.0"
] | 8 | 2019-05-04T17:06:21.000Z | 2020-05-29T12:37:06.000Z | utility_functions.py | Team-501-The-PowerKnights/Powerknights-Slack-Bot | 1ce25c954aa0c089aa93a3d63bd475d585d39bb6 | [
"Apache-2.0"
] | null | null | null | import datetime
def iso_extract_info(string):
"""
Will get all of the info and return it as an array
:param string: ISO formatted string that will be used for extraction
:return: array [year, month, day, military_time_hour, minutes, hours]
:note: every item is an int except for minutes
... | 31.846591 | 106 | 0.662979 | 814 | 5,605 | 4.355037 | 0.167076 | 0.028773 | 0.058674 | 0.057546 | 0.635825 | 0.601975 | 0.583357 | 0.516502 | 0.493935 | 0.473061 | 0 | 0.034324 | 0.225513 | 5,605 | 175 | 107 | 32.028571 | 0.782308 | 0.316503 | 0 | 0.576923 | 0 | 0 | 0.056769 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0 | 0.009615 | 0 | 0.278846 | 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 |
228079c406da2849bf07a999b9fbe4042daf4300 | 1,424 | py | Python | python/ch_06_Animatronic_Head.py | tallamjr/mbms | 6763faa870d1a16f272b3eade70b433ed3df0e51 | [
"MIT"
] | 18 | 2018-06-07T07:11:59.000Z | 2022-02-28T20:08:23.000Z | python/ch_06_Animatronic_Head.py | tallamjr/mbms | 6763faa870d1a16f272b3eade70b433ed3df0e51 | [
"MIT"
] | 1 | 2020-05-20T16:24:24.000Z | 2020-05-21T09:03:24.000Z | python/ch_06_Animatronic_Head.py | tallamjr/mbms | 6763faa870d1a16f272b3eade70b433ed3df0e51 | [
"MIT"
] | 8 | 2019-04-10T16:04:11.000Z | 2022-01-08T20:39:15.000Z | from microbit import *
import random, speech, radio
eye_angles = [50, 140, 60, 90, 140]
radio.off()
sentences = [
"Hello my name is Mike",
"What is your name",
"I am looking at you",
"Exterminate exterminate exterminate",
"Number Five is alive",
"I cant do that Dave",
"daisee daisee give ... | 21.575758 | 67 | 0.525281 | 174 | 1,424 | 4.206897 | 0.522989 | 0.040984 | 0.053279 | 0.046448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134844 | 0.349017 | 1,424 | 66 | 68 | 21.575758 | 0.6548 | 0.019663 | 0 | 0.25 | 0 | 0 | 0.182079 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0 | 0.038462 | 0 | 0.096154 | 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 |
2283023fbf32c038ed31074c2a312a5a7aa70d38 | 5,248 | py | Python | src/hammer-vlsi/technology/sky130/sram_compiler/__init__.py | httpsgithu/hammer | 6099f4169a49f71cee2e24bb1052f273039505cd | [
"BSD-3-Clause"
] | 138 | 2017-08-15T18:56:55.000Z | 2022-03-29T05:23:37.000Z | src/hammer-vlsi/technology/sky130/sram_compiler/__init__.py | httpsgithu/hammer | 6099f4169a49f71cee2e24bb1052f273039505cd | [
"BSD-3-Clause"
] | 444 | 2017-09-11T01:15:37.000Z | 2022-03-31T17:30:33.000Z | src/hammer-vlsi/technology/sky130/sram_compiler/__init__.py | httpsgithu/hammer | 6099f4169a49f71cee2e24bb1052f273039505cd | [
"BSD-3-Clause"
] | 33 | 2017-10-30T14:23:53.000Z | 2022-03-25T01:36:13.000Z |
import os, tempfile, subprocess
from hammer_vlsi import MMMCCorner, MMMCCornerType, HammerTool, HammerToolStep, HammerSRAMGeneratorTool, SRAMParameters
from hammer_vlsi.units import VoltageValue, TemperatureValue
from hammer_tech import Library, ExtraLibrary
from typing import NamedTuple, Dict, Any, List
from abc imp... | 51.960396 | 126 | 0.582127 | 667 | 5,248 | 4.428786 | 0.290855 | 0.043331 | 0.037238 | 0.047393 | 0.459716 | 0.416385 | 0.391672 | 0.374069 | 0.287745 | 0.287745 | 0 | 0.01435 | 0.282965 | 5,248 | 100 | 127 | 52.48 | 0.770662 | 0.391578 | 0 | 0 | 0 | 0 | 0.131997 | 0.02799 | 0 | 0 | 0 | 0.01 | 0 | 1 | 0.056604 | false | 0 | 0.113208 | 0.037736 | 0.264151 | 0.018868 | 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 |
2283626d76b9fe6781848e584e29b4b24ab5e062 | 2,837 | py | Python | Section 4/nlp-4-ngrams.py | PacktPublishing/Hands-on-NLP-with-NLTK-and-scikit-learn- | 8bb2095093a822363675368a4216d30d14cac501 | [
"MIT"
] | 34 | 2018-08-14T09:59:13.000Z | 2021-11-08T13:12:50.000Z | Section 4/nlp-4-ngrams.py | anapatgl/Hands-on-NLP-with-NLTK-and-scikit-learn- | 8bb2095093a822363675368a4216d30d14cac501 | [
"MIT"
] | 1 | 2018-11-28T19:20:37.000Z | 2018-11-28T19:20:37.000Z | Section 4/nlp-4-ngrams.py | anapatgl/Hands-on-NLP-with-NLTK-and-scikit-learn- | 8bb2095093a822363675368a4216d30d14cac501 | [
"MIT"
] | 31 | 2018-08-07T07:34:33.000Z | 2022-03-15T08:50:44.000Z | import collections
import nltk
import os
from sklearn import (
datasets, model_selection, feature_extraction, linear_model, naive_bayes,
ensemble
)
def extract_features(corpus):
'''Extract TF-IDF features from corpus'''
sa_stop_words = nltk.corpus.stopwords.words("english")
# words that might in... | 36.844156 | 90 | 0.70638 | 382 | 2,837 | 5.028796 | 0.473822 | 0.01874 | 0.01874 | 0.026028 | 0.091098 | 0.052056 | 0 | 0 | 0 | 0 | 0 | 0.009988 | 0.152979 | 2,837 | 76 | 91 | 37.328947 | 0.78943 | 0.131477 | 0 | 0 | 0 | 0 | 0.164831 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.075472 | 0 | 0.113208 | 0.132075 | 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 |
2284b104a47dc324bd27f42ce83e41850b152d6c | 27,170 | py | Python | nemo/collections/tts/torch/data.py | MalikIdreesHasanKhan/NeMo | 984fd34921e81659c4594a22ab142311808b3bb7 | [
"Apache-2.0"
] | 4,145 | 2019-09-13T08:29:43.000Z | 2022-03-31T18:31:44.000Z | nemo/collections/tts/torch/data.py | MalikIdreesHasanKhan/NeMo | 984fd34921e81659c4594a22ab142311808b3bb7 | [
"Apache-2.0"
] | 2,031 | 2019-09-17T16:51:39.000Z | 2022-03-31T23:52:41.000Z | nemo/collections/tts/torch/data.py | MalikIdreesHasanKhan/NeMo | 984fd34921e81659c4594a22ab142311808b3bb7 | [
"Apache-2.0"
] | 1,041 | 2019-09-13T10:08:21.000Z | 2022-03-30T06:37:38.000Z | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 42.386895 | 147 | 0.61325 | 3,373 | 27,170 | 4.68989 | 0.12689 | 0.02124 | 0.027119 | 0.034389 | 0.325368 | 0.275049 | 0.225299 | 0.197042 | 0.154435 | 0.107719 | 0 | 0.004432 | 0.302392 | 27,170 | 640 | 148 | 42.453125 | 0.830115 | 0.180199 | 0 | 0.236025 | 0 | 0 | 0.076466 | 0.010872 | 0 | 0 | 0 | 0 | 0.00207 | 1 | 0.039337 | false | 0.006211 | 0.031056 | 0.00207 | 0.093168 | 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 |
2284c119fbaa59ef00a4dd53417eccef839221b3 | 1,140 | py | Python | anmotordesign/server.py | MarkWengSTR/ansys-maxwell-online | f9bbc535c7637d8f34abb241acfb97d1bdbe4103 | [
"MIT"
] | 8 | 2021-01-25T11:17:32.000Z | 2022-03-29T05:34:47.000Z | anmotordesign/server.py | MarkWengSTR/ansys-maxwell-online | f9bbc535c7637d8f34abb241acfb97d1bdbe4103 | [
"MIT"
] | 1 | 2021-06-14T18:40:16.000Z | 2021-08-25T14:37:21.000Z | anmotordesign/server.py | MarkWengSTR/ansys-maxwell-online | f9bbc535c7637d8f34abb241acfb97d1bdbe4103 | [
"MIT"
] | 8 | 2020-09-25T15:40:07.000Z | 2022-03-29T05:34:48.000Z | from flask import Flask, request, jsonify
from flask_cors import CORS
from run import run_ansys
from api.validate import spec_present, data_type_validate, spec_keys_validate, ansys_overload_check
ansys_processing_count = 0
# debug
# import ipdb; ipdb.set_trace()
app = Flask(__name__)
CORS(app) # local development co... | 25.909091 | 99 | 0.62193 | 140 | 1,140 | 4.75 | 0.421429 | 0.090226 | 0.120301 | 0.075188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012926 | 0.253509 | 1,140 | 43 | 100 | 26.511628 | 0.768508 | 0.050877 | 0 | 0 | 0 | 0 | 0.131725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.121212 | 0 | 0.212121 | 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 |
228727092b8b8c1cbde1234be034bd7032daae7a | 1,488 | py | Python | admin_tools/urls.py | aucoeur/WeVoteServer | 7b30bdbb59d6e0c19abc81237aa42fba7de1a432 | [
"MIT"
] | 44 | 2015-11-19T04:52:39.000Z | 2021-03-17T02:08:26.000Z | admin_tools/urls.py | aucoeur/WeVoteServer | 7b30bdbb59d6e0c19abc81237aa42fba7de1a432 | [
"MIT"
] | 748 | 2015-09-03T04:18:33.000Z | 2022-03-10T14:08:10.000Z | admin_tools/urls.py | aucoeur/WeVoteServer | 7b30bdbb59d6e0c19abc81237aa42fba7de1a432 | [
"MIT"
] | 145 | 2015-09-19T10:10:44.000Z | 2022-03-04T21:01:12.000Z | # admin_tools/urls.py
# Brought to you by We Vote. Be good.
# -*- coding: UTF-8 -*-
from django.conf.urls import re_path
from . import views
urlpatterns = [
re_path(r'^$', views.admin_home_view, name='admin_home',),
re_path(r'^data_cleanup/$', views.data_cleanup_view, name='data_cleanup'),
re_path(r'^dat... | 55.111111 | 108 | 0.78293 | 209 | 1,488 | 5.052632 | 0.210526 | 0.1875 | 0.072917 | 0.072917 | 0.569129 | 0.387311 | 0.056818 | 0 | 0 | 0 | 0 | 0.000746 | 0.099462 | 1,488 | 26 | 109 | 57.230769 | 0.787313 | 0.051747 | 0 | 0 | 0 | 0 | 0.396588 | 0.312011 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 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 |
22875dd3eed7789c404cf71dae058c78660c2f50 | 3,414 | py | Python | hippynn/graphs/nodes/base/multi.py | tautomer/hippynn | df4504a5ea4680cfc61f490984dcddeac7ed99ee | [
"BSD-3-Clause"
] | 21 | 2021-11-17T00:56:35.000Z | 2022-03-22T05:57:11.000Z | hippynn/graphs/nodes/base/multi.py | tautomer/hippynn | df4504a5ea4680cfc61f490984dcddeac7ed99ee | [
"BSD-3-Clause"
] | 4 | 2021-12-17T16:16:53.000Z | 2022-03-16T23:50:38.000Z | hippynn/graphs/nodes/base/multi.py | tautomer/hippynn | df4504a5ea4680cfc61f490984dcddeac7ed99ee | [
"BSD-3-Clause"
] | 6 | 2021-11-30T21:09:31.000Z | 2022-03-18T07:07:32.000Z | """
A base node that provides several output tensors.
"""
from ....layers.algebra import Idx
from .base import SingleNode, Node
from .. import _debprint
from ...indextypes import IdxType
class IndexNode(SingleNode):
_input_names = ("parent",)
def __init__(self, name, parents, index, index_state=None):
... | 38.795455 | 110 | 0.626245 | 399 | 3,414 | 5.022556 | 0.295739 | 0.082335 | 0.042415 | 0.02994 | 0.021956 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000811 | 0.277973 | 3,414 | 87 | 111 | 39.241379 | 0.81217 | 0.070592 | 0 | 0.044118 | 0 | 0 | 0.093038 | 0 | 0 | 0 | 0 | 0 | 0.044118 | 1 | 0.102941 | false | 0.014706 | 0.058824 | 0 | 0.323529 | 0.014706 | 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 |
228856c2bad586d523ebf387bffc058ae9b589d7 | 4,151 | py | Python | barber/cutter.py | LSSTDESC/barber | 9dbe69e69a078ef3b70a316807517e2a4d4e60cd | [
"MIT"
] | null | null | null | barber/cutter.py | LSSTDESC/barber | 9dbe69e69a078ef3b70a316807517e2a4d4e60cd | [
"MIT"
] | 6 | 2020-04-28T15:20:08.000Z | 2020-04-28T15:37:02.000Z | barber/cutter.py | LSSTDESC/barber | 9dbe69e69a078ef3b70a316807517e2a4d4e60cd | [
"MIT"
] | null | null | null | import numpy as np
import numpy.random as npr
import scipy.optimize as spo
import tomo_challenge.metrics as tcm
# custom data type, could be replaced with/tie in to tree.py class
# cut_vals is (nfeat, nbins - 1) numpy array, float
# tree_ids is ((nbins,) * nfeat) numpy array, int
TreePars = namedtuple('TreePars', ['cu... | 35.478632 | 261 | 0.685859 | 586 | 4,151 | 4.757679 | 0.343003 | 0.022597 | 0.019727 | 0.012912 | 0.078192 | 0.03802 | 0.03802 | 0.03802 | 0.03802 | 0.03802 | 0 | 0.004589 | 0.212479 | 4,151 | 116 | 262 | 35.784483 | 0.848272 | 0.55312 | 0 | 0.05 | 0 | 0 | 0.014607 | 0 | 0 | 0 | 0 | 0 | 0.05 | 1 | 0.125 | false | 0.025 | 0.1 | 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 |
2288f93227622fced04679bfe49afbad16de4e0a | 480 | py | Python | examples/transfer/highscore.py | coding-world/matrix_max7219 | 3126604ee400a9ec1d25797f6957a2eae8a3f33c | [
"MIT"
] | null | null | null | examples/transfer/highscore.py | coding-world/matrix_max7219 | 3126604ee400a9ec1d25797f6957a2eae8a3f33c | [
"MIT"
] | null | null | null | examples/transfer/highscore.py | coding-world/matrix_max7219 | 3126604ee400a9ec1d25797f6957a2eae8a3f33c | [
"MIT"
] | null | null | null | import shelve
regal = shelve.open('score.txt')
def updateScore(neuerScore):
if('score' in regal):
score = regal['score']
if(neuerScore not in score):
score.insert(0, neuerScore)
score.sort()
ranking = score.index(neuerScore)
ranking = len(score)-ranking
else:
score = [neuerScore]
... | 20 | 46 | 0.66875 | 58 | 480 | 5.534483 | 0.465517 | 0.093458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005208 | 0.2 | 480 | 24 | 47 | 20 | 0.830729 | 0 | 0 | 0 | 0 | 0 | 0.089397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.157895 | 0.105263 | 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 |
2289dcddf267c6a1a0e8cb907450531ad79de492 | 493 | py | Python | urban-sound-classification/feature_merge.py | tensorflow-korea/tfk-notebooks | 67831acce7f435500377bf03e6bd9d15fdd5f1bc | [
"MIT"
] | 50 | 2016-06-18T12:52:29.000Z | 2021-12-10T07:13:20.000Z | urban-sound-classification/feature_merge.py | tensorflow-korea/tfk-notebooks | 67831acce7f435500377bf03e6bd9d15fdd5f1bc | [
"MIT"
] | null | null | null | urban-sound-classification/feature_merge.py | tensorflow-korea/tfk-notebooks | 67831acce7f435500377bf03e6bd9d15fdd5f1bc | [
"MIT"
] | 51 | 2016-04-30T16:38:05.000Z | 2021-01-15T18:12:03.000Z | import glob
import numpy as np
X = np.empty((0, 193))
y = np.empty((0, 10))
groups = np.empty((0, 1))
npz_files = glob.glob('./urban_sound_?.npz')
for fn in npz_files:
print(fn)
data = np.load(fn)
X = np.append(X, data['X'], axis=0)
y = np.append(y, data['y'], axis=0)
groups = np.append(groups, dat... | 22.409091 | 54 | 0.602434 | 94 | 493 | 3.106383 | 0.329787 | 0.071918 | 0.082192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037688 | 0.192698 | 493 | 21 | 55 | 23.47619 | 0.69598 | 0 | 0 | 0 | 0 | 0 | 0.077079 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 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 |
228ad78fbc730707861e4c8d9c262be93d22bf72 | 485 | py | Python | program/program/trackers/TrackerCorrelation.py | JankaSvK/thesis | c440ab8242b058f580fdf9d5a1d00708a1696561 | [
"MIT"
] | 1 | 2018-11-29T14:13:47.000Z | 2018-11-29T14:13:47.000Z | program/program/trackers/TrackerCorrelation.py | JankaSvK/thesis | c440ab8242b058f580fdf9d5a1d00708a1696561 | [
"MIT"
] | 3 | 2018-04-24T18:30:00.000Z | 2018-05-11T23:25:07.000Z | program/program/trackers/TrackerCorrelation.py | JankaSvK/thesis | c440ab8242b058f580fdf9d5a1d00708a1696561 | [
"MIT"
] | null | null | null | import dlib
class CorrelationTracker(object):
def init(self, image, bbox):
self.tracker = dlib.correlation_tracker()
x, y, x2, y2 = bbox
x2 += x
y2 += y
self.tracker.start_track(image, dlib.rectangle(x, y, x2, y2))
return True
def update(self, image):
s... | 28.529412 | 96 | 0.585567 | 64 | 485 | 4.390625 | 0.453125 | 0.156584 | 0.02847 | 0.042705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016901 | 0.268041 | 485 | 16 | 97 | 30.3125 | 0.774648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.461538 | 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 |
228b9e5c3d1a55dd867bb42f9e9fbbc7ed2e9fc5 | 10,684 | py | Python | SROMPy/optimize/ObjectiveFunction.py | jwarner308/SROMPy | 12007e4cd99c88446f10974a93050405c5cd925b | [
"Apache-2.0"
] | 23 | 2018-05-13T05:13:03.000Z | 2022-01-29T19:43:28.000Z | SROMPy/optimize/ObjectiveFunction.py | jwarner308/SROMPy | 12007e4cd99c88446f10974a93050405c5cd925b | [
"Apache-2.0"
] | 11 | 2018-03-28T13:13:44.000Z | 2022-03-30T18:56:57.000Z | SROMPy/optimize/ObjectiveFunction.py | jwarner308/SROMPy | 12007e4cd99c88446f10974a93050405c5cd925b | [
"Apache-2.0"
] | 19 | 2018-06-01T14:49:30.000Z | 2022-03-05T05:02:06.000Z | # Copyright 2018 United States Government as represented by the Administrator of
# the National Aeronautics and Space Administration. No copyright is claimed in
# the United States under Title 17, U.S. Code. All Other Rights Reserved.
# The Stochastic Reduced Order Models with Python (SROMPy) platform is licensed
# un... | 37.356643 | 80 | 0.624579 | 1,340 | 10,684 | 4.79403 | 0.210448 | 0.02802 | 0.020237 | 0.032379 | 0.292653 | 0.206258 | 0.179328 | 0.151308 | 0.148661 | 0.128113 | 0 | 0.010097 | 0.295489 | 10,684 | 285 | 81 | 37.487719 | 0.843364 | 0.321041 | 0 | 0.288889 | 0 | 0 | 0.092944 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.02963 | 0 | 0.17037 | 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 |
228bb0a969acb617ccc7d0b12b1281bd81283a5f | 4,016 | py | Python | test/utils.py | vasili-v/distcovery | e07882d55ebe2e4fd78a720764803e6b3e8cbc7d | [
"MIT"
] | null | null | null | test/utils.py | vasili-v/distcovery | e07882d55ebe2e4fd78a720764803e6b3e8cbc7d | [
"MIT"
] | null | null | null | test/utils.py | vasili-v/distcovery | e07882d55ebe2e4fd78a720764803e6b3e8cbc7d | [
"MIT"
] | null | null | null | import os
import errno
import sys
def mock_directory_tree(tree):
tree = dict([(os.path.join(*key), value) \
for key, value in tree.iteritems()])
def listdir(path):
try:
names = tree[path]
except KeyError:
raise OSError(errno.ENOENT, os.strerror(err... | 36.844037 | 80 | 0.493775 | 430 | 4,016 | 4.202326 | 0.139535 | 0.154953 | 0.126176 | 0.077476 | 0.449917 | 0.39845 | 0.351965 | 0.279469 | 0.194245 | 0.140564 | 0 | 0 | 0.372012 | 4,016 | 108 | 81 | 37.185185 | 0.716495 | 0 | 0 | 0.181818 | 0 | 0 | 0.248817 | 0.037111 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102273 | false | 0 | 0.045455 | 0 | 0.238636 | 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 |
228d8328feac3519c1eb966b9a43a964120c8c6c | 1,369 | py | Python | tests/test_parser_create_site_users.py | WillAyd/tabcmd | 1ba4a6ce1586b5ec4286aca0edff0fbaa1c69f15 | [
"MIT"
] | null | null | null | tests/test_parser_create_site_users.py | WillAyd/tabcmd | 1ba4a6ce1586b5ec4286aca0edff0fbaa1c69f15 | [
"MIT"
] | null | null | null | tests/test_parser_create_site_users.py | WillAyd/tabcmd | 1ba4a6ce1586b5ec4286aca0edff0fbaa1c69f15 | [
"MIT"
] | null | null | null | import sys
import unittest
try:
from unittest import mock
except ImportError:
import mock
import argparse
from tabcmd.parsers.create_site_users_parser import CreateSiteUsersParser
from .common_setup import *
commandname = 'createsiteusers'
class CreateSiteUsersParserTest(unittest.TestCase):
@classmethod... | 37 | 90 | 0.720964 | 172 | 1,369 | 5.430233 | 0.331395 | 0.051392 | 0.06424 | 0.06424 | 0.357602 | 0.299786 | 0.24197 | 0.24197 | 0.24197 | 0.11349 | 0 | 0.000896 | 0.184806 | 1,369 | 36 | 91 | 38.027778 | 0.836022 | 0 | 0 | 0.103448 | 0 | 0 | 0.073776 | 0 | 0 | 0 | 0 | 0 | 0.103448 | 1 | 0.137931 | false | 0 | 0.275862 | 0 | 0.448276 | 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 |
228e4efae17879a415faffa2bdf7cfbc08f32c9f | 1,078 | py | Python | secretsmanager_env.py | iarlyy/secretsmanager-env | 3a34a4e9561e4651fa2975ff6f32b00ef0c0ca73 | [
"MIT"
] | 1 | 2020-02-13T17:11:29.000Z | 2020-02-13T17:11:29.000Z | secretsmanager_env.py | iarlyy/secretsmanager-env | 3a34a4e9561e4651fa2975ff6f32b00ef0c0ca73 | [
"MIT"
] | null | null | null | secretsmanager_env.py | iarlyy/secretsmanager-env | 3a34a4e9561e4651fa2975ff6f32b00ef0c0ca73 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import argparse
import json
import os
import boto3
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description='''\
Output following the defined format.
Options are:
dotenv - dotenv style [default]
export - shell export style
std... | 24.5 | 99 | 0.670686 | 125 | 1,078 | 5.672 | 0.528 | 0.067701 | 0.03385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003421 | 0.186456 | 1,078 | 43 | 100 | 25.069767 | 0.805017 | 0.018553 | 0 | 0.057143 | 0 | 0 | 0.273415 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.114286 | 0 | 0.114286 | 0.085714 | 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 |
228e74b0f9248fe2ef101b86260ca316c5578c5c | 1,730 | py | Python | 109.py | juandarr/ProjectEuler | 951705ac62f550d7fbecdc3f35ab8c38b53b9225 | [
"MIT"
] | null | null | null | 109.py | juandarr/ProjectEuler | 951705ac62f550d7fbecdc3f35ab8c38b53b9225 | [
"MIT"
] | null | null | null | 109.py | juandarr/ProjectEuler | 951705ac62f550d7fbecdc3f35ab8c38b53b9225 | [
"MIT"
] | null | null | null | """
Finds the number of distinct ways a player can checkout a score less than 100
Author: Juan Rios
"""
import math
def checkout_solutions(checkout,sequence,idx_sq,d):
'''
returns the number of solution for a given checkout value
'''
counter = 0
for double in d:
if double>checkout:
... | 28.360656 | 128 | 0.540462 | 239 | 1,730 | 3.811715 | 0.280335 | 0.038419 | 0.052689 | 0.023052 | 0.308452 | 0.262349 | 0.262349 | 0.127333 | 0.127333 | 0.127333 | 0 | 0.042895 | 0.353179 | 1,730 | 61 | 128 | 28.360656 | 0.771224 | 0.088439 | 0 | 0.229167 | 0 | 0 | 0.055305 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.020833 | 0 | 0.104167 | 0.020833 | 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 |
228eb608e052e061a5945151be48c2a98a56d133 | 1,758 | py | Python | setup.py | kinnala/gammy | 85237d424001f77f296d724c95c8dec5803a8e1e | [
"MIT"
] | null | null | null | setup.py | kinnala/gammy | 85237d424001f77f296d724c95c8dec5803a8e1e | [
"MIT"
] | null | null | null | setup.py | kinnala/gammy | 85237d424001f77f296d724c95c8dec5803a8e1e | [
"MIT"
] | null | null | null | import os
from setuptools import setup, find_packages
import versioneer
if __name__ == "__main__":
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
meta = {}
base_dir = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(base_dir, 'gammy', '_m... | 30.842105 | 75 | 0.513083 | 150 | 1,758 | 5.733333 | 0.673333 | 0.034884 | 0.023256 | 0.032558 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003556 | 0.360068 | 1,758 | 57 | 76 | 30.842105 | 0.760889 | 0 | 0 | 0.078431 | 0 | 0 | 0.291643 | 0.012507 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.058824 | 0.019608 | 0.098039 | 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 |
2290bfd1c4b65da8f41f786b9bf73bcded25e4b1 | 4,203 | py | Python | predictors/scene_predictor.py | XenonLamb/higan | 6e7b47f91df23d8d6075d95921e664c9fa4f1306 | [
"MIT"
] | 83 | 2020-03-11T21:20:59.000Z | 2022-03-17T10:08:27.000Z | predictors/scene_predictor.py | XenonLamb/higan | 6e7b47f91df23d8d6075d95921e664c9fa4f1306 | [
"MIT"
] | 8 | 2020-04-16T14:37:42.000Z | 2021-09-20T20:18:06.000Z | predictors/scene_predictor.py | billzhonggz/higan | 168f24f7e3969bc8dc580e2c997463e76644c17f | [
"MIT"
] | 19 | 2020-04-13T02:55:51.000Z | 2022-01-28T06:37:25.000Z | # python 3.7
"""Predicts the scene category, attribute."""
import numpy as np
from PIL import Image
import torch
import torch.nn.functional as F
import torchvision.transforms as transforms
from .base_predictor import BasePredictor
from .scene_wideresnet import resnet18
__all__ = ['ScenePredictor']
N... | 36.232759 | 79 | 0.647395 | 543 | 4,203 | 4.793738 | 0.292818 | 0.054937 | 0.020745 | 0.020745 | 0.176719 | 0.122935 | 0.061468 | 0.022282 | 0 | 0 | 0 | 0.019988 | 0.238163 | 4,203 | 115 | 80 | 36.547826 | 0.792942 | 0.064716 | 0 | 0 | 0 | 0 | 0.107632 | 0.014737 | 0 | 0 | 0 | 0 | 0.081395 | 1 | 0.05814 | false | 0 | 0.081395 | 0.011628 | 0.174419 | 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 |
2291547d5512bbb1bda47b665f654ae2a6cde5f2 | 652 | py | Python | src/etc/gec/3.py | iml1111/algorithm-study | f21f6f9f43235248f3496f034a899f2314ab6fcc | [
"MIT"
] | null | null | null | src/etc/gec/3.py | iml1111/algorithm-study | f21f6f9f43235248f3496f034a899f2314ab6fcc | [
"MIT"
] | null | null | null | src/etc/gec/3.py | iml1111/algorithm-study | f21f6f9f43235248f3496f034a899f2314ab6fcc | [
"MIT"
] | null | null | null | from collections import deque
def solution(N, bus_stop):
answer = [[1300 for _ in range(N)] for _ in range(N)]
bus_stop = [(x-1, y-1) for x,y in bus_stop]
q = deque(bus_stop)
for x,y in bus_stop:
answer[x][y] = 0
while q:
x, y = q.popleft()
for nx, ny in ((x-1, y), (x+1, y)... | 27.166667 | 63 | 0.45092 | 105 | 652 | 2.657143 | 0.304762 | 0.057348 | 0.032258 | 0.078853 | 0.229391 | 0.229391 | 0 | 0 | 0 | 0 | 0 | 0.046455 | 0.372699 | 652 | 24 | 64 | 27.166667 | 0.635697 | 0 | 0 | 0 | 0 | 0 | 0.012251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0 | 0.142857 | 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 |
22941cdcf437ea8fe9f771e15f228dacff7fbb5f | 5,452 | py | Python | plaso/parsers/winreg_plugins/usbstor.py | berggren/plaso | 2658c80c5076f97a9a27272e73997bde8c39e875 | [
"Apache-2.0"
] | 2 | 2020-02-09T01:11:08.000Z | 2021-09-17T04:16:31.000Z | plaso/parsers/winreg_plugins/usbstor.py | berggren/plaso | 2658c80c5076f97a9a27272e73997bde8c39e875 | [
"Apache-2.0"
] | null | null | null | plaso/parsers/winreg_plugins/usbstor.py | berggren/plaso | 2658c80c5076f97a9a27272e73997bde8c39e875 | [
"Apache-2.0"
] | 1 | 2021-03-17T09:47:01.000Z | 2021-03-17T09:47:01.000Z | # -*- coding: utf-8 -*-
"""File containing a Windows Registry plugin to parse the USBStor key."""
from __future__ import unicode_literals
from plaso.containers import events
from plaso.containers import time_events
from plaso.lib import definitions
from plaso.parsers import logger
from plaso.parsers import winreg
fro... | 37.6 | 80 | 0.716985 | 644 | 5,452 | 5.807453 | 0.270186 | 0.043316 | 0.012834 | 0.02246 | 0.290107 | 0.22139 | 0.21016 | 0.21016 | 0.21016 | 0.21016 | 0 | 0.003485 | 0.210565 | 5,452 | 144 | 81 | 37.861111 | 0.865474 | 0.238995 | 0 | 0.204819 | 0 | 0 | 0.065191 | 0.026322 | 0 | 0 | 0 | 0.006944 | 0 | 1 | 0.024096 | false | 0 | 0.084337 | 0 | 0.180723 | 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 |
229d03edb58694ea053e0d0cf56108a3ca34b32c | 17,257 | py | Python | rltoolkit/rltoolkit/acm/off_policy/ddpg_acm.py | MIMUW-RL/spp-rl | 86b96cdd220cc4eae86f7cfd26924c69b498dcc6 | [
"MIT"
] | 7 | 2020-06-15T12:25:53.000Z | 2021-11-03T01:08:47.000Z | rltoolkit/rltoolkit/acm/off_policy/ddpg_acm.py | MIMUW-RL/spp-rl | 86b96cdd220cc4eae86f7cfd26924c69b498dcc6 | [
"MIT"
] | null | null | null | rltoolkit/rltoolkit/acm/off_policy/ddpg_acm.py | MIMUW-RL/spp-rl | 86b96cdd220cc4eae86f7cfd26924c69b498dcc6 | [
"MIT"
] | 1 | 2020-12-21T11:21:22.000Z | 2020-12-21T11:21:22.000Z | import numpy as np
import torch
from torch.nn import functional as F
from rltoolkit.acm.off_policy import AcMOffPolicy
from rltoolkit.algorithms import DDPG
from rltoolkit.algorithms.ddpg.models import Actor, Critic
class DDPG_AcM(AcMOffPolicy, DDPG):
def __init__(
self, unbiased_update: bool = False, cu... | 39.042986 | 157 | 0.589963 | 2,098 | 17,257 | 4.577216 | 0.13775 | 0.094762 | 0.058315 | 0.043736 | 0.364261 | 0.257732 | 0.180464 | 0.13652 | 0.097886 | 0.050817 | 0 | 0.007116 | 0.3241 | 17,257 | 441 | 158 | 39.131519 | 0.816187 | 0.102915 | 0 | 0.17134 | 0 | 0 | 0.057514 | 0.011621 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05296 | false | 0 | 0.018692 | 0.006231 | 0.096573 | 0.006231 | 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 |
22a0ba4419e5d5479b0eea3b85e6ded458dffecb | 13,025 | py | Python | pelutils/logger.py | peleiden/pelutils | 9860734c0e06481aa58a9f767a4cfb5129cb48ec | [
"BSD-3-Clause"
] | 3 | 2021-02-28T13:03:12.000Z | 2022-01-01T09:53:33.000Z | pelutils/logger.py | peleiden/pelutils | 9860734c0e06481aa58a9f767a4cfb5129cb48ec | [
"BSD-3-Clause"
] | 72 | 2020-10-13T09:20:01.000Z | 2022-02-26T09:12:21.000Z | pelutils/logger.py | peleiden/pelutils | 9860734c0e06481aa58a9f767a4cfb5129cb48ec | [
"BSD-3-Clause"
] | null | null | null | from __future__ import annotations
import os
import traceback as tb
from collections import defaultdict
from enum import IntEnum
from functools import update_wrapper
from itertools import chain
from typing import Any, Callable, DefaultDict, Generator, Iterable, Optional
from pelutils import get_timestamp, get_repo
fro... | 36.080332 | 123 | 0.61666 | 1,651 | 13,025 | 4.638401 | 0.190793 | 0.036432 | 0.022068 | 0.01567 | 0.199399 | 0.161792 | 0.161792 | 0.135414 | 0.131235 | 0.121572 | 0 | 0.002874 | 0.278618 | 13,025 | 360 | 124 | 36.180556 | 0.812154 | 0.116238 | 0 | 0.115672 | 0 | 0 | 0.078199 | 0.009709 | 0 | 0 | 0 | 0 | 0 | 1 | 0.149254 | false | 0.007463 | 0.037313 | 0.033582 | 0.339552 | 0.123134 | 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 |
22a11f4324f76cab0ee6ba121cab810e162f6104 | 10,942 | py | Python | tests/test_metrics.py | aaxelb/django-elasticsearch-metrics | 8a02ffc57f57257843834d4f84c41480f4e27fbd | [
"MIT"
] | 5 | 2018-08-21T19:48:39.000Z | 2021-04-01T22:11:31.000Z | tests/test_metrics.py | aaxelb/django-elasticsearch-metrics | 8a02ffc57f57257843834d4f84c41480f4e27fbd | [
"MIT"
] | 18 | 2018-07-26T16:04:53.000Z | 2018-08-30T19:31:30.000Z | tests/test_metrics.py | aaxelb/django-elasticsearch-metrics | 8a02ffc57f57257843834d4f84c41480f4e27fbd | [
"MIT"
] | 5 | 2019-04-01T17:47:08.000Z | 2022-01-28T17:23:11.000Z | import mock
import pytest
import datetime as dt
from django.utils import timezone
from elasticsearch_metrics import metrics
from elasticsearch_dsl import IndexTemplate
from elasticsearch_metrics import signals
from elasticsearch_metrics.exceptions import (
IndexTemplateNotFoundError,
IndexTemplateOutOfSyncErro... | 39.501805 | 88 | 0.683787 | 1,245 | 10,942 | 5.673092 | 0.148594 | 0.069942 | 0.040776 | 0.01699 | 0.529237 | 0.395724 | 0.344046 | 0.273963 | 0.23701 | 0.190571 | 0 | 0.009791 | 0.225279 | 10,942 | 276 | 89 | 39.644928 | 0.823405 | 0.025224 | 0 | 0.253394 | 0 | 0 | 0.114843 | 0.034434 | 0 | 0 | 0 | 0.003623 | 0.276018 | 1 | 0.095023 | false | 0.004525 | 0.040724 | 0 | 0.239819 | 0.19457 | 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 |
22a1b8da531316fb6c21092916dd14f6945d1c1d | 1,924 | py | Python | tests/unit/test_iris_helpers.py | jvegreg/ESMValCore | 03eb1c942bf1dc3be98cb30c3592b42e82a94f16 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_iris_helpers.py | jvegreg/ESMValCore | 03eb1c942bf1dc3be98cb30c3592b42e82a94f16 | [
"Apache-2.0"
] | 2 | 2022-03-02T16:16:06.000Z | 2022-03-10T12:58:49.000Z | tests/unit/test_iris_helpers.py | valeriupredoi/ESMValCore | b46b948c47d8579d997b28501f8588f5531aa354 | [
"Apache-2.0"
] | null | null | null | """Tests for :mod:`esmvalcore.iris_helpers`."""
import datetime
import iris
import numpy as np
import pytest
from cf_units import Unit
from esmvalcore.iris_helpers import date2num, var_name_constraint
@pytest.fixture
def cubes():
"""Test cubes."""
cubes = iris.cube.CubeList([
iris.cube.Cube(0.0, var... | 33.172414 | 72 | 0.677755 | 281 | 1,924 | 4.459075 | 0.217082 | 0.089385 | 0.122107 | 0.072626 | 0.57063 | 0.554669 | 0.463687 | 0.3751 | 0.3751 | 0.3751 | 0 | 0.028501 | 0.161123 | 1,924 | 57 | 73 | 33.754386 | 0.747831 | 0.057692 | 0 | 0.363636 | 0 | 0 | 0.045075 | 0 | 0 | 0 | 0 | 0 | 0.136364 | 1 | 0.090909 | false | 0 | 0.136364 | 0.022727 | 0.272727 | 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 |
22a33ada09a97d4c429f1c99f360e9ceb37d5903 | 771 | py | Python | figures/plot_log_figure_paper.py | davidADSP/deepAI_paper | f612e80aa0e8507444228940c54554a83bc16119 | [
"MIT"
] | 21 | 2017-09-09T18:41:40.000Z | 2022-03-16T06:50:00.000Z | figures/plot_log_figure_paper.py | davidADSP/deepAI_paper | f612e80aa0e8507444228940c54554a83bc16119 | [
"MIT"
] | null | null | null | figures/plot_log_figure_paper.py | davidADSP/deepAI_paper | f612e80aa0e8507444228940c54554a83bc16119 | [
"MIT"
] | 6 | 2017-09-09T18:41:53.000Z | 2022-02-25T08:11:40.000Z | import numpy
import matplotlib.pyplot as plt
fig_convergence = plt.figure(1,figsize=(12,6))
x = numpy.loadtxt('log_deepAI_paper_nonlin_action_long.txt')
plt.subplot(122)
plt.plot(x[:,0])
plt.xlim([0,500])
plt.ylim([-10,200])
plt.xlabel('Steps')
plt.ylabel('Free Action')
plt.axvline(x=230.0,linestyle=':')
plt.axvline... | 24.09375 | 76 | 0.657588 | 127 | 771 | 3.913386 | 0.496063 | 0.112676 | 0.066398 | 0.036217 | 0.265594 | 0.132797 | 0.132797 | 0 | 0 | 0 | 0 | 0.099849 | 0.142672 | 771 | 31 | 77 | 24.870968 | 0.652042 | 0 | 0 | 0.333333 | 0 | 0 | 0.124514 | 0.050584 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 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 |
22a452c901b5e5a2bc4953164caa1bd099196d19 | 2,938 | py | Python | setup.py | matiasgrana/nagios_sql | 7858b852cf539da418a1a289e8c06e386b62287a | [
"MIT"
] | null | null | null | setup.py | matiasgrana/nagios_sql | 7858b852cf539da418a1a289e8c06e386b62287a | [
"MIT"
] | 4 | 2017-08-08T13:42:39.000Z | 2019-11-25T10:29:29.000Z | setup.py | matiasgrana/nagios_sql | 7858b852cf539da418a1a289e8c06e386b62287a | [
"MIT"
] | 4 | 2019-01-28T13:58:09.000Z | 2019-11-29T14:01:07.000Z | #! python3
# Help from: http://www.scotttorborg.com/python-packaging/minimal.html
# https://docs.python.org/3/distutils/commandref.html#sdist-cmd
# https://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
# https://docs.python.org/3.4/tutorial/modules.html
# Install it with python setup.py ins... | 32.285714 | 84 | 0.636147 | 353 | 2,938 | 5.184136 | 0.467422 | 0.040984 | 0.02459 | 0.029508 | 0.105464 | 0.095082 | 0.052459 | 0.052459 | 0.052459 | 0.052459 | 0 | 0.005798 | 0.236896 | 2,938 | 90 | 85 | 32.644444 | 0.810437 | 0.299523 | 0 | 0 | 0 | 0 | 0.314428 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.075472 | 0 | 0.09434 | 0.018868 | 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 |
22a4a9fee06a32718975fa561659e922ae3f756e | 1,838 | py | Python | textnn/utils/test/test_progress_iterator.py | tongr/TextNN | a0294a197d3be284177214e8f019e9fed13dff1a | [
"Apache-2.0"
] | 1 | 2019-03-08T12:12:45.000Z | 2019-03-08T12:12:45.000Z | textnn/utils/test/test_progress_iterator.py | tongr/TextNN | a0294a197d3be284177214e8f019e9fed13dff1a | [
"Apache-2.0"
] | 16 | 2019-02-14T11:51:30.000Z | 2019-06-11T08:25:53.000Z | textnn/utils/test/test_progress_iterator.py | tongr/TextNN | a0294a197d3be284177214e8f019e9fed13dff1a | [
"Apache-2.0"
] | null | null | null | import io
import sys
from textnn.utils import ProgressIterator
#inspired by https://stackoverflow.com/a/34738440
def capture_sysout(cmd):
capturedOutput = io.StringIO() # Create StringIO object
sys.stdout = capturedOutput # and redirect stdout.
cmd() ... | 34.679245 | 76 | 0.541349 | 210 | 1,838 | 4.657143 | 0.319048 | 0.08998 | 0.0409 | 0.04908 | 0.588957 | 0.588957 | 0.588957 | 0.509202 | 0.509202 | 0.509202 | 0 | 0.042674 | 0.235038 | 1,838 | 52 | 77 | 35.346154 | 0.652916 | 0.280196 | 0 | 0.5625 | 0 | 0 | 0.041284 | 0 | 0 | 0 | 0 | 0 | 0.375 | 1 | 0.15625 | false | 0 | 0.09375 | 0 | 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 |
22a5f31f1b502fe38b7dada2cca91916da3eb320 | 24,973 | py | Python | pyvisa_py/highlevel.py | Handfeger/pyvisa-py | fcfb45895cd44dd922985c3a9d8f3372c8318d63 | [
"MIT"
] | 1 | 2019-03-25T20:26:16.000Z | 2019-03-25T20:26:16.000Z | pyvisa_py/highlevel.py | Handfeger/pyvisa-py | fcfb45895cd44dd922985c3a9d8f3372c8318d63 | [
"MIT"
] | null | null | null | pyvisa_py/highlevel.py | Handfeger/pyvisa-py | fcfb45895cd44dd922985c3a9d8f3372c8318d63 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Highlevel wrapper of the VISA Library.
:copyright: 2014-2020 by PyVISA-py Authors, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
import random
from collections import OrderedDict
from typing import Any, Dict, Iterable, List, Optional, Tuple, Union, cast
fr... | 31.893997 | 88 | 0.610019 | 2,640 | 24,973 | 5.680682 | 0.159848 | 0.019004 | 0.037341 | 0.04901 | 0.4979 | 0.461159 | 0.419084 | 0.386944 | 0.359272 | 0.328332 | 0 | 0.001993 | 0.317022 | 24,973 | 782 | 89 | 31.934783 | 0.877287 | 0.436351 | 0 | 0.408397 | 0 | 0 | 0.036045 | 0 | 0 | 0 | 0 | 0 | 0.007634 | 1 | 0.103053 | false | 0.015267 | 0.083969 | 0 | 0.354962 | 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 |
22a63f951029bec63e4f61cb892764b3e55fdcae | 13,219 | py | Python | detectron/utils/webly_vis.py | sisrfeng/NA-fWebSOD | 49cb75a9a0d557b05968c6b11b0f17a7043f2077 | [
"Apache-2.0"
] | 23 | 2020-03-30T11:48:33.000Z | 2022-03-11T06:34:31.000Z | detectron/utils/webly_vis.py | sisrfeng/NA-fWebSOD | 49cb75a9a0d557b05968c6b11b0f17a7043f2077 | [
"Apache-2.0"
] | 9 | 2020-09-28T07:15:16.000Z | 2022-03-25T08:11:06.000Z | detectron/utils/webly_vis.py | sisrfeng/NA-fWebSOD | 49cb75a9a0d557b05968c6b11b0f17a7043f2077 | [
"Apache-2.0"
] | 10 | 2020-03-30T11:48:34.000Z | 2021-06-02T06:12:36.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import cv2
import numpy as np
import os
import math
from PIL import Image, ImageDraw, ImageFont
from caffe2.python import workspace
from detectron.core.config import cf... | 37.341808 | 87 | 0.504577 | 1,711 | 13,219 | 3.644652 | 0.135593 | 0.028223 | 0.040411 | 0.051956 | 0.550513 | 0.50898 | 0.444997 | 0.36594 | 0.310295 | 0.269885 | 0 | 0.035761 | 0.367501 | 13,219 | 353 | 88 | 37.447592 | 0.710083 | 0.069219 | 0 | 0.305455 | 0 | 0 | 0.031811 | 0.006036 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025455 | false | 0.003636 | 0.043636 | 0 | 0.083636 | 0.003636 | 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 |
22a72547959131b60da1f328cdda0445ca0ed7eb | 13,740 | py | Python | salt/runner.py | StepOneInc/salt | ee210172c37bf0cee224794cd696b38e288e4073 | [
"Apache-2.0"
] | 1 | 2016-04-26T03:42:32.000Z | 2016-04-26T03:42:32.000Z | salt/runner.py | apergos/salt | 106c715d495a9c2bd747c8ca75745236b0d7fb41 | [
"Apache-2.0"
] | null | null | null | salt/runner.py | apergos/salt | 106c715d495a9c2bd747c8ca75745236b0d7fb41 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Execute salt convenience routines
'''
# Import python libs
from __future__ import print_function
from __future__ import absolute_import
import collections
import logging
import time
import sys
import multiprocessing
# Import salt libs
import salt.exceptions
import salt.loader
import salt.m... | 37.135135 | 118 | 0.527365 | 1,496 | 13,740 | 4.737299 | 0.235963 | 0.022577 | 0.011853 | 0.012417 | 0.158036 | 0.111472 | 0.071681 | 0.071681 | 0.071681 | 0.071681 | 0 | 0.012828 | 0.364556 | 13,740 | 369 | 119 | 37.235772 | 0.798878 | 0.252766 | 0 | 0.171296 | 0 | 0 | 0.113062 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050926 | false | 0.00463 | 0.083333 | 0 | 0.194444 | 0.027778 | 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 |
22a8bf88232fd22e170f70f6a4d8e344cbe114aa | 4,257 | py | Python | pong-pg.py | s-gv/pong-keras | 38a0f25ae0e628f357512d085dc957720d83ece2 | [
"0BSD"
] | null | null | null | pong-pg.py | s-gv/pong-keras | 38a0f25ae0e628f357512d085dc957720d83ece2 | [
"0BSD"
] | null | null | null | pong-pg.py | s-gv/pong-keras | 38a0f25ae0e628f357512d085dc957720d83ece2 | [
"0BSD"
] | null | null | null | # Copyright (c) 2019 Sagar Gubbi. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import sys
import numpy as np
import gym
import tensorflow as tf
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Input,... | 33.257813 | 116 | 0.597369 | 581 | 4,257 | 4.263339 | 0.375215 | 0.039968 | 0.016149 | 0.021801 | 0.248688 | 0.193783 | 0.176827 | 0.176827 | 0.152604 | 0.152604 | 0 | 0.040645 | 0.271788 | 4,257 | 127 | 117 | 33.519685 | 0.758387 | 0.183463 | 0 | 0.224719 | 0 | 0 | 0.087246 | 0.023188 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05618 | false | 0 | 0.089888 | 0 | 0.168539 | 0.044944 | 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 |
22a8ec1abea9d6f95b972cc7b4d65ddb840ef8b2 | 2,962 | py | Python | dexp/cli/dexp_commands/crop.py | JoOkuma/dexp | 6d9003384605b72f387d38b5befa29e4e2246af8 | [
"BSD-3-Clause"
] | null | null | null | dexp/cli/dexp_commands/crop.py | JoOkuma/dexp | 6d9003384605b72f387d38b5befa29e4e2246af8 | [
"BSD-3-Clause"
] | null | null | null | dexp/cli/dexp_commands/crop.py | JoOkuma/dexp | 6d9003384605b72f387d38b5befa29e4e2246af8 | [
"BSD-3-Clause"
] | null | null | null | import click
from arbol.arbol import aprint, asection
from dexp.cli.defaults import DEFAULT_CLEVEL, DEFAULT_CODEC, DEFAULT_STORE
from dexp.cli.parsing import _get_output_path, _parse_channels, _parse_chunks
from dexp.datasets.open_dataset import glob_datasets
from dexp.datasets.operations.crop import dataset_crop
@c... | 32.549451 | 117 | 0.660365 | 359 | 2,962 | 5.281337 | 0.348189 | 0.063819 | 0.05538 | 0.063291 | 0.082278 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008082 | 0.20628 | 2,962 | 90 | 118 | 32.911111 | 0.798384 | 0.013842 | 0 | 0.13253 | 0 | 0.012048 | 0.274348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012048 | false | 0 | 0.072289 | 0 | 0.084337 | 0.024096 | 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 |
22a950c4c4a0d6a5d8ae35400f9dc583d0a56a66 | 2,287 | py | Python | morse_DMT/write_dipha_file_3d_revise.py | YinuoJin/DMT_loss | c6e66cb7997b7cd5616156faaf294e350e77c4c2 | [
"MIT"
] | 1 | 2021-12-06T13:06:55.000Z | 2021-12-06T13:06:55.000Z | morse_DMT/write_dipha_file_3d_revise.py | YinuoJin/DMT_loss | c6e66cb7997b7cd5616156faaf294e350e77c4c2 | [
"MIT"
] | null | null | null | morse_DMT/write_dipha_file_3d_revise.py | YinuoJin/DMT_loss | c6e66cb7997b7cd5616156faaf294e350e77c4c2 | [
"MIT"
] | null | null | null | import sys
from matplotlib import image as mpimg
import numpy as np
import os
DIPHA_CONST = 8067171840
DIPHA_IMAGE_TYPE_CONST = 1
DIM = 3
input_dir = os.path.join(os.getcwd(), sys.argv[1])
dipha_output_filename = sys.argv[2]
vert_filename = sys.argv[3]
input_filenames = [name
for nam... | 29.701299 | 119 | 0.584609 | 335 | 2,287 | 3.865672 | 0.292537 | 0.07722 | 0.098842 | 0.044015 | 0.171429 | 0.135907 | 0.135907 | 0.112741 | 0.112741 | 0.06332 | 0 | 0.025672 | 0.284652 | 2,287 | 76 | 120 | 30.092105 | 0.765892 | 0.082204 | 0 | 0.203704 | 0 | 0 | 0.056168 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.074074 | 0 | 0.074074 | 0.12963 | 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 |
22aabcb0f1d4d4e04e99859300806fd807e56ef4 | 1,223 | py | Python | MetropolisMCMC.py | unrealTOM/MC | 5a4cdf1ee11ef3d438f24dd38e894731103448ac | [
"MIT"
] | 4 | 2020-04-11T09:54:27.000Z | 2021-08-18T07:06:52.000Z | MetropolisMCMC.py | unrealTOM/MC | 5a4cdf1ee11ef3d438f24dd38e894731103448ac | [
"MIT"
] | null | null | null | MetropolisMCMC.py | unrealTOM/MC | 5a4cdf1ee11ef3d438f24dd38e894731103448ac | [
"MIT"
] | 5 | 2019-01-22T03:47:17.000Z | 2022-02-14T18:09:07.000Z | import numpy as np
import matplotlib.pyplot as plt
import math
def normal(mu,sigma,x): #normal distribution
return 1/(math.pi*2)**0.5/sigma*np.exp(-(x-mu)**2/2/sigma**2)
def eval(x):
return normal(-4,1,x) + normal(4,1,x)
#return 0.3*np.exp(-0.2*x**2)+0.7*np.exp(-0.2*(x-10)**2)
def ref(x_star,x): #normal... | 29.829268 | 71 | 0.623058 | 236 | 1,223 | 3.182203 | 0.360169 | 0.046605 | 0.023968 | 0.066578 | 0.245007 | 0.130493 | 0 | 0 | 0 | 0 | 0 | 0.081592 | 0.17825 | 1,223 | 40 | 72 | 30.575 | 0.665672 | 0.277187 | 0 | 0 | 0 | 0 | 0.06865 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0.1 | 0.3 | 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 |
22ac5683811849c14d8a103b4887cbd79b2ac236 | 9,338 | py | Python | core/simulators/carla_scenario_simulator.py | RangiLyu/DI-drive | f7db2e7b19d70c05184d6d6edae6b7e035a324d7 | [
"Apache-2.0"
] | null | null | null | core/simulators/carla_scenario_simulator.py | RangiLyu/DI-drive | f7db2e7b19d70c05184d6d6edae6b7e035a324d7 | [
"Apache-2.0"
] | null | null | null | core/simulators/carla_scenario_simulator.py | RangiLyu/DI-drive | f7db2e7b19d70c05184d6d6edae6b7e035a324d7 | [
"Apache-2.0"
] | null | null | null | import os
from typing import Any, Dict, List, Optional
import carla
from core.simulators.carla_simulator import CarlaSimulator
from core.simulators.carla_data_provider import CarlaDataProvider
from .srunner.scenarios.route_scenario import RouteScenario, SCENARIO_CLASS_DICT
from .srunner.scenariomanager.scenario_mana... | 41.502222 | 119 | 0.624331 | 1,057 | 9,338 | 5.306528 | 0.257332 | 0.019611 | 0.015154 | 0.009093 | 0.116777 | 0.096096 | 0.069531 | 0.058477 | 0.058477 | 0.058477 | 0 | 0.005521 | 0.301671 | 9,338 | 224 | 120 | 41.6875 | 0.854624 | 0.310666 | 0 | 0.104478 | 0 | 0 | 0.032507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052239 | false | 0 | 0.052239 | 0.007463 | 0.134328 | 0.029851 | 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 |
22ad0b38c724e88cb9ecf306aa56fd0fb313ec45 | 3,325 | py | Python | features/hdf_features.py | DerekYJC/bmi_python | 7b9cf3f294a33688db24b0863c1035e9cc6999ea | [
"Apache-2.0"
] | null | null | null | features/hdf_features.py | DerekYJC/bmi_python | 7b9cf3f294a33688db24b0863c1035e9cc6999ea | [
"Apache-2.0"
] | null | null | null | features/hdf_features.py | DerekYJC/bmi_python | 7b9cf3f294a33688db24b0863c1035e9cc6999ea | [
"Apache-2.0"
] | null | null | null | '''
HDF-saving features
'''
import time
import tempfile
import random
import traceback
import numpy as np
import fnmatch
import os, sys
import subprocess
from riglib import calibrations, bmi
from riglib.bmi import extractor
from riglib.experiment import traits
import hdfwriter
class SaveHDF(object):
'''
Saves... | 31.367925 | 127 | 0.61203 | 401 | 3,325 | 5.0399 | 0.38404 | 0.039584 | 0.047501 | 0.028699 | 0.067293 | 0.067293 | 0.038595 | 0.038595 | 0 | 0 | 0 | 0.004234 | 0.289624 | 3,325 | 105 | 128 | 31.666667 | 0.851397 | 0.294737 | 0 | 0.070175 | 0 | 0 | 0.097816 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140351 | false | 0 | 0.245614 | 0.017544 | 0.438596 | 0.105263 | 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 |
22ad9d02328e75faf184ffbf1cc357191c9ff796 | 7,979 | py | Python | tf_crnn/libs/infer.py | sunmengnan/city_brain | 478f0b974f4491b4201956f37b83ce6860712bc8 | [
"MIT"
] | null | null | null | tf_crnn/libs/infer.py | sunmengnan/city_brain | 478f0b974f4491b4201956f37b83ce6860712bc8 | [
"MIT"
] | null | null | null | tf_crnn/libs/infer.py | sunmengnan/city_brain | 478f0b974f4491b4201956f37b83ce6860712bc8 | [
"MIT"
] | null | null | null | import time
import os
import math
import numpy as np
from libs import utils
from libs.img_dataset import ImgDataset
from nets.crnn import CRNN
from nets.cnn.paper_cnn import PaperCNN
import shutil
def calculate_accuracy(predicts, labels):
"""
:param predicts: encoded predict result
:param labels: ground... | 36.104072 | 105 | 0.628525 | 1,045 | 7,979 | 4.495694 | 0.164593 | 0.040868 | 0.02086 | 0.02533 | 0.386122 | 0.298212 | 0.269689 | 0.258408 | 0.239676 | 0.167305 | 0 | 0.008609 | 0.257551 | 7,979 | 220 | 106 | 36.268182 | 0.784436 | 0.067427 | 0 | 0.158621 | 0 | 0 | 0.081251 | 0.002868 | 0 | 0 | 0 | 0.004545 | 0.006897 | 1 | 0.034483 | false | 0 | 0.062069 | 0 | 0.131034 | 0.041379 | 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 |
22ae7c79d1d1030557cb109b5f2d23a5d5fb88a4 | 5,706 | py | Python | modules/templates/RLPPTM/tools/mis.py | nursix/rlpptm | e7b50b2fdf6277aed5f198ca10ad773c5ca0b947 | [
"MIT"
] | 1 | 2022-03-21T21:58:30.000Z | 2022-03-21T21:58:30.000Z | modules/templates/RLPPTM/tools/mis.py | nursix/rlpptm | e7b50b2fdf6277aed5f198ca10ad773c5ca0b947 | [
"MIT"
] | null | null | null | modules/templates/RLPPTM/tools/mis.py | nursix/rlpptm | e7b50b2fdf6277aed5f198ca10ad773c5ca0b947 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Helper Script for Mass-Invitation of Participant Organisations
#
# RLPPTM Template Version 1.0
#
# Execute in web2py folder after code upgrade like:
# python web2py.py -S eden -M -R applications/eden/modules/templates/RLPPTM/tools/mis.py
#
import os
import sys
from core import s3_format_dat... | 35.222222 | 88 | 0.45496 | 508 | 5,706 | 5.033465 | 0.336614 | 0.023465 | 0.015252 | 0.013297 | 0.027376 | 0.013297 | 0 | 0 | 0 | 0 | 0 | 0.007624 | 0.425342 | 5,706 | 161 | 89 | 35.440994 | 0.772187 | 0.119699 | 0 | 0.162393 | 0 | 0 | 0.072615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017094 | false | 0 | 0.042735 | 0 | 0.059829 | 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 |
22aeec83fb0e871521d1f1a2e9afa8b18858d4b4 | 728 | py | Python | engine/test_sysctl.py | kingsd041/os-tests | 2ea57cb6f1da534633a4670ccb83d40300989886 | [
"Apache-2.0"
] | null | null | null | engine/test_sysctl.py | kingsd041/os-tests | 2ea57cb6f1da534633a4670ccb83d40300989886 | [
"Apache-2.0"
] | null | null | null | engine/test_sysctl.py | kingsd041/os-tests | 2ea57cb6f1da534633a4670ccb83d40300989886 | [
"Apache-2.0"
] | null | null | null | # coding = utf-8
# Create date: 2018-11-05
# Author :Hailong
def test_sysctl(ros_kvm_with_paramiko, cloud_config_url):
command = 'sudo cat /proc/sys/kernel/domainname'
feed_back = 'test'
client = ros_kvm_with_paramiko(cloud_config='{url}/test_sysctl.yml'.format(url=cloud_config_url))
stdin, stdout, st... | 36.4 | 101 | 0.68956 | 107 | 728 | 4.457944 | 0.46729 | 0.067086 | 0.08805 | 0.075472 | 0.42348 | 0.42348 | 0.42348 | 0 | 0 | 0 | 0 | 0.026016 | 0.15522 | 728 | 19 | 102 | 38.315789 | 0.749594 | 0.074176 | 0 | 0 | 0 | 0 | 0.164179 | 0.108955 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 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 |
22aeecf51ba4f5585bf276df470496e100ee4eac | 3,310 | py | Python | paprika_sync/core/management/commands/import_recipes_from_file.py | grschafer/paprika-sync | 8b6fcd6246557bb79009fa9355fd4d588fb8ed90 | [
"MIT"
] | null | null | null | paprika_sync/core/management/commands/import_recipes_from_file.py | grschafer/paprika-sync | 8b6fcd6246557bb79009fa9355fd4d588fb8ed90 | [
"MIT"
] | null | null | null | paprika_sync/core/management/commands/import_recipes_from_file.py | grschafer/paprika-sync | 8b6fcd6246557bb79009fa9355fd4d588fb8ed90 | [
"MIT"
] | null | null | null | import json
import logging
from django.core.management.base import BaseCommand
from django.db import transaction
from paprika_sync.core.models import PaprikaAccount
from paprika_sync.core.serializers import RecipeSerializer, CategorySerializer
from paprika_sync.core.utils import log_start_end
logger = logging.getLo... | 35.978261 | 135 | 0.578248 | 375 | 3,310 | 4.981333 | 0.298667 | 0.025696 | 0.036403 | 0.030514 | 0.140257 | 0.125268 | 0.110278 | 0.043897 | 0.043897 | 0.043897 | 0 | 0 | 0.322659 | 3,310 | 91 | 136 | 36.373626 | 0.833185 | 0.080665 | 0 | 0.090909 | 0 | 0 | 0.224382 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.242424 | 0 | 0.30303 | 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 |
22b29bb3979813975d0a62cdf7e26438790eeb19 | 448 | py | Python | output/models/ms_data/element/elem_q017_xsd/elem_q017.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/ms_data/element/elem_q017_xsd/elem_q017.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/ms_data/element/elem_q017_xsd/elem_q017.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
@dataclass
class FooTest:
class Meta:
name = "fooTest"
value: str = field(
init=False,
default="Hello"
)
@dataclass
class Root:
class Meta:
name = "root"
foo_test: str = field(
init=False,
default="Hello",... | 15.448276 | 40 | 0.5 | 41 | 448 | 5.439024 | 0.560976 | 0.125561 | 0.116592 | 0.152466 | 0.26009 | 0.26009 | 0 | 0 | 0 | 0 | 0 | 0 | 0.386161 | 448 | 28 | 41 | 16 | 0.810909 | 0 | 0 | 0.272727 | 0 | 0 | 0.113839 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.318182 | 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 |
22b2c7ab0a465a4d5e5a4f3cd082436d406520c8 | 43,545 | py | Python | contrib_src/predict.py | modelhub-ai/mic-dkfz-brats | 4522a26442f1e323f97aa45fbd5047bfe9029b2b | [
"MIT"
] | 1 | 2020-01-09T11:45:26.000Z | 2020-01-09T11:45:26.000Z | contrib_src/predict.py | modelhub-ai/mic-dkfz-brats | 4522a26442f1e323f97aa45fbd5047bfe9029b2b | [
"MIT"
] | null | null | null | contrib_src/predict.py | modelhub-ai/mic-dkfz-brats | 4522a26442f1e323f97aa45fbd5047bfe9029b2b | [
"MIT"
] | null | null | null | import json
import os
from collections import OrderedDict
from copy import deepcopy
import SimpleITK as sitk
from batchgenerators.augmentations.utils import resize_segmentation # resize_softmax_output
from skimage.transform import resize
from torch.optim import lr_scheduler
from torch import nn
import numpy as np
impor... | 43.807847 | 206 | 0.610288 | 5,743 | 43,545 | 4.347205 | 0.101515 | 0.018265 | 0.018625 | 0.013619 | 0.409998 | 0.32348 | 0.275375 | 0.2503 | 0.21353 | 0.192101 | 0 | 0.016607 | 0.286439 | 43,545 | 993 | 207 | 43.851964 | 0.786882 | 0.057021 | 0 | 0.247043 | 0 | 0 | 0.033667 | 0.002746 | 0 | 0 | 0 | 0 | 0.007884 | 1 | 0.055191 | false | 0.003942 | 0.015769 | 0.002628 | 0.114323 | 0.001314 | 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 |
22b364d4334f94cc1d058ea248dee07fc3c34b86 | 982 | py | Python | plot/finderror.py | architsakhadeo/Offline-Hyperparameter-Tuning-for-RL | 94b8f205b12f0cc59ae8e19b2e6099f34be929d6 | [
"MIT"
] | null | null | null | plot/finderror.py | architsakhadeo/Offline-Hyperparameter-Tuning-for-RL | 94b8f205b12f0cc59ae8e19b2e6099f34be929d6 | [
"MIT"
] | null | null | null | plot/finderror.py | architsakhadeo/Offline-Hyperparameter-Tuning-for-RL | 94b8f205b12f0cc59ae8e19b2e6099f34be929d6 | [
"MIT"
] | null | null | null | import os
basepath = '/home/archit/scratch/cartpoles/data/hyperparam/cartpole/offline_learning/esarsa-adam/'
dirs = os.listdir(basepath)
string = ''''''
for dir in dirs:
print(dir)
subbasepath = basepath + dir + '/'
subdirs = os.listdir(subbasepath)
for subdir in subdirs:
print(subdir)
subsubbasepath = subbasep... | 33.862069 | 129 | 0.669043 | 129 | 982 | 5.069767 | 0.395349 | 0.041284 | 0.027523 | 0.033639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008516 | 0.162933 | 982 | 28 | 130 | 35.071429 | 0.787105 | 0 | 0 | 0 | 0 | 0.037037 | 0.160896 | 0.112016 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.037037 | 0.074074 | 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 |
22b4a1c6f88314760073b0d207d79b3e4653b1cf | 4,848 | py | Python | src/pybacked/zip_handler.py | bluePlatinum/pyback | 1c12a52974232b0482981c12a9af27e52dd2190e | [
"MIT"
] | null | null | null | src/pybacked/zip_handler.py | bluePlatinum/pyback | 1c12a52974232b0482981c12a9af27e52dd2190e | [
"MIT"
] | null | null | null | src/pybacked/zip_handler.py | bluePlatinum/pyback | 1c12a52974232b0482981c12a9af27e52dd2190e | [
"MIT"
] | null | null | null | import os
import shutil
import tempfile
import zipfile
def archive_write(archivepath, data, filename, compression, compressionlevel):
"""
Create a file named filename in the archive and write data to it
:param archivepath: The path to the zip-archive
:type archivepath: str
:param data: The data t... | 33.902098 | 79 | 0.679868 | 584 | 4,848 | 5.607877 | 0.226027 | 0.023511 | 0.034809 | 0.042137 | 0.254656 | 0.169771 | 0.149924 | 0.114809 | 0.103206 | 0.103206 | 0 | 0 | 0.241543 | 4,848 | 142 | 80 | 34.140845 | 0.890672 | 0.442038 | 0 | 0.327586 | 0 | 0 | 0.062986 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.068966 | 0 | 0.206897 | 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 |
22b65cc97460c0c9287ab847203def7abf74c5bd | 1,642 | py | Python | kinto/__main__.py | s-utsch/kinto | 5e368849a8ab652a6e1923f44febcf89afd2c78b | [
"Apache-2.0"
] | null | null | null | kinto/__main__.py | s-utsch/kinto | 5e368849a8ab652a6e1923f44febcf89afd2c78b | [
"Apache-2.0"
] | null | null | null | kinto/__main__.py | s-utsch/kinto | 5e368849a8ab652a6e1923f44febcf89afd2c78b | [
"Apache-2.0"
] | null | null | null | import argparse
import sys
from cliquet.scripts import cliquet
from pyramid.scripts import pserve
from pyramid.paster import bootstrap
def main(args=None):
"""The main routine."""
if args is None:
args = sys.argv[1:]
parser = argparse.ArgumentParser(description="Kinto commands... | 34.93617 | 78 | 0.563337 | 168 | 1,642 | 5.315476 | 0.333333 | 0.067189 | 0.06383 | 0.051512 | 0.058231 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0009 | 0.323386 | 1,642 | 46 | 79 | 35.695652 | 0.80288 | 0.010353 | 0 | 0.057143 | 0 | 0 | 0.163681 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0.028571 | 0.142857 | 0 | 0.171429 | 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 |
22b7e88858264b834f72f09e2cb52dba1a8d0aee | 3,423 | py | Python | tests/unit/media/test_synthesis.py | AnantTiwari-Naman/pyglet | 4774f2889057da95a78785a69372112931e6a620 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/media/test_synthesis.py | AnantTiwari-Naman/pyglet | 4774f2889057da95a78785a69372112931e6a620 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/media/test_synthesis.py | AnantTiwari-Naman/pyglet | 4774f2889057da95a78785a69372112931e6a620 | [
"BSD-3-Clause"
] | 1 | 2021-09-16T20:47:07.000Z | 2021-09-16T20:47:07.000Z | from ctypes import sizeof
from io import BytesIO
import unittest
from pyglet.media.synthesis import *
local_dir = os.path.dirname(__file__)
test_data_path = os.path.abspath(os.path.join(local_dir, '..', '..', 'data'))
del local_dir
def get_test_data_file(*file_parts):
"""Get a file from the test data directory... | 32.6 | 96 | 0.706106 | 432 | 3,423 | 5.31713 | 0.30787 | 0.067044 | 0.106661 | 0.124946 | 0.369177 | 0.146278 | 0.107967 | 0.107967 | 0.107967 | 0.075751 | 0 | 0.019802 | 0.20333 | 3,423 | 104 | 97 | 32.913462 | 0.822516 | 0.083845 | 0 | 0.092308 | 0 | 0 | 0.028902 | 0.009313 | 0 | 0 | 0 | 0 | 0.107692 | 1 | 0.123077 | false | 0 | 0.061538 | 0 | 0.446154 | 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 |
22b916a799056741ecb2a3c045e0fdb664033699 | 11,424 | py | Python | Algorithm.Python/Alphas/GreenblattMagicFormulaAlgorithm.py | aaronwJordan/Lean | 3486a6de56a739e44af274f421ac302cbbc98f8d | [
"Apache-2.0"
] | null | null | null | Algorithm.Python/Alphas/GreenblattMagicFormulaAlgorithm.py | aaronwJordan/Lean | 3486a6de56a739e44af274f421ac302cbbc98f8d | [
"Apache-2.0"
] | null | null | null | Algorithm.Python/Alphas/GreenblattMagicFormulaAlgorithm.py | aaronwJordan/Lean | 3486a6de56a739e44af274f421ac302cbbc98f8d | [
"Apache-2.0"
] | null | null | null | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# 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 Licen... | 44.8 | 167 | 0.68785 | 1,307 | 11,424 | 5.996174 | 0.306809 | 0.009187 | 0.009187 | 0.014036 | 0.163073 | 0.147123 | 0.135001 | 0.121475 | 0.110246 | 0.110246 | 0 | 0.0091 | 0.240109 | 11,424 | 254 | 168 | 44.976378 | 0.893676 | 0.370011 | 0 | 0.040984 | 0 | 0 | 0.024721 | 0.011003 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114754 | false | 0 | 0.081967 | 0.016393 | 0.295082 | 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 |
22be5667afd253d36e99d23282612d6ddbb78c15 | 2,132 | py | Python | src/archive/greatcircle.py | AuraUAS/aura-core | 4711521074db72ba9089213e14455d89dc5306c0 | [
"MIT",
"BSD-2-Clause-FreeBSD"
] | 8 | 2016-08-03T19:35:03.000Z | 2019-12-15T06:25:05.000Z | src/archive/greatcircle.py | jarilq/aura-core | 7880ed265396bf8c89b783835853328e6d7d1589 | [
"MIT",
"BSD-2-Clause-FreeBSD"
] | 4 | 2018-09-27T15:48:56.000Z | 2018-11-05T12:38:10.000Z | src/archive/greatcircle.py | jarilq/aura-core | 7880ed265396bf8c89b783835853328e6d7d1589 | [
"MIT",
"BSD-2-Clause-FreeBSD"
] | 5 | 2017-06-28T19:15:36.000Z | 2020-02-19T19:31:24.000Z | # From: http://williams.best.vwh.net/avform.htm#GCF
import math
EPS = 0.0001
d2r = math.pi / 180.0
r2d = 180.0 / math.pi
rad2nm = (180.0 * 60.0) / math.pi
nm2rad = 1.0 / rad2nm
nm2meter = 1852
meter2nm = 1.0 / nm2meter
# p1 = (lat1(deg), lon1(deg))
# p2 = (lat2(deg), lon2(deg))
def course_and_dist(p1, p2):
# thi... | 29.611111 | 138 | 0.560976 | 349 | 2,132 | 3.355301 | 0.275072 | 0.059778 | 0.023911 | 0.023057 | 0.175918 | 0.119556 | 0.095645 | 0.095645 | 0.061486 | 0.061486 | 0 | 0.104042 | 0.292214 | 2,132 | 71 | 139 | 30.028169 | 0.671968 | 0.202627 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.020833 | 0 | 0.104167 | 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 |
22be826c96db32727162b13681b36634865339c6 | 1,195 | py | Python | app/__init__.py | JoeCare/flask_geolocation_api | ad9ea0d22b738a7af8421cc57c972bd0e0fa80da | [
"Apache-2.0"
] | null | null | null | app/__init__.py | JoeCare/flask_geolocation_api | ad9ea0d22b738a7af8421cc57c972bd0e0fa80da | [
"Apache-2.0"
] | 2 | 2021-03-14T03:55:49.000Z | 2021-03-14T04:01:32.000Z | app/__init__.py | JoeCare/flask_geolocation_api | ad9ea0d22b738a7af8421cc57c972bd0e0fa80da | [
"Apache-2.0"
] | null | null | null | import connexion, os
from connexion.resolver import RestyResolver
from flask import json
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
# Globally accessible libraries
db = SQLAlchemy()
mm = Marshmallow()
def init_app():
"""Initialize the Connexion application."""
BASE_DIR... | 26.555556 | 67 | 0.672803 | 141 | 1,195 | 5.468085 | 0.48227 | 0.031128 | 0.02594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.23682 | 1,195 | 44 | 68 | 27.159091 | 0.845395 | 0.226778 | 0 | 0 | 0 | 0 | 0.060373 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.230769 | 0 | 0.307692 | 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 |
22c02d3ee15e860f429769f7b7700c393718fcdc | 29,893 | py | Python | RIPv2-Simulation/Router.py | vkmanojk/Networks-VirtualLAN | 52c6546da611a7a7b9fdea65c567b284664a99b4 | [
"MIT"
] | null | null | null | RIPv2-Simulation/Router.py | vkmanojk/Networks-VirtualLAN | 52c6546da611a7a7b9fdea65c567b284664a99b4 | [
"MIT"
] | null | null | null | RIPv2-Simulation/Router.py | vkmanojk/Networks-VirtualLAN | 52c6546da611a7a7b9fdea65c567b284664a99b4 | [
"MIT"
] | null | null | null | '''
Summary: Program that implements a routing deamon based on the
RIP version 2 protocol from RFC2453.
Usage: python3 Router.py <router_config_file>
Configuration File:
The user supplies a router configuration file of the format:
[Setting... | 35.12691 | 95 | 0.544174 | 3,247 | 29,893 | 4.894672 | 0.13243 | 0.031712 | 0.016359 | 0.011955 | 0.217517 | 0.134713 | 0.085006 | 0.063361 | 0.052098 | 0.041402 | 0 | 0.010031 | 0.356371 | 29,893 | 850 | 96 | 35.168235 | 0.816008 | 0.287091 | 0 | 0.224444 | 0 | 0 | 0.067423 | 0.010024 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135556 | false | 0.008889 | 0.031111 | 0.004444 | 0.233333 | 0.08 | 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 |
22c090ce75cc118c533814274bbfc243abbfc79a | 5,669 | py | Python | atlaselectrophysiology/extract_files.py | alowet/iblapps | 9be936cd6806153dde0cbff1b6f2180191de3aeb | [
"MIT"
] | null | null | null | atlaselectrophysiology/extract_files.py | alowet/iblapps | 9be936cd6806153dde0cbff1b6f2180191de3aeb | [
"MIT"
] | null | null | null | atlaselectrophysiology/extract_files.py | alowet/iblapps | 9be936cd6806153dde0cbff1b6f2180191de3aeb | [
"MIT"
] | null | null | null | from ibllib.io import spikeglx
import numpy as np
import ibllib.dsp as dsp
from scipy import signal
from ibllib.misc import print_progress
from pathlib import Path
import alf.io as aio
import logging
import ibllib.ephys.ephysqc as ephysqc
from phylib.io import alf
_logger = logging.getLogger('ibllib')
... | 40.492857 | 99 | 0.657259 | 793 | 5,669 | 4.523329 | 0.319042 | 0.030109 | 0.026763 | 0.023418 | 0.167828 | 0.154725 | 0.126011 | 0.126011 | 0.107611 | 0.107611 | 0 | 0.008792 | 0.237608 | 5,669 | 139 | 100 | 40.784173 | 0.821148 | 0.28894 | 0 | 0.053333 | 0 | 0 | 0.073294 | 0.022388 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.226667 | 0.026667 | 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 |
22c0aad467733eae25b9c32e9a7eb9d1b86f8921 | 9,955 | py | Python | examples/basics/visuals/line_prototype.py | 3DAlgoLab/vispy | 91972307cf336674aad58198fb26b9e46f8f9ca1 | [
"BSD-3-Clause"
] | 2,617 | 2015-01-02T07:52:18.000Z | 2022-03-29T19:31:15.000Z | examples/basics/visuals/line_prototype.py | 3DAlgoLab/vispy | 91972307cf336674aad58198fb26b9e46f8f9ca1 | [
"BSD-3-Clause"
] | 1,674 | 2015-01-01T00:36:08.000Z | 2022-03-31T19:35:56.000Z | examples/basics/visuals/line_prototype.py | 3DAlgoLab/vispy | 91972307cf336674aad58198fb26b9e46f8f9ca1 | [
"BSD-3-Clause"
] | 719 | 2015-01-10T14:25:00.000Z | 2022-03-02T13:24:56.000Z | # -*- coding: utf-8 -*-
# vispy: gallery 10
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import sys
import numpy as np
from vispy import app, gloo, visuals
from vispy.visuals.filters import Clipper, ColorFilter
from vispy.visual... | 34.209622 | 79 | 0.668609 | 1,366 | 9,955 | 4.762079 | 0.237921 | 0.005842 | 0.004612 | 0.035511 | 0.161722 | 0.096849 | 0.066103 | 0.052575 | 0.040584 | 0.022752 | 0 | 0.039934 | 0.210146 | 9,955 | 290 | 80 | 34.327586 | 0.787359 | 0.239076 | 0 | 0.069767 | 0 | 0 | 0.065089 | 0.002959 | 0 | 0 | 0 | 0 | 0 | 1 | 0.110465 | false | 0.005814 | 0.052326 | 0.005814 | 0.197674 | 0.005814 | 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 |
22c0e10976672b4523dad7b6dd7cde8c3d5b7c7b | 6,272 | py | Python | util/util.py | harshitAgr/vess2ret | 5702175bcd9ecde34d4fedab45a7cd2878a0184c | [
"MIT"
] | 111 | 2017-01-30T17:49:15.000Z | 2022-03-28T05:53:51.000Z | util/util.py | engineerlion/vess2ret | 5702175bcd9ecde34d4fedab45a7cd2878a0184c | [
"MIT"
] | 19 | 2017-03-06T10:28:16.000Z | 2020-12-09T12:25:22.000Z | util/util.py | engineerlion/vess2ret | 5702175bcd9ecde34d4fedab45a7cd2878a0184c | [
"MIT"
] | 46 | 2017-02-10T18:39:25.000Z | 2022-03-05T21:39:46.000Z | """Auxiliary methods."""
import os
import json
from errno import EEXIST
import numpy as np
import seaborn as sns
import cPickle as pickle
import matplotlib.pyplot as plt
sns.set()
DEFAULT_LOG_DIR = 'log'
ATOB_WEIGHTS_FILE = 'atob_weights.h5'
D_WEIGHTS_FILE = 'd_weights.h5'
class MyDict(dict):
"""
Dictionar... | 30.745098 | 89 | 0.603795 | 921 | 6,272 | 3.908795 | 0.229099 | 0.086667 | 0.033333 | 0.046667 | 0.300833 | 0.269722 | 0.262222 | 0.221944 | 0.139722 | 0.058889 | 0 | 0.011366 | 0.228476 | 6,272 | 203 | 90 | 30.896552 | 0.732589 | 0.213967 | 0 | 0.084906 | 0 | 0 | 0.083747 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113208 | false | 0.009434 | 0.066038 | 0 | 0.273585 | 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 |
22c1ccef20d9d7a1d41049e783b9575459b18d70 | 834 | py | Python | services/apiRequests.py | CakeCrusher/voon-video_processing | 6ecaacf4e36baa72d713a92101b445885b3d95ef | [
"MIT"
] | null | null | null | services/apiRequests.py | CakeCrusher/voon-video_processing | 6ecaacf4e36baa72d713a92101b445885b3d95ef | [
"MIT"
] | null | null | null | services/apiRequests.py | CakeCrusher/voon-video_processing | 6ecaacf4e36baa72d713a92101b445885b3d95ef | [
"MIT"
] | null | null | null | from github import Github
def parseGithubURL(url):
splitURL = url.split('/')
owner = splitURL[3]
repo = splitURL[4]
return {
"owner": owner,
"repo": repo
}
def fetchRepoFiles(owner, repo):
files = []
g = Github('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')
repo = g.get_rep... | 29.785714 | 78 | 0.642686 | 93 | 834 | 5.666667 | 0.473118 | 0.083491 | 0.056926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015291 | 0.215827 | 834 | 27 | 79 | 30.888889 | 0.79052 | 0.248201 | 0 | 0 | 0 | 0 | 0.107717 | 0.064309 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.047619 | 0 | 0.238095 | 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 |
22c3df00575427d7293f54af4b1eb86f32f1ea11 | 995 | py | Python | utils/tricks.py | HouchangX-AI/Dialog-Solution | 1f68f847d9c9c4a46ef0b5fc6a78014402a4dd7a | [
"MIT"
] | 3 | 2020-03-12T06:28:01.000Z | 2020-03-27T20:15:53.000Z | utils/tricks.py | HouchangX-AI/Dialog-Solution | 1f68f847d9c9c4a46ef0b5fc6a78014402a4dd7a | [
"MIT"
] | null | null | null | utils/tricks.py | HouchangX-AI/Dialog-Solution | 1f68f847d9c9c4a46ef0b5fc6a78014402a4dd7a | [
"MIT"
] | 2 | 2020-03-19T02:47:37.000Z | 2021-12-14T02:26:40.000Z | #-*- coding: utf-8 -*-
import codecs
import random
from utils.global_names import GlobalNames, get_file_path
def modify_tokens(tokens):
new_tokens = []
pos = 0
len_ = len(tokens)
while pos < len_:
if tokens[pos] == "[":
if pos+2 < len_ and tokens[pos+2] == "]":
to... | 26.184211 | 57 | 0.501508 | 119 | 995 | 4.033613 | 0.386555 | 0.16875 | 0.0625 | 0.0625 | 0.183333 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025723 | 0.374874 | 995 | 37 | 58 | 26.891892 | 0.745981 | 0.021106 | 0 | 0.2 | 0 | 0 | 0.010277 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.1 | 0 | 0.266667 | 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 |
22c76b57ffb3eeb2695ac101001d7de50b9a816d | 4,344 | py | Python | facetools/test/testcases.py | bigsassy/django-facetools | aeedaea81ab0007ee8e96b2f81f1404dc8bddb3c | [
"MIT"
] | 2 | 2018-01-24T20:41:27.000Z | 2019-06-27T13:24:18.000Z | facetools/test/testcases.py | bigsassy/django-facetools | aeedaea81ab0007ee8e96b2f81f1404dc8bddb3c | [
"MIT"
] | null | null | null | facetools/test/testcases.py | bigsassy/django-facetools | aeedaea81ab0007ee8e96b2f81f1404dc8bddb3c | [
"MIT"
] | null | null | null | import types
import django.test.testcases
from django.conf import settings
from facetools.models import TestUser
from facetools.common import _create_signed_request
from facetools.test import TestUserNotLoaded
from facetools.signals import sync_facebook_test_user, setup_facebook_test_client
from facetools.common impor... | 51.714286 | 162 | 0.69268 | 539 | 4,344 | 5.328386 | 0.300557 | 0.047354 | 0.050139 | 0.034819 | 0.116295 | 0.01532 | 0 | 0 | 0 | 0 | 0 | 0.000579 | 0.20419 | 4,344 | 83 | 163 | 52.337349 | 0.8302 | 0.179328 | 0 | 0.142857 | 0 | 0.035714 | 0.136794 | 0.007456 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.142857 | 0 | 0.357143 | 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 |
22c82577ce9bb70304bc0ff3dee27fa81b62e25c | 564 | py | Python | homework_08/calc_fitness.py | ufpa-organization-repositories/evolutionary-computing | e16786f9619e2b357b94ab91ff3a7b352e6a0d92 | [
"MIT"
] | null | null | null | homework_08/calc_fitness.py | ufpa-organization-repositories/evolutionary-computing | e16786f9619e2b357b94ab91ff3a7b352e6a0d92 | [
"MIT"
] | null | null | null | homework_08/calc_fitness.py | ufpa-organization-repositories/evolutionary-computing | e16786f9619e2b357b94ab91ff3a7b352e6a0d92 | [
"MIT"
] | null | null | null | def calc_fitness(pop):
from to_decimal import to_decimal
from math import sin, sqrt
for index, elem in enumerate(pop):
# só atribui a fitness a cromossomos que ainda não possuem fitness
# print(elem[0], elem[1])
x = to_decimal(elem[0])
y = to_decimal(elem[1])
# x = ... | 25.636364 | 87 | 0.546099 | 90 | 564 | 3.355556 | 0.4 | 0.119205 | 0.092715 | 0.02649 | 0.033113 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069479 | 0.285461 | 564 | 21 | 88 | 26.857143 | 0.679901 | 0.326241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 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 |
22cc9cf5c82866cdbb6751a30f5964a624debd38 | 2,753 | py | Python | ch05/ch05-02-timeseries.py | alexmalins/kagglebook | 260f6634b6bbaa94c2e989770e75dc7101f5c614 | [
"BSD-3-Clause"
] | 13 | 2021-02-20T08:57:28.000Z | 2022-03-31T12:47:08.000Z | ch05/ch05-02-timeseries.py | Tharunkumar01/kagglebook | 260f6634b6bbaa94c2e989770e75dc7101f5c614 | [
"BSD-3-Clause"
] | null | null | null | ch05/ch05-02-timeseries.py | Tharunkumar01/kagglebook | 260f6634b6bbaa94c2e989770e75dc7101f5c614 | [
"BSD-3-Clause"
] | 2 | 2021-07-15T03:56:39.000Z | 2021-07-29T00:53:54.000Z | # ---------------------------------
# Prepare the data etc.
# ----------------------------------
import numpy as np
import pandas as pd
# train_x is the training data, train_y is the target values, and test_x is the test data
# stored in pandas DataFrames and Series (numpy arrays also used)
train = pd.read_csv('../in... | 43.698413 | 108 | 0.653106 | 468 | 2,753 | 3.638889 | 0.196581 | 0.07751 | 0.063418 | 0.035232 | 0.530241 | 0.51145 | 0.431591 | 0.431591 | 0.431591 | 0.431591 | 0 | 0.01458 | 0.152924 | 2,753 | 62 | 109 | 44.403226 | 0.715695 | 0.519797 | 0 | 0.333333 | 0 | 0 | 0.120862 | 0.065435 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 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 |
22cf451d04e0bf782f9148035e8ed296f046dac4 | 2,152 | py | Python | python-scripts/plot_delay.py | GayashanNA/my-scripts | d865e828c833d6b54c787ce9475da512f8488278 | [
"Apache-2.0"
] | null | null | null | python-scripts/plot_delay.py | GayashanNA/my-scripts | d865e828c833d6b54c787ce9475da512f8488278 | [
"Apache-2.0"
] | null | null | null | python-scripts/plot_delay.py | GayashanNA/my-scripts | d865e828c833d6b54c787ce9475da512f8488278 | [
"Apache-2.0"
] | null | null | null | import csv
import matplotlib.pyplot as plt
import time
PLOT_PER_WINDOW = False
WINDOW_LENGTH = 60000
BINS = 1000
delay_store = {}
perwindow_delay_store = {}
plotting_delay_store = {}
filename = "output-large.csv"
# filename = "output.csv"
# filename = "output-medium.csv"
# filename = "output-small.csv"
# filename = "... | 33.107692 | 98 | 0.703067 | 320 | 2,152 | 4.540625 | 0.353125 | 0.110117 | 0.086717 | 0.06607 | 0.104611 | 0.064694 | 0.064694 | 0.064694 | 0.064694 | 0.064694 | 0 | 0.019835 | 0.156599 | 2,152 | 64 | 99 | 33.625 | 0.780716 | 0.171933 | 0 | 0 | 0 | 0 | 0.110672 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 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 |
22cfe37b118c380f98097dbe5e6dfaa75be99d71 | 427 | py | Python | video/rest/compositionhooks/delete-hook/delete-hook.6.x.py | afeld/api-snippets | d77456c387c9471d36aa949e2cf785d8a534a370 | [
"MIT"
] | 3 | 2020-05-05T10:01:02.000Z | 2021-02-06T14:23:13.000Z | video/rest/compositionhooks/delete-hook/delete-hook.6.x.py | afeld/api-snippets | d77456c387c9471d36aa949e2cf785d8a534a370 | [
"MIT"
] | null | null | null | video/rest/compositionhooks/delete-hook/delete-hook.6.x.py | afeld/api-snippets | d77456c387c9471d36aa949e2cf785d8a534a370 | [
"MIT"
] | null | null | null | # Download the Python helper library from twilio.com/docs/python/install
from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/console
api_key_sid = 'SKXXXX'
api_key_secret = 'your_api_key_secret'
client = Client(api_key_sid, api_key_secret)
did_delete = client.video\
.c... | 28.466667 | 72 | 0.709602 | 58 | 427 | 5 | 0.568966 | 0.103448 | 0.124138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.201405 | 427 | 14 | 73 | 30.5 | 0.85044 | 0.295082 | 0 | 0 | 0 | 0 | 0.167785 | 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 |
22d06d326dbc942db8f36ca27ac8dc094685d70b | 6,924 | py | Python | advesarial_text/data/data_utils_test.py | slowy07/tensorflow-model-research | 48ba4ba6240452eb3e3350fe7099f2b045acc530 | [
"MIT"
] | null | null | null | advesarial_text/data/data_utils_test.py | slowy07/tensorflow-model-research | 48ba4ba6240452eb3e3350fe7099f2b045acc530 | [
"MIT"
] | null | null | null | advesarial_text/data/data_utils_test.py | slowy07/tensorflow-model-research | 48ba4ba6240452eb3e3350fe7099f2b045acc530 | [
"MIT"
] | null | null | null | from __future__ import absoulte_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from data import data_utils
data = data_utils
class SequenceWrapperTest(tf.test.TestCase):
def testDefaultTimesteps(self):
seq = data.SequenceWrapper()
t1 = seq.... | 36.0625 | 88 | 0.608897 | 912 | 6,924 | 4.449561 | 0.135965 | 0.158945 | 0.096353 | 0.069 | 0.566289 | 0.517003 | 0.4793 | 0.453425 | 0.418679 | 0.383933 | 0 | 0.024405 | 0.272097 | 6,924 | 191 | 89 | 36.251309 | 0.780754 | 0.034806 | 0 | 0.37013 | 0 | 0 | 0.016175 | 0.003445 | 0 | 0 | 0 | 0 | 0.337662 | 1 | 0.084416 | false | 0 | 0.032468 | 0 | 0.136364 | 0.006494 | 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 |
22d0f53b1d93eab616a976b47567e50595d96288 | 3,546 | py | Python | LipSDP/solve_sdp.py | revbucket/LipSDP | 39f2ffe65cb656440e055e4e86a750bc7e77e357 | [
"MIT"
] | 1 | 2021-07-21T12:19:01.000Z | 2021-07-21T12:19:01.000Z | LipSDP/solve_sdp.py | revbucket/LipSDP | 39f2ffe65cb656440e055e4e86a750bc7e77e357 | [
"MIT"
] | null | null | null | LipSDP/solve_sdp.py | revbucket/LipSDP | 39f2ffe65cb656440e055e4e86a750bc7e77e357 | [
"MIT"
] | null | null | null | import argparse
import numpy as np
import matlab.engine
from scipy.io import savemat
import os
from time import time
def main(args):
start_time = time()
eng = matlab.engine.start_matlab()
eng.addpath(os.path.join(file_dir, 'matlab_engine'))
eng.addpath(os.path.join(file_dir, r'matlab_engine/weight_uti... | 30.834783 | 91 | 0.631416 | 447 | 3,546 | 4.888143 | 0.306488 | 0.045309 | 0.085584 | 0.029291 | 0.263616 | 0.179863 | 0.142334 | 0.105263 | 0.092449 | 0.092449 | 0 | 0.009956 | 0.235195 | 3,546 | 114 | 92 | 31.105263 | 0.795723 | 0 | 0 | 0.222222 | 0 | 0 | 0.334179 | 0.030175 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011111 | false | 0 | 0.066667 | 0 | 0.077778 | 0.033333 | 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 |
22d1e9715d6acd537e633072609ca037ec95ec12 | 805 | py | Python | stockprophet/__init__.py | chihyi-liao/stockprophet | 891c91b2a446e3bd30bb56b88be3874d7dda1b8d | [
"BSD-3-Clause"
] | 1 | 2021-11-15T13:07:19.000Z | 2021-11-15T13:07:19.000Z | stockprophet/__init__.py | chihyi-liao/stockprophet | 891c91b2a446e3bd30bb56b88be3874d7dda1b8d | [
"BSD-3-Clause"
] | null | null | null | stockprophet/__init__.py | chihyi-liao/stockprophet | 891c91b2a446e3bd30bb56b88be3874d7dda1b8d | [
"BSD-3-Clause"
] | 1 | 2021-09-15T09:25:39.000Z | 2021-09-15T09:25:39.000Z | from stockprophet.cli import entry_point
from stockprophet.crawler import (
init_stock_type, init_stock_category
)
from stockprophet.db import init_db
from .utils import read_db_settings
def preprocessing() -> bool:
result = False
# noinspection PyBroadException
try:
db_config = read_db_setti... | 22.361111 | 49 | 0.645963 | 92 | 805 | 5.445652 | 0.456522 | 0.071856 | 0.051896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.277019 | 805 | 35 | 50 | 23 | 0.860825 | 0.073292 | 0 | 0.185185 | 0 | 0 | 0.07537 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.148148 | 0 | 0.333333 | 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 |
22d23a29cb139320e7b38591cd284a89f2406142 | 475 | py | Python | 6/6.2.py | Hunter1753/adventofcode | 962df52af01f6ab575e8f00eb2d1c1335dba5430 | [
"CC0-1.0"
] | 1 | 2020-12-08T21:53:19.000Z | 2020-12-08T21:53:19.000Z | 6/6.2.py | Hunter1753/adventofcode | 962df52af01f6ab575e8f00eb2d1c1335dba5430 | [
"CC0-1.0"
] | null | null | null | 6/6.2.py | Hunter1753/adventofcode | 962df52af01f6ab575e8f00eb2d1c1335dba5430 | [
"CC0-1.0"
] | null | null | null | def setIntersectionCount(group):
return len(set.intersection(*group))
groupList = []
tempGroup = []
with open("./6/input.txt") as inputFile:
for line in inputFile:
line = line.replace("\n","")
if len(line) > 0:
tempGroup.append(set(line))
else:
groupList.append(tempGroup)
tempGroup = []
if len(tempGr... | 25 | 59 | 0.703158 | 58 | 475 | 5.758621 | 0.568966 | 0.02994 | 0.143713 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007335 | 0.138947 | 475 | 19 | 59 | 25 | 0.809291 | 0 | 0 | 0.25 | 0 | 0 | 0.088235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0 | 0.0625 | 0.125 | 0.0625 | 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 |
22d2adc9a61d389ca50d1c98a9058e597ec58a82 | 2,964 | py | Python | demo/gpnas/CVPR2021_NAS_competition_gpnas_demo.py | ZichaoGuo/PaddleSlim | 2550fb4ec86aee6155c1c8a2c9ab174e239918a3 | [
"Apache-2.0"
] | 926 | 2019-12-16T05:06:56.000Z | 2022-03-31T07:22:10.000Z | demo/gpnas/CVPR2021_NAS_competition_gpnas_demo.py | ZichaoGuo/PaddleSlim | 2550fb4ec86aee6155c1c8a2c9ab174e239918a3 | [
"Apache-2.0"
] | 327 | 2019-12-16T06:04:31.000Z | 2022-03-30T11:08:18.000Z | demo/gpnas/CVPR2021_NAS_competition_gpnas_demo.py | ZichaoGuo/PaddleSlim | 2550fb4ec86aee6155c1c8a2c9ab174e239918a3 | [
"Apache-2.0"
] | 234 | 2019-12-16T03:12:08.000Z | 2022-03-27T12:59:39.000Z | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 44.909091 | 103 | 0.721323 | 476 | 2,964 | 4.218487 | 0.340336 | 0.054781 | 0.035857 | 0.025896 | 0.233068 | 0.204183 | 0.182271 | 0.155378 | 0.133466 | 0.133466 | 0 | 0.039612 | 0.165317 | 2,964 | 65 | 104 | 45.6 | 0.772029 | 0.345816 | 0 | 0.102564 | 0 | 0 | 0.090292 | 0.045407 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.102564 | 0 | 0.153846 | 0.051282 | 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 |
22d789885783516e44018b1a27dcbc9e0ec012e0 | 6,443 | py | Python | pymemcache/client/retrying.py | liquidpele/pymemcache | 0001f94a06b91078ed7b7708729ef0d1aaa73a68 | [
"Apache-2.0"
] | null | null | null | pymemcache/client/retrying.py | liquidpele/pymemcache | 0001f94a06b91078ed7b7708729ef0d1aaa73a68 | [
"Apache-2.0"
] | null | null | null | pymemcache/client/retrying.py | liquidpele/pymemcache | 0001f94a06b91078ed7b7708729ef0d1aaa73a68 | [
"Apache-2.0"
] | null | null | null | """ Module containing the RetryingClient wrapper class. """
from time import sleep
def _ensure_tuple_argument(argument_name, argument_value):
"""
Helper function to ensure the given arguments are tuples of Exceptions (or
subclasses), or can at least be converted to such.
Args:
argument_name: s... | 35.994413 | 87 | 0.60298 | 800 | 6,443 | 4.68375 | 0.26875 | 0.055511 | 0.034694 | 0.045103 | 0.193488 | 0.14625 | 0.119295 | 0.09581 | 0.09581 | 0.057112 | 0 | 0.002091 | 0.331833 | 6,443 | 178 | 88 | 36.196629 | 0.868293 | 0.465622 | 0 | 0.072464 | 0 | 0 | 0.114125 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115942 | false | 0 | 0.014493 | 0.028986 | 0.231884 | 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 |
22d92edfa8963f3c42a5dc829d7d8e2eae0773ab | 461 | py | Python | 8.1.py | HuaichenOvO/EIE3280HW | e1424abb8baf715a4e9372e2ca6b0bed1e62f3d6 | [
"MIT"
] | null | null | null | 8.1.py | HuaichenOvO/EIE3280HW | e1424abb8baf715a4e9372e2ca6b0bed1e62f3d6 | [
"MIT"
] | null | null | null | 8.1.py | HuaichenOvO/EIE3280HW | e1424abb8baf715a4e9372e2ca6b0bed1e62f3d6 | [
"MIT"
] | null | null | null | import numpy as np
import numpy.linalg as lg
A_mat = np.matrix([
[0, 1, 1, 1, 0],
[1, 0, 0, 0, 1],
[1, 0, 0, 1, 1],
[1, 0, 1, 0, 1],
[0, 1, 1, 1, 0]
])
eigen = lg.eig(A_mat) # return Arr[5] with 5 different linear independent eigen values
vec = eigen[1][:, 0] # the column (eigen vect... | 20.043478 | 87 | 0.566161 | 83 | 461 | 3.108434 | 0.337349 | 0.062016 | 0.046512 | 0.046512 | 0.077519 | 0.054264 | 0.054264 | 0 | 0 | 0 | 0 | 0.093093 | 0.277657 | 461 | 22 | 88 | 20.954545 | 0.681682 | 0.305857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0.2 | 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 |
22dbcb72dc9b6914e75bad92c8d92d61083088a7 | 6,145 | py | Python | src/automata_learning_with_policybank/Traces.py | logic-and-learning/AdvisoRL | 3bbd741e681e6ea72562fec142d54e9d781d097d | [
"MIT"
] | 4 | 2021-02-04T17:33:07.000Z | 2022-01-24T10:29:39.000Z | src/automata_learning_with_policybank/Traces.py | logic-and-learning/AdvisoRL | 3bbd741e681e6ea72562fec142d54e9d781d097d | [
"MIT"
] | null | null | null | src/automata_learning_with_policybank/Traces.py | logic-and-learning/AdvisoRL | 3bbd741e681e6ea72562fec142d54e9d781d097d | [
"MIT"
] | null | null | null | import os
class Traces:
def __init__(self, positive = set(), negative = set()):
self.positive = positive
self.negative = negative
"""
IG: at the moment we are adding a trace only if it ends up in an event.
should we be more restrictive, e.g. consider xxx, the same as xxxxxxxxxx (wher... | 36.577381 | 127 | 0.479414 | 687 | 6,145 | 4.195051 | 0.245997 | 0.024289 | 0.031228 | 0.015267 | 0.252255 | 0.220333 | 0.211312 | 0.188411 | 0.148161 | 0.119015 | 0 | 0.012098 | 0.408137 | 6,145 | 167 | 128 | 36.796407 | 0.780313 | 0.091782 | 0 | 0.27907 | 0 | 0 | 0.012908 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077519 | false | 0 | 0.007752 | 0.007752 | 0.139535 | 0.007752 | 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 |
22dbf84787aba6cdbf21c855e5dcbb4cff617bd6 | 1,758 | py | Python | example/comp/urls.py | edwilding/django-comments-xtd | c3a335b6345b52c75cce69c66b7cf0ef72439d35 | [
"BSD-2-Clause"
] | null | null | null | example/comp/urls.py | edwilding/django-comments-xtd | c3a335b6345b52c75cce69c66b7cf0ef72439d35 | [
"BSD-2-Clause"
] | null | null | null | example/comp/urls.py | edwilding/django-comments-xtd | c3a335b6345b52c75cce69c66b7cf0ef72439d35 | [
"BSD-2-Clause"
] | 1 | 2021-06-01T20:35:25.000Z | 2021-06-01T20:35:25.000Z | import django
from django.conf import settings
from django.conf.urls import include, url
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
if django.VERSION[:2] > (1, 9):
from django.views.i18n import JavaScriptCatalog
else:
from django.views.i18n import javas... | 31.392857 | 77 | 0.67463 | 210 | 1,758 | 5.528571 | 0.319048 | 0.041344 | 0.05857 | 0.027562 | 0.120586 | 0.031008 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 0.175768 | 1,758 | 55 | 78 | 31.963636 | 0.786749 | 0 | 0 | 0.177778 | 0 | 0 | 0.209329 | 0.025597 | 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 |
22df9e5579ccb8577b1f37196d5e862a47aa496e | 1,026 | py | Python | tests/basic/test_basic.py | kopp/python-astar | 642dd4bcef9829776614dc0f12681ac94634a3bc | [
"BSD-3-Clause"
] | 133 | 2017-05-05T03:40:13.000Z | 2022-03-30T06:37:23.000Z | src/test/basic/basic.py | ReznicencuBogdan/python-astar | 48d1caedd6e839c51315555f85ced567f7f166a7 | [
"BSD-3-Clause"
] | 6 | 2019-01-17T20:46:34.000Z | 2021-12-23T22:59:57.000Z | src/test/basic/basic.py | ReznicencuBogdan/python-astar | 48d1caedd6e839c51315555f85ced567f7f166a7 | [
"BSD-3-Clause"
] | 61 | 2017-03-17T14:05:34.000Z | 2022-02-18T21:27:40.000Z | import unittest
import astar
class BasicTests(unittest.TestCase):
def test_bestpath(self):
"""ensure that we take the shortest path, and not the path with less elements.
the path with less elements is A -> B with a distance of 100
the shortest path is A -> C -> D -> B with a distanc... | 30.176471 | 87 | 0.522417 | 136 | 1,026 | 3.823529 | 0.433824 | 0.011538 | 0.057692 | 0.057692 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033083 | 0.351852 | 1,026 | 33 | 88 | 31.090909 | 0.748872 | 0.191033 | 0 | 0 | 0 | 0 | 0.026482 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.181818 | false | 0 | 0.090909 | 0.045455 | 0.409091 | 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 |
22e090fdaf1d3e3871f2d87d1370e0c27a711e78 | 2,623 | py | Python | potions.py | abdza/skyrim_formulas | bf6be3c82715cfde89810d6e6183c95a55a4414c | [
"MIT"
] | null | null | null | potions.py | abdza/skyrim_formulas | bf6be3c82715cfde89810d6e6183c95a55a4414c | [
"MIT"
] | null | null | null | potions.py | abdza/skyrim_formulas | bf6be3c82715cfde89810d6e6183c95a55a4414c | [
"MIT"
] | null | null | null | #!/bin/env python3
import csv
def intersect(list1,list2):
list3 = [ value for value in list1 if value in list2]
return list3
def category(list1,effects):
cat = 'Good'
good = 0
bad = 0
for ing in list1:
if effects[ing]=='Good':
good += 1
else:
bad += 1
... | 31.60241 | 141 | 0.569577 | 318 | 2,623 | 4.679245 | 0.264151 | 0.010753 | 0.016129 | 0.058468 | 0.087366 | 0.044355 | 0.044355 | 0 | 0 | 0 | 0 | 0.024638 | 0.28822 | 2,623 | 82 | 142 | 31.987805 | 0.772362 | 0.006481 | 0 | 0.072464 | 0 | 0 | 0.073321 | 0.008445 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028986 | false | 0 | 0.014493 | 0 | 0.101449 | 0.014493 | 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 |
22e2114d0da96fc447264d248b0ab2d8a5d86656 | 3,469 | py | Python | Tests/Methods/Mesh/Interpolation/test_interpolation.py | harshasunder-1/pyleecan | 32ae60f98b314848eb9b385e3652d7fc50a77420 | [
"Apache-2.0"
] | 2 | 2020-08-28T14:54:55.000Z | 2021-03-13T19:34:45.000Z | Tests/Methods/Mesh/Interpolation/test_interpolation.py | harshasunder-1/pyleecan | 32ae60f98b314848eb9b385e3652d7fc50a77420 | [
"Apache-2.0"
] | null | null | null | Tests/Methods/Mesh/Interpolation/test_interpolation.py | harshasunder-1/pyleecan | 32ae60f98b314848eb9b385e3652d7fc50a77420 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
import numpy as np
from unittest import TestCase
from pyleecan.Classes.CellMat import CellMat
from pyleecan.Classes.MeshSolution import MeshSolution
from pyleecan.Classes.PointMat import PointMat
from pyleecan.Classes.MeshMat import MeshMat
from pyleecan.Classes.ScalarProductL2 i... | 38.544444 | 86 | 0.618622 | 475 | 3,469 | 4.406316 | 0.170526 | 0.043478 | 0.072623 | 0.040612 | 0.615862 | 0.603918 | 0.533206 | 0.496894 | 0.492117 | 0.492117 | 0 | 0.040381 | 0.243298 | 3,469 | 89 | 87 | 38.977528 | 0.756952 | 0.054194 | 0 | 0.315068 | 0 | 0 | 0.053806 | 0 | 0 | 0 | 0 | 0 | 0.054795 | 1 | 0.013699 | false | 0 | 0.150685 | 0 | 0.178082 | 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 |
22e2925cc3811ca52e0058f9e3c1868295f2875f | 13,863 | py | Python | lib/models.py | ecarg/grace | 8c1540116c07648f7d8852ee5e9edff33b6ae2f6 | [
"BSD-2-Clause"
] | 7 | 2017-11-20T03:30:46.000Z | 2021-06-10T15:33:07.000Z | lib/models.py | ecarg/grace | 8c1540116c07648f7d8852ee5e9edff33b6ae2f6 | [
"BSD-2-Clause"
] | 47 | 2017-09-08T07:02:42.000Z | 2017-11-04T13:50:50.000Z | lib/models.py | ecarg/grace | 8c1540116c07648f7d8852ee5e9edff33b6ae2f6 | [
"BSD-2-Clause"
] | 2 | 2018-10-19T05:05:23.000Z | 2019-10-31T06:27:24.000Z | # -*- coding: utf-8 -*-
"""
Pytorch models
__author__ = 'Jamie (krikit@naver.com)'
__copyright__ = 'No copyright. Just copyleft!'
"""
# pylint: disable=no-member
# pylint: disable=invalid-name
###########
# imports #
###########
import torch
import torch.nn as nn
from embedder import Embedder
from pos_models impo... | 31.506818 | 89 | 0.549592 | 1,832 | 13,863 | 3.899017 | 0.100437 | 0.066499 | 0.02352 | 0.0238 | 0.630687 | 0.586448 | 0.542349 | 0.461851 | 0.413692 | 0.405012 | 0 | 0.041397 | 0.320421 | 13,863 | 439 | 90 | 31.578588 | 0.716803 | 0.246916 | 0 | 0.457627 | 0 | 0 | 0.002685 | 0 | 0 | 0 | 0 | 0 | 0.012712 | 1 | 0.072034 | false | 0 | 0.025424 | 0 | 0.165254 | 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 |
22e5c3b42de15feed5e29aa272f135d23d064ab1 | 1,274 | py | Python | setup.py | edulix/apscheduler | 8030e0fc7e1845a15861e649988cc73a1aa624ec | [
"MIT"
] | null | null | null | setup.py | edulix/apscheduler | 8030e0fc7e1845a15861e649988cc73a1aa624ec | [
"MIT"
] | null | null | null | setup.py | edulix/apscheduler | 8030e0fc7e1845a15861e649988cc73a1aa624ec | [
"MIT"
] | null | null | null | # coding: utf-8
import os.path
try:
from setuptools import setup
extras = dict(zip_safe=False, test_suite='nose.collector', tests_require=['nose'])
except ImportError:
from distutils.core import setup
extras = {}
import apscheduler
here = os.path.dirname(__file__)
readme_path = os.path.join(here, 'R... | 31.073171 | 107 | 0.663265 | 139 | 1,274 | 6 | 0.589928 | 0.136691 | 0.179856 | 0.093525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010763 | 0.197802 | 1,274 | 40 | 108 | 31.85 | 0.805284 | 0.010204 | 0 | 0 | 0 | 0 | 0.466243 | 0.054011 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.147059 | 0 | 0.147059 | 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 |
22e9a24e177b5cc9ead771b6359f5209ebe42377 | 543 | py | Python | run.py | matthewyoung28/macmentum | af1a26903e25b4a4f278388d7be1e638e071c0a8 | [
"MIT"
] | null | null | null | run.py | matthewyoung28/macmentum | af1a26903e25b4a4f278388d7be1e638e071c0a8 | [
"MIT"
] | null | null | null | run.py | matthewyoung28/macmentum | af1a26903e25b4a4f278388d7be1e638e071c0a8 | [
"MIT"
] | null | null | null | import os
import sys
import random
def get_next_wallpaper(curr_path):
lst_dir = os.listdir()
rand_index = random.randint(0, len(lst_dir) - 1)
return lst_dir[rand_index]
def get_wall_dir():
return "/Users/MYOUNG/Pictures/mmt"
def main():
script = "osascript -e 'tell application \"Finder\" to s... | 18.724138 | 93 | 0.662983 | 77 | 543 | 4.493506 | 0.519481 | 0.052023 | 0.092486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00464 | 0.206262 | 543 | 28 | 94 | 19.392857 | 0.798144 | 0.090239 | 0 | 0 | 0 | 0 | 0.201232 | 0.053388 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.1875 | 0.0625 | 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 |
22eae5e579a412e845c5851038ebc3ce5e3c9735 | 2,099 | py | Python | noxfile.py | dolfno/mlops_demo | 52a04525f1655a32d45002384a972a1920fd517a | [
"MIT"
] | null | null | null | noxfile.py | dolfno/mlops_demo | 52a04525f1655a32d45002384a972a1920fd517a | [
"MIT"
] | null | null | null | noxfile.py | dolfno/mlops_demo | 52a04525f1655a32d45002384a972a1920fd517a | [
"MIT"
] | null | null | null | """Automated CI tools to run with Nox"""
import nox
from nox import Session
locations = "src", "noxfile.py", "docs/conf.py"
nox.options.sessions = "lint", "tests"
@nox.session(python="3.9")
def tests(session: Session) -> None:
"""Run tests with nox"""
session.run("poetry", "install", external=True)
sessi... | 28.364865 | 68 | 0.636494 | 260 | 2,099 | 5.130769 | 0.303846 | 0.082459 | 0.083958 | 0.089205 | 0.255622 | 0.255622 | 0.176912 | 0.08096 | 0.08096 | 0.08096 | 0 | 0.015508 | 0.170557 | 2,099 | 73 | 69 | 28.753425 | 0.750718 | 0.100048 | 0 | 0.208333 | 0 | 0 | 0.262987 | 0.041126 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145833 | false | 0 | 0.083333 | 0 | 0.229167 | 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 |
22eecf1d05ffdd487202a1266800927ab92af76d | 1,098 | py | Python | src/framework/tracing.py | davidhozic/Discord-Shiller | ff22bb1ceb7b4128ee0d27f3c9c9dd0a5279feb9 | [
"MIT"
] | 12 | 2022-02-20T20:50:24.000Z | 2022-03-24T17:15:15.000Z | src/framework/tracing.py | davidhozic/Discord-Shiller | ff22bb1ceb7b4128ee0d27f3c9c9dd0a5279feb9 | [
"MIT"
] | 3 | 2022-02-21T15:17:43.000Z | 2022-03-17T22:36:23.000Z | src/framework/tracing.py | davidhozic/discord-advertisement-framework | ff22bb1ceb7b4128ee0d27f3c9c9dd0a5279feb9 | [
"MIT"
] | 1 | 2022-03-31T01:04:01.000Z | 2022-03-31T01:04:01.000Z | """
~ Tracing ~
This modules containes functions and classes
related to the console debug long or trace.
"""
from enum import Enum, auto
import time
__all__ = (
"TraceLEVELS",
"trace"
)
m_use_debug = None
class TraceLEVELS(Enum):
"""
Info: Level of trace for debug
"""
NORMAL... | 25.534884 | 81 | 0.528233 | 112 | 1,098 | 5.044643 | 0.526786 | 0.106195 | 0.031858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015782 | 0.365209 | 1,098 | 42 | 82 | 26.142857 | 0.794835 | 0.222222 | 0 | 0 | 0 | 0 | 0.152585 | 0.027743 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.086957 | 0 | 0.304348 | 0.043478 | 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 |
22f2bda6c50ac4fe1d32522345090972ebb7ad66 | 728 | py | Python | sunkit_image/__init__.py | jeffreypaul15/sunkit-image | 0987db8fcd38c79a83d7d890e407204e63a05c4f | [
"BSD-2-Clause-NetBSD",
"BSD-2-Clause"
] | null | null | null | sunkit_image/__init__.py | jeffreypaul15/sunkit-image | 0987db8fcd38c79a83d7d890e407204e63a05c4f | [
"BSD-2-Clause-NetBSD",
"BSD-2-Clause"
] | null | null | null | sunkit_image/__init__.py | jeffreypaul15/sunkit-image | 0987db8fcd38c79a83d7d890e407204e63a05c4f | [
"BSD-2-Clause-NetBSD",
"BSD-2-Clause"
] | null | null | null | """
sunkit-image
============
A image processing toolbox for Solar Physics.
* Homepage: https://sunpy.org
* Documentation: https://sunkit-image.readthedocs.io/en/latest/
"""
import sys
from .version import version as __version__ # NOQA
# Enforce Python version check during package import.
__minimum_python_version_... | 23.483871 | 87 | 0.717033 | 88 | 728 | 5.613636 | 0.670455 | 0.105263 | 0.121457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0033 | 0.167582 | 728 | 30 | 88 | 24.266667 | 0.811881 | 0.443681 | 0 | 0 | 0 | 0 | 0.118421 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.333333 | 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 |
22f32d963c063df45b4e85b0c4f01e4ea1ea6369 | 26,004 | py | Python | app/view.py | lucasblazzi/stocker | 52cdec481ed84a09d97369ee4da229e169f99f51 | [
"MIT"
] | null | null | null | app/view.py | lucasblazzi/stocker | 52cdec481ed84a09d97369ee4da229e169f99f51 | [
"MIT"
] | null | null | null | app/view.py | lucasblazzi/stocker | 52cdec481ed84a09d97369ee4da229e169f99f51 | [
"MIT"
] | null | null | null | import plotly.graph_objects as go
import plotly.express as px
import pandas as pd
class View:
def __init__(self, st):
self.st = st
self.st.set_page_config(layout='wide')
self.side_bar = st.sidebar
def show_message(self, location, _type, message):
if location == "sb":
... | 46.352941 | 153 | 0.543916 | 2,996 | 26,004 | 4.556409 | 0.111148 | 0.043513 | 0.043074 | 0.026152 | 0.380558 | 0.288184 | 0.244744 | 0.197421 | 0.164677 | 0.152516 | 0 | 0.016633 | 0.290225 | 26,004 | 561 | 154 | 46.352941 | 0.722978 | 0 | 0 | 0.207171 | 0 | 0.011952 | 0.23757 | 0.019842 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057769 | false | 0.005976 | 0.005976 | 0.001992 | 0.093626 | 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 |
22f35b16a60f939a7ee519533639ecb4ccd48d47 | 866 | py | Python | TestFiles/volumioTest.py | GeorgeIoak/Oden | 9bb6a5811e2ea40ceef67e46bc56eab1be9ce06c | [
"MIT"
] | null | null | null | TestFiles/volumioTest.py | GeorgeIoak/Oden | 9bb6a5811e2ea40ceef67e46bc56eab1be9ce06c | [
"MIT"
] | null | null | null | TestFiles/volumioTest.py | GeorgeIoak/Oden | 9bb6a5811e2ea40ceef67e46bc56eab1be9ce06c | [
"MIT"
] | null | null | null | # Testing code to check update status on demand
from socketIO_client import SocketIO, LoggingNamespace
from threading import Thread
socketIO = SocketIO('localhost', 3000)
status = 'pause'
def on_push_state(*args):
print('state', args)
global status, position, duration, seek
status = args[0]['s... | 29.862069 | 72 | 0.674365 | 107 | 866 | 5.336449 | 0.485981 | 0.091068 | 0.057793 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017544 | 0.210162 | 866 | 29 | 73 | 29.862069 | 0.817251 | 0.133949 | 0 | 0 | 0 | 0 | 0.105615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.095238 | 0 | 0.190476 | 0.095238 | 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 |
22f43bae0fb833bc9d376660819fab38bbd38d60 | 11,830 | py | Python | src/use-model.py | sofieditmer/self-assigned | 3033b64d2848fcf73c44dd79ad4e7f07f8387c65 | [
"MIT"
] | null | null | null | src/use-model.py | sofieditmer/self-assigned | 3033b64d2848fcf73c44dd79ad4e7f07f8387c65 | [
"MIT"
] | null | null | null | src/use-model.py | sofieditmer/self-assigned | 3033b64d2848fcf73c44dd79ad4e7f07f8387c65 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Info: This script loads the model trained in the cnn-asl.py script and enables the user to use it for classifying unseen ASL letters. It also visualizes the feature map of the last convolutional layer of the network to enable the user to get an insight into exactly which parts of the original ... | 42.707581 | 421 | 0.623331 | 1,497 | 11,830 | 4.819639 | 0.229793 | 0.045738 | 0.01386 | 0.024255 | 0.176299 | 0.14456 | 0.114207 | 0.103119 | 0.072072 | 0.072072 | 0 | 0.007597 | 0.298986 | 11,830 | 277 | 422 | 42.707581 | 0.862414 | 0.398309 | 0 | 0.072727 | 0 | 0.018182 | 0.185228 | 0.030294 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063636 | false | 0 | 0.1 | 0.009091 | 0.209091 | 0.063636 | 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 |
22f53ccd69bc56b9aef660e968f36d2013f14d05 | 7,899 | py | Python | src/gluonts/nursery/autogluon_tabular/estimator.py | Xiaoxiong-Liu/gluon-ts | 097c492769258dd70b7f223f826b17b0051ceee9 | [
"Apache-2.0"
] | 2,648 | 2019-06-03T17:18:27.000Z | 2022-03-31T08:29:22.000Z | src/gluonts/nursery/autogluon_tabular/estimator.py | Xiaoxiong-Liu/gluon-ts | 097c492769258dd70b7f223f826b17b0051ceee9 | [
"Apache-2.0"
] | 1,220 | 2019-06-04T09:00:14.000Z | 2022-03-31T10:45:43.000Z | src/gluonts/nursery/autogluon_tabular/estimator.py | Xiaoxiong-Liu/gluon-ts | 097c492769258dd70b7f223f826b17b0051ceee9 | [
"Apache-2.0"
] | 595 | 2019-06-04T01:04:31.000Z | 2022-03-30T10:40:26.000Z | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 36.233945 | 122 | 0.613622 | 934 | 7,899 | 4.981799 | 0.278373 | 0.036106 | 0.015474 | 0.021277 | 0.213841 | 0.192564 | 0.17709 | 0.143133 | 0.121212 | 0.121212 | 0 | 0.003716 | 0.318648 | 7,899 | 217 | 123 | 36.400922 | 0.860832 | 0.261426 | 0 | 0.233766 | 0 | 0 | 0.095129 | 0.014419 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012987 | false | 0 | 0.064935 | 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 |
22f548488d990977359fc60d27c5b1e982176596 | 1,032 | py | Python | src/dcar/errors.py | andreas19/dcar | 31118ac5924b7cb01f8b7da5a84480824c046df2 | [
"BSD-3-Clause"
] | 1 | 2020-11-25T15:04:39.000Z | 2020-11-25T15:04:39.000Z | src/dcar/errors.py | andreas19/dcar | 31118ac5924b7cb01f8b7da5a84480824c046df2 | [
"BSD-3-Clause"
] | null | null | null | src/dcar/errors.py | andreas19/dcar | 31118ac5924b7cb01f8b7da5a84480824c046df2 | [
"BSD-3-Clause"
] | null | null | null | """Errors module."""
__all__ = [
'Error',
'AddressError',
'AuthenticationError',
'TransportError',
'ValidationError',
'RegisterError',
'MessageError',
'DBusError',
'SignatureError',
'TooLongError',
]
class Error(Exception):
"""Base class."""
class AddressError(Error):
... | 18.763636 | 67 | 0.671512 | 102 | 1,032 | 6.754902 | 0.45098 | 0.095791 | 0.087083 | 0.07402 | 0.063861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.189922 | 1,032 | 54 | 68 | 19.111111 | 0.824163 | 0.373062 | 0 | 0 | 0 | 0 | 0.211506 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0.454545 | 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 |
22f66223b5c0420ba407f0ba73a5510c6ae72923 | 31,006 | py | Python | Packs/CortexXDR/Integrations/XDR_iocs/XDR_iocs_test.py | SergeBakharev/content | d66cc274f5bf6f9f0e9ed7e4df1af7b6f305aacf | [
"MIT"
] | 1 | 2022-03-05T02:23:32.000Z | 2022-03-05T02:23:32.000Z | Packs/CortexXDR/Integrations/XDR_iocs/XDR_iocs_test.py | SergeBakharev/content | d66cc274f5bf6f9f0e9ed7e4df1af7b6f305aacf | [
"MIT"
] | 42 | 2022-03-11T10:52:26.000Z | 2022-03-31T01:50:42.000Z | Packs/CortexXDR/Integrations/XDR_iocs/XDR_iocs_test.py | SergeBakharev/content | d66cc274f5bf6f9f0e9ed7e4df1af7b6f305aacf | [
"MIT"
] | 2 | 2021-12-13T13:07:21.000Z | 2022-03-05T02:23:34.000Z | from XDR_iocs import *
import pytest
from freezegun import freeze_time
Client.severity = 'INFO'
client = Client({'url': 'test'})
def d_sort(in_dict):
return sorted(in_dict.items())
class TestGetHeaders:
@freeze_time('2020-06-01T00:00:00Z')
def test_sanity(self, mocker):
"""
Given:
... | 44.042614 | 224 | 0.591111 | 3,461 | 31,006 | 5.037561 | 0.10286 | 0.022713 | 0.022713 | 0.015142 | 0.644566 | 0.579983 | 0.498537 | 0.460166 | 0.427416 | 0.411242 | 0 | 0.044583 | 0.272979 | 31,006 | 703 | 225 | 44.105263 | 0.728862 | 0.08121 | 0 | 0.258206 | 0 | 0.030635 | 0.341319 | 0.0769 | 0 | 0 | 0 | 0 | 0.080963 | 1 | 0.083151 | false | 0 | 0.006565 | 0.006565 | 0.164114 | 0.004376 | 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 |
22f898eb9c872bebbb74a0dcd35cbd3eb8f475a0 | 4,444 | py | Python | cloudify_terminal_sdk/netconf_connection.py | cloudify-incubator/cloudify-plugins-sdk | 9805008e739d31e5f9fe3184411648f9be5e6214 | [
"Apache-2.0"
] | 1 | 2019-04-23T03:06:52.000Z | 2019-04-23T03:06:52.000Z | cloudify_terminal_sdk/netconf_connection.py | cloudify-incubator/cloudify-plugins-sdk | 9805008e739d31e5f9fe3184411648f9be5e6214 | [
"Apache-2.0"
] | 9 | 2018-12-17T14:08:29.000Z | 2022-01-16T17:52:54.000Z | cloudify_terminal_sdk/netconf_connection.py | cloudify-incubator/cloudify-plugins-sdk | 9805008e739d31e5f9fe3184411648f9be5e6214 | [
"Apache-2.0"
] | 3 | 2021-12-13T20:53:37.000Z | 2022-01-20T09:01:47.000Z | # Copyright (c) 2015-2020 Cloudify Platform Ltd. All rights reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 35.552 | 74 | 0.605761 | 578 | 4,444 | 4.486159 | 0.290657 | 0.092557 | 0.055534 | 0.049364 | 0.298496 | 0.174315 | 0.121095 | 0.028538 | 0.028538 | 0 | 0 | 0.023665 | 0.296355 | 4,444 | 124 | 75 | 35.83871 | 0.805564 | 0.278578 | 0 | 0.141026 | 0 | 0 | 0.035283 | 0.020343 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089744 | false | 0.025641 | 0.025641 | 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 |
22f9659775a0befbb80b23123b166ed4d7384748 | 15,411 | py | Python | Seismic_Conv1D_dec.py | dyt1990/Seis_DCEC | 6cc56a7db10dd87b0ef39ece73578fca8b23c55f | [
"MIT"
] | 1 | 2021-04-05T06:03:16.000Z | 2021-04-05T06:03:16.000Z | Seismic_Conv1D_dec.py | dyt1990/Seis_DCEC | 6cc56a7db10dd87b0ef39ece73578fca8b23c55f | [
"MIT"
] | null | null | null | Seismic_Conv1D_dec.py | dyt1990/Seis_DCEC | 6cc56a7db10dd87b0ef39ece73578fca8b23c55f | [
"MIT"
] | 2 | 2019-06-13T03:34:20.000Z | 2019-12-16T05:57:30.000Z | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 19 17:48:13 2018
@author: Sediment
"""
# -*- coding: utf-8 -*-
'''
Keras implementation of deep embedder to improve clustering, inspired by:
"Unsupervised Deep Embedding for Clustering Analysis" (Xie et al, ICML 2016)
Definition can accept somewhat custom ne... | 43.78125 | 138 | 0.594251 | 1,869 | 15,411 | 4.745318 | 0.228464 | 0.004961 | 0.017589 | 0.012628 | 0.23148 | 0.211523 | 0.203405 | 0.162814 | 0.162814 | 0.149171 | 0 | 0.020189 | 0.299332 | 15,411 | 351 | 139 | 43.905983 | 0.801167 | 0.175394 | 0 | 0.133333 | 0 | 0 | 0.050293 | 0.002263 | 0 | 0 | 0 | 0.002849 | 0.026667 | 1 | 0.053333 | false | 0 | 0.088889 | 0 | 0.191111 | 0.053333 | 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 |